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

Migration in Santa Rita/MA (2017–2022)

Santa Rita/MA had a reference population (aged 5 or over in 2022) of 34,100 people. In the 2017–2022 five-year period, the municipality received 1,010 in-migrants and lost 1,795 out-migrants to other municipalities in Brazil, resulting in a net migration of −785 people (−23.03 per 1,000 population) and a migration effectiveness index (IEM) of −0.280. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Santa Rita/MA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,010681 to 1,339use with caution
Out-migrants1,7951,348 to 2,242good
Net migration−785−1,340 to −230not classified
Net migration rate, TLM (per 1,000 pop.)−23.03--
Migration effectiveness index (IEM)−0.280--

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 Santa Rita/MA
OriginPeoplePrecision
São Luís/MA · view pair in the atlas425use with caution
Anajatuba/MA · view pair in the atlas60low precision
Rosário/MA · view pair in the atlas50low precision
Itapecuru Mirim/MA · view pair in the atlas45low precision
Bacabeira/MA · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Santa Rita/MA
DestinationPeoplePrecision
São Luís/MA · view pair in the atlas265low precision
Itapecuru Mirim/MA · view pair in the atlas170low precision
São José de Ribamar/MA · view pair in the atlas75low precision
Bacabeira/MA · view pair in the atlas65low precision
Paço do Lumiar/MA · view pair in the atlas55low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth50550.0%50-99
Multi-step migration30530.2%20-49
Return to municipality of birth20019.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary33057.9%20-49
Completed high school, incomplete higher education13022.8%5-19
Completed elementary, incomplete high school6010.5%5-19
Completed higher education508.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage47547.0%50-99
Up to ¼ of a minimum wage26025.7%20-49
¼ to ½ minimum wage13513.4%20-49
1 to 2 minimum wages656.4%5-19
More than 2 minimum wages555.4%5-19
Other / suppressed202.0%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female17016.9%20-49
Ages 15–24, male14013.9%5-19
Ages 40–59, female13513.4%5-19
Ages 40–59, male13513.4%5-19
Ages 25–39, female10010.0%5-19
Ages 60 and over, female757.5%5-19
Ages 25–39, male757.5%5-19
Ages 5–14, male656.5%5-19
Ages 5–14, female606.0%5-19
Ages 60 and over, male505.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth99555.4%50-99
Multi-step migration50528.1%50-99
Return to municipality of birth29516.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education37536.8%20-49
No schooling or incomplete elementary37036.3%20-49
Completed elementary, incomplete high school19519.1%5-19
Completed higher education807.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage59533.2%50-99
¼ to ½ minimum wage42023.5%20-49
Up to ¼ of a minimum wage31017.3%20-49
1 to 2 minimum wages23513.1%20-49
More than 2 minimum wages21512.0%20-49
Other / suppressed150.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male33518.6%20-49
Ages 25–39, female33018.3%20-49
Ages 5–14, female25013.9%20-49
Ages 15–24, female23513.1%20-49
Ages 5–14, male1558.6%5-19
Ages 15–24, male1407.8%5-19
Ages 40–59, male1407.8%5-19
Ages 40–59, female1055.8%5-19
Ages 60 and over, female1005.6%5-19
Other / suppressed100.6%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10,10049.6%>=500
Completed high school, incomplete higher education5,84028.7%>=500
Completed elementary, incomplete high school3,69018.1%100-499
Completed higher education7503.7%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage12,18033.8%>=500
¼ to ½ minimum wage10,31028.6%>=500
½ to 1 minimum wage10,10528.0%>=500
1 to 2 minimum wages2,6357.3%100-499
More than 2 minimum wages7802.2%50-99
Other / suppressed150.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female4,61513.9%>=500
Ages 25–39, male4,51013.6%>=500
Ages 40–59, female3,80011.5%100-499
Ages 40–59, male3,65511.0%100-499
Ages 5–14, male3,37010.2%100-499
Ages 5–14, female3,2559.8%100-499
Ages 15–24, male3,1259.4%100-499
Ages 15–24, female2,9608.9%100-499
Ages 60 and over, female1,9455.9%100-499
Ages 60 and over, male1,8605.6%100-499

Commuting (work and study)

Commuting indicators for Santa Rita/MA
Employed persons (aged 10 and over)10,350
Commute out to work in another municipality1,360
Commute in from another municipality to work here525
Net commuting−835
Out-commuting rate (%)13.16
Commuting attraction index0.857
Median commuting time120 min

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

Open Santa Rita/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]: Santa Rita/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-rita-ma-2110203/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.