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

Migration in Campos Altos/MG (2017–2022)

Campos Altos/MG had a reference population (aged 5 or over in 2022) of 12,150 people. In the 2017–2022 five-year period, the municipality received 815 in-migrants and lost 865 out-migrants to other municipalities in Brazil, resulting in a net migration of −50 people (−4.25 per 1,000 population) and a migration effectiveness index (IEM) of −0.031. This classifies the municipality, for the period, as one of migratory depletion. In addition, 20 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Campos Altos/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants815592 to 1,038good
Out-migrants865601 to 1,129use with caution
Net migration−50−396 to 296not classified
Net migration rate, TLM (per 1,000 pop.)−4.25--
Migration effectiveness index (IEM)−0.031--

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 Campos Altos/MG
OriginPeoplePrecision
Araxá/MG · view pair in the atlas100low precision
São Gotardo/MG · view pair in the atlas75low precision
Uberaba/MG · view pair in the atlas50low precision
Belo Horizonte/MG · view pair in the atlas35low precision
Santa Rosa da Serra/MG · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Campos Altos/MG
DestinationPeoplePrecision
Araxá/MG · view pair in the atlas200low precision
São Gotardo/MG · view pair in the atlas60low precision
Rio Paranaíba/MG · view pair in the atlas30low precision
Córrego Danta/MG · view pair in the atlas20low precision
Santa Rosa da Serra/MG · view pair in the atlas20low precision
Tapiraí/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration37045.1%50-99
First move from municipality of birth32039.0%50-99
Return to municipality of birth13015.9%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary24545.8%20-49
Completed high school, incomplete higher education13525.2%20-49
Completed higher education9517.8%5-19
Completed elementary, incomplete high school6011.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage26532.7%50-99
¼ to ½ minimum wage20525.3%20-49
1 to 2 minimum wages17521.6%20-49
More than 2 minimum wages9011.1%20-49
Up to ¼ of a minimum wage759.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male15018.3%20-49
Ages 25–39, female14517.7%20-49
Ages 40–59, male10512.8%20-49
Ages 5–14, male9011.0%5-19
Ages 40–59, female8510.4%5-19
Ages 15–24, male8510.4%5-19
Ages 5–14, female607.3%5-19
Ages 15–24, female506.1%5-19
Ages 60 and over, male354.3%5-19
Other / suppressed151.8%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth44050.9%50-99
Multi-step migration29033.5%20-49
Return to municipality of birth13515.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary22049.4%20-49
Completed higher education10022.5%5-19
Completed high school, incomplete higher education8018.0%5-19
Completed elementary, incomplete high school4510.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage28032.2%20-49
1 to 2 minimum wages25028.7%20-49
More than 2 minimum wages14516.7%5-19
Up to ¼ of a minimum wage12514.4%5-19
¼ to ½ minimum wage606.9%5-19
Other / suppressed101.1%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female21525.0%20-49
Ages 25–39, male12014.0%5-19
Ages 40–59, female11513.4%5-19
Ages 25–39, female11513.4%5-19
Ages 5–14, female758.7%5-19
Ages 15–24, male708.1%5-19
Ages 5–14, male607.0%5-19
Ages 40–59, male556.4%5-19
Other / suppressed354.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,89049.9%>=500
Completed high school, incomplete higher education1,88524.2%100-499
Completed higher education1,05513.5%100-499
Completed elementary, incomplete high school96012.3%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,39536.2%>=500
1 to 2 minimum wages3,14025.9%>=500
¼ to ½ minimum wage2,45020.2%>=500
More than 2 minimum wages1,31510.8%100-499
Up to ¼ of a minimum wage8106.7%100-499
Not applicable (collective dwelling)350.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,66514.7%100-499
Ages 40–59, male1,61014.2%100-499
Ages 25–39, female1,22010.8%100-499
Ages 25–39, male1,20510.7%100-499
Ages 60 and over, female1,1009.7%100-499
Ages 60 and over, male9908.8%100-499
Ages 15–24, female8907.9%100-499
Ages 15–24, male8857.8%100-499
Ages 5–14, male8857.8%100-499
Ages 5–14, female8557.6%100-499

Commuting (work and study)

Commuting indicators for Campos Altos/MG
Employed persons (aged 10 and over)6,220
Commute out to work in another municipality255
Commute in from another municipality to work here450
Net commuting+195
Out-commuting rate (%)4.13
Commuting attraction index1.020
Median commuting time54 min

Open Campos Altos/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]: Campos Altos/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/campos-altos-mg-3111507/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.