{"id":108,"date":"2026-10-17T11:04:35","date_gmt":"2026-10-17T11:04:35","guid":{"rendered":"https:\/\/therisk.global\/human-development\/?page_id=108"},"modified":"2026-10-17T11:04:35","modified_gmt":"2026-10-17T11:04:35","slug":"poverty-and-inequality","status":"publish","type":"page","link":"https:\/\/therisk.global\/human-development\/topics\/poverty-and-inequality\/","title":{"rendered":"Poverty and inequality"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/human-development\/topics\/poverty-and-inequality\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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\"><style>#nxe-ncmpqx93.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-ncmpqx93.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-ncmpqx93.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-ncmpqx93.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-ncmpqx93.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-ncmpqx93.nxe :where(ul,ol){padding-left:20px}#nxe-ncmpqx93.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-ncmpqx93.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-ncmpqx93.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-ncmpqx93.nxe svg{display:none}#nxe-ncmpqx93.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-ncmpqx93.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ncmpqx93.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"dossier\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P16 \u00b7 TOPIC \u00b7 poverty-and-inequality<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Society and Human Development<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Society and Human Development<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Poverty and inequality<\/h1><p class=\"nx-tagline\">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.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/human-development\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/human-development\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G-P16 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>People and exposure in Latin America\u2026<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Humanitarian needs overview, in\u2026<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Poverty and inequality: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">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.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">People and exposure in Latin America and the Caribbean.<\/h2><p class=\"nx-lede\">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.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"latin-america:social\" data-ml-src=\"social\" data-ml-plan=\"p-3434d59c\"><div class=\"nx-wm\" data-nx-water=\"ctx-social\" data-wm-domain=\"ctx-social\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-118,-56,-34,33\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"People and exposure, Latin America and the Caribbean: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"cover||||\" aria-pressed=\"false\">Land cover<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">People and exposure, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-short=\"Flood water\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"evi\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Vegetation (EVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Enhanced vegetation index, rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra EVI \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"evi\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>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.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 GDACS \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">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). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">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). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 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). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 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.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>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).<\/li><li>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.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/li><li>Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/topics\/poverty-and-inequality\/#map\" data-nxf-title=\"Society and Human Development live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Humanitarian needs overview, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-society-needs\" data-cx=\"society.needs\" data-variant=\"section\" aria-label=\"Humanitarian needs overview: illustrative console with placeholder names and values\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Humanitarian needs overview: the screen's structure, terms and states for Poverty and inequality.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Poverty and inequality: how the risk develops.<\/h2><p class=\"nx-lede\">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.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"4.5\" r=\"2.5\"\/><path d=\"m10.2 6.3-3.9 3.9\"\/><circle cx=\"4.5\" cy=\"12\" r=\"2.5\"\/><path d=\"M7 12h10\"\/><circle cx=\"19.5\" cy=\"12\" r=\"2.5\"\/><path d=\"m13.8 17.7 3.9-3.9\"\/><circle cx=\"12\" cy=\"19.5\" r=\"2.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Shocks push people below the line<\/h3><p class=\"nx-p nx-mt-1\">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.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Deprivations overlap<\/h3><p class=\"nx-p nx-mt-1\">Poor households often lack several things at once: income, education, health, water and housing. Measuring only income misses these overlapping deprivations.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Disadvantage persists across generations<\/h3><p class=\"nx-p nx-mt-1\">Poor nutrition, missed schooling and lack of assets in childhood reduce earnings later, passing disadvantage on.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Gaps follow group lines<\/h3><p class=\"nx-p nx-mt-1\">Inequality often follows gender, ethnicity, disability, location and migration status, which averages hide unless data are disaggregated.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Poverty line<\/td><td data-label=\"Definition\">A threshold of income or consumption below which a person is counted as poor.<\/td><\/tr><tr><td data-label=\"Term\">Gini index<\/td><td data-label=\"Definition\">A measure of inequality ranging from zero, perfect equality, to one hundred, maximal inequality.<\/td><\/tr><tr><td data-label=\"Term\">Multidimensional poverty<\/td><td data-label=\"Definition\">Poverty measured through overlapping deprivations in health, education and living standards.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">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.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Population below the international poverty line<\/td><td data-label=\"Unit\">percent of population<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Household surveys compiled in the Poverty and Inequality Platform<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Multidimensional poverty headcount<\/td><td data-label=\"Unit\">percent of population<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Global MPI<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Gini index of income or consumption<\/td><td data-label=\"Unit\">index<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Household surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Income share of the bottom forty percent<\/td><td data-label=\"Unit\">percent of total income<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Household surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Social protection coverage<\/td><td data-label=\"Unit\">percent of population covered by at least one benefit<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">ILO World Social Protection data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Poverty rates disaggregated by sex, age and disability<\/td><td data-label=\"Unit\">percent by group<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Household surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/topics\/poverty-and-inequality\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">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.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Poverty and inequality as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p16-topics-poverty-and-inequality-human-t nx-dag-g-p16-topics-poverty-and-inequality-human-d\" 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7SIuFqzpmrfhGtp6BIB3qp7zMMvSKtvBwamhGLLLnyf1699El2KSx0k+stKnhNfsVT5wdI9gxzkPdXf60q2Cn+UdkYdhL+Tnk6vbm+sW6HGyWvPzYHPsoVGNQq5SxSN1DNzt6boSOoU9B\/325hXs6broCH7Tn9efDAEdn7yrUKN+Az7+6fxsPDkdt8Bmj\/GMJVPWBTcyGvTx9c35hxNOJ7\/\/BpaseEhnORAnWV3HnfQb99vJxeXpj23jvk4W6fRzp3EnRuPezAz\/Dw==\"><title id=\"nx-dag-g-p16-topics-poverty-and-inequality-human-t\">Poverty and inequality: from needs assessment to accountable response<\/title><desc id=\"nx-dag-g-p16-topics-poverty-and-inequality-human-d\">A 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.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes 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.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">World Bank Poverty and Inequality Platform<\/td><td data-label=\"What it gives\">Poverty and inequality estimates from household surveys<\/td><td data-label=\"Licence class\">Open, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">UNDP and OPHI Global Multidimensional Poverty Index<\/td><td data-label=\"What it gives\">Overlapping deprivations by country and region<\/td><td data-label=\"Licence class\">Public, terms per publisher<\/td><\/tr><tr><td data-label=\"Source\">ILO World Social Protection data<\/td><td data-label=\"What it gives\">Coverage of social protection<\/td><td data-label=\"Licence class\">Open, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">World Inequality Database<\/td><td data-label=\"What it gives\">Income and wealth distribution series<\/td><td data-label=\"Licence class\">Open, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">DHS and MICS household surveys<\/td><td data-label=\"What it gives\">Deprivations in health, education and living conditions<\/td><td data-label=\"Licence class\">Free with registration, survey terms<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/topics\/poverty-and-inequality\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Society and Human Development prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Ministries of social development and finance<\/td><td data-label=\"The question\">Where and how to target poverty reduction<\/td><td data-label=\"Evidence this page serves\">Profiles; small-area maps<\/td><\/tr><tr><td data-label=\"Who decides\">Social protection agencies<\/td><td data-label=\"The question\">Who should be covered and how support should scale in shocks<\/td><td data-label=\"Evidence this page serves\">Vulnerability analyses; coverage data<\/td><\/tr><tr><td data-label=\"Who decides\">Statistics offices<\/td><td data-label=\"The question\">How to improve poverty measurement and disaggregation<\/td><td data-label=\"Evidence this page serves\">Data gap evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Poverty and inequality profiles disaggregated by group<\/li><li>Shock vulnerability analyses for households near the line<\/li><li>Small-area poverty maps with uncertainty<\/li><li>Evidence notes for social protection design<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">The questions experts ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Who is poor, by which measure, and how stable is their situation?<\/li><li>How are exposure and losses distributed across income, gender, age and location?<\/li><li>Do shocks push households into poverty traps from which they cannot recover?<\/li><li>Which social protection instruments reach people in time, and which leave gaps?<\/li><li>How does inequality affect a society's aggregate resilience?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Exposure, coping and traps.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">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.<\/p><p class=\"nx-p\">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.<\/p><p class=\"nx-p\">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.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Measurement and evaluation.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect width=\"8\" height=\"4\" x=\"8\" y=\"2\" rx=\"1\" ry=\"1\"\/><path d=\"M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2\"\/><path d=\"m9 14 2 2 4-4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Surveys<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Household data<\/h3><p class=\"nx-p nx-mt-1\">Income, consumption and asset surveys measure poverty; they are infrequent and miss mobile and informal populations.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z\"\/><path d=\"M15 5.76v15\"\/><path d=\"M9 3.24v15\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Spatial<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Small-area estimation<\/h3><p class=\"nx-p nx-mt-1\">Combining surveys, census and satellite data to map poverty; models can blur local differences.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Causal<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Impact evaluation<\/h3><p class=\"nx-p nx-mt-1\">Experimental and quasi-experimental methods test what social protection achieves; results may not transfer across contexts.<\/p><\/div><\/div><p class=\"nx-note nx-mt-3\">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.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/human-development\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Survey design for hard-to-reach groups \u00b7 Qualitative and participatory research<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/social-science\/\" aria-label=\"Social and behavioural science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/human-development\/stem\/econometrics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Econometrics<\/span><span class=\"nx-mledger-role\">Poverty dynamics with panel data \u00b7 Price shock incidence \u00b7 Inequality decomposition<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/econometrics\/\" aria-label=\"Econometrics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/human-development\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Spatial statistics and geostatistics<\/span><span class=\"nx-mledger-role\">Small-area poverty estimation \u00b7 Vulnerability and hazard overlay<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/spatial-statistics\/\" aria-label=\"Spatial statistics and geostatistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/human-development\/stem\/causal-inference\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Causal inference and impact evaluation<\/span><span class=\"nx-mledger-role\">Evaluating cash transfers \u00b7 Effects of disasters on households \u00b7 Education programme evaluation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\" aria-label=\"Causal inference and impact evaluation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Poverty estimates rely on household surveys taken years apart, which miss rapid changes and people outside households, such as the homeless and displaced. Poverty lines are conventions. Disaggregated data are often unavailable or unreliable for small groups. Small-area maps carry model uncertainty. Society and Human Development sets no policy; governments decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskforum.com\/policy\/topics\/development-policy\/\" target=\"_blank\" rel=\"noopener\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Related topic<\/span><span class=\"nx-dest-host\">GRF<\/span><\/span><span class=\"nx-dest-title\">Development policy<\/span><span class=\"nx-dest-why\">Social risk evidence can inform inclusive development-policy learning.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-16-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-16\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">15<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-16\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is the international poverty line?<\/summary><div class=\"nx-answer\">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.<\/div><\/details><details><summary>What is multidimensional poverty?<\/summary><div class=\"nx-answer\">Poverty measured by overlapping deprivations in health, education and living standards, not only income, as in the Global Multidimensional Poverty Index.<\/div><\/details><details><summary>Why disaggregate poverty data?<\/summary><div class=\"nx-answer\">Because averages hide large differences by gender, age, disability, location and ethnicity, and policies need to reach the groups that are left behind.<\/div><\/details><details><summary>Does the platform decide who is eligible for support?<\/summary><div class=\"nx-answer\">No. Eligibility and targeting are decided by the authorities and organizations that run programmes.<\/div><\/details><details><summary>Why is inequality a risk issue?<\/summary><div class=\"nx-answer\">Because it concentrates exposure and limits shared protection, so the same shock causes greater and longer-lasting harm.<\/div><\/details><details><summary>Are poverty maps published?<\/summary><div class=\"nx-answer\">Only in reviewed outputs that state their methods, resolution and uncertainty and that protect individuals' privacy.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-17\" class=\"nx-h3 nx-mt-2\">Around Society and Human Development.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/human-development\/topics\/demographic-transitions\/\">Demographic transitions <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/topics\/human-security-and-wellbeing\/\">Human security and wellbeing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/topics\/humanitarian-and-displacement\/\">Humanitarian and displacement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/topics\/education-and-capabilities\/\">Education and capabilities <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/topics\/technology-and-social-cohesion\/\">Technology and social cohesion <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/topics\/urban-social-vulnerability\/\">Urban social vulnerability <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/\">Society and Human Development home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/human-development\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 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An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Society%20and%20Human%20Development%3A%20Poverty%20and%20inequality\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/human-development\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/human-development\/topics\/poverty-and-inequality\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/human-development\/topics\/poverty-and-inequality\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is the international poverty line?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A threshold set by the World Bank in purchasing power parity terms, used to compare extreme poverty across countries. 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