Migration in Severiano Melo/RN (2017–2022)
Severiano Melo/RN had a reference population (aged 5 or over in 2022) of 5,210 people. In the 2017–2022 five-year period, the municipality received 265 in-migrants and lost 505 out-migrants to other municipalities in Brazil, resulting in a net migration of −240 people (−46.38 per 1,000 population) and a migration effectiveness index (IEM) of −0.315. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.
Indicators
Migration indicators for Severiano Melo/RN, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 265 | 195 to 335 | good |
| Out-migrants | 505 | 290 to 720 | use with caution |
| Net migration | −240 | −466 to −14 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −46.38 | - | - |
| Migration effectiveness index (IEM) | −0.315 | - | - |
Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 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 | 110 | 41.5% | 50-99 |
| Return to municipality of birth | 90 | 34.0% | 20-49 |
| Multi-step migration | 65 | 24.5% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 100 | 54.1% | 50-99 |
| Completed high school, incomplete higher education | 35 | 18.9% | 5-19 |
| Completed higher education | 25 | 13.5% | 5-19 |
| Completed elementary, incomplete high school | 25 | 13.5% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ¼ to ½ minimum wage | 110 | 41.5% | 20-49 |
| ½ to 1 minimum wage | 80 | 30.2% | 20-49 |
| Up to ¼ of a minimum wage | 50 | 18.9% | 20-49 |
| 1 to 2 minimum wages | 15 | 5.7% | 5-19 |
| More than 2 minimum wages | 10 | 3.8% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 55 | 20.4% | 20-49 |
| Ages 25–39, male | 40 | 14.8% | 5-19 |
| Ages 40–59, female | 35 | 13.0% | 5-19 |
| Ages 40–59, male | 30 | 11.1% | 5-19 |
| Ages 15–24, male | 30 | 11.1% | 5-19 |
| Ages 15–24, female | 20 | 7.4% | 5-19 |
| Ages 60 and over, female | 15 | 5.6% | 5-19 |
| Ages 5–14, male | 15 | 5.6% | 5-19 |
| Ages 5–14, female | 15 | 5.6% | 5-19 |
| Ages 60 and over, male | 15 | 5.6% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| Multi-step migration | 260 | 51.5% | 20-49 |
| First move from municipality of birth | 180 | 35.6% | 20-49 |
| Return to municipality of birth | 65 | 12.9% | 5-19 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 145 | 53.7% | 20-49 |
| Other / suppressed | 80 | 29.6% | 5-19 |
| Completed high school, incomplete higher education | 45 | 16.7% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 170 | 33.7% | 5-19 |
| ¼ to ½ minimum wage | 115 | 22.8% | 5-19 |
| Up to ¼ of a minimum wage | 105 | 20.8% | 5-19 |
| More than 2 minimum wages | 85 | 16.8% | 5-19 |
| Other / suppressed | 30 | 5.9% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 105 | 20.8% | 5-19 |
| Ages 15–24, female | 75 | 14.9% | 5-19 |
| Ages 15–24, male | 60 | 11.9% | 5-19 |
| Ages 40–59, female | 55 | 10.9% | 5-19 |
| Ages 5–14, male | 55 | 10.9% | 5-19 |
| Ages 40–59, male | 50 | 9.9% | 5-19 |
| Ages 25–39, male | 45 | 8.9% | 5-19 |
| Ages 5–14, female | 40 | 7.9% | 5-19 |
| Other / suppressed | 20 | 4.0% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 2,215 | 60.9% | >=500 |
| Completed high school, incomplete higher education | 740 | 20.3% | 100-499 |
| Completed elementary, incomplete high school | 350 | 9.6% | 100-499 |
| Completed higher education | 335 | 9.2% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 1,955 | 37.4% | >=500 |
| ¼ to ½ minimum wage | 1,560 | 29.9% | >=500 |
| Up to ¼ of a minimum wage | 930 | 17.8% | 100-499 |
| 1 to 2 minimum wages | 590 | 11.3% | 100-499 |
| More than 2 minimum wages | 190 | 3.6% | 50-99 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 760 | 15.4% | 100-499 |
| Ages 40–59, male | 740 | 15.0% | 100-499 |
| Ages 25–39, male | 595 | 12.0% | 100-499 |
| Ages 25–39, female | 555 | 11.2% | 100-499 |
| Ages 60 and over, female | 525 | 10.6% | 100-499 |
| Ages 60 and over, male | 470 | 9.5% | 100-499 |
| Ages 15–24, male | 360 | 7.3% | 100-499 |
| Ages 15–24, female | 325 | 6.6% | 100-499 |
| Ages 5–14, female | 315 | 6.4% | 100-499 |
| Ages 5–14, male | 300 | 6.1% | 100-499 |
Commuting (work and study)
Commuting indicators for Severiano Melo/RN
| Employed persons (aged 10 and over) | 1,825 |
| Commute out to work in another municipality | 235 |
| Commute in from another municipality to work here | 145 |
| Net commuting | −90 |
| Out-commuting rate (%) | 12.75 |
| Commuting attraction index | 0.936 |
| Median commuting time | 30 min |
Open Severiano Melo/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]: Severiano Melo/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/severiano-melo-rn-2413607/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.