Migration in Alegria/RS (2017–2022)

Alegria/RS had a reference population (aged 5 or over in 2022) of 3,465 people. In the 2017–2022 five-year period, the municipality received 240 in-migrants and lost 320 out-migrants to other municipalities in Brazil, resulting in a net migration of −80 people (−22.62 per 1,000 population) and a migration effectiveness index (IEM) of −0.139. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Alegria/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	240	156 to 324	use with caution
Out-migrants	320	194 to 446	use with caution
Net migration	−80	−232 to 72	not classified
Net migration rate, TLM (per 1,000 pop.)	−22.62	-	-
Migration effectiveness index (IEM)	−0.139	-	-

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 Alegria/RS
Origin	People	Precision
Santa Rosa/RS · view pair in the atlas	30	low precision
São José do Inhacorá/RS · view pair in the atlas	25	low precision
Independência/RS · view pair in the atlas	25	low precision
Horizontina/RS · view pair in the atlas	15	low precision
Três de Maio/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Alegria/RS
Destination	People	Precision
Três de Maio/RS · view pair in the atlas	60	low precision
Independência/RS · view pair in the atlas	25	low precision
Inhacorá/RS · view pair in the atlas	20	low precision
Boa Vista do Buricá/RS · view pair in the atlas	20	low precision
Chiapetta/RS · view pair in the atlas	20	low precision
São José do Inhacorá/RS · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	145	60.4%	20-49
First move from municipality of birth	55	22.9%	20-49
Return to municipality of birth	40	16.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60	40.0%	20-49
No schooling or incomplete elementary	55	36.7%	5-19
Completed elementary, incomplete high school	30	20.0%	5-19
Other / suppressed	5	3.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	85	35.4%	20-49
More than 2 minimum wages	60	25.0%	20-49
¼ to ½ minimum wage	45	18.8%	5-19
1 to 2 minimum wages	40	16.7%	5-19
Other / suppressed	10	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	40	17.0%	5-19
Ages 40–59, female	40	17.0%	5-19
Ages 5–14, female	35	14.9%	5-19
Other / suppressed	35	14.9%	5-19
Ages 5–14, male	25	10.6%	5-19
Ages 40–59, male	25	10.6%	5-19
Ages 25–39, male	20	8.5%	5-19
Ages 15–24, male	15	6.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	165	51.6%	20-49
First move from municipality of birth	110	34.4%	20-49
Return to municipality of birth	45	14.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	47.9%	20-49
Completed elementary, incomplete high school	50	20.8%	5-19
Completed higher education	45	18.8%	5-19
Completed high school, incomplete higher education	30	12.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	90	28.1%	5-19
¼ to ½ minimum wage	85	26.6%	5-19
More than 2 minimum wages	60	18.8%	5-19
½ to 1 minimum wage	50	15.6%	5-19
Other / suppressed	35	10.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	60	18.5%	5-19
Ages 60 and over, female	55	16.9%	5-19
Ages 15–24, male	45	13.8%	5-19
Ages 60 and over, male	40	12.3%	5-19
Ages 40–59, female	40	12.3%	5-19
Ages 40–59, male	30	9.2%	5-19
Ages 15–24, female	30	9.2%	5-19
Ages 25–39, female	15	4.6%	5-19
Other / suppressed	10	3.1%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,665	64.3%	>=500
Completed high school, incomplete higher education	405	15.6%	100-499
Completed elementary, incomplete high school	340	13.1%	100-499
Completed higher education	180	6.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,040	30.6%	100-499
½ to 1 minimum wage	930	27.4%	100-499
More than 2 minimum wages	815	24.0%	100-499
¼ to ½ minimum wage	440	13.0%	100-499
Up to ¼ of a minimum wage	170	5.0%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	550	17.1%	100-499
Ages 40–59, male	530	16.5%	100-499
Ages 60 and over, male	525	16.4%	100-499
Ages 40–59, female	500	15.6%	100-499
Ages 25–39, male	260	8.1%	50-99
Ages 25–39, female	225	7.0%	50-99
Ages 5–14, male	175	5.5%	50-99
Ages 15–24, male	165	5.1%	50-99
Ages 15–24, female	155	4.8%	20-49
Ages 5–14, female	125	3.9%	50-99

Commuting (work and study)

Commuting indicators for Alegria/RS
Employed persons (aged 10 and over)	1,685
Commute out to work in another municipality	85
Commute in from another municipality to work here	80
Net commuting	0
Out-commuting rate (%)	4.90
Commuting attraction index	0.999
Median commuting time	40 min

Open Alegria/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]: Alegria/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alegria-rs-4300455/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.