USA Census Bureau - 2020 Census Data (USA, Census Block Groups, 2020)
Data from the 2020 Census as issued in 2021 by the USA Census Bureau, including population, population over 18, population distributed by group quarters and number of housing units across the United States of America. More info at https://www.census.gov/data.html.
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.
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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 has one pricing dimension: Product Access, offered at no cost. It grants subscribers access to the 2020 Census data for USA Census Block Groups. Because there is a single free dimension, there are no tiers, instance sizes, or usage add-ons to compare. You subscribe once to unlock access to the dataset. The dataset can be used within a spatial analytics platform that runs on your cloud data warehouse. There is no metered usage or quantity to configure for this data access.
Top-of-mind questions for buyers
What does the free Product Access subscription actually grant me?
It grants access to the 2020 Census dataset for USA Census Block Groups. You subscribe once to unlock the data. The dataset is delivered through native data-sharing capabilities of your cloud data warehouse, so you use it directly where your data already lives, without copying files across environments.
Will I incur any charges as my usage of this dataset grows?
The Product Access dimension carries no cost, and there is no metered usage or quantity to configure for this data access. Your dataset access does not accrue charges as it scales. Note that your underlying cloud data warehouse may bill separately for storage and queries you run against the data.
Can I export this dataset and use it outside the platform?
Export rights depend on the data provider and the license terms attached to the subscription. Some providers permit use only within the platform, while others allow export into other technologies. Confirm the specific license conditions for this Census dataset with the vendor before planning any external use.
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The 2020 Redistricting Data File Least Squares Estimates data product provides count estimates, and their standard deviations, for each tabulation that was published as part of the persons universe of the 2020 Redistricting Data File for the US, state, county, and tract geographic levels. These estimates are computed using the generalized least squares (GLS) estimator using as input the publicly available 2020 Census persons universe noisy measurement files for both the Redistricting Data File and the Demographic and Housing Characteristics File. The algorithm used to compute this estimate is described in more detail in Least Squares Estimation For Hierarchical Data. As described in more detail in this paper and the README below, the primary goal of this data product is to provide the data required to compute confidence intervals for the [...]
The 2010 Census Production Settings Demographic and Housing Characteristics (DHC) Approximate Monte Carlo (AMC) method seed Privacy Protected Microdata File (PPMF0) and PPMF replicates (PPMF1, PPMF2, ..., PPMF25) are a set of microdata files intended for use in estimating the magnitude of error(s) introduced by the 2020 Decennial Census Disclosure Avoidance System (DAS) into the Redistricting and DHC products. The PPMF0 was created by executing the 2020 DAS TopDown Algorithm (TDA) using the confidential 2010 Census Edited File (CEF) as the initial input; the replicates were then created by executing the 2020 DAS TDA repeatedly with the PPMF0 as its initial input. Inspired by analogy to the use of bootstrap methods in non-private contexts, U.S. Census Bureau (USCB) researchers explored whether simple calculations based on comparing each PPMFi to the PPMF0 could be used to reliably estimate the scale of errors introduced by the 2020 DAS, and generally found this approach worked[...]
The 2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File (2023-06-30) is an intermediate output of the 2020 Census Disclosure Avoidance System (DAS) TopDown Algorithm (TDA) (as described in Abowd, J. et al [2022] https://doi.org/10.1162/99608f92.529e3cb9 , and implemented in https://github.com/uscensusbureau/DAS2020RedistrictingProductionCode). The NMF was produced using the official “production settings,” the final set of algorithmic parameters and privacy-loss budget allocations, that were used to produce the 2020 Census Redistricting Data (P.L. 94-171) Summary File and the 2020 Census Demographic and Housing Characteristics File. The NMF consists of the full set of privacy-protected statistical queries (counts of individuals or housing units with particular combinations of characteristics) of confidential 2010 Census data relating to the 2010 Demonstration Data Products Suite – Redistricting (P.L. 94-171) and De[...]
The 2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03) is an intermediate output of the 2020 Census Disclosure Avoidance System (DAS) TopDown Algorithm (TDA) (as described in Abowd, J. et al [2022] https://doi.org/10.1162/99608f92.529e3cb9 , and implemented in https://github.com/uscensusbureau/DAS2020RedistrictingProductionCode). The NMF was produced using the official “production settings,” the final set of algorithmic parameters and privacy-loss budget allocations, that were used to produce the 2020 Census Redistricting Data (P.L. 94-171) Summary File and the 2020 Census Demographic and Housing Characteristics File.
The NMF consists of the full set of privacy-protected statistical queries (counts of individuals or housing units with particular combinations of characteristics) of confidential 2010 Census data relating to the redistricting data portion of the 2010 Demonstration Data Products Suite – Re[...]