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The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\n<p>This dataset captures the restaurants that are\ninspected.<span>\u00a0 </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span>\u00a0 </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span>\u00a0 </span><a href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc'>Food Safety and Sanitation</a></p>\n\n<p>This table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.</p><p>\n\n</p><p>This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.<span>\u00a0\n</span>Those three tables are:</p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.<span style='font:7.0pt &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </span></span></span><b><span style='color:black;'>Restaurants:\n</span></b><span style='color:black;'>This table captures all active facilities\nwhere Wake County performs sanitations inspections.<span>\u00a0 </span>Facilities that are closed are removed from\nall three files in this dataset.<span>\u00a0 </span>Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.<span style='font:7.0pt &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </span></span></span><b><span style='color:black;'>Food Inspections:\n</span></b><span style='color:black;'>This table captures all Wake County\nperforms sanitations inspections at active restaurants since September 20, 2012</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.<span style='font:7.0pt &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </span></span></span><b><span style='color:black;'><span style='color:rgb(76, 76, 76);'>Food Inspection </span>Violations:\n</span></b><span style='color:black;'>This table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.<span>\u00a0 </span>It\nreports the results in code violations and according to CDC Risk Factors.<span>\u00a0 </span></span>You can find additional information\nabout the CDC Risk Factors on the FDA website: <a href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc'><span style='font-size:10.0pt; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; color:blue; text-decoration:none;'>Retail Risk Factor\nStudy</span></a><span style='color:black;'></span></p>\n\n<p>\u00a0</p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span>\u00a0 </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt &quot;Times New Roman&quot;;'></span></span></span>The frequency of facility inspections fall under\nthe following rules:</p>\n\n<p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected once per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category I </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>applies to food service\nestablishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected twice per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category II </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>applies to food service\nestablishments that cook and cool no more than two potentially hazardous foods.\nPotentially hazardous raw ingredients shall be received in a ready-to-cook\nform.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected three times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category III </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>applies to food service\nestablishments that cook and cool no more than three potentially hazardous\nfoods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected four times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-size:12.0pt;'>Risk Category IV </span></b><span style='font-size:12.0pt;'>applies to\nfood service establishments that cook and cool an unlimited number of\npotentially hazardous foods. This category also includes those facilities using\nspecialized processes or serving a highly susceptible population.</span></p><span style='color:black;'><span><br /></span></span>\n\n<table border='0' cellpadding='0' cellspacing='0' style='width:513.0pt; border-collapse:collapse; margin-left:6.75pt; margin-right:6.75pt;' width='684'>\n <tbody><tr style='height:30.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>\u00a0</span></b></p>\n  \n  \n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Field</span></b></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Description</span></b></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>HSISID</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>State code identifying the\n  restaurant (also the primary key to identify the restaurant)</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Score</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Final score for this inspection</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date of inspection</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Description</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>General comments not that may or\n  may not be tied to a inspection question</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type of inspection: Inspection, Re-inspection,\n  Visit</span></p>\n  </td>\n </tr>\n \n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>PermitID</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Deprecated. No longer provided.</span></p>\n  </td>\n </tr>\n</tbody></table>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/csv?layers=1","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/geojson?layers=1","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/kml?layers=1","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/shapefile?layers=1","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspections","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/1","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=ebe3ae7f76954fad81411612d7c4fb17&sublayer=1","issued":"2016-08-12T18:31:22.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspections","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-02T04:30:18.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9746,35.5378,-78.2667,36.0504","theme":["geospatial"],"title":"Food Inspections"},"description":"The Wake County health department inspects food service facilities\nthroughout Wake County. The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\n<p>This dataset captures the restaurants that are\ninspected.<span>\u00a0 </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span>\u00a0 </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span>\u00a0 </span><a href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc'>Food Safety and Sanitation</a></p>\n\n<p>This table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.</p><p>\n\n</p><p>This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.<span>\u00a0\n</span>Those three tables are:</p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.<span style='font:7.0pt &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </span></span></span><b><span style='color:black;'>Restaurants:\n</span></b><span style='color:black;'>This table captures all active facilities\nwhere Wake County performs sanitations inspections.<span>\u00a0 </span>Facilities that are closed are removed from\nall three files in this dataset.<span>\u00a0 </span>Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.<span style='font:7.0pt &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </span></span></span><b><span style='color:black;'>Food Inspections:\n</span></b><span style='color:black;'>This table captures all Wake County\nperforms sanitations inspections at active restaurants since September 20, 2012</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.<span style='font:7.0pt &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </span></span></span><b><span style='color:black;'><span style='color:rgb(76, 76, 76);'>Food Inspection </span>Violations:\n</span></b><span style='color:black;'>This table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.<span>\u00a0 </span>It\nreports the results in code violations and according to CDC Risk Factors.<span>\u00a0 </span></span>You can find additional information\nabout the CDC Risk Factors on the FDA website: <a href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc'><span style='font-size:10.0pt; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; color:blue; text-decoration:none;'>Retail Risk Factor\nStudy</span></a><span style='color:black;'></span></p>\n\n<p>\u00a0</p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span>\u00a0 </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt &quot;Times New Roman&quot;;'></span></span></span>The frequency of facility inspections fall under\nthe following rules:</p>\n\n<p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected once per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category I </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>applies to food service\nestablishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected twice per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category II </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>applies to food service\nestablishments that cook and cool no more than two potentially hazardous foods.\nPotentially hazardous raw ingredients shall be received in a ready-to-cook\nform.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected three times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category III </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>applies to food service\nestablishments that cook and cool no more than three potentially hazardous\nfoods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected four times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-size:12.0pt;'>Risk Category IV </span></b><span style='font-size:12.0pt;'>applies to\nfood service establishments that cook and cool an unlimited number of\npotentially hazardous foods. This category also includes those facilities using\nspecialized processes or serving a highly susceptible population.</span></p><span style='color:black;'><span><br /></span></span>\n\n<table border='0' cellpadding='0' cellspacing='0' style='width:513.0pt; border-collapse:collapse; margin-left:6.75pt; margin-right:6.75pt;' width='684'>\n <tbody><tr style='height:30.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>\u00a0</span></b></p>\n  \n  \n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Field</span></b></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Description</span></b></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>HSISID</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>State code identifying the\n  restaurant (also the primary key to identify the restaurant)</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Score</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Final score for this inspection</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date of inspection</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Description</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>General comments not that may or\n  may not be tied to a inspection question</span></p>\n  </td>\n </tr>\n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type of inspection: Inspection, Re-inspection,\n  Visit</span></p>\n  </td>\n </tr>\n \n <tr style='height:15.0pt;'>\n  <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>PermitID</span></p>\n  </td>\n  <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n  <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Deprecated. No longer provided.</span></p>\n  </td>\n </tr>\n</tbody></table>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/ac2f00ad-10f2-4134-9a56-4bb1a5e4edf2","harvest_record_raw":"https://catalog.data.gov/harvest_record/ac2f00ad-10f2-4134-9a56-4bb1a5e4edf2/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=ebe3ae7f76954fad81411612d7c4fb17&sublayer=1","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-02T19:23:54.414043","organization":{"aliases":["north carolina"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"6f5c454f-8dd6-44dd-8d70-89f04303d273","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/county_wake_nc.png","name":"Wake County","organization_type":"County Government","slug":"wake-county-nc"},"parent_identifier":null,"popularity":32,"publisher":"Wake County","slug":"food-inspections-f168d","spatial_centroid":{"lat":35.74284,"lon":-78.69144},"spatial_shape":{"coordinates":[[[-78.9746,35.5378],[-78.9746,36.0504],[-78.2667,36.0504],[-78.2667,35.5378],[-78.9746,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspections","type":"dataset"},{"_score":7.9185677,"_sort":[1788377034199,7.9185677,26,"41c3b6dd-8660-44ed-9ca4-75ee2854c77f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"description":"<div>The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.</div><p>This dataset captures the restaurants that are inspected.<span>&nbsp; </span>The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.<span>&nbsp;</span></p><p>You can find out additional information about our restaurant inspections on our website:<span>&nbsp; </span><a target='_blank' href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc noopener noreferrer'>Food Safety and Sanitation</a></p><p>This table captures all Wake County sanitation inspections from September 20, 2012 to Present.</p><p>&nbsp;</p><p>This table is part of a set of data that combined will give you a picture of all restaurant inspections.<span>&nbsp; </span>Those three tables are:</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Restaurants: </strong>This table captures all active facilities where Wake County performs sanitations inspections.<span>&nbsp; </span>Facilities that are closed are removed from all three files in this dataset.<span>&nbsp; </span>Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Food Inspections: </strong>This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='color:rgb(76,76,76);'><strong>Food Inspection </strong></span><span style='color:black;'><strong>Violations: </strong>This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012.<span>&nbsp; </span>It reports the results in code violations and according to CDC Risk Factors.<span>&nbsp; </span></span>You can find additional information about the CDC Risk Factors on the FDA website: <a target='_blank' href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc noopener noreferrer'><span style='color:blue; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; font-size:10.0pt;'><span style='text-decoration:none;'>Retail Risk Factor Study</span></span></a></p><p>&nbsp;</p><p>The tables can be connected through the <span style='color:black;'>HSISID field.<span>&nbsp;</span></span></p><p style='text-indent:-.25in;'>&nbsp; &nbsp; &nbsp; The frequency of facility inspections fall under the following rules:</p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected once per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category I </strong>applies to food service establishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected twice per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category II </strong>applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.</span></p><p style='margin-left:.5in;'>&nbsp;</p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Field Descriptions</strong> are available </span><a target='_blank' href='https://maps.wake.gov/metadata/FoodInspectionViolationsFieldDefinitions.pdf' rel='nofollow ugc noopener noreferrer'><span style='font-size:12.0pt;'>here</span></a>.</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/csv?layers=2","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/geojson?layers=2","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/kml?layers=2","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/shapefile?layers=2","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspection-violations","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/2","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=9b04d0c39abd4e049cbd4656a0a04ba3&sublayer=2","issued":"2016-08-12T18:35:12.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspection-violations","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-02T04:30:20.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9746,35.5378,-78.2667,36.0504","theme":["geospatial"],"title":"Food Inspection Violations"},"description":"<div>The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.</div><p>This dataset captures the restaurants that are inspected.<span>&nbsp; </span>The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.<span>&nbsp;</span></p><p>You can find out additional information about our restaurant inspections on our website:<span>&nbsp; </span><a target='_blank' href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc noopener noreferrer'>Food Safety and Sanitation</a></p><p>This table captures all Wake County sanitation inspections from September 20, 2012 to Present.</p><p>&nbsp;</p><p>This table is part of a set of data that combined will give you a picture of all restaurant inspections.<span>&nbsp; </span>Those three tables are:</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Restaurants: </strong>This table captures all active facilities where Wake County performs sanitations inspections.<span>&nbsp; </span>Facilities that are closed are removed from all three files in this dataset.<span>&nbsp; </span>Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Food Inspections: </strong>This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='color:rgb(76,76,76);'><strong>Food Inspection </strong></span><span style='color:black;'><strong>Violations: </strong>This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012.<span>&nbsp; </span>It reports the results in code violations and according to CDC Risk Factors.<span>&nbsp; </span></span>You can find additional information about the CDC Risk Factors on the FDA website: <a target='_blank' href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc noopener noreferrer'><span style='color:blue; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; font-size:10.0pt;'><span style='text-decoration:none;'>Retail Risk Factor Study</span></span></a></p><p>&nbsp;</p><p>The tables can be connected through the <span style='color:black;'>HSISID field.<span>&nbsp;</span></span></p><p style='text-indent:-.25in;'>&nbsp; &nbsp; &nbsp; The frequency of facility inspections fall under the following rules:</p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected once per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category I </strong>applies to food service establishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected twice per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category II </strong>applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.</span></p><p style='margin-left:.5in;'>&nbsp;</p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Field Descriptions</strong> are available </span><a target='_blank' href='https://maps.wake.gov/metadata/FoodInspectionViolationsFieldDefinitions.pdf' rel='nofollow ugc noopener noreferrer'><span style='font-size:12.0pt;'>here</span></a>.</p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/a1932a86-b4e3-4fdc-a09e-189e107a8c60","harvest_record_raw":"https://catalog.data.gov/harvest_record/a1932a86-b4e3-4fdc-a09e-189e107a8c60/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=9b04d0c39abd4e049cbd4656a0a04ba3&sublayer=2","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-02T19:23:54.199573","organization":{"aliases":["north carolina"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"6f5c454f-8dd6-44dd-8d70-89f04303d273","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/county_wake_nc.png","name":"Wake County","organization_type":"County Government","slug":"wake-county-nc"},"parent_identifier":null,"popularity":26,"publisher":"Wake County","slug":"food-inspection-violations","spatial_centroid":{"lat":35.74284,"lon":-78.69144},"spatial_shape":{"coordinates":[[[-78.9746,35.5378],[-78.9746,36.0504],[-78.2667,36.0504],[-78.2667,35.5378],[-78.9746,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspection Violations","type":"dataset"},{"_score":7.3560276,"_sort":[1788377033590,7.3560276,22,"447a7af9-67f8-4991-be0e-e19701f5da73"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"description":"<p>The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.</p><p>This dataset captures the restaurants that are inspected.<span>&nbsp; </span>The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.<span>&nbsp;</span></p><p>You can find out additional information about our restaurant inspections on our website:<span>&nbsp; </span><a target='_blank' href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc noopener noreferrer'>Food Safety and Sanitation</a></p><p>This table captures all Wake County sanitation inspections from September 20, 2012 to Present.</p><p>&nbsp;</p><p>This table is part of a set of data that combined will give you a picture of all restaurant inspections.<span>&nbsp; </span>Those three tables are:</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Restaurants: </strong>This table captures all active facilities where Wake County performs sanitations inspections.<span>&nbsp; </span>Facilities that are closed are removed from all three files in this dataset.<span>&nbsp; </span>Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Food Inspections: </strong>This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='color:rgb(76,76,76);'><strong>Food Inspection </strong></span><span style='color:black;'><strong>Violations: </strong>This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012.<span>&nbsp; </span>It reports the results in code violations and according to CDC Risk Factors.<span>&nbsp; </span></span>You can find additional information about the CDC Risk Factors on the FDA website: <a target='_blank' href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc noopener noreferrer'><span style='color:blue; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; font-size:10.0pt;'><span style='text-decoration:none;'>Retail Risk Factor Study</span></span></a></p><p>&nbsp;</p><p>The tables can be connected through the <span style='color:black;'>HSISID field.<span>&nbsp;</span></span></p><p style='text-indent:-.25in;'>T &nbsp; &nbsp;The frequency of facility inspections fall under the following rules:</p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected once per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category I </strong>applies to food service establishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected twice per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category II </strong>applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.</span></p><p style='margin-left:.5in;'>&nbsp;</p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Field Descriptions</strong> are available </span><a target='_blank' href='https://maps.wake.gov/metadata/RestaurantsFieldDefinitions.pdf' rel='nofollow ugc noopener noreferrer'><span style='font-size:12.0pt;'>here</span></a>.</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'>&nbsp;</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::restaurants-in-wake-county","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=124c2187da8c41c59bde04fa67eb2872&sublayer=0","issued":"2016-08-12T18:16:04.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::restaurants-in-wake-county","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-02T04:30:27.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9746,35.5378,-78.2667,36.0504","theme":["geospatial"],"title":"Restaurants in Wake County"},"description":"<p>The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.</p><p>This dataset captures the restaurants that are inspected.<span>&nbsp; </span>The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.<span>&nbsp;</span></p><p>You can find out additional information about our restaurant inspections on our website:<span>&nbsp; </span><a target='_blank' href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc noopener noreferrer'>Food Safety and Sanitation</a></p><p>This table captures all Wake County sanitation inspections from September 20, 2012 to Present.</p><p>&nbsp;</p><p>This table is part of a set of data that combined will give you a picture of all restaurant inspections.<span>&nbsp; </span>Those three tables are:</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Restaurants: </strong>This table captures all active facilities where Wake County performs sanitations inspections.<span>&nbsp; </span>Facilities that are closed are removed from all three files in this dataset.<span>&nbsp; </span>Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Food Inspections: </strong>This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='color:rgb(76,76,76);'><strong>Food Inspection </strong></span><span style='color:black;'><strong>Violations: </strong>This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012.<span>&nbsp; </span>It reports the results in code violations and according to CDC Risk Factors.<span>&nbsp; </span></span>You can find additional information about the CDC Risk Factors on the FDA website: <a target='_blank' href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc noopener noreferrer'><span style='color:blue; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; font-size:10.0pt;'><span style='text-decoration:none;'>Retail Risk Factor Study</span></span></a></p><p>&nbsp;</p><p>The tables can be connected through the <span style='color:black;'>HSISID field.<span>&nbsp;</span></span></p><p style='text-indent:-.25in;'>T &nbsp; &nbsp;The frequency of facility inspections fall under the following rules:</p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected once per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category I </strong>applies to food service establishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected twice per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category II </strong>applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. 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per dept per day","type":"dataset"},{"_score":3.2128944,"_sort":[1788376855901,3.2128944,3,"0ef0d556-2377-489c-8299-0677abc11c47"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Jeremy Herhusky-Schneider","hasEmail":"mailto:no-reply@data.bloomington.in.gov"},"description":"The AccessAbility Decal program is a project of the Council for Community Accessibility (CCA) to recognize local businesses that are accessible to persons with disabilities.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.bloomington.in.gov/api/views/ergx-jurs/columns.json","describedByType":"application/json","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.bloomington.in.gov/api/views/ergx-jurs/columns.xml","describedByType":"application/xml","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.bloomington.in.gov/api/views/ergx-jurs","issued":"2023-09-18","keyword":["accessibility"],"landingPage":"https://data.bloomington.in.gov/d/ergx-jurs","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.bloomington.in.gov"},"theme":["Health & Human Services"],"title":"AccessAbility Decal Recipients"},"description":"The AccessAbility Decal program is a project of the Council for Community Accessibility (CCA) to recognize local businesses that are accessible to persons with disabilities.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/012cb088-0a40-480d-9322-2338d0ca8109","harvest_record_raw":"https://catalog.data.gov/harvest_record/012cb088-0a40-480d-9322-2338d0ca8109/raw","has_download":true,"has_spatial":false,"identifier":"https://data.bloomington.in.gov/api/views/ergx-jurs","keyword":["accessibility"],"last_harvested_date":"2026-09-02T19:20:55.901585","organization":{"aliases":["indiana"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7550a5ee-be88-43e1-8dd7-14a5f120ab37","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_bloomington_in.png","name":"City of Bloomington","organization_type":"City Government","slug":"bloomington-in"},"parent_identifier":null,"popularity":3,"publisher":"data.bloomington.in.gov","slug":"accessability-decal-recipients","spatial_centroid":null,"spatial_shape":null,"theme":["Health & Human Services"],"title":"AccessAbility Decal Recipients","type":"dataset"},{"_score":30.40063,"_sort":[1788376844481,30.40063,1,"b1d958c2-a918-4c1d-b7ed-3abc1488898d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p>Wastewater-based epidemiology, which is the science of studying community sewage for public health information, is one method of getting information about community health and narcotics consumption. In an effort to prevent and reduce opioid misuse, the City of Tempe is working with scientists from Arizona State University's Biodesign Institute to study the city's wastewater.&nbsp;</p><div>&nbsp;</div><div>This feature layer view shows the testing results from wastewater collection areas which are comprised of merged public sewage drainage basins that flow to a shared testing location for the opioid wastewater study. The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute. The wastewater is tested for the presence of prescription opioid parent drug compounds such as Fentanyl, Oxycodone, Codeine, the illegally made opioid parent drug compound Heroin and opioid metabolite drug compounds including Norfentanyl, 6-Acetylmorphine and Noroxycodone.</div><p><br /><strong>&nbsp;Additional Information&nbsp;</strong><br /><br /><strong>Source:</strong> Arizona State University's Biodesign Institute provided Excel document.&nbsp;<br /><strong>Contact:&nbsp;</strong>Zoe Aiello<br /><strong>Contact email:</strong>&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a><br /><strong>Data Source Type:</strong> Table&nbsp;<br /><strong>Preparation Method:</strong> Excel Spreadsheet entered into ArcGIS Survey 123 form which populates ArcGIS Online feature layer table.&nbsp;<br /><strong>Publish Frequency:</strong> Weekly, as data becomes available Publish Method: The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute and published to an ArcGIS Online feature layer table.&nbsp;<br /><a target='_blank' href='https://gis.tempe.gov/design/data-dictionary/Wastewater%20Opioids/' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::biomarker-opioids-open-data","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/survey123_a6577bb6895046e48367932f1ea54fe3_results/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=8d7952f468e245cbbafb05f4ee3cf354&sublayer=0","issued":"2023-03-27T16:47:36.000Z","keyword":["Arizona","Tempe","community health","opioids","public health","wastewater"],"landingPage":"https://data.tempe.gov/datasets/tempegov::biomarker-opioids-open-data","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-08-28T23:35:23.409Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-90.0000,180.0000,90.0000","theme":["geospatial"],"title":"Biomarker  Opioids (open data)"},"description":"<p>Wastewater-based epidemiology, which is the science of studying community sewage for public health information, is one method of getting information about community health and narcotics consumption. In an effort to prevent and reduce opioid misuse, the City of Tempe is working with scientists from Arizona State University's Biodesign Institute to study the city's wastewater.&nbsp;</p><div>&nbsp;</div><div>This feature layer view shows the testing results from wastewater collection areas which are comprised of merged public sewage drainage basins that flow to a shared testing location for the opioid wastewater study. The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute. The wastewater is tested for the presence of prescription opioid parent drug compounds such as Fentanyl, Oxycodone, Codeine, the illegally made opioid parent drug compound Heroin and opioid metabolite drug compounds including Norfentanyl, 6-Acetylmorphine and Noroxycodone.</div><p><br /><strong>&nbsp;Additional Information&nbsp;</strong><br /><br /><strong>Source:</strong> Arizona State University's Biodesign Institute provided Excel document.&nbsp;<br /><strong>Contact:&nbsp;</strong>Zoe Aiello<br /><strong>Contact email:</strong>&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a><br /><strong>Data Source Type:</strong> Table&nbsp;<br /><strong>Preparation Method:</strong> Excel Spreadsheet entered into ArcGIS Survey 123 form which populates ArcGIS Online feature layer table.&nbsp;<br /><strong>Publish Frequency:</strong> Weekly, as data becomes available Publish Method: The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute and published to an ArcGIS Online feature layer table.&nbsp;<br /><a target='_blank' href='https://gis.tempe.gov/design/data-dictionary/Wastewater%20Opioids/' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/98246c74-2da4-4066-9523-02310a5340ca","harvest_record_raw":"https://catalog.data.gov/harvest_record/98246c74-2da4-4066-9523-02310a5340ca/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=8d7952f468e245cbbafb05f4ee3cf354&sublayer=0","keyword":["Arizona","Tempe","community health","opioids","public health","wastewater"],"last_harvested_date":"2026-09-02T19:20:44.481712","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":1,"publisher":"City of Tempe","slug":"biomarker-opioids-open-data","spatial_centroid":{"lat":-18.0,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Biomarker  Opioids (open data)","type":"dataset"},{"_score":22.792673,"_sort":[1788376844250,22.792673,3,"98b102b3-88ad-4370-a1dc-b8613cdcf907"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<div>Wastewater collection areas are comprised of merged sewage drainage basins that flow to a shared testing location for the COVID-19 wastewater study. The collection area polygons are published with related wastewater testing data, which are provided by scientists from Arizona State University's Biodesign Institute.</div><div>&nbsp;</div><div>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19. People infected with SARS-CoV-2 excrete the virus in their feces in a process known as \u201cshedding\u201d. The municipal wastewater treatment system (sewage system) collects and aggregates these bathroom contributions across communities.&nbsp;</div><div>&nbsp;</div><div>Tempe wastewater samples are collected downstream of a community and the samples are brought to the ASU lab to analyze for the virus. Analysis is based on the genetic material inside the virus.&nbsp;</div><div>&nbsp;</div><div>About the data:</div><div><ul><li>These data illustrate a trend of the signal of the weekly average of COVID-19 genome copies per liter of wastewater in Tempe's sewage. The dashboard and collection area map do not depict the number of individuals infected.&nbsp;</li><li>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It does not reflect the specific location where the deposit occurs.</li><li>While testing can successfully quantify the results, research has not yet determined the relationship between these genome values and the number of people who are positive for COVID-19 in the community.</li><li>The quantity of RNA detected in sewage is real; the interpretation of that signal and its implication for public health is ongoing research. Currently, there is not a baseline for determining a strong or weak signal.</li><li>The shedding rate and shedding duration for individuals, both symptomatic and asymptomatic, is still unknown.</li><li>Data are shared as the testing results become available.&nbsp; As results may not be released at the same time, testing results for each area may not yet be seen for a given day or week.&nbsp;</li><li>The dashboard presents the weekly averages. Data are collected from 2-7 days per week.&nbsp;</li><li>The quantifiable level of 5,000 copies per liter is the lowest amount measurable with current testing. Results that are below the quantifiable level of 5,000 copies per liter do not suggest the absence of the virus in the collection area. It is possible to have results below the quantifiable level of 5,000 on one day/week and then have a greater signal on a subsequent day/week.</li><li>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up the majority of Collection Area 1 samples. After the collection period of April 7-24, 2020, Collection Area 1 samples include only Tempe wastewater.</li><li>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line.&nbsp; For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage.&nbsp;&nbsp;</li></ul><p><strong>Additional Information</strong></p><div>Source:&nbsp;</div><div>Contact:&nbsp;Zoe Aiello</div><div>Contact email:&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></div><div>Preparation Method:&nbsp;</div><div>Publish Frequency:&nbsp;Weekly or as data becomes available</div><div>Publish Method: Manual</div><div>Data Dictionary (pending)</div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/excel?layers=0","format":"XLSX","mediaType":"application/vnd.ms-excel","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/featureCollection?layers=0","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/geoPackage?layers=0","format":"GPKG","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/sqlite?layers=0","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::wastewater-testing-covid-19-results-public-view","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/survey123_fac3a0c99eb642a6a36737773816d2a7_results/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=c921c8af868f4e17b857c390543c5250&sublayer=0","issued":"2023-07-26T17:49:00.000Z","keyword":["Arizona","COVID 19","Tempe","biomarker","community health","public health","wastewater"],"landingPage":"https://data.tempe.gov/datasets/tempegov::wastewater-testing-covid-19-results-public-view","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-08-28T23:14:49.479Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-90.0000,180.0000,90.0000","theme":["geospatial"],"title":"Wastewater Testing COVID-19 Results (Public View)"},"description":"<div>Wastewater collection areas are comprised of merged sewage drainage basins that flow to a shared testing location for the COVID-19 wastewater study. The collection area polygons are published with related wastewater testing data, which are provided by scientists from Arizona State University's Biodesign Institute.</div><div>&nbsp;</div><div>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19. People infected with SARS-CoV-2 excrete the virus in their feces in a process known as \u201cshedding\u201d. The municipal wastewater treatment system (sewage system) collects and aggregates these bathroom contributions across communities.&nbsp;</div><div>&nbsp;</div><div>Tempe wastewater samples are collected downstream of a community and the samples are brought to the ASU lab to analyze for the virus. Analysis is based on the genetic material inside the virus.&nbsp;</div><div>&nbsp;</div><div>About the data:</div><div><ul><li>These data illustrate a trend of the signal of the weekly average of COVID-19 genome copies per liter of wastewater in Tempe's sewage. The dashboard and collection area map do not depict the number of individuals infected.&nbsp;</li><li>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It does not reflect the specific location where the deposit occurs.</li><li>While testing can successfully quantify the results, research has not yet determined the relationship between these genome values and the number of people who are positive for COVID-19 in the community.</li><li>The quantity of RNA detected in sewage is real; the interpretation of that signal and its implication for public health is ongoing research. Currently, there is not a baseline for determining a strong or weak signal.</li><li>The shedding rate and shedding duration for individuals, both symptomatic and asymptomatic, is still unknown.</li><li>Data are shared as the testing results become available.&nbsp; As results may not be released at the same time, testing results for each area may not yet be seen for a given day or week.&nbsp;</li><li>The dashboard presents the weekly averages. Data are collected from 2-7 days per week.&nbsp;</li><li>The quantifiable level of 5,000 copies per liter is the lowest amount measurable with current testing. Results that are below the quantifiable level of 5,000 copies per liter do not suggest the absence of the virus in the collection area. It is possible to have results below the quantifiable level of 5,000 on one day/week and then have a greater signal on a subsequent day/week.</li><li>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up the majority of Collection Area 1 samples. After the collection period of April 7-24, 2020, Collection Area 1 samples include only Tempe wastewater.</li><li>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line.&nbsp; For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage.&nbsp;&nbsp;</li></ul><p><strong>Additional Information</strong></p><div>Source:&nbsp;</div><div>Contact:&nbsp;Zoe Aiello</div><div>Contact email:&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></div><div>Preparation Method:&nbsp;</div><div>Publish Frequency:&nbsp;Weekly or as data becomes available</div><div>Publish Method: Manual</div><div>Data Dictionary (pending)</div></div>","distribution_titles":["CSV","Excel","Feature Collection","File Geodatabase","GeoPackage","GeoJSON","KML","Shapefile","SQLite Geodatabase","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/58bb3aa7-37f3-4b1b-be20-4445b2d77ce0","harvest_record_raw":"https://catalog.data.gov/harvest_record/58bb3aa7-37f3-4b1b-be20-4445b2d77ce0/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=c921c8af868f4e17b857c390543c5250&sublayer=0","keyword":["Arizona","COVID 19","Tempe","biomarker","community health","public health","wastewater"],"last_harvested_date":"2026-09-02T19:20:44.250835","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":3,"publisher":"City of Tempe","slug":"wastewater-testing-covid-19-results-public-view","spatial_centroid":{"lat":-18.0,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Wastewater Testing COVID-19 Results (Public View)","type":"dataset"},{"_score":15.772325,"_sort":[1788376836242,15.772325,5,"bc735ea0-7765-4e71-b09d-1a30a8afcccb"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p style='margin-left:0.25in;'><b>The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. T</b><b>his approximated location data is also shown on the dashboard.</b></p><p style='margin-left:0.25in;'><font size='4'>This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.\u00a0<br /></font></p><p style='margin-left:0.25in;'><font size='4'><b>Opioid Abuse Probable</b><br /></font></p><p style='margin-left:0.25in;'><font size='4'>A call may be coded as \u201copioid abuse probable\u201d for many reasons, such as</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>Are there are any medical symptoms indicative of opioid abuse?<br /></font></li><li><font size='4'>Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?<br /></font></li><li><font size='4'>Are there witnesses or patient statements made that point to opioid abuse?<br /></font></li><li><font size='4'>Is there any other evidence that opioid abuse is probable with the patient?<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><font size='4'>\u201cOpioid abuse probable\u201d is determined by Tempe Fire Medical Rescue Department\u2019s Emergency medical technicians and paramedics on scene at the time of the incident.\u00a0</font></p><p style='margin-left:0.25in;'><b><font size='4'>Narcan/Naloxone Given</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cNarcan/Naloxone Given\u201d refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given.\u00a0 Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication.\u00a0 Narcan is the reversal medication used by medical providers for opioid overdoses.</font></p><p style='margin-left:0.25in;'><b><font size='4'>Groups</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cGroups\u201d are used to determine if there are specific populations that have an increase in opioid abuse.\u00a0</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.<br /></font></li><li><font size='4'>The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe\u2019s Veterans and Homeless programs.\u00a0 Since these data sets were being evaluated already, they were included in the opioid data collection as well.<br /></font></li><li><font size='4'>The \u201cunknown\u201d group includes incidents where a patient is unable to answer or refuses to answer the demographic questions.\u00a0\u00a0<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><b><font size='4'>Gender</font></b></p><p style='margin-left:0.25in;'><font size='4'>Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.\u00a0</font></p><p style='margin-left:0.25in;'><font size='4'>Information about the data can be found at\u00a0</font><a href='https://bit.ly/2xXbD20' target='_blank' rel='nofollow ugc noopener noreferrer'>https://bit.ly/2xXbD20</a></p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::opioid-ems-calls","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/Opioid_Calls/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=2daeeafd2741494c8294ca415e5a793e&sublayer=0","issued":"2019-04-22T22:08:55.000Z","keyword":["Arizona","Tempe","calls for service","community health","fire","opioids","public health"],"landingPage":"https://data.tempe.gov/datasets/tempegov::opioid-ems-calls","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-02T04:00:21.805Z","publisher":{"name":"City of Tempe"},"spatial":"-112.0095,33.3030,33.4090,33.4860","theme":["geospatial"],"title":"Opioid EMS Calls"},"description":"<p style='margin-left:0.25in;'><b>The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. T</b><b>his approximated location data is also shown on the dashboard.</b></p><p style='margin-left:0.25in;'><font size='4'>This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.\u00a0<br /></font></p><p style='margin-left:0.25in;'><font size='4'><b>Opioid Abuse Probable</b><br /></font></p><p style='margin-left:0.25in;'><font size='4'>A call may be coded as \u201copioid abuse probable\u201d for many reasons, such as</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>Are there are any medical symptoms indicative of opioid abuse?<br /></font></li><li><font size='4'>Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?<br /></font></li><li><font size='4'>Are there witnesses or patient statements made that point to opioid abuse?<br /></font></li><li><font size='4'>Is there any other evidence that opioid abuse is probable with the patient?<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><font size='4'>\u201cOpioid abuse probable\u201d is determined by Tempe Fire Medical Rescue Department\u2019s Emergency medical technicians and paramedics on scene at the time of the incident.\u00a0</font></p><p style='margin-left:0.25in;'><b><font size='4'>Narcan/Naloxone Given</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cNarcan/Naloxone Given\u201d refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given.\u00a0 Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication.\u00a0 Narcan is the reversal medication used by medical providers for opioid overdoses.</font></p><p style='margin-left:0.25in;'><b><font size='4'>Groups</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cGroups\u201d are used to determine if there are specific populations that have an increase in opioid abuse.\u00a0</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.<br /></font></li><li><font size='4'>The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe\u2019s Veterans and Homeless programs.\u00a0 Since these data sets were being evaluated already, they were included in the opioid data collection as well.<br /></font></li><li><font size='4'>The \u201cunknown\u201d group includes incidents where a patient is unable to answer or refuses to answer the demographic questions.\u00a0\u00a0<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><b><font size='4'>Gender</font></b></p><p style='margin-left:0.25in;'><font size='4'>Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.\u00a0</font></p><p style='margin-left:0.25in;'><font size='4'>Information about the data can be found at\u00a0</font><a href='https://bit.ly/2xXbD20' target='_blank' rel='nofollow ugc noopener noreferrer'>https://bit.ly/2xXbD20</a></p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/6ff5267e-ae84-46a0-b1ea-f6f3fcbf5caa","harvest_record_raw":"https://catalog.data.gov/harvest_record/6ff5267e-ae84-46a0-b1ea-f6f3fcbf5caa/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=2daeeafd2741494c8294ca415e5a793e&sublayer=0","keyword":["Arizona","Tempe","calls for service","community health","fire","opioids","public health"],"last_harvested_date":"2026-09-02T19:20:36.242459","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":5,"publisher":"City of Tempe","slug":"opioid-ems-calls","spatial_centroid":{"lat":33.3762,"lon":-53.8421},"spatial_shape":{"coordinates":[[[-112.0095,33.303],[-112.0095,33.486],[33.409,33.486],[33.409,33.303],[-112.0095,33.303]]],"type":"Polygon"},"theme":["geospatial"],"title":"Opioid EMS Calls","type":"dataset"},{"_score":27.605278,"_sort":[1788376835420,27.605278,1,"2b0ff021-a4db-45a7-a4fb-7ff8a6331354"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p>This dataset supports the\u202f<a target='_blank' href='https://wastewater.tempe.gov/pages/biomarker-measles' rel='nofollow ugc noopener noreferrer'>Biomarker: Measles page</a> on the\u202fTempe Wastewater BioIntel Program site.</p><p>People infected with measles can shed the virus, or pieces of its genetic material. These materials enter the wastewater system through normal bodily waste. Wastewater is collected from sample sites throughout Tempe that represent collection areas. Each collection area represents a population greater than 3,000 people. &nbsp;</p><p>Wastewater collection areas are geographic regions that include the properties whose wastewater (sewage) flows past a shared sampling point on its way to a wastewater treatment plant. &nbsp;Each sample represents a mixture of wastewater from everyone connected to that part of the sewer system. &nbsp;Because the sample is a mixture of sewage that represents a population of at least 3,000 people, it is impossible to determine who or how many people may have contributed to a positive detection.</p><p>At each sampling site, wastewater is collected continuously over a 24-hour period to create a sample that reflects waste from the full day. The sample is then transported to a laboratory, where scientists prepare and analyze it to determine whether the measles genetic material can be detected.</p><p>For more information about how wastewater testing works, please visit the Tempe Wastewater BioIntel Program\u2019s <a target='_blank' href='https://wastewater.tempe.gov/pages/how-we-do-it' rel='nofollow ugc noopener noreferrer'>\u201cHow We Do It\u201d webpage</a>.&nbsp;</p><p><strong>About the data: &nbsp;</strong></p><ul><li><span style='font-size:16px;'>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It cannot identify the specific location where the virus originated. &nbsp;</span></li><li><span style='font-size:16px;'>While wastewater data can follow trends in reported infections, it cannot determine who or how many people may be sick.</span></li><li><span style='font-size:16px;'>A non-detect in wastewater does not necessarily mean measles is not present in the community. &nbsp;Wastewater data may not capture every possible source of exposure in the community as not everyone contributes to the City\u2019s wastewater system. &nbsp;For example, visitors passing through the community may not use restroom facilities while they are here, and residents who rely on septic systems are not connected to the municipal sewer system. Additionally, detections can be influenced by several factors, including the sensitivity of the laboratory test, how much virus infected people are shedding, the number of infected individuals contributing to the system, and normal variability in wastewater conditions. For these reasons, wastewater monitoring is one tool among many and is interpreted alongside other community health data.</span></li><li><span style='font-size:16px;'>The role of wastewater data in shaping future community health decisions continues to evolve. This data should not be interpreted in isolation. Wastewater results are most meaningful when considered alongside other health information, such as clinical case data and community health indicators. We share this information with transparency and care. While the data reflects scientific laboratory findings, the practical interpretation of these laboratory findings is still being studied. By making this information publicly available, we aim to support awareness, research, and informed community dialogue.</span></li><li><span style='font-size:16px;'>Data are shared as the testing results become available.</span></li><li><span style='font-size:16px;'>Samples are collected 2 days per week. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up most of Collection Area 1 samples. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line. &nbsp;For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage. &nbsp; &nbsp;</span></li><li><span style='font-size:16px;'>Week start date represents the starting date of the testing week, which starts on Mondays and ends on Sundays.\u202f&nbsp;</span></li></ul><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/wastewater-biomarker' rel='nofollow ugc noopener noreferrer'><span style='font-size:18px;'><strong>Data Dictionary</strong></span></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span></p><p><strong>Source:</strong> The Translational Genomics Research Institute (TGen), part of City of Hope, is an Arizona-based, nonprofit medical research institute.</p><p><strong>Contact:</strong> &nbsp;Zoe Aiello</p><p><strong>Contact email:&nbsp;</strong> <a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></p><p><strong>Preparation Method:</strong> &nbsp;Test results are provided by TGen.&nbsp;</p><p><strong>Publish Frequency:</strong> &nbsp;Weekly or as data becomes available</p><p><strong>Publish Method:</strong> Manual&nbsp;</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::biomarker-measles-dataset","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/Biomarker_Measles_(public_view)/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=104ebcc76bff44368b6c949e15ae703e&sublayer=0","issued":"2026-02-13T22:19:14.000Z","keyword":["Arizona","BioIntel","BioIntel Program","Biomarker","Tempe","Wastewater","community health","gastrointestinal viruses","measles","public health","respiratory viruses","virus"],"landingPage":"https://data.tempe.gov/datasets/tempegov::biomarker-measles-dataset","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-08-28T23:48:28.972Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-89.0000,180.0000,89.0000","theme":["geospatial"],"title":"Biomarker Measles (Dataset)"},"description":"<p>This dataset supports the\u202f<a target='_blank' href='https://wastewater.tempe.gov/pages/biomarker-measles' rel='nofollow ugc noopener noreferrer'>Biomarker: Measles page</a> on the\u202fTempe Wastewater BioIntel Program site.</p><p>People infected with measles can shed the virus, or pieces of its genetic material. These materials enter the wastewater system through normal bodily waste. Wastewater is collected from sample sites throughout Tempe that represent collection areas. Each collection area represents a population greater than 3,000 people. &nbsp;</p><p>Wastewater collection areas are geographic regions that include the properties whose wastewater (sewage) flows past a shared sampling point on its way to a wastewater treatment plant. &nbsp;Each sample represents a mixture of wastewater from everyone connected to that part of the sewer system. &nbsp;Because the sample is a mixture of sewage that represents a population of at least 3,000 people, it is impossible to determine who or how many people may have contributed to a positive detection.</p><p>At each sampling site, wastewater is collected continuously over a 24-hour period to create a sample that reflects waste from the full day. The sample is then transported to a laboratory, where scientists prepare and analyze it to determine whether the measles genetic material can be detected.</p><p>For more information about how wastewater testing works, please visit the Tempe Wastewater BioIntel Program\u2019s <a target='_blank' href='https://wastewater.tempe.gov/pages/how-we-do-it' rel='nofollow ugc noopener noreferrer'>\u201cHow We Do It\u201d webpage</a>.&nbsp;</p><p><strong>About the data: &nbsp;</strong></p><ul><li><span style='font-size:16px;'>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It cannot identify the specific location where the virus originated. &nbsp;</span></li><li><span style='font-size:16px;'>While wastewater data can follow trends in reported infections, it cannot determine who or how many people may be sick.</span></li><li><span style='font-size:16px;'>A non-detect in wastewater does not necessarily mean measles is not present in the community. &nbsp;Wastewater data may not capture every possible source of exposure in the community as not everyone contributes to the City\u2019s wastewater system. &nbsp;For example, visitors passing through the community may not use restroom facilities while they are here, and residents who rely on septic systems are not connected to the municipal sewer system. Additionally, detections can be influenced by several factors, including the sensitivity of the laboratory test, how much virus infected people are shedding, the number of infected individuals contributing to the system, and normal variability in wastewater conditions. For these reasons, wastewater monitoring is one tool among many and is interpreted alongside other community health data.</span></li><li><span style='font-size:16px;'>The role of wastewater data in shaping future community health decisions continues to evolve. This data should not be interpreted in isolation. Wastewater results are most meaningful when considered alongside other health information, such as clinical case data and community health indicators. We share this information with transparency and care. While the data reflects scientific laboratory findings, the practical interpretation of these laboratory findings is still being studied. By making this information publicly available, we aim to support awareness, research, and informed community dialogue.</span></li><li><span style='font-size:16px;'>Data are shared as the testing results become available.</span></li><li><span style='font-size:16px;'>Samples are collected 2 days per week. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up most of Collection Area 1 samples. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line. &nbsp;For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage. &nbsp; &nbsp;</span></li><li><span style='font-size:16px;'>Week start date represents the starting date of the testing week, which starts on Mondays and ends on Sundays.\u202f&nbsp;</span></li></ul><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/wastewater-biomarker' rel='nofollow ugc noopener noreferrer'><span style='font-size:18px;'><strong>Data Dictionary</strong></span></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span></p><p><strong>Source:</strong> The Translational Genomics Research Institute (TGen), part of City of Hope, is an Arizona-based, nonprofit medical research institute.</p><p><strong>Contact:</strong> &nbsp;Zoe Aiello</p><p><strong>Contact email:&nbsp;</strong> <a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></p><p><strong>Preparation Method:</strong> &nbsp;Test results are provided by TGen.&nbsp;</p><p><strong>Publish Frequency:</strong> &nbsp;Weekly or as data becomes available</p><p><strong>Publish Method:</strong> Manual&nbsp;</p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/d9d3d233-7993-4c9b-821d-cf8e4f235727","harvest_record_raw":"https://catalog.data.gov/harvest_record/d9d3d233-7993-4c9b-821d-cf8e4f235727/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=104ebcc76bff44368b6c949e15ae703e&sublayer=0","keyword":["Arizona","BioIntel","BioIntel Program","Biomarker","Tempe","Wastewater","community health","gastrointestinal viruses","measles","public health","respiratory viruses","virus"],"last_harvested_date":"2026-09-02T19:20:35.420721","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":1,"publisher":"City of Tempe","slug":"biomarker-measles-dataset","spatial_centroid":{"lat":-17.8,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-89.0],[-180.0,89.0],[180.0,89.0],[180.0,-89.0],[-180.0,-89.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Biomarker Measles (Dataset)","type":"dataset"},{"_score":12.9046135,"_sort":[1788376771176,12.9046135,0,"b91b9c61-15ec-4a12-aa24-475fee8615b6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"irregular","bureauCode":["006:55"],"contactPoint":{"fn":"Thomas P. Forbes","hasEmail":"mailto:thomas.forbes@nist.gov"},"description":"This data publication contains the extracted mass spectra and derived data (e.g., extracted ion chronogram peak areas) for illicit drug and mixture samples. These samples were analyzed direct analysis in real time (DART) ionization with a benchtop triple quadrupole (TQ) mass spectrometer. Related measurements and data were also gathered on a laboratory time-of-flight (TOF) mass spectrometer. Samples include a range of single-component drugs (e.g., Fentanyl, Xylazine, Cocaine, Heroin, etc.), a 15-component drug mixture, and samples collected from used drug paraphernalia at harm reduction sites.\n\n*Any mention of commercial products is for information only; it does not imply recommendation or endorsement by NIST.","distribution":[{"description":"Details of dataset","downloadURL":"https://data.nist.gov/od/ds/mds2-4066/readme.txt","mediaType":"text/plain","title":"readme"},{"description":"TQ-MS and TOF-MS mass spectra and derived data (peak areas) for system characterization and drug identification studies","downloadURL":"https://data.nist.gov/od/ds/mds2-4066/TQ-MS_DrugAnalysis%20NIST%20Data%20Publication.zip","mediaType":"application/x-zip-compressed","title":"TQ-MS Drug Identification NIST Data Publication"},{"downloadURL":"https://data.nist.gov/od/ds/mds2-4066/TQ-MS_DrugAnalysis%20NIST%20Data%20Publication.zip","mediaType":"application/x-zip-compressed","title":"TQ-MS_DrugAnalysis NIST Data Publication"},{"downloadURL":"https://data.nist.gov/od/ds/mds2-4066/readme.txt","mediaType":"text/plain","title":"readme"}],"identifier":"ark:/88434/mds2-4066","issued":"2026-02-11","keyword":["Mass spectrometry; triple quadrupole; time-of-flight; fieldable; transportable; drugs; narcotics; forensics; public health;"],"landingPage":"https://data.nist.gov/od/id/mds2-4066","language":["en"],"license":"https://www.nist.gov/open/license","modified":"2026-01-16 00:00:00","programCode":["006:045"],"publisher":{"@type":"org:Organization","name":"National Institute of Standards and Technology"},"theme":["Chemistry:Analytical chemistry","Chemistry:Molecular characterization","Forensics","Forensics:Drugs and toxicology","Public Safety","Public Safety:First responder preparedness","Public Safety:Law enforcement"],"title":"Chromatography-free triple quadrupole and time-of-flight mass spectrometry data for system characterization and exploring illicit drug identification"},"description":"This data publication contains the extracted mass spectra and derived data (e.g., extracted ion chronogram peak areas) for illicit drug and mixture samples. 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Goldfain, Grace E. Waters, Lynn Davis, Heather J. Patrick, and Thomas A. Germer, \"Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module,\" Applied Optics 63, 7715-7725 (2024). https://doi.org/10.1364/AO.527427 . The figures in the paper show a subset of the data included in this archive.\n\nThis archive contains the measured BRDF of materials commonly found in public spaces where UV disinfection may be used. The BRDF is measured at wavelengths of 222 nm, 255 nm, and 280 nm.  The 8 samples measured are an acrylonitrile butadiene styrene (ABS) plastic panel, a vinyl sheet, a polypropylene sheet, an extruded steel sheet, an extruded aluminum sheet, a silver-coated reflector, a glossy white ceramic tile, and a glossy grey ceramic tile. 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These data are stored in a format adhering to the Database Infrastructure for Mass Spectrometry (DIMSpec) project. That project produces and uses databases like this one, providing a complete toolkit for non-targeted analysis. 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SUMMARY</strong>\nList of public works construction projects that the City Administrator has designated as serving an Essential Government Function. This designation allows a public works project to continue, provided that it has a Site-Specific Health and Safety Plan, Code of Safe Practices and posts a Social Distancing Protocol onsite.\n \n<strong>B. HOW THE DATASET IS CREATED</strong>\nCity departments and other government agencies submit projects to the City Administrator. In consultation with the Health Officer, the City Administrator determines whether it meets an Essential Government Function. Only the projects that meet that test are listed here.\n \n<strong>C. UPDATE PROCESS</strong>\nUpdated as required, dataset uploaded manually by staff.\n \n<strong>D. 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The dataset was prepared as part of the SF Indicators project and covers from 2004 through 2009. http://www.sfindicatorproject.org/indicators/view/49","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/wytw-dqq4/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/wytw-dqq4/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/wytw-dqq4/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/wytw-dqq4/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/wytw-dqq4/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/wytw-dqq4/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/wytw-dqq4/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/wytw-dqq4/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/wytw-dqq4","issued":"2016-09-14","keyword":["cars","collisions","department of public health","dph","environmental health","hdmt","healthy development measurement tool","motor vehicles","phes","safety","san francisco","sci","sfdph","sfmta","sfphes","speed limit","sustainable communities index","transportation"],"landingPage":"https://data.sf.gov/d/wytw-dqq4","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-03-13","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Public Safety"],"title":"San Francisco Speed Limit Compliance"},"description":"Statistics on speeding rates and exceedance of speed limit along selected street segments throughout San Francisco. The dataset was prepared as part of the SF Indicators project and covers from 2004 through 2009. http://www.sfindicatorproject.org/indicators/view/49","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/354f36bc-59e3-41c6-b51f-4d57afdae50b","harvest_record_raw":"https://catalog.data.gov/harvest_record/354f36bc-59e3-41c6-b51f-4d57afdae50b/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/wytw-dqq4","keyword":["cars","collisions","department of public health","dph","environmental health","hdmt","healthy development measurement tool","motor vehicles","phes","safety","san francisco","sci","sfdph","sfmta","sfphes","speed limit","sustainable communities index","transportation"],"last_harvested_date":"2026-09-02T18:56:42.745265","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":3,"publisher":"data.sf.gov","slug":"san-francisco-speed-limit-compliance","spatial_centroid":null,"spatial_shape":null,"theme":["Public Safety"],"title":"San Francisco Speed Limit Compliance","type":"dataset"},{"_score":3.1520433,"_sort":[1788375400453,3.1520433,0,"2bc22ab0-3062-44c3-8e23-434aeab29d9d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nSource of data for the Shelter Reservation Waitlist. Please view the below website for more information on the shelter reservation system:\n-  <u><a href=\"https://hsh.sfgov.org/services/how-to-get-services/accessing-temporary-shelter/adult-temporary-shelter/shelter-reservation-waitlist/\">Shelter Reservation Website</a></u>\n\nFor more information on Housing Assistance, please view the website below:\n-   <u><a href=\"https://hsh.sfgov.org/services/how-to-get-services/referrals-and-housing-assistance/\">Referrals and Housing Assistance</a></u>\n\n<strong>B. HOW TO USE THIS DATASET</strong>\nYour waitlist ID is your eight-digit birthdate (MMDDYYYY) and your initials. For example, if your name is Michael Jackson and you were born on August 29, 1958, your waitlist ID is 08291958MJ.\n\nIt may take 24 hours for your name to show up on the list after you register.\n\nIf you are at the top of the waitlist there will be a note in the row with your Waitlist ID. Since some beds are gender-specific, it might be your turn even if your name does not appear in the first few rows. Make sure you search your waitlist ID to see if there are instructions to call in. Learn how to claim your bed on the FAQs page.\n\nIf you haven\u2019t already registered, get instructions about how to sign up online or by phone. You can only have one entry in the waitlist at one time.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/w4sk-nq57/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/w4sk-nq57/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/w4sk-nq57/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/w4sk-nq57/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/w4sk-nq57/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/w4sk-nq57","issued":"2024-02-23","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/w4sk-nq57","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-01","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"HSH Shelter Waitlist"},"description":"<strong>A. SUMMARY</strong>\nSource of data for the Shelter Reservation Waitlist. Please view the below website for more information on the shelter reservation system:\n-  <u><a href=\"https://hsh.sfgov.org/services/how-to-get-services/accessing-temporary-shelter/adult-temporary-shelter/shelter-reservation-waitlist/\">Shelter Reservation Website</a></u>\n\nFor more information on Housing Assistance, please view the website below:\n-   <u><a href=\"https://hsh.sfgov.org/services/how-to-get-services/referrals-and-housing-assistance/\">Referrals and Housing Assistance</a></u>\n\n<strong>B. HOW TO USE THIS DATASET</strong>\nYour waitlist ID is your eight-digit birthdate (MMDDYYYY) and your initials. For example, if your name is Michael Jackson and you were born on August 29, 1958, your waitlist ID is 08291958MJ.\n\nIt may take 24 hours for your name to show up on the list after you register.\n\nIf you are at the top of the waitlist there will be a note in the row with your Waitlist ID. Since some beds are gender-specific, it might be your turn even if your name does not appear in the first few rows. Make sure you search your waitlist ID to see if there are instructions to call in. Learn how to claim your bed on the FAQs page.\n\nIf you haven\u2019t already registered, get instructions about how to sign up online or by phone. You can only have one entry in the waitlist at one time.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/d7b7582b-32d7-4f10-9778-a06d7ad4824b","harvest_record_raw":"https://catalog.data.gov/harvest_record/d7b7582b-32d7-4f10-9778-a06d7ad4824b/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/w4sk-nq57","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:40.453736","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"hsh-shelter-waitlist","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"HSH Shelter Waitlist","type":"dataset"},{"_score":15.804064,"_sort":[1788375400088,15.804064,1,"e4ebf73a-52e7-4d73-b7e7-c27d4ba9324b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"The San Francisco Healthy Nail Salon Program is a free and voluntary program open to all nail salons in the City. The goal of the Healthy Nail Salon Program is to reduce exposure of nail salon employees and residents to the toxic chemicals in nail products. The benefits of the Healthy Nail Salon Program include: \r\n\r\n- Enhanced health and well being of staff \r\n- Safer environment for customers\r\n- Recognition and promotion by San Francisco\u2019s Department of Environment \r\n- Potential to attract new customers \r\n\r\nThe data set is a list of all certified Healthy Nail Salons recognized by San Francisco Department of the Environment.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vwjj-xa8f/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vwjj-xa8f/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vwjj-xa8f/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vwjj-xa8f/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vwjj-xa8f/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vwjj-xa8f/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vwjj-xa8f/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vwjj-xa8f/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/vwjj-xa8f","issued":"2020-10-02","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/vwjj-xa8f","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-03-13","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"Recognized Healthy Nail Salons in San Francisco"},"description":"The San Francisco Healthy Nail Salon Program is a free and voluntary program open to all nail salons in the City. The goal of the Healthy Nail Salon Program is to reduce exposure of nail salon employees and residents to the toxic chemicals in nail products. The benefits of the Healthy Nail Salon Program include: \r\n\r\n- Enhanced health and well being of staff \r\n- Safer environment for customers\r\n- Recognition and promotion by San Francisco\u2019s Department of Environment \r\n- Potential to attract new customers \r\n\r\nThe data set is a list of all certified Healthy Nail Salons recognized by San Francisco Department of the Environment.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/832ba527-5cf0-4ccf-b6a8-71f25318ad90","harvest_record_raw":"https://catalog.data.gov/harvest_record/832ba527-5cf0-4ccf-b6a8-71f25318ad90/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/vwjj-xa8f","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:40.088219","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"recognized-healthy-nail-salons-in-san-francisco","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"Recognized Healthy Nail Salons in San Francisco","type":"dataset"},{"_score":13.025153,"_sort":[1788375399586,13.025153,0,"52e706f6-a6f2-4e64-862a-28a705db307f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"mikewynne","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"This is the plant list used by the SF Plant Finder (https://sfplanninggis.org/plantsf/).  \n\nThe San Francisco Plant Finder is a resource for gardeners, designers, ecologists and anyone who is interested in greening neighborhoods, enhancing our urban ecology and surviving the drought. The Plant Finder recommends appropriate habitat-building plants for sidewalks, gardens and roofs that are adapted to San Francisco's unique environment and climate.\n\nThe plants in the database include California natives and Mediterranean climate exotics. A large subset of the California natives are actually local San Francisco natives. We strongly recommend local natives since they provide the best habitat for local pollinators and other wildlife with whom they have co-evolved. San Francisco natives are the most closely adapted to the climate and environment of the San Francisco peninsula of course, and so they are the best in terms of water and soil conservation, ecosystem health, and overall sustainability.\n\nThe geographic boundaries for plant communities used in SF Plant Finder are here: https://data.sfgov.org/d/27u4-a5b3","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vmnk-skih/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vmnk-skih/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vmnk-skih/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vmnk-skih/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vmnk-skih/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/vmnk-skih","issued":"2025-07-10","keyword":["environment","green connections","planning","plant","plantfinder","plants","sf plant finder"],"landingPage":"https://data.sf.gov/d/vmnk-skih","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-07-10","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"San Francisco Plant Finder Data"},"description":"This is the plant list used by the SF Plant Finder (https://sfplanninggis.org/plantsf/).  \n\nThe San Francisco Plant Finder is a resource for gardeners, designers, ecologists and anyone who is interested in greening neighborhoods, enhancing our urban ecology and surviving the drought. The Plant Finder recommends appropriate habitat-building plants for sidewalks, gardens and roofs that are adapted to San Francisco's unique environment and climate.\n\nThe plants in the database include California natives and Mediterranean climate exotics. A large subset of the California natives are actually local San Francisco natives. We strongly recommend local natives since they provide the best habitat for local pollinators and other wildlife with whom they have co-evolved. San Francisco natives are the most closely adapted to the climate and environment of the San Francisco peninsula of course, and so they are the best in terms of water and soil conservation, ecosystem health, and overall sustainability.\n\nThe geographic boundaries for plant communities used in SF Plant Finder are here: https://data.sfgov.org/d/27u4-a5b3","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1aa0febb-120d-4928-bf02-f70ef3e232b3","harvest_record_raw":"https://catalog.data.gov/harvest_record/1aa0febb-120d-4928-bf02-f70ef3e232b3/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/vmnk-skih","keyword":["environment","green connections","planning","plant","plantfinder","plants","sf plant finder"],"last_harvested_date":"2026-09-02T18:56:39.586390","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"san-francisco-plant-finder-data","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"San Francisco Plant Finder Data","type":"dataset"},{"_score":13.454426,"_sort":[1788375399465,13.454426,2,"4c7837f1-1db0-45e1-8780-21162a369d05"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset represents probable or confirmed mpox cases among San Francisco residents. Cases are included by the episode date, defined as either the date when self-reported symptoms began or, if that date is not available, the date the positive test was collected (i.e., specimen collection date). \n\nData are lagged by 5 days, meaning that the most recent date of self-reported symptom or specimen collection included is 1 day prior to today. All data update daily as more information becomes available. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCase information is based on confirmed or probable positive laboratory tests reported to the San Francisco Department of Public Health. Processes to provide quality assurance and other data verification are completed before the data are reported. \n\nThis data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. \n\nData are continually updated to maximize completeness of information and reporting on San Francisco residents with confirmed or probable mpox.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates to the data are made through automated and manual processes once each day, Monday through Friday.  \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset shows new cases and cumulative cases (probable and confirmed) by episode date. Episode date is the date of self-reported symptom onset, or, if not available, date of specimen collection (i.e., the date the person was tested). \n\nNew cases are the count of cases with a symptom onset or specimen collection date on the given episode date. Cumulative cases are the running total of all San Francisco cases through the episode date listed.\n\n<strong>D. CHANGE LOG</strong>\n6/15/2023 - added \"data_updated_at\" column to reference the last date the data was compiled by scripts.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vi7r-brsi/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vi7r-brsi/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vi7r-brsi/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vi7r-brsi/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vi7r-brsi/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/vi7r-brsi","issued":"2023-06-15","keyword":["monkeypox"],"landingPage":"https://data.sf.gov/d/vi7r-brsi","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Mpox Cases Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis dataset represents probable or confirmed mpox cases among San Francisco residents. Cases are included by the episode date, defined as either the date when self-reported symptoms began or, if that date is not available, the date the positive test was collected (i.e., specimen collection date). \n\nData are lagged by 5 days, meaning that the most recent date of self-reported symptom or specimen collection included is 1 day prior to today. All data update daily as more information becomes available. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCase information is based on confirmed or probable positive laboratory tests reported to the San Francisco Department of Public Health. Processes to provide quality assurance and other data verification are completed before the data are reported. \n\nThis data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. \n\nData are continually updated to maximize completeness of information and reporting on San Francisco residents with confirmed or probable mpox.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates to the data are made through automated and manual processes once each day, Monday through Friday.  \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset shows new cases and cumulative cases (probable and confirmed) by episode date. Episode date is the date of self-reported symptom onset, or, if not available, date of specimen collection (i.e., the date the person was tested). \n\nNew cases are the count of cases with a symptom onset or specimen collection date on the given episode date. Cumulative cases are the running total of all San Francisco cases through the episode date listed.\n\n<strong>D. CHANGE LOG</strong>\n6/15/2023 - added \"data_updated_at\" column to reference the last date the data was compiled by scripts.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/ada5e4d3-6187-4496-8c9a-374b1d76613f","harvest_record_raw":"https://catalog.data.gov/harvest_record/ada5e4d3-6187-4496-8c9a-374b1d76613f/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/vi7r-brsi","keyword":["monkeypox"],"last_harvested_date":"2026-09-02T18:56:39.465584","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":2,"publisher":"data.sf.gov","slug":"mpox-cases-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Mpox Cases Over Time","type":"dataset"},{"_score":13.523533,"_sort":[1788375398889,13.523533,4,"374f22e6-71ff-41c8-ad59-226d7c041e6e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThe Municipal Natural Gas Equipment Inventory serves to catalog natural gas-fueled equipment used in municipally owned buildings. \nThis inventory, implemented by the SF Environment Department, aims to establish an understanding of the scope of work needed to electrify municipal buildings and inform an effective and collaborative planning process.\nThis effort was identified as an action in Section BO-2.4 of the  <u><a href=\"https://www.sfenvironment.org/files/events/2021_climate_action_plan.pdf\">2021 Climate Action Plan</a></u> and is included in the <u><a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-577\">Environment Code Chapter 7</a></u> (Municipal Green Building Requirements). \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. Numerous municipal buildings are exempt from these reporting requirements, including facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities. \nEach department received an inventory template, provided by the Environment Department, to submit high level building data and detailed information on each piece of natural gas equipment in use in these buildings. Departments were asked to self-report the required building and equipment data over the course of a 6-month data collection period in 2023 and are asked to keep this inventory up to date in the following years as equipment is replaced. \n\n<strong>C. UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nIt is important to note that this dataset does not include facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities, in accordance with Environment Code Chapter 7 exemptions.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vc6r-v7av/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vc6r-v7av/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/vc6r-v7av","issued":"2024-03-28","keyword":["environment","environmental health","greenhouse gas emissions","natural gas"],"landingPage":"https://data.sf.gov/d/vc6r-v7av","modified":"2026-08-28","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"San Francisco Municipal Natural Gas Equipment Inventory"},"description":"<strong>A. 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HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. 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UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nIt is important to note that this dataset does not include facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities, in accordance with Environment Code Chapter 7 exemptions.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/6bc8420b-1643-4be1-b0ee-0dd225c00c2f","harvest_record_raw":"https://catalog.data.gov/harvest_record/6bc8420b-1643-4be1-b0ee-0dd225c00c2f/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/vc6r-v7av","keyword":["environment","environmental health","greenhouse gas emissions","natural gas"],"last_harvested_date":"2026-09-02T18:56:38.889822","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":4,"publisher":"data.sf.gov","slug":"san-francisco-municipal-natural-gas-equipment-inventory","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"San Francisco Municipal Natural Gas Equipment Inventory","type":"dataset"},{"_score":20.776318,"_sort":[1788375398528,20.776318,0,"c3fbbc59-9995-4c16-9025-36785ce5b8e9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"Projects that are located on sites with known or suspected soil and/or groundwater contamination are subject to the provisions of Health Code Article 22A, which is administered by the Department of Public Health (DPH). 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Both agencies participate in sample collection; the San Francisco Water, Power and Sewer Microbiology Laboratory performs bacteriological analyses.\n\nMore information: \nhttps://sfwater.org/index.aspx?page=87\nhttps://sfwater.org/sapps/beachesandbay.html","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/v3fv-x3ux/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/v3fv-x3ux/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/v3fv-x3ux/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/v3fv-x3ux/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/v3fv-x3ux/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/v3fv-x3ux","issued":"2024-04-25","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/v3fv-x3ux","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"Beach Water Quality Monitoring"},"description":"Working with the San Francisco Department of Public Health (SFDPH), we jointly administer the beach water quality monitoring program in San Francisco. Both agencies participate in sample collection; the San Francisco Water, Power and Sewer Microbiology Laboratory performs bacteriological analyses.\n\nMore information: \nhttps://sfwater.org/index.aspx?page=87\nhttps://sfwater.org/sapps/beachesandbay.html","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1eb71a04-fb53-4f11-8e8d-3933df65bd02","harvest_record_raw":"https://catalog.data.gov/harvest_record/1eb71a04-fb53-4f11-8e8d-3933df65bd02/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/v3fv-x3ux","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:38.182973","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":3,"publisher":"data.sf.gov","slug":"beach-water-quality-monitoring","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"Beach Water Quality Monitoring","type":"dataset"},{"_score":6.083626,"_sort":[1788375395678,6.083626,5,"a3680e10-8cc8-490d-bb73-46d2e825cb13"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong><em>Redirect Notice: The website https://transbase.sfgov.org/ is no longer in operation. Visitors to Transbase will be redirected to this page where they can view, visualize, and download Traffic Crash data.</em></strong>\n\n<strong>A. SUMMARY</strong>\nThis table contains all crashes resulting in an injury in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD\u2019s Interim Collision System for 2018 through the current year-to-date, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded.\n\nThe crash, party, and victim tables have a relational structure. The traffic crashes table contains information on each crash, one record per crash. The party table contains information from all parties involved in the crashes, one record per party. Parties are individuals involved in a traffic crash including drivers, pedestrians, bicyclists, and parked vehicles. The victim table contains information about each party injured in the collision, including any passengers. Injury severity is included in the victim table. \n\nFor example, a crash occurs (1 record in the crash table) that involves a driver party and a pedestrian party (2 records in the party table). Only the pedestrian is injured and thus is the only victim (1 record in the victim table). \n\nTo learn more about the traffic injury datasets, see the <u><a href=\"https://tims.berkeley.edu/help/SWITRS.php\">TIMS documentation</a></u>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nTraffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE. \n\n<strong>C. UPDATE PROCESS</strong>\nAfter review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4). \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge TransBASE.sfgov.org as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representat","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubvf-ztfx/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/ubvf-ztfx/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubvf-ztfx/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/ubvf-ztfx/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubvf-ztfx/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubvf-ztfx/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubvf-ztfx/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubvf-ztfx/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/ubvf-ztfx","issued":"2024-07-01","keyword":["street safety directive","traffic crashes","vision zero"],"landingPage":"https://data.sf.gov/d/ubvf-ztfx","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-07-27","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Public Safety"],"title":"Traffic Crashes Resulting in Injury"},"description":"<strong><em>Redirect Notice: The website https://transbase.sfgov.org/ is no longer in operation. Visitors to Transbase will be redirected to this page where they can view, visualize, and download Traffic Crash data.</em></strong>\n\n<strong>A. SUMMARY</strong>\nThis table contains all crashes resulting in an injury in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD\u2019s Interim Collision System for 2018 through the current year-to-date, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded.\n\nThe crash, party, and victim tables have a relational structure. The traffic crashes table contains information on each crash, one record per crash. The party table contains information from all parties involved in the crashes, one record per party. Parties are individuals involved in a traffic crash including drivers, pedestrians, bicyclists, and parked vehicles. The victim table contains information about each party injured in the collision, including any passengers. Injury severity is included in the victim table. \n\nFor example, a crash occurs (1 record in the crash table) that involves a driver party and a pedestrian party (2 records in the party table). Only the pedestrian is injured and thus is the only victim (1 record in the victim table). \n\nTo learn more about the traffic injury datasets, see the <u><a href=\"https://tims.berkeley.edu/help/SWITRS.php\">TIMS documentation</a></u>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nTraffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE. \n\n<strong>C. UPDATE PROCESS</strong>\nAfter review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4). \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge TransBASE.sfgov.org as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representat","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/96800755-c61c-4071-805d-26eb86016fb7","harvest_record_raw":"https://catalog.data.gov/harvest_record/96800755-c61c-4071-805d-26eb86016fb7/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ubvf-ztfx","keyword":["street safety directive","traffic crashes","vision zero"],"last_harvested_date":"2026-09-02T18:56:35.678941","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":5,"publisher":"data.sf.gov","slug":"traffic-crashes-resulting-in-injury","spatial_centroid":null,"spatial_shape":null,"theme":["Public Safety"],"title":"Traffic Crashes Resulting in Injury","type":"dataset"},{"_score":3.2029133,"_sort":[1788375395460,3.2029133,3,"754ec41d-cea8-4fba-a264-20ce97f6918d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<b><i>Note: This dataset was updated daily from June 2020 until June 2021 as part of San Francisco's COVID-19 Emergency Response. It remains available to the public as a historical reference.</b></i>\n\n<strong>A. SUMMARY</strong>\nThis dataset is meant to serve as an official record of the Healthy Streets Operations Center's (HSOC) daily tent counts within the Tenderloin neighborhood. These counts track the City's progress towards fulfilling its commitment to reduce tents in the Tenderloin by 70% of the number observed during a tent count conducted on June 5th. HSOC began operations to move unsheltered individuals into Shelter-in-Place (SIP) hotel rooms on June 10th.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nUrban Alchemy, a community organization under contract with the Department of Public Works, takes a daily census of tents within the Tenderloin neighborhood. This data is then validated and processed by City staff and presented here. \n\n<strong>C. UPDATE PROCESS</strong>\nUpdated daily.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset can be used to monitor the number of tents in the Tenderloin and track progress of efforts to ensure that all residents have a safer place to sleep (like safe sleeping villages, hotels, and other shelters).\n\nSee more data on the Tenderloin COVID Response Plan here: https://data.sfgov.org/stories/s/Tenderloin-Plan-Data-and-Reporting/sc96-u6ry/","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubjr-y9qw/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/ubjr-y9qw/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubjr-y9qw/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/ubjr-y9qw/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubjr-y9qw/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/ubjr-y9qw","issued":"2020-07-01","keyword":["encampment","homeless","homeless count","homelessness","safe sleeping","tenderloin","tenderloin-soma","tent","tent count"],"landingPage":"https://data.sf.gov/d/ubjr-y9qw","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-08-25","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: Tenderloin Tent Count"},"description":"<b><i>Note: This dataset was updated daily from June 2020 until June 2021 as part of San Francisco's COVID-19 Emergency Response. It remains available to the public as a historical reference.</b></i>\n\n<strong>A. SUMMARY</strong>\nThis dataset is meant to serve as an official record of the Healthy Streets Operations Center's (HSOC) daily tent counts within the Tenderloin neighborhood. These counts track the City's progress towards fulfilling its commitment to reduce tents in the Tenderloin by 70% of the number observed during a tent count conducted on June 5th. HSOC began operations to move unsheltered individuals into Shelter-in-Place (SIP) hotel rooms on June 10th.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nUrban Alchemy, a community organization under contract with the Department of Public Works, takes a daily census of tents within the Tenderloin neighborhood. This data is then validated and processed by City staff and presented here. \n\n<strong>C. UPDATE PROCESS</strong>\nUpdated daily.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset can be used to monitor the number of tents in the Tenderloin and track progress of efforts to ensure that all residents have a safer place to sleep (like safe sleeping villages, hotels, and other shelters).\n\nSee more data on the Tenderloin COVID Response Plan here: https://data.sfgov.org/stories/s/Tenderloin-Plan-Data-and-Reporting/sc96-u6ry/","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/fd16d77c-5419-49f9-99ff-726175180ff7","harvest_record_raw":"https://catalog.data.gov/harvest_record/fd16d77c-5419-49f9-99ff-726175180ff7/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ubjr-y9qw","keyword":["encampment","homeless","homeless count","homelessness","safe sleeping","tenderloin","tenderloin-soma","tent","tent count"],"last_harvested_date":"2026-09-02T18:56:35.460203","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":3,"publisher":"data.sf.gov","slug":"archived-tenderloin-tent-count","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: Tenderloin Tent Count","type":"dataset"},{"_score":56.180557,"_sort":[1788375395196,56.180557,1,"ae4c2817-0e6e-4f7a-916f-9484b62625af"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management. \n\nThis dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset. \n\nFinally, this dataset includes the number of clients on medications for opioid use disorder (MOUD). \n\nThe number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset. \n\nThe number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded.  \n\nPeople may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder. \n\nFor more information on where to find treatment in San Francisco, visit <u><a href= \"https://findtreatment-sf.org/\">findtreatment-sf.org</a></u>.\u202f \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThis dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention. \n\n<strong>C. UPDATE PROCESS</strong> \nResidential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay. \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nThroughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not accurately project year-end totals.  \n\n<strong>E. RELATED DATASETS</strong> \n<u><a href=\"https://data.sfgov.org/d/ed3a-sn39\">Overdose-Related 911 Responses by Emergency Medical Services</a></u> \n<u><a href=\"https://data.sfgov.org/d/k4g8-b3sf\">Unintentional Overdose Death Rates by Race/Ethnicity</a></u> \n<u><a href=\"https://data.sfgov.org/d/jxrr-bmra\">Preliminary Unintentional Drug Overdose Deaths</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubf6-e57x/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/ubf6-e57x/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubf6-e57x/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/ubf6-e57x/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubf6-e57x/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/ubf6-e57x","issued":"2023-09-13","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/ubf6-e57x","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-08-20","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"San Francisco Department of Public Health Substance Use Services"},"description":"<strong>A. SUMMARY</strong> \nThis dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management. \n\nThis dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset. \n\nFinally, this dataset includes the number of clients on medications for opioid use disorder (MOUD). \n\nThe number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset. \n\nThe number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded.  \n\nPeople may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder. \n\nFor more information on where to find treatment in San Francisco, visit <u><a href= \"https://findtreatment-sf.org/\">findtreatment-sf.org</a></u>.\u202f \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThis dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention. \n\n<strong>C. UPDATE PROCESS</strong> \nResidential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay. \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nThroughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not accurately project year-end totals.  \n\n<strong>E. RELATED DATASETS</strong> \n<u><a href=\"https://data.sfgov.org/d/ed3a-sn39\">Overdose-Related 911 Responses by Emergency Medical Services</a></u> \n<u><a href=\"https://data.sfgov.org/d/k4g8-b3sf\">Unintentional Overdose Death Rates by Race/Ethnicity</a></u> \n<u><a href=\"https://data.sfgov.org/d/jxrr-bmra\">Preliminary Unintentional Drug Overdose Deaths</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/38d41e14-d013-407f-acef-83afeb34c30d","harvest_record_raw":"https://catalog.data.gov/harvest_record/38d41e14-d013-407f-acef-83afeb34c30d/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ubf6-e57x","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:35.196948","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"san-francisco-department-of-public-health-substance-use-services","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"San Francisco Department of Public Health Substance Use Services","type":"dataset"},{"_score":65.91961,"_sort":[1788375393895,65.91961,5,"2476dee5-9cb1-40e5-85b0-e67d20dd1df0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>SUMMARY</strong>\nThis dataset contains the results of health inspections conducted by the Department of Public Health from 2024 to Present. It includes the name and location of each facility inspected, the facility status (Pass, Conditional Pass, or Closure) after the inspection, and violations observed. \n\n<strong>HOW THIS DATASET IS CREATED</strong> \nAfter inspecting a facility, a Health Inspector assigns a facility status based on observed violations and health risk.\n\n<strong>UPDATE PROCESS</strong>\nThis dataset will be updated monthly.\n\n<strong>RELATED DATASETS</strong>\n<li><u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2024-Present)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/5tti-66ds\">Health Inspections (2020-2023)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/pyih-qa8i\">Health Inspections (2016-2019)</a></u>\n<li><u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">Inspection lookup tool</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/tvy3-wexg/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/tvy3-wexg/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/tvy3-wexg","issued":"2025-07-01","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/tvy3-wexg","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Health Inspection Scores (2024-Present)"},"description":"<strong>SUMMARY</strong>\nThis dataset contains the results of health inspections conducted by the Department of Public Health from 2024 to Present. It includes the name and location of each facility inspected, the facility status (Pass, Conditional Pass, or Closure) after the inspection, and violations observed. \n\n<strong>HOW THIS DATASET IS CREATED</strong> \nAfter inspecting a facility, a Health Inspector assigns a facility status based on observed violations and health risk.\n\n<strong>UPDATE PROCESS</strong>\nThis dataset will be updated monthly.\n\n<strong>RELATED DATASETS</strong>\n<li><u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2024-Present)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/5tti-66ds\">Health Inspections (2020-2023)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/pyih-qa8i\">Health Inspections (2016-2019)</a></u>\n<li><u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">Inspection lookup tool</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/691997ea-5023-4c1f-a844-73fd9949805d","harvest_record_raw":"https://catalog.data.gov/harvest_record/691997ea-5023-4c1f-a844-73fd9949805d/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/tvy3-wexg","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:33.895138","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":5,"publisher":"data.sf.gov","slug":"health-inspection-scores-2024-present","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Health Inspection Scores (2024-Present)","type":"dataset"},{"_score":6.2066956,"_sort":[1788375393429,6.2066956,0,"eaff12df-951d-44c9-bab6-2e92a08da7d7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nMedical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2016-2020 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.\n\nOn September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021.\n\nCases and deaths are both mapped to the residence of the individual, not to where they were infected or died. For example, if one was infected in San Francisco at work but lives in the East Bay, those are not counted as SF Cases or if one dies in Zuckerberg San Francisco General but is from another county, that is also not counted in this dataset.\n\nDataset is cumulative and covers cases going back to 3/2/2020 when testing began. \n\nGeographic areas summarized are:\n1. <a href=\"https://data.sfgov.org/Geographic-Locations-and-Boundaries/Analysis-Neighborhoods-2020-census-tracts-assigned/sevw-6tgi\">Analysis Neighborhoods</a>\n2. <a href=\"https://data.sfgov.org/Geographic-Locations-and-Boundaries/Census-2020-Tracts-for-San-Francisco/tmph-tgz9\">Census Tracts</a>\n3. <a href=\"https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html\">Census Zip Code Tabulation Areas</a>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAddresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a rate which is equal to <i>([count] / [acs_population]) * 10000)</i> representing the number of cases per 10,000 residents.\n\n<strong>C. UPDATE PROCESS</strong>\nGeographic analysis is scripted by SFDPH staff and synced to this dataset daily at 7:30 Pacific Time. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nSan Francisco population estimates for geographic regions can be found in a <a href=\"https://data.sfgov.org/d/35v5-seg9\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).\n\n<em>Privacy rules in effect</em>\nTo protect privacy, certain rules are in effect:\n1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values\n2. Death counts greater than 0 and less than 10 are dropped - these will be null (blank) values\n3. Cases and deaths dropped altogether for areas where acs_population < 1000\n\n<em>Rate suppression in effect where counts lower than 20</em>\nRates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.\n\n<em>A note on Census ZIP Code Tabulation Areas (ZCTAs)</em>\nZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. <a href=\"https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html\">Read how the Census develops ZCTAs on their website</a>.\n\n<em>Row included for Citywide case counts, incidence rate, and deaths</em>\nA single row is included that has the Citywide case counts and incidence rate. This can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongo","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/tpyr-dvnc/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/tpyr-dvnc/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/tpyr-dvnc/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/tpyr-dvnc/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tpyr-dvnc/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tpyr-dvnc/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tpyr-dvnc/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tpyr-dvnc/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/tpyr-dvnc","issued":"2023-01-31","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/tpyr-dvnc","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-03-13","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["COVID-19"],"title":"ARCHIVED: COVID-19 Cases and Deaths Summarized by Geography"},"description":"<strong>A. SUMMARY</strong>\nMedical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2016-2020 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.\n\nOn September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021.\n\nCases and deaths are both mapped to the residence of the individual, not to where they were infected or died. For example, if one was infected in San Francisco at work but lives in the East Bay, those are not counted as SF Cases or if one dies in Zuckerberg San Francisco General but is from another county, that is also not counted in this dataset.\n\nDataset is cumulative and covers cases going back to 3/2/2020 when testing began. \n\nGeographic areas summarized are:\n1. <a href=\"https://data.sfgov.org/Geographic-Locations-and-Boundaries/Analysis-Neighborhoods-2020-census-tracts-assigned/sevw-6tgi\">Analysis Neighborhoods</a>\n2. <a href=\"https://data.sfgov.org/Geographic-Locations-and-Boundaries/Census-2020-Tracts-for-San-Francisco/tmph-tgz9\">Census Tracts</a>\n3. <a href=\"https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html\">Census Zip Code Tabulation Areas</a>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAddresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a rate which is equal to <i>([count] / [acs_population]) * 10000)</i> representing the number of cases per 10,000 residents.\n\n<strong>C. UPDATE PROCESS</strong>\nGeographic analysis is scripted by SFDPH staff and synced to this dataset daily at 7:30 Pacific Time. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nSan Francisco population estimates for geographic regions can be found in a <a href=\"https://data.sfgov.org/d/35v5-seg9\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).\n\n<em>Privacy rules in effect</em>\nTo protect privacy, certain rules are in effect:\n1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values\n2. Death counts greater than 0 and less than 10 are dropped - these will be null (blank) values\n3. Cases and deaths dropped altogether for areas where acs_population < 1000\n\n<em>Rate suppression in effect where counts lower than 20</em>\nRates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.\n\n<em>A note on Census ZIP Code Tabulation Areas (ZCTAs)</em>\nZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. <a href=\"https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html\">Read how the Census develops ZCTAs on their website</a>.\n\n<em>Row included for Citywide case counts, incidence rate, and deaths</em>\nA single row is included that has the Citywide case counts and incidence rate. This can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongo","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/f53e3da7-208f-4328-9f54-06e5f07c6442","harvest_record_raw":"https://catalog.data.gov/harvest_record/f53e3da7-208f-4328-9f54-06e5f07c6442/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/tpyr-dvnc","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:33.429253","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"archived-covid-19-cases-and-deaths-summarized-by-geography","spatial_centroid":null,"spatial_shape":null,"theme":["COVID-19"],"title":"ARCHIVED: COVID-19 Cases and Deaths Summarized by Geography","type":"dataset"},{"_score":16.202251,"_sort":[1788375392347,16.202251,5,"64bcfbd6-6d7a-46f7-a6dc-144564a8da25"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"mikewynne","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<b>SUMMARY</b>\nThe Air Pollutant Exposure Zone (APEZ) map identifies areas in San Francisco where air modeling indicates higher levels of air pollution. This map is required to be updated every 5 years, as established in <a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_health/0-0-0-6054\" target=\"_blank\">San Francisco Health Code article 38</a>. The 2025 Air Pollutant Exposure Zone map is an update to the 2020 map. Additional information may be found at <a href=\"https://sfplanning.org/air-quality\" target=\"_blank\">Air Quality Review | SF Planning.</a>\n\nThe map can be viewed on the <a href=\"https://sfplanninggis.org/pim/map/?layers=Air+Pollutant+Exposure+Zone\" target=\"_blank\">San Francisco Property Information Map</a>.\n\n<b>HOW THE DATASET IS CREATED</b>\nThe 2025 APEZ update modeled areas of the city where: particulate matter (PM2.5) is greater than or equal to 9 \u00b5g/m3 or where the risk of cancer from air pollutants is greater than or equal to 100 in a million; in health vulnerable ZIP codes (94102, 94103, 94110, 94124, and 94134), where the risk of cancer from air pollutants is greater than or equal to 90 in a million; locations within 500 feet of freeways; or locations within 1,000 feet of roadways with a daily average of 100,000 vehicles. To learn more, visit <a href=\"https://citypln-m-extnl.sfgov.org/external/link.ashx?Action=Download&ObjectVersion=-1&vault={A4A7DACD-B0DC-4322-BD29-F6F07103C6E0}&objectGUID={7095FD25-19FC-4EC5-BE89-27CA111949A8}&fileGUID={03888D2B-28F3-40FC-971B-B9D158D5F873}\" target=\"_blank\">San Francisco Citywide Health Risk Assessment: Technical Support Documentation, Air Pollutant Exposure Zone Handout</a> and <a href=\"https://storymaps.arcgis.com/stories/3df9534ee9ac4652805bc0b6b73fb1ec\" target=\"_blank\">Air Pollutant Exposure Zone Story Map.</a>\n\n<b>UPDATE PROCESS</b>\nUpdated every five years.\n\n<b>HOW TO USE THIS DATASET</b>\nThe City uses this dataset as follows. <a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_health/0-0-0-6054\" target=\"_blank\">San Francisco Health Code article 38</a> requires new developments or major renovations within the APEZ with sensitive receptors, like housing or preschools, to include a ventilation system that sufficiently removes fine particulate matter (minimum efficiency reporting volume [MERV] 13 or equivalent filtration). In addition, <a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-46889\" target=\"_blank\">Environment Code Chapter 25</a> requires public agencies implementing projects within the APEZ to use the cleanest construction equipment available. The City\u2019s environmental review under the California Environmental Quality Act (CEQA) uses the APEZ in its analysis to mandate the use of clean construction equipment, when applicable. To learn more, visit <a href=\"https://sfplanning.org/air-quality\" target=\"_blank\">Air Quality Review | SF Planning.</a>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/t65d-x6p8/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/t65d-x6p8/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/t65d-x6p8/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/t65d-x6p8/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/t65d-x6p8/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/t65d-x6p8/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/t65d-x6p8/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/t65d-x6p8/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/t65d-x6p8","issued":"2025-03-11","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/t65d-x6p8","license":"https://www.usa.gov/government-works","modified":"2025-08-26","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Geographic Locations and Boundaries"],"title":"Air Pollutant Exposure Zone"},"description":"<b>SUMMARY</b>\nThe Air Pollutant Exposure Zone (APEZ) map identifies areas in San Francisco where air modeling indicates higher levels of air pollution. This map is required to be updated every 5 years, as established in <a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_health/0-0-0-6054\" target=\"_blank\">San Francisco Health Code article 38</a>. The 2025 Air Pollutant Exposure Zone map is an update to the 2020 map. Additional information may be found at <a href=\"https://sfplanning.org/air-quality\" target=\"_blank\">Air Quality Review | SF Planning.</a>\n\nThe map can be viewed on the <a href=\"https://sfplanninggis.org/pim/map/?layers=Air+Pollutant+Exposure+Zone\" target=\"_blank\">San Francisco Property Information Map</a>.\n\n<b>HOW THE DATASET IS CREATED</b>\nThe 2025 APEZ update modeled areas of the city where: particulate matter (PM2.5) is greater than or equal to 9 \u00b5g/m3 or where the risk of cancer from air pollutants is greater than or equal to 100 in a million; in health vulnerable ZIP codes (94102, 94103, 94110, 94124, and 94134), where the risk of cancer from air pollutants is greater than or equal to 90 in a million; locations within 500 feet of freeways; or locations within 1,000 feet of roadways with a daily average of 100,000 vehicles. To learn more, visit <a href=\"https://citypln-m-extnl.sfgov.org/external/link.ashx?Action=Download&ObjectVersion=-1&vault={A4A7DACD-B0DC-4322-BD29-F6F07103C6E0}&objectGUID={7095FD25-19FC-4EC5-BE89-27CA111949A8}&fileGUID={03888D2B-28F3-40FC-971B-B9D158D5F873}\" target=\"_blank\">San Francisco Citywide Health Risk Assessment: Technical Support Documentation, Air Pollutant Exposure Zone Handout</a> and <a href=\"https://storymaps.arcgis.com/stories/3df9534ee9ac4652805bc0b6b73fb1ec\" target=\"_blank\">Air Pollutant Exposure Zone Story Map.</a>\n\n<b>UPDATE PROCESS</b>\nUpdated every five years.\n\n<b>HOW TO USE THIS DATASET</b>\nThe City uses this dataset as follows. <a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_health/0-0-0-6054\" target=\"_blank\">San Francisco Health Code article 38</a> requires new developments or major renovations within the APEZ with sensitive receptors, like housing or preschools, to include a ventilation system that sufficiently removes fine particulate matter (minimum efficiency reporting volume [MERV] 13 or equivalent filtration). In addition, <a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-46889\" target=\"_blank\">Environment Code Chapter 25</a> requires public agencies implementing projects within the APEZ to use the cleanest construction equipment available. The City\u2019s environmental review under the California Environmental Quality Act (CEQA) uses the APEZ in its analysis to mandate the use of clean construction equipment, when applicable. To learn more, visit <a href=\"https://sfplanning.org/air-quality\" target=\"_blank\">Air Quality Review | SF Planning.</a>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/3528fc77-65df-4cca-8061-1c5a4e1189cf","harvest_record_raw":"https://catalog.data.gov/harvest_record/3528fc77-65df-4cca-8061-1c5a4e1189cf/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/t65d-x6p8","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:32.347034","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":5,"publisher":"data.sf.gov","slug":"air-pollutant-exposure-zone","spatial_centroid":null,"spatial_shape":null,"theme":["Geographic Locations and Boundaries"],"title":"Air Pollutant Exposure Zone","type":"dataset"},{"_score":3.2128944,"_sort":[1788375392109,3.2128944,0,"7259805f-1f01-4de9-b3dc-8a6a62cf66e7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes hospital diversion events declared by San Francisco hospitals.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nSan Francisco hospitals can declare ambulance diversion status, which diverts all ambulance transports away from the hospital of interest except certain specialty calls. This dataset contains number of diversion hours for each hospital. Each record includes the hospital name, the date and time diversion status started, the date and time diversion status ended, and duration of diversion status. \n\n<strong>C. UPDATE PROCESS</strong>\nThe data is updated monthly by San Francisco Emergency Medical Services Agency.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nHospitals are allowed to go on diversion for a maximum of 2 hours before they must re-declare diversion. If 4 or more hospitals go on diversion at the same time, diversion is suspended across all hospitals which means that no hospitals can go on diversion for the next 4 hours. The exception is San Francisco General (SFG) hospital. SFG can declare Trauma Override (functionally identical to hospital diversion) while diversion is suspended since it is San Francisco\u2019s only trauma center. Please refer to the <u><a href=\"https://data.staff.sf.gov/dataset/Hospital-Suspensions/6x9s-ipug/\">Hospital Suspensions dataset</a></u> for more information on diversion suspension.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/t4sf-777q/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/t4sf-777q/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/t4sf-777q/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/t4sf-777q/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/t4sf-777q/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/t4sf-777q","issued":"2024-08-16","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/t4sf-777q","modified":"2026-08-11","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Hospital Diversions"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes hospital diversion events declared by San Francisco hospitals.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nSan Francisco hospitals can declare ambulance diversion status, which diverts all ambulance transports away from the hospital of interest except certain specialty calls. This dataset contains number of diversion hours for each hospital. Each record includes the hospital name, the date and time diversion status started, the date and time diversion status ended, and duration of diversion status. \n\n<strong>C. UPDATE PROCESS</strong>\nThe data is updated monthly by San Francisco Emergency Medical Services Agency.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nHospitals are allowed to go on diversion for a maximum of 2 hours before they must re-declare diversion. If 4 or more hospitals go on diversion at the same time, diversion is suspended across all hospitals which means that no hospitals can go on diversion for the next 4 hours. The exception is San Francisco General (SFG) hospital. SFG can declare Trauma Override (functionally identical to hospital diversion) while diversion is suspended since it is San Francisco\u2019s only trauma center. Please refer to the <u><a href=\"https://data.staff.sf.gov/dataset/Hospital-Suspensions/6x9s-ipug/\">Hospital Suspensions dataset</a></u> for more information on diversion suspension.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/c731eecc-4b17-4ee2-a45e-8b2f68b4f1ca","harvest_record_raw":"https://catalog.data.gov/harvest_record/c731eecc-4b17-4ee2-a45e-8b2f68b4f1ca/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/t4sf-777q","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:32.109823","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"hospital-diversions","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Hospital Diversions","type":"dataset"},{"_score":11.874088,"_sort":[1788375390923,11.874088,0,"c2b9daf2-737f-443e-88ea-39696f5725d9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Tania Jogesh","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset maps 2020 census tracts to Analysis Neighborhoods. \n\nThe Department of Public Health and the Mayor\u2019s Office of Housing and Community Development, with support from the Planning Department originally created the 41 <u><a href=\"https://data.sfgov.org/d/p5b7-5n3h\">Analysis Neighborhoods</a></u>  by grouping 2010 Census tracts, using common real estate and residents\u2019 definitions for the purpose of providing consistency in the analysis and reporting of socio-economic, demographic, and environmental data, and data on City-funded programs and services. They are not codified in Planning Code nor Administrative Code. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThis dataset is produced by mapping the 2020 Census tracts to Analysis neighborhoods.  \n\n<strong>C. UPDATE PROCESS</strong>\nThis dataset is static. Changes to the census tract boundaries are tracked in multiple datasets. See here for the  <u><a href=\"https://data.sfgov.org/d/bwbp-wk3r\">2010 census tracts assigned to neighborhoods</a></u>\n\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis boundary file can be joined to other census datasets on GEOID, which is the primary key for census tracts in the dataset \n\n<strong>E. RELATED DATASET</strong>\n2020 census tract boundaries for San Francisco can be found <u><a href=\"https://data.sfgov.org/d/tmph-tgz9\">here</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/sevw-6tgi/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/sevw-6tgi/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/sevw-6tgi/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/sevw-6tgi/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/sevw-6tgi/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/sevw-6tgi/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/sevw-6tgi/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/sevw-6tgi/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/sevw-6tgi","issued":"2022-07-08","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/sevw-6tgi","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-01-07","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Geographic Locations and Boundaries"],"title":"Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods"},"description":"<strong>A. SUMMARY</strong>\nThis dataset maps 2020 census tracts to Analysis Neighborhoods. \n\nThe Department of Public Health and the Mayor\u2019s Office of Housing and Community Development, with support from the Planning Department originally created the 41 <u><a href=\"https://data.sfgov.org/d/p5b7-5n3h\">Analysis Neighborhoods</a></u>  by grouping 2010 Census tracts, using common real estate and residents\u2019 definitions for the purpose of providing consistency in the analysis and reporting of socio-economic, demographic, and environmental data, and data on City-funded programs and services. They are not codified in Planning Code nor Administrative Code. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThis dataset is produced by mapping the 2020 Census tracts to Analysis neighborhoods.  \n\n<strong>C. UPDATE PROCESS</strong>\nThis dataset is static. Changes to the census tract boundaries are tracked in multiple datasets. See here for the  <u><a href=\"https://data.sfgov.org/d/bwbp-wk3r\">2010 census tracts assigned to neighborhoods</a></u>\n\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis boundary file can be joined to other census datasets on GEOID, which is the primary key for census tracts in the dataset \n\n<strong>E. RELATED DATASET</strong>\n2020 census tract boundaries for San Francisco can be found <u><a href=\"https://data.sfgov.org/d/tmph-tgz9\">here</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/05c5bbe3-9797-4aa4-8dcf-1c1455d93cb2","harvest_record_raw":"https://catalog.data.gov/harvest_record/05c5bbe3-9797-4aa4-8dcf-1c1455d93cb2/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/sevw-6tgi","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:30.923641","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"analysis-neighborhoods-2020-census-tracts-assigned-to-neighborhoods","spatial_centroid":null,"spatial_shape":null,"theme":["Geographic Locations and Boundaries"],"title":"Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods","type":"dataset"},{"_score":16.491482,"_sort":[1788375390804,16.491482,0,"a60c7330-1b51-4d49-be14-84d971088964"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents the COVID-19 vaccinations given to residents of San Francisco over time. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications. This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH) over time. \n\nData provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. \n \n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR \">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n\nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2016-2020 American Community Survey (ACS) population estimates for each demographic group.\n \n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process \n \n<strong>D. HOW TO USE THIS DATASET</strong> \nSan Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\" https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nBefore analysis, you must filter the dataset to the desired stratification of data using the \"overall_segment\" column. \n \nFor example, filtering \"overall_segment\" to \"All SF Residents by Age Bracket, Administered by All Providers\" will filter the data to residents whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets. \n \nIf you filter \"overall_segment\" to \"All SF Residents by Race/Ethnicity, Administered by DPH Only\", you will see the race/ethnicity breakdown for residents who received vaccinations from the San Francisco Department of Public Health (SFDPH). \n\nIf you filter \"overall_segment\" to \"All SF Residents by Age Group, Administered by All Providers\" you will see vaccination counts of various age eligibility groups that were administered by any provider. \n\nTo count the number of individuals vaccinated (with any primary series dose) for the first time on a given day, use the \"new_recipients\" column. To count the number of individuals who have completed their primary vaccine series on a given day, use the \"new_series_completed\" column. To count the number of primary series doses administered on a day (1st, 2nd, 3rd, or single doses), use the \"new_primary_series_doses\" column. \n \nTo count the number of individuals who received their first or second monovalent (not bivalent) booster dose on a given day, use the \"new_booster_recipients\" and \"new_2nd_booster_recipients\" columns. To count the number of individuals who received their first bivalent booster dose on a given day, use the \"new_bivalent_booster_recipients\" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered on a given day, use the \"new_booster_doses\" or \"new_bivalent_booster_doses\" columns.  \n\nTo count the number of individuals who have received a vaccine up to a certain date, use the columns beginning with \"cumulative_...\" \n\n<strong>E. ARCHIVED DATA</strong> \nA previous version of this dataset","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/sej3-bbrc/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/sej3-bbrc/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/sej3-bbrc/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/sej3-bbrc/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/sej3-bbrc/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/sej3-bbrc","issued":"2022-10-05","keyword":["covid","covid-19","vaccination","vaccines"],"landingPage":"https://data.sf.gov/d/sej3-bbrc","modified":"2024-11-12","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Vaccinations Given to SF Residents by Demographics Over Time"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents the COVID-19 vaccinations given to residents of San Francisco over time. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications. This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH) over time. \n\nData provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. \n \n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR \">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n\nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2016-2020 American Community Survey (ACS) population estimates for each demographic group.\n \n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process \n \n<strong>D. HOW TO USE THIS DATASET</strong> \nSan Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\" https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nBefore analysis, you must filter the dataset to the desired stratification of data using the \"overall_segment\" column. \n \nFor example, filtering \"overall_segment\" to \"All SF Residents by Age Bracket, Administered by All Providers\" will filter the data to residents whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets. \n \nIf you filter \"overall_segment\" to \"All SF Residents by Race/Ethnicity, Administered by DPH Only\", you will see the race/ethnicity breakdown for residents who received vaccinations from the San Francisco Department of Public Health (SFDPH). \n\nIf you filter \"overall_segment\" to \"All SF Residents by Age Group, Administered by All Providers\" you will see vaccination counts of various age eligibility groups that were administered by any provider. \n\nTo count the number of individuals vaccinated (with any primary series dose) for the first time on a given day, use the \"new_recipients\" column. To count the number of individuals who have completed their primary vaccine series on a given day, use the \"new_series_completed\" column. To count the number of primary series doses administered on a day (1st, 2nd, 3rd, or single doses), use the \"new_primary_series_doses\" column. \n \nTo count the number of individuals who received their first or second monovalent (not bivalent) booster dose on a given day, use the \"new_booster_recipients\" and \"new_2nd_booster_recipients\" columns. To count the number of individuals who received their first bivalent booster dose on a given day, use the \"new_bivalent_booster_recipients\" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered on a given day, use the \"new_booster_doses\" or \"new_bivalent_booster_doses\" columns.  \n\nTo count the number of individuals who have received a vaccine up to a certain date, use the columns beginning with \"cumulative_...\" \n\n<strong>E. ARCHIVED DATA</strong> \nA previous version of this dataset","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/b21cc330-6810-4cf9-a5e2-6edba4c7651e","harvest_record_raw":"https://catalog.data.gov/harvest_record/b21cc330-6810-4cf9-a5e2-6edba4c7651e/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/sej3-bbrc","keyword":["covid","covid-19","vaccination","vaccines"],"last_harvested_date":"2026-09-02T18:56:30.804859","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"archived-covid-19-vaccinations-given-to-sf-residents-by-demographics-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Vaccinations Given to SF Residents by Demographics Over Time","type":"dataset"},{"_score":13.469778,"_sort":[1788375389048,13.469778,0,"ef4337aa-0fd9-4122-82d5-196e22e23123"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents the COVID-19 vaccinations given to residents of San Francisco over time. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH) over time. \n\nData provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. \n \n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). \n \n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process \n \n<strong>D. HOW TO USE THIS DATASET</strong> \nBefore analysis, you must filter the dataset to the desired stratification of data using the \"administering_provider_type\" column. To get vaccination counts of all SF residents regardless of provider, filter to \"administering_provider_type\" = \u2018All Providers\u2019. To get vaccination counts administered by SFDPH to SF residents, filter to \"administering_provider_type\" = \u2018DPH Only\u2019. \n\nTo count the number of individuals vaccinated (with any primary series dose) for the first time on a given day, use the \"new_recipients\" column. To count the number of individuals who have completed their primary vaccine series on a given day, use the \"new_series_completed\" column. To count the number of primary series doses administered on a day (1st, 2nd, 3rd, or single doses), use the \"new_primary_series_doses\" column. \n \nTo count the number of individuals who received their first or second monovalent (not bivalent) booster dose on a given day, use the \"new_booster_recipients\" and \"new_2nd_booster_recipients\" columns. To count the number of individuals who received their first bivalent booster dose on a given day, use the \"new_bivalent_booster_recipients\" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered on a given day, use the \"new_booster_doses\" or \"new_bivalent_booster_doses\" columns.  \n\nTo count the number of individuals who have received a vaccine up to a certain date, use the columns beginning with \"cumulative_...\" \n\n<strong>E. ARCHIVED DATA</strong> \nThis dataset is a combination of two previous datasets that were archived on 10/27/2022. For historical purposes, you can access the archived datasets at the following links:  \n\n<a href= \"https://data.sfgov.org/d/bqge-2y7k\">ARCHIVED: COVID Vaccinations Given to SF Residents Over Time</a> \n<a href= \"https://data.sfgov.org/d/9tca-udid\">ARCHIVED: COVID Vaccinations Given to SF Residents by SF DPH Over Time</a>\n\n<strong>F. CHANGE LOG</strong> \n<UL><LI>11/1/2023 - data on COVID-19 vaccinations given to SF residents by over time are no longer being updated. This data is currently through 10/31/2023 and will not include any new data after this date.\n<LI>10/27/2022 - the datasets COVID Vaccinations Given to SF Residents Over Time and COVID Vaccinations Given to SF Residents by SF DPH Over Time were merged into a single dataset. The column \u201cadministering_provider_type\u201d can be used to filter between the two metrics. These previous datasets can be found in the ARCHIVED DATA section. \n<LI>10/27/2022 - the columns \u201cnew_1st_doses\u201d, \u201cnew_2nd_doses\u201d, and \u201cnew_single_doses\u201d were removed and consolidated into the column \u201cnew_primary_series_doses\u201d (which also includes 3rd doses for the Pfizer Under 5 series). S","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/rutu-rpar/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/rutu-rpar/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/rutu-rpar/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/rutu-rpar/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/rutu-rpar/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/rutu-rpar","issued":"2022-10-05","keyword":["vaccination"],"landingPage":"https://data.sf.gov/d/rutu-rpar","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-11-12","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Vaccinations Given to SF Residents Over Time"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents the COVID-19 vaccinations given to residents of San Francisco over time. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH) over time. \n\nData provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. \n \n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). \n \n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process \n \n<strong>D. HOW TO USE THIS DATASET</strong> \nBefore analysis, you must filter the dataset to the desired stratification of data using the \"administering_provider_type\" column. To get vaccination counts of all SF residents regardless of provider, filter to \"administering_provider_type\" = \u2018All Providers\u2019. To get vaccination counts administered by SFDPH to SF residents, filter to \"administering_provider_type\" = \u2018DPH Only\u2019. \n\nTo count the number of individuals vaccinated (with any primary series dose) for the first time on a given day, use the \"new_recipients\" column. To count the number of individuals who have completed their primary vaccine series on a given day, use the \"new_series_completed\" column. To count the number of primary series doses administered on a day (1st, 2nd, 3rd, or single doses), use the \"new_primary_series_doses\" column. \n \nTo count the number of individuals who received their first or second monovalent (not bivalent) booster dose on a given day, use the \"new_booster_recipients\" and \"new_2nd_booster_recipients\" columns. To count the number of individuals who received their first bivalent booster dose on a given day, use the \"new_bivalent_booster_recipients\" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered on a given day, use the \"new_booster_doses\" or \"new_bivalent_booster_doses\" columns.  \n\nTo count the number of individuals who have received a vaccine up to a certain date, use the columns beginning with \"cumulative_...\" \n\n<strong>E. ARCHIVED DATA</strong> \nThis dataset is a combination of two previous datasets that were archived on 10/27/2022. For historical purposes, you can access the archived datasets at the following links:  \n\n<a href= \"https://data.sfgov.org/d/bqge-2y7k\">ARCHIVED: COVID Vaccinations Given to SF Residents Over Time</a> \n<a href= \"https://data.sfgov.org/d/9tca-udid\">ARCHIVED: COVID Vaccinations Given to SF Residents by SF DPH Over Time</a>\n\n<strong>F. CHANGE LOG</strong> \n<UL><LI>11/1/2023 - data on COVID-19 vaccinations given to SF residents by over time are no longer being updated. This data is currently through 10/31/2023 and will not include any new data after this date.\n<LI>10/27/2022 - the datasets COVID Vaccinations Given to SF Residents Over Time and COVID Vaccinations Given to SF Residents by SF DPH Over Time were merged into a single dataset. The column \u201cadministering_provider_type\u201d can be used to filter between the two metrics. These previous datasets can be found in the ARCHIVED DATA section. \n<LI>10/27/2022 - the columns \u201cnew_1st_doses\u201d, \u201cnew_2nd_doses\u201d, and \u201cnew_single_doses\u201d were removed and consolidated into the column \u201cnew_primary_series_doses\u201d (which also includes 3rd doses for the Pfizer Under 5 series). S","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/7576c63b-268e-4157-9280-508ab031e231","harvest_record_raw":"https://catalog.data.gov/harvest_record/7576c63b-268e-4157-9280-508ab031e231/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/rutu-rpar","keyword":["vaccination"],"last_harvested_date":"2026-09-02T18:56:29.048230","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"archived-covid-19-vaccinations-given-to-sf-residents-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Vaccinations Given to SF Residents Over Time","type":"dataset"},{"_score":11.699642,"_sort":[1788375388269,11.699642,1,"8a2c3ffc-563e-4389-927b-01a22b50a5a0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<i><b>Note: As of July 21, 2021, this dataset no longer updates.</i></b>\n\n<strong>A. SUMMARY</strong>\nData on daily hospital bed use and available capacity at San Francisco acute care hospitals from April 2020 onward. Long Term Care facilities (like Laguna Honda and Kentfield) are not included in this data as acute care patients cannot be admitted to these facilities.\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThis hospital capacity information is based on data that all SF acute care hospitals report to the San Francisco Department of Public Health.\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 05:00 Pacific Time each day. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. This data is on a 4-day lag to account for the time needed to complete and validate data from all SF acute care hospitals. \n<strong>D. HOW TO USE THIS DATASET</strong>\nThis data provides visibility into current occupancy levels and use of San Francisco acute care hospitals and potential ability to accommodate anticipated surges of COVID patients. \nData includes current census of COVID-19 patients (including both confirmed cases and suspected COVID patients) and other patients in acute care hospitals, shown in the \u201cStatus\u201d column. The \u201cStatus\u201d column also includes all available beds.\nThis daily census information is stratified by type of bed (acute care, intensive care, and surge) in the \u201cBed Type\u201d column. Acute care beds treat patients with illnesses and injuries including recovery from surgeries. Intensive care (ICU) beds are for sicker patients in need of critical and life support services that can include the use of a ventilator. Surge beds are the additional beds that can be made available to handle an influx of COVID-19 patients; surge beds are differentiated between acute care surge beds and ICU surge beds.\nNote: The current census of COVID patients shown here may not always match the hospitalizations data (https://data.sfgov.org/COVID-19/COVID-19-Hospitalizations/nxjg-bhem), as that data includes all hospitals and long term care facilities. As described above, those long term care facilities are not included here as they don\u2019t have the capacity to take in additional acute care patients and therefore aren\u2019t included in capacity measures.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/rh24-ebzg/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/rh24-ebzg/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/rh24-ebzg/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/rh24-ebzg/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/rh24-ebzg/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/rh24-ebzg","issued":"2020-06-02","keyword":["acute","covid","covid-19","hospital","hospital beds","hospital capacity","icu","surge"],"landingPage":"https://data.sf.gov/d/rh24-ebzg","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-02-18","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Hospital Capacity"},"description":"<i><b>Note: As of July 21, 2021, this dataset no longer updates.</i></b>\n\n<strong>A. SUMMARY</strong>\nData on daily hospital bed use and available capacity at San Francisco acute care hospitals from April 2020 onward. Long Term Care facilities (like Laguna Honda and Kentfield) are not included in this data as acute care patients cannot be admitted to these facilities.\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThis hospital capacity information is based on data that all SF acute care hospitals report to the San Francisco Department of Public Health.\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 05:00 Pacific Time each day. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. This data is on a 4-day lag to account for the time needed to complete and validate data from all SF acute care hospitals. \n<strong>D. HOW TO USE THIS DATASET</strong>\nThis data provides visibility into current occupancy levels and use of San Francisco acute care hospitals and potential ability to accommodate anticipated surges of COVID patients. \nData includes current census of COVID-19 patients (including both confirmed cases and suspected COVID patients) and other patients in acute care hospitals, shown in the \u201cStatus\u201d column. The \u201cStatus\u201d column also includes all available beds.\nThis daily census information is stratified by type of bed (acute care, intensive care, and surge) in the \u201cBed Type\u201d column. Acute care beds treat patients with illnesses and injuries including recovery from surgeries. Intensive care (ICU) beds are for sicker patients in need of critical and life support services that can include the use of a ventilator. Surge beds are the additional beds that can be made available to handle an influx of COVID-19 patients; surge beds are differentiated between acute care surge beds and ICU surge beds.\nNote: The current census of COVID patients shown here may not always match the hospitalizations data (https://data.sfgov.org/COVID-19/COVID-19-Hospitalizations/nxjg-bhem), as that data includes all hospitals and long term care facilities. As described above, those long term care facilities are not included here as they don\u2019t have the capacity to take in additional acute care patients and therefore aren\u2019t included in capacity measures.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/9bb555ae-fcab-4c70-862d-8e0bcc9a40c6","harvest_record_raw":"https://catalog.data.gov/harvest_record/9bb555ae-fcab-4c70-862d-8e0bcc9a40c6/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/rh24-ebzg","keyword":["acute","covid","covid-19","hospital","hospital beds","hospital capacity","icu","surge"],"last_harvested_date":"2026-09-02T18:56:28.269752","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"archived-covid-19-hospital-capacity","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Hospital Capacity","type":"dataset"},{"_score":40.92641,"_sort":[1788375387247,40.92641,37,"2d814c93-781c-4e0c-a370-4ca3d40198e9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"This dataset captures monthly data from HSS' phone system and includes metrics pertaining to Calls Answered, Average Speed of Answer, Abandonment Rate, In-person Assistance. This data supports the City's Performance Measures requirements. In April of 2023 HSS switched to a new phone system - WEBEX (Finess).","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/qz8r-q5ne/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/qz8r-q5ne/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/qz8r-q5ne/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/qz8r-q5ne/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/qz8r-q5ne/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/qz8r-q5ne","issued":"2018-04-18","keyword":["call center","metrics","performance"],"landingPage":"https://data.sf.gov/d/qz8r-q5ne","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-11-12","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Call Center Metrics for the Health Service System"},"description":"This dataset captures monthly data from HSS' phone system and includes metrics pertaining to Calls Answered, Average Speed of Answer, Abandonment Rate, In-person Assistance. This data supports the City's Performance Measures requirements. In April of 2023 HSS switched to a new phone system - WEBEX (Finess).","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1f44ce51-c3c8-4ddc-969b-5677c4747056","harvest_record_raw":"https://catalog.data.gov/harvest_record/1f44ce51-c3c8-4ddc-969b-5677c4747056/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/qz8r-q5ne","keyword":["call center","metrics","performance"],"last_harvested_date":"2026-09-02T18:56:27.247915","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":37,"publisher":"data.sf.gov","slug":"call-center-metrics-for-the-health-service-system","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Call Center Metrics for the Health Service System","type":"dataset"},{"_score":13.27922,"_sort":[1788375385418,13.27922,4,"19185529-f1e7-4ad6-9417-52b7e78b73fb"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes COVID-19 tests by resident neighborhood and specimen collection date (the day the test was collected). Specifically, this dataset includes tests of San Francisco residents who listed a San Francisco home address at the time of testing. These resident addresses were then geo-located and mapped to neighborhoods. The resident address associated with each test is hand-entered and susceptible to errors, therefore neighborhood data should be interpreted as an approximation, not a precise nor comprehensive total.\n\nIn recent months, about 5% of tests are missing addresses and therefore cannot be included in any neighborhood totals. In earlier months, more tests were missing address data. Because of this high percentage of tests missing resident address data, this neighborhood testing data for March, April, and May should be interpreted with caution (see below)\n\nPercentage of tests missing address information, by month in 2020\nMar - 33.6%\nApr - 25.9%\nMay - 11.1%\nJun - 7.2%\nJul - 5.8%\nAug - 5.4%\nSep - 5.1%\nOct (Oct 1-12) - 5.1%\n\nTo protect the privacy of residents, the City does not disclose the number of tests in neighborhoods with resident populations of fewer than 1,000 people. These neighborhoods are omitted from the data (they include Golden Gate Park, John McLaren Park, and Lands End).\n\nTests for residents that listed a Skilled Nursing Facility as their home address are not included in this neighborhood-level testing data. Skilled Nursing Facilities have required and repeated testing of residents, which would change neighborhood trends and not reflect the broader neighborhood's testing data.\n\nThis data was de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected). \n\n<strong>The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco. </strong>During this investigation, some test results are found to be for persons living outside of San Francisco and some people in San Francisco may be tested multiple times (which is common). To see the number of new confirmed cases by neighborhood, reference this map: https://sf.gov/data/covid-19-case-maps#new-cases-maps\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCOVID-19 laboratory test data is based on electronic laboratory test reports. Deduplication, quality assurance measures and other data verification processes maximize accuracy of laboratory test information. All testing data is then geo-coded by resident address. Then data is aggregated by analysis neighborhood and specimen collection date.\n\nData are prepared by close of business Monday through Saturday for public display.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 05:00 Pacific Time each day. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nSan Francisco population estimates for geographic regions can be found in a <a href=\"https://data.sfgov.org/d/35v5-seg9\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nDue to the high degree of variation in the time needed to complete tests by different labs there is a delay in this reporting. On March 24 the Health Officer ordered all labs in the City to report complete COVID-19 testing information to the local and state health departments. \n\nIn order to track trends over time, a data user can analyze this data by \"specimen_collection_date\".\n\nCalculating Percent Positivity: The positivity rate is the percentage of tests that return a positive result for COVID-19 (positive tests divided by the sum of positive and negative tests). Indeterminate results, which could not conclusively determine whether COVID-19 virus was present, are not included in the calculation of pe","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/qhc5-mubk/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/qhc5-mubk/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/qhc5-mubk/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/qhc5-mubk/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/qhc5-mubk/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/qhc5-mubk","issued":"2023-01-31","keyword":["covid","covid-19","covid19 testing","geography","lab testing","neighborhoods","testing","testing by neighborhood"],"landingPage":"https://data.sf.gov/d/qhc5-mubk","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-05-07","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Testing by Geography Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes COVID-19 tests by resident neighborhood and specimen collection date (the day the test was collected). Specifically, this dataset includes tests of San Francisco residents who listed a San Francisco home address at the time of testing. These resident addresses were then geo-located and mapped to neighborhoods. The resident address associated with each test is hand-entered and susceptible to errors, therefore neighborhood data should be interpreted as an approximation, not a precise nor comprehensive total.\n\nIn recent months, about 5% of tests are missing addresses and therefore cannot be included in any neighborhood totals. In earlier months, more tests were missing address data. Because of this high percentage of tests missing resident address data, this neighborhood testing data for March, April, and May should be interpreted with caution (see below)\n\nPercentage of tests missing address information, by month in 2020\nMar - 33.6%\nApr - 25.9%\nMay - 11.1%\nJun - 7.2%\nJul - 5.8%\nAug - 5.4%\nSep - 5.1%\nOct (Oct 1-12) - 5.1%\n\nTo protect the privacy of residents, the City does not disclose the number of tests in neighborhoods with resident populations of fewer than 1,000 people. These neighborhoods are omitted from the data (they include Golden Gate Park, John McLaren Park, and Lands End).\n\nTests for residents that listed a Skilled Nursing Facility as their home address are not included in this neighborhood-level testing data. Skilled Nursing Facilities have required and repeated testing of residents, which would change neighborhood trends and not reflect the broader neighborhood's testing data.\n\nThis data was de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected). \n\n<strong>The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco. </strong>During this investigation, some test results are found to be for persons living outside of San Francisco and some people in San Francisco may be tested multiple times (which is common). To see the number of new confirmed cases by neighborhood, reference this map: https://sf.gov/data/covid-19-case-maps#new-cases-maps\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCOVID-19 laboratory test data is based on electronic laboratory test reports. Deduplication, quality assurance measures and other data verification processes maximize accuracy of laboratory test information. All testing data is then geo-coded by resident address. Then data is aggregated by analysis neighborhood and specimen collection date.\n\nData are prepared by close of business Monday through Saturday for public display.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 05:00 Pacific Time each day. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nSan Francisco population estimates for geographic regions can be found in a <a href=\"https://data.sfgov.org/d/35v5-seg9\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nDue to the high degree of variation in the time needed to complete tests by different labs there is a delay in this reporting. On March 24 the Health Officer ordered all labs in the City to report complete COVID-19 testing information to the local and state health departments. \n\nIn order to track trends over time, a data user can analyze this data by \"specimen_collection_date\".\n\nCalculating Percent Positivity: The positivity rate is the percentage of tests that return a positive result for COVID-19 (positive tests divided by the sum of positive and negative tests). Indeterminate results, which could not conclusively determine whether COVID-19 virus was present, are not included in the calculation of pe","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/46fc2598-1fd1-479d-b1ff-3ea0d1b76fcd","harvest_record_raw":"https://catalog.data.gov/harvest_record/46fc2598-1fd1-479d-b1ff-3ea0d1b76fcd/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/qhc5-mubk","keyword":["covid","covid-19","covid19 testing","geography","lab testing","neighborhoods","testing","testing by neighborhood"],"last_harvested_date":"2026-09-02T18:56:25.418839","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":4,"publisher":"data.sf.gov","slug":"archived-covid-19-testing-by-geography-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Testing by Geography Over Time","type":"dataset"},{"_score":10.474172,"_sort":[1788375384674,10.474172,0,"526987d8-55e9-49a9-b538-2f696e3a97db"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents all San Francisco (SF) residents who have received a vaccine for certain respiratory viruses that circulate more heavily in the fall and winter months. All vaccines given to SF residents are included, even if they received their vaccination elsewhere in California. The data are broken down by demographic and geographical stratifications. \n\n<strong>COVID-19:</strong>\nThis dataset represents all SF residents who are considered up to date on their COVID-19 vaccine. A person is up to date if they have received at least one dose of the 2025\u20132026 COVID-19 vaccine.  <a href=\"https://data.ca.gov/dataset/covid-19-vaccine-progress-dashboard-data\">The specific up-to-date criteria can be found on the California Department of Public Health (CDPH) website</a>.  \n\n(Note: As of November 2024, this dataset only contains data regarding COVID-19 vaccinations. This documentation will be updated as other seasonal vaccination data is added). \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in SF is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by CDPH. The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n \nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2018-2022 American Community Survey (ACS) population estimates for each demographic group and analysis neighborhood.\n\n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process.\n\n<strong>D. HOW TO USE THIS DATASET</strong> \nSF population estimates for race/ethnicity and age groups can be found in a <a href = \"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-demographics-population-esti/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. SF population estimates for analysis neighborhoods can be found in a <a href=\"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-geography-population-estimat/35v5-seg9\">view based on the San Francisco Population and Geography Census dataset</a>. Both of these views use population estimates from the 2018-2022 5-year ACS. \n \nBefore analysis, you must filter the dataset to the desired stratification of data using the \u201cvaccine_type\u201d and \"demographic_group\" columns. For example, filtering \u201cvaccine_type\u201d to \u201cCOVID-19\u201d will allow you to only look at rows corresponding to COVID-19 vaccinations. Filtering \u201cdemographic_subgroup\u201d to \u201cAnalysis Neighborhood\u201d will allow you to only look at rows corresponding to SF neighborhoods. You can then calculate the percentages of those up to date with their COVID-19 vaccinations by neighborhood. The \u201cvaccine_subtype\u201d field provides information about the current vaccine product being tracked in this dataset.\n\n<strong>E. CHANGE LOG</strong>\n<LI>10/6/2025 - Dataset updated to reflect up to date status for the 2025-2026 monovalent formulation of the COVID-19 vaccine.\n<LI>11/5/2024 - Dataset updated to reflect up to date status for the 2024-2025 monovalent formulation of the COVID-19 vaccine.\n<LI>7/2/2024 - Population estimates were updated to reflect the most recent ACS data.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/q6g7-y2et/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/q6g7-y2et/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/q6g7-y2et/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/q6g7-y2et/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/q6g7-y2et/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/q6g7-y2et","issued":"2023-10-24","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/q6g7-y2et","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-01","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Current Season Viral Respiratory Vaccinations"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents all San Francisco (SF) residents who have received a vaccine for certain respiratory viruses that circulate more heavily in the fall and winter months. All vaccines given to SF residents are included, even if they received their vaccination elsewhere in California. The data are broken down by demographic and geographical stratifications. \n\n<strong>COVID-19:</strong>\nThis dataset represents all SF residents who are considered up to date on their COVID-19 vaccine. A person is up to date if they have received at least one dose of the 2025\u20132026 COVID-19 vaccine.  <a href=\"https://data.ca.gov/dataset/covid-19-vaccine-progress-dashboard-data\">The specific up-to-date criteria can be found on the California Department of Public Health (CDPH) website</a>.  \n\n(Note: As of November 2024, this dataset only contains data regarding COVID-19 vaccinations. This documentation will be updated as other seasonal vaccination data is added). \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in SF is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by CDPH. The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n \nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2018-2022 American Community Survey (ACS) population estimates for each demographic group and analysis neighborhood.\n\n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process.\n\n<strong>D. HOW TO USE THIS DATASET</strong> \nSF population estimates for race/ethnicity and age groups can be found in a <a href = \"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-demographics-population-esti/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. SF population estimates for analysis neighborhoods can be found in a <a href=\"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-geography-population-estimat/35v5-seg9\">view based on the San Francisco Population and Geography Census dataset</a>. Both of these views use population estimates from the 2018-2022 5-year ACS. \n \nBefore analysis, you must filter the dataset to the desired stratification of data using the \u201cvaccine_type\u201d and \"demographic_group\" columns. For example, filtering \u201cvaccine_type\u201d to \u201cCOVID-19\u201d will allow you to only look at rows corresponding to COVID-19 vaccinations. Filtering \u201cdemographic_subgroup\u201d to \u201cAnalysis Neighborhood\u201d will allow you to only look at rows corresponding to SF neighborhoods. You can then calculate the percentages of those up to date with their COVID-19 vaccinations by neighborhood. The \u201cvaccine_subtype\u201d field provides information about the current vaccine product being tracked in this dataset.\n\n<strong>E. CHANGE LOG</strong>\n<LI>10/6/2025 - Dataset updated to reflect up to date status for the 2025-2026 monovalent formulation of the COVID-19 vaccine.\n<LI>11/5/2024 - Dataset updated to reflect up to date status for the 2024-2025 monovalent formulation of the COVID-19 vaccine.\n<LI>7/2/2024 - Population estimates were updated to reflect the most recent ACS data.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/ef4c3c9b-e172-48d9-bad9-03ebf99bf793","harvest_record_raw":"https://catalog.data.gov/harvest_record/ef4c3c9b-e172-48d9-bad9-03ebf99bf793/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/q6g7-y2et","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:24.674263","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"current-season-viral-respiratory-vaccinations","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Current Season Viral Respiratory Vaccinations","type":"dataset"},{"_score":10.560993,"_sort":[1788375384300,10.560993,0,"6b70e363-ea61-4e41-ac1f-36bf2378cf0c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>Note 5/1/2026: This dataset has known errors and we do not recommend using it at this time. Thank you for your patience while we work on correcting the dataset.</strong>\n\n<strong>A. SUMMARY</strong>\nThis database lists records of rodent treatments primarily in the City's combined sewer system. The data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Rodent treatments are listed by location and by number of products used. These data will be linked with other public data to provide informational tools in support of the City's Integrated Pest Management (IPM) Program and Vector Control Program, administered by the Department of the Environment and Department of Public Health, respectively. Providing public access to such data is in keeping with the record-keeping and transparency requirements of the IPM Ordinance, Environment Code, Chapt. 3.\n\n<li>For more information on San Francisco's IPM program, see https://www.sfenvironment.org/what-integrated-pest-management-ipm \n<li>For information on the City's Vector Control Program, see https://www.sf.gov/get-help-vermin-your-building\n<li>For more information on data set data custodian, see https://www.civichub.us/ca/sf/open-data\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Data is collected by the field technicians and added to a service database from there the data is being published to the SF Open Data portal.\n\n<strong>C. UPDATE PROCESS</strong>\nThis feed is updated daily and reflects service and product application from the previous calendar day.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/pyt2-uhqw/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/pyt2-uhqw/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/pyt2-uhqw","issued":"2024-04-03","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/pyt2-uhqw","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["City Infrastructure"],"title":"Rodent control by citywide contractor"},"description":"<strong>Note 5/1/2026: This dataset has known errors and we do not recommend using it at this time. Thank you for your patience while we work on correcting the dataset.</strong>\n\n<strong>A. SUMMARY</strong>\nThis database lists records of rodent treatments primarily in the City's combined sewer system. The data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Rodent treatments are listed by location and by number of products used. These data will be linked with other public data to provide informational tools in support of the City's Integrated Pest Management (IPM) Program and Vector Control Program, administered by the Department of the Environment and Department of Public Health, respectively. Providing public access to such data is in keeping with the record-keeping and transparency requirements of the IPM Ordinance, Environment Code, Chapt. 3.\n\n<li>For more information on San Francisco's IPM program, see https://www.sfenvironment.org/what-integrated-pest-management-ipm \n<li>For information on the City's Vector Control Program, see https://www.sf.gov/get-help-vermin-your-building\n<li>For more information on data set data custodian, see https://www.civichub.us/ca/sf/open-data\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Data is collected by the field technicians and added to a service database from there the data is being published to the SF Open Data portal.\n\n<strong>C. UPDATE PROCESS</strong>\nThis feed is updated daily and reflects service and product application from the previous calendar day.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/988bc22a-fdbc-4a97-9d1c-7c43da672de6","harvest_record_raw":"https://catalog.data.gov/harvest_record/988bc22a-fdbc-4a97-9d1c-7c43da672de6/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/pyt2-uhqw","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:24.300093","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"rodent-control-by-citywide-contractor","spatial_centroid":null,"spatial_shape":null,"theme":["City Infrastructure"],"title":"Rodent control by citywide contractor","type":"dataset"},{"_score":79.92588,"_sort":[1788375384173,79.92588,2,"ce56599e-378e-4185-8457-2e9448135b77"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong> As of 2021, the LIVES standard is no longer being used to evaluate restaurants. For that reason, this dataset is no longer being updated but will remain on the open data portal. For new inspection data please visit <u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">this website</a></u> or download the new data here (<u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2023-Present)</a></u>). </strong>\n\n<strong>SUMMARY</strong>\nThis dataset contains the results of health inspections conducted by the Department of Public Health from 2016-2019. It includes the name and location of each facility inspected, the inspection score, and any violations observed.\n\n<strong>HOW THIS DATASET IS CREATED</strong>\nAfter inspecting a facility, a Health Inspector assigns a score based on observed violations. Violations are categorized by risk level:\n\n<strong>High risk category:</strong> records specific violations that directly relate to the transmission of food borne illnesses, the adulteration of food products and the contamination of food-contact surfaces.\n<Strong>Moderate risk category:</strong> records specific violations that are of a moderate risk to the public health and safety.\n<strong>Low risk category:</strong> records violations that are low risk or have no immediate risk to the public health and safety.</li>\nThe score card that will be issued by the inspector is maintained at the food establishment and is available to the public in this dataset.\n\n<strong>UPDATE PROCESS</strong>\nThis dataset is historical and will not be updated\n\n<strong>RELATED DATASETS</strong>\n<li><u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2023-Present)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/5tti-66ds\">Health Inspections (2020-2023)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/pyih-qa8i\">Health Inspections (2016-2019)</a></u>\n<li><u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">Inspection lookup tool</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/pyih-qa8i/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/pyih-qa8i/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/pyih-qa8i/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/pyih-qa8i/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyih-qa8i/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyih-qa8i/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyih-qa8i/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyih-qa8i/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/pyih-qa8i","issued":"2021-02-03","keyword":["department of public health","dph","environmental health","inspections","lives","restaurant scores","san francisco","sanitary scores","sfdph"],"landingPage":"https://data.sf.gov/d/pyih-qa8i","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-05-14","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Health Inspection Scores (2016-2019)"},"description":"<strong> As of 2021, the LIVES standard is no longer being used to evaluate restaurants. For that reason, this dataset is no longer being updated but will remain on the open data portal. For new inspection data please visit <u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">this website</a></u> or download the new data here (<u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2023-Present)</a></u>). </strong>\n\n<strong>SUMMARY</strong>\nThis dataset contains the results of health inspections conducted by the Department of Public Health from 2016-2019. It includes the name and location of each facility inspected, the inspection score, and any violations observed.\n\n<strong>HOW THIS DATASET IS CREATED</strong>\nAfter inspecting a facility, a Health Inspector assigns a score based on observed violations. Violations are categorized by risk level:\n\n<strong>High risk category:</strong> records specific violations that directly relate to the transmission of food borne illnesses, the adulteration of food products and the contamination of food-contact surfaces.\n<Strong>Moderate risk category:</strong> records specific violations that are of a moderate risk to the public health and safety.\n<strong>Low risk category:</strong> records violations that are low risk or have no immediate risk to the public health and safety.</li>\nThe score card that will be issued by the inspector is maintained at the food establishment and is available to the public in this dataset.\n\n<strong>UPDATE PROCESS</strong>\nThis dataset is historical and will not be updated\n\n<strong>RELATED DATASETS</strong>\n<li><u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2023-Present)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/5tti-66ds\">Health Inspections (2020-2023)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/pyih-qa8i\">Health Inspections (2016-2019)</a></u>\n<li><u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">Inspection lookup tool</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/4c5ad46a-3a56-4939-8141-0bdc89e7422e","harvest_record_raw":"https://catalog.data.gov/harvest_record/4c5ad46a-3a56-4939-8141-0bdc89e7422e/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/pyih-qa8i","keyword":["department of public health","dph","environmental health","inspections","lives","restaurant scores","san francisco","sanitary scores","sfdph"],"last_harvested_date":"2026-09-02T18:56:24.173330","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":2,"publisher":"data.sf.gov","slug":"health-inspection-scores-2016-2019","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Health Inspection Scores (2016-2019)","type":"dataset"},{"_score":37.493843,"_sort":[1788375383676,37.493843,2,"83b66504-989f-4234-ad4b-623f4e45f00c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Leticia Harris","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"Annually, the San Francisco Health Service System (SFHSS) publishes a demographic report of its membership.  SFHSS administers comprehensive health benefits for employees and retirees from the City and County of San Francisco (CCSF), San Francisco Unified School District (SFUSD), City College of San Francisco (SFCCD), and the Superior Court of San Francisco (CRT), as well as their eligible dependents.","identifier":"https://data.sf.gov/api/views/ppyt-2mqw","issued":"2024-08-02","keyword":["city employees","demographics","employee health benefits","hss","retired city employees","sfhss"],"landingPage":"https://data.sf.gov/d/ppyt-2mqw","modified":"2026-03-11","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"SFHSS Demographics Report"},"description":"Annually, the San Francisco Health Service System (SFHSS) publishes a demographic report of its membership.  SFHSS administers comprehensive health benefits for employees and retirees from the City and County of San Francisco (CCSF), San Francisco Unified School District (SFUSD), City College of San Francisco (SFCCD), and the Superior Court of San Francisco (CRT), as well as their eligible dependents.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/407fbeb0-3c7e-4130-bd53-a0f0dac95a80","harvest_record_raw":"https://catalog.data.gov/harvest_record/407fbeb0-3c7e-4130-bd53-a0f0dac95a80/raw","has_download":false,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ppyt-2mqw","keyword":["city employees","demographics","employee health benefits","hss","retired city employees","sfhss"],"last_harvested_date":"2026-09-02T18:56:23.676497","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":2,"publisher":"data.sf.gov","slug":"sfhss-demographics-report","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"SFHSS Demographics Report","type":"dataset"},{"_score":17.798054,"_sort":[1788375383547,17.798054,1,"7321dc9d-39e5-4298-9651-bfb025a6bcb7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes weekly respiratory disease hospital admissions for Influenza, RSV, and COVID-19 into San Francisco hospitals. Columns in the dataset include a count and rate of hospital admissions per 100,000 people. The data are reported by week.\n<br>\n<strong>B. HOW THE DATASET IS CREATED </strong>\nHospital admission data is reported to the San Francisco Department of Public Health (SFDPH) from the United States Center for Disease Control\u2019s (CDC) National Healthcare Safety Network (<u><a href=\"https://www.cdc.gov/nhsn/index.html\">NHSN</a></u>) program.\n\nSan Francisco population estimates are pulled from a view based on the<u> <a href=\"https://data.sfgov.org/Economy-and-Community/SFDPH-reporting-demographics-population-estimates/cedd-86uf\">San Francisco Population and Demographic Census dataset</a></u>. These population estimates are from the 2019-2023 5-year American Community Survey (ACS).\n<br> \n<strong>C. UPDATE PROCESS </strong>\nThe dataset is updated every Friday and includes data from the previous Sunday through Saturday. For example, the update on Friday, October 17th will include data through Saturday, October 11th.  Data may change as more current information becomes available.\n<br> \n<strong>D. HOW TO USE THIS DATASET</strong>\nWeekly data represent a count of confirmed admissions of Influenza, RSV, and COVID-19 patients to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate.\n<br>\n<strong>E. ARCHIVED DATA</strong>\nA previous version of COVID-19 Hospital Admissions Over TIme  dataset was archived. For historical purposes, you can access the archived dataset <u><a href=\"https://data.sfgov.org/Health-and-Social-Services/ARCHIVED-COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here</a></u>.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ppwr-akuv/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/ppwr-akuv/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ppwr-akuv/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/ppwr-akuv/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ppwr-akuv/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/ppwr-akuv","issued":"2025-10-15","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/ppwr-akuv","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-08-28","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Respiratory Virus Hospital Admissions Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes weekly respiratory disease hospital admissions for Influenza, RSV, and COVID-19 into San Francisco hospitals. Columns in the dataset include a count and rate of hospital admissions per 100,000 people. The data are reported by week.\n<br>\n<strong>B. HOW THE DATASET IS CREATED </strong>\nHospital admission data is reported to the San Francisco Department of Public Health (SFDPH) from the United States Center for Disease Control\u2019s (CDC) National Healthcare Safety Network (<u><a href=\"https://www.cdc.gov/nhsn/index.html\">NHSN</a></u>) program.\n\nSan Francisco population estimates are pulled from a view based on the<u> <a href=\"https://data.sfgov.org/Economy-and-Community/SFDPH-reporting-demographics-population-estimates/cedd-86uf\">San Francisco Population and Demographic Census dataset</a></u>. These population estimates are from the 2019-2023 5-year American Community Survey (ACS).\n<br> \n<strong>C. UPDATE PROCESS </strong>\nThe dataset is updated every Friday and includes data from the previous Sunday through Saturday. For example, the update on Friday, October 17th will include data through Saturday, October 11th.  Data may change as more current information becomes available.\n<br> \n<strong>D. HOW TO USE THIS DATASET</strong>\nWeekly data represent a count of confirmed admissions of Influenza, RSV, and COVID-19 patients to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate.\n<br>\n<strong>E. ARCHIVED DATA</strong>\nA previous version of COVID-19 Hospital Admissions Over TIme  dataset was archived. For historical purposes, you can access the archived dataset <u><a href=\"https://data.sfgov.org/Health-and-Social-Services/ARCHIVED-COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here</a></u>.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/335ccb1e-8b3c-437b-86c0-b2b120e79e32","harvest_record_raw":"https://catalog.data.gov/harvest_record/335ccb1e-8b3c-437b-86c0-b2b120e79e32/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ppwr-akuv","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:23.547270","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"respiratory-virus-hospital-admissions-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Respiratory Virus Hospital Admissions Over Time","type":"dataset"},{"_score":47.311752,"_sort":[1788375382064,47.311752,0,"66cbd535-39ac-4827-b48e-b48eb0f28ca3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<STRONG>A. SUMMARY</STRONG>\nThis dataset contains information of Mental Health (MH) and Substance Use Disorder (SUD) programs / sites. It serves as provider directory for the general public to know and search for MH and SUD programs / sites contracted with the City and County of San Francisco. \n\n<STRONG>B. HOW THE DATASET IS CREATED</STRONG>\nThe dataset is pulled from our electronic systems. \n\n<STRONG>C. UPDATE PROCESS</STRONG>\nThe dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking. \n\n<STRONG>D. HOW TO USE THIS DATASET</STRONG>\nThere are filters for some data fields for quick search. For example, if we want to search all MH and SUD programs that serve women, we would use the Gender filter and select \u201cWomen\u201d and \u201cAll\u201d.\n\n<STRONG>E. RELATED DATASETS</STRONG>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/p6m6-pkpk/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/p6m6-pkpk/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/p6m6-pkpk/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/p6m6-pkpk/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/p6m6-pkpk/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/p6m6-pkpk","issued":"2025-08-13","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/p6m6-pkpk","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Mental Health (MH) and Substance Use Disorder (SUD) Provider Directory - Site List"},"description":"<STRONG>A. SUMMARY</STRONG>\nThis dataset contains information of Mental Health (MH) and Substance Use Disorder (SUD) programs / sites. It serves as provider directory for the general public to know and search for MH and SUD programs / sites contracted with the City and County of San Francisco. \n\n<STRONG>B. HOW THE DATASET IS CREATED</STRONG>\nThe dataset is pulled from our electronic systems. \n\n<STRONG>C. UPDATE PROCESS</STRONG>\nThe dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking. \n\n<STRONG>D. HOW TO USE THIS DATASET</STRONG>\nThere are filters for some data fields for quick search. For example, if we want to search all MH and SUD programs that serve women, we would use the Gender filter and select \u201cWomen\u201d and \u201cAll\u201d.\n\n<STRONG>E. RELATED DATASETS</STRONG>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/03ed00a2-6c22-420e-92d4-507c2d91be57","harvest_record_raw":"https://catalog.data.gov/harvest_record/03ed00a2-6c22-420e-92d4-507c2d91be57/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/p6m6-pkpk","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:22.064401","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"mental-health-mh-and-substance-use-disorder-sud-provider-directory-site-list","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Mental Health (MH) and Substance Use Disorder (SUD) Provider Directory - Site List","type":"dataset"},{"_score":21.868885,"_sort":[1788375381197,21.868885,1,"ca78469e-da34-411c-94ce-2308b3d1ebd4"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong> As of 9/12/2024, we will begin reporting on hospitalization data again using a new San Francisco specific dataset. Updated data can be accessed <u><a href=\"https://data.staff.sf.gov/Health-and-Social-Services/COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here.</a></u> </strong>\n\n<strong>On 5/1/2024, hospitalization data reporting will change from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. </strong>\n\n<strong>A. SUMMARY</strong>\nCount of COVID+ patients admitted to the hospital. Patients who are hospitalized and test positive for COVID-19 may  be admitted to an acute care bed (a regular hospital bed), or an intensive care unit (ICU) bed. This data shows the daily total count of COVID+ patients in these two bed types, and the data reflects totals from all San Francisco Hospitals.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nHospital information is based on admission data reported to the National Healthcare Safety Network (NHSN) and provided by the California Department of Public Health (CDPH).\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically every week.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nEach record represents how many people were hospitalized on the date recorded in either an ICU bed or acute care bed (shown as Med/Surg under DPHCategory field).\n\nThe dataset shown here includes all San Francisco hospitals and updates weekly with data for the past Sunday-Saturday as information is collected and verified. Data may change as more current information becomes available.\n\n<strong>E. CHANGE LOG</strong><UL><LI>9/12/2024 -Hospitalization data are now being tracked through a new source and are available <u><a href=\"https://data.staff.sf.gov/Health-and-Social-Services/COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here.</a></u>\n<LI> 5/1/2024 - hospitalization data reporting to the National Healthcare Safety Network (NHSN) changed from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. \n<LI> 12/14/2023 \u2013 added column \u201chospitalreportingpct\u201d to indicate the percentage of hospitals who submitted data on each report date.\n<LI> 8/7/2023 - In response to the end of the federal public health emergency on 5/11/2023 the California Hospital Association (CHA) stopped the collection and dissemination of COVID-19 hospitalization data. In alignment with the California Department of Public Health (CDPH), hospitalization data from 5/11/2023 onward are being pulled from the National Healthcare Safety Network (NHSN). The NHSN data is updated weekly and does not include information on COVID suspected (PUI) patients.\n<LI> 4/9/2021 - dataset updated daily with a four-day data lag.</UL>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nxjg-bhem/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/nxjg-bhem/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nxjg-bhem/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/nxjg-bhem/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nxjg-bhem/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/nxjg-bhem","issued":"2023-12-13","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/nxjg-bhem","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-09-12","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Hospitalizations Over Time"},"description":"<strong> As of 9/12/2024, we will begin reporting on hospitalization data again using a new San Francisco specific dataset. Updated data can be accessed <u><a href=\"https://data.staff.sf.gov/Health-and-Social-Services/COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here.</a></u> </strong>\n\n<strong>On 5/1/2024, hospitalization data reporting will change from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. </strong>\n\n<strong>A. SUMMARY</strong>\nCount of COVID+ patients admitted to the hospital. Patients who are hospitalized and test positive for COVID-19 may  be admitted to an acute care bed (a regular hospital bed), or an intensive care unit (ICU) bed. This data shows the daily total count of COVID+ patients in these two bed types, and the data reflects totals from all San Francisco Hospitals.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nHospital information is based on admission data reported to the National Healthcare Safety Network (NHSN) and provided by the California Department of Public Health (CDPH).\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically every week.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nEach record represents how many people were hospitalized on the date recorded in either an ICU bed or acute care bed (shown as Med/Surg under DPHCategory field).\n\nThe dataset shown here includes all San Francisco hospitals and updates weekly with data for the past Sunday-Saturday as information is collected and verified. Data may change as more current information becomes available.\n\n<strong>E. CHANGE LOG</strong><UL><LI>9/12/2024 -Hospitalization data are now being tracked through a new source and are available <u><a href=\"https://data.staff.sf.gov/Health-and-Social-Services/COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here.</a></u>\n<LI> 5/1/2024 - hospitalization data reporting to the National Healthcare Safety Network (NHSN) changed from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. \n<LI> 12/14/2023 \u2013 added column \u201chospitalreportingpct\u201d to indicate the percentage of hospitals who submitted data on each report date.\n<LI> 8/7/2023 - In response to the end of the federal public health emergency on 5/11/2023 the California Hospital Association (CHA) stopped the collection and dissemination of COVID-19 hospitalization data. In alignment with the California Department of Public Health (CDPH), hospitalization data from 5/11/2023 onward are being pulled from the National Healthcare Safety Network (NHSN). The NHSN data is updated weekly and does not include information on COVID suspected (PUI) patients.\n<LI> 4/9/2021 - dataset updated daily with a four-day data lag.</UL>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/7e24badd-bf89-4087-b276-09b1fd6576c0","harvest_record_raw":"https://catalog.data.gov/harvest_record/7e24badd-bf89-4087-b276-09b1fd6576c0/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/nxjg-bhem","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:21.197957","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"archived-covid-19-hospitalizations-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Hospitalizations Over Time","type":"dataset"},{"_score":6.6142063,"_sort":[1788375381068,6.6142063,3,"33517f96-6f49-4d33-ae01-cf479814462c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis table contains all victims (parties who are injured) involved in a traffic crash resulting in an injury in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD\u2019s Interim Collision System for 2018 to YTD, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded.\n\nThe crash, party, and victim tables have a relational structure. The traffic crashes table contains information on each crash, one record per crash. The party table contains information from all parties involved in the crashes, one record per party. Parties are individuals involved in a traffic crash including drivers, pedestrians, bicyclists, and parked vehicles. The victim table contains information about each party injured in the collision, including any passengers. Injury severity is included in the victim table. \n\nFor example, a crash occurs (1 record in the crash table) that involves a driver party and a pedestrian party (2 records in the party table). Only the pedestrian is injured and thus is the only victim (1 record in the victim table).\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nTraffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE. \n\n<strong>C. UPDATE PROCESS</strong>\nAfter review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4). \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge TransBASE.sfgov.org as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representation as to the accuracy of the information or its suitability for any purpose and disclaim any liability for omissions or errors that may be contained therein. As all data is associated with methodological assumptions and limitations, the City recommends that users review methodological documentation associated with the data prior to its analy","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nwes-mmgh/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/nwes-mmgh/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nwes-mmgh/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/nwes-mmgh/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nwes-mmgh/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nwes-mmgh/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nwes-mmgh/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nwes-mmgh/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/nwes-mmgh","issued":"2024-07-01","keyword":["street safety directive"],"landingPage":"https://data.sf.gov/d/nwes-mmgh","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-07-27","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Public Safety"],"title":"Traffic Crashes Resulting in Injury: Victims Involved"},"description":"<strong>A. SUMMARY</strong>\nThis table contains all victims (parties who are injured) involved in a traffic crash resulting in an injury in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD\u2019s Interim Collision System for 2018 to YTD, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded.\n\nThe crash, party, and victim tables have a relational structure. The traffic crashes table contains information on each crash, one record per crash. The party table contains information from all parties involved in the crashes, one record per party. Parties are individuals involved in a traffic crash including drivers, pedestrians, bicyclists, and parked vehicles. The victim table contains information about each party injured in the collision, including any passengers. Injury severity is included in the victim table. \n\nFor example, a crash occurs (1 record in the crash table) that involves a driver party and a pedestrian party (2 records in the party table). Only the pedestrian is injured and thus is the only victim (1 record in the victim table).\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nTraffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE. \n\n<strong>C. UPDATE PROCESS</strong>\nAfter review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4). \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge TransBASE.sfgov.org as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representation as to the accuracy of the information or its suitability for any purpose and disclaim any liability for omissions or errors that may be contained therein. As all data is associated with methodological assumptions and limitations, the City recommends that users review methodological documentation associated with the data prior to its analy","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/d97293e8-9b11-440d-b729-3e2e6af85e5e","harvest_record_raw":"https://catalog.data.gov/harvest_record/d97293e8-9b11-440d-b729-3e2e6af85e5e/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/nwes-mmgh","keyword":["street safety directive"],"last_harvested_date":"2026-09-02T18:56:21.068094","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":3,"publisher":"data.sf.gov","slug":"traffic-crashes-resulting-in-injury-victims-involved","spatial_centroid":null,"spatial_shape":null,"theme":["Public Safety"],"title":"Traffic Crashes Resulting in Injury: Victims Involved","type":"dataset"},{"_score":20.675686,"_sort":[1788375380108,20.675686,0,"728f25d0-74a8-420f-aae0-5c267fe1aec8"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Alex Morrison","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"Heat and air quality issues caused by climate change and gas-powered vehicles affect San Francisco communities differently. Tree canopy that would buffer the effects is not equally distributed due to historic racial inequities in infrastructure investment.\n\nTo positively affect public health and leverage new federal funding sources, the City and other stakeholders are planning for green infrastructure investments, such as tree planting, sidewalk landscape zones, cool pavement, structural shading,\ngreen schoolyards, and increased areas of stormwater management. This dataset identifies locations where these strategies could have the highest benefit\nto community health and make the most effective use of City investment.\n\nSF Public Works mapped a combination of environmental and health data to identify the priority zones. The study layers exposure to fine particulate matter (PM2.5), satellite temperature readings from a recent heat wave, and tree canopy data to identify where exposure is the highest. To further refine the prioritization zone, data was added for residents experiencing asthma or diabetes hospitalizations\nwhich are both exacerbated by heat and air quality issues. \n\nThis created two final maps focused on heat and air quality that combine environmental data and human health. These maps were combined to produce the final priority zones.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nn26-kuy2/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/nn26-kuy2/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nn26-kuy2/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/nn26-kuy2/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nn26-kuy2/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nn26-kuy2/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nn26-kuy2/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nn26-kuy2/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/nn26-kuy2","issued":"2024-06-20","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/nn26-kuy2","modified":"2024-06-21","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"HAQR Priority Green Infrastructure Zones"},"description":"Heat and air quality issues caused by climate change and gas-powered vehicles affect San Francisco communities differently. Tree canopy that would buffer the effects is not equally distributed due to historic racial inequities in infrastructure investment.\n\nTo positively affect public health and leverage new federal funding sources, the City and other stakeholders are planning for green infrastructure investments, such as tree planting, sidewalk landscape zones, cool pavement, structural shading,\ngreen schoolyards, and increased areas of stormwater management. This dataset identifies locations where these strategies could have the highest benefit\nto community health and make the most effective use of City investment.\n\nSF Public Works mapped a combination of environmental and health data to identify the priority zones. The study layers exposure to fine particulate matter (PM2.5), satellite temperature readings from a recent heat wave, and tree canopy data to identify where exposure is the highest. To further refine the prioritization zone, data was added for residents experiencing asthma or diabetes hospitalizations\nwhich are both exacerbated by heat and air quality issues. \n\nThis created two final maps focused on heat and air quality that combine environmental data and human health. These maps were combined to produce the final priority zones.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/6d254ee6-5c2a-4d45-aab6-d337b3ccbd8a","harvest_record_raw":"https://catalog.data.gov/harvest_record/6d254ee6-5c2a-4d45-aab6-d337b3ccbd8a/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/nn26-kuy2","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:20.108177","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"haqr-priority-green-infrastructure-zones","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"HAQR Priority Green Infrastructure Zones","type":"dataset"},{"_score":18.826874,"_sort":[1788375379281,18.826874,1,"0c3f839e-d5e9-4859-b707-e5417fb99741"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nCase information on COVID-19 Laboratory testing. This data includes a daily count of test results reported, and how many of those were positive, negative, and indeterminate. Reported tests include tests with a positive, negative or indeterminate result. Indeterminate results, which could not conclusively determine whether COVID-19 virus was present, are not included in the calculation of percent positive. Testing for the novel coronavirus is available through commercial, clinical, and hospital laboratories, as well as the SFDPH Public Health Laboratory.\n\nTests are de-duplicated by an individual and date. This means that if a person gets tested multiple times on different dates in the last 30 days, all of those individual tests will be included in this data as individual tests (on each specimen collection date).\n\n<strong>Total positive test results is not equal to the total number of COVID-19 cases in San Francisco.</strong>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nLaboratory test volume and positivity for COVID-19 is based on electronic laboratory test reports. Deduplication, quality assurance measures and other data verification processes maximize accuracy of laboratory test information.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 05:00 Pacific Time each day. A redundant run is scheduled at 09:00 in case of pipeline failure. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nDue to the high degree of variation in the time needed to complete tests by different labs there is a delay in this reporting. On March 24 the Health Officer ordered all labs in the City to report complete COVID-19 testing information to the local and state health departments. In order to track trends over time, a data user can analyze this data by \"result_date\" and see how the count of reported results and positivity rate have changed over time.\n\n<strong>E. CHANGE LOG</strong>\n<UL><LI>10/28/2025 - Updated the COVID-19 testing dataset to correct an error in historical data submissions. This will result in changes to testing volume and positivity over time.\n<LI>4/10/2024 - An issue with our testing data was identified and corrected leading to a small increase in testing records over time. \n<LI>6/21/2023 - A small number of additional COVID-19 testing records were released as part of our ongoing data cleaning efforts. \n<LI>1/31/2023 - renamed column \u201clast_updated_at\u201d to \u201cdata_as_of\u201d. \n<LI>1/31/2023 - added columns \u201ccumulative_tests\u201d, \u201ccumulative_positive_tests\u201d, \u201ccumulative_negative_tests\u201d, \u201ccumulative_indeterminate_tests\u201d. \n<LI>4/16/2021 - dataset updated to refresh with a five-day data lag.</UL>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nfpa-mg4g/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/nfpa-mg4g/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/nfpa-mg4g/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/nfpa-mg4g/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/nfpa-mg4g/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/nfpa-mg4g","issued":"2023-01-31","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/nfpa-mg4g","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"COVID-19 Testing Over Time"},"description":"<strong>A. SUMMARY</strong>\nCase information on COVID-19 Laboratory testing. This data includes a daily count of test results reported, and how many of those were positive, negative, and indeterminate. Reported tests include tests with a positive, negative or indeterminate result. Indeterminate results, which could not conclusively determine whether COVID-19 virus was present, are not included in the calculation of percent positive. Testing for the novel coronavirus is available through commercial, clinical, and hospital laboratories, as well as the SFDPH Public Health Laboratory.\n\nTests are de-duplicated by an individual and date. This means that if a person gets tested multiple times on different dates in the last 30 days, all of those individual tests will be included in this data as individual tests (on each specimen collection date).\n\n<strong>Total positive test results is not equal to the total number of COVID-19 cases in San Francisco.</strong>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nLaboratory test volume and positivity for COVID-19 is based on electronic laboratory test reports. Deduplication, quality assurance measures and other data verification processes maximize accuracy of laboratory test information.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 05:00 Pacific Time each day. A redundant run is scheduled at 09:00 in case of pipeline failure. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nDue to the high degree of variation in the time needed to complete tests by different labs there is a delay in this reporting. On March 24 the Health Officer ordered all labs in the City to report complete COVID-19 testing information to the local and state health departments. In order to track trends over time, a data user can analyze this data by \"result_date\" and see how the count of reported results and positivity rate have changed over time.\n\n<strong>E. CHANGE LOG</strong>\n<UL><LI>10/28/2025 - Updated the COVID-19 testing dataset to correct an error in historical data submissions. This will result in changes to testing volume and positivity over time.\n<LI>4/10/2024 - An issue with our testing data was identified and corrected leading to a small increase in testing records over time. \n<LI>6/21/2023 - A small number of additional COVID-19 testing records were released as part of our ongoing data cleaning efforts. \n<LI>1/31/2023 - renamed column \u201clast_updated_at\u201d to \u201cdata_as_of\u201d. \n<LI>1/31/2023 - added columns \u201ccumulative_tests\u201d, \u201ccumulative_positive_tests\u201d, \u201ccumulative_negative_tests\u201d, \u201ccumulative_indeterminate_tests\u201d. \n<LI>4/16/2021 - dataset updated to refresh with a five-day data lag.</UL>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/c384cff2-9919-4da2-857e-cc65d4f8a297","harvest_record_raw":"https://catalog.data.gov/harvest_record/c384cff2-9919-4da2-857e-cc65d4f8a297/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/nfpa-mg4g","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:19.281303","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"covid-19-testing-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"COVID-19 Testing Over Time","type":"dataset"},{"_score":47.132065,"_sort":[1788375377242,47.132065,0,"0b853fec-f217-4114-8602-e466278247e3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<STRONG>A. SUMMARY</STRONG>\nThis dataset contains information of Mental Health (MH) and Substance Use Disorder (SUD) programs / sites. It serves as provider directory for the general public to know and search for MH and SUD programs / sites contracted with the City and County of San Francisco. \n\n<STRONG>B. HOW THE DATASET IS CREATED</STRONG>\nThe dataset is pulled from our electronic systems. \n\n<STRONG>C. UPDATE PROCESS</STRONG>\nThe dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking. \n\n<STRONG>D. HOW TO USE THIS DATASET</STRONG>\nThere are filters for some data fields for quick search. For example, if we want to search all MH and SUD programs that serve women, we would use the Gender filter and select \u201cWomen\u201d and \u201cAll\u201d.\n\n<STRONG>E. RELATED DATASETS</STRONG>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/msn5-73h7/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/msn5-73h7/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/msn5-73h7/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/msn5-73h7/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/msn5-73h7/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/msn5-73h7","issued":"2024-12-19","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/msn5-73h7","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-02","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Mental Health (MH) and Substance Use Disorder (SUD) Provider Directory - Provider List"},"description":"<STRONG>A. SUMMARY</STRONG>\nThis dataset contains information of Mental Health (MH) and Substance Use Disorder (SUD) programs / sites. It serves as provider directory for the general public to know and search for MH and SUD programs / sites contracted with the City and County of San Francisco. \n\n<STRONG>B. HOW THE DATASET IS CREATED</STRONG>\nThe dataset is pulled from our electronic systems. \n\n<STRONG>C. UPDATE PROCESS</STRONG>\nThe dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking. \n\n<STRONG>D. HOW TO USE THIS DATASET</STRONG>\nThere are filters for some data fields for quick search. For example, if we want to search all MH and SUD programs that serve women, we would use the Gender filter and select \u201cWomen\u201d and \u201cAll\u201d.\n\n<STRONG>E. RELATED DATASETS</STRONG>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/447ed252-6c5f-44e6-94b7-6d01d3e8a791","harvest_record_raw":"https://catalog.data.gov/harvest_record/447ed252-6c5f-44e6-94b7-6d01d3e8a791/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/msn5-73h7","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:17.242032","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"mental-health-mh-and-substance-use-disorder-sud-provider-directory-provider-list","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Mental Health (MH) and Substance Use Disorder (SUD) Provider Directory - Provider List","type":"dataset"},{"_score":14.861448,"_sort":[1788375374854,14.861448,0,"6f92b2da-3612-4742-b575-cd5ef33754cc"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset shows San Francisco COVID-19 deaths by population characteristics. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available.\u202fBecause of this, death totals may increase or decrease.  \n\nPopulation characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAs of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">Council of State and Territorial Epidemiologists</a>. Death certificates are maintained by the California Department of Public Health.\n\nData on the population characteristics of COVID-19 deaths are from: \n*Case reports \n*Medical records \n*Electronic lab reports \n*Death certificates \n\nData are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths. \n\nTo protect resident privacy, we summarize COVID-19 data by only one population characteristic at a time. Data are not shown until cumulative citywide deaths reach five or more. \n \nData notes on select population characteristic types are listed below.\n\n<u> Race/ethnicity</u> \n* We include all race/ethnicity categories that are collected for COVID-19 cases.\n\n<u>Gender</u>\n* The City collects information on gender identity using <u><a href=\"https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf\">these guidelines</a></u>.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.\n\nDataset will not update on the business day following any federal holiday.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nPopulation estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\"https://data.sfgov.org/d/cedd-86uf\">dataset based on the San Francisco Population and Demographic Census dataset</a>.These population estimates are from the 2018-2022 5-year American Community Survey (ACS).\n\nThis dataset includes several characteristic types. Filter the \u201cCharacteristic Type\u201d column to explore a topic area. Then, the \u201cCharacteristic Group\u201d column shows each group or category within that topic area and the number of cumulative deaths. \n\nCumulative deaths are the running total of all San Francisco COVID-19 deaths in that characteristic group up to the date listed.\n\nTo explore data on the total number of deaths, use <u><a href=\"https://data.sfgov.org/COVID-19/COVID-19-Deaths-Over-Time/g2di-xufg\">the COVID-19 Deaths Over Time dataset</a></u>.\n\n<strong>E. CHANGE LOG</strong>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/kv9m-37qh/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/kv9m-37qh/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/kv9m-37qh/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/kv9m-37qh/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/kv9m-37qh/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/kv9m-37qh","issued":"2024-06-13","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/kv9m-37qh","modified":"2026-08-27","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"COVID-19 Deaths by Population Characteristics"},"description":"<strong>A. SUMMARY</strong>\nThis dataset shows San Francisco COVID-19 deaths by population characteristics. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available.\u202fBecause of this, death totals may increase or decrease.  \n\nPopulation characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAs of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">Council of State and Territorial Epidemiologists</a>. Death certificates are maintained by the California Department of Public Health.\n\nData on the population characteristics of COVID-19 deaths are from: \n*Case reports \n*Medical records \n*Electronic lab reports \n*Death certificates \n\nData are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths. \n\nTo protect resident privacy, we summarize COVID-19 data by only one population characteristic at a time. Data are not shown until cumulative citywide deaths reach five or more. \n \nData notes on select population characteristic types are listed below.\n\n<u> Race/ethnicity</u> \n* We include all race/ethnicity categories that are collected for COVID-19 cases.\n\n<u>Gender</u>\n* The City collects information on gender identity using <u><a href=\"https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf\">these guidelines</a></u>.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.\n\nDataset will not update on the business day following any federal holiday.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nPopulation estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\"https://data.sfgov.org/d/cedd-86uf\">dataset based on the San Francisco Population and Demographic Census dataset</a>.These population estimates are from the 2018-2022 5-year American Community Survey (ACS).\n\nThis dataset includes several characteristic types. Filter the \u201cCharacteristic Type\u201d column to explore a topic area. Then, the \u201cCharacteristic Group\u201d column shows each group or category within that topic area and the number of cumulative deaths. \n\nCumulative deaths are the running total of all San Francisco COVID-19 deaths in that characteristic group up to the date listed.\n\nTo explore data on the total number of deaths, use <u><a href=\"https://data.sfgov.org/COVID-19/COVID-19-Deaths-Over-Time/g2di-xufg\">the COVID-19 Deaths Over Time dataset</a></u>.\n\n<strong>E. CHANGE LOG</strong>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/9373df2d-2d64-4cef-bce0-d4611218c0b4","harvest_record_raw":"https://catalog.data.gov/harvest_record/9373df2d-2d64-4cef-bce0-d4611218c0b4/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/kv9m-37qh","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:14.854256","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"covid-19-deaths-by-population-characteristics","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"COVID-19 Deaths by Population Characteristics","type":"dataset"},{"_score":16.237303,"_sort":[1788375374378,16.237303,0,"f4c21943-f523-4069-805d-a600ea9171aa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>As of July 2nd, 2024 the COVID-19 Deaths by Population Characteristics Over Time dataset has been retired. This dataset is archived and will no longer update. We will be publishing a <u><a href=\"https://data.sfgov.org/Health-and-Social-Services/COVID-19-Deaths-by-Population-Characteristics/kv9m-37qh/about_data\">cumulative deaths by population characteristics dataset</a></u> that will update moving forward.\n\nA. SUMMARY</strong>\nThis dataset shows San Francisco COVID-19 deaths by population characteristics and by date. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available.\u202fBecause of this, death totals for previous days may increase or decrease. More recent data is less reliable.\n\nPopulation characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAs of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">Council of State and Territorial Epidemiologists</a>. Death certificates are maintained by the California Department of Public Health.\n\nData on the population characteristics of COVID-19 deaths are from: \n*Case reports \n*Medical records \n*Electronic lab reports \n*Death certificates \n\nData are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths. \n\nTo protect resident privacy, we summarize COVID-19 data by only one characteristic at a time. Data are not shown until cumulative citywide deaths reach five or more. \n \nData notes on each population characteristic type is listed below.\n\n<u> Race/ethnicity</u> \n* We include all race/ethnicity categories that are collected for COVID-19 cases.\n\n<u>Gender</u>\n* The City collects information on gender identity using <u><a href=\"https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf\">these guidelines</a></u>.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.\n\nDataset will not update on the business day following any federal holiday.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nPopulation estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\"https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nThis dataset includes many different types of characteristics. Filter the \u201cCharacteristic Type\u201d column to explore a topic area. Then, the \u201cCharacteristic Group\u201d column shows each group or category within that topic area and the number of deaths on each date. \n\nNew deaths are the count of deaths within that characteristic group on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths in that characteristic group up to the date listed.\n\nThis data may not be immediately available for more recent deaths. Data updates as more information becomes available. \n\nTo explore data on the total number of deaths, use <u><a href=\"https://data.sfgov.org/COVID-19/COVID-19-Deaths-Over-Time/g2di-xufg\">the COVID-19 Deaths Over Time dataset</a></u>.\n\n<strong>E. CHANGE LOG</strong> \n<UL><LI>9/11/2023 - on this date, we began using an updated definition of a COVID-19 death to align with the California Department o","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/kkr3-wq7h/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/kkr3-wq7h/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/kkr3-wq7h/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/kkr3-wq7h/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/kkr3-wq7h/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/kkr3-wq7h","issued":"2023-01-31","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/kkr3-wq7h","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-02-18","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"[Archived] COVID-19 Deaths by Population Characteristics Over Time"},"description":"<strong>As of July 2nd, 2024 the COVID-19 Deaths by Population Characteristics Over Time dataset has been retired. This dataset is archived and will no longer update. We will be publishing a <u><a href=\"https://data.sfgov.org/Health-and-Social-Services/COVID-19-Deaths-by-Population-Characteristics/kv9m-37qh/about_data\">cumulative deaths by population characteristics dataset</a></u> that will update moving forward.\n\nA. SUMMARY</strong>\nThis dataset shows San Francisco COVID-19 deaths by population characteristics and by date. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available.\u202fBecause of this, death totals for previous days may increase or decrease. More recent data is less reliable.\n\nPopulation characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAs of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">Council of State and Territorial Epidemiologists</a>. Death certificates are maintained by the California Department of Public Health.\n\nData on the population characteristics of COVID-19 deaths are from: \n*Case reports \n*Medical records \n*Electronic lab reports \n*Death certificates \n\nData are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths. \n\nTo protect resident privacy, we summarize COVID-19 data by only one characteristic at a time. Data are not shown until cumulative citywide deaths reach five or more. \n \nData notes on each population characteristic type is listed below.\n\n<u> Race/ethnicity</u> \n* We include all race/ethnicity categories that are collected for COVID-19 cases.\n\n<u>Gender</u>\n* The City collects information on gender identity using <u><a href=\"https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf\">these guidelines</a></u>.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.\n\nDataset will not update on the business day following any federal holiday.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nPopulation estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\"https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nThis dataset includes many different types of characteristics. Filter the \u201cCharacteristic Type\u201d column to explore a topic area. Then, the \u201cCharacteristic Group\u201d column shows each group or category within that topic area and the number of deaths on each date. \n\nNew deaths are the count of deaths within that characteristic group on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths in that characteristic group up to the date listed.\n\nThis data may not be immediately available for more recent deaths. Data updates as more information becomes available. \n\nTo explore data on the total number of deaths, use <u><a href=\"https://data.sfgov.org/COVID-19/COVID-19-Deaths-Over-Time/g2di-xufg\">the COVID-19 Deaths Over Time dataset</a></u>.\n\n<strong>E. CHANGE LOG</strong> \n<UL><LI>9/11/2023 - on this date, we began using an updated definition of a COVID-19 death to align with the California Department o","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/3dce9e7a-248b-4a78-93d7-14b4a200e6f4","harvest_record_raw":"https://catalog.data.gov/harvest_record/3dce9e7a-248b-4a78-93d7-14b4a200e6f4/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/kkr3-wq7h","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:14.378126","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"archived-covid-19-deaths-by-population-characteristics-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"[Archived] COVID-19 Deaths by Population Characteristics Over Time","type":"dataset"},{"_score":13.683061,"_sort":[1788375374148,13.683061,0,"2f00441b-197d-40e5-9c81-c79e86b752ff"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes San Francisco COVID-19 tests by race/ethnicity and by date. This dataset represents the daily count of tests collected, and the breakdown of test results (positive, negative, or indeterminate). Tests in this dataset include all those collected from persons who listed San Francisco as their home address at the time of testing. It also includes tests that were collected by San Francisco providers for persons who were missing a locating address. This dataset does not include tests for residents listing a locating address outside of San Francisco, even if they were tested in San Francisco. \n\nThe data were de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected). If a person tested multiple times on the same date, only one test is included from that date. When there are multiple tests on the same date, a positive result, if one exists, will always be selected as the record for the person. If a PCR and antigen test are taken on the same day, the PCR test will supersede. If a person tests multiple times on the same day and the results are all the same (e.g. all negative or all positive) then the first test done is selected as the record for the person.\n\n<strong>The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco.</strong>\n\nWhen a person gets tested for COVID-19, they may be asked to report information about themselves. One piece of information that might be requested is a person's race and ethnicity. These data are often incomplete in the laboratory and provider reports of the test results sent to the health department. The data can be missing or incomplete for several possible reasons:\n\n\t\u2022 The person was not asked about their race and ethnicity.\n\t\u2022 The person was asked, but refused to answer.\n\t\u2022 The person answered, but the testing provider did not include the person's answers in the reports.\n\t\u2022 The testing provider reported the person's answers in a format that could not be used by the health department.\n\nFor any of these reasons, a person's race/ethnicity will be recorded in the dataset as \u201cUnknown.\u201d\n\n<strong>B. NOTE ON RACE/ETHNICITY</strong>\nThe different values for Race/Ethnicity in this dataset are \"Asian;\" \"Black or African             American;\" \"Hispanic or Latino/a, all races;\" \"American Indian or Alaska Native;\" \"Native                           Hawaiian or Other Pacific Islander;\" \"White;\" \"Multi-racial;\" \"Other;\" and \u201cUnknown.\"\n\nThe Race/Ethnicity categorization increases data clarity by emulating the methodology used by the U.S. Census in the American Community Survey. Specifically, persons who identify as \"Asian,\" \"Black or African American,\" \"American Indian or Alaska Native,\" \"Native Hawaiian or Other Pacific Islander,\" \"White,\" \"Multi-racial,\" or \"Other\" do NOT include any person who identified as Hispanic/Latino at any time in their testing reports that either (1) identified them as SF residents or (2) as someone who tested without a locating address by an SF provider. All persons across all races who identify as Hispanic/Latino are recorded as \u201c\"Hispanic or Latino/a, all races.\" This categorization increases data accuracy by correcting the way \u201cOther\u201d persons were counted. Previously, when a person reported \u201cOther\u201d for Race/Ethnicity, they would be recorded \u201cUnknown.\u201d Under the new categorization, they are counted as \u201cOther\u201d and are distinct from \u201cUnknown.\u201d\n\nIf a person records their race/ethnicity as \u201cAsian,\u201d \u201cBlack or African American,\u201d \u201cAmerican Indian or Alaska Native,\u201d \u201cNative Hawaiian or Other Pacific Islander,\u201d \u201cWhite,\u201d or \u201cOther\u201d for their first COVID-19 test, then this data will not change\u2014even if a different race/ethnicity is reported for this person for any future COVID-19 test. There are two exceptions to this rule. The first exception is if a person\u2019s race/ethnicity value i","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/kja3-qsky/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/kja3-qsky/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/kja3-qsky/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/kja3-qsky/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/kja3-qsky/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/kja3-qsky","issued":"2023-01-31","keyword":["covid","covid-19","covid19 testing","ethnicity","lab testing","race","race/ethnicity","test","testing"],"landingPage":"https://data.sf.gov/d/kja3-qsky","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-06-06","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Testing by Race/Ethnicity Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes San Francisco COVID-19 tests by race/ethnicity and by date. This dataset represents the daily count of tests collected, and the breakdown of test results (positive, negative, or indeterminate). Tests in this dataset include all those collected from persons who listed San Francisco as their home address at the time of testing. It also includes tests that were collected by San Francisco providers for persons who were missing a locating address. This dataset does not include tests for residents listing a locating address outside of San Francisco, even if they were tested in San Francisco. \n\nThe data were de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected). If a person tested multiple times on the same date, only one test is included from that date. When there are multiple tests on the same date, a positive result, if one exists, will always be selected as the record for the person. If a PCR and antigen test are taken on the same day, the PCR test will supersede. If a person tests multiple times on the same day and the results are all the same (e.g. all negative or all positive) then the first test done is selected as the record for the person.\n\n<strong>The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco.</strong>\n\nWhen a person gets tested for COVID-19, they may be asked to report information about themselves. One piece of information that might be requested is a person's race and ethnicity. These data are often incomplete in the laboratory and provider reports of the test results sent to the health department. The data can be missing or incomplete for several possible reasons:\n\n\t\u2022 The person was not asked about their race and ethnicity.\n\t\u2022 The person was asked, but refused to answer.\n\t\u2022 The person answered, but the testing provider did not include the person's answers in the reports.\n\t\u2022 The testing provider reported the person's answers in a format that could not be used by the health department.\n\nFor any of these reasons, a person's race/ethnicity will be recorded in the dataset as \u201cUnknown.\u201d\n\n<strong>B. NOTE ON RACE/ETHNICITY</strong>\nThe different values for Race/Ethnicity in this dataset are \"Asian;\" \"Black or African             American;\" \"Hispanic or Latino/a, all races;\" \"American Indian or Alaska Native;\" \"Native                           Hawaiian or Other Pacific Islander;\" \"White;\" \"Multi-racial;\" \"Other;\" and \u201cUnknown.\"\n\nThe Race/Ethnicity categorization increases data clarity by emulating the methodology used by the U.S. Census in the American Community Survey. Specifically, persons who identify as \"Asian,\" \"Black or African American,\" \"American Indian or Alaska Native,\" \"Native Hawaiian or Other Pacific Islander,\" \"White,\" \"Multi-racial,\" or \"Other\" do NOT include any person who identified as Hispanic/Latino at any time in their testing reports that either (1) identified them as SF residents or (2) as someone who tested without a locating address by an SF provider. All persons across all races who identify as Hispanic/Latino are recorded as \u201c\"Hispanic or Latino/a, all races.\" This categorization increases data accuracy by correcting the way \u201cOther\u201d persons were counted. Previously, when a person reported \u201cOther\u201d for Race/Ethnicity, they would be recorded \u201cUnknown.\u201d Under the new categorization, they are counted as \u201cOther\u201d and are distinct from \u201cUnknown.\u201d\n\nIf a person records their race/ethnicity as \u201cAsian,\u201d \u201cBlack or African American,\u201d \u201cAmerican Indian or Alaska Native,\u201d \u201cNative Hawaiian or Other Pacific Islander,\u201d \u201cWhite,\u201d or \u201cOther\u201d for their first COVID-19 test, then this data will not change\u2014even if a different race/ethnicity is reported for this person for any future COVID-19 test. There are two exceptions to this rule. The first exception is if a person\u2019s race/ethnicity value i","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/4eb90ef5-7be4-4677-9262-8f6325023ad1","harvest_record_raw":"https://catalog.data.gov/harvest_record/4eb90ef5-7be4-4677-9262-8f6325023ad1/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/kja3-qsky","keyword":["covid","covid-19","covid19 testing","ethnicity","lab testing","race","race/ethnicity","test","testing"],"last_harvested_date":"2026-09-02T18:56:14.148480","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"archived-covid-19-testing-by-race-ethnicity-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Testing by Race/Ethnicity Over Time","type":"dataset"},{"_score":19.084633,"_sort":[1788375372957,19.084633,4,"12d2d774-8e91-4213-8147-7ba267cf387e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset includes unintentional drug overdose death rates by race/ethnicity by year. This dataset is created using data from the California Electronic Death Registration System (CA-EDRS) via the Vital Records Business Intelligence System (VRBIS). Substance-related deaths are identified by reviewing the cause of death. Deaths caused by opioids, methamphetamine, and cocaine are included. Homicides and suicides are excluded. Ethnic and racial groups with fewer than 10 events are not tallied separately for privacy reasons but are included in the \u201call races\u201d total.   \n\nUnintentional drug overdose death rates are calculated by dividing the total number of overdose deaths by race/ethnicity by the total population size for that demographic group and year and then multiplying by 100,000. The total population size is based on estimates from the <u><a href=\"https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-detail.html\">US Census Bureau County Population Characteristics for San Francisco, 2022 Vintage</a></u> by age, sex, race, and Hispanic origin. \n\nThese data differ from the data shared in the <u><a href=\"https://data.sfgov.org/dataset/Preliminary-Accidental-Drug-Overdose-Deaths/jxrr-bmra\"> Preliminary Unintentional Drug Overdose Death by Year dataset </a></u> since this dataset uses finalized counts of overdose deaths associated with cocaine, methamphetamine, and opioids only.  \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThis dataset is created by copying data from the <u><a href=\"https://www.csuhsf.org/substance-use-trends-san-francisco\">Annual Substance Use Trends in San Francisco report</a></u> from the San Francisco Department of Public Health Center on Substance Use and Health. \n\n<strong>C. UPDATE PROCESS</strong> \nThis dataset will be updated annually, typically at the end of the year. \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nN/A  \n\n<strong>E. RELATED DATASETS</strong> \n<u><a href=\"https://data.sfgov.org/d/ed3a-sn39\">Overdose-Related 911 Responses by Emergency Medical Services</a></u> \n<u><a href=\"https://data.sfgov.org/d/jxrr-bmra\">Preliminary Unintentional Drug Overdose Deaths</a></u> \n<u><a href=\"https://data.sfgov.org/d/ubf6-e57x\">San Francisco Department of Public Health Substance Use Services</a></u>\n\n<strong>F. CHANGE LOG</strong> \n<UL><LI>12/16/2024 - Updated with 2023 data. Asian/Pacific Islander race/ethnicity group was changed to Asian. \n<LI>12/16/2024 - Past year totals by race/ethnicity were revised after obtaining accurate race/ethnicity for some decedents that were previously marked as \u201cunknown\u201d race/ethnicity.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/k4g8-b3sf/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/k4g8-b3sf/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/k4g8-b3sf/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/k4g8-b3sf/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/k4g8-b3sf/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/k4g8-b3sf","issued":"2023-09-14","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/k4g8-b3sf","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-08-15","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Unintentional Drug Overdose Death Rate by Race/Ethnicity"},"description":"<strong>A. SUMMARY</strong> \nThis dataset includes unintentional drug overdose death rates by race/ethnicity by year. This dataset is created using data from the California Electronic Death Registration System (CA-EDRS) via the Vital Records Business Intelligence System (VRBIS). Substance-related deaths are identified by reviewing the cause of death. Deaths caused by opioids, methamphetamine, and cocaine are included. Homicides and suicides are excluded. Ethnic and racial groups with fewer than 10 events are not tallied separately for privacy reasons but are included in the \u201call races\u201d total.   \n\nUnintentional drug overdose death rates are calculated by dividing the total number of overdose deaths by race/ethnicity by the total population size for that demographic group and year and then multiplying by 100,000. The total population size is based on estimates from the <u><a href=\"https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-detail.html\">US Census Bureau County Population Characteristics for San Francisco, 2022 Vintage</a></u> by age, sex, race, and Hispanic origin. \n\nThese data differ from the data shared in the <u><a href=\"https://data.sfgov.org/dataset/Preliminary-Accidental-Drug-Overdose-Deaths/jxrr-bmra\"> Preliminary Unintentional Drug Overdose Death by Year dataset </a></u> since this dataset uses finalized counts of overdose deaths associated with cocaine, methamphetamine, and opioids only.  \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThis dataset is created by copying data from the <u><a href=\"https://www.csuhsf.org/substance-use-trends-san-francisco\">Annual Substance Use Trends in San Francisco report</a></u> from the San Francisco Department of Public Health Center on Substance Use and Health. \n\n<strong>C. UPDATE PROCESS</strong> \nThis dataset will be updated annually, typically at the end of the year. \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nN/A  \n\n<strong>E. RELATED DATASETS</strong> \n<u><a href=\"https://data.sfgov.org/d/ed3a-sn39\">Overdose-Related 911 Responses by Emergency Medical Services</a></u> \n<u><a href=\"https://data.sfgov.org/d/jxrr-bmra\">Preliminary Unintentional Drug Overdose Deaths</a></u> \n<u><a href=\"https://data.sfgov.org/d/ubf6-e57x\">San Francisco Department of Public Health Substance Use Services</a></u>\n\n<strong>F. CHANGE LOG</strong> \n<UL><LI>12/16/2024 - Updated with 2023 data. Asian/Pacific Islander race/ethnicity group was changed to Asian. \n<LI>12/16/2024 - Past year totals by race/ethnicity were revised after obtaining accurate race/ethnicity for some decedents that were previously marked as \u201cunknown\u201d race/ethnicity.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/b79d3017-489d-465c-b2cd-d3397a763aa5","harvest_record_raw":"https://catalog.data.gov/harvest_record/b79d3017-489d-465c-b2cd-d3397a763aa5/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/k4g8-b3sf","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:12.957831","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":4,"publisher":"data.sf.gov","slug":"unintentional-drug-overdose-death-rate-by-race-ethnicity","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Unintentional Drug Overdose Death Rate by Race/Ethnicity","type":"dataset"},{"_score":16.851044,"_sort":[1788375371964,16.851044,0,"3f5cd115-e221-429c-87ee-fea2927491f4"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \n This dataset includes data from the <u><a href=\" https://sf.gov/resource/2020/ocme-accidental-overdose-reports\">Office of the Chief Medical Examiner</a></u> on the number of preliminary unintentional fatal drug overdoses per month.  \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThe Office of the Chief Medical Examiner releases a monthly report containing the previous month\u2019s preliminary count of unintentional fatal drug overdoses. This dataset is manually updated based on that report. \n\nThe San Francisco Office of the Chief Medical Examiner (OCME) investigates any unknown cause of death for deaths that occur in San Francisco. OCME uses drug testing, death scene investigation, autopsy, medical record, and informant information to determine the cause of death. Preliminary determinations are generally based on drug testing and death scene investigations. \n\nPreliminary deaths reported by the medical examiner consist of two categories: (a) cases that are still under investigation and involve suspected acute toxicity from opioids, cocaine, or methamphetamine; and (b) cases that have been finalized and were attributed to acute toxicity from any substance (including prescribed medication and over-the-counter medication).  \n\n<strong>C. UPDATE PROCESS</strong> \nThis dataset is updated monthly following the release of the monthly accidental fatal drug overdose report from the Office of the Chief Medical Examiner. Department of Public Health staff manually copy data from the Office of the Chief Medical Examiner\u2019s report to update this dataset.  \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nThis dataset is updated each month to include the most recent month\u2019s preliminary accidental fatal drug overdose count. Counts from previous months are often also updated as it can take more than a month for the Office of the Chief Medical Examiner to finish reviewing cases.  \n\n<strong>E. RELATED DATASETS</strong> \n<u><a href=\"https://data.sfgov.org/d/ubf6-e57x\">San Francisco Department of Public Health Substance Use Services</a></u> \n<u><a href=\"https://data.sfgov.org/d/ed3a-sn39\">Overdose-Related 911 Responses by Emergency Medical Services (EMS)</a></u> \n<u><a href=\"https://data.sfgov.org/d/k4g8-b3sf\">Unintentional Drug Overdose Death Rate by Race/Ethnicity</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/jxrr-bmra/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/jxrr-bmra/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/jxrr-bmra/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/jxrr-bmra/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/jxrr-bmra/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/jxrr-bmra","issued":"2023-09-18","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/jxrr-bmra","modified":"2026-08-17","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Preliminary Unintentional Drug Overdose Deaths"},"description":"<strong>A. SUMMARY</strong> \n This dataset includes data from the <u><a href=\" https://sf.gov/resource/2020/ocme-accidental-overdose-reports\">Office of the Chief Medical Examiner</a></u> on the number of preliminary unintentional fatal drug overdoses per month.  \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThe Office of the Chief Medical Examiner releases a monthly report containing the previous month\u2019s preliminary count of unintentional fatal drug overdoses. This dataset is manually updated based on that report. \n\nThe San Francisco Office of the Chief Medical Examiner (OCME) investigates any unknown cause of death for deaths that occur in San Francisco. OCME uses drug testing, death scene investigation, autopsy, medical record, and informant information to determine the cause of death. Preliminary determinations are generally based on drug testing and death scene investigations. \n\nPreliminary deaths reported by the medical examiner consist of two categories: (a) cases that are still under investigation and involve suspected acute toxicity from opioids, cocaine, or methamphetamine; and (b) cases that have been finalized and were attributed to acute toxicity from any substance (including prescribed medication and over-the-counter medication).  \n\n<strong>C. UPDATE PROCESS</strong> \nThis dataset is updated monthly following the release of the monthly accidental fatal drug overdose report from the Office of the Chief Medical Examiner. Department of Public Health staff manually copy data from the Office of the Chief Medical Examiner\u2019s report to update this dataset.  \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nThis dataset is updated each month to include the most recent month\u2019s preliminary accidental fatal drug overdose count. Counts from previous months are often also updated as it can take more than a month for the Office of the Chief Medical Examiner to finish reviewing cases.  \n\n<strong>E. RELATED DATASETS</strong> \n<u><a href=\"https://data.sfgov.org/d/ubf6-e57x\">San Francisco Department of Public Health Substance Use Services</a></u> \n<u><a href=\"https://data.sfgov.org/d/ed3a-sn39\">Overdose-Related 911 Responses by Emergency Medical Services (EMS)</a></u> \n<u><a href=\"https://data.sfgov.org/d/k4g8-b3sf\">Unintentional Drug Overdose Death Rate by Race/Ethnicity</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/e2e27f99-cb87-4cb5-ba64-ff4c7a5fdc44","harvest_record_raw":"https://catalog.data.gov/harvest_record/e2e27f99-cb87-4cb5-ba64-ff4c7a5fdc44/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/jxrr-bmra","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:11.964196","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"preliminary-unintentional-drug-overdose-deaths","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Preliminary Unintentional Drug Overdose Deaths","type":"dataset"},{"_score":18.332703,"_sort":[1788375370029,18.332703,0,"024a517d-cce3-4028-8420-0e4615527ac7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis archived dataset includes data for population characteristics that are no longer being reported publicly. The date on which each population characteristic type was archived can be found in the field \u201cdata_loaded_at\u201d.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nData on the population characteristics of COVID-19 cases are from:\u202f \n* Case interviews\u202f \n* Laboratories\u202f \n* Medical providers\u202f \n\u202f \nThese multiple streams of data are merged, deduplicated, and undergo data verification processes. \u202f\n\n<u> Race/ethnicity</u>\n* We include all race/ethnicity categories that are collected for COVID-19 cases.\n* The population estimates for the \"Other\" or \u201cMulti-racial\u201d groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups.\n\n<u> Gender</u>\n* The City collects information on gender identity using <a href=\"https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf\">these guidelines</a>. \n\n<u>Skilled Nursing Facility (SNF) occupancy</u>\n* A Skilled Nursing Facility (SNF) is a type of long-term care facility that provides care to individuals, generally in their 60s and older, who need functional assistance in their daily lives.\u202f \n* This dataset includes data for COVID-19 cases reported in Skilled Nursing Facilities (SNFs) through 12/31/2022, archived on 1/5/2023. These data were identified where \u201cCharacteristic_Type\u201d = \u2018Skilled Nursing Facility Occupancy\u2019. \n \n<u>Sexual orientation</u>\n* The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. \n* The City doesn\u2019t collect or report information about sexual orientation for persons under 12 years of age. \n* Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old.\u202f<a href = \"https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf\">Learn more about our data collection guidelines pertaining to sexual orientation</a>. \n \n<u>Comorbidities</u>\n* Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. \n \n<u>Homelessness</u>\nPersons are identified as homeless based on several data sources: \n* self-reported living situation \n* the location at the time of testing \n* Department of Public Health homelessness and health databases \n* Residents in Single-Room Occupancy hotels are not included in these figures. \nThese methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions. \n \n<u>Single Room Occupancy (SRO) tenancy</u>\n* SRO buildings are defined by the San Francisco Housing Code as having six or more \"residential guest rooms\" which may be attached to shared bathrooms, kitchens, and living spaces. \n* The details of a person's living arrangements are verified during case interviews. \n \n<u>Transmission Type</u>\n* Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown.\n\n<strong>C. UPDATE PROCESS</strong>\nThis dataset has been archived and will no longer update as of 9/11/2023.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nPopulation estimates are only available for age groups and race/ethnicity categories. San Francisco po","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/j7i3-u9ke/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/j7i3-u9ke/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/j7i3-u9ke/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/j7i3-u9ke/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/j7i3-u9ke/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/j7i3-u9ke","issued":"2021-06-17","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/j7i3-u9ke","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-02-18","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Cases by Population Characteristics Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis archived dataset includes data for population characteristics that are no longer being reported publicly. The date on which each population characteristic type was archived can be found in the field \u201cdata_loaded_at\u201d.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nData on the population characteristics of COVID-19 cases are from:\u202f \n* Case interviews\u202f \n* Laboratories\u202f \n* Medical providers\u202f \n\u202f \nThese multiple streams of data are merged, deduplicated, and undergo data verification processes. \u202f\n\n<u> Race/ethnicity</u>\n* We include all race/ethnicity categories that are collected for COVID-19 cases.\n* The population estimates for the \"Other\" or \u201cMulti-racial\u201d groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups.\n\n<u> Gender</u>\n* The City collects information on gender identity using <a href=\"https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf\">these guidelines</a>. \n\n<u>Skilled Nursing Facility (SNF) occupancy</u>\n* A Skilled Nursing Facility (SNF) is a type of long-term care facility that provides care to individuals, generally in their 60s and older, who need functional assistance in their daily lives.\u202f \n* This dataset includes data for COVID-19 cases reported in Skilled Nursing Facilities (SNFs) through 12/31/2022, archived on 1/5/2023. These data were identified where \u201cCharacteristic_Type\u201d = \u2018Skilled Nursing Facility Occupancy\u2019. \n \n<u>Sexual orientation</u>\n* The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. \n* The City doesn\u2019t collect or report information about sexual orientation for persons under 12 years of age. \n* Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old.\u202f<a href = \"https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf\">Learn more about our data collection guidelines pertaining to sexual orientation</a>. \n \n<u>Comorbidities</u>\n* Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. \n \n<u>Homelessness</u>\nPersons are identified as homeless based on several data sources: \n* self-reported living situation \n* the location at the time of testing \n* Department of Public Health homelessness and health databases \n* Residents in Single-Room Occupancy hotels are not included in these figures. \nThese methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions. \n \n<u>Single Room Occupancy (SRO) tenancy</u>\n* SRO buildings are defined by the San Francisco Housing Code as having six or more \"residential guest rooms\" which may be attached to shared bathrooms, kitchens, and living spaces. \n* The details of a person's living arrangements are verified during case interviews. \n \n<u>Transmission Type</u>\n* Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown.\n\n<strong>C. UPDATE PROCESS</strong>\nThis dataset has been archived and will no longer update as of 9/11/2023.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nPopulation estimates are only available for age groups and race/ethnicity categories. San Francisco po","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/a09db084-ddf8-49df-9332-de098919df7c","harvest_record_raw":"https://catalog.data.gov/harvest_record/a09db084-ddf8-49df-9332-de098919df7c/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/j7i3-u9ke","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:10.029690","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"archived-covid-19-cases-by-population-characteristics-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Cases by Population Characteristics Over Time","type":"dataset"},{"_score":9.702623,"_sort":[1788375369339,9.702623,0,"bccc1281-8def-4b12-bf12-056a6f66ddaf"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"A. SUMMARY\nThe Department of Public Health and the Mayor\u2019s Office of Housing and Community Development, with support from the Planning Department, created these 41 neighborhoods by grouping 2010 Census tracts, using common real estate and residents\u2019 definitions for the purpose of providing consistency in the analysis and reporting of socio-economic, demographic, and environmental data, and data on City-funded programs and services. These neighborhoods are not codified in Planning Code nor Administrative Code, although this map is referenced in Planning Code Section 415 as the \u201cAmerican Community Survey Neighborhood Profile Boundaries Map.\nNote: These are NOT statistical boundaries as they are not controlled for population size. This is also NOT an official map of neighborhood boundaries in SF but an aggregation of Census tracts and should be used in conjunction with other spatial boundaries for decision making.\nB. HOW THE DATASET IS CREATED\nThis dataset is produced by assigning Census tracts to neighborhoods based on existing neighborhood definitions used by Planning and MOHCD. A qualitative assessment is made to identify the appropriate neighborhood for a given tract based on understanding of population distribution and significant landmarks. Once all tracts have been assigned a neighborhood, the tracts are dissolved to produce this dataset, Analysis Neighborhoods.\nC. UPDATE PROCESS\nThis dataset is static. Changes to the analysis neighborhood boundaries will be evaluated as needed by the Analysis Neighborhood working group led by DataSF and the Planning department and includes staff from various other city departments. Contact us\nfor any questions.\nD. HOW TO USE THIS DATASET\nDownloading this dataset and opening it in Excel may cause some of the data values to be lost or not display properly (particularly the Analysis Neighborhood column). For a simple list of Analysis Neighborhoods without geographic coordinates, click here: https://data.sfgov.org/resource/xfcw-9evu.csv?$select=nhood\nE. RELATED DATASETS\n2020 Census tracts assigned a neighborhood\n2010 Census tracts assigned a neighborhood\n <u><a href=\"https://sfgov.maps.arcgis.com/home/item.html?id=09801373234345c4a8722aac1c141e78\">View this dataset on ArcGIS Online</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/j2bu-swwd/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/j2bu-swwd/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/j2bu-swwd/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/j2bu-swwd/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/j2bu-swwd/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/j2bu-swwd/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/j2bu-swwd/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/j2bu-swwd/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/j2bu-swwd","issued":"2023-10-17","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/j2bu-swwd","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-09-25","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Geographic Locations and Boundaries"],"title":"Analysis Neighborhoods"},"description":"A. SUMMARY\nThe Department of Public Health and the Mayor\u2019s Office of Housing and Community Development, with support from the Planning Department, created these 41 neighborhoods by grouping 2010 Census tracts, using common real estate and residents\u2019 definitions for the purpose of providing consistency in the analysis and reporting of socio-economic, demographic, and environmental data, and data on City-funded programs and services. These neighborhoods are not codified in Planning Code nor Administrative Code, although this map is referenced in Planning Code Section 415 as the \u201cAmerican Community Survey Neighborhood Profile Boundaries Map.\nNote: These are NOT statistical boundaries as they are not controlled for population size. This is also NOT an official map of neighborhood boundaries in SF but an aggregation of Census tracts and should be used in conjunction with other spatial boundaries for decision making.\nB. HOW THE DATASET IS CREATED\nThis dataset is produced by assigning Census tracts to neighborhoods based on existing neighborhood definitions used by Planning and MOHCD. A qualitative assessment is made to identify the appropriate neighborhood for a given tract based on understanding of population distribution and significant landmarks. Once all tracts have been assigned a neighborhood, the tracts are dissolved to produce this dataset, Analysis Neighborhoods.\nC. UPDATE PROCESS\nThis dataset is static. Changes to the analysis neighborhood boundaries will be evaluated as needed by the Analysis Neighborhood working group led by DataSF and the Planning department and includes staff from various other city departments. Contact us\nfor any questions.\nD. HOW TO USE THIS DATASET\nDownloading this dataset and opening it in Excel may cause some of the data values to be lost or not display properly (particularly the Analysis Neighborhood column). For a simple list of Analysis Neighborhoods without geographic coordinates, click here: https://data.sfgov.org/resource/xfcw-9evu.csv?$select=nhood\nE. RELATED DATASETS\n2020 Census tracts assigned a neighborhood\n2010 Census tracts assigned a neighborhood\n <u><a href=\"https://sfgov.maps.arcgis.com/home/item.html?id=09801373234345c4a8722aac1c141e78\">View this dataset on ArcGIS Online</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/5efb16d4-894b-4200-b260-dc36041d40cf","harvest_record_raw":"https://catalog.data.gov/harvest_record/5efb16d4-894b-4200-b260-dc36041d40cf/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/j2bu-swwd","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:09.339692","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"analysis-neighborhoods","spatial_centroid":null,"spatial_shape":null,"theme":["Geographic Locations and Boundaries"],"title":"Analysis Neighborhoods","type":"dataset"},{"_score":60.937,"_sort":[1788375368472,60.937,5,"9cbb11b2-00f6-4ac2-b363-d5dc71b878fa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>SUMMARY</strong>\nThis table contains data about women, ages 15 to 50, pregnant people, infants, children, and youths, up to age 24. It contains information about a wide range of health topics, including medical conditions, nutrition, dehydration, oral health, mental health, safety, access to health care, and basic needs, like housing. Local, county-level prevalence rates, time trends, and health disparities about national public health priorities, including preterm birth, infant death, childhood obesity, adolescent depression and substance use, and high blood pressure, diabetes, and kidney disease in young adults. \n\nThe population data is from the 2023-2024 San Francisco Maternal Child and Adolescent Health needs assessment and is published on the Open Data Portal to share with community partners, plan services, and promote health.\n\nFor more information see:\n<li><u><a href=\"https://www.sf.gov/departments--department-public-health--maternal-child-and-adolescent-health\">Maternal, Child, and Adolescent Health Homepage</a></u>\n<li><u><a href=\"https://www.sf.gov/health-conditions-of-women-children-and-adolescents-in-san-francisco\">Maternal, Child, and Adolescent Health Reports</a></u>\n\n<strong>HOW THE DATASET IS CREATED</strong>\nThe Maternal, Child, and Adolescent Health (MCAH) Needs Assessment for San Francisco included review of a wide range of citywide population data covering a ten-year span, from 2014 to 2023. Data from over 83,000 birth records, 59,000 death records, 261,000 emergency room visits, 66,000 hospital admissions, and 90,000 newborn screening discharges were gathered, along with citywide data from child welfare records, health screenings in childcare and schools, DMV records of first-time drivers, school surveys, and a state-run mailed survey of recent births (California Department of Public Health MIHA survey). The datasets provided information about approximately 700 health conditions. Each health condition was described in terms of the number of people affected or cases, and the rate affected, stratified by age, sex, race-ethnicity, insurance status, zip code, and time period. \n\nRates were calculated by dividing the number of people or events by the population group estimate (e.g., total births or census estimates), then multiplying by 100 or 1,000 depending on the measure. Each rate was presented with its 95% confidence interval to support users to compare any two rates, either between groups or over time. Two rates differ \u201csignificantly\u201d if their 95% confidence intervals do not overlap.\n\nThe present dataset summarizes the group-level results for any age-, sex-, race-, insurance-, zip code-, and/or period-specific group that included at least 20 people or cases. \n\nCauses of death, health conditions that affected over 1000 people in the time frame, problems that got worse over time, and health disparities by insurance, race-ethnicity and/or zip code were flagged for the MCAH Needs Assessment.\n\n<strong>UPDATE PROCESS</strong>\nThe dataset will be updated manually, bi-annually, each December and June.\n\n<strong>HOW TO USE THIS DATASET</strong>\nPopulation data from the MCAH needs assessment are shared in several formats, including aggregated datasets on DataSF.gov, downloadable PDF summary reports by age group, interactive online visualizations, data tables, trend graphs, and maps. \nInformation about each variable is available in a linked data dictionary. The definition of each numerator and denominator depends on data source, life stage, and time. \nHealth conditions may not be directly comparable across life stage, if the numerator definition includes age- or pregnancy-specific diagnosis codes (e.g. diabetes hospitalization).\n\nFor small groups or rare conditions, consider combining time periods and/or groups. Data are suppressed if fewer than 20 cases happened in the group and period.\n\nGroup-specific rates are available if the matched group-specific census estimates (denominator) were available. Census estim","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/iqtk-etij/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/iqtk-etij/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/iqtk-etij/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/iqtk-etij/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/iqtk-etij/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/iqtk-etij","issued":"2025-08-05","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/iqtk-etij","modified":"2025-08-07","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Maternal, Child, and Adolescent Health Needs Assessment, 2023-2024"},"description":"<strong>SUMMARY</strong>\nThis table contains data about women, ages 15 to 50, pregnant people, infants, children, and youths, up to age 24. It contains information about a wide range of health topics, including medical conditions, nutrition, dehydration, oral health, mental health, safety, access to health care, and basic needs, like housing. Local, county-level prevalence rates, time trends, and health disparities about national public health priorities, including preterm birth, infant death, childhood obesity, adolescent depression and substance use, and high blood pressure, diabetes, and kidney disease in young adults. \n\nThe population data is from the 2023-2024 San Francisco Maternal Child and Adolescent Health needs assessment and is published on the Open Data Portal to share with community partners, plan services, and promote health.\n\nFor more information see:\n<li><u><a href=\"https://www.sf.gov/departments--department-public-health--maternal-child-and-adolescent-health\">Maternal, Child, and Adolescent Health Homepage</a></u>\n<li><u><a href=\"https://www.sf.gov/health-conditions-of-women-children-and-adolescents-in-san-francisco\">Maternal, Child, and Adolescent Health Reports</a></u>\n\n<strong>HOW THE DATASET IS CREATED</strong>\nThe Maternal, Child, and Adolescent Health (MCAH) Needs Assessment for San Francisco included review of a wide range of citywide population data covering a ten-year span, from 2014 to 2023. Data from over 83,000 birth records, 59,000 death records, 261,000 emergency room visits, 66,000 hospital admissions, and 90,000 newborn screening discharges were gathered, along with citywide data from child welfare records, health screenings in childcare and schools, DMV records of first-time drivers, school surveys, and a state-run mailed survey of recent births (California Department of Public Health MIHA survey). The datasets provided information about approximately 700 health conditions. Each health condition was described in terms of the number of people affected or cases, and the rate affected, stratified by age, sex, race-ethnicity, insurance status, zip code, and time period. \n\nRates were calculated by dividing the number of people or events by the population group estimate (e.g., total births or census estimates), then multiplying by 100 or 1,000 depending on the measure. Each rate was presented with its 95% confidence interval to support users to compare any two rates, either between groups or over time. Two rates differ \u201csignificantly\u201d if their 95% confidence intervals do not overlap.\n\nThe present dataset summarizes the group-level results for any age-, sex-, race-, insurance-, zip code-, and/or period-specific group that included at least 20 people or cases. \n\nCauses of death, health conditions that affected over 1000 people in the time frame, problems that got worse over time, and health disparities by insurance, race-ethnicity and/or zip code were flagged for the MCAH Needs Assessment.\n\n<strong>UPDATE PROCESS</strong>\nThe dataset will be updated manually, bi-annually, each December and June.\n\n<strong>HOW TO USE THIS DATASET</strong>\nPopulation data from the MCAH needs assessment are shared in several formats, including aggregated datasets on DataSF.gov, downloadable PDF summary reports by age group, interactive online visualizations, data tables, trend graphs, and maps. \nInformation about each variable is available in a linked data dictionary. The definition of each numerator and denominator depends on data source, life stage, and time. \nHealth conditions may not be directly comparable across life stage, if the numerator definition includes age- or pregnancy-specific diagnosis codes (e.g. diabetes hospitalization).\n\nFor small groups or rare conditions, consider combining time periods and/or groups. Data are suppressed if fewer than 20 cases happened in the group and period.\n\nGroup-specific rates are available if the matched group-specific census estimates (denominator) were available. Census estim","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/75c2be10-a9c4-4b78-a805-14aaf50c50cf","harvest_record_raw":"https://catalog.data.gov/harvest_record/75c2be10-a9c4-4b78-a805-14aaf50c50cf/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/iqtk-etij","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:56:08.472224","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":5,"publisher":"data.sf.gov","slug":"maternal-child-and-adolescent-health-needs-assessment-2023-2024","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Maternal, Child, and Adolescent Health Needs Assessment, 2023-2024","type":"dataset"},{"_score":8.962542,"_sort":[1788375362518,8.962542,1,"24001f35-c366-4c34-9594-fca6f236acb0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>On 6/28/2023, data on cases by vaccination status will be archived and will no longer update.</strong>\n\n<strong>A. SUMMARY</strong>\nThis dataset represents San Francisco COVID-19 positive confirmed cases by vaccination status over time, starting January 1, 2021. Cases are included on the date the positive test was collected (the specimen collection date). Cases are counted in three categories: (1) all cases; (2) unvaccinated cases; and (3) completed primary series cases.\n\n1.\tAll cases: Includes cases among all San Francisco residents regardless of vaccination status.\n\n2.\tUnvaccinated cases: Cases are considered unvaccinated if their positive COVID-19 test was before receiving any vaccine. Cases that are not matched to a COVID-19 vaccination record are considered unvaccinated.\n\n3.\tCompleted primary series cases: Cases are considered completed primary series if their positive COVID-19 test was 14 days or more after they received their 2nd dose in a 2-dose COVID-19 series or the single dose of a 1-dose vaccine. These are also called \u201cbreakthrough cases.\u201d \n\nOn September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021. \n\nData is lagged by eight days, meaning the most recent specimen collection date included is eight days prior to today. All data updates daily as more information becomes available.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCase information is based on confirmed positive laboratory tests reported to the City. The City then completes quality assurance and other data verification processes.   Vaccination data comes from the California Immunization Registry (CAIR2). The California Department of Public Health runs CAIR2. Individual-level case and vaccination data are matched to identify cases by vaccination status in this dataset. Case records are matched to vaccine records using first name, last name, date of birth, phone number, and email address.    \n\nWe include vaccination records from all nine Bay Area counties in order to improve matching rates. This allows us to identify breakthrough cases among people who moved to the City from other Bay Area counties after completing their vaccine series. Only cases among San Francisco residents are included. \n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 08:00 AM Pacific Time each day. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nTotal San Francisco population estimates can be found in a <a href=\"https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). To identify total San Francisco population estimates, filter the view on \u201cdemographic_category_label\u201d = \u201call ages\u201d. \n\nPopulation estimates by vaccination status are derived from our publicly reported vaccination counts, which can be found at <a href=\"https://data.sfgov.org/d/rutu-rpar\"> COVID-19 Vaccinations Given to SF Residents Over Time</a>. \n\nThe dataset includes new cases, 7-day average new cases, new case rates, 7-day average new case rates, percent of total cases, and 7-day average percent of total cases for each vaccination category. \n\nNew cases are the count of cases where the positive tests were collected on that specific specimen collection date. The 7-day rolling average shows the trend in new cases. The rolling average is calculated by averaging the new cases for a particular day with the prior 6 days.\n\nNew case rates are the count of new cases per 100,000 residents in each vaccination status group. The 7-day rolling average shows the trend in case rates. The rolling average is calculated by averaging the case rate for a part","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/gqw3-444p/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/gqw3-444p/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/gqw3-444p/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/gqw3-444p/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/gqw3-444p/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/gqw3-444p","issued":"2023-01-31","keyword":["cases","covid","covid-19","vaccination","vaccines"],"landingPage":"https://data.sf.gov/d/gqw3-444p","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-02-18","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Cases by Vaccination Status Over Time"},"description":"<strong>On 6/28/2023, data on cases by vaccination status will be archived and will no longer update.</strong>\n\n<strong>A. SUMMARY</strong>\nThis dataset represents San Francisco COVID-19 positive confirmed cases by vaccination status over time, starting January 1, 2021. Cases are included on the date the positive test was collected (the specimen collection date). Cases are counted in three categories: (1) all cases; (2) unvaccinated cases; and (3) completed primary series cases.\n\n1.\tAll cases: Includes cases among all San Francisco residents regardless of vaccination status.\n\n2.\tUnvaccinated cases: Cases are considered unvaccinated if their positive COVID-19 test was before receiving any vaccine. Cases that are not matched to a COVID-19 vaccination record are considered unvaccinated.\n\n3.\tCompleted primary series cases: Cases are considered completed primary series if their positive COVID-19 test was 14 days or more after they received their 2nd dose in a 2-dose COVID-19 series or the single dose of a 1-dose vaccine. These are also called \u201cbreakthrough cases.\u201d \n\nOn September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021. \n\nData is lagged by eight days, meaning the most recent specimen collection date included is eight days prior to today. All data updates daily as more information becomes available.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCase information is based on confirmed positive laboratory tests reported to the City. The City then completes quality assurance and other data verification processes.   Vaccination data comes from the California Immunization Registry (CAIR2). The California Department of Public Health runs CAIR2. Individual-level case and vaccination data are matched to identify cases by vaccination status in this dataset. Case records are matched to vaccine records using first name, last name, date of birth, phone number, and email address.    \n\nWe include vaccination records from all nine Bay Area counties in order to improve matching rates. This allows us to identify breakthrough cases among people who moved to the City from other Bay Area counties after completing their vaccine series. Only cases among San Francisco residents are included. \n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 08:00 AM Pacific Time each day. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nTotal San Francisco population estimates can be found in a <a href=\"https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). To identify total San Francisco population estimates, filter the view on \u201cdemographic_category_label\u201d = \u201call ages\u201d. \n\nPopulation estimates by vaccination status are derived from our publicly reported vaccination counts, which can be found at <a href=\"https://data.sfgov.org/d/rutu-rpar\"> COVID-19 Vaccinations Given to SF Residents Over Time</a>. \n\nThe dataset includes new cases, 7-day average new cases, new case rates, 7-day average new case rates, percent of total cases, and 7-day average percent of total cases for each vaccination category. \n\nNew cases are the count of cases where the positive tests were collected on that specific specimen collection date. The 7-day rolling average shows the trend in new cases. The rolling average is calculated by averaging the new cases for a particular day with the prior 6 days.\n\nNew case rates are the count of new cases per 100,000 residents in each vaccination status group. The 7-day rolling average shows the trend in case rates. The rolling average is calculated by averaging the case rate for a part","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/7ac0dd6c-60c0-464b-b70a-2e8c41a2e9ec","harvest_record_raw":"https://catalog.data.gov/harvest_record/7ac0dd6c-60c0-464b-b70a-2e8c41a2e9ec/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/gqw3-444p","keyword":["cases","covid","covid-19","vaccination","vaccines"],"last_harvested_date":"2026-09-02T18:56:02.518663","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"archived-covid-19-cases-by-vaccination-status-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Cases by Vaccination Status Over Time","type":"dataset"},{"_score":16.437458,"_sort":[1788375360456,16.437458,1,"dc5310fe-360b-4d72-bd95-af3c4f4a9253"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents the COVID-19 vaccinations given to residents of San Francisco. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications. This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH). \n\nData provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. \n \n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n\nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2016-2020 American Community Survey (ACS) population estimates for each demographic group.\n\n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process \n \n<strong>D. HOW TO USE THIS DATASET</strong> \nSan Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\" https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nBefore analysis, you must filter the dataset to the desired stratification of data using the \"overall_segment\" column. \n \nFor example, filtering \"overall_segment\" to \"All SF Residents by Age Bracket, Administered by All Providers\" will filter the data to residents whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets. \n \nIf you filter \"overall_segment\" to \"All SF Residents by Race/Ethnicity, Administered by DPH Only\", you will see the race/ethnicity breakdown for residents who received vaccinations from the San Francisco Department of Public Health (SFDPH). \n\nIf you filter \"overall_segment\" to \"All SF Residents by Age Group, Administered by All Providers\" you will see vaccination counts of various age eligibility groups that were administered by any provider. \n\nTo count the number of individuals vaccinated (with any primary series dose), use the \"total_recipients\" column. To count the number of individuals who have completed their primary vaccine series, use the \"total_series_completed\" column. To count the number of primary series doses administered (1st, 2nd, 3rd, or single doses), use the \"total_primary_series_doses\" column. \n \nTo count the number of individuals who received one or two monovalent (not bivalent) booster doses, use the \"total_booster_recipients\" and \"total_2nd_booster_recipients\" columns. To count the number of individuals who received their first bivalent booster dose, use the \"total_bivalent_booster_recipients\" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered, use the \"total_booster_doses\" or \"total_bivalent_booster_doses\" columns.  \n\n<strong>E. ARCHIVED DATA</strong> \nA previous version of this dataset was archived on 10/27/2022. For historical purposes, you can access the archived dataset at the following link:  \n\n<a href= \"https://data.sfgov.org/d/wv2h-rqwk\">ARCHIVED: COVID-19 Vaccine Doses Given to San Franciscans by Demographics</a>\n\n<strong>F. CHA","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/g8hh-rwgb/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/g8hh-rwgb/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/g8hh-rwgb/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/g8hh-rwgb/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/g8hh-rwgb/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/g8hh-rwgb","issued":"2022-10-05","keyword":["vaccination"],"landingPage":"https://data.sf.gov/d/g8hh-rwgb","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2025-01-07","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Vaccinations Given to SF Residents by Demographics"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents the COVID-19 vaccinations given to residents of San Francisco. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications. This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH). \n\nData provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. \n \n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n\nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2016-2020 American Community Survey (ACS) population estimates for each demographic group.\n\n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process \n \n<strong>D. HOW TO USE THIS DATASET</strong> \nSan Francisco population estimates for race/ethnicity and age groups can be found in a <a href=\" https://data.sfgov.org/d/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). \n\nBefore analysis, you must filter the dataset to the desired stratification of data using the \"overall_segment\" column. \n \nFor example, filtering \"overall_segment\" to \"All SF Residents by Age Bracket, Administered by All Providers\" will filter the data to residents whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets. \n \nIf you filter \"overall_segment\" to \"All SF Residents by Race/Ethnicity, Administered by DPH Only\", you will see the race/ethnicity breakdown for residents who received vaccinations from the San Francisco Department of Public Health (SFDPH). \n\nIf you filter \"overall_segment\" to \"All SF Residents by Age Group, Administered by All Providers\" you will see vaccination counts of various age eligibility groups that were administered by any provider. \n\nTo count the number of individuals vaccinated (with any primary series dose), use the \"total_recipients\" column. To count the number of individuals who have completed their primary vaccine series, use the \"total_series_completed\" column. To count the number of primary series doses administered (1st, 2nd, 3rd, or single doses), use the \"total_primary_series_doses\" column. \n \nTo count the number of individuals who received one or two monovalent (not bivalent) booster doses, use the \"total_booster_recipients\" and \"total_2nd_booster_recipients\" columns. To count the number of individuals who received their first bivalent booster dose, use the \"total_bivalent_booster_recipients\" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered, use the \"total_booster_doses\" or \"total_bivalent_booster_doses\" columns.  \n\n<strong>E. ARCHIVED DATA</strong> \nA previous version of this dataset was archived on 10/27/2022. For historical purposes, you can access the archived dataset at the following link:  \n\n<a href= \"https://data.sfgov.org/d/wv2h-rqwk\">ARCHIVED: COVID-19 Vaccine Doses Given to San Franciscans by Demographics</a>\n\n<strong>F. CHA","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/89e3e495-5c4f-44a5-a191-0a4499d38d04","harvest_record_raw":"https://catalog.data.gov/harvest_record/89e3e495-5c4f-44a5-a191-0a4499d38d04/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/g8hh-rwgb","keyword":["vaccination"],"last_harvested_date":"2026-09-02T18:56:00.456137","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"archived-covid-19-vaccinations-given-to-sf-residents-by-demographics","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: COVID-19 Vaccinations Given to SF Residents by Demographics","type":"dataset"},{"_score":19.084633,"_sort":[1788375359731,19.084633,0,"6e729cde-78e2-451a-bd4e-123b9502fef2"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset represents San Francisco COVID-19 related deaths by day. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available.\u202fBecause of this, death totals for previous days may increase or decrease. More recent data is less reliable.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAs of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">Council of State and Territorial Epidemiologists</a>. Death data is provided by the California Department of Public Health.\n\nIt takes time to process this data. Because of this, death totals may increase or decrease over time.\n\nData are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.\n\nDataset will not update on the business day following any federal holiday.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset shows new deaths and cumulative deaths by date of death. New deaths are the count of deaths on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths up to the date listed.\n\nUse the <a href=\"https://data.sfgov.org/d/kkr3-wq7h\">Deaths by Population Characteristics Over Time dataset</a> to see deaths by different subgroups including race/ethnicity, age, and gender.\n\n<strong>E. CHANGE LOG</strong> \n<UL><LI>9/11/2023 \u2013 on this date, we began using an updated definition of a COVID-19 death to align with the California Department of Public Health. This change was applied to COVID-19 deaths retrospectively beginning on 1/1/2023. More information about the recommendation by the Council of State and Territorial Epidemiologists that motivated this change can be found <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">here</a>. \n<LI>4/6/2023 - the State implemented system updates to improve the integrity of historical data. \n<LI>1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.</UL>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/g2di-xufg/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/g2di-xufg/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/g2di-xufg/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/g2di-xufg/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/g2di-xufg/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/g2di-xufg","issued":"2023-01-31","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/g2di-xufg","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-08-27","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"COVID-19 Deaths Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis dataset represents San Francisco COVID-19 related deaths by day. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available.\u202fBecause of this, death totals for previous days may increase or decrease. More recent data is less reliable.\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nAs of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">Council of State and Territorial Epidemiologists</a>. Death data is provided by the California Department of Public Health.\n\nIt takes time to process this data. Because of this, death totals may increase or decrease over time.\n\nData are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.\n\nDataset will not update on the business day following any federal holiday.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset shows new deaths and cumulative deaths by date of death. New deaths are the count of deaths on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths up to the date listed.\n\nUse the <a href=\"https://data.sfgov.org/d/kkr3-wq7h\">Deaths by Population Characteristics Over Time dataset</a> to see deaths by different subgroups including race/ethnicity, age, and gender.\n\n<strong>E. CHANGE LOG</strong> \n<UL><LI>9/11/2023 \u2013 on this date, we began using an updated definition of a COVID-19 death to align with the California Department of Public Health. This change was applied to COVID-19 deaths retrospectively beginning on 1/1/2023. More information about the recommendation by the Council of State and Territorial Epidemiologists that motivated this change can be found <a href = \"https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf\">here</a>. \n<LI>4/6/2023 - the State implemented system updates to improve the integrity of historical data. \n<LI>1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.</UL>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/e43407f5-7212-4468-9d58-03b646a1bc2a","harvest_record_raw":"https://catalog.data.gov/harvest_record/e43407f5-7212-4468-9d58-03b646a1bc2a/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/g2di-xufg","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:55:59.731473","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"covid-19-deaths-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"COVID-19 Deaths Over Time","type":"dataset"},{"_score":3.2029133,"_sort":[1788375359486,3.2029133,4,"2868a0ea-34c9-4f2d-8b04-d9cfbc31e16a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Tania Jogesh","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"Language Access Ordinance (LAO) data is collected through methods determined by the department's LAO liaison and reported to OCEIA for annual analysis. The data is managed and self-reported by methods determined by the LAO liaison. For more information about the ordinance and reporting information, please see: https://sfgov.org/oceia/language-access","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/fx53-jkka/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/fx53-jkka/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/fx53-jkka/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/fx53-jkka/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/fx53-jkka/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/fx53-jkka","issued":"2019-09-03","keyword":["language","language access","lao"],"landingPage":"https://data.sf.gov/d/fx53-jkka","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2024-03-13","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Language Access Ordinance Compliance"},"description":"Language Access Ordinance (LAO) data is collected through methods determined by the department's LAO liaison and reported to OCEIA for annual analysis. The data is managed and self-reported by methods determined by the LAO liaison. For more information about the ordinance and reporting information, please see: https://sfgov.org/oceia/language-access","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/14cf3a56-7887-4417-bbff-a7639f381791","harvest_record_raw":"https://catalog.data.gov/harvest_record/14cf3a56-7887-4417-bbff-a7639f381791/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/fx53-jkka","keyword":["language","language access","lao"],"last_harvested_date":"2026-09-02T18:55:59.486551","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":4,"publisher":"data.sf.gov","slug":"language-access-ordinance-compliance","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Language Access Ordinance Compliance","type":"dataset"},{"_score":15.45685,"_sort":[1788375358963,15.45685,1,"64f023ba-de30-4878-acbb-90c0998308f5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>In early February 2024, we will be retiring the Mpox Vaccinations Given to SF Residents by Demographics dataset. This dataset will be archived and no longer update. A historic record of this data will remain available.</strong>\n\n<strong>A. SUMMARY </strong>\nThis dataset represents doses of mpox vaccine (JYNNEOS) administered in California to residents of San Francisco ages 18 years or older. This dataset only includes doses of the JYNNEOS vaccine given on or after 5/1/2022. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place. The data are broken down by multiple demographic stratifications.\n\n<strong>B. HOW THE DATASET IS CREATED </strong>\nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). Information on individuals\u2019 city of residence, age, race, ethnicity, and sex are recorded in CAIR2 and are self-reported at the time of vaccine administration. Because CAIR2 does not include information on sexual orientation, we pull information from the San Francisco Department of Public Health\u2019s  Epic Electronic Health Record (EHR). The populations represented in our Epic data and the CAIR2 data are different. Epic data only include vaccinations administered at SFDPH managed sites to SF residents.  \n\nData notes for population characteristic types are listed below. \n\n<u>Age </u>\n* Data only include individuals who are 18 years of age or older. \n \n<u>Race/ethnicity </u>\n* The response option \"Other Race\" is categorized by the data source system, and the response option \"Unknown\" refers to a lack of data. \n \n<u>Sex </u>\n* The response option \"Other\" is categorized by the source system, and the response option \"Unknown\" refers to a lack of data. \n\n<u>Sexual orientation </u>\n* The response option \u201cUnknown/Declined\u201d refers to a lack of data or individuals who reported multiple different sexual orientations during their most recent interaction with SFDPH. \n\nFor convenience, we provide <a href=\"https://data.sfgov.org/d/4qbq-hvtt\"> the 2020 5-year American Community Survey population estimates</a>.\n\n<strong>C. UPDATE PROCESS </strong>\nUpdated daily via automated process.\n\n<strong>D. HOW TO USE THIS DATASET </strong>\nThis dataset includes many different types of demographic groups. Filter the \u201cdemographic_group\u201d column to explore a topic area. Then, the \u201cdemographic_subgroup\u201d column shows each group or category within that topic area and the total count of doses administered to that population subgroup.\n\n<strong>E. CHANGE LOG</strong>\n<ul><li>UPDATE 1/3/2023: Due to low case numbers, this page will no longer include vaccinations after 12/31/2022.</li></ul>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/fk8q-nu3s/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/fk8q-nu3s/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/fk8q-nu3s/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/fk8q-nu3s/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/fk8q-nu3s/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/fk8q-nu3s","issued":"2022-10-18","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/fk8q-nu3s","modified":"2025-01-07","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"ARCHIVED: Mpox Vaccinations Given to SF Residents by Demographics"},"description":"<strong>In early February 2024, we will be retiring the Mpox Vaccinations Given to SF Residents by Demographics dataset. This dataset will be archived and no longer update. A historic record of this data will remain available.</strong>\n\n<strong>A. SUMMARY </strong>\nThis dataset represents doses of mpox vaccine (JYNNEOS) administered in California to residents of San Francisco ages 18 years or older. This dataset only includes doses of the JYNNEOS vaccine given on or after 5/1/2022. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place. The data are broken down by multiple demographic stratifications.\n\n<strong>B. HOW THE DATASET IS CREATED </strong>\nInformation on doses administered to those who live in San Francisco is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). Information on individuals\u2019 city of residence, age, race, ethnicity, and sex are recorded in CAIR2 and are self-reported at the time of vaccine administration. Because CAIR2 does not include information on sexual orientation, we pull information from the San Francisco Department of Public Health\u2019s  Epic Electronic Health Record (EHR). The populations represented in our Epic data and the CAIR2 data are different. Epic data only include vaccinations administered at SFDPH managed sites to SF residents.  \n\nData notes for population characteristic types are listed below. \n\n<u>Age </u>\n* Data only include individuals who are 18 years of age or older. \n \n<u>Race/ethnicity </u>\n* The response option \"Other Race\" is categorized by the data source system, and the response option \"Unknown\" refers to a lack of data. \n \n<u>Sex </u>\n* The response option \"Other\" is categorized by the source system, and the response option \"Unknown\" refers to a lack of data. \n\n<u>Sexual orientation </u>\n* The response option \u201cUnknown/Declined\u201d refers to a lack of data or individuals who reported multiple different sexual orientations during their most recent interaction with SFDPH. \n\nFor convenience, we provide <a href=\"https://data.sfgov.org/d/4qbq-hvtt\"> the 2020 5-year American Community Survey population estimates</a>.\n\n<strong>C. UPDATE PROCESS </strong>\nUpdated daily via automated process.\n\n<strong>D. HOW TO USE THIS DATASET </strong>\nThis dataset includes many different types of demographic groups. Filter the \u201cdemographic_group\u201d column to explore a topic area. Then, the \u201cdemographic_subgroup\u201d column shows each group or category within that topic area and the total count of doses administered to that population subgroup.\n\n<strong>E. CHANGE LOG</strong>\n<ul><li>UPDATE 1/3/2023: Due to low case numbers, this page will no longer include vaccinations after 12/31/2022.</li></ul>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/8b69d105-ba34-4b0d-a515-314fb29430bd","harvest_record_raw":"https://catalog.data.gov/harvest_record/8b69d105-ba34-4b0d-a515-314fb29430bd/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/fk8q-nu3s","keyword":["untagged"],"last_harvested_date":"2026-09-02T18:55:58.963021","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"archived-mpox-vaccinations-given-to-sf-residents-by-demographics","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"ARCHIVED: Mpox Vaccinations Given to SF Residents by Demographics","type":"dataset"}],"sort":"last_harvested_date"}
