About this dataset

Context

The dataset tabulates the population of Brazil by race. It includes the population of Brazil across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Brazil across relevant racial categories.

Key observations

The percent distribution of Brazil population by race (across all racial categories recognized by the U.S. Census Bureau): 93.58% are white, 0.21% are Black or African American, 0.30% are Asian, 1.64% are some other race and 4.28% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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: This column displays the racial categories (excluding ethnicity) for the Brazil
• Population: The population of the racial category (excluding ethnicity) in the Brazil is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Brazil total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at -0.267 USD mn in Mar 2018. This records a decrease from the previous number of -0.095 USD mn for Dec 2017. Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated quarterly, averaging -0.148 USD mn from Jun 1969 (Median) to Mar 2018, with 159 observations. The data reached an all-time high of 43.179 USD mn in Dec 2011 and a record low of -5.032 USD mn in Sep 2014. Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Trade Balance: by Country: Quarterly.

This study included 939 samples to represent the parental groups that contributed to the formation of the Brazilian population and 1050 individuals from the admixed population of São Paulo state, Brazil. The samples considered as parental groups included: African, European, Native American, and Japanese. To validate the AIM set usage for estimating Asian ancestry, we employed it in the analyses of 1050 individuals from São Paulo state, in Southeastern Brazil. This population was formed by the admixture of European (higher contribution), African and Native American populations, as well as, more recently, by a significant amount of Japanese individuals. Therefore, the São Paulo population is suitable to be analyzed in this study.

All participants have authorized the collection of their biological samples by signing a consent form and the ethical aspects of this study have been approved by the Ethics Committee (Santos et al. 2010).

Genetic generalized epilepsies (GGEs) include well-established epilepsy syndromes with generalized onset seizures: childhood absence epilepsy, juvenile myoclonic epilepsy (JME), juvenile absence epilepsy (JAE), myoclonic absence epilepsy, epilepsy with eyelid myoclonia (Jeavons syndrome), generalized tonic–clonic seizures, and generalized tonic–clonic seizures alone. Genome-wide association studies (GWASs) and exome sequencing have identified 48 single-nucleotide polymorphisms (SNPs) associated with GGE. However, these studies were mainly based on non-admixed, European, and Asian populations. Thus, it remains unclear whether these results apply to patients of other origins. This study aims to evaluate whether these previous results could be replicated in a cohort of admixed Brazilian patients with GGE. We obtained SNP-array data from 87 patients with GGE, compared with 340 controls from the BIPMed public dataset. We could directly access genotypes of 17 candidate SNPs, available in the SNP array, and the remaining 31 SNPs were imputed using the BEAGLE v5.1 software. We performed an association test by logistic regression analysis, including the first five principal components as covariates. Furthermore, to expand the analysis of the candidate regions, we also interrogated 14,047 SNPs that flank the candidate SNPs (1 Mb). The statistical power was evaluated in terms of odds ratio and minor allele frequency (MAF) by the genpwr package. Differences in SNP frequencies between Brazilian and Europeans, sub-Saharan African, and Native Americans were evaluated by a two-proportion Z-test. We identified nine flanking SNPs, located on eight candidate regions, which presented association signals that passed the Bonferroni correction (rs12726617; rs9428842; rs1915992; rs1464634; rs6459526; rs2510087; rs9551042; rs9888879; and rs8133217; p-values <3.55e–06). In addition, the two-proportion Z-test indicates that the lack of association of the remaining candidate SNPs could be due to different genomic backgrounds observed in admixed Brazilians. This is the first time that candidate SNPs for GGE are analyzed in an admixed Brazilian population, and we could successfully replicate the association signals in eight candidate regions. In addition, our results provide new insights on how we can account for population structure to improve risk stratification estimation in admixed individuals.

Brazil BR: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at 2.864 USD mn in 2023. This records a decrease from the previous number of 10.490 USD mn for 2022. Brazil BR: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated yearly, averaging 2.459 USD mn from Dec 1971 (Median) to 2023, with 46 observations. The data reached an all-time high of 15.598 USD mn in 2014 and a record low of 0.001 USD mn in 1993. Brazil BR: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Imports: cif: by Country: Annual.

Figure 1. Origin of Phakopsora pachyrhizi populations in Brazil map. Leaves sampled collected of soybean plants infected with Asian soybean rust collected the 2017/2018 soybean seasons. Brazilian States: BA - Bahia and PR - Paraná. Municipalities: BA - Luis Eduardo Magalhães; PR - Campo Magro, Palmeira, Palotina and Ponta Grossa.

As of February 2025, India had a total of 413.85 million Instagram users, the largest Instagram audience in the world. The United States had 171.7 million users, and Brazil had 140.7 million. Indonesia, Turkey, and Japan ranked in fourth, fifth and sixth position, respectively. Kazakhstan is the leading country for Instagram audience reach, with 86.2 percent of the population using the social media service. Turkey came in second, with a penetration rate of 85.5 percent and Uruguay ranked third, with 87.1 percent, followed closely by the UAE, Brazil, and Bahrain. It took Instagram 11.2 years to reach the milestone of 2 billion monthly active users worldwide. WhatsApp, also owned by Meta, took 11 years, whilst Facebook took 13.3 years and YouTube took just over 14 years. Instagram’s demographics in the United States As of March 2025, Instagram was the fourth most visited social media service in the United States, after Facebook, Pinterest and X. Out of TikTok, Instagram and Snapchat, TikTok was the most used of all three platforms by Generation Z. Overall, 57 percent of Gen Z social media users used Instagram in 2021, down from 61 percent in 2020 and 64 percent in 2019. Instagram finds most popularity with those in the 25 to 34 year age group, and as of January 2025, roughly 28.3 of all users in the United States belonged to this age group. The social media app was also more likely to be used by women. Most followed accounts on Instagram Instagram’s official account had the most followers as of April 2024 with over 672 million followers. Manchester United forward Cristiano Ronaldo (@cristiano) had over 628 million followers on the platform, while the Argentinian footballer Lionel Messi (@leomessi) had over 502 million followers. The Instagram accounts of the American singer and actress Selena Gomez (@selenagomez) and the media personality and makeup mogul Kylie Jenner (@kyliejenner) had over 400 million followers each.

Brazil BR: Imports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at 1.275 USD mn in 2024. This records a decrease from the previous number of 2.702 USD mn for 2023. Brazil BR: Imports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated yearly, averaging 2.318 USD mn from Dec 1971 (Median) to 2024, with 47 observations. The data reached an all-time high of 14.715 USD mn in 2014 and a record low of 0.001 USD mn in 1993. Brazil BR: Imports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Imports: fob: by Country: Annual.

Brazil BR: Imports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 53.176 USD bn in 2023. This records a decrease from the previous number of 60.745 USD bn for 2022. Brazil BR: Imports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging 595.760 USD mn from Dec 1948 (Median) to 2023, with 59 observations. The data reached an all-time high of 60.745 USD bn in 2022 and a record low of 0.050 USD mn in 1970. Brazil BR: Imports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Imports: fob: by Country: Annual.

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

Brazil BR: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 67.395 USD bn in 2024. This records an increase from the previous number of 56.366 USD bn for 2023. Brazil BR: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging 803.441 USD mn from Dec 1948 (Median) to 2024, with 60 observations. The data reached an all-time high of 67.395 USD bn in 2024 and a record low of 0.055 USD mn in 1970. Brazil BR: Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Imports: cif: by Country: Annual.

Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at -0.027 USD mn in May 2018. This records an increase from the previous number of -0.498 USD mn for Apr 2018. Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated monthly, averaging -0.063 USD mn from Jun 1969 (Median) to May 2018, with 443 observations. The data reached an all-time high of 44.960 USD mn in Dec 2011 and a record low of -2.793 USD mn in Nov 2007. Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Trade Balance: by Country: Monthly.

Brazil BR: Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at 1.927 USD mn in 2024. This records a decrease from the previous number of 2.811 USD mn for 2023. Brazil BR: Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated yearly, averaging 0.339 USD mn from Dec 1969 (Median) to 2024, with 46 observations. The data reached an all-time high of 71.486 USD mn in 2018 and a record low of 0.010 USD mn in 1974. Brazil BR: Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Exports: fob: by Country: Annual.

Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 18.532 USD bn in 2017. This records an increase from the previous number of 10.553 USD bn for 2016. Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging 7.500 USD mn from Dec 1948 (Median) to 2017, with 65 observations. The data reached an all-time high of 18.532 USD bn in 2017 and a record low of -4.839 USD bn in 2008. Brazil BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Trade Balance: by Country: Annual.

India's cattle inventory amounted to about *** million in 2023. In comparison, the global cattle population stood at over ***********, India had the highest cattle population followed by Brazil, China and the United States that year. Where are cattle bred in India? As one of the leading dairy producers and consumers worldwide, cattle in the south Asian country were bred mainly in the rural areas. However, its population was spread unevenly across the vast land. Uttar Pradesh ranked first in terms of milk production, followed by Rajasthan, and Madhya Pradesh in 2023. Contextualizing the holiness of the Indian cow Considered a sacred animal by Hindus in India, the cow is associated with several gods and goddesses. This deep religious and cultural significance has led to communal tensions. In 2014, the government established the Rashtriya Gokul Mission (RGM) to conserve and develop indigenous breeds of cows and buffaloes. While the general goal was well-received, it aligns with the underlying Hindu nationalist narrative of the current government.

Brazil BR: Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 94.411 USD bn in 2024. This records a decrease from the previous number of 104.325 USD bn for 2023. Brazil BR: Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging 628.341 USD mn from Dec 1948 (Median) to 2024, with 69 observations. The data reached an all-time high of 104.325 USD bn in 2023 and a record low of 0.200 USD mn in 1964. Brazil BR: Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Exports: fob: by Country: Annual.

BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 3.662 USD bn in Mar 2018. This records an increase from the previous number of 1.503 USD bn for Dec 2017. BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated quarterly, averaging 13.690 USD mn from Jun 1960 (Median) to Mar 2018, with 206 observations. The data reached an all-time high of 8.800 USD bn in Jun 2017 and a record low of -4.055 USD bn in Mar 2015. BR: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.DOT: Trade Balance: by Country: Quarterly.