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

Migration in Itamonte/MG (2017–2022)

Itamonte/MG had a reference population (aged 5 or over in 2022) of 13,920 people. In the 2017–2022 five-year period, the municipality received 685 in-migrants and lost 710 out-migrants to other municipalities in Brazil, resulting in a net migration of −20 people (−1.54 per 1,000 population) and a migration effectiveness index (IEM) of −0.015. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Itamonte/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants685498 to 872good
Out-migrants710483 to 937use with caution
Net migration−20−314 to 274not classified
Net migration rate, TLM (per 1,000 pop.)−1.54--
Migration effectiveness index (IEM)−0.015--

Sample of in-migrants: 100-499 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 Itamonte/MG
OriginPeoplePrecision
Itanhandu/MG · view pair in the atlas75low precision
Pouso Alto/MG · view pair in the atlas65low precision
Rio de Janeiro/RJ · view pair in the atlas55low precision
Resende/RJ · view pair in the atlas45low precision
São Paulo/SP · view pair in the atlas35low precision
Virgínia/MG · view pair in the atlas30low precision
Alagoa/MG · view pair in the atlas30low precision
Passa Quatro/MG · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Itamonte/MG
DestinationPeoplePrecision
Itanhandu/MG · view pair in the atlas65low precision
Pouso Alto/MG · view pair in the atlas45low precision
Alagoa/MG · view pair in the atlas25low precision
Bocaina de Minas/MG · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth36553.3%50-99
Multi-step migration23033.6%20-49
Return to municipality of birth9013.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education15029.4%20-49
Completed elementary, incomplete high school13025.5%20-49
Completed high school, incomplete higher education12524.5%20-49
No schooling or incomplete elementary10520.6%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage19027.7%20-49
½ to 1 minimum wage18026.3%20-49
More than 2 minimum wages15021.9%20-49
1 to 2 minimum wages10515.3%20-49
Up to ¼ of a minimum wage608.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13019.1%20-49
Ages 25–39, male12518.4%20-49
Ages 40–59, male9514.0%5-19
Ages 40–59, female8512.5%5-19
Ages 5–14, male558.1%5-19
Ages 5–14, female507.4%5-19
Ages 15–24, female456.6%5-19
Ages 60 and over, female405.9%5-19
Ages 60 and over, male304.4%5-19
Ages 15–24, male253.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration28039.4%20-49
First move from municipality of birth27038.0%20-49
Return to municipality of birth16022.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education15033.3%5-19
Completed high school, incomplete higher education13028.9%5-19
No schooling or incomplete elementary10022.2%5-19
Completed elementary, incomplete high school7015.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages24034.0%5-19
1 to 2 minimum wages20529.1%20-49
¼ to ½ minimum wage12017.0%20-49
½ to 1 minimum wage8512.1%5-19
Up to ¼ of a minimum wage405.7%5-19
Other / suppressed152.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13519.1%5-19
Ages 25–39, male9513.5%5-19
Ages 40–59, female8512.1%5-19
Ages 15–24, female8512.1%5-19
Ages 40–59, male8011.3%5-19
Ages 15–24, male709.9%5-19
Ages 5–14, male557.8%5-19
Ages 5–14, female507.1%5-19
Ages 60 and over, male355.0%5-19
Other / suppressed152.1%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,32044.5%>=500
Completed high school, incomplete higher education3,05531.5%>=500
Completed elementary, incomplete high school1,23512.7%100-499
Completed higher education1,09011.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,48538.9%>=500
1 to 2 minimum wages3,36023.8%>=500
¼ to ½ minimum wage3,06521.7%>=500
Up to ¼ of a minimum wage1,1908.4%100-499
More than 2 minimum wages9957.1%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,00515.1%100-499
Ages 40–59, male1,90014.4%100-499
Ages 25–39, male1,57011.9%100-499
Ages 25–39, female1,56011.8%100-499
Ages 60 and over, female1,37010.3%100-499
Ages 60 and over, male1,3059.9%100-499
Ages 15–24, male9957.5%100-499
Ages 15–24, female9156.9%100-499
Ages 5–14, male8256.2%100-499
Ages 5–14, female7956.0%100-499

Commuting (work and study)

Commuting indicators for Itamonte/MG
Employed persons (aged 10 and over)6,070
Commute out to work in another municipality345
Commute in from another municipality to work here470
Net commuting+125
Out-commuting rate (%)5.66
Commuting attraction index0.987
Median commuting time30 min

Open Itamonte/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]: Itamonte/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/itamonte-mg-3133006/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.