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

Migration in Cachoeira de Minas/MG (2017–2022)

Cachoeira de Minas/MG had a reference population (aged 5 or over in 2022) of 11,210 people. In the 2017–2022 five-year period, the municipality received 790 in-migrants and lost 600 out-migrants to other municipalities in Brazil, resulting in a net migration of +190 people (16.84 per 1,000 population) and a migration effectiveness index (IEM) of 0.136. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Cachoeira de Minas/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants790593 to 987good
Out-migrants600380 to 820use with caution
Net migration+190−106 to 486not classified
Net migration rate, TLM (per 1,000 pop.)16.84--
Migration effectiveness index (IEM)0.136--

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 Cachoeira de Minas/MG
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas105low precision
Pouso Alegre/MG · view pair in the atlas100low precision
São José dos Campos/SP · view pair in the atlas45low precision
Santa Rita do Sapucaí/MG · view pair in the atlas40low precision
Paraisópolis/MG · view pair in the atlas30low precision
Guarulhos/SP · view pair in the atlas30low precision
Conceição dos Ouros/MG · view pair in the atlas25low precision
Brazópolis/MG · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Cachoeira de Minas/MG
DestinationPeoplePrecision
Pouso Alegre/MG · view pair in the atlas175low precision
Santa Rita do Sapucaí/MG · view pair in the atlas120low precision
Conceição dos Ouros/MG · view pair in the atlas55low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth40050.6%50-99
Multi-step migration32541.1%50-99
Return to municipality of birth658.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education16029.4%20-49
No schooling or incomplete elementary15528.4%20-49
Completed higher education14526.6%20-49
Completed elementary, incomplete high school8515.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages26032.7%20-49
½ to 1 minimum wage24030.2%20-49
¼ to ½ minimum wage16520.8%20-49
More than 2 minimum wages658.2%5-19
Up to ¼ of a minimum wage658.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male10012.7%5-19
Ages 40–59, female9512.0%20-49
Ages 25–39, female9512.0%5-19
Ages 60 and over, male9011.4%5-19
Ages 25–39, male8510.8%5-19
Ages 5–14, male8510.8%5-19
Ages 15–24, male8010.1%5-19
Ages 60 and over, female759.5%5-19
Ages 15–24, female455.7%5-19
Ages 5–14, female405.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth27546.2%20-49
Multi-step migration19532.8%20-49
Return to municipality of birth12521.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education12036.9%5-19
No schooling or incomplete elementary9529.2%5-19
Completed higher education7021.5%5-19
Completed elementary, incomplete high school4012.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages19532.5%5-19
More than 2 minimum wages16026.7%5-19
½ to 1 minimum wage13021.7%20-49
Up to ¼ of a minimum wage559.2%5-19
¼ to ½ minimum wage508.3%5-19
Other / suppressed101.7%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed15025.0%5-19
Ages 15–24, female11519.2%5-19
Ages 25–39, female11519.2%5-19
Ages 15–24, male7011.7%5-19
Ages 5–14, female559.2%5-19
Ages 25–39, male508.3%5-19
Ages 40–59, male457.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,53545.7%>=500
Completed high school, incomplete higher education2,24029.0%100-499
Completed elementary, incomplete high school1,03513.4%100-499
Completed higher education92512.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,57041.2%>=500
1 to 2 minimum wages3,00027.1%>=500
¼ to ½ minimum wage1,91517.3%100-499
Up to ¼ of a minimum wage8207.4%100-499
More than 2 minimum wages7606.9%100-499
Other / suppressed250.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,56515.0%100-499
Ages 40–59, male1,56015.0%100-499
Ages 60 and over, male1,26012.1%100-499
Ages 60 and over, female1,21511.7%100-499
Ages 25–39, male1,08510.4%100-499
Ages 25–39, female1,05510.1%100-499
Ages 15–24, male7307.0%100-499
Ages 15–24, female6706.4%100-499
Ages 5–14, male6506.2%100-499
Ages 5–14, female6256.0%100-499

Commuting (work and study)

Commuting indicators for Cachoeira de Minas/MG
Employed persons (aged 10 and over)5,245
Commute out to work in another municipality845
Commute in from another municipality to work here450
Net commuting−395
Out-commuting rate (%)16.12
Commuting attraction index0.900
Median commuting time30 min

Open Cachoeira de Minas/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]: Cachoeira de Minas/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cachoeira-de-minas-mg-3109709/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.