In 2023, there were approximately 77.7 million households, up from 74.15 million recorded a year earlier. Since 2012, the number of households in the Latin American country has increased steadily.

In 2023, there were 51.22 million nuclear households in Brazil, making it the most common sort of household. In addition, 14 million households were unipersonal, consisting of only one individual.

Key information about Brazil Household Income per Capita

• Brazil Annual Household Income per Capita reached 4,779.705 USD in Dec 2017, compared with the previous value of 4,272.395 USD in Dec 2016.
• Brazil Annual Household Income per Capita data is updated yearly, available from Dec 2016 to Dec 2017, with an averaged value of 4,526.050 USD.
• The data reached an all-time high of 4,779.705 USD in Dec 2017 and a record low of 4,272.395 USD in Dec 2016.
• In the latest reports, Retail Sales of Brazil dropped 2.265 % YoY in May 2023.

CEIC calculates Annual Household Income per Capita from Monthly Household Income per Capita multiplied by 12 and converts it into USD. The Brazilian Institute of Geography and Statistics provides Monthly Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.

Key information about Brazil Household Expenditure per Capita

• Brazil Annual Household Expenditure per Capita reached 5,769.489 USD in Jun 2017, compared with the last update number of 5,388.500 USD in Jun 2008.
• Brazil Annual Household Expenditure per Capita data is updated yearly, available from Jun 2002 to Jun 2017, with an averaged value of 5,388.500 USD.
• The data reached an all-time high of 5,769.489 USD in Jun 2017 and a record low of 2,381.122 USD in Jun 2002.
• In the latest reports, Retail Sales of Brazil grew 1.217 % YoY in Apr 2023.

CEIC calculates Annual Household Expenditure per Capita from annual Average Monthly Family Expenditure multiplied by 12 and annual Number of Persons Per Family and converts it into USD. The Brazilian Institute of Geography and Statistics provides Average Monthly Family Expenditure in local currency and Number of Persons Per Family. Federal Reserve Board average market exchange rate is used for currency conversions. Household Expenditure per Capita is in annual frequency, ending in June of each year. Annual Household Expenditure per Capita prior to 2017 is calculated from Annual Average Monthly Family Expenditure based on CES 2008.

Brazil Number of Household: Type of Floor: Central West: Other Material data was reported at 36.789 Unit th in 2017. This records an increase from the previous number of 31.776 Unit th for 2016. Brazil Number of Household: Type of Floor: Central West: Other Material data is updated yearly, averaging 34.282 Unit th from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 36.789 Unit th in 2017 and a record low of 31.776 Unit th in 2016. Brazil Number of Household: Type of Floor: Central West: Other Material data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF029: Number of Household: by Type of Floor: Central West.

Brazil Households Disposable Income data was reported at 735,327,000,000.000 BRL in Feb 2025. This records a decrease from the previous number of 743,209,000,000.000 BRL for Jan 2025. Brazil Households Disposable Income data is updated monthly, averaging 311,528,000,000.000 BRL from Mar 2003 (Median) to Feb 2025, with 264 observations. The data reached an all-time high of 745,144,000,000.000 BRL in Dec 2024 and a record low of 91,549,000,000.000 BRL in Apr 2003. Brazil Households Disposable Income data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD006: Household Disposable Income.

Households and NPISHs Final consumption expenditure (constant LCU) in Brazil was reported at 2963213381600 LCU in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Household final consumption expenditure (constant LCU) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

About **** percent of Brazilian families planned to reduce their spending over the next three months. Moreover, **** percent of families claimed that their consumption would increase.

Abstract

This study is an experiment designed to compare the performance of three methodologies for sampling households with migrants:

• a stratified sample using the census to sample census tracts randomly, in which each household is then listed and screened to determine whether or not it has a migrant, with the full length questionnaire then being applied in a second phase only to the households of interest;
• a snowball survey in which households are asked to provide referrals to other households with migrant members;
• an intercept point survey (or time-and-space sampling survey), in which individuals are sampled during set time periods at a prespecified set of locations where households in the target group are likely to congregate.

Researchers from the World Bank applied these methods in the context of a survey of Brazilians of Japanese descent (Nikkei), requested by the World Bank. There are approximately 1.2-1.9 million Nikkei among Brazil’s 170 million population.

The survey was designed to provide detail on the characteristics of households with and without migrants, to estimate the proportion of households receiving remittances and with migrants in Japan, and to examine the consequences of migration and remittances on the sending households.

The same questionnaire was used for the stratified random sample and snowball surveys, and a shorter version of the questionnaire was used for the intercept surveys. Researchers can directly compare answers to the same questions across survey methodologies and determine the extent to which the intercept and snowball surveys can give similar results to the more expensive census-based survey, and test for the presence of biases.

Geographic coverage

Sao Paulo and Parana states

Analysis unit

Japanese-Brazilian (Nikkei) households and individuals

The 2000 Brazilian Census was used to classify households as Nikkei or non-Nikkei. The Brazilian Census does not ask ethnicity but instead asks questions on race, country of birth and whether an individual has lived elsewhere in the last 10 years. On the basis of these questions, a household is classified as (potentially) Nikkei if it has any of the following: 1) a member born in Japan; 2) a member who is of yellow race and who has lived in Japan in the last 10 years; 3) a member who is of yellow race, who was not born in a country other than Japan (predominantly Korea, Taiwan or China) and who did not live in a foreign country other than Japan in the last 10 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

1) Stratified random sample survey

Two states with the largest Nikkei population - Sao Paulo and Parana - were chosen for the study.

The sampling process consisted of three stages. First, a stratified random sample of 75 census tracts was selected based on 2000 Brazilian census. Second, interviewers carried out a door-to-door listing within each census tract to determine which households had a Nikkei member. Third, the survey questionnaire was then administered to households that were identified as Nikkei. A door-to-door listing exercise of the 75 census tracts was then carried out between October 13th, 2006, and October 29th, 2006. The fieldwork began on November 19, 2006, and all dwellings were visited at least once by December 22, 2006. The second wave of surveying took place from January 18th, 2007, to February 2nd, 2007, which was intended to increase the number of households responding.

2) Intercept survey

The intercept survey was designed to carry out interviews at a range of locations that were frequented by the Nikkei population. It was originally designed to be done in Sao Paulo city only, but a second intercept point survey was later carried out in Curitiba, Parana. Intercept survey took place between December 9th, 2006, and December 20th, 2006, whereas the Curitiba intercept survey took place between March 3rd and March 12th, 2007.

Consultations with Nikkei community organizations, local researchers and officers of the bank Sudameris, which provides remittance services to this community, were used to select a broad range of locations. Interviewers were assigned to visit each location during prespecified blocks of time. Two fieldworkers were assigned to each location. One fieldworker carried out the interviews, while the other carried out a count of the number of people with Nikkei appearance who appeared to be 18 years old or older who passed by each location. For the fixed places, this count was made throughout the prespecified time block. For example, between 2.30 p.m. and 3.30 p.m. at the sports club, the interviewer counted 57 adult Nikkeis. Refusal rates were carefully recorded, along with the sex and approximate age of the person refusing.

In all, 516 intercept interviews were collected.

3) Snowball sampling survey

The questionnaire that was used was the same as used for the stratified random sample. The plan was to begin with a seed list of 75 households, and to aim to reach a total sample of 300 households through referrals from the initial seed households. Each household surveyed was asked to supply the names of three contacts: (a) a Nikkei household with a member currently in Japan; (b) a Nikkei household with a member who has returned from Japan; (c) a Nikkei household without members in Japan and where individuals had not returned from Japan.

The snowball survey took place from December 5th to 20th, 2006. The second phase of the snowballing survey ran from January 22nd, 2007, to March 23rd, 2007. More associations were contacted to provide additional seed names (69 more names were obtained) and, as with the stratified sample, an adaptation of the intercept survey was used when individuals refused to answer the longer questionnaire. A decision was made to continue the snowball process until a target sample size of 100 had been achieved.

The final sample consists of 60 households who came as seed households from Japanese associations, and 40 households who were chain referrals. The longest chain achieved was three links.

Mode of data collection

Face-to-face [f2f]

Research instrument

1) Stratified sampling and snowball survey questionnaire

This questionnaire has 36 pages with over 1,000 variables, taking over an hour to complete.

If subjects refused to answer the questionnaire, interviewers would leave a much shorter version of the questionnaire to be completed by the household by themselves, and later picked up. This shorter questionnaire was the same as used in the intercept point survey, taking seven minutes on average. The intention with the shorter survey was to provide some data on households that would not answer the full survey because of time constraints, or because respondents were reluctant to have an interviewer in their house.

2) Intercept questionnaire

The questionnaire is four pages in length, consisting of 62 questions and taking a mean time of seven minutes to answer. Respondents had to be 18 years old or older to be interviewed.

Response rate

1) Stratified random sampling 403 out of the 710 Nikkei households were surveyed, an interview rate of 57%. The refusal rate was 25%, whereas the remaining households were either absent on three attempts or were not surveyed because building managers refused permission to enter the apartment buildings. Refusal rates were higher in Sao Paulo than in Parana, reflecting greater concerns about crime and a busier urban environment.

2) Intercept Interviews 516 intercept interviews were collected, along with 325 refusals. The average refusal rate is 39%, with location-specific refusal rates ranging from only 3% at the food festival to almost 66% at one of the two grocery stores.

Household consumption, billion currency units in Brazil, March, 2025 The most recent value is 1933.98 billion Brazilian Real as of Q1 2025, a decline compared to the previous value of 1966.67 billion Brazilian Real. Historically, the average for Brazil from Q1 1996 to Q1 2025 is 726 billion Brazilian Real. The minimum of 125.69 billion Brazilian Real was recorded in Q1 1996, while the maximum of 1966.67 billion Brazilian Real was reached in Q4 2024. | TheGlobalEconomy.com

Household credit, billion currency units in Brazil, March, 2025 The most recent value is 4028.2 billion Brazilian Real as of March 2025, an increase compared to the previous value of 4001 billion Brazilian Real. Historically, the average for Brazil from March 2007 to March 2025 is 1673.93 billion Brazilian Real. The minimum of 348.4 billion Brazilian Real was recorded in March 2007, while the maximum of 4028.2 billion Brazilian Real was reached in March 2025. | TheGlobalEconomy.com

About this dataset

Context

The dataset presents median household incomes for various household sizes in Brazil, IN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Brazil did not include 6-person households. Across the different household sizes in Brazil the mean income is $94,186, and the standard deviation is $88,214. The coefficient of variation (CV) is 93.66%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households. Please note that the U.S. Census Bureau uses $250,001 as a JAM value to report incomes of $250,000 or more. In the case of Brazil, there were 1 household sizes where the JAM values were used. Thus, the numbers for the mean and standard deviation may not be entirely accurate and have a higher possibility of errors. However, to obtain an approximate estimate, we have used a value of $250,001 as the income for calculations, as reported in the datasets by the U.S. Census Bureau.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $27,461. It then further increased to $270,229 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/brazil-in-median-household-income-by-household-size.jpeg" alt="Brazil, IN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Brazil median household income. You can refer the same here

Graph and download economic data for Total Credit to Households and NPISHs, Adjusted for Breaks, for Brazil (QBRHAMXDCA) from Q3 1994 to Q4 2024 about Brazil, adjusted, credits, and households.

Brazil Households Disposable Income: Deflated by IPCA: Seasonally Adjusted data was reported at 732,869,000,000.000 BRL in Feb 2025. This records an increase from the previous number of 729,742,000,000.000 BRL for Jan 2025. Brazil Households Disposable Income: Deflated by IPCA: Seasonally Adjusted data is updated monthly, averaging 562,840,500,000.000 BRL from Mar 2003 (Median) to Feb 2025, with 264 observations. The data reached an all-time high of 732,869,000,000.000 BRL in Feb 2025 and a record low of 312,546,000,000.000 BRL in Oct 2003. Brazil Households Disposable Income: Deflated by IPCA: Seasonally Adjusted data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD006: Household Disposable Income.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Brazil. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Brazil, the median household income for the households where the householder is White increased by $6,638(15.70%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $42,287 in 2011 and $48,925 in 2021.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2011 and 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/brazil-in-median-household-income-by-race-trends.jpeg" alt="Brazil, IN median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Brazil.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Brazil median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Brazil household income by age. The dataset can be utilized to understand the age-based income distribution of Brazil income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Brazil, IN annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Brazil, IN household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Brazil income distribution by age. You can refer the same here

Households Debt in Brazil increased to 36.40 percent of GDP in the fourth quarter of 2024 from 35.80 percent of GDP in the third quarter of 2024. This dataset provides - Brazil Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

In the first quarter of 2025, the amount of savings made by Brazilian households accounted for **** percent of the country's Gross Domestic Product (GDP). In the same quarter of the previous year, the Brazilian economy had registered a household saving rate of **** percent of its GDP. In turn, Brazil's capital investments represented approximately ** percent of GDP.

This statistic shows a distribution of the number of households led by women in Brazil in 2017, sorted by the generation to which the female head of the household belongs to. In 2017, approximately ** percent of all Brazilian households were led by Gen X women.

Brazil Electricity Consumption: Household data was reported at 15,990.000 GWh in Feb 2025. This records an increase from the previous number of 15,637.000 GWh for Jan 2025. Brazil Electricity Consumption: Household data is updated monthly, averaging 6,642.500 GWh from Jan 1979 (Median) to Feb 2025, with 554 observations. The data reached an all-time high of 15,990.000 GWh in Feb 2025 and a record low of 1,647.000 GWh in Feb 1979. Brazil Electricity Consumption: Household data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.RB001: Electricity Consumption. [COVID-19-IMPACT]