Migration in Santa Cecília do Sul/RS (2017–2022)
Santa Cecília do Sul/RS had a reference population (aged 5 or over in 2022) of 1,570 people. In the 2017–2022 five-year period, the municipality received 105 in-migrants and lost 75 out-migrants to other municipalities in Brazil, resulting in a net migration of +35 people (21.48 per 1,000 population) and a migration effectiveness index (IEM) of 0.188. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.
Indicators
Migration indicators for Santa Cecília do Sul/RS, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
|---|
| In-migrants | 105 | 63 to 147 | use with caution |
|---|
| Out-migrants | 75 | 27 to 123 | low precision |
|---|
| Net migration | +35 | −29 to 99 | not classified |
|---|
| Net migration rate, TLM (per 1,000 pop.) | 21.48 | - | - |
|---|
| Migration effectiveness index (IEM) | 0.188 | - | - |
|---|
Sample of in-migrants: 50-99 observations. Sample of out-migrants: 5-19 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.
Top origins and destinations
Top 10 destinations of out-migrants from Santa Cecília do Sul/RS
| Destination | People | Precision |
|---|
| No outflows published individually (below the disclosure threshold). |
Profile of migrants and residents
In-migrants (arrivals)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| Multi-step migration | 50 | 47.6% | 20-49 |
|---|
| First move from municipality of birth | 45 | 42.9% | 20-49 |
|---|
| Other / suppressed | 10 | 9.5% | <5 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| Completed high school, incomplete higher education | 25 | 41.7% | 5-19 |
|---|
| No schooling or incomplete elementary | 25 | 41.7% | 5-19 |
|---|
| Completed elementary, incomplete high school | 10 | 16.7% | 5-19 |
|---|
| Other / suppressed | 0 | 0.0% | <5 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| 1 to 2 minimum wages | 45 | 40.9% | 20-49 |
|---|
| ¼ to ½ minimum wage | 30 | 27.3% | 5-19 |
|---|
| Other / suppressed | 20 | 18.2% | 5-19 |
|---|
| ½ to 1 minimum wage | 15 | 13.6% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 25 | 22.7% | 5-19 |
|---|
| Ages 15–24, female | 25 | 22.7% | 5-19 |
|---|
| Ages 25–39, female | 20 | 18.2% | 5-19 |
|---|
| Ages 40–59, female | 15 | 13.6% | 5-19 |
|---|
| Ages 25–39, male | 15 | 13.6% | 5-19 |
|---|
| Ages 40–59, male | 10 | 9.1% | 5-19 |
|---|
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| Multi-step migration | 45 | 60.0% | 5-19 |
|---|
| Other / suppressed | 30 | 40.0% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 25 | 62.5% | 5-19 |
|---|
| No schooling or incomplete elementary | 15 | 37.5% | 5-19 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 65 | 86.7% | 5-19 |
|---|
| ½ to 1 minimum wage | 10 | 13.3% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 75 | 100.0% | 5-19 |
|---|
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 700 | 63.9% | 100-499 |
|---|
| Completed high school, incomplete higher education | 215 | 19.6% | 100-499 |
|---|
| Completed elementary, incomplete high school | 115 | 10.5% | 50-99 |
|---|
| Completed higher education | 65 | 5.9% | 20-49 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| 1 to 2 minimum wages | 515 | 33.0% | 100-499 |
|---|
| ½ to 1 minimum wage | 500 | 32.1% | 100-499 |
|---|
| More than 2 minimum wages | 360 | 23.1% | 100-499 |
|---|
| ¼ to ½ minimum wage | 155 | 9.9% | 50-99 |
|---|
| Up to ¼ of a minimum wage | 30 | 1.9% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 40–59, male | 220 | 15.2% | 100-499 |
|---|
| Ages 60 and over, female | 215 | 14.8% | 100-499 |
|---|
| Ages 40–59, female | 210 | 14.5% | 100-499 |
|---|
| Ages 60 and over, male | 200 | 13.8% | 50-99 |
|---|
| Ages 25–39, male | 145 | 10.0% | 50-99 |
|---|
| Ages 25–39, female | 110 | 7.6% | 50-99 |
|---|
| Ages 15–24, male | 90 | 6.2% | 20-49 |
|---|
| Ages 5–14, male | 90 | 6.2% | 50-99 |
|---|
| Ages 15–24, female | 85 | 5.9% | 20-49 |
|---|
| Ages 5–14, female | 85 | 5.9% | 20-49 |
|---|
Commuting (work and study)
Commuting indicators for Santa Cecília do Sul/RS
| Employed persons (aged 10 and over) | 755 |
|---|
| Commute out to work in another municipality | 90 |
|---|
| Commute in from another municipality to work here | 65 |
|---|
| Net commuting | −20 |
|---|
| Out-commuting rate (%) | 11.59 |
|---|
| Commuting attraction index | 0.967 |
|---|
| Median commuting time | 30 min |
|---|
Open Santa Cecília 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]: Santa Cecília 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/santa-cecilia-do-sul-rs-4316733/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.