Migration in Alpestre/RS (2017–2022)

Alpestre/RS had a reference population (aged 5 or over in 2022) of 6,775 people. In the 2017–2022 five-year period, the municipality received 475 in-migrants and lost 555 out-migrants to other municipalities in Brazil, resulting in a net migration of −80 people (−11.88 per 1,000 population) and a migration effectiveness index (IEM) of −0.078. 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 Alpestre/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	475	369 to 581	good
Out-migrants	555	373 to 737	use with caution
Net migration	−80	−290 to 130	not classified
Net migration rate, TLM (per 1,000 pop.)	−11.88	-	-
Migration effectiveness index (IEM)	−0.078	-	-

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 Alpestre/RS
Origin	People	Precision
Bento Gonçalves/RS · view pair in the atlas	65	low precision
Chapecó/SC · view pair in the atlas	50	low precision
Planalto/RS · view pair in the atlas	35	low precision
Caxias do Sul/RS · view pair in the atlas	35	low precision
Farroupilha/RS · view pair in the atlas	30	low precision
Nonoai/RS · view pair in the atlas	25	low precision
Marau/RS · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Alpestre/RS
Destination	People	Precision
Chapecó/SC · view pair in the atlas	105	low precision
Planalto/RS · view pair in the atlas	85	low precision
Iraí/RS · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	205	43.2%	50-99
First move from municipality of birth	145	30.5%	50-99
Multi-step migration	125	26.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	43.1%	50-99
Completed high school, incomplete higher education	95	29.2%	20-49
Completed elementary, incomplete high school	60	18.5%	20-49
Completed higher education	30	9.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	33.3%	50-99
1 to 2 minimum wages	140	29.2%	50-99
¼ to ½ minimum wage	100	20.8%	20-49
More than 2 minimum wages	50	10.4%	5-19
Up to ¼ of a minimum wage	30	6.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	85	18.1%	20-49
Ages 25–39, female	75	16.0%	20-49
Ages 40–59, female	70	14.9%	20-49
Ages 25–39, male	55	11.7%	5-19
Ages 5–14, male	50	10.6%	20-49
Ages 5–14, female	45	9.6%	5-19
Ages 15–24, female	35	7.4%	5-19
Ages 15–24, male	20	4.3%	5-19
Ages 60 and over, male	20	4.3%	5-19
Ages 60 and over, female	15	3.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	365	65.8%	50-99
Multi-step migration	160	28.8%	20-49
Return to municipality of birth	25	4.5%	5-19
Other / suppressed	5	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	36.7%	20-49
Completed elementary, incomplete high school	85	28.3%	5-19
Completed higher education	60	20.0%	5-19
Completed high school, incomplete higher education	45	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	220	40.0%	20-49
½ to 1 minimum wage	150	27.3%	20-49
More than 2 minimum wages	135	24.5%	5-19
¼ to ½ minimum wage	30	5.5%	5-19
Other / suppressed	15	2.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	155	27.9%	5-19
Ages 40–59, female	90	16.2%	5-19
Ages 25–39, female	70	12.6%	5-19
Ages 25–39, male	55	9.9%	5-19
Ages 15–24, male	50	9.0%	5-19
Ages 40–59, male	50	9.0%	5-19
Ages 5–14, female	25	4.5%	5-19
Ages 60 and over, male	25	4.5%	5-19
Ages 5–14, male	20	3.6%	5-19
Other / suppressed	15	2.7%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,105	62.9%	>=500
Completed high school, incomplete higher education	725	14.7%	100-499
Completed elementary, incomplete high school	695	14.1%	100-499
Completed higher education	415	8.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	2,395	36.1%	>=500
½ to 1 minimum wage	1,915	28.9%	>=500
More than 2 minimum wages	1,630	24.6%	>=500
¼ to ½ minimum wage	520	7.8%	100-499
Up to ¼ of a minimum wage	170	2.6%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,010	16.0%	100-499
Ages 60 and over, female	985	15.6%	100-499
Ages 40–59, female	955	15.2%	100-499
Ages 60 and over, male	910	14.5%	100-499
Ages 25–39, male	570	9.1%	100-499
Ages 25–39, female	510	8.1%	100-499
Ages 15–24, male	375	6.0%	100-499
Ages 5–14, male	350	5.6%	100-499
Ages 15–24, female	320	5.1%	100-499
Ages 5–14, female	310	4.9%	100-499

Commuting (work and study)

Commuting indicators for Alpestre/RS
Employed persons (aged 10 and over)	4,325
Commute out to work in another municipality	300
Commute in from another municipality to work here	110
Net commuting	−185
Out-commuting rate (%)	6.90
Commuting attraction index	0.943
Median commuting time	60 min

Open Alpestre/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]: Alpestre/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alpestre-rs-4300505/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.