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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nmc8zpjc.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=\"dag\" 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>R04 \u00b7 TOPIC \u00b7 demographic-and-social-futur<\/strong>GRF 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\">GRF<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Foresight Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Foresight Nexus<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Demographic and social futures<\/h1><p class=\"nx-tagline\">Population ageing, migration, urbanisation, changing households and shifts in trust and social cohesion are the slow variables of the future. Some are largely set by people already born; others, such as migration and trust, can turn quickly. This page sets out how demographic projections and social measures are used in foresight, how institutions misread slow change until it becomes urgent, and which ministries and parliaments hold the decisions.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-canvas\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Systems<\/strong> \u00b7 around this subject<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-foresight-scan\" data-cx=\"foresight.scan\" data-variant=\"section\" aria-label=\"Horizon scanning board: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h2 class=\"nx-fk-title\">Horizon scanning board<\/h2><p class=\"nx-fk-sub\">Demographic and social futures \u00b7 Horizon 2040 \u00b7 Round 5<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Sensemaking<\/span><span class=\"nx-cx-prod\">GRF \u00b7 Foresight Nexus<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Signals<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-foresight-scan-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-foresight-scan-t0\" aria-label=\"Signals\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Signal<\/button><\/th><th scope=\"col\" data-col=\"c1\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Domain<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Novelty<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Impact<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Cluster<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-foresight-scan:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\" aria-current=\"true\" data-cur=\"true\"><td>Insurers exit high-risk postcodes<\/td><td>Finance<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>Protection retreat<\/td><\/tr><tr data-fk-key=\"cx-foresight-scan:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Cheap sensors in informal settlements<\/td><td>Technology<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td>Citizen data<\/td><\/tr><tr data-fk-key=\"cx-foresight-scan:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Heat limits outdoor work hours<\/td><td>Labour<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Medium<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>Heat economy<\/td><\/tr><tr data-fk-key=\"cx-foresight-scan:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Synthetic media in elections<\/td><td>Information<\/td><td><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Low<\/span><\/td><td><span class=\"nx-fk-pill\" data-state=\"not\"><i aria-hidden=\"true\"><\/i>High<\/span><\/td><td>Trust erosion<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Driver ranking<\/h4><p class=\"nx-fk-panel-sub\">impact vs uncertainty<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 324 138\" width=\"324\" height=\"138\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Driver ranking\" data-fk-chart=\"cx-foresight-scan-heat\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Scenario axes<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Axis 1<\/dt><dd>cooperation \u00b7 fragmentation<\/dd><\/div><div><dt>Axis 2<\/dt><dd>slow \u00b7 fast technological change<\/dd><\/div><div><dt>Scenarios<\/dt><dd>four narratives, not forecasts<\/dd><\/div><div><dt>Use<\/dt><dd>wind tunnel policies against each<\/dd><\/div><\/dl><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Horizon scanning board: the screen's structure, terms and states for Demographic and social futures.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Fig.<\/strong><span>Horizon scanning board. Design wireframe with placeholder names and illustrative values, not a record or a live system.<\/span><\/p><\/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 the Arctic<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Demographic and social futures: how\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" 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\">Demographic change is the shift in the size and structure of populations through births, deaths and migration, and with changing households, urbanisation and trust it forms the slow variables of the future. Ageing is largely set by people already born; migration and trust can turn quickly, so projections carry intervals and scenarios.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"risk\" 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 the Arctic.<\/h2><p class=\"nx-lede\">For demographic and social futures, in GRF's situational-awareness reading, the map opens on population density and flood water with relief in 3D and built-up and settlement extent from NASA GIBS, framed on the Arctic; 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=\"arctic:social\" data-ml-points=\"on\" data-ml-src=\"social\" data-ml-plan=\"p-927b3557\" data-ml-relief=\"1.3\"><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=\"-180,58,180,90\" 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, the Arctic: 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=\"flood,people||||\" aria-pressed=\"false\">People and floods<\/button><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=\"flood||||\" aria-pressed=\"false\">Floods this week<\/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=\"flood\" aria-pressed=\"true\" data-wm-z=\"21\" 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=\"ntl\" aria-pressed=\"false\" data-wm-z=\"22\" 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=\"fires\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"1\" data-wm-breaks=\"10,50,200\" data-wm-short=\"Fires and flares\" data-wm-prov=\"NASA LANCE FIRMS\" data-wm-kind=\"Satellite detection; clouds and overpass timing leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Active fires and thermal anomalies, last day<\/span><span class=\"nx-wm-layer-src\">NASA LANCE FIRMS VIIRS NOAA-20 375 m (FIRMS) \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"fires\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"lstd\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Land temperature, day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"imerg\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-short=\"Precipitation\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite estimate, near real time\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Precipitation rate, daily mean<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC GPM IMERG \u00b7 <span data-wm-date=\"imerg\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"imerg\" 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 demographic and social futures, in GRF's situational-awareness reading, the map opens on population density and flood water with relief in 3D and built-up and settlement extent from NASA GIBS, framed on the Arctic; 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 CIESIN\/Columbia, NASA SEDAC HBASE \u00b7 NASA EONET<\/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.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.lance.firms\">NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles 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.gpm.imerg\">GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); 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>Context: CIESIN\/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.<\/li><li>Live: NASA EONET Events are indicative, not official warnings.<\/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>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/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>Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS \u00b7 <span data-wm-date=\"fires\">13 Oct 2026<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Precipitation rate, daily mean: GPM IMERG, NASA GES DISC \u00b7 <span data-wm-date=\"imerg\">12 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:\/\/grf\/R04\/topics\/demographic-and-social-futures\/#map\" data-nxf-title=\"Foresight Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" 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\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Demographic and social futures: how the risk develops.<\/h2><p class=\"nx-lede\">Ageing, migration, trust and cohesion. 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\"><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\">Momentum and cohorts<\/h3><p class=\"nx-p nx-mt-1\">Today's age structure carries forward for decades: much of the next generation's working-age population is already born. Projections are most reliable for people alive now and least reliable for future births and migration.<\/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=\"6\" cy=\"19\" r=\"3\"\/><path d=\"M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15\"\/><circle cx=\"18\" cy=\"5\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Migration as the swing variable<\/h3><p class=\"nx-p nx-mt-1\">Migration responds to conflict, climate, labour demand and policy, and can change faster than fertility or mortality. It is often the largest source of uncertainty in national projections.<\/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 9a2 2 0 0 1-2 2H6l-4 4V4c0-1.1.9-2 2-2h8a2 2 0 0 1 2 2z\"\/><path d=\"M18 9h2a2 2 0 0 1 2 2v11l-4-4h-6a2 2 0 0 1-2-2v-1\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Trust and cohesion<\/h3><p class=\"nx-p nx-mt-1\">Trust in institutions and in other people shapes compliance, collective action and the capacity to absorb shocks. It tends to erode slowly and can collapse quickly after perceived unfairness or failure.<\/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\"><line x1=\"3\" x2=\"21\" y1=\"22\" y2=\"22\"\/><line x1=\"6\" x2=\"6\" y1=\"18\" y2=\"11\"\/><line x1=\"10\" x2=\"10\" y1=\"18\" y2=\"11\"\/><line x1=\"14\" x2=\"14\" y1=\"18\" y2=\"11\"\/><line x1=\"18\" x2=\"18\" y1=\"18\" y2=\"11\"\/><polygon points=\"12 2 20 7 4 7\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Slow change, late response<\/h3><p class=\"nx-p nx-mt-1\">Pensions, health systems, schools and housing are built for an age structure that shifts gradually. Institutions often respond only when pressure becomes acute, though the evidence was visible long before.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Old-age dependency ratio<\/td><td data-label=\"Definition\">The number of people aged sixty-five and over per hundred people of working age.<\/td><\/tr><tr><td data-label=\"Term\">Demographic momentum<\/td><td data-label=\"Definition\">Continued population growth or decline driven by the current age structure after fertility changes.<\/td><\/tr><tr><td data-label=\"Term\">Probabilistic projection<\/td><td data-label=\"Definition\">A population projection that gives a range with probabilities, as UN World Population Prospects does.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" 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\">Old-age dependency ratio<\/td><td data-label=\"Unit\">persons of pension age per hundred of working age<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Population projections<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Total fertility rate<\/td><td data-label=\"Unit\">births per woman<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Civil registration and surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Net migration<\/td><td data-label=\"Unit\">persons per year<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">National statistics and international estimates<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Forcibly displaced population<\/td><td data-label=\"Unit\">persons<\/td><td data-label=\"Cadence\">half-yearly<\/td><td data-label=\"Source type\">Refugee and displacement statistics<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Width of population projection intervals<\/td><td data-label=\"Unit\">persons<\/td><td data-label=\"Cadence\">per projection revision<\/td><td data-label=\"Source type\">Probabilistic projections<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Trust in national government<\/td><td data-label=\"Unit\">share of respondents<\/td><td data-label=\"Cadence\">per survey wave<\/td><td data-label=\"Source type\">Representative surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Interpersonal trust<\/td><td data-label=\"Unit\">share of respondents<\/td><td data-label=\"Cadence\">per survey wave<\/td><td data-label=\"Source type\">Values surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Young people not in employment, education or training<\/td><td data-label=\"Unit\">share of youth population<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Labour force surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/grf\/R04\/topics\/demographic-and-social-futures\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"risk\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" 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 Demographic and social futures 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-r04-topics-demographic-and-social-futures-t nx-dag-r04-topics-demographic-and-social-futures-d\" data-nx-z=\"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\"><title id=\"nx-dag-r04-topics-demographic-and-social-futures-t\">Demographic and social futures: from horizon scanning to wind-tunnelled policy<\/title><desc id=\"nx-dag-r04-topics-demographic-and-social-futures-d\">Signals from horizon scanning are clustered into drivers; the most uncertain and impactful define scenario axes; narratives are written; policies are wind-tunnelled against each scenario and signposts monitored. 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=\"systemic\" data-variant=\"stack\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-8\" 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\">UN World Population Prospects<\/td><td data-label=\"What it gives\">Population estimates and probabilistic projections by age and sex for every country<\/td><td data-label=\"Licence class\">CC BY 3.0 IGO<\/td><\/tr><tr><td data-label=\"Source\">Wittgenstein Centre Human Capital Data Explorer<\/td><td data-label=\"What it gives\">Population projections by age, sex and education under the shared socioeconomic pathways<\/td><td data-label=\"Licence class\">Free with attribution<\/td><\/tr><tr><td data-label=\"Source\">UNHCR Refugee Data Finder<\/td><td data-label=\"What it gives\">Statistics on forcibly displaced and stateless people<\/td><td data-label=\"Licence class\">CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">IOM Migration Data Portal<\/td><td data-label=\"What it gives\">Compiled migration statistics and evidence on migration drivers<\/td><td data-label=\"Licence class\">Free with attribution, IOM terms<\/td><\/tr><tr><td data-label=\"Source\">OECD Survey on Drivers of Trust in Public Institutions<\/td><td data-label=\"What it gives\">Comparable measures of trust and its drivers across member countries<\/td><td data-label=\"Licence class\">OECD terms, free with attribution<\/td><\/tr><tr><td data-label=\"Source\">World Values Survey<\/td><td data-label=\"What it gives\">Values, beliefs and interpersonal trust across waves and countries<\/td><td data-label=\"Licence class\">Free for non-commercial use with registration<\/td><\/tr><tr><td data-label=\"Source\">ILOSTAT<\/td><td data-label=\"What it gives\">Labour market statistics, including young people outside employment and education<\/td><td data-label=\"Licence class\">CC BY 4.0<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/grf\/R04\/topics\/demographic-and-social-futures\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"split\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Foresight Nexus 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\">Finance ministries and fiscal councils<\/td><td data-label=\"The question\">How ageing and migration scenarios affect long-term fiscal sustainability<\/td><td data-label=\"Evidence this page serves\">Projection intervals and variants, with the assumptions on fertility, mortality and migration stated<\/td><\/tr><tr><td data-label=\"Who decides\">Labour, social affairs and health ministries<\/td><td data-label=\"The question\">How pension, care and health systems should adapt to changing age structures<\/td><td data-label=\"Evidence this page serves\">Cohort projections, dependency measures and scenarios for care demand and workforce<\/td><\/tr><tr><td data-label=\"Who decides\">Interior and migration ministries<\/td><td data-label=\"The question\">Which migration scenarios to plan reception and integration capacity for<\/td><td data-label=\"Evidence this page serves\">Migration scenarios with drivers, ranges and the signposts that would show which is unfolding<\/td><\/tr><tr><td data-label=\"Who decides\">Parliaments and parliamentary committees for the future<\/td><td data-label=\"The question\">How to scrutinise demographic and social pressures that run beyond the electoral cycle<\/td><td data-label=\"Evidence this page serves\">Demographic outlooks, trust measures and the institutional choices they raise<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Demographic outlooks with projection intervals and scenario variants<\/li><li>Social cohesion signal reviews drawing on trust and survey evidence<\/li><li>Scenario learning protocols for ageing, migration and cohesion<\/li><li>Notes separating what is close to set from what depends on choices<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What practitioners ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>How will population ageing affect labour markets, public finances and care systems?<\/li><li>How could migration patterns change with climate, conflict and economic opportunity?<\/li><li>What drives trust in institutions, and how could it erode or recover?<\/li><li>How do inequality and polarization affect a society's capacity to manage shocks?<\/li><li>How do generational differences shape future values and priorities?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" data-variant=\"stack\" 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\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Drivers and dynamics.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Demographic change is among the more predictable long-term forces, because the people who will be adults in coming decades are already born. Many countries are ageing as fertility falls and life expectancy rises, while others have young and growing populations. These patterns shape labour supply, public spending, care needs and political priorities. Migration links regions with different demographic profiles and is influenced by economic, environmental and political conditions.<\/p><p class=\"nx-p\">Social trends are less predictable. Trust in institutions, social cohesion and polarization can shift quickly in response to crises, information environments and perceptions of fairness. Societies with high trust and cohesion tend to manage collective crises more effectively, so these factors are central to resilience. Changes in information environments, including the spread of misinformation, are an active area of research.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"stack\" 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\">Methods and limits<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How it is approached.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Demographic projection<\/h3><p class=\"nx-p nx-mt-1\">Cohort-based projections, drawing on <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/forecasting\/\">forecasting and time-series analysis<\/a>, estimate future population structures under stated assumptions.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Social surveys<\/h3><p class=\"nx-p nx-mt-1\">Long-running surveys track values, trust and attitudes over time.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Participatory foresight<\/h3><p class=\"nx-p nx-mt-1\">Engaging citizens and communities to explore social futures from their perspectives.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Limits<\/h3><p class=\"nx-p nx-mt-1\">Projections depend on assumptions about fertility, mortality and migration; social trends can reverse, and survey data may not capture marginalized groups.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"risk\" data-tone=\"alt\" 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<\/span><\/div><h2 id=\"nx-s-13\" 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:\/\/globalriskforum.com\/foresight\/stem\/forecasting\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Forecasting and time-series analysis<\/span><span class=\"nx-mledger-role\">Aggregated judgemental forecasting \u00b7 Probabilistic population projections<\/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\/forecasting\/\" aria-label=\"Forecasting and time-series analysis: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/scenario-stress\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Scenario design and stress testing<\/span><span class=\"nx-mledger-role\">Exploratory scenario development \u00b7 Policy wind-tunnelling<\/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\/scenario-stress\/\" aria-label=\"Scenario design and stress testing: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/complex-systems\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Complex systems and agent-based modelling<\/span><span class=\"nx-mledger-role\">Systems mapping of drivers \u00b7 Agent-based exploration of social change<\/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\/complex-systems\/\" aria-label=\"Complex systems and agent-based modelling: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskforum.com\/foresight\/stem\/decision-analysis\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Decision analysis under uncertainty<\/span><span class=\"nx-mledger-role\">Robust decision making \u00b7 Dynamic adaptive policy pathways \u00b7 Structured expert elicitation<\/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\/decision-analysis\/\" aria-label=\"Decision analysis under uncertainty: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">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\">Projections of people already born are robust; projections of births, old-age mortality and migration are not, and migration can change abruptly. Survey measures of trust depend on question wording, sampling and timing, and comparisons across countries carry those differences. Social cohesion has no single agreed measure. Foresight Nexus documents evidence and methods; policy on pensions, migration and cohesion belongs to governments and parliaments.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"systemic\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Why are population projections more reliable than most forecasts?<\/summary><div class=\"nx-answer\">Because much of the future population is already alive and ages predictably. The uncertainty concentrates in future births, old-age mortality and especially migration, which probabilistic projections show as widening intervals.<\/div><\/details><details><summary>Can trust be forecast?<\/summary><div class=\"nx-answer\">Not reliably. Trust measures show levels and trends, and foresight explores what could erode or rebuild them. Sudden shifts often follow events that scenarios can anticipate in kind but not in timing.<\/div><\/details><details><summary>Why use scenarios when demographic projections exist?<\/summary><div class=\"nx-answer\">Projections extend assumptions; scenarios question them. Combining the two lets institutions see what is close to set and what depends on choices about migration, family policy and longevity.<\/div><\/details><details><summary>Are demographic projections forecasts?<\/summary><div class=\"nx-answer\">They are projections under stated assumptions. They are more reliable than many long-term estimates, but still depend on those assumptions.<\/div><\/details><details><summary>Why does trust matter for resilience?<\/summary><div class=\"nx-answer\">Because collective responses to crises depend on people's willingness to follow guidance and cooperate.<\/div><\/details><details><summary>Does Foresight Nexus make migration policy?<\/summary><div class=\"nx-answer\">No. It convenes dialogue. Policy is decided by competent authorities.<\/div><\/details><details><summary>Who reviews coverage of this topic?<\/summary><div class=\"nx-answer\">Published analysis is designed to be reviewed by a named subject reviewer, to cite its references and to include independent specialist voices. Where specialists disagree, the disagreement is reported rather than resolved by omission.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Foresight Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskforum.com\/foresight\/topics\/horizon-scanning\/\">Horizon scanning <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:\/\/globalriskforum.com\/foresight\/topics\/strategic-scenarios\/\">Strategic scenarios <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:\/\/globalriskforum.com\/foresight\/topics\/deep-uncertainty\/\">Deep uncertainty <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:\/\/globalriskforum.com\/foresight\/topics\/technology-futures\/\">Technology futures <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:\/\/globalriskforum.com\/foresight\/topics\/geopolitical-futures\/\">Geopolitical futures <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:\/\/globalriskforum.com\/foresight\/topics\/future-generations\/\">Future generations <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:\/\/globalriskforum.com\/foresight\/\">Foresight Nexus 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:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/\">The Global Risks Forum 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:\/\/globalriskforum.com\/trust\/\">GRF 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 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Foresight Nexus<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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@globalriskforum.com?subject=Foresight%20Nexus%3A%20Demographic%20and%20social%20futures\">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:\/\/globalriskforum.com\/foresight\/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:\/\/globalriskforum.com\/foresight\/topics\/demographic-and-social-futures\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskforum.com\/foresight\/topics\/demographic-and-social-futures\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Why are population projections more reliable than most forecasts?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because much of the future population is already alive and ages predictably. 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