Migration in Nova Aurora/PR (2017–2022)
Nova Aurora/PR had a reference population (aged 5 or over in 2022) of 12,910 people. In the 2017–2022 five-year period, the municipality received 970 in-migrants and lost 990 out-migrants to other municipalities in Brazil, resulting in a net migration of −20 people (−1.73 per 1,000 population) and a migration effectiveness index (IEM) of −0.011. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 50 came from abroad.
Indicators
Migration indicators for Nova Aurora/PR, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 970 | 744 to 1,196 | good |
| Out-migrants | 990 | 722 to 1,258 | good |
| Net migration | −20 | −371 to 331 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −1.73 | - | - |
| Migration effectiveness index (IEM) | −0.011 | - | - |
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 | 440 | 45.1% | 50-99 |
| First move from municipality of birth | 400 | 41.0% | 50-99 |
| Return to municipality of birth | 135 | 13.8% | 20-49 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 245 | 35.8% | 20-49 |
| Completed high school, incomplete higher education | 190 | 27.7% | 20-49 |
| Completed higher education | 145 | 21.2% | 20-49 |
| Completed elementary, incomplete high school | 105 | 15.3% | 20-49 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 325 | 33.5% | 50-99 |
| 1 to 2 minimum wages | 290 | 29.9% | 50-99 |
| More than 2 minimum wages | 155 | 16.0% | 20-49 |
| ¼ to ½ minimum wage | 110 | 11.3% | 20-49 |
| Up to ¼ of a minimum wage | 80 | 8.2% | 5-19 |
| Other / suppressed | 10 | 1.0% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, male | 170 | 17.5% | 20-49 |
| Ages 25–39, female | 170 | 17.5% | 20-49 |
| Ages 40–59, female | 155 | 16.0% | 20-49 |
| Ages 40–59, male | 150 | 15.5% | 20-49 |
| Ages 15–24, female | 85 | 8.8% | 5-19 |
| Ages 15–24, male | 80 | 8.2% | 5-19 |
| Ages 5–14, male | 65 | 6.7% | 5-19 |
| Ages 5–14, female | 60 | 6.2% | 5-19 |
| Other / suppressed | 35 | 3.6% | 5-19 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 525 | 53.0% | 50-99 |
| Multi-step migration | 375 | 37.9% | 50-99 |
| Return to municipality of birth | 80 | 8.1% | 5-19 |
| Other / suppressed | 10 | 1.0% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 210 | 29.8% | 20-49 |
| Completed higher education | 200 | 28.4% | 20-49 |
| Completed high school, incomplete higher education | 195 | 27.7% | 20-49 |
| Completed elementary, incomplete high school | 100 | 14.2% | 5-19 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 370 | 37.2% | 50-99 |
| ½ to 1 minimum wage | 260 | 26.1% | 50-99 |
| More than 2 minimum wages | 185 | 18.6% | 20-49 |
| ¼ to ½ minimum wage | 110 | 11.1% | 5-19 |
| Up to ¼ of a minimum wage | 70 | 7.0% | 5-19 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 185 | 18.7% | 20-49 |
| Ages 25–39, male | 185 | 18.7% | 20-49 |
| Ages 5–14, female | 105 | 10.6% | 5-19 |
| Ages 15–24, female | 100 | 10.1% | 20-49 |
| Ages 40–59, female | 90 | 9.1% | 5-19 |
| Ages 40–59, male | 90 | 9.1% | 5-19 |
| Ages 60 and over, female | 90 | 9.1% | 5-19 |
| Ages 60 and over, male | 60 | 6.1% | 5-19 |
| Ages 5–14, male | 55 | 5.6% | 5-19 |
| Ages 15–24, male | 30 | 3.0% | 5-19 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| No schooling or incomplete elementary | 3,335 | 38.5% | >=500 |
| Completed high school, incomplete higher education | 2,800 | 32.3% | >=500 |
| Completed higher education | 1,300 | 15.0% | 100-499 |
| Completed elementary, incomplete high school | 1,230 | 14.2% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| 1 to 2 minimum wages | 4,540 | 35.6% | >=500 |
| ½ to 1 minimum wage | 4,390 | 34.5% | >=500 |
| More than 2 minimum wages | 2,125 | 16.7% | 100-499 |
| ¼ to ½ minimum wage | 1,345 | 10.6% | 100-499 |
| Up to ¼ of a minimum wage | 330 | 2.6% | 50-99 |
| Other / suppressed | 10 | 0.1% | <5 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 1,760 | 14.8% | 100-499 |
| Ages 40–59, male | 1,695 | 14.3% | 100-499 |
| Ages 60 and over, female | 1,390 | 11.7% | 100-499 |
| Ages 25–39, female | 1,340 | 11.3% | 100-499 |
| Ages 25–39, male | 1,270 | 10.7% | 100-499 |
| Ages 60 and over, male | 1,210 | 10.2% | 100-499 |
| Ages 5–14, male | 870 | 7.3% | 100-499 |
| Ages 5–14, female | 855 | 7.2% | 100-499 |
| Ages 15–24, male | 785 | 6.6% | 100-499 |
| Ages 15–24, female | 710 | 6.0% | 100-499 |
Open Nova Aurora/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]: Nova Aurora/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-aurora-pr-4116703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.