United States of America GIS data

ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage

ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage

ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage

ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage

ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage

ACS 2025 Legal and Statistical Entities Web Map Service; January 1, 2025 vintage

ACS 2025 Legal and Statistical Entities Web Map Service; January 1, 2025 vintage

Census tract labels published by the US Census Bureau for the United States. Each feature represents a census tract and includes its base name.

Census block group labels published by the US Census Bureau for the United States. Each feature represents a census block group and includes its base name.

Tribal Census Tracts, Tribal Block Groups; January 1, 2022 vintage; Generalized

This dataset contains label points for secondary school districts in the United States, published by the US Census Bureau. Each feature represents a district and includes its name, such as 'Regional High School District 19'.

This dataset contains label points for subbarrios in the United States, published by the US Census Bureau. Each feature represents a subbarrio and includes its name, such as 'Pueblo Sur subbarrio', along with population and housing unit counts.

This dataset contains label points for consolidated cities in the United States, published by the US Census Bureau. Each feature represents a consolidated city and includes its name, such as 'Augusta-Richmond County'.

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage

ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Congressional Districts, Voting Districts, State Legislative Districts - Upper, State Legislative Districts - Lower; January 1, 2022 vintage; Generalized

ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage

ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage

County Subdivisions, Subbarrios, Consolidated Cities, Incorporated Places, and Census Designated Places; January 1, 2015 vintage; Generalized

ACS 2019 Legal and Statistical Entities Web Map Service; January 1, 2019 vintage

ACS 2021 Legal and Statistical Entities Web Map Service; January 1, 2021 vintage

ACS 2026 Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Date of Images: Post-Event: 8/13/2026, 8/19/2026 Pre-Event: July 2026 Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images are corrected for atmospheric, terrain, lunar BRDF, and straylight effects, and directly measures light intensity on the ground in units of nanowatts/(steradian centimeter squared). The images are scaled from 0 - 30. The baseline image is from July 2026, generated from all daily atmospheric and lunar-corrected data from that month. There is a layer to display where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery. Suggested Use: NASA's Black Marble Nighttime Light product suite is a state-of-the-art daily global collection of standard products for monitoring nighttime lights (NTL). Utilizing the Visible Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) aboard the Suomi-NPP, NOAA-20, and NOAA-21 satellites. Grey indicates cloud cover. Observations may be obscured by total or partial cloud cover. Other factors such as snow reflectance, moon phase, wildfires, and wildfire smoke may distort light radiance and require further analysis when assessing power outages. Satellite/Sensor: Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP), NOAA-20, and NOAA-21 Resolution: 15 arc-seconds (~500 meters) Credits: NASA Black Marble Science team Please cite the following two references when using this data: Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883. Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43. Point of Contact: Ranjay Shrestha NASA Goddard Space Flight Center E-mail: ranjay.m.shrestha@nasa.gov Additional Links: NASA’s Black Marble Product Suite Román, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6). Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143. Data Access: REST URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=a97341f5bb9143039769267a1f385dd6 WMS: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202608_FLOOD_OH/VIIRS_BRDF_cloudmask/ImageServer/WMSServer

Alaska Native Regional Corporations (ANRC), Tribal Subdivisions, Federal American Indian Reservations, Off-Reservation Trust Lands (ORTL), State American Indian Reservations, Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2020 vintage

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows workers' place of residence by mode of commute. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   This layer is symbolized by the percentage of workers who drove alone. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B08301 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census:  Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data).  The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.   Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

ACS 2019 Legal and Statistical Entities Web Map Service; January 1, 2019 vintage

ACS 2023 Legal and Statistical Entities Web Map Service; January 1, 2023 vintage

Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas: Metropolitan NECTAs, Micropolitan NECTAs, Combined Statistical Areas, Metropolitan Statistical Areas, Micropolitan Statistical Areas; January 1, 2021 vintage; Generalized

ACS 2025 Legal and Statistical Entities Web Map Service; January 1, 2025 vintage

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2022 vintage; Generalized

Unified School Districts, Secondary School Districts, Elementary School Districts; January 1, 2022 vintage; Generalized

Unified School Districts, Secondary School Districts, Elementary School Districts; January 1, 2023 vintage; Generalized

Congressional Districts, Voting Districts, State Legislative Districts - Upper, State Legislative Districts - Lower; January 1, 2016 vintage; Generalized