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

Migration in São Francisco/MG (2017–2022)

São Francisco/MG had a reference population (aged 5 or over in 2022) of 48,935 people. In the 2017–2022 five-year period, the municipality received 2,400 in-migrants and lost 3,485 out-migrants to other municipalities in Brazil, resulting in a net migration of −1,085 people (−22.22 per 1,000 population) and a migration effectiveness index (IEM) of −0.185. This classifies the municipality, for the period, as one of migratory depletion. In addition, 190 arrived with an unreported origin and 20 came from abroad.

Indicators

Migration indicators for São Francisco/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants2,4001,962 to 2,838good
Out-migrants3,4852,905 to 4,065good
Net migration−1,085−1,812 to −358not classified
Net migration rate, TLM (per 1,000 pop.)−22.22--
Migration effectiveness index (IEM)−0.185--

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 São Francisco/MG
OriginPeoplePrecision
Montes Claros/MG · view pair in the atlas400use with caution
São Paulo/SP · view pair in the atlas275use with caution
Belo Horizonte/MG · view pair in the atlas265use with caution
Brasília/DF · view pair in the atlas205low precision
Cristalina/GO · view pair in the atlas105low precision
Chapada Gaúcha/MG · view pair in the atlas95low precision
Januária/MG · view pair in the atlas60low precision
Brasília de Minas/MG · view pair in the atlas60low precision
Icaraí de Minas/MG · view pair in the atlas55low precision
Guarulhos/SP · view pair in the atlas50low precision
Top 10 destinations of out-migrants from São Francisco/MG
DestinationPeoplePrecision
Brasília/DF · view pair in the atlas475use with caution
Montes Claros/MG · view pair in the atlas395use with caution
Uberlândia/MG · view pair in the atlas320low precision
Unaí/MG · view pair in the atlas300low precision
Belo Horizonte/MG · view pair in the atlas115low precision
Brasília de Minas/MG · view pair in the atlas95low precision
Januária/MG · view pair in the atlas90low precision
Ribeirão das Neves/MG · view pair in the atlas85low precision
Chapada Gaúcha/MG · view pair in the atlas70low precision
São Gotardo/MG · view pair in the atlas55low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth1,30554.4%100-499
First move from municipality of birth73030.4%50-99
Multi-step migration36515.2%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education62537.7%50-99
No schooling or incomplete elementary52031.3%50-99
Completed higher education30518.4%20-49
Completed elementary, incomplete high school21012.7%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage68028.3%50-99
½ to 1 minimum wage65027.1%50-99
1 to 2 minimum wages48020.0%20-49
Up to ¼ of a minimum wage38516.0%20-49
More than 2 minimum wages1757.3%5-19
Other / suppressed301.2%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male56523.6%50-99
Ages 25–39, female49020.5%20-49
Ages 40–59, female27011.3%20-49
Ages 15–24, male2259.4%20-49
Ages 40–59, male1707.1%5-19
Ages 5–14, female1707.1%5-19
Ages 15–24, female1707.1%5-19
Ages 5–14, male1707.1%5-19
Ages 60 and over, female954.0%5-19
Ages 60 and over, male702.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth2,52072.3%100-499
Multi-step migration67019.2%50-99
Return to municipality of birth2958.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education69536.6%50-99
No schooling or incomplete elementary58030.5%50-99
Completed higher education34518.2%20-49
Completed elementary, incomplete high school28014.7%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,18534.0%100-499
1 to 2 minimum wages80023.0%50-99
¼ to ½ minimum wage75021.5%50-99
Up to ¼ of a minimum wage40511.6%20-49
More than 2 minimum wages2908.3%20-49
Not applicable (collective dwelling)551.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female60017.3%50-99
Ages 15–24, male55516.0%50-99
Ages 15–24, female55516.0%50-99
Ages 25–39, male47513.7%50-99
Ages 40–59, female41511.9%20-49
Ages 5–14, male2607.5%20-49
Ages 5–14, female2106.0%20-49
Ages 60 and over, female1805.2%5-19
Ages 40–59, male1604.6%20-49
Ages 60 and over, male651.9%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary15,21051.2%>=500
Completed high school, incomplete higher education7,42025.0%>=500
Completed elementary, incomplete high school3,76012.7%100-499
Completed higher education3,30011.1%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage15,82031.5%>=500
½ to 1 minimum wage14,19028.3%>=500
Up to ¼ of a minimum wage12,63525.2%>=500
1 to 2 minimum wages5,63511.2%>=500
More than 2 minimum wages1,7403.5%100-499
Not applicable (collective dwelling)1400.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female5,93012.8%>=500
Ages 40–59, male5,78012.5%>=500
Ages 25–39, male5,45011.8%>=500
Ages 25–39, female5,05010.9%>=500
Ages 15–24, male4,5559.8%100-499
Ages 15–24, female4,3409.4%100-499
Ages 5–14, male3,9708.6%100-499
Ages 60 and over, female3,9508.5%100-499
Ages 5–14, female3,7158.0%100-499
Ages 60 and over, male3,4957.5%100-499
Other / suppressed1000.2%5-19

Commuting (work and study)

Commuting indicators for São Francisco/MG
Employed persons (aged 10 and over)17,780
Commute out to work in another municipality1,410
Commute in from another municipality to work here275
Net commuting−1,135
Out-commuting rate (%)7.92
Commuting attraction index0.918
Median commuting time60 min

Open São Francisco/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 Francisco/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-francisco-mg-3161106/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.