Migration in Pratápolis/MG (2017–2022)
Pratápolis/MG had a reference population (aged 5 or over in 2022) of 8,010 people. In the 2017–2022 five-year period, the municipality received 520 in-migrants and lost 405 out-migrants to other municipalities in Brazil, resulting in a net migration of +115 people (14.30 per 1,000 population) and a migration effectiveness index (IEM) of 0.124. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.
Indicators
Migration indicators for Pratápolis/MG, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 520 | 364 to 676 | use with caution |
| Out-migrants | 405 | 242 to 568 | use with caution |
| Net migration | +115 | −110 to 340 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | 14.30 | - | - |
| Migration effectiveness index (IEM) | 0.124 | - | - |
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 |
| First move from municipality of birth | 195 | 37.5% | 20-49 |
| Multi-step migration | 185 | 35.6% | 20-49 |
| Return to municipality of birth | 140 | 26.9% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 115 | 32.4% | 20-49 |
| No schooling or incomplete elementary | 95 | 26.8% | 20-49 |
| Completed higher education | 85 | 23.9% | 5-19 |
| Completed elementary, incomplete high school | 60 | 16.9% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 230 | 44.2% | 20-49 |
| 1 to 2 minimum wages | 160 | 30.8% | 20-49 |
| More than 2 minimum wages | 65 | 12.5% | 5-19 |
| ¼ to ½ minimum wage | 50 | 9.6% | 5-19 |
| Other / suppressed | 15 | 2.9% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 5–14, male | 70 | 13.6% | 5-19 |
| Ages 60 and over, female | 70 | 13.6% | 5-19 |
| Ages 25–39, female | 65 | 12.6% | 5-19 |
| Ages 40–59, male | 60 | 11.7% | 5-19 |
| Ages 60 and over, male | 60 | 11.7% | 5-19 |
| Ages 40–59, female | 50 | 9.7% | 5-19 |
| Ages 25–39, male | 45 | 8.7% | 5-19 |
| Ages 15–24, female | 40 | 7.8% | 5-19 |
| Ages 15–24, male | 30 | 5.8% | 5-19 |
| Ages 5–14, female | 25 | 4.9% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 245 | 60.5% | 20-49 |
| Multi-step migration | 120 | 29.6% | 20-49 |
| Return to municipality of birth | 40 | 9.9% | 5-19 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 115 | 36.5% | 5-19 |
| No schooling or incomplete elementary | 105 | 33.3% | 5-19 |
| Completed higher education | 75 | 23.8% | 5-19 |
| Other / suppressed | 20 | 6.3% | <5 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 135 | 33.8% | 5-19 |
| More than 2 minimum wages | 120 | 30.0% | 5-19 |
| 1 to 2 minimum wages | 100 | 25.0% | 5-19 |
| Other / suppressed | 45 | 11.2% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, male | 85 | 21.0% | 5-19 |
| Ages 25–39, female | 75 | 18.5% | 5-19 |
| Ages 15–24, male | 65 | 16.0% | 5-19 |
| Ages 60 and over, female | 65 | 16.0% | 5-19 |
| Other / suppressed | 55 | 13.6% | 5-19 |
| Ages 40–59, female | 35 | 8.6% | 5-19 |
| Ages 25–39, male | 25 | 6.2% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 2,640 | 46.2% | >=500 |
| Completed high school, incomplete higher education | 1,755 | 30.7% | 100-499 |
| Completed elementary, incomplete high school | 670 | 11.7% | 100-499 |
| Completed higher education | 645 | 11.3% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 3,100 | 39.3% | >=500 |
| 1 to 2 minimum wages | 1,920 | 24.4% | 100-499 |
| ¼ to ½ minimum wage | 1,540 | 19.5% | 100-499 |
| More than 2 minimum wages | 795 | 10.1% | 100-499 |
| Up to ¼ of a minimum wage | 505 | 6.4% | 50-99 |
| Other / suppressed | 20 | 0.3% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 1,150 | 15.4% | 100-499 |
| Ages 40–59, male | 1,065 | 14.2% | 100-499 |
| Ages 60 and over, female | 1,035 | 13.8% | 100-499 |
| Ages 60 and over, male | 985 | 13.2% | 100-499 |
| Ages 25–39, male | 755 | 10.1% | 100-499 |
| Ages 25–39, female | 715 | 9.5% | 100-499 |
| Ages 15–24, male | 510 | 6.8% | 100-499 |
| Ages 15–24, female | 485 | 6.5% | 50-99 |
| Ages 5–14, male | 420 | 5.6% | 50-99 |
| Ages 5–14, female | 370 | 4.9% | 50-99 |
Commuting (work and study)
Commuting indicators for Pratápolis/MG
| Employed persons (aged 10 and over) | 3,540 |
| Commute out to work in another municipality | 470 |
| Commute in from another municipality to work here | 210 |
| Net commuting | −265 |
| Out-commuting rate (%) | 13.33 |
| Commuting attraction index | 0.918 |
| Median commuting time | 60 min |
Open Pratápolis/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]: Pratápolis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pratapolis-mg-3152907/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.