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

Migration in Pouso Alto/MG (2017–2022)

Pouso Alto/MG had a reference population (aged 5 or over in 2022) of 6,235 people. In the 2017–2022 five-year period, the municipality received 640 in-migrants and lost 365 out-migrants to other municipalities in Brazil, resulting in a net migration of +275 people (43.79 per 1,000 population) and a migration effectiveness index (IEM) of 0.271. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Pouso Alto/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants640514 to 766good
Out-migrants365213 to 517use with caution
Net migration+27578 to 472not classified
Net migration rate, TLM (per 1,000 pop.)43.79--
Migration effectiveness index (IEM)0.271--

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 Pouso Alto/MG
OriginPeoplePrecision
Itanhandu/MG · view pair in the atlas90use with caution
São Sebastião do Rio Verde/MG · view pair in the atlas75low precision
São Lourenço/MG · view pair in the atlas70low precision
Itamonte/MG · view pair in the atlas45low precision
São Paulo/SP · view pair in the atlas40low precision
São José dos Campos/SP · view pair in the atlas30low precision
Rio de Janeiro/RJ · view pair in the atlas30low precision
Caxambu/MG · view pair in the atlas20low precision
Passa Quatro/MG · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Pouso Alto/MG
DestinationPeoplePrecision
Itamonte/MG · view pair in the atlas65low precision
Itanhandu/MG · view pair in the atlas45low precision
São Sebastião do Rio Verde/MG · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth34554.3%100-499
Multi-step migration19530.7%50-99
Return to municipality of birth9014.2%20-49
Other / suppressed50.8%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14529.9%20-49
Completed high school, incomplete higher education14529.9%20-49
Completed higher education11022.7%20-49
Completed elementary, incomplete high school8517.5%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage19530.5%50-99
½ to 1 minimum wage16025.0%50-99
1 to 2 minimum wages11518.0%20-49
More than 2 minimum wages10516.4%20-49
Up to ¼ of a minimum wage609.4%5-19
Other / suppressed50.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male11017.3%20-49
Ages 25–39, female9515.0%20-49
Ages 40–59, female9014.2%20-49
Ages 40–59, male8513.4%20-49
Ages 60 and over, male558.7%5-19
Ages 15–24, male457.1%5-19
Ages 60 and over, female457.1%5-19
Ages 5–14, male457.1%5-19
Ages 5–14, female406.3%5-19
Ages 15–24, female253.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth19052.8%20-49
Multi-step migration11030.6%20-49
Return to municipality of birth6016.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education8534.0%5-19
Completed higher education6526.0%5-19
No schooling or incomplete elementary5522.0%5-19
Completed elementary, incomplete high school4518.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages13035.6%20-49
More than 2 minimum wages7019.2%5-19
½ to 1 minimum wage6517.8%5-19
¼ to ½ minimum wage5515.1%5-19
Other / suppressed4512.3%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed8523.0%5-19
Ages 25–39, male8523.0%5-19
Ages 25–39, female7520.3%5-19
Ages 5–14, female4512.2%5-19
Ages 40–59, female308.1%5-19
Ages 5–14, male308.1%5-19
Ages 15–24, female205.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,36554.8%>=500
Completed high school, incomplete higher education90020.9%100-499
Completed elementary, incomplete high school65515.2%100-499
Completed higher education3959.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,26038.2%>=500
1 to 2 minimum wages1,48025.0%100-499
¼ to ½ minimum wage1,07018.1%100-499
Up to ¼ of a minimum wage62010.5%100-499
More than 2 minimum wages4657.9%100-499
Not applicable (collective dwelling)200.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male91016.2%100-499
Ages 40–59, female84015.0%100-499
Ages 60 and over, female73513.1%100-499
Ages 60 and over, male66011.8%100-499
Ages 25–39, female61010.9%100-499
Ages 25–39, male57010.2%100-499
Ages 5–14, female3255.8%50-99
Ages 15–24, female3205.7%100-499
Ages 15–24, male3155.6%100-499
Ages 5–14, male3155.6%50-99

Commuting (work and study)

Commuting indicators for Pouso Alto/MG
Employed persons (aged 10 and over)2,615
Commute out to work in another municipality405
Commute in from another municipality to work here530
Net commuting+125
Out-commuting rate (%)15.42
Commuting attraction index1.036
Median commuting time30 min

Open Pouso Alto/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]: Pouso Alto/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pouso-alto-mg-3152600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.