KIMBO FUND
data

Luanda 2024 Census Atlas White Paper

The official census becomes an operating map for place-safe intake design, municipality triage and future pilot records.

White paper status

Pre-launch research, not an operating claim.

This page is part of the Kimbo Fund white-paper layer: source-backed research, category design, proposed evidence standards and pilot templates. No campaign is presented as active; no money movement, field delivery, receipt upload, or beneficiary outcome is asserted.

Current status

White paper

Research, design thesis, benchmark synthesis and proposed operating rules.

Execution claim

None yet

No operational campaign, payout, receipt upload, field delivery or completed intervention is asserted on this page.

Next proof step

Pilot evidence

Any future project must publish source scope, steward review, budget basis, milestone rule, receipt trail and privacy boundary.

Use

Design reference

Readers should treat this page as research infrastructure for a proposed Bairro funding system.

Status map

Research before field claims.

Data atlas

Luanda 2024 census atlas for community funding.

The official census turns Luanda from a vague city narrative into a concrete operating map: population, density, households, water source, electricity, sanitation and school attendance.

8.67M

Luanda population, 2024 census
Luanda is large enough to need a municipality-by-municipality evidence spine. INE Angola 2024 Census, Luanda Definitive Results

857

Luanda bairros/aldeias counted by the census
The public provincial report supports municipality and aggregate bairro counts, not a full verified bairro-by-bairro needs table. INE Angola 2024 Census, Luanda Definitive Results

5,258/km2

Luanda population density
Density makes water, sanitation, electricity and school logistics operationally urgent. INE Angola 2024 Census, Luanda Definitive Results

63.5%

Luanda households with appropriate drinking-water source
A household-level constraint that should shape proposed water-container, standpost and delivery-record recipes. INE Angola 2024 Census, Luanda Definitive Results

33.2%

Luanda households using tanker or cupapata water
The water market already has informal logistics; the proposed model should make delivery records and receipts visible. INE Angola 2024 Census, Luanda Definitive Results

443,011

Luanda residents age 5-18 outside school
School-kit and learning pilot templates must be itemized and child-safe. INE Angola 2024 Census, Luanda Definitive Results

Evidence visual

Luanda 2024 census atlas for community funding.

The official census turns Luanda from a vague city narrative into a concrete operating map: population, density, households, water source, electricity, sanitation and school attendance.

Translation

What the evidence changes in the proposed product.

These pages make the site denser without turning the brand into unsupported execution claims.

Operating map

Municipality is the first triage unit.

Future pilot intake should capture municipality, bairro or landmark, source confidence and privacy boundary before any public record is created.

Service map

Water, school and electricity fields belong in every intake form.

The census indicators show which service questions should become default fields rather than ad hoc follow-up questions.

Density map

Dense municipalities need faster category templates.

A high-density context makes WASH, transport, public lighting, clinic access, sports and school-support pilot templates easier to prioritize.

No fake precision

The public atlas should show confidence level.

Where the source is municipal, the claim should stay municipal. Where the source is a dated case study, the year and case scope should appear beside the claim.

White-paper implications

  • Add municipality to every future pilot object.
  • Publish source scope beside each place metric.
  • Use census fields to decide which future needs categories deserve templates.
  • Treat the atlas as a white-paper intake index, not a static poverty map.
Luanda municipality spine

Sixteen official municipalities before any bairro-level claim.

The 2024 census gives the first safe operating map. Kimbo should add bairro-level records only when a source, steward or campaign record supports the claim.

1,120,781 people

Kilamba Kiaxi

Largest municipality by population; high-priority for future school, water and youth-service intake design.

882,014 people

Mulenvos

Large peripheral population; needs source-safe bairro mapping before claims are made.

875,071 people

Cacuaco

Major northern municipality with historic settlement and service-gap evidence in the literature.

865,863 people

Viana

Large growth corridor; relevant for transport, water, market tools and youth campaigns.

823,025 people

Cazenga

Dense urban municipality; relevant for service pressure, health logistics and school-support templates.

727,681 people

Maianga

Central municipality; needs neighborhood-level proof rather than broad city generalization.

667,094 people

Camama

Large municipality where pilot categories must distinguish household, school and public-space needs.

642,050 people

Hoji ya Henda

Major municipality in the new Luanda structure; use census language until deeper bairro records are sourced.

493,593 people

Kilamba

Planned-urban context; do not treat all Luanda municipalities as informal-settlement equivalents.

381,861 people

Belas

Lower density in provincial table; relevant for edge-service and transport campaigns.

364,986 people

Samba

Coastal and urban service context; requires location-safe intake records.

292,919 people

Talatona

Mixed high-income and service-gap geography; avoid simplistic poverty labels.

190,569 people

Rangel

Very high density reported by INE; relevant for WASH and public-space needs.

177,808 people

Sambizanga

Highest density in the INE provincial report; historic Musseque evidence must be dated and sourced.

144,911 people

Ingombota

Administrative center; useful for contact and institutional geography, not a poverty shortcut.

15,283 people

Mussulo

Smallest municipality by population; coastal/island service logic differs from dense inland bairros.

Fortress map

Continue through the Angola evidence layer.

The new research layer is intentionally dense: national evidence, Luanda geography, service dashboards and category-specific solution templates.