Skip to main content

Main menu

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Special Collections
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Tips for Writing About Programs in GHSP
      • Local Voices Webinar
      • Connecting Creators and Users of Knowledge
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers

User menu

  • My Alerts

Search

  • Advanced search
Global Health: Science and Practice
  • My Alerts

Global Health: Science and Practice

Dedicated to what works in global health programs

Advanced Search

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Special Collections
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Tips for Writing About Programs in GHSP
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Alerts
  • Find GHSP on LinkedIn
  • Visit GHSP on Facebook
  • RSS
COMMENTARY
Open Access

Trends and Patterns in Wealth Index Assets: Observations From 68 Countries

Andrew Corley, Claire Dunn, Yuen Wai Hung, Andrea Sprockett, Dominic Montagu and Nirali Chakraborty
Global Health: Science and Practice June 2026, https://doi.org/10.9745/GHSP-D-24-00132
Andrew Corley
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: andrew{at}m4mgmt.org
Claire Dunn
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yuen Wai Hung
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrea Sprockett
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dominic Montagu
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nirali Chakraborty
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PreviousNext
  • Article
  • Figures & Tables
  • Supplements
  • Info & Metrics
  • Comments
  • PDF
Loading

Figures & Tables

Figures

  • Tables
  • Additional Files
  • Geographic Distribution of EquityTool Countries
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1

    Geographic Distribution of EquityTool Countries

  • Frequency of Appearance of Unique Asset Categories in Most Recent EquityTools (N=68)
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2

    Frequency of Appearance of Unique Asset Categories in Most Recent EquityTools (N=68)

  • Changes in EquityTool Asset Appearance Over Time
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 3

    Changes in EquityTool Asset Appearance Over Time

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1.

    EquityTool Countries by Region

    RegionNo. of CountriesCountries
    East Asia and the Pacific9Cambodia, Indonesia, Laos, Myanmar, Papua New Guinea, Philippines, Thailand, Timor Leste, Vietnam
    Europe and Central Asia2Armenia, Tajikistan
    Latin America and the Caribbean11Argentina, Belize, Colombia, Dominican Republic, El Salvador, Guatemala, Haiti, Honduras, Mexico, Peru, Uruguay
    Middle East and North Africa3Egypt, Jordan, Tunisia
    South Asia5Afghanistan, Bangladesh, India, Nepal, Pakistan
    Sub-Saharan Africa38Angola, Benin, Burkina Faso, Burundi, Cameroon, Chad, Côte d’Ivoire, Democratic Republic of the Congo, Djibouti, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Liberia, Madagascar, Malawi, Mali, Mauritania, Mozambique, Namibia, Niger, Nigeria, Republic of Congo, Rwanda, Senegal, Sierra Leone, Somalia, South Africa, Sudan, Tanzania, Togo, Uganda, Zambia, Zimbabwe
    • View popup
    TABLE 2.

    Frequency of Appearance of Assets in EquityTools by Country Income Group,a No. (%)

    AssetLow-Income Countries
    (N=26)
    Lower-Middle-Income Countries
    (N=31)
    Upper-Middle-Income Countries
    (N=11)
    Bank account19 (73.1)22 (71.0)—
    Bed7 (26.9)——
    Car or truck——5 (45.5)
    Chair7 (26.9)——
    Computer—18 (58.1)8 (72.7)
    Cooking fuel23 (88.5)24 (77.4)3 (27.3)
    Cupboard/bookcase7 (26.9)——
    Drinking water source11 (42.3)14 (45.2)5 (45.5)
    DVD/VCD player——3 (27.3)
    Electric fan—12 (38.7)—
    Electricity23 (88.5)12 (38.7)—
    Exterior wall material19 (73.1)16 (51.6)4 (36.4)
    Floor material24 (92.3)22 (71.0)6 (54.5)
    Internet access——4 (36.4)
    Landline telephone——4 (36.4)
    Microwave——7 (63.6)
    Mobile phone9 (34.6)——
    Radio13 (50.0)——
    Refrigerator12 (46.2)27 (87.1)5 (45.5)
    Roof material19 (73.1)14 (45.2)6 (54.5)
    Sofa/divan——5 (45.5)
    Television22 (84.6)19 (61.3)—
    Toilet facility14 (53.8)19 (61.3)9 (81.8)
    Washing machine—11 (35.5)5 (45.5)
    Watch13 (50.0)10 (32.3)—
    • ↵a Contains all assets appearing in 25% or more of the most recent EquityTool for each country for any of the 3 country income groups.

    • View popup
    TABLE 3.

    Frequency of Appearance of Type of Roof, Wall, and Floor Materials in EquityTools by Country Income Group,a No. (%)

    Material TypeLow-Income Countries
    (N=43)
    Lower-Middle-Income Countries
    (N=43)
    Upper-Middle-Income Countries
    (N=12)
    RoofWallFloorRoofWallFloorRoofWallFloor
    Finished28 (65.1)29 (67.4)33 (76.7)18 (41.9)26 (60.5)21 (48.8)9 (75.0)12 (100.0)9 (75.0)
    Rudimentary2 (4.7)1 (2.3)8 (18.6)2 (4.7)4 (9.3)1 (2.3)———
    Natural23 (53.5)40 (93.0)16 (37.2)4 (9.3)20 (46.5)10 (23.3)———
    • ↵a Contains data from all EquityTools. Some EquityTools include more than one asset item.

    • View popup
    TABLE 4.

    Frequency of Appearance of Cooking Fuels in EquityTools by Country Income Group,a No. (%)

    Cooking FuelLow-Income Countries
    (N=43)
    Lower-Middle-Income Countries
    (N=43)
    Upper-Middle-Income Countries
    (N=12)
    Agricultural products (crops, straw, shrubs, grass)2 (4.7)2 (4.7)—
    Animal dung1 (2.3)——
    Charcoal18 (41.9)2 (4.7)1 (8.3)
    Electricity4 (9.3)4 (9.3)1 (8.3)
    Kerosene—1 (2.3)—
    Cooking gas (LPG, natural, biogas)4 (9.3)24 (55.8)3 (25.0)
    Wood33 (76.7)24 (55.8)1 (8.3)
    • Abbreviation: LPG, liquefied petroleum gas.

    • ↵a Contains data from all EquityTools. Some EquityTools contain more than one cooking fuel asset question.

    • View popup
    TABLE 5.

    Frequency of Appearance of Water Sources in EquityTools by Country Income Group,a No. (%)

    Water SourcesLow-Income Countries
    (N=43)
    Lower-Middle-Income Countries
    (N=43)
    Upper-Middle-Income Countries
    (N=12)
    Piped water
    Piped into dwelling8 (18.6)8 (18.6)4 (33.3)
    Piped into a yard/plot6 (14.0)——
    Public tap/standpipe3 (7.0)——
    Tube well or borehole1 (2.3)1 (2.3)—
    Packaged/sold water
    Bottled water—7 (16.3)1 (8.3)
    Sachet water—2 (4.7)—
    Water sales company2 (4.7)——
    Protected ground source
    Protected spring—1 (2.3)—
    Protected well1 (2.3)1 (2.3)—
    Unprotected ground or surface source
    Surface water (river/dam/lake/pond/stream/canal/irrigation channel)1 (2.3)1 (2.3)—
    Unprotected spring4 (9.3)——
    Unprotected well3 (7.0)2 (4.7)—
    • ↵a Contains data from all EquityTools. Some EquityTools contain more than one water source asset item.

    • View popup
    TABLE 6.

    Frequency of Toilet Types in EquityTools by Country Income Group,a No. (%)

    Toilet TypesLow-Income Countries
    (N=43)
    Lower-Middle-Income Countries
    (N=43)
    Upper-Middle-Income Countries
    (N=12)
    Flush or pour flush toilet
    Flush to the piped sewer system6 (14.0)10 (23.3)9 (75.0)
    Flush to pit latrine1 (2.3)——
    Flush to septic tank11 (25.6)10 (23.3)1 (8.3)
    Flush to somewhere else1 (2.3)—1 (8.3)
    Toilet in own dwelling—3 (7.0)2 (16.7)
    Toilet outside dwelling——1 (8.3)
    Pit latrine
    Pit latrine with slab7 (16.3)——
    Pit latrine without slab/open pit4 (9.3)4 (9.3)—
    Ventilated improved pit latrine1 (2.3)——
    No facility/bush/field
    No facilities/bush/field15 (34.9)7 (16.3)—
    Other
    Any type of toilet/latrine—1 (2.3)1 (8.3)
    • ↵a Contains data from all EquityTools. Some EquityTools contain more than one toilet type asset item.

Additional Files

  • Figures
  • Tables
  • Supplemental material

    • Text s01, XLSX - Text s01, XLSX
PreviousNext
Back to top

In this issue

Global Health: Science and Practice: 13 (2)
Global Health: Science and Practice
Vol. 13, No. 2
December 31, 2025
  • Table of Contents
  • About the Cover
  • Index by Author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Global Health: Science and Practice.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Trends and Patterns in Wealth Index Assets: Observations From 68 Countries
(Your Name) has forwarded a page to you from Global Health: Science and Practice
(Your Name) thought you would like to see this page from the Global Health: Science and Practice web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Trends and Patterns in Wealth Index Assets: Observations From 68 Countries
Andrew Corley, Claire Dunn, Yuen Wai Hung, Andrea Sprockett, Dominic Montagu, Nirali Chakraborty
Global Health: Science and Practice Jun 2026, DOI: 10.9745/GHSP-D-24-00132

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Trends and Patterns in Wealth Index Assets: Observations From 68 Countries
Andrew Corley, Claire Dunn, Yuen Wai Hung, Andrea Sprockett, Dominic Montagu, Nirali Chakraborty
Global Health: Science and Practice Jun 2026, DOI: 10.9745/GHSP-D-24-00132
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Statistics from Altmetric.com

Jump to section

  • Article
    • INTRODUCTION
    • ANALYSIS OF EQUITYTOOL ASSETS
    • FOUR AXIOMS FOR RAPID WEALTH ASSESSMENTS
    • LIMITATIONS
    • CONCLUSION
    • Author contributions
    • Competing interests
    • Notes
    • REFERENCES
  • Figures & Tables
  • Supplements
  • Info & Metrics
  • Comments
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • People that Deliver: Established to Address the Health Supply Chain Workforce Gap
  • mHealth and Digital Innovations as Catalysts for Transforming Mental Health Care in Ghana
Show more COMMENTARY

Similar Articles

Johns Hopkins Center for Communication Programs

Follow Us On

  • LinkedIn
  • Facebook
  • RSS

Articles

  • Current Issue
  • Advance Access Articles
  • Past Issues
  • Topic Collections
  • Most Read Articles
  • Supplements

More Information

  • Submit a Paper
  • Instructions for Authors
  • Instructions for Reviewers

About

  • About GHSP
  • Advisory Board
  • FAQs
  • Privacy Policy
  • Contact Us

© 2026 Creative Commons Attribution 4.0 International License. ISSN: 2169-575X

Powered by HighWire