Migration in Lavras do Sul/RS (2017–2022)

Lavras do Sul/RS had a reference population (aged 5 or over in 2022) of 6,775 people. In the 2017–2022 five-year period, the municipality received 495 in-migrants and lost 410 out-migrants to other municipalities in Brazil, resulting in a net migration of +80 people (12.17 per 1,000 population) and a migration effectiveness index (IEM) of 0.091. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Lavras do Sul/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	495	393 to 597	good
Out-migrants	410	257 to 563	use with caution
Net migration	+80	−104 to 264	not classified
Net migration rate, TLM (per 1,000 pop.)	12.17	-	-
Migration effectiveness index (IEM)	0.091	-	-

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 Lavras do Sul/RS
Origin	People	Precision
Bagé/RS · view pair in the atlas	115	use with caution
Porto Alegre/RS · view pair in the atlas	50	use with caution
São Gabriel/RS · view pair in the atlas	45	low precision
Santa Maria/RS · view pair in the atlas	40	low precision
Caçapava do Sul/RS · view pair in the atlas	35	low precision
Dom Pedrito/RS · view pair in the atlas	25	low precision
Caxias do Sul/RS · view pair in the atlas	25	low precision
Canoas/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Lavras do Sul/RS
Destination	People	Precision
Bagé/RS · view pair in the atlas	80	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	225	45.5%	50-99
Return to municipality of birth	160	32.3%	50-99
Multi-step migration	110	22.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	35.4%	20-49
Completed elementary, incomplete high school	80	24.6%	20-49
Completed high school, incomplete higher education	70	21.5%	20-49
Completed higher education	60	18.5%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	29.6%	50-99
1 to 2 minimum wages	130	26.5%	20-49
More than 2 minimum wages	100	20.4%	20-49
¼ to ½ minimum wage	90	18.4%	20-49
Up to ¼ of a minimum wage	15	3.1%	5-19
Other / suppressed	10	2.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	85	17.2%	20-49
Ages 25–39, female	80	16.2%	20-49
Ages 40–59, male	55	11.1%	5-19
Ages 5–14, female	50	10.1%	5-19
Ages 15–24, male	45	9.1%	5-19
Ages 40–59, female	45	9.1%	5-19
Ages 15–24, female	40	8.1%	5-19
Ages 5–14, male	35	7.1%	5-19
Ages 60 and over, male	30	6.1%	5-19
Ages 60 and over, female	30	6.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	215	52.4%	20-49
Multi-step migration	130	31.7%	5-19
Return to municipality of birth	65	15.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	120	42.1%	5-19
No schooling or incomplete elementary	95	33.3%	5-19
Completed higher education	40	14.0%	5-19
Completed elementary, incomplete high school	30	10.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	170	42.0%	20-49
½ to 1 minimum wage	135	33.3%	5-19
More than 2 minimum wages	60	14.8%	5-19
Other / suppressed	40	9.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	115	27.7%	5-19
Ages 25–39, male	75	18.1%	5-19
Ages 40–59, female	50	12.0%	5-19
Ages 40–59, male	45	10.8%	5-19
Ages 15–24, female	45	10.8%	5-19
Ages 60 and over, female	45	10.8%	5-19
Ages 25–39, female	40	9.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,330	49.4%	>=500
Completed high school, incomplete higher education	1,145	24.3%	100-499
Completed elementary, incomplete high school	720	15.3%	100-499
Completed higher education	520	11.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,370	35.7%	>=500
1 to 2 minimum wages	1,590	24.0%	>=500
¼ to ½ minimum wage	1,140	17.2%	100-499
More than 2 minimum wages	860	13.0%	100-499
Up to ¼ of a minimum wage	630	9.5%	100-499
Not applicable (collective dwelling)	45	0.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,000	16.0%	100-499
Ages 40–59, male	990	15.8%	100-499
Ages 60 and over, female	805	12.8%	100-499
Ages 60 and over, male	740	11.8%	100-499
Ages 25–39, female	610	9.7%	100-499
Ages 25–39, male	580	9.3%	100-499
Ages 5–14, male	405	6.5%	100-499
Ages 15–24, female	395	6.3%	100-499
Ages 15–24, male	385	6.1%	100-499
Ages 5–14, female	355	5.7%	100-499

Commuting (work and study)

Commuting indicators for Lavras do Sul/RS
Employed persons (aged 10 and over)	3,320
Commute out to work in another municipality	95
Commute in from another municipality to work here	160
Net commuting	+65
Out-commuting rate (%)	2.92
Commuting attraction index	0.983
Median commuting time	75 min

Open Lavras 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]: Lavras 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/lavras-do-sul-rs-4311502/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.