Migration in Sul Brasil/SC (2017–2022)

Sul Brasil/SC had a reference population (aged 5 or over in 2022) of 2,660 people. In the 2017–2022 five-year period, the municipality received 190 in-migrants and lost 190 out-migrants to other municipalities in Brazil, resulting in a net migration of +5 people (1.07 per 1,000 population) and a migration effectiveness index (IEM) of 0.007. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Sul Brasil/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	190	118 to 262	use with caution
Out-migrants	190	104 to 276	use with caution
Net migration	+5	−107 to 117	not classified
Net migration rate, TLM (per 1,000 pop.)	1.07	-	-
Migration effectiveness index (IEM)	0.007	-	-

Sample of in-migrants: 50-99 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 Sul Brasil/SC
Origin	People	Precision
Modelo/SC · view pair in the atlas	25	low precision
Pinhalzinho/SC · view pair in the atlas	25	low precision
Blumenau/SC · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Sul Brasil/SC
Destination	People	Precision
Pinhalzinho/SC · view pair in the atlas	75	low precision
Modelo/SC · view pair in the atlas	20	low precision
Irati/SC · view pair in the atlas	15	low precision
Nova Erechim/SC · view pair in the atlas	15	low precision
Jardinópolis/SC · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	110	57.9%	20-49
First move from municipality of birth	65	34.2%	20-49
Return to municipality of birth	15	7.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	45	40.9%	20-49
Completed elementary, incomplete high school	35	31.8%	5-19
Completed high school, incomplete higher education	20	18.2%	5-19
Completed higher education	10	9.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	90	48.6%	20-49
½ to 1 minimum wage	70	37.8%	20-49
¼ to ½ minimum wage	15	8.1%	5-19
More than 2 minimum wages	10	5.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, female	30	15.8%	5-19
Ages 25–39, male	30	15.8%	5-19
Ages 25–39, female	30	15.8%	5-19
Ages 15–24, female	25	13.2%	5-19
Ages 40–59, female	20	10.5%	5-19
Ages 40–59, male	15	7.9%	5-19
Ages 15–24, male	15	7.9%	5-19
Ages 60 and over, male	10	5.3%	5-19
Ages 5–14, male	10	5.3%	5-19
Other / suppressed	5	2.6%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	155	81.6%	20-49
First move from municipality of birth	30	15.8%	5-19
Other / suppressed	5	2.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	45	37.5%	5-19
Other / suppressed	45	37.5%	5-19
Completed elementary, incomplete high school	30	25.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	70	37.8%	5-19
1 to 2 minimum wages	70	37.8%	5-19
More than 2 minimum wages	35	18.9%	5-19
Other / suppressed	10	5.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	105	55.3%	20-49
Ages 25–39, female	45	23.7%	5-19
Ages 5–14, male	20	10.5%	5-19
Ages 15–24, male	20	10.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,075	58.3%	>=500
Completed high school, incomplete higher education	420	22.8%	100-499
Completed elementary, incomplete high school	205	11.1%	50-99
Completed higher education	145	7.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	920	34.9%	100-499
More than 2 minimum wages	865	32.8%	100-499
½ to 1 minimum wage	700	26.6%	100-499
¼ to ½ minimum wage	145	5.5%	50-99
Other / suppressed	5	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	385	15.7%	100-499
Ages 40–59, female	325	13.2%	100-499
Ages 60 and over, female	315	12.8%	100-499
Ages 60 and over, male	310	12.6%	100-499
Ages 25–39, female	250	10.2%	100-499
Ages 25–39, male	250	10.2%	100-499
Ages 15–24, male	180	7.3%	50-99
Ages 5–14, female	160	6.5%	50-99
Ages 5–14, male	145	5.9%	50-99
Ages 15–24, female	140	5.7%	50-99

Commuting (work and study)

Commuting indicators for Sul Brasil/SC
Employed persons (aged 10 and over)	1,555
Commute out to work in another municipality	140
Commute in from another municipality to work here	70
Net commuting	−65
Out-commuting rate (%)	8.99
Commuting attraction index	0.923
Median commuting time	40 min

This municipality is part of Região Metropolitana de Chapecó → see the metropolitan region page

Open Sul Brasil/SC 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]: Sul Brasil/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sul-brasil-sc-4217758/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.