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

Migration in Machacalis/MG (2017–2022)

Machacalis/MG had a reference population (aged 5 or over in 2022) of 6,110 people. In the 2017–2022 five-year period, the municipality received 480 in-migrants and lost 620 out-migrants to other municipalities in Brazil, resulting in a net migration of −140 people (−23.28 per 1,000 population) and a migration effectiveness index (IEM) of −0.129. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Machacalis/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants480382 to 578good
Out-migrants620397 to 843use with caution
Net migration−140−383 to 103not classified
Net migration rate, TLM (per 1,000 pop.)−23.28--
Migration effectiveness index (IEM)−0.129--

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 Machacalis/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas95use with caution
Águas Formosas/MG · view pair in the atlas75low precision
São Paulo/SP · view pair in the atlas70low precision
Bertópolis/MG · view pair in the atlas30low precision
Umburatiba/MG · view pair in the atlas30low precision
Teófilo Otoni/MG · view pair in the atlas25low precision
Santa Helena de Minas/MG · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Machacalis/MG
DestinationPeoplePrecision
Bertópolis/MG · view pair in the atlas55low precision
Águas Formosas/MG · view pair in the atlas45low precision
Santa Helena de Minas/MG · view pair in the atlas20low precision
Umburatiba/MG · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth22045.8%50-99
First move from municipality of birth14029.2%50-99
Multi-step migration12025.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education13038.8%20-49
No schooling or incomplete elementary9528.4%20-49
Completed elementary, incomplete high school7020.9%20-49
Completed higher education4011.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage18037.1%50-99
½ to 1 minimum wage12024.7%20-49
1 to 2 minimum wages8517.5%20-49
Up to ¼ of a minimum wage7515.5%20-49
More than 2 minimum wages255.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female9519.8%20-49
Ages 25–39, male7515.6%20-49
Ages 40–59, female7014.6%20-49
Ages 40–59, male7014.6%20-49
Ages 15–24, female459.4%5-19
Ages 5–14, female459.4%5-19
Ages 15–24, male306.2%5-19
Ages 5–14, male255.2%5-19
Ages 60 and over, female153.1%5-19
Other / suppressed102.1%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth46074.2%50-99
Multi-step migration13521.8%20-49
Return to municipality of birth254.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14543.3%20-49
Completed high school, incomplete higher education8525.4%5-19
Completed higher education5516.4%5-19
Completed elementary, incomplete high school5014.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage19531.2%20-49
½ to 1 minimum wage16025.6%20-49
1 to 2 minimum wages13020.8%5-19
More than 2 minimum wages11518.4%5-19
Up to ¼ of a minimum wage203.2%5-19
Other / suppressed50.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male10516.9%20-49
Ages 25–39, female9515.3%5-19
Ages 15–24, female9014.5%5-19
Ages 40–59, female7011.3%5-19
Ages 15–24, male7011.3%5-19
Ages 5–14, female6510.5%5-19
Ages 5–14, male6510.5%5-19
Ages 40–59, male254.0%5-19
Ages 60 and over, female203.2%5-19
Other / suppressed152.4%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,17053.6%>=500
Completed high school, incomplete higher education1,02025.2%100-499
Completed elementary, incomplete high school55013.6%100-499
Completed higher education3057.5%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,41540.2%>=500
¼ to ½ minimum wage1,75029.2%>=500
1 to 2 minimum wages91015.2%100-499
Up to ¼ of a minimum wage69011.5%100-499
More than 2 minimum wages2353.9%50-99
Other / suppressed00.0%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male80514.3%100-499
Ages 40–59, female79014.1%100-499
Ages 60 and over, female66511.8%100-499
Ages 60 and over, male65011.6%100-499
Ages 25–39, male58510.4%100-499
Ages 25–39, female5459.7%100-499
Ages 15–24, male4608.2%100-499
Ages 15–24, female3906.9%100-499
Ages 5–14, female3706.6%100-499
Ages 5–14, male3606.4%100-499

Commuting (work and study)

Commuting indicators for Machacalis/MG
Employed persons (aged 10 and over)2,510
Commute out to work in another municipality100
Commute in from another municipality to work here70
Net commuting−30
Out-commuting rate (%)3.99
Commuting attraction index0.974
Median commuting time40 min

Open Machacalis/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]: Machacalis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/machacalis-mg-3138906/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.