Migration in Bonfim/MG (2017–2022)
Bonfim/MG had a reference population (aged 5 or over in 2022) of 7,145 people. In the 2017–2022 five-year period, the municipality received 530 in-migrants and lost 285 out-migrants to other municipalities in Brazil, resulting in a net migration of +245 people (34.32 per 1,000 population) and a migration effectiveness index (IEM) of 0.302. This classifies the municipality, for the period, as one of migratory attraction.
Indicators
Migration indicators for Bonfim/MG, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 530 | 414 to 646 | good |
| Out-migrants | 285 | 132 to 438 | use with caution |
| Net migration | +245 | 53 to 437 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | 34.32 | - | - |
| Migration effectiveness index (IEM) | 0.302 | - | - |
Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 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 | 220 | 41.9% | 50-99 |
| Multi-step migration | 205 | 39.0% | 50-99 |
| Return to municipality of birth | 100 | 19.0% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 185 | 46.2% | 50-99 |
| Completed high school, incomplete higher education | 95 | 23.8% | 20-49 |
| Completed higher education | 80 | 20.0% | 20-49 |
| Completed elementary, incomplete high school | 40 | 10.0% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 185 | 34.9% | 50-99 |
| 1 to 2 minimum wages | 140 | 26.4% | 20-49 |
| ¼ to ½ minimum wage | 100 | 18.9% | 20-49 |
| More than 2 minimum wages | 75 | 14.2% | 20-49 |
| Up to ¼ of a minimum wage | 30 | 5.7% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 115 | 21.7% | 20-49 |
| Ages 40–59, male | 95 | 17.9% | 20-49 |
| Ages 25–39, female | 60 | 11.3% | 5-19 |
| Ages 25–39, male | 55 | 10.4% | 5-19 |
| Ages 15–24, male | 45 | 8.5% | 5-19 |
| Ages 60 and over, male | 45 | 8.5% | 5-19 |
| Ages 15–24, female | 35 | 6.6% | 5-19 |
| Ages 60 and over, female | 30 | 5.7% | 5-19 |
| Ages 5–14, female | 30 | 5.7% | 5-19 |
| Ages 5–14, male | 20 | 3.8% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| Multi-step migration | 170 | 59.6% | 20-49 |
| First move from municipality of birth | 95 | 33.3% | 5-19 |
| Other / suppressed | 20 | 7.0% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 95 | 55.9% | 5-19 |
| Other / suppressed | 40 | 23.5% | <5 |
| No schooling or incomplete elementary | 35 | 20.6% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 170 | 58.6% | 5-19 |
| Other / suppressed | 45 | 15.5% | 5-19 |
| ¼ to ½ minimum wage | 45 | 15.5% | 5-19 |
| ½ to 1 minimum wage | 30 | 10.3% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Other / suppressed | 110 | 39.3% | 5-19 |
| Ages 25–39, male | 70 | 25.0% | 5-19 |
| Ages 25–39, female | 50 | 17.9% | 5-19 |
| Ages 15–24, female | 50 | 17.9% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 3,145 | 60.2% | >=500 |
| Completed high school, incomplete higher education | 1,000 | 19.2% | 100-499 |
| Completed elementary, incomplete high school | 620 | 11.9% | 100-499 |
| Completed higher education | 455 | 8.7% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 2,760 | 39.9% | >=500 |
| 1 to 2 minimum wages | 1,615 | 23.4% | >=500 |
| ¼ to ½ minimum wage | 1,495 | 21.6% | 100-499 |
| More than 2 minimum wages | 515 | 7.5% | 100-499 |
| Up to ¼ of a minimum wage | 485 | 7.0% | 100-499 |
| Not applicable (collective dwelling) | 40 | 0.6% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, male | 1,080 | 16.3% | 100-499 |
| Ages 40–59, female | 1,045 | 15.8% | 100-499 |
| Ages 60 and over, female | 1,005 | 15.2% | 100-499 |
| Ages 60 and over, male | 930 | 14.1% | 100-499 |
| Ages 25–39, male | 595 | 9.0% | 100-499 |
| Ages 25–39, female | 565 | 8.5% | 100-499 |
| Ages 15–24, male | 425 | 6.4% | 100-499 |
| Ages 15–24, female | 355 | 5.4% | 100-499 |
| Ages 5–14, male | 335 | 5.1% | 100-499 |
| Ages 5–14, female | 280 | 4.2% | 50-99 |
Open Bonfim/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]: Bonfim/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/bonfim-mg-3108107/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.