G-P16 · TOPIC · poverty-and-inequalityGCRI dossier · service level R0
GCRISociety and Human DevelopmentIn development
Topic dossier · Society and Human Development

Poverty and inequality

Poverty is a lack of income, assets and basic capabilities; inequality is how unevenly resources and opportunities are spread between people and groups. Shocks such as disasters, price spikes and pandemics push people into poverty and widen gaps, while recovery is often slower for the poor. This page sets out how poverty and inequality are measured and how they respond to shocks, and what evidence serves the governments and agencies working to reduce them.

01In brief

The short answer.

Poverty and inequality are the lack of income, assets and basic capabilities and the uneven spread of resources and opportunities across people and groups. Shocks push households near the poverty line below it, deprivations overlap and persist across generations, and disaggregated data show the groups that averages hide.

02Geography

People and exposure in Latin America and the Caribbean.

For poverty and inequality, in GCRI's spatial-intelligence reading, the map opens on population density and true-colour imagery with true colour from NASA GIBS, framed on Latin America and the Caribbean; every other NASA layer, live feed and forecast waits in the layer list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

People and exposure, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For poverty and inequality, in GCRI's spatial-intelligence reading, the map opens on population density and true-colour imagery with true colour from NASA GIBS, framed on Latin America and the Caribbean; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · Copernicus Sentinel-2 L2A · NASA HLS S30Sources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026

03Console

Humanitarian needs overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Humanitarian needs overview: the screen's structure, terms and states for Poverty and inequality.Placeholder names and illustrative values; a design, not a record or a live system.
04The question

Poverty and inequality: how the risk develops.

Exposure, distribution and social protection. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Shocks push people below the line

Many households live just above a poverty line. Illness, job loss, a failed harvest or a price spike can push them below it, and recovery can take years.

Mechanism

Deprivations overlap

Poor households often lack several things at once: income, education, health, water and housing. Measuring only income misses these overlapping deprivations.

Mechanism

Disadvantage persists across generations

Poor nutrition, missed schooling and lack of assets in childhood reduce earnings later, passing disadvantage on.

Mechanism

Gaps follow group lines

Inequality often follows gender, ethnicity, disability, location and migration status, which averages hide unless data are disaggregated.

05Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Poverty lineA threshold of income or consumption below which a person is counted as poor.
Gini indexA measure of inequality ranging from zero, perfect equality, to one hundred, maximal inequality.
Multidimensional povertyPoverty measured through overlapping deprivations in health, education and living standards.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Population below the international poverty linepercent of populationper surveyHousehold surveys compiled in the Poverty and Inequality PlatformESTIMATED
Multidimensional poverty headcountpercent of populationper surveyGlobal MPIESTIMATED
Gini index of income or consumptionindexper surveyHousehold surveysESTIMATED
Income share of the bottom forty percentpercent of total incomeper surveyHousehold surveysESTIMATED
Social protection coveragepercent of population covered by at least one benefitper assessmentILO World Social Protection dataOFFICIAL
Poverty rates disaggregated by sex, age and disabilitypercent by groupper surveyHousehold surveysESTIMATED
07Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Poverty and inequality as a run graphDesign, not a record
Poverty and inequality: from needs assessment to accountable responseA joint needs assessment estimates people in need and severity; a response plan sets targets by sector; funding and delivery follow; monitoring and feedback from affected people adjust the response. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
World Bank Poverty and Inequality PlatformPoverty and inequality estimates from household surveysOpen, CC BY 4.0
UNDP and OPHI Global Multidimensional Poverty IndexOverlapping deprivations by country and regionPublic, terms per publisher
ILO World Social Protection dataCoverage of social protectionOpen, CC BY 4.0
World Inequality DatabaseIncome and wealth distribution seriesOpen, CC BY 4.0
DHS and MICS household surveysDeprivations in health, education and living conditionsFree with registration, survey terms
09Decisions

Who decides, and what the evidence serves.

Society and Human Development prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Ministries of social development and financeWhere and how to target poverty reductionProfiles; small-area maps
Social protection agenciesWho should be covered and how support should scale in shocksVulnerability analyses; coverage data
Statistics officesHow to improve poverty measurement and disaggregationData gap evidence

Outputs this topic produces

  • Poverty and inequality profiles disaggregated by group
  • Shock vulnerability analyses for households near the line
  • Small-area poverty maps with uncertainty
  • Evidence notes for social protection design
10Core questions

The questions experts ask.

  • Who is poor, by which measure, and how stable is their situation?
  • How are exposure and losses distributed across income, gender, age and location?
  • Do shocks push households into poverty traps from which they cannot recover?
  • Which social protection instruments reach people in time, and which leave gaps?
  • How does inequality affect a society's aggregate resilience?
11Mechanisms

Exposure, coping and traps.

Poverty is multidimensional: income, but also health, education, housing, water, sanitation and security. Poor households tend to be more exposed because land and housing in safe locations cost more, and more vulnerable because a given loss represents a larger share of what they own. When a shock hits, households cope by drawing on savings, borrowing, selling assets, migrating for work or reducing consumption. Some strategies are reversible; others, such as selling productive assets or withdrawing children from school, reduce future income.

Research on poverty dynamics identifies thresholds below which households cannot rebuild, creating traps. Inequality matters beyond individual hardship: unequal societies tend to invest less in shared protection, and the same aggregate shock produces larger human losses. Social protection, including cash transfers, public works, pensions and social insurance, reduces these effects, particularly when systems can scale up quickly after a shock.

Gender and life stage cut across income. Women, children and older people often face distinct risks within the same household, from unequal control of resources to care burdens that rise in crises, which is why analysis increasingly looks inside households rather than treating them as single units.

12Methods and data

Measurement and evaluation.

Surveys

Household data

Income, consumption and asset surveys measure poverty; they are infrequent and miss mobile and informal populations.

Spatial

Small-area estimation

Combining surveys, census and satellite data to map poverty; models can blur local differences.

Causal

Impact evaluation

Experimental and quasi-experimental methods test what social protection achieves; results may not transfer across contexts.

Limits: monetary poverty lines capture only part of deprivation, intra-household inequality is hard to observe, and data on the poorest are often the weakest.

13Methods

How it is studied, and what the methods cannot say.

15Questions

Questions and answers.

What is the international poverty line?
A threshold set by the World Bank in purchasing power parity terms, used to compare extreme poverty across countries. It is revised as price data are updated.
What is multidimensional poverty?
Poverty measured by overlapping deprivations in health, education and living standards, not only income, as in the Global Multidimensional Poverty Index.
Why disaggregate poverty data?
Because averages hide large differences by gender, age, disability, location and ethnicity, and policies need to reach the groups that are left behind.
Does the platform decide who is eligible for support?
No. Eligibility and targeting are decided by the authorities and organizations that run programmes.
Why is inequality a risk issue?
Because it concentrates exposure and limits shared protection, so the same shock causes greater and longer-lasting harm.
Are poverty maps published?
Only in reviewed outputs that state their methods, resolution and uncertainty and that protect individuals' privacy.
Society and Human Development

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