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

Migration in São Valentim/RS (2017–2022)

São Valentim/RS had a reference population (aged 5 or over in 2022) of 3,110 people. In the 2017–2022 five-year period, the municipality received 285 in-migrants and lost 450 out-migrants to other municipalities in Brazil, resulting in a net migration of −165 people (−53.10 per 1,000 population) and a migration effectiveness index (IEM) of −0.224. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for São Valentim/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants285203 to 367good
Out-migrants450255 to 645use with caution
Net migration−165−376 to 46not classified
Net migration rate, TLM (per 1,000 pop.)−53.10--
Migration effectiveness index (IEM)−0.224--

Sample of in-migrants: 50-99 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 São Valentim/RS
OriginPeoplePrecision
Erechim/RS · view pair in the atlas40low precision
Benjamin Constant do Sul/RS · view pair in the atlas35low precision
Barão de Cotegipe/RS · view pair in the atlas30low precision
Chapecó/SC · view pair in the atlas20low precision
Top 10 destinations of out-migrants from São Valentim/RS
DestinationPeoplePrecision
Chapecó/SC · view pair in the atlas60low precision
Erechim/RS · view pair in the atlas55low precision
Barão de Cotegipe/RS · view pair in the atlas30low precision
Erval Grande/RS · view pair in the atlas20low precision
Cruzaltense/RS · view pair in the atlas15low precision
Ponte Preta/RS · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration13547.4%20-49
First move from municipality of birth11540.4%20-49
Return to municipality of birth3512.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8538.6%20-49
Completed higher education7031.8%5-19
Completed high school, incomplete higher education4018.2%5-19
Completed elementary, incomplete high school2511.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages9533.3%20-49
More than 2 minimum wages7024.6%5-19
Not applicable (collective dwelling)4515.8%5-19
½ to 1 minimum wage4515.8%5-19
Up to ¼ of a minimum wage258.8%5-19
Other / suppressed51.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female5518.6%5-19
Ages 25–39, male4515.3%5-19
Ages 60 and over, male4013.6%5-19
Ages 40–59, female3010.2%5-19
Other / suppressed3010.2%5-19
Ages 40–59, male3010.2%5-19
Ages 60 and over, female258.5%5-19
Ages 15–24, male258.5%5-19
Ages 5–14, male155.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth24553.8%20-49
Multi-step migration18039.6%20-49
Return to municipality of birth306.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary19057.6%20-49
Completed high school, incomplete higher education7021.2%5-19
Completed higher education3510.6%5-19
Completed elementary, incomplete high school3510.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12527.8%20-49
Up to ¼ of a minimum wage11525.6%5-19
More than 2 minimum wages9521.1%5-19
1 to 2 minimum wages8518.9%20-49
¼ to ½ minimum wage255.6%5-19
Other / suppressed51.1%<5
Age and sex
CategoryEstimateShareSample
Ages 60 and over, male7516.7%5-19
Ages 40–59, female6013.3%5-19
Ages 60 and over, female5512.2%5-19
Ages 25–39, male5011.1%5-19
Ages 25–39, female4510.0%5-19
Ages 15–24, female4510.0%5-19
Ages 40–59, male4510.0%5-19
Ages 15–24, male357.8%5-19
Other / suppressed255.6%<5
Ages 5–14, male153.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,32058.8%100-499
Completed high school, incomplete higher education51522.9%100-499
Completed higher education23010.2%50-99
Completed elementary, incomplete high school1808.0%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages1,03034.7%100-499
½ to 1 minimum wage99533.5%100-499
More than 2 minimum wages58519.7%100-499
¼ to ½ minimum wage1755.9%50-99
Up to ¼ of a minimum wage1705.7%50-99
Not applicable (collective dwelling)150.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 60 and over, female50017.8%100-499
Ages 60 and over, male44515.8%100-499
Ages 40–59, male41514.7%100-499
Ages 40–59, female39514.0%100-499
Ages 25–39, male2659.4%50-99
Ages 25–39, female2207.8%50-99
Ages 5–14, male1555.5%50-99
Ages 15–24, female1505.3%20-49
Ages 5–14, female1354.8%20-49
Ages 15–24, male1354.8%20-49

Commuting (work and study)

Commuting indicators for São Valentim/RS
Employed persons (aged 10 and over)1,315
Commute out to work in another municipality175
Commute in from another municipality to work here100
Net commuting−75
Out-commuting rate (%)13.34
Commuting attraction index0.940
Median commuting time40 min

Open São Valentim/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]: São Valentim/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-valentim-rs-4319703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.