Title:
2022
Census of Agriculture State-Level Boundaries, (stUSAKHI_LAEA_2022.shp -.shx,
-.dbf, -.sbn, -.sbx, -.prj)
Abstract:
The
United States Department of Agriculture (USDA), National Agricultural
Statistics Service (NASS) conducted an Agricultural Census in 2022. The
statistical census data are summarized at the state, county, and U.S. levels
and are available in a digital format. The Research and Development Division of
NASS modified generalized state boundaries to show geographic areas for which
the 2022 Agricultural Census statistics are reported at the state level. These
NASS state-level boundary files were used in the production of the 2022 United
States Census of Agriculture, Agricultural Census Web Maps. The boundary files
can be employed in a desktop or online Geographic Information System (GIS) with
the 2022 Agricultural Census statistical data by using the NASS Agricultural
Census state codes to associate the state-level spatial entities with the NASS
state-level statistical data.
Supplemental_Information:
These
NASS Agricultural Census state-level boundary files may be used with
statistical data in the 2022 Census of Agriculture, Volume 1, Geographic Area
Series, Parts 1 - 50.
United
States Department of Agriculture (USDA), National Agricultural Statistics
Service (NASS) Research and Development Division (RDD), Spatial Analysis
Research Section (SARS), 2024, 2022 Census of Agriculture State-Level
Boundaries, (stUSAKHI_LAEA_2022.shp -.shx, -.dbf, -.sbn, -.sbx, -.prj): U.S.
Department of Agriculture, National Agricultural Statistics Service,
Washington, DC.
Online Links:
Beginning_Date: 2022
Ending_Date: 2024
Currentness_Reference:
2024: Publication of US, AK, HI state-level boundaries and
land areas in a single shapefile. 2024-2023: Production of NASS state-level
boundaries and land areas.
a. How are geographic features
stored in the data set?
Indirect_Spatial_Reference:
American
National Standards Institute, 2009, Information Technology Codes for the
Identification of the States, and Equivalent Areas within the United States,
Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C.,
American National Standards Institute. https://webstore.ansi.org/RecordDetail.aspx?sku=INCITS+38-2009%5bR2014%5d
https://www.census.gov/geo/reference/ansi.html
This
is a Vector data set. It contains the following vector data types (SDTS
terminology):
§ G-Polygon (50)
b. What coordinate system is
used to represent geographic features?
The map projection used is Lambert Azimuthal Equal Area.
Projection parameters:
Longitude_of_Projection_Center: -100.0
Latitude_of_Projection_Center: 45.0
False_Easting: 0.0
False_Northing: 0.0
Planar coordinates are
encoded using coordinate pair
Abscissae (x-coordinates) are specified to the nearest 0.001
Ordinates (y-coordinates) are specified to the nearest 0.001
Planar coordinates are specified in meters
stUSAKHI_LAEA22
NASS State-level boundaries of geographic areas for which
2022 Agricultural Census statistics are reported. (Source: USDA, National
Agricultural Statistics Service.)
FID
Internal feature identification number. (Source: ESRI)
Sequential unique whole numbers automatically generated.
SHAPE
Feature geometry. (Source: ESRI) Coordinates defining
the features.
ATLAS_ST
NASS state-equivalent ANSI code. (Source: USDA, National
Agricultural Statistics Service)
Formal codeset |
|
Codeset Name: |
American
National Standards Institute, 2009, Information Technology Codes for the
Identification of the States, and Equivalent Areas within the United States,
Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C.,
American National Standards Institute. |
Codeset Source: |
American
National Standards Institute |
ST_ABBREV
NASS State equivalent abbreviation. (Source: USDA, National
Agricultural Statistics Service)
Formal codeset |
|
Codeset Name: |
American
National Standards Institute, 2009, Information Technology Codes for the
Identification of the States, and Equivalent Areas within the United States,
Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C.,
American National Standards Institute. |
Codeset Source: |
American
National Standards Institute. |
ATLAS_NAME
Lowercase NASS state equivalent name. (Source: USDA,
National Agricultural Statistics Service)
Formal codeset |
|
Codeset Name: |
American
National Standards Institute, 2009, Information Technology Codes for the
Identification of the States, and Equivalent Areas within the United States,
Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C.,
American National Standards Institute. |
Codeset Source: |
American
National Standards Institute |
ATLAS_CAPS
Uppercase NASS state equivalent name. (Source: USDA,
National Agricultural Statistics Service)
Formal codeset |
|
Codeset Name: |
American
National Standards Institute, 2009, Information Technology Codes for the
Identification of the States, and Equivalent Areas within the United States,
Puerto Rico, and the Insular Areas (INCITS 38–2009[R2014]): Washington, D.C.,
American National Standards Institute. |
Codeset Source: |
American
National Standards Institute |
ATLAS_AREA
Land area in square miles of a NASS state equivalent.
(Source: USDA, National Agricultural Statistics Service)
Range of values |
|
Minimum: |
1033.89
(actual value, not min. range value) |
Maximum: |
571023.318
(actual value, not max. range value) |
Units: |
Square
mile |
ATLAS_ACRE
Land area in acres of a NASS state equivalent. (Source:
USDA, National Agricultural Statistics Service)
Range of values |
|
Minimum: |
661689.6
(actual value, not min. range value) |
Maximum: |
365454932.52
(actual value, not max. range value) |
Units: |
Acre |
ENTITY
Type of NASS state-level entity. (Source: USDA, National
Agricultural Statistics Service)
Value |
Definition |
State,
State Equivalent |
Type
of state-level entity. |
CENSUS_YR
Census of Agriculture Year for state-level boundaries.
(Source: USDA, National Agricultural Statistics Service)
Value |
Definition |
2022 |
Census
of Agriculture year. |
Research and Development Division staff
USDA
NASS, Spatial Analysis Research Section Staff
USDA
NASS, Spatial Analysis Research Section
1400
Independence Avenue, SW, Room 5029 South Building
Washington,
District of Columbia
800-727-9540 (voice)
855-493-0447 (FAX)
SM.NASS.RDD.GIB@usda.gov
The boundaries are intended for geographic display and analysis at the state level. The boundary data are designed for small scale thematic mapping applications at a scale of 1:20,000,000 or smaller (e.g., 1:50,000,000, etc.). The state-level boundaries are provided "as is". The USDA/NASS does not warrant the results you may obtain using the Agricultural Census state-level boundary data.
BOCUSST22 (source 1 of 7)
U.S. Bureau of the Census, Geography Division, 2022,
usda_2022_us_state_20m feature class (Generalized digital vector state polygon
files): U.S. Bureau of the Census, Geography Division, Suitland, MD.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information
SQMIUSST22 (source 2 of 7)
USDA, National Agricultural Statistics Service, 2023, NASS
2022 Agricultural Census state-level boundary file created with land area in
square miles: USDA, National Agricultural Statistics Service, Washington, DC.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information
ACREUSST22 (source 3 of 7)
USDA, National Agricultural Statistics Service, 2023, NASS
2022 Agricultural Census state-level boundary file attributed and land acreage
calculated: USDA, National Agricultural Statistics Service, Washington, DC.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information
USCOAST_WMS12 (source 4 of 7)
USDA, National Agricultural Statistics Service, 2013, 2012
Agricultural Census US coastline boundary file: USDA, National Agricultural
Statistics Service, Washington, DC.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial information
USSTCLIP_WMS22 (source 5 of 7)
USDA, National Agricultural Statistics Service, 2023, NASS
2022 Agricultural Census state-level boundary file clipped to 2012 coastline:
USDA, National Agricultural Statistics Service, Washington, DC.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information
STUSAKHI_AEA22 (source 6 of 7)
USDA, National Agricultural Statistics Service, 2023, NASS
2022 Agricultural Census state-level boundary files extracted and projected for
US, AK, HI: USDA, National Agricultural Statistics Service, Washington, DC.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information
StUSAKHI_LAEA22 (source 7 of 7)
USDA, National Agricultural Statistics Service, 2024, Final
reprojected NASS 2022 Agricultural Census state-level boundary files for US,
AK, HI: USDA, National Agricultural Statistics Service, Washington, DC.
Type_of_Source_Media: online
Source_Scale_Denominator: 20000000
Source_Contribution: spatial and attribute information
Date: 2023 (process 1 of 6)
1 - Creation of NASS Agricultural Census state-level
boundary file. Use state boundary and attribute source files provided by the
Bureau of the Census. State boundaries were aggregated (dissolved) on the NASS
Agricultural Census state (ANSI) codes. State land area values were summed to
produce state land area values in square miles (District of Columbia aggregated
with Maryland). Data sources used in this process:
Data sources produced in this process:
Date: 2023 (process 2 of 6)
2 - Update of state-level boundary file. The 2022
Agricultural Census state boundary files were updated with 2022 attribute
values. The state acreage fields were populated by multiplying the state land
area in square miles by 640 (1 square mile = 640 acres). Data sources used in
this process:
Data sources produced in this process:
Date: 2013 (process 3 of 6)
3 - Create coastline of the 2012 1:20,000,000 scale
Agricultural Census boundary file. Dissolve the 2012 1:20,000,000 scale
Agricultural Census state-level boundary file to create a coastline boundary
file (more detailed than 2022 1:20,000,000 scale coastline). Data sources used
in this process:
Data sources produced in this process:
Date: 2023 (process 4 of 6)
4 - Clip 2022 Agricultural Census state-level boundary file.
Projected 2012 1:20,000,000 US coastline boundary file and used it to clip the
2022 1:20,000,000 scale NASS Agricultural Census state-level boundary file.
Clipping the 2022 state-level boundary file by the 2012 coastline adds more
detail (e.g., coastal inlets) to the 2022 state-level boundary file. Data
sources used in this process:
Data sources produced in this process:
Date: 2023 (process 5 of 6)
5 - Extract and project clipped NASS Agricultural Census
state-level boundary files. Extracted NASS 2022 clipped Agricultural Census
state-level boundary files to create separate shapefiles for the continental
US, AK, and HI. Reprojected shapefiles to custom Albers Equal Area projections.
Data sources used in this process:
Data sources produced in this process:
Date: 2023 (process 6 of 6)
6 - Project NASS Agricultural Census state-level boundary
file to Lambert Azimuthal Equal Area. Merged separate shapefiles for the
continental US, AK, and HI to a single shapefile and reprojected the shapefile
to Lambert Azimuthal Equal Area; added Census year attribute. Data sources used
in this process:
Data sources produced in this process:
Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:None. Acknowledgment of the U.S. Department of Agriculture, National Agricultural Statistics Service would be appreciated in products derived from these data files.
USDA,
NASS Customer service
1400
Independence Avenue, SW, Room 5038-S
Washington,
District of Columbia
USA
1-800-727-9540 (voice)
855-493-0447 (FAX)
SM.NASS.RDD.GIB@usda.gov
Users of the Agricultural Census state-level boundary data are solely responsible for interpretations made from the product. The boundary data are provided "as is". USDA/NASS does not warrant results you may obtain by using the boundary data. Feel free to contact our staff at (SM.NASS.RDD.GIB@usda.gov) if technical questions arise in the use of the state-level boundary data.
Data format: |
ESRI
Shapefile (.shp, .shx., .dbf, .sbn, .sbx, .prj) Size: .480 |
Network links: |
Dates:
Last modified: 21-Aug-2024
Metadata
author:
USDA NASS, Spatial Analysis Research Section
1400 Independence Avenue, SW, Room 5029 South Building
Washington, DC
USA
800-727-9540 (voice)
7855-493-0447 (FAX)
SM.NASS.RDD.GIB@usda.gov
Metadata
standard:
FGDC Content Standards for Digital Geospatial Metadata
(FGDC-STD-001-1998)
Generated by mp version 2.9.46 on Wed Aug 21 2024