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

Migration in Manga/MG (2017–2022)

Manga/MG had a reference population (aged 5 or over in 2022) of 17,565 people. In the 2017–2022 five-year period, the municipality received 940 in-migrants and lost 1,450 out-migrants to other municipalities in Brazil, resulting in a net migration of −515 people (−29.24 per 1,000 population) and a migration effectiveness index (IEM) of −0.215. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Manga/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants940756 to 1,124good
Out-migrants1,4501,137 to 1,763good
Net migration−515−878 to −152not classified
Net migration rate, TLM (per 1,000 pop.)−29.24--
Migration effectiveness index (IEM)−0.215--

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 Manga/MG
OriginPeoplePrecision
Montes Claros/MG · view pair in the atlas125use with caution
Belo Horizonte/MG · view pair in the atlas90low precision
Jaíba/MG · view pair in the atlas65low precision
Brasília/DF · view pair in the atlas60low precision
Montalvânia/MG · view pair in the atlas60low precision
Janaúba/MG · view pair in the atlas45low precision
São Paulo/SP · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Manga/MG
DestinationPeoplePrecision
Montes Claros/MG · view pair in the atlas105low precision
Nova Serrana/MG · view pair in the atlas85low precision
Jaíba/MG · view pair in the atlas70low precision
Itacarambi/MG · view pair in the atlas60low precision
São João das Missões/MG · view pair in the atlas60low precision
Mirassol/SP · view pair in the atlas55low precision
Bom Despacho/MG · view pair in the atlas45low precision
São José do Rio Preto/SP · view pair in the atlas45low precision
Varjão de Minas/MG · view pair in the atlas40low precision
Matias Cardoso/MG · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth35537.8%50-99
First move from municipality of birth33035.1%50-99
Multi-step migration25527.1%50-99
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary24038.7%50-99
Completed high school, incomplete higher education16526.6%20-49
Completed higher education11518.5%20-49
Completed elementary, incomplete high school10016.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage22023.4%20-49
¼ to ½ minimum wage19520.7%20-49
1 to 2 minimum wages17018.1%20-49
½ to 1 minimum wage17018.1%20-49
Not applicable (collective dwelling)12513.3%20-49
More than 2 minimum wages606.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male25026.5%50-99
Ages 25–39, female16517.5%20-49
Ages 40–59, male11011.6%20-49
Ages 15–24, male909.5%5-19
Ages 15–24, female859.0%5-19
Ages 5–14, male808.5%5-19
Ages 40–59, female757.9%5-19
Ages 5–14, female656.9%5-19
Other / suppressed252.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,10575.9%100-499
Multi-step migration20013.7%20-49
Return to municipality of birth15010.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education26535.6%20-49
No schooling or incomplete elementary22029.5%20-49
Completed elementary, incomplete high school15520.8%20-49
Completed higher education10514.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages48533.3%50-99
½ to 1 minimum wage39026.8%50-99
¼ to ½ minimum wage23015.8%20-49
Up to ¼ of a minimum wage19013.1%20-49
More than 2 minimum wages1409.6%5-19
Other / suppressed201.4%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female29520.4%20-49
Ages 25–39, male22515.6%20-49
Ages 25–39, female20013.8%20-49
Ages 15–24, male20013.8%20-49
Ages 40–59, male1309.0%5-19
Ages 5–14, male1309.0%20-49
Ages 40–59, female1208.3%5-19
Ages 5–14, female805.5%5-19
Ages 60 and over, female402.8%5-19
Ages 60 and over, male251.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary6,11055.6%>=500
Completed high school, incomplete higher education2,24020.4%100-499
Completed elementary, incomplete high school1,39012.6%100-499
Completed higher education1,25011.4%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,83032.5%>=500
¼ to ½ minimum wage5,66031.6%>=500
Up to ¼ of a minimum wage3,79521.2%>=500
1 to 2 minimum wages2,02011.3%100-499
More than 2 minimum wages5803.2%100-499
Not applicable (collective dwelling)500.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,24013.5%100-499
Ages 40–59, male2,19013.2%100-499
Ages 25–39, male1,81010.9%100-499
Ages 25–39, female1,80010.8%100-499
Ages 60 and over, female1,5659.4%100-499
Ages 15–24, male1,5309.2%100-499
Ages 15–24, female1,4508.7%100-499
Ages 60 and over, male1,3858.3%100-499
Ages 5–14, female1,3458.1%100-499
Ages 5–14, male1,3107.9%100-499

Commuting (work and study)

Commuting indicators for Manga/MG
Employed persons (aged 10 and over)6,455
Commute out to work in another municipality690
Commute in from another municipality to work here130
Net commuting−560
Out-commuting rate (%)10.69
Commuting attraction index0.898
Median commuting time60 min

Open Manga/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]: Manga/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/manga-mg-3139300/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.