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

Migration in Monsenhor Gil/PI (2017–2022)

Monsenhor Gil/PI had a reference population (aged 5 or over in 2022) of 9,600 people. In the 2017–2022 five-year period, the municipality received 515 in-migrants and lost 695 out-migrants to other municipalities in Brazil, resulting in a net migration of −185 people (−19.06 per 1,000 population) and a migration effectiveness index (IEM) of −0.151. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Monsenhor Gil/PI, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants515374 to 656good
Out-migrants695449 to 941use with caution
Net migration−185−469 to 99not classified
Net migration rate, TLM (per 1,000 pop.)−19.06--
Migration effectiveness index (IEM)−0.151--

Sample of in-migrants: 100-499 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 Monsenhor Gil/PI
OriginPeoplePrecision
Teresina/PI · view pair in the atlas195use with caution
Lagoa do Piauí/PI · view pair in the atlas40low precision
Top 10 destinations of out-migrants from Monsenhor Gil/PI
DestinationPeoplePrecision
Teresina/PI · view pair in the atlas280low precision
Água Branca/PI · view pair in the atlas50low precision
Curralinhos/PI · view pair in the atlas35low precision
Lagoa do Piauí/PI · view pair in the atlas25low precision
Miguel Leão/PI · view pair in the atlas20low precision
Lagoinha do Piauí/PI · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration20539.8%20-49
First move from municipality of birth16532.0%20-49
Return to municipality of birth14528.2%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary15546.3%20-49
Completed high school, incomplete higher education10029.9%20-49
Completed higher education4011.9%5-19
Completed elementary, incomplete high school4011.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage18535.9%20-49
½ to 1 minimum wage13025.2%20-49
Up to ¼ of a minimum wage12023.3%20-49
1 to 2 minimum wages7013.6%5-19
Other / suppressed101.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male11522.1%20-49
Ages 25–39, female7514.4%5-19
Ages 40–59, female7013.5%5-19
Ages 15–24, female6512.5%5-19
Ages 5–14, male509.6%5-19
Ages 40–59, male458.7%5-19
Ages 5–14, female407.7%5-19
Ages 60 and over, female254.8%5-19
Ages 15–24, male254.8%5-19
Other / suppressed101.9%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth39556.8%50-99
Multi-step migration17525.2%20-49
Return to municipality of birth12518.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20541.0%20-49
Completed high school, incomplete higher education16032.0%5-19
Completed elementary, incomplete high school10521.0%5-19
Other / suppressed306.0%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage24535.8%20-49
¼ to ½ minimum wage14521.2%20-49
Up to ¼ of a minimum wage13019.0%20-49
1 to 2 minimum wages8512.4%5-19
More than 2 minimum wages608.8%5-19
Other / suppressed202.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male15522.0%5-19
Ages 25–39, female12017.0%5-19
Ages 60 and over, female11015.6%5-19
Ages 15–24, female8512.1%5-19
Ages 15–24, male659.2%5-19
Ages 40–59, male557.8%5-19
Other / suppressed456.4%5-19
Ages 40–59, female405.7%5-19
Ages 5–14, female304.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,60557.2%>=500
Completed high school, incomplete higher education1,42522.6%100-499
Completed elementary, incomplete high school79512.6%100-499
Completed higher education4807.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,15032.3%>=500
¼ to ½ minimum wage2,79528.7%>=500
Up to ¼ of a minimum wage2,29023.5%100-499
1 to 2 minimum wages1,20512.4%100-499
More than 2 minimum wages3003.1%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,24013.6%100-499
Ages 40–59, male1,20013.2%100-499
Ages 25–39, female1,08511.9%100-499
Ages 60 and over, female98510.8%100-499
Ages 25–39, male92510.2%100-499
Ages 60 and over, male8759.6%100-499
Ages 5–14, female7157.9%100-499
Ages 15–24, female7107.8%100-499
Ages 15–24, male7057.8%100-499
Ages 5–14, male6507.2%100-499

Commuting (work and study)

Commuting indicators for Monsenhor Gil/PI
Employed persons (aged 10 and over)3,545
Commute out to work in another municipality640
Commute in from another municipality to work here130
Net commuting−510
Out-commuting rate (%)18.02
Commuting attraction index0.836
Median commuting time80 min

This municipality is part of Região Integrada de Desenvolvimento da Grande Teresina → see the metropolitan region page

Open Monsenhor Gil/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]: Monsenhor Gil/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/monsenhor-gil-pi-2206407/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.