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

Migration in Barra do Turvo/SP (2017–2022)

Barra do Turvo/SP had a reference population (aged 5 or over in 2022) of 6,410 people. In the 2017–2022 five-year period, the municipality received 725 in-migrants and lost 480 out-migrants to other municipalities in Brazil, resulting in a net migration of +245 people (38.17 per 1,000 population) and a migration effectiveness index (IEM) of 0.202. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Barra do Turvo/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants725588 to 862good
Out-migrants480320 to 640use with caution
Net migration+24534 to 456not classified
Net migration rate, TLM (per 1,000 pop.)38.17--
Migration effectiveness index (IEM)0.202--

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 Barra do Turvo/SP
OriginPeoplePrecision
Curitiba/PR · view pair in the atlas130use with caution
São Paulo/SP · view pair in the atlas60low precision
Cajati/SP · view pair in the atlas35low precision
Iporanga/SP · view pair in the atlas25low precision
Campo Largo/PR · view pair in the atlas25low precision
Colombo/PR · view pair in the atlas25low precision
Apiaí/SP · view pair in the atlas25low precision
Eldorado/SP · view pair in the atlas25low precision
Registro/SP · view pair in the atlas20low precision
Campina Grande do Sul/PR · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Barra do Turvo/SP
DestinationPeoplePrecision
Campina Grande do Sul/PR · view pair in the atlas80low precision
Iporanga/SP · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration41556.8%100-499
First move from municipality of birth21529.5%50-99
Return to municipality of birth10013.7%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17537.6%50-99
Completed high school, incomplete higher education17537.6%50-99
Completed elementary, incomplete high school6012.9%20-49
Completed higher education5511.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21529.7%50-99
1 to 2 minimum wages16522.8%50-99
¼ to ½ minimum wage14019.3%50-99
Up to ¼ of a minimum wage10514.5%20-49
More than 2 minimum wages10013.8%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male10514.6%20-49
Ages 5–14, female10013.9%20-49
Ages 25–39, female10013.9%20-49
Ages 40–59, female9513.2%20-49
Ages 25–39, male9012.5%20-49
Ages 5–14, male709.7%20-49
Ages 15–24, male506.9%5-19
Ages 60 and over, female405.6%5-19
Ages 15–24, female405.6%5-19
Ages 60 and over, male304.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration28559.4%20-49
First move from municipality of birth12526.0%5-19
Return to municipality of birth7014.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary12555.6%5-19
Completed high school, incomplete higher education5022.2%5-19
Completed elementary, incomplete high school3515.6%5-19
Other / suppressed156.7%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages19540.6%20-49
½ to 1 minimum wage12025.0%20-49
¼ to ½ minimum wage7515.6%5-19
Up to ¼ of a minimum wage459.4%5-19
More than 2 minimum wages459.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female12025.0%5-19
Ages 15–24, male10521.9%5-19
Ages 25–39, male6012.5%5-19
Other / suppressed6012.5%5-19
Ages 40–59, female5010.4%5-19
Ages 25–39, female357.3%5-19
Ages 5–14, male255.2%5-19
Ages 60 and over, female255.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,28057.4%>=500
Completed high school, incomplete higher education90522.8%100-499
Completed elementary, incomplete high school52013.1%100-499
Completed higher education2706.8%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,11534.4%>=500
¼ to ½ minimum wage1,71027.9%>=500
1 to 2 minimum wages1,17519.1%100-499
Up to ¼ of a minimum wage70011.4%100-499
More than 2 minimum wages4357.1%100-499
Other / suppressed50.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male80014.1%100-499
Ages 40–59, female80014.1%100-499
Ages 60 and over, male68012.0%100-499
Ages 60 and over, female63511.2%100-499
Ages 25–39, female5559.8%100-499
Ages 25–39, male5058.9%100-499
Ages 15–24, male4808.5%100-499
Ages 5–14, male4407.7%100-499
Ages 15–24, female3957.0%100-499
Ages 5–14, female3906.9%100-499

Commuting (work and study)

Commuting indicators for Barra do Turvo/SP
Employed persons (aged 10 and over)2,670
Commute out to work in another municipality90
Commute in from another municipality to work here85
Net commuting0
Out-commuting rate (%)3.29
Commuting attraction index0.985
Median commuting time120 min

Open Barra do Turvo/SP 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]: Barra do Turvo/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/barra-do-turvo-sp-3505401/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.