Marcos Renan Vasconcelos Magalhães

GDP, activity and income

I. GDP and GDP per capita, BRL (constant)

About the data

GDP — left axis
PIB acumulado nos últimos 12 meses a preços correntes
SGS: 4382, 433.
Frequency: monthly.

GDP per capita — right axis
PIB per capita a preços constantes do último ano
SGS: 21777.
Frequency: annual.

GDP is adjusted to December 2024 prices using a compounded IPCA index (SGS 433).

GDP per capita is already published at constant last-year prices by the BCB and is not deflated again. The two price bases differ.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 4382, 433, 21777.

II. GDP and GDP per capita, USD (current)

III. Real GDP growth (y/y)

IV. Real GDP growth by sector (y/y)

V. Consumption, investment and net exports

Household and government consumption, fixed investment (left); net exports proxy (right). Indices: 2019 = 100.

About the data

Households
PIB trimestral – dados dessazonalizados – consumo das famílias
SGS: 22110.
Frequency: quarterly.

Government
PIB trimestral – dados dessazonalizados – consumo do governo
SGS: 22111.
Frequency: quarterly.

Gross fixed capital formation
PIB trimestral – dados dessazonalizados – formação bruta de capital fixo
SGS: 22113.
Frequency: quarterly.

Net exports (2019-weighted proxy)
Exportações líquidas de bens e serviços – indicador calculado com pesos de 2019
SGS: 22114, 22115.
Frequency: quarterly.

Consumption and investment are seasonally adjusted quarterly volume indices from the national accounts, distributed through the SGS.

Each consumption and investment series is divided by its own average across the four quarters of 2019 and multiplied by 100.

Net exports are a calculated volume-balance proxy. The export and import volume indices are separately divided by their own 2019 averages, then weighted by average quarterly current-price exports and imports in 2019, subtracted, and rebased to average 2019 = 100.

The fixed 2019 weights are BRL 260,890.25 million for exports and BRL 272,794.50 million for imports, from IBGE SIDRA table 1846. The reference balance is −BRL 11,904.25 million per quarter.

Net exports index = 100 × [260,890.25 × (export volume / its 2019 average) − 272,794.50 × (import volume / its 2019 average)] / (260,890.25 − 272,794.50).

The 2019 reference balance is negative: a higher net-exports index represents a lower constructed balance; a negative index represents a positive constructed balance.

All four series have an average of 100 in 2019. The indices compare changes over time, not absolute sizes or GDP shares. They are not additive and do not sum to GDP; the net-exports indicator is not an official chained-volume aggregate or the current-account balance.

Investment is gross fixed capital formation (GFCF), including public and private investment in fixed assets; it excludes changes in inventories.

Native quarterly dates and observations are retained. Export and import inputs are already seasonally adjusted; no further adjustment, interpolation or smoothing is applied.

Consumption and investment use the left axis; net exports use the right axis. Both axes are indices with average 2019 = 100, and the reference value of 100 is aligned at the same height. The two axis scales differ.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 22110, 22111, 22113, 22114, 22115; 2019 weights: IBGE SIDRA 1846.

VI. Investment and gross saving rates

Quarterly national accounts, Brazil. Both rates as a share of nominal GDP.

VII. Monthly economic activity (IBC-Br)

IBC-Br is the Central Bank’s monthly indicator of economic activity.

VIII. GDP at current prices by municipality (BRL)

Annual GDP at current prices; BRL (colourbar: BRL billion), 2023.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Produto Interno Bruto a preços correntes

Annual municipal gross domestic product valued at current prices. Source: IBGE GDP of Municipalities, reference 2010, SIDRA table 5938, variable 37. The source unit is BRL thousand; values are multiplied by 1,000 to obtain BRL. The colourbar uses BRL billion for compact labels; municipality details show BRL.

The data included in this page refer to 2023, the latest year available when they were prepared. The publication period was revised on 19 December 2025. Future updates select the latest published observation year from the official API.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Colours use log(1 + BRL) spacing on each side of the national municipal median. Red indicates lower GDP and green higher GDP. This scale retains contrast across municipalities of very different economic size.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Newly published periods and revisions appear after a successful source check.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2023. Data prepared on 29 October 2026.

State

Red: lower GDP · green: higher GDP.
Centre: national municipal median.

Source: IBGE — GDP of Municipalities; 2022 boundaries.
SIDRA 5938, variable 37.

IX. GDP per capita at current prices by municipality (BRL)

Annual GDP per resident at current prices; BRL per person, 2023.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Produto Interno Bruto per capita a preços correntes

Annual GDP per resident at current prices, using the GDP per capita indicator published by IBGE for the same reference year as the total-GDP map. Values are nominal BRL per person.

This map measures annual output per resident. The following map measures monthly household income per person; its source, reference year and economic concept differ.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Colours use log(1 + BRL per person) spacing on each side of the national municipal median. Red indicates lower GDP per capita and green higher GDP per capita.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Newly published periods and revisions appear after a successful source check.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2023. Data prepared on 29 October 2026.

State

Red: lower GDP per capita · green: higher GDP per capita.
Centre: national municipal median.

Source: IBGE — GDP of Municipalities; 2022 boundaries.
IBGE survey 38, indicator 47001.

X. Real household disposable income (BRL)

Inflation-adjusted household income from labour, capital and net transfers; BRL billions.

About the data

Real household disposable income (BRL)
Renda Nacional Disponível Bruta das Famílias – em valores constantes, deflacionada pelo IPCA, com ajuste sazonal (média móvel trimestral)
SGS: 29027.
Frequency: monthly.

Household disposable income includes income from labour and capital plus net transfers; it is not a wage measure.

The published series is already deflated by the IPCA, seasonally adjusted and expressed as a three-month moving average. No further deflation, seasonal adjustment or moving average is applied.

Published millions of constant-price BRL are divided by 1,000 to display BRL billions; the BCB’s published price reference is retained.

Latest observation

—

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), code 29027.

XI. Average and total real labour earnings

Brazil; overlapping three-month estimates. Each series: Jan–Mar 2012 = 100.

About the data

Variables
Rendimento médio mensal real das pessoas de 14 anos ou mais de idade ocupadas na semana de referência com rendimento de trabalho, habitualmente recebido em todos os trabalhos
Massa de rendimento mensal real das pessoas de 14 anos ou mais de idade ocupadas na semana de referência com rendimento de trabalho, habitualmente recebido em todos os trabalhos

Brazil, people aged 14 or older who were employed in the reference week and had labour earnings. Both series cover usual monthly earnings from all jobs.

Average real earnings are per employed person with labour earnings (SIDRA 6390, variable 5933). Total real labour earnings are the aggregate earnings mass for that population (SIDRA 6392, variable 6293), published in millions of BRL.

For each line, index = 100 × the published real value / its own Jan–Mar 2012 value. Both indices start at 100 in the same reference window; the curves compare changes, not absolute income levels or additive shares.

The average can change with employment composition. The total reflects both average earnings and the number of people with earnings. These are labour earnings, not household disposable income.

The observations are overlapping three-month estimates, not individual monthly estimates. The date on the axis is the final month of the window. No seasonal adjustment, extra deflation, interpolation or smoothing is applied.

In each release, IBGE expresses the full real-value histories at the price level of the last published rolling quarter. The data included in this page use Jul–Sep 2026 prices; hover values identify the price window of the displayed data.

The page includes data through Jul–Sep 2026 and checks the official IBGE APIs monthly. Both histories must cover the same complete reference windows. If an update is unavailable or incomplete, the data already shown remain displayed.

The source may revise the historical values and rebase their common price reference on later releases. A successful refresh replaces the full pair and recalculates both indices from Jan–Mar 2012; it does not append a differently priced tail.

Presidential backgrounds identify the president in the final month; rolling windows can overlap administrations. The shading does not establish a causal effect.

Data prepared on 5 November 2026.

Data included in this page. Price reference: Jul–Sep 2026.

Latest observations

Indicators

Source: IBGE / PNAD Continuous, SIDRA 6390; 6392.
IBGE SIDRA 6390, v5933 · IBGE SIDRA 6392, v6293.

XII. Household income per capita by municipality (BRL)

Mean monthly nominal household income per person; BRL, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Valor do rendimento nominal médio mensal domiciliar per capita

Mean monthly nominal household income per capita, in BRL of the reference year. The source includes residents in occupied permanent private households under the IBGE household-income definition; it covers all ages.

Source: IBGE Population Census, SIDRA table 10295, variable 13431. The selection uses totals for sex, race/colour and age. The 2022 data use preliminary sample results.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Colours vary linearly on each side of the national municipal median. Red indicates lower income and green higher income.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Newly published periods and revisions appear after a successful source check.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 29 October 2026.

State

Red: lower · green: higher.
Centre: national municipal median.

Missing data

Source: IBGE — Population Census; 2022 boundaries.
SIDRA 10295, variable 13431.

XIII. Minimum wage: nominal and real (BRL)

Monthly minimum wage; real values in December 2024 BRL.

About the data

Nominal minimum wage
Salário mínimo
SGS: 1619.
Frequency: monthly.

Real minimum wage — December 2024 prices
Salário mínimo deflacionado pelo IPCA
SGS: 1619, 433.
Frequency: monthly.

The nominal line is the statutory monthly minimum wage published in SGS 1619, in current BRL.

The real line is calculated from the same nominal series using the monthly IPCA percentage changes in SGS 433. Monthly rates are compounded into a price index; they are not added.

Real wage at month t = nominal wage at t × compounded IPCA index in December 2024 / compounded IPCA index at t.

The price reference is December 2024. Nominal and real values therefore coincide in that month. The two lines show BRL per month, with the real line expressed in December 2024 purchasing power.

The graph starts in January 1996. Observations dated after the current month are excluded, including any pre-published future minimum-wage observations.

The real line ends at the latest month for which both a nominal wage and a published IPCA observation exist. No inflation values are forecast or carried forward.

Native monthly observations are retained without additional seasonal adjustment or smoothing.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 1619, 433.

Monetary and fiscal policy

XIV. IPCA, Selic, real return and inflation target

Selic is Brazil’s benchmark interest rate, which influences other interest rates across the economy. Real return: compounded Selic adjusted for IPCA over the preceding 12 months.

About the data

IPCA — 12-month change
IPCA – variação acumulada em 12 meses
SGS inputs: 13522.
Frequency: monthly.

Selic — annualized, 252-day basis
Taxa de juros – Selic anualizada base 252
SGS inputs: 1178.
Frequency: monthly.

Real Selic — realized 12-month return
Selic acumulada em 12 meses, descontada pelo IPCA no mesmo período
SGS inputs: 4390, 13522.
Frequency: monthly.

Inflation target
Meta para a inflação
SGS inputs: 13521.
Frequency: monthly.

Selic is sampled at the first daily observation of each month.

The inflation target retains its native annual observations; IPCA is the published 12-month rate.

Calculated indicator: 100 × [product of (1 + monthly Selic / 100) over 12 consecutive months / (1 + published 12-month IPCA / 100) − 1].

Monthly Selic returns are compounded, not added. The inflation denominator is the published 12-month IPCA (SGS 13522).

This is a retrospective realized return on the Selic benchmark, before taxes and fees; it is neither an expected real policy rate nor an estimate of the neutral interest rate.

Only matching reference months are used. The line ends at the latest month with a complete 12-month Selic window and a published IPCA observation; no inflation is projected.

Missing months are not interpolated or carried forward.

The Selic line is a contemporaneous annualized rate sampled at the first observation of each month; the real-return line compounds the realized monthly Selic returns over the preceding 12 months and adjusts them for inflation over that same period. The four lines share the percentage scale, with their horizons identified separately.

The vertical scale includes negative realized real returns and expands if new observations exceed the initial limits. Each series retains its own latest published date.

New observations and revisions are checked through the official SGS API using the dashboard’s monthly update cycle. The last available observations remain displayed if the source is temporarily unavailable.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – SGS, codes 13522, 1178, 4390, 13521.

XV. IPCA components (12-month inflation rate)

XVI. IPCA and core inflation (12 months)

Headline IPCA and five individual core measures: EX0, EX3, DP, MS and P55.

About the data

IPCA
IPCA – variação acumulada em 12 meses
SGS inputs: 13522.
Frequency: monthly.

EX0
IPCA – núcleo por exclusão EX0
SGS inputs: 11427.
Frequency: monthly.

EX3
IPCA – núcleo por exclusão EX3
SGS inputs: 27839.
Frequency: monthly.

DP
IPCA – núcleo de dupla ponderação
SGS inputs: 16122.
Frequency: monthly.

MS
IPCA – núcleo de médias aparadas com suavização
SGS inputs: 4466.
Frequency: monthly.

P55
IPCA – núcleo percentil 55
SGS inputs: 28750.
Frequency: monthly.

The headline line is the published 12-month IPCA (SGS 13522).

Each official monthly core is compounded separately over 12 consecutive months: 100 × [product of (1 + monthly change / 100) − 1].

EX0 (11427) excludes administered prices and food at home, retaining services and industrial goods.

EX3 (27839) combines the selected services and industrial-goods core components under the BCB exclusion methodology.

DP (16122), double weighting, adjusts the original IPCA item weights to reduce the influence of more volatile items.

MS (4466) is a trimmed-mean measure that smooths selected infrequently adjusted prices before trimming extreme price changes.

P55 (28750) is based on the 55th percentile of the weighted distribution of monthly price changes.

All five individual measures are displayed using the BCB methodology consolidated in Technical Note 57 (December 2025). They are alternative analytical measures, not additive components of IPCA.

Each line requires its own complete 12-month window. Missing months are not interpolated or carried forward.

New observations and revisions are checked through the official SGS API using the dashboard’s monthly update cycle. The last available observations remain displayed if the source is temporarily unavailable.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – SGS, codes 13522, 11427, 27839, 16122, 4466, 28750.

XVII. Central government net revenue and primary expenditure

Brazil, Central Government; rolling 12-month flows as a percentage of nominal GDP.

About the data

Variables
Receita líquida do Governo Central
Despesa total do Governo Central (primária)

Central Government covers the Treasury, Social Security and the Central Bank. Net revenue deducts revenue-sharing transfers. Primary expenditure excludes interest.

Each curve divides the sum of 12 monthly flows by nominal GDP over the same months (SGS 4380), then multiplies by 100.

The hatched gap is the primary balance. Green marks a surplus and red a deficit. Presidential shading identifies the final month of each window.

The chart uses the September 2026 RTN release. Data prepared on 5 November 2026.

Latest observations

Indicators

Source: RTN table 1.1, lines 3 (net revenue) and 4 (primary expenditure). BCB–SGS 4380 (nominal GDP).
RTN table 1.1, lines 3 and 4.

XVIII. Primary borrowing requirements by government level

Twelve-month flows as a share of national GDP. Positive: deficit; negative: surplus.

About the data

Federal government and BCB
NFSP – resultado primário – Governo Federal e Banco Central
SGS inputs: 5783.
Frequency: monthly.

State governments
NFSP – resultado primário – governos estaduais
SGS inputs: 5787.
Frequency: monthly.

Municipal governments
NFSP – resultado primário – governos municipais
SGS inputs: 5788.
Frequency: monthly.

Each line is the published 12-month primary borrowing requirement for the specified government level, expressed as a percentage of national GDP.

BCB NFSP sign convention: positive values indicate deficits; negative values indicate surpluses. Signs are not inverted.

The Federal government and BCB series includes the federal social security system, under the BCB institutional coverage.

The three lines do not exhaust the consolidated public sector because public enterprises are not included in this selection. They must not be treated as a complete stacked decomposition of the consolidated result.

These percentages use national GDP, not the GDP of each state or municipality. The lines aggregate each level nationally; they do not compare individual states or municipalities.

The source already supplies 12-month flows; no further rolling sum or seasonal adjustment is applied.

New observations and revisions are checked through the official SGS API using the dashboard’s monthly update cycle. The last available observations remain displayed if the source is temporarily unavailable.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – SGS, codes 5783, 5787, 5788.

XIX. Public sector nominal interest (% of GDP)

Consolidated public sector nominal interest, excluding exchange-rate effects; published 12-month flow as a share of GDP (SGS 5760).

About the data

Nominal interest
NFSP sem desvalorização cambial – juros nominais – setor público consolidado
SGS inputs: 5760.
Frequency: monthly.

SGS 5760 is already published as a 12-month accumulated flow divided by GDP. It is not accumulated again.

Nominal interest is measured on an accrual basis and includes real interest and monetary correction, under the BCB fiscal methodology.

For the same reference month and institutional coverage, nominal borrowing requirements equal primary borrowing requirements plus nominal interest, apart from rounding.

The interest flow is not the Selic rate and does not represent a debt stock. Values are published excluding exchange-rate effects as defined in the BCB NFSP methodology.

Available observations begin in November 2002. Earlier values are not imputed.

The vertical scale initially spans 3–10% of GDP, with one-percentage-point intervals. The bounds expand automatically if newly published observations fall outside that range.

New observations and revisions are checked through the official SGS API using the dashboard’s monthly update cycle. The last available observations remain displayed if the source is temporarily unavailable.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – SGS, codes 5760.

XX. Public debt (% of GDP)

Net public sector debt and gross general government debt have different institutional coverage.

About the data

Net public sector debt
Dívida Líquida do Setor Público (% PIB) – Total – setor público consolidado
SGS: 4513.
Frequency: monthly.

Gross general government debt
Dívida bruta do governo geral (% PIB) – metodologia utilizada a partir de 2008
SGS: 13762.
Frequency: monthly.

Both lines are debt stocks expressed as a percentage of GDP, plotted on the same data-fitted vertical scale. They are not accumulated 12-month flows.

Net public sector debt covers the consolidated public sector, while gross general government debt covers general government under the BCB methodology. Their institutional coverage differs; the gap between the lines is not simply government assets.

Gross general government debt uses the methodology adopted from 2008, with observations available from December 2006. No earlier values are imputed.

The vertical limits adapt to both series using a small padding and rounded bounds; the y-axis ticks are spaced ten percentage points apart.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 4513, 13762.

XXI. Currency swaps — 12-month cash result (BRL)

BCB cash result from currency swaps, summed over the preceding 12 months. Positive = gain; negative = loss for the BCB.

About the data

12-month cash result
Swap cambial - Resultado caixa
SGS: 29522.
Frequency: monthly.

SGS 29522 is a monthly cash flow, published in millions of current BRL. It is not an accumulated series.

Calculated indicator: sum of the current month and the preceding 11 consecutive monthly observations, divided by 1,000 to display BRL billions.

A positive value is a net cash gain for the BCB; a negative value is a net cash loss. Zero is a valid observation, and the horizontal zero line separates gains from losses.

Cash settlement and accrual recognition can fall in different months. This plot uses the cash series only; it does not use the accrual series SGS 29523.

The source begins in January 2008. The first complete 12-month sum is December 2008. Missing months are not filled or interpolated, and a window spanning a missing month is not plotted.

Currency swaps supply exchange-rate hedging. This cash result alone is not the overall result of the BCB, the value of international reserves or a measure of the effectiveness of monetary policy.

The vertical limits fit the observed 12-month results with small padding. Legends use the available space without widening the vertical scale.

Latest observations

—

Indicators

Source: BCB–SGS 29522; official API. Monthly BRL millions → 12-month sum in BRL billions.

XXII. Selic repurchase agreements in broad money (BRL)

Month-end stock in BRL billions. Real values are in the latest common month prices (IPCA).

About the data

Variables
Meios de pagamento amplos - Operações compromissadas/Selic (saldo em final de período)

SGS 1839 measures the month-end balance of Selic-registered repurchase agreements held by the money-holding public. The BCB publishes it as a component of broad money (M3).

Current prices use the published balance. Values in BRL thousands are divided by one million to display BRL billions.

The real series multiplies each balance by the compounded monthly IPCA factors (SGS 433) from the following month through the latest month common to both series. The subtitle identifies that price reference.

The chart starts in January 2000. The BCB’s historical revision of broad monetary aggregates starts in December 2001.

Latest observations

Indicators

Source: BCB–SGS 1839 (repo stock) and 433 (IPCA).

Labor market

XXIII. Labor force, employment and unemployment

PNAD Continuous Survey, moving-quarter estimates; millions of people.

About the data

Labor force — left axis
População na força de trabalho – PNADC
SGS: 24378.
Frequency: monthly.

Employed people — left axis
Pessoas ocupadas – PNADC
SGS: 24379.
Frequency: monthly.

Unemployed people — right axis
Pessoas desocupadas – PNADC
SGS: 24380.
Frequency: monthly.

The three series are estimates from the IBGE Continuous National Household Sample Survey (PNAD Continuous Survey), distributed through the SGS, for people aged 14 or older.

Labor force and employed people use the left axis, fixed from 80 to 110 million people. Unemployed people use the right axis, fixed from 0 to 30 million people.

The published SGS unit is thousands of people. Each value is divided by 1,000 to display millions of people; it is not divided by one million.

Each date denotes the moving three-month reference period ending in that month. These are not counts for an isolated month. No additional moving average, seasonal adjustment or interpolation is applied.

Labor force equals employed plus unemployed people, apart from rounding in the published series. The first observation is the moving quarter ending in March 2012; the x axis begins in January 2012.

Latest observations

—

Indicators

Source: IBGE – PNAD Continuous Survey – Sistema Gerenciador de Séries Temporais (SGS), codes 24378, 24379, 24380.

XXIV. Unemployment rate (moving quarter)

XXV. Unemployment rates by age

Brazil, fixed calendar quarters. Percentage of the labor force within each age group.

XXVI. Discouraged workers

Monthly, seasonally adjusted estimate from Ipea, based on the IBGE PNAD Continuous Survey.

XXVII. Stock of formal jobs

XXVIII. Formal job admissions and separations

Monthly Novo Caged records, including late employer declarations.

XXIX. Informality by age group

Quarterly informal employment rates within each age group; Overall covers employed people aged 14 or older.

About the data

Overall
Taxa de Informalidade (IBGE/Pnad Contínua)
Ipeadata: PNADCT_TXINFORMUF.
Frequency: quarterly.

14–17 years
Informalidade - 14 a 17 anos
Ipeadata: PNADCT_TXINFORMUF_1417.
Frequency: quarterly.

18–24 years
Informalidade - 18 a 24 anos
Ipeadata: PNADCT_TXINFORMUF_1824.
Frequency: quarterly.

25–39 years
Informalidade - 25 a 39 anos
Ipeadata: PNADCT_TXINFORMUF_2539.
Frequency: quarterly.

40–59 years
Informalidade - 40 a 59 anos
Ipeadata: PNADCT_TXINFORMUF_4059.
Frequency: quarterly.

60 years and over
Informalidade - mais de 60 anos
Ipeadata: PNADCT_TXINFORMUF_60M.
Frequency: quarterly.

Quarterly estimates for Brazil from the IBGE PNAD Continuous Survey, distributed through Ipeadata. Values are percentages as published, without additional scaling or smoothing.

Informality rates are calculated among employed people aged 14 or older. Each subgroup rate uses the employed population within that subgroup as its denominator.

Under the IBGE definition, informal employment includes private-sector employees and domestic workers without a signed work card, employers and own-account workers without a registered business (CNPJ), and contributing family workers.

The Overall line uses the national informality rate and is identical in both panels. It is shown as a thicker black line.

Each date denotes the reference calendar quarter, rather than a moving quarter. Lines connect available quarterly observations; no missing-quarter values are created.

The final IBGE age category is 60 years and over. The Ipeadata series title says ‘mais de 60 anos’; the displayed category follows the IBGE age classification.

Age categories: IBGE PNAD Continuous metadata.

Latest observations

—

Indicators

Source: IBGE – PNAD Continuous Survey, via Ipeadata. National quarterly estimates.
PNADCT_TXINFORMUF · PNADCT_TXINFORMUF_1417 · PNADCT_TXINFORMUF_1824 · PNADCT_TXINFORMUF_2539 · PNADCT_TXINFORMUF_4059 · PNADCT_TXINFORMUF_60M.

XXX. Informality by sex and race/colour

Quarterly rates within each group; sex and self-identified race/colour are separate breakdowns.

About the data

Overall
Taxa de Informalidade (IBGE/Pnad Contínua)
Ipeadata: PNADCT_TXINFORMUF.
Frequency: quarterly.

White
Informalidade - brancos
Ipeadata: PNADCT_TXINFORMUF_BRA.
Frequency: quarterly.

Men
Informalidade - homem (IBGE/Pnad Contínua)
Ipeadata: PNADCT_TXINFORMUF_HOM.
Frequency: quarterly.

Women
Informalidade - mulher (IBGE/Pnad Contínua)
Ipeadata: PNADCT_TXINFORMUF_MUL.
Frequency: quarterly.

Brown (pardo)
Informalidade - pardos
Ipeadata: PNADCT_TXINFORMUF_PRD.
Frequency: quarterly.

Black (preto)
Informalidade - pretos
Ipeadata: PNADCT_TXINFORMUF_NEG.
Frequency: quarterly.

Quarterly estimates for Brazil from the IBGE PNAD Continuous Survey, distributed through Ipeadata. Values are percentages as published, without additional scaling or smoothing.

Informality rates are calculated among employed people aged 14 or older. Each subgroup rate uses the employed population within that subgroup as its denominator.

Under the IBGE definition, informal employment includes private-sector employees and domestic workers without a signed work card, employers and own-account workers without a registered business (CNPJ), and contributing family workers.

The Overall line uses the national informality rate and is identical in both panels. It is shown as a thicker black line.

Each date denotes the reference calendar quarter, rather than a moving quarter. Lines connect available quarterly observations; no missing-quarter values are created.

White, Brown (pardo), and Black (preto) follow the IBGE self-identified race/colour categories. Black (preto) is the specific preto category; the pardo category is shown separately.

The sex and race/colour groups overlap. These lines describe separate breakdowns of employment and are not added together.

Latest observations

—

Indicators

Source: IBGE – PNAD Continuous Survey, via Ipeadata. National quarterly estimates.
PNADCT_TXINFORMUF · PNADCT_TXINFORMUF_BRA · PNADCT_TXINFORMUF_HOM · PNADCT_TXINFORMUF_MUL · PNADCT_TXINFORMUF_PRD · PNADCT_TXINFORMUF_NEG.

Industry, retail, services and consumer confidence

XXXI. Industrial production, retail trade and services

Seasonally adjusted monthly indices, 2022 = 100; services available from January 2011.

About the data

Industrial production
Produção industrial – indústria geral – com ajuste sazonal
SGS: 28503.
Frequency: monthly.

Retail trade
Índice de volume de vendas no varejo – Brasil – com ajuste sazonal
SGS: 28473.
Frequency: monthly.

Services
PMS - Índice de volume de serviços com ajuste sazonal (2022=100)
IBGE SIDRA: 5906, variable 7168; volume category 56726.
Frequency: monthly.

All three series are seasonally adjusted native indices with 2022 = 100. No additional rebasing, seasonal adjustment or smoothing is applied.

Industrial production and retail trade retain the existing BCB–SGS series 28503 and 28473. Services come directly from IBGE's Monthly Survey of Services (PMS), SIDRA table 5906, variable 7168, type of index 56726 (volume).

PMS covers the market non-financial services within the survey's scope, excluding health and education. It is not the services-sector value added from national accounts.

The PMS series begins in January 2011. Its native monthly dates are retained; no earlier services observations are created.

Latest observations

—

Indicators

Source: IBGE, via BCB–SGS (28503, 28473), and SIDRA 5906 — PMS services volume (variable 7168, volume category 56726).

XXXII. Industrial production by economic category

Four categories of physical production; monthly seasonally adjusted indices, 2022 = 100.

About the data

Capital goods
Bens de capital
IBGE / PIM-PF / SIDRA 8887, variable 12607.
Frequency: monthly.

Intermediate goods
Bens intermediários
IBGE / PIM-PF / SIDRA 8887, variable 12607.
Frequency: monthly.

Consumer durables
Bens de consumo duráveis
IBGE / PIM-PF / SIDRA 8887, variable 12607.
Frequency: monthly.

Semi/non-durables
Bens de consumo semiduráveis e não duráveis
IBGE / PIM-PF / SIDRA 8887, variable 12607.
Frequency: monthly.

These are native monthly seasonally adjusted volume indices on the published 2022 = 100 scale. No additional rebasing, seasonal adjustment, smoothing or interpolation is applied.

The published seasonally adjusted observations in 2022 need not average exactly 100. Their original values and scale are retained.

The lines compare each category’s trajectory over time. Index levels are not sector sizes, market shares or contributions to aggregate growth.

Each series retains its available history and latest source observation. Missing months are not filled or carried forward.

Physical production is measured by the IBGE PIM-PF. Capital-goods production is a domestic output category and is not total fixed investment.

The four individual categories are capital goods, intermediate goods, consumer durables, and semi-durable/non-durable consumer goods.

Official APIs are checked through the dashboard’s monthly update cycle. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: IBGE — PIM-PF, SIDRA 8887, variable 12607.

XXXIII. Manufacturing capacity utilisation

Share of manufacturing capacity in use; seasonally adjusted percentage, CNI via BCB–SGS.

About the data

Capacity utilisation
Utilização da capacidade instalada da indústria de transformação
CNI, via BCB–SGS 28554.
Frequency: monthly.

The series measures the percentage of installed manufacturing capacity in use. It is a capacity-utilisation level, not an index rebased to 100.

Monthly seasonally adjusted observations are supplied by CNI and distributed through BCB–SGS 28554. No additional adjustment, rebasing or smoothing is applied.

The SGS catalogue uses the generic unit label “Index”; the percentage interpretation was checked against the current CNI publication and historical workbook, including the July–August 2026 readings.

The currently published seasonally adjusted history is used throughout. Historical observations can be revised when the producer updates seasonal adjustment; older releases may show different historical values.

A higher percentage indicates greater utilisation of the surveyed manufacturing capacity. This is not productivity or the economy-wide output gap.

The source history starts in January 2003; earlier observations are not imputed.

Official APIs are checked through the dashboard’s monthly update cycle. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: CNI — Industrial Indicators, via BCB–SGS 28554.

XXXIV. Industrial hours, employment, sales and payroll

CNI monthly indices, 2006 average = 100. Hours, employment and real sales are seasonally adjusted. Real payroll starts in 2006.

About the data

Variables
Indicadores Industriais - horas trabalhadas - indústria - índice dessazonalizado (média 2006 = 100)
Indicadores Industriais - pessoal empregado - indústria - índice dessazonalizado (média 2006 = 100)
Indicadores Industriais - faturamento real - indústria - índice dessazonalizado (média 2006 = 100)
Indicadores Industriais - massa salarial - real - indústria - índice (média 2006 = 100)

CNI’s Industrial Indicators survey covers manufacturing. Hours measure time actually worked by production staff, excluding paid time off.

Employment tracks the number of people employed in the surveyed establishments. Hours, employment and real sales are seasonally adjusted and start in January 1992.

Sales are deflated using sector-specific FGV IPA-OG price indices. Real payroll measures aggregate payroll deflated by the IBGE INPC. It retains its seasonal pattern and starts in January 2006.

All four indices use the published 2006 average as 100.

Latest observations

Indicators

Source: CNI via Ipeadata. CNI12_HTRABD12, CNI12_PEEMPD12, CNI12_VENRED12, CNI12_REMR12.

XXXV. Retail sales volume by segment

Food, clothing, furniture/appliances and vehicles; monthly seasonally adjusted indices, 2022 = 100.

About the data

Food retail
Hipermercados, supermercados, produtos alimentícios, bebidas e fumo
IBGE / PMC / SIDRA 8882, variable 7170.
Frequency: monthly.

Clothing
Tecidos, vestuário e calçados
IBGE / PMC / SIDRA 8882, variable 7170.
Frequency: monthly.

Furniture/appliances
Móveis e eletrodomésticos
IBGE / PMC / SIDRA 8882, variable 7170.
Frequency: monthly.

Vehicles
Veículos, motocicletas, partes e peças
IBGE / PMC / SIDRA 8883, variable 7170.
Frequency: monthly.

These are native monthly seasonally adjusted volume indices on the published 2022 = 100 scale. No additional rebasing, seasonal adjustment, smoothing or interpolation is applied.

The published seasonally adjusted observations in 2022 need not average exactly 100. Their original values and scale are retained.

The lines compare each category’s trajectory over time. Index levels are not sector sizes, market shares or contributions to aggregate growth.

Each series retains its available history and latest source observation. Missing months are not filled or carried forward.

Food retail covers hypermarkets, supermarkets, food products, beverages and tobacco. Clothing covers textiles, apparel and footwear.

Vehicles, motorcycles, parts and accessories are taken from the expanded-retail survey (SIDRA 8883). They are compared as an individual segment, not included in the restricted-retail aggregate shown in the overview.

The four segments are a selection of PMC activities, not a complete decomposition of retail trade.

Official APIs are checked through the dashboard’s monthly update cycle. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: IBGE — PMC, SIDRA 8882 and 8883, variable 7170.

XXXVI. Services volume by activity

Five PMS activity groups; monthly seasonally adjusted volume indices, 2022 = 100.

About the data

Families
1. Serviços prestados às famílias
IBGE / PMS / SIDRA 8688, variable 7168.
Frequency: monthly.

Information
2. Serviços de informação e comunicação
IBGE / PMS / SIDRA 8688, variable 7168.
Frequency: monthly.

Professional
3. Serviços profissionais, administrativos e complementares
IBGE / PMS / SIDRA 8688, variable 7168.
Frequency: monthly.

Transport
4. Transportes, serviços auxiliares aos transportes e correio
IBGE / PMS / SIDRA 8688, variable 7168.
Frequency: monthly.

Other
5. Outros serviços
IBGE / PMS / SIDRA 8688, variable 7168.
Frequency: monthly.

These are native monthly seasonally adjusted volume indices on the published 2022 = 100 scale. No additional rebasing, seasonal adjustment, smoothing or interpolation is applied.

The published seasonally adjusted observations in 2022 need not average exactly 100. Their original values and scale are retained.

The lines compare each category’s trajectory over time. Index levels are not sector sizes, market shares or contributions to aggregate growth.

Each series retains its available history and latest source observation. Missing months are not filled or carried forward.

The five activity groups are services to households; information and communication; professional, administrative and complementary services; transport, auxiliary transport services and postal activities; and other services.

PMS measures market non-financial services within its survey scope, excluding health and education. It is not the whole services-sector value added in the national accounts.

All five activity groups are shown individually; no unweighted average across the groups is calculated. The official aggregate uses its own survey weights.

The PMS history starts in January 2011; earlier observations are not imputed.

Official APIs are checked through the dashboard’s monthly update cycle. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: IBGE — PMS, SIDRA 8688, variable 7168.

XXXVII. Consumer confidence indicators

About the data

Consumer confidence index
Índice de Confiança do Consumidor
SGS: 4393.
Frequency: monthly.

Current economic conditions index
Índice de Condições Econômicas Atuais
SGS: 4394.
Frequency: monthly.

Future expectations index
Índice de Expectativas Futuras
SGS: 4395.
Frequency: monthly.

These confidence indices are produced by FecomercioSP and distributed through BCB-SGS.

Native index values are shown without additional normalization.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 4393, 4394, 4395.

Agriculture and Food

XXXVIII. Crop production, harvested area and yield

Brazil, 1974–2025. Each series is indexed to 2002 = 100.

About the data

Quantidade produzida

Área colhida

Rendimento médio da produção

Annual calendar-year Municipal Agricultural Production (PAM), with published variables 214 (tonnes), 216 (hectares) and 112 (kg/ha). Each series uses its own 2002 value as the denominator. Coffee starts in 2002, when IBGE began reporting production as processed beans.

Official SIDRA data are checked each monthly cycle from the 20th. The last valid series remain available during a source outage.

Presidential bands before 1985 follow the National Archives chronology.

Data snapshot prepared on 11 November 2026.

Latest observations

—

Indicators

Source: IBGE, PAM · SIDRA 5457 · National series API
SIDRA 5457 · variables 214, 216 and 112.

XXXIX. Soybean and maize harvests by crop year

Brazil, 1976/77–2025/26. Dotted segments show the October 2026 forecast for 2026/27.

About the data

Produção de soja

Produção de milho — primeira safra

Produção de milho — segunda safra

Conab historical crop-year workbooks, Production tab, released on 15 October 2026. The crop year is placed at its start year (2025 denotes 2025/26). The October 2026 forecast for 2026/27 is shown separately. Some state soybean series have gaps in the source. Conab crop years and the IBGE calendar-year PAM are displayed in separate panels.

Presidential bands before 1985 follow the National Archives chronology.

Data snapshot prepared on 11 November 2026.

Latest observations

—

Indicators

Source: Conab · Soybeans · Conab · Maize, first crop · Conab · Maize, second crop
Conab · series for soybean and first- and second-crop maize production · 15 October 2026.

XL. Food inflation at home and away from home

Brazil, cumulative change over the previous 12 months.

About the data

Índice Nacional de Preços ao Consumidor Amplo — índice geral

Alimentação e bebidas

Alimentação no domicílio

Alimentação fora do domicílio

SIDRA 7060, variable 2265, classification 315. The four series are published 12-month IPCA changes for Brazil. The comparison uses the same current IPCA classification throughout.

Official SIDRA data are checked each monthly cycle from the 20th. The last valid series remain available during a source outage.

Data snapshot prepared on 11 November 2026.

Latest observations

—

Indicators

Source: IBGE, IPCA · SIDRA 7060 · National series API
SIDRA 7060 · variable 2265 · classification 315 (7169, 7170, 7171 and 7432).

XLI. Crop yield by municipality

Soybeans, kg/ha, 2025.

Credit and household finances

BNDES is Brazil’s federal development bank.

XLII. Credit and BNDES lending (% of GDP)

About the data

Total credit / GDP
Saldo da carteira de crédito em relação ao PIB
SGS: 20622.
Frequency: monthly.

BNDES total lending / GDP
Desembolsos do sistema BNDES – Total
SGS: 7415, 4380.
Frequency: monthly.

BNDES (Brazilian Development Bank) is Brazil’s federal public development bank.

The BNDES indicator is the sum of 12 observations of SGS 7415, divided by the 12-month sum of nominal GDP (SGS 4380), multiplied by 100.

SGS 7415 reports year-to-date disbursements. Its 12-observation sum adds overlapping year-to-date amounts; this indicator is not total disbursements during the previous 12 months.

The sector chart below retains the monthly-flow calculation described in its own notes.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 20622, 7415, 4380.

XLIII. BNDES lending by sector (current BRL)

About the data

Total
Desembolsos do sistema BNDES – Total
SGS: 7415.
Frequency: monthly.

Commerce & services
Desembolsos do sistema BNDES – Comércio e serviços
SGS: 7417.
Frequency: monthly.

Manufacturing
Desembolsos do sistema BNDES – Indústria de transformação
SGS: 7416.
Frequency: monthly.

Agriculture
Desembolsos do sistema BNDES – Agropecuária
SGS: 7418.
Frequency: monthly.

Mining
Desembolsos do sistema BNDES – Indústria extrativa
SGS: 7419.
Frequency: monthly.

BNDES (Brazilian Development Bank) is Brazil’s federal public development bank.

Nominal disbursements, converted from cumulative year-to-date observations into monthly flows and then summed over 12 consecutive months.

Values are in current BRL trillions; the display cutoff is applied before the rolling sum.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 7415, 7417, 7416, 7418, 7419.

XLIV. Household and corporate lending rates

Average annual interest rates on new loans across Brazil’s financial system.

About the data

Households
Taxa média de juros das operações de crédito – pessoas físicas – total
SGS: 20716.
Frequency: monthly.

Companies
Taxa média de juros das operações de crédito – pessoas jurídicas – total
SGS: 20715.
Frequency: monthly.

Average interest rates on new credit operations, weighted by amounts granted. The series cover both earmarked and non-earmarked credit.

The rates are annual percentages observed monthly, as published by the BCB; they are not monthly interest rates and are not annualized again.

These indicators refer to credit across Brazil’s financial system, not specifically to BNDES.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 20716, 20715.

XLV. Household debt and debt-service burden

Debt is measured against 12-month income; debt service against monthly income.

About the data

Debt / 12-month income
Endividamento das famílias com o Sistema Financeiro Nacional em relação à renda acumulada dos últimos doze meses
SGS: 29037.
Frequency: monthly.

Debt service / monthly income
Comprometimento de renda das famílias com o serviço da dívida com o Sistema Financeiro Nacional – com ajuste sazonal
SGS: 29034.
Frequency: monthly.

Household indebtedness is the outstanding debt stock with the national financial system divided by household income accumulated over the previous twelve months.

The debt-service burden relates expected interest and amortization payments to monthly household income, published as a seasonally adjusted three-month moving average.

Both series are percentages, but their income denominators differ. They are plotted on one common scale without additional moving averages.

The indicators cover households’ debt with the national financial system, not specifically BNDES loans.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 29037, 29034.

XLVI. Loan delinquency rates

Loans with instalments over 90 days past due; % of each borrower group's credit portfolio.

About the data

Total
Inadimplência da carteira de crédito – Total
All borrowers.
SGS: 21082.
Frequency: monthly. Unit: %.

Companies (PJ)
Inadimplência da carteira de crédito – Pessoas jurídicas – Total
Non-financial corporations.
SGS: 21083.
Frequency: monthly. Unit: %.

Households (PF)
Inadimplência da carteira de crédito – Pessoas físicas – Total
Households.
SGS: 21084.
Frequency: monthly. Unit: %.

The BCB measures the share of the credit portfolio with at least one instalment more than 90 days past due. Both earmarked and non-earmarked credit are included.

Total covers all borrowers. The BCB English catalogue identifies the PJ series as non-financial corporations and the PF series as households.

Each rate uses its own group’s credit portfolio as the denominator. These are percentages of loan balances, not percentages of people or companies.

Total is the aggregate published by the BCB; no simple average of the two borrower-group rates is calculated.

The native monthly percentages are shown directly, without annualization, a 12-month sum, smoothing, rebasing or interpolation. The available history starts in March 2011.

The official SGS API is checked through the dashboard’s monthly update cycle. The last available observations remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 21082, 21083, 21084.

XLVII. Credit loss provisions by institutional control

Monthly provisions as a share of the credit portfolio, by control of the financial institution.

About the data

Variables
Percentual do total de provisões em relação à carteira de crédito do Sistema Financeiro Nacional
Percentual do total de provisões em relação à carteira de crédito das instituições financeiras sob controle público
Percentual do total de provisões em relação à carteira de crédito das instituições financeiras sob controle privado

Each percentage divides total credit loss provisions by the corresponding credit portfolio. Provisions are amounts recognised to cover credit losses.

Total is the BCB’s published aggregate for the National Financial System (SFN). Public and private refer to who controls the financial institution. Each group uses its own credit portfolio as the denominator.

The chart displays the published monthly percentages from June 1988. The adjacent delinquency chart measures overdue balances by borrower group.

From January 2025, the BCB’s accounting framework under CMN Resolution 4,966 uses expected credit losses. The change in provisioning methodology affects comparisons across that date. See the BCB’s March 2025 monetary and credit statistics release.

Latest observations

Indicators

Source: BCB–SGS 13645, 13666, 13684. Monthly, % of credit portfolio.

External sector

XLVIII. Exchange rate (BRL per USD)

XLIX. Real effective exchange rate and unit labor cost

L. Goods exports, imports and trade balance (USD)

Trade in goods, in current USD; rolling 12-month totals.

About the data

Exports
Exportação de bens – Balanço de Pagamentos – mensal
SGS: 22708.
Frequency: monthly.

Imports
Importação de bens – Balanço de Pagamentos – mensal
SGS: 22709.
Frequency: monthly.

Trade balance
Balança comercial – Balanço de Pagamentos – mensal – saldo
SGS: 22707.
Frequency: monthly.

Monthly flows of goods exports, imports and the trade balance, compiled under the BPM6 balance-of-payments framework.

Each series is summed over twelve consecutive months, including the months before the display cutoff where needed, and converted from USD millions to USD billions. Values are nominal, not inflation-adjusted.

A positive trade balance is a surplus; a negative balance is a deficit. Negative values are retained.

BCB balance-of-payments trade data include coverage adjustments and may differ from customs-based figures published directly by the MDIC.

Latest observations

—

Indicators

Source: Brazilian Central Bank (BCB) – Sistema Gerenciador de Séries Temporais (SGS), codes 22708, 22709, 22707.

LI. External trade: relative prices and volumes

A: export prices relative to import prices. B: export and import volumes (quantum). Monthly indices: 2019 = 100.

About the data

Terms of trade
Termos de troca - índice (média 2018 = 100)
Ipeadata: FUNCEX12_TTR12. Monthly; index.

Export quantum
Exportações - quantum - índice (média 2018 = 100)
Ipeadata: FUNCEX12_XQT12. Monthly; index.

Import quantum
Importações - quantum - índice (média 2018 = 100)
Ipeadata: FUNCEX12_MDQT12. Monthly; index.

Terms of trade measure export prices relative to import prices. The published Funcex terms-of-trade series is retained rather than reconstructed from rounded component-price indices.

Quantum is a trade-volume index that removes price changes from export or import values. It does not measure aggregate tonnes.

Each series is divided by its own arithmetic mean across all twelve months of 2019 and multiplied by 100. The base year is complete for all three series.

For terms of trade, 110 means export prices relative to import prices are 10% above the 2019 mean. It does not imply a trade surplus or equal nominal exports and imports.

For each quantum series, 100 is its own average volume in 2019. Equal export and import index levels do not imply equal physical quantities or equal trade values.

Native monthly observations are retained without additional seasonal adjustment, smoothing or interpolation. The display starts in January 1990 and ends at the latest month common to all three series.

The import metadata state that customs-clearance values are used from 1997 onward. This historical source convention is retained without splicing providers.

The upper and lower panels use their own vertical scales to keep changes in relative prices and volumes visible. The 100 lines refer to each series's 2019 mean.

The official Ipeadata API is checked on the dashboard's monthly update cycle. All three complete histories and their 2019 reference months must pass validation before the displayed group is updated. During a temporary source failure, the last complete group remains available.

Data prepared on 5 November 2026. All three source metadata records were updated on 23 October 2026; the latest common observation available on that date was August 2026. The original published base is average 2018 = 100; the displayed base is average 2019 = 100.

Presidential backgrounds identify calendar periods and do not establish causal effects.

Latest observations

—

Source: Funcex via Ipeadata / Ipea. Monthly indices; 2019 = 100.
FUNCEX12_TTR12 · FUNCEX12_XQT12 · FUNCEX12_MDQT12.

LII. Current account and FDI (% of GDP)

LIII. External debt rollover rate (12-month sum)

LIV. International reserves (USD)

Monthly reserve stocks, expressed in current USD.

Inequality and poverty

LV. Income inequality: Gini index

Annual estimates; PNAD and PNAD Continuous series linked by Ipea.

About the data

Gini index
Coeficiente de Gini da renda domiciliar per capita de todas as fontes
Ipeadata: PNADS_GINI.
Frequency: annual.

Annual estimates for Brazil, based on per capita household income from all sources.

Ipea links the former PNAD through 2011 to PNAD Continuous from 2012, using indicator-specific factors calculated in the 2012 overlap. The earlier observations are adjusted estimates.

The original annual frequency is retained. Years without a survey, including 2000 and 2010, have no observations. Lines connect the available annual observations; no missing-year values are created.

The source reports Gini on a 0–100 scale. Values are divided by 100 to display the conventional 0–1 scale; lower values indicate less inequality.

Methodology: Souza and Hecksher (2025), Ipea.

Latest observations

—

Source: Ipea / IBGE household surveys, via Ipeadata: PNADS_GINI.

LVI. Income concentration: Palma ratio

Income share of the richest 10% divided by the income share of the poorest 40%.

About the data

Palma ratio
Razão de Palma da renda domiciliar per capita de todas as fontes
Ipeadata: PNADS_PALMA.
Frequency: annual.

Annual estimates for Brazil, based on per capita household income from all sources.

Ipea links the former PNAD through 2011 to PNAD Continuous from 2012, using indicator-specific factors calculated in the 2012 overlap. The earlier observations are adjusted estimates.

The original annual frequency is retained. Years without a survey, including 2000 and 2010, have no observations. Lines connect the available annual observations; no missing-year values are created.

The Palma ratio compares the two groups’ shares of total income. Higher values indicate greater income concentration.

Methodology: Souza and Hecksher (2025), Ipea.

Latest observations

—

Source: Ipea / IBGE household surveys, via Ipeadata: PNADS_PALMA.

LVII. Poverty and extreme poverty

Poverty: Int$8.30/day; extreme poverty: Int$3.00/day, per person in 2021 PPP international dollars.

About the data

Poverty
Proporção de pessoas abaixo da linha de pobreza de PPC$8,30
Ipeadata: PNADS_PERCPOBRE830.
Frequency: annual.

Extreme poverty
Proporção de pessoas abaixo da linha de pobreza de PPC$3,00
Ipeadata: PNADS_PERCPOBRE300.
Frequency: annual.

Annual estimates for Brazil, based on per capita household income from all sources.

Ipea links the former PNAD through 2011 to PNAD Continuous from 2012, using indicator-specific factors calculated in the 2012 overlap. The earlier observations are adjusted estimates.

The original annual frequency is retained. Years without a survey, including 2000 and 2010, have no observations. Lines connect the available annual observations; no missing-year values are created.

Poverty and extreme poverty are the percentages of the total population with per capita household income below the respective line.

Both thresholds use 2021 purchasing power parities (PPP). In average 2024 prices, the thresholds correspond to BRL 738 and BRL 267 per person per month, respectively.

The extreme-poverty population is included in the poverty population; the two series are not added together.

Methodology: Souza and Hecksher (2025), Ipea.

Latest observations

—

Indicators

Source: Ipea / IBGE household surveys, via Ipeadata: PNADS_PERCPOBRE830, PNADS_PERCPOBRE300.

LVIII. Bolsa Família benefits in December

Brazil’s cash transfer programme; December benefit count in each year.

About the data

Benefits (December)
Programa Bolsa Família (PBF) - número de benefícios em dezembro
Ipeadata: FAM_PBF.
Frequency: annual.

Bolsa Família is Brazil’s cash transfer programme for low-income families. The administrative series includes the Auxílio Brasil period and subsequent return to the Bolsa Família name.

The source is MDS administrative records obtained from the federal Transparency Portal. Suspended benefits are excluded.

Each annual observation is the number of benefits in December of the reference year. The count is divided by one million for display.

The API labels annual observations by year. Each count is positioned in December, its reference month, to align with the government-period shading.

Latest observations

—

Source: MDS / Transparency Portal, via Ipeadata: FAM_PBF.

LIX. Bolsa Família transfers: nominal and real (BRL)

Brazil’s cash transfer programme; monthly totals in BRL billions. Constant prices: latest common month (IPCA).

About the data

Current prices
Programa Bolsa Família (PBF) - valor total mensal dos benefícios
Ipeadata: VAL_PBF12.
Frequency: monthly.

IPCA-adjusted
Programa Bolsa Família (PBF) - valor total mensal dos benefícios
Ipeadata: VAL_PBF12.
Frequency: monthly.

IPCA price adjustment
Monthly consumer price inflation, BCB–SGS 433.

Bolsa Família is Brazil’s cash transfer programme for low-income families. The administrative series includes the Auxílio Brasil period and subsequent return to the Bolsa Família name.

The source is MDS administrative records obtained from the federal Transparency Portal. Suspended benefits are excluded.

Current-price transfers are the published monthly totals. The source unit is BRL thousands, divided by one million to display BRL billions.

The constant-price series uses the compounded monthly IPCA changes from BCB–SGS 433. Each amount is multiplied by the ratio of the price index in the reference month to the index in the observation month.

Price reference: latest common month, the latest month jointly available in the transfers and IPCA series. The reference updates automatically when both sources contain a newer month.

Only months with complete IPCA coverage are converted to constant prices. The original monthly frequency is retained.

Latest observations

—

Indicators

Source: MDS / Transparency Portal, via Ipeadata: VAL_PBF12. Price adjustment: BCB–SGS 433 (IPCA).

LX. Bolsa Família benefit payments by municipality

Number of benefit payments recorded in January–December 2025; annual sum, not unique families.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Quantidade de parcelas pagas do Bolsa Família

Number of payment records across all twelve 2025 payroll months (competência 202501–202512). Each record is one benefit payment. A recipient can appear in several months, and retroactive instalments can appear separately. This is not the number of unique families or people.

Source: CGU Transparency Portal, Novo Bolsa Família payment files. The year is defined by payroll month (competência), including retroactive instalments paid in those months, even where their benefit reference month is earlier. All three municipal maps use exactly the same payment records and January–December period.

Municipalities are matched using the official Treasury SIAFI-to-IBGE correspondence. These transaction-based CGU records differ from the MDS/Ipeadata count of families in a single month; the two definitions are not automatically substituted for each other.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Green indicates lower values and red higher values. Log(1 + value) colour spacing is centred on the national municipal median.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Fixed full-year reference: 2025, using all twelve official monthly payment files.

This annual dataset remains available and is distinct from the December-only series.

Reference and data preparation

Reference: January–December 2025. Data prepared on 31 October 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Missing data

Source: CGU — Transparency Portal, monthly 2025 payment files.
CGU Novo Bolsa Família payroll CSV, count of payment rows by MÊS COMPETÊNCIA.

LXI. Bolsa Família transfers by municipality (BRL)

Total paid in January–December 2025; current BRL (colourbar: BRL million).

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Valor total das parcelas pagas do Bolsa Família

Sum of nominal payments in BRL across all twelve 2025 payroll months (competência 202501–202512). Monetary amounts are aggregated as integer cents before conversion to BRL. The colourbar displays BRL million; municipality details display BRL.

Source: CGU Transparency Portal, Novo Bolsa Família payment files. The year is defined by payroll month (competência), including retroactive instalments paid in those months, even where their benefit reference month is earlier. All three municipal maps use exactly the same payment records and January–December period.

Municipalities are matched using the official Treasury SIAFI-to-IBGE correspondence. These transaction-based CGU records differ from the MDS/Ipeadata count of families in a single month; the two definitions are not automatically substituted for each other.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Green indicates lower values and red higher values. Log(1 + value) colour spacing is centred on the national municipal median.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Fixed full-year reference: 2025, using all twelve official monthly payment files.

This annual dataset remains available and is distinct from the December-only series.

Reference and data preparation

Reference: January–December 2025. Data prepared on 31 October 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Missing data

Source: CGU — Transparency Portal, monthly 2025 payment files.
CGU Novo Bolsa Família payroll CSV, VALOR PARCELA.

LXII. Average Bolsa Família payment by municipality (BRL)

2025 total paid / 2025 number of benefit payments; BRL per payment.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Valor total das parcelas pagas do Bolsa Família
Quantidade de parcelas pagas do Bolsa Família

Total municipal payments in BRL in the twelve 2025 payroll months divided by the number of payment records in the same twelve months. This is a payment-weighted annual mean, calculated before rounding. It is not annual income per unique family and not a simple mean of the twelve monthly means. Zero denominators are treated as missing.

Source: CGU Transparency Portal, Novo Bolsa Família payment files. The year is defined by payroll month (competência), including retroactive instalments paid in those months, even where their benefit reference month is earlier. All three municipal maps use exactly the same payment records and January–December period.

Municipalities are matched using the official Treasury SIAFI-to-IBGE correspondence. These transaction-based CGU records differ from the MDS/Ipeadata count of families in a single month; the two definitions are not automatically substituted for each other.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Green indicates lower values and red higher values. Linear colour spacing is centred on the national municipal median.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Fixed full-year reference: 2025, using all twelve official monthly payment files.

This annual dataset remains available and is distinct from the December-only series.

Reference and data preparation

Reference: January–December 2025. Data prepared on 31 October 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Missing data

Source: CGU — Transparency Portal, monthly 2025 payment files.
CGU Novo Bolsa Família payroll CSV, VALOR PARCELA and count of payment rows.

Education

LXIII. Education completion by level

Share completing each level among its reference-age cohort; observations through 2024.

About the data

Variables
Taxa de conclusão dos anos iniciais do ensino fundamental
Taxa de conclusão dos anos finais do ensino fundamental
Taxa de conclusão do ensino médio

Primary
Completion rate, primary education, both sexes (%)
UNESCO UIS.
Frequency: annual.

Lower secondary
Completion rate, lower secondary education, both sexes (%)
UNESCO UIS.
Frequency: annual.

Upper secondary
Completion rate, upper secondary education, both sexes (%)
UNESCO UIS.
Frequency: annual.

For each level, UIS measures the share who completed its final grade among people aged three to five years above the intended age for that grade.

Primary, lower secondary and upper secondary therefore use different reference-age groups. The curves are not parts of one total and should not be added.

These are completion percentages, not annual graduation rates or average years of study. They are not directly comparable to the adult mean in the next chart.

Only published observations are shown. Lines connect available observations; missing-year values are not created.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: UNESCO Institute for Statistics (UIS).
CR.1 · CR.2 · CR.3.

LXIV. Basic education development index (Ideb)

Brazil, public and private schools combined, 2005–2025.

LXV. Mean years of schooling (PNAD, age 25+)

Average years of study among all adults aged 25+, regardless of employment; through 2025.

About the data

Variables
Número médio de anos de estudo das pessoas de 25 anos ou mais — total
Número médio de anos de estudo das pessoas de 25 anos ou mais — homens
Número médio de anos de estudo das pessoas de 25 anos ou mais — mulheres

Total
Mean years of schooling, people aged 25 or older — Total
IBGE / SIDRA, table 7126.
Frequency: annual.

Men
Mean years of schooling, people aged 25 or older — Men
IBGE / SIDRA, table 7126.
Frequency: annual.

Women
Mean years of schooling, people aged 25 or older — Women
IBGE / SIDRA, table 7126.
Frequency: annual.

IBGE publishes the mean number of years of study for people aged 25 or older, for the total population and separately for men and women. The population includes people outside formal employment.

The unit is years per person. No conversion from schooling categories is made by this dashboard; the curves retain the published IBGE means.

The source has no observations for 2020 or 2021. Lines connect published observations; missing years are not estimated.

This adult population measure differs from both the level-specific completion cohorts above and the formal job links below. Differences between these charts are not schooling premiums.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: IBGE, PNAD Continuous Survey (SIDRA table 7126).
SIDRA 7126 / 3593.

LXVI. Mean years of schooling by municipality (age 25+)

Mean years of study among people aged 25 or more; Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Número médio de anos de estudo das pessoas de 25 anos ou mais de idade

Mean years of schooling among people aged 25 or more, both sexes and all races/colours. The age selection is 25+ even though the general source variable also supports younger age groups.

Source: IBGE Population Census, SIDRA table 10062, variable 13285, age category 58=108866. The 2022 data use preliminary sample results. These municipal Census observations have a different statistical source and geographic scope from the PNAD national time series above.

The 21 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Newly published periods and revisions appear after a successful source check.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 29 October 2026.

State

Light lavender → blue → dark green: lower to higher.
21 equal-width national bands.

Missing data

Source: IBGE — Population Census; 2022 boundaries.
SIDRA 10062, variable 13285, age category 108866.

LXVII. Gross school attendance rate by municipality (ages 15–17)

Residents aged 15–17 attending school at any education level; % of the same-age population, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Taxa de frequência escolar bruta das pessoas de 15 a 17 anos de idade

The gross attendance rate is the share of residents in the selected age group who attend school, irrespective of the level attended. The denominator is all residents aged 15–17.

It is not the upper-secondary net attendance rate and does not measure completion or attendance only at the expected education level.

The official published municipal percentages are retained. They are estimates from the Census 2022 sample; no municipal rates are averaged to calculate Brazil.

All sexes and all colour/race categories are selected through their published total categories.

The 12 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Light lavender → blue → dark green: lower to higher.
12 equal-width national bands.

Missing data

Source: IBGE — SIDRA 10056; official API 1.
SIDRA 10056, variable 3795, age category 2792.

LXVIII. Illiteracy rate by municipality (ages 15–19)

100 minus the published literacy rate for residents aged 15–19; % of the same-age population, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Taxa de alfabetização das pessoas de 15 a 19 anos de idade

SIDRA table 9543 publishes literacy, not illiteracy. This map is a derived indicator: illiteracy rate (%) = 100 − published literacy rate (%), using the 15–19 age category.

Literacy concerns the ability to read and write at least a simple note in a language the person knows. The denominator is all residents aged 15–19.

The derivation retains the source rate’s two decimal places. It is not calculated from rounded person counts, and the national reference is derived from the separately published Brazil rate.

This indicator comes from the Census 2022 full-count literacy results. All sexes and all colour/race categories are selected through their published total categories.

6 fixed national bands for positive values. The highest band is open. State filters retain the national cutoffs. Pale blue-grey marks observed zero.

Very light grey marks missing data.

All class limits use municipalities across Brazil. Filtering a state preserves that national reference.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Light lavender → blue → dark green: lower to higher.
6 fixed national bands for positive values.

Observed zero

Missing data

Source: IBGE — SIDRA 9543; official API 1.
SIDRA 9543, variable 2513, age category 93086.

LXIX. Formal employment by schooling group (RAIS)

Share of formal job links by schooling group; active on 31 December, 2014–2025.

About the data

Variables
Participação dos vínculos formais ativos em 31 de dezembro — ensino fundamental incompleto
Participação dos vínculos formais ativos em 31 de dezembro — ensino fundamental completo
Participação dos vínculos formais ativos em 31 de dezembro — ensino médio completo
Participação dos vínculos formais ativos em 31 de dezembro — ensino superior completo ou mais

Below completed fundamental
Fundamental incompleto
MTE / RAIS.
Frequency: annual.

Fundamental completed
Fundamental completo
MTE / RAIS.
Frequency: annual.

Secondary completed
Médio completo
MTE / RAIS.
Frequency: annual.

Tertiary completed or higher
Superior completo ou mais
MTE / RAIS.
Frequency: annual.

RAIS counts formal employment links active on 31 December. A person holding two active formal jobs may contribute two links.

Each curve is a schooling group’s share of the national job-link total. The four mutually exclusive groups sum to 100%; they describe jobs, not the whole adult population.

Brazilian fundamental education covers primary and lower secondary schooling. The four labels are the broad groups supplied by the dashboard. Reconciliation with the official 2025 RAIS presentation supports interpreting incomplete study at the next level within the preceding completed-level group.

No schooling groups are converted to years of study here. RAIS/eSocial reporting changes may affect comparisons over time.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: MTE, RAIS.
RAIS abs_rais_emp_formal, Escolaridade.

Health

LXX. Life expectancy at birth

Total, male and female; annual internationally harmonised estimates through 2024.

About the data

Variables
Esperança de vida ao nascer — total
Esperança de vida ao nascer — homens
Esperança de vida ao nascer — mulheres

Total
Life expectancy at birth, total (years)
World Bank WDI.
Frequency: annual.

Men
Life expectancy at birth, male (years)
World Bank WDI.
Frequency: annual.

Women
Life expectancy at birth, female (years)
World Bank WDI.
Frequency: annual.

Life expectancy at birth is the number of years a newborn would live if the mortality rates prevailing at birth remained constant throughout life.

These internationally harmonised UN population estimates are distributed by the World Bank World Development Indicators API. They are not the IBGE life-table series; values and revisions can differ.

Reference years follow the source observations; database update dates are not observation years. Total is the source-published series, not an average calculated from the male and female curves.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: UN World Population Prospects / national statistical sources; via World Bank WDI.
SP.DYN.LE00.IN · SP.DYN.LE00.MA.IN · SP.DYN.LE00.FE.IN.

LXXI. Child mortality

Infant, neonatal and under-five mortality; estimates per 1,000 live births through 2024.

About the data

Variables
Taxa de mortalidade de menores de 5 anos
Taxa de mortalidade infantil (menores de 1 ano)
Taxa de mortalidade neonatal (primeiros 28 dias de vida)

Under age 5
Mortality rate, under-5 (per 1,000 live births)
World Bank WDI.
Frequency: annual.

Under age 1
Mortality rate, infant (per 1,000 live births)
World Bank WDI.
Frequency: annual.

First 28 days
Mortality rate, neonatal (per 1,000 live births)
World Bank WDI.
Frequency: annual.

Published estimates from the UN Inter-agency Group for Child Mortality Estimation, distributed through the World Bank WDI API.

Infant mortality covers deaths before age 1; neonatal mortality covers deaths during the first 28 completed days; under-five mortality is the probability of dying before age 5, expressed per 1,000 live births.

The age bands overlap. Neonatal deaths are included in infant deaths, and infant deaths are included in under-five deaths. The three curves must not be added.

Only source-published annual estimates are used. Missing or unreleased years are not extrapolated.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: UN Inter-agency Group for Child Mortality Estimation (UN IGME); via World Bank WDI.
SH.DYN.MORT · SP.DYN.IMRT.IN · SH.DYN.NMRT.

LXXII. Childhood immunisation

DPT3 and first measles dose; WHO/UNICEF coverage estimates through 2025.

About the data

Variables
Cobertura da terceira dose da vacina contra difteria, tétano e coqueluche (DTP3)
Cobertura da primeira dose da vacina contra sarampo (MCV1)

DPT, three doses
DPT, three doses
WHO / UNICEF.
Frequency: annual.

Measles, first dose
Measles, first dose
WHO / UNICEF.
Frequency: annual.

WHO/UNICEF estimates of national immunisation coverage, directly from the UNICEF SDMX API. The API flags these as estimated values (E), rather than direct Brazilian administrative coverage.

DPT3 requires three doses. MCV1 is the first measles-containing vaccine dose. Both selected series use the source age dimension M12T23 (12–23 months).

Data prepared on 29 October 2026. Both curves use the WHO/UNICEF 2025 revision throughout the 1995–2025 history. Each source check retrieves the full history from one revision; older WDI estimates are not spliced into either curve.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: WHO/UNICEF national immunisation coverage estimates.
DTP3 · MCV1.

LXXIII. Physicians, nurses and dentists

CNES-registered professionals per 10,000 residents; annual averages through 2025.

About the data

Variables
Médicos por 10.000 habitantes (proj. pop. 2024)
Enfermeiros por 10.000 habitantes
Dentistas por 10.000 habitantes

Physicians
Physicians
Ipeadata.
Frequency: annual.

Nurses
Nurses
Ipeadata.
Frequency: annual.

Dentists
Dentists per 10,000 residents
Ipeadata.
Frequency: annual.

CNES is Brazil’s national health-facility register. These densities concern professionals recorded at health facilities, rather than everyone licensed by professional councils.

All three series are annual averages of monthly professional densities per 10,000 residents, using IBGE population projections, 2024 edition.

The physician series uses the CNES individuals-by-CBO-2002 selection and is not restricted to professionals working exclusively in SUS, Brazil’s public health system.

Registration does not measure full-time equivalent staffing, geographic access or quality of care.

Automatic API checks use the same monthly cycle as the rest of the dashboard, beginning on the 20th in America/Fortaleza. New observations appear when the source releases them.

Lines connect published observations; missing years are not estimated. The last available data remain displayed during temporary source outages.

Latest observations

—

Indicators

Source: CNES/DATASUS and IBGE; via Ipeadata.
SUS_NMMED10MHUF · SIS_NMENF1000HUF · SIS_NMODN1000HUF.

LXXIV. Health facilities serving SUS by type of care

Brazil. Annual averages of monthly facility counts through 2025. Categories can overlap.

About the data

Variables
Número de estabelecimentos de atendimento ambulatorial pelo SUS
Número de estabelecimentos de internação pelo SUS
Número de estabelecimentos de urgência pelo SUS
Número de estabelecimentos de diagnose e terapia pelo SUS

Ipeadata publishes annual averages of monthly facility counts for Brazil. Its source is IBGE’s Social Indicators Synthesis through 2021 and DATASUS from 2022.

The categories cover outpatient care, inpatient care, emergency care, and diagnosis and therapy delivered through SUS, Brazil’s public health system.

A facility can offer more than one type of care. Each curve is a separate count. Counts are shown in thousands.

Latest observations

Indicators

Source: CNES/DATASUS via Ipeadata. SIS_ESTATAMBUF, SIS_ESTABINTSUSUF, SIS_ESTABURGSUSUF, SIS_ESTABDTSUSUF.

LXXV. Total and SUS inpatient beds

Brazil. Annual inpatient beds per 10,000 residents through 2025.

LXXVI. SUS inpatient beds by municipality

SUS inpatient beds per 10,000 residents, September 2026.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its bed rate.

About the data

Variables
Quantidade de leitos de internação do SUS
População residente estimada

SUS inpatient beds registered in CNES for September 2026 per 10,000 municipal residents estimated by IBGE on 1 July 2026 (SIDRA table 6579).

The numerator sums QT_SUS at the municipality of the health establishment across all 27 federation units (26 states and the Federal District). It follows the TabNet inpatient-bed scope: surgical, clinical, obstetric, paediatric, other specialty and day-hospital beds. Complementary beds, such as ICU beds, are reported in a separate CNES table.

A zero means no SUS inpatient bed in those categories was registered in CNES for that municipality and competence. Residents may receive care in other municipalities. The rates measure registered local capacity, not occupancy or access.

September 2026 was the latest competence with all 27 state files available when checked on 6 November 2026. This monthly snapshot differs from the annual averages in the national chart.

6 fixed national bands for positive values. The highest band is open. State filters retain the national cutoffs. Pale blue-grey marks observed zero.

Very light grey marks missing data.

The map uses IBGE 2022 boundaries. Boa Esperança do Norte (MT) appears in the 2026 data and has no separate polygon in this boundary set.

Reference and coverage

Reference: September 2026. 5,570 / 5,570 municipalities with data.

State

Light lavender → blue → dark green: lower to higher.
6 fixed national bands for positive values.

Observed zero

Missing data

Source: CNES/DATASUS · IBGE SIDRA 6579. Boundaries: IBGE 2022.
CNES LT (September 2026), QT_SUS, TP_LEITO categories 1, 2, 4, 5, 6 and 7 · IBGE SIDRA table 6579, variable 9324 (July 2026).

Population

LXXVII. Resident population by municipality (natural logarithm)

Natural logarithm of resident population; all nationalities, sexes and ages, Census 2022. Hover shows the original person count.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
População residente

The selected nationality category is Total, combining all nationalities. Sex and age are also Total.

The mapped value is ln(population), using the natural logarithm of the published person count. It is not ln(1 + population).

The colourbar shows logarithmic values; hover/tap also reports the original count in people. All municipal total counts are positive.

The 21 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Light lavender → blue → dark green: lower to higher.
21 equal-width national bands.

Missing data

Source: IBGE — SIDRA 10157; official API 1.
SIDRA 10157, variable 93.

LXXVIII. Population pyramid by sex and age — Brazil, Census 2022

Men on the left, women on the right; each age-sex group as a share of Brazil’s total population.

About the data

Variables
População residente por grupo de idade — homens
População residente por grupo de idade — mulheres

The national population is divided into 21 non-overlapping age groups: twenty five-year groups from 0–4 to 95–99, followed by the open group 100 years or older.

Both sides use the same denominator: Brazil’s population of both sexes and all ages, 203,080,756 residents in Census 2022. The shares are not normalised separately within each sex.

The two sides add to 100% across all age groups. The totals are 98,532,431 men (48.52%) and 104,548,325 women (51.48%).

Men appear on the left in black and women on the right in grey. The horizontal scale is symmetric, and labels show positive percentages on both sides.

Hover or tap identifies sex, age group, the original positive resident count and its percentage of the common national denominator.

The youngest group is at the bottom and residents aged 100 or older are at the top. No smoothing, interpolation, seasonal adjustment or annual projection is applied.

The official IBGE API is checked for revisions to the fixed 2022 dataset. The last available data remain displayed if the source is temporarily unavailable.

Reference dataset

Census 2022 · Brazil

Sex

Men — left; share of total population Women — right; share of total population

Source: IBGE–SIDRA 9514, Census 2022; official API.
IBGE SIDRA 9514, v93.

LXXIX. Total fertility rate in Brazil and its major regions

IBGE 2024 revision. Historical estimates through 2022, followed by projections to 2040.

About the data

Variables
Taxa de fecundidade total — Brasil
Taxa de fecundidade total — Norte
Taxa de fecundidade total — Nordeste
Taxa de fecundidade total — Sudeste
Taxa de fecundidade total — Sul
Taxa de fecundidade total — Centro-Oeste

The total fertility rate represents the number of children a woman would have over her lifetime if she experienced the age-specific fertility rates of the reference year. The IBGE series combines demographic estimates through 2022 and a projection scenario from 2023 onward.

The replacement level is an approximate benchmark of 2.1 children per woman. Future points represent projections in the 2024 revision, which predates subsequent population and fertility releases.

Latest observations

Indicators

Source: IBGE — Population Projections, 2024 revision (implicit indicators workbook) · IBGE — Methodology, 2024 revision (table 2).
2024 Population Projections, table 4 (total fertility rate).

LXXX. Mean residents per private household by municipality

Average number of residents per private household; all household-reference-person ages, sexes and colours or races, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Média de moradores em domicílios particulares

The age, sex and colour-or-race filters refer to the household reference person. All are set to Total.

The variable is the published mean number of people per private household, not a percentage or a municipal population count.

The national value is the published IBGE result. The unweighted mean of municipal averages is not used as the national figure.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

Colours show this indicator’s magnitude. The national municipal median gives one observation to each municipality with data; it is not a population-weighted national average. State filters retain the national colour reference.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Source: IBGE — SIDRA 9877; official API 1.
SIDRA 9877, variable 9325.

LXXXI. Population aged 65+ by municipality

Residents aged 65+ as a share of the municipal population; %, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
População residente de 65 anos ou mais de idade
População residente total

Residents aged 65 years or older.

All residents.

Calculated as 100 × numerator / denominator, using unrounded official counts.

Age in completed years at the Census 2022 reference date. Covers the full resident population, including collective households.

Fixed reference: Census 2022; the map must not automatically advance to a later census or population estimate.

Colours indicate the magnitude of this indicator, not a ranking of municipal performance or welfare.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Linear colour spacing on either side of the national municipal median; green indicates lower values and red higher values.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Revisions to the 2022 observations appear after a successful source check; the Census reference remains fixed at 2022.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 31 October 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Source: IBGE — Census 2022, SIDRA 9514; official API 1, official API 2.
SIDRA 9514, variable 93, age classification 287.

LXXXII. Ageing index by municipality

Residents aged 65+ per 100 children aged 0–14; Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
População residente de 65 anos ou mais de idade
População residente de 0 a 14 anos de idade

Residents aged 65 years or older.

Residents aged 0–14 years.

Calculated as 100 × numerator / denominator, using unrounded official counts.

Calculated from official age counts; checked against SIDRA table 9515, variable 10612. It is a demographic ratio, not a percentage of the whole population.

Fixed reference: Census 2022; the map must not automatically advance to a later census or population estimate.

Colours indicate the magnitude of this indicator, not a ranking of municipal performance or welfare.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Linear colour spacing on either side of the national municipal median; green indicates lower values and red higher values.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Revisions to the 2022 observations appear after a successful source check; the Census reference remains fixed at 2022.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 31 October 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Source: IBGE — Census 2022, SIDRA 9514; official API 1, official API 2.
SIDRA 9514, variable 93, age classification 287.

LXXXIII. Age dependency ratio by municipality

Residents aged 0–14 or 65+ per 100 residents aged 15–64; Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
População residente de 0 a 14 anos de idade
População residente de 65 anos ou mais de idade
População residente de 15 a 64 anos de idade

Residents aged 0–14 plus residents aged 65 years or older.

Residents aged 15–64 years.

Calculated as 100 × numerator / denominator, using unrounded official counts.

Demographic age dependency only; age brackets do not establish actual employment, economic activity or financial dependence.

Fixed reference: Census 2022; the map must not automatically advance to a later census or population estimate.

Colours indicate the magnitude of this indicator, not a ranking of municipal performance or welfare.

The colourbar is centred on the national median of available municipal indicator values. Each municipality contributes one observation; with an even number of observations, the median is the average of the two central values. The reference, minimum and maximum remain fixed when a state is selected.

Linear colour spacing on either side of the national municipal median; green indicates lower values and red higher values.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Revisions to the 2022 observations appear after a successful source check; the Census reference remains fixed at 2022.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 31 October 2026.

State

Green: lower values · red: higher values.
Centre: national municipal median.

Source: IBGE — Census 2022, SIDRA 9514; official API 1, official API 2.
SIDRA 9514, variable 93, age classification 287.

LXXXIV. Residents who have ever lived outside the municipality (%)

Residents who have ever lived elsewhere / all municipal residents × 100; all ages and residence durations, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Pessoas que já residiram fora do município
População residente

Derived as 100 × people who have ever lived outside the municipality (SIDRA 3182, variable 1458, all durations) / resident population (SIDRA 10157, variable 93).

All sexes and ages are selected. This includes return migrants and moves from other municipalities or countries.

No minimum time spent outside is imposed. Duration in table 3182 refers to uninterrupted residence in the current municipality.

The source percentage describes the distribution of residents who have lived elsewhere and equals 100% for Total. This population-share indicator uses published person counts instead.

Both counts come from the same Census migration publication. They are rounded sample estimates; resulting proportions inherit this rounding.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

Colours show this indicator’s magnitude. The national municipal median gives one observation to each municipality with data; it is not a population-weighted national average. State filters retain the national colour reference.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Red: lower values · green: higher values.
Centre: national municipal median.

Source: IBGE — SIDRA 3182, SIDRA 10157; official API 1, official API 2.
SIDRA 3182, variable 1458 · SIDRA 10157, variable 93.

LXXXV. Residents aged 5+ who lived elsewhere five years earlier (%)

Residents aged 5+ living elsewhere in 2017 / all municipal residents aged 5+ × 100; fixed-date migration, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Pessoas de 5 anos ou mais de idade que não residiam no município 5 anos antes da data de referência
População residente total e de 0 a 4 anos de idade

Derived as 100 × people aged 5+ who did not live in the current municipality five years before the Census reference (SIDRA 10160, variable 13435) / municipal residents aged 5+.

The denominator is Total minus ages 0–4 in SIDRA 10157, variable 93, using the same Census sample publication.

The comparison is residence in 2017 and 2022, including previous residence in another municipality or abroad. It does not count every move made during the interval.

The original percentage variable describes the age/sex distribution of these migrants and equals 100% for Total. This map uses the derived population share.

Published person estimates are rounded; small national-versus-municipal sum differences are retained.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

The 12 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Light lavender → blue → dark green: lower to higher.
12 equal-width national bands.

Missing data

Source: IBGE — SIDRA 10160, SIDRA 10157; official API 1, official API 2, official API 3.
SIDRA 10160, variable 13435 · SIDRA 10157, variable 93, age categories 95253 and 1140.

LXXXVI. Foreign-national share of residents by municipality (%)

Foreign nationals as a share of all municipal residents; all sexes and ages, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
População residente de nacionalidade estrangeira — percentual do total geral

The nationality category is Estrangeira (foreign), SIDRA category 6833. Sex and age are both Total.

The denominator is the full resident population of each municipality, across all nationalities.

Nationality differs from place of birth. Brazilian-born or foreign-born Brazilian nationals, including naturalised Brazilians, are not counted as foreign nationals.

The published percentage is retained at five-decimal API precision. Hover values show five decimals; fixed class limits use two decimals.

Observed zero percentages appear in pale blue-grey. They remain included in municipal coverage and the original data, but are excluded from the calculation of the positive colour classes. Missing values are never filled with zero.

Positive values use nine fixed intervals: up to 0.1%; above 0.1% to 0.25%; above 0.25% to 0.5%; above 0.5% to 0.75%; above 0.75% to 1%; above 1% to 5%; above 5% to 10%; above 10% to 20%; and above 20%.

These fixed classes have unequal counts and are not deciles. All original percentages, including the smallest positive value and the maximum, retain their native five-decimal API precision in hover/tap. No value is capped or replaced.

Each upper limit is included in the lower class. The first colour class contains only values strictly greater than zero. The last class is open above 20%, and empty fixed intervals are retained. Filtering a state preserves these same limits.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

Colours use nine fixed positive-share intervals, including separate bands above 10% to 20% and above 20%. Upper limits belong to the lower class. Observed zeros appear in pale blue-grey and count toward coverage. Original percentages retain five-decimal precision in hover/tap; state filtering preserves the same limits.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Light lavender → blue → dark green: lower to higher.
Nine fixed positive-share bands: 0.1%, 0.25%, 0.5%, 0.75%, 1%, 5%, 10%, 20%; then >20%.
Pale blue-grey marks observed zero.

Observed zero foreign nationals

Missing data

Source: IBGE — SIDRA 10157; official API 1.
SIDRA 10157, variable 1000093, nationality category 6833.

LXXXVII. Religious affiliation among residents aged 25+ by municipality

Roman Catholics as a share of residents aged 25 or older; all sexes and educational-attainment levels, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Pessoas de 25 anos ou mais de idade — percentual do total geral (Católica Apostólica Romana)

The denominator is the population aged 25 or older in each municipality, across all religions; it is not the all-age municipal population.

Estimates come from the preliminary Census 2022 sample. Sex and educational attainment are both set to Total. The IBGE category Umbanda and Candomblé also includes other Afro-Brazilian religions.

Hover or tap for the percentage published by IBGE, with up to five decimal places.

This age universe differs from other general Census religion releases that cover residents aged 10 or older.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

Each category has 15 equal-width national bands spanning its observed minimum and maximum. Colours show ranges for the selected category. State filters retain its national limits. Legend labels are rounded for display.

Very light grey marks missing data.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

Religion State

Light lavender → blue → dark green: lower to higher.
15 equal-width national bands.

Missing data

Source: IBGE — SIDRA 10199; official API 1.
SIDRA 10199, variable 1001643, religion category 95263.

Violence and external causes of death

LXXXVIII. Police-recorded victims of crimes classified as femicide

Brazil, 2019–2025; annual victims in police records, using the source’s crime classification.

About the data

Variables
Número de vítimas em ocorrências policiais classificadas como feminicídio

Annual sum of total_vitima for the exact source event Feminicídio; attempted femicide is excluded. Victims are counted, not police reports.

The source retains its police crime classification, including records with male victims. In 2025 there are 1,566 female, 8 male and 4 unspecified victims, totalling 1,578.

This series is distinct from female homicide deaths recorded by SIM. The sources use different classification processes and must not be added or treated as interchangeable.

The series begins in 2019 to avoid known earlier reporting gaps for Ceará and Tocantins. Each retained year includes records from all 26 states and the Federal District for all 12 calendar months; 2026 is excluded because it is incomplete.

The reporting location is the state supplied by the public-security authorities, not necessarily the victim’s municipality or state of residence.

Numbers remain subject to revisions and differences in classification and reporting practices. A change in recorded victims alone does not identify a causal effect of a policy.

Data prepared on 5 November 2026.

Latest observations

2025

Indicators

Source: MJSP / Sinesp VDE.
Sinesp VDE total_vitima, Feminicídio.

LXXXIX. Homicide mortality by sex

Brazil, 2000–2025; crude deaths per 100,000 people in each group.

About the data

Variables
Taxa bruta de mortalidade por homicídios — homens
Taxa bruta de mortalidade por homicídios — mulheres
Taxa bruta de mortalidade por homicídios — total

Assaults, legal intervention and war operations (ICD-10 X85–Y09 and Y35–Y36).

The three curves are calculated consistently from the official SIM annual files for 2000–2025. They do not splice the earlier Atlas API rates into newer SIM counts.

Numerators are nonfetal deaths in the reference year, classified by the underlying cause and sex. Residence codes must have a valid Brazilian state prefix; municipality-unknown records within a known state remain in the national totals.

Each denominator is the corresponding year and sex from the same IBGE population projection revision (2024), reference date 1 July. These are annual estimates/projections, not Census 2022 counts carried to other years.

Men and women use their respective populations. Total uses the full resident population and includes deaths of unspecified sex. It is not an unweighted mean of the sex-specific rates.

Rates are crude and are not age-standardised. No correction for underregistration or deaths of undetermined intent is applied.

The 2025 SIM release is preliminary and uses the official DO25OPEN file, with observations in all 12 calendar months. Dotted final segments identify 2025; the values remain subject to source revisions.

Data prepared on 5 November 2026.

2025 source release: official SIM DO25OPEN file. Preliminary annual data, with records from January through December 2025.

Latest observations

2025 — preliminary

Indicators

Source: Ministry of Health / SIM; IBGE, population revision 2024.
SIM CAUSABAS, ICD-10 X85–Y09 and Y35–Y36 · DO25OPEN (2025) · IBGE Population Projections, 2024 revision.

XC. Suicide mortality by sex

Brazil, 2000–2025; crude deaths per 100,000 people in each group.

About the data

Variables
Taxa bruta de mortalidade por suicídios — homens
Taxa bruta de mortalidade por suicídios — mulheres
Taxa bruta de mortalidade por suicídios — total

Intentional self-harm (ICD-10 X60–X84).

The three curves are calculated consistently from the official SIM annual files for 2000–2025. They do not splice the earlier Atlas API rates into newer SIM counts.

Numerators are nonfetal deaths in the reference year, classified by the underlying cause and sex. Residence codes must have a valid Brazilian state prefix; municipality-unknown records within a known state remain in the national totals.

Each denominator is the corresponding year and sex from the same IBGE population projection revision (2024), reference date 1 July. These are annual estimates/projections, not Census 2022 counts carried to other years.

Men and women use their respective populations. Total uses the full resident population and includes deaths of unspecified sex. It is not an unweighted mean of the sex-specific rates.

Rates are crude and are not age-standardised. No correction for underregistration or deaths of undetermined intent is applied.

The 2025 SIM release is preliminary and uses the official DO25OPEN file, with observations in all 12 calendar months. Dotted final segments identify 2025; the values remain subject to source revisions.

Data prepared on 5 November 2026.

2025 source release: official SIM DO25OPEN file. Preliminary annual data, with records from January through December 2025.

Latest observations

2025 — preliminary

Indicators

Source: Ministry of Health / SIM; IBGE, population revision 2024.
SIM CAUSABAS, ICD-10 X60–X84 · DO25OPEN (2025) · IBGE Population Projections, 2024 revision.

XCI. Male deaths from assault by municipality

Male deaths from assault per 100,000 male residents; municipality of residence, 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value, death count and population denominator.

About the data

Variables
Óbitos de homens por agressões
População residente masculina

Men only: SIM sex code 1. Underlying cause X85–Y09 (assault); legal intervention Y35 is not included in this map.

12 fixed national bands shared by the four mortality maps. Observed zero has its own band. The scale spans the lowest and highest rates observed across the four maps. State filters retain these limits. Labels are rounded for display.

Each sex uses its own Census 2022 population denominator.

Very light grey marks missing data.

Calculated as recorded male assault deaths ÷ male municipal residents × 100,000.

Fixed annual reference: 2022. The numerator is recorded non-fetal deaths in the official SIM 2022 open-data file, selected by the underlying cause of death (CAUSABAS) and municipality of residence (CODMUNRES).

The population denominator comes from IBGE Census 2022, SIDRA table 9514, variable 93, all ages and total age declaration. Numerator and denominator both refer to 2022.

The displayed measure is a derived crude annual rate, not an age-standardised rate. It is not a percentage. Annual death rates may fluctuate sharply in municipalities with small populations and few deaths.

Zero means no selected deaths recorded for that municipality in this source file. Observed zeros count toward coverage, fall in the first band, and retain their zero rate, death count and population in hover/tap. This does not prove the absence of violence or perfect ascertainment. Missing observations are never filled with zero.

Deaths without a compatible known municipality of residence cannot be assigned to a municipal rate and are not distributed across municipalities. Municipal sums can therefore differ from national source totals.

Data prepared on 5 November 2026. Sources: official SIM release and IBGE Census 2022 population. The reference year remains 2022.

Reference and coverage

Reference: annual 2022.

State

Light lavender → blue → dark green: lower to higher.
12 fixed national bands shared by the four mortality maps.

Missing data

Source: Ministry of Health / SIM, official 2022 file; population: IBGE / SIDRA 9514 API.
SIM, CAUSABAS ICD-10 X85–Y09, SEXO 1, CODMUNRES · SIDRA 9514, variable 93, sex category 4.

XCII. Female deaths from assault by municipality

Female deaths from assault per 100,000 female residents; municipality of residence, 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value, death count and population denominator.

About the data

Variables
Óbitos de mulheres por agressões
População residente feminina

Women only: SIM sex code 2. Underlying cause X85–Y09 (assault); legal intervention Y35 is not included in this map.

12 fixed national bands shared by the four mortality maps. Observed zero has its own band. The scale spans the lowest and highest rates observed across the four maps. State filters retain these limits. Labels are rounded for display.

Each sex uses its own Census 2022 population denominator.

Very light grey marks missing data.

Calculated as recorded female assault deaths ÷ female municipal residents × 100,000.

Female assault deaths in SIM are not equivalent to police-classified femicides. The death-certificate cause alone does not identify the legal classification or motive.

Fixed annual reference: 2022. The numerator is recorded non-fetal deaths in the official SIM 2022 open-data file, selected by the underlying cause of death (CAUSABAS) and municipality of residence (CODMUNRES).

The population denominator comes from IBGE Census 2022, SIDRA table 9514, variable 93, all ages and total age declaration. Numerator and denominator both refer to 2022.

The displayed measure is a derived crude annual rate, not an age-standardised rate. It is not a percentage. Annual death rates may fluctuate sharply in municipalities with small populations and few deaths.

Zero means no selected deaths recorded for that municipality in this source file. Observed zeros count toward coverage, fall in the first band, and retain their zero rate, death count and population in hover/tap. This does not prove the absence of violence or perfect ascertainment. Missing observations are never filled with zero.

Deaths without a compatible known municipality of residence cannot be assigned to a municipal rate and are not distributed across municipalities. Municipal sums can therefore differ from national source totals.

Data prepared on 5 November 2026. Sources: official SIM release and IBGE Census 2022 population. The reference year remains 2022.

Reference and coverage

Reference: annual 2022.

State

Light lavender → blue → dark green: lower to higher.
12 fixed national bands shared by the four mortality maps.

Missing data

Source: Ministry of Health / SIM, official 2022 file; population: IBGE / SIDRA 9514 API.
SIM, CAUSABAS ICD-10 X85–Y09, SEXO 2, CODMUNRES · SIDRA 9514, variable 93, sex category 5.

XCIII. Deaths from intentional self-harm by municipality

Deaths from intentional self-harm per 100,000 residents; all sexes, municipality of residence, 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value, death count and population denominator.

About the data

Variables
Óbitos por lesões autoprovocadas intencionalmente
População residente

All sexes, including unspecified sex: underlying cause X60–X84 (intentional self-harm). Sequela code Y87.0 is not added.

Calculated as recorded intentional self-harm deaths ÷ total municipal residents × 100,000.

Fixed annual reference: 2022. The numerator is recorded non-fetal deaths in the official SIM 2022 open-data file, selected by the underlying cause of death (CAUSABAS) and municipality of residence (CODMUNRES).

The population denominator comes from IBGE Census 2022, SIDRA table 9514, variable 93, all ages and total age declaration. Numerator and denominator both refer to 2022.

The displayed measure is a derived crude annual rate, not an age-standardised rate. It is not a percentage. Annual death rates may fluctuate sharply in municipalities with small populations and few deaths.

Zero means no selected deaths recorded for that municipality in this source file. Observed zeros count toward coverage, fall in the first band, and retain their zero rate, death count and population in hover/tap. This does not prove the absence of violence or perfect ascertainment. Missing observations are never filled with zero.

Deaths without a compatible known municipality of residence cannot be assigned to a municipal rate and are not distributed across municipalities. Municipal sums can therefore differ from national source totals.

12 fixed national bands shared by the four mortality maps. Observed zero has its own band. The scale spans the lowest and highest rates observed across the four maps. State filters retain these limits. Labels are rounded for display.

Very light grey marks missing data.

Data prepared on 5 November 2026. Sources: official SIM release and IBGE Census 2022 population. The reference year remains 2022.

Reference and coverage

Reference: annual 2022.

State

Light lavender → blue → dark green: lower to higher.
12 fixed national bands shared by the four mortality maps.

Missing data

Source: Ministry of Health / SIM, official 2022 file; population: IBGE / SIDRA 9514 API.
SIM, CAUSABAS ICD-10 X60–X84, CODMUNRES · SIDRA 9514, variable 93.

XCIV. Deaths from land transport accidents by municipality

Deaths from land transport accidents per 100,000 residents; municipality of residence, 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value, death count and population denominator.

About the data

Variables
Óbitos por acidentes de transporte terrestre
População residente

All sexes, including unspecified sex: underlying cause V01–V89, land transport accidents. The group includes traffic and nontraffic events and must not be relabelled as only road-traffic deaths.

Water, air and other transport codes V90–V99 are excluded. Calculated as recorded land transport accident deaths ÷ total municipal residents × 100,000.

Fixed annual reference: 2022. The numerator is recorded non-fetal deaths in the official SIM 2022 open-data file, selected by the underlying cause of death (CAUSABAS) and municipality of residence (CODMUNRES).

The population denominator comes from IBGE Census 2022, SIDRA table 9514, variable 93, all ages and total age declaration. Numerator and denominator both refer to 2022.

The displayed measure is a derived crude annual rate, not an age-standardised rate. It is not a percentage. Annual death rates may fluctuate sharply in municipalities with small populations and few deaths.

Zero means no selected deaths recorded for that municipality in this source file. Observed zeros count toward coverage, fall in the first band, and retain their zero rate, death count and population in hover/tap. This does not prove the absence of violence or perfect ascertainment. Missing observations are never filled with zero.

Deaths without a compatible known municipality of residence cannot be assigned to a municipal rate and are not distributed across municipalities. Municipal sums can therefore differ from national source totals.

12 fixed national bands shared by the four mortality maps. Observed zero has its own band. The scale spans the lowest and highest rates observed across the four maps. State filters retain these limits. Labels are rounded for display.

Very light grey marks missing data.

Data prepared on 5 November 2026. Sources: official SIM release and IBGE Census 2022 population. The reference year remains 2022.

Reference and coverage

Reference: annual 2022.

State

Light lavender → blue → dark green: lower to higher.
12 fixed national bands shared by the four mortality maps.

Missing data

Source: Ministry of Health / SIM, official 2022 file; population: IBGE / SIDRA 9514 API.
SIM, CAUSABAS ICD-10 V01–V89, CODMUNRES · SIDRA 9514, variable 93.

Climate and the Economy

XCV. Temperature anomalies

Brazil, 1981–2025. Annual mean surface air temperature relative to 1991–2020.

XCVI. Monthly rainfall anomalies

Brazil, 1981–2025. Precipitation relative to the 1991–2020 normal for each calendar month.

XCVII. Deforestation in the Legal Amazon and Cerrado

Annual area cleared according to INPE PRODES. Each reference year ends in July.

XCVIII. Native vegetation by municipality

Forest, herbaceous and shrubby vegetation as a share of classified municipal area.

XCIX. Electricity consumption by sector (GWh)

Monthly electricity consumption in Brazil since 1990: commercial, residential, industrial and other uses; GWh, as published.

About the data

Presidential shading includes acting presidencies. The early periods are Sarney until 15 March 1990; Collor from 15 March 1990 to 2 October 1992; and Itamar Franco from 2 October 1992 to 1 January 1995, including his interim presidency before 29 December 1992.

Presidential periods: Presidency Library; official vice-presidential biographies.

Commercial
Consumo de energia elétrica - Comercial
SGS: 1402. Monthly; GWh.

Residential
Consumo de energia elétrica - Brasil - Residencial
SGS: 1403. Monthly; GWh.

Industrial
Consumo de energia elétrica - Brasil - Industrial
SGS: 1404. Monthly; GWh.

Other uses
Consumo de energia elétrica - Brasil - Outros
SGS: 1405. Monthly; GWh.

The four official monthly series show electricity consumption in Brazil by consumer class: commercial (1402), residential (1403), industrial (1404), and other uses (1405).

Each observation is the published consumption for its reference month, in gigawatt-hours (GWh). One GWh equals one million kWh.

The series are displayed in their original units, without seasonal adjustment, smoothing, rolling accumulation, interpolation, or rebasing. Seasonal and longer-term movements both remain visible.

Other uses is the source’s remaining published consumer-class category; it is shown separately rather than inferred as a residual from these three other curves.

The displayed period starts in January 1990. The API also supplies earlier observations, beginning in February 1979; original reference months are retained.

The vertical scale fits the four observed curves, with a zero lower bound and small upper padding. Legend placement preserves the data range.

New observations and revisions are checked through the official SGS API on the dashboard’s monthly cycle. The last available history remains displayed if the source is temporarily unavailable.

Latest observations

—

Indicators

Source: BCB–SGS; official monthly APIs 1402, 1403, 1404, 1405. GWh.

C. Electricity generation mix

Brazil, annual shares of domestic electricity generation, 2000–2025.

About the data

Variables
Energia hidráulica — Produção
Geração total de energia eólica e de energia solar fotovoltaica
Eletricidade — Produção das demais fontes (resíduo calculado)

Annual generation in GWh from EPE’s Brazilian Energy Balance (BEN 2026), tables 2.6, 2.7, 2.8 and 2.30. Imports are separate from domestic production.

Wind and solar combines wind and photovoltaic output, including distributed generation in BEN accounting. Other sources are the residual after subtracting hydropower, wind and photovoltaics.

Each share divides generation by total domestic electricity production. The three categories sum to 100%.

Latest observations

Indicators

Source: EPE, BEN 2026, chapter 2 (annual workbook) · EPE, BEN 2026 synthesis, pp. 41 and 43.
BEN 2026, tables 2.6, 2.7, 2.8 and 2.30.

CI. Fuel consumption by product (thousand barrels/day)

Monthly consumption series since 1990: gasoline, LPG, diesel oil and total fuel ethanol; thousand barrels per day.

About the data

Presidential shading includes acting presidencies. The early periods are Sarney until 15 March 1990; Collor from 15 March 1990 to 2 October 1992; and Itamar Franco from 2 October 1992 to 1 January 1995, including his interim presidency before 29 December 1992.

Presidential periods: Presidency Library; official vice-presidential biographies.

Gasoline
Consumo de derivados de petróleo - Gasolina
SGS: 1393. Monthly; thousand barrels/day.

LPG
Consumo de derivados de petróleo - GLP
SGS: 1394. Monthly; thousand barrels/day.

Diesel oil
Consumo de derivados de petróleo - Óleo diesel
SGS: 1396. Monthly; thousand barrels/day.

Fuel ethanol — total
Consumo de álcool carburante - Total
SGS: 1401. Monthly; thousand barrels/day.

The four official consumption series cover gasoline (SGS 1393), liquefied petroleum gas — LPG (1394), diesel oil (1396), and total fuel ethanol (1401). The source reported by SGS is the National Agency of Petroleum, Natural Gas and Biofuels (ANP).

The observation frequency is monthly, while the published volume unit is thousand barrels per day. For example, 500 on the vertical axis means 500,000 barrels per day for that monthly observation.

The source’s daily-volume unit is retained directly. Values are not multiplied by days in the month, summed over months, converted into a monthly total, seasonally adjusted, or rebased.

The four product definitions are retained separately as published. LPG means liquefied petroleum gas; total fuel ethanol retains the SGS total category.

The displayed period begins in January 1990. Dates and values from this period are retained exactly, without filling missing observations or shifting reference months.

The vertical scale fits all four curves with a zero lower bound and small upper padding. Legends preserve the data range.

New observations and revisions are checked through the official SGS API on the dashboard’s monthly cycle. The last available history remains displayed if the source is temporarily unavailable.

Latest observations

—

Indicators

Source: BCB–SGS; official monthly APIs 1393, 1394, 1396, 1401. thousand barrels/day.

Housing and Urban Infrastructure

CII. Public water network supply by municipality

Public network as the main water supply; % of residents in occupied permanent private households, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Moradores em domicílios particulares permanentes ocupados com rede geral como principal forma de abastecimento de água
Total de moradores em domicílios particulares permanentes ocupados

An observed 0% belongs to the first band and counts toward municipal coverage.

Residents in occupied permanent private households connected to the public water network and using it as their main supply (category 72144).

All residents in occupied permanent private households (category 72129).

Calculated as 100 × numerator / denominator, using unrounded official counts.

Connection alone is insufficient: the public network must be the main source. Does not measure drinking-water quality, treatment or continuity.

Fixed reference: Census 2022; the map must not automatically advance to a later census or population estimate.

Colours indicate the magnitude of this indicator, not a ranking of municipal performance or welfare.

The 15 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Revisions to the 2022 observations appear after a successful source check; the Census reference remains fixed at 2022.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 31 October 2026.

State

Light lavender → blue → dark green: lower to higher.
15 equal-width national bands.

Missing data

Source: IBGE — Census 2022, SIDRA 6894; official API 1.
SIDRA 6894, variable 382, categories 72144 and 72129.

CIII. Sewer network access by municipality

General sewer, stormwater network or septic tank connected to a network; % of residents in occupied permanent private households, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Moradores em domicílios particulares permanentes ocupados com esgotamento por rede geral, rede pluvial ou fossa ligada à rede
Total de moradores em domicílios particulares permanentes ocupados

An observed 0% belongs to the first band and counts toward municipal coverage.

Residents in occupied permanent private households whose sewage is discharged to a general sewer, stormwater network or septic tank connected to a network (category 46290).

All residents in occupied permanent private households (category 46292).

Calculated as 100 × numerator / denominator, using unrounded official counts.

The official aggregate includes stormwater networks and septic/filter tanks connected to the network. It does not establish that sewage is treated.

Fixed reference: Census 2022; the map must not automatically advance to a later census or population estimate.

Colours indicate the magnitude of this indicator, not a ranking of municipal performance or welfare.

The 15 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Revisions to the 2022 observations appear after a successful source check; the Census reference remains fixed at 2022.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 31 October 2026.

State

Light lavender → blue → dark green: lower to higher.
15 equal-width national bands.

Missing data

Source: IBGE — Census 2022, SIDRA 7555; official API 1.
SIDRA 7555, variable 382, categories 46290 and 46292.

CIV. Waste collection by municipality

Direct collection or collection-service container; % of residents in occupied permanent private households, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Moradores em domicílios particulares permanentes ocupados com lixo coletado
Total de moradores em domicílios particulares permanentes ocupados

Residents in occupied permanent private households with directly or indirectly collected waste: collection at the dwelling or deposition in a waste-collection service container (category 2520).

All residents in occupied permanent private households (category 10972).

Calculated as 100 × numerator / denominator, using unrounded official counts.

Includes direct collection at the dwelling and indirect collection through service containers. Does not measure waste treatment or final disposal.

Fixed reference: Census 2022; the map must not automatically advance to a later census or population estimate.

Colours indicate the magnitude of this indicator, not a ranking of municipal performance or welfare.

The 15 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

The maps use the same 5,570 municipal-level territories and simplified boundaries from IBGE’s 2022 reference. Source territories outside this boundary reference are counted separately; missing values appear in very light grey.

Automatic source checks follow the dashboard’s monthly cycle beginning on the 20th, in America/Fortaleza, when the page is visited or remains open and visible. Revisions to the 2022 observations appear after a successful source check; the Census reference remains fixed at 2022.

The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 31 October 2026.

State

Light lavender → blue → dark green: lower to higher.
15 equal-width national bands.

Missing data

Source: IBGE — Census 2022, SIDRA 9541; official API 1.
SIDRA 9541, variable 382, categories 2520 and 10972.

CV. Rented dwellings by municipality

2022 Census sample estimates, share of occupied permanent private dwellings.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its share and dwelling counts.

About the data

Variables
Domicílios particulares permanentes ocupados alugados
Total de domicílios particulares permanentes ocupados

The numerator is the number of rented dwellings. The denominator is all occupied permanent private dwellings. Both counts use Total for dwelling type and external wall material.

The figures are estimates from the 2022 Census sample. Municipal counts may sum to a slightly different total from the published national count due to rounding.

The 15 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

All 5,570 municipalities have an estimate. The published national counts give a rental share of 22.2%.

Reference and coverage

Reference: 2022. 5,570 / 5,570 municipalities with data.

State

Light lavender → blue → dark green: lower to higher.
15 equal-width national bands.

Missing data

Source: IBGE / SIDRA table 9928, official Census 2022 API. Boundaries: IBGE 2022.
SIDRA 9928, variable 381, tenure categories 1055 and 95826.

Brazil · 656 / 5,570 municipalities with data

Hover or tap a municipality to see its value.

About the data

Variables
Moradores em domicílios particulares permanentes ocupados nos setores pesquisados em Favelas e Comunidades Urbanas
Moradores em domicílios particulares permanentes ocupados nos setores pesquisados fora de Favelas e Comunidades Urbanas

This is a derived share using the two published absolute-count variables, 13550 and 13551.

The denominator covers only residents of occupied permanent private households in sectors selected for the Urban Survey of Surroundings of Households. It is not the full population of the municipality.

The table covers municipalities with Favelas e Comunidades Urbanas. Municipalities outside the table remain without coverage and are not assigned zero.

Two municipalities within table coverage have the official dash marker for the inside-favela count. The IBGE convention identifies that marker as a numerical zero; their derived selected-sector share is zero.

Published percentage variable 1013550 has a different denominator: its own inside-favela universe. With Total categories it is 100% whenever that universe is positive, so it does not measure the favela share of municipal population.

Very light grey marks the 4,914 municipalities outside the table. Two covered municipalities have genuine zero shares and retain the colour for zero.

12 fixed national bands. The cutoffs are 1%, 2%, 3%, 5%, 7.5%, 10%, 15%, 20%, 30%, 40% and 50%. The bands span the observed national minimum and maximum. State filters retain these limits.

Very light grey marks missing data.

The indicator remains the share of surveyed-sector residents living in Favelas and Urban Communities. It is not the share of the entire municipal population living in these areas.

Observed zero rates stay in the first colour class. Municipalities outside table coverage appear in very light grey and are excluded from the distribution; missing coverage is never filled with zero.

All original rates and their full precision are preserved. Filtering a state retains the fixed percentage limits; empty intervals are retained.

Fixed reference: Census 2022. All selected total categories, formulas and source precision are checked against the official IBGE APIs.

The maps use IBGE’s 5,570 municipal-level territories and simplified boundaries from 2022. Missing coverage is never filled with zero.

Official APIs are checked on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable.

Latest observations and API check

Reference: 2022. Data prepared on 4 November 2026.

State

Light lavender → blue → dark green: lower to higher.
12 fixed national bands.

Outside table coverage

Source: IBGE — SIDRA 10206; official API 1, official API 2.
SIDRA 10206, variables 13550 and 13551.

Other

CVII. Municipal Human Development Index (IDHM), 2010

Income, longevity and education combined into an index from 0 to 1; Census 2010.

Brazil · 5,565 / 5,570 reference territories with data

Hover or tap a municipality to see its value.

About the data

Variables
Índice de Desenvolvimento Humano Municipal (IDHM)

The Municipal Human Development Index combines income, longevity and education. A higher value indicates higher human development under the Atlas Brasil methodology.

This is the official Census 2010 indicator, not an estimate for 2022 or 2024. The three dimensions are combined by their geometric mean.

The Ipeadata API series ADH_IDHM supplies 5,564 municipal observations for 2010. Nazária (PI), omitted from that API response, is supplemented at 0.602 from the official PNUD municipal ranking for the same year.

The five official categories are Very low (<0.500), Low (0.500–0.599), Medium (0.600–0.699), High (0.700–0.799), and Very high (0.800–1.000). Values exactly at a threshold enter the higher category.

Five territories in the 2022 reference geometry have no value in this 2010 dataset: Mojuí dos Campos, Pescaria Brava, Balneário Rincão, Pinto Bandeira, and Paraíso das Águas. Very light grey marks those five territories. No parent-municipality value is imputed.

State filtering retains the same official national classes. The map uses the dashboard’s simplified 2022 boundaries, so it is not a reconstruction of municipal boundaries in 2010.

The fixed 2010 selection is checked through the official API on the dashboard’s monthly cycle. The last available data remain displayed if the source is temporarily unavailable. The PNUD supplement for Nazária remains explicitly identified.

Latest observations and API check

Reference: 2010. Data prepared on 4 November 2026.

State

Official IDHM categories.
Red: lower · green: higher.
Fixed reference: 2010.

No 2010 observation

Source: Ipeadata official API — ADH_IDHM; PNUD — municipal IDHM 2010. Census 2010; boundaries: IBGE 2022.
Ipeadata ADH_IDHM.

CVIII. Residents without home internet by municipality

Residents in occupied permanent private households without a home internet connection; %, Census 2022.

Brazil · 5,570 / 5,570 municipalities with data

Hover or tap a municipality to see its share, residents without home internet and total residents in the household universe.

About the data

Variables
Moradores em domicílios particulares permanentes ocupados sem conexão domiciliar à Internet
Total de moradores em domicílios particulares permanentes ocupados

Share of residents in occupied permanent private households without a home internet connection: residents without a connection divided by all residents in that same household universe, multiplied by 100. All ages and all race/colour categories are included.

The numerator and denominator both come from the Census 2022 sample results, SIDRA table 9942, variable 382; connection categories No and Total, with age and race/colour both set to Total. Collective households and other census universes are excluded.

This describes a household characteristic. It does not measure individual internet use, service quality, connection speed or the adequacy of access.

Published person estimates are rounded. The derived shares are checked against the source percentage; the sum of the with/without counts may differ from the total by one person due to rounding.

The 21 equal-width bands span the national minimum and maximum among municipalities with data. State filters retain the national limits. Labels are rounded for display.

Very light grey marks missing data.

In this dataset, the municipal median is 13.86%. The separate Brazil share is 10.64%, calculated from the official national numerator and denominator. The national share is weighted by residents in this universe and is not the municipal median.

All 5,570 municipalities in the 2022 boundaries have a valid observation in the data included in this page; there are no zero or missing shares. A genuinely unavailable source value remains missing and is never converted to zero. Very light grey marks missing data.

The dashboard checks this fixed 2022 selection through the official IBGE API on its existing monthly cycle. The last available data remain displayed during a temporary source failure; the reference year remains 2022.

Reference and source check

Reference: 2022. Data prepared on 5 November 2026.

State

Light lavender → blue → dark green: lower to higher.
21 equal-width national bands.

Missing data

Source: IBGE / SIDRA table 9942, official Census 2022 API. Boundaries: IBGE 2022.
SIDRA 9942, variable 382, categories 77586 and 77584.

CIX. Consolidated debt as a share of net current revenue

Municipal governments, fiscal year 2025.

About the data

Debt divided by net current revenue (Dívida Consolidada / Receita Corrente Líquida), using Indicator 1 from the Treasury workbook. Includes municipalities with a fiscal management report and positive net current revenue. Zero is a reported ratio. The source snapshot is dated 1 September 2026.

Ten bands of 10 percentage points span 0% to 100%. The two upper bands cover over 100% through 200% and over 200%. The thresholds apply nationally and remain fixed when a state is selected.

Data snapshot prepared on 11 November 2026.

Light lavender → blue → dark green: lower to higher.
Ten bands of 10 percentage points from 0% to 100%, plus two bands above 100%.

Missing data

Source: National Treasury, CAPAG for municipalities, September 2026 snapshot.