Skip to content
Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in São Sebastião do Oeste/MG (2017–2022)

São Sebastião do Oeste/MG had a reference population (aged 5 or over in 2022) of 8,105 people. In the 2017–2022 five-year period, the municipality received 1,795 in-migrants and lost 430 out-migrants to other municipalities in Brazil, resulting in a net migration of +1,360 people (168.08 per 1,000 population) and a migration effectiveness index (IEM) of 0.612. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Sebastião do Oeste/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,7951,568 to 2,022good
Out-migrants430256 to 604use with caution
Net migration+1,3601,074 to 1,646not classified
Net migration rate, TLM (per 1,000 pop.)168.08--
Migration effectiveness index (IEM)0.612--

Sample of in-migrants: >=500 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São Sebastião do Oeste/MG
OriginPeoplePrecision
Divinópolis/MG · view pair in the atlas290good
São José da Laje/AL · view pair in the atlas230use with caution
União dos Palmares/AL · view pair in the atlas220use with caution
Maceió/AL · view pair in the atlas80low precision
Ibateguara/AL · view pair in the atlas75use with caution
Itapecerica/MG · view pair in the atlas65use with caution
Murici/AL · view pair in the atlas60low precision
Angelim/PE · view pair in the atlas55low precision
Belo Horizonte/MG · view pair in the atlas55low precision
Canhotinho/PE · view pair in the atlas50low precision
Top 10 destinations of out-migrants from São Sebastião do Oeste/MG
DestinationPeoplePrecision
Divinópolis/MG · view pair in the atlas100low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,01556.5%100-499
Multi-step migration70539.3%100-499
Return to municipality of birth703.9%20-49
Other / suppressed50.3%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary39543.9%100-499
Completed high school, incomplete higher education30533.9%100-499
Completed elementary, incomplete high school12513.9%20-49
Completed higher education758.3%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage70038.9%100-499
1 to 2 minimum wages54530.3%100-499
¼ to ½ minimum wage37020.6%100-499
More than 2 minimum wages1256.9%20-49
Up to ¼ of a minimum wage502.8%5-19
Other / suppressed100.6%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male35519.8%100-499
Ages 15–24, female29516.5%50-99
Ages 25–39, male28015.6%100-499
Ages 25–39, female24513.7%50-99
Ages 40–59, female1558.7%20-49
Ages 5–14, male1458.1%20-49
Ages 40–59, male1257.0%20-49
Ages 5–14, female1005.6%20-49
Ages 60 and over, male502.8%5-19
Ages 60 and over, female402.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration19044.2%5-19
Return to municipality of birth15034.9%5-19
First move from municipality of birth9020.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education10536.8%5-19
No schooling or incomplete elementary9533.3%5-19
Completed elementary, incomplete high school7526.3%5-19
Other / suppressed103.5%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage18543.0%5-19
¼ to ½ minimum wage11526.7%5-19
Other / suppressed6515.1%5-19
1 to 2 minimum wages6515.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male10023.5%5-19
Other / suppressed8520.0%5-19
Ages 15–24, female7517.6%5-19
Ages 25–39, female6014.1%5-19
Ages 40–59, female5512.9%5-19
Ages 40–59, male5011.8%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,30550.7%>=500
Completed high school, incomplete higher education1,32529.2%100-499
Completed elementary, incomplete high school51511.3%100-499
Completed higher education4008.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,12044.5%>=500
1 to 2 minimum wages2,18531.1%>=500
¼ to ½ minimum wage98514.0%100-499
More than 2 minimum wages5457.8%100-499
Up to ¼ of a minimum wage1702.4%20-49
Other / suppressed100.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male88514.0%100-499
Ages 40–59, male85513.6%100-499
Ages 25–39, female81512.9%100-499
Ages 40–59, female79012.5%100-499
Ages 60 and over, male6159.8%100-499
Ages 60 and over, female5859.3%100-499
Ages 5–14, female4807.6%100-499
Ages 5–14, male4507.1%100-499
Ages 15–24, female4156.6%100-499
Ages 15–24, male4106.5%100-499

Commuting (work and study)

Commuting indicators for São Sebastião do Oeste/MG
Employed persons (aged 10 and over)4,800
Commute out to work in another municipality170
Commute in from another municipality to work here1,045
Net commuting+875
Out-commuting rate (%)3.54
Commuting attraction index1.178
Median commuting time40 min

Open São Sebastião do Oeste/MG 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]: São Sebastião do Oeste/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-sebastiao-do-oeste-mg-3164605/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.