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

Migration in Areado/MG (2017–2022)

Areado/MG had a reference population (aged 5 or over in 2022) of 13,180 people. In the 2017–2022 five-year period, the municipality received 670 in-migrants and lost 735 out-migrants to other municipalities in Brazil, resulting in a net migration of −65 people (−4.87 per 1,000 population) and a migration effectiveness index (IEM) of −0.046. This classifies the municipality, for the period, as one of migratory depletion. In addition, 20 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Areado/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants670512 to 828good
Out-migrants735465 to 1,005use with caution
Net migration−65−378 to 248not classified
Net migration rate, TLM (per 1,000 pop.)−4.87--
Migration effectiveness index (IEM)−0.046--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Areado/MG
OriginPeoplePrecision
Alfenas/MG · view pair in the atlas110use with caution
Alterosa/MG · view pair in the atlas60low precision
São Paulo/SP · view pair in the atlas55low precision
Poços de Caldas/MG · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Areado/MG
DestinationPeoplePrecision
Alfenas/MG · view pair in the atlas180low precision
Alterosa/MG · view pair in the atlas40low precision
Divisa Nova/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth31046.6%50-99
Multi-step migration27040.6%50-99
Return to municipality of birth8512.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education15033.3%20-49
No schooling or incomplete elementary12527.8%20-49
Completed high school, incomplete higher education10022.2%20-49
Completed elementary, incomplete high school7516.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage19529.1%20-49
More than 2 minimum wages15022.4%20-49
1 to 2 minimum wages13520.1%20-49
¼ to ½ minimum wage12518.7%20-49
Up to ¼ of a minimum wage558.2%5-19
Other / suppressed101.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female11016.4%20-49
Ages 25–39, male11016.4%20-49
Ages 60 and over, female7511.2%5-19
Ages 15–24, female7511.2%5-19
Ages 40–59, male659.7%5-19
Ages 5–14, female558.2%5-19
Ages 5–14, male558.2%5-19
Ages 40–59, female507.5%5-19
Ages 60 and over, male456.7%5-19
Ages 15–24, male304.5%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth35548.3%20-49
Multi-step migration25034.0%20-49
Return to municipality of birth13017.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education18036.7%20-49
Completed higher education14529.6%5-19
No schooling or incomplete elementary12024.5%20-49
Completed elementary, incomplete high school459.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages25534.7%20-49
½ to 1 minimum wage19526.5%20-49
More than 2 minimum wages19025.9%5-19
Up to ¼ of a minimum wage506.8%5-19
¼ to ½ minimum wage456.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female20527.7%20-49
Ages 25–39, male13518.2%5-19
Ages 15–24, female8010.8%5-19
Ages 5–14, male7510.1%5-19
Ages 40–59, male658.8%5-19
Ages 5–14, female608.1%5-19
Ages 40–59, female506.8%5-19
Other / suppressed405.4%5-19
Ages 15–24, male304.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,10045.1%>=500
Completed high school, incomplete higher education2,34525.8%100-499
Completed elementary, incomplete high school1,39015.3%100-499
Completed higher education1,25513.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,25039.8%>=500
1 to 2 minimum wages3,24524.6%>=500
¼ to ½ minimum wage2,54019.2%>=500
More than 2 minimum wages1,2259.3%100-499
Up to ¼ of a minimum wage9207.0%100-499
Other / suppressed150.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,93015.5%100-499
Ages 40–59, male1,81014.5%100-499
Ages 25–39, female1,37011.0%100-499
Ages 25–39, male1,36510.9%100-499
Ages 60 and over, female1,34010.7%100-499
Ages 60 and over, male1,27510.2%100-499
Ages 15–24, male9407.5%100-499
Ages 5–14, female8256.6%100-499
Ages 5–14, male8256.6%100-499
Ages 15–24, female8106.5%100-499

Commuting (work and study)

Commuting indicators for Areado/MG
Employed persons (aged 10 and over)6,080
Commute out to work in another municipality915
Commute in from another municipality to work here225
Net commuting−690
Out-commuting rate (%)15.02
Commuting attraction index0.872
Median commuting time40 min

Open Areado/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]: Areado/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/areado-mg-3104304/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.