Refer to the table below for a detailed list of all the data layers available in Google Earth. Note that data layers may change periodically throughout the year. Check this page regularly for updates.
| Title | Description | Source(s) | Plan | Coverage |
|---|---|---|---|---|
| Administrative area level 1 | First-order civil entities below the country level, like US states, provinces, and other areas of similar size. Not all nations use these administrative levels. | Google Maps | Standard | United States |
| Administrative area level 2 | Second-order civil entities below the country level, like US counties and other areas of similar size. Not all nations use these administrative levels. | Google Maps | Standard | United States |
| Administrative area level 3 | Third-order civil entities below the country level, like cities and other areas of similar size. Not all nations use these administrative levels. | Google Maps | Standard | United States |
| Agricultural landscape understanding | Leverages satellite imagery and machine learning to draw agricultural boundaries of fields, the basic unit of agriculture and essential in creating meaningful insights. With field segments established, the model can determine the acreage of farm fields. Similarly other landscape elements like water bodies and vegetation can be identified, which can help with drought contingency planning. | Standard | Portions of APAC | |
| Digital elevation model (Copernicus GLO-30) |
A digital elevation model (DEM) that represents the top-reflective surface of the Earth including buildings, infrastructure and vegetation at 30 meter resolution. Data were acquired through the TanDEM-X mission between 2011 and 2015. Note: This is an Experimental data layer, which is focused on gathering user feedback. |
Google Earth Engine | Standard | Global |
| Driveway counts | The number of driveways within each postal code (not per mile of roadway), estimated by satellite imagery. Includes both private driveways (for example, next to a single family house) and public or commercial driveways (for example, leading to a park or mall plaza). | Google Maps | Professional Advanced | United States Australia Belgium Bulgaria France Germany Italy Netherlands Norway Switzerland Andorra Croatia Czechia Estonia Hungary Iceland Latvia Liechtenstein Lithuania Monaco Slovakia Slovenia Vatican City |
| Elevation contours (20m intervals) | Contour lines representing the topography of Earth at 20-meter intervals above sea level. Zoom in to visualize and interact with elevation contours on the map. Contour lines are based on inferred data, which may contain errors, and don't equal onsite or survey-grade information. | Google Earth Engine | Professional | United States |
| Elevation contours (40m intervals) |
Contour lines representing the topography of Earth at 40-meter intervals above sea level. Zoom in to visualize and interact with elevation contours on the map. Contour lines are based on inferred data, which may contain errors, and don't equal onsite or survey-grade information. Note: This is an Experimental data layer, which is focused on gathering user feedback. |
Google Earth Engine | Standard | United States |
| EV charging station counts (by US census tract) | The number of EV charging stations aggregated within each census tract boundary. | Google Maps | Professional Advanced | United States |
| EV charging station counts (by postal code) | The number of EV charging stations aggregated within each postal code boundary. | Google Maps | Professional Advanced | United States Australia Belgium Bulgaria France Germany Italy Netherlands Norway Switzerland Andorra Croatia Czechia Estonia Hungary Iceland Latvia Liechtenstein Lithuania Monaco Slovakia Slovenia Vatican City |
| EV charging station locations | Includes the address, operating company, and available charging ports at each location. Each point in this layer represents a single station. | Google Maps | Professional Advanced | United States Australia Belgium Bulgaria France Germany Italy Netherlands Norway Switzerland Andorra Croatia Czechia Estonia Hungary Iceland Latvia Liechtenstein Lithuania Monaco Slovakia Slovenia Vatican City |
| EV charging station search interest | Represents monthly searches on Google Maps mobile within each census tract boundary. Numbers are aggregated based on coarsened user locations and have been anonymized. The anonymized aggregates are then converted to an index from 0 to 100, where 100 signifies the highest search interest and 0 the lowest. |
Google Maps | Professional Advanced | United States |
| Household income | The median household income within each census tract boundary. | United States Census (2020) | Standard | United States |
| Land surface temperature (by US census tracts) | The average of surface temperature values (celsius) within each census tract, from the United States Geological Survey (USGS) Landsat 7,8,9 during the three warmest months of the year (for example, June, July, August in the northern hemisphere) for six years (2018-2023). Note: Summer daytime land surface temperature is often warmer than air temperature, because surface materials absorb sunlight and convert it to heat more readily than air. |
USGS Landsat 7, 8, 9 | Professional | United States |
| Localities |
Civil entities like cities, towns, and municipalities, as defined by local city governments. Not seeing full coverage? Try adding the Administrative area level 3 data layer to see more geographic divisions of similar size. |
Google Maps | Standard | United States |
| Inbound monthly vehicle trips |
The estimated total monthly vehicle trips inbound to each census tract, limited to trips within each greater metropolitan area. These metrics have been anonymized with differential privacy techniques, aggregated at the US Census Tract level, then scaled up to represent the larger traveling population. |
Google Maps | Professional Advanced | Atlanta Boston Chicago Dallas Denver Houston Las Vegas Los Angeles Miami New York Orlando Philadelphia San Diego San Francisco Seattle Washington DC |
| Intrabound monthly vehicle trips | The estimated total monthly vehicle trips intrabound within each census tract. These metrics have been anonymized with differential privacy techniques, aggregated at the US Census Tract level, then scaled up to represent the larger traveling population. |
Google Maps | Professional Advanced | Atlanta Boston Chicago Dallas Denver Houston Las Vegas Los Angeles Miami New York Orlando Philadelphia San Diego San Francisco Seattle Washington DC |
| Land use zones | Zoning information | Zoneomics | Professional Advanced | Australia, Canada, United States |
| Multi-dwelling unit counts | A multi-dwelling unit is defined as a building or group of buildings that contain multiple separate housing units. | Google Maps, American Community Survey |
Professional Advanced | United States |
| Outbound monthly vehicle trips | The estimated total monthly vehicle trips outbound from each census tract, limited to trips within each greater metropolitan area. These metrics have been anonymized with differential privacy techniques, aggregated at the US Census Tract level, then scaled up to represent the larger traveling population. |
Google Maps | Professional Advanced | Atlanta Boston Chicago Dallas Denver Houston Las Vegas Los Angeles Miami New York Orlando Philadelphia San Diego San Francisco Seattle Washington DC |
| Population (Global Human Settlement Layer) | Projected population counts and density (per square meter), as aggregated within each census tract boundary. | European Commission, Joint Research Centre (JRC) | Standard | United States Australia Belgium Bulgaria France Germany Italy Netherlands Norway Switzerland Andorra Croatia Czechia Estonia Hungary Iceland Latvia Liechtenstein Lithuania Monaco Slovakia Slovenia Vatican City |
| Population (WorldPop, by postal code) | Projected population counts and density (per square meter), as aggregated within each postal code boundary. | WorldPop | Standard | United States Australia Belgium Bulgaria France Germany Italy Netherlands Norway Switzerland Andorra Croatia Czechia Estonia Hungary Iceland Latvia Liechtenstein Lithuania Monaco Slovakia Slovenia Vatican City |
| Population (WorldPop by US census tract) | Projected population counts and density (per square meter), as aggregated within each census tract boundary. | WorldPop | Standard | United States |
| Postal codes | Geographic boundaries as defined by the postal service. | United States Postal Service | Standard | United States |
| Rooftop reflectivity / albedo (by US census tract) | Average solar reflectivity – also known as albedo – of rooftops in a census tract. This is defined as the fraction of sunlight that is reflected from a surface. It is measured on a scale of 0 (absorbs all incident radiation) to 1 (reflects all incident radiation). Rooftop reflectivity on low-slope roofs is the average across low-slope roof segments. Low-slope roofs have pitches (measured as a ratio of the number of inches that the roof rises for every 12 horizontal inches) that are ≤ 2:12. Rooftop reflectivity on steep-slope roofs is the average across steep-slope roof segments. Steep-slope roofs have pitches that are > 2:12. |
Professional Advanced | Austin, TX Baltimore, MD Boston, MA Boulder, CO Colorado Springs, CO Los Angeles, CA Miami-Dade, FL Nashville, TN New York, NY Phoenix, AZ San Antonio, TX Stockton, CA Tempe, AZ Washington, D.C. |
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| Traffic signal level of service | Grades the level of service for intersections with traffic signals, based on vehicle delay times. These are calculated using anonymized and aggregated Google data. Grades span A-F and are available for each hour between 06:00–22:00. | Professional Advanced | Boston, MA Nashville, TN Seattle, WA Parts of Florida |
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| Tree canopy percentage (by US census tract) | Tree canopy percentage is estimated as the percentage of pixels in a census tract that are categorized as "tree", based on an AI model that was trained to categorize pixels in high-resolution overhead imagery into a number of terrain types, such as "tree" or "road". | Professional Advanced | United States | |
| Tree canopy percentage (by postal code) | Tree canopy percentage is estimated as the percentage of pixels in a postal code that are categorized as "tree", based on an AI model that was trained to categorize pixels in high-resolution overhead imagery into a number of terrain types, such as "tree" or "road". | Professional Advanced | United States Australia Belgium Bulgaria France Germany Italy Netherlands Norway Switzerland Andorra Croatia Czechia Estonia Hungary Iceland Latvia Liechtenstein Lithuania Monaco Slovakia Slovenia Vatican City |
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| US census tracts | Subdivisions, typically of a county or statistically equivalent entity, delineated by local participants as part of the US Census Bureau's Participant Statistical Areas Program. Boundaries normally follow physical features but can also follow administrative or other nonphysical features. | United States Census | Standard | United States |
| US land parcels with zoning | Land parcels across the United States for which zoning information is available. | Zoneomics, Google Maps |
Professional Advanced | United States |
| US Future land use | This color-coded data layer provides guidance from local municipalities on future land use, with detailed information embedded within each zone, for available towns only. | Zoneomics | Professional Advanced | United States |