Migration in Erval Seco/RS (2017–2022)

Erval Seco/RS had a reference population (aged 5 or over in 2022) of 6,370 people. In the 2017–2022 five-year period, the municipality received 325 in-migrants and lost 665 out-migrants to other municipalities in Brazil, resulting in a net migration of −340 people (−53.51 per 1,000 population) and a migration effectiveness index (IEM) of −0.345. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Erval Seco/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	325	236 to 414	good
Out-migrants	665	471 to 859	good
Net migration	−340	−553 to −127	not classified
Net migration rate, TLM (per 1,000 pop.)	−53.51	-	-
Migration effectiveness index (IEM)	−0.345	-	-

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 Erval Seco/RS
Origin	People	Precision
Redentora/RS · view pair in the atlas	50	low precision
Frederico Westphalen/RS · view pair in the atlas	50	low precision
Seberi/RS · view pair in the atlas	20	low precision
Panambi/RS · view pair in the atlas	20	low precision
Teutônia/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Erval Seco/RS
Destination	People	Precision
Frederico Westphalen/RS · view pair in the atlas	135	low precision
Seberi/RS · view pair in the atlas	70	low precision
Redentora/RS · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	110	33.8%	20-49
First move from municipality of birth	110	33.8%	20-49
Multi-step migration	105	32.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	35.9%	20-49
No schooling or incomplete elementary	50	25.6%	5-19
Completed higher education	45	23.1%	5-19
Completed elementary, incomplete high school	30	15.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	95	29.2%	20-49
1 to 2 minimum wages	90	27.7%	20-49
Up to ¼ of a minimum wage	60	18.5%	20-49
¼ to ½ minimum wage	45	13.8%	5-19
More than 2 minimum wages	35	10.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	60	18.2%	20-49
Ages 40–59, male	50	15.2%	5-19
Ages 25–39, male	45	13.6%	5-19
Ages 15–24, female	40	12.1%	5-19
Ages 5–14, male	35	10.6%	5-19
Ages 15–24, male	30	9.1%	5-19
Ages 5–14, female	30	9.1%	5-19
Ages 40–59, female	25	7.6%	5-19
Other / suppressed	15	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	400	60.6%	50-99
Multi-step migration	195	29.5%	20-49
Return to municipality of birth	65	9.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	150	33.3%	20-49
No schooling or incomplete elementary	150	33.3%	20-49
Completed higher education	90	20.0%	5-19
Completed elementary, incomplete high school	60	13.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	240	36.1%	20-49
½ to 1 minimum wage	180	27.1%	20-49
More than 2 minimum wages	145	21.8%	5-19
¼ to ½ minimum wage	75	11.3%	5-19
Other / suppressed	25	3.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	155	23.3%	20-49
Ages 15–24, female	95	14.3%	20-49
Ages 25–39, female	90	13.5%	5-19
Ages 40–59, female	65	9.8%	5-19
Ages 40–59, male	60	9.0%	5-19
Ages 15–24, male	55	8.3%	5-19
Ages 60 and over, female	50	7.5%	5-19
Ages 5–14, male	40	6.0%	5-19
Ages 60 and over, male	30	4.5%	5-19
Ages 5–14, female	25	3.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,680	59.6%	>=500
Completed high school, incomplete higher education	800	17.8%	100-499
Completed elementary, incomplete high school	575	12.8%	100-499
Completed higher education	445	9.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,215	34.3%	>=500
1 to 2 minimum wages	1,730	26.8%	>=500
¼ to ½ minimum wage	1,010	15.7%	100-499
Up to ¼ of a minimum wage	820	12.7%	100-499
More than 2 minimum wages	675	10.5%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	865	14.4%	100-499
Ages 60 and over, female	850	14.1%	100-499
Ages 40–59, male	850	14.1%	100-499
Ages 60 and over, male	780	12.9%	100-499
Ages 25–39, male	590	9.8%	100-499
Ages 25–39, female	560	9.3%	100-499
Ages 5–14, male	410	6.8%	100-499
Ages 15–24, male	400	6.6%	100-499
Ages 15–24, female	365	6.1%	100-499
Ages 5–14, female	355	5.9%	100-499

Commuting (work and study)

Commuting indicators for Erval Seco/RS
Employed persons (aged 10 and over)	2,475
Commute out to work in another municipality	300
Commute in from another municipality to work here	70
Net commuting	−225
Out-commuting rate (%)	12.03
Commuting attraction index	0.875
Median commuting time	30 min

Open Erval Seco/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]: Erval Seco/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/erval-seco-rs-4307302/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.