Migration in São Félix/BA (2017–2022)
São Félix/BA had a reference population (aged 5 or over in 2022) of 10,410 people. In the 2017–2022 five-year period, the municipality received 360 in-migrants and lost 1,050 out-migrants to other municipalities in Brazil, resulting in a net migration of −690 people (−66.36 per 1,000 population) and a migration effectiveness index (IEM) of −0.489. 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 São Félix/BA, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 360 | 252 to 468 | use with caution |
| Out-migrants | 1,050 | 718 to 1,382 | use with caution |
| Net migration | −690 | −1,039 to −341 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −66.36 | - | - |
| Migration effectiveness index (IEM) | −0.489 | - | - |
Sample of in-migrants: 50-99 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 | 150 | 41.7% | 20-49 |
| Return to municipality of birth | 105 | 29.2% | 20-49 |
| Multi-step migration | 105 | 29.2% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 80 | 34.0% | 5-19 |
| Completed higher education | 70 | 29.8% | 5-19 |
| No schooling or incomplete elementary | 55 | 23.4% | 5-19 |
| Completed elementary, incomplete high school | 30 | 12.8% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 135 | 37.0% | 20-49 |
| ¼ to ½ minimum wage | 95 | 26.0% | 5-19 |
| Up to ¼ of a minimum wage | 55 | 15.1% | 5-19 |
| 1 to 2 minimum wages | 45 | 12.3% | 5-19 |
| More than 2 minimum wages | 35 | 9.6% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, male | 65 | 18.1% | 5-19 |
| Ages 25–39, female | 65 | 18.1% | 5-19 |
| Ages 15–24, female | 60 | 16.7% | 5-19 |
| Ages 40–59, female | 55 | 15.3% | 5-19 |
| Other / suppressed | 40 | 11.1% | 5-19 |
| Ages 15–24, male | 35 | 9.7% | 5-19 |
| Ages 40–59, male | 20 | 5.6% | 5-19 |
| Ages 5–14, male | 20 | 5.6% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 750 | 71.1% | 50-99 |
| Multi-step migration | 175 | 16.6% | 5-19 |
| Return to municipality of birth | 130 | 12.3% | 5-19 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 275 | 37.9% | 20-49 |
| No schooling or incomplete elementary | 205 | 28.3% | 20-49 |
| Completed higher education | 140 | 19.3% | 5-19 |
| Completed elementary, incomplete high school | 105 | 14.5% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| Up to ¼ of a minimum wage | 310 | 29.4% | 20-49 |
| ¼ to ½ minimum wage | 250 | 23.7% | 20-49 |
| ½ to 1 minimum wage | 235 | 22.3% | 5-19 |
| 1 to 2 minimum wages | 170 | 16.1% | 5-19 |
| More than 2 minimum wages | 90 | 8.5% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, male | 280 | 26.5% | 20-49 |
| Ages 25–39, female | 225 | 21.3% | 5-19 |
| Ages 15–24, male | 110 | 10.4% | 5-19 |
| Ages 40–59, male | 100 | 9.5% | 5-19 |
| Other / suppressed | 90 | 8.5% | 5-19 |
| Ages 40–59, female | 90 | 8.5% | 5-19 |
| Ages 5–14, male | 85 | 8.1% | 5-19 |
| Ages 5–14, female | 75 | 7.1% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 3,500 | 49.0% | >=500 |
| Completed high school, incomplete higher education | 2,215 | 31.0% | 100-499 |
| Completed elementary, incomplete high school | 965 | 13.5% | 100-499 |
| Completed higher education | 460 | 6.4% | 50-99 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ¼ to ½ minimum wage | 3,600 | 33.8% | >=500 |
| ½ to 1 minimum wage | 3,465 | 32.5% | >=500 |
| Up to ¼ of a minimum wage | 2,415 | 22.6% | 100-499 |
| 1 to 2 minimum wages | 830 | 7.8% | 100-499 |
| More than 2 minimum wages | 355 | 3.3% | 50-99 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 1,595 | 15.9% | 100-499 |
| Ages 40–59, male | 1,465 | 14.6% | 100-499 |
| Ages 25–39, female | 1,195 | 11.9% | 100-499 |
| Ages 25–39, male | 1,075 | 10.7% | 100-499 |
| Ages 60 and over, female | 1,035 | 10.3% | 100-499 |
| Ages 60 and over, male | 770 | 7.7% | 100-499 |
| Ages 15–24, male | 755 | 7.5% | 100-499 |
| Ages 15–24, female | 750 | 7.5% | 100-499 |
| Ages 5–14, female | 705 | 7.0% | 100-499 |
| Ages 5–14, male | 695 | 6.9% | 100-499 |
Commuting (work and study)
Commuting indicators for São Félix/BA
| Employed persons (aged 10 and over) | 3,995 |
| Commute out to work in another municipality | 1,175 |
| Commute in from another municipality to work here | 685 |
| Net commuting | −485 |
| Out-commuting rate (%) | 29.40 |
| Commuting attraction index | 0.853 |
| Median commuting time | 40 min |
Open São Félix/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]: São Félix/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-felix-ba-2929008/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.