Migration in Descanso/SC (2017–2022)

Descanso/SC had a reference population (aged 5 or over in 2022) of 8,055 people. In the 2017–2022 five-year period, the municipality received 675 in-migrants and lost 690 out-migrants to other municipalities in Brazil, resulting in a net migration of −15 people (−1.81 per 1,000 population) and a migration effectiveness index (IEM) of −0.011. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 60 came from abroad.

Indicators

Migration indicators for Descanso/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	675	513 to 837	good
Out-migrants	690	494 to 886	good
Net migration	−15	−269 to 239	not classified
Net migration rate, TLM (per 1,000 pop.)	−1.81	-	-
Migration effectiveness index (IEM)	−0.011	-	-

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 Descanso/SC
Origin	People	Precision
São Miguel do Oeste/SC · view pair in the atlas	180	use with caution
Iporã do Oeste/SC · view pair in the atlas	40	low precision
Belmonte/SC · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Descanso/SC
Destination	People	Precision
São Miguel do Oeste/SC · view pair in the atlas	310	use with caution
Iporã do Oeste/SC · view pair in the atlas	80	low precision
Belmonte/SC · view pair in the atlas	20	low precision
Tunápolis/SC · view pair in the atlas	20	low precision
Santa Helena/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	300	44.4%	50-99
First move from municipality of birth	195	28.9%	20-49
Return to municipality of birth	180	26.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	155	33.7%	20-49
Completed higher education	110	23.9%	20-49
Completed elementary, incomplete high school	100	21.7%	5-19
No schooling or incomplete elementary	95	20.7%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	350	51.5%	50-99
½ to 1 minimum wage	185	27.2%	20-49
More than 2 minimum wages	105	15.4%	20-49
Other / suppressed	40	5.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	125	18.5%	20-49
Ages 25–39, female	125	18.5%	20-49
Ages 15–24, female	95	14.1%	5-19
Ages 40–59, male	70	10.4%	5-19
Ages 40–59, female	55	8.1%	5-19
Ages 60 and over, female	45	6.7%	5-19
Ages 5–14, female	45	6.7%	5-19
Ages 5–14, male	45	6.7%	5-19
Ages 60 and over, male	45	6.7%	5-19
Ages 15–24, male	25	3.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	350	50.7%	50-99
Multi-step migration	220	31.9%	20-49
Return to municipality of birth	120	17.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	155	36.5%	20-49
Completed high school, incomplete higher education	130	30.6%	20-49
No schooling or incomplete elementary	105	24.7%	20-49
Completed elementary, incomplete high school	35	8.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	250	36.2%	20-49
1 to 2 minimum wages	230	33.3%	20-49
½ to 1 minimum wage	95	13.8%	20-49
¼ to ½ minimum wage	75	10.9%	5-19
Other / suppressed	40	5.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	135	19.6%	20-49
Ages 25–39, female	135	19.6%	5-19
Ages 15–24, female	90	13.0%	5-19
Ages 15–24, male	80	11.6%	5-19
Ages 40–59, female	75	10.9%	5-19
Ages 5–14, male	60	8.7%	5-19
Ages 5–14, female	35	5.1%	5-19
Ages 60 and over, female	35	5.1%	5-19
Ages 40–59, male	30	4.3%	5-19
Other / suppressed	15	2.2%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,925	50.9%	>=500
Completed high school, incomplete higher education	1,340	23.3%	100-499
Completed higher education	740	12.9%	100-499
Completed elementary, incomplete high school	740	12.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	2,940	37.7%	>=500
More than 2 minimum wages	2,355	30.2%	100-499
½ to 1 minimum wage	2,150	27.6%	100-499
¼ to ½ minimum wage	315	4.0%	50-99
Up to ¼ of a minimum wage	40	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,135	15.5%	100-499
Ages 40–59, female	1,115	15.2%	100-499
Ages 60 and over, female	1,055	14.4%	100-499
Ages 60 and over, male	975	13.3%	100-499
Ages 25–39, male	750	10.3%	100-499
Ages 25–39, female	715	9.8%	100-499
Ages 15–24, male	455	6.2%	50-99
Ages 5–14, male	430	5.9%	50-99
Ages 5–14, female	355	4.9%	50-99
Ages 15–24, female	330	4.5%	50-99

Commuting (work and study)

Commuting indicators for Descanso/SC
Employed persons (aged 10 and over)	4,765
Commute out to work in another municipality	910
Commute in from another municipality to work here	315
Net commuting	−595
Out-commuting rate (%)	19.11
Commuting attraction index	0.849
Median commuting time	20 min

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

Open Descanso/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]: Descanso/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/descanso-sc-4204905/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.