Migration in Teresina/PI (2017–2022)
Teresina/PI had a reference population (aged 5 or over in 2022) of 811,745 people. In the 2017–2022 five-year period, the municipality received 33,555 in-migrants and lost 50,420 out-migrants to other municipalities in Brazil, resulting in a net migration of −16,865 people (−20.78 per 1,000 population) and a migration effectiveness index (IEM) of −0.201. This classifies the municipality, for the period, as one of migratory depletion. In addition, 310 arrived with an unreported origin and 440 came from abroad.
Indicators
Migration indicators for Teresina/PI, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
| In-migrants | 33,555 | 31,147 to 35,963 | good |
| Out-migrants | 50,420 | 48,258 to 52,582 | good |
| Net migration | −16,865 | −20,101 to −13,629 | not classified |
| Net migration rate, TLM (per 1,000 pop.) | −20.78 | - | - |
| Migration effectiveness index (IEM) | −0.201 | - | - |
Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 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 | 15,740 | 46.9% | >=500 |
| Multi-step migration | 9,495 | 28.3% | 100-499 |
| Return to municipality of birth | 8,305 | 24.8% | 100-499 |
| Other / suppressed | 15 | 0.0% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 6,570 | 33.9% | 100-499 |
| Completed higher education | 5,835 | 30.1% | 100-499 |
| No schooling or incomplete elementary | 4,590 | 23.7% | 100-499 |
| Completed elementary, incomplete high school | 2,380 | 12.3% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 10,020 | 29.9% | 100-499 |
| More than 2 minimum wages | 6,805 | 20.3% | 100-499 |
| 1 to 2 minimum wages | 6,385 | 19.0% | 100-499 |
| ¼ to ½ minimum wage | 5,510 | 16.4% | 100-499 |
| Up to ¼ of a minimum wage | 4,365 | 13.0% | 100-499 |
| Not applicable (collective dwelling) | 470 | 1.4% | 20-49 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 5,735 | 17.1% | 100-499 |
| Ages 15–24, female | 5,295 | 15.8% | 100-499 |
| Ages 25–39, male | 5,055 | 15.1% | 100-499 |
| Ages 15–24, male | 4,485 | 13.4% | 100-499 |
| Ages 40–59, male | 3,105 | 9.3% | 100-499 |
| Ages 40–59, female | 2,845 | 8.5% | 100-499 |
| Ages 5–14, female | 2,595 | 7.7% | 100-499 |
| Ages 5–14, male | 1,795 | 5.4% | 50-99 |
| Ages 60 and over, female | 1,680 | 5.0% | 50-99 |
| Ages 60 and over, male | 940 | 2.8% | 20-49 |
| Other / suppressed | 15 | 0.0% | <5 |
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
| First move from municipality of birth | 27,995 | 55.5% | >=500 |
| Multi-step migration | 13,680 | 27.1% | >=500 |
| Return to municipality of birth | 8,720 | 17.3% | >=500 |
| Other / suppressed | 30 | 0.1% | <5 |
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed higher education | 12,510 | 36.8% | >=500 |
| Completed high school, incomplete higher education | 11,305 | 33.2% | >=500 |
| No schooling or incomplete elementary | 6,340 | 18.6% | >=500 |
| Completed elementary, incomplete high school | 3,850 | 11.3% | 100-499 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 13,095 | 26.0% | >=500 |
| 1 to 2 minimum wages | 11,325 | 22.5% | >=500 |
| More than 2 minimum wages | 11,320 | 22.5% | >=500 |
| ¼ to ½ minimum wage | 8,825 | 17.5% | >=500 |
| Up to ¼ of a minimum wage | 5,330 | 10.6% | >=500 |
| Not applicable (collective dwelling) | 520 | 1.0% | 50-99 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 25–39, female | 11,540 | 22.9% | >=500 |
| Ages 25–39, male | 9,740 | 19.3% | >=500 |
| Ages 40–59, female | 5,055 | 10.0% | >=500 |
| Ages 15–24, female | 4,570 | 9.1% | >=500 |
| Ages 40–59, male | 4,510 | 8.9% | >=500 |
| Ages 5–14, male | 4,070 | 8.1% | >=500 |
| Ages 15–24, male | 4,055 | 8.0% | 100-499 |
| Ages 5–14, female | 3,715 | 7.4% | 100-499 |
| Ages 60 and over, female | 1,910 | 3.8% | 100-499 |
| Ages 60 and over, male | 1,255 | 2.5% | 100-499 |
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
| Completed high school, incomplete higher education | 189,770 | 35.0% | >=500 |
| No schooling or incomplete elementary | 149,840 | 27.6% | >=500 |
| Completed higher education | 128,560 | 23.7% | >=500 |
| Completed elementary, incomplete high school | 73,945 | 13.6% | >=500 |
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
| ½ to 1 minimum wage | 265,905 | 32.0% | >=500 |
| ¼ to ½ minimum wage | 188,035 | 22.6% | >=500 |
| 1 to 2 minimum wages | 152,415 | 18.3% | >=500 |
| More than 2 minimum wages | 123,130 | 14.8% | >=500 |
| Up to ¼ of a minimum wage | 100,450 | 12.1% | >=500 |
| Not applicable (collective dwelling) | 2,060 | 0.2% | 50-99 |
Age and sex
| Category | Estimate | Share | Sample |
| Ages 40–59, female | 123,575 | 15.9% | >=500 |
| Ages 25–39, female | 106,030 | 13.6% | >=500 |
| Ages 40–59, male | 98,640 | 12.7% | >=500 |
| Ages 25–39, male | 96,140 | 12.4% | >=500 |
| Ages 60 and over, female | 69,625 | 9.0% | >=500 |
| Ages 15–24, female | 61,930 | 8.0% | >=500 |
| Ages 15–24, male | 61,900 | 8.0% | >=500 |
| Ages 5–14, male | 57,145 | 7.4% | >=500 |
| Ages 5–14, female | 53,770 | 6.9% | >=500 |
| Ages 60 and over, male | 47,345 | 6.1% | >=500 |
| Ages 25–39, sex undetermined | 390 | 0.1% | 20-49 |
| Ages 5–14, sex undetermined | 325 | 0.0% | 5-19 |
| Ages 15–24, sex undetermined | 255 | 0.0% | 5-19 |
| Ages 60 and over, sex undetermined | 195 | 0.0% | 5-19 |
| Ages 40–59, sex undetermined | 180 | 0.0% | 5-19 |
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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]: Teresina/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/teresina-pi-2211001/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.