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

Migration in Arame/MA (2017–2022)

Arame/MA had a reference population (aged 5 or over in 2022) of 23,120 people. In the 2017–2022 five-year period, the municipality received 925 in-migrants and lost 2,540 out-migrants to other municipalities in Brazil, resulting in a net migration of −1,615 people (−69.80 per 1,000 population) and a migration effectiveness index (IEM) of −0.466. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Arame/MA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants925654 to 1,196good
Out-migrants2,5402,028 to 3,052good
Net migration−1,615−2,195 to −1,035not classified
Net migration rate, TLM (per 1,000 pop.)−69.80--
Migration effectiveness index (IEM)−0.466--

Sample of in-migrants: 50-99 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 Arame/MA
OriginPeoplePrecision
Imperatriz/MA · view pair in the atlas95low precision
Grajaú/MA · view pair in the atlas95low precision
Santa Luzia/MA · view pair in the atlas70low precision
Amarante do Maranhão/MA · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Arame/MA
DestinationPeoplePrecision
Grajaú/MA · view pair in the atlas265low precision
Santa Luzia/MA · view pair in the atlas200low precision
Sorriso/MT · view pair in the atlas130low precision
Lago da Pedra/MA · view pair in the atlas125low precision
Itaipava do Grajaú/MA · view pair in the atlas120low precision
Buriticupu/MA · view pair in the atlas80low precision
Sinop/MT · view pair in the atlas70low precision
Paulo Ramos/MA · view pair in the atlas70low precision
Imperatriz/MA · view pair in the atlas65low precision
Barra do Corda/MA · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth40543.8%20-49
Return to municipality of birth32034.6%20-49
Multi-step migration20021.6%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17540.2%5-19
Completed high school, incomplete higher education15535.6%5-19
Completed elementary, incomplete high school7517.2%5-19
Other / suppressed306.9%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage25027.0%20-49
Up to ¼ of a minimum wage22524.3%20-49
½ to 1 minimum wage21022.7%20-49
1 to 2 minimum wages14515.7%5-19
More than 2 minimum wages9510.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male17518.9%5-19
Ages 5–14, male16017.3%5-19
Ages 15–24, female13014.1%5-19
Ages 25–39, female11512.4%5-19
Ages 15–24, male11011.9%5-19
Ages 5–14, female859.2%5-19
Ages 40–59, male758.1%5-19
Ages 40–59, female505.4%5-19
Other / suppressed252.7%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,51559.8%100-499
Multi-step migration83032.7%100-499
Return to municipality of birth1907.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary69561.0%100-499
Completed elementary, incomplete high school23520.6%20-49
Completed high school, incomplete higher education17515.4%20-49
Completed higher education353.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage1,08542.8%100-499
½ to 1 minimum wage69527.4%50-99
Up to ¼ of a minimum wage46018.1%50-99
1 to 2 minimum wages2509.9%20-49
Other / suppressed451.8%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female39015.4%50-99
Ages 15–24, male36014.2%50-99
Ages 5–14, female32512.8%50-99
Ages 5–14, male32512.8%20-49
Ages 25–39, female30512.0%20-49
Ages 25–39, male29011.4%20-49
Ages 40–59, male2309.1%20-49
Ages 40–59, female1756.9%20-49
Ages 60 and over, female853.3%5-19
Ages 60 and over, male552.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8,16566.0%>=500
Completed elementary, incomplete high school1,73514.0%100-499
Completed high school, incomplete higher education1,61513.1%100-499
Completed higher education8556.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage10,73543.7%>=500
¼ to ½ minimum wage6,58026.8%>=500
½ to 1 minimum wage5,00020.3%>=500
1 to 2 minimum wages1,9307.8%100-499
More than 2 minimum wages3451.4%20-49
Age and sex
CategoryEstimateShareSample
Ages 5–14, male2,59011.7%100-499
Ages 15–24, male2,53511.4%100-499
Ages 25–39, male2,53011.4%100-499
Ages 40–59, male2,48511.2%100-499
Ages 25–39, female2,48511.2%100-499
Ages 5–14, female2,37510.7%100-499
Ages 15–24, female2,32510.5%100-499
Ages 40–59, female2,32510.5%100-499
Ages 60 and over, male1,2955.8%100-499
Ages 60 and over, female1,2455.6%100-499

Commuting (work and study)

Commuting indicators for Arame/MA
Employed persons (aged 10 and over)6,990
Commute out to work in another municipality120
Commute in from another municipality to work here180
Net commuting+60
Out-commuting rate (%)1.73
Commuting attraction index0.990
Median commuting time50 min

Open Arame/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]: Arame/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/arame-ma-2100956/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.