Skip to content
Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Virgem da Lapa/MG (2017–2022)

Virgem da Lapa/MG had a reference population (aged 5 or over in 2022) of 11,160 people. In the 2017–2022 five-year period, the municipality received 570 in-migrants and lost 855 out-migrants to other municipalities in Brazil, resulting in a net migration of −285 people (−25.54 per 1,000 population) and a migration effectiveness index (IEM) of −0.200. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Virgem da Lapa/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants570422 to 718good
Out-migrants855612 to 1,098good
Net migration−285−570 to 0not classified
Net migration rate, TLM (per 1,000 pop.)−25.54--
Migration effectiveness index (IEM)−0.200--

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 Virgem da Lapa/MG
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas85low precision
Belo Horizonte/MG · view pair in the atlas45low precision
Berilo/MG · view pair in the atlas40low precision
Araçuaí/MG · view pair in the atlas35low precision
Jaboticabal/SP · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Virgem da Lapa/MG
DestinationPeoplePrecision
Barrinha/SP · view pair in the atlas70low precision
Salinas/MG · view pair in the atlas55low precision
Coronel Murta/MG · view pair in the atlas55low precision
Araçuaí/MG · view pair in the atlas45low precision
Berilo/MG · view pair in the atlas20low precision
Josenópolis/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth23040.4%20-49
Return to municipality of birth21537.7%20-49
Multi-step migration12521.9%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education13533.8%20-49
No schooling or incomplete elementary13533.8%20-49
Completed elementary, incomplete high school8020.0%5-19
Completed higher education5012.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage19033.0%20-49
½ to 1 minimum wage19033.0%20-49
Up to ¼ of a minimum wage8013.9%5-19
More than 2 minimum wages559.6%5-19
1 to 2 minimum wages457.8%5-19
Other / suppressed152.6%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female9516.8%20-49
Ages 40–59, male9516.8%5-19
Ages 25–39, male8014.2%5-19
Ages 40–59, female7513.3%5-19
Ages 15–24, female559.7%5-19
Ages 5–14, female559.7%5-19
Ages 15–24, male407.1%5-19
Ages 60 and over, female356.2%5-19
Ages 5–14, male203.5%5-19
Other / suppressed152.7%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth64575.9%50-99
Multi-step migration16519.4%20-49
Return to municipality of birth404.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20038.1%20-49
Completed high school, incomplete higher education16030.5%5-19
Completed elementary, incomplete high school9518.1%5-19
Completed higher education7013.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage38545.0%20-49
1 to 2 minimum wages16519.3%5-19
¼ to ½ minimum wage14016.4%20-49
Up to ¼ of a minimum wage708.2%5-19
More than 2 minimum wages657.6%5-19
Other / suppressed303.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female18021.1%5-19
Ages 15–24, female12514.6%5-19
Ages 15–24, male10512.3%5-19
Ages 25–39, male10011.7%5-19
Ages 40–59, male9511.1%5-19
Ages 40–59, female556.4%5-19
Ages 60 and over, female556.4%5-19
Ages 5–14, male505.8%5-19
Ages 5–14, female505.8%5-19
Ages 60 and over, male404.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,34557.2%>=500
Completed high school, incomplete higher education1,74523.0%100-499
Completed elementary, incomplete high school87511.5%100-499
Completed higher education6258.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,52040.2%>=500
¼ to ½ minimum wage2,70024.0%>=500
Up to ¼ of a minimum wage1,98517.7%100-499
1 to 2 minimum wages1,59514.2%100-499
More than 2 minimum wages4003.6%50-99
Not applicable (collective dwelling)300.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,48014.0%100-499
Ages 40–59, female1,46513.8%100-499
Ages 60 and over, female1,30012.3%100-499
Ages 25–39, male1,15510.9%100-499
Ages 25–39, female1,13010.7%100-499
Ages 60 and over, male1,06010.0%100-499
Ages 15–24, male8708.2%100-499
Ages 15–24, female8107.6%100-499
Ages 5–14, male6906.5%100-499
Ages 5–14, female6356.0%100-499

Commuting (work and study)

Commuting indicators for Virgem da Lapa/MG
Employed persons (aged 10 and over)4,065
Commute out to work in another municipality630
Commute in from another municipality to work here40
Net commuting−590
Out-commuting rate (%)15.47
Commuting attraction index0.837
Median commuting time450 min

Open Virgem da Lapa/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]: Virgem da Lapa/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/virgem-da-lapa-mg-3171600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.