{5437f70d-c37a-4b3a-a4d0-a501cd8fb19b}
eng; USA
utf8
dataset
EnviroAtlas Coordinator
U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas
Geospatial Data Owner
(919) 541-3832
109 T.W. Alexander Drive
Research Triangle Park
NC
27709
EnviroAtlas@epa.gov
https://www.epa.gov/enviroatlas
pointOfContact
2025-07-23
ISO 19115 Geographic Information - Metadata
ISO 19115:2003/Cor.1:2006(E)
EnviroAtlas - Farm Service Land Rental Rates by County for the United States
2017-02-07
publication
U.S. EPA Office of Research & Development (ORD) - National Exposure Research Laboratory (NERL)
Research Triangle Park
NC
publisher
US Environmental Protection Agency (US EPA)
originator
This EnviroAtlas data set depicts estimates for mean cash rent paid for land by farmers, sorted by county for irrigated cropland, non-irrigated cropland, and pasture by for most of the conterminous US. This data comes from national surveys which includes approximately 240,000 farms and applies to all crops. According to the USDA (U.S. Department of Agriculture) National Agricultural Statistics Service (NASS), these surveys do not include land rented for a share of the crop, on a fee per head, per pound of gain, by animal unit month (AUM), rented free of charge, or land that includes buildings such as barns. For each land use category with positive acres, respondents are given the option of reporting rent per acre or total dollars paid. 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).
The purpose of this data set is to identify the mean cash rental rates for farmland in each county for available years on record. This information can be used in making decisions regarding renting and leasing farmland. The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation.
completed
EnviroAtlas Coordinator
U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas
Geospatial Data Owner
(919) 541-3832
109 T.W. Alexander Drive
Research Triangle Park
NC
27709
EnviroAtlas@epa.gov
https://www.epa.gov/enviroatlas
pointOfContact
asNeeded
Ecosystem
Environment
theme
EPA GIS Keyword Thesaurus
Agriculture
Economy
Ecosystem Services
EnviroAtlas
Environment
Environmental Atlas
Human
Land
theme
EnviroAtlas
Alabama
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
United States
Utah
Vermont
Virginia
Washington
Washington DC
West Virginia
Wisconsin
Wyoming
place
None
https://edg.epa.gov/EPA_Data_License.html
otherRestrictions
Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.
otherRestrictions
Access Constraints: None.
PUBLIC
https://project-open-data.github.io/schema/#accessLevel
Standard Technical Controls
eng; USA
environment
-128.02839229
-65.20336449
22.7348894
51.6773602
2017-01-04
2017-01-06
Note: To properly display data, should select Quantities -> "Graduated colors" and changed the first class to be "0 - 0" with the corresponding label of "No Data"
true
Entity and Attribute Information
Entity and Attribute Overview: This dataset contains mean, maximum, and minimum rents paid by farmers for irrigated cropland, non-irrigated cropland, and pasture. It is based on FSA survey data. A comprehensive list of metric creation steps is included in the Processing Steps. For more information about EnviroAtlas data, go to https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets Entity and Attribute Detail Citation: https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets
EnviroAtlas Coordinator
U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas
Geospatial Data Owner
(919) 541-3832
109 T.W. Alexander Drive
Research Triangle Park
NC
27709
EnviroAtlas@epa.gov
https://www.epa.gov/enviroatlas
distributor
https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip
download
Download
The URL providing direct access to the downloadable dataset.
download
https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip
ESRI:ArcGIS
API
The endpoint of a web service to access the dataset (REST endpoint, WMS GetCapabilities URL, or a SOAP WSDL endpoint).
webMapService
https://www.epa.gov/enviroatlas/enviroatlas-data
information
Documentation
URL for accessing related documents such as data dictionary, technical information about a dataset, developer documentation, etc.
information
https://www.epa.gov/enviroatlas
information
Home Page
Alternative landing page used to redirect user to a contextual, Agency-hosted "homepage" for the Dataset or API
information
dataset
Horizontal Positional Accuracy Report
Data were collected using methods that have unknown accuracy (EPA National Geospatial Data Policy [NGDP] Accuracy Tier 10). For more information, please see EPA's NGDP at https://www.epa.gov/geospatial/geospatial-policies-and-standards
Features represented have not been tested for completeness
Features represented have not been tested for completeness
Tests for integrity have not been performed.
This lineage was generated by the FGDC CSDGM to 19139 transformation
Download original Farm Service Agency (FSA) Cash Rents Survey dataset from NASS website.
2017-01-04T00:00:00
Remove non-unique or duplicate fields from .csv
2017-01-04T00:00:00
Rename fields, remove spaces and characters to allow .csv to be read into ArcMap.
2017-01-04T00:00:00
Split entries by "County_ANSI" and "OTHER (COMBINED) COUNTIES" with and w/o numerical values to separate files (with = GEOID_Counties) (without = Combined_Counties)
2017-01-04T00:00:00
Convert GEOID_Counties county field to proper case
2017-01-04T00:00:00
For GEOID_Counties, use find and replace County names to match Tiger 2010 shapefile fields
2017-01-04T00:00:00
In ArcMap, change projection of 2010 Tiger counties to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version.
2017-01-04T00:00:00
In ArcMap, Add Field (Long), name GEOID, Field Calculator Int([GEOID 10]) to get integer matching field
2017-01-04T00:00:00
Export dBase table from ArcMap, match with GEOID_Counties in new .csv using special sort (Match State to STATE_NAME, and County to NAME10, return GEOID10)
2017-01-04T00:00:00
In ArcMap, join GEOID_Counties to shapefile, create separate shapefile and dBase table for counties without matching entries.
2017-01-04T00:00:00
Match remaining Combined_Counties according to Ag_District Code with dBase of missing entries using NASS Agricultural District Maps. Leave out independent VA cities, Washington D.C. and Rhode Island which do not have Combined_Counties data.
2017-01-04T00:00:00
For each .csv, format cells for python processing (replace blank cells with 0, format numbers to remove commas)
2017-01-04T00:00:00
Create output file and run a python script that reduces counties to one entry each.
2017-01-05T00:00:00
Create new .csv from output with land use statistics fields and GEOID, find and remove (replace) brackets, commas and apostrophes to format for secondary python processing.
2017-01-05T00:00:00
Execute a secondary python script that calculates minimum, mean, and maximum.
2017-01-05T00:00:00
Replace no value cells for all calculations except RANGE with 0 so they can be displayed in ArcMap.
2017-01-05T00:00:00
Recombine both Combined_Counties and GEOID_Counties into one .csv such that every entry has an associated GEOID.
2017-01-06T00:00:00
Add back in independent VA cities, Washington D.C. and Rhode Island with their GEOIDs, leaving calculation fields blank so that all entries will properly join back with ArcMap Tiger Census data.
2017-01-06T00:00:00
unknown
2029-07-23
This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2024-02-09T11:11:00 version of the FGDC CSDGM to ISO 19139 transform.
EnviroAtlas Coordinator
U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas
Geospatial Data Owner
(919) 541-3832
109 T.W. Alexander Drive
Research Triangle Park
NC
27709
EnviroAtlas@epa.gov
https://www.epa.gov/enviroatlas
pointOfContact