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

Migration in Porto da Folha/SE (2017–2022)

Porto da Folha/SE had a reference population (aged 5 or over in 2022) of 24,650 people. In the 2017–2022 five-year period, the municipality received 1,020 in-migrants and lost 1,795 out-migrants to other municipalities in Brazil, resulting in a net migration of −775 people (−31.44 per 1,000 population) and a migration effectiveness index (IEM) of −0.275. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Porto da Folha/SE, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,020742 to 1,298good
Out-migrants1,7951,329 to 2,261good
Net migration−775−1,318 to −232not classified
Net migration rate, TLM (per 1,000 pop.)−31.44--
Migration effectiveness index (IEM)−0.275--

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

Top origins and destinations

Top 10 origins of in-migrants to Porto da Folha/SE
OriginPeoplePrecision
Aracaju/SE · view pair in the atlas320use with caution
Poço Redondo/SE · view pair in the atlas75low precision
Gararu/SE · view pair in the atlas70low precision
São Paulo/SP · view pair in the atlas50low precision
Top 10 destinations of out-migrants from Porto da Folha/SE
DestinationPeoplePrecision
Aracaju/SE · view pair in the atlas270low precision
Poço Redondo/SE · view pair in the atlas220low precision
Nossa Senhora da Glória/SE · view pair in the atlas185low precision
Monte Alegre de Sergipe/SE · view pair in the atlas105low precision
Nossa Senhora do Socorro/SE · view pair in the atlas105low precision
Itabaiana/SE · view pair in the atlas70low precision
Gararu/SE · view pair in the atlas40low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth60058.8%50-99
Return to municipality of birth22522.1%20-49
Multi-step migration19519.1%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary30547.7%20-49
Completed high school, incomplete higher education20031.2%20-49
Completed elementary, incomplete high school7511.7%5-19
Completed higher education609.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage41540.5%20-49
Up to ¼ of a minimum wage27026.3%20-49
½ to 1 minimum wage23022.4%20-49
More than 2 minimum wages757.3%5-19
Other / suppressed353.4%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female22021.5%20-49
Ages 25–39, male20520.0%20-49
Ages 15–24, female17016.6%5-19
Ages 60 and over, male1009.8%5-19
Ages 5–14, female959.3%5-19
Ages 5–14, male757.3%5-19
Ages 40–59, male605.9%5-19
Ages 40–59, female605.9%5-19
Ages 15–24, male403.9%5-19
Other / suppressed00.0%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,11562.1%100-499
Multi-step migration53529.8%50-99
Return to municipality of birth1458.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary44047.1%50-99
Completed high school, incomplete higher education30532.6%20-49
Completed elementary, incomplete high school10010.7%5-19
Completed higher education909.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage56531.4%50-99
¼ to ½ minimum wage48026.7%50-99
Up to ¼ of a minimum wage33018.3%20-49
1 to 2 minimum wages31017.2%20-49
More than 2 minimum wages1106.1%5-19
Other / suppressed50.3%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female36020.2%20-49
Ages 25–39, female24513.7%20-49
Ages 25–39, male24513.7%20-49
Ages 15–24, male23513.2%20-49
Ages 40–59, male20511.5%20-49
Ages 40–59, female1759.8%5-19
Ages 5–14, male1357.6%5-19
Ages 5–14, female1307.3%5-19
Other / suppressed553.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9,78563.7%>=500
Completed high school, incomplete higher education3,01519.6%100-499
Completed elementary, incomplete high school1,70511.1%100-499
Completed higher education8555.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage10,13539.7%>=500
¼ to ½ minimum wage7,51029.4%>=500
½ to 1 minimum wage5,72522.4%>=500
1 to 2 minimum wages1,5155.9%100-499
More than 2 minimum wages6652.6%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male3,21013.6%100-499
Ages 40–59, female3,11013.2%100-499
Ages 25–39, female2,86512.1%100-499
Ages 25–39, male2,76011.7%100-499
Ages 15–24, male2,2609.6%100-499
Ages 5–14, male2,1559.1%100-499
Ages 5–14, female1,9758.4%100-499
Ages 15–24, female1,8808.0%100-499
Ages 60 and over, female1,8157.7%100-499
Ages 60 and over, male1,6056.8%100-499

Commuting (work and study)

Commuting indicators for Porto da Folha/SE
Employed persons (aged 10 and over)6,230
Commute out to work in another municipality290
Commute in from another municipality to work here375
Net commuting+90
Out-commuting rate (%)4.63
Commuting attraction index0.993
Median commuting time45 min

Open Porto da Folha/SE 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]: Porto da Folha/SE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/porto-da-folha-se-2805604/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.