Skip to content
Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Congonhinhas/PR (2017–2022)

Congonhinhas/PR had a reference population (aged 5 or over in 2022) of 7,805 people. In the 2017–2022 five-year period, the municipality received 745 in-migrants and lost 685 out-migrants to other municipalities in Brazil, resulting in a net migration of +60 people (7.78 per 1,000 population) and a migration effectiveness index (IEM) of 0.043. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Congonhinhas/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants745562 to 928good
Out-migrants685478 to 892use with caution
Net migration+60−216 to 336not classified
Net migration rate, TLM (per 1,000 pop.)7.78--
Migration effectiveness index (IEM)0.043--

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 Congonhinhas/PR
OriginPeoplePrecision
Londrina/PR · view pair in the atlas115low precision
Nova Fátima/PR · view pair in the atlas65low precision
Curitiba/PR · view pair in the atlas55low precision
Santo Antônio do Paraíso/PR · view pair in the atlas50low precision
Cornélio Procópio/PR · view pair in the atlas45low precision
Bandeirantes/PR · view pair in the atlas35low precision
Telêmaco Borba/PR · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Congonhinhas/PR
DestinationPeoplePrecision
Nova Fátima/PR · view pair in the atlas70low precision
Cornélio Procópio/PR · view pair in the atlas55low precision
Ribeirão do Pinhal/PR · view pair in the atlas35low precision
Campos Novos Paulista/SP · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth33545.0%50-99
Multi-step migration26535.6%50-99
Return to municipality of birth14519.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17035.8%20-49
Completed high school, incomplete higher education13528.4%20-49
Completed higher education8517.9%5-19
Completed elementary, incomplete high school8517.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage26535.3%50-99
Up to ¼ of a minimum wage19526.0%20-49
1 to 2 minimum wages14018.7%20-49
More than 2 minimum wages8010.7%5-19
¼ to ½ minimum wage709.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13518.1%20-49
Ages 25–39, male9512.8%5-19
Ages 40–59, male9012.1%5-19
Ages 5–14, female8511.4%5-19
Ages 40–59, female709.4%5-19
Ages 5–14, male658.7%5-19
Ages 15–24, male608.1%5-19
Ages 15–24, female608.1%5-19
Ages 60 and over, male557.4%5-19
Ages 60 and over, female304.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth31045.3%50-99
Multi-step migration29543.1%20-49
Return to municipality of birth8011.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary23052.9%20-49
Completed higher education7517.2%5-19
Completed high school, incomplete higher education7517.2%5-19
Completed elementary, incomplete high school5512.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage25537.2%20-49
½ to 1 minimum wage15522.6%20-49
1 to 2 minimum wages13519.7%20-49
More than 2 minimum wages7010.2%5-19
Up to ¼ of a minimum wage405.8%5-19
Other / suppressed304.4%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male13519.7%5-19
Ages 25–39, female10515.3%5-19
Ages 40–59, female8512.4%5-19
Ages 15–24, female8512.4%5-19
Ages 15–24, male7510.9%5-19
Ages 5–14, male558.0%5-19
Ages 40–59, male558.0%5-19
Ages 5–14, female405.8%5-19
Ages 60 and over, male355.1%5-19
Other / suppressed152.2%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,68052.9%>=500
Completed high school, incomplete higher education1,16523.0%100-499
Completed higher education62012.2%100-499
Completed elementary, incomplete high school60011.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,69535.6%>=500
¼ to ½ minimum wage1,63521.6%100-499
1 to 2 minimum wages1,55020.5%100-499
Up to ¼ of a minimum wage1,05514.0%100-499
More than 2 minimum wages6258.3%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,07515.2%100-499
Ages 40–59, male1,02014.5%100-499
Ages 60 and over, male80011.3%100-499
Ages 60 and over, female79011.2%100-499
Ages 25–39, female6959.9%100-499
Ages 25–39, male6859.7%100-499
Ages 5–14, female5107.2%50-99
Ages 5–14, male5107.2%50-99
Ages 15–24, male5107.2%100-499
Ages 15–24, female4556.5%50-99

Commuting (work and study)

Commuting indicators for Congonhinhas/PR
Employed persons (aged 10 and over)3,090
Commute out to work in another municipality210
Commute in from another municipality to work here180
Net commuting−30
Out-commuting rate (%)6.85
Commuting attraction index0.973
Median commuting time40 min

Open Congonhinhas/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]: Congonhinhas/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/congonhinhas-pr-4106001/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.