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

Migration in Serro/MG (2017–2022)

Serro/MG had a reference population (aged 5 or over in 2022) of 20,610 people. In the 2017–2022 five-year period, the municipality received 1,005 in-migrants and lost 1,190 out-migrants to other municipalities in Brazil, resulting in a net migration of −185 people (−8.94 per 1,000 population) and a migration effectiveness index (IEM) of −0.084. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Serro/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,005726 to 1,284good
Out-migrants1,190806 to 1,574use with caution
Net migration−185−660 to 290not classified
Net migration rate, TLM (per 1,000 pop.)−8.94--
Migration effectiveness index (IEM)−0.084--

Sample of in-migrants: 50-99 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 Serro/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas195use with caution
Conceição do Mato Dentro/MG · view pair in the atlas155low precision
Diamantina/MG · view pair in the atlas95low precision
Top 10 destinations of out-migrants from Serro/MG
DestinationPeoplePrecision
Contagem/MG · view pair in the atlas220low precision
Diamantina/MG · view pair in the atlas125low precision
Belo Horizonte/MG · view pair in the atlas125low precision
Datas/MG · view pair in the atlas65low precision
Conceição do Mato Dentro/MG · view pair in the atlas40low precision
Alvorada de Minas/MG · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth52052.0%20-49
Multi-step migration28028.0%20-49
Return to municipality of birth19019.0%20-49
Other / suppressed101.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education38050.0%20-49
Completed higher education22028.9%20-49
No schooling or incomplete elementary11515.1%5-19
Completed elementary, incomplete high school455.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages38538.3%20-49
More than 2 minimum wages18017.9%5-19
½ to 1 minimum wage16015.9%5-19
¼ to ½ minimum wage13012.9%5-19
Up to ¼ of a minimum wage858.5%5-19
Other / suppressed656.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female21521.4%20-49
Ages 25–39, male19519.4%20-49
Ages 40–59, male10510.4%5-19
Ages 5–14, female959.5%5-19
Ages 40–59, female959.5%5-19
Ages 60 and over, male808.0%5-19
Ages 60 and over, female757.5%5-19
Ages 5–14, male606.0%5-19
Ages 15–24, female454.5%5-19
Ages 15–24, male404.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth71560.1%50-99
Multi-step migration42035.3%20-49
Return to municipality of birth554.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21032.6%20-49
Completed high school, incomplete higher education19029.5%20-49
Completed higher education15023.3%5-19
Completed elementary, incomplete high school9514.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage36030.1%20-49
1 to 2 minimum wages24020.1%20-49
¼ to ½ minimum wage21017.6%20-49
Up to ¼ of a minimum wage19516.3%20-49
More than 2 minimum wages18515.5%5-19
Other / suppressed50.4%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male22518.8%20-49
Ages 25–39, female22018.4%20-49
Ages 15–24, male18015.1%5-19
Ages 15–24, female14011.7%5-19
Ages 5–14, female13010.9%20-49
Ages 5–14, male1008.4%5-19
Ages 40–59, male806.7%5-19
Ages 40–59, female554.6%5-19
Ages 60 and over, female453.8%5-19
Other / suppressed201.7%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7,28554.2%>=500
Completed high school, incomplete higher education3,35525.0%100-499
Completed elementary, incomplete high school1,51011.2%100-499
Completed higher education1,2809.5%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage6,38530.5%>=500
Up to ¼ of a minimum wage5,49026.2%>=500
¼ to ½ minimum wage4,78022.8%100-499
1 to 2 minimum wages2,87013.7%100-499
More than 2 minimum wages1,2806.1%100-499
Other / suppressed1300.6%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male2,59513.2%100-499
Ages 25–39, male2,50012.8%100-499
Ages 40–59, female2,49512.7%100-499
Ages 25–39, female2,37012.1%100-499
Ages 60 and over, female1,8609.5%100-499
Ages 15–24, male1,8559.5%100-499
Ages 15–24, female1,7959.2%100-499
Ages 60 and over, male1,6058.2%100-499
Ages 5–14, male1,2906.6%100-499
Ages 5–14, female1,2356.3%100-499

Commuting (work and study)

Commuting indicators for Serro/MG
Employed persons (aged 10 and over)7,860
Commute out to work in another municipality685
Commute in from another municipality to work here235
Net commuting−450
Out-commuting rate (%)8.73
Commuting attraction index0.925
Median commuting time60 min

Open Serro/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]: Serro/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/serro-mg-3167103/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.