Migration in Gentio do Ouro/BA (2017–2022)
Gentio do Ouro/BA had a reference population (aged 5 or over in 2022) of 10,240 people. In the 2017–2022 five-year period, the municipality received 685 in-migrants and lost 450 out-migrants to other municipalities in Brazil, resulting in a net migration of +235 people (22.97 per 1,000 population) and a migration effectiveness index (IEM) of 0.207. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.
Indicators
Migration indicators for Gentio do Ouro/BA, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 685 | 533 to 837 | good |
| Out-migrants | 450 | 249 to 651 | use with caution |
| Net migration | +235 | −17 to 487 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | 22.97 | - | - |
| Migration effectiveness index (IEM) | 0.207 | - | - |
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 |
| Return to municipality of birth | 290 | 42.6% | 50-99 |
| First move from municipality of birth | 210 | 30.9% | 20-49 |
| Multi-step migration | 180 | 26.5% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 200 | 42.1% | 20-49 |
| Completed high school, incomplete higher education | 155 | 32.6% | 20-49 |
| Completed elementary, incomplete high school | 80 | 16.8% | 5-19 |
| Completed higher education | 40 | 8.4% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ¼ to ½ minimum wage | 225 | 32.8% | 20-49 |
| ½ to 1 minimum wage | 165 | 24.1% | 20-49 |
| Up to ¼ of a minimum wage | 155 | 22.6% | 20-49 |
| 1 to 2 minimum wages | 95 | 13.9% | 5-19 |
| More than 2 minimum wages | 45 | 6.6% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 145 | 21.2% | 20-49 |
| Ages 40–59, male | 120 | 17.5% | 20-49 |
| Ages 25–39, male | 110 | 16.1% | 20-49 |
| Ages 5–14, male | 70 | 10.2% | 5-19 |
| Ages 15–24, female | 50 | 7.3% | 5-19 |
| Ages 5–14, female | 50 | 7.3% | 5-19 |
| Ages 15–24, male | 45 | 6.6% | 5-19 |
| Ages 40–59, female | 40 | 5.8% | 5-19 |
| Ages 60 and over, female | 40 | 5.8% | 5-19 |
| Other / suppressed | 15 | 2.2% | <5 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 275 | 61.8% | 20-49 |
| Multi-step migration | 95 | 21.3% | 5-19 |
| Return to municipality of birth | 75 | 16.9% | 5-19 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 115 | 41.1% | 5-19 |
| No schooling or incomplete elementary | 90 | 32.1% | 5-19 |
| Completed elementary, incomplete high school | 45 | 16.1% | 5-19 |
| Other / suppressed | 30 | 10.7% | <5 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 165 | 36.7% | 20-49 |
| ¼ to ½ minimum wage | 145 | 32.2% | 20-49 |
| Other / suppressed | 80 | 17.8% | 5-19 |
| Up to ¼ of a minimum wage | 60 | 13.3% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Other / suppressed | 110 | 24.4% | 5-19 |
| Ages 25–39, female | 105 | 23.3% | 5-19 |
| Ages 25–39, male | 75 | 16.7% | 5-19 |
| Ages 5–14, female | 55 | 12.2% | 5-19 |
| Ages 15–24, male | 40 | 8.9% | 5-19 |
| Ages 40–59, male | 35 | 7.8% | 5-19 |
| Ages 15–24, female | 30 | 6.7% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 4,220 | 64.6% | >=500 |
| Completed high school, incomplete higher education | 1,515 | 23.2% | 100-499 |
| Completed elementary, incomplete high school | 525 | 8.0% | 100-499 |
| Completed higher education | 270 | 4.1% | 50-99 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 3,055 | 30.0% | >=500 |
| ¼ to ½ minimum wage | 2,965 | 29.1% | >=500 |
| Up to ¼ of a minimum wage | 2,780 | 27.3% | >=500 |
| 1 to 2 minimum wages | 1,240 | 12.2% | 100-499 |
| More than 2 minimum wages | 145 | 1.4% | 20-49 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, male | 1,310 | 13.7% | 100-499 |
| Ages 40–59, female | 1,235 | 12.9% | 100-499 |
| Ages 25–39, male | 1,080 | 11.3% | 100-499 |
| Ages 25–39, female | 1,025 | 10.7% | 100-499 |
| Ages 60 and over, male | 950 | 10.0% | 100-499 |
| Ages 60 and over, female | 925 | 9.7% | 100-499 |
| Ages 15–24, male | 840 | 8.8% | 100-499 |
| Ages 15–24, female | 775 | 8.1% | 100-499 |
| Ages 5–14, female | 705 | 7.4% | 100-499 |
| Ages 5–14, male | 695 | 7.3% | 100-499 |
Commuting (work and study)
Commuting indicators for Gentio do Ouro/BA
| Employed persons (aged 10 and over) | 3,745 |
| Commute out to work in another municipality | 25 |
| Commute in from another municipality to work here | 380 |
| Net commuting | +355 |
| Out-commuting rate (%) | 0.66 |
| Commuting attraction index | 1.094 |
| Median commuting time | 30 min |
Open Gentio do Ouro/BA 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]: Gentio do Ouro/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/gentio-do-ouro-ba-2911303/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.