Migration in Salvador do Sul/RS (2017–2022)
Salvador do Sul/RS had a reference population (aged 5 or over in 2022) of 6,500 people. In the 2017–2022 five-year period, the municipality received 845 in-migrants and lost 655 out-migrants to other municipalities in Brazil, resulting in a net migration of +190 people (29.29 per 1,000 population) and a migration effectiveness index (IEM) of 0.127. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 10 came from abroad.
Indicators
Migration indicators for Salvador do Sul/RS, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 845 | 687 to 1,003 | good |
| Out-migrants | 655 | 475 to 835 | good |
| Net migration | +190 | −49 to 429 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | 29.29 | - | - |
| Migration effectiveness index (IEM) | 0.127 | - | - |
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
Profile of migrants and residents
In-migrants (arrivals)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 395 | 46.7% | 100-499 |
| Multi-step migration | 340 | 40.2% | 100-499 |
| Return to municipality of birth | 110 | 13.0% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 235 | 44.3% | 50-99 |
| No schooling or incomplete elementary | 115 | 21.7% | 20-49 |
| Completed higher education | 95 | 17.9% | 20-49 |
| Completed elementary, incomplete high school | 85 | 16.0% | 20-49 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 405 | 47.6% | 100-499 |
| ½ to 1 minimum wage | 225 | 26.5% | 50-99 |
| More than 2 minimum wages | 160 | 18.8% | 50-99 |
| ¼ to ½ minimum wage | 50 | 5.9% | 5-19 |
| Other / suppressed | 10 | 1.2% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 165 | 19.6% | 50-99 |
| Ages 25–39, male | 145 | 17.3% | 20-49 |
| Ages 15–24, male | 100 | 11.9% | 20-49 |
| Ages 40–59, male | 90 | 10.7% | 20-49 |
| Ages 15–24, female | 90 | 10.7% | 20-49 |
| Ages 5–14, male | 80 | 9.5% | 20-49 |
| Ages 40–59, female | 65 | 7.7% | 20-49 |
| Ages 5–14, female | 45 | 5.4% | 5-19 |
| Ages 60 and over, female | 35 | 4.2% | 5-19 |
| Ages 60 and over, male | 25 | 3.0% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| Multi-step migration | 370 | 56.5% | 50-99 |
| First move from municipality of birth | 180 | 27.5% | 20-49 |
| Return to municipality of birth | 105 | 16.0% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 160 | 36.8% | 20-49 |
| Completed high school, incomplete higher education | 160 | 36.8% | 20-49 |
| Completed higher education | 60 | 13.8% | 5-19 |
| Completed elementary, incomplete high school | 55 | 12.6% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 240 | 36.6% | 20-49 |
| 1 to 2 minimum wages | 215 | 32.8% | 50-99 |
| More than 2 minimum wages | 145 | 22.1% | 20-49 |
| ¼ to ½ minimum wage | 25 | 3.8% | 5-19 |
| Up to ¼ of a minimum wage | 25 | 3.8% | 5-19 |
| Other / suppressed | 5 | 0.8% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 125 | 19.1% | 20-49 |
| Ages 40–59, male | 85 | 13.0% | 5-19 |
| Ages 40–59, female | 85 | 13.0% | 5-19 |
| Ages 25–39, male | 85 | 13.0% | 20-49 |
| Ages 15–24, male | 70 | 10.7% | 5-19 |
| Ages 5–14, female | 65 | 9.9% | 5-19 |
| Ages 15–24, female | 55 | 8.4% | 5-19 |
| Ages 5–14, male | 30 | 4.6% | 5-19 |
| Ages 60 and over, female | 30 | 4.6% | 5-19 |
| Ages 60 and over, male | 25 | 3.8% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 2,110 | 48.6% | >=500 |
| Completed high school, incomplete higher education | 1,150 | 26.5% | 100-499 |
| Completed elementary, incomplete high school | 610 | 14.0% | 100-499 |
| Completed higher education | 475 | 10.9% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 2,915 | 48.4% | >=500 |
| ½ to 1 minimum wage | 1,425 | 23.7% | 100-499 |
| More than 2 minimum wages | 1,310 | 21.7% | 100-499 |
| ¼ to ½ minimum wage | 230 | 3.8% | 50-99 |
| Up to ¼ of a minimum wage | 135 | 2.2% | 20-49 |
| Other / suppressed | 10 | 0.2% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 895 | 15.9% | 100-499 |
| Ages 40–59, male | 860 | 15.2% | 100-499 |
| Ages 60 and over, female | 705 | 12.5% | 100-499 |
| Ages 25–39, male | 645 | 11.4% | 100-499 |
| Ages 25–39, female | 625 | 11.1% | 100-499 |
| Ages 60 and over, male | 615 | 10.9% | 100-499 |
| Ages 15–24, male | 365 | 6.5% | 100-499 |
| Ages 15–24, female | 345 | 6.1% | 100-499 |
| Ages 5–14, female | 305 | 5.4% | 100-499 |
| Ages 5–14, male | 285 | 5.0% | 50-99 |
Commuting (work and study)
Commuting indicators for Salvador do Sul/RS
| Employed persons (aged 10 and over) | 3,855 |
| Commute out to work in another municipality | 900 |
| Commute in from another municipality to work here | 540 |
| Net commuting | −355 |
| Out-commuting rate (%) | 23.30 |
| Commuting attraction index | 0.867 |
| Median commuting time | 40 min |
Open Salvador 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]: Salvador 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/salvador-do-sul-rs-4316501/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.