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Service"},"spatial":"-81.1565,37.5172,-74.7459,41.3463","temporal":"2007-01-01/2024-01-01","theme":["Data Package"],"title":"Forest health monitoring summary data (2007\u20132024) from eight national parks in the Eastern Rivers and Mountains Network"},"description":"This data package contains records and metadata from long-term forest health monitoring collected in eight national park units in the Eastern Rivers and Mountains Inventory and Monitoring Network from 2007 - 2024. Data on forest composition and structure, tree dieback, forest pests and pathogens, tree regeneration, shrubs, invasive plants, groundstory diversity and nativity, herbaceous plants sensitive to browse, and coarse woody debris were collected from over 380 plots, most of which were sampled four times. Plots were sampled on a four-year panel design, in which one panel containing one-fourth of a park\u2019s total plots was sampled each year. Field methods and data quality control procedures are described in detail at the National Park Service's Eastern Rivers and Mountains Network website (https://www.nps.gov/im/ermn/vegetation-soils.htm). This monitoring program focuses on indicators of forest ecological integrity to provide information on the condition of the parks\u2019 forests and how this condition is changing over time. Plot locations were determined through a random, spatially balanced sampling design for each park. Therefore, these data are appropriate for precisely estimating forest health metrics within each monitored park.","distribution_titles":["ERMN_VegetationSummary_2298542_CWD.csv","ERMN_VegetationSummary_2298542_metadata.xml","ERMN_VegetationSummary_2298542_Events.csv","ERMN_VegetationSummary_2298542_Groundstory.csv","ERMN_VegetationSummary_2298542_Plots.csv","ERMN_VegetationSummary_2298542_Saplings.csv","ERMN_VegetationSummary_2298542_Seedlings.csv","ERMN_VegetationSummary_2298542_NPSpecies.csv","ERMN_VegetationSummary_2298542_Stand.csv","ERMN_VegetationSummary_2298542_Trees.csv"],"harvest_record":"https://catalog.data.gov/harvest_record/2dfc1b6e-5726-4634-81ff-e8f4b43a91e8","harvest_record_raw":"https://catalog.data.gov/harvest_record/2dfc1b6e-5726-4634-81ff-e8f4b43a91e8/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/NPS_DataStore_2298542","keyword":["ALPO","Acer","Acer negundo","Acer palmatum","Acer pensylvanicum","Acer 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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":7.804693,"_sort":[1788377034199,7.804693,26,"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. 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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":3.2459755,"_sort":[1788376855901,3.2459755,3,"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":30.394703,"_sort":[1788376844481,30.394703,1,"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":22.57751,"_sort":[1788376844250,22.57751,3,"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":15.771522,"_sort":[1788376836242,15.771522,5,"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":27.741085,"_sort":[1788376835420,27.741085,1,"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":13.144032,"_sort":[1788376771176,13.144032,0,"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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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":3.1509323,"_sort":[1788375400453,3.1509323,0,"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":15.795444,"_sort":[1788375400088,15.795444,1,"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":13.087346,"_sort":[1788375399586,13.087346,0,"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":13.308857,"_sort":[1788375399465,13.308857,2,"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":13.528349,"_sort":[1788375398889,13.528349,4,"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":20.877104,"_sort":[1788375398528,20.877104,0,"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). Submittal of the Maher Application to and coordination with DPH may be required. 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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":6.112074,"_sort":[1788375395678,6.112074,5,"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":3.190445,"_sort":[1788375395460,3.190445,3,"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":55.691837,"_sort":[1788375395196,55.691837,1,"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":65.9404,"_sort":[1788375393895,65.9404,5,"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":6.3939114,"_sort":[1788375393429,6.3939114,0,"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":16.279701,"_sort":[1788375392347,16.279701,5,"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":3.2459755,"_sort":[1788375392109,3.2459755,0,"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":11.860863,"_sort":[1788375390923,11.860863,0,"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":16.47438,"_sort":[1788375390804,16.47438,0,"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":13.318838,"_sort":[1788375389048,13.318838,0,"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":11.747946,"_sort":[1788375388269,11.747946,1,"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":41.862957,"_sort":[1788375387247,41.862957,37,"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":13.262566,"_sort":[1788375385418,13.262566,4,"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"}],"sort":"last_harvested_date"}
