SNAP Participation Data FY1989-2020
SNAP participation data - FY 1989 through January 2020 by County About USDA Food Security and Allocations Data: Links to several different USDA food security and allocations datasets, including a Census-level Food Access Research Atlas, county-level SNAP participation data through FY2020, and state-level total participant counts from FY2015 through FY2019 for the Commodity Supplemental Food Program, Emergency Food Assistance Program, and Food Distribution Program.
Geography Level: State, CountyItem Vintage: 1989-2020
Update Frequency: N/AAgency: USDAAvailable File Type: Excel
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CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Note: The Food Environment Atlas contains ERS's most recent and reliable data on food assistance programs, including participants in the SNAP Program. The Supplemental Nutrition Assistance Program (SNAP) Data System is no longer being updated due to inconsistencies and reliability issues in the source data. The Supplemental Nutrition Assistance Program (SNAP) Data System provides time-series data on State and county-level estimates of SNAP participation and benefit levels, combined with area estimates of total population and the number of persons in poverty.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Interactive map GIS API Services Data file For complete information, please visit https://data.gov.
SNAP is the largest nutrition assistance program in the US. Understanding where SNAP dollars can be redeemed is thus a critical part of understanding food access environments. Data compiled from the USDA Food and Nutrition Service SNAP Retail locator downloaded from https://www.fns.usda.gov/snap/retailer-locatorXY coordinates for each retailer were re-verified using google maps due to geocoding inaccuracies in the USDA database.
Feature layer generated from running the Buffer Features solution. Input from SNAP Retailers were buffered by [1] Miles
Geospatial data about SNAP simplified reporting, 2000*. Export to CAD, GIS, PDF, CSV and access via API.
Salem SNAP Office - Massachusetts Office of Transitional Assitance
Beginning in 2015, the Public Service Communication Board, VITA Integrated Services Program staff, and staffs from public safety answering points (PSAPs) have been planning the deployment of Next Generation 9-1-1 (NG911) for the Commonwealth. Transitioning from the legacy telecommunication network will provide numerous benefits and flexibility looking towards the future. As the emergency services internet protocol network (ESInet) is fully deployed, geospatial call routing will use geographic information system (GIS) data provisioned by authoritative sources. This process includes compiling mutually agreed to available Provisioning Boundary Line segments received and processed by VITA ISP. Segments are connected by Provisioning Boundary Junctions. Road Centerline Snap to Points are created when an existing road centerline feature crosses an agreed-to provisioning boundary and are provided as a feature service https://vginmaps.vdem.virginia.gov/arcgis/rest/services/NG911/NG911_VA_StatePlaneNorth_NAD83_RCLSnapToPoint/FeatureServer in Virginia State Plane North. Guidance on connecting to feature services is available here: https://vginmaps.vdem.virginia.gov/download/ng911/Working_with_VGIN_Feature_Services.pdf. Data is believed to be current for its intended purpose. Additional resources and recommendations on GIS related topics are available on the VGIN 9-1-1 & GIS page.Data is provided as is. All warranties regarding the accuracy of the data and any representation or inferences derived there from are hereby expressly disclaimed.
Geospatial data about SNAP participants (% pop), 2014*. Export to CAD, GIS, PDF, CSV and access via API.
National Hydrography Dataset - for snapping diversions and other riverine features. SEO stream names - for referencing proper water sources. SEO Districts - Hydrographer districts for assigning a unique ID (WDOSTRID) on modeling projects. Public Land Survey System (PLSS)
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In January 2002, Mayor Anthony A. Williams introduced his Home Again Initiative to transform vacant and abandoned residential properties into single-family homeownership opportunities for residents. By increasing homeownership and eliminating blight, Home Again helps to stabilize neighborhoods and contribute to local economic sustainability. Currently, Home Again focuses on neighborhoods with high concentrations of vacant and abandoned residential property: Columbia Heights, Ivy City/Trinidad, Near Northeast, Shaw/Ledroit Park, and Rosedale. The residents in these communities also identified rehabilitating vacant and abandoned properties as a high priority in their Strategic Neighborhood Action Plans (SNAPs).
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The Sustainable Community Program focuses on creating healthy, livable, connected, and resilient neighbourhoods - both new and existing. Sustainable Neighbourhood Action Plans (SNAPs) are partnership initiatives between the City of Brampton, TRCA, CVC, and Region of Peel. SNAPs focus on environmental improvements and urban renewal of existing neighbourhoods, and promote widespread adoption of sustainable technologies, practices and lifestyle in the community. Brampton currently has two SNAPs, the County Court SNAP and the Fletchers Creek SNAP.Sustainable neighbourhood action plan areas delineate locations where special programs are offered to residents to upgrade their homes to make them energy/water efficient; special attention is made to improving the function of infrastructure and to promote sustainable habits.For more information, navigate to the City of Brampton website for this program.
SNAP is the largest nutrition assistance program in the US. Understanding where SNAP dollars can be redeemed is thus a critical part of understanding food access environments. Data compiled from the USDA Food and Nutrition Service SNAP Retail locator downloaded from https://www.fns.usda.gov/snap/retailer-locatorXY coordinates for each retailer were re-verified using google maps due to geocoding inaccuracies in the USDA database.
This dataset was updated April, 2024.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes: Clipping input datasets to the California boundary Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc) Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California. Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only. Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs) In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.Data Sources: GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.htmlData Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.
{"definition": "2000 total SNAP participants", "availableYears": "2000", "name": "2000 total SNAP participants", "units": "Count", "shortName": "PRGNUM00", "geographicLevel": "County", "dataSources": "SNAP participation and population estimates at the county level are provided the U.S. Census Bureau."}
© Count This layer is a component of ERS SNAP Data System.
This map service contains maps and data relevant to SNAP (Supplemental Nutrition Assistance Program) participation and benefits
© Detailed documentation on data sources used in the ERS SNAP Data System map services is available here: http://www.ers.usda.gov/data-products/supplemental-nutrition-assistance-program-(snap)-data-system/documentation.aspx
Levee stations, usually in feet but in some cases miles, snapped to 2017 Delta levee centerlines (derived from the 2017 Delta LiDAR). Base source for station locations are surveyed field markers on the levees or distance-derived CAD files, in either case as supplied by local maintaining agency's engineers. DWR collected station location data and snapped the stations into the levee centerline file from 2012. After updated levee centerlines were created, the existing points were snapped to the new lines. So there is some small difference between the supplied station locations, previous station locations and these station locations. In some cases, multiple series of stations exist for a district, generally associated with distinct waterways. Also, district levees may be demarked in feet or in miles. The label fields are simply cartographic support, the label data are identical in all cases, but are provided to support fast labeling at more infrequent intervals as needed. Stationing is not as simple as it may seem. In some cases, multiple sets of stationing exist for a district's levees (see Sherman Island for example). What this dataset intends to represent is the current stationing used by District engineers for that District on levee maintenance and improvement projects. As changes are made to the stationing, and the new stationing data become available to the Levee Program, they will be added to this database. Some islands also have separate groups of stations for various parts of the district. This version is current as of 03/24/2020. Source of the original levee stationing is DWR Delta Levees Program, compiled from data provided by internal files, from CSU Chico State, MBK Engineers, KSN Engineers, Siegfried Engineers, Malani & Associates, Green Mountain Engineers, and DCC Engineers. Processing work done by CA DWR, Division of Engineering, Geodetic Branch, Geospatial Data Support Section, specifically by Arina Ushakova (Research Data Analyst I), and initial QC by Joel Dudas (Senior Engineer, Water Resources).
Data related to the PGH SNAP project. Please note that this data is not up to date. It was created with 2010 census data and early 2010's data for non-census related data. Historic data is considered to be accurate at the time it was captured but is not intended to reflect current conditions.
The Supplemental Nutrition Assistance Program (SNAP) is a United States Department of Agriculture (USDA) Food and Nutrition Service (FNS) program that helps low-income families and individuals buy healthy food. In Michigan, SNAP benefits are available through the Food Assistance Program (FAP), which is administered by the Michigan Department of Health and Human Services (MDHHS) and through MI Bridges. Participants in the program receive SNAP funds on an Electronic Benefits Transfer (EBT) card known as the "Michigan Bridge card", which works like a debit card. SNAP funds can be used to purchase nutritious fruit, vegetables, meat, dairy, bread and other products from participating retailers. Many different types of retailers accept the MI Bridges card, including grocery stores, convenience stores, farmers' markets, and more. Please see the MDHHS Food Assistance webpage or log into MI Bridges to learn about eligibility and to apply for the program.This SNAP Retailer dataset includes records from the USDA SNAP Retailer Location dataset that have geographical latitude and longitude coordinates located within the City of Detroit Boundary. A few retailers located outside of Detroit may be included in this dataset if the latitude and longitudinal coordinates provided in the USDA dataset fall within the City of Detroit Boundary. The data is updated every 2 weeks. Each record in the dataset contains data about a retail location, including the retailer's name, address, and whether they participate in the SNAP Healthy Incentive program. Retailer Type definitions are available from the USDA SNAP Store Type Definitions webpage and include convenience stores, farmers and markets, grocery stores, specialty stores, super stores, supermarkets, and restaurant meals programs. Information about the federal program and data is available from the USDA/FNS at the Supplemental Nutrition Assistance Program (SNAP) website and the SNAP Retailer Data webpage.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Buncombe County Property Snap Shots 2002 through 2018For Buncombe County Metadata: https://gisdownload.buncombecounty.org/parcels.htmClass codes: https://gis.buncombecounty.org/buncomap/classcode.htm
Data for the online SNAP Retailer Locator application. The data is a list of all currently authorized retailers in the USDA SNAP program. The data is updated every 2 weeks. The data contains the retailer's name, address, lat/long, store type classification and if they participate in the SNAP Healthy Incentive program.The data structure was updated in September 2023.
SNAP is the largest nutrition assistance program in the US. Understanding where SNAP dollars can be redeemed is thus a critical part of understanding food access environments. Data compiled from the USDA Food and Nutrition Service SNAP Retail locator downloaded from https://www.fns.usda.gov/snap/retailer-locatorXY coordinates for each retailer were re-verified using google maps due to geocoding inaccuracies in the USDA database.
SNAP Participation Data FY1989-2020
SNAP participation data - FY 1989 through January 2020 by County About USDA Food Security and Allocations Data: Links to several different USDA food security and allocations datasets, including a Census-level Food Access Research Atlas, county-level SNAP participation data through FY2020, and state-level total participant counts from FY2015 through FY2019 for the Commodity Supplemental Food Program, Emergency Food Assistance Program, and Food Distribution Program.
Geography Level: State, CountyItem Vintage: 1989-2020
Update Frequency: N/AAgency: USDAAvailable File Type: Excel
Return to Other Federal Agency Datasets Page