Migration in Serra Alta/SC (2017–2022)

Serra Alta/SC had a reference population (aged 5 or over in 2022) of 3,095 people. In the 2017–2022 five-year period, the municipality received 295 in-migrants and lost 270 out-migrants to other municipalities in Brazil, resulting in a net migration of +25 people (8.64 per 1,000 population) and a migration effectiveness index (IEM) of 0.048. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Serra Alta/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	295	206 to 384	use with caution
Out-migrants	270	104 to 436	low precision
Net migration	+25	−164 to 214	not classified
Net migration rate, TLM (per 1,000 pop.)	8.64	-	-
Migration effectiveness index (IEM)	0.048	-	-

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 Serra Alta/SC
Origin	People	Precision
Modelo/SC · view pair in the atlas	25	low precision
Bom Jesus do Oeste/SC · view pair in the atlas	25	low precision
Pinhalzinho/SC · view pair in the atlas	25	low precision
Chapecó/SC · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Serra Alta/SC
Destination	People	Precision
Pinhalzinho/SC · view pair in the atlas	85	low precision
Bom Jesus do Oeste/SC · view pair in the atlas	30	low precision
Modelo/SC · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	185	63.8%	50-99
First move from municipality of birth	80	27.6%	20-49
Return to municipality of birth	25	8.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	30.2%	20-49
Completed high school, incomplete higher education	65	30.2%	20-49
Completed elementary, incomplete high school	55	25.6%	5-19
Completed higher education	30	14.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	110	38.6%	20-49
½ to 1 minimum wage	110	38.6%	20-49
More than 2 minimum wages	40	14.0%	5-19
¼ to ½ minimum wage	20	7.0%	5-19
Other / suppressed	5	1.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	60	20.3%	20-49
Ages 25–39, male	50	16.9%	5-19
Ages 40–59, male	35	11.9%	5-19
Ages 60 and over, female	30	10.2%	5-19
Ages 5–14, male	30	10.2%	5-19
Ages 5–14, female	25	8.5%	5-19
Ages 40–59, female	25	8.5%	5-19
Ages 60 and over, male	20	6.8%	5-19
Ages 15–24, female	15	5.1%	5-19
Other / suppressed	5	1.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	230	85.2%	20-49
First move from municipality of birth	25	9.3%	5-19
Other / suppressed	15	5.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	42.4%	5-19
No schooling or incomplete elementary	60	36.4%	5-19
Completed elementary, incomplete high school	20	12.1%	5-19
Completed higher education	15	9.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	105	38.9%	5-19
1 to 2 minimum wages	80	29.6%	20-49
More than 2 minimum wages	75	27.8%	5-19
Other / suppressed	10	3.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	50	18.9%	5-19
Ages 5–14, female	40	15.1%	5-19
Ages 25–39, male	35	13.2%	5-19
Ages 15–24, male	35	13.2%	5-19
Ages 60 and over, male	30	11.3%	5-19
Ages 40–59, male	25	9.4%	5-19
Ages 25–39, female	25	9.4%	5-19
Ages 15–24, female	20	7.5%	5-19
Other / suppressed	5	1.9%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,110	52.0%	100-499
Completed high school, incomplete higher education	465	21.8%	100-499
Completed higher education	315	14.8%	100-499
Completed elementary, incomplete high school	245	11.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,335	44.4%	100-499
½ to 1 minimum wage	960	31.9%	100-499
More than 2 minimum wages	570	18.9%	100-499
¼ to ½ minimum wage	130	4.3%	20-49
Other / suppressed	15	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	445	15.9%	100-499
Ages 40–59, male	435	15.6%	100-499
Ages 60 and over, female	350	12.5%	100-499
Ages 25–39, male	320	11.4%	100-499
Ages 60 and over, male	310	11.1%	100-499
Ages 25–39, female	275	9.8%	100-499
Ages 15–24, male	180	6.4%	50-99
Ages 15–24, female	165	5.9%	50-99
Ages 5–14, male	165	5.9%	50-99
Ages 5–14, female	150	5.4%	50-99

Commuting (work and study)

Commuting indicators for Serra Alta/SC
Employed persons (aged 10 and over)	960
Commute out to work in another municipality	105
Commute in from another municipality to work here	110
Net commuting	+5
Out-commuting rate (%)	10.78
Commuting attraction index	1.003
Median commuting time	30 min

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

Open Serra Alta/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]: Serra Alta/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/serra-alta-sc-4217550/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.