Migration in Governador Dix-Sept Rosado/RN (2017–2022)
Governador Dix-Sept Rosado/RN had a reference population (aged 5 or over in 2022) of 11,265 people. In the 2017–2022 five-year period, the municipality received 655 in-migrants and lost 455 out-migrants to other municipalities in Brazil, resulting in a net migration of +195 people (17.50 per 1,000 population) and a migration effectiveness index (IEM) of 0.178. This classifies the municipality, for the period, as one of migratory attraction.
Indicators
Migration indicators for Governador Dix-Sept Rosado/RN, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 655 | 471 to 839 | good |
| Out-migrants | 455 | 255 to 655 | use with caution |
| Net migration | +195 | −77 to 467 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | 17.50 | - | - |
| Migration effectiveness index (IEM) | 0.178 | - | - |
Sample of in-migrants: 100-499 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 |
| First move from municipality of birth | 325 | 49.6% | 50-99 |
| Multi-step migration | 220 | 33.6% | 20-49 |
| Return to municipality of birth | 110 | 16.8% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 235 | 57.3% | 20-49 |
| Completed high school, incomplete higher education | 80 | 19.5% | 5-19 |
| Completed elementary, incomplete high school | 65 | 15.9% | 5-19 |
| Completed higher education | 30 | 7.3% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ¼ to ½ minimum wage | 250 | 38.2% | 20-49 |
| ½ to 1 minimum wage | 230 | 35.1% | 20-49 |
| Up to ¼ of a minimum wage | 105 | 16.0% | 5-19 |
| 1 to 2 minimum wages | 50 | 7.6% | 5-19 |
| More than 2 minimum wages | 20 | 3.1% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 115 | 17.7% | 20-49 |
| Ages 5–14, female | 80 | 12.3% | 5-19 |
| Ages 40–59, male | 75 | 11.5% | 5-19 |
| Ages 40–59, female | 75 | 11.5% | 5-19 |
| Ages 25–39, male | 70 | 10.8% | 5-19 |
| Ages 5–14, male | 70 | 10.8% | 5-19 |
| Ages 15–24, female | 55 | 8.5% | 5-19 |
| Ages 15–24, male | 40 | 6.2% | 5-19 |
| Ages 60 and over, male | 35 | 5.4% | 5-19 |
| Ages 60 and over, female | 35 | 5.4% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 180 | 39.6% | 5-19 |
| Return to municipality of birth | 145 | 31.9% | 5-19 |
| Multi-step migration | 130 | 28.6% | 5-19 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 145 | 39.7% | 5-19 |
| Completed high school, incomplete higher education | 145 | 39.7% | 5-19 |
| Completed higher education | 45 | 12.3% | 5-19 |
| Other / suppressed | 30 | 8.2% | <5 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ¼ to ½ minimum wage | 220 | 48.4% | 5-19 |
| 1 to 2 minimum wages | 105 | 23.1% | 5-19 |
| ½ to 1 minimum wage | 75 | 16.5% | 5-19 |
| More than 2 minimum wages | 40 | 8.8% | 5-19 |
| Other / suppressed | 15 | 3.3% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 130 | 28.6% | 5-19 |
| Other / suppressed | 115 | 25.3% | 5-19 |
| Ages 25–39, male | 105 | 23.1% | 5-19 |
| Ages 40–59, male | 55 | 12.1% | 5-19 |
| Ages 40–59, female | 50 | 11.0% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 4,340 | 57.9% | >=500 |
| Completed high school, incomplete higher education | 1,550 | 20.7% | 100-499 |
| Completed elementary, incomplete high school | 1,090 | 14.6% | 100-499 |
| Completed higher education | 510 | 6.8% | 50-99 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 3,835 | 34.0% | >=500 |
| ¼ to ½ minimum wage | 3,125 | 27.7% | >=500 |
| Up to ¼ of a minimum wage | 2,570 | 22.8% | 100-499 |
| 1 to 2 minimum wages | 1,445 | 12.8% | 100-499 |
| More than 2 minimum wages | 310 | 2.7% | 50-99 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, male | 1,560 | 14.7% | 100-499 |
| Ages 40–59, female | 1,500 | 14.1% | 100-499 |
| Ages 25–39, male | 1,305 | 12.3% | 100-499 |
| Ages 25–39, female | 1,190 | 11.2% | 100-499 |
| Ages 60 and over, female | 1,010 | 9.5% | 100-499 |
| Ages 60 and over, male | 880 | 8.3% | 100-499 |
| Ages 15–24, male | 870 | 8.2% | 100-499 |
| Ages 15–24, female | 770 | 7.3% | 100-499 |
| Ages 5–14, female | 730 | 6.9% | 100-499 |
| Ages 5–14, male | 720 | 6.8% | 100-499 |
| Other / suppressed | 70 | 0.7% | 5-19 |
Commuting (work and study)
Commuting indicators for Governador Dix-Sept Rosado/RN
| Employed persons (aged 10 and over) | 3,695 |
| Commute out to work in another municipality | 775 |
| Commute in from another municipality to work here | 245 |
| Net commuting | −535 |
| Out-commuting rate (%) | 21.04 |
| Commuting attraction index | 0.845 |
| Median commuting time | 40 min |
Open Governador Dix-Sept Rosado/RN 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]: Governador Dix-Sept Rosado/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/governador-dix-sept-rosado-rn-2404309/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.