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

Migration in Prudente de Morais/MG (2017–2022)

Prudente de Morais/MG had a reference population (aged 5 or over in 2022) of 10,720 people. In the 2017–2022 five-year period, the municipality received 1,160 in-migrants and lost 600 out-migrants to other municipalities in Brazil, resulting in a net migration of +560 people (52.23 per 1,000 population) and a migration effectiveness index (IEM) of 0.318. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Prudente de Morais/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,160943 to 1,377good
Out-migrants600403 to 797use with caution
Net migration+560267 to 853not classified
Net migration rate, TLM (per 1,000 pop.)52.23--
Migration effectiveness index (IEM)0.318--

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 Prudente de Morais/MG
OriginPeoplePrecision
Sete Lagoas/MG · view pair in the atlas420good
Belo Horizonte/MG · view pair in the atlas150low precision
Matozinhos/MG · view pair in the atlas105low precision
Capim Branco/MG · view pair in the atlas55low precision
Pedro Leopoldo/MG · view pair in the atlas45low precision
Funilândia/MG · view pair in the atlas40low precision
Inhaúma/MG · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Prudente de Morais/MG
DestinationPeoplePrecision
Sete Lagoas/MG · view pair in the atlas330use with caution
Funilândia/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration63554.7%100-499
First move from municipality of birth46540.1%50-99
Return to municipality of birth605.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education34040.2%50-99
No schooling or incomplete elementary25029.6%20-49
Completed higher education13015.4%20-49
Completed elementary, incomplete high school12514.8%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage51044.2%50-99
1 to 2 minimum wages22019.0%20-49
More than 2 minimum wages19516.9%20-49
¼ to ½ minimum wage11510.0%20-49
Up to ¼ of a minimum wage1109.5%20-49
Other / suppressed50.4%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female18516.0%20-49
Ages 40–59, male18015.6%20-49
Ages 25–39, male17515.2%20-49
Ages 40–59, female15013.0%20-49
Ages 5–14, male958.2%5-19
Ages 5–14, female907.8%5-19
Ages 60 and over, male806.9%5-19
Ages 60 and over, female756.5%5-19
Ages 15–24, female706.1%5-19
Ages 15–24, male554.8%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration30550.8%20-49
Return to municipality of birth21035.0%20-49
First move from municipality of birth8514.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education15536.5%20-49
Completed higher education13030.6%5-19
No schooling or incomplete elementary9522.4%5-19
Completed elementary, incomplete high school4510.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages38063.3%20-49
½ to 1 minimum wage10016.7%5-19
Up to ¼ of a minimum wage508.3%5-19
More than 2 minimum wages406.7%5-19
¼ to ½ minimum wage305.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female12020.0%5-19
Ages 25–39, male10517.5%5-19
Ages 15–24, female9515.8%5-19
Ages 40–59, female7011.7%5-19
Ages 60 and over, male6510.8%5-19
Other / suppressed6010.0%5-19
Ages 40–59, male559.2%5-19
Ages 5–14, female305.0%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education2,55038.3%100-499
No schooling or incomplete elementary2,43536.6%100-499
Completed elementary, incomplete high school88013.2%100-499
Completed higher education78511.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,25041.3%>=500
1 to 2 minimum wages2,50024.3%100-499
¼ to ½ minimum wage1,77517.2%100-499
More than 2 minimum wages8808.6%100-499
Up to ¼ of a minimum wage8758.5%100-499
Other / suppressed100.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,44015.1%100-499
Ages 40–59, male1,25513.1%100-499
Ages 25–39, female1,25513.1%100-499
Ages 25–39, male1,19512.5%100-499
Ages 60 and over, female8208.6%100-499
Ages 15–24, male8008.4%100-499
Ages 15–24, female7157.5%100-499
Ages 5–14, male7007.3%100-499
Ages 60 and over, male6857.2%100-499
Ages 5–14, female6807.1%100-499

Commuting (work and study)

Commuting indicators for Prudente de Morais/MG
Employed persons (aged 10 and over)5,635
Commute out to work in another municipality2,665
Commute in from another municipality to work here375
Net commuting−2,290
Out-commuting rate (%)47.33
Commuting attraction index0.566
Median commuting time40 min

This municipality is part of Colar Metropolitano de Belo Horizonte → see the metropolitan region page

Open Prudente de Morais/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]: Prudente de Morais/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/prudente-de-morais-mg-3153608/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.