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

Migration in Carmo do Paranaíba/MG (2017–2022)

Carmo do Paranaíba/MG had a reference population (aged 5 or over in 2022) of 27,580 people. In the 2017–2022 five-year period, the municipality received 1,265 in-migrants and lost 1,175 out-migrants to other municipalities in Brazil, resulting in a net migration of +90 people (3.24 per 1,000 population) and a migration effectiveness index (IEM) of 0.037. This classifies the municipality, for the period, as one of migratory attraction. In addition, 35 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Carmo do Paranaíba/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,265814 to 1,716use with caution
Out-migrants1,175911 to 1,439good
Net migration+90−433 to 613not classified
Net migration rate, TLM (per 1,000 pop.)3.24--
Migration effectiveness index (IEM)0.037--

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 Carmo do Paranaíba/MG
OriginPeoplePrecision
Patos de Minas/MG · view pair in the atlas165low precision
Uberlândia/MG · view pair in the atlas80low precision
Rio Paranaíba/MG · view pair in the atlas65low precision
Belo Horizonte/MG · view pair in the atlas60low precision
Top 10 destinations of out-migrants from Carmo do Paranaíba/MG
DestinationPeoplePrecision
Patos de Minas/MG · view pair in the atlas290use with caution
Rio Paranaíba/MG · view pair in the atlas125low precision
Lagoa Formosa/MG · view pair in the atlas95low precision
Arapuá/MG · view pair in the atlas50low precision
Serra do Salitre/MG · view pair in the atlas50low precision
Tiros/MG · view pair in the atlas45low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth72056.9%50-99
Multi-step migration30023.7%20-49
Return to municipality of birth24519.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary28036.6%20-49
Completed higher education22529.4%5-19
Completed high school, incomplete higher education15520.3%5-19
Completed elementary, incomplete high school10513.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage44034.9%20-49
1 to 2 minimum wages34027.0%20-49
Up to ¼ of a minimum wage27021.4%20-49
More than 2 minimum wages1159.1%5-19
¼ to ½ minimum wage756.0%5-19
Other / suppressed201.6%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male25520.2%20-49
Ages 25–39, male25019.8%20-49
Ages 40–59, male17513.9%5-19
Ages 25–39, female16012.7%5-19
Ages 15–24, female15512.3%5-19
Ages 40–59, female1058.3%5-19
Other / suppressed1058.3%5-19
Ages 60 and over, female554.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth67057.0%50-99
Multi-step migration32027.2%50-99
Return to municipality of birth18515.7%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education21029.6%20-49
Completed high school, incomplete higher education19026.8%20-49
No schooling or incomplete elementary17023.9%20-49
Completed elementary, incomplete high school14019.7%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages36030.6%20-49
1 to 2 minimum wages27523.4%20-49
½ to 1 minimum wage24020.4%20-49
¼ to ½ minimum wage19516.6%20-49
Up to ¼ of a minimum wage1058.9%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, female29024.8%20-49
Ages 25–39, male19516.7%20-49
Ages 15–24, female19016.2%20-49
Ages 15–24, male16514.1%20-49
Ages 40–59, female907.7%5-19
Ages 40–59, male756.4%5-19
Ages 5–14, male554.7%5-19
Ages 5–14, female504.3%5-19
Ages 60 and over, male403.4%5-19
Other / suppressed201.7%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9,99551.1%>=500
Completed high school, incomplete higher education4,40522.5%100-499
Completed elementary, incomplete high school2,87514.7%100-499
Completed higher education2,30011.7%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage10,99039.7%>=500
1 to 2 minimum wages7,63027.6%>=500
More than 2 minimum wages3,76013.6%100-499
¼ to ½ minimum wage3,69513.3%100-499
Up to ¼ of a minimum wage1,6205.8%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, female4,07515.5%100-499
Ages 40–59, male4,00515.2%100-499
Ages 60 and over, female3,23512.3%100-499
Ages 60 and over, male2,84010.8%100-499
Ages 25–39, male2,80510.7%100-499
Ages 25–39, female2,61510.0%100-499
Ages 5–14, male1,7256.6%100-499
Ages 15–24, male1,6956.5%100-499
Ages 15–24, female1,6806.4%100-499
Ages 5–14, female1,5956.1%100-499

Commuting (work and study)

Commuting indicators for Carmo do Paranaíba/MG
Employed persons (aged 10 and over)13,335
Commute out to work in another municipality260
Commute in from another municipality to work here320
Net commuting+60
Out-commuting rate (%)1.96
Commuting attraction index0.969
Median commuting time30 min

Open Carmo do Paranaíba/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]: Carmo do Paranaíba/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/carmo-do-paranaiba-mg-3114303/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.