Migration in Modelo/SC (2017–2022)

Modelo/SC had a reference population (aged 5 or over in 2022) of 3,840 people. In the 2017–2022 five-year period, the municipality received 305 in-migrants and lost 395 out-migrants to other municipalities in Brazil, resulting in a net migration of −85 people (−22.64 per 1,000 population) and a migration effectiveness index (IEM) of −0.125. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Modelo/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	305	219 to 391	good
Out-migrants	395	263 to 527	use with caution
Net migration	−85	−243 to 73	not classified
Net migration rate, TLM (per 1,000 pop.)	−22.64	-	-
Migration effectiveness index (IEM)	−0.125	-	-

Sample of in-migrants: 50-99 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 Modelo/SC
Origin	People	Precision
Pinhalzinho/SC · view pair in the atlas	65	use with caution
Serra Alta/SC · view pair in the atlas	20	low precision
Sul Brasil/SC · view pair in the atlas	20	low precision
Campo Erê/SC · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Modelo/SC
Destination	People	Precision
Pinhalzinho/SC · view pair in the atlas	85	low precision
Chapecó/SC · view pair in the atlas	55	low precision
Serra Alta/SC · view pair in the atlas	25	low precision
Sul Brasil/SC · view pair in the atlas	25	low precision
Bom Jesus do Oeste/SC · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	170	55.7%	50-99
First move from municipality of birth	110	36.1%	20-49
Return to municipality of birth	25	8.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	60	34.3%	20-49
Completed elementary, incomplete high school	40	22.9%	5-19
Completed high school, incomplete higher education	40	22.9%	5-19
Completed higher education	35	20.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	110	36.1%	20-49
½ to 1 minimum wage	100	32.8%	20-49
More than 2 minimum wages	95	31.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	55	18.0%	5-19
Ages 25–39, female	45	14.8%	5-19
Ages 15–24, female	40	13.1%	5-19
Ages 40–59, female	40	13.1%	5-19
Ages 15–24, male	40	13.1%	5-19
Ages 5–14, male	25	8.2%	5-19
Ages 5–14, female	25	8.2%	5-19
Ages 40–59, male	25	8.2%	5-19
Other / suppressed	10	3.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	235	59.5%	20-49
First move from municipality of birth	125	31.6%	20-49
Return to municipality of birth	35	8.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	29.2%	5-19
Completed elementary, incomplete high school	70	29.2%	5-19
Completed higher education	65	27.1%	5-19
No schooling or incomplete elementary	35	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	160	41.0%	20-49
1 to 2 minimum wages	130	33.3%	20-49
½ to 1 minimum wage	75	19.2%	20-49
Other / suppressed	25	6.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	75	19.2%	5-19
Ages 15–24, female	70	17.9%	5-19
Ages 25–39, male	60	15.4%	5-19
Ages 15–24, male	55	14.1%	5-19
Ages 40–59, male	50	12.8%	5-19
Ages 40–59, female	35	9.0%	5-19
Other / suppressed	25	6.4%	5-19
Ages 5–14, female	20	5.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,250	47.7%	100-499
Completed elementary, incomplete high school	535	20.4%	100-499
Completed high school, incomplete higher education	520	19.8%	100-499
Completed higher education	315	12.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,440	38.2%	100-499
More than 2 minimum wages	1,140	30.2%	100-499
½ to 1 minimum wage	960	25.5%	100-499
¼ to ½ minimum wage	180	4.8%	50-99
Up to ¼ of a minimum wage	50	1.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	545	15.5%	100-499
Ages 40–59, female	525	14.9%	100-499
Ages 60 and over, female	420	11.9%	100-499
Ages 25–39, male	390	11.1%	100-499
Ages 25–39, female	370	10.5%	100-499
Ages 60 and over, male	365	10.4%	100-499
Ages 15–24, male	260	7.4%	50-99
Ages 5–14, female	230	6.5%	50-99
Ages 15–24, female	215	6.1%	50-99
Ages 5–14, male	205	5.8%	50-99

Commuting (work and study)

Commuting indicators for Modelo/SC
Employed persons (aged 10 and over)	2,245
Commute out to work in another municipality	215
Commute in from another municipality to work here	205
Net commuting	−5
Out-commuting rate (%)	9.48
Commuting attraction index	0.986
Median commuting time	20 min

This municipality is part of Região Metropolitana do Extremo Oeste → see the metropolitan region page

Open Modelo/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]: Modelo/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/modelo-sc-4210902/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.