Migration in Turvo/SC (2017–2022)
Turvo/SC had a reference population (aged 5 or over in 2022) of 12,295 people. In the 2017–2022 five-year period, the municipality received 890 in-migrants and lost 935 out-migrants to other municipalities in Brazil, resulting in a net migration of −45 people (−3.82 per 1,000 population) and a migration effectiveness index (IEM) of −0.026. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 15 came from abroad.
Indicators
Migration indicators for Turvo/SC, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 890 | 709 to 1,071 | good |
| Out-migrants | 935 | 714 to 1,156 | good |
| Net migration | −45 | −331 to 241 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −3.82 | - | - |
| Migration effectiveness index (IEM) | −0.026 | - | - |
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 |
| Multi-step migration | 390 | 43.8% | 50-99 |
| First move from municipality of birth | 350 | 39.3% | 50-99 |
| Return to municipality of birth | 145 | 16.3% | 20-49 |
| Other / suppressed | 5 | 0.6% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 210 | 33.3% | 20-49 |
| Completed high school, incomplete higher education | 180 | 28.6% | 20-49 |
| Completed higher education | 130 | 20.6% | 20-49 |
| Completed elementary, incomplete high school | 110 | 17.5% | 20-49 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 275 | 30.7% | 50-99 |
| 1 to 2 minimum wages | 245 | 27.4% | 20-49 |
| More than 2 minimum wages | 240 | 26.8% | 20-49 |
| ¼ to ½ minimum wage | 100 | 11.2% | 20-49 |
| Other / suppressed | 35 | 3.9% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, male | 175 | 19.9% | 20-49 |
| Ages 40–59, female | 140 | 15.9% | 20-49 |
| Ages 25–39, female | 135 | 15.3% | 20-49 |
| Ages 15–24, female | 100 | 11.4% | 20-49 |
| Ages 40–59, male | 100 | 11.4% | 20-49 |
| Ages 15–24, male | 65 | 7.4% | 5-19 |
| Ages 5–14, male | 55 | 6.2% | 5-19 |
| Ages 5–14, female | 40 | 4.5% | 5-19 |
| Ages 60 and over, male | 35 | 4.0% | 5-19 |
| Ages 60 and over, female | 35 | 4.0% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 460 | 48.9% | 50-99 |
| Multi-step migration | 335 | 35.6% | 50-99 |
| Return to municipality of birth | 145 | 15.4% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 205 | 35.3% | 20-49 |
| Completed higher education | 150 | 25.9% | 20-49 |
| No schooling or incomplete elementary | 120 | 20.7% | 20-49 |
| Completed elementary, incomplete high school | 105 | 18.1% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 345 | 36.7% | 50-99 |
| More than 2 minimum wages | 285 | 30.3% | 20-49 |
| ½ to 1 minimum wage | 205 | 21.8% | 20-49 |
| Other / suppressed | 55 | 5.9% | 5-19 |
| ¼ to ½ minimum wage | 50 | 5.3% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 205 | 21.8% | 20-49 |
| Ages 40–59, male | 145 | 15.4% | 20-49 |
| Ages 15–24, female | 145 | 15.4% | 20-49 |
| Ages 25–39, male | 120 | 12.8% | 20-49 |
| Ages 15–24, male | 90 | 9.6% | 5-19 |
| Ages 40–59, female | 85 | 9.0% | 5-19 |
| Ages 5–14, female | 85 | 9.0% | 5-19 |
| Ages 5–14, male | 40 | 4.3% | 5-19 |
| Other / suppressed | 25 | 2.7% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 3,335 | 39.4% | >=500 |
| Completed high school, incomplete higher education | 2,235 | 26.4% | 100-499 |
| Completed higher education | 1,580 | 18.6% | 100-499 |
| Completed elementary, incomplete high school | 1,325 | 15.6% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 4,835 | 39.8% | >=500 |
| ½ to 1 minimum wage | 3,460 | 28.5% | >=500 |
| More than 2 minimum wages | 2,780 | 22.9% | >=500 |
| ¼ to ½ minimum wage | 745 | 6.1% | 100-499 |
| Up to ¼ of a minimum wage | 310 | 2.6% | 50-99 |
| Other / suppressed | 10 | 0.1% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 1,750 | 15.4% | 100-499 |
| Ages 40–59, male | 1,680 | 14.7% | 100-499 |
| Ages 25–39, female | 1,465 | 12.9% | 100-499 |
| Ages 25–39, male | 1,380 | 12.1% | 100-499 |
| Ages 60 and over, female | 1,160 | 10.2% | 100-499 |
| Ages 60 and over, male | 1,040 | 9.1% | 100-499 |
| Ages 5–14, male | 775 | 6.8% | 100-499 |
| Ages 15–24, female | 745 | 6.5% | 100-499 |
| Ages 5–14, female | 720 | 6.3% | 100-499 |
| Ages 15–24, male | 675 | 5.9% | 100-499 |
Open Turvo/SC 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]: Turvo/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/turvo-sc-4218806/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.