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

Migration in Berilo/MG (2017–2022)

Berilo/MG had a reference population (aged 5 or over in 2022) of 9,390 people. In the 2017–2022 five-year period, the municipality received 385 in-migrants and lost 495 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−11.38 per 1,000 population) and a migration effectiveness index (IEM) of −0.121. This classifies the municipality, for the period, as one of migratory depletion. In addition, 30 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Berilo/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants385258 to 512use with caution
Out-migrants495315 to 675use with caution
Net migration−105−326 to 116not classified
Net migration rate, TLM (per 1,000 pop.)−11.38--
Migration effectiveness index (IEM)−0.121--

Sample of in-migrants: 50-99 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 Berilo/MG
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas130low precision
Chapada do Norte/MG · view pair in the atlas30low precision
Belo Horizonte/MG · view pair in the atlas25low precision
Virgem da Lapa/MG · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Berilo/MG
DestinationPeoplePrecision
Virgem da Lapa/MG · view pair in the atlas40low precision
Ribeirão Corrente/SP · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth19550.6%20-49
First move from municipality of birth13033.8%20-49
Multi-step migration6015.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8532.7%20-49
Completed high school, incomplete higher education8532.7%5-19
Completed higher education6023.1%5-19
Completed elementary, incomplete high school3011.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage14036.4%20-49
½ to 1 minimum wage9524.7%20-49
¼ to ½ minimum wage7018.2%5-19
1 to 2 minimum wages6015.6%5-19
Other / suppressed205.2%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female8020.3%5-19
Ages 25–39, male6015.2%5-19
Ages 5–14, male5012.7%5-19
Ages 40–59, male5012.7%5-19
Ages 40–59, female4511.4%5-19
Ages 15–24, female4010.1%5-19
Ages 5–14, female358.9%5-19
Other / suppressed358.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth42585.9%50-99
Multi-step migration6012.1%5-19
Other / suppressed102.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary12042.9%20-49
Completed high school, incomplete higher education11039.3%5-19
Completed elementary, incomplete high school3010.7%5-19
Other / suppressed207.1%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages19539.4%5-19
½ to 1 minimum wage16032.3%20-49
¼ to ½ minimum wage10020.2%20-49
Other / suppressed408.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female13026.5%5-19
Ages 25–39, male8016.3%5-19
Ages 15–24, male6513.3%5-19
Ages 25–39, female6513.3%5-19
Ages 40–59, female6012.2%5-19
Other / suppressed5010.2%5-19
Ages 40–59, male408.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,77558.9%>=500
Completed high school, incomplete higher education1,36521.3%100-499
Completed higher education69010.8%100-499
Completed elementary, incomplete high school5759.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,67539.1%>=500
¼ to ½ minimum wage2,24523.9%100-499
Up to ¼ of a minimum wage1,83519.5%100-499
1 to 2 minimum wages1,34514.3%100-499
More than 2 minimum wages3103.3%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,42015.8%100-499
Ages 40–59, female1,34515.0%100-499
Ages 25–39, male98511.0%100-499
Ages 60 and over, female98010.9%100-499
Ages 25–39, female8609.6%100-499
Ages 60 and over, male8109.0%100-499
Ages 15–24, male8008.9%100-499
Ages 15–24, female6907.7%100-499
Ages 5–14, female5556.2%100-499
Ages 5–14, male5255.9%50-99

Commuting (work and study)

Commuting indicators for Berilo/MG
Employed persons (aged 10 and over)3,245
Commute out to work in another municipality605
Commute in from another municipality to work here60
Net commuting−540
Out-commuting rate (%)18.58
Commuting attraction index0.795
Median commuting time30 min

Open Berilo/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]: Berilo/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/berilo-mg-3106507/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.