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

Migration in Presidente Juscelino/MA (2017–2022)

Presidente Juscelino/MA had a reference population (aged 5 or over in 2022) of 10,255 people. In the 2017–2022 five-year period, the municipality received 530 in-migrants and lost 1,230 out-migrants to other municipalities in Brazil, resulting in a net migration of −700 people (−68.12 per 1,000 population) and a migration effectiveness index (IEM) of −0.398. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Presidente Juscelino/MA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants530374 to 686use with caution
Out-migrants1,230800 to 1,660use with caution
Net migration−700−1,157 to −243not classified
Net migration rate, TLM (per 1,000 pop.)−68.12--
Migration effectiveness index (IEM)−0.398--

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 Presidente Juscelino/MA
OriginPeoplePrecision
São Luís/MA · view pair in the atlas235use with caution
Rosário/MA · view pair in the atlas40low precision
Itapecuru Mirim/MA · view pair in the atlas40low precision
Axixá/MA · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Presidente Juscelino/MA
DestinationPeoplePrecision
São Luís/MA · view pair in the atlas225low precision
Rio Verde/GO · view pair in the atlas145low precision
São José de Ribamar/MA · view pair in the atlas85low precision
Morros/MA · view pair in the atlas35low precision
Cachoeira Grande/MA · view pair in the atlas35low precision
Axixá/MA · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth23544.3%20-49
First move from municipality of birth17533.0%20-49
Multi-step migration12022.6%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education16552.4%20-49
Completed elementary, incomplete high school8527.0%5-19
No schooling or incomplete elementary3511.1%5-19
Completed higher education309.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage16531.1%20-49
Up to ¼ of a minimum wage16531.1%20-49
½ to 1 minimum wage11521.7%5-19
1 to 2 minimum wages5510.4%5-19
More than 2 minimum wages305.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male14026.7%20-49
Ages 25–39, female9017.1%20-49
Ages 15–24, female7514.3%5-19
Ages 5–14, male5510.5%5-19
Ages 5–14, female458.6%5-19
Ages 15–24, male407.6%5-19
Ages 40–59, male305.7%5-19
Ages 40–59, female254.8%5-19
Other / suppressed254.8%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth98079.7%50-99
Multi-step migration20016.3%20-49
Return to municipality of birth504.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education27048.2%20-49
Completed elementary, incomplete high school13023.2%5-19
No schooling or incomplete elementary12021.4%5-19
Other / suppressed407.1%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage43035.0%20-49
½ to 1 minimum wage33026.8%20-49
Up to ¼ of a minimum wage23519.1%20-49
1 to 2 minimum wages20016.3%5-19
Other / suppressed352.8%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male25020.3%20-49
Ages 15–24, female24519.9%20-49
Ages 25–39, male22518.3%5-19
Ages 25–39, female20016.3%20-49
Ages 5–14, male1159.3%5-19
Ages 40–59, male806.5%5-19
Ages 5–14, female554.5%5-19
Ages 40–59, female504.1%5-19
Other / suppressed100.8%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,93552.9%>=500
Completed high school, incomplete higher education1,39525.2%100-499
Completed elementary, incomplete high school82514.9%100-499
Completed higher education3907.0%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage4,89045.2%>=500
¼ to ½ minimum wage3,05528.2%>=500
½ to 1 minimum wage2,22020.5%100-499
1 to 2 minimum wages5304.9%100-499
More than 2 minimum wages1301.2%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, female1,14011.7%100-499
Ages 15–24, male1,13511.7%100-499
Ages 25–39, male1,12511.6%100-499
Ages 40–59, male1,09511.3%100-499
Ages 5–14, male1,09011.2%100-499
Ages 40–59, female1,05010.8%100-499
Ages 15–24, female99510.2%100-499
Ages 5–14, female9509.8%100-499
Ages 60 and over, female5806.0%100-499
Ages 60 and over, male5605.8%100-499

Commuting (work and study)

Commuting indicators for Presidente Juscelino/MA
Employed persons (aged 10 and over)2,935
Commute out to work in another municipality200
Commute in from another municipality to work here230
Net commuting+30
Out-commuting rate (%)6.76
Commuting attraction index1.003
Median commuting time60 min

This municipality is part of Região Metropolitana da Grande São Luís → see the metropolitan region page

Open Presidente Juscelino/MA 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]: Presidente Juscelino/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/presidente-juscelino-ma-2109205/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.