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Data sources

Geothenes answers only from the datasets below. Every answer shows the SQL it ran and lists the datasets it used underneath, and the map names the producers of what it shows. These datasets belong to their producers; the credits here are text only.

Data centers, cities and land cover

Data centers

Producer
Ringmast4r, Global-Data-Center-Map
License
Permission to use with attribution, commercial products included (the repository's LICENSE)
Credit
Data centers © Ringmast4r - Global-Data-Center-Map
Used for
datacenters, datacenter_cities
Note
Coordinates vary in precision (building, city or country centroid); not verified ground truth. Each point is graded (loc_quality): only building-precise points get site-level answers, and the map draws a city or region placeholder as a ring. A listed point that contradicts the listing's own country, state or ZIP code (a geocode of a namesake, such as Dublin, Ohio placed in Ireland) is dropped, checked against Natural Earth boundaries (public domain).

License-plate-reader cameras by city

Producer
Compiled by Finding Flock from OpenStreetMap
License
ODbL 1.0
Credit
Camera locations © OpenStreetMap contributors (ODbL), compiled by Finding Flock
Also
City boundaries and land area: U.S. Census Bureau 2025 Cartographic Boundary Files (public domain)
Used for
alpr_cities only
Download
Geothenes' version of alpr_cities, under the same license: see Downloads

City population

Producer
U.S. Census Bureau, Population Estimates Program, Vintage 2023, incorporated places
License
Public domain
Used for
Population and per-capita columns of alpr_cities

City points

Producer
U.S. Census Bureau, 2026 Gazetteer Files, national places file: the internal point of each incorporated place and census designated place
License
Public domain (a U.S. government work)
Used for
The map point of each datacenter_cities city whose data-center listings have no usable coordinates, matched by state and place name

Land cover

Producer
NOAA Office for Coastal Management, C-CAP 2021 Regional Land Cover, 30 m, one tile (Washington DC, Northern Virginia, central Maryland)
License
Public domain
Used for
datacenter_landcover and the land-cover tool

Elevation: USGS 3DEP

Ground elevation, slope and elevation profiles come from USGS 3D Elevation Program (3DEP) DEMs, read from USGS's public data as each question needs them. Geothenes does not store a copy.

3DEP digital elevation models

Producer
U.S. Geological Survey, National Geospatial Program, 3D Elevation Program (3DEP): the 1/3 arc-second (about 10 m) seamless DEM, and 1 m DEMs where they exist
License
Public domain (a U.S. government work)
Credit
USGS 3D Elevation Program (3DEP) DEMs. Data available from U.S. Geological Survey, National Geospatial Program. Public domain.
Used for
The elevation tools: ground elevation at points, terrain statistics around a site (relief, slope, flat-ground share, aspect) and elevation profiles
Note
Bare-earth heights in meters (no buildings or trees), NAVD88 in the conterminous US. US only: the 50 states (Alaska in part), Puerto Rico and the US territories

US states, counties and metro areas: U.S. Census Bureau

State, county and metro-area maps fill the Census Bureau's 2025 cartographic boundaries, generalized to 1:5,000,000. They are drawn only at that scale or smaller: zoomed in closer (about zoom 5.5 on the map), they hide. Which county, metro area or state a data center is in comes from the full-resolution TIGER/Line counties, not from these shapes, and areas come from the Census Bureau's own land and water figures.

Cartographic boundary files, 2025

Producer
U.S. Census Bureau, Cartographic Boundary Files 2025 (1:5,000,000: states, counties and equivalents, metropolitan and micropolitan statistical areas) and TIGER/Line 2025 counties; metro and micro areas per the OMB July 2023 delineations
License
Public domain (a U.S. government work); the Census Bureau must be acknowledged as the source
Credit
Boundaries: U.S. Census Bureau, 2025 Cartographic Boundary Files (1:5,000,000); metro/micro areas per OMB July 2023 delineations
Used for
census_states, census_counties, census_cbsa, census_state_codes, dc_census_geo, and the state, county and metro-area maps
Note
Generalized 1:5,000,000 boundaries for small-scale display only; not legal boundaries and not for area, perimeter or precise boundary-relationship calculations. Geothenes derived these tables from U.S. Census Bureau files (renamed columns, MultiPolygon normalisation, added membership, label, bbox and data-center join columns). They are not an official Census Bureau product and the Census Bureau has not reviewed or endorsed them. TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau.

Use constraints (Census Bureau metadata, each 1:5,000,000 file)The intended display scale for this file is 1:5,000,000. This file should not be displayed at scales larger than 1:5,000,000. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information is for visual display at appropriate small scales only. Cartographic boundary files should not be used for geographic analysis including area or perimeter calculation. Files should not be used for geocoding addresses. Files should not be used for determining precise geographic area relationships.

Water risk: WRI Aqueduct 4.0

Water stress, depletion, variability and flood-risk values for river sub-basins, from the World Resources Institute's Aqueduct 4.0, joined to the data centers whose location is precise and to shared city points. Geothenes ships the values only: it shows no basin outlines or overlays, offers no basin downloads, and has no water-stress value for any other point (use WRI's Aqueduct Water Risk Atlas for that).

Aqueduct 4.0 water risk indicators

Producer
World Resources Institute, Aqueduct 4.0 (release Y2023M07D05; baseline 1979-2019, projections 2030, 2050 and 2080)
License
CC BY 4.0 for the values; the basin codes are HydroBASINS level 6, © World Wildlife Fund, used under the HydroSHEDS v1 License Agreement
Used for
water_stress_basins, water_stress_monthly, water_stress_future, water_stress_categories, dc_water_stress, metro_water_stress
Changes
Geothenes kept six baseline indicators, monthly baseline water stress and future water stress; dropped all GADM, WHYMAP and RepRisk fields and the composite scores; replaced WRI's -9999 / 9999 codes and the arid-basin placeholder raw value with NULL plus flags; removed the basin polygons (only the pfaf_id keys and each basin's area are kept); and joined data-center locations to the full-resolution basins.

CreditWater risk: WRI Aqueduct 4.0 (Kuzma et al. 2023, https://doi.org/10.46830/writn.23.00061; data: https://www.wri.org/data/aqueduct-global-maps-40-data), © 2023 World Resources Institute, CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), provided as is, without warranty; modified by Geothenes (subset of indicators, joined to data-center locations). Basin keys: HydroBASINS level 6, © World Wildlife Fund, Inc. (2006-2022), used under license.

WRI copyright noticeCopyright 2023 World Resources Institute

WRI license noticeThis dataset is licensed in accordance with the terms of a creative commons license (CC BY 4.0).

WRI technical noteCopyright 2023 World Resources Institute. This work is licensed under the Creative Commons Attribution 4.0 International License.

WRI disclaimer (Aqueduct 4.0 LICENSE.txt)THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

HydroSHEDS statement (HydroSHEDS v1 License Agreement, Exhibit B)This product Geothenes incorporates data from the HydroSHEDS version 1 database which is © World Wildlife Fund, Inc. (2006-2022) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within Geothenes, and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS v1 database incorporate data which are the intellectual property rights of © USGS (2006-2008), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The HydroSHEDS v1 database and more information are available at https://www.hydrosheds.org.

Citations:

Cooling climate: NASA POWER and NOAA

Three climate products, kept apart: Geothenes never ranks values from two of them in one list. NASA POWER covers the world (cooling degree days, design wet-bulb, temperature and humidity at about 55 km), NOAA's official station normals cover U.S. weather stations, and a county table derived from NOAA nClimDiv covers U.S. counties. The world cooling-degree-day and design wet-bulb maps are classified pictures of the POWER values.

NASA POWER climatology, 2001-2025

Producer
NASA LaRC POWER Project, Climatology (Analysis Ready Data Zarr, POWER Version 10.0.0, MERRA-2), 2001-2025
License
CC BY 4.0
Credit
Global climate: NASA LaRC POWER Project, climatology 2001-2025 (POWER v10), CC BY 4.0; quantized, resampled and wet-bulb recomputed by Geothenes
Used for
climate_power_metros, climate_power_metros_monthly, dc_climate, and the world cooling-degree-day and design wet-bulb maps
Changes
Modified by Geothenes: decoded from POWER's data store, quantized and resampled, sampled at data-center metros and precise sites, and drawn as classified map images. The design wet-bulb temperatures are recomputed with the ASHRAE psychrometric equations from POWER's own fields: POWER's published wet-bulb values use the midpoint of dry-bulb and dew point and read high.

U.S. Climate Normals, 1991-2020

Producer
NOAA National Centers for Environmental Information, U.S. Climate Normals (annual and seasonal, by station)
License
Public domain (a U.S. government work)
Credit
U.S. station normals: NOAA NCEI U.S. Climate Normals 1991-2020, doi:10.25921/4ek7-fk11
Used for
climate_normals_stations

U.S. county climate (derived)

Producer
Derived by Geothenes from NOAA NCEI nClimDiv county temperatures; cooling degree days estimated with a method calibrated on the station normals
License
Public domain (a U.S. government work)
Credit
U.S. county climate: derived by Geothenes from NOAA NCEI nClimDiv (doi:10.7289/V5M32STR); not official NOAA normals; CDD is a Geothenes estimate
Used for
climate_county, climate_county_decadal

POWER referenceThe data was obtained from National Aeronautics and Space Administration (NASA) Langley Research Center's Prediction Of Worldwide Energy Resources (POWER) project funded through the NASA Earth Science Division.

POWER data referenceThe data was obtained from the POWER Project's Climatology (Analysis Ready Data Zarr, POWER Version 10.0.0) version on 2026/10/21.

Use liability (NOAA NCEI)NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.

Distribution liability (NOAA NCEI)NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.

Flood zones and sea-level rise: FEMA and NOAA

Whether a data center sits in FEMA's 100-year or 500-year floodplain comes from FEMA's own point test against its full-resolution National Flood Hazard Layer, run for every building-precise US site; sites with only a city-level location get a per-metro answer. The flood-zone shapes on the map are generalized copies for the big data-center metros and the neighbourhood of each precise site, and a dashed outline shows where they stop. Sea-level rise is NOAA's high-tide inundation with 0 to 3 ft of rise: no storm surge, waves or erosion. None of this is a flood determination, an insurance answer or a permitting answer.

FEMA National Flood Hazard Layer

Producer
Federal Emergency Management Agency, National Flood Hazard Layer (NFHL): the effective flood maps as served on 2026-10-21 (service published 2026-10-14; FIRM panels effective 2002-06-03 to 2026-07-21)
License
Public domain (a U.S. government work)
Used for
dc_flood (its FEMA columns), flood_zones, flood_coverage, flood_metros, flood_site_metro, flood_zone_codes, and the flood-zone maps
Changes
Geothenes kept the 1% (SFHA) and shaded-X zones as display polygons, clipped to the covered areas and simplified to about 5 m; per-site zones and distances come from FEMA's own point test and polygons generalized to about 3 m
Note
No FEMA or DHS logos; FEMA does not endorse Geothenes. Pending map changes (LOMR, LOMA) are not included.

NOAA sea level rise

Producer
NOAA Office for Coastal Management, Sea Level Rise Viewer data: inundation extents at today's high tide (MHHW) and with 1, 2 and 3 ft of rise (metadata 2016 and 2017; rasters updated 2022 to 2025)
License
Public domain (a U.S. government work); NOAA expects acknowledgment
Used for
dc_flood (its slr_* columns), the noaa_slr_* rows of flood_coverage, and 13 metro rasters (slr_<metro>) that a Geothenes pass can sample at any point
Changes
Geothenes read the four levels at each precise site and resampled NOAA's rasters to the lowest level reached per ~10 m pixel. Areas NOAA may not redistribute are not shipped ("not covered").

CreditFlood hazard zones: FEMA National Flood Hazard Layer (NFHL); Sea level rise: NOAA Office for Coastal Management, Sea Level Rise Viewer data

FEMA disclaimer (the NFHL's license information)User assumes all risk related to the use of this data. FEMA provides this data "as is" and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose, and there are no express or implied guarantees of accuracy of the data. In no event will FEMA or any other Federal Agency be liable to you or to any third party for any direct, indirect, incidental, consequential, special, or exemplary damages or lost profit resulting from any use or misuse of this data.

NOAA credit request (sea level rise data metadata)Acknowledgment of the NOAA Office for Coastal Management as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected.

NOAA use constraints (sea level rise data metadata)These data illustrate the scale of potential flooding, not the exact location, and do not account for erosion, subsidence, or future construction. Inundation is shown as it would appear during the highest high tides (excludes wind driven tides) with the sea level rise amount. These data should be used only as a screening-level tool for management decisions. As with all remotely sensed data, all features should be verified with a site visit. The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

NOAA distribution liability (1-3 ft data; 0 ft data)Any conclusions drawn from the analysis of this information are not the responsibility of the Coastal Services Center or its partners. / Any conclusions drawn from the analysis of this information are not the responsibility of the Office for Coastal Management or its partners.

Earthquakes and seismic hazard: USGS and contributors

The earthquake table holds magnitude 5 and larger earthquakes worldwide since 1900 (4.5 and larger in four US areas), from the USGS ANSS Comprehensive Catalog. Each value comes from a contributing agency, and only values whose producer allows this use are kept: 15% of the rows take values from the ISC-GEM catalogue, which is shared under CC BY-SA 3.0, so Geothenes shares its version of the whole table under that license too (see Downloads). Seismic hazard is the USGS National Seismic Hazard Model's peak ground acceleration for the conterminous US: long-term shaking levels for a reference site class, not building-code design values.

Earthquakes

Producer
U.S. Geological Survey, ANSS Comprehensive Catalog (ComCat), with values from ANSS partner networks, Global CMT, the ISC-GEM catalogue (International Seismological Centre and GEM Foundation), GeoNet (Earth Sciences New Zealand) and Natural Resources Canada's Earthquakes in Canada archive; events 1900-01-01 to 2026-10-20
License
The table: CC BY-SA 3.0. Each row's own license is in row_license: U.S. public domain, ANSS / Global CMT (attribution), CC BY-SA 3.0 (ISC-GEM), CC BY 3.0 NZ (GeoNet) or the Open Government Licence - Canada (NRCan)
Used for
earthquakes and the earthquake counts in dc_seismic
Changes
Adapted by Geothenes: filtered (earthquakes only; values from producers whose terms forbid commercial use removed or replaced from allowed producers) and reformatted (one row per event with its sources and license)
Download
Geothenes' version of earthquakes, under CC BY-SA 3.0: see Downloads

Seismic hazard: USGS NSHM 2023

Producer
U.S. Geological Survey, National Seismic Hazard Mapping Project: National Seismic Hazard Model 2023, revision CONUS.2023.R2 (published 2026-08-10), peak ground acceleration for 475, 975 and 2,475-year return periods, site class BC
License
CC0 1.0
Used for
dc_seismic (its PGA columns), seismic_hazard_bands, and the PGA raster (nshm_pga) that a Geothenes pass can sample at any point in the conterminous US
Note
Not building-code design values; the conterminous US only (never Alaska, Hawaii, Puerto Rico, Canada or Mexico)

Earthquake credit (CC BY-SA 3.0)Earthquakes: USGS ANSS Comprehensive Catalog (ComCat; USGS public domain, ANSS partner networks, Global CMT), including ISC-GEM catalogue rows © International Seismological Centre and GEM Foundation, CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/); GeoNet rows © Earth Sciences New Zealand, CC BY 3.0 NZ (https://creativecommons.org/licenses/by/3.0/nz/): "We acknowledge the New Zealand GeoNet programme and its sponsors NHC, Earth Sciences NZ, LINZ, NEMA and MBIE for providing data/images used in this study."; NRCan rows: Contains information licensed under the Open Government Licence – Canada. (https://open.canada.ca/en/open-government-licence-canada); table adapted by Geothenes and shared under CC BY-SA 3.0.

ISC-GEM notice (ISC's own wording)The Catalogue is protected by the Copyright (C) 2025 International Seismological Centre and GEM Foundation. You may use this work under the terms of the CC-BY-SA 3.0 (unported)

GeoNet license and acknowledgementGeoNet content is copyright Earth Sciences New Zealand and is licensed under a Creative Commons Attribution 3.0 New Zealand License. We acknowledge the New Zealand GeoNet programme and its sponsors NHC, Earth Sciences NZ, LINZ, NEMA and MBIE for providing data/images used in this study.

NRCan attributionContains information licensed under the Open Government Licence – Canada.

USGS ComCat use constraintThe data you have secured from the ANSS Comprehensive Catalog may include data that have not received Director’s approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use

Citations:

Seismic hazard creditSeismic hazard: USGS National Seismic Hazard Model 2023, revision CONUS.2023.R2 (Altekruse, Powers & Milner 2026, doi:10.5066/P14VGAV4), CC0; acknowledgment: U.S. Geological Survey, National Seismic Hazard Mapping Project.

NSHM citationAltekruse, J.M., Powers, P.M., and Milner, K.R., 2026, Mean Seismic Hazard Curves and Uniform-Hazard Ground Motion Values from the Revised 2023 US 50-state National Seismic Hazard Model: U.S. Geological Survey data release, https://doi.org/10.5066/P14VGAV4.

NSHM use constraintAcknowledgment of the U.S. Geological Survey, National Seismic Hazard Mapping Project would be appreciated in products derived from these data.

NSHM rightsThis work is marked with the Creative Commons Zero v1.0 Universal (CC0-1.0) public domain dedication; https://creativecommons.org/publicdomain/zero/1.0/.

USGS liability statement (NSHM data release)Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on computer systems at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.

Country statistics: Our World in Data

25 country-level indicators from Our World in Data (OWID), saved as a snapshot (retrieved 2026-10-21, refreshed every few months). OWID's own data is CC BY 4.0; data it republishes keeps its producer's license, shown per indicator. Geothenes keeps an indicator only when every producer's license allows reuse with attribution. OWID's chart software is not used, only the data.

CreditCountry statistics: Our World in Data (OWID's processing: CC BY 4.0), from Ember, World Bank, Global Carbon Budget, Jones et al., HYDE, Gapminder, OWID population series and ERA5 (Copernicus C3S) under CC BY 4.0; UN World Population Prospects, UN World Urbanization Prospects and UNDP Human Development Report under CC BY 3.0 IGO; U.S. EIA (public domain). Contains modified Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. Filtered and joined by Geothenes. Boundaries: Made with Natural Earth.

Required notice (Annual temperature anomalies)Contains modified Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

IndicatorSource, as OWID cites itLicenseLinks
Electricity
Carbon intensity of electricity generation (lifecycle) grid_carbon_gco2_per_kwhEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Electricity demand electricity_demand_twhEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Electricity demand per person electricity_demand_kwh_per_capitaEmber (2026); Population (2024) – via the Our World in Data ETL catalogEmber: CC BY 4.0
Various sources: CC BY 4.0
ember-energy.org · OWID catalog ember/2026-04-24
Electricity generation electricity_generation_twhEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Net electricity imports net_electricity_imports_twhEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from renewables renewables_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity from low-carbon sources (renewables and nuclear) low_carbon_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from fossil fuels fossil_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from coal coal_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from gas gas_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from nuclear power nuclear_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from solar solar_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Share of electricity generated from wind wind_share_electricity_pctEmber (2026) – via the Our World in Data ETL catalogEmber: CC BY 4.0ember-energy.org · OWID catalog ember/2026-04-24
Energy
Primary energy consumption per person energy_use_kwh_per_capitaEIA (2026) – via the Our World in Data ETL catalogU.S. EIA: Public domaineia.gov · OWID catalog eia/2026-05-05
Share of the population with access to electricity electricity_access_pctData compiled from multiple sources by the World Bank – with minor processing by Our World in DataWorld Bank (SDG 7.1.1): CC BY 4.0OWID chart · data.worldbank.org
Emissions
CO₂ emissions per capita co2_t_per_capitaGlobal Carbon Budget (2025); Population based on various sources (2024) – with major processing by Our World in DataGlobal Carbon Project: CC BY 4.0
Various sources: CC BY 4.0
OWID chart · globalcarbonbudget.org
Annual CO₂ emissions co2_emissions_tGlobal Carbon Budget (2025) – with major processing by Our World in DataGlobal Carbon Project: CC BY 4.0OWID chart · globalcarbonbudget.org
Per capita consumption-based CO₂ emissions consumption_co2_t_per_capitaGlobal Carbon Budget (2025); Population based on various sources (2024) – with major processing by Our World in DataGlobal Carbon Project: CC BY 4.0
Various sources: CC BY 4.0
OWID chart · globalcarbonbudget.org
Per capita greenhouse gas emissions ghg_tco2e_per_capitaJones et al. (2025); Population based on various sources (2024) – with major processing by Our World in DataJones et al.: CC BY 4.0
Various sources: CC BY 4.0
OWID chart · zenodo.org
People and economy
Population populationHYDE (2023); Gapminder (2022); UN WPP (2024) – with major processing by Our World in DataHYDE (PBL): CC BY 4.0
Gapminder: CC BY 4.0
United Nations: CC BY 3.0 IGO
OWID chart · dataset DOI
Share of population living in urban areas urban_population_pctUnited Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in DataUN DESA Population Division: CC BY 3.0 IGOOWID chart · population.un.org
GDP per capita gdp_per_capita_usdNational statistical organizations and central banks, OECD national accounts, and World Bank staff estimates (2026) – with minor processing by Our World in DataWorld Bank (WDI): CC BY 4.0OWID chart · data.worldbank.org
Human Development Index hdiUNDP, Human Development Report (2025) – with minor processing by Our World in DataUNDP, Human Development Report: CC BY 3.0 IGOOWID chart · hdr.undp.org
Life expectancy at birth life_expectancy_yearsUN, World Population Prospects (2024) – processed by Our World in DataUnited Nations: CC BY 3.0 IGOOWID chart · population.un.org
Climate
Annual temperature anomalies (vs the 1991-2020 mean) temperature_anomaly_cContains modified Copernicus Climate Change Service information (2026) – with major processing by Our World in Data; Hersbach, H. et al. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7Copernicus C3S (ERA5): CC BY 4.0OWID chart · cds.climate.copernicus.eu

Left out on license grounds, even where a republisher lists CC BY:

Country boundaries

Natural Earth

Producer
Natural Earth, 1:50m Admin 0 – Countries, release v5.1.2
License
Public domain
Credit
Made with Natural Earth
Used for
countries (country maps) and datacenters.country_iso3
Changes
Simplified, coordinates rounded to 3 decimals, Antarctica dropped, Somaliland and Northern Cyprus merged into Somalia and Cyprus

Basemap

Map tiles

Producer
OpenFreeMap, vector tiles in the OpenMapTiles schema
Credit
OpenFreeMap © OpenMapTiles © OpenStreetMap contributors
Map data
© OpenStreetMap contributors, ODbL 1.0
Style
OpenFreeMap's Dark style, unmodified from OpenMapTiles' Dark Matter: design CC BY 4.0, © MapTiler and OpenMapTiles contributors; derived from CartoDB Basemaps, designed by Stamen and Paul Norman for CartoDB Inc. (CC BY 3.0)

Downloads

The camera data comes from OpenStreetMap under the Open Database License (ODbL). Geothenes adds Census population and cameras per 10,000 residents to it, which makes a derivative database, so Geothenes' version is offered here under the same license, as CSV. No other Geothenes table uses the camera data.

The earthquake table includes ISC-GEM catalogue rows shared under CC BY-SA 3.0, so Geothenes' adapted version of the whole table is offered here under CC BY-SA 3.0, as compressed CSV, with each row's source and license.

License-plate-reader cameras by city

File
alpr_cities_odbl.csv (CSV, UTF-8, one row per city)
License
Derivative Database under the Open Database License (ODbL) v1.0
Notice
README-ODbL.txt: license, credits, what Geothenes changed and what each column means
Credit
Camera locations © OpenStreetMap contributors, compiled by Finding Flock, derived by Geothenes
Also
City boundaries and land area: U.S. Census Bureau 2025 Cartographic Boundary Files. Population: U.S. Census Bureau, Population Estimates Program, Vintage 2023. Both public domain.

Earthquakes

File
earthquakes_ccbysa.csv.gz (gzip-compressed CSV, UTF-8, one row per earthquake, with each row's source and license)
License
Creative Commons Attribution-ShareAlike 3.0 (CC BY-SA 3.0); Geothenes adds no further restrictions
Notice
README-CC-BY-SA.txt: the full credit, the license, and what Geothenes changed
Credit
As in Earthquakes and seismic hazard: USGS ComCat with ISC-GEM rows © International Seismological Centre and GEM Foundation, GeoNet rows © Earth Sciences New Zealand, and NRCan rows; adapted by Geothenes (filtered and reformatted)

ODbL noticeGeothenes' maps and answers about license-plate-reader cameras contain information from the Geothenes license-plate-reader cameras by city database, which is made available here under the Open Database License (ODbL).