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

Migration in Alvinópolis/MG (2017–2022)

Alvinópolis/MG had a reference population (aged 5 or over in 2022) of 14,290 people. In the 2017–2022 five-year period, the municipality received 910 in-migrants and lost 670 out-migrants to other municipalities in Brazil, resulting in a net migration of +240 people (16.63 per 1,000 population) and a migration effectiveness index (IEM) of 0.150. This classifies the municipality, for the period, as one of migratory attraction. In addition, 25 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Alvinópolis/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants910719 to 1,101good
Out-migrants670465 to 875use with caution
Net migration+240−40 to 520not classified
Net migration rate, TLM (per 1,000 pop.)16.63--
Migration effectiveness index (IEM)0.150--

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 Alvinópolis/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas190use with caution
João Monlevade/MG · view pair in the atlas115use with caution
Dom Silvério/MG · view pair in the atlas85low precision
Rio Piracicaba/MG · view pair in the atlas55low precision
São Paulo/SP · view pair in the atlas40low precision
Top 10 destinations of out-migrants from Alvinópolis/MG
DestinationPeoplePrecision
João Monlevade/MG · view pair in the atlas145low precision
Dom Silvério/MG · view pair in the atlas105low precision
Mariana/MG · view pair in the atlas55low precision
Rio Piracicaba/MG · view pair in the atlas50low precision
Barra Longa/MG · view pair in the atlas40low precision
Sem-Peixe/MG · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth41045.3%50-99
Multi-step migration26028.7%50-99
Return to municipality of birth23526.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20533.1%20-49
Completed high school, incomplete higher education20533.1%20-49
Completed higher education16025.8%20-49
Completed elementary, incomplete high school508.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage35539.0%50-99
1 to 2 minimum wages26028.6%50-99
More than 2 minimum wages11012.1%20-49
Up to ¼ of a minimum wage9510.4%5-19
¼ to ½ minimum wage909.9%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, female17018.8%20-49
Ages 25–39, male12513.8%20-49
Ages 40–59, male11512.7%20-49
Ages 40–59, female11012.2%20-49
Ages 15–24, female10011.0%5-19
Ages 5–14, female707.7%5-19
Ages 5–14, male657.2%5-19
Ages 15–24, male556.1%5-19
Ages 60 and over, male505.5%5-19
Ages 60 and over, female455.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth43064.2%50-99
Multi-step migration17526.1%20-49
Return to municipality of birth659.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education16042.7%20-49
No schooling or incomplete elementary13536.0%20-49
Completed elementary, incomplete high school5514.7%5-19
Completed higher education256.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage31546.7%20-49
¼ to ½ minimum wage13520.0%20-49
1 to 2 minimum wages9514.1%5-19
More than 2 minimum wages7010.4%5-19
Up to ¼ of a minimum wage456.7%5-19
Other / suppressed152.2%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male10014.9%5-19
Ages 25–39, female9013.4%5-19
Ages 15–24, female8011.9%5-19
Ages 40–59, female8011.9%5-19
Ages 5–14, male7511.2%5-19
Ages 5–14, female7511.2%5-19
Ages 40–59, male7511.2%5-19
Ages 15–24, male609.0%5-19
Other / suppressed355.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,11050.9%>=500
Completed high school, incomplete higher education2,88028.7%>=500
Completed elementary, incomplete high school1,06010.6%100-499
Completed higher education9909.9%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,96042.2%>=500
1 to 2 minimum wages3,23022.9%>=500
¼ to ½ minimum wage2,91020.6%>=500
More than 2 minimum wages1,0007.1%100-499
Up to ¼ of a minimum wage9756.9%100-499
Not applicable (collective dwelling)350.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male2,05015.4%100-499
Ages 40–59, female2,03515.3%100-499
Ages 60 and over, female1,77013.3%100-499
Ages 60 and over, male1,44010.8%100-499
Ages 25–39, male1,40510.5%100-499
Ages 25–39, female1,34010.0%100-499
Ages 15–24, male9557.2%100-499
Ages 15–24, female8306.2%100-499
Ages 5–14, male7655.7%100-499
Ages 5–14, female7455.6%100-499

Commuting (work and study)

Commuting indicators for Alvinópolis/MG
Employed persons (aged 10 and over)6,640
Commute out to work in another municipality530
Commute in from another municipality to work here150
Net commuting−380
Out-commuting rate (%)7.97
Commuting attraction index0.934
Median commuting time60 min

Open Alvinópolis/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]: Alvinópolis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alvinopolis-mg-3102308/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.