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

Migration in Virgínia/MG (2017–2022)

Virgínia/MG had a reference population (aged 5 or over in 2022) of 8,430 people. In the 2017–2022 five-year period, the municipality received 395 in-migrants and lost 265 out-migrants to other municipalities in Brazil, resulting in a net migration of +130 people (15.34 per 1,000 population) and a migration effectiveness index (IEM) of 0.196. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Virgínia/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants395265 to 525use with caution
Out-migrants265141 to 389use with caution
Net migration+130−49 to 309not classified
Net migration rate, TLM (per 1,000 pop.)15.34--
Migration effectiveness index (IEM)0.196--

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 Virgínia/MG
OriginPeoplePrecision
São José dos Campos/SP · view pair in the atlas55low precision
Itanhandu/MG · view pair in the atlas45low precision
São Lourenço/MG · view pair in the atlas25low precision
São Paulo/SP · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Virgínia/MG
DestinationPeoplePrecision
Delfim Moreira/MG · view pair in the atlas35low precision
Itamonte/MG · view pair in the atlas30low precision
Dom Viçoso/MG · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth20551.9%20-49
Return to municipality of birth10526.6%20-49
Multi-step migration8521.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education11544.2%20-49
No schooling or incomplete elementary8030.8%5-19
Completed elementary, incomplete high school3513.5%5-19
Completed higher education3011.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage18547.4%20-49
¼ to ½ minimum wage10025.6%20-49
1 to 2 minimum wages6015.4%5-19
Other / suppressed4511.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female7017.7%5-19
Ages 25–39, female5513.9%5-19
Ages 15–24, male5513.9%5-19
Ages 25–39, male5012.7%5-19
Ages 5–14, male4511.4%5-19
Ages 40–59, male4511.4%5-19
Ages 60 and over, female256.3%5-19
Ages 15–24, female256.3%5-19
Other / suppressed256.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth16060.4%20-49
Multi-step migration8030.2%5-19
Return to municipality of birth259.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8548.6%5-19
Completed high school, incomplete higher education3520.0%5-19
Completed higher education3520.0%5-19
Completed elementary, incomplete high school2011.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage12547.2%20-49
Other / suppressed5520.8%5-19
½ to 1 minimum wage5520.8%5-19
More than 2 minimum wages3011.3%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed8531.5%5-19
Ages 5–14, male4014.8%5-19
Ages 40–59, male4014.8%5-19
Ages 25–39, female4014.8%5-19
Ages 40–59, female3513.0%5-19
Ages 25–39, male3011.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,38557.0%>=500
Completed high school, incomplete higher education1,40023.6%100-499
Completed elementary, incomplete high school76512.9%100-499
Completed higher education3906.6%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,93546.2%>=500
¼ to ½ minimum wage1,83021.5%100-499
1 to 2 minimum wages1,38016.2%100-499
Up to ¼ of a minimum wage1,02512.0%100-499
More than 2 minimum wages2953.5%50-99
Not applicable (collective dwelling)500.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,23015.3%100-499
Ages 40–59, female1,15014.3%100-499
Ages 60 and over, female96011.9%100-499
Ages 25–39, male90511.3%100-499
Ages 25–39, female85510.6%100-499
Ages 60 and over, male84510.5%100-499
Ages 15–24, male5857.3%100-499
Ages 15–24, female5707.1%100-499
Ages 5–14, female4856.0%100-499
Ages 5–14, male4505.6%50-99

Commuting (work and study)

Commuting indicators for Virgínia/MG
Employed persons (aged 10 and over)3,785
Commute out to work in another municipality95
Commute in from another municipality to work here145
Net commuting+50
Out-commuting rate (%)2.49
Commuting attraction index1.010
Median commuting time30 min

Open Virgínia/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]: Virgínia/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/virginia-mg-3171709/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.