Migration in Vila Nova do Sul/RS (2017–2022)

Vila Nova do Sul/RS had a reference population (aged 5 or over in 2022) of 3,695 people. In the 2017–2022 five-year period, the municipality received 355 in-migrants and lost 200 out-migrants to other municipalities in Brazil, resulting in a net migration of +155 people (41.79 per 1,000 population) and a migration effectiveness index (IEM) of 0.278. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Vila Nova do Sul/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	355	255 to 455	good
Out-migrants	200	96 to 304	use with caution
Net migration	+155	11 to 299	not classified
Net migration rate, TLM (per 1,000 pop.)	41.79	-	-
Migration effectiveness index (IEM)	0.278	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Vila Nova do Sul/RS
Origin	People	Precision
São Gabriel/RS · view pair in the atlas	95	use with caution
São Sepé/RS · view pair in the atlas	50	low precision
Porto Alegre/RS · view pair in the atlas	30	low precision
Santa Maria/RS · view pair in the atlas	15	low precision
Caçapava do Sul/RS · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Vila Nova do Sul/RS
Destination	People	Precision
No outflows published individually (below the disclosure threshold).

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	215	61.4%	50-99
Multi-step migration	70	20.0%	20-49
Return to municipality of birth	65	18.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	58.3%	20-49
Completed high school, incomplete higher education	55	22.9%	5-19
Completed elementary, incomplete high school	30	12.5%	5-19
Other / suppressed	15	6.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	140	39.4%	20-49
Up to ¼ of a minimum wage	70	19.7%	20-49
1 to 2 minimum wages	70	19.7%	20-49
¼ to ½ minimum wage	65	18.3%	20-49
Other / suppressed	10	2.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	55	15.3%	5-19
Ages 25–39, male	50	13.9%	5-19
Ages 40–59, male	40	11.1%	5-19
Ages 60 and over, male	35	9.7%	5-19
Ages 15–24, female	35	9.7%	5-19
Ages 5–14, female	35	9.7%	5-19
Ages 60 and over, female	30	8.3%	5-19
Ages 25–39, female	30	8.3%	5-19
Ages 5–14, male	25	6.9%	5-19
Ages 15–24, male	25	6.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	130	65.0%	20-49
First move from municipality of birth	50	25.0%	5-19
Other / suppressed	20	10.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	70	60.9%	5-19
Other / suppressed	45	39.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Other / suppressed	85	41.5%	5-19
½ to 1 minimum wage	65	31.7%	5-19
1 to 2 minimum wages	55	26.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	100	50.0%	5-19
Ages 5–14, female	35	17.5%	5-19
Ages 40–59, male	35	17.5%	5-19
Ages 40–59, female	30	15.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,455	56.6%	100-499
Completed high school, incomplete higher education	530	20.6%	100-499
Completed elementary, incomplete high school	390	15.2%	100-499
Completed higher education	195	7.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,340	38.2%	100-499
1 to 2 minimum wages	820	23.4%	100-499
¼ to ½ minimum wage	555	15.8%	100-499
More than 2 minimum wages	400	11.4%	100-499
Up to ¼ of a minimum wage	390	11.1%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	520	15.6%	100-499
Ages 40–59, female	520	15.6%	100-499
Ages 60 and over, male	495	14.9%	100-499
Ages 60 and over, female	485	14.6%	100-499
Ages 25–39, female	300	9.0%	50-99
Ages 25–39, male	250	7.5%	50-99
Ages 15–24, male	200	6.0%	50-99
Ages 15–24, female	190	5.7%	50-99
Ages 5–14, male	190	5.7%	50-99
Ages 5–14, female	180	5.4%	50-99

Commuting (work and study)

Commuting indicators for Vila Nova do Sul/RS
Employed persons (aged 10 and over)	1,365
Commute out to work in another municipality	85
Commute in from another municipality to work here	80
Net commuting	−5
Out-commuting rate (%)	6.29
Commuting attraction index	0.952
Median commuting time	45 min

Open Vila Nova 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]: Vila Nova 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/vila-nova-do-sul-rs-4323457/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.