Migration in Buritis/MG (2017–2022)
Buritis/MG had a reference population (aged 5 or over in 2022) of 22,265 people. In the 2017–2022 five-year period, the municipality received 1,445 in-migrants and lost 2,290 out-migrants to other municipalities in Brazil, resulting in a net migration of −850 people (−38.12 per 1,000 population) and a migration effectiveness index (IEM) of −0.227. This classifies the municipality, for the period, as one of migratory depletion. In addition, 25 arrived with an unreported origin and 25 came from abroad.
Indicators
Migration indicators for Buritis/MG, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 1,445 | 1,110 to 1,780 | good |
| Out-migrants | 2,290 | 1,715 to 2,865 | good |
| Net migration | −850 | −1,516 to −184 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −38.12 | - | - |
| Migration effectiveness index (IEM) | −0.227 | - | - |
Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 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 | 570 | 39.6% | 50-99 |
| First move from municipality of birth | 515 | 35.8% | 50-99 |
| Return to municipality of birth | 355 | 24.7% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 410 | 46.3% | 20-49 |
| No schooling or incomplete elementary | 215 | 24.3% | 20-49 |
| Completed higher education | 160 | 18.1% | 5-19 |
| Completed elementary, incomplete high school | 100 | 11.3% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 565 | 39.1% | 50-99 |
| 1 to 2 minimum wages | 380 | 26.3% | 20-49 |
| ¼ to ½ minimum wage | 240 | 16.6% | 20-49 |
| More than 2 minimum wages | 135 | 9.3% | 5-19 |
| Up to ¼ of a minimum wage | 95 | 6.6% | 5-19 |
| Other / suppressed | 30 | 2.1% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, male | 300 | 20.8% | 20-49 |
| Ages 25–39, female | 250 | 17.4% | 20-49 |
| Ages 15–24, female | 220 | 15.3% | 5-19 |
| Ages 40–59, male | 140 | 9.7% | 5-19 |
| Ages 15–24, male | 115 | 8.0% | 5-19 |
| Ages 5–14, female | 115 | 8.0% | 5-19 |
| Ages 5–14, male | 110 | 7.6% | 5-19 |
| Ages 40–59, female | 110 | 7.6% | 5-19 |
| Ages 60 and over, male | 70 | 4.9% | 5-19 |
| Other / suppressed | 10 | 0.7% | <5 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 1,200 | 52.4% | 50-99 |
| Multi-step migration | 805 | 35.2% | 100-499 |
| Return to municipality of birth | 285 | 12.4% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 405 | 33.8% | 20-49 |
| No schooling or incomplete elementary | 395 | 32.9% | 50-99 |
| Completed higher education | 255 | 21.2% | 20-49 |
| Completed elementary, incomplete high school | 145 | 12.1% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 695 | 30.3% | 50-99 |
| ½ to 1 minimum wage | 610 | 26.6% | 50-99 |
| ¼ to ½ minimum wage | 530 | 23.1% | 50-99 |
| More than 2 minimum wages | 250 | 10.9% | 20-49 |
| Up to ¼ of a minimum wage | 205 | 8.9% | 20-49 |
| Other / suppressed | 5 | 0.2% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 15–24, male | 345 | 15.0% | 20-49 |
| Ages 15–24, female | 335 | 14.6% | 20-49 |
| Ages 25–39, female | 315 | 13.7% | 20-49 |
| Ages 25–39, male | 260 | 11.3% | 20-49 |
| Ages 40–59, female | 220 | 9.6% | 20-49 |
| Ages 40–59, male | 220 | 9.6% | 20-49 |
| Ages 5–14, female | 210 | 9.2% | 20-49 |
| Ages 5–14, male | 200 | 8.7% | 5-19 |
| Ages 60 and over, female | 145 | 6.3% | 5-19 |
| Ages 60 and over, male | 45 | 2.0% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 6,935 | 50.2% | >=500 |
| Completed high school, incomplete higher education | 3,845 | 27.8% | 100-499 |
| Completed elementary, incomplete high school | 1,615 | 11.7% | 100-499 |
| Completed higher education | 1,415 | 10.2% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 8,015 | 35.6% | >=500 |
| ¼ to ½ minimum wage | 5,715 | 25.3% | >=500 |
| 1 to 2 minimum wages | 3,900 | 17.3% | 100-499 |
| Up to ¼ of a minimum wage | 3,220 | 14.3% | 100-499 |
| More than 2 minimum wages | 1,605 | 7.1% | 100-499 |
| Not applicable (collective dwelling) | 90 | 0.4% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 3,005 | 14.5% | 100-499 |
| Ages 40–59, male | 2,725 | 13.1% | 100-499 |
| Ages 25–39, female | 2,420 | 11.6% | 100-499 |
| Ages 25–39, male | 2,285 | 11.0% | 100-499 |
| Ages 15–24, male | 1,980 | 9.5% | 100-499 |
| Ages 60 and over, male | 1,760 | 8.5% | 100-499 |
| Ages 15–24, female | 1,715 | 8.3% | 100-499 |
| Ages 5–14, female | 1,670 | 8.0% | 100-499 |
| Ages 60 and over, female | 1,620 | 7.8% | 100-499 |
| Ages 5–14, male | 1,595 | 7.7% | 100-499 |
Open Buritis/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]: Buritis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/buritis-mg-3109303/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.