Migration in Venha-Ver/RN (2017–2022)
Venha-Ver/RN had a reference population (aged 5 or over in 2022) of 2,820 people. In the 2017–2022 five-year period, the municipality received 135 in-migrants and lost 185 out-migrants to other municipalities in Brazil, resulting in a net migration of −50 people (−17.81 per 1,000 population) and a migration effectiveness index (IEM) of −0.159. This classifies the municipality, for the period, as one of migratory depletion.
Indicators
Migration indicators for Venha-Ver/RN, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
|---|
| In-migrants | 135 | 75 to 195 | use with caution |
|---|
| Out-migrants | 185 | 65 to 305 | low precision |
|---|
| Net migration | −50 | −184 to 84 | not classified |
|---|
| Net migration rate, TLM (per 1,000 pop.) | −17.81 | - | - |
|---|
| Migration effectiveness index (IEM) | −0.159 | - | - |
|---|
Sample of in-migrants: 20-49 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.
Top origins and destinations
Top 10 destinations of out-migrants from Venha-Ver/RN
| 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 |
|---|
| First move from municipality of birth | 80 | 59.3% | 20-49 |
|---|
| Multi-step migration | 35 | 25.9% | 5-19 |
|---|
| Return to municipality of birth | 20 | 14.8% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 30 | 33.3% | 5-19 |
|---|
| Completed high school, incomplete higher education | 25 | 27.8% | 5-19 |
|---|
| Completed elementary, incomplete high school | 20 | 22.2% | 5-19 |
|---|
| Other / suppressed | 15 | 16.7% | <5 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ¼ to ½ minimum wage | 50 | 37.0% | 5-19 |
|---|
| Up to ¼ of a minimum wage | 40 | 29.6% | 5-19 |
|---|
| ½ to 1 minimum wage | 30 | 22.2% | 5-19 |
|---|
| Other / suppressed | 15 | 11.1% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 70 | 51.9% | 20-49 |
|---|
| Ages 25–39, female | 30 | 22.2% | 5-19 |
|---|
| Ages 25–39, male | 20 | 14.8% | 5-19 |
|---|
| Ages 40–59, female | 15 | 11.1% | 5-19 |
|---|
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| First move from municipality of birth | 90 | 48.6% | 5-19 |
|---|
| Multi-step migration | 70 | 37.8% | 5-19 |
|---|
| Return to municipality of birth | 25 | 13.5% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 55 | 57.9% | 5-19 |
|---|
| Other / suppressed | 40 | 42.1% | <5 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| 1 to 2 minimum wages | 60 | 32.4% | 5-19 |
|---|
| ¼ to ½ minimum wage | 50 | 27.0% | 5-19 |
|---|
| ½ to 1 minimum wage | 45 | 24.3% | 5-19 |
|---|
| Other / suppressed | 30 | 16.2% | <5 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 185 | 100.0% | 20-49 |
|---|
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 1,400 | 75.9% | 100-499 |
|---|
| Completed elementary, incomplete high school | 230 | 12.5% | 50-99 |
|---|
| Completed high school, incomplete higher education | 140 | 7.6% | 20-49 |
|---|
| Completed higher education | 75 | 4.1% | 20-49 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| Up to ¼ of a minimum wage | 1,130 | 39.3% | 100-499 |
|---|
| ¼ to ½ minimum wage | 785 | 27.3% | 100-499 |
|---|
| ½ to 1 minimum wage | 745 | 25.9% | 100-499 |
|---|
| 1 to 2 minimum wages | 200 | 7.0% | 50-99 |
|---|
| More than 2 minimum wages | 15 | 0.5% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 40–59, male | 395 | 14.7% | 100-499 |
|---|
| Ages 40–59, female | 370 | 13.8% | 100-499 |
|---|
| Ages 25–39, male | 300 | 11.2% | 100-499 |
|---|
| Ages 25–39, female | 290 | 10.8% | 50-99 |
|---|
| Ages 60 and over, female | 275 | 10.2% | 50-99 |
|---|
| Ages 15–24, male | 250 | 9.3% | 50-99 |
|---|
| Ages 60 and over, male | 220 | 8.2% | 50-99 |
|---|
| Ages 15–24, female | 205 | 7.6% | 50-99 |
|---|
| Ages 5–14, female | 200 | 7.4% | 50-99 |
|---|
| Ages 5–14, male | 185 | 6.9% | 50-99 |
|---|
Commuting (work and study)
Commuting indicators for Venha-Ver/RN
| Employed persons (aged 10 and over) | 285 |
|---|
| Commute out to work in another municipality | 25 |
|---|
| Commute in from another municipality to work here | 30 |
|---|
| Net commuting | +10 |
|---|
| Out-commuting rate (%) | 8.42 |
|---|
| Commuting attraction index | 0.998 |
|---|
| Median commuting time | 40 min |
|---|
Open Venha-Ver/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]: Venha-Ver/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/venha-ver-rn-2414753/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.