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

Migration in Pinheiro Machado/RS (2017–2022)

Pinheiro Machado/RS had a reference population (aged 5 or over in 2022) of 10,670 people. In the 2017–2022 five-year period, the municipality received 620 in-migrants and lost 1,090 out-migrants to other municipalities in Brazil, resulting in a net migration of −470 people (−44.06 per 1,000 population) and a migration effectiveness index (IEM) of −0.276. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Pinheiro Machado/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants620462 to 778good
Out-migrants1,090825 to 1,355good
Net migration−470−779 to −161not classified
Net migration rate, TLM (per 1,000 pop.)−44.06--
Migration effectiveness index (IEM)−0.276--

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 Pinheiro Machado/RS
OriginPeoplePrecision
Piratini/RS · view pair in the atlas95low precision
Pelotas/RS · view pair in the atlas85low precision
Bagé/RS · view pair in the atlas85use with caution
Rio Grande/RS · view pair in the atlas80low precision
Candiota/RS · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Pinheiro Machado/RS
DestinationPeoplePrecision
Pelotas/RS · view pair in the atlas310use with caution
Bagé/RS · view pair in the atlas240use with caution
Candiota/RS · view pair in the atlas165low precision
Piratini/RS · view pair in the atlas105low precision
Bento Gonçalves/RS · view pair in the atlas40low precision
Pedras Altas/RS · view pair in the atlas20low precision
Pedro Osório/RS · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth25040.7%20-49
Return to municipality of birth18530.1%20-49
Multi-step migration18029.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education14032.2%20-49
Completed higher education13029.9%20-49
No schooling or incomplete elementary10524.1%20-49
Completed elementary, incomplete high school6013.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages16526.6%20-49
½ to 1 minimum wage15525.0%20-49
Up to ¼ of a minimum wage12019.4%5-19
¼ to ½ minimum wage10516.9%20-49
1 to 2 minimum wages7512.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13522.0%20-49
Ages 25–39, male9014.6%5-19
Ages 40–59, female8013.0%5-19
Ages 15–24, female6510.6%5-19
Ages 40–59, male609.8%5-19
Ages 5–14, female508.1%5-19
Ages 5–14, male457.3%5-19
Ages 60 and over, female355.7%5-19
Ages 60 and over, male304.9%5-19
Ages 15–24, male254.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth59554.8%50-99
Multi-step migration27525.3%20-49
Return to municipality of birth21519.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary19030.4%20-49
Completed high school, incomplete higher education18529.6%20-49
Completed higher education12520.0%5-19
Completed elementary, incomplete high school12520.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage40537.2%20-49
1 to 2 minimum wages26524.3%20-49
More than 2 minimum wages23021.1%20-49
¼ to ½ minimum wage17015.6%20-49
Other / suppressed201.8%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female19518.0%20-49
Ages 25–39, female15514.3%20-49
Ages 15–24, male14513.4%5-19
Ages 25–39, male12511.5%5-19
Ages 40–59, female11010.1%5-19
Ages 40–59, male958.8%5-19
Ages 60 and over, female807.4%5-19
Ages 5–14, female656.0%5-19
Ages 60 and over, male605.5%5-19
Ages 5–14, male555.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,84049.7%>=500
Completed high school, incomplete higher education1,75522.7%100-499
Completed elementary, incomplete high school1,17015.2%100-499
Completed higher education95512.4%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,98037.6%>=500
1 to 2 minimum wages2,67025.2%>=500
¼ to ½ minimum wage1,94518.4%100-499
More than 2 minimum wages1,09510.3%100-499
Up to ¼ of a minimum wage8908.4%100-499
Other / suppressed150.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,56015.5%100-499
Ages 40–59, male1,52015.1%100-499
Ages 60 and over, female1,36513.6%100-499
Ages 60 and over, male1,28012.7%100-499
Ages 25–39, male1,00510.0%100-499
Ages 25–39, female9959.9%100-499
Ages 15–24, male6156.1%100-499
Ages 15–24, female6056.0%100-499
Ages 5–14, male5955.9%100-499
Ages 5–14, female5205.2%50-99

Commuting (work and study)

Commuting indicators for Pinheiro Machado/RS
Employed persons (aged 10 and over)4,565
Commute out to work in another municipality395
Commute in from another municipality to work here175
Net commuting−220
Out-commuting rate (%)8.61
Commuting attraction index0.941
Median commuting time60 min

Open Pinheiro Machado/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]: Pinheiro Machado/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pinheiro-machado-rs-4314506/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.