Wealth Ranking
Also known as: Wellbeing Ranking, Wealth Ranking Card Sort, Social Stratification Ranking, Wealth Grouping
Wealth ranking is a participatory rural appraisal technique in which knowledgeable community members sort cards representing local households into a set of wealth or wellbeing strata that they themselves define. Several informants each perform the sort independently, and because they may use different numbers of piles, their placements are converted to a common scale and averaged into a relative wealth score for every household. The procedure produces both a stratification of the community and, crucially, the local (emic) criteria people actually use to judge who is poor and who is well off.
Key highlights
- Recovers emic criteria of wealth and poverty, revealing the community's own model of deprivation rather than an imposed metric.
- Produces a relative ranking of every household quickly and cheaply, useful for sampling, targeting, and stratified analysis.
- Using several independent sorters yields a stable averaged score and turns disagreement into a measure of contestation.
- Low-literacy and card-based, making it accessible and engaging for informants across very different contexts.
Intuition
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How it works
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When to use it
Use wealth ranking when you need to stratify a community by socioeconomic standing on local terms — for example to sample across wealth groups, to target or evaluate a programme, or to study inequality and poverty as the community understands it. It works best in small, bounded communities where informants know most households and where wellbeing is socially legible. It assumes a reasonably complete household roster and informants willing to judge their neighbours. It is less suitable for large anonymous populations, for settings where ranking neighbours is socially explosive, or when you require absolute income figures rather than relative standing.
Strengths & limitations
- Recovers emic criteria of wealth and poverty, revealing the community's own model of deprivation rather than an imposed metric.
- Produces a relative ranking of every household quickly and cheaply, useful for sampling, targeting, and stratified analysis.
- Using several independent sorters yields a stable averaged score and turns disagreement into a measure of contestation.
- Low-literacy and card-based, making it accessible and engaging for informants across very different contexts.
- Gives relative standing, not absolute income or asset values, so it cannot be compared directly across communities.
- Depends on informants knowing the households well; it breaks down in large or anonymous populations.
- Sorters apply different and partly idiosyncratic criteria, so aggregation can blur genuinely different dimensions of wellbeing.
- Asking residents to rank neighbours is socially sensitive and can be intrusive, biased by rivalry, or simply refused.
Common pitfalls
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Applications
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Frequently asked
How many informants should do the sorting?
Typically several independent sorters — often around three to six knowledgeable residents — are enough to produce a stable averaged ranking and to reveal where judgments diverge. More sorters tighten the estimate and expose contested households, but each must genuinely know most of the households, so quality of knowledge matters more than sheer numbers.
How are different sorters' piles combined when they use different numbers of strata?
Each informant's piles are rescaled onto a common range (for example 0 to 100, top to bottom) so that a three-pile sort and a five-pile sort become comparable. A household's rescaled placements are then averaged across the informants who ranked it, w̄_h = (1/n_h) Σ s_ih, giving a relative wealth score; the variance of those placements indicates agreement.
Is wealth ranking ethical given that people are judging their neighbours?
It can be, but it demands care. Cards and results must be kept confidential, informants must consent and be free to decline, and in communities where ranking neighbours would cause conflict the method may be inappropriate. Done sensitively in small communities, it is often less intrusive than a detailed income survey because it builds on judgments people already make informally.
Sources
- 1.Chambers, R. (1994). The origins and practice of participatory rural appraisal. World Development, 22(7), 953–969.
- 2.Bernard, H. R. (2017). Research Methods in Anthropology: Qualitative and Quantitative Approaches (6th ed.). Lanham, MD: Rowman & Littlefield.ISBN 9780759112421
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Cite this page
ScholarGate. (2026, June 22). Wealth Ranking. ScholarGate. https://scholargate.app/anthropology/wealth-ranking