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

Migration in Chapada/RS (2017–2022)

Chapada/RS had a reference population (aged 5 or over in 2022) of 9,025 people. In the 2017–2022 five-year period, the municipality received 700 in-migrants and lost 525 out-migrants to other municipalities in Brazil, resulting in a net migration of +175 people (19.24 per 1,000 population) and a migration effectiveness index (IEM) of 0.141. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 60 came from abroad.

Indicators

Migration indicators for Chapada/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants700535 to 865good
Out-migrants525353 to 697use with caution
Net migration+175−64 to 414not classified
Net migration rate, TLM (per 1,000 pop.)19.24--
Migration effectiveness index (IEM)0.141--

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 Chapada/RS
OriginPeoplePrecision
Carazinho/RS · view pair in the atlas95low precision
Novo Barreiro/RS · view pair in the atlas70low precision
Palmeira das Missões/RS · view pair in the atlas60low precision
Sarandi/RS · view pair in the atlas30low precision
Passo Fundo/RS · view pair in the atlas25low precision
Erechim/RS · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Chapada/RS
DestinationPeoplePrecision
Passo Fundo/RS · view pair in the atlas120low precision
Carazinho/RS · view pair in the atlas60low precision
Almirante Tamandaré do Sul/RS · view pair in the atlas45low precision
Nova Boa Vista/RS · view pair in the atlas15low precision
Novo Barreiro/RS · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration28541.0%50-99
First move from municipality of birth26037.4%20-49
Return to municipality of birth15021.6%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education15033.0%20-49
Completed higher education11024.2%20-49
No schooling or incomplete elementary10022.0%20-49
Completed elementary, incomplete high school9520.9%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage25035.7%20-49
1 to 2 minimum wages22031.4%20-49
More than 2 minimum wages13519.3%20-49
¼ to ½ minimum wage659.3%5-19
Up to ¼ of a minimum wage253.6%5-19
Other / suppressed50.7%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male13519.4%20-49
Ages 25–39, female12518.0%20-49
Ages 15–24, female9513.7%5-19
Ages 5–14, male7010.1%5-19
Ages 40–59, female7010.1%5-19
Ages 40–59, male608.6%5-19
Ages 15–24, male507.2%5-19
Ages 60 and over, male355.0%5-19
Ages 5–14, female304.3%5-19
Ages 60 and over, female253.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth32561.3%50-99
Multi-step migration18034.0%20-49
Return to municipality of birth254.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education13034.2%20-49
Completed elementary, incomplete high school11530.3%5-19
No schooling or incomplete elementary7519.7%5-19
Completed higher education6015.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages23543.9%20-49
More than 2 minimum wages14026.2%20-49
½ to 1 minimum wage11521.5%20-49
Up to ¼ of a minimum wage254.7%5-19
¼ to ½ minimum wage203.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male10019.2%5-19
Ages 15–24, female7013.5%5-19
Ages 40–59, male6011.5%5-19
Ages 40–59, female5510.6%5-19
Ages 25–39, female5510.6%5-19
Ages 60 and over, male5510.6%5-19
Ages 60 and over, female509.6%5-19
Ages 15–24, male458.7%5-19
Ages 5–14, female203.8%5-19
Other / suppressed101.9%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,37552.2%>=500
Completed high school, incomplete higher education1,56524.2%100-499
Completed elementary, incomplete high school88513.7%100-499
Completed higher education64510.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages3,19036.4%>=500
½ to 1 minimum wage2,96533.8%>=500
More than 2 minimum wages1,68019.2%100-499
¼ to ½ minimum wage7158.2%100-499
Up to ¼ of a minimum wage1952.2%20-49
Other / suppressed200.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,32016.0%100-499
Ages 60 and over, female1,26015.3%100-499
Ages 40–59, male1,18014.3%100-499
Ages 60 and over, male1,05012.7%100-499
Ages 25–39, male83010.1%100-499
Ages 25–39, female83010.1%100-499
Ages 15–24, male4905.9%50-99
Ages 5–14, female4355.3%50-99
Ages 5–14, male4305.2%50-99
Ages 15–24, female4205.1%50-99

Commuting (work and study)

Commuting indicators for Chapada/RS
Employed persons (aged 10 and over)4,835
Commute out to work in another municipality175
Commute in from another municipality to work here130
Net commuting−45
Out-commuting rate (%)3.66
Commuting attraction index0.980
Median commuting time35 min

Open Chapada/RS 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]: Chapada/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/chapada-rs-4305306/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.