Links to the methodology statements for Esri Demographics U.S. and global data are provided below.
Global data
Links to the methodology statements for Esri Demographics global data are provided below.
Standard demographics
Methodological Notes and Usage of MB-Research Market Data (PDF)—This document describes the methodology for global standard demographics data from Michael Bauer Research GmbH (MB-Research).
Advanced demographics
The methodology statements for Esri Demographics Advanced demographics data are included in the topics for the following countries:
Canada
The methodologies for advanced demographics data for Canada are included in the Canada topic.
Germany
The methodologies for advanced demographics data for Germany are included in the Germany topic.
India
The methodology for advanced demographics data for India are included in the India topic.
Japan
The methodologies for advanced demographics data for Japan are included in the Japan topic.
Mexico
The methodology for advanced demographics data for Mexico is included in the Mexico topic.
Spain
The methodology for advanced demographics data for Spain is included in the Spain topic.
Thailand
The methodology for advanced demographics data for Thailand is included in the Thailand topic.
U.S. data
The methodology statements for Esri Demographics Advanced demographics data are provided as ArcGIS StoryMaps and in PDF format. For methodologies for previous releases, see the United States topics:
- 2020 Census Esri Methodology Statement—Describes how Esri added value to 2020 Census data. A PDF is available.
- 2018–2022 American Community Survey Esri Methodology Statement—Summarizes the 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. A PDF is available.
- 2024/2029 Esri Dependency Ratios Methodology Statement—Defines the Age Dependency Ratios and how they are calculated. A PDF is available.
- 2024/2029 Esri Diversity Index Methodology Statement—Defines the U.S. Diversity Index and describes the features of the Esri race and ethnic origin database that is supplemented by a diversity index. A PDF is available.
- 2024/2029 Income Tiers and Measures of Income Inequality Methodology Statement—Describes how Esri quantified lower, middle, and upper tiers of households by income and provided a full suite of income inequality measures. A PDF is available.
- 2024/2029 Esri Updated Demographics Methodology Statement—Esri's Updated Demographics data continues to build on the industry's most accurate data, while adapting to changes in source data. A PDF is available.
- 2024 Business Locations and U.S. Business Summary data Esri Methodology Statement—Describes how Esri extracts its business data from a comprehensive list of businesses licensed from Data Axle. A PDF is available.
- 2024/2029 Esri Consumer Spending Methodology Statement—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 Esri Tapestry Segmentation data to provide a comprehensive database about all consumer expenditures. A PDF is available.
- 2024 Esri Daytime Population Methodology Statement—Along with the comprehensive data catalog describing resident populations, Esri's daytime population data adds clarity when the workday portion is a significant consideration in an analysis. A PDF is available.
- 2024 Esri Market Potential Methodology Statement—Explains how Esri calculates its Market Potential data by combining Esri's Tapestry Segmentation data with consumer survey data from the MRI-Simmons Doublebase. A PDF is available.
- 2024 Esri Retail Demand by Industry Methodology Statement—Explains how Esri extended its Consumer Spending estimates to include retail demand by industry based on a subset of retail and related products captured in Esri's Retail Goods product summary variable. A PDF is available.
- 2024 Esri Tapestry Segmentation Methodology Statement—Describes how Esri uses the traditional statistical methodology of cluster analysis with the latest data mining techniques to create Esri Tapestry Segmentation at smaller geographic levels. A PDF is available.
- Esri Urbanicity Type Methodology Statement—Describes how Esri enhances existing statistical definitions of urban-rural relationships by incorporating annual updates of residential and daytime population from Esri Updated Demographics, along with drive times and relative proximity powered by ArcGIS to designate land into one of 10 urbanicity categories. A PDF is available.
- Vintage 2024 Esri Time Series Totals Methodology Statement—Describes Esri's Time Series estimates for total population, households, and housing units. A PDF is available.
- CrimeRisk methodology (PDF)—Describes the methodology for Crime Indexes data.
- TrafficMetrix (PDF)—Describes the methodology for Traffic Counts data.