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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Britânia/GO (2017–2022)

Britânia/GO had a reference population (aged 5 or over in 2022) of 5,335 people. In the 2017–2022 five-year period, the municipality received 775 in-migrants and lost 615 out-migrants to other municipalities in Brazil, resulting in a net migration of +160 people (30.17 per 1,000 population) and a migration effectiveness index (IEM) of 0.116. This classifies the municipality, for the period, as one of migratory attraction. In addition, 20 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Britânia/GO, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants775623 to 927good
Out-migrants615411 to 819use with caution
Net migration+160−94 to 414not classified
Net migration rate, TLM (per 1,000 pop.)30.17--
Migration effectiveness index (IEM)0.116--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Britânia/GO
OriginPeoplePrecision
Goiânia/GO · view pair in the atlas150use with caution
Jussara/GO · view pair in the atlas65low precision
Itaberaí/GO · view pair in the atlas45low precision
Santa Fé de Goiás/GO · view pair in the atlas45low precision
Cocalinho/MT · view pair in the atlas30low precision
Água Boa/MT · view pair in the atlas30low precision
Rio Verde/GO · view pair in the atlas20low precision
Trindade/GO · view pair in the atlas20low precision
Goiás/GO · view pair in the atlas15low precision
São Paulo/SP · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Britânia/GO
DestinationPeoplePrecision
Jussara/GO · view pair in the atlas100low precision
Aruanã/GO · view pair in the atlas40low precision
Santa Fé de Goiás/GO · view pair in the atlas40low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration42054.2%100-499
First move from municipality of birth25032.3%50-99
Return to municipality of birth10513.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14531.9%20-49
Completed high school, incomplete higher education12026.4%20-49
Completed elementary, incomplete high school11525.3%20-49
Completed higher education7516.5%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage29037.4%50-99
1 to 2 minimum wages18523.9%50-99
¼ to ½ minimum wage15019.4%20-49
More than 2 minimum wages11014.2%20-49
Up to ¼ of a minimum wage405.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female14018.2%20-49
Ages 25–39, male10513.6%20-49
Ages 15–24, female9512.3%20-49
Ages 40–59, male8511.0%20-49
Ages 15–24, male759.7%20-49
Ages 5–14, female759.7%20-49
Ages 5–14, male709.1%20-49
Ages 40–59, female607.8%5-19
Ages 60 and over, male354.5%5-19
Ages 60 and over, female303.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth29047.2%50-99
Multi-step migration26042.3%50-99
Return to municipality of birth6510.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14540.3%20-49
Completed high school, incomplete higher education11531.9%5-19
Completed elementary, incomplete high school6518.1%5-19
Completed higher education359.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage27544.7%50-99
1 to 2 minimum wages18029.3%20-49
¼ to ½ minimum wage9515.4%5-19
More than 2 minimum wages457.3%5-19
Other / suppressed203.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13021.1%5-19
Ages 15–24, female12019.5%5-19
Ages 25–39, male8513.8%5-19
Ages 40–59, male6510.6%5-19
Ages 40–59, female609.8%5-19
Ages 5–14, female508.1%5-19
Ages 15–24, male457.3%5-19
Ages 5–14, male355.7%5-19
Ages 60 and over, male203.3%5-19
Other / suppressed50.8%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,71551.4%>=500
Completed high school, incomplete higher education62518.7%100-499
Completed elementary, incomplete high school61018.3%100-499
Completed higher education38511.5%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,88038.4%>=500
1 to 2 minimum wages1,33527.2%100-499
¼ to ½ minimum wage81516.6%100-499
More than 2 minimum wages58011.8%100-499
Up to ¼ of a minimum wage2805.7%50-99
Other / suppressed100.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female77017.0%100-499
Ages 40–59, male76016.8%100-499
Ages 60 and over, female48010.6%100-499
Ages 25–39, female4509.9%100-499
Ages 25–39, male4459.8%100-499
Ages 60 and over, male4359.6%100-499
Ages 15–24, male3257.2%100-499
Ages 5–14, male3207.1%50-99
Ages 5–14, female2806.2%50-99
Ages 15–24, female2706.0%50-99

Commuting (work and study)

Commuting indicators for Britânia/GO
Employed persons (aged 10 and over)2,790
Commute out to work in another municipality80
Commute in from another municipality to work here150
Net commuting+70
Out-commuting rate (%)2.95
Commuting attraction index1.011
Median commuting time60 min

Open Britânia/GO in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Britânia/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/britania-go-5203807/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.