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

Migration in Mariluz/PR (2017–2022)

Mariluz/PR had a reference population (aged 5 or over in 2022) of 9,195 people. In the 2017–2022 five-year period, the municipality received 510 in-migrants and lost 1,095 out-migrants to other municipalities in Brazil, resulting in a net migration of −590 people (−63.94 per 1,000 population) and a migration effectiveness index (IEM) of −0.367. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Mariluz/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants510374 to 646good
Out-migrants1,095795 to 1,395good
Net migration−590−919 to −261not classified
Net migration rate, TLM (per 1,000 pop.)−63.94--
Migration effectiveness index (IEM)−0.367--

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 Mariluz/PR
OriginPeoplePrecision
Umuarama/PR · view pair in the atlas45low precision
Moreira Sales/PR · view pair in the atlas35low precision
Curitiba/PR · view pair in the atlas25low precision
Goioerê/PR · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Mariluz/PR
DestinationPeoplePrecision
Umuarama/PR · view pair in the atlas405use with caution
Cruzeiro do Oeste/PR · view pair in the atlas100low precision
Moreira Sales/PR · view pair in the atlas50low precision
Cascavel/PR · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration28556.4%50-99
First move from municipality of birth12524.8%20-49
Return to municipality of birth9518.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17547.9%20-49
Completed high school, incomplete higher education12534.2%20-49
Completed elementary, incomplete high school359.6%5-19
Completed higher education308.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage20540.2%20-49
1 to 2 minimum wages13526.5%20-49
¼ to ½ minimum wage11522.5%20-49
More than 2 minimum wages458.8%5-19
Other / suppressed102.0%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male9018.0%5-19
Ages 25–39, female7515.0%5-19
Ages 25–39, male7014.0%5-19
Ages 5–14, male6012.0%5-19
Ages 40–59, female5511.0%5-19
Ages 60 and over, female408.0%5-19
Ages 15–24, female408.0%5-19
Ages 60 and over, male306.0%5-19
Ages 15–24, male306.0%5-19
Other / suppressed102.0%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth59554.6%50-99
Multi-step migration39536.2%50-99
Return to municipality of birth1009.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education28038.6%20-49
No schooling or incomplete elementary27037.2%20-49
Completed elementary, incomplete high school9513.1%5-19
Completed higher education8011.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage31028.3%20-49
1 to 2 minimum wages30527.9%20-49
More than 2 minimum wages19517.8%20-49
¼ to ½ minimum wage16515.1%5-19
Up to ¼ of a minimum wage11010.0%5-19
Other / suppressed100.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male23021.0%20-49
Ages 25–39, female18516.9%20-49
Ages 15–24, female12011.0%5-19
Ages 40–59, female11010.0%5-19
Ages 15–24, male11010.0%5-19
Ages 40–59, male1009.1%5-19
Ages 5–14, male807.3%5-19
Ages 5–14, female655.9%5-19
Ages 60 and over, male605.5%5-19
Other / suppressed353.2%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,21052.3%>=500
Completed high school, incomplete higher education1,33021.7%100-499
Completed elementary, incomplete high school91514.9%100-499
Completed higher education68011.1%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,66539.3%>=500
1 to 2 minimum wages2,39525.7%100-499
¼ to ½ minimum wage1,94520.9%100-499
More than 2 minimum wages7908.5%100-499
Up to ¼ of a minimum wage5255.6%100-499
Other / suppressed50.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,27514.7%100-499
Ages 40–59, male1,27014.6%100-499
Ages 25–39, male1,02011.8%100-499
Ages 25–39, female95511.0%100-499
Ages 60 and over, female8359.6%100-499
Ages 60 and over, male7758.9%100-499
Ages 5–14, male6958.0%100-499
Ages 15–24, male6507.5%100-499
Ages 5–14, female6207.2%100-499
Ages 15–24, female5756.6%100-499

Commuting (work and study)

Commuting indicators for Mariluz/PR
Employed persons (aged 10 and over)4,415
Commute out to work in another municipality1,160
Commute in from another municipality to work here110
Net commuting−1,050
Out-commuting rate (%)26.29
Commuting attraction index0.737
Median commuting time50 min

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

Open Mariluz/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]: Mariluz/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mariluz-pr-4115101/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.