Migration in Estação/RS (2017–2022)

Estação/RS had a reference population (aged 5 or over in 2022) of 5,320 people. In the 2017–2022 five-year period, the municipality received 360 in-migrants and lost 445 out-migrants to other municipalities in Brazil, resulting in a net migration of −85 people (−15.87 per 1,000 population) and a migration effectiveness index (IEM) of −0.105. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 25 came from abroad.

Indicators

Migration indicators for Estação/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	360	265 to 455	good
Out-migrants	445	293 to 597	use with caution
Net migration	−85	−264 to 94	not classified
Net migration rate, TLM (per 1,000 pop.)	−15.87	-	-
Migration effectiveness index (IEM)	−0.105	-	-

Sample of in-migrants: 100-499 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 Estação/RS
Origin	People	Precision
Getúlio Vargas/RS · view pair in the atlas	90	use with caution
Erechim/RS · view pair in the atlas	30	low precision
Tapejara/RS · view pair in the atlas	30	low precision
Erebango/RS · view pair in the atlas	20	low precision
Floriano Peixoto/RS · view pair in the atlas	20	low precision
Sertão/RS · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Estação/RS
Destination	People	Precision
Getúlio Vargas/RS · view pair in the atlas	170	use with caution
Erechim/RS · view pair in the atlas	60	low precision
Ipiranga do Sul/RS · view pair in the atlas	30	low precision
Erebango/RS · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	180	50.0%	50-99
First move from municipality of birth	140	38.9%	20-49
Return to municipality of birth	40	11.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	31.2%	20-49
Completed higher education	70	29.2%	20-49
Completed high school, incomplete higher education	60	25.0%	5-19
Completed elementary, incomplete high school	35	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	95	26.4%	20-49
More than 2 minimum wages	85	23.6%	20-49
½ to 1 minimum wage	80	22.2%	20-49
¼ to ½ minimum wage	75	20.8%	20-49
Up to ¼ of a minimum wage	25	6.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	65	18.1%	5-19
Ages 40–59, male	55	15.3%	5-19
Ages 25–39, male	50	13.9%	5-19
Ages 40–59, female	50	13.9%	5-19
Ages 5–14, female	45	12.5%	5-19
Ages 15–24, female	35	9.7%	5-19
Ages 15–24, male	20	5.6%	5-19
Ages 5–14, male	20	5.6%	5-19
Ages 60 and over, female	15	4.2%	5-19
Other / suppressed	5	1.4%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	215	48.9%	20-49
First move from municipality of birth	155	35.2%	20-49
Return to municipality of birth	55	12.5%	5-19
Other / suppressed	15	3.4%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	110	40.0%	20-49
Completed higher education	100	36.4%	5-19
Completed elementary, incomplete high school	40	14.5%	5-19
No schooling or incomplete elementary	25	9.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	155	34.8%	20-49
½ to 1 minimum wage	130	29.2%	20-49
More than 2 minimum wages	110	24.7%	5-19
¼ to ½ minimum wage	25	5.6%	5-19
Up to ¼ of a minimum wage	20	4.5%	5-19
Other / suppressed	5	1.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	120	26.7%	20-49
Ages 15–24, female	70	15.6%	5-19
Ages 25–39, male	70	15.6%	5-19
Ages 15–24, male	50	11.1%	5-19
Ages 40–59, female	40	8.9%	5-19
Ages 5–14, female	35	7.8%	5-19
Ages 40–59, male	30	6.7%	5-19
Other / suppressed	20	4.4%	5-19
Ages 5–14, male	15	3.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,695	44.1%	>=500
Completed high school, incomplete higher education	780	20.3%	100-499
Completed elementary, incomplete high school	695	18.1%	100-499
Completed higher education	670	17.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,980	38.1%	>=500
½ to 1 minimum wage	1,630	31.3%	>=500
More than 2 minimum wages	1,045	20.1%	100-499
¼ to ½ minimum wage	430	8.3%	100-499
Up to ¼ of a minimum wage	115	2.2%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	795	16.1%	100-499
Ages 60 and over, female	730	14.8%	100-499
Ages 40–59, male	730	14.8%	100-499
Ages 60 and over, male	600	12.2%	100-499
Ages 25–39, male	500	10.1%	100-499
Ages 25–39, female	480	9.7%	100-499
Ages 15–24, male	320	6.5%	100-499
Ages 5–14, male	265	5.4%	50-99
Ages 15–24, female	265	5.4%	50-99
Ages 5–14, female	250	5.1%	50-99

Commuting (work and study)

Commuting indicators for Estação/RS
Employed persons (aged 10 and over)	2,545
Commute out to work in another municipality	560
Commute in from another municipality to work here	500
Net commuting	−60
Out-commuting rate (%)	21.98
Commuting attraction index	0.935
Median commuting time	20 min

Open Estação/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]: Estação/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/estacao-rs-4307559/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.