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

Migration in Turvo/PR (2017–2022)

Turvo/PR had a reference population (aged 5 or over in 2022) of 13,230 people. In the 2017–2022 five-year period, the municipality received 810 in-migrants and lost 845 out-migrants to other municipalities in Brazil, resulting in a net migration of −30 people (−2.42 per 1,000 population) and a migration effectiveness index (IEM) of −0.019. This classifies the municipality, for the period, as one of migratory depletion. In addition, 35 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Turvo/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants810615 to 1,005good
Out-migrants845576 to 1,114use with caution
Net migration−30−362 to 302not classified
Net migration rate, TLM (per 1,000 pop.)−2.42--
Migration effectiveness index (IEM)−0.019--

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 Turvo/PR
OriginPeoplePrecision
Guarapuava/PR · view pair in the atlas140use with caution
Boa Ventura de São Roque/PR · view pair in the atlas70low precision
Curitiba/PR · view pair in the atlas65low precision
Pitanga/PR · view pair in the atlas45low precision
Inácio Martins/PR · view pair in the atlas45low precision
Prudentópolis/PR · view pair in the atlas35low precision
Nova Laranjeiras/PR · view pair in the atlas10low precision
Top 10 destinations of out-migrants from Turvo/PR
DestinationPeoplePrecision
Guarapuava/PR · view pair in the atlas215low precision
Santa Maria do Oeste/PR · view pair in the atlas30low precision
Nova Laranjeiras/PR · view pair in the atlas25low precision
Campina do Simão/PR · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth34542.6%50-99
Multi-step migration31538.9%50-99
Return to municipality of birth12515.4%20-49
Other / suppressed253.1%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21040.0%50-99
Completed high school, incomplete higher education16531.4%20-49
Completed elementary, incomplete high school8516.2%5-19
Completed higher education6512.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage31539.1%50-99
¼ to ½ minimum wage17021.1%20-49
1 to 2 minimum wages14518.0%20-49
Up to ¼ of a minimum wage9011.2%20-49
More than 2 minimum wages8510.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female16520.4%20-49
Ages 25–39, male12014.8%20-49
Ages 40–59, male11514.2%20-49
Ages 15–24, male809.9%5-19
Ages 5–14, female809.9%5-19
Ages 40–59, female708.6%5-19
Ages 5–14, male658.0%20-49
Ages 15–24, female556.8%5-19
Ages 60 and over, male404.9%5-19
Ages 60 and over, female202.5%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration40547.9%50-99
First move from municipality of birth36543.2%50-99
Return to municipality of birth758.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18535.2%20-49
Completed higher education13024.8%5-19
Completed high school, incomplete higher education11021.0%20-49
Completed elementary, incomplete high school10019.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage26531.2%20-49
1 to 2 minimum wages23527.6%20-49
¼ to ½ minimum wage15518.2%20-49
More than 2 minimum wages12014.1%5-19
Up to ¼ of a minimum wage607.1%5-19
Other / suppressed151.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female17020.1%20-49
Ages 15–24, female12514.8%5-19
Ages 25–39, male12014.2%20-49
Ages 40–59, male9511.2%5-19
Ages 5–14, male8510.1%5-19
Ages 40–59, female758.9%5-19
Ages 5–14, female708.3%5-19
Ages 15–24, male354.1%5-19
Ages 60 and over, female354.1%5-19
Ages 60 and over, male354.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,71555.0%>=500
Completed high school, incomplete higher education1,90522.2%100-499
Completed elementary, incomplete high school1,07512.6%100-499
Completed higher education87010.2%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,79535.8%>=500
1 to 2 minimum wages3,47025.9%>=500
¼ to ½ minimum wage2,87021.4%>=500
More than 2 minimum wages1,36510.2%100-499
Up to ¼ of a minimum wage8806.6%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,70513.8%100-499
Ages 40–59, female1,69013.6%100-499
Ages 25–39, male1,53012.3%100-499
Ages 25–39, female1,49512.1%100-499
Ages 60 and over, female1,0908.8%100-499
Ages 60 and over, male1,0608.6%100-499
Ages 5–14, male9757.9%100-499
Ages 15–24, male9707.8%100-499
Ages 15–24, female9407.6%100-499
Ages 5–14, female9357.5%100-499

Commuting (work and study)

Commuting indicators for Turvo/PR
Employed persons (aged 10 and over)6,325
Commute out to work in another municipality370
Commute in from another municipality to work here360
Net commuting−10
Out-commuting rate (%)5.89
Commuting attraction index0.973
Median commuting time40 min

Open Turvo/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]: Turvo/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/turvo-pr-4127965/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.