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

Migration in Arapoema/TO (2017–2022)

Arapoema/TO had a reference population (aged 5 or over in 2022) of 5,150 people. In the 2017–2022 five-year period, the municipality received 380 in-migrants and lost 780 out-migrants to other municipalities in Brazil, resulting in a net migration of −400 people (−77.69 per 1,000 population) and a migration effectiveness index (IEM) of −0.346. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Arapoema/TO, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants380272 to 488good
Out-migrants780540 to 1,020use with caution
Net migration−400−663 to −137not classified
Net migration rate, TLM (per 1,000 pop.)−77.69--
Migration effectiveness index (IEM)−0.346--

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 Arapoema/TO
OriginPeoplePrecision
Araguaína/TO · view pair in the atlas40low precision
Colinas do Tocantins/TO · view pair in the atlas40low precision
Floresta do Araguaia/PA · view pair in the atlas40low precision
Palmas/TO · view pair in the atlas30low precision
Bandeirantes do Tocantins/TO · view pair in the atlas25low precision
Brasília/DF · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Arapoema/TO
DestinationPeoplePrecision
Colinas do Tocantins/TO · view pair in the atlas130low precision
Araguaína/TO · view pair in the atlas80low precision
Canaã dos Carajás/PA · view pair in the atlas80low precision
Bernardo Sayão/TO · view pair in the atlas55low precision
Pau D'Arco/TO · view pair in the atlas45low precision
Bandeirantes do Tocantins/TO · view pair in the atlas40low precision
Pequizeiro/TO · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration21557.3%50-99
First move from municipality of birth11530.7%20-49
Return to municipality of birth4512.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8041.0%20-49
Completed high school, incomplete higher education5528.2%5-19
Completed elementary, incomplete high school4020.5%5-19
Completed higher education2010.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage13535.5%20-49
½ to 1 minimum wage13034.2%20-49
Up to ¼ of a minimum wage5013.2%5-19
1 to 2 minimum wages359.2%5-19
More than 2 minimum wages307.9%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female7018.9%20-49
Ages 25–39, female6016.2%5-19
Ages 40–59, male5013.5%5-19
Ages 15–24, male4010.8%5-19
Ages 25–39, male359.5%5-19
Ages 5–14, female359.5%5-19
Ages 40–59, female308.1%5-19
Ages 5–14, male308.1%5-19
Ages 60 and over, female154.1%5-19
Other / suppressed51.4%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration36547.1%50-99
First move from municipality of birth30038.7%20-49
Return to municipality of birth11014.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education18542.0%20-49
No schooling or incomplete elementary15034.1%20-49
Completed higher education8018.2%5-19
Completed elementary, incomplete high school255.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage28536.8%20-49
½ to 1 minimum wage21527.7%20-49
1 to 2 minimum wages10513.5%5-19
More than 2 minimum wages9011.6%5-19
Up to ¼ of a minimum wage709.0%5-19
Other / suppressed101.3%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female12015.4%5-19
Ages 40–59, male12015.4%5-19
Ages 40–59, female12015.4%5-19
Ages 25–39, female9011.5%5-19
Ages 15–24, male8510.9%5-19
Ages 5–14, male709.0%5-19
Ages 5–14, female709.0%5-19
Ages 25–39, male607.7%5-19
Ages 60 and over, female253.2%5-19
Other / suppressed202.6%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,65551.3%>=500
Completed high school, incomplete higher education89027.6%100-499
Completed higher education34510.7%100-499
Completed elementary, incomplete high school33510.4%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,85535.8%>=500
¼ to ½ minimum wage1,45528.1%100-499
1 to 2 minimum wages83516.1%100-499
Up to ¼ of a minimum wage70013.5%100-499
More than 2 minimum wages3306.4%100-499
Age and sex
CategoryEstimateShareSample
Ages 40–59, male71515.0%100-499
Ages 40–59, female68514.3%100-499
Ages 25–39, female52010.9%100-499
Ages 25–39, male51010.7%100-499
Ages 15–24, male4309.0%100-499
Ages 60 and over, male4108.6%100-499
Ages 5–14, male4058.5%100-499
Ages 60 and over, female3908.2%100-499
Ages 5–14, female3557.4%100-499
Ages 15–24, female3557.4%100-499

Commuting (work and study)

Commuting indicators for Arapoema/TO
Employed persons (aged 10 and over)2,090
Commute out to work in another municipality60
Commute in from another municipality to work here165
Net commuting+105
Out-commuting rate (%)2.88
Commuting attraction index1.045
Median commuting time105 min

Open Arapoema/TO 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]: Arapoema/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/arapoema-to-1702307/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.