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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Curimatá/PI (2017–2022)

Curimatá/PI had a reference population (aged 5 or over in 2022) of 10,425 people. In the 2017–2022 five-year period, the municipality received 465 in-migrants and lost 570 out-migrants to other municipalities in Brazil, resulting in a net migration of −100 people (−9.83 per 1,000 population) and a migration effectiveness index (IEM) of −0.099. This classifies the municipality, for the period, as one of migratory depletion. In addition, 25 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Curimatá/PI, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants465337 to 593good
Out-migrants570353 to 787use with caution
Net migration−100−352 to 152not classified
Net migration rate, TLM (per 1,000 pop.)−9.83--
Migration effectiveness index (IEM)−0.099--

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Curimatá/PI
OriginPeoplePrecision
Brasília/DF · view pair in the atlas170use with caution
Teresina/PI · view pair in the atlas50low precision
Parnaguá/PI · view pair in the atlas45low precision
Top 10 destinations of out-migrants from Curimatá/PI
DestinationPeoplePrecision
Brasília/DF · view pair in the atlas160low precision
Parnaguá/PI · view pair in the atlas55low precision
Redenção do Gurguéia/PI · view pair in the atlas25low precision
Júlio Borges/PI · view pair in the atlas20low precision
Morro Cabeça no Tempo/PI · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth25554.3%20-49
First move from municipality of birth14530.9%20-49
Multi-step migration7014.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10533.3%20-49
Completed high school, incomplete higher education9530.2%5-19
Completed higher education8527.0%5-19
Completed elementary, incomplete high school309.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage17037.0%20-49
½ to 1 minimum wage12527.2%20-49
1 to 2 minimum wages7516.3%5-19
¼ to ½ minimum wage6013.0%5-19
More than 2 minimum wages306.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female8518.1%5-19
Ages 25–39, male7516.0%5-19
Ages 5–14, female6012.8%5-19
Ages 40–59, female6012.8%5-19
Ages 15–24, female5010.6%5-19
Ages 40–59, male5010.6%5-19
Ages 60 and over, male357.4%5-19
Ages 15–24, male306.4%5-19
Other / suppressed255.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth42575.2%50-99
Multi-step migration9516.8%5-19
Return to municipality of birth458.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9038.3%5-19
Completed high school, incomplete higher education6025.5%5-19
Other / suppressed4519.1%<5
Completed elementary, incomplete high school4017.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage16028.3%20-49
½ to 1 minimum wage15527.4%5-19
1 to 2 minimum wages12522.1%5-19
More than 2 minimum wages6511.5%5-19
¼ to ½ minimum wage6010.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, male13523.5%5-19
Ages 15–24, female12521.7%5-19
Ages 25–39, male9015.7%5-19
Ages 25–39, female7012.2%5-19
Other / suppressed457.8%5-19
Ages 5–14, female407.0%5-19
Ages 5–14, male407.0%5-19
Ages 40–59, male305.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,58056.0%>=500
Completed high school, incomplete higher education1,43522.4%100-499
Completed elementary, incomplete high school83013.0%100-499
Completed higher education5508.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage3,78535.1%>=500
¼ to ½ minimum wage3,07028.5%>=500
½ to 1 minimum wage2,69525.0%>=500
1 to 2 minimum wages9208.5%100-499
More than 2 minimum wages3002.8%50-99
Other / suppressed50.0%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,31013.2%100-499
Ages 40–59, female1,24012.5%100-499
Ages 25–39, female1,09011.0%100-499
Ages 25–39, male1,08510.9%100-499
Ages 15–24, male1,00010.1%100-499
Ages 60 and over, female8658.7%100-499
Ages 15–24, female8508.6%100-499
Ages 5–14, male8458.5%100-499
Ages 5–14, female8358.4%100-499
Ages 60 and over, male8058.1%100-499

Commuting (work and study)

Commuting indicators for Curimatá/PI
Employed persons (aged 10 and over)2,450
Commute out to work in another municipality80
Commute in from another municipality to work here105
Net commuting+25
Out-commuting rate (%)3.20
Commuting attraction index0.991
Median commuting time30 min

Open Curimatá/PI 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]: Curimatá/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/curimata-pi-2203206/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.