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

Migration in Diogo de Vasconcelos/MG (2017–2022)

Diogo de Vasconcelos/MG had a reference population (aged 5 or over in 2022) of 3,370 people. In the 2017–2022 five-year period, the municipality received 350 in-migrants and lost 130 out-migrants to other municipalities in Brazil, resulting in a net migration of +220 people (65.95 per 1,000 population) and a migration effectiveness index (IEM) of 0.465. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Diogo de Vasconcelos/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants350251 to 449good
Out-migrants13055 to 205use with caution
Net migration+22096 to 344not classified
Net migration rate, TLM (per 1,000 pop.)65.95--
Migration effectiveness index (IEM)0.465--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Diogo de Vasconcelos/MG
OriginPeoplePrecision
Mariana/MG · view pair in the atlas80use with caution
Belo Horizonte/MG · view pair in the atlas40low precision
Ouro Preto/MG · view pair in the atlas40low precision
Guaraciaba/MG · view pair in the atlas25low precision
Viçosa/MG · view pair in the atlas20low precision
Ponte Nova/MG · view pair in the atlas15low precision
Acaiaca/MG · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Diogo de Vasconcelos/MG
DestinationPeoplePrecision
Mariana/MG · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth12033.8%20-49
First move from municipality of birth12033.8%20-49
Multi-step migration11532.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11044.9%20-49
Completed high school, incomplete higher education7530.6%20-49
Completed elementary, incomplete high school3514.3%5-19
Completed higher education2510.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage14540.8%20-49
¼ to ½ minimum wage9025.4%20-49
Up to ¼ of a minimum wage6518.3%5-19
More than 2 minimum wages308.5%5-19
1 to 2 minimum wages257.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male5515.5%20-49
Ages 40–59, male4512.7%5-19
Ages 40–59, female4512.7%5-19
Ages 25–39, female4011.3%5-19
Ages 15–24, female359.9%5-19
Ages 60 and over, male308.5%5-19
Ages 5–14, male308.5%5-19
Ages 60 and over, female308.5%5-19
Ages 15–24, male257.0%5-19
Ages 5–14, female205.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth7560.0%5-19
Multi-step migration2520.0%5-19
Return to municipality of birth2520.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Other / suppressed60100.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage4032.0%5-19
½ to 1 minimum wage4032.0%5-19
¼ to ½ minimum wage2016.0%5-19
1 to 2 minimum wages1512.0%5-19
Other / suppressed108.0%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed6550.0%5-19
Ages 15–24, male4030.8%5-19
Ages 25–39, male2519.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,58068.7%>=500
Completed high school, incomplete higher education37516.3%100-499
Completed elementary, incomplete high school2209.6%50-99
Completed higher education1255.4%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,28540.3%100-499
¼ to ½ minimum wage90528.4%100-499
Up to ¼ of a minimum wage45014.1%100-499
1 to 2 minimum wages43013.5%100-499
More than 2 minimum wages1203.8%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female46015.3%100-499
Ages 40–59, male45515.1%100-499
Ages 60 and over, male43514.4%100-499
Ages 60 and over, female43514.4%100-499
Ages 25–39, female2658.8%50-99
Ages 25–39, male2508.3%50-99
Ages 15–24, female1906.3%50-99
Ages 15–24, male1806.0%50-99
Ages 5–14, male1755.8%50-99
Ages 5–14, female1705.6%50-99

Commuting (work and study)

Commuting indicators for Diogo de Vasconcelos/MG
Employed persons (aged 10 and over)990
Commute out to work in another municipality100
Commute in from another municipality to work here45
Net commuting−60
Out-commuting rate (%)10.31
Commuting attraction index0.936
Median commuting time65 min

Open Diogo de Vasconcelos/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]: Diogo de Vasconcelos/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/diogo-de-vasconcelos-mg-3121704/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.