The Food Access Research Atlas presents a spatial overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility, provides food access data for populations within census tracts, and offers census-tract-level data on food access that can be downloaded for community planning or research purposes.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.

The Food Access Research Atlas: Presents an overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility; Provides food access data for populations within census tracts; and Offers census-tract-level data on food access that can be downloaded for community planning or research purposes.

What can you do with the Atlas? Create maps showing food access indicators by census tract using different measures and indicators of supermarket accessibility; Compare food access measures based on 2019 data with the previous 2015 measures; View indicators of food access for selected subpopulations; and Download census-tract-level data on food access measures.

2015 USDA Food Desert areas for Florida defined by 2010 US Census tract. Based on LILATract_1And10 field census data. Developed by the USDA Economic Research Service (ERS) as part of the Food Access Research Atlas.This service is intended for use with popups or at very large scales.This data layer is part of Florida’s Roadmap to Living Healthy web map produced by the Florida Department of Agriculture and Consumer Services (FDACS), Division of Food, Nutrition and Wellness (DFNW).For technical assistance, contact the Florida's Roadmap to Healthy Living Administrator

United States Department of Agriculture Economic Research Service’s Food Access Research Atlas maps census tracts that are considered to be both low income and low access. The Atlas provides different ways to understand characteristics that can contribute to food deserts, including income level, distance to supermarkets, and vehicle access. The low access and distance measure extracted from the Food Access Research Atlas, and displayed on the Maryland Food System Map, is low income and low access measured at ½ mile and 10 miles. The Food Access Research Atlas defines this measure as being a low-income census tract with at least 500 people or 33 percent of the population living more than ½ mile (urban areas) or more than 10 miles (rural areas) from the nearest supermarket. A low-income census tract is defined as a having either a poverty rate of 42 percent or more, or a median family income less than 80 percent of the State-wide median family income; or a tract in a metropolitan area with a median family income less than 80 percent of the surrounding metropolitan area medium family income. A census tract is urban if its geographic centroid is in an area with more than 2,500 people. All other tracts are rural.

Data source: United States Department of Agriculture, Economic Research Service

Date: 2013

Please find attached the data documentation. The Atlas is based on 2010 census tract polygons. To use the underlying Atlas data in a GIS, the data from this spreadsheet needs to be joined to a census tract boundary file. With ESRI software, users should have access to the tract layer on ESRI's "Data and Maps" data distribution. For users of other software, tract boundaries can be downloaded directly from the Census Bureau's Cartographic Boundary Files. The underlying map services used in the Food Access Research Atlas are also available for both developers and GIS users. See the Geospatial API documentation for more information.

Dataset is an overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility. This dataset provides food access data for populations within census tracts; and offers census-tract-level data on food access that can be used for community planning or research purposes.Data from USDA Economic Research Service (ERS) Food Access Research Atlas, 2019. Last updated 4/27/2021.See also USDA map service at https://gisportal.ers.usda.gov/server/rest/services/FARA/FARA_2019/MapServer.

All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.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: API access page For complete information, please visit https://data.gov.

Dataset is an overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility. This dataset provides food access data for populations within census tracts; and offers census-tract-level data on food access that can be used for community planning or research purposes.Data from USDA Economic Research Service (ERS) Food Access Research Atlas, 2019. Last updated 4/27/2021.See also USDA map service at https://gisportal.ers.usda.gov/server/rest/services/FARA/FARA_2019/MapServer.

Presents a spatial overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility. Created by the USDA. Data as of 2011-2015 5 yr period averages. Metadata and current information available at: https://www.ers.usda.gov/data-products/food-access-research-atlas

Food environment factors--such as store/restaurant proximity, food prices, food and nutrition assistance programs, and community characteristics--interact to influence food choices and diet quality. Research is beginning to document the complexity of these interactions, but more is needed to identify causal relationships and effective policy interventions. The objectives of the Atlas are to assemble statistics on food environment indicators to stimulate research on the determinants of food choices and diet quality, and to provide a spatial overview of a community's ability to access healthy food and its success in doing so.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 Web page with link to Excel files For complete information, please visit https://data.gov.

This EnviroAtlas dataset contains a count of the number of local farmers markets within each subwatershed (12-digit HUC) based on their location given within the USDA National Farmers Market Directory (https://www.ams.usda.gov/local-food-directories/farmersmarkets). This data has been processed from the original directory to remove duplicate locations, as well as a small subsample (25 markets) were corrected by hand in order avoid duplication across block group boundaries. This dataset is contemporary as of 5/20/2016, and downloaded from the USDA Agricultural Marketing Service (AMS) website. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Healthy Access Locator map can be used to view schools that have received a Healthier US Schools Challenge Award (HUSSC). To get started, click on Search Awards and enter your search criteria. When the information displays on the map, you can click a star for additional details or see a summary of your results below the map. You can also use the Data Layers feature to display different data layers on obesity and diabetes prevalence, SNAP Participation Rates, and SNAP Outreach Plans by states. (HUSSC Awards as of May 30, 2013).

Supermarkets are one of the most popular and convenient ways in which Americans gain access to healthy food, such as fresh meat and fish, or fresh fruits and vegetables. There are various ways in which people gain access to supermarkets. People in the suburbs drive to supermarkets and load up the car with many bags of food. People in cities depend much more on walking to the local store, or taking a bus or train.This map came about after asking a simple question: how many Americans live within a reasonable walk or drive to a supermarket?In this case, "reasonable" was defined as a 10 minute drive, or a 1 mile walk. The ArcGIS Network Analyst extension performed the calculations on NAVTEQ streets, and the ArcGIS Spatial Analyst extension created a heat map of the walkable access and drivable access to supermarkets.The green dots represent populations in poverty who live within one mile of a supermarket. The red dots represent populations in poverty who live beyond a one mile walk to a supermarket, but may live within a 10 minute drive...assuming they have access to a car. The grey dots represent the total population in a given area.This is an excellent map to use as backdrop to show how people are improving access to healthy food in their community. Open this map in ArcGIS Explorer to add your favorite farmers' market, CSA, or transit line -- then share that map via Facebook, Twitter or email.This map shows data for the entire U.S. The supermarkets included in the analysis have annual sales of $1 million or more. Populations in poverty are represented by taking the block group poverty rate (e.g. 10%) from the Census and symbolizing each block in that block group based on that percentage. Demographic data from U.S. Census 2010 and Esri Business location from infoUSAData sources: see this map package.

This EnviroAtlas dataset contains a count of the number of local farmers markets within each census block group (CBG) based on their location given within the USDA National Farmers Market Directory (https://www.ams.usda.gov/local-food-directories/farmersmarkets). This data has been processed from the original directory to remove duplicate locations, as well as a small subsample (25 markets) were corrected by hand in order avoid duplication across block group boundaries. This dataset is contemporary as of 5/20/2016, and downloaded from the USDA Agricultural Marketing Service (AMS) website. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

All credit for variables in AHRQ_included_variables.csv is attributed to

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This map runs on this app: http://nmcdc.maps.arcgis.com/home/item.html?id=2088cfcae5e84568bee211db7e226c28This map now includes updated Limited Food Access measures from the USDA, and income and poverty measures from the American Community Survey. Read the USDA's latest study (May, 2016) about access to food resources and the impact on nutrition - Recent Evidence on the Effects of Food Store Access on Food Choice and Diet QualityThe map shows the locations and categorizations of food licenses in New Mexico, updated in February 2016. The 2012 version can still be explored on the map. Categories include: Missions/Shelters, Produce/Growers Markets, Meat Markets, Delis, Prepackage/Convenience Stores, Fast Food, and Grocery Stores. The map also shows areas within 1 mile of a grocery store. The locations and schedules of the 2016 Farmers and Growers Markets, Double-Up Food Books sties, SNAP redemption stores, and Children's Summer Meals sites are displayed as well.Not included are food establishments on the Navajo Nation and some other tribal lands. For feedback or data requests contact nmcommunitydatacollaborative@gmail.com

Allows State agencies and sponsors to determine if a proposed site may be designated as rural for purposes of identifying a site as eligible for increased reimbursement in SFSP. To use the map, users must enter the address of the proposed site in the “Find Address or Place” box located on the right side of the screen. By pressing enter, the map will zoom to the location specified. Locations shaded in purple are non-rural; unshaded locations are rural.

A food desert is defined as having limited access to supermarkets, grocery stores or a source of healthy/affordable food. This indicator displays tracts having low food access at 1 mile for urban areas and 10 miles for rural areas. If the tract scores a 1, then there is low food access and if it scores a 0, then low food access is not identified. The Food Access Research Atlas, available from the USDA, offers valuable insights into food access indicators for low-income and other census tracts. Users can access various measures of supermarket accessibility and obtain data on food access for specific populations within census tracts. This interactive tool allows users to create maps showcasing food access indicators and compare data from different years, such as 2019 and previous measurements from 2015. Moreover, the atlas provides valuable census-tract-level data on food access, which can be downloaded for community planning and research purposes. To explore the Food Access Research Atlas and access its data,Visit: https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data/

This dataset contains research data compiled by the “Managing Water for Increased Resiliency of Drained Agricultural Landscapes” project a.k.a. Transforming Drainage. This project was funded from 2015-2021 by the United States Department of Agriculture, National Institute of Food and Agriculture (USDA-NIFA, Award No. 2015-68007-23193). Data are also available from a separate web-accessible application (drainagedata.org). At drainagedata.org, users can visualize the data with customized tools, query based on specific sites and measurements of interest, and access site photographs, maps, summaries, and publications. Additional data or edits made following the publication of this data here at USDA NAL Ag Data Commons will be posted under the Versions tab on drainagedata.org. These data began in 1996 and include plot- and field-level measurements for 39 experiments across the Midwest and North Carolina. Practices studied include controlled drainage, drainage water recycling, and saturated buffers. In total, 219 variables are reported and span 207 site-years for tile drainage, 154 for nitrate-N load, 181 for water quality, 92 for water table, and 201 for crop yield. The Transforming Drainage Project worked to advance the process of designing and implementing agricultural drainage systems for storing water in the landscape to improve the resiliency and productivity of agricultural systems. At each site, a control plot was paired with a plot with one of the following three practices to assess impacts. Controlled Drainage (CD) is the practice of using a water control structure to raise the depth of the drainage outlet, holding water in the field during periods when drainage is not needed. Drainage Water Recycling (DWR) diverts subsurface drainage water into on-farm ponds or reservoirs, where it is stored until it can be used by the crop later in the season through supplemental irrigation. Saturated Buffers (SB) remove nitrate from subsurface drainage water by diverting it into the buffer where it can be taken up by growing vegetation or removed by denitrification. Resources in this dataset:Resource Title: Field management - tillage. File Name: mngt_tillage_data.csvResource Description: Information about tillage operations performed in the research fields during the study periodResource Title: Field management – notes. File Name: mngt_notes_data.csvResource Description: General information about field conditions during the study periodResource Title: Field management – residue. File Name: mngt_residue_data.csvResource Description: Information about residue management in the research fields during the study periodResource Title: Field management – fertilizing. File Name: mngt_fertilizing_data.csvResource Description: Information about fertilizer application and soil amendments performed in the research fields during the study periodResource Title: Field management – harvesting. File Name: mngt_harvesting_data.csvResource Description: Information about harvesting operations performed in the research fields during the study periodResource Title: Field management – planting. File Name: mngt_planting_data.csvResource Description: Information about planting operations performed in the research fields during the study periodResource Title: Field management – irrigation. File Name: mngt_irrigation_data.csvResource Description: Information about irrigation operations performed in the research fields during the study periodResource Title: Field management – drainage water management. File Name: mngt_dwm_data.csvResource Description: Information about drainage water management in the research fields during the study periodResource Title: Weather data. File Name: weather_data.csvResource Description: On-site weather data collected in the research fields during the study periodResource Title: Soil physicochemical properties data. File Name: soil_properties_data.csvResource Description: Soil physicochemical measurements collected in the research fields during the study periodResource Title: Soil moisture data. File Name: soil_moisture_data.csvResource Description: Soil moisture, temperature and bulk EC measurements collected in the research fields during the study periodResource Title: Irrigation data. File Name: irrigation_data.csvResource Description: Amount of irrigation water applied to the research fields during the study periodResource Title: Stage data. File Name: water_stage_data.csvResource Description: Stage measurements in the wetlands during the study periodResource Title: Water table data. File Name: water_table_data.csvResource Description: Water table measurements collected in the research fields during the study periodResource Title: Water quality data. File Name: water_quality_data.csvResource Description: Water quality measurements collected from the research fields during the study periodResource Title: Methodology. File Name: meta_methods.csvResource Description: Description of the drainage system set up, sampling procedures, and other protocols used at each research site during the study periodResource Title: Plot treatment. File Name: meta_treatment_identifier.csvResource Description: List of treatments used across the research sites during the study periodResource Title: Plot description. File Name: meta_plot_characteristics.csvResource Description: Description of plots and corresponding drainage systems for each research siteResource Title: Agronomic data. File Name: agronomic_data.csvResource Description: Agronomic measurements collected in the research fields during the study periodResource Title: Site description. File Name: meta_site_characteristics.csvResource Description: Description of the research sitesResource Title: Drainage data. File Name: drain_flow_and_N_loads_data.csvResource Description: Drain flow and nitrate load measurements collected from the research fields during the study periodResource Title: Data dictionary. File Name: data_dictionary.csv

The USDA Beltsville Agricultural Research Center (BARC) Gridded Yield Data Archive is a multi-year, gridded yield data archive derived from yield monitor data acquired from over 40 production fields in Beltsville, MD. Production of the archive involved the projection of the yield monitor data into a geographic coordinate system suitable for mapping, the identification and removal of data outliers, and the production of gridded, spatially interpolated yield maps using block Kriging. All map products were produced in common, nonproprietary file formats for easy access.This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture.