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

Migration in Itaobim/MG (2017–2022)

Itaobim/MG had a reference population (aged 5 or over in 2022) of 18,035 people. In the 2017–2022 five-year period, the municipality received 1,365 in-migrants and lost 1,350 out-migrants to other municipalities in Brazil, resulting in a net migration of +15 people (0.90 per 1,000 population) and a migration effectiveness index (IEM) of 0.006. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Itaobim/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,3651,045 to 1,685good
Out-migrants1,350986 to 1,714good
Net migration+15−470 to 500not classified
Net migration rate, TLM (per 1,000 pop.)0.90--
Migration effectiveness index (IEM)0.006--

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 Itaobim/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas150use with caution
São Paulo/SP · view pair in the atlas110low precision
Teófilo Otoni/MG · view pair in the atlas110low precision
Jequitinhonha/MG · view pair in the atlas105low precision
Araçuaí/MG · view pair in the atlas60low precision
Rio de Janeiro/RJ · view pair in the atlas55low precision
Top 10 destinations of out-migrants from Itaobim/MG
DestinationPeoplePrecision
Betim/MG · view pair in the atlas170low precision
Governador Valadares/MG · view pair in the atlas90low precision
Vespasiano/MG · view pair in the atlas75low precision
Itinga/MG · view pair in the atlas70low precision
Ponto dos Volantes/MG · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth61044.7%50-99
Multi-step migration38528.2%20-49
First move from municipality of birth37027.1%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education31536.8%20-49
No schooling or incomplete elementary29534.5%20-49
Completed higher education12514.6%5-19
Completed elementary, incomplete high school12014.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage46534.1%20-49
¼ to ½ minimum wage33024.2%20-49
1 to 2 minimum wages22516.5%20-49
More than 2 minimum wages15011.0%5-19
Not applicable (collective dwelling)1007.3%5-19
Up to ¼ of a minimum wage957.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male29021.3%20-49
Ages 15–24, female19014.0%5-19
Ages 25–39, female18513.6%5-19
Ages 40–59, male15011.0%5-19
Ages 5–14, female1359.9%5-19
Ages 40–59, female1359.9%5-19
Ages 5–14, male957.0%5-19
Ages 15–24, male856.2%5-19
Ages 60 and over, female654.8%5-19
Other / suppressed302.2%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth88065.2%100-499
Multi-step migration36026.7%20-49
Return to municipality of birth1108.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary27536.2%20-49
Completed high school, incomplete higher education20527.0%5-19
Completed higher education19525.7%20-49
Completed elementary, incomplete high school8511.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages34525.6%20-49
½ to 1 minimum wage33524.8%20-49
¼ to ½ minimum wage31523.3%20-49
More than 2 minimum wages16512.2%5-19
Up to ¼ of a minimum wage16011.9%20-49
Other / suppressed302.2%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female22516.6%20-49
Ages 15–24, male22516.6%20-49
Ages 25–39, male19514.4%20-49
Ages 15–24, female13510.0%5-19
Ages 60 and over, female1259.2%5-19
Ages 5–14, female1158.5%5-19
Ages 5–14, male1108.1%5-19
Ages 40–59, male856.3%5-19
Ages 40–59, female805.9%5-19
Ages 60 and over, male604.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary6,45554.7%>=500
Completed high school, incomplete higher education2,71022.9%100-499
Completed higher education1,33511.3%100-499
Completed elementary, incomplete high school1,31011.1%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage7,03539.6%>=500
¼ to ½ minimum wage4,66026.2%100-499
Up to ¼ of a minimum wage2,60514.7%100-499
1 to 2 minimum wages2,45513.8%100-499
More than 2 minimum wages9755.5%50-99
Other / suppressed400.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male2,38514.3%100-499
Ages 40–59, female2,35514.1%100-499
Ages 60 and over, female1,94511.7%100-499
Ages 25–39, female1,79510.8%100-499
Ages 25–39, male1,68510.1%100-499
Ages 60 and over, male1,6459.9%100-499
Ages 15–24, male1,4108.5%100-499
Ages 15–24, female1,2007.2%100-499
Ages 5–14, male1,1556.9%100-499
Ages 5–14, female1,0856.5%100-499

Commuting (work and study)

Commuting indicators for Itaobim/MG
Employed persons (aged 10 and over)7,390
Commute out to work in another municipality230
Commute in from another municipality to work here305
Net commuting+75
Out-commuting rate (%)3.12
Commuting attraction index0.993
Median commuting time58 min

Open Itaobim/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]: Itaobim/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/itaobim-mg-3133303/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.