Migration in Tucunduva/RS (2017–2022)

Tucunduva/RS had a reference population (aged 5 or over in 2022) of 5,265 people. In the 2017–2022 five-year period, the municipality received 235 in-migrants and lost 410 out-migrants to other municipalities in Brazil, resulting in a net migration of −175 people (−33.01 per 1,000 population) and a migration effectiveness index (IEM) of −0.269. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Tucunduva/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	235	163 to 307	use with caution
Out-migrants	410	291 to 529	good
Net migration	−175	−314 to −36	not classified
Net migration rate, TLM (per 1,000 pop.)	−33.01	-	-
Migration effectiveness index (IEM)	−0.269	-	-

Sample of in-migrants: 50-99 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 Tucunduva/RS
Origin	People	Precision
Horizontina/RS · view pair in the atlas	25	low precision
Santa Rosa/RS · view pair in the atlas	20	low precision
Novo Machado/RS · view pair in the atlas	20	low precision
Tuparendi/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Tucunduva/RS
Destination	People	Precision
Santa Rosa/RS · view pair in the atlas	65	low precision
Horizontina/RS · view pair in the atlas	35	low precision
Tuparendi/RS · view pair in the atlas	35	low precision
Santo Cristo/RS · view pair in the atlas	20	low precision
Doutor Maurício Cardoso/RS · view pair in the atlas	20	low precision
Novo Machado/RS · view pair in the atlas	15	low precision
Porto Mauá/RS · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	100	41.7%	20-49
Multi-step migration	90	37.5%	20-49
First move from municipality of birth	50	20.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	55	30.6%	5-19
Completed higher education	50	27.8%	5-19
Completed high school, incomplete higher education	50	27.8%	5-19
Completed elementary, incomplete high school	25	13.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	85	35.4%	20-49
More than 2 minimum wages	65	27.1%	20-49
½ to 1 minimum wage	45	18.8%	5-19
¼ to ½ minimum wage	40	16.7%	5-19
Other / suppressed	5	2.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	50	20.8%	5-19
Ages 25–39, male	40	16.7%	5-19
Ages 60 and over, female	30	12.5%	5-19
Ages 40–59, male	30	12.5%	5-19
Other / suppressed	20	8.3%	5-19
Ages 15–24, female	20	8.3%	5-19
Ages 40–59, female	20	8.3%	5-19
Ages 5–14, female	15	6.2%	5-19
Ages 5–14, male	15	6.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	280	68.3%	50-99
Multi-step migration	105	25.6%	20-49
Return to municipality of birth	25	6.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	105	36.2%	20-49
Completed higher education	70	24.1%	5-19
Completed elementary, incomplete high school	65	22.4%	5-19
No schooling or incomplete elementary	50	17.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	150	36.6%	20-49
½ to 1 minimum wage	120	29.3%	20-49
More than 2 minimum wages	70	17.1%	5-19
Other / suppressed	40	9.8%	5-19
¼ to ½ minimum wage	30	7.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	20.7%	20-49
Ages 25–39, male	85	20.7%	5-19
Ages 15–24, female	60	14.6%	5-19
Ages 40–59, male	50	12.2%	5-19
Ages 40–59, female	40	9.8%	5-19
Ages 15–24, male	30	7.3%	5-19
Other / suppressed	25	6.1%	5-19
Ages 5–14, male	20	4.9%	5-19
Ages 5–14, female	15	3.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,920	47.2%	>=500
Completed high school, incomplete higher education	985	24.2%	100-499
Completed higher education	590	14.5%	100-499
Completed elementary, incomplete high school	570	14.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,870	35.3%	>=500
½ to 1 minimum wage	1,510	28.5%	>=500
More than 2 minimum wages	1,135	21.4%	100-499
¼ to ½ minimum wage	545	10.3%	100-499
Up to ¼ of a minimum wage	235	4.4%	50-99
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	875	17.4%	100-499
Ages 40–59, female	830	16.5%	100-499
Ages 60 and over, male	750	14.9%	100-499
Ages 40–59, male	745	14.8%	100-499
Ages 25–39, female	435	8.6%	100-499
Ages 25–39, male	430	8.5%	100-499
Ages 15–24, male	285	5.7%	50-99
Ages 5–14, female	250	5.0%	50-99
Ages 15–24, female	245	4.9%	50-99
Ages 5–14, male	185	3.7%	50-99

Commuting (work and study)

Commuting indicators for Tucunduva/RS
Employed persons (aged 10 and over)	2,260
Commute out to work in another municipality	405
Commute in from another municipality to work here	100
Net commuting	−305
Out-commuting rate (%)	17.92
Commuting attraction index	0.840
Median commuting time	30 min

Open Tucunduva/RS 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]: Tucunduva/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/tucunduva-rs-4322103/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.