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

Migration in Congonhal/MG (2017–2022)

Congonhal/MG had a reference population (aged 5 or over in 2022) of 10,520 people. In the 2017–2022 five-year period, the municipality received 1,170 in-migrants and lost 375 out-migrants to other municipalities in Brazil, resulting in a net migration of +795 people (75.70 per 1,000 population) and a migration effectiveness index (IEM) of 0.515. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Congonhal/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,170925 to 1,415good
Out-migrants375233 to 517use with caution
Net migration+795512 to 1,078not classified
Net migration rate, TLM (per 1,000 pop.)75.70--
Migration effectiveness index (IEM)0.515--

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 Congonhal/MG
OriginPeoplePrecision
Pouso Alegre/MG · view pair in the atlas295use with caution
São Paulo/SP · view pair in the atlas115low precision
Ipuiúna/MG · view pair in the atlas65low precision
Senador José Bento/MG · view pair in the atlas50low precision
Bom Repouso/MG · view pair in the atlas30low precision
Guarulhos/SP · view pair in the atlas30low precision
Poços de Caldas/MG · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Congonhal/MG
DestinationPeoplePrecision
Pouso Alegre/MG · view pair in the atlas85low precision
Senador José Bento/MG · view pair in the atlas65low precision
Borda da Mata/MG · view pair in the atlas40low precision
Ipuiúna/MG · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth62553.4%100-499
Multi-step migration48541.5%50-99
Return to municipality of birth605.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary30040.8%50-99
Completed high school, incomplete higher education25034.0%20-49
Completed higher education9512.9%5-19
Completed elementary, incomplete high school9012.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages40034.2%50-99
½ to 1 minimum wage38032.5%50-99
¼ to ½ minimum wage15012.8%20-49
More than 2 minimum wages13511.5%20-49
Up to ¼ of a minimum wage958.1%5-19
Other / suppressed100.9%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female16514.2%20-49
Ages 40–59, male15513.3%20-49
Ages 25–39, male15012.9%20-49
Ages 15–24, female14012.0%20-49
Ages 5–14, female1109.4%20-49
Ages 15–24, male958.2%20-49
Ages 60 and over, female907.7%5-19
Ages 25–39, female907.7%5-19
Ages 60 and over, male857.3%5-19
Ages 5–14, male857.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration17045.3%20-49
Return to municipality of birth11530.7%5-19
First move from municipality of birth9024.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education9538.0%5-19
No schooling or incomplete elementary8032.0%20-49
Completed higher education5020.0%5-19
Completed elementary, incomplete high school2510.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage10528.4%5-19
More than 2 minimum wages7018.9%5-19
½ to 1 minimum wage7018.9%5-19
1 to 2 minimum wages5514.9%5-19
¼ to ½ minimum wage5013.5%20-49
Other / suppressed205.4%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6517.3%5-19
Ages 40–59, female6016.0%5-19
Ages 25–39, male4512.0%5-19
Ages 15–24, female4512.0%5-19
Other / suppressed4010.7%5-19
Ages 40–59, male4010.7%5-19
Ages 5–14, female359.3%5-19
Ages 5–14, male256.7%5-19
Ages 60 and over, male205.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,68551.7%>=500
Completed high school, incomplete higher education1,89526.6%100-499
Completed elementary, incomplete high school89012.5%100-499
Completed higher education6609.3%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,76538.0%>=500
1 to 2 minimum wages2,90529.3%>=500
¼ to ½ minimum wage1,73517.5%100-499
More than 2 minimum wages1,01510.2%100-499
Up to ¼ of a minimum wage4554.6%50-99
Not applicable (collective dwelling)400.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,46515.7%100-499
Ages 40–59, male1,43015.3%100-499
Ages 60 and over, female1,10511.8%100-499
Ages 60 and over, male1,09011.7%100-499
Ages 25–39, female1,05011.2%100-499
Ages 25–39, male99010.6%100-499
Ages 15–24, male6406.9%100-499
Ages 5–14, male5505.9%50-99
Ages 15–24, female5305.7%50-99
Ages 5–14, female4905.2%50-99

Commuting (work and study)

Commuting indicators for Congonhal/MG
Employed persons (aged 10 and over)5,290
Commute out to work in another municipality960
Commute in from another municipality to work here240
Net commuting−720
Out-commuting rate (%)18.11
Commuting attraction index0.851
Median commuting time30 min

Open Congonhal/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]: Congonhal/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/congonhal-mg-3117900/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.