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Topic dossier · Policy Nexus

Disaster risk reduction policy

Disaster losses are shaped long before the hazard arrives: by where people are allowed to build, how infrastructure is designed, what is spent on prevention and who is responsible for acting. Disaster risk reduction policy is the body of law, strategy, mandate and budget that governs those choices. This page sets out how disaster risk accumulates through governance, how national and local strategies are measured under the Sendai Framework, and which institutions decide.

01In brief

The short answer.

Disaster risk reduction policy is the body of law, strategy, mandate and budget that governs choices shaping disaster losses long before a hazard arrives: where people may build, how infrastructure is designed, what is spent on prevention and who must act. The Sendai Framework sets the global targets countries report against.

02Geography

Hazards now in Africa.

For disaster risk reduction policy, in GRF's situational-awareness reading, the map opens on population density, flood water and night lights with clouds now from NASA GIBS, framed on Africa; 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 3

Hazards now, 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 disaster risk reduction policy, in GRF's situational-awareness reading, the map opens on population density, flood water and night lights with clouds now from NASA GIBS, framed on Africa; 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 · NASA EONET · GDACS · NOAA GOES-East ABI GeoColorSources 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
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • 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: NASA EONET Events are indicative, not official warnings.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Live: NOAA GOES-East ABI GeoColor (CIRA). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • 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
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

03The question

Disaster risk reduction policy: how the risk develops.

Prevention and national strategies. 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

Risk is created by decisions

Land-use permits, building codes and infrastructure siting decide exposure for decades. When development approval is separated from hazard information, each permit adds a little risk that no single decision appears to own.

Mechanism

Response crowds out prevention

Emergency response is visible and funded after each event; prevention competes with every other budget line. Repeated reconstruction rebuilds the same vulnerability unless recovery is tied to risk reduction by rule.

Mechanism

Mandates without means

Laws assign duties to local governments that lack the staff, data or funds to carry them out. Responsibility is decentralised while capacity is not, and implementation fails at the level where exposure is decided.

Mechanism

Cascading and systemic losses

A hazard that disables power, transport or supply chains spreads losses far beyond its footprint. Sector-by-sector plans miss these dependencies unless a coordinating mandate requires them to be assessed together.

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
Sendai FrameworkThe UN framework for disaster risk reduction for the period to 2030, with seven global targets and four priorities for action.
National platform for DRRA nationally led multi-stakeholder mechanism that coordinates disaster risk reduction across sectors.
Residual riskThe disaster risk that remains after risk reduction measures, for which response and recovery capacity must be kept.
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
National disaster risk reduction strategy adopted and implemented in line with Sendaiscore (Sendai indicator E-1)annualSendai Framework Monitor, national self-reportDECLARED
Local governments with disaster risk reduction strategiespercent of local governments (Sendai indicator E-2)annualSendai Framework Monitor, national self-reportDECLARED
Legal and institutional mandate for disaster risk managementcategorical, by function and level of governmentperiodic reviewNational legislation and gazettesOFFICIAL
Public expenditure on disaster risk reductionshare of total budget, as taggedannualBudget tagging and public expenditure reviewsOFFICIAL
Multi-hazard early warning governancescore (Sendai target G indicators)annualSendai Framework Monitor, national self-reportDECLARED
Lack of coping capacity, institutional dimensionindex scoreannualINFORM Risk IndexESTIMATED
Recovery framework in place after a major disasteryes or no, with scopeper eventPost-disaster needs assessmentsREPORTED
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 · Disaster risk reduction policy as a run graphDesign, not a record
Disaster risk reduction policy: the policy cycleA problem reaches the agenda, options are formulated and appraised, consultation tests them, the mandate holder decides, implementation and monitoring follow, and evaluation feeds the next agenda. 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
Sendai Framework Monitor (UNDRR)National reporting on the global targets and indicators, including national and local strategiesPublic, UN terms of use
DesInventar SendaiNational disaster loss databases at sub-national resolutionFree and open, attribution
INFORM Risk Index (European Commission JRC)Composite risk index with a lack of coping capacity dimensionFree and open, attribution
UNDRR Global Assessment ReportPeriodic review of disaster risk and its governanceFree, UN terms
Post-disaster needs assessments (EU, UN and World Bank)Joint assessments of damage, loss and recovery needs, with governance findingsPublic reports, publisher terms
IFRC Disaster Law databaseCompiled national disaster risk management laws and legal reviewsFree with attribution, publisher terms
National legal gazettesDisaster management acts, regulations and mandates as enactedPublic sector information, national terms
08Decisions

Who decides, and what the evidence serves.

Policy 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
National legislaturesWhether disaster risk management law assigns clear duties, powers and funding across levels of governmentComparative review of disaster laws; gaps between assigned duties and resourced functions
National disaster management authoritiesHow to structure the national strategy and the national platform that coordinates itStrategy elements compared with Sendai priorities; self-reported progress with its declared label
Ministries of finance and planningHow much to allocate to prevention, and how to tag and track itBudget tagging approaches; evaluations of prevention programmes with their identification strategy
Local governmentsWhich land-use, building and preparedness measures to adopt and enforceLocal strategy coverage; comparative cases of enforcement and the institutional conditions behind them

Outputs this topic produces

  • Policy primer on the legal and institutional elements of a national disaster risk reduction strategy
  • Comparative brief on how mandates and budgets are shared between national and local governments
  • Review of prevention spending tagging methods and what each can and cannot show
  • Dialogue records from exchanges with national platforms for disaster risk reduction
09Core questions

What experts ask.

Policy researchers in disaster risk reduction focus on governance and implementation.

  • How are responsibilities for disaster risk divided between national agencies, sector ministries and local government?
  • Do national strategies change investment, planning and building decisions, or remain separate from them?
  • How are local governments resourced to carry out their disaster risk responsibilities?
  • How is progress measured, and do indicators capture risk reduction or only activity?
  • How are the most exposed and vulnerable groups represented in disaster risk governance?
10Mechanisms and drivers

From strategy on paper to reduced risk.

Many countries have adopted disaster risk reduction laws, strategies and coordination platforms, often following international frameworks. The persistent challenge is the gap between these arrangements and the decisions that create risk: urban expansion into hazardous areas, weak enforcement of building standards, infrastructure that ignores hazards, and recovery that rebuilds exposure. Disaster agencies frequently have convening roles but limited influence over ministries that control those decisions.

Effective governance tends to combine high-level ownership, legal duties for sector ministries and local government, dedicated funding, accessible risk information and accountability for results. Monitoring that counts plans adopted rather than risk reduced can create an appearance of progress without change.

11Methods and data

How the evidence is built, and where it stops.

  1. 01

    Governance analysis

    Comparing laws, mandates and coordination platforms with policy and institutional science. Practice may diverge from formal arrangements.

  2. 02

    Indicator review

    Assessing what monitoring frameworks measure. Many indicators track inputs rather than outcomes.

  3. 03

    Impact evaluation

    Estimating effects of policies with causal inference. Disasters are rare and variable, which limits attribution.

  4. 04

    Practitioner dialogue

    Structured exchange between officials through policy dialogues. Dialogue evidence is experiential and needs triangulation.

12Methods

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

  1. Policy, institutional and decision scienceMandate mapping for a cross-sector risk · Review of regulatory impact assessmentsApplied here
  2. Decision analysis under uncertaintyOption appraisal for a policy instrument · Adaptive pathways for public planningApplied here
  3. Causal inference and impact evaluationStaggered adoption of a reform · Eligibility thresholds in programmesApplied here
  4. Game theory and mechanism designStability of a transboundary agreement · Design of a regional risk poolApplied here
13Questions

Questions and answers.

What is a national platform for disaster risk reduction?
A coordinating mechanism, recognised by government, that brings ministries, local authorities, science, civil society and the private sector together to guide the national strategy. Its mandate and convening authority vary by country.
Why are Sendai indicators labelled declared?
Countries report them through the Sendai Framework Monitor without independent verification. They show what governments state about their strategies, which is useful, but it is not the same as observed implementation.
Can the effect of prevention be measured?
Only indirectly. Evaluations compare similar places or periods with and without a measure, and every comparison rests on assumptions. Any estimate cited here is reported with its design and those assumptions.
Does Policy Nexus issue warnings?
No. Warnings, evacuations and emergency declarations are issued by competent national and local authorities under their own law.
Why do national strategies often fail to reduce risk?
Because the decisions that create risk, such as land use, construction and investment, are often outside the control of the agencies that own the strategy. Strategies work when they change those decisions.
Does Policy Nexus help countries write strategies?
It provides comparison and dialogue. Any technical assistance would be scoped separately under written terms and does not include drafting on behalf of a government without its mandate.
How does this connect to disaster finance?
How countries pay for disasters shapes their incentives to prevent them. That financial dimension is examined at GRA, for example in Disaster Risk Finance.
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