About this dataset

Context

The dataset tabulates the Brazil population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Brazil across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Brazil was 8,214, a 0.37% increase year-by-year from 2022. Previously, in 2022, Brazil population was 8,184, an increase of 0.21% compared to a population of 8,167 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Brazil increased by 328. In this period, the peak population was 8,214 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Brazil is shown in this column.
• Year on Year Change: This column displays the change in Brazil population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Brazil population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Brazil across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Brazil was 8,176, a 0.21% increase year-by-year from 2021. Previously, in 2021, Brazil population was 8,159, a decline of 0.11% compared to a population of 8,168 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Brazil increased by 290. In this period, the peak population was 8,176 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Brazil is shown in this column.
• Year on Year Change: This column displays the change in Brazil population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

description: ABSTRACT: This data set contains physical, hydrologic, political, demographic, and societal maps for the Ji-Parana River Basin, in the state of Rondonia, Brazil. These data were used as base information in subsequent investigations of land use/land cover, biogeochemistry, soils, and water balance processes (Ballester et al., 2003). This data set includes a Digital Elevation Model (DEM), river networks and morphometric characteristics of the region (derived from the DEM), and a number of social and demographic vector sets (roads as of 2001, county borders, population change from 1970-2000, and settlement projects). The DEM is provided in GeoTIFF format. Other files are provided as shapefiles.; abstract: ABSTRACT: This data set contains physical, hydrologic, political, demographic, and societal maps for the Ji-Parana River Basin, in the state of Rondonia, Brazil. These data were used as base information in subsequent investigations of land use/land cover, biogeochemistry, soils, and water balance processes (Ballester et al., 2003). This data set includes a Digital Elevation Model (DEM), river networks and morphometric characteristics of the region (derived from the DEM), and a number of social and demographic vector sets (roads as of 2001, county borders, population change from 1970-2000, and settlement projects). The DEM is provided in GeoTIFF format. Other files are provided as shapefiles.

Rates per 100,000 inhabitants and relative change of years lived with disability (YLD), in years of life lost (YLL) and disability-adjusted life years (DALY) by sex and regions of Brazil in the periods 2001–2007 (P1), 2008–2014 (P2), 2015–2021 (P3).

Disclosure of information with far right's ideas, negationism of science and anti-vaccine attitude x Risk of COVID-19

The electoral preference by Bolsonaro in the first round of Brazil presidential election 2018 per state, shows a relation with the amount of deaths by Covid-19 per 100000, excess death per 100,000, increased P-score and intensity in reducing Brazilian population growth in the 1st quarter 2021

Content

In the period from January to April (1st Quadrimester Q1) from 2021 and 2019 per state (UF)

Main variables for each of the 27 Brazilian states and 4 States groups

1. The main population rates: - Number deaths, excess deaths, births, birth rate, mortality rate, vegetative growth, p-score, total population, population> 70A., Demographic density

2. The main rates of Pandemic by Coronavirus - Covid-19:

   • No. Total cases, cases Q1, Nº Total deaths, Nº Q1 deaths, Total deaths / 100000 hab, mortality rate, cases / 100000 hab

3. The main metrics of the 2018 presidential election:

   • Voters, voting paragraphs, nº of votes in Bolsonararo 1st turn, nº of abstinences.

Groups of Brazilian UFS (Federation States)

1. States that Bolsonaro received more than 50% of the votes in the 1st turn
2. States that Bolsonaro received less than 50% of the votes in the 1st turn and more than 50% in the 2nd turn
3. States that Bolsonaro received less than 50% of the votes in the 1st and 2nd shifts
4. Sum of the 27 Brazilian states

PT(BR) - version

Divulgação de informações com idéias da extrema direita, negacionismo da ciência e atitude anti-vacina x risco de Covid-19

A preferência eleitoral por Bolsonaro no 1º turno de 2018 por estado, mostra-se relacionada com a quantidade de mortes por COVID-19, excesso de mortes por 100000, aumento do P-score e intensidade na redução do crescimento populacional brasileiro no 1ºquadrimestre de 2021.

No período de Janeiro a Abril(1º Quadrimestre Q1) de 2021 e 2019 por estado (UF)

Principais variáveis

1. As principais taxas populacionais: - nº mortes, excesso de mortes, nº nascimentos, taxa de natalidade, taxa de mortalidade, crescimento vegetativo, P-score, população total, população > 70a., densidade demográfica

2. As principais taxas da pandemia por Coronavirus - COVID-19:

   • nº casos totais, nº casos Q1, nº mortes totais, nº mortes Q1, mortes totais/100000 hab, taxa de Mortalidade, casos/100000 hab

3. As principais métricas da eleição presidencial de 2018:

   • nº eleitores, nº votantes, nº de votos em Bolsonaro 1º turno, nº de abstinências.

Grupos de UFs (Estados da Federação)

1.Estados que Bolsonaro recebeu mais de 50% dos votos no 1º turno 2.Estados que Bolsonaro recebeu menos que 50% dos votos no 1º turno e mais de 50% no 2º turno 3.Estados que Bolsonaro recebeu menos que 50% dos votos no 1º e 2º turnos 4.Soma dos 27 Estados Brasileiros

Database: National System of Aggravations and Notification—SINAN (2018).