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

Migration in Igaratinga/MG (2017–2022)

Igaratinga/MG had a reference population (aged 5 or over in 2022) of 10,110 people. In the 2017–2022 five-year period, the municipality received 925 in-migrants and lost 655 out-migrants to other municipalities in Brazil, resulting in a net migration of +270 people (26.59 per 1,000 population) and a migration effectiveness index (IEM) of 0.170. This classifies the municipality, for the period, as one of migratory attraction. In addition, 30 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Igaratinga/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants925718 to 1,132good
Out-migrants655395 to 915use with caution
Net migration+270−62 to 602not classified
Net migration rate, TLM (per 1,000 pop.)26.59--
Migration effectiveness index (IEM)0.170--

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 Igaratinga/MG
OriginPeoplePrecision
Pará de Minas/MG · view pair in the atlas85use with caution
Belo Horizonte/MG · view pair in the atlas80low precision
Água Boa/MG · view pair in the atlas75low precision
Divinópolis/MG · view pair in the atlas60low precision
São Gonçalo do Pará/MG · view pair in the atlas45low precision
Contagem/MG · view pair in the atlas40low precision
Padre Paraíso/MG · view pair in the atlas35low precision
Itaúna/MG · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Igaratinga/MG
DestinationPeoplePrecision
Pará de Minas/MG · view pair in the atlas175low precision
Belo Horizonte/MG · view pair in the atlas145low precision
São Gonçalo do Pará/MG · view pair in the atlas45low precision
Água Boa/MG · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration45549.2%50-99
First move from municipality of birth44047.6%50-99
Return to municipality of birth303.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education19539.0%20-49
No schooling or incomplete elementary16032.0%20-49
Completed elementary, incomplete high school10521.0%20-49
Completed higher education408.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage30032.3%50-99
1 to 2 minimum wages24526.3%20-49
¼ to ½ minimum wage20021.5%20-49
Up to ¼ of a minimum wage10010.8%20-49
More than 2 minimum wages859.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female15016.3%20-49
Ages 25–39, male14515.8%20-49
Ages 15–24, female12513.6%20-49
Ages 15–24, male11012.0%20-49
Ages 5–14, female9510.3%5-19
Ages 40–59, male9510.3%5-19
Ages 5–14, male859.2%5-19
Ages 40–59, female707.6%5-19
Ages 60 and over, male303.3%5-19
Other / suppressed151.6%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration33050.0%20-49
First move from municipality of birth16525.0%5-19
Return to municipality of birth16525.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17035.8%20-49
Completed higher education15031.6%5-19
Completed high school, incomplete higher education9018.9%5-19
Completed elementary, incomplete high school6513.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21031.8%20-49
More than 2 minimum wages20030.3%5-19
1 to 2 minimum wages14522.0%5-19
Up to ¼ of a minimum wage8012.1%5-19
¼ to ½ minimum wage253.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female12018.3%5-19
Other / suppressed11517.6%5-19
Ages 40–59, female9514.5%5-19
Ages 25–39, male8012.2%5-19
Ages 15–24, female8012.2%5-19
Ages 40–59, male609.2%5-19
Ages 15–24, male406.1%5-19
Ages 5–14, female406.1%5-19
Ages 5–14, male253.8%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,59555.5%>=500
Completed elementary, incomplete high school1,22018.8%100-499
Completed high school, incomplete higher education1,21018.7%100-499
Completed higher education4506.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,22042.7%>=500
1 to 2 minimum wages2,73027.6%>=500
¼ to ½ minimum wage1,95519.8%100-499
Up to ¼ of a minimum wage5455.5%100-499
More than 2 minimum wages3703.7%50-99
Not applicable (collective dwelling)550.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,35014.7%100-499
Ages 40–59, female1,30014.2%100-499
Ages 25–39, male1,22013.3%100-499
Ages 25–39, female1,13012.3%100-499
Ages 15–24, male7858.6%100-499
Ages 60 and over, female7708.4%100-499
Ages 60 and over, male7057.7%100-499
Ages 15–24, female6757.4%100-499
Ages 5–14, male6306.9%100-499
Ages 5–14, female5906.4%100-499

Commuting (work and study)

Commuting indicators for Igaratinga/MG
Employed persons (aged 10 and over)5,695
Commute out to work in another municipality220
Commute in from another municipality to work here360
Net commuting+140
Out-commuting rate (%)3.82
Commuting attraction index1.004
Median commuting time40 min

Open Igaratinga/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]: Igaratinga/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/igaratinga-mg-3130200/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.