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

Migration in Montalvânia/MG (2017–2022)

Montalvânia/MG had a reference population (aged 5 or over in 2022) of 13,175 people. In the 2017–2022 five-year period, the municipality received 395 in-migrants and lost 1,320 out-migrants to other municipalities in Brazil, resulting in a net migration of −930 people (−70.40 per 1,000 population) and a migration effectiveness index (IEM) of −0.541. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Montalvânia/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants395271 to 519use with caution
Out-migrants1,320996 to 1,644good
Net migration−930−1,277 to −583not classified
Net migration rate, TLM (per 1,000 pop.)−70.40--
Migration effectiveness index (IEM)−0.541--

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 Montalvânia/MG
OriginPeoplePrecision
Brasília/DF · view pair in the atlas60low precision
Goiânia/GO · view pair in the atlas35low precision
Montes Claros/MG · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Montalvânia/MG
DestinationPeoplePrecision
Serrana/SP · view pair in the atlas200low precision
Brasília/DF · view pair in the atlas105low precision
Montes Claros/MG · view pair in the atlas75low precision
Juvenília/MG · view pair in the atlas60low precision
Manga/MG · view pair in the atlas60low precision
Itacarambi/MG · view pair in the atlas60low precision
Luís Antônio/SP · view pair in the atlas45low precision
Miravânia/MG · view pair in the atlas40low precision
Delta/MG · view pair in the atlas20low precision
Nipoã/SP · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth18547.4%20-49
First move from municipality of birth11529.5%20-49
Multi-step migration9023.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10542.0%5-19
Completed high school, incomplete higher education7028.0%5-19
Completed higher education5522.0%5-19
Other / suppressed208.0%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage16041.0%20-49
½ to 1 minimum wage9524.4%5-19
Up to ¼ of a minimum wage6015.4%5-19
1 to 2 minimum wages5514.1%5-19
Other / suppressed205.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6516.7%5-19
Ages 25–39, male5514.1%5-19
Ages 15–24, female5514.1%5-19
Ages 40–59, male5012.8%5-19
Ages 40–59, female4010.3%5-19
Other / suppressed359.0%5-19
Ages 15–24, male359.0%5-19
Ages 5–14, female307.7%5-19
Ages 5–14, male256.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth89067.4%100-499
Multi-step migration23017.4%20-49
Return to municipality of birth20015.2%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary25539.5%20-49
Completed high school, incomplete higher education20531.8%20-49
Completed elementary, incomplete high school13020.2%20-49
Completed higher education558.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage45034.1%50-99
¼ to ½ minimum wage34025.8%20-49
Up to ¼ of a minimum wage22517.0%50-99
1 to 2 minimum wages20015.2%20-49
More than 2 minimum wages856.4%5-19
Other / suppressed201.5%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male25519.2%20-49
Ages 15–24, female22016.5%20-49
Ages 25–39, female19014.3%20-49
Ages 25–39, male18013.5%20-49
Ages 5–14, female1158.6%5-19
Ages 40–59, male1007.5%5-19
Ages 5–14, male906.8%5-19
Ages 40–59, female705.3%5-19
Ages 60 and over, female654.9%5-19
Other / suppressed453.4%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,94555.8%>=500
Completed high school, incomplete higher education2,04523.1%100-499
Completed elementary, incomplete high school1,16013.1%100-499
Completed higher education7108.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage4,09029.9%>=500
½ to 1 minimum wage3,92528.7%>=500
Up to ¼ of a minimum wage3,76027.5%>=500
1 to 2 minimum wages1,41510.4%100-499
More than 2 minimum wages4703.4%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,77013.8%100-499
Ages 40–59, male1,76513.8%100-499
Ages 60 and over, female1,38010.8%100-499
Ages 25–39, male1,34510.5%100-499
Ages 25–39, female1,32010.3%100-499
Ages 60 and over, male1,28510.1%100-499
Ages 15–24, male1,0308.1%100-499
Ages 15–24, female9807.7%100-499
Ages 5–14, male9707.6%100-499
Ages 5–14, female9357.3%100-499

Commuting (work and study)

Commuting indicators for Montalvânia/MG
Employed persons (aged 10 and over)3,955
Commute out to work in another municipality215
Commute in from another municipality to work here140
Net commuting−75
Out-commuting rate (%)5.41
Commuting attraction index0.969
Median commuting time720 min

Open Montalvânia/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]: Montalvânia/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/montalvania-mg-3142700/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.