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Brazil

BRA

Population
211.1M
2023 · un-wpp (un-wpp/2024)
Growth rate
0.41%
2023 · un-wpp (un-wpp/2024)
Fertility rate
1.62
2023 · un-wpp (un-wpp/2024)
Life expectancy
75.8 yrs
2023 · un-wpp (un-wpp/2024)

Total population

Brazil19501980201020402070210050M100M150M200M

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Population growth rate

Brazil1950198020102040207021000.0%1.0%2.0%3.0%

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Population pyramid

MaleFemale0-45-910-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9495-99100+
2023

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Total fertility rate

Brazilreplacement1950198020102040207021002.003.004.005.006.00

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Life expectancy at birth

Brazil19501980201020402070210050.0 yrs60.0 yrs70.0 yrs80.0 yrs

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Net migration

Brazil195019802010204020702100-250k-200k-150k-100k-50k0

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Median age

Brazil19501980201020402070210020.0 yrs30.0 yrs40.0 yrs50.0 yrs

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Population projection

Brazil19501980201020402070210050M100M150M200M

un-wpp · un-wpp/2024 · release 2026.08.3

CSV

Research

AI-generated summary

This article examines the demographic transition—the global shift from high to low mortality and fertility rates—and its effects on age structure, focusing on a comparative analysis of Brazil, Paraguay, Uruguay, Argentina, and Chile in the Southern Cone. It highlights how this transition contributes to population aging across these countries.

Abstract
O tema central do artigo é a transição demográfica, um fenômeno global que envolve a transição de altas para baixas taxas de mortalidade e fertilidade, resultando em mudanças na estrutura etária das
AI-generated summary

This study examines whether Brazil's long-term fertility decline (cohorts born 1910–1970) was accompanied by changes in reproductive variability, using multiple measures of concentration and dispersion in completed fertility by education. The authors find that reproductive variability generally declined alongside fertility levels, with notable differences by education, and that certain variability measures can help predict fertility decline. They conclude that relying on a single measure of variability offers only a partial picture of population dynamics during fertility transitions.

Abstract
Abstract Demographers have a rich understanding of the fertility transitions that have been observed in many contexts. Yet, we lack evidence to explain whether long‐run declines in fertility levels are accompanied by simultaneous changes in reproductive variability. This is important because reproductive variability—the concentration and dispersion of childbearing—may help to better explain fertility trends and predict population change. We address this gap with a case study of Brazil, which is a well‐known example of fertility transition, using microdata on fertility by education for cohorts born 1910–1970. We contribute by using multiple measures of variability in completed fertility, studying how these measures change during an entire transition, how they relate to cohort fertility rates, and how this evidence varies by education. Reproductive variability declines across the Brazilian fertility transition—for measures of concentration and dispersion—although this is less evident for dispersion measures that adjust for levels of children ever born. We also find considerable differences by education and evidence that several measures of variability are predictive of fertility decline, highlighting a promising avenue for future research. Moreover, our findings suggest that conclusions based on one measure of variability may only provide a partial understanding of population dynamics.