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The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).\n\nRates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates.  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Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year.\n\nSub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/a82f537a-9856-4c40-9db5-81bca2701f08","harvest_record_raw":"https://catalog.data.gov/harvest_record/a82f537a-9856-4c40-9db5-81bca2701f08/raw","has_download":true,"has_spatial":true,"identifier":"https://data.cdc.gov/api/views/yrur-wghw","keyword":["age","age group","coronavirus","covid-19","death rate","deaths","hhs region","hispanic origin","monthly","mortality","nchs","nvss","race","sex","united states"],"last_harvested_date":"2026-09-18T20:59:28.880450","organization":{"aliases":["US","dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"2c2fc21f-21d0-4450-af01-cf8c69b44156","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/hhs.png","name":"U.S. Department of Health & Human Services","organization_type":"Federal Government","slug":"hhs"},"parent_identifier":null,"popularity":267,"publisher":"Centers for Disease Control and Prevention","slug":"provisional-covid-19-death-counts-and-rates-by-month-jurisdiction-of-residence-and-demogra","spatial_centroid":{"lat":34.4819914,"lon":-101.6218762},"spatial_shape":{"coordinates":[[[[-124.733253,24.544245],[-124.733253,49.388611],[-66.954811,49.388611],[-66.954811,24.544245],[-124.733253,24.544245]]]],"type":"MultiPolygon"},"theme":["National Center for Health Statistics"],"title":"Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics","type":"dataset"},{"_score":2.529872,"_sort":[1789765145876,2.529872,11,"8c0cd8d0-f27d-4178-ae22-021efeca66bc"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P3M","bureauCode":["009:20"],"contactPoint":{"@type":"vcard:Contact","fn":"National Center for Health Statistics","hasEmail":"mailto:cdcinfo@cdc.gov"},"description":"Provisional estimates of selected reproductive indicators. 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In 2024, to investigate potential effects on male reproductive parameters, two groundwater wells, including one reference (REF) and one PFAS-contaminated water from fire-training area (FTA-2), were used as environmental source waters for continuous-flow fish exposures. Fathead Minnows were acclimated for 21 days in REF water, then exposed to different dilution ratios of FTA-2 and REF treatments for the 21 days. REF served as the reference treatment. After acclimation, the fish were moved into 5 different exposure treatment groups: 1) REF, 2) FTA-2, 3) FTA-2:REF at 10 parts to 90 parts by volume, 4) FTA-2:REF at 25 parts to 75 parts, and 5) FTA-2:REF at 50 parts to 50 parts. To assess potential effects on reproductive parameters, sperm motility measures were collected by using computer assisted sperm motion analysis, and potential effects on programmed testicular cell death were measured with flow cytometry by using live cells stained with Annexin and counterstained with propidium iodide. These data are to be included in a larger study measuring multiple endpoints, including water and tissue chemistry, testis histology, and female reproductive endpoints such as fecundity.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P13WGICU","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a455e761ba49bba33a32111.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a455e761ba49bba33a32111","keyword":["Aquatic Biology","Environmental Health","Hydrology","PFAS","USGS:6a455e761ba49bba33a32111","Water Quality","Wildlife Biology","boundaries","contamination","contamination and pollution","fish","flow cytometry"],"modified":"2026-09-15T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-70.5775, 41.6031, -70.4471, 41.7262","theme":["geospatial"],"title":"Assessment of sperm motility, apoptosis, and viability of Fathead Minnows (Pimephales promelas) exposed to polyfluorinated alkyl substances (PFAS) at Cape Cod, MA in 2024"},"description":"Adult male Fathead Minnows (Pimephales promelas) were exposed to water containing per- and polyfluoroalkyl compounds (PFAS) derived from aqueous film-forming foam in mobile laboratories on location at the USGS Toxic Substance Hydrology Groundwater Research Site on Cape Cod, MA. In 2024, to investigate potential effects on male reproductive parameters, two groundwater wells, including one reference (REF) and one PFAS-contaminated water from fire-training area (FTA-2), were used as environmental source waters for continuous-flow fish exposures. Fathead Minnows were acclimated for 21 days in REF water, then exposed to different dilution ratios of FTA-2 and REF treatments for the 21 days. REF served as the reference treatment. After acclimation, the fish were moved into 5 different exposure treatment groups: 1) REF, 2) FTA-2, 3) FTA-2:REF at 10 parts to 90 parts by volume, 4) FTA-2:REF at 25 parts to 75 parts, and 5) FTA-2:REF at 50 parts to 50 parts. 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The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554fa61ba49b1af2fad41d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fa61ba49b1af2fad41d","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fa61ba49b1af2fad41d","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5610, 38.9289, -73.9055, 40.9847","theme":["geospatial"],"title":"Marsh migration metrics for New Jersey marsh units in response to 2 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. 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The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/95d66757-07d0-4093-97d2-ed95eb2a2ee3","harvest_record_raw":"https://catalog.data.gov/harvest_record/95d66757-07d0-4093-97d2-ed95eb2a2ee3/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fa61ba49b1af2fad41d","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fa61ba49b1af2fad41d","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"last_harvested_date":"2026-09-18T00:55:23.313842","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"marsh-migration-metrics-for-new-jersey-marsh-units-in-response-to-2-feet-of-sea-level-rise","spatial_centroid":{"lat":39.75122,"lon":-74.89880000000001},"spatial_shape":{"coordinates":[[[-75.561,38.9289],[-75.561,40.9847],[-73.9055,40.9847],[-73.9055,38.9289],[-75.561,38.9289]]],"type":"Polygon"},"theme":["geospatial"],"title":"Marsh migration metrics for New Jersey marsh units in response to 2 feet of sea-level rise","type":"dataset"},{"_score":9.5651245,"_sort":[1789691913985,9.5651245,0,"f23186e6-2759-43cb-b5fb-b2fbc4a05f12"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kate Ackerman","hasEmail":"mailto:kackerman@usgs.gov"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. 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The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554e8b1ba49b1af2fad413.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e8b1ba49b1af2fad413","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e8b1ba49b1af2fad413","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5641, 38.9307, -73.9057, 40.9831","theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 4 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/24d4e3af-a874-4611-9385-b631a18132f0","harvest_record_raw":"https://catalog.data.gov/harvest_record/24d4e3af-a874-4611-9385-b631a18132f0/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e8b1ba49b1af2fad413","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e8b1ba49b1af2fad413","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"last_harvested_date":"2026-09-18T00:38:33.985819","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"potential-marsh-migration-area-in-new-jersey-in-response-to-4-feet-of-sea-level-rise","spatial_centroid":{"lat":39.75166,"lon":-74.90074},"spatial_shape":{"coordinates":[[[-75.5641,38.9307],[-75.5641,40.9831],[-73.9057,40.9831],[-73.9057,38.9307],[-75.5641,38.9307]]],"type":"Polygon"},"theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 4 feet of sea-level rise","type":"dataset"},{"_score":9.5651245,"_sort":[1789691473235,9.5651245,0,"aae87ab1-7747-48fc-b10d-90df7d063dae"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kate Ackerman","hasEmail":"mailto:kackerman@usgs.gov"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554fcc1ba49b1af2fad421.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fcc1ba49b1af2fad421","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fcc1ba49b1af2fad421","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5641, 38.9307, -73.9057, 40.9831","theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 2 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b10739c3-6432-4136-8109-0cfa720c37cb","harvest_record_raw":"https://catalog.data.gov/harvest_record/b10739c3-6432-4136-8109-0cfa720c37cb/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554fcc1ba49b1af2fad421","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554fcc1ba49b1af2fad421","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"last_harvested_date":"2026-09-18T00:31:13.235097","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"potential-marsh-migration-area-in-new-jersey-in-response-to-2-feet-of-sea-level-rise","spatial_centroid":{"lat":39.75166,"lon":-74.90074},"spatial_shape":{"coordinates":[[[-75.5641,38.9307],[-75.5641,40.9831],[-73.9057,40.9831],[-73.9057,38.9307],[-75.5641,38.9307]]],"type":"Polygon"},"theme":["geospatial"],"title":"Potential marsh migration area in New Jersey in response to 2 feet of sea-level rise","type":"dataset"},{"_score":9.710524,"_sort":[1789688007439,9.710524,0,"a9045a0d-59ff-4447-a55f-8db1c535a68f"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kate Ackerman","hasEmail":"mailto:kackerman@usgs.gov"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJ3LQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a554e291ba49b1af2fad409.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e291ba49b1af2fad409","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e291ba49b1af2fad409","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"modified":"2026-09-09T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-75.5610, 38.9289, -73.9055, 40.9847","theme":["geospatial"],"title":"Marsh migration metrics for New Jersey marsh units in response to 4 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort.  \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference:    \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d3774a5f-b35d-456e-94c4-abb2fe9568aa","harvest_record_raw":"https://catalog.data.gov/harvest_record/d3774a5f-b35d-456e-94c4-abb2fe9568aa/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e291ba49b1af2fad409","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e291ba49b1af2fad409","coastal ecosystems","coastal processes","elevation","environment","estuarine processes","estuary","geospatial datasets","inlandWaters","lifespan","marsh health","marsh migration","oceans","salt marsh","sea-level change","sediment transport","vegetation","wetland ecosystems","wetland functions"],"last_harvested_date":"2026-09-17T23:33:27.439686","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"marsh-migration-metrics-for-new-jersey-marsh-units-in-response-to-4-feet-of-sea-level-rise","spatial_centroid":{"lat":39.75122,"lon":-74.89880000000001},"spatial_shape":{"coordinates":[[[-75.561,38.9289],[-75.561,40.9847],[-73.9055,40.9847],[-73.9055,38.9289],[-75.561,38.9289]]],"type":"Polygon"},"theme":["geospatial"],"title":"Marsh migration metrics for New Jersey marsh units in response to 4 feet of sea-level rise","type":"dataset"},{"_score":19.541836,"_sort":[1789678954057,19.541836,5,"f56a5e9a-a4d7-4830-b51b-2b9b6cddbe29"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","bureauCode":["009:20"],"contactPoint":{"@type":"vcard:Contact","fn":"National Syndromic Surveillance Program","hasEmail":"mailto:nssp@cdc.gov"},"description":"NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. 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The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as \u201csparse\u201d.  \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays.\u202f","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/rdmq-nq56/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/rdmq-nq56/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/rdmq-nq56/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"}],"identifier":"https://data.cdc.gov/api/views/rdmq-nq56","issued":"2023-12-18","keyword":["coronavirus","covid19","ed","emergency department","flu","influenza","national syndromic surveillance program","ncird","nssp","ophdst","respiratory syncytial virus","respiratory-virus-response","rsv","rvr"],"landingPage":"https://data.cdc.gov/d/rdmq-nq56","license":"https://www.usa.gov/government-works","modified":"2026-09-16","programCode":["009:037"],"publisher":{"@type":"org:Organization","name":"Centers for Disease Control and Prevention"},"spatial":"U.S.","temporal":"2022-10-01/2023-01-27","theme":["Public Health Surveillance"],"title":"NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined\u202f\u202f"},"description":"NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.\u202f \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as \u201csparse\u201d.  \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays.\u202f","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/408f5189-4b2e-4ca9-a343-d7852edd1c95","harvest_record_raw":"https://catalog.data.gov/harvest_record/408f5189-4b2e-4ca9-a343-d7852edd1c95/raw","has_download":true,"has_spatial":true,"identifier":"https://data.cdc.gov/api/views/rdmq-nq56","keyword":["coronavirus","covid19","ed","emergency department","flu","influenza","national syndromic surveillance program","ncird","nssp","ophdst","respiratory syncytial 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In this dataset, grouped trees and grouped weeds are provided as daily pollen levels and concentrations using data from the NAB. Grouped grass pollen metrics were excluded from selected products to align with data-sharing policies. Public release of grouped grass data could allow inference of taxa-specific concentrations in some contexts; therefore, these metrics are not included.\n\nDaily pollen levels are determined from PPCM concentrations that fall within the following thresholds, which are based on the proportion of days exceeding these PPCM numbers. The pollen levels provided in this dataset correspond to the following grouped pollen concentrations :\nGrouped Trees\nVery High: \u22651500 PPCM\nHigh: \u226590\u20131500 PPCM\nModerate: \u226515\u201390 PPCM\nLow: <15 PPCM\n\nGrouped Weeds\nVery High: \u2265500 PPCM\nHigh: \u226550\u2013500 PPCM\nModerate: \u226510\u201350 PPCM\nLow: <10 PPCM \n\nPollen dates were converted to a 365-day-of-year format using 2024 as the reference year for all date calculations, which is the last year of pollen data for this release. This dataset is part of a series of pollen datasets from the NAB, processed and standardized by the Division of Environmental Health Science and Practice (DEHSP), National Center for Environmental Health (NCEH), CDC. 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In this dataset, grouped trees and grouped weeds are provided as daily pollen levels and concentrations using data from the NAB. Grouped grass pollen metrics were excluded from selected products to align with data-sharing policies. Public release of grouped grass data could allow inference of taxa-specific concentrations in some contexts; therefore, these metrics are not included.\n\nDaily pollen levels are determined from PPCM concentrations that fall within the following thresholds, which are based on the proportion of days exceeding these PPCM numbers. 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Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/at7e-uhkc/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/at7e-uhkc/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/at7e-uhkc/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/at7e-uhkc/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/at7e-uhkc/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/at7e-uhkc/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"}],"identifier":"https://data.cdc.gov/api/views/at7e-uhkc","issued":"2023-07-19","keyword":["age-adjusted","behavioral","brfss","factor","risk","surveillance","survey"],"landingPage":"http://www.cdc.gov/BRFSS/","license":"http://opendefinition.org/licenses/odc-odbl/","modified":"2026-09-15","programCode":["009:020"],"publisher":{"@type":"org:Organization","name":"Centers for Disease Control and Prevention"},"references":["http://www.cdc.gov/BRFSS/"],"theme":["Behavioral Risk Factors"],"title":"Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)"},"description":"2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary:  https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1daa978c-03e4-407b-9266-0ca7c66d81f8","harvest_record_raw":"https://catalog.data.gov/harvest_record/1daa978c-03e4-407b-9266-0ca7c66d81f8/raw","has_download":true,"has_spatial":false,"identifier":"https://data.cdc.gov/api/views/at7e-uhkc","keyword":["age-adjusted","behavioral","brfss","factor","risk","surveillance","survey"],"last_harvested_date":"2026-09-16T20:54:20.623481","organization":{"aliases":["US","dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"2c2fc21f-21d0-4450-af01-cf8c69b44156","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/hhs.png","name":"U.S. Department of Health & Human Services","organization_type":"Federal Government","slug":"hhs"},"parent_identifier":null,"popularity":2,"publisher":"Centers for Disease Control and Prevention","slug":"behavioral-risk-factors-selected-metropolitan-area-risk-trends-smart-mmsa-age-adjusted-pre","spatial_centroid":null,"spatial_shape":null,"theme":["Behavioral Risk Factors"],"title":"Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)","type":"dataset"},{"_score":5.0128746,"_sort":[1789585560620,5.0128746,32,"bff8753a-f2a5-433b-a589-2e1fc9acadf4"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"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":[{"@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":"2026-09-16T04:30:18.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9451,35.5378,-78.2691,36.0477","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/ced85968-f00c-4c0a-bc2b-089858c18fe1","harvest_record_raw":"https://catalog.data.gov/harvest_record/ced85968-f00c-4c0a-bc2b-089858c18fe1/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":"2026-09-16T19:06:00.620736","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":35.74176,"lon":-78.6747},"spatial_shape":{"coordinates":[[[-78.9451,35.5378],[-78.9451,36.0477],[-78.2691,36.0477],[-78.2691,35.5378],[-78.9451,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspections","type":"dataset"},{"_score":7.629385,"_sort":[1789585560420,7.629385,26,"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. 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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":"2026-09-16T15:58:47.837Z","publisher":{"name":"Wake County"},"spatial":"-78.9451,35.5378,-78.2691,36.0477","theme":["geospatial"],"title":"Restaurants in Wake County"},"description":"<p>The Wake County health department inspects food service facilities throughout Wake County. 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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_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/14010e11-2368-4283-9a17-a0b9c1790a62","harvest_record_raw":"https://catalog.data.gov/harvest_record/14010e11-2368-4283-9a17-a0b9c1790a62/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=124c2187da8c41c59bde04fa67eb2872&sublayer=0","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-16T19:05:59.830535","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":22,"publisher":"Wake County","slug":"restaurants-in-wake-county","spatial_centroid":{"lat":35.74176,"lon":-78.6747},"spatial_shape":{"coordinates":[[[-78.9451,35.5378],[-78.9451,36.0477],[-78.2691,36.0477],[-78.2691,35.5378],[-78.9451,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Restaurants in Wake County","type":"dataset"},{"_score":14.165228,"_sort":[1789585432229,14.165228,1,"84d327ce-3400-4b7b-b6d8-de8413941490"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"svc dmesb","hasEmail":"mailto:no-reply@data.montgomerycountymd.gov"},"description":"This data set contains calls for service involving substance abuse.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.montgomerycountymd.gov/api/views/vh39-6s5t/columns.json","describedByType":"application/json","downloadURL":"https://data.montgomerycountymd.gov/api/v3/views/vh39-6s5t/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.montgomerycountymd.gov/api/views/vh39-6s5t/columns.xml","describedByType":"application/xml","downloadURL":"https://data.montgomerycountymd.gov/api/v3/views/vh39-6s5t/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.montgomerycountymd.gov/api/v3/views/vh39-6s5t/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.montgomerycountymd.gov/api/views/vh39-6s5t","issued":"2023-07-06","keyword":["mental health","police"],"landingPage":"https://data.montgomerycountymd.gov/d/vh39-6s5t","modified":"2026-09-15","publisher":{"@type":"org:Organization","name":"data.montgomerycountymd.gov"},"theme":["Public Safety"],"title":"Police Service Calls for Substance Abuse"},"description":"This data set contains calls for service involving substance abuse.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/908b0fc8-62ce-4db2-a5d0-55ed8b66ec11","harvest_record_raw":"https://catalog.data.gov/harvest_record/908b0fc8-62ce-4db2-a5d0-55ed8b66ec11/raw","has_download":true,"has_spatial":false,"identifier":"https://data.montgomerycountymd.gov/api/views/vh39-6s5t","keyword":["mental health","police"],"last_harvested_date":"2026-09-16T19:03:52.229908","organization":{"aliases":null,"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"23fadd55-de9c-44e6-8cea-b328f5eccf22","logo":"","name":"Montgomery County of Maryland","organization_type":"County Government","slug":"montgomery-county-md"},"parent_identifier":null,"popularity":1,"publisher":"data.montgomerycountymd.gov","slug":"police-service-calls-for-substance-abuse","spatial_centroid":null,"spatial_shape":null,"theme":["Public Safety"],"title":"Police Service Calls for Substance Abuse","type":"dataset"},{"_score":16.984861,"_sort":[1789585429410,16.984861,2,"12511bde-ea31-4152-9ee6-3b17bdbf3b75"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"svc dmesb","hasEmail":"mailto:no-reply@data.montgomerycountymd.gov"},"description":"This dataset contains any homeowner in Montgomery County, who operates a home-based business which generates more than five visits to the site per week, or who provides a non-resident employee, must register his or her business with DPS.  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