Esri Tapestry Segmentation provides detailed summaries of communities across the United States. Residential areas are grouped together into smaller, more manageable segments based on shared demographic, socioeconomic, and lifestyle characteristics. Neighborhoods with the most similar characteristics are grouped together, and neighborhoods showing divergent characteristics are separated. For a broader view of consumer markets, segments are summarized into LifeMode groups and Urbanization groups. LifeMode groups share similar demographic characteristics and consumer behavior patterns, while Urbanization groups are based on segments' geographic and physical features.
Esri Tapestry Segmentation data can be used to understand a community's complexity. Each segment provides insight into patterns at the neighborhood and community level, allowing for comparison across segments and groups. Typically, communities are composed of multiple segments, and the diversity of segments in an area is relevant to understanding the socioeconomic and demographic dynamics of a community. Tapestry segment summaries provide descriptions that synthesize socioeconomic status, neighborhood dynamics, and market potential, providing an enriched understanding of a community.
Vintage
Esri Tapestry Segmentation data is available for the following years:
- 2024 (in 2020 Census geography).
- 2023 (in 2020 Census geography).
Available geographies
Update frequency
Each year, population and household counts by Tapestry segment are updated. While most geographic areas retain their original Tapestry segment assignment, specified areas can be assigned a new market segment when research uncovers new or significant local growth. The entire Esri Tapestry Segmentation system is updated every three to five years, resulting in a more comprehensive reassignment in rapidly changing neighborhoods.
Methodology
Esri Tapestry Segmentation is a market segmentation system that uses an array of variables to describe the characteristics of diverse communities. Each community classification is called a segment, and segments are aggregated into LifeMode and Urbanization groups. LifeMode groups further classify segments based on shared characteristics relating to lifestyle, life stage, housing, and households, while Urbanization groups further classify segments based on location-based commonalities.
The demographic and consumer behavior variables selected for defining segments are chosen from a range of data providers, including demographic data from Esri, the United States Census Bureau, including the 2020 Census and the American Community Survey (ACS), and consumer surveys such as MRI-Simmons. The data available from these providers focuses on household characteristics (for example, family structure, income), personal traits (for example, age, education, employment, marital status), and housing characteristics (for example, home value, type of housing, tenure, seasonal status, and owner costs relative to income).
Esri Tapestry Segmentation is built using multiple clustering techniques to categorize thousands of U.S. neighborhoods into distinct segments. The process begins with the K-means clustering algorithm, which is used to identify groups in data by assigning data points into a specified number of clusters. This method optimizes homogeneity within each cluster through an iterative process. Next, Ward's hierarchical minimum variance method is applied to group these initial clusters into larger segments. This method minimizes the variance within segments by grouping those that are most similar, resulting in a more refined collection of segments.
Esri Tapestry Segmentation combines these traditional methods with advanced data mining techniques to handle and analyze large geodemographic databases, making it less vulnerable to outliers and more reliable for detailed small-area analysis. Regular updates to segments reflect local demographic changes, ensuring the Esri Tapestry Segmentation database remains current relative to the evolving market landscape.
For more information about Esri Tapestry Segmentation methodology, see 2024 Esri Tapestry Segmentation Methodology Statement; a PDF is available.
Considerations
The Esri Tapestry Segmentation database provides a nuanced portrait of communities, and this data is most meaningful when incorporated into hyper-local analysis. The number of neighborhoods that you are generalizing determines your analytic outcome: generalizing large populations tends to reveal broader characteristics and population trends, while classifying smaller populations creates a more detailed and descriptive profile of a community. For example, identifying the predominant segment in a state requires summarizing a population containing millions of individuals. This generalization loses the meaningful, multi-faceted portrait that Esri Tapestry Segmentation presents.
Esri Tapestry Segmentation data is representative of general community-level trends and should not be used to extrapolate characteristics and behaviors at the individual level. In other words, aggregate-level segment information cannot be used to infer information about individuals. For example, a segment associated with a community-level pattern of frequent social media use does not suggest that all individuals residing in that segment frequently use social media.
These limitations should be considered when working with Esri Tapestry Segmentation data. For alternative approaches to identifying socioeconomic and consumer-related patterns across varying levels of geographies, see the following:
- An overview of the Mapping Clusters toolset in ArcGIS Pro
- Perform target marketing in ArcGIS Pro with a Business Analyst license
- Calculate market penetration in ArcGIS Pro with a Business Analyst license
- Enrich a layer with demographic data in ArcGIS Online, ArcGIS Pro, and ArcGIS Location Platform
Tapestry segment summaries
The 67 distinct markets of Tapestry detail the diversity of the United States population. Grouping the segments can simplify these differences by summarizing markets that share similar traits. There are 14 LifeMode groups and 6 Urbanization groups.
LifeMode groups
LifeMode groups represent markets that share a common experience—born in the same generation or immigration from another country, for example—or a significant demographic trait, such as affluence. Tapestry segments are classified into 14 LifeMode groups:
Click a link to view a PDF summary.
LifeMode | Segment ID and name (PDF) |
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LifeMode 1 Affluent Estates
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LifeMode 2 Upscale Avenues
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LifeMode 3 Uptown Individuals
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LifeMode 4 Family Landscapes
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LifeMode 5 GenXurban
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LifeMode 6 Cozy Country Living
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LifeMode 7 Sprouting Explorers
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LifeMode 8 Middle Ground
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LifeMode 9 Senior Styles
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LifeMode 10 Rustic Outposts
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LifeMode 11 Midtown Singles
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LifeMode 12 Hometown
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LifeMode 13 Next Wave
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LifeMode 14 Scholars and Patriots
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All Segment Summaries | All Segment Summaries (96.4 MB) |
Urbanization groups
Tapestry groups are also available as Urbanization summary groups, in which markets share similar locales, from the urban canyons of the largest cities to the rural lanes of villages or farms. Tapestry segments are classified into six Urbanization groups:
Click a link to view a PDF summary.
Urbanization | Segment ID and name (PDF) |
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Principal Urban Centers
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Urban Periphery
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Metro Cities
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Suburban Periphery
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Semirural
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Rural
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Sample reports
The following sample Esri Tapestry Segmentation reports are available:
For more information about reports and the products that contain them, visit Esri Reports.
For information about the number of credits needed to run reports, see Credits by capability.
Release notes
View the release notes for Esri Tapestry Segmentation in the Esri 2024 U.S. Demographics Release Notes (PDF).
Variable lists
The variable lists for Esri Tapestry Segmentation data are in the following data catalogs:
For a list of removed variables for the 2024 release, see the Esri U.S. June 2024 new and removed variables by dataset (XLS).
Other resources
Data availability
Esri Tapestry Segmentation data is available in various products including the following:
- ArcGIS Business Analyst Web App (view a sample infographic), ArcGIS Business Analyst Pro, ArcGIS Business Analyst Enterprise, and ArcGIS Business Analyst Mobile App.
- ArcGIS Community Analyst.
- ArcGIS for Microsoft 365—Add an information card, Add a layer from ArcGIS, or run the LISTDATACOLLECTIONS function.
- ArcGIS GeoEnrichment Service.
- ArcGIS Online—Browse maps and layers, and use the Enrich Layer tool.
- Buy Esri Reports online.
For information about purchasing Esri Tapestry Segmentation data as a stand-alone dataset, contact datasales@esri.com.
Tutorials
For more information on Tapestry Segmentation data, visit Get started with U.S. Updated Demographics—Part 2: Explore lifestyle, behavioral, business, and census data.
Learn how to use and interpret Tapestry Segmentation data with the Use and interpret Esri's Tapestry Segmentation data tutorial.