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

Migration in Caeté/MG (2017–2022)

Caeté/MG had a reference population (aged 5 or over in 2022) of 36,575 people. In the 2017–2022 five-year period, the municipality received 1,545 in-migrants and lost 1,580 out-migrants to other municipalities in Brazil, resulting in a net migration of −35 people (−0.94 per 1,000 population) and a migration effectiveness index (IEM) of −0.011. This classifies the municipality, for the period, as one of migratory depletion. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Caeté/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,5451,165 to 1,925good
Out-migrants1,5801,162 to 1,998good
Net migration−35−600 to 530not classified
Net migration rate, TLM (per 1,000 pop.)−0.94--
Migration effectiveness index (IEM)−0.011--

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 Caeté/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas755use with caution
Top 10 destinations of out-migrants from Caeté/MG
DestinationPeoplePrecision
Belo Horizonte/MG · view pair in the atlas420low precision
Barão de Cocais/MG · view pair in the atlas65low precision
Betim/MG · view pair in the atlas60low precision
Sabará/MG · view pair in the atlas50low precision
Nova União/MG · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth75548.9%50-99
Multi-step migration49031.7%20-49
Return to municipality of birth30019.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education43538.5%20-49
Completed higher education27023.9%20-49
No schooling or incomplete elementary24021.2%20-49
Completed elementary, incomplete high school18516.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage44528.8%20-49
More than 2 minimum wages38024.6%20-49
1 to 2 minimum wages36523.6%20-49
¼ to ½ minimum wage19512.6%5-19
Up to ¼ of a minimum wage1056.8%5-19
Other / suppressed553.6%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female21013.6%20-49
Ages 40–59, male21013.6%20-49
Ages 25–39, male20513.3%20-49
Ages 25–39, female20012.9%5-19
Ages 60 and over, male19512.6%5-19
Ages 5–14, female1207.8%5-19
Ages 60 and over, female1107.1%5-19
Ages 5–14, male1006.5%5-19
Ages 15–24, male1006.5%5-19
Ages 15–24, female956.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth80550.9%50-99
Multi-step migration60538.3%50-99
Return to municipality of birth17010.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education56557.4%50-99
Completed higher education18518.8%5-19
No schooling or incomplete elementary13513.7%20-49
Completed elementary, incomplete high school10010.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage42526.9%50-99
More than 2 minimum wages41025.9%20-49
1 to 2 minimum wages38524.4%20-49
¼ to ½ minimum wage16510.4%20-49
Up to ¼ of a minimum wage1559.8%5-19
Other / suppressed402.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male31520.0%20-49
Ages 25–39, female27017.1%20-49
Ages 40–59, male20012.7%20-49
Ages 15–24, female17010.8%5-19
Ages 5–14, female1559.8%20-49
Ages 15–24, male1559.8%20-49
Ages 40–59, female1509.5%5-19
Ages 5–14, male1107.0%5-19
Other / suppressed503.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education9,98539.4%>=500
No schooling or incomplete elementary8,46033.4%>=500
Completed elementary, incomplete high school3,66514.4%100-499
Completed higher education3,25512.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12,25532.9%>=500
1 to 2 minimum wages8,49022.8%>=500
¼ to ½ minimum wage7,11519.1%>=500
Up to ¼ of a minimum wage5,11513.7%100-499
More than 2 minimum wages4,16011.2%100-499
Not applicable (collective dwelling)750.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female5,54515.8%>=500
Ages 40–59, male4,87013.9%100-499
Ages 60 and over, female4,11511.8%100-499
Ages 25–39, female3,94011.3%100-499
Ages 25–39, male3,68510.5%100-499
Ages 60 and over, male3,2059.2%100-499
Ages 15–24, male2,5707.3%100-499
Ages 5–14, male2,4807.1%100-499
Ages 15–24, female2,4256.9%100-499
Ages 5–14, female2,1856.2%100-499

Commuting (work and study)

Commuting indicators for Caeté/MG
Employed persons (aged 10 and over)16,280
Commute out to work in another municipality2,660
Commute in from another municipality to work here585
Net commuting−2,075
Out-commuting rate (%)16.33
Commuting attraction index0.829
Median commuting time60 min

This municipality is part of Região Metropolitana de Belo Horizonte → see the metropolitan region page

Open Caeté/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]: Caeté/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/caete-mg-3110004/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.