SlideShare ist ein Scribd-Unternehmen logo
1 von 5
Downloaden Sie, um offline zu lesen
Methodology Statement:
Esri US Consumer Spending
Database
An Esri®
White Paper
March 2013
Copyright © 2013 Esri
All rights reserved.
Printed in the United States of America.
The information contained in this document is the exclusive property of Esri. This work is protected under United States
copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or
transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any
information storage or retrieval system, except as expressly permitted in writing by Esri. All requests should be sent to
Attention: Contracts and Legal Services Manager, Esri, 380 New York Street, Redlands, CA 92373-8100 USA.
The information contained in this document is subject to change without notice.
Esri, the Esri globe logo, Tapestry, other Esri trademarks, registered trademarks, logos, and, esri.com, and @esri.com are
trademarks, service marks, or registered marks of Esri in the United States, the European Community, or certain other
jurisdictions. Other companies and products or services mentioned herein may be trademarks, service marks, or registered
marks of their respective mark owners.
J9945
Esri White Paper
Methodology Statement: Esri US
Consumer Spending Database
Esri has combined the latest Consumer Expenditure Surveys (CEX),
20102011, from the Bureau of Labor Statistics (BLS) to estimate current
spending patterns. These continuing surveys include a diary survey of
daily purchases and an interview survey of general purchases. The diary
survey represents record keeping by consumer units for two consecutive
weeklong periods. This component of CEX collects data on small, daily
purchases that could be overlooked by the quarterly interview survey. The
interview survey collects expenditure data from consumers in five
interviews conducted every three months. Esri integrates data from both
surveys to provide a comprehensive database on all consumer
expenditures. To compensate for the relatively small CEX survey bases
and the variability of single-year data, expenditures are averaged from the
2010 and 2011 surveys.
Esri has updated the models used to estimate consumer spending with its 2012
demographic updates and its Tapestry™ Segmentation system. A conditional probability
model links the spending of consumer units in CEX to all households with similar
socioeconomic characteristics, then integrates consumer spending with Tapestry to
differentiate consumer spending by market. The distinction is particularly effective
among the smallest US market areas, where differences in consumer spending can be
difficult to measure, and for the largest-ticket items, where consumer preferences are
more pronounced.
Direct comparison with previous CEX databases is affected by changes not only in
consumer spending but also in the data. Esri's 2012 demographic updates and Tapestry
system employ a Census 2010 base and sample data from the 2006–2010 American
Community Survey (ACS). The changes introduced with Census 2010, including the
replacement of census sample data with ACS data, also influence differences from earlier
updates.
Spending patterns are developed by Tapestry market and updated to 2012 by adjusting to
current levels of income. Expenditures represent the 2012 annual averages and totals.
Data is reported by product or service and includes total expenditures, average spending
per household, and a Spending Potential Index (SPI). While the average expenditure
reflects the average amount spent per household, total expenditure represents the
aggregate amount spent by all households in an area. The SPI compares the average local
expenditure for a product to the average amount spent nationally. An index of 100 is
average, so, for example, an SPI of 120 would show that average spending by local
consumers is 20 percent above the national average.
Since 1980, the CEX program has provided the data to study consumer spending and its
effect on the gross national product. Nationally, the data is also used to measure the
Methodology Statement: Esri US Consumer Spending Database
J9945
March 2013 2
effects of economic policy changes or assess the welfare of populations such as the
elderly or low-income families.
For more than 30 years, Esri consumer spending estimates have provided the data to
measure local demand for goods and services.
Esri's Data
Development Team
Led by chief demographer Lynn Wombold, Esri's data development team has a 35-year
history of excellence in market intelligence. The combined expertise of the team's
economists, statisticians, demographers, geographers, and analysts totals nearly a century
of data and segmentation development experience. The team develops datasets, including
the demographic update, Tapestry Segmentation, Consumer Spending, Market Potential,
and Retail MarketPlace, that are now industry benchmarks.
Printed in USA
Contact Esri
380 New York Street
Redlands, California 92373-8100  usa
1 800 447 9778
t  909 793 2853
f  909 793 5953
info@esri.com
esri.com
Offices worldwide
esri.com/locations
Esri inspires and enables people to positively impact their
future through a deeper, geographic understanding of the
changing world around them.
Governments, industry leaders, academics, and nongovernmental
organizations trust us to connect them with the analytic knowledge
they need to make the critical decisions that shape the planet. For
more than 40 years, Esri has cultivated collaborative relationships
with partners who share our commitment to solving earth’s most
pressing challenges with geographic expertise and rational resolve.
Today, we believe that geography is at the heart of a more resilient
and sustainable future. Creating responsible products and solutions
drives our passion for improving quality of life everywhere.

Weitere ähnliche Inhalte

Mehr von Esri

Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Esri
 
Plataforma Smart City de Móstoles
Plataforma Smart City de MóstolesPlataforma Smart City de Móstoles
Plataforma Smart City de MóstolesEsri
 
ArcGIS Online para Organizaciones
ArcGIS Online para OrganizacionesArcGIS Online para Organizaciones
ArcGIS Online para OrganizacionesEsri
 
Molina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart cityMolina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart cityEsri
 
Portal for ArcGIS
Portal for ArcGISPortal for ArcGIS
Portal for ArcGISEsri
 
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataGIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataEsri
 
An Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water ProtectionAn Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water ProtectionEsri
 
GeoCollector for ArcPad
GeoCollector for ArcPadGeoCollector for ArcPad
GeoCollector for ArcPadEsri
 
GeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows MobileGeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows MobileEsri
 
Data Appliance for ArcGIS
Data Appliance for ArcGISData Appliance for ArcGIS
Data Appliance for ArcGISEsri
 
Esri and BlackBridge
Esri and BlackBridgeEsri and BlackBridge
Esri and BlackBridgeEsri
 
GeoPlanner for ArcGIS
GeoPlanner for ArcGISGeoPlanner for ArcGIS
GeoPlanner for ArcGISEsri
 
Esri and AccuWeather
Esri and AccuWeatherEsri and AccuWeather
Esri and AccuWeatherEsri
 
Esri and Airbus Defense & Space
Esri and Airbus Defense & SpaceEsri and Airbus Defense & Space
Esri and Airbus Defense & SpaceEsri
 
Esri US Data Fact Sheet
Esri US Data Fact SheetEsri US Data Fact Sheet
Esri US Data Fact SheetEsri
 
ArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure JumpstartArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure JumpstartEsri
 
ArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime OperationsArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime OperationsEsri
 
Esri Geoportal Server
Esri Geoportal ServerEsri Geoportal Server
Esri Geoportal ServerEsri
 
ArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for ServerArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for ServerEsri
 
The NATO Core Geographic Services System
The NATO Core Geographic Services SystemThe NATO Core Geographic Services System
The NATO Core Geographic Services SystemEsri
 

Mehr von Esri (20)

Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
 
Plataforma Smart City de Móstoles
Plataforma Smart City de MóstolesPlataforma Smart City de Móstoles
Plataforma Smart City de Móstoles
 
ArcGIS Online para Organizaciones
ArcGIS Online para OrganizacionesArcGIS Online para Organizaciones
ArcGIS Online para Organizaciones
 
Molina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart cityMolina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart city
 
Portal for ArcGIS
Portal for ArcGISPortal for ArcGIS
Portal for ArcGIS
 
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataGIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
 
An Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water ProtectionAn Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water Protection
 
GeoCollector for ArcPad
GeoCollector for ArcPadGeoCollector for ArcPad
GeoCollector for ArcPad
 
GeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows MobileGeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows Mobile
 
Data Appliance for ArcGIS
Data Appliance for ArcGISData Appliance for ArcGIS
Data Appliance for ArcGIS
 
Esri and BlackBridge
Esri and BlackBridgeEsri and BlackBridge
Esri and BlackBridge
 
GeoPlanner for ArcGIS
GeoPlanner for ArcGISGeoPlanner for ArcGIS
GeoPlanner for ArcGIS
 
Esri and AccuWeather
Esri and AccuWeatherEsri and AccuWeather
Esri and AccuWeather
 
Esri and Airbus Defense & Space
Esri and Airbus Defense & SpaceEsri and Airbus Defense & Space
Esri and Airbus Defense & Space
 
Esri US Data Fact Sheet
Esri US Data Fact SheetEsri US Data Fact Sheet
Esri US Data Fact Sheet
 
ArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure JumpstartArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure Jumpstart
 
ArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime OperationsArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime Operations
 
Esri Geoportal Server
Esri Geoportal ServerEsri Geoportal Server
Esri Geoportal Server
 
ArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for ServerArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for Server
 
The NATO Core Geographic Services System
The NATO Core Geographic Services SystemThe NATO Core Geographic Services System
The NATO Core Geographic Services System
 

Kürzlich hochgeladen

Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxfnnc6jmgwh
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 

Kürzlich hochgeladen (20)

Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 

Esri Data: US Consumer Spending Methodology Statement

  • 1. Methodology Statement: Esri US Consumer Spending Database An Esri® White Paper March 2013
  • 2. Copyright © 2013 Esri All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive property of Esri. This work is protected under United States copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any information storage or retrieval system, except as expressly permitted in writing by Esri. All requests should be sent to Attention: Contracts and Legal Services Manager, Esri, 380 New York Street, Redlands, CA 92373-8100 USA. The information contained in this document is subject to change without notice. Esri, the Esri globe logo, Tapestry, other Esri trademarks, registered trademarks, logos, and, esri.com, and @esri.com are trademarks, service marks, or registered marks of Esri in the United States, the European Community, or certain other jurisdictions. Other companies and products or services mentioned herein may be trademarks, service marks, or registered marks of their respective mark owners.
  • 3. J9945 Esri White Paper Methodology Statement: Esri US Consumer Spending Database Esri has combined the latest Consumer Expenditure Surveys (CEX), 20102011, from the Bureau of Labor Statistics (BLS) to estimate current spending patterns. These continuing surveys include a diary survey of daily purchases and an interview survey of general purchases. The diary survey represents record keeping by consumer units for two consecutive weeklong periods. This component of CEX collects data on small, daily purchases that could be overlooked by the quarterly interview survey. The interview survey collects expenditure data from consumers in five interviews conducted every three months. Esri integrates data from both surveys to provide a comprehensive database on all consumer expenditures. To compensate for the relatively small CEX survey bases and the variability of single-year data, expenditures are averaged from the 2010 and 2011 surveys. Esri has updated the models used to estimate consumer spending with its 2012 demographic updates and its Tapestry™ Segmentation system. A conditional probability model links the spending of consumer units in CEX to all households with similar socioeconomic characteristics, then integrates consumer spending with Tapestry to differentiate consumer spending by market. The distinction is particularly effective among the smallest US market areas, where differences in consumer spending can be difficult to measure, and for the largest-ticket items, where consumer preferences are more pronounced. Direct comparison with previous CEX databases is affected by changes not only in consumer spending but also in the data. Esri's 2012 demographic updates and Tapestry system employ a Census 2010 base and sample data from the 2006–2010 American Community Survey (ACS). The changes introduced with Census 2010, including the replacement of census sample data with ACS data, also influence differences from earlier updates. Spending patterns are developed by Tapestry market and updated to 2012 by adjusting to current levels of income. Expenditures represent the 2012 annual averages and totals. Data is reported by product or service and includes total expenditures, average spending per household, and a Spending Potential Index (SPI). While the average expenditure reflects the average amount spent per household, total expenditure represents the aggregate amount spent by all households in an area. The SPI compares the average local expenditure for a product to the average amount spent nationally. An index of 100 is average, so, for example, an SPI of 120 would show that average spending by local consumers is 20 percent above the national average. Since 1980, the CEX program has provided the data to study consumer spending and its effect on the gross national product. Nationally, the data is also used to measure the
  • 4. Methodology Statement: Esri US Consumer Spending Database J9945 March 2013 2 effects of economic policy changes or assess the welfare of populations such as the elderly or low-income families. For more than 30 years, Esri consumer spending estimates have provided the data to measure local demand for goods and services. Esri's Data Development Team Led by chief demographer Lynn Wombold, Esri's data development team has a 35-year history of excellence in market intelligence. The combined expertise of the team's economists, statisticians, demographers, geographers, and analysts totals nearly a century of data and segmentation development experience. The team develops datasets, including the demographic update, Tapestry Segmentation, Consumer Spending, Market Potential, and Retail MarketPlace, that are now industry benchmarks.
  • 5. Printed in USA Contact Esri 380 New York Street Redlands, California 92373-8100  usa 1 800 447 9778 t  909 793 2853 f  909 793 5953 info@esri.com esri.com Offices worldwide esri.com/locations Esri inspires and enables people to positively impact their future through a deeper, geographic understanding of the changing world around them. Governments, industry leaders, academics, and nongovernmental organizations trust us to connect them with the analytic knowledge they need to make the critical decisions that shape the planet. For more than 40 years, Esri has cultivated collaborative relationships with partners who share our commitment to solving earth’s most pressing challenges with geographic expertise and rational resolve. Today, we believe that geography is at the heart of a more resilient and sustainable future. Creating responsible products and solutions drives our passion for improving quality of life everywhere.