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

Migration in Dom Expedito Lopes/PI (2017–2022)

Dom Expedito Lopes/PI had a reference population (aged 5 or over in 2022) of 5,990 people. In the 2017–2022 five-year period, the municipality received 330 in-migrants and lost 305 out-migrants to other municipalities in Brazil, resulting in a net migration of +25 people (4.19 per 1,000 population) and a migration effectiveness index (IEM) of 0.040. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Dom Expedito Lopes/PI, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants330244 to 416good
Out-migrants305152 to 458use with caution
Net migration+25−151 to 201not classified
Net migration rate, TLM (per 1,000 pop.)4.19--
Migration effectiveness index (IEM)0.040--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Dom Expedito Lopes/PI
OriginPeoplePrecision
Picos/PI · view pair in the atlas40low precision
Teresina/PI · view pair in the atlas35low precision
São Bernardo do Campo/SP · view pair in the atlas20low precision
São Paulo/SP · view pair in the atlas20low precision
Ipiranga do Piauí/PI · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Dom Expedito Lopes/PI
DestinationPeoplePrecision
Picos/PI · view pair in the atlas145low precision
Paquetá/PI · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth15547.0%50-99
Return to municipality of birth9027.3%20-49
Multi-step migration8525.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11045.8%20-49
Completed high school, incomplete higher education6527.1%20-49
Completed elementary, incomplete high school4016.7%5-19
Completed higher education2510.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage14544.6%50-99
Up to ¼ of a minimum wage8526.2%20-49
¼ to ½ minimum wage6520.0%20-49
1 to 2 minimum wages206.2%5-19
Other / suppressed103.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female7021.5%20-49
Ages 40–59, female5015.4%5-19
Ages 25–39, male4513.8%5-19
Ages 40–59, male3510.8%5-19
Ages 60 and over, male309.2%5-19
Ages 5–14, female257.7%5-19
Ages 15–24, male257.7%5-19
Ages 15–24, female206.2%5-19
Ages 5–14, male154.6%5-19
Other / suppressed103.1%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth14547.5%20-49
Multi-step migration8527.9%5-19
Return to municipality of birth7524.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11559.0%5-19
Completed elementary, incomplete high school3015.4%5-19
Completed higher education3015.4%5-19
Other / suppressed2010.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage11537.7%5-19
½ to 1 minimum wage11036.1%5-19
Other / suppressed4514.8%5-19
More than 2 minimum wages3511.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male5016.4%5-19
Ages 5–14, female4514.8%5-19
Ages 25–39, male4514.8%5-19
Ages 15–24, female4514.8%5-19
Other / suppressed4514.8%5-19
Ages 40–59, female4013.1%5-19
Ages 25–39, female3511.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,22054.3%>=500
Completed high school, incomplete higher education81019.8%100-499
Completed elementary, incomplete high school54013.2%100-499
Completed higher education51512.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,10535.2%>=500
¼ to ½ minimum wage1,58026.4%>=500
Up to ¼ of a minimum wage1,14019.1%100-499
1 to 2 minimum wages94515.8%100-499
More than 2 minimum wages2103.5%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female88515.7%100-499
Ages 40–59, male81514.4%100-499
Ages 25–39, male66011.7%100-499
Ages 60 and over, female60010.6%100-499
Ages 25–39, female60010.6%100-499
Ages 60 and over, male5259.3%100-499
Ages 15–24, male4357.7%100-499
Ages 15–24, female4157.4%100-499
Ages 5–14, female3606.4%100-499
Ages 5–14, male3506.2%100-499

Commuting (work and study)

Commuting indicators for Dom Expedito Lopes/PI
Employed persons (aged 10 and over)2,230
Commute out to work in another municipality200
Commute in from another municipality to work here115
Net commuting−85
Out-commuting rate (%)8.92
Commuting attraction index0.954
Median commuting time30 min

Open Dom Expedito Lopes/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]: Dom Expedito Lopes/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/dom-expedito-lopes-pi-2203404/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.