U.S. Geological Survey, National Geospatial Technical Operations Center
20180807
USGS Topo Map Vector Data (Vector) 76424 Betty Well, Arizona 20180807 for 7.5 x 7.5 minute Shapefile
vector digital data
Reston, VA
U.S. Geological Survey
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/TopoMapVector/AZ/Shape/VECTOR_Betty_Well_AZ_7_5_Min_Shape.zip
U.S. Geological Survey
2021
Combined Vector
https://www.sciencebase.gov/catalog/item/5135fc88e4b03b8ec4025bc9
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures,
and other selected map features.
This dataset depicts geographic features on the surface of the earth. It is a general purpose dataset for users who are not GIS
experts. The geospatial data in this dataset are from selected National Map data holdings and other government sources.
{"inventory":"9c826afe-bad5-b378-6603-8f44a6917e73"}
20110714
20180510
publication date
Irregular
-109.875
-109.75
35.3750000000001
35.2500000000001
None
contours
transportation
structures
geographic names
hydrography
boundary
Public Land Survey System
woodland
Combined Vector
7.5 x 7.5 minute
Shapefile
Geographic Names Information System
US
United States
AZ
Arizona
ApacheCounty
NavajoCounty
The National Map Type Thesaurus
Downloadable Data
The National Map Theme Thesaurus
Combined Vector
The National Map Collection Thesaurus
Combined Vector
The National Map Product Extent Thesaurus
7.5 x 7.5 minute
The National Map Product Format Thesaurus
Shapefile
None
None. However, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of
this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness
of its limitations. Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data.
https://prd-tnm.s3.amazonaws.com/StagedProducts/TopoMapVector/AZ/Shape/VECTOR_Betty_Well_AZ_7_5_Min_Shape.jpg
Thumbnail JPG image
JPEG
Content is derived from USGS national geospatial databases. The data is owned and hosted by the USGS, but does not preclude using data
sources owned and hosted by other organizations, provided that these sources have been approved by the USGS data program.
This product is a layered set of data. This design is based on use of specific commercial software systems therefore any changes to the
software specifications and dependencies will be followed by the USGS and codified in the product standard.
Each layer is extracted from the USGS national geospatial databases.
There is a diversity of national data sources in this product. Although the data accuracy varies, the data generally have high
enough horizontal accuracy to support NMAS and mapping at 1:24,000 scale. NMAS horizontal accuracy requires that at least 90 percent of
well-defined points tested are within 0.02 inch of the true position.
Contours are generated from the National Elevation Dataset (NED). The most recently published figure of overall absolute vertical
accuracy of the NED within the conterminous US, expressed as the root mean square error (RMSE) of 25,310 reference points is 1.55 meters.
However, the vertical accuracy actually varies significantly across the US because of differences in source quality, terrain relief, land
cover, and other factors. Details of this analysis are published in "Accuracy Assessment of the U.S. Geological Survey National Elevation
Dataset, and Comparison with Other Large-Area Elevation Datasets-SRTM and ASTER: U.S. Geological Survey Open-File Report 2014-1008,"
http://pubs.usgs.gov/2014.1008/ .
U.S. Geological Survey
20180807
Land Cover - Woodland
Vector digital data
The Woodland Tint is a derivative land cover product created using several national map layers: three National Land Cover Database (NLCD) 2011 raster layers (Tree Canopy, Imperviousness, and Land Cover); and two vector layers (National Hydrography Dataset and Transportation). The process begins with masking the NLCD 2011 Tree Canopy Data cartographic with NLCD 2011 Imperviousness (values from 1-100), and NLCD 2011 Land Cover (value 11 = Open Water). The resulting raster data with canopy values of 20 and greater are converted to woodland vector polygons and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation (Roads, Airport Runways, and Railroads) and Hydrography (NHD Areas excluding Inundation Area and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted. For Hawaii and Puerto Rico, two National Land Cover Database (NLCD) raster layers (Tree Canopy 2011 and Imperviousness 2001): and two vector layers(National Hydrography Dataset and Transportation) are used. The resulting raster data is carried out as before to produce the polygon vector data. For Alaska, the Woodland Tint is a derivative land cover product created using five national map layers: one raster layer, National Land Cover Database (NLCD) 2011 (Land Cover); and four vector layers (National Hydrography Dataset, Transportation Roads, Transportation Airports and Transportation Railroads). The process begins with combining three NLCD 2011 Land Cover V1 Classes (41 - Deciduous Forest, 42 - Evergreen Forest, and 43 - Mixed Forest). The resulting raster data was converted to woodland vector polygons, and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation (Roads, Airport Runways, and Railroads) and Hydrography (NHD Areas excluding Inundation Areas and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted.
http://nationalmap.gov
https://www.mrlc.gov/nlcd2011.php
24000
digital data
2016
2016
publication date
Land Cover - Woodland
National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset
U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency, USDA Forest Service, and other Federal, State and local partners. National Hydrography Dataset is a component of a comprehensive base geospatial data model.
20180807
Hydrography
vector digital data
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. The high-resolution NHD was originally created using 1:24,000-scale data. State and Local Stewards are improving the data by incorporating local updates based on more current and more accurate source data. Water features in the real world are relatively dynamic and the differences at the time of data collection mean that water features may not register exactly to other layers. The hydrographic feature names contained in and displayed by the NHD are extracted and validated from the Geographic Names Information System (GNIS). Spatial objects may be filtered or generalized to achieve a 1:24,000-scale representation.
http://nhd.usgs.gov/
http://nhd.usgs.gov/gnis.html
http://nhdgeo.usgs.gov/metadata/nhd_high.htm
24000
digital data
20100820
20100820
publication date
Hydrography
Hydrography features and feature names
Global Land Ice Measurements from Space initiative (GLIMS)
20180807
Gaging Stations
vector digital data
This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Only active stations, as identified by the GAGES II dataset, are symbolized.
http://water.usgs.gov/lookup/getspatial?gagesII_Sept2011
http://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml
24000
digital data
publication date
Hydrography - Gaging Stations
Hydrography features and gaging stations
U.S. Geological Survey, National Geospatial Technical Operations Center - National Elevation Dataset is a component of a comprehensive base geospatial data model.
20180807
Hypsography
Vector digital data
This contour featureclass was generated from the 1/3 arc-second version of the 3D Elevation Program. The intended viewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achieve smoother arcs. In some areas, the 3DEP data may be modified by the National Hydrography Dataset (NHD) flow lines and water bodies to facilitate improved integration between the hypsography and hydrography on USGS map products. These contours were generated primarily for use as a layer in GeoPDFs created in the digital mapping program. The raster data source of contours is the 3D Elevation Program 1/3 arc-second layer. Secondary datasets include the high resolution flow lines, water bodies, and areas from the National Hydrography Dataset (NHD). The NHD layers are used in hydro-enforcement of the DEM prior to contour generation. The goals of the hydro-enforcement are to prevent contour lines from extending over the surface of water bodies and to align the contour reentrants with the NHD single- line streams. The 3DEP raster cells are converted to points. Those points, along with the NHD flow lines are input into an interpolation tool to create a new surface. The NHD water bodies and areas are preprocessed to attach the minimum and maximum elevation to each polygon. From these precalculated values, an appropriate value is calculated by which to raise the elevation cells under the NHD polygons. The NHD polygons are then converted into rasters, which in turn will be used to generate a mosaic that includes the new raster surface. The mosaic is filtered to provide smoother contour lines. Contours are generated and depression and index contours are identified. There is no guarantee or warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since these data were collected and generated and that some parts of these data may no longer represent actual surface conditions. Hydro-enforcement and generalization can also significantly alter the spatial characteristics of the contours. Users should not use these data for critical applications without a full awareness of its limitations.
http://Hs.gov/
24000
digital data
publication date
Hypsography
Contours
USFS
20180807
Transportation, USFS FSTopo roads
Vector digital data
The FSTopo database was originally populated with Cartographic Feature File (CFF) data. CFF data were derived from the standard
Forest Service Primary Base Series (PBS) or Single Edition Series (SES) map as part of the Forest Service National Geographic
Information System Plan. PBS and SES maps were developed from the U.S. Geological Survey 1:24,000-scale, 7.5-minute topographic map
series, with enhancements and regular revisions to satisfy Forest Service needs. Except in Alaska, where 1:63,360-scale maps are used,
the original USGS 1:24,000-scale source maps were constructed to meet National Map Accuracy Standards, which require that 90 percent of
all well-defined features shown on the map are within .02 inches of their true location. CFF data were collected using methods and the
best technologies available to ensure that digitized elements were captured within .003 inches of corresponding elements shown on source
maps. The USDA Geospatial Service and Technology Center (GSTC) uses the same data collection accuracy standard for additions and
revisions to the data. Only maps in USDA Forest Service areas will contain USDA Forest roads.
http://www.fs.fed.us/gstc/
24000
digital data
2012
2015
publication date
Roads - USFS FSTopo
Road centerlines, route numbers, road classification, street names
Federal Railroads Administration
20180807
Transportation, Railroads
Vector digital data
Railroad are acquired annually from the FRA. Rail lines and sidings are converted into the National Transportation
Dataset. The rail lines layer represents the freight lines of the nation's railroad system. The data set covers all 50
states and the District of Columbia, as well as territories and possessions of the United States. No rail lines exist in
American Samoa, Guam, Northern Mariana Islands, and the Virgin Islands of the US.
24000
digital data
2016
2016
publication date
Federal Railroads Administration
Main track centerlines
Federal Aviation Administration
20180807
Airports
Vector digital data
Airport points and runway polygons are for Federal Aviation Administration (FAA)-recognized public and private
airports in the United States. FAA airports and runway shapefiles are used to the update the existing airports and runways
in the National Transportation Dataset. Digital data were inspected for attribute accuracy, spatial accuracy, and
completeness.
http://www.faa.gov
24000
digital data
2011
2012
publication date
Transportation - Airports
runways
Various government agencies and volunteer organizations
20180807
Recreational Trails
Vector digital data
The first recreational trails were added to US Topo maps in 2013. The data for trails come from a variety of
sources. Accuracy and currency is the responsibility of the data owner; USGS evaluates the authoritativeness of the source
but does not independently verify data accuracy. Trails are not complete, and will not be complete for the foreseeable
future. Trails will be added as data become available from land management agencies and other authoritative sources. All
recreational trails information presented on US Topo maps is public domain, though the original source data is not
necessarily public domain. This metadata section documents all data sources for all maps, not this specific map. Trails
listed here are not guaranteed to be present on all relevant maps, due to schedule differences between data delivery and
US Topo production schedules. Feature-level metadata is not provided in the US Topo product; there is no link between a
line on the map and the source of that specific trail. Notes on data sources follow --------- For the 11 National Scenic
Trails (NST): Ice Age National Scenic Trail: data provided by the volunteer organization Ice Age Trail Alliance,
http://www.iceagetrail.org, in cooperation with National Park Service and Wisconsin Department of Natural Resources. -
Pacific Crest National Scenic Trail: unpublished data provided by US Forest Service - Appalachian National Scenic Trail:
data published by the Appalachian Trial Conservancy, http://appalachiantrail.org/about-the-trail/mapping-gis-data, in
cooperation with National Park Service - North Country National Scenic Trail: unpublished dataset provided by National
Park Service - Arizona National Scenic Trail: data from AZGEO Clearinghouse, https://azgeo.az.gov/azgeo/, in cooperation
with U.S. Forest Service - Pacific Northwest National Scenic Trail: unpublished data provided by US Forest Service -
Natchez Trace National Scenic Trail: unpublished dataset provided by National Park Service --------- For other trail types
and sources: US Fish and Wildlife Service lands: the USFWS Hiking Trails Inventory is administered by the US Department of
Transportation Federal Highway Administration, and Pacific Western Technologies, LTD. The purpose of the dataset is to
create a baseline inventory of all non-motorized trails on US Fish and Wildlife Service Stations. - US Forest Service
lands: trails within National Forests are from unpublished data provided by USFS. These data are developed from sources of
differing accuracy. US Topo does not portray access and travel management information indicating which trails are managed
for or open to specific modes of travel (motorized/non-motorized) or associated seasons of use. USFS trails (other than
selected NSTs described above) are currently shown on US Topo only in Colorado. - The International Mountain Bicycling
Association, IMBA, shares their bicycle trails data with USGS as part of an ongoing partnership. IMBA-collected trails are
generally not shown inside delineated Federal lands (e.g., National Forests) on US Topo maps.
https://www.nps.gov/subjects/nationaltrailssystem/index.htm
http://www.pnts.org
http://www.fws.gov/gis/data/national/
https://www.imba.com/
24000
digital data
2006
2018
publication date
Recreational Trails
Trail centerline
U.S. Census Bureau, Geography Division
20180807
Transportation, Census Roads
vector digital data
Dataset source is Census Bureau MAF/TIGER database extracts in the form of TIGER/Line Shapefiles. The TIGER/Line
shapefiles and related database files are an extract of selected geographic and cartographic information from the U.S.
Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database
(MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line
shapefile is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The
U.S. Geological Survey filters Census roads to remove short road segments which are less than 500 feet in length, are not
named and are classified as local roads. The USGS National Transportation Dataset functional road classification system is
applied to the Census datasets. The original TIGER/Line Shapefile products are not copyrighted however TIGER/Line and
Census TIGER are registered trademarks of the U.S. Census Bureau. The horizontal spatial accuracy information present in
the TIGER/Line shapefiles is provided for the purposes of statistical analysis and census operations only and the data may
not be suitable for high-precision measurement applications. Full metadata for TIGER/Line shapefiles is available from
U.S. Census Bureau
http://www.census.gov/geo/maps-data/data/tiger.html
24000
digital data
2013
2018
publication date
Roads - Census
Road centerlines, route numbers, road classification, street names
Alaska Railroad Corporation
20180807
Transportation, Railroads
Vector digital data
This record applies to Alaska data only. Railroad data is provided by the Alaska Railroad Corporation, and may not
include other owner's rail features. Unpublished data provided directly to USGS. Current as of 2012. For more information,
contact Alaska Railroad Corporation, 327 W. Ship Creek Ave., Anchorage, AK. 99501, phone 907-265-3100, or
emailgrunwaldm@akrrr.com
25000
digital data
2012
2012
publication date
Railroads - Alaska Railroad Corporation
Main track centerlines
Alaska Department of Transportation
20180807
Transportation, public domain roads
Vector digital data
This record applies to Alaska data only. Roads gathered from various state and local sources, integrated by the
Alaska Department of Transportation (ADOT) and provided to USGS for use in USGS map products. This specific road dataset
is unpublished, but earlier versions are published on the ADOT web site.
http://www.dot.state.ak.us/stwdplng/mapping/
25000
digital data
2013
2013
publication date
Roads - Alaska Department of Transportation
Road centerlines, road classification, street names
International Boundary Commission
20180807
U.S.-Canada National Boundary
vector digital data
The boundary is a digital representation of the International boundary between the United States and Canada as per the Treaty of
1908. It has been generated from a combination of recent surveys and datum conversions. It is intended for general mapping purposes
only. The boundary dataset is composed of 29 segments that correspond to the original 256 boundary maps. Attributes of each segment
define the scale in which the line in that area may be accurately depicted. It is produced for mapping purposes only and not intended to
illustrate the boundary beyond the limits of the scale for any given segment
http://www.internationalboundarycommission.org/
http://www.internationalboundarycommission.org/index-eng.html
digital data
2006
2015
publication date
U.S. / Canada International Boundary
International Boundary between Canada and the United States
U.S. Geological Survey, U.S. Department of Agriculture, and the Instituto Nacional de Estadistica y Geografia of Mexico.
20180807
U.S.-Mexico National Boundary
vector digital data
The international boundary between Mexico and the United States, defined as a joint venture between the U.S. Department of
Agriculture (USDA) and the Instituto Nacional de Estadistica y Geografia of Mexico (INEGI), resulted in an unofficial United
States-Mexico boundary dataset that was further enhanced by the U.S. Geological Survey's Border Environmental Health Initiative (BEHI).
With the data frame scale set to 1:5,000 in ArcMap, the center of the Rio Grande/Rio Bravo was digitized using the NAIP 2004 Imagery. In
areas with dense stands of salt cedar (bounding box = UL -104.714 30.038, UR -104.664 30.037, LR -104.666 29.933, LL -104.717 29.934;
NAD83), the center of the channel was difficult, and sometimes impossible, to easily determine. To determine the location of the
boundary, the GIS analyst compared the location of the line in the INEGI 1:250K Limite feature class with the NAIP 2004 Imagery and
adjusted the boundary to the image, thus, the delineation of the international boundary is less certain in these areas. The remaining
part of the border was extracted from the INEGI 1:250K Limite feature class and appended to the line feature class created along the Rio
Grande/Rio Bravo. The U.S. Geological Survey reviewed the original USDA data against 2007 NAIP imagery and further edited 9 line
segments in the Rio Grande areas to conform to National Map Accuracy Standards.
https://ibwc.gov/GIS_Maps/GIS_Program.html
digital data
1972
2006
publication date
U.S. / Mexico International Boundary
International Boundary between Mexico and the United States
U.S. Department of Agriculture (USDA) Forest Service - Washington Office Automated Lands Program (ALP).
20180807
USDA Forest Service Boundary
vector digital data
The forest service boundaries defined by the USDA Forest Service encompassing the National Forest System (NFS) lands within the
original proclaimed National Forests, along with lands added to the NFS which have taken on the status of 'reserved from the public
domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest,
Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area. The nationwide Proclaimed
Forest dataset was created by the USDA Forest Service, Washington Office Automated Lands Program (ALP) staff from collected source data
created by the Regional Offices. Only maps in USDA Forest Service areas will contain USDA Forest boundaries.
24000
digital data
2009
2017
publication date
USDA Forest Service Boundaries
National Forest Service Boundaries
Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration
Directorate
20180807
U.S. Military Installations, Ranges, and Training Areas
vector digital data
This dataset depicts the authoritative boundaries of the most commonly known Department of Defense (DoD) sites, installations,
ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise
managed. This dataset was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program. This dataset represents the
baseline for georeferenced boundaries of sites selected from the 2010 Base Structure Report. The boundary locations are intended for
planning purposes only and do not represent the legal or surveyed land parcel boundaries. This list does not necessarily represent a
comprehensive collection of all DoD facilities, and only those in the fifty United States and US Territories were considered for
inclusion. Maps produced at a scale of 1:50,000 or larger which otherwise comply with National Map Accuracy Standards will remain
compliant if this data is incorporated. Although these data have been provided by the DoD components, no warranty expressed or implied
is made regarding the utility of the data on any other system, in derived products or data alterations, nor shall the act of
distribution constitute such warranty.
https://www.acq.osd.mil/eie/BSI/BEI_DISDI.html
50000
digital data
2011
2017
publication date
U.S. Department of Defense Military Installations
Boundary lines, installation names
U.S. Census Bureau
20180807
State and Equivalent Boundary
vector digital data
The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey, and
publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration.
http://www.census.gov/geo/maps-data/data/tiger.html
digital data
2013
2016
publication date
State Boundaries
State and Equivalent Boundary
U.S. Census Bureau
20180807
County and Equivalent Boundary
vector digital data
The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS), and
publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo.
http://www.census.gov/geo/maps-data/data/tiger.html
digital data
2013
2017
publication date
County Boundaries
County and Equivalent Boundary
U.S. Census Bureau
20180807
Incorporated Places Boundary
vector digital data
The boundaries of most incorporated places are as of January 1, 2017, as reported through the Census Bureau's Boundary and
Annexation Survey. Limited updates that occurred after January 1, 2017, such as newly incorporated places, are also included. The
boundaries of all Census Designated Places (CDP) were delineated as part of the Census Bureau's Participant Statistical Areas Program
(PSAP) for the 2010 Census. The USGS uses the TIGER data without editing or alteration.
http://www.census.gov/geo/maps-data/data/tiger.html
digital data
2013
2017
publication date
Incorporated Places Boundaries
Incorporated Places Boundaries
U.S. Census Bureau
20180807
Jurisdictional Boundary
The 115th Congress is seated from January 2017 to 2019. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and
the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a
single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to
the Census Bureau through the Redistricting Data Program (RDP). The USGS uses the TIGER data without editing or alteration for US
Topo.
http://www.census.gov/geo/maps-data/data/tiger.html
24000
digital data
2016
2016
publication date
Jurisdictional Boundaries
115th Congressional Districts Boundaries
U.S. Census Bureau
20180807
Minor Civil Divisions Boundary
vector digital data
The boundaries of most legal Minor Civil Divisions (MCD) are as of January 1, 2017, as reported through the Census Bureau's
Boundary and Annexation Survey. The boundaries of all Census Designated Places (CDP)are those as reported as part of the Census Bureau's
Participant Statistical Areas Program (PSAP) for the 2010 Census. The USGS uses the TIGER data without editing or alteration.
http://www.census.gov/geo/maps-data/data/tiger.html
digital data
2013
2017
publication date
Minor Civil Divisions Boundaries
Minor Civil Divisions Boundaries
U.S. Census Bureau
20180807
Native American Area Boundary
vector digital data
The Native American Area boundaries are as of January 1, 2017 as reported through Census Bureau's Boundary and Annexation
Survey. The USGS dataset is a combination of two Census Bureau files. It includes the American Indian/Alaska Native/Native Hawaiian
Areas National (AIANNH) National TIGER/Line shapefile, including the following legal entities: federally recognized American Indian
reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands. Also included
is the Alaska Native Regional Corporation (ANRC) State-based TIGER/Line shapefile containing a record of the 12 Alaska Native Regional
Corporations used to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. The USGS
uses the TIGER data without editing or alteration.
http://www.census.gov/geo/maps-data/data/tiger.html
digital data
2013
2017
publication date
Native American Area Boundaries
Native American Area Boundaries
National Park Service - Land Resources Division
20180807
National Park Service Boundary
vector digital data
This dataset depicts National Park Service unit boundaries for display and general analysis purposes. The USGS converted areas
of generally 3 acres or less to point features to facilitate cartographic display on the US Topo digital map product. See Source URL for
link to complete dataset. This data set is complete but subject to continual updates to reflect boundary amendments, legislation, and
acquisitions, and improved processing techniques. The data is being regularly updated with verified boundaries from NPS Land Resources
Division. The data is intended for use as a tool for display and general GIS analysis purposes only. It is in no way intended for
engineering or legal purposes. The data accuracy is checked against best available sources which may be dated. NPS assumes no liability
for use of this data. Boundaries from the Land Resources Division have separate polygons for each type of unit. For example Denali
National Park and Denali National Preserve are separate individual polygons.
https://irma.nps.gov/App/Portal
digital data
2002
2018
publication date
National Park Service Boundary
Current Administrative Boundaries of the National Park System Units
U.S. Census Bureau
20180807
Unincorporated Places Boundary
vector digital data
The boundaries of most unincorporated places in this shapefile are as of January 1, 2017, as reported through the Census
Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2017, such as newly unincorporated places,
are also included. The boundaries of all Census Designated Places (CDPs) were delineated as part of the Census Bureau's Participant
Statistical Areas Program (PSAP) for the 2010 Census. The USGS uses the TIGER data without editing or alteration.
http://www.census.gov/geo/maps-data/data/tiger.html
digital data
2013
2017
publication date
Unincorporated Places Boundaries
Unincorporated Places Boundaries
U.S. Department of Interior, U.S. Fish and Wildlife Service
20180807
FWS Interest Simplified Boundaries
vector digital data
This data set depicts simplified boundaries of lands administered by the U.S. Fish and Wildlife Service including National
Wildlife Refuges, National Fish Hatcheries, FWS administrative sites, and other conservation areas. The Alaska National Wildlife Refuge
Boundaries data set depicts the legislative boundary of the 16 National Wildlife Refuges in Alaska at a source scale of 1:63,360. The
dataset was created by the U.S. Fish and Wildlife Service, Region 7, Division of Realty and Natural Resources. The USGS substituted the
Alaska National Wildlife Refuge boundaries for the USFWS Simplified Wildlife Refuge Boundaries in Alaska for cartographic purposes. The
USFWS Simplified Wildlife Refuge Boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer
containing polygons representing tracts of land (parcels) in which the Service has a property or management interest. These interests
include full land ownership, secondary interests in property primarily managed and reported by other federal agencies, leased property,
property managed by agreement with other parties, and, within National Wildlife Refuges, property governed by conservation easements. A
conservation easement is a permanent, legally enforceable land preservation agreement between a landowner and a government agency that
restricts real estate, commercial and industrial development of the land, which remains private property. Inholdings of private property
within Refuge areas not covered by conservation easements are excluded from these boundaries. The Hawaiian Islands National Wildlife
Refuge and Waterfowl production area easements acquired through the small wetlands program have been omitted. Interior boundaries
between parcels were dissolved to produce a single set of simplified external boundaries for each feature. These are resource grade
mapping representations of the U.S. Fish and Wildlife Service boundaries. For legal descriptions of the land represented here contact
the USFWS Realty Office. This map layer was compiled by the U.S. Fish and Wildlife Service. The Alaska National Wildlife Refuges dataset
was derived from the following digital sources and legal documents: 1) Federal Register, Vol. 48, No. 38 Thursday, February 24, 1983
Notices Pages 7890-8029. 2) USGS 1:250,000 scale Alaska Boundary Series maps entitled: Alaska National Interest Lands Conservation Act
December 2, 1980 P.L. 96-487 3) Various legal documents such as survey plats, legal metes and bounds descriptions, Deeds, and Titles. 4)
USGS 1:63,360 scale revised hydrography Digital Line Graphs depicting ground conditions from 1955 to 1986. Although these Fish and
Wildlife boundaries represent lands administered by the U.S. Fish and Wildlife Service, not all areas are open to the public. Some
fragile habitats need to be protected from human traffic, some management areas are closed, and the terms of some conservation easements
preclude public access. The public is urged to contact specific Refuges or other conservation areas before visiting.
digital data
1950
2017
publication date
U. S. Fish and Wildlife Service Boundary
Boundary polygons and names
U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource
Management
20180807
Public Land Survey System
vector digital data
The PLSS information is for general reference purposes only, and should not be used to determine legal boundaries or land
ownership. The Bureau of Land Management (BLM) is the authoritative source for PLSS information at the federal level, and the US Topo
representation is derived from BLM GIS data files called Cadastral National Spatial Data Infrastructure or CadNSDI. The management of
these data is not completely uniform throughout the country. Although this metadata record is included with all maps, PLSS is currently
shown on US Topo Maps for only a few states. PLSS will be added to US Topo maps in more states in coming years as BLM authorized CadNSDI
format is made available. The three layers USGS stores from PLSS are the Township, First Division and Special Surveys. Metadata for BLM
PLSS data is at http://www.geocommunicator.gov/GeoComm/metadata/index.htm#PLSS, though this URL may change in the near future. Alternate
sources of PLSS data will continued to be served mainly in western states where BLM is the data steward or the data is from a trusted
source. Notes on individual states follow,----Alaska PLSS consists of protracted (computed, not surveyed) data only. For more
information see http://sdms.ak.blm.gov/sdms/data_protracted_grid_gis.html----Ohio was the original PLSS state in the early 1800s, and
the land network there is unusually complex. The source data include four first-division parcel types. These are all shown on US Topo
maps, and are labeled according to BLM's attribution, with a leading letter followed by either a number or more letters. The meanings of
the leading letters are S=Section, F=Fractional Section, L=Lot, Q=Quarter Township.
https://sdms.ak.blm.gov/sdms/
https://navigator.blm.gov/home
24000
digital data
2012
2018
publication date
Public Land Survey System - BLM
Townships and ranges, sections
Department of Veterans Affairs, National Cemetery Administration and U.S. Geological Survey
20180807
NCA National Cemeteries
vector digital data
This dataset represents boundaries of National cemeteries administered by the U.S. Department of Veterans Affairs, National
Cemetery Administration. This layer may also contain a small number of boundaries for those managed by the Department of the Army. This
data is subject to change as other national cemetery areas are authorized. This dataset is intended for general mapping and reference
purposes only.
https://nationalmap.gov/boundaries.html
https://www.cem.va.gov/cem/cems/index.asp
digital data
2013
2018
publication date
National Cemetery Boundary
Name, general location information from NCA, Boundaries from combination of NCA boundary data, parcel data and other mapping
datasets.
U.S. Geological Survey, National Geospatial Technical Operations Center
20180807
Geographic Names Information System (GNIS)
Vector digital data
The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products.
https://geonames.usgs.gov/
24000
digital data
2012
2012
publication date
Geographic Names
Geographic feature names
Federal land management agencies
20180807
Points of Interest
vector digital data
Includes campgrounds, trailheads, visitor centers, picnic areas, Ranger stations and federal land management agency
headquarters. Point data was provided by various federal agencies, such as NPS, US Forest Service, BLM, US FWS. This data is subject to
change at any time.
http://nationalmap.usgs.gov
24000
digital data
2016
2018
ground condition
Structures - various
Geographic features and feature names
State and Federal Partners, updates from USGS' The National Map Corps volunteers
20180807
Fire Stations
Vector digital data
Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their
jobs is stored for ready use. Fire Departments which are Mobile Units and not having a permanent location, are included, in which case
their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This
dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers
are in current use for fire protection purposes. This dataset includes both private and governmental entities. Locations that serve only
administrative function are excluded. Locations serving both administrative and operational functions are included.
http://nationalmap.usgs.gov
24000
None
2006
2018
ground condition
Structures - Fire Stations
Geographic features and feature names
State and Federal Partners, updates from USGS' The National Map Corps volunteers
20180807
Law Enforcement
Vector digital data
Included are locations where sworn officers of a law enforcement agency are regularly based or stationed. This dataset includes
local police, county sheriff's offices, state police or highway patrol locations. Most federal law enforcement agency locations are not
included.
http://nationalmap.usgs.gov
24000
None
2005
2018
ground condition
Structures - Law Enforcement
Geographic features and feature names
State and Federal Partners, updates from USGS' The National Map Corps volunteers
20180807
Prisons/Correctional Facility
Vector digital data
Includes both private and government medium and high security prisons and correctional institutions. Low and minimum security
institutions such as local jails, prison camps, correctional farms or work farms, detention and treatment centers are generally
excluded.
http://nationalmap.usgs.gov
24000
None
2007
2018
ground condition
Structures - Prisons/Correctional Facility
Geographic features and feature names
State and Federal Partners, updates from USGS' The National Map Corps volunteers
20180807
Schools
Vector digital data
The schools within this dataset are composed of Public elementary and secondary education in the US as defined and tracked by
the National Center for Education Statistics (NCES), Common Core Dataset (CCD). Private schools in this dataset are composed of Private
elementary and secondary education in the US as defined by the Private School Survey, NCES. The colleges and Universities are composed
of postsecondary education facilities as defined by the Integrated Post Secondary Education System (IPEDS), NCES. Included are Doctoral
and Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries,
Medical schools and other health care professions, schools of engineering and technology, business and management, art, music, design,
Law schools, Teachers colleges, Tribal colleges and other specialized institutions. Changes to base school data may occur through the
USGS¿ The National Map Corps Volunteer Geographic Information project.
http://nationalmap.usgs.gov
24000
None
2008
2018
ground condition
Structures - Schools
Geographic features and feature names
State and Federal Partners, updates from USGS' The National Map Corps volunteers
20180807
Hospitals
Vector digital data
Includes general medical and surgical hospitals, psychiatric, substance abuse and specialty hospitals such as Children's
hospitals, cancer, maternity and rehabilitation hospitals. Other types of hospitals are included if represented in data sets provided by
various partners for this compilation. Hospitals operated by the US Department of Veterans Affairs are included. Nursing homes, long
term care facilities and Urgent Care facilities are generally excluded. Locations that are administrative offices only are excluded from
the dataset.
http://nationalmap.usgs.gov
24000
None
2006
2018
ground condition
Structures - Hospitals
Geographic features and feature names
State government websites
20180807
State Capitol building
vector digital data
Includes the official State Capitol buildings for the U.S. states and territories.
http://nationalmap.gov
24000
digital data
2014
2014
ground condition
Structures - State Capitol building
Geographic feature and feature name
The data for this product are created as follows. All geospatial content is taken from national geospatial databases under the
stewardship of USGS data programs. The NAIP imagery is provided by a seamless tile service that delivers image data at the resolution and
quality of the source imagery. The raster and vector data, including grids and collar information, are processed using ESRI ArcGIS software
and exported. Map formatting is performed using a custom application, which includes post-processing to embed the metadata XML
document.
20180807
Public Land Survey System
Vector
Entity point
Void polygon composed of rings
Complete chain
Complete chain
1012
0.00001
0.00001
Decimal degrees
North American Datum of 1983
Geodetic Reference System 80
6378137
298.2572221
U.S. Geological Survey, National Geospatial Technical Operations Center
mailing and physical
1400 Independence Road
Rolla
MO
65401
mailing and physical
Box 25046 Denver Federal Center
Lakewood
CO
80225
1-888-ASK-USGS (1-888-275-8747)
http://www.usgs.gov/ask/
Monday through Friday 8:00 AM to 4:00 PM
Metadata information can also be obtained through online services using The National Map Viewer, at http://nationalmap.usgs.gov or
EarthExplorer, at http://earthexplorer.usgs.gov or Ask USGS at http://www.usgs.gov/ask.
Downloadable Data
No liability for content or accuracy is presumed by USGS for data.
FileGDB
10.1
Spatial objects with unique identifiers and coordinate data.
No compression applied
3721074
https://prd-tnm.s3.amazonaws.com/StagedProducts/TopoMapVector/AZ/Shape/VECTOR_Betty_Well_AZ_7_5_Min_Shape.zip
None
20210418
20180807
20190807
U.S. Geological Survey, National Geospatial Technical Operations Center
mailing and physical
1400 Independence Road
Rolla
MO
65401
mailing and physical
Box 25046 Denver Federal Center
Lakewood
CO
80225
1-888-ASK-USGS (1-888-275-8747)
http://www.usgs.gov/ask/
Monday through Friday 8:00 AM to 4:00 PM
Metadata information can also be obtained through online services using The National Map Viewer, at http://nationalmap.usgs.gov or
EarthExplorer, at http://earthexplorer.usgs.gov or Ask USGS at http://www.usgs.gov/ask.
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998