CPG firms and other companies select pop-up sites by using demographic data to identify where target segments may live and work, allowing them to reduce the risk of a poor site decision. By looking at age, gender, rental price data and living conditions, companies can identify ideal locations based on the target audience of the product potentially being sold at the pop up site.
Regulatory and Compliance Information
This dataset is provided “AS IS” without any warranty, express or implied from CARTO. CARTO disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
About CARTO
From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn’t the same as understanding why they happen there. CARTO is the world’s leading Location Intelligence platform, enabling organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
Data Scientists, Developers and Analysts use CARTO to optimize business processes, and predict future outcomes through the power of Spatial Data Science.
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This listing offers one pricing dimension: Product Access (Units), provided at no cost. It grants subscribers access to the dataset. There are no tiers, instance sizes, or usage add-ons to choose from. Because access is free, you do not pay based on volume or consumption. You subscribe once to unlock the product. The data covers United States population mosaics at a 100-meter grid for 2020, accessible through your cloud data warehouse connection.
Top-of-mind questions for buyers
What does the Product Access (Units) dimension grant me for this population dataset?
One subscription unlocks access to the dataset at no cost. You are not billed per record, per query, or per user. Access covers United States population mosaics on a 100-meter grid for 2020, delivered through your cloud data warehouse connection rather than as a downloaded file.
How does my cost change as I query or process more of this data?
Your cost for this listing does not change with volume. Access is free, so running more queries or covering more area triggers no software charge. Note that your own cloud data warehouse may still bill you for the compute and storage used to process the data.
How do I receive the data after subscribing, and do I need to manage copies?
Access is provided through the native data-sharing features of your cloud data warehouse. You connect your warehouse and use the dataset directly there. You do not manage or maintain copies across environments, and subscribed data stays available through the connection you establish.
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This product contains the spatial raster dataset grids from 1975 to 2100 at 5 years interval representing the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval between 1975 and 2020 are derived from the raw global census data harmonized by CIESIN for the Gridded Population of the World (GPWv4.11) combined with population trends obtained from the Urban Agglomeration time series of the UN World Urbanisation Prospects 2018 (UN WUP 2018 - F22). The 2025-2100 population projections are computed following the 2000-2020 local growth rate in subnational Functional Areas converging to the national growth rate (UN World Population Prospects, 2024) in 100 years and downscaled using CRISP methodology.
GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets down to a granular level. Understand who lives in a catchment, where they work and their spending potential so you can better understand your customers, identify optimal locations to expand your retail footprint, define sales territories for franchisees and run targeted marketing campaigns.
GapMaps provides highly accurate and globally consistent demographic datasets at a granular level. Understand who lives in a trade area, where they work and their spending potential so you can better understand your customers, identify optimal locations to expand your retail footprint, define sales territories for franchisees and run targeted marketing campaigns.
This sample data set contains normalized activity index values for the region surrounding Washington, D.C. aggregated into grid tiles of 100-meter resolution. The data is provided daily from February 2020 to June 2020.