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

Migration in São Benedito do Rio Preto/MA (2017–2022)

São Benedito do Rio Preto/MA had a reference population (aged 5 or over in 2022) of 16,765 people. In the 2017–2022 five-year period, the municipality received 730 in-migrants and lost 1,345 out-migrants to other municipalities in Brazil, resulting in a net migration of −615 people (−36.70 per 1,000 population) and a migration effectiveness index (IEM) of −0.297. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for São Benedito do Rio Preto/MA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants730502 to 958use with caution
Out-migrants1,345962 to 1,728good
Net migration−615−1,061 to −169not classified
Net migration rate, TLM (per 1,000 pop.)−36.70--
Migration effectiveness index (IEM)−0.297--

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 São Benedito do Rio Preto/MA
OriginPeoplePrecision
São Luís/MA · view pair in the atlas260use with caution
Chapadinha/MA · view pair in the atlas80low precision
Belágua/MA · view pair in the atlas40low precision
Brasília/DF · view pair in the atlas30low precision
Vargem Grande/MA · view pair in the atlas25low precision
Top 10 destinations of out-migrants from São Benedito do Rio Preto/MA
DestinationPeoplePrecision
São Luís/MA · view pair in the atlas190low precision
Urbano Santos/MA · view pair in the atlas110low precision
São José de Ribamar/MA · view pair in the atlas95low precision
Chapadinha/MA · view pair in the atlas90low precision
Nina Rodrigues/MA · view pair in the atlas60low precision
Rio Verde/GO · view pair in the atlas55low precision
Belágua/MA · view pair in the atlas45low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth33545.9%50-99
Return to municipality of birth29039.7%50-99
Multi-step migration10514.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education15040.5%20-49
No schooling or incomplete elementary10528.4%20-49
Completed elementary, incomplete high school8523.0%5-19
Completed higher education308.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage35549.0%50-99
¼ to ½ minimum wage21029.0%20-49
1 to 2 minimum wages709.7%5-19
½ to 1 minimum wage608.3%5-19
More than 2 minimum wages304.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13017.8%20-49
Ages 15–24, male10514.4%20-49
Ages 25–39, male10514.4%20-49
Ages 5–14, male9513.0%5-19
Ages 15–24, female8511.6%5-19
Ages 5–14, female709.6%5-19
Ages 40–59, male506.8%5-19
Ages 40–59, female405.5%5-19
Ages 60 and over, male253.4%5-19
Other / suppressed253.4%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth91568.0%50-99
Multi-step migration26019.3%20-49
Return to municipality of birth17012.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary28547.9%20-49
Completed high school, incomplete higher education22037.0%20-49
Completed elementary, incomplete high school6010.1%5-19
Other / suppressed305.0%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage50037.2%50-99
½ to 1 minimum wage46034.2%20-49
Up to ¼ of a minimum wage23517.5%20-49
1 to 2 minimum wages14010.4%5-19
Other / suppressed100.7%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female32023.8%20-49
Ages 25–39, female27520.4%20-49
Ages 15–24, male17513.0%5-19
Ages 5–14, female16512.3%5-19
Ages 25–39, male15011.2%5-19
Ages 40–59, female957.1%5-19
Ages 5–14, male906.7%5-19
Ages 40–59, male403.0%5-19
Other / suppressed352.6%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,07056.4%>=500
Completed high school, incomplete higher education2,49027.7%100-499
Completed elementary, incomplete high school1,11012.3%100-499
Completed higher education3203.6%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage9,93556.3%>=500
¼ to ½ minimum wage4,27524.2%>=500
½ to 1 minimum wage2,22012.6%100-499
1 to 2 minimum wages1,0556.0%100-499
More than 2 minimum wages1500.9%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, male1,87011.7%100-499
Ages 5–14, male1,84511.5%100-499
Ages 25–39, female1,84511.5%100-499
Ages 15–24, male1,80011.2%100-499
Ages 15–24, female1,70510.6%100-499
Ages 5–14, female1,69510.6%100-499
Ages 40–59, male1,68510.5%100-499
Ages 40–59, female1,60510.0%100-499
Ages 60 and over, female1,0456.5%100-499
Ages 60 and over, male9405.9%100-499

Commuting (work and study)

Commuting indicators for São Benedito do Rio Preto/MA
Employed persons (aged 10 and over)2,860
Commute out to work in another municipality140
Commute in from another municipality to work here160
Net commuting+25
Out-commuting rate (%)4.81
Commuting attraction index0.999
Median commuting time60 min

Open São Benedito do Rio Preto/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]: São Benedito do Rio Preto/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-benedito-do-rio-preto-ma-2110401/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.