Migration in Santa Inês/PR (2017–2022)
Santa Inês/PR had a reference population (aged 5 or over in 2022) of 1,650 people. In the 2017–2022 five-year period, the municipality received 175 in-migrants and lost 135 out-migrants to other municipalities in Brazil, resulting in a net migration of +40 people (24.65 per 1,000 population) and a migration effectiveness index (IEM) of 0.131. This classifies the municipality, for the period, as one of migratory attraction.
Indicators
Migration indicators for Santa Inês/PR, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
|---|
| In-migrants | 175 | 118 to 232 | use with caution |
|---|
| Out-migrants | 135 | 49 to 221 | low precision |
|---|
| Net migration | +40 | −63 to 143 | not classified |
|---|
| Net migration rate, TLM (per 1,000 pop.) | 24.65 | - | - |
|---|
| Migration effectiveness index (IEM) | 0.131 | - | - |
|---|
Sample of in-migrants: 50-99 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 | 100 | 57.1% | 20-49 |
|---|
| First move from municipality of birth | 60 | 34.3% | 20-49 |
|---|
| Return to municipality of birth | 15 | 8.6% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 55 | 45.8% | 20-49 |
|---|
| Completed high school, incomplete higher education | 45 | 37.5% | 20-49 |
|---|
| Completed higher education | 10 | 8.3% | 5-19 |
|---|
| Other / suppressed | 10 | 8.3% | <5 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ½ to 1 minimum wage | 65 | 37.1% | 20-49 |
|---|
| ¼ to ½ minimum wage | 50 | 28.6% | 20-49 |
|---|
| 1 to 2 minimum wages | 30 | 17.1% | 5-19 |
|---|
| More than 2 minimum wages | 30 | 17.1% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 25–39, female | 30 | 17.1% | 5-19 |
|---|
| Ages 40–59, male | 25 | 14.3% | 5-19 |
|---|
| Ages 15–24, female | 25 | 14.3% | 5-19 |
|---|
| Ages 25–39, male | 20 | 11.4% | 5-19 |
|---|
| Ages 60 and over, female | 20 | 11.4% | 5-19 |
|---|
| Ages 40–59, female | 15 | 8.6% | 5-19 |
|---|
| Ages 15–24, male | 15 | 8.6% | 5-19 |
|---|
| Other / suppressed | 15 | 8.6% | 5-19 |
|---|
| Ages 5–14, male | 10 | 5.7% | 5-19 |
|---|
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| Multi-step migration | 80 | 59.3% | 5-19 |
|---|
| First move from municipality of birth | 45 | 33.3% | 5-19 |
|---|
| Other / suppressed | 10 | 7.4% | <5 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 25 | 41.7% | 5-19 |
|---|
| No schooling or incomplete elementary | 20 | 33.3% | 5-19 |
|---|
| Completed high school, incomplete higher education | 15 | 25.0% | 5-19 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| 1 to 2 minimum wages | 70 | 51.9% | 5-19 |
|---|
| Other / suppressed | 40 | 29.6% | 5-19 |
|---|
| ½ to 1 minimum wage | 25 | 18.5% | 5-19 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 75 | 53.6% | 5-19 |
|---|
| Ages 5–14, female | 25 | 17.9% | 5-19 |
|---|
| Ages 25–39, male | 20 | 14.3% | 5-19 |
|---|
| Ages 15–24, male | 20 | 14.3% | 5-19 |
|---|
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 465 | 42.1% | 100-499 |
|---|
| Completed high school, incomplete higher education | 355 | 32.1% | 100-499 |
|---|
| Completed elementary, incomplete high school | 150 | 13.6% | 50-99 |
|---|
| Completed higher education | 135 | 12.2% | 50-99 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ½ to 1 minimum wage | 685 | 43.6% | 100-499 |
|---|
| 1 to 2 minimum wages | 455 | 29.0% | 100-499 |
|---|
| ¼ to ½ minimum wage | 200 | 12.7% | 50-99 |
|---|
| More than 2 minimum wages | 160 | 10.2% | 50-99 |
|---|
| Up to ¼ of a minimum wage | 70 | 4.5% | 20-49 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 40–59, female | 235 | 16.0% | 100-499 |
|---|
| Ages 40–59, male | 230 | 15.6% | 100-499 |
|---|
| Ages 60 and over, female | 175 | 11.9% | 50-99 |
|---|
| Ages 60 and over, male | 175 | 11.9% | 50-99 |
|---|
| Ages 25–39, male | 150 | 10.2% | 50-99 |
|---|
| Ages 25–39, female | 135 | 9.2% | 50-99 |
|---|
| Ages 15–24, male | 100 | 6.8% | 20-49 |
|---|
| Ages 5–14, female | 95 | 6.5% | 20-49 |
|---|
| Ages 15–24, female | 90 | 6.1% | 20-49 |
|---|
| Ages 5–14, male | 85 | 5.8% | 20-49 |
|---|
Commuting (work and study)
Commuting indicators for Santa Inês/PR
| Employed persons (aged 10 and over) | 810 |
|---|
| Commute out to work in another municipality | 270 |
|---|
| Commute in from another municipality to work here | 25 |
|---|
| Net commuting | −245 |
|---|
| Out-commuting rate (%) | 33.53 |
|---|
| Commuting attraction index | 0.688 |
|---|
| Median commuting time | 40 min |
|---|
Open Santa Inês/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]: Santa Inês/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-ines-pr-4123600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.