Migration in Painel/SC (2017–2022)

Painel/SC had a reference population (aged 5 or over in 2022) of 2,075 people. In the 2017–2022 five-year period, the municipality received 310 in-migrants and lost 145 out-migrants to other municipalities in Brazil, resulting in a net migration of +170 people (80.97 per 1,000 population) and a migration effectiveness index (IEM) of 0.368. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Painel/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	310	223 to 397	good
Out-migrants	145	69 to 221	use with caution
Net migration	+170	54 to 286	not classified
Net migration rate, TLM (per 1,000 pop.)	80.97	-	-
Migration effectiveness index (IEM)	0.368	-	-

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 Painel/SC
Origin	People	Precision
Lages/SC · view pair in the atlas	135	use with caution
Santana do Ipanema/AL · view pair in the atlas	40	low precision
São José do Cerrito/SC · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Painel/SC
Destination	People	Precision
Lages/SC · view pair in the atlas	55	low precision
Rio Rufino/SC · view pair in the atlas	15	low precision
Campo Belo do Sul/SC · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	205	66.1%	50-99
Multi-step migration	85	27.4%	20-49
Return to municipality of birth	20	6.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	39.0%	20-49
Completed elementary, incomplete high school	55	26.8%	20-49
Completed high school, incomplete higher education	40	19.5%	5-19
Completed higher education	30	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	32.3%	20-49
1 to 2 minimum wages	95	30.6%	20-49
¼ to ½ minimum wage	50	16.1%	20-49
More than 2 minimum wages	35	11.3%	5-19
Up to ¼ of a minimum wage	30	9.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	50	16.1%	5-19
Ages 25–39, male	45	14.5%	20-49
Ages 40–59, female	40	12.9%	20-49
Ages 25–39, female	35	11.3%	5-19
Ages 40–59, male	35	11.3%	5-19
Ages 60 and over, female	25	8.1%	5-19
Ages 5–14, male	25	8.1%	5-19
Ages 60 and over, male	25	8.1%	5-19
Ages 5–14, female	15	4.8%	5-19
Ages 15–24, female	15	4.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	65	44.8%	5-19
First move from municipality of birth	40	27.6%	5-19
Return to municipality of birth	40	27.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	70	56.0%	5-19
Other / suppressed	55	44.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	55	37.9%	5-19
½ to 1 minimum wage	40	27.6%	5-19
Other / suppressed	40	27.6%	5-19
¼ to ½ minimum wage	10	6.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	55	37.9%	5-19
Ages 40–59, male	45	31.0%	5-19
Ages 40–59, female	25	17.2%	5-19
Ages 25–39, female	20	13.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	705	52.4%	100-499
Completed elementary, incomplete high school	320	23.8%	100-499
Completed high school, incomplete higher education	215	16.0%	100-499
Completed higher education	105	7.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	735	38.7%	100-499
¼ to ½ minimum wage	435	22.9%	100-499
1 to 2 minimum wages	390	20.5%	100-499
Up to ¼ of a minimum wage	205	10.8%	100-499
More than 2 minimum wages	135	7.1%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	330	18.8%	100-499
Ages 40–59, female	260	14.8%	100-499
Ages 60 and over, male	230	13.1%	100-499
Ages 60 and over, female	205	11.6%	100-499
Ages 25–39, male	170	9.7%	50-99
Ages 25–39, female	150	8.5%	50-99
Ages 5–14, male	110	6.2%	50-99
Ages 5–14, female	110	6.2%	20-49
Ages 15–24, female	100	5.7%	50-99
Ages 15–24, male	95	5.4%	20-49

Commuting (work and study)

Commuting indicators for Painel/SC
Employed persons (aged 10 and over)	800
Commute out to work in another municipality	45
Commute in from another municipality to work here	120
Net commuting	+75
Out-commuting rate (%)	5.64
Commuting attraction index	0.995
Median commuting time	50 min

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

Open Painel/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]: Painel/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/painel-sc-4211892/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.