G-P03 · TOPIC · community-and-local-preparedGCRI dossier · service level R0
GCRIDisaster Resilience and RecoveryIn development
Topic dossier · Disaster Resilience and Recovery

Community and local preparedness

In most disasters, neighbours, local organizations and local governments act first, long before outside help arrives. Their knowledge, networks and resources decide how many people are warned, rescued, sheltered and supported in the first hours and days. This page sets out how local preparedness works, how it can be supported without displacing local leadership, and what evidence serves local governments and community organizations.

01In brief

The short answer.

Community disaster preparedness is the knowledge, networks and resources of households, neighbourhoods and local organizations that let them act first when disaster strikes. Neighbours carry out most early rescue, and social ties carry help. Local governments hold the mandate to act but often lack the funds and staff.

02Geography

Hazards now in the Philippines.

For community and local preparedness, in GCRI's spatial-intelligence reading, the map opens on population density, true-colour imagery and flood water, framed on the Philippines; 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 community and local preparedness, in GCRI's spatial-intelligence reading, the map opens on population density, true-colour imagery and flood water, framed on the Philippines; 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 · Copernicus Sentinel-2 L2ASources 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
  • 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
  • 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
  • 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.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • 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
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026

03Console

Anticipatory action console, in outline.

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

Anticipatory action console

Community and local preparedness · Province C · Monsoon season

Readiness trigger reachedGCRI · Disaster Resilience and Recovery

Protocol

  1. Readinessforecast lead 10 d
  2. Activationlead 3 d
  3. Early actions72 h window
  4. Responseif event
  5. Learningreview

River forecast at trigger gauge

Pre-agreed actions

Cash to at-risk households72 h45Yes
Livestock evacuation48 h10Partial
Shelter kits72 h22Yes
Anticipatory action console: the screen's structure, terms and states for Community and local preparedness.Placeholder names and illustrative values; a design, not a record or a live system.
04The question

Community and local preparedness: how the risk develops.

Local governance and inclusion. 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

Neighbours are first responders

Search and rescue in the first hours is mostly carried out by people nearby. Their training, tools and knowledge of who needs help shape survival.

Mechanism

Social ties carry help

Networks of family, faith groups, associations and neighbours share information, shelter and resources. People who are isolated, new or excluded are reached last.

Mechanism

Local knowledge reads the hazard

Communities often recognise signs of floods, landslides or drought from experience and tradition. That knowledge complements formal warnings when both are respected.

Mechanism

Local resources are thin

Local governments and organizations hold the mandate to act but often lack funds, staff and authority. Flexible local funding and clear roles make their action faster.

05Key terms

Terms used on this page.

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

TermDefinition
Community-based disaster risk managementAn approach in which communities identify their risks and lead the action to reduce them.
LocalisationShifting humanitarian leadership, decision-making and funding toward local and national actors.
Local knowledgeUnderstanding of hazards and coping developed by communities through experience and tradition.
06Indicators

What is measured, and how well.

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

IndicatorUnitCadenceSource typeLabel
Communities with local disaster risk planspercent of communitiesannualLocal government recordsREPORTED
Trained community volunteerscount per thousand populationannualVolunteer registersREPORTED
Households with a preparedness planpercent of householdsper surveyHousehold surveysREPORTED
Local organizations in coordination mechanismscountannualCoordination recordsREPORTED
Humanitarian funding to local actorsshare of funding provided directly to local and national actorsannualFinancial trackingREPORTED
People with disabilities included in local planspercent of plans with specific measuresper reviewPlan reviewsESTIMATED
07Canvas

From sources to decisions.

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

Pipeline canvas · Community and local preparedness as a run graphDesign, not a record
Community and local preparedness: from damage assessment to recoveryDamage and losses are assessed by sector, recovery needs are costed with build-back-better standards, a recovery framework sets priorities and financing, and implementation is monitored with communities. Design of the process, not a record of a run.

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

08Sources

Where the evidence comes from.

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

SourceWhat it givesLicence class
UNDRR Disaster Resilience Scorecard for CitiesCity self-assessment against the ten essentialsPublic, UN terms of use
IFRC Road Map to Community Resilience and community resilience measurement dashboardApproach and tools for community resiliencePublic, IFRC terms (to check)
OCHA Financial Tracking ServiceHumanitarian funding flows by recipient typePublic, UN terms of use
Global Network of Civil Society Organisations for Disaster Reduction Views from the FrontlineCommunity perspectives on local risk and resiliencePublic, terms to check
National household and preparedness surveysHousehold preparedness and risk perceptionLicence per survey
09Decisions

Who decides, and what the evidence serves.

Disaster Resilience and Recovery 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
Local governmentsHow to plan, fund and coordinate local preparednessScorecard results; local plan reviews
Community and civil society organizationsWhere to focus training and outreachHousehold survey evidence; inclusion reviews
Donors and international agenciesHow to channel funding and authority to local actorsFunding flow analyses

Outputs this topic produces

  • Community preparedness assessment protocols
  • Inclusion reviews of local plans for disability, age and gender
  • Local funding flow analyses
  • Case studies of local leadership in response, prepared with participants
10Core questions

What experts ask.

Researchers on local preparedness ask who acts first and with what.

  • Who acts in the first hours and days, and with what knowledge, resources and authority?
  • How do social networks and local organizations affect evacuation, response and recovery?
  • Are older people, disabled people, women, children, migrants and minorities included in plans?
  • How do local governments with limited resources carry responsibilities assigned by national law?
  • How can local and traditional knowledge be combined with formal risk information?
11Mechanisms and drivers

Local capacity and the people left out.

Social ties are one of the strongest predictors of how people fare in disasters. People with networks receive warnings sooner, evacuate with help, find shelter and access recovery support. Isolated people, including many older and disabled people, face greater risk. Local organizations, from faith groups to traders' associations, often provide the first response and act as trusted channels when formal ones fail.

Local government is frequently assigned responsibility without matching resources. Where national systems treat communities as passive recipients, they can overlook local knowledge and weaken the capacities they depend on. Inclusion is a safety issue as well as a rights issue: plans that ignore the needs of particular groups fail those groups, and those failures often reveal gaps that affect everyone.

12Methods and data

How the evidence is built, and where it stops.

  1. 01

    Participatory risk assessment

    Communities mapping their own risks and capacities. Results depend on who participates.

  2. 02

    Social network and survey research

    Measuring ties and their role in response, with social and behavioural science. Networks are hard to measure consistently.

  3. 03

    Local capacity assessment

    Reviewing resources and mandates of local government. Formal mandates may not reflect actual capacity.

  4. 04

    Inclusion audits

    Checking plans against the needs of specific groups. Data disaggregated by disability or age is often missing.

13Methods

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

  1. Social and behavioural scienceWarning response surveys · Participatory risk assessment · Social vulnerability analysisApplied here
  2. Geospatial information systemsExposure mapping · Rapid damage assessment · Common operational dataApplied here
  3. Decision analysis under uncertaintyCost-benefit of risk reduction · Acting on forecasts · Recovery prioritisationApplied here
14Questions

Questions and answers.

What is community-based disaster risk management?
An approach in which communities identify their own risks and capacities and lead the planning and action to reduce them, with support from government and other organizations.
Why localise disaster response?
Because local actors are present before, during and after disasters, know the context and can act first. Supporting them directly can make response faster and more appropriate.
How can households prepare?
Official guidance from national and local authorities usually covers knowing local hazards and warnings, having a plan and emergency supplies, and checking on neighbours who may need help.
Why does inclusion matter for preparedness?
Because groups left out of plans face higher risk, and the gaps they reveal, in communication, transport or shelter, usually affect others too. Inclusive plans tend to be stronger plans.
Can local knowledge be trusted alongside scientific data?
Local knowledge often captures history and conditions that formal data misses. The best practice combines both, testing each against the other.
Does the platform work directly with communities?
It is designed to involve community practitioners in its working groups and research, on consent-based terms, as these open.
Disaster Resilience and Recovery

Bring your expertise to this field.

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.