Migration in São Valentim do Sul/RS (2017–2022)
São Valentim do Sul/RS had a reference population (aged 5 or over in 2022) of 2,115 people. In the 2017–2022 five-year period, the municipality received 140 in-migrants and lost 125 out-migrants to other municipalities in Brazil, resulting in a net migration of +15 people (5.92 per 1,000 population) and a migration effectiveness index (IEM) of 0.047. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.
Indicators
Migration indicators for São Valentim do Sul/RS, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
|---|
| In-migrants | 140 | 90 to 190 | use with caution |
|---|
| Out-migrants | 125 | 46 to 204 | low precision |
|---|
| Net migration | +15 | −78 to 108 | not classified |
|---|
| Net migration rate, TLM (per 1,000 pop.) | 5.92 | - | - |
|---|
| Migration effectiveness index (IEM) | 0.047 | - | - |
|---|
Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.
Top origins and destinations
Profile of migrants and residents
In-migrants (arrivals)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| Multi-step migration | 75 | 53.6% | 20-49 |
|---|
| First move from municipality of birth | 60 | 42.9% | 20-49 |
|---|
| Other / suppressed | 5 | 3.6% | <5 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| Completed high school, incomplete higher education | 40 | 38.1% | 20-49 |
|---|
| No schooling or incomplete elementary | 25 | 23.8% | 5-19 |
|---|
| Completed higher education | 20 | 19.0% | 5-19 |
|---|
| Completed elementary, incomplete high school | 20 | 19.0% | 5-19 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| 1 to 2 minimum wages | 65 | 44.8% | 20-49 |
|---|
| ½ to 1 minimum wage | 40 | 27.6% | 20-49 |
|---|
| More than 2 minimum wages | 25 | 17.2% | 5-19 |
|---|
| ¼ to ½ minimum wage | 15 | 10.3% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 25–39, female | 35 | 25.0% | 5-19 |
|---|
| Ages 25–39, male | 30 | 21.4% | 5-19 |
|---|
| Other / suppressed | 20 | 14.3% | 5-19 |
|---|
| Ages 40–59, female | 15 | 10.7% | 5-19 |
|---|
| Ages 5–14, male | 15 | 10.7% | 5-19 |
|---|
| Ages 5–14, female | 15 | 10.7% | 5-19 |
|---|
| Ages 40–59, male | 10 | 7.1% | 5-19 |
|---|
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| Multi-step migration | 75 | 60.0% | 5-19 |
|---|
| Other / suppressed | 50 | 40.0% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 65 | 76.5% | 5-19 |
|---|
| Other / suppressed | 20 | 23.5% | 5-19 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ½ to 1 minimum wage | 50 | 38.5% | 5-19 |
|---|
| More than 2 minimum wages | 35 | 26.9% | 5-19 |
|---|
| 1 to 2 minimum wages | 30 | 23.1% | 5-19 |
|---|
| Other / suppressed | 15 | 11.5% | <5 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 125 | 100.0% | 20-49 |
|---|
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 845 | 53.3% | 100-499 |
|---|
| Completed high school, incomplete higher education | 360 | 22.7% | 100-499 |
|---|
| Completed elementary, incomplete high school | 215 | 13.6% | 100-499 |
|---|
| Completed higher education | 165 | 10.4% | 50-99 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ½ to 1 minimum wage | 850 | 41.3% | 100-499 |
|---|
| 1 to 2 minimum wages | 700 | 34.0% | 100-499 |
|---|
| More than 2 minimum wages | 295 | 14.3% | 100-499 |
|---|
| ¼ to ½ minimum wage | 165 | 8.0% | 50-99 |
|---|
| Up to ¼ of a minimum wage | 50 | 2.4% | 20-49 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 60 and over, female | 360 | 18.3% | 100-499 |
|---|
| Ages 60 and over, male | 325 | 16.5% | 100-499 |
|---|
| Ages 40–59, male | 315 | 16.0% | 100-499 |
|---|
| Ages 40–59, female | 275 | 14.0% | 100-499 |
|---|
| Ages 25–39, male | 160 | 8.1% | 50-99 |
|---|
| Ages 25–39, female | 155 | 7.9% | 50-99 |
|---|
| Ages 15–24, male | 115 | 5.8% | 50-99 |
|---|
| Ages 5–14, female | 95 | 4.8% | 20-49 |
|---|
| Ages 15–24, female | 85 | 4.3% | 20-49 |
|---|
| Ages 5–14, male | 85 | 4.3% | 20-49 |
|---|
Commuting (work and study)
Commuting indicators for São Valentim do Sul/RS
| Employed persons (aged 10 and over) | 955 |
|---|
| Commute out to work in another municipality | 65 |
|---|
| Commute in from another municipality to work here | 65 |
|---|
| Net commuting | 0 |
|---|
| Out-commuting rate (%) | 6.78 |
|---|
| Commuting attraction index | 0.963 |
|---|
| Median commuting time | 60 min |
|---|
Open São Valentim do Sul/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 do Sul/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-do-sul-rs-4319711/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.