Migration in Vale do Sol/RS (2017–2022)

Vale do Sol/RS had a reference population (aged 5 or over in 2022) of 9,435 people. In the 2017–2022 five-year period, the municipality received 520 in-migrants and lost 805 out-migrants to other municipalities in Brazil, resulting in a net migration of −280 people (−29.92 per 1,000 population) and a migration effectiveness index (IEM) of −0.213. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Vale do Sol/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	520	385 to 655	good
Out-migrants	805	591 to 1,019	good
Net migration	−280	−533 to −27	not classified
Net migration rate, TLM (per 1,000 pop.)	−29.92	-	-
Migration effectiveness index (IEM)	−0.213	-	-

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 Vale do Sol/RS
Origin	People	Precision
Santa Cruz do Sul/RS · view pair in the atlas	105	use with caution
Vera Cruz/RS · view pair in the atlas	105	use with caution
Candelária/RS · view pair in the atlas	95	low precision
Herveiras/RS · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Vale do Sol/RS
Destination	People	Precision
Vera Cruz/RS · view pair in the atlas	195	use with caution
Santa Cruz do Sul/RS · view pair in the atlas	190	use with caution
Candelária/RS · view pair in the atlas	125	low precision
Herveiras/RS · view pair in the atlas	80	low precision
Sinimbu/RS · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	240	46.2%	50-99
Multi-step migration	170	32.7%	20-49
Return to municipality of birth	110	21.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	45.3%	20-49
Completed higher education	75	20.0%	5-19
Completed high school, incomplete higher education	70	18.7%	5-19
Completed elementary, incomplete high school	60	16.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	170	32.7%	20-49
More than 2 minimum wages	125	24.0%	20-49
1 to 2 minimum wages	120	23.1%	20-49
¼ to ½ minimum wage	70	13.5%	5-19
Up to ¼ of a minimum wage	35	6.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	80	15.5%	5-19
Ages 25–39, male	80	15.5%	5-19
Ages 40–59, male	75	14.6%	5-19
Ages 25–39, female	75	14.6%	5-19
Ages 15–24, female	50	9.7%	5-19
Ages 60 and over, male	50	9.7%	5-19
Ages 5–14, female	35	6.8%	5-19
Ages 5–14, male	35	6.8%	5-19
Ages 60 and over, female	20	3.9%	5-19
Other / suppressed	15	2.9%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	410	50.9%	50-99
Multi-step migration	220	27.3%	20-49
Return to municipality of birth	175	21.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	235	47.5%	20-49
Completed elementary, incomplete high school	115	23.2%	5-19
Completed high school, incomplete higher education	80	16.2%	5-19
Completed higher education	65	13.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	280	35.0%	20-49
½ to 1 minimum wage	210	26.2%	20-49
More than 2 minimum wages	155	19.4%	5-19
¼ to ½ minimum wage	85	10.6%	5-19
Up to ¼ of a minimum wage	70	8.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	145	18.0%	20-49
Ages 25–39, male	140	17.4%	5-19
Ages 25–39, female	140	17.4%	20-49
Ages 15–24, male	105	13.0%	5-19
Ages 40–59, female	85	10.6%	5-19
Ages 40–59, male	80	9.9%	5-19
Other / suppressed	40	5.0%	5-19
Ages 60 and over, male	35	4.3%	5-19
Ages 5–14, male	35	4.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,795	69.7%	>=500
Completed elementary, incomplete high school	980	14.2%	100-499
Completed high school, incomplete higher education	835	12.1%	100-499
Completed higher education	270	3.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,370	36.0%	>=500
1 to 2 minimum wages	2,825	30.1%	>=500
¼ to ½ minimum wage	1,385	14.8%	100-499
More than 2 minimum wages	1,250	13.3%	100-499
Up to ¼ of a minimum wage	540	5.8%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,515	17.0%	100-499
Ages 40–59, female	1,340	15.1%	100-499
Ages 60 and over, female	1,165	13.1%	100-499
Ages 60 and over, male	985	11.1%	100-499
Ages 25–39, male	950	10.7%	100-499
Ages 25–39, female	915	10.3%	100-499
Ages 15–24, male	610	6.9%	100-499
Ages 15–24, female	545	6.1%	100-499
Ages 5–14, female	440	4.9%	50-99
Ages 5–14, male	435	4.9%	100-499

Commuting (work and study)

Commuting indicators for Vale do Sol/RS
Employed persons (aged 10 and over)	5,435
Commute out to work in another municipality	685
Commute in from another municipality to work here	175
Net commuting	−510
Out-commuting rate (%)	12.59
Commuting attraction index	0.894
Median commuting time	45 min

Open Vale do Sol/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]: Vale do Sol/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/vale-do-sol-rs-4322533/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.