United States of America GIS data

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage

ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage

ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage

ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage

ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage

ACS 2013 Legal and Statistical Entities Web Map Service; January 1, 2013 vintage

Abstract: The U.S. Social Vulnerability Index Grids, Revision 01 data set contains gridded layers for the overall Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) using four sub-category themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) based on census tract level inputs from 15 variables for the years 2000, 2010, 2014, 2016, 2018, and 2020. SVI values range between 0 and 1 based on their percentile position among all census tracts in the U.S., with 0 representing lowest vulnerability census tracts and 1 representing highest vulnerability census tracts. SEDAC has gridded these vector inputs to create 1 kilometer spatial resolution raster surfaces allowing users to obtain vulnerability metrics for any user-defined area within the U.S. Utilizing inputs from CIESIN's Gridded Population of the World, Version 4 (GPWv4) Revision 11 data sets, a mask is applied for water, and optionally, for no population. The data are provided in two different projection formats, NAD83 as a U.S. specific standard, and WGS84 as a global standard. The goal of the SVI is to help identify vulnerable commUnities by ranking them on these inputs across the U.S. Purpose: To provide a 1 km grid of the CDC Social Vulnerability Index (SVI) aligned with CIESIN's Gridded Population of the World, Version 4, Revision 11 (GPWv4.11) with a mask for water and no population. Citation: U.S. Social Vulnerability Index Grids, Revision 01. Center for International Earth Science Information Network - CIESIN - Columbia University. (2023). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/2ev1-g103 Publication References: Documentation for the U.S. Social Vulnerability Index Grids, Revision 01. Center for International Earth Science Information Network - CIESIN - Columbia University. (2023). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/pta9-2980

ACS 2013 Legal and Statistical Entities Web Map Service; January 1, 2013 vintage

ACS 2013 Legal and Statistical Entities Web Map Service; January 1, 2013 vintage

Census Regions, Census Divisions; January 1, 2015 vintage; Generalized

Date of Image: Pre-Event: August 2024 Post-Event: September 28, 2024 Summary: These Black Marble High-Definition (BMHD) images were created by the NASA Black Marble Science team, with directed funding the NASA-Google Partnership program. The images map the impact of Hurricane Helene on electric grids. The baseline image is from August 2024, a cloud-free, moon-free composite, and the “after" image is from September 28. There is a layer to display where clouds are present in the "after" images. This comparison between the images is meant as a visual assessment of outage impacts from the extreme heat 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: NOTE: Black Marble HD images are downscaled from NASA’s Black Marble nighttime lights product (VNP46), and as such are a “modelled” or “best guess” estimate of how lights are distributed at a 30m resolution. These images should be used for visualization purposes, not for quantitative analysis. The image is in inferno color scale. Yellow represents presence of more light; dark blue less lights. Satellite/Sensor: The primary data source, NASA’s Black Marble nighttime lights product suite (VNP46), utilized to generate this product is derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP) along with high resolution base layers - Landsat derived normalized index products (NDVI and NDWI) and OpenStreetMap (OSM) derived road layer Resolution: Scaled resolution of 30 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. Esri REST Endpoint: See URL section on right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202409_HURRICANE_HELENE/BMHD/ImageServer/WMSServer

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, 2015 vintage; Generalized

States and Counties (or statistically equivalent entities); January 1, 2015 vintage; Generalized

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

States and Counties (or statistically equivalent entities); January 1, 2015 vintage; Generalized

ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage

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

States and Counties (or statistically equivalent entities); January 1, 2015 vintage; Generalized

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

Unified School Districts, Secondary School Districts, Elementary School Districts; January 1, 2015 vintage; Generalized

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

Legal and Statistical Entities Web Map Service; January 1, 2010 vintage

Legal and Statistical Entities Web Map Service; January 1, 2010 vintage

Census Regions, Census Divisions; January 1, 2015 vintage; Generalized