Migration in Tabaí/RS (2017–2022)

Tabaí/RS had a reference population (aged 5 or over in 2022) of 4,160 people. In the 2017–2022 five-year period, the municipality received 630 in-migrants and lost 420 out-migrants to other municipalities in Brazil, resulting in a net migration of +210 people (50.82 per 1,000 population) and a migration effectiveness index (IEM) of 0.201. 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 Tabaí/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	630	483 to 777	good
Out-migrants	420	230 to 610	use with caution
Net migration	+210	−30 to 450	not classified
Net migration rate, TLM (per 1,000 pop.)	50.82	-	-
Migration effectiveness index (IEM)	0.201	-	-

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 Tabaí/RS
Origin	People	Precision
Taquari/RS · view pair in the atlas	100	use with caution
Canoas/RS · view pair in the atlas	70	low precision
Triunfo/RS · view pair in the atlas	55	low precision
São Leopoldo/RS · view pair in the atlas	40	low precision
Montenegro/RS · view pair in the atlas	35	low precision
Porto Alegre/RS · view pair in the atlas	35	low precision
Venâncio Aires/RS · view pair in the atlas	30	low precision
São Miguel do Oeste/SC · view pair in the atlas	25	low precision
Paverama/RS · view pair in the atlas	20	low precision
Bom Retiro do Sul/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Tabaí/RS
Destination	People	Precision
Taquari/RS · view pair in the atlas	150	low precision
Paverama/RS · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	350	56.0%	100-499
First move from municipality of birth	245	39.2%	50-99
Return to municipality of birth	30	4.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	53.8%	50-99
Completed elementary, incomplete high school	85	21.2%	20-49
Completed high school, incomplete higher education	80	20.0%	20-49
Completed higher education	20	5.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	295	46.8%	50-99
1 to 2 minimum wages	240	38.1%	50-99
More than 2 minimum wages	50	7.9%	5-19
¼ to ½ minimum wage	40	6.3%	5-19
Other / suppressed	5	0.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	90	14.3%	20-49
Ages 40–59, female	80	12.7%	20-49
Ages 25–39, female	75	11.9%	20-49
Ages 15–24, male	65	10.3%	5-19
Ages 25–39, male	65	10.3%	20-49
Ages 5–14, male	60	9.5%	20-49
Ages 15–24, female	55	8.7%	5-19
Ages 60 and over, female	50	7.9%	5-19
Ages 5–14, female	50	7.9%	5-19
Ages 60 and over, male	40	6.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	260	61.9%	20-49
Return to municipality of birth	100	23.8%	5-19
First move from municipality of birth	60	14.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60	29.3%	5-19
No schooling or incomplete elementary	55	26.8%	5-19
Completed elementary, incomplete high school	50	24.4%	5-19
Other / suppressed	40	19.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	115	27.7%	5-19
¼ to ½ minimum wage	100	24.1%	5-19
More than 2 minimum wages	95	22.9%	5-19
½ to 1 minimum wage	75	18.1%	5-19
Other / suppressed	30	7.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	70	16.7%	5-19
Ages 15–24, female	70	16.7%	5-19
Ages 25–39, male	65	15.5%	5-19
Ages 5–14, female	60	14.3%	5-19
Ages 5–14, male	60	14.3%	5-19
Ages 40–59, female	50	11.9%	5-19
Ages 40–59, male	45	10.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,515	57.7%	>=500
Completed high school, incomplete higher education	465	17.7%	100-499
Completed elementary, incomplete high school	435	16.6%	100-499
Completed higher education	210	8.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,700	44.4%	>=500
½ to 1 minimum wage	1,065	27.8%	100-499
More than 2 minimum wages	575	15.0%	100-499
¼ to ½ minimum wage	440	11.5%	100-499
Up to ¼ of a minimum wage	45	1.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	535	15.2%	100-499
Ages 40–59, male	535	15.2%	100-499
Ages 60 and over, female	435	12.3%	100-499
Ages 60 and over, male	385	10.9%	100-499
Ages 25–39, male	375	10.6%	100-499
Ages 25–39, female	360	10.2%	100-499
Ages 5–14, male	245	7.0%	50-99
Ages 5–14, female	225	6.4%	50-99
Ages 15–24, female	215	6.1%	50-99
Ages 15–24, male	215	6.1%	50-99

Commuting (work and study)

Commuting indicators for Tabaí/RS
Employed persons (aged 10 and over)	2,325
Commute out to work in another municipality	535
Commute in from another municipality to work here	355
Net commuting	−180
Out-commuting rate (%)	23.06
Commuting attraction index	0.916
Median commuting time	30 min

Open Tabaí/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]: Tabaí/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/tabai-rs-4320859/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.