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

Migration in Mauá da Serra/PR (2017–2022)

Mauá da Serra/PR had a reference population (aged 5 or over in 2022) of 8,640 people. In the 2017–2022 five-year period, the municipality received 440 in-migrants and lost 675 out-migrants to other municipalities in Brazil, resulting in a net migration of −235 people (−27.12 per 1,000 population) and a migration effectiveness index (IEM) of −0.210. This classifies the municipality, for the period, as one of migratory depletion. In addition, 20 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Mauá da Serra/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants440278 to 602use with caution
Out-migrants675450 to 900use with caution
Net migration−235−512 to 42not classified
Net migration rate, TLM (per 1,000 pop.)−27.12--
Migration effectiveness index (IEM)−0.210--

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 Mauá da Serra/PR
OriginPeoplePrecision
Faxinal/PR · view pair in the atlas75low precision
Tamarana/PR · view pair in the atlas50low precision
Marilândia do Sul/PR · view pair in the atlas45low precision
Arapongas/PR · view pair in the atlas25low precision
Londrina/PR · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Mauá da Serra/PR
DestinationPeoplePrecision
Londrina/PR · view pair in the atlas110low precision
Faxinal/PR · view pair in the atlas90low precision
Ortigueira/PR · view pair in the atlas90low precision
Apucarana/PR · view pair in the atlas50low precision
Arapongas/PR · view pair in the atlas50low precision
Marilândia do Sul/PR · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration21047.7%20-49
First move from municipality of birth19043.2%20-49
Return to municipality of birth409.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary12042.1%20-49
Completed high school, incomplete higher education11540.4%20-49
Completed elementary, incomplete high school3010.5%5-19
Other / suppressed207.0%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage17038.6%20-49
Up to ¼ of a minimum wage9020.5%5-19
1 to 2 minimum wages8519.3%5-19
¼ to ½ minimum wage8018.2%5-19
Other / suppressed153.4%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male8519.5%5-19
Ages 40–59, female6514.9%5-19
Ages 25–39, female5512.6%5-19
Ages 25–39, male5512.6%5-19
Ages 5–14, male409.2%5-19
Ages 5–14, female409.2%5-19
Ages 15–24, female409.2%5-19
Ages 15–24, male306.9%5-19
Other / suppressed255.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration46068.1%50-99
First move from municipality of birth13520.0%20-49
Return to municipality of birth8011.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education16040.5%5-19
No schooling or incomplete elementary12531.6%5-19
Completed elementary, incomplete high school8521.5%5-19
Completed higher education256.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage29043.0%20-49
¼ to ½ minimum wage14020.7%5-19
1 to 2 minimum wages13520.0%5-19
More than 2 minimum wages507.4%5-19
Up to ¼ of a minimum wage405.9%5-19
Other / suppressed203.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male11517.2%5-19
Ages 25–39, female10515.7%5-19
Ages 15–24, female10014.9%5-19
Ages 15–24, male9013.4%5-19
Ages 60 and over, male507.5%5-19
Other / suppressed456.7%<5
Ages 5–14, female456.7%5-19
Ages 5–14, male456.7%5-19
Ages 40–59, female406.0%5-19
Ages 40–59, male355.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,87552.6%>=500
Completed high school, incomplete higher education1,27523.3%100-499
Completed elementary, incomplete high school80514.7%100-499
Completed higher education5159.4%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,44538.6%>=500
¼ to ½ minimum wage1,93021.6%100-499
1 to 2 minimum wages1,85020.8%100-499
Up to ¼ of a minimum wage1,09512.3%100-499
More than 2 minimum wages5956.7%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,15014.1%100-499
Ages 40–59, male1,14013.9%100-499
Ages 25–39, male1,02012.5%100-499
Ages 25–39, female1,01512.4%100-499
Ages 5–14, male7058.6%100-499
Ages 5–14, female7008.6%100-499
Ages 15–24, male6658.1%100-499
Ages 15–24, female6357.8%100-499
Ages 60 and over, female5857.2%100-499
Ages 60 and over, male5606.9%50-99

Commuting (work and study)

Commuting indicators for Mauá da Serra/PR
Employed persons (aged 10 and over)3,595
Commute out to work in another municipality165
Commute in from another municipality to work here240
Net commuting+75
Out-commuting rate (%)4.63
Commuting attraction index0.995
Median commuting time60 min

This municipality is part of Região Metropolitana de Apucarana → see the metropolitan region page

Open Mauá da Serra/PR 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]: Mauá da Serra/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/maua-da-serra-pr-4115754/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.