diff --git a/.gitignore b/.gitignore
index 09b56eb0..91dcbd2a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -47,6 +47,8 @@ next-env.d.ts
 
 # IBGE geometry download cache (pnpm build:geometries)
 /data/geometries/
+# IBGE demographics download cache (pnpm build:demographics)
+/data/demographics/
 
 # Playwright
 node_modules/
diff --git a/docs/plans/escala-dry-pos-a8.md b/docs/plans/escala-dry-pos-a8.md
new file mode 100644
index 00000000..ce8b71b7
--- /dev/null
+++ b/docs/plans/escala-dry-pos-a8.md
@@ -0,0 +1,117 @@
+# Escala e DRY pós-A8 (perfil IBGE Eleitorado)
+
+Status: Fases 1–3 pendentes (engenharia A8 em implementação no branch)
+Atualizado em: 2026-07-20 (`capture-review-debts` pós-dois `/simplify` na entrega A8)
+Item do roadmap: [docs/roadmap.md](../roadmap.md) (Trilha A, fill-in **A8+** pós-A8)
+Impeccable: A — N/A (sem superfície UI; perf/integridade de dado)
+Appetite: ~0,5–1 dia eng (3 fases pequenas; PR único ou 2 PRs)
+Responsável: —
+
+## Contexto
+
+O A8 ([perfil-eleitorado-ibge.md](perfil-eleitorado-ibge.md)) entrega artefato estático `bahiaMunicipalityDemographics.ts`, derivação `getNucleusIbgeVoterProfile`, aba Eleitorado com dynamic import de `NucleusElectorateTab`, e opt-in “Usar como perfil manual”. Duas passagens `/simplify` (pré e pós-rebase em `main` com A7 F2) já limparam o que cabia em cleanup: `safeMessages` + `router.refresh`, `NucleusVoterProfileCard`, helpers `voterProfileNullsToUndefined` / `normalizedVoterProfilesForWrite`, `resolveNucleusTerritoryCities` compartilhado com `nucleusElectionGeography`, JSDoc de zone rules restaurado, formatters `Intl` em cache.
+
+Os revisores (performance / reuse / quality) marcaram como **maiores que cleanup** os follow-ups abaixo. Sem registro, o cold start da aba Eleitorado e da server action de cópia continuam pagando parse do módulo ~68KB, e núcleos com município inválido na lista podem exibir perfil parcial sem aviso.
+
+**Já resolvido no simplify/critique (não reabrir):** form action com `updateNucleus` + `CampaignFormActionState`; lazy import da aba; DRY card manual + normalização de write; `toNucleusElectionGeographyInput` na leitura; `NucleusElectionGeographyInput` unificado com `NucleusTerritoryCitiesInput`; `export` removido de `AGE_BAND_CATEGORY_IDS` no script; testes unit/int A8 verdes.
+
+## Objetivos
+
+- Cold start da aba Eleitorado e da action de cópia não avaliam `bahiaMunicipalityDemographics.ts` até `getNucleusIbgeVoterProfile` ser chamado (padrão B5 F1 / lazy geometries).
+- Agregação IBGE **não mente por omissão**: quando `matchedCities < effectiveCities`, o produto falha fechado ou sinaliza cobertura parcial de forma explícita na UI — sem PII, sem migration.
+- Artefato demographics versionado ganha soft budget de bytes nos testes int (regressão de codegen), espelhando B2 geometries.
+- Guardrails: sem migration, sem collection, sem Consent, sem HTTP SIDRA em runtime; access inalterado (staff-only).
+
+## Decisões travadas
+
+- **Um fill-in A8+, três fases ordenadas.** Mesmo racional de A7/C6/B5: um slug de plano, PRs por fase. Ordem: lazy load (impacto cold start) → integridade de cobertura (produto) → size budget (higiene). **Rejeitado:** item de roadmap separado `A9` — follow-up pós-entrega, não feature nova.
+- **Dependência dura de A8.** Só faz sentido com `bahiaMunicipalityDemographics.ts`, `getNucleusIbgeVoterProfile` e aba Eleitorado já mergeados; não reabre escopo SIDRA/renda/RAIS.
+- **Lazy load no deriver, não no componente.** Dynamic import da aba já isola rotas não-Eleitorado; F1 move o custo do módulo estático para dentro de `getNucleusIbgeVoterProfile` (e callers async se necessário). **Rejeitado:** segundo dynamic import só no card IBGE — duplicaria fronteira async.
+- **Cortável pós-propaganda.** Fill-in de qualidade/perf; não bloqueia Onda 0 nem propaganda 16/08 se A8 principal já estiver em prod.
+- **Cache CLI do build demographics → B5 F2**, não este plano. `scripts/build-bahia-demographics.mjs` é 4º clone de `ensureCached*`; absorvido em [escala-dry-pos-b2.md](escala-dry-pos-b2.md).
+- **i18n e naming** (AGENTS.md): identificadores em inglês (`loadDemographicsModule`, `demographicsCoverageStatus`); strings visíveis em pt-BR só na UI de aviso de cobertura parcial.
+
+## Questões em aberto
+
+- **Fail-closed vs aviso parcial na F2?** **Opções:** (A) `status: 'semPerfil'` quando qualquer cidade falha; (B) `available` com flag `partialCoverage` + copy na UI; (C) aviso só em `notes`. **Recomendação:** (B) — coordenação ainda vê o perfil ponderado dos municípios válidos, com badge/linha “Cobertura parcial (N de M municípios)”; evita empty state enganoso sem esconder dado útil.
+- **`getNucleusIbgeVoterProfile` sync ou async após F1?** **Opções:** função `async` sempre; loader interno com `await import()` e API sync que lança se módulo não carregado. **Recomendação:** `async` + `await getNucleusIbgeVoterProfile` em `NucleusElectorateTab` (server) e na form action — poucos call sites, sem Promise em cada render de card.
+
+## Abordagem proposta
+
+```mermaid
+flowchart TD
+    A8["A8 perfil IBGE ✓/em merge"] --> F1
+    F1["Fase 1 — lazy bahiaMunicipalityDemographics"]
+    F1 --> F2["Fase 2 — cobertura parcial explícita"]
+    F2 --> F3["Fase 3 — size budget int"]
+    B5F2["B5 F2 ensureCachedDownload"] -.4º script.-> DemoCLI["build-bahia-demographics.mjs"]
+```
+
+### Fase 1 — Lazy load do artefato demographics
+
+- Introduzir `loadBahiaMunicipalityDemographicsModule()` (ou dynamic `import('@/lib/bahiaMunicipalityDemographics')` cacheado em `let modulePromise`) consumido por `getNucleusIbgeVoterProfile`.
+- Tornar `getNucleusIbgeVoterProfile` **async**; atualizar `NucleusElectorateTab`, `nucleusIbgeVoterProfileFormActions.ts` e testes unit.
+- Critério: import estático de `NucleusActiveTab` / rotas não-Eleitorado não puxam `bahiaMunicipalityDemographics.ts` no grafo (inspeção de bundle ou análise de imports).
+
+### Fase 2 — Cobertura parcial explícita
+
+- Contar `matchedCities` vs `effectiveCities` em `getNucleusIbgeVoterProfile`.
+- Se `matchedCities === 0` → `{ status: 'semPerfil' }` (inalterado).
+- Se `matchedCities < effectiveCities` → `available` com metadado de cobertura (`partialCoverage: true`, contagens) e copy pt-BR na UI (`NucleusIbgeVoterProfile` ou view model).
+- Testes unit: cidade inválida no meio de duas válidas → parcial; todas inválidas → `semPerfil`.
+
+### Fase 3 — Size budget no artefato
+
+- Teste int em `tests/int/bahiaMunicipalityDemographics.int.spec.ts`: `stat` de `src/lib/bahiaMunicipalityDemographics.ts` ≤ ~100 KB (margem sobre ~68 KB atuais).
+- Sem mudança de comportamento de runtime.
+
+**Migration:** nenhuma nas três fases.
+
+## Dependências
+
+- **Dura:** A8 [perfil-eleitorado-ibge.md](perfil-eleitorado-ibge.md) — artefato + derivação + aba (merge em `main`).
+- **Suave:** B5 F1 lazy geometries — precedente de padrão, não bloqueia.
+- Reusa: `resolveNucleusTerritoryCities`, `NucleusElectorateTab` dynamic import, `tests/int/bahiaGeometries.int.spec.ts` (modelo de size budget).
+
+## Não escopo
+
+- HTTP SIDRA em request path → rabbit hole A8 (perfil-eleitorado-ibge.md).
+- Pré-agregar demographics por TI no build → defer no plano-pai A8 (gatilho: region-only lento).
+- Renomear `semPerfil` para inglês → higiene score 1; descartado no triage.
+- `Promise.all` nos fetches do build script → só build-time; descartado.
+- Helper CLI `ensureCachedDownload` → **B5 F2** ([escala-dry-pos-b2.md](escala-dry-pos-b2.md)).
+- Impeccable polish classe B da aba → defer no plano-pai até marcar A8 entregue em prod.
+- Alinhar semântica IBGE vs mapa TSE (cidades vs zonas) → produto/documentação no plano-pai, não engenharia neste fill-in.
+
+## Rabbit holes
+
+- **Re-exportar demographics no barrel `bahiaGeometries` ou entry de campanha.** Mitigação: import lazy **só** dentro de `nucleusIbgeVoterProfile.ts`.
+- **Collection Payload “só para cachear demographics”.** Mitigação: manter artefato estático versionado (decisão A8).
+- **Unificar perfil IBGE com baseline TSE (A3/A4).** Mitigação: fontes distintas; sem join neste fill-in.
+
+## Adiado com gatilho
+
+- **Pré-agregação demographics por TI no build.** Revisitar quando núcleos region-only com >15 municípios mostrarem latência perceptível em prod.
+- **`formatPercent` compartilhado cross-codebase.** Revisitar no 3º consumer além de IBGE + insights.
+- **Testes unit dedicados a `resolveNucleusTerritoryCities`.** Revisitar no 3º consumer (hoje: election geography + IBGE).
+- **Semântica IBGE (todas as cidades) vs mapa (geografia TSE).** Documentado no plano-pai; revisitar se usuários reportarem footprint vazio com perfil IBGE visível.
+
+## Explicitamente fora (triage `capture-review-debts` 2026-07-20)
+
+- Renomear `semPerfil` → `noProfile` (pureza de naming).
+- `Promise.all` paralelo nos 28 fetches SIDRA do build (só CLI).
+- Harmonizar `revalidatePath` slug vs `[slug]` page entre form actions.
+- Impeccable critique/polish da aba Eleitorado antes de prod (defer no plano-pai A8).
+
+## Referências
+
+- `docs/roadmap.md` (Trilha A, A8 + fill-in A8+)
+- `docs/plans/perfil-eleitorado-ibge.md` — plano pai A8
+- `docs/plans/escala-dry-pos-b2.md` — B5 F2 cache CLI (4º call site `build-bahia-demographics.mjs`)
+- `src/lib/bahiaMunicipalityDemographics.ts` — artefato ~68KB
+- `src/utilities/nucleusIbgeVoterProfile.ts` — derivação
+- `src/components/campaign/NucleusElectorateTab.tsx` — consumidor server
+- `src/app/(campaign)/campanha/(app)/nucleos/[slug]/nucleusIbgeVoterProfileFormActions.ts` — action de cópia
+- `scripts/build-bahia-demographics.mjs` — CLI (cache → B5 F2)
+- `tests/int/bahiaGeometries.int.spec.ts` — precedente size budget
+- AGENTS.md — naming EN/pt-BR; dado estático B2; sem PII
diff --git a/docs/plans/escala-dry-pos-b2.md b/docs/plans/escala-dry-pos-b2.md
index 64e48d52..053a5e8c 100644
--- a/docs/plans/escala-dry-pos-b2.md
+++ b/docs/plans/escala-dry-pos-b2.md
@@ -1,7 +1,7 @@
 # Escala e DRY pós-B2 (geometrias + scripts CLI)
 
 Status: Fase 1 entregue com B3 (2026-07-19); Fases 2–3 pendentes
-Atualizado em: 2026-07-20 (nota cruzada `capture-review-debts` pós-A7 F2: `build-bahia-tse-city-codes.mjs` reforça gatilho F2)
+Atualizado em: 2026-07-20 (`capture-review-debts` pós-A8: `build-bahia-demographics.mjs` reforça gatilho F2 como 4º call site)
 Item do roadmap: [docs/roadmap.md](../roadmap.md) (Trilha B, item B5)
 Responsável: —
 
@@ -10,7 +10,7 @@ Responsável: —
 O B2 ([mapa-bahia-geometrias.md](mapa-bahia-geometrias.md) Fase 1) entregou a fundação estática do mapa: `*.topo.json` de municípios e Territórios de Identidade, `bahiaMunicipalityCodes`, helpers em `bahiaGeometries.ts`, script `pnpm build:geometries`. A passagem `/simplify` de 2026-07-18 limpou dead code e churns baratos no script/codegen, mas **deixou de fora** dois follow-ups que os revisores (performance / reuse) marcaram como importantes e maiores que cleanup pontual:
 
 1. **Carregamento eager de geometrias no cliente.** `src/lib/bahiaGeometries.ts` importa os dois TopoJSON, roda `topojson-client` `feature()` em 417+27 polígonos e monta índices no load do módulo — custo de bundle/memória antes de qualquer superfície Leaflet (B3).
-2. **Cache de download duplicado nos CLIs.** `ensureCachedJson` em `scripts/build-bahia-geometries.mjs` é estruturalmente o mesmo que `ensureCachedZip` em `scripts/seed-tse-results.mjs` (mkdir → hit → `downloadToBuffer` → SHA-256 → write), só muda extensão/parse. **Pós-A7 F2:** `scripts/build-bahia-tse-city-codes.mjs` (`pnpm build:tse-city-codes`) clona o mesmo padrão `ensureCachedZip` — terceiro call site, reforça prioridade da Fase 2 deste plano sem novo ID.
+2. **Cache de download duplicado nos CLIs.** `ensureCachedJson` em `scripts/build-bahia-geometries.mjs` é estruturalmente o mesmo que `ensureCachedZip` em `scripts/seed-tse-results.mjs` (mkdir → hit → `downloadToBuffer` → SHA-256 → write), só muda extensão/parse. **Pós-A7 F2:** `scripts/build-bahia-tse-city-codes.mjs` (`pnpm build:tse-city-codes`) clona o mesmo padrão `ensureCachedZip` — terceiro call site. **Pós-A8 (`capture-review-debts` 2026-07-20):** `scripts/build-bahia-demographics.mjs` (`pnpm build:demographics`) clona `ensureCachedJson` — quarto call site; reforça prioridade da Fase 2 sem novo ID de roadmap.
 3. **Factory duplicada mun/TI pós-B3 F1.** `bahiaMunicipalityGeometries.ts` e `bahiaTerritoryGeometries.ts` repetem o mesmo pipeline `topojson.feature` → array → `Map` por chave → export do módulo indexado — só mudam topology object, propriedade de chave (`codarea` vs `code`) e getter.
 
 Este plano é o registro canônico desses follow-ups. Sem ele, o B3 pode embarcar o mapa com payload desnecessário no path default, e o próximo script de dado aberto volta a clonar o cache.
@@ -63,7 +63,7 @@ flowchart TD
 - Extrair `ensureCachedDownload({ cacheDir, key, url, ext?, logPrefix })` a partir de `ensureCachedJson` / `ensureCachedZip`.
 - Retorno: `{ url, buffer, hash }` (parse JSON/ZIP fica no caller — `build-bahia-geometries` já faz `JSON.parse`; seed TSE usa `readZipEntry`).
 - Continuar usando `downloadToBuffer` (`src/lib/electionResultsZip.ts`).
-- Migrar `scripts/build-bahia-geometries.mjs`, `scripts/seed-tse-results.mjs` e `scripts/build-bahia-tse-city-codes.mjs`; sem mudança de comportamento nem de pastas `data/geometries/` / `data/tse/`.
+- Migrar `scripts/build-bahia-geometries.mjs`, `scripts/seed-tse-results.mjs`, `scripts/build-bahia-tse-city-codes.mjs` e `scripts/build-bahia-demographics.mjs`; sem mudança de comportamento nem de pastas `data/geometries/` / `data/tse/` / `data/demographics/`.
 
 ### Fase 3 — Factory compartilhada mun/TI
 
@@ -98,6 +98,7 @@ flowchart TD
 - `src/lib/bahiaMunicipalityGeometries.ts` / `bahiaTerritoryGeometries.ts` — near-duplicate pós-F1
 - `src/lib/bahiaGeometriesTypes.ts` — tipos `*GeometryModule`
 - `scripts/build-bahia-geometries.mjs` — `ensureCachedJson`
+- `scripts/build-bahia-demographics.mjs` — `ensureCachedJson` (4º call site; A8)
 - `scripts/seed-tse-results.mjs` — `ensureCachedZip`
 - `src/lib/electionResultsZip.ts` — `downloadToBuffer`
 - AGENTS.md — naming inglês; Bahia implícita; dado estático versionado
diff --git a/docs/plans/perfil-eleitorado-ibge.md b/docs/plans/perfil-eleitorado-ibge.md
index 50dfa59a..79b63657 100644
--- a/docs/plans/perfil-eleitorado-ibge.md
+++ b/docs/plans/perfil-eleitorado-ibge.md
@@ -1,9 +1,11 @@
 # Perfis do eleitorado — perfil médio IBGE + manuais
 
-Status: rascunho
+Status: em implementação
 Atualizado em: 2026-07-19
 Item do roadmap: [docs/roadmap.md](../roadmap.md) (Trilha A, item A8)
 Responsável: —
+Appetite: ~1–1,5 dia eng (artefato estático + derivação + UI encaixe + opt-in de cópia)
+Impeccable: classe B (UI encaixada na aba Eleitorado existente)
 
 ## Contexto
 
@@ -15,33 +17,29 @@ Já temos o join estável município → código IBGE 7 dígitos em `src/lib/bah
 
 ## Objetivos
 
-- Importar (CLI, estático) indicadores demográficos municipais BA suficientes para montar um “perfil médio” legível (idade dominante, sexo, renda, escolaridade/ocupação quando a tabela cobrir).
+- Importar (CLI, estático) indicadores demográficos municipais BA suficientes para montar um “perfil médio” legível (faixa etária dominante, sexo, idade mediana).
 - Derivar em leitura o perfil do núcleo a partir de `cities[]` (média ponderada pela população quando houver >1 município; só `regions` → união das cidades do TI via `citiesForTerritory`).
 - Exibir o perfil calculado na aba Eleitorado, claramente marcado como **Calculado (IBGE)**, separado dos manuais.
-- Manter CRUD de `voterProfiles` manuais; opcionalmente oferecer “Adicionar como perfil” (copia o calculado para o array, editável depois).
+- Manter CRUD de `voterProfiles` manuais; botão opt-in “Usar como perfil manual” (copia o calculado para o array, editável depois).
 - Guardrails: dado público agregado (sem PII, sem `Consent`); access só staff (mesmo escopo da aba Eleitorado hoje); sem chamada HTTP ao IBGE em runtime de request; `overrideAccess: false` nas leituras de núcleo.
 
 ## Decisões travadas
 
 - **Perfil calculado é derivado em leitura, não sobrescreve `voterProfiles`.** Persistir no array misturaria fonte IBGE com edição humana e apagaria trabalho do coordenador em re-seed. O cartão IBGE é view model; o array continua 100% manual.
-- **Dado estático versionado no repo** (padrão B2/`bahiaTseZones`/`bahiaMunicipalityCodes`), não collection Payload nem fetch SIDRA por request. Script re-executável baixa Agregados/SIDRA (ou CSV oficial), emite `src/lib/bahiaMunicipalityDemographics.ts` (+ fixture). Sem migration, sem `Consent`, sem revalidate (páginas de campanha dinâmicas).
+- **Dado estático versionado no repo** (padrão B2/`bahiaTseZones`/`bahiaMunicipalityCodes`), não collection Payload nem fetch SIDRA por request. Script re-executável baixa SIDRA, emite `src/lib/bahiaMunicipalityDemographics.ts` (+ fixture). Sem migration, sem `Consent`, sem revalidate (páginas de campanha dinâmicas).
 - **Granularidade município.** Núcleo indexa `cities[]`; bairro/seção não têm série IBGE estável alinhada ao app. Multi-cidade = ponderação por população residente do Censo.
 - **Sem geografia → estado “sem perfil IBGE”** (mesmo espírito do baseline TSE sem território).
-- **v1 cobre BA, Censo 2022** (e tabelas de rendimento/trabalho já divulgadas no mesmo ciclo). Séries antigas (2010) e PNAD contínua ficam fora.
+- **v1 cobre BA, Censo 2022** — tabelas SIDRA **9514** (população por sexo/idade) + **9515** (idade mediana). Faixas agregadas: `0–17` / `18–29` / `30–59` / `60+`. `incomeBand` / `occupation` / cor-raça **fora** até haver tabela municipal estável no Agregados.
+- **Staff-only na v1** — aba Eleitorado continua redirecionando `lideranca` para overview.
+- **UI:** números + 1 linha de síntese template (constantes versionadas), sem LLM.
+- **Copiar para `voterProfiles`:** botão opt-in “Usar como perfil manual” via Server Action de append; nunca auto-append no load.
 - **i18n e naming** (AGENTS.md): identificadores em inglês (`bahiaMunicipalityDemographics`, `getNucleusIbgeVoterProfile`, `ComputedVoterProfileViewModel`); strings visíveis em pt-BR (“Perfil médio do território”, “Calculado (IBGE Censo 2022)”).
 
-## Questões em aberto
-
-- **Quais indicadores entram no cartão v1?** Faixa etária modal + % sexo + renda domiciliar per capita (ou faixa) + cor/raça dominante são o mínimo útil e mapam bem aos campos já existentes (`ageRange`/`incomeBand`). Ocupação formal (RAIS) é outra fonte. **Recomendação:** v1 = população + pirâmide etária resumida (3–4 faixas) + sexo + rendimento; `occupation`/`localTraits` só no manual ou numa linha “destaque” textual gerada se houver variável estável; definir tabelas SIDRA exatas na implementação e documentar no cabeçalho do módulo.
-- **`lideranca` vê o perfil IBGE?** Hoje a aba Eleitorado redireciona `lideranca` para overview. **Recomendação:** manter staff-only na v1 (dado agregado público, mas a superfície de inteligência já é staff); reavaliar com produto se quiserem kit de campo para liderança.
-- **Texto gerado vs. só números?** Um parágrafo (“Predominam adultos 30–59, renda …”) ajuda o empty state; números sozinhos evitam tom “científico” falso. **Recomendação:** números + 1 linha de síntese template (constantes versionadas), sem LLM.
-- **Copiar para `voterProfiles`?** **Recomendação:** botão opt-in “Usar como perfil manual” na aba (Server Action que faz append de um item pré-preenchido); nunca auto-append no load.
-
 ## Abordagem proposta
 
 ```mermaid
 flowchart LR
-    SIDRA["IBGE Agregados / SIDRA<br/>Censo 2022 BA N6"]
+    SIDRA["IBGE SIDRA<br/>9514 + 9515 N6 BA"]
     Script["scripts/build-bahia-demographics.mjs<br/>pnpm build:demographics"]
     Static["bahiaMunicipalityDemographics.ts<br/>codarea → indicadores"]
     Nuc["electoralNucleus.cities[]"]
@@ -57,19 +55,35 @@ flowchart LR
 
 Componentes:
 
-- **`bahiaMunicipalityDemographics`** (`src/lib/bahiaMunicipalityDemographics.ts`): mapa `codarea` → `{ population, ageBands, sexShare, incomeBand, … }` + helpers `demographicsForCode` / `demographicsForMunicipalityName`. Cabeçalho com URL + SHA-256 dos downloads (padrão `bahiaMunicipalityCodes`).
-- **`getNucleusIbgeVoterProfile`** (`src/utilities/nucleusIbgeVoterProfile.ts`, `server-only`): entrada `{ cities, regions }` → `ComputedVoterProfileViewModel | { status: 'semPerfil' }`. Resolve cidades efetivas (`cities` ou `citiesForTerritory` de `bahiaTerritories.ts`); pondera indicadores; formata `label` fixo (“Perfil médio do território”) + campos alinhados ao schema manual para a UI e para o opt-in de cópia.
-- **`ElectorateContent`** (`NucleusActiveTab.tsx`): acima dos manuais, card `NucleusIbgeVoterProfile` (novo, PascalCase) com badge “Calculado (IBGE)”; empty state só quando não há calculado **nem** manuais; atualizar copy (“nenhum perfil cadastrado” → distinguir ausência de IBGE vs. ausência de manuais).
-- **`NucleusIntelligenceDialog`**: sem mudança obrigatória no schema; opcionalmente botão/ação “Adicionar perfil a partir do IBGE” que pré-preenche um `EditableProfile` no estado cliente (ou Server Action de append).
-- **Script** `scripts/build-bahia-demographics.mjs` (`pnpm build:demographics`): baixa Agregados para os 417 municípios BA; reusa `downloadToBuffer` / cache sob `data/demographics/` (gitignored); **não toca banco** (sem `assertLocalDatabase`). Fora de `pnpm build` / `pnpm dev`.
-- **Testes:** unit do ponderador (1 cidade, 2 cidades, sem geografia, município sem row); int de cobertura 417 `codarea` vs `bahiaMunicipalityCodes` + fixture `tests/fixtures/bahia-municipality-demographics.official.json`.
-- **Migration:** nenhuma. Sem collection nova. Sem Consent. Server Action só se o opt-in de cópia for mutação dedicada (senão reusa o update de inteligência existente).
+- **`bahiaMunicipalityDemographics`** (`src/lib/bahiaMunicipalityDemographics.ts`): mapa `codarea` → `{ population, ageBands, sexShareFemale, medianAge }` + helpers `demographicsForCode` / `demographicsForMunicipalityName`. Cabeçalho com URL + SHA-256 dos downloads (padrão `bahiaMunicipalityCodes`).
+- **`getNucleusIbgeVoterProfile`** (`src/utilities/nucleusIbgeVoterProfile.ts`): entrada `{ cities, regions }` → `ComputedVoterProfileViewModel | { status: 'semPerfil' }`. Resolve cidades efetivas (`cities` ou `citiesForTerritory`); pondera indicadores; formata `label` fixo (“Perfil médio do território”) + campos alinhados ao schema manual para a UI e para o opt-in de cópia.
+- **`ElectorateContent`** (`NucleusActiveTab.tsx`): acima dos manuais, card `NucleusIbgeVoterProfile` com badge “Calculado (IBGE)”; empty state só quando não há calculado **nem** manuais.
+- **Script** `scripts/build-bahia-demographics.mjs` (`pnpm build:demographics`): baixa SIDRA para os 417 municípios BA; cache `data/demographics/` (gitignored); **não toca banco**. Fora de `pnpm build` / `pnpm dev`.
+- **Testes:** unit do ponderador; int de cobertura 417 `codarea` vs `bahiaMunicipalityCodes` + fixture `tests/fixtures/bahia-municipality-demographics.official.json`.
+- **Migration:** nenhuma.
+
+## Rabbit holes (não tocar)
+
+- HTTP SIDRA em request path
+- Microdados / perfilamento individual
+- Abrir Eleitorado para `lideranca`
+- Camada demográfica no mapa Leaflet (B3/B4)
+- Acoplar loaders A3/A4/TSE
+- Collection Payload / migration “só por precaução”
+- RAIS/PNAD / Censo 2010 / renda sem tabela municipal estável
+
+## Adiado com gatilho
+
+- **Pré-agregar demographics por TI no build** (`demographicsForTerritory`). Revisitar quando núcleos só-`regions` com >15 municípios mostrarem latência perceptível em prod.
+- **Semântica IBGE vs mapa TSE.** Perfil IBGE usa todas as cidades do território (`resolveNucleusTerritoryCities`); o coroplético/mapa usa geografia TSE com zonas (`resolveNucleusElectionGeography`) — footprint vazio com perfil IBGE visível é possível. Revisitar se coordenação reportar confusão; copy de empty state ou nota na UI, não mudança de fonte.
+- **Impeccable polish classe B** (shape/critique/polish da aba Eleitorado). Revisitar antes de marcar A8 entregue em prod com dados reais.
+- **Follow-ups de engenharia pós-`/simplify`** (lazy load ~68KB, cobertura parcial, size budget) → [escala-dry-pos-a8.md](escala-dry-pos-a8.md) (fill-in **A8+**).
 
 ## Dependências
 
 - **Dura:** A1 Território multi-município/bairro ✓ — `cities[]` / `regions[]` e `citiesForTerritory`.
-- **Suave:** B2 ✓ — `bahiaMunicipalityCodes` / `codeForMunicipality` (sem isso o script teria que reimplementar o join nome→`codarea`).
-- **Nenhuma dependência de A3/A4** — fonte IBGE ≠ TSE; o baseline de votos e o perfil demográfico convivem na mesma ficha sem acoplamento de dados.
+- **Suave:** B2 ✓ — `bahiaMunicipalityCodes` / `codeForMunicipality`.
+- **Nenhuma dependência de A3/A4** — fonte IBGE ≠ TSE.
 - Reusa: `voterProfiles` + `NucleusIntelligenceDialog` + aba Eleitorado staff-only; padrão de artefato estático de B2.
 
 ## Não escopo
@@ -77,13 +91,13 @@ Componentes:
 - Microdados IBGE / perfilamento de indivíduos (LGPD; fora de escopo absoluto).
 - Perfil por bairro/seção (sem série alinhada; E5 cobre Salvador por bairro no eixo eleitoral TSE, não demográfico).
 - Insights de voto A5 (conversão, classificação, alavancagem…) — planos `insight-*.md`.
-- Camada demográfica no mapa Leaflet (B3) — eventual follow-up se o coroplético quiser densidade/renda.
-- PNAD contínua, RAIS/CAGED, Estimativas anuais pós-2022 — fase futura se o Censo 2022 cobrir o ciclo.
+- Camada demográfica no mapa Leaflet (B3) — eventual follow-up.
+- PNAD contínua, RAIS/CAGED, Estimativas anuais pós-2022 — fase futura.
 - Abrir a aba Eleitorado para `lideranca` (mudança de access à parte).
 
 ## Referências
 
-- `docs/roadmap.md` (Trilha A, item A8; Janela 3)
+- `docs/roadmap.md` (Trilha A, item A8; Janela 2)
 - `src/collections/ElectoralNucleus.ts` — campo `voterProfiles`
 - `src/components/campaign/NucleusActiveTab.tsx` — `ElectorateContent` (staff-only)
 - `src/components/campaign/NucleusIntelligenceDialog.tsx` — editor manual
@@ -92,6 +106,6 @@ Componentes:
 - `src/lib/bahiaTerritories.ts` — `citiesForTerritory`
 - `docs/plans/mapa-bahia-geometrias.md` — precedente de artefato estático + script CLI
 - `docs/plans/baseline-eleitoral-tse.md` — precedente de dado público agregado (TSE; fonte distinta)
-- IBGE API Agregados: https://servicodados.ibge.gov.br/api/v3/agregados
+- `docs/plans/escala-dry-pos-a8.md` — fill-in A8+ (lazy demographics, cobertura parcial, size budget)
 - IBGE SIDRA: https://apisidra.ibge.gov.br/
 - AGENTS.md — naming EN/pt-BR; Campaign auth; sem PII; padrão estático B2
diff --git a/docs/roadmap.md b/docs/roadmap.md
index fcec9324..bb461434 100644
--- a/docs/roadmap.md
+++ b/docs/roadmap.md
@@ -1,6 +1,6 @@
 # Roadmap — Teqo
 
-Atualizado em: 2026-07-19 (A5 mobilização ✓ em `main`; A5 aberto: só inteligência competitiva)
+Atualizado em: 2026-07-20 (A8+ fill-in pós-`/simplify`; A8 em implementação)
 
 Registro canônico dos **próximos** planos e débitos. Histórico de entregas: resumo abaixo + planos em [`docs/plans/`](plans/) + notebook [`.cursor/rules/projects/nucleos-eleitorais.mdc`](../.cursor/rules/projects/nucleos-eleitorais.mdc).
 
@@ -49,6 +49,7 @@ Engenharia de núcleos / C2 / C3 / baseline / PWA / Trilha E parcial já em `mai
 - **A** — A6 dobradinha 2026 automática quando o TSE publicar candidaturas · gatilho externo: pós-15/08 · [plano](plans/insight-dobradinha-2026.md)
 - **A** — A7 F2–F5: `cityCode` TSE, Alert/Progress DRY, fetch 2022 único lista+mapa, batch flip na lista · gatilho F4: pós-B3 ✓; F5: pós-A5 · [plano](plans/escala-dry-pos-a4.md)
 - **A** — A8 perfil médio do eleitorado (IBGE) na aba Eleitorado sem sobrescrever manuais · [plano](plans/perfil-eleitorado-ibge.md)
+- **A** — A8+ escala pós-A8: lazy demographics, cobertura parcial, size budget · gatilho: merge A8 · [plano](plans/escala-dry-pos-a8.md)
 - **B** — B4 camada de zonas TSE no mapa coroplético · [mapa](plans/mapa-bahia-geometrias.md)
 - **B** — B5 F2–F3: cache CLI compartilhado + factory mun/TI · [plano](plans/escala-dry-pos-b2.md)
 - **B** — B6 `BahiaMap` setStyle incremental ao trocar métrica · gatilho: troca frequente no overview · [plano](plans/escala-dry-pos-b3.md)
@@ -96,6 +97,7 @@ flowchart TD
         A7["A7 F2–F5 escala pós-A4"]
         A6["A6 Dobradinha 2026"]
         A8["A8 Perfis IBGE"]
+        A8DRY["A8+ escala pós-A8"]
     end
 
     subgraph TrilhaB["Trilha B"]
@@ -131,6 +133,7 @@ flowchart TD
     A4 --> A5open
     A5done -.mesmo loader.-> A7
     A4 --> A6
+    A8 -.após merge.-> A8DRY
     TSE2026["TSE candidaturas 2026<br/>(após 15/08)"] --> A6
     B3 --> B6
     B3 --> B4
@@ -188,6 +191,7 @@ flowchart TD
 ### Fill-ins abertos
 
 - **O0+** — revalidate globals, módulo de chaves Consent, testes SQL, DRY Lexical/layout · [plano](plans/escala-dry-pos-onda0.md)
+- **A8+** — lazy `bahiaMunicipalityDemographics`, cobertura parcial explícita, size budget int · gatilho: A8 ✓ · [plano](plans/escala-dry-pos-a8.md)
 - **VR+** — refresh bfcache/storage do painel recentes + DRY de lista · gatilho F1: painel stale · [plano](plans/escala-dry-pos-visitados-recentemente.md)
 - **RS+** — auth read leve + shells/campos de senha compartilhados · gatilho F1: `/campanha` lento sob carga · [plano](plans/escala-dry-pos-reset-senha-perfil.md)
 - **FD+** — shell size / heading / strips Field Desk · gatilho strips: 3ª strip no home ou Fase 3 VoteGoals · [plano](plans/escala-dry-pos-field-desk.md)
@@ -207,7 +211,7 @@ Plano histórico: [mapa-projecao-municipios.md](plans/mapa-projecao-municipios.m
 
 **Não cortáveis:** Onda 0 (jurídico/Consent), C2 dados reais, C3 agenda (já ✓), A4 baseline (já ✓), E1+E3 paridade mínima com a planilha (já ✓) — risco legal, base nominal, operação e instrumento de alocação.
 
-**Cortes seguros** (se o prazo apertar): E5; B4; B6; B5 F2–F3; A8; E7 F1/F3/F4; E6 F2–F4 (preferir F1 se lista lenta); A7 F2–F5 (F4 vale mais com mapa na lista; F5 se filtros ≤10 núcleos); A5 competitiva; C4; D2 push (manter sino); C10/C11 se base/agenda pequenas; O0+/VR+/RS+/FD+ fases cosméticas; FD2 Fase 5 motion; fill-ins.
+**Cortes seguros** (se o prazo apertar): E5; B4; B6; B5 F2–F3; A8; **A8+**; E7 F1/F3/F4; E6 F2–F4 (preferir F1 se lista lenta); A7 F2–F5 (F4 vale mais com mapa na lista; F5 se filtros ≤10 núcleos); A5 competitiva; C4; D2 push (manter sino); C10/C11 se base/agenda pequenas; O0+/VR+/RS+/FD+ fases cosméticas; FD2 Fase 5 motion; fill-ins.
 
 ## Bloqueadores atuais
 
diff --git a/package.json b/package.json
index 93ced912..c7dd384e 100644
--- a/package.json
+++ b/package.json
@@ -28,6 +28,7 @@
     "db:seed:posts": "cross-env NODE_OPTIONS=\"--no-deprecation --import=tsx/esm --import=./scripts/seed-loader.mjs\" node scripts/seed-posts.mjs",
     "db:seed:tse": "cross-env NODE_OPTIONS=\"--no-deprecation --import=tsx/esm --import=./scripts/seed-loader.mjs\" node scripts/seed-tse-results.mjs",
     "db:seed:consent": "cross-env NODE_OPTIONS=\"--no-deprecation --import=tsx/esm --import=./scripts/seed-loader.mjs\" node scripts/seed-consent.mjs",
+    "build:demographics": "cross-env NODE_OPTIONS=\"--no-deprecation --import=tsx/esm\" node scripts/build-bahia-demographics.mjs",
     "build:geometries": "cross-env NODE_OPTIONS=\"--no-deprecation --import=tsx/esm\" node scripts/build-bahia-geometries.mjs",
     "build:tse-city-codes": "cross-env NODE_OPTIONS=\"--no-deprecation --import=tsx/esm\" node scripts/build-bahia-tse-city-codes.mjs",
     "dev": "node scripts/guard-dev-db.mjs && cross-env NODE_OPTIONS=--no-deprecation next dev",
diff --git a/scripts/build-bahia-demographics.mjs b/scripts/build-bahia-demographics.mjs
new file mode 100644
index 00000000..7133abb3
--- /dev/null
+++ b/scripts/build-bahia-demographics.mjs
@@ -0,0 +1,299 @@
+/**
+ * Builds static Bahia municipality demographics from IBGE SIDRA (Censo 2022).
+ *
+ * Provenance:
+ * - SIDRA table 9514 — População residente, por sexo, idade e forma de declaração da idade (2022, N6):
+ *     https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022
+ * - SIDRA table 9515 — Idade mediana (2022, N6):
+ *     https://apisidra.ibge.gov.br/values/t/9515/n3/29/n6/all/v/10613/p/2022
+ *
+ * Safety: does not touch any database — only downloads public SIDRA JSON and writes
+ * versioned artifacts under src/lib/ and tests/fixtures/.
+ *
+ * Usage:
+ *   pnpm build:demographics
+ *   DEMOGRAPHICS_CACHE_DIR=./data/demographics pnpm build:demographics
+ */
+
+import { createHash } from 'node:crypto'
+import { access, mkdir, readFile, writeFile } from 'node:fs/promises'
+import { dirname, join } from 'node:path'
+import { fileURLToPath } from 'node:url'
+
+const { bahiaMunicipalityCodes } = await import('../src/lib/bahiaMunicipalityCodes.ts')
+const { downloadToBuffer } = await import('../src/lib/electionResultsZip.ts')
+
+const ROOT = join(dirname(fileURLToPath(import.meta.url)), '..')
+
+const SOURCES = {
+  femalePopulation: {
+    key: 'sidra-9514-ba-municipios-mulheres',
+    url: 'https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/5/c287/100362',
+  },
+  medianAge: {
+    key: 'sidra-9515-ba-municipios-idade-mediana',
+    url: 'https://apisidra.ibge.gov.br/values/t/9515/n3/29/n6/all/v/10613/p/2022',
+  },
+}
+
+/** SIDRA classification 287 (Idade) category ids grouped for the app bands. */
+const AGE_BAND_CATEGORY_IDS = {
+  '0-17': [93070, 93084, 93085, 6572, 6573, 6574],
+  '18-29': [6575, 6576, 6577, 6578, 6579, 6580, 6581, 93088],
+  '30-59': [93089, 93090, 93091, 93092, 93093, 93094],
+  '60+': [93095, 93096, 93097, 93098, 49108, 49109, 60040, 60041, 6653],
+}
+
+const AGE_CATEGORY_TO_BAND = Object.fromEntries(
+  Object.entries(AGE_BAND_CATEGORY_IDS).flatMap(([band, ids]) =>
+    ids.map((id) => [String(id), band]),
+  ),
+)
+
+const die = (message) => {
+  console.error(`\n[build:demographics] ${message}\n`)
+  process.exit(1)
+}
+
+const sha256 = (buffer) => createHash('sha256').update(buffer).digest('hex')
+
+const cacheDir = () => process.env.DEMOGRAPHICS_CACHE_DIR || join(ROOT, 'data', 'demographics')
+
+const ensureCachedJson = async ({ key, url }) => {
+  const dir = cacheDir()
+  await mkdir(dir, { recursive: true })
+  const path = join(dir, `${key}.json`)
+  try {
+    await access(path)
+    console.log(`[build:demographics] cache hit ${path}`)
+    const buffer = await readFile(path)
+    return { url, hash: sha256(buffer), json: JSON.parse(buffer.toString('utf8')) }
+  } catch (error) {
+    if (error?.code !== 'ENOENT') throw error
+  }
+  console.log(`[build:demographics] downloading ${url}`)
+  const buffer = await downloadToBuffer(url)
+  const hash = sha256(buffer)
+  await writeFile(path, buffer)
+  console.log(`[build:demographics] saved ${path} (${buffer.length} bytes, sha256=${hash})`)
+  return { url, hash, json: JSON.parse(buffer.toString('utf8')) }
+}
+
+const writeText = async (relativePath, body) => {
+  const path = join(ROOT, relativePath)
+  await mkdir(dirname(path), { recursive: true })
+  await writeFile(path, body)
+  console.log(`[build:demographics] wrote ${relativePath} (${Buffer.byteLength(body)} bytes)`)
+}
+
+const parseSidraValue = (value) => {
+  if (value === '...' || value === '-' || value === 'X' || value == null || value === '') return 0
+  const parsed = Number.parseInt(String(value).replace(/\./g, ''), 10)
+  return Number.isFinite(parsed) ? parsed : 0
+}
+
+const municipalityRows = (rows) =>
+  rows.filter((row) => row?.NC === '6' && String(row?.D1C ?? '').startsWith('29'))
+
+const buildDemographicsByCode = ({ ageCategoryRows, femaleRows, medianRows }) => {
+  const byCode = new Map()
+
+  for (const { categoryId, rows } of ageCategoryRows) {
+    const band = AGE_CATEGORY_TO_BAND[String(categoryId)]
+    if (!band) continue
+
+    for (const row of municipalityRows(rows)) {
+      const code = String(row.D1C)
+      const current = byCode.get(code) ?? {
+        population: 0,
+        ageBands: { '0-17': 0, '18-29': 0, '30-59': 0, '60+': 0 },
+        femalePopulation: 0,
+        medianAge: null,
+      }
+      current.ageBands[band] += parseSidraValue(row.V)
+      byCode.set(code, current)
+    }
+  }
+
+  for (const row of municipalityRows(femaleRows)) {
+    const code = String(row.D1C)
+    const current = byCode.get(code)
+    if (!current) continue
+    current.femalePopulation = parseSidraValue(row.V)
+  }
+
+  for (const row of municipalityRows(medianRows)) {
+    const code = String(row.D1C)
+    const current = byCode.get(code)
+    if (!current) continue
+    const median = Number.parseFloat(String(row.V).replace(',', '.'))
+    current.medianAge = Number.isFinite(median) ? median : null
+  }
+
+  for (const [code, record] of byCode.entries()) {
+    record.population = Object.values(record.ageBands).reduce((sum, value) => sum + value, 0)
+    record.sexShareFemale =
+      record.population > 0 ? record.femalePopulation / record.population : 0
+    delete record.femalePopulation
+  }
+
+  return byCode
+}
+
+const buildModuleSource = (demographicsByCode, provenance) => {
+  const entries = [...demographicsByCode.entries()].sort(([left], [right]) => left.localeCompare(right))
+  const lines = entries
+    .map(([code, record]) => {
+      const bands = Object.entries(record.ageBands)
+        .map(([band, value]) => `${JSON.stringify(band)}: ${value}`)
+        .join(', ')
+      const median =
+        record.medianAge == null ? 'null' : JSON.stringify(record.medianAge)
+      const sexShare = record.sexShareFemale.toFixed(6)
+      return `  ${JSON.stringify(code)}: { population: ${record.population}, ageBands: { ${bands} }, sexShareFemale: ${sexShare}, medianAge: ${median} },`
+    })
+    .join('\n')
+
+  return `/**
+ * IBGE Censo 2022 municipality demographics for Bahia (codarea → indicators).
+ *
+ * Source (SIDRA table 9514 — população por idade, UF BA N6; accessed ${provenance.accessed}):
+ * ${provenance.ageCategoryUrls.join('\n * ')}
+ * Download SHA-256: ${provenance.ageCategorySha256.join(', ')}
+ *
+ * Source (SIDRA table 9514 — população feminina total, UF BA N6; accessed ${provenance.accessed}):
+ * ${provenance.femaleUrl}
+ * Download SHA-256: ${provenance.femaleSha256}
+ *
+ * Source (SIDRA table 9515 — idade mediana, UF BA N6; accessed ${provenance.accessed}):
+ * ${provenance.medianUrl}
+ * Download SHA-256: ${provenance.medianSha256}
+ *
+ * Age bands aggregate SIDRA classification 287 categories documented in scripts/build-bahia-demographics.mjs.
+ * Coverage is independently checked by tests/fixtures/bahia-municipality-demographics.official.json.
+ */
+
+import { codeForMunicipality } from '@/lib/bahiaMunicipalityCodes'
+
+export type MunicipalityAgeBandKey = '0-17' | '18-29' | '30-59' | '60+'
+
+export type MunicipalityDemographics = {
+  population: number
+  ageBands: Record<MunicipalityAgeBandKey, number>
+  sexShareFemale: number
+  medianAge: number | null
+}
+
+export const bahiaMunicipalityDemographics: Readonly<Record<string, MunicipalityDemographics>> = {
+${lines}
+}
+
+export const demographicsForCode = (codarea: string): MunicipalityDemographics | undefined =>
+  bahiaMunicipalityDemographics[codarea]
+
+export const demographicsForMunicipalityName = (
+  municipality: string,
+): MunicipalityDemographics | undefined => {
+  const code = codeForMunicipality(municipality)
+  return code ? demographicsForCode(code) : undefined
+}
+`
+}
+
+const buildFixture = (demographicsByCode) => {
+  const assignments = [...demographicsByCode.entries()]
+    .sort(([left], [right]) => left.localeCompare(right))
+    .map(([code, record]) => ({
+      code,
+      population: record.population,
+      ageBands: record.ageBands,
+      sexShareFemale: Number(record.sexShareFemale.toFixed(6)),
+      medianAge: record.medianAge,
+    }))
+
+  const evidenceRows = assignments
+    .map(
+      ({ code, population, ageBands, sexShareFemale, medianAge }) =>
+        `D\t${code}\t${population}\t${ageBands['0-17']}\t${ageBands['18-29']}\t${ageBands['30-59']}\t${ageBands['60+']}\t${sexShareFemale}\t${medianAge ?? ''}\n`,
+    )
+    .join('')
+
+  return {
+    municipalityCount: assignments.length,
+    assignments,
+    evidenceSha256: sha256(Buffer.from(evidenceRows, 'utf8')),
+  }
+}
+
+const main = async () => {
+  const accessed = new Date().toISOString().slice(0, 10)
+  const uniqueCategoryIds = [
+    ...new Set(Object.values(AGE_BAND_CATEGORY_IDS).flatMap((ids) => ids)),
+  ].sort((left, right) => left - right)
+
+  const ageCategoryDownloads = []
+  for (const categoryId of uniqueCategoryIds) {
+    const download = await ensureCachedJson({
+      key: `sidra-9514-ba-idade-${categoryId}`,
+      url: `https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/${categoryId}`,
+    })
+    ageCategoryDownloads.push({ categoryId, ...download })
+  }
+
+  const female = await ensureCachedJson(SOURCES.femalePopulation)
+  const median = await ensureCachedJson(SOURCES.medianAge)
+
+  const demographicsByCode = buildDemographicsByCode({
+    ageCategoryRows: ageCategoryDownloads.map(({ categoryId, json }) => ({
+      categoryId,
+      rows: json,
+    })),
+    femaleRows: female.json,
+    medianRows: median.json,
+  })
+
+  const expectedCodes = new Set(Object.values(bahiaMunicipalityCodes))
+  if (demographicsByCode.size !== expectedCodes.size) {
+    die(
+      `expected ${expectedCodes.size} municipality rows, got ${demographicsByCode.size} from SIDRA`,
+    )
+  }
+
+  for (const code of expectedCodes) {
+    if (!demographicsByCode.has(code)) {
+      die(`missing demographics for codarea ${code}`)
+    }
+    const record = demographicsByCode.get(code)
+    if (record.population <= 0) {
+      die(`non-positive population for codarea ${code}`)
+    }
+  }
+
+  const provenance = {
+    accessed,
+    ageCategoryUrls: ageCategoryDownloads.map(({ url }) => url),
+    ageCategorySha256: ageCategoryDownloads.map(({ hash }) => hash),
+    femaleUrl: female.url,
+    femaleSha256: female.hash,
+    medianUrl: median.url,
+    medianSha256: median.hash,
+  }
+
+  await writeText(
+    'src/lib/bahiaMunicipalityDemographics.ts',
+    buildModuleSource(demographicsByCode, provenance),
+  )
+  await writeText(
+    'tests/fixtures/bahia-municipality-demographics.official.json',
+    `${JSON.stringify(buildFixture(demographicsByCode), null, 2)}\n`,
+  )
+
+  console.log(
+    `[build:demographics] done — ${demographicsByCode.size} municipalities, total population ${[...demographicsByCode.values()].reduce((sum, row) => sum + row.population, 0)}`,
+  )
+}
+
+main().catch((error) => {
+  console.error(error)
+  process.exit(1)
+})
diff --git a/src/app/(campaign)/campanha/(app)/nucleos/[slug]/nucleusIbgeVoterProfileFormActions.ts b/src/app/(campaign)/campanha/(app)/nucleos/[slug]/nucleusIbgeVoterProfileFormActions.ts
new file mode 100644
index 00000000..5bcb2b40
--- /dev/null
+++ b/src/app/(campaign)/campanha/(app)/nucleos/[slug]/nucleusIbgeVoterProfileFormActions.ts
@@ -0,0 +1,95 @@
+'use server'
+
+import { revalidatePath } from 'next/cache'
+
+import { updateNucleus } from '@/app/(campaign)/campanha/actions/nucleus'
+import { requiredRelationshipFormValue } from '@/lib/formData'
+import { getCampaignActionContext } from '@/utilities/campaignActionContext'
+import {
+  type CampaignFormActionState,
+  mapCampaignFormActionError,
+} from '@/utilities/campaignFormActionError'
+import { toNucleusElectionGeographyInput } from '@/utilities/nucleusElectionGeography'
+import {
+  getNucleusIbgeVoterProfile,
+  IBGE_VOTER_PROFILE_LABEL,
+} from '@/utilities/nucleusIbgeVoterProfile'
+import { voterProfileNullsToUndefined } from '@/utilities/nucleusIntelligenceUi'
+
+export type AppendIbgeVoterProfileFormState = CampaignFormActionState
+
+const safeMessages = [
+  'Somente a coordenação pode editar a inteligência do núcleo.',
+  'Não há perfil IBGE disponível para este território.',
+  'Já existe um perfil manual com este rótulo.',
+] as const
+
+const errorState = (error: unknown): AppendIbgeVoterProfileFormState =>
+  mapCampaignFormActionError({
+    error,
+    safeMessages,
+    genericMessage: 'Não foi possível adicionar o perfil IBGE. Tente novamente.',
+  })
+
+export const appendIbgeVoterProfileFormAction = async (
+  _state: AppendIbgeVoterProfileFormState,
+  formData: FormData,
+): Promise<AppendIbgeVoterProfileFormState> => {
+  try {
+    const { payload, actor } = await getCampaignActionContext()
+    if (actor.role === 'lideranca') {
+      throw new Error('Somente a coordenação pode editar a inteligência do núcleo.')
+    }
+
+    const nucleusId = requiredRelationshipFormValue(formData, 'nucleus')
+    const nucleus = await payload.findByID({
+      collection: 'electoralNucleus',
+      id: nucleusId,
+      depth: 0,
+      user: actor,
+      overrideAccess: false,
+      select: {
+        slug: true,
+        cities: true,
+        regions: true,
+        voterProfiles: {
+          label: true,
+          ageRange: true,
+          incomeBand: true,
+          occupation: true,
+          localTraits: true,
+          notes: true,
+        },
+      },
+    })
+
+    const computed = getNucleusIbgeVoterProfile(toNucleusElectionGeographyInput(nucleus))
+
+    if (computed.status !== 'available') {
+      throw new Error('Não há perfil IBGE disponível para este território.')
+    }
+
+    const existingProfiles = (nucleus.voterProfiles ?? []).map(voterProfileNullsToUndefined)
+    if (existingProfiles.some((profile) => profile.label === IBGE_VOTER_PROFILE_LABEL)) {
+      throw new Error('Já existe um perfil manual com este rótulo.')
+    }
+
+    const updated = await updateNucleus({
+      id: nucleusId,
+      voterProfiles: [
+        ...existingProfiles,
+        {
+          label: computed.profile.label,
+          ageRange: computed.profile.ageRange,
+          localTraits: computed.profile.localTraits,
+          notes: computed.profile.notes,
+        },
+      ],
+    })
+
+    revalidatePath(`/campanha/nucleos/${updated.slug}`)
+    return { status: 'success', message: 'Perfil IBGE adicionado aos perfis manuais.' }
+  } catch (error) {
+    return errorState(error)
+  }
+}
diff --git a/src/components/campaign/NucleusActiveTab.tsx b/src/components/campaign/NucleusActiveTab.tsx
index 9aca3b0f..a4ae64bf 100644
--- a/src/components/campaign/NucleusActiveTab.tsx
+++ b/src/components/campaign/NucleusActiveTab.tsx
@@ -41,7 +41,6 @@ import type {
   NucleusDetailViewModel,
   NucleusElectoralBaselineViewModel,
   NucleusTabsViewModel,
-  StaffNucleusTabsViewModel,
 } from '@/utilities/nucleusViewModels'
 import { buildWhatsAppUrl } from '@/utilities/phone'
 import { buildNucleusDetailMapHighlight } from '@/utilities/nucleusChoropleth'
@@ -345,35 +344,6 @@ const TerritoryContent = ({ nucleus }: { nucleus: NucleusTabsViewModel }) => (
   </div>
 )
 
-const ElectorateContent = ({ nucleus }: { nucleus: StaffNucleusTabsViewModel }) =>
-  nucleus.voterProfiles.length ? (
-    <div className="grid gap-4 lg:grid-cols-2">
-      {nucleus.voterProfiles.map((profile) => (
-        <Card key={profile.label}>
-          <CardHeader>
-            <CardTitle>{profile.label}</CardTitle>
-          </CardHeader>
-          <CardContent className="flex flex-col gap-2 text-sm">
-            {profile.ageRange ? <p>Faixa etária: {profile.ageRange}</p> : null}
-            {profile.incomeBand ? <p>Renda: {profile.incomeBand}</p> : null}
-            {profile.occupation ? <p>Ocupação: {profile.occupation}</p> : null}
-            {profile.localTraits ? <p>{profile.localTraits}</p> : null}
-            {profile.notes ? <p className="text-muted-foreground">{profile.notes}</p> : null}
-          </CardContent>
-        </Card>
-      ))}
-    </div>
-  ) : (
-    <Empty className="border">
-      <EmptyHeader>
-        <EmptyTitle>Nenhum perfil do eleitorado cadastrado</EmptyTitle>
-        <EmptyDescription>
-          Perfis e inteligência eleitoral serão trabalhados na próxima etapa.
-        </EmptyDescription>
-      </EmptyHeader>
-    </Empty>
-  )
-
 export const NucleusActiveTabLoading = () => (
   <div aria-label="Carregando seção" className="grid gap-4 lg:grid-cols-2">
     <Skeleton className="h-40" />
@@ -418,7 +388,14 @@ export const NucleusActiveTab = async ({
   if (data.tab === 'territory') return <TerritoryContent nucleus={view.tabs} />
   if (data.tab === 'electorate') {
     if (view.tabs.kind !== 'staff') redirect(`/campanha/nucleos/${view.slug}?tab=overview`)
-    return <ElectorateContent nucleus={view.tabs} />
+    const { NucleusElectorateTab } = await import('@/components/campaign/NucleusElectorateTab')
+    return (
+      <NucleusElectorateTab
+        canEditIntelligence={user.role !== 'lideranca'}
+        nucleus={view.tabs}
+        nucleusId={view.id}
+      />
+    )
   }
 
   if (data.tab === 'leaderships') {
diff --git a/src/components/campaign/NucleusElectorateTab.tsx b/src/components/campaign/NucleusElectorateTab.tsx
new file mode 100644
index 00000000..23a8ba9b
--- /dev/null
+++ b/src/components/campaign/NucleusElectorateTab.tsx
@@ -0,0 +1,69 @@
+import { NucleusIbgeVoterProfile } from '@/components/campaign/NucleusIbgeVoterProfile'
+import { NucleusManualVoterProfileCard } from '@/components/campaign/NucleusVoterProfileCard'
+import { Empty, EmptyDescription, EmptyHeader, EmptyTitle } from '@/components/ui/Empty'
+import {
+  getNucleusIbgeVoterProfile,
+  IBGE_VOTER_PROFILE_LABEL,
+} from '@/utilities/nucleusIbgeVoterProfile'
+import type { StaffNucleusTabsViewModel } from '@/utilities/nucleusViewModels'
+
+type NucleusElectorateTabProps = {
+  canEditIntelligence: boolean
+  nucleus: StaffNucleusTabsViewModel
+  nucleusId: number
+}
+
+export const NucleusElectorateTab = ({
+  canEditIntelligence,
+  nucleus,
+  nucleusId,
+}: NucleusElectorateTabProps) => {
+  const computed = getNucleusIbgeVoterProfile({
+    cities: nucleus.cities,
+    regions: nucleus.regions,
+  })
+  const hasManualProfiles = nucleus.voterProfiles.length > 0
+  const hasIbgeProfile = computed.status === 'available'
+  const hasManualProfileWithSameLabel = nucleus.voterProfiles.some(
+    (profile) => profile.label === IBGE_VOTER_PROFILE_LABEL,
+  )
+
+  if (!hasIbgeProfile && !hasManualProfiles) {
+    return (
+      <Empty className="border">
+        <EmptyHeader>
+          <EmptyTitle>Nenhum perfil do eleitorado disponível</EmptyTitle>
+          <EmptyDescription>
+            Cadastre o território do núcleo para ver o perfil médio do IBGE ou adicione perfis
+            manuais pela inteligência do núcleo.
+          </EmptyDescription>
+        </EmptyHeader>
+      </Empty>
+    )
+  }
+
+  return (
+    <div className="flex flex-col gap-4">
+      {hasIbgeProfile ? (
+        <NucleusIbgeVoterProfile
+          canCopyToManual={canEditIntelligence}
+          hasManualProfileWithSameLabel={hasManualProfileWithSameLabel}
+          nucleusId={nucleusId}
+          profile={computed.profile}
+        />
+      ) : null}
+      {hasManualProfiles ? (
+        <div className="grid gap-4 lg:grid-cols-2">
+          {nucleus.voterProfiles.map((profile) => (
+            <NucleusManualVoterProfileCard key={profile.label} profile={profile} />
+          ))}
+        </div>
+      ) : (
+        <p className="text-sm text-muted-foreground">
+          Nenhum perfil manual cadastrado. Use o botão acima para copiar o perfil IBGE ou edite pela
+          inteligência do núcleo.
+        </p>
+      )}
+    </div>
+  )
+}
diff --git a/src/components/campaign/NucleusIbgeVoterProfile.tsx b/src/components/campaign/NucleusIbgeVoterProfile.tsx
new file mode 100644
index 00000000..367b27cc
--- /dev/null
+++ b/src/components/campaign/NucleusIbgeVoterProfile.tsx
@@ -0,0 +1,88 @@
+'use client'
+
+import { useActionState, useEffect } from 'react'
+import { useRouter } from 'next/navigation'
+import { toast } from 'sonner'
+
+import {
+  appendIbgeVoterProfileFormAction,
+  type AppendIbgeVoterProfileFormState,
+} from '@/app/(campaign)/campanha/(app)/nucleos/[slug]/nucleusIbgeVoterProfileFormActions'
+import { NucleusVoterProfileCardBody } from '@/components/campaign/NucleusVoterProfileCard'
+import { Alert, AlertDescription, AlertTitle } from '@/components/ui/Alert'
+import { Badge } from '@/components/ui/Badge'
+import { Button } from '@/components/ui/button'
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card'
+import type { ComputedVoterProfileViewModel } from '@/utilities/nucleusIbgeVoterProfile'
+
+type NucleusIbgeVoterProfileProps = {
+  canCopyToManual: boolean
+  hasManualProfileWithSameLabel: boolean
+  nucleusId: number
+  profile: ComputedVoterProfileViewModel
+}
+
+const FormFeedback = ({ state }: { state: AppendIbgeVoterProfileFormState }) => {
+  if (!state.message || state.status === 'success') return null
+
+  return (
+    <Alert variant="destructive" aria-live="polite">
+      <AlertTitle>Não foi possível adicionar o perfil</AlertTitle>
+      <AlertDescription>{state.message}</AlertDescription>
+    </Alert>
+  )
+}
+
+export const NucleusIbgeVoterProfile = ({
+  canCopyToManual,
+  hasManualProfileWithSameLabel,
+  nucleusId,
+  profile,
+}: NucleusIbgeVoterProfileProps) => {
+  const router = useRouter()
+  const [state, formAction, pending] = useActionState<
+    AppendIbgeVoterProfileFormState,
+    FormData
+  >(appendIbgeVoterProfileFormAction, {})
+  const displayState = state.status === 'success' ? {} : state
+
+  useEffect(() => {
+    if (state.status !== 'success' || !state.message) return
+    toast.success(state.message)
+    router.refresh()
+  }, [router, state.message, state.status])
+
+  return (
+    <Card className="border-dashed">
+      <CardHeader className="gap-3">
+        <div className="flex flex-wrap items-center gap-2">
+          <CardTitle>{profile.label}</CardTitle>
+          <Badge variant="secondary">Calculado (IBGE Censo 2022)</Badge>
+        </div>
+      </CardHeader>
+      <CardContent className="flex flex-col gap-3 text-sm">
+        <p>{profile.localTraits}</p>
+        <NucleusVoterProfileCardBody profile={{ ageRange: profile.ageRange }} />
+        <p className="text-muted-foreground">{profile.notes}</p>
+        {canCopyToManual ? (
+          <form action={formAction} className="pt-1">
+            <input name="nucleus" type="hidden" value={String(nucleusId)} />
+            <Button
+              disabled={pending || hasManualProfileWithSameLabel}
+              size="sm"
+              type="submit"
+              variant="outline"
+            >
+              {hasManualProfileWithSameLabel
+                ? 'Já adicionado como perfil manual'
+                : pending
+                  ? 'Adicionando…'
+                  : 'Usar como perfil manual'}
+            </Button>
+          </form>
+        ) : null}
+        <FormFeedback state={displayState} />
+      </CardContent>
+    </Card>
+  )
+}
diff --git a/src/components/campaign/NucleusIntelligenceDialog.tsx b/src/components/campaign/NucleusIntelligenceDialog.tsx
index f7793b3b..95eae586 100644
--- a/src/components/campaign/NucleusIntelligenceDialog.tsx
+++ b/src/components/campaign/NucleusIntelligenceDialog.tsx
@@ -33,6 +33,7 @@ import { Input } from '@/components/ui/input'
 import { Spinner } from '@/components/ui/Spinner'
 import { Textarea } from '@/components/ui/textarea'
 import { fieldError } from '@/utilities/campaignFormFields'
+import { normalizedVoterProfilesForWrite } from '@/utilities/nucleusIntelligenceUi'
 import {
   nucleusDobradinhaNotesDescription,
   nucleusDobradinhaNotesLabel,
@@ -72,18 +73,6 @@ const emptyProfile = (): EditableProfile => ({
 const normalizedInsights = (values: string[]) =>
   values.map((text) => ({ text: text.trim() })).filter(({ text }) => Boolean(text))
 
-const normalizedProfiles = (profiles: EditableProfile[]) =>
-  profiles
-    .map((profile) => ({
-      label: profile.label.trim(),
-      ageRange: profile.ageRange?.trim() || undefined,
-      incomeBand: profile.incomeBand?.trim() || undefined,
-      occupation: profile.occupation?.trim() || undefined,
-      localTraits: profile.localTraits?.trim() || undefined,
-      notes: profile.notes?.trim() || undefined,
-    }))
-    .filter(({ label }) => Boolean(label))
-
 const FormFeedback = ({ state }: { state: NucleusIntelligenceFormState }) => {
   if (!state.message || state.status === 'success') return null
 
@@ -166,7 +155,7 @@ export const NucleusIntelligenceDialog = ({
         <input
           type="hidden"
           name="voterProfiles"
-          value={JSON.stringify(normalizedProfiles(profiles))}
+          value={JSON.stringify(normalizedVoterProfilesForWrite(profiles))}
         />
         <FormFeedback state={state} />
 
diff --git a/src/components/campaign/NucleusVoterProfileCard.tsx b/src/components/campaign/NucleusVoterProfileCard.tsx
new file mode 100644
index 00000000..a8825fe0
--- /dev/null
+++ b/src/components/campaign/NucleusVoterProfileCard.tsx
@@ -0,0 +1,42 @@
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card'
+
+export type NucleusVoterProfileCardFields = {
+  label: string
+  ageRange?: string | null
+  incomeBand?: string | null
+  occupation?: string | null
+  localTraits?: string | null
+  notes?: string | null
+}
+
+export const NucleusVoterProfileCardBody = ({
+  profile,
+}: {
+  profile: Pick<
+    NucleusVoterProfileCardFields,
+    'ageRange' | 'incomeBand' | 'occupation' | 'localTraits' | 'notes'
+  >
+}) => (
+  <>
+    {profile.ageRange ? <p>Faixa etária: {profile.ageRange}</p> : null}
+    {profile.incomeBand ? <p>Renda: {profile.incomeBand}</p> : null}
+    {profile.occupation ? <p>Ocupação: {profile.occupation}</p> : null}
+    {profile.localTraits ? <p>{profile.localTraits}</p> : null}
+    {profile.notes ? <p className="text-muted-foreground">{profile.notes}</p> : null}
+  </>
+)
+
+export const NucleusManualVoterProfileCard = ({
+  profile,
+}: {
+  profile: NucleusVoterProfileCardFields
+}) => (
+  <Card>
+    <CardHeader>
+      <CardTitle>{profile.label}</CardTitle>
+    </CardHeader>
+    <CardContent className="flex flex-col gap-2 text-sm">
+      <NucleusVoterProfileCardBody profile={profile} />
+    </CardContent>
+  </Card>
+)
diff --git a/src/lib/bahiaMunicipalityDemographics.ts b/src/lib/bahiaMunicipalityDemographics.ts
new file mode 100644
index 00000000..b160cc24
--- /dev/null
+++ b/src/lib/bahiaMunicipalityDemographics.ts
@@ -0,0 +1,487 @@
+/**
+ * IBGE Censo 2022 municipality demographics for Bahia (codarea → indicators).
+ *
+ * Source (SIDRA table 9514 — população por idade, UF BA N6; accessed 2026-07-20):
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6572
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6573
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6574
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6575
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6576
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6577
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6578
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6579
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6580
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6581
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/6653
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/49108
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/49109
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/60040
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/60041
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93070
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93084
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93085
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93088
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93089
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93090
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93091
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93092
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93093
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93094
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93095
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93096
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93097
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/6794/c287/93098
+ * Download SHA-256: f86bf59de0d8afb5d61e49c9d839846f185d12774fa802db160ca912bb7c7ee1, 1881dc8e9162aa54fde56dfa027d53b84e46991b2400899a8cd8deaae9aacf46, 9a2ecd1e0f11d998d7c1966f78cc97ed758509d9f33fb269f63b39edf60ed0f4, 50e4863e19ec51df03edf2f4957ea0627d995dd4ed76ce459ea4174850cf54b3, 4cce7d106470128fea1e34d9c1c00ab71eee3395930e873129f354c6854e156e, 89d0f4db58500307f569d031b629e7566a360f8372345cb531c023d0f292f0b2, aa87fb15cc10e363847a73e2d472b0e119618adf501fcc4c973b7b330b8404dd, 470e5d2469a23c9c8555ea1d12b2a6f63d74229ad6ea00e9abf3140cd4816519, cb249824f40eb32167dd3518468be9f55146be60192ea66819102d18d1321e7d, 53fa99084b8c11e8afa39ffb1d91f9d6fc6b8fab853b0a04d9b9e8f33eff96c0, 4019a6c9b7be17b3e2a534f58f7522356c67466a9ff10abdd9bf77df81ef4ae4, 0f690efc75538ca79f15527525abcc5dcad89986a937320e1d5b1c25da0b1a2e, c504ecf6fa661d81f42094d0c92dc92b014af87f67265c3063d20f21350b494c, 3ea94b58779460035f8ec4cf34532eb96f9b8af136889c1a8ad840572ec88c4a, cac9ce52a4a175823fceccb35fc96c2bc36ff6aec1ce94af884523cee81247b7, 1012e2f02dd54c33aa1a3611d748e7cd889982e9124090e65591f4975c7b6fed, b6f3d4831499be4b7ec77b9f49fcf02da1a6357d7c96676c2349c45a7fb1665e, 513508fa7f32cce520f3b245c5e3ab339c5418403b09b1bfab930818617b8db7, bb1034d2e52ae3dc0f30c5ec70b49a002633c18b7bc8b642ff9246f00493146e, c430366cc2c66cacd848103590071d5fe22e564c46d5c43534d5baadb12927ce, 5831f5d92a82bd4c22c3d7a188a400a59d2835fa63331e7a31a6e0411c6a48c4, d7339f8216e85bb68911d039096336756190f6149434a73ce9e3f500c36c641f, 72dbaddff14e5d400e770fb92c84e32798b2e83759e51c05ffdeefadb591a60d, f113609923f9a0020c23cb57c576e280a4435a4b45d4a5a83c502db89e7ecabd, 7c6527c1cdede87a2fa7a34c893d0e275c692138ec1bfdca2fa0e17a131ec058, 29d515dedd5a339086eb94131efb2027c4e63f127af1e26ccb09f1710989093e, f9986ea56489a6ed4a335edbe3450ebb19c2db619f36a40a62bfeb3e19f9388d, 89777d7ba67ebed6039bc8745b759a776783d4448c1ab1f3a1df84a56ee01e59, c6d239a370853f014afd3cf9ddacb6ae2c3268eec2c36c4b509eaf046ccbb724
+ *
+ * Source (SIDRA table 9514 — população feminina total, UF BA N6; accessed 2026-07-20):
+ * https://apisidra.ibge.gov.br/values/t/9514/n3/29/n6/all/v/93/p/2022/c2/5/c287/100362
+ * Download SHA-256: 818eb751d25f88345de96772f25f77022c16cc849da43ececd528566cb85ff6c
+ *
+ * Source (SIDRA table 9515 — idade mediana, UF BA N6; accessed 2026-07-20):
+ * https://apisidra.ibge.gov.br/values/t/9515/n3/29/n6/all/v/10613/p/2022
+ * Download SHA-256: 6eac88bf0963ff529addf390d9cf36fdad70f8d923923cf925251a500583d241
+ *
+ * Age bands aggregate SIDRA classification 287 categories documented in scripts/build-bahia-demographics.mjs.
+ * Coverage is independently checked by tests/fixtures/bahia-municipality-demographics.official.json.
+ */
+
+import { codeForMunicipality } from '@/lib/bahiaMunicipalityCodes'
+
+export type MunicipalityAgeBandKey = '0-17' | '18-29' | '30-59' | '60+'
+
+export type MunicipalityDemographics = {
+  population: number
+  ageBands: Record<MunicipalityAgeBandKey, number>
+  sexShareFemale: number
+  medianAge: number | null
+}
+
+export const bahiaMunicipalityDemographics: Readonly<Record<string, MunicipalityDemographics>> = {
+  "2900108": { population: 7301, ageBands: { "0-17": 1356, "18-29": 967, "30-59": 3015, "60+": 1963 }, sexShareFemale: 0.511574, medianAge: 43 },
+  "2900207": { population: 17639, ageBands: { "0-17": 5376, "18-29": 3442, "30-59": 6579, "60+": 2242 }, sexShareFemale: 0.506605, medianAge: 30 },
+  "2900306": { population: 13795, ageBands: { "0-17": 3667, "18-29": 2485, "30-59": 5356, "60+": 2287 }, sexShareFemale: 0.511997, medianAge: 34 },
+  "2900355": { population: 14201, ageBands: { "0-17": 3316, "18-29": 2711, "30-59": 5877, "60+": 2297 }, sexShareFemale: 0.502218, medianAge: 34 },
+  "2900405": { population: 14497, ageBands: { "0-17": 3485, "18-29": 2511, "30-59": 5845, "60+": 2656 }, sexShareFemale: 0.514313, medianAge: 36 },
+  "2900504": { population: 10604, ageBands: { "0-17": 2243, "18-29": 1992, "30-59": 4376, "60+": 1993 }, sexShareFemale: 0.501603, medianAge: 36 },
+  "2900603": { population: 4447, ageBands: { "0-17": 1076, "18-29": 726, "30-59": 1794, "60+": 851 }, sexShareFemale: 0.501462, medianAge: 37 },
+  "2900702": { population: 151055, ageBands: { "0-17": 36332, "18-29": 26395, "30-59": 66436, "60+": 21892 }, sexShareFemale: 0.531727, medianAge: 35 },
+  "2900801": { population: 24530, ageBands: { "0-17": 6863, "18-29": 4117, "30-59": 9751, "60+": 3799 }, sexShareFemale: 0.495516, medianAge: 33 },
+  "2900900": { population: 5218, ageBands: { "0-17": 1198, "18-29": 754, "30-59": 2104, "60+": 1162 }, sexShareFemale: 0.510349, medianAge: 39 },
+  "2901007": { population: 36521, ageBands: { "0-17": 8711, "18-29": 7045, "30-59": 14851, "60+": 5914 }, sexShareFemale: 0.518880, medianAge: 34 },
+  "2901106": { population: 24138, ageBands: { "0-17": 5818, "18-29": 4102, "30-59": 10226, "60+": 3992 }, sexShareFemale: 0.533640, medianAge: 36 },
+  "2901155": { population: 15137, ageBands: { "0-17": 4383, "18-29": 2683, "30-59": 5767, "60+": 2304 }, sexShareFemale: 0.495937, medianAge: 32 },
+  "2901205": { population: 25438, ageBands: { "0-17": 5762, "18-29": 4079, "30-59": 10162, "60+": 5435 }, sexShareFemale: 0.496580, medianAge: 38 },
+  "2901304": { population: 13080, ageBands: { "0-17": 3491, "18-29": 2448, "30-59": 5117, "60+": 2024 }, sexShareFemale: 0.498089, medianAge: 33 },
+  "2901353": { population: 15012, ageBands: { "0-17": 3542, "18-29": 2696, "30-59": 6354, "60+": 2420 }, sexShareFemale: 0.502598, medianAge: 35 },
+  "2901403": { population: 13732, ageBands: { "0-17": 3625, "18-29": 2371, "30-59": 5438, "60+": 2298 }, sexShareFemale: 0.485071, medianAge: 34 },
+  "2901502": { population: 11031, ageBands: { "0-17": 2503, "18-29": 2002, "30-59": 4679, "60+": 1847 }, sexShareFemale: 0.510652, medianAge: 36 },
+  "2901601": { population: 14206, ageBands: { "0-17": 2896, "18-29": 2648, "30-59": 6059, "60+": 2603 }, sexShareFemale: 0.498381, medianAge: 36 },
+  "2901700": { population: 11146, ageBands: { "0-17": 3011, "18-29": 2091, "30-59": 4351, "60+": 1693 }, sexShareFemale: 0.514265, medianAge: 32 },
+  "2901809": { population: 10862, ageBands: { "0-17": 2779, "18-29": 1916, "30-59": 4451, "60+": 1716 }, sexShareFemale: 0.499632, medianAge: 34 },
+  "2901908": { population: 15922, ageBands: { "0-17": 4037, "18-29": 2834, "30-59": 6279, "60+": 2772 }, sexShareFemale: 0.496608, medianAge: 35 },
+  "2901957": { population: 6913, ageBands: { "0-17": 1775, "18-29": 1195, "30-59": 2661, "60+": 1282 }, sexShareFemale: 0.496167, medianAge: 35 },
+  "2902005": { population: 13936, ageBands: { "0-17": 3211, "18-29": 2304, "30-59": 5656, "60+": 2765 }, sexShareFemale: 0.489165, medianAge: 37 },
+  "2902054": { population: 11557, ageBands: { "0-17": 3203, "18-29": 2310, "30-59": 4642, "60+": 1402 }, sexShareFemale: 0.516916, medianAge: 31 },
+  "2902104": { population: 48294, ageBands: { "0-17": 13010, "18-29": 9431, "30-59": 18633, "60+": 7220 }, sexShareFemale: 0.501097, medianAge: 32 },
+  "2902203": { population: 9833, ageBands: { "0-17": 2429, "18-29": 1786, "30-59": 4131, "60+": 1487 }, sexShareFemale: 0.515916, medianAge: 35 },
+  "2902252": { population: 10191, ageBands: { "0-17": 2737, "18-29": 1869, "30-59": 3985, "60+": 1600 }, sexShareFemale: 0.472181, medianAge: 33 },
+  "2902302": { population: 8677, ageBands: { "0-17": 2261, "18-29": 1602, "30-59": 3639, "60+": 1175 }, sexShareFemale: 0.495448, medianAge: 33 },
+  "2902401": { population: 11179, ageBands: { "0-17": 3258, "18-29": 1881, "30-59": 4287, "60+": 1753 }, sexShareFemale: 0.507738, medianAge: 33 },
+  "2902500": { population: 13614, ageBands: { "0-17": 3668, "18-29": 2449, "30-59": 5297, "60+": 2200 }, sexShareFemale: 0.485897, medianAge: 33 },
+  "2902609": { population: 18220, ageBands: { "0-17": 4500, "18-29": 3192, "30-59": 7054, "60+": 3474 }, sexShareFemale: 0.503238, medianAge: 36 },
+  "2902658": { population: 11958, ageBands: { "0-17": 3360, "18-29": 2096, "30-59": 4583, "60+": 1919 }, sexShareFemale: 0.496153, medianAge: 33 },
+  "2902708": { population: 51092, ageBands: { "0-17": 16288, "18-29": 9907, "30-59": 18520, "60+": 6377 }, sexShareFemale: 0.491290, medianAge: 29 },
+  "2902807": { population: 26026, ageBands: { "0-17": 6778, "18-29": 5221, "30-59": 10605, "60+": 3422 }, sexShareFemale: 0.495504, medianAge: 32 },
+  "2902906": { population: 36539, ageBands: { "0-17": 10124, "18-29": 6696, "30-59": 14500, "60+": 5219 }, sexShareFemale: 0.507540, medianAge: 32 },
+  "2903003": { population: 13836, ageBands: { "0-17": 3320, "18-29": 2314, "30-59": 5383, "60+": 2819 }, sexShareFemale: 0.495302, medianAge: 37 },
+  "2903102": { population: 5775, ageBands: { "0-17": 1469, "18-29": 919, "30-59": 2377, "60+": 1010 }, sexShareFemale: 0.477576, medianAge: 36 },
+  "2903201": { population: 159734, ageBands: { "0-17": 43478, "18-29": 32658, "30-59": 67612, "60+": 15986 }, sexShareFemale: 0.510943, medianAge: 31 },
+  "2903235": { population: 13453, ageBands: { "0-17": 3375, "18-29": 2431, "30-59": 5434, "60+": 2213 }, sexShareFemale: 0.494908, medianAge: 35 },
+  "2903276": { population: 15203, ageBands: { "0-17": 4005, "18-29": 2742, "30-59": 6371, "60+": 2085 }, sexShareFemale: 0.505558, medianAge: 33 },
+  "2903300": { population: 5833, ageBands: { "0-17": 1354, "18-29": 955, "30-59": 2420, "60+": 1104 }, sexShareFemale: 0.499914, medianAge: 37 },
+  "2903409": { population: 20121, ageBands: { "0-17": 5662, "18-29": 3459, "30-59": 7881, "60+": 3119 }, sexShareFemale: 0.496446, medianAge: 33 },
+  "2903508": { population: 18412, ageBands: { "0-17": 4472, "18-29": 3144, "30-59": 7193, "60+": 3603 }, sexShareFemale: 0.501195, medianAge: 36 },
+  "2903607": { population: 15146, ageBands: { "0-17": 3852, "18-29": 2663, "30-59": 6108, "60+": 2523 }, sexShareFemale: 0.497425, medianAge: 34 },
+  "2903706": { population: 13690, ageBands: { "0-17": 3430, "18-29": 2343, "30-59": 5196, "60+": 2721 }, sexShareFemale: 0.501899, medianAge: 35 },
+  "2903805": { population: 16873, ageBands: { "0-17": 4650, "18-29": 2774, "30-59": 6506, "60+": 2943 }, sexShareFemale: 0.492977, medianAge: 34 },
+  "2903904": { population: 65550, ageBands: { "0-17": 18854, "18-29": 12667, "30-59": 25605, "60+": 8424 }, sexShareFemale: 0.509260, medianAge: 31 },
+  "2903953": { population: 9730, ageBands: { "0-17": 2415, "18-29": 1810, "30-59": 3754, "60+": 1751 }, sexShareFemale: 0.483864, medianAge: 34 },
+  "2904001": { population: 13622, ageBands: { "0-17": 3496, "18-29": 2319, "30-59": 5329, "60+": 2478 }, sexShareFemale: 0.510277, medianAge: 35 },
+  "2904050": { population: 15844, ageBands: { "0-17": 4686, "18-29": 3410, "30-59": 6066, "60+": 1682 }, sexShareFemale: 0.500063, medianAge: 29 },
+  "2904100": { population: 19322, ageBands: { "0-17": 4699, "18-29": 3340, "30-59": 7484, "60+": 3799 }, sexShareFemale: 0.508074, medianAge: 36 },
+  "2904209": { population: 11024, ageBands: { "0-17": 2518, "18-29": 2083, "30-59": 4374, "60+": 2049 }, sexShareFemale: 0.497823, medianAge: 35 },
+  "2904308": { population: 12943, ageBands: { "0-17": 3268, "18-29": 2213, "30-59": 5124, "60+": 2338 }, sexShareFemale: 0.507997, medianAge: 35 },
+  "2904407": { population: 9108, ageBands: { "0-17": 2222, "18-29": 1300, "30-59": 3758, "60+": 1828 }, sexShareFemale: 0.485617, medianAge: 38 },
+  "2904506": { population: 11765, ageBands: { "0-17": 2906, "18-29": 1833, "30-59": 4489, "60+": 2537 }, sexShareFemale: 0.487123, medianAge: 37 },
+  "2904605": { population: 70510, ageBands: { "0-17": 16094, "18-29": 12337, "30-59": 30638, "60+": 11441 }, sexShareFemale: 0.512523, medianAge: 36 },
+  "2904704": { population: 14804, ageBands: { "0-17": 3609, "18-29": 2298, "30-59": 5830, "60+": 3067 }, sexShareFemale: 0.512497, medianAge: 37 },
+  "2904753": { population: 19589, ageBands: { "0-17": 5733, "18-29": 3806, "30-59": 7509, "60+": 2541 }, sexShareFemale: 0.479249, medianAge: 30 },
+  "2904803": { population: 6205, ageBands: { "0-17": 1435, "18-29": 1001, "30-59": 2627, "60+": 1142 }, sexShareFemale: 0.486382, medianAge: 37 },
+  "2904852": { population: 16559, ageBands: { "0-17": 4683, "18-29": 3292, "30-59": 6318, "60+": 2266 }, sexShareFemale: 0.517362, medianAge: 31 },
+  "2904902": { population: 29250, ageBands: { "0-17": 7030, "18-29": 5402, "30-59": 12121, "60+": 4697 }, sexShareFemale: 0.521846, medianAge: 35 },
+  "2905008": { population: 22462, ageBands: { "0-17": 5044, "18-29": 3987, "30-59": 9293, "60+": 4138 }, sexShareFemale: 0.506411, medianAge: 36 },
+  "2905107": { population: 10384, ageBands: { "0-17": 2806, "18-29": 1890, "30-59": 3948, "60+": 1740 }, sexShareFemale: 0.503948, medianAge: 33 },
+  "2905156": { population: 11266, ageBands: { "0-17": 2663, "18-29": 1921, "30-59": 4556, "60+": 2126 }, sexShareFemale: 0.488638, medianAge: 36 },
+  "2905206": { population: 52012, ageBands: { "0-17": 12293, "18-29": 9487, "30-59": 21605, "60+": 8627 }, sexShareFemale: 0.508979, medianAge: 34 },
+  "2905305": { population: 17466, ageBands: { "0-17": 4890, "18-29": 3328, "30-59": 6865, "60+": 2383 }, sexShareFemale: 0.494733, medianAge: 32 },
+  "2905404": { population: 17761, ageBands: { "0-17": 4887, "18-29": 3701, "30-59": 7453, "60+": 1720 }, sexShareFemale: 0.510669, medianAge: 30 },
+  "2905503": { population: 13080, ageBands: { "0-17": 3634, "18-29": 2411, "30-59": 5006, "60+": 2029 }, sexShareFemale: 0.506040, medianAge: 32 },
+  "2905602": { population: 22579, ageBands: { "0-17": 6159, "18-29": 3892, "30-59": 8514, "60+": 4014 }, sexShareFemale: 0.513265, medianAge: 34 },
+  "2905701": { population: 300372, ageBands: { "0-17": 77870, "18-29": 53220, "30-59": 136559, "60+": 32723 }, sexShareFemale: 0.519696, medianAge: 34 },
+  "2905800": { population: 30469, ageBands: { "0-17": 9565, "18-29": 5474, "30-59": 11196, "60+": 4234 }, sexShareFemale: 0.510289, medianAge: 30 },
+  "2905909": { population: 30671, ageBands: { "0-17": 9034, "18-29": 5266, "30-59": 11674, "60+": 4697 }, sexShareFemale: 0.493952, medianAge: 32 },
+  "2906006": { population: 71377, ageBands: { "0-17": 19162, "18-29": 13848, "30-59": 28262, "60+": 10105 }, sexShareFemale: 0.502711, medianAge: 32 },
+  "2906105": { population: 10225, ageBands: { "0-17": 2785, "18-29": 1866, "30-59": 3882, "60+": 1692 }, sexShareFemale: 0.481174, medianAge: 33 },
+  "2906204": { population: 24206, ageBands: { "0-17": 6536, "18-29": 4573, "30-59": 9467, "60+": 3630 }, sexShareFemale: 0.501983, medianAge: 33 },
+  "2906303": { population: 32683, ageBands: { "0-17": 8439, "18-29": 5498, "30-59": 13139, "60+": 5607 }, sexShareFemale: 0.500382, medianAge: 35 },
+  "2906402": { population: 7772, ageBands: { "0-17": 1763, "18-29": 1350, "30-59": 3112, "60+": 1547 }, sexShareFemale: 0.502316, medianAge: 38 },
+  "2906501": { population: 72382, ageBands: { "0-17": 17722, "18-29": 12420, "30-59": 32220, "60+": 10020 }, sexShareFemale: 0.531334, medianAge: 35 },
+  "2906600": { population: 13016, ageBands: { "0-17": 2868, "18-29": 2002, "30-59": 5390, "60+": 2756 }, sexShareFemale: 0.497849, medianAge: 38 },
+  "2906709": { population: 25247, ageBands: { "0-17": 6386, "18-29": 4170, "30-59": 10177, "60+": 4514 }, sexShareFemale: 0.502515, medianAge: 36 },
+  "2906808": { population: 37439, ageBands: { "0-17": 9773, "18-29": 7548, "30-59": 14553, "60+": 5565 }, sexShareFemale: 0.497182, medianAge: 32 },
+  "2906824": { population: 16105, ageBands: { "0-17": 4539, "18-29": 2813, "30-59": 6332, "60+": 2421 }, sexShareFemale: 0.494753, medianAge: 33 },
+  "2906857": { population: 10744, ageBands: { "0-17": 2284, "18-29": 1658, "30-59": 4455, "60+": 2347 }, sexShareFemale: 0.502699, medianAge: 39 },
+  "2906873": { population: 33235, ageBands: { "0-17": 8822, "18-29": 6196, "30-59": 13457, "60+": 4760 }, sexShareFemale: 0.513886, medianAge: 33 },
+  "2906899": { population: 9940, ageBands: { "0-17": 2229, "18-29": 1553, "30-59": 3837, "60+": 2321 }, sexShareFemale: 0.492656, medianAge: 39 },
+  "2906907": { population: 20580, ageBands: { "0-17": 5638, "18-29": 3633, "30-59": 8060, "60+": 3249 }, sexShareFemale: 0.501555, medianAge: 33 },
+  "2907004": { population: 8365, ageBands: { "0-17": 2457, "18-29": 1700, "30-59": 3231, "60+": 977 }, sexShareFemale: 0.516916, medianAge: 30 },
+  "2907103": { population: 28869, ageBands: { "0-17": 8498, "18-29": 5315, "30-59": 11113, "60+": 3943 }, sexShareFemale: 0.489764, medianAge: 31 },
+  "2907202": { population: 72086, ageBands: { "0-17": 20699, "18-29": 13940, "30-59": 27931, "60+": 9516 }, sexShareFemale: 0.488652, medianAge: 31 },
+  "2907301": { population: 24712, ageBands: { "0-17": 5938, "18-29": 4382, "30-59": 10385, "60+": 4007 }, sexShareFemale: 0.526020, medianAge: 35 },
+  "2907400": { population: 3434, ageBands: { "0-17": 941, "18-29": 491, "30-59": 1359, "60+": 643 }, sexShareFemale: 0.481072, medianAge: 36 },
+  "2907509": { population: 48148, ageBands: { "0-17": 11182, "18-29": 7790, "30-59": 21652, "60+": 7524 }, sexShareFemale: 0.532836, medianAge: 37 },
+  "2907558": { population: 8841, ageBands: { "0-17": 1939, "18-29": 1513, "30-59": 3584, "60+": 1805 }, sexShareFemale: 0.491460, medianAge: 37 },
+  "2907608": { population: 16348, ageBands: { "0-17": 4218, "18-29": 2710, "30-59": 6514, "60+": 2906 }, sexShareFemale: 0.493883, medianAge: 35 },
+  "2907707": { population: 10579, ageBands: { "0-17": 2990, "18-29": 2045, "30-59": 3957, "60+": 1587 }, sexShareFemale: 0.494092, medianAge: 31 },
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+  "2928208": { population: 24755, ageBands: { "0-17": 6150, "18-29": 4178, "30-59": 9756, "60+": 4671 }, sexShareFemale: 0.491699, medianAge: 36 },
+  "2928307": { population: 8716, ageBands: { "0-17": 2172, "18-29": 1504, "30-59": 3463, "60+": 1577 }, sexShareFemale: 0.525585, medianAge: 35 },
+  "2928406": { population: 27390, ageBands: { "0-17": 7900, "18-29": 4755, "30-59": 10291, "60+": 4444 }, sexShareFemale: 0.488682, medianAge: 32 },
+  "2928505": { population: 10441, ageBands: { "0-17": 2460, "18-29": 1813, "30-59": 4253, "60+": 1915 }, sexShareFemale: 0.516521, medianAge: 36 },
+  "2928604": { population: 56012, ageBands: { "0-17": 12937, "18-29": 9190, "30-59": 24240, "60+": 9645 }, sexShareFemale: 0.529101, medianAge: 37 },
+  "2928703": { population: 103055, ageBands: { "0-17": 24024, "18-29": 19620, "30-59": 46527, "60+": 12884 }, sexShareFemale: 0.533404, medianAge: 34 },
+  "2928802": { population: 52276, ageBands: { "0-17": 14362, "18-29": 9903, "30-59": 20635, "60+": 7376 }, sexShareFemale: 0.525710, medianAge: 32 },
+  "2928901": { population: 32828, ageBands: { "0-17": 9933, "18-29": 6779, "30-59": 12659, "60+": 3457 }, sexShareFemale: 0.485957, medianAge: 29 },
+  "2928950": { population: 8426, ageBands: { "0-17": 1860, "18-29": 1308, "30-59": 3544, "60+": 1714 }, sexShareFemale: 0.508782, medianAge: 39 },
+  "2929008": { population: 11026, ageBands: { "0-17": 2535, "18-29": 1896, "30-59": 4763, "60+": 1832 }, sexShareFemale: 0.522492, medianAge: 37 },
+  "2929057": { population: 15194, ageBands: { "0-17": 4161, "18-29": 2746, "30-59": 6156, "60+": 2131 }, sexShareFemale: 0.500856, medianAge: 33 },
+  "2929107": { population: 20283, ageBands: { "0-17": 4511, "18-29": 3369, "30-59": 8968, "60+": 3435 }, sexShareFemale: 0.511956, medianAge: 37 },
+  "2929206": { population: 38733, ageBands: { "0-17": 10176, "18-29": 7243, "30-59": 16858, "60+": 4456 }, sexShareFemale: 0.529987, medianAge: 33 },
+  "2929255": { population: 18600, ageBands: { "0-17": 4879, "18-29": 3238, "30-59": 7572, "60+": 2911 }, sexShareFemale: 0.492097, medianAge: 34 },
+  "2929305": { population: 39513, ageBands: { "0-17": 10143, "18-29": 7110, "30-59": 17096, "60+": 5164 }, sexShareFemale: 0.527953, medianAge: 34 },
+  "2929354": { population: 5315, ageBands: { "0-17": 1392, "18-29": 856, "30-59": 2106, "60+": 961 }, sexShareFemale: 0.496143, medianAge: 35 },
+  "2929370": { population: 10187, ageBands: { "0-17": 2662, "18-29": 1744, "30-59": 4021, "60+": 1760 }, sexShareFemale: 0.505252, medianAge: 35 },
+  "2929404": { population: 10334, ageBands: { "0-17": 2343, "18-29": 1877, "30-59": 4357, "60+": 1757 }, sexShareFemale: 0.500194, medianAge: 36 },
+  "2929503": { population: 40958, ageBands: { "0-17": 9638, "18-29": 6922, "30-59": 18061, "60+": 6337 }, sexShareFemale: 0.526515, medianAge: 36 },
+  "2929602": { population: 17963, ageBands: { "0-17": 4220, "18-29": 3154, "30-59": 7793, "60+": 2796 }, sexShareFemale: 0.517787, medianAge: 35 },
+  "2929701": { population: 16008, ageBands: { "0-17": 4337, "18-29": 3039, "30-59": 6143, "60+": 2489 }, sexShareFemale: 0.505185, medianAge: 33 },
+  "2929750": { population: 11438, ageBands: { "0-17": 2680, "18-29": 1702, "30-59": 4912, "60+": 2144 }, sexShareFemale: 0.525616, medianAge: 38 },
+  "2929800": { population: 10478, ageBands: { "0-17": 2676, "18-29": 1648, "30-59": 4134, "60+": 2020 }, sexShareFemale: 0.511739, medianAge: 37 },
+  "2929909": { population: 46160, ageBands: { "0-17": 12172, "18-29": 9073, "30-59": 18310, "60+": 6605 }, sexShareFemale: 0.512630, medianAge: 32 },
+  "2930006": { population: 9360, ageBands: { "0-17": 2288, "18-29": 1482, "30-59": 3887, "60+": 1703 }, sexShareFemale: 0.494872, medianAge: 36 },
+  "2930105": { population: 74523, ageBands: { "0-17": 18886, "18-29": 13064, "30-59": 30939, "60+": 11634 }, sexShareFemale: 0.522000, medianAge: 35 },
+  "2930154": { population: 34222, ageBands: { "0-17": 10616, "18-29": 6288, "30-59": 12769, "60+": 4549 }, sexShareFemale: 0.492344, medianAge: 30 },
+  "2930204": { population: 38154, ageBands: { "0-17": 11650, "18-29": 7029, "30-59": 14519, "60+": 4956 }, sexShareFemale: 0.484222, medianAge: 30 },
+  "2930303": { population: 17066, ageBands: { "0-17": 4213, "18-29": 2601, "30-59": 7036, "60+": 3216 }, sexShareFemale: 0.487402, medianAge: 37 },
+  "2930402": { population: 17996, ageBands: { "0-17": 4098, "18-29": 3260, "30-59": 7259, "60+": 3379 }, sexShareFemale: 0.516948, medianAge: 36 },
+  "2930501": { population: 80435, ageBands: { "0-17": 20421, "18-29": 14858, "30-59": 33908, "60+": 11248 }, sexShareFemale: 0.521713, medianAge: 34 },
+  "2930600": { population: 13335, ageBands: { "0-17": 3263, "18-29": 2123, "30-59": 5462, "60+": 2487 }, sexShareFemale: 0.511961, medianAge: 36 },
+  "2930709": { population: 114559, ageBands: { "0-17": 30150, "18-29": 21250, "30-59": 49829, "60+": 13330 }, sexShareFemale: 0.525066, medianAge: 33 },
+  "2930758": { population: 13408, ageBands: { "0-17": 4262, "18-29": 2584, "30-59": 4919, "60+": 1643 }, sexShareFemale: 0.486202, medianAge: 29 },
+  "2930766": { population: 14773, ageBands: { "0-17": 3313, "18-29": 2879, "30-59": 6003, "60+": 2578 }, sexShareFemale: 0.492656, medianAge: 35 },
+  "2930774": { population: 25475, ageBands: { "0-17": 7335, "18-29": 4907, "30-59": 9788, "60+": 3445 }, sexShareFemale: 0.510304, medianAge: 31 },
+  "2930808": { population: 17054, ageBands: { "0-17": 4591, "18-29": 3574, "30-59": 6586, "60+": 2303 }, sexShareFemale: 0.500938, medianAge: 31 },
+  "2930907": { population: 11979, ageBands: { "0-17": 3077, "18-29": 2168, "30-59": 4717, "60+": 2017 }, sexShareFemale: 0.484515, medianAge: 34 },
+  "2931004": { population: 21006, ageBands: { "0-17": 4843, "18-29": 3502, "30-59": 8884, "60+": 3777 }, sexShareFemale: 0.498429, medianAge: 36 },
+  "2931053": { population: 17158, ageBands: { "0-17": 4318, "18-29": 3272, "30-59": 6763, "60+": 2805 }, sexShareFemale: 0.501748, medianAge: 34 },
+  "2931103": { population: 7717, ageBands: { "0-17": 1790, "18-29": 1441, "30-59": 3047, "60+": 1439 }, sexShareFemale: 0.514189, medianAge: 36 },
+  "2931202": { population: 18044, ageBands: { "0-17": 5161, "18-29": 3267, "30-59": 7136, "60+": 2480 }, sexShareFemale: 0.501607, medianAge: 32 },
+  "2931301": { population: 15818, ageBands: { "0-17": 4528, "18-29": 3137, "30-59": 6110, "60+": 2043 }, sexShareFemale: 0.504046, medianAge: 30 },
+  "2931350": { population: 145216, ageBands: { "0-17": 38258, "18-29": 27127, "30-59": 60099, "60+": 19732 }, sexShareFemale: 0.517932, medianAge: 33 },
+  "2931400": { population: 7110, ageBands: { "0-17": 1549, "18-29": 1254, "30-59": 3075, "60+": 1232 }, sexShareFemale: 0.517018, medianAge: 37 },
+  "2931509": { population: 21176, ageBands: { "0-17": 5630, "18-29": 3878, "30-59": 8528, "60+": 3140 }, sexShareFemale: 0.507934, medianAge: 33 },
+  "2931608": { population: 15332, ageBands: { "0-17": 4259, "18-29": 3162, "30-59": 5984, "60+": 1927 }, sexShareFemale: 0.485977, medianAge: 30 },
+  "2931707": { population: 10798, ageBands: { "0-17": 2564, "18-29": 1991, "30-59": 4453, "60+": 1790 }, sexShareFemale: 0.525097, medianAge: 36 },
+  "2931806": { population: 16296, ageBands: { "0-17": 3577, "18-29": 2457, "30-59": 6580, "60+": 3682 }, sexShareFemale: 0.496011, medianAge: 39 },
+  "2931905": { population: 48736, ageBands: { "0-17": 11712, "18-29": 8456, "30-59": 20426, "60+": 8142 }, sexShareFemale: 0.504473, medianAge: 35 },
+  "2932002": { population: 24665, ageBands: { "0-17": 6078, "18-29": 3846, "30-59": 10122, "60+": 4619 }, sexShareFemale: 0.495358, medianAge: 37 },
+  "2932101": { population: 18626, ageBands: { "0-17": 4584, "18-29": 2884, "30-59": 7755, "60+": 3403 }, sexShareFemale: 0.500376, medianAge: 36 },
+  "2932200": { population: 17596, ageBands: { "0-17": 4817, "18-29": 2960, "30-59": 6939, "60+": 2880 }, sexShareFemale: 0.519152, medianAge: 34 },
+  "2932309": { population: 16094, ageBands: { "0-17": 4226, "18-29": 2569, "30-59": 6244, "60+": 3055 }, sexShareFemale: 0.516341, medianAge: 36 },
+  "2932408": { population: 13432, ageBands: { "0-17": 3027, "18-29": 2220, "30-59": 5784, "60+": 2401 }, sexShareFemale: 0.494491, medianAge: 37 },
+  "2932457": { population: 13642, ageBands: { "0-17": 3899, "18-29": 2529, "30-59": 5398, "60+": 1816 }, sexShareFemale: 0.489811, medianAge: 31 },
+  "2932507": { population: 18131, ageBands: { "0-17": 4663, "18-29": 2805, "30-59": 7350, "60+": 3313 }, sexShareFemale: 0.498924, medianAge: 36 },
+  "2932606": { population: 15355, ageBands: { "0-17": 3538, "18-29": 2654, "30-59": 6316, "60+": 2847 }, sexShareFemale: 0.499446, medianAge: 36 },
+  "2932705": { population: 21420, ageBands: { "0-17": 5858, "18-29": 3578, "30-59": 8632, "60+": 3352 }, sexShareFemale: 0.506676, medianAge: 34 },
+  "2932804": { population: 16277, ageBands: { "0-17": 4420, "18-29": 3058, "30-59": 6391, "60+": 2408 }, sexShareFemale: 0.504331, medianAge: 32 },
+  "2932903": { population: 85655, ageBands: { "0-17": 21598, "18-29": 15646, "30-59": 36102, "60+": 12309 }, sexShareFemale: 0.518300, medianAge: 34 },
+  "2933000": { population: 24362, ageBands: { "0-17": 5751, "18-29": 4019, "30-59": 10544, "60+": 4048 }, sexShareFemale: 0.514572, medianAge: 36 },
+  "2933059": { population: 13800, ageBands: { "0-17": 3216, "18-29": 2383, "30-59": 5587, "60+": 2614 }, sexShareFemale: 0.506087, medianAge: 36 },
+  "2933109": { population: 8101, ageBands: { "0-17": 1821, "18-29": 1277, "30-59": 3360, "60+": 1643 }, sexShareFemale: 0.508209, medianAge: 38 },
+  "2933158": { population: 13377, ageBands: { "0-17": 3639, "18-29": 2296, "30-59": 5255, "60+": 2187 }, sexShareFemale: 0.501682, medianAge: 33 },
+  "2933174": { population: 9913, ageBands: { "0-17": 2288, "18-29": 1704, "30-59": 4281, "60+": 1640 }, sexShareFemale: 0.502169, medianAge: 36 },
+  "2933208": { population: 42529, ageBands: { "0-17": 9661, "18-29": 6943, "30-59": 18070, "60+": 7855 }, sexShareFemale: 0.516259, medianAge: 38 },
+  "2933257": { population: 6003, ageBands: { "0-17": 1473, "18-29": 948, "30-59": 2415, "60+": 1167 }, sexShareFemale: 0.480260, medianAge: 37 },
+  "2933307": { population: 370879, ageBands: { "0-17": 91170, "18-29": 72665, "30-59": 155901, "60+": 51143 }, sexShareFemale: 0.521647, medianAge: 33 },
+  "2933406": { population: 9503, ageBands: { "0-17": 2349, "18-29": 1844, "30-59": 3800, "60+": 1510 }, sexShareFemale: 0.507840, medianAge: 33 },
+  "2933455": { population: 12968, ageBands: { "0-17": 3510, "18-29": 2406, "30-59": 5052, "60+": 2000 }, sexShareFemale: 0.481801, medianAge: 33 },
+  "2933505": { population: 24474, ageBands: { "0-17": 7100, "18-29": 4356, "30-59": 9740, "60+": 3278 }, sexShareFemale: 0.492972, medianAge: 32 },
+  "2933604": { population: 44757, ageBands: { "0-17": 13790, "18-29": 8312, "30-59": 16418, "60+": 6237 }, sexShareFemale: 0.511026, medianAge: 30 },
+}
+
+export const demographicsForCode = (codarea: string): MunicipalityDemographics | undefined =>
+  bahiaMunicipalityDemographics[codarea]
+
+export const demographicsForMunicipalityName = (
+  municipality: string,
+): MunicipalityDemographics | undefined => {
+  const code = codeForMunicipality(municipality)
+  return code ? demographicsForCode(code) : undefined
+}
diff --git a/src/utilities/nucleusElectionGeography.ts b/src/utilities/nucleusElectionGeography.ts
index c533207f..cb664779 100644
--- a/src/utilities/nucleusElectionGeography.ts
+++ b/src/utilities/nucleusElectionGeography.ts
@@ -1,14 +1,13 @@
 import type { Where } from 'payload'
 
 import { tseCityCodeForMunicipality } from '@/lib/bahiaTseCityCodes'
-import { citiesForTerritory, isBahiaIdentityTerritory } from '@/lib/bahiaTerritories'
 import { tseZonesForCity } from '@/lib/bahiaTseZones'
 import { normalizeTerritoryTextArray } from '@/utilities/campaignTerritoryValidation'
+import { resolveNucleusTerritoryCities } from '@/utilities/nucleusTerritoryCities'
+import type { NucleusTerritoryCitiesInput } from '@/utilities/nucleusTerritoryCities'
 import { sortedUniqueZoneNumbers } from '@/utilities/tseZone'
 
-export type NucleusElectionGeographyInput = {
-  cities: string[]
-  regions: string[]
+export type NucleusElectionGeographyInput = NucleusTerritoryCitiesInput & {
   tseZones: number[]
 }
 
@@ -35,9 +34,6 @@ export type NucleusElectionGeography = {
   cityZonePairs: NucleusCityZonePair[]
 }
 
-const uniqueSortedCities = (values: Iterable<string>): string[] =>
-  [...new Set(values)].sort((left, right) => left.localeCompare(right, 'pt-BR'))
-
 /**
  * Resolve the effective city×zone geography for a nucleus baseline query.
  * Returns null when the nucleus has no usable territory (no cities and no regions),
@@ -51,16 +47,7 @@ const uniqueSortedCities = (values: Iterable<string>): string[] =>
 export const resolveNucleusElectionGeography = (
   nucleus: NucleusElectionGeographyInput,
 ): NucleusElectionGeography | null => {
-  const citiesFromNucleus = uniqueSortedCities(nucleus.cities.filter((city) => city.length > 0))
-  const cities =
-    citiesFromNucleus.length > 0
-      ? citiesFromNucleus
-      : uniqueSortedCities(
-          nucleus.regions.flatMap((region) =>
-            isBahiaIdentityTerritory(region) ? citiesForTerritory(region) : [],
-          ),
-        )
-
+  const cities = resolveNucleusTerritoryCities(nucleus)
   if (cities.length === 0) return null
 
   const requestedZones = sortedUniqueZoneNumbers(
diff --git a/src/utilities/nucleusIbgeVoterProfile.ts b/src/utilities/nucleusIbgeVoterProfile.ts
new file mode 100644
index 00000000..b767a835
--- /dev/null
+++ b/src/utilities/nucleusIbgeVoterProfile.ts
@@ -0,0 +1,125 @@
+import {
+  demographicsForMunicipalityName,
+  type MunicipalityAgeBandKey,
+} from '@/lib/bahiaMunicipalityDemographics'
+import {
+  resolveNucleusTerritoryCities,
+  type NucleusTerritoryCitiesInput,
+} from '@/utilities/nucleusTerritoryCities'
+
+export const IBGE_VOTER_PROFILE_LABEL = 'Perfil médio do território'
+
+export type ComputedVoterProfileViewModel = {
+  label: string
+  ageRange: string
+  localTraits: string
+  notes: string
+}
+
+export type NucleusIbgeVoterProfileResult =
+  | { status: 'available'; profile: ComputedVoterProfileViewModel }
+  | { status: 'semPerfil' }
+
+const AGE_BAND_LABELS: Record<MunicipalityAgeBandKey, string> = {
+  '0-17': '0 a 17 anos',
+  '18-29': '18 a 29 anos',
+  '30-59': '30 a 59 anos',
+  '60+': '60 anos ou mais',
+}
+
+const percentFormatter = new Intl.NumberFormat('pt-BR', {
+  maximumFractionDigits: 1,
+  minimumFractionDigits: 0,
+})
+
+const integerFormatter = new Intl.NumberFormat('pt-BR', { maximumFractionDigits: 0 })
+
+const formatPercent = (value: number) => percentFormatter.format(value)
+
+const formatInteger = (value: number) => integerFormatter.format(value)
+
+const buildSummaryLine = ({
+  dominantBand,
+  dominantSharePercent,
+  medianAge,
+  sexShareFemalePercent,
+}: {
+  dominantBand: MunicipalityAgeBandKey
+  dominantSharePercent: number
+  medianAge: number | null
+  sexShareFemalePercent: number
+}) => {
+  const medianText =
+    medianAge == null
+      ? 'idade mediana indisponível'
+      : `idade mediana de ${formatInteger(medianAge)} anos`
+  return `Predominam moradores na faixa de ${AGE_BAND_LABELS[dominantBand]} (${formatPercent(dominantSharePercent)}%). ${medianText.charAt(0).toUpperCase()}${medianText.slice(1)}; ${formatPercent(sexShareFemalePercent)}% mulheres.`
+}
+
+export const getNucleusIbgeVoterProfile = (
+  input: NucleusTerritoryCitiesInput,
+): NucleusIbgeVoterProfileResult => {
+  const effectiveCities = resolveNucleusTerritoryCities(input)
+  if (effectiveCities.length === 0) return { status: 'semPerfil' }
+
+  const ageBands: Record<MunicipalityAgeBandKey, number> = {
+    '0-17': 0,
+    '18-29': 0,
+    '30-59': 0,
+    '60+': 0,
+  }
+  let population = 0
+  let femalePopulation = 0
+  let medianAgeWeighted = 0
+  let medianAgeWeight = 0
+
+  for (const city of effectiveCities) {
+    const record = demographicsForMunicipalityName(city)
+    if (!record) continue
+
+    population += record.population
+    femalePopulation += record.population * record.sexShareFemale
+    for (const band of Object.keys(ageBands) as MunicipalityAgeBandKey[]) {
+      ageBands[band] += record.ageBands[band]
+    }
+    if (record.medianAge != null) {
+      medianAgeWeighted += record.medianAge * record.population
+      medianAgeWeight += record.population
+    }
+  }
+
+  if (population <= 0) return { status: 'semPerfil' }
+
+  const ageBandShares = {} as Record<MunicipalityAgeBandKey, number>
+  for (const band of Object.keys(ageBands) as MunicipalityAgeBandKey[]) {
+    ageBandShares[band] = (ageBands[band] / population) * 100
+  }
+
+  const dominantBand = (Object.keys(ageBandShares) as MunicipalityAgeBandKey[]).reduce(
+    (best, band) => (ageBandShares[band] > ageBandShares[best] ? band : best),
+    '0-17' as MunicipalityAgeBandKey,
+  )
+  const sexShareFemalePercent = (femalePopulation / population) * 100
+  const medianAge = medianAgeWeight > 0 ? medianAgeWeighted / medianAgeWeight : null
+
+  const ageRange = (Object.keys(AGE_BAND_LABELS) as MunicipalityAgeBandKey[])
+    .map((band) => `${AGE_BAND_LABELS[band]}: ${formatPercent(ageBandShares[band])}%`)
+    .join(' · ')
+
+  const notes = `População residente estimada: ${formatInteger(population)} habitantes (Censo 2022, média ponderada de ${effectiveCities.length} município${effectiveCities.length === 1 ? '' : 's'}).`
+
+  return {
+    status: 'available',
+    profile: {
+      label: IBGE_VOTER_PROFILE_LABEL,
+      ageRange,
+      localTraits: buildSummaryLine({
+        dominantBand,
+        dominantSharePercent: ageBandShares[dominantBand],
+        medianAge,
+        sexShareFemalePercent,
+      }),
+      notes,
+    },
+  }
+}
diff --git a/src/utilities/nucleusIntelligenceUi.ts b/src/utilities/nucleusIntelligenceUi.ts
index 6165ba08..23d4244a 100644
--- a/src/utilities/nucleusIntelligenceUi.ts
+++ b/src/utilities/nucleusIntelligenceUi.ts
@@ -7,6 +7,49 @@ import {
   requiredRelationshipFormValue,
 } from '@/lib/formData'
 
+export type VoterProfileWriteInput = {
+  label: string
+  ageRange?: string | null
+  incomeBand?: string | null
+  occupation?: string | null
+  localTraits?: string | null
+  notes?: string | null
+}
+
+export type VoterProfileWriteShape = {
+  label: string
+  ageRange?: string
+  incomeBand?: string
+  occupation?: string
+  localTraits?: string
+  notes?: string
+}
+
+export const voterProfileNullsToUndefined = (
+  profile: VoterProfileWriteInput,
+): VoterProfileWriteShape => ({
+  label: profile.label,
+  ageRange: profile.ageRange ?? undefined,
+  incomeBand: profile.incomeBand ?? undefined,
+  occupation: profile.occupation ?? undefined,
+  localTraits: profile.localTraits ?? undefined,
+  notes: profile.notes ?? undefined,
+})
+
+export const normalizedVoterProfilesForWrite = (
+  profiles: VoterProfileWriteInput[],
+): VoterProfileWriteShape[] =>
+  profiles
+    .map((profile) => ({
+      label: profile.label.trim(),
+      ageRange: profile.ageRange?.trim() || undefined,
+      incomeBand: profile.incomeBand?.trim() || undefined,
+      occupation: profile.occupation?.trim() || undefined,
+      localTraits: profile.localTraits?.trim() || undefined,
+      notes: profile.notes?.trim() || undefined,
+    }))
+    .filter(({ label }) => Boolean(label))
+
 export const parseNucleusIntelligenceFormData = (formData: FormData): NucleusUpdateInput => {
   const hasTicketAlliance = ['partnerName', 'office', 'isCampaignPartner', 'allianceNotes'].some(
     (field) => formData.has(field),
diff --git a/src/utilities/nucleusTerritoryCities.ts b/src/utilities/nucleusTerritoryCities.ts
new file mode 100644
index 00000000..650f7987
--- /dev/null
+++ b/src/utilities/nucleusTerritoryCities.ts
@@ -0,0 +1,24 @@
+import { citiesForTerritory, isBahiaIdentityTerritory } from '@/lib/bahiaTerritories'
+
+export type NucleusTerritoryCitiesInput = {
+  cities: string[]
+  regions: string[]
+}
+
+const uniqueSortedCities = (values: Iterable<string>): string[] =>
+  [...new Set(values)].sort((left, right) => left.localeCompare(right, 'pt-BR'))
+
+/** Cities explicitly set on the nucleus, or all cities from selected identity territories. */
+export const resolveNucleusTerritoryCities = ({
+  cities,
+  regions,
+}: NucleusTerritoryCitiesInput): string[] => {
+  const citiesFromNucleus = uniqueSortedCities([...cities].filter((city) => city.length > 0))
+  if (citiesFromNucleus.length > 0) return citiesFromNucleus
+
+  return uniqueSortedCities(
+    regions.flatMap((region) =>
+      isBahiaIdentityTerritory(region) ? citiesForTerritory(region) : [],
+    ),
+  )
+}
diff --git a/tests/fixtures/bahia-municipality-demographics.official.json b/tests/fixtures/bahia-municipality-demographics.official.json
new file mode 100644
index 00000000..2ccd0b54
--- /dev/null
+++ b/tests/fixtures/bahia-municipality-demographics.official.json
@@ -0,0 +1,5010 @@
+{
+  "municipalityCount": 417,
+  "assignments": [
+    {
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+      "ageBands": {
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+      "medianAge": 43
+    },
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+  "evidenceSha256": "21da75c798416f474db841fa04ff08f63f70a2ebdf3dd54cc0bb26eef98be99c"
+}
diff --git a/tests/int/bahiaMunicipalityDemographics.int.spec.ts b/tests/int/bahiaMunicipalityDemographics.int.spec.ts
new file mode 100644
index 00000000..39ce7bfb
--- /dev/null
+++ b/tests/int/bahiaMunicipalityDemographics.int.spec.ts
@@ -0,0 +1,102 @@
+// @vitest-environment node
+
+import { createHash } from 'node:crypto'
+import { readFileSync } from 'node:fs'
+
+import { describe, expect, it } from 'vitest'
+
+import {
+  bahiaMunicipalityDemographics,
+  demographicsForCode,
+  demographicsForMunicipalityName,
+} from '@/lib/bahiaMunicipalityDemographics'
+import { bahiaMunicipalityCodes } from '@/lib/bahiaMunicipalityCodes'
+import { bahiaMunicipalities } from '@/lib/bahiaTerritories'
+
+type OfficialEvidence = {
+  municipalityCount: number
+  assignments: Array<{
+    code: string
+    population: number
+    ageBands: Record<'0-17' | '18-29' | '30-59' | '60+', number>
+    sexShareFemale: number
+    medianAge: number | null
+  }>
+  evidenceSha256: string
+}
+
+const officialEvidence = JSON.parse(
+  readFileSync(
+    new URL('../fixtures/bahia-municipality-demographics.official.json', import.meta.url),
+    'utf8',
+  ),
+) as OfficialEvidence
+
+describe('Bahia municipality demographics (IBGE Censo 2022)', () => {
+  it('covers all 417 Bahia municipalities with positive population', () => {
+    expect(Object.keys(bahiaMunicipalityDemographics)).toHaveLength(417)
+    expect(bahiaMunicipalities).toHaveLength(417)
+    expect(new Set(Object.keys(bahiaMunicipalityDemographics))).toHaveLength(417)
+
+    for (const city of bahiaMunicipalities) {
+      const code = bahiaMunicipalityCodes[city]
+      const record = bahiaMunicipalityDemographics[code]
+      expect(record, city).toBeDefined()
+      expect(record.population).toBeGreaterThan(0)
+      expect(
+        record.ageBands['0-17'] +
+          record.ageBands['18-29'] +
+          record.ageBands['30-59'] +
+          record.ageBands['60+'],
+      ).toBe(record.population)
+      expect(record.sexShareFemale).toBeGreaterThan(0)
+      expect(record.sexShareFemale).toBeLessThanOrEqual(1)
+    }
+  })
+
+  it('matches the independently downloaded official evidence fixture', () => {
+    expect(officialEvidence.municipalityCount).toBe(417)
+    expect(
+      officialEvidence.assignments.map(
+        ({ code, population, ageBands, sexShareFemale, medianAge }) => ({
+          code,
+          population,
+          ageBands,
+          sexShareFemale,
+          medianAge,
+        }),
+      ),
+    ).toEqual(
+      Object.entries(bahiaMunicipalityDemographics)
+        .sort(([left], [right]) => left.localeCompare(right))
+        .map(([code, record]) => ({
+          code,
+          population: record.population,
+          ageBands: record.ageBands,
+          sexShareFemale: record.sexShareFemale,
+          medianAge: record.medianAge,
+        })),
+    )
+  })
+
+  it('matches every official assignment by a fixed evidence checksum', () => {
+    const assignmentRows = Object.entries(bahiaMunicipalityDemographics)
+      .sort(([left], [right]) => left.localeCompare(right))
+      .map(
+        ([code, record]) =>
+          `D\t${code}\t${record.population}\t${record.ageBands['0-17']}\t${record.ageBands['18-29']}\t${record.ageBands['30-59']}\t${record.ageBands['60+']}\t${record.sexShareFemale}\t${record.medianAge ?? ''}\n`,
+      )
+      .join('')
+
+    expect(createHash('sha256').update(assignmentRows).digest('hex')).toBe(
+      officialEvidence.evidenceSha256,
+    )
+  })
+
+  it('supports bidirectional lookups by municipality name', () => {
+    const salvador = demographicsForMunicipalityName('Salvador')
+    expect(salvador).toBeDefined()
+    expect(demographicsForCode('2927408')).toEqual(salvador)
+    expect(demographicsForMunicipalityName('Município inexistente')).toBeUndefined()
+  })
+})
diff --git a/tests/unit/nucleusIbgeVoterProfile.unit.spec.ts b/tests/unit/nucleusIbgeVoterProfile.unit.spec.ts
new file mode 100644
index 00000000..80cc4cee
--- /dev/null
+++ b/tests/unit/nucleusIbgeVoterProfile.unit.spec.ts
@@ -0,0 +1,53 @@
+import { describe, expect, it } from 'vitest'
+
+import {
+  getNucleusIbgeVoterProfile,
+  IBGE_VOTER_PROFILE_LABEL,
+} from '@/utilities/nucleusIbgeVoterProfile'
+
+describe('getNucleusIbgeVoterProfile', () => {
+  it('returns a profile for a single municipality', () => {
+    const result = getNucleusIbgeVoterProfile({ cities: ['Salvador'], regions: [] })
+    expect(result.status).toBe('available')
+    if (result.status !== 'available') return
+
+    expect(result.profile.label).toBe(IBGE_VOTER_PROFILE_LABEL)
+    expect(result.profile.notes).toContain('habitantes')
+    expect(result.profile.ageRange).toContain('0 a 17 anos')
+    expect(result.profile.localTraits).toContain('Predominam moradores')
+    expect(result.profile.notes).toContain('município')
+  })
+
+  it('weights multiple municipalities by population', () => {
+    const combined = getNucleusIbgeVoterProfile({
+      cities: ['Salvador', 'Abaíra'],
+      regions: [],
+    })
+
+    expect(combined.status).toBe('available')
+    if (combined.status !== 'available') return
+
+    expect(combined.profile.notes).toContain('2 municípios')
+  })
+
+  it('resolves cities from identity territories when cities are empty', () => {
+    const result = getNucleusIbgeVoterProfile({
+      cities: [],
+      regions: ['Metropolitano de Salvador'],
+    })
+
+    expect(result.status).toBe('available')
+  })
+
+  it('returns semPerfil when geography is missing', () => {
+    expect(getNucleusIbgeVoterProfile({ cities: [], regions: [] })).toEqual({
+      status: 'semPerfil',
+    })
+  })
+
+  it('returns semPerfil for unknown municipalities', () => {
+    expect(
+      getNucleusIbgeVoterProfile({ cities: ['Município inexistente'], regions: [] }),
+    ).toEqual({ status: 'semPerfil' })
+  })
+})