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

Migration in Mariana Pimentel/RS (2017–2022)

Mariana Pimentel/RS had a reference population (aged 5 or over in 2022) of 3,725 people. In the 2017–2022 five-year period, the municipality received 485 in-migrants and lost 260 out-migrants to other municipalities in Brazil, resulting in a net migration of +225 people (60.25 per 1,000 population) and a migration effectiveness index (IEM) of 0.301. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Mariana Pimentel/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants485363 to 607good
Out-migrants260147 to 373use with caution
Net migration+22559 to 391not classified
Net migration rate, TLM (per 1,000 pop.)60.25--
Migration effectiveness index (IEM)0.301--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Mariana Pimentel/RS
OriginPeoplePrecision
Porto Alegre/RS · view pair in the atlas130low precision
Guaíba/RS · view pair in the atlas80use with caution
Alvorada/RS · view pair in the atlas35low precision
Sertão Santana/RS · view pair in the atlas30low precision
Barão do Triunfo/RS · view pair in the atlas20low precision
Canoas/RS · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Mariana Pimentel/RS
DestinationPeoplePrecision
Barra do Ribeiro/RS · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth24049.0%50-99
Multi-step migration21042.9%50-99
Return to municipality of birth357.1%5-19
Other / suppressed51.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14542.6%20-49
Completed high school, incomplete higher education9527.9%20-49
Completed elementary, incomplete high school6017.6%20-49
Completed higher education4011.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage13026.8%20-49
¼ to ½ minimum wage13026.8%20-49
More than 2 minimum wages9018.6%20-49
1 to 2 minimum wages8517.5%20-49
Up to ¼ of a minimum wage5010.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male7515.6%20-49
Ages 60 and over, female6012.5%20-49
Ages 25–39, male6012.5%20-49
Ages 25–39, female5511.5%5-19
Ages 5–14, male5010.4%5-19
Ages 40–59, female459.4%5-19
Ages 5–14, female408.3%5-19
Ages 60 and over, male408.3%5-19
Ages 15–24, female306.2%5-19
Ages 15–24, male255.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration20076.9%20-49
First move from municipality of birth4517.3%5-19
Other / suppressed155.8%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education9050.0%5-19
No schooling or incomplete elementary5027.8%5-19
Completed elementary, incomplete high school3016.7%5-19
Other / suppressed105.6%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages9034.6%5-19
½ to 1 minimum wage4517.3%5-19
Other / suppressed4517.3%5-19
¼ to ½ minimum wage4517.3%5-19
More than 2 minimum wages3513.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male5019.2%5-19
Other / suppressed4517.3%5-19
Ages 25–39, female4517.3%5-19
Ages 25–39, male3513.5%5-19
Ages 40–59, female3513.5%5-19
Ages 5–14, male259.6%5-19
Ages 5–14, female259.6%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,50559.8%>=500
Completed high school, incomplete higher education49519.7%100-499
Completed elementary, incomplete high school33513.3%100-499
Completed higher education1807.2%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,33038.7%100-499
1 to 2 minimum wages1,09031.7%100-499
¼ to ½ minimum wage56516.4%100-499
More than 2 minimum wages3058.9%100-499
Up to ¼ of a minimum wage1454.2%20-49
Age and sex
CategoryEstimateShareSample
Ages 60 and over, male52516.2%100-499
Ages 60 and over, female48014.8%100-499
Ages 40–59, male46014.2%100-499
Ages 40–59, female46014.2%100-499
Ages 25–39, male3009.3%100-499
Ages 25–39, female2909.0%100-499
Ages 15–24, male2056.3%50-99
Ages 15–24, female1956.0%50-99
Ages 5–14, male1655.1%50-99
Ages 5–14, female1604.9%50-99

Commuting (work and study)

Commuting indicators for Mariana Pimentel/RS
Employed persons (aged 10 and over)1,675
Commute out to work in another municipality205
Commute in from another municipality to work here50
Net commuting−155
Out-commuting rate (%)12.22
Commuting attraction index0.877
Median commuting time45 min

Open Mariana Pimentel/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]: Mariana Pimentel/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mariana-pimentel-rs-4311981/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.