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

Migration in Senador Alexandre Costa/MA (2017–2022)

Senador Alexandre Costa/MA had a reference population (aged 5 or over in 2022) of 9,250 people. In the 2017–2022 five-year period, the municipality received 575 in-migrants and lost 455 out-migrants to other municipalities in Brazil, resulting in a net migration of +120 people (13.08 per 1,000 population) and a migration effectiveness index (IEM) of 0.117. 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 Senador Alexandre Costa/MA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants575400 to 750use with caution
Out-migrants455291 to 619use with caution
Net migration+120−120 to 360not classified
Net migration rate, TLM (per 1,000 pop.)13.08--
Migration effectiveness index (IEM)0.117--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Senador Alexandre Costa/MA
OriginPeoplePrecision
Caxias/MA · view pair in the atlas125low precision
Governador Eugênio Barros/MA · view pair in the atlas55low precision
Uberaba/MG · view pair in the atlas40low precision
Gonçalves Dias/MA · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Senador Alexandre Costa/MA
DestinationPeoplePrecision
Caxias/MA · view pair in the atlas95low precision
Sorriso/MT · view pair in the atlas80low precision
Ipiranga do Norte/MT · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth22038.3%20-49
Multi-step migration21537.4%20-49
Return to municipality of birth14024.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary15053.6%20-49
Completed high school, incomplete higher education6523.2%5-19
Completed elementary, incomplete high school4014.3%5-19
Completed higher education258.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage21537.7%20-49
¼ to ½ minimum wage18532.5%20-49
½ to 1 minimum wage12021.1%20-49
More than 2 minimum wages407.0%5-19
Other / suppressed101.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female10017.4%20-49
Ages 5–14, male8013.9%5-19
Ages 15–24, female7513.0%5-19
Ages 15–24, male7012.2%5-19
Ages 5–14, female7012.2%5-19
Ages 25–39, male6511.3%5-19
Ages 40–59, male508.7%5-19
Other / suppressed356.1%5-19
Ages 60 and over, male305.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth27560.4%20-49
Multi-step migration14030.8%20-49
Return to municipality of birth408.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11556.1%5-19
Completed elementary, incomplete high school4019.5%5-19
Completed high school, incomplete higher education3014.6%5-19
Other / suppressed209.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages14030.8%20-49
¼ to ½ minimum wage12026.4%20-49
½ to 1 minimum wage10022.0%5-19
Up to ¼ of a minimum wage8017.6%5-19
Other / suppressed153.3%<5
Age and sex
CategoryEstimateShareSample
Ages 5–14, male9520.9%5-19
Ages 25–39, female7516.5%5-19
Ages 15–24, female7015.4%5-19
Ages 25–39, male5011.0%5-19
Ages 40–59, male459.9%5-19
Ages 15–24, male459.9%5-19
Ages 5–14, female408.8%5-19
Other / suppressed357.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,30062.4%>=500
Completed high school, incomplete higher education90017.0%100-499
Completed elementary, incomplete high school67512.8%100-499
Completed higher education4107.8%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage3,19033.1%>=500
¼ to ½ minimum wage2,89530.1%>=500
½ to 1 minimum wage2,50526.0%>=500
1 to 2 minimum wages7908.2%100-499
More than 2 minimum wages2452.5%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,03511.9%100-499
Ages 25–39, female99511.5%100-499
Ages 25–39, male99011.4%100-499
Ages 40–59, male97011.2%100-499
Ages 15–24, male91010.5%100-499
Ages 5–14, male8559.9%100-499
Ages 15–24, female8409.7%100-499
Ages 5–14, female7809.0%100-499
Ages 60 and over, female6707.7%100-499
Ages 60 and over, male6207.2%100-499

Commuting (work and study)

Commuting indicators for Senador Alexandre Costa/MA
Employed persons (aged 10 and over)2,840
Commute out to work in another municipality405
Commute in from another municipality to work here105
Net commuting−305
Out-commuting rate (%)14.33
Commuting attraction index0.848
Median commuting time45 min

Open Senador Alexandre Costa/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]: Senador Alexandre Costa/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/senador-alexandre-costa-ma-2111748/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.