Migration in Rio das Antas/SC (2017–2022)

Rio das Antas/SC had a reference population (aged 5 or over in 2022) of 5,845 people. In the 2017–2022 five-year period, the municipality received 865 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of +510 people (87.11 per 1,000 population) and a migration effectiveness index (IEM) of 0.419. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 25 came from abroad.

Indicators

Migration indicators for Rio das Antas/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	865	707 to 1,023	good
Out-migrants	355	178 to 532	use with caution
Net migration	+510	273 to 747	not classified
Net migration rate, TLM (per 1,000 pop.)	87.11	-	-
Migration effectiveness index (IEM)	0.419	-	-

Sample of in-migrants: 100-499 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 Rio das Antas/SC
Origin	People	Precision
Videira/SC · view pair in the atlas	210	use with caution
Caçador/SC · view pair in the atlas	180	use with caution
Fraiburgo/SC · view pair in the atlas	55	low precision
Curitibanos/SC · view pair in the atlas	25	low precision
Florianópolis/SC · view pair in the atlas	20	low precision
Indaial/SC · view pair in the atlas	20	low precision
Curitiba/PR · view pair in the atlas	20	low precision
União da Vitória/PR · view pair in the atlas	15	low precision
Macieira/SC · view pair in the atlas	15	low precision
Timbó Grande/SC · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Rio das Antas/SC
Destination	People	Precision
Videira/SC · view pair in the atlas	160	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	425	49.4%	100-499
Multi-step migration	395	45.9%	100-499
Return to municipality of birth	40	4.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	240	46.2%	50-99
Completed high school, incomplete higher education	145	27.9%	20-49
Completed higher education	70	13.5%	20-49
Completed elementary, incomplete high school	65	12.5%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	355	41.0%	100-499
1 to 2 minimum wages	250	28.9%	50-99
¼ to ½ minimum wage	120	13.9%	20-49
More than 2 minimum wages	115	13.3%	20-49
Up to ¼ of a minimum wage	25	2.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	150	17.3%	20-49
Ages 5–14, male	125	14.5%	20-49
Ages 25–39, male	115	13.3%	20-49
Ages 40–59, male	105	12.1%	20-49
Ages 40–59, female	90	10.4%	20-49
Ages 5–14, female	90	10.4%	20-49
Ages 15–24, male	70	8.1%	20-49
Ages 15–24, female	60	6.9%	20-49
Ages 60 and over, female	35	4.0%	5-19
Ages 60 and over, male	25	2.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	160	45.7%	5-19
Multi-step migration	160	45.7%	20-49
Other / suppressed	30	8.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	105	47.7%	5-19
Other / suppressed	60	27.3%	5-19
Completed high school, incomplete higher education	55	25.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	155	43.7%	5-19
½ to 1 minimum wage	120	33.8%	5-19
More than 2 minimum wages	65	18.3%	5-19
Other / suppressed	15	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	95	26.4%	5-19
Other / suppressed	90	25.0%	5-19
Ages 15–24, male	55	15.3%	5-19
Ages 5–14, female	45	12.5%	5-19
Ages 40–59, female	40	11.1%	5-19
Ages 15–24, female	35	9.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,130	58.8%	>=500
Completed high school, incomplete higher education	605	16.7%	100-499
Completed elementary, incomplete high school	465	12.8%	100-499
Completed higher education	420	11.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,955	36.4%	>=500
½ to 1 minimum wage	1,850	34.5%	>=500
More than 2 minimum wages	1,050	19.6%	100-499
¼ to ½ minimum wage	470	8.8%	100-499
Up to ¼ of a minimum wage	40	0.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	760	15.3%	100-499
Ages 40–59, female	700	14.1%	100-499
Ages 60 and over, male	585	11.8%	100-499
Ages 60 and over, female	575	11.6%	100-499
Ages 25–39, male	515	10.4%	100-499
Ages 25–39, female	480	9.7%	100-499
Ages 15–24, male	360	7.3%	100-499
Ages 5–14, male	345	7.0%	100-499
Ages 5–14, female	330	6.7%	100-499
Ages 15–24, female	310	6.2%	100-499

Commuting (work and study)

Commuting indicators for Rio das Antas/SC
Employed persons (aged 10 and over)	3,115
Commute out to work in another municipality	435
Commute in from another municipality to work here	260
Net commuting	−175
Out-commuting rate (%)	13.93
Commuting attraction index	0.936
Median commuting time	30 min

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

Open Rio das Antas/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]: Rio das Antas/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/rio-das-antas-sc-4214409/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.