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

Migration in Conceição dos Ouros/MG (2017–2022)

Conceição dos Ouros/MG had a reference population (aged 5 or over in 2022) of 10,275 people. In the 2017–2022 five-year period, the municipality received 705 in-migrants and lost 475 out-migrants to other municipalities in Brazil, resulting in a net migration of +230 people (22.45 per 1,000 population) and a migration effectiveness index (IEM) of 0.195. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Conceição dos Ouros/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants705533 to 877good
Out-migrants475276 to 674use with caution
Net migration+230−33 to 493not classified
Net migration rate, TLM (per 1,000 pop.)22.45--
Migration effectiveness index (IEM)0.195--

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 Conceição dos Ouros/MG
OriginPeoplePrecision
São José dos Campos/SP · view pair in the atlas105low precision
Pouso Alegre/MG · view pair in the atlas90low precision
Cachoeira de Minas/MG · view pair in the atlas55low precision
Brazópolis/MG · view pair in the atlas45low precision
São Paulo/SP · view pair in the atlas40low precision
Paraisópolis/MG · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Conceição dos Ouros/MG
DestinationPeoplePrecision
Paraisópolis/MG · view pair in the atlas130low precision
São José dos Campos/SP · view pair in the atlas85low precision
Cachoeira de Minas/MG · view pair in the atlas25low precision
Brazópolis/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth29041.1%50-99
Multi-step migration27038.3%50-99
Return to municipality of birth14520.6%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education16534.0%20-49
No schooling or incomplete elementary14028.9%20-49
Completed higher education10020.6%5-19
Completed elementary, incomplete high school8016.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage22031.2%20-49
1 to 2 minimum wages18025.5%20-49
¼ to ½ minimum wage13519.1%20-49
More than 2 minimum wages11516.3%20-49
Up to ¼ of a minimum wage557.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male13518.9%20-49
Ages 25–39, female10514.7%20-49
Ages 40–59, female10014.0%5-19
Ages 40–59, male8011.2%5-19
Ages 15–24, female709.8%5-19
Ages 15–24, male608.4%5-19
Ages 60 and over, male507.0%5-19
Ages 5–14, female507.0%5-19
Ages 5–14, male456.3%5-19
Other / suppressed202.8%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration26054.7%20-49
First move from municipality of birth17536.8%20-49
Return to municipality of birth408.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education9532.8%5-19
Completed high school, incomplete higher education7525.9%5-19
No schooling or incomplete elementary7024.1%5-19
Completed elementary, incomplete high school5017.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages18538.9%20-49
½ to 1 minimum wage17035.8%5-19
More than 2 minimum wages6513.7%5-19
¼ to ½ minimum wage357.4%5-19
Other / suppressed204.2%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female7515.6%5-19
Ages 25–39, male7014.6%5-19
Ages 25–39, female7014.6%5-19
Ages 5–14, male5511.5%5-19
Ages 40–59, male5511.5%5-19
Ages 15–24, male5511.5%5-19
Ages 40–59, female5010.4%5-19
Ages 60 and over, male357.3%5-19
Other / suppressed153.1%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,45050.5%>=500
Completed high school, incomplete higher education1,60023.4%100-499
Completed higher education93013.6%100-499
Completed elementary, incomplete high school85012.4%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,40543.4%>=500
1 to 2 minimum wages2,47024.3%100-499
¼ to ½ minimum wage1,94019.1%100-499
More than 2 minimum wages8108.0%100-499
Up to ¼ of a minimum wage5055.0%100-499
Not applicable (collective dwelling)300.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,45015.2%100-499
Ages 40–59, female1,40514.7%100-499
Ages 25–39, male1,05511.0%100-499
Ages 25–39, female1,02510.7%100-499
Ages 60 and over, male9509.9%100-499
Ages 60 and over, female9459.9%100-499
Ages 15–24, male7608.0%100-499
Ages 15–24, female7057.4%100-499
Ages 5–14, male6506.8%100-499
Ages 5–14, female6056.3%100-499

Commuting (work and study)

Commuting indicators for Conceição dos Ouros/MG
Employed persons (aged 10 and over)5,605
Commute out to work in another municipality600
Commute in from another municipality to work here495
Net commuting−105
Out-commuting rate (%)10.70
Commuting attraction index0.861
Median commuting time40 min

Open Conceição dos Ouros/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]: Conceição dos Ouros/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/conceicao-dos-ouros-mg-3117801/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.