G-P05 · TOPIC · informal-settlementsGCRI dossier · service level R0
GCRICities and Built EnvironmentIn development
Topic dossier · Cities and Built Environment

Informal settlements

Informal settlements are home to a large share of urban residents in many countries. They are built outside formal planning and titling, often on land others left because it floods, slides or lies beside hazards, and they frequently lack water, sanitation and drainage. This page sets out how informal settlements form and how risk concentrates in them, how they are mapped with residents, and what evidence serves the governments and community organizations that work to upgrade them.

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

Layers 3

Urban signals, 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 informal settlements, in GCRI's spatial-intelligence reading, the map opens on population density, true-colour imagery and night lights with relief in 3D, framed on India; 3 further NASA layers wait in the 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 · USGS · 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
  • 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.
  • Live: USGS Events are indicative, not official warnings.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (17 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
  • 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
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026

01In brief

The short answer.

Informal settlements are residential areas where residents lack secure tenure and homes often lack basic services and planning approval. They form on land others left, frequently hazardous, and services arrive late. Community organizations map and upgrade them, and upgrading works best when residents lead and their data are protected.

02Console

Asset register with hazard overlay, in outline.

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

Asset register with hazard overlay

Informal settlements · Riverside ward · Flood 1-in-100 overlay

12 public assets exposedGCRI · Cities and Built Environment

Hazard overlay

flood scenario on asset register

RiverFlood extentExposed asset

Exposed assets

H-01Clinic0.8
S-07School0.6
E-03Substation1.5
W-02Pump station0.7

Adaptation options

Raise substation E-031MediumService continuityDesign
Retention park upstream10HighHeat, recreationFeasibility
Flood-proof clinic H-011LowHealth accessFunded
Asset register with hazard overlay: the screen's structure, terms and states for Informal settlements.Placeholder names and illustrative values; a design, not a record or a live system.
03The question

Informal settlements: how the risk develops.

Service access, exposure 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

Settlement fills the gaps

When formal housing and land are unaffordable or unavailable, people build on land that is left over: riverbanks, slopes, railway edges and wetlands. Location brings hazard.

Mechanism

Services arrive late or not at all

Without recognised tenure, utilities and governments often do not extend water, sanitation, drainage or waste collection, which raises health and flood risk.

Mechanism

Construction is incremental

Homes are built and extended step by step with available materials and labour. Structures can be vulnerable to fire, earthquakes and storms, though many residents invest heavily in them.

Mechanism

Communities organise their own resilience

Savings groups, community federations and local leaders map settlements, negotiate with authorities and act in emergencies. Upgrading works best when residents lead.

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
SlumA household or area lacking one or more of improved water, sanitation, durable housing, sufficient space or secure tenure, in UN-Habitat usage.
Slum upgradingImproving informal settlements in place through tenure, services and housing improvements.
Community enumerationA survey of a settlement carried out by its own residents.
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
Urban population in slums or informal settlementspercent of urban populationper surveySDG indicator 11.1.1ESTIMATED
Households with basic water and sanitationpercent of householdsper surveyHousehold surveys and community enumerationsREPORTED
Informal settlements in hazard zonescount and areaper assessmentSettlement maps overlaid on hazard mapsESTIMATED
Settlements with community-led profilescountper assessmentCommunity enumeration recordsREPORTED
Evictionscount of households evictedannualMonitoring by civil society and authoritiesREPORTED
Households in upgrading programmescountannualProgramme recordsREPORTED
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 · Informal settlements as a run graphDesign, not a record
Informal settlements: asset register to adaptation optionsThe asset register is overlaid on hazard layers to find exposure; vulnerability classes turn exposure into expected damage; assets are ranked and adaptation options costed into the capital plan. 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-Habitat SDG 11.1.1 dataShare of urban population in slums, informal settlements or inadequate housingPublic, UN-Habitat terms (to check)
Slum Dwellers International Know Your City profilesCommunity-collected settlement profilesPublic summaries, terms to check
Google Open Buildings and Microsoft building footprintsBuilding outlines derived from imageryOpen, CC BY 4.0 and ODbL respectively
Demographic and Health Surveys and Multiple Indicator Cluster SurveysHousehold services and dwelling characteristicsFree with registration, survey terms
OpenStreetMap community mappingStreets, buildings and services mapped with residentsOpen, ODbL
08Decisions

Who decides, and what the evidence serves.

Cities and Built Environment 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
City governmentsWhich settlements to upgrade and how to secure tenureService gap and hazard analyses; community profiles
National housing and land ministriesHow to recognise tenure and fund upgradingSDG 11.1.1 evidence; programme results
Community federations and organizationsWhat to prioritise in negotiations with authoritiesCommunity-led profiles and maps

Outputs this topic produces

  • Settlement maps produced with residents and their consent
  • Hazard and service gap analyses for upgrading
  • Housing safety guidance suited to incremental construction
  • Case studies of community-led upgrading
09Core questions

What experts ask.

  1. 01

    What services do residents have?

    Access to water, sanitation, drainage, electricity, waste collection and transport, and its reliability and cost.

  2. 02

    Why are these settlements exposed?

    How land markets and exclusion push settlement onto floodplains, slopes and waste sites.

  3. 03

    What upgrading works?

    Evidence on in-situ upgrading, tenure security and relocation, and their effects on residents.

  4. 04

    How are residents counted?

    How settlements are mapped and enumerated, and who controls that data.

10Mechanisms

What drives the risk.

Informality is a response to unaffordable formal housing and slow land administration. People build where they can, and services follow late or not at all. Lack of tenure security discourages investment in safer construction.

Exposure is compounded. Poor drainage turns rainfall into flooding; dense construction with combustible materials spreads fire; lack of sanitation spreads disease. Residents often pay more per unit of water or power through informal providers.

Eviction and relocation carry their own risks. Moving people away from livelihoods and social networks can increase vulnerability even when the new site is less exposed.

Strengths are often overlooked. Dense social networks, savings groups and local builders are resources for preparedness and recovery, and upgrading that works with them tends to last longer than programmes designed from outside.

11Methods and limits

How evidence is gathered, and where it stops.

Method or dataWhat it showsIts limit
Community enumerationHouseholds, tenure and services, gathered by residentsRequires trust, consent and time
High-resolution imagerySettlement extent and densityCannot show tenure, services or people
Household surveysService access and costUnder-sampling of unregistered households
Participatory risk mappingLocal hazard knowledgeData protection is essential
13Questions

Questions and answers.

What is an informal settlement?
A residential area where inhabitants lack security of tenure and the housing often lacks basic services and does not comply with planning and building regulations, in UN-Habitat usage.
What is slum upgrading?
Improving existing informal settlements in place, through tenure security, water, sanitation, drainage, roads and housing improvements, ideally led with residents.
Why involve residents in mapping?
Because residents know their settlements best, community data support their negotiations with authorities, and consent protects them from misuse of the information.
Does mapping informal settlements put residents at risk?
It can, if data is used for eviction. Research follows consent and data-protection protocols, and residents decide what is shared.
Is relocation recommended for exposed settlements?
The platform makes no recommendation for any settlement. It publishes evidence on the outcomes of upgrading and relocation.
Why call it informal rather than illegal?
Because informality describes a relationship with planning and tenure systems, often caused by them, not the character of residents.
Cities and Built Environment

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.