Migration in São Vicente do Sul/RS (2017–2022)

São Vicente do Sul/RS had a reference population (aged 5 or over in 2022) of 7,685 people. In the 2017–2022 five-year period, the municipality received 840 in-migrants and lost 575 out-migrants to other municipalities in Brazil, resulting in a net migration of +265 people (34.76 per 1,000 population) and a migration effectiveness index (IEM) of 0.189. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Vicente do Sul/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	840	632 to 1,048	good
Out-migrants	575	392 to 758	use with caution
Net migration	+265	−12 to 542	not classified
Net migration rate, TLM (per 1,000 pop.)	34.76	-	-
Migration effectiveness index (IEM)	0.189	-	-

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 São Vicente do Sul/RS
Origin	People	Precision
Santa Maria/RS · view pair in the atlas	160	use with caution
Cacequi/RS · view pair in the atlas	120	low precision
Jaguari/RS · view pair in the atlas	100	low precision
Mata/RS · view pair in the atlas	40	low precision
Santiago/RS · view pair in the atlas	35	low precision
Manoel Viana/RS · view pair in the atlas	35	low precision
Porto Alegre/RS · view pair in the atlas	30	low precision
São Francisco de Assis/RS · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from São Vicente do Sul/RS
Destination	People	Precision
Santa Maria/RS · view pair in the atlas	100	low precision
Cacequi/RS · view pair in the atlas	35	low precision
Nova Esperança do Sul/RS · view pair in the atlas	35	low precision
São Francisco de Assis/RS · view pair in the atlas	30	low precision
Jaguari/RS · view pair in the atlas	30	low precision
Mata/RS · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	330	39.5%	50-99
First move from municipality of birth	325	38.9%	50-99
Return to municipality of birth	175	21.0%	20-49
Other / suppressed	5	0.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	170	30.9%	20-49
No schooling or incomplete elementary	170	30.9%	20-49
Completed higher education	125	22.7%	20-49
Completed elementary, incomplete high school	85	15.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	235	27.8%	20-49
1 to 2 minimum wages	210	24.9%	20-49
¼ to ½ minimum wage	160	18.9%	20-49
More than 2 minimum wages	140	16.6%	20-49
Up to ¼ of a minimum wage	65	7.7%	5-19
Not applicable (collective dwelling)	35	4.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	145	17.3%	20-49
Ages 40–59, male	115	13.7%	20-49
Ages 25–39, male	110	13.1%	20-49
Ages 15–24, female	95	11.3%	5-19
Ages 40–59, female	85	10.1%	5-19
Ages 5–14, female	70	8.3%	5-19
Ages 5–14, male	65	7.7%	5-19
Ages 15–24, male	60	7.1%	5-19
Ages 60 and over, female	60	7.1%	5-19
Ages 60 and over, male	35	4.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	250	43.5%	20-49
Multi-step migration	235	40.9%	20-49
Return to municipality of birth	85	14.8%	20-49
Other / suppressed	5	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	30.4%	5-19
Completed high school, incomplete higher education	75	26.8%	5-19
Completed higher education	65	23.2%	5-19
Completed elementary, incomplete high school	55	19.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	180	31.6%	20-49
½ to 1 minimum wage	145	25.4%	20-49
More than 2 minimum wages	115	20.2%	5-19
¼ to ½ minimum wage	65	11.4%	5-19
Up to ¼ of a minimum wage	50	8.8%	5-19
Other / suppressed	15	2.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	125	21.7%	5-19
Ages 15–24, male	125	21.7%	5-19
Ages 25–39, male	70	12.2%	5-19
Ages 40–59, female	65	11.3%	5-19
Ages 60 and over, female	40	7.0%	5-19
Ages 40–59, male	40	7.0%	5-19
Ages 60 and over, male	35	6.1%	5-19
Ages 25–39, female	35	6.1%	5-19
Ages 5–14, male	20	3.5%	5-19
Other / suppressed	20	3.5%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,450	47.8%	100-499
Completed high school, incomplete higher education	1,205	23.5%	100-499
Completed elementary, incomplete high school	770	15.0%	100-499
Completed higher education	700	13.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,680	37.0%	>=500
1 to 2 minimum wages	1,480	20.4%	100-499
¼ to ½ minimum wage	1,440	19.9%	100-499
More than 2 minimum wages	1,180	16.3%	100-499
Up to ¼ of a minimum wage	445	6.1%	50-99
Not applicable (collective dwelling)	25	0.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,065	15.6%	100-499
Ages 40–59, male	985	14.4%	100-499
Ages 60 and over, female	860	12.6%	100-499
Ages 60 and over, male	830	12.2%	100-499
Ages 25–39, female	690	10.1%	100-499
Ages 25–39, male	690	10.1%	100-499
Ages 15–24, male	460	6.7%	100-499
Ages 5–14, male	435	6.4%	50-99
Ages 15–24, female	420	6.1%	50-99
Ages 5–14, female	395	5.8%	50-99

Commuting (work and study)

Commuting indicators for São Vicente do Sul/RS
Employed persons (aged 10 and over)	3,380
Commute out to work in another municipality	290
Commute in from another municipality to work here	310
Net commuting	+20
Out-commuting rate (%)	8.60
Commuting attraction index	0.993
Median commuting time	60 min

Open São Vicente do Sul/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]: São Vicente do Sul/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-vicente-do-sul-rs-4319802/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.