Migration in São Pedro dos Ferros/MG (2017–2022)
São Pedro dos Ferros/MG had a reference population (aged 5 or over in 2022) of 6,760 people. In the 2017–2022 five-year period, the municipality received 360 in-migrants and lost 510 out-migrants to other municipalities in Brazil, resulting in a net migration of −145 people (−21.54 per 1,000 population) and a migration effectiveness index (IEM) of −0.167. This classifies the municipality, for the period, as one of migratory depletion.
Indicators
Migration indicators for São Pedro dos Ferros/MG, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 360 | 269 to 451 | good |
| Out-migrants | 510 | 318 to 702 | use with caution |
| Net migration | −145 | −357 to 67 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −21.54 | - | - |
| Migration effectiveness index (IEM) | −0.167 | - | - |
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 |
| Multi-step migration | 155 | 42.5% | 20-49 |
| Return to municipality of birth | 105 | 28.8% | 20-49 |
| First move from municipality of birth | 105 | 28.8% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 90 | 37.5% | 20-49 |
| Completed high school, incomplete higher education | 65 | 27.1% | 20-49 |
| Completed higher education | 50 | 20.8% | 5-19 |
| Completed elementary, incomplete high school | 35 | 14.6% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ¼ to ½ minimum wage | 130 | 35.6% | 20-49 |
| ½ to 1 minimum wage | 120 | 32.9% | 20-49 |
| 1 to 2 minimum wages | 70 | 19.2% | 20-49 |
| More than 2 minimum wages | 25 | 6.8% | 5-19 |
| Other / suppressed | 20 | 5.5% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 60 | 16.7% | 20-49 |
| Ages 25–39, male | 55 | 15.3% | 5-19 |
| Ages 5–14, male | 45 | 12.5% | 5-19 |
| Ages 15–24, female | 40 | 11.1% | 5-19 |
| Ages 40–59, male | 40 | 11.1% | 5-19 |
| Ages 40–59, female | 35 | 9.7% | 5-19 |
| Ages 5–14, female | 25 | 6.9% | 5-19 |
| Ages 60 and over, male | 25 | 6.9% | 5-19 |
| Ages 60 and over, female | 20 | 5.6% | 5-19 |
| Ages 15–24, male | 15 | 4.2% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| Multi-step migration | 270 | 52.9% | 20-49 |
| First move from municipality of birth | 215 | 42.2% | 20-49 |
| Other / suppressed | 25 | 4.9% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 145 | 39.2% | 20-49 |
| Completed high school, incomplete higher education | 135 | 36.5% | 5-19 |
| Completed higher education | 45 | 12.2% | 5-19 |
| Completed elementary, incomplete high school | 45 | 12.2% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 195 | 38.2% | 20-49 |
| 1 to 2 minimum wages | 180 | 35.3% | 5-19 |
| More than 2 minimum wages | 70 | 13.7% | 5-19 |
| Other / suppressed | 65 | 12.7% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, male | 155 | 30.4% | 5-19 |
| Other / suppressed | 95 | 18.6% | 5-19 |
| Ages 25–39, female | 85 | 16.7% | 5-19 |
| Ages 5–14, female | 50 | 9.8% | 5-19 |
| Ages 40–59, male | 45 | 8.8% | 5-19 |
| Ages 15–24, male | 45 | 8.8% | 5-19 |
| Ages 40–59, female | 35 | 6.9% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 2,505 | 53.4% | >=500 |
| Completed high school, incomplete higher education | 1,175 | 25.0% | 100-499 |
| Completed elementary, incomplete high school | 570 | 12.1% | 100-499 |
| Completed higher education | 445 | 9.5% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 2,615 | 38.4% | >=500 |
| ¼ to ½ minimum wage | 1,825 | 26.8% | >=500 |
| 1 to 2 minimum wages | 1,405 | 20.6% | 100-499 |
| Up to ¼ of a minimum wage | 535 | 7.9% | 100-499 |
| More than 2 minimum wages | 405 | 6.0% | 100-499 |
| Not applicable (collective dwelling) | 20 | 0.3% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 955 | 14.9% | 100-499 |
| Ages 60 and over, female | 890 | 13.9% | 100-499 |
| Ages 40–59, male | 890 | 13.9% | 100-499 |
| Ages 60 and over, male | 730 | 11.4% | 100-499 |
| Ages 25–39, female | 635 | 9.9% | 100-499 |
| Ages 25–39, male | 605 | 9.4% | 100-499 |
| Ages 15–24, male | 505 | 7.9% | 100-499 |
| Ages 15–24, female | 445 | 6.9% | 100-499 |
| Ages 5–14, male | 375 | 5.9% | 100-499 |
| Ages 5–14, female | 375 | 5.9% | 100-499 |
Commuting (work and study)
Commuting indicators for São Pedro dos Ferros/MG
| Employed persons (aged 10 and over) | 3,005 |
| Commute out to work in another municipality | 295 |
| Commute in from another municipality to work here | 95 |
| Net commuting | −200 |
| Out-commuting rate (%) | 9.77 |
| Commuting attraction index | 0.913 |
| Median commuting time | 40 min |
Open São Pedro dos Ferros/MG 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 Pedro dos Ferros/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-pedro-dos-ferros-mg-3164001/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.