Migration in Uniflor/PR (2017–2022)
Uniflor/PR had a reference population (aged 5 or over in 2022) of 2,020 people. In the 2017–2022 five-year period, the municipality received 175 in-migrants and lost 240 out-migrants to other municipalities in Brazil, resulting in a net migration of −65 people (−32.32 per 1,000 population) and a migration effectiveness index (IEM) of −0.156. This classifies the municipality, for the period, as one of migratory depletion.
Indicators
Migration indicators for Uniflor/PR, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 175 | 93 to 257 | use with caution |
| Out-migrants | 240 | 99 to 381 | use with caution |
| Net migration | −65 | −228 to 98 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −32.32 | - | - |
| Migration effectiveness index (IEM) | −0.156 | - | - |
Sample of in-migrants: 20-49 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 |
| Multi-step migration | 125 | 71.4% | 20-49 |
| First move from municipality of birth | 45 | 25.7% | 5-19 |
| Other / suppressed | 5 | 2.9% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 60 | 54.5% | 5-19 |
| Completed high school, incomplete higher education | 25 | 22.7% | 5-19 |
| Completed elementary, incomplete high school | 15 | 13.6% | 5-19 |
| Other / suppressed | 10 | 9.1% | <5 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 85 | 47.2% | 20-49 |
| 1 to 2 minimum wages | 45 | 25.0% | 5-19 |
| ¼ to ½ minimum wage | 35 | 19.4% | 5-19 |
| Other / suppressed | 15 | 8.3% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Other / suppressed | 45 | 25.7% | 5-19 |
| Ages 40–59, male | 30 | 17.1% | 5-19 |
| Ages 5–14, female | 25 | 14.3% | 5-19 |
| Ages 40–59, female | 25 | 14.3% | 5-19 |
| Ages 25–39, female | 20 | 11.4% | 5-19 |
| Ages 15–24, male | 15 | 8.6% | 5-19 |
| Ages 25–39, male | 15 | 8.6% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| Multi-step migration | 170 | 70.8% | 20-49 |
| Return to municipality of birth | 40 | 16.7% | 5-19 |
| First move from municipality of birth | 30 | 12.5% | 5-19 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed elementary, incomplete high school | 55 | 35.5% | 5-19 |
| No schooling or incomplete elementary | 40 | 25.8% | 5-19 |
| Completed high school, incomplete higher education | 30 | 19.4% | 5-19 |
| Other / suppressed | 30 | 19.4% | <5 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 75 | 31.2% | 5-19 |
| ½ to 1 minimum wage | 65 | 27.1% | 5-19 |
| More than 2 minimum wages | 50 | 20.8% | 5-19 |
| ¼ to ½ minimum wage | 45 | 18.8% | 5-19 |
| Other / suppressed | 5 | 2.1% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Other / suppressed | 105 | 43.8% | 5-19 |
| Ages 15–24, female | 45 | 18.8% | 5-19 |
| Ages 25–39, female | 45 | 18.8% | 5-19 |
| Ages 25–39, male | 45 | 18.8% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 700 | 49.5% | 100-499 |
| Completed high school, incomplete higher education | 420 | 29.7% | 100-499 |
| Completed higher education | 155 | 11.0% | 50-99 |
| Completed elementary, incomplete high school | 140 | 9.9% | 50-99 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 860 | 43.9% | 100-499 |
| 1 to 2 minimum wages | 590 | 30.1% | 100-499 |
| ¼ to ½ minimum wage | 230 | 11.7% | 50-99 |
| More than 2 minimum wages | 170 | 8.7% | 50-99 |
| Up to ¼ of a minimum wage | 110 | 5.6% | 20-49 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, male | 310 | 16.8% | 100-499 |
| Ages 40–59, female | 295 | 16.0% | 100-499 |
| Ages 60 and over, female | 220 | 11.9% | 50-99 |
| Ages 60 and over, male | 200 | 10.8% | 50-99 |
| Ages 25–39, male | 195 | 10.6% | 50-99 |
| Ages 25–39, female | 195 | 10.6% | 50-99 |
| Ages 5–14, male | 130 | 7.0% | 20-49 |
| Ages 15–24, male | 105 | 5.7% | 20-49 |
| Ages 5–14, female | 100 | 5.4% | 20-49 |
| Ages 15–24, female | 95 | 5.1% | 20-49 |
Commuting (work and study)
Commuting indicators for Uniflor/PR
| Employed persons (aged 10 and over) | 1,020 |
| Commute out to work in another municipality | 205 |
| Commute in from another municipality to work here | 70 |
| Net commuting | −135 |
| Out-commuting rate (%) | 20.04 |
| Commuting attraction index | 0.850 |
| Median commuting time | 30 min |
Open Uniflor/PR 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]: Uniflor/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/uniflor-pr-4128302/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.