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

Migration in Papagaios/MG (2017–2022)

Papagaios/MG had a reference population (aged 5 or over in 2022) of 13,065 people. In the 2017–2022 five-year period, the municipality received 570 in-migrants and lost 770 out-migrants to other municipalities in Brazil, resulting in a net migration of −200 people (−15.28 per 1,000 population) and a migration effectiveness index (IEM) of −0.148. 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 Papagaios/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants570416 to 724good
Out-migrants770524 to 1,016use with caution
Net migration−200−491 to 91not classified
Net migration rate, TLM (per 1,000 pop.)−15.28--
Migration effectiveness index (IEM)−0.148--

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 Papagaios/MG
OriginPeoplePrecision
Belo Horizonte/MG · view pair in the atlas80use with caution
Pompéu/MG · view pair in the atlas55low precision
Pará de Minas/MG · view pair in the atlas45low precision
Maravilhas/MG · view pair in the atlas45low precision
Sete Lagoas/MG · view pair in the atlas35low precision
Corinto/MG · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Papagaios/MG
DestinationPeoplePrecision
Pompéu/MG · view pair in the atlas155low precision
Maravilhas/MG · view pair in the atlas95low precision
Pará de Minas/MG · view pair in the atlas70low precision
Sete Lagoas/MG · view pair in the atlas65low precision
Fortuna de Minas/MG · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration22038.6%20-49
First move from municipality of birth21537.7%20-49
Return to municipality of birth13523.7%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14038.4%20-49
Completed high school, incomplete higher education9526.0%20-49
Completed elementary, incomplete high school7019.2%5-19
Completed higher education6016.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage27548.2%50-99
More than 2 minimum wages10017.5%5-19
¼ to ½ minimum wage8014.0%5-19
1 to 2 minimum wages508.8%5-19
Not applicable (collective dwelling)457.9%5-19
Other / suppressed203.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female9015.7%5-19
Ages 15–24, male8013.9%5-19
Ages 40–59, male7513.0%5-19
Ages 25–39, male7513.0%5-19
Ages 40–59, female559.6%5-19
Ages 15–24, female559.6%5-19
Ages 60 and over, female407.0%5-19
Ages 5–14, female407.0%5-19
Ages 5–14, male356.1%5-19
Ages 60 and over, male305.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration38049.4%50-99
First move from municipality of birth27035.1%20-49
Return to municipality of birth12015.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18043.4%20-49
Completed high school, incomplete higher education12028.9%5-19
Completed higher education6014.5%5-19
Completed elementary, incomplete high school5513.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage30539.4%20-49
1 to 2 minimum wages18023.2%20-49
Up to ¼ of a minimum wage11014.2%5-19
¼ to ½ minimum wage9011.6%5-19
More than 2 minimum wages759.7%5-19
Other / suppressed151.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female16521.4%20-49
Ages 15–24, male12516.2%5-19
Ages 25–39, male12516.2%20-49
Ages 5–14, male9512.3%5-19
Ages 15–24, female8010.4%5-19
Other / suppressed658.4%5-19
Ages 5–14, female607.8%5-19
Ages 40–59, male557.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,17548.4%>=500
Completed high school, incomplete higher education2,15024.9%100-499
Completed elementary, incomplete high school1,25014.5%100-499
Completed higher education1,05512.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,83543.7%>=500
¼ to ½ minimum wage3,07523.0%>=500
1 to 2 minimum wages2,63019.7%>=500
Up to ¼ of a minimum wage9957.5%100-499
More than 2 minimum wages7855.9%100-499
Not applicable (collective dwelling)250.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,86014.9%100-499
Ages 40–59, male1,79014.3%100-499
Ages 25–39, male1,54512.4%100-499
Ages 25–39, female1,51512.1%100-499
Ages 15–24, female1,0558.5%100-499
Ages 15–24, male1,0558.5%100-499
Ages 60 and over, female1,0058.1%100-499
Ages 60 and over, male9157.3%100-499
Ages 5–14, male8857.1%100-499
Ages 5–14, female8556.9%100-499

Commuting (work and study)

Commuting indicators for Papagaios/MG
Employed persons (aged 10 and over)7,255
Commute out to work in another municipality240
Commute in from another municipality to work here535
Net commuting+295
Out-commuting rate (%)3.33
Commuting attraction index1.023
Median commuting time60 min

Open Papagaios/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]: Papagaios/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/papagaios-mg-3146909/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.