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

Migration in Água Santa/RS (2017–2022)

Água Santa/RS had a reference population (aged 5 or over in 2022) of 3,665 people. In the 2017–2022 five-year period, the municipality received 205 in-migrants and lost 275 out-migrants to other municipalities in Brazil, resulting in a net migration of −75 people (−19.91 per 1,000 population) and a migration effectiveness index (IEM) of −0.152. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Água Santa/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants205123 to 287use with caution
Out-migrants275166 to 384use with caution
Net migration−75−212 to 62not classified
Net migration rate, TLM (per 1,000 pop.)−19.91--
Migration effectiveness index (IEM)−0.152--

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Água Santa/RS
OriginPeoplePrecision
Charrua/RS · view pair in the atlas50low precision
Passo Fundo/RS · view pair in the atlas40low precision
Tapejara/RS · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Água Santa/RS
DestinationPeoplePrecision
Tapejara/RS · view pair in the atlas70low precision
Mato Castelhano/RS · view pair in the atlas30low precision
Gentil/RS · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth11053.7%20-49
Multi-step migration8039.0%20-49
Return to municipality of birth157.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4036.4%5-19
Completed high school, incomplete higher education3531.8%5-19
Completed elementary, incomplete high school2018.2%5-19
Completed higher education1513.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage6532.5%20-49
1 to 2 minimum wages5527.5%5-19
¼ to ½ minimum wage5025.0%20-49
More than 2 minimum wages2512.5%5-19
Other / suppressed52.5%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed4020.0%20-49
Ages 15–24, female3015.0%5-19
Ages 40–59, female2512.5%5-19
Ages 25–39, male2512.5%5-19
Ages 25–39, female2512.5%5-19
Ages 5–14, female2010.0%5-19
Ages 15–24, male2010.0%5-19
Ages 40–59, male157.5%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth13549.1%20-49
Multi-step migration11040.0%20-49
Return to municipality of birth3010.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education6031.6%5-19
Completed high school, incomplete higher education5026.3%5-19
No schooling or incomplete elementary4523.7%5-19
Completed elementary, incomplete high school3518.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages10035.7%5-19
½ to 1 minimum wage9032.1%20-49
1 to 2 minimum wages4516.1%5-19
Up to ¼ of a minimum wage258.9%5-19
Other / suppressed207.1%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed8530.9%5-19
Ages 25–39, male6523.6%5-19
Ages 25–39, female4014.5%5-19
Ages 40–59, male3512.7%5-19
Ages 15–24, female3010.9%5-19
Ages 5–14, male207.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,27050.0%100-499
Completed high school, incomplete higher education66526.2%100-499
Completed higher education30512.0%100-499
Completed elementary, incomplete high school30011.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,33035.8%100-499
1 to 2 minimum wages1,00527.1%100-499
More than 2 minimum wages75020.2%100-499
¼ to ½ minimum wage39010.5%100-499
Up to ¼ of a minimum wage2356.3%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male48013.9%100-499
Ages 40–59, female48013.9%100-499
Ages 60 and over, female42512.3%100-499
Ages 60 and over, male39011.3%100-499
Ages 25–39, male39011.3%100-499
Ages 25–39, female37010.7%100-499
Ages 5–14, female2457.1%50-99
Ages 15–24, male2306.7%50-99
Ages 5–14, male2256.5%50-99
Ages 15–24, female2206.4%50-99

Commuting (work and study)

Commuting indicators for Água Santa/RS
Employed persons (aged 10 and over)1,670
Commute out to work in another municipality110
Commute in from another municipality to work here200
Net commuting+85
Out-commuting rate (%)6.70
Commuting attraction index1.049
Median commuting time40 min

Open Água Santa/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]: Água Santa/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/agua-santa-rs-4300059/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.