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

Migration in Matões/MA (2017–2022)

Matões/MA had a reference population (aged 5 or over in 2022) of 29,445 people. In the 2017–2022 five-year period, the municipality received 1,255 in-migrants and lost 1,840 out-migrants to other municipalities in Brazil, resulting in a net migration of −585 people (−19.87 per 1,000 population) and a migration effectiveness index (IEM) of −0.189. This classifies the municipality, for the period, as one of migratory depletion. In addition, 60 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Matões/MA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,255918 to 1,592good
Out-migrants1,8401,314 to 2,366good
Net migration−585−1,209 to 39not classified
Net migration rate, TLM (per 1,000 pop.)−19.87--
Migration effectiveness index (IEM)−0.189--

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 Matões/MA
OriginPeoplePrecision
Parnarama/MA · view pair in the atlas285low precision
Teresina/PI · view pair in the atlas210low precision
Timon/MA · view pair in the atlas130low precision
Caxias/MA · view pair in the atlas120low precision
Brasília/DF · view pair in the atlas95low precision
São Luís/MA · view pair in the atlas40low precision
Top 10 destinations of out-migrants from Matões/MA
DestinationPeoplePrecision
Timon/MA · view pair in the atlas405low precision
Teresina/PI · view pair in the atlas155low precision
Caxias/MA · view pair in the atlas155low precision
Parnarama/MA · view pair in the atlas100low precision
Nazária/PI · view pair in the atlas45low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth56044.6%50-99
Return to municipality of birth45536.3%20-49
Multi-step migration24019.1%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary39555.6%20-49
Completed high school, incomplete higher education17023.9%5-19
Completed elementary, incomplete high school9012.7%5-19
Completed higher education557.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage49539.4%50-99
¼ to ½ minimum wage40532.3%20-49
½ to 1 minimum wage19515.5%5-19
1 to 2 minimum wages1159.2%5-19
More than 2 minimum wages453.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male21016.7%20-49
Ages 25–39, female16513.1%5-19
Ages 5–14, male15512.4%5-19
Ages 40–59, male15012.0%5-19
Ages 15–24, male15012.0%5-19
Ages 5–14, female12510.0%5-19
Ages 40–59, female1209.6%5-19
Ages 15–24, female1159.2%5-19
Other / suppressed655.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration87047.3%50-99
First move from municipality of birth78042.4%50-99
Return to municipality of birth19010.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary48556.4%50-99
Completed high school, incomplete higher education19522.7%20-49
Completed elementary, incomplete high school16519.2%5-19
Other / suppressed151.7%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage74040.2%50-99
½ to 1 minimum wage49026.6%50-99
1 to 2 minimum wages26514.4%20-49
Up to ¼ of a minimum wage26514.4%20-49
More than 2 minimum wages703.8%5-19
Other / suppressed100.5%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male37020.1%20-49
Ages 15–24, female33017.9%20-49
Ages 25–39, male26014.1%20-49
Ages 25–39, female18510.1%20-49
Ages 40–59, male1759.5%5-19
Ages 5–14, female1508.2%5-19
Ages 40–59, female1407.6%5-19
Ages 5–14, male1357.3%5-19
Ages 60 and over, female553.0%5-19
Other / suppressed402.2%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11,31567.5%>=500
Completed high school, incomplete higher education2,77516.6%100-499
Completed elementary, incomplete high school1,6409.8%100-499
Completed higher education1,0306.1%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage12,71041.2%>=500
¼ to ½ minimum wage8,59027.8%>=500
½ to 1 minimum wage6,94522.5%>=500
1 to 2 minimum wages2,1356.9%100-499
More than 2 minimum wages4801.6%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male3,18511.3%100-499
Ages 40–59, female3,18511.3%100-499
Ages 25–39, female3,16011.2%100-499
Ages 25–39, male2,96010.5%100-499
Ages 15–24, male2,92510.4%100-499
Ages 5–14, male2,89510.3%100-499
Ages 15–24, female2,7809.9%100-499
Ages 5–14, female2,7659.8%100-499
Ages 60 and over, female2,1607.7%100-499
Ages 60 and over, male2,1157.5%100-499

Commuting (work and study)

Commuting indicators for Matões/MA
Employed persons (aged 10 and over)7,440
Commute out to work in another municipality615
Commute in from another municipality to work here385
Net commuting−230
Out-commuting rate (%)8.26
Commuting attraction index0.938
Median commuting time60 min

This municipality is part of Região Metropolitana da Zona Leste do Estado do Maranhão → see the metropolitan region page

Open Matões/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]: Matões/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/matoes-ma-2106607/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.