Migration in Timbó Grande/SC (2017–2022)

Timbó Grande/SC had a reference population (aged 5 or over in 2022) of 6,760 people. In the 2017–2022 five-year period, the municipality received 595 in-migrants and lost 485 out-migrants to other municipalities in Brazil, resulting in a net migration of +110 people (16.53 per 1,000 population) and a migration effectiveness index (IEM) of 0.104. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Timbó Grande/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	595	419 to 771	use with caution
Out-migrants	485	294 to 676	use with caution
Net migration	+110	−149 to 369	not classified
Net migration rate, TLM (per 1,000 pop.)	16.53	-	-
Migration effectiveness index (IEM)	0.104	-	-

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 Timbó Grande/SC
Origin	People	Precision
Lebon Régis/SC · view pair in the atlas	45	low precision
Canoinhas/SC · view pair in the atlas	45	low precision
Caçador/SC · view pair in the atlas	40	low precision
Santa Cecília/SC · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Timbó Grande/SC
Destination	People	Precision
Caçador/SC · view pair in the atlas	75	low precision
Papanduva/SC · view pair in the atlas	30	low precision
Rio das Antas/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	340	57.6%	50-99
First move from municipality of birth	140	23.7%	20-49
Return to municipality of birth	105	17.8%	20-49
Other / suppressed	5	0.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	38.2%	20-49
Completed elementary, incomplete high school	105	30.9%	20-49
Completed high school, incomplete higher education	80	23.5%	5-19
Other / suppressed	25	7.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	185	31.4%	20-49
¼ to ½ minimum wage	175	29.7%	20-49
½ to 1 minimum wage	145	24.6%	20-49
More than 2 minimum wages	55	9.3%	5-19
Up to ¼ of a minimum wage	30	5.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	90	15.0%	5-19
Ages 25–39, male	90	15.0%	5-19
Ages 25–39, female	85	14.2%	5-19
Ages 15–24, female	65	10.8%	5-19
Ages 40–59, male	65	10.8%	5-19
Ages 40–59, female	65	10.8%	5-19
Ages 5–14, male	50	8.3%	5-19
Ages 5–14, female	50	8.3%	5-19
Ages 60 and over, male	25	4.2%	5-19
Other / suppressed	15	2.5%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	260	53.6%	20-49
First move from municipality of birth	165	34.0%	20-49
Return to municipality of birth	60	12.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	36.7%	5-19
Completed high school, incomplete higher education	95	31.7%	5-19
Completed elementary, incomplete high school	70	23.3%	5-19
Completed higher education	25	8.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	185	38.5%	20-49
1 to 2 minimum wages	170	35.4%	20-49
¼ to ½ minimum wage	70	14.6%	5-19
More than 2 minimum wages	55	11.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	85	17.5%	5-19
Ages 15–24, male	55	11.3%	5-19
Ages 25–39, male	50	10.3%	5-19
Ages 15–24, female	50	10.3%	5-19
Ages 40–59, female	45	9.3%	5-19
Ages 5–14, male	45	9.3%	5-19
Ages 25–39, female	40	8.2%	5-19
Ages 60 and over, male	40	8.2%	5-19
Ages 5–14, female	30	6.2%	5-19
Ages 60 and over, female	30	6.2%	5-19
Other / suppressed	15	3.1%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,805	45.5%	100-499
Completed high school, incomplete higher education	1,110	28.0%	100-499
Completed elementary, incomplete high school	720	18.2%	100-499
Completed higher education	330	8.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,840	42.1%	>=500
1 to 2 minimum wages	1,675	24.9%	100-499
¼ to ½ minimum wage	1,415	21.0%	100-499
More than 2 minimum wages	425	6.3%	50-99
Up to ¼ of a minimum wage	385	5.7%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	865	14.0%	100-499
Ages 40–59, female	795	12.9%	100-499
Ages 25–39, male	770	12.5%	100-499
Ages 25–39, female	760	12.3%	100-499
Ages 15–24, female	565	9.2%	100-499
Ages 15–24, male	560	9.1%	100-499
Ages 5–14, male	550	8.9%	100-499
Ages 5–14, female	525	8.5%	100-499
Ages 60 and over, male	410	6.7%	50-99
Ages 60 and over, female	360	5.8%	50-99

Commuting (work and study)

Commuting indicators for Timbó Grande/SC
Employed persons (aged 10 and over)	3,065
Commute out to work in another municipality	95
Commute in from another municipality to work here	90
Net commuting	−10
Out-commuting rate (%)	3.16
Commuting attraction index	0.977
Median commuting time	100 min

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

Open Timbó Grande/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]: Timbó Grande/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/timbo-grande-sc-4218251/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.