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Topic dossier · Foresight Nexus

Demographic and social futures

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.

Systems · around this subjectDesign, not a record

Horizon scanning board

Demographic and social futures · Horizon 2040 · Round 5

SensemakingGRF · Foresight Nexus

Signals

Insurers exit high-risk postcodesFinanceMediumHighProtection retreat
Cheap sensors in informal settlementsTechnologyHighMediumCitizen data
Heat limits outdoor work hoursLabourMediumHighHeat economy
Synthetic media in electionsInformationLowHighTrust erosion

Driver ranking

impact vs uncertainty

Scenario axes

Axis 1
cooperation · fragmentation
Axis 2
slow · fast technological change
Scenarios
four narratives, not forecasts
Use
wind tunnel policies against each
Horizon scanning board: the screen's structure, terms and states for Demographic and social futures.Placeholder names and illustrative values; a design, not a record or a live system.

Fig.Horizon scanning board. Design wireframe with placeholder names and illustrative values, not a record or a live system.

01In brief

The short answer.

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.

02Geography

People and exposure in the Arctic.

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.

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

Layers 2

People and exposure, for this page

Latest available

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

Loading the latest NASA imagery.

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

For 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.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · CIESIN/Columbia, NASA SEDAC HBASE · NASA EONETSources and licences

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

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026

03The question

Demographic and social futures: how the risk develops.

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.

Mechanism

Momentum and cohorts

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.

Mechanism

Migration as the swing variable

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.

Mechanism

Trust and cohesion

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.

Mechanism

Slow change, late response

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.

04Key terms

Terms used on this page.

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

TermDefinition
Old-age dependency ratioThe number of people aged sixty-five and over per hundred people of working age.
Demographic momentumContinued population growth or decline driven by the current age structure after fertility changes.
Probabilistic projectionA population projection that gives a range with probabilities, as UN World Population Prospects does.
05Indicators

What is measured, and how well.

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

IndicatorUnitCadenceSource typeLabel
Old-age dependency ratiopersons of pension age per hundred of working ageannualPopulation projectionsMODELLED
Total fertility ratebirths per womanannualCivil registration and surveysOFFICIAL
Net migrationpersons per yearannualNational statistics and international estimatesESTIMATED
Forcibly displaced populationpersonshalf-yearlyRefugee and displacement statisticsOFFICIAL
Width of population projection intervalspersonsper projection revisionProbabilistic projectionsMODELLED
Trust in national governmentshare of respondentsper survey waveRepresentative surveysREPORTED
Interpersonal trustshare of respondentsper survey waveValues surveysREPORTED
Young people not in employment, education or trainingshare of youth populationannualLabour force surveysOFFICIAL
06Canvas

From sources to decisions.

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

Pipeline canvas · Demographic and social futures as a run graphDesign, not a record
Demographic and social futures: from horizon scanning to wind-tunnelled policySignals 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.

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

07Sources

Where the evidence comes from.

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

SourceWhat it givesLicence class
UN World Population ProspectsPopulation estimates and probabilistic projections by age and sex for every countryCC BY 3.0 IGO
Wittgenstein Centre Human Capital Data ExplorerPopulation projections by age, sex and education under the shared socioeconomic pathwaysFree with attribution
UNHCR Refugee Data FinderStatistics on forcibly displaced and stateless peopleCC BY 4.0
IOM Migration Data PortalCompiled migration statistics and evidence on migration driversFree with attribution, IOM terms
OECD Survey on Drivers of Trust in Public InstitutionsComparable measures of trust and its drivers across member countriesOECD terms, free with attribution
World Values SurveyValues, beliefs and interpersonal trust across waves and countriesFree for non-commercial use with registration
ILOSTATLabour market statistics, including young people outside employment and educationCC BY 4.0
08Decisions

Who decides, and what the evidence serves.

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

Who decidesThe questionEvidence this page serves
Finance ministries and fiscal councilsHow ageing and migration scenarios affect long-term fiscal sustainabilityProjection intervals and variants, with the assumptions on fertility, mortality and migration stated
Labour, social affairs and health ministriesHow pension, care and health systems should adapt to changing age structuresCohort projections, dependency measures and scenarios for care demand and workforce
Interior and migration ministriesWhich migration scenarios to plan reception and integration capacity forMigration scenarios with drivers, ranges and the signposts that would show which is unfolding
Parliaments and parliamentary committees for the futureHow to scrutinise demographic and social pressures that run beyond the electoral cycleDemographic outlooks, trust measures and the institutional choices they raise

Outputs this topic produces

  • Demographic outlooks with projection intervals and scenario variants
  • Social cohesion signal reviews drawing on trust and survey evidence
  • Scenario learning protocols for ageing, migration and cohesion
  • Notes separating what is close to set from what depends on choices
09Core questions

What practitioners ask.

  • How will population ageing affect labour markets, public finances and care systems?
  • How could migration patterns change with climate, conflict and economic opportunity?
  • What drives trust in institutions, and how could it erode or recover?
  • How do inequality and polarization affect a society's capacity to manage shocks?
  • How do generational differences shape future values and priorities?
10Mechanisms

Drivers and dynamics.

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.

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.

11Methods and limits

How it is approached.

  1. 01

    Demographic projection

    Cohort-based projections, drawing on forecasting and time-series analysis, estimate future population structures under stated assumptions.

  2. 02

    Social surveys

    Long-running surveys track values, trust and attitudes over time.

  3. 03

    Participatory foresight

    Engaging citizens and communities to explore social futures from their perspectives.

  4. 04

    Limits

    Projections depend on assumptions about fertility, mortality and migration; social trends can reverse, and survey data may not capture marginalized groups.

12Methods

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

  1. Forecasting and time-series analysisAggregated judgemental forecasting · Probabilistic population projectionsApplied here
  2. Scenario design and stress testingExploratory scenario development · Policy wind-tunnellingApplied here
  3. Complex systems and agent-based modellingSystems mapping of drivers · Agent-based exploration of social changeApplied here
  4. Decision analysis under uncertaintyRobust decision making · Dynamic adaptive policy pathways · Structured expert elicitationApplied here
13Questions

Questions and answers.

Why are population projections more reliable than most forecasts?
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.
Can trust be forecast?
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.
Why use scenarios when demographic projections exist?
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.
Are demographic projections forecasts?
They are projections under stated assumptions. They are more reliable than many long-term estimates, but still depend on those assumptions.
Why does trust matter for resilience?
Because collective responses to crises depend on people's willingness to follow guidance and cooperate.
Does Foresight Nexus make migration policy?
No. It convenes dialogue. Policy is decided by competent authorities.
Who reviews coverage of this topic?
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.
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