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

Migration in Pinhal da Serra/RS (2017–2022)

Pinhal da Serra/RS had a reference population (aged 5 or over in 2022) of 2,130 people. In the 2017–2022 five-year period, the municipality received 310 in-migrants and lost 155 out-migrants to other municipalities in Brazil, resulting in a net migration of +155 people (73.01 per 1,000 population) and a migration effectiveness index (IEM) of 0.338. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Pinhal da Serra/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants310247 to 373good
Out-migrants15589 to 221use with caution
Net migration+15564 to 246not classified
Net migration rate, TLM (per 1,000 pop.)73.01--
Migration effectiveness index (IEM)0.338--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Pinhal da Serra/RS
OriginPeoplePrecision
Caxias do Sul/RS · view pair in the atlas95use with caution
Esmeralda/RS · view pair in the atlas30use with caution
Vacaria/RS · view pair in the atlas30low precision
Anita Garibaldi/SC · view pair in the atlas25low precision
Porto Alegre/RS · view pair in the atlas20low precision
Lagoa Vermelha/RS · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Pinhal da Serra/RS
DestinationPeoplePrecision
Esmeralda/RS · view pair in the atlas45low precision
Anita Garibaldi/SC · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration12541.0%50-99
First move from municipality of birth10534.4%50-99
Return to municipality of birth7524.6%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7534.1%20-49
Completed high school, incomplete higher education7031.8%20-49
Completed elementary, incomplete high school4018.2%20-49
Completed higher education3515.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12541.7%50-99
1 to 2 minimum wages9531.7%20-49
¼ to ½ minimum wage3010.0%5-19
More than 2 minimum wages3010.0%5-19
Up to ¼ of a minimum wage206.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female4514.8%20-49
Ages 25–39, female4013.1%20-49
Ages 25–39, male4013.1%20-49
Ages 40–59, male4013.1%5-19
Ages 60 and over, female309.8%5-19
Ages 15–24, female309.8%5-19
Ages 5–14, male258.2%5-19
Ages 60 and over, male258.2%5-19
Ages 5–14, female206.6%5-19
Ages 15–24, male103.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration8554.8%5-19
Return to municipality of birth4025.8%5-19
First move from municipality of birth3019.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Other / suppressed3046.2%5-19
No schooling or incomplete elementary2030.8%5-19
Completed high school, incomplete higher education1523.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage6040.0%5-19
1 to 2 minimum wages3523.3%5-19
Other / suppressed3020.0%5-19
½ to 1 minimum wage2516.7%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed8554.8%20-49
Ages 15–24, female4529.0%5-19
Ages 25–39, female2516.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary75053.6%100-499
Completed high school, incomplete higher education30021.4%100-499
Completed higher education18012.9%50-99
Completed elementary, incomplete high school17012.1%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage74538.5%100-499
1 to 2 minimum wages58530.2%100-499
¼ to ½ minimum wage30515.8%100-499
More than 2 minimum wages1608.3%50-99
Up to ¼ of a minimum wage1407.2%50-99
Age and sex
CategoryEstimateShareSample
Ages 60 and over, male27014.8%100-499
Ages 60 and over, female26014.2%100-499
Ages 40–59, male25514.0%100-499
Ages 40–59, female25013.7%100-499
Ages 25–39, male20011.0%50-99
Ages 25–39, female1709.3%50-99
Ages 15–24, male1206.6%50-99
Ages 5–14, male1106.0%50-99
Ages 5–14, female1055.8%50-99
Ages 15–24, female854.7%20-49

Commuting (work and study)

Commuting indicators for Pinhal da Serra/RS
Employed persons (aged 10 and over)720
Commute out to work in another municipality45
Commute in from another municipality to work here65
Net commuting+15
Out-commuting rate (%)6.44
Commuting attraction index0.992
Median commuting time60 min

Open Pinhal da Serra/RS 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]: Pinhal da Serra/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pinhal-da-serra-rs-4314464/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.