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

Migration in Maripá/PR (2017–2022)

Maripá/PR had a reference population (aged 5 or over in 2022) of 6,200 people. In the 2017–2022 five-year period, the municipality received 500 in-migrants and lost 425 out-migrants to other municipalities in Brazil, resulting in a net migration of +70 people (11.59 per 1,000 population) and a migration effectiveness index (IEM) of 0.078. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 105 came from abroad.

Indicators

Migration indicators for Maripá/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants500375 to 625good
Out-migrants425268 to 582use with caution
Net migration+70−131 to 271not classified
Net migration rate, TLM (per 1,000 pop.)11.59--
Migration effectiveness index (IEM)0.078--

Sample of in-migrants: 100-499 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 Maripá/PR
OriginPeoplePrecision
Palotina/PR · view pair in the atlas85low precision
Nova Santa Rosa/PR · view pair in the atlas35low precision
Toledo/PR · view pair in the atlas35low precision
Curitiba/PR · view pair in the atlas20low precision
Itaquiraí/MS · view pair in the atlas20low precision
Assis Chateaubriand/PR · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Maripá/PR
DestinationPeoplePrecision
Toledo/PR · view pair in the atlas75low precision
Nova Santa Rosa/PR · view pair in the atlas45low precision
Tupãssi/PR · view pair in the atlas40low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration29058.6%50-99
First move from municipality of birth18036.4%50-99
Return to municipality of birth153.0%5-19
Other / suppressed102.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10533.3%20-49
Completed elementary, incomplete high school8527.0%20-49
Completed high school, incomplete higher education6520.6%20-49
Completed higher education6019.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage19038.0%50-99
1 to 2 minimum wages15030.0%20-49
¼ to ½ minimum wage8517.0%20-49
More than 2 minimum wages7515.0%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, male9018.0%20-49
Ages 25–39, female8016.0%20-49
Ages 15–24, male5511.0%5-19
Ages 40–59, female5010.0%5-19
Ages 5–14, male5010.0%5-19
Ages 40–59, male459.0%5-19
Ages 15–24, female459.0%5-19
Ages 5–14, female408.0%5-19
Ages 60 and over, female255.0%5-19
Ages 60 and over, male204.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration26060.5%20-49
First move from municipality of birth11526.7%5-19
Born abroad, internal migrant307.0%5-19
Return to municipality of birth255.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education11031.4%5-19
No schooling or incomplete elementary10028.6%5-19
Completed high school, incomplete higher education9527.1%5-19
Completed elementary, incomplete high school4512.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages12529.4%5-19
½ to 1 minimum wage12529.4%20-49
1 to 2 minimum wages8018.8%5-19
Up to ¼ of a minimum wage5011.8%5-19
¼ to ½ minimum wage4510.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 60 and over, female7517.9%5-19
Ages 40–59, female6515.5%5-19
Ages 25–39, male6014.3%5-19
Ages 40–59, male5513.1%5-19
Ages 25–39, female5513.1%5-19
Ages 15–24, female358.3%5-19
Ages 60 and over, male358.3%5-19
Ages 15–24, male256.0%5-19
Other / suppressed153.6%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,91546.4%>=500
Completed high school, incomplete higher education1,32032.0%100-499
Completed higher education51012.3%100-499
Completed elementary, incomplete high school3859.3%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,09535.2%>=500
1 to 2 minimum wages2,05034.5%>=500
More than 2 minimum wages95516.1%100-499
¼ to ½ minimum wage71512.0%100-499
Up to ¼ of a minimum wage1302.2%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male88015.7%100-499
Ages 40–59, female85015.2%100-499
Ages 60 and over, female64011.4%100-499
Ages 25–39, female60010.7%100-499
Ages 25–39, male59510.6%100-499
Ages 60 and over, male56510.1%100-499
Ages 5–14, male4407.9%100-499
Ages 5–14, female4007.2%100-499
Ages 15–24, male3155.6%100-499
Ages 15–24, female3055.5%50-99

Commuting (work and study)

Commuting indicators for Maripá/PR
Employed persons (aged 10 and over)3,130
Commute out to work in another municipality125
Commute in from another municipality to work here180
Net commuting+55
Out-commuting rate (%)4.07
Commuting attraction index0.999
Median commuting time30 min

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

Open Maripá/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]: Maripá/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/maripa-pr-4115358/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.