Migration in Alecrim/RS (2017–2022)

Alecrim/RS had a reference population (aged 5 or over in 2022) of 5,875 people. In the 2017–2022 five-year period, the municipality received 565 in-migrants and lost 525 out-migrants to other municipalities in Brazil, resulting in a net migration of +40 people (7.12 per 1,000 population) and a migration effectiveness index (IEM) of 0.038. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Alecrim/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	565	443 to 687	good
Out-migrants	525	367 to 683	use with caution
Net migration	+40	−160 to 240	not classified
Net migration rate, TLM (per 1,000 pop.)	7.12	-	-
Migration effectiveness index (IEM)	0.038	-	-

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 Alecrim/RS
Origin	People	Precision
Santa Rosa/RS · view pair in the atlas	155	use with caution
Dois Irmãos/RS · view pair in the atlas	65	low precision
Santo Cristo/RS · view pair in the atlas	55	low precision
Estância Velha/RS · view pair in the atlas	25	low precision
Caxias do Sul/RS · view pair in the atlas	20	low precision
Novo Hamburgo/RS · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Alecrim/RS
Destination	People	Precision
Santa Rosa/RS · view pair in the atlas	195	use with caution
Santo Cristo/RS · view pair in the atlas	55	low precision
Porto Vera Cruz/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	240	42.5%	50-99
First move from municipality of birth	170	30.1%	50-99
Multi-step migration	155	27.4%	50-99

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	205	48.2%	50-99
Completed high school, incomplete higher education	90	21.2%	20-49
Completed higher education	75	17.6%	20-49
Completed elementary, incomplete high school	55	12.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	225	39.8%	50-99
1 to 2 minimum wages	170	30.1%	50-99
¼ to ½ minimum wage	90	15.9%	20-49
More than 2 minimum wages	50	8.8%	5-19
Up to ¼ of a minimum wage	30	5.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	95	17.0%	20-49
Ages 25–39, female	90	16.1%	20-49
Ages 40–59, male	80	14.3%	20-49
Ages 25–39, male	65	11.6%	20-49
Ages 60 and over, male	65	11.6%	5-19
Ages 5–14, male	45	8.0%	5-19
Ages 15–24, male	35	6.2%	5-19
Ages 15–24, female	30	5.4%	5-19
Ages 5–14, female	30	5.4%	5-19
Ages 60 and over, female	25	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	285	54.8%	20-49
Multi-step migration	205	39.4%	20-49
Other / suppressed	30	5.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	38.2%	20-49
Completed high school, incomplete higher education	90	26.5%	5-19
Completed higher education	75	22.1%	5-19
Completed elementary, incomplete high school	45	13.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	150	28.8%	20-49
More than 2 minimum wages	150	28.8%	5-19
½ to 1 minimum wage	125	24.0%	5-19
Up to ¼ of a minimum wage	60	11.5%	5-19
¼ to ½ minimum wage	25	4.8%	5-19
Other / suppressed	10	1.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	85	16.2%	5-19
Ages 40–59, female	80	15.2%	5-19
Ages 40–59, male	80	15.2%	5-19
Ages 25–39, female	65	12.4%	5-19
Ages 15–24, female	65	12.4%	5-19
Ages 25–39, male	50	9.5%	5-19
Ages 60 and over, female	40	7.6%	5-19
Other / suppressed	30	5.7%	5-19
Ages 5–14, female	30	5.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,835	66.3%	>=500
Completed high school, incomplete higher education	630	14.7%	100-499
Completed elementary, incomplete high school	475	11.1%	100-499
Completed higher education	335	7.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,895	34.1%	>=500
1 to 2 minimum wages	1,830	33.0%	>=500
More than 2 minimum wages	870	15.7%	100-499
¼ to ½ minimum wage	730	13.2%	100-499
Up to ¼ of a minimum wage	220	4.0%	50-99
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	1,005	19.0%	100-499
Ages 60 and over, male	890	16.8%	100-499
Ages 40–59, male	860	16.2%	100-499
Ages 40–59, female	805	15.2%	100-499
Ages 25–39, male	370	7.0%	100-499
Ages 25–39, female	350	6.6%	100-499
Ages 5–14, male	270	5.1%	50-99
Ages 15–24, male	260	4.9%	50-99
Ages 5–14, female	255	4.8%	50-99
Ages 15–24, female	235	4.4%	50-99

Commuting (work and study)

Commuting indicators for Alecrim/RS
Employed persons (aged 10 and over)	2,720
Commute out to work in another municipality	220
Commute in from another municipality to work here	45
Net commuting	−175
Out-commuting rate (%)	8.15
Commuting attraction index	0.924
Median commuting time	48 min

Open Alecrim/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]: Alecrim/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alecrim-rs-4300307/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.