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

Migration in Cristiano Otoni/MG (2017–2022)

Cristiano Otoni/MG had a reference population (aged 5 or over in 2022) of 4,395 people. In the 2017–2022 five-year period, the municipality received 165 in-migrants and lost 335 out-migrants to other municipalities in Brazil, resulting in a net migration of −170 people (−38.78 per 1,000 population) and a migration effectiveness index (IEM) of −0.344. 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 Cristiano Otoni/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants16592 to 238use with caution
Out-migrants335199 to 471use with caution
Net migration−170−324 to −16not classified
Net migration rate, TLM (per 1,000 pop.)−38.78--
Migration effectiveness index (IEM)−0.344--

Sample of in-migrants: 50-99 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 Cristiano Otoni/MG
OriginPeoplePrecision
Conselheiro Lafaiete/MG · view pair in the atlas35low precision
Carandaí/MG · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Cristiano Otoni/MG
DestinationPeoplePrecision
Conselheiro Lafaiete/MG · view pair in the atlas165low precision
Santana dos Montes/MG · view pair in the atlas25low precision
Caranaíba/MG · view pair in the atlas15low precision
Casa Grande/MG · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth10060.6%20-49
Multi-step migration5533.3%5-19
Other / suppressed106.1%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education3535.0%5-19
No schooling or incomplete elementary3030.0%5-19
Completed elementary, incomplete high school2020.0%5-19
Completed higher education1515.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages6036.4%5-19
½ to 1 minimum wage6036.4%5-19
¼ to ½ minimum wage3018.2%5-19
Other / suppressed159.1%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed4528.1%5-19
Ages 25–39, female3018.8%5-19
Ages 25–39, male2515.6%5-19
Ages 15–24, female2515.6%5-19
Ages 40–59, female2012.5%5-19
Ages 5–14, female159.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration14543.9%20-49
First move from municipality of birth11534.8%5-19
Return to municipality of birth7021.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education7027.5%5-19
No schooling or incomplete elementary7027.5%5-19
Completed higher education6525.5%5-19
Completed elementary, incomplete high school5019.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages11032.8%5-19
½ to 1 minimum wage9026.9%5-19
More than 2 minimum wages6017.9%5-19
¼ to ½ minimum wage5516.4%5-19
Other / suppressed206.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female8525.4%5-19
Ages 25–39, male6519.4%5-19
Other / suppressed6017.9%5-19
Ages 40–59, female5516.4%5-19
Ages 15–24, female4513.4%5-19
Ages 40–59, male257.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,46048.3%100-499
Completed high school, incomplete higher education93530.9%100-499
Completed elementary, incomplete high school36512.1%100-499
Completed higher education2658.8%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,42531.7%100-499
¼ to ½ minimum wage1,40531.3%100-499
1 to 2 minimum wages87019.4%100-499
Up to ¼ of a minimum wage56512.6%100-499
More than 2 minimum wages2305.1%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male65515.5%100-499
Ages 40–59, female64015.1%100-499
Ages 60 and over, female46010.9%100-499
Ages 25–39, female45010.7%100-499
Ages 25–39, male42510.1%100-499
Ages 60 and over, male3909.2%100-499
Ages 15–24, male3558.4%100-499
Ages 15–24, female3007.1%50-99
Ages 5–14, female2906.9%50-99
Ages 5–14, male2606.2%50-99

Commuting (work and study)

Commuting indicators for Cristiano Otoni/MG
Employed persons (aged 10 and over)1,770
Commute out to work in another municipality365
Commute in from another municipality to work here170
Net commuting−190
Out-commuting rate (%)20.48
Commuting attraction index0.867
Median commuting time30 min

Open Cristiano Otoni/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]: Cristiano Otoni/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cristiano-otoni-mg-3120409/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.