Sold by: United States Census Bureau
Open data
|
Deployed on AWS
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](https://registry.opendata.aws/census-2020-pl94-nmf/) and [the Demographic and Housing Characteristics File](https://registry.opendata.aws/census-2020-dhc-nmf/). The algorithm used to compute this estimate is described in more detail in [Least Squares Estimation For Hierarchical Data](https://arxiv.org/abs/2404.13164). 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 [...]
Overview
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 2020 Census Redistricting Data File published counts that account for the uncertainty in these published counts due to the disclosure avoidance methods applied to 2020 Census tabulations. In other words, these confidence intervals do not account for other sources of error, such as those due to enumeration errors.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- 2020 Redistricting Data File Least Squares Estimates File
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::uscb-2020-product-releases/decennial/gls/2020/redistricting-gls-estimates
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://uscb-2020-product-releases/decennial/gls/2020/redistricting-gls-estimates/
- Description
- Census Open Data S3 Inventory
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::uscb-opendata-inventory/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://uscb-opendata-inventory//
Resources
Vendor resources
Support
Contact
Managed By
How to cite
2020 Redistricting Data File Least Squares Estimates was accessed on DATE from https://registry.opendata.aws/census-2020-pl94-gls .
License
CC0 1.0 Universal
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