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

Migration in Cristina/MG (2017–2022)

Cristina/MG had a reference population (aged 5 or over in 2022) of 9,795 people. In the 2017–2022 five-year period, the municipality received 405 in-migrants and lost 475 out-migrants to other municipalities in Brazil, resulting in a net migration of −70 people (−7.20 per 1,000 population) and a migration effectiveness index (IEM) of −0.081. 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 Cristina/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants405280 to 530use with caution
Out-migrants475274 to 676use with caution
Net migration−70−307 to 167not classified
Net migration rate, TLM (per 1,000 pop.)−7.20--
Migration effectiveness index (IEM)−0.081--

Sample of in-migrants: 50-99 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 Cristina/MG
OriginPeoplePrecision
Itajubá/MG · view pair in the atlas55low precision
Olímpio Noronha/MG · view pair in the atlas35low precision
São José dos Campos/SP · view pair in the atlas30low precision
Maria da Fé/MG · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Cristina/MG
DestinationPeoplePrecision
Maria da Fé/MG · view pair in the atlas90low precision
Pouso Alegre/MG · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth17042.5%20-49
Multi-step migration16040.0%20-49
Return to municipality of birth7017.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education9037.5%5-19
Completed high school, incomplete higher education6527.1%5-19
No schooling or incomplete elementary6025.0%5-19
Completed elementary, incomplete high school2510.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage14536.2%20-49
1 to 2 minimum wages12030.0%20-49
¼ to ½ minimum wage5513.8%5-19
More than 2 minimum wages4511.2%5-19
Up to ¼ of a minimum wage358.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female5513.8%5-19
Ages 40–59, female5012.5%5-19
Ages 5–14, male5012.5%5-19
Ages 15–24, female4511.2%5-19
Ages 40–59, male4511.2%5-19
Ages 25–39, male4010.0%5-19
Ages 15–24, male358.8%5-19
Ages 5–14, female307.5%5-19
Ages 60 and over, female307.5%5-19
Other / suppressed205.0%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth33069.5%20-49
Multi-step migration9018.9%5-19
Return to municipality of birth5511.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary13041.9%20-49
Completed higher education7524.2%5-19
Completed high school, incomplete higher education7022.6%5-19
Completed elementary, incomplete high school3511.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages12025.3%5-19
½ to 1 minimum wage12025.3%20-49
¼ to ½ minimum wage10522.1%5-19
More than 2 minimum wages10021.1%5-19
Up to ¼ of a minimum wage306.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female10021.3%5-19
Ages 40–59, female7516.0%5-19
Ages 15–24, female5010.6%5-19
Ages 25–39, male5010.6%5-19
Ages 15–24, male5010.6%5-19
Ages 5–14, female408.5%5-19
Other / suppressed408.5%5-19
Ages 40–59, male357.4%5-19
Ages 60 and over, female306.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,99057.7%>=500
Completed high school, incomplete higher education1,31519.0%100-499
Completed higher education82511.9%100-499
Completed elementary, incomplete high school79011.4%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,41044.3%>=500
1 to 2 minimum wages2,03020.4%100-499
¼ to ½ minimum wage1,91519.2%100-499
Up to ¼ of a minimum wage7907.9%100-499
More than 2 minimum wages7807.8%100-499
Not applicable (collective dwelling)400.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,41515.1%100-499
Ages 40–59, female1,36514.5%100-499
Ages 25–39, male1,12011.9%100-499
Ages 60 and over, male1,02010.9%100-499
Ages 25–39, female1,01510.8%100-499
Ages 60 and over, female98510.5%100-499
Ages 15–24, male7007.5%100-499
Ages 15–24, female6356.8%100-499
Ages 5–14, male5756.1%100-499
Ages 5–14, female5606.0%100-499

Commuting (work and study)

Commuting indicators for Cristina/MG
Employed persons (aged 10 and over)5,055
Commute out to work in another municipality135
Commute in from another municipality to work here100
Net commuting−40
Out-commuting rate (%)2.72
Commuting attraction index0.984
Median commuting time40 min

Open Cristina/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]: Cristina/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cristina-mg-3120508/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.