Links to the methodology statements for Esri Demographics U.S. and global data are provided below:
U.S. data
- Methodology Statement: 2015-2019 American Community Survey (PDF)—This document summarizes differences between the American Community Survey data and data from the decennial census. Features provided by Esri, such as additional geographies and proprietary Reliability symbols to simplify use of the data, are also described.
- Methodology Statement: 2020 Esri Age Dependency Ratios (PDF)—This document defines the Age Dependency Ratios and how they are calculated.
- Methodology Statement: 2020/2025 Esri Diversity Index (PDF)—This white paper defines the U.S. Diversity Index and discusses the features of the Esri race and ethnic origin database that is supplemented by a diversity index.
- Methodology Statement: 2020/2025 Esri Updated Demographics (PDF)—Esri's Updated Demographics continue to build on the industry's most accurate data, while adapting to changes in source data.
- Methodology Statement: 2020 US Business Locations and Business Summary Data (PDF)—This document describes how Esri extracts its business data from a comprehensive list of businesses licensed from Infogroup.
- Methodology Statement: 2020/2025 Esri Consumer Spending (PDF)—This methodology white paper describes how Esri integrates data from the latest Consumer Expenditure Surveys (CEX)—the Diary Survey and the Interview Survey—from the Bureau of Labor Statistics with Tapestry Segmentation data to provide a comprehensive database about all consumer expenditures.
- Methodology Statement: 2020 Esri Daytime Population (PDF)—Along with our comprehensive data catalog describing resident populations, Esri's daytime population data adds clarity when the day part is a significant consideration in an analysis.
- Methodology Statement: 2020 Esri Market Potential (PDF)—This document explains how Esri calculates its Market Potential data by combining Esri's Tapestry Segmentation data with consumer survey data from the GfK MRI Doublebase.
- Methodology Statement: 2020 Esri Tapestry Segmentation (PDF)—This document describes how Esri uses the traditional statistical methodology of cluster analysis with the latest data mining techniques to create Tapestry Segmentation at smaller geographic levels.
- Methodology Statement: Vintage 2020 Esri Time Series Totals (PDF)—This document describes Esri's Time Series estimates for total population, households, and housing units.
- Methodology Statement: 2017 Esri Retail MarketPlace in 2020 geography (PDF)— This document explains how Esri built the Retail MarketPlace database to provide a complete assessment of the retail marketplace including a measure of the difference between supply and demand by industry sector.
- Crime Risk Methodology (PDF)—This document describes the methodology for Crime Indexes data.
- DMM Major Shopping Center and Malls Methodology (PDF)—This document describes the methodology for Major Shopping Centers data.
- Traffic Methodology (PDF)—This document describes the methodology for Traffic Counts data.
Global data
Standard Demographics
- MBR Methodology (PDF)—This document describes the methodology for global Standard Demographics data from Michael Bauer Research (MBR).
Advanced Demographics
Australia
The methodologies for Advanced Demographics data for Australia are included in the Oceania topic.
Canada
The methodologies for Advanced Demographics data for Canada are included in the North America topic.
France
The methodologies for Advanced Demographics data for France are included in the Europe topic.
Germany
The methodologies for Advanced Demographics data for Germany are included in the Europe topic.
Japan
The methodologies for Advanced Demographics data for Japan are included in the Asia topic.
Netherlands
The methodologies for Advanced Demographics data for Netherlands are included in the Europe topic.
Spain
The methodologies for Advanced Demographics data for Spain are included in the Europe topic.
Thailand
The methodologies for Advanced Demographics data for Thailand are included in the Asia topic.