Migration in Muçum/RS (2017–2022)

Muçum/RS had a reference population (aged 5 or over in 2022) of 4,375 people. In the 2017–2022 five-year period, the municipality received 525 in-migrants and lost 365 out-migrants to other municipalities in Brazil, resulting in a net migration of +160 people (36.60 per 1,000 population) and a migration effectiveness index (IEM) of 0.180. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 65 came from abroad.

Indicators

Migration indicators for Muçum/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	525	395 to 655	good
Out-migrants	365	239 to 491	use with caution
Net migration	+160	−21 to 341	not classified
Net migration rate, TLM (per 1,000 pop.)	36.60	-	-
Migration effectiveness index (IEM)	0.180	-	-

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 Muçum/RS
Origin	People	Precision
Encantado/RS · view pair in the atlas	105	low precision
Roca Sales/RS · view pair in the atlas	50	low precision
Porto Alegre/RS · view pair in the atlas	30	low precision
Doutor Ricardo/RS · view pair in the atlas	25	low precision
Lajeado/RS · view pair in the atlas	25	low precision
Caxias do Sul/RS · view pair in the atlas	15	low precision
Bento Gonçalves/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Muçum/RS
Destination	People	Precision
Roca Sales/RS · view pair in the atlas	60	low precision
Lajeado/RS · view pair in the atlas	50	low precision
Vespasiano Corrêa/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	270	51.4%	50-99
First move from municipality of birth	160	30.5%	50-99
Return to municipality of birth	90	17.1%	20-49
Other / suppressed	5	1.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	32.4%	20-49
Completed high school, incomplete higher education	105	30.9%	20-49
Completed elementary, incomplete high school	80	23.5%	20-49
Completed higher education	45	13.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	225	42.9%	50-99
½ to 1 minimum wage	135	25.7%	20-49
More than 2 minimum wages	70	13.3%	20-49
¼ to ½ minimum wage	50	9.5%	5-19
Up to ¼ of a minimum wage	35	6.7%	5-19
Other / suppressed	10	1.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	18.9%	20-49
Ages 25–39, male	100	18.9%	20-49
Ages 15–24, female	60	11.3%	5-19
Ages 40–59, male	55	10.4%	5-19
Ages 15–24, male	50	9.4%	5-19
Ages 5–14, male	45	8.5%	5-19
Ages 5–14, female	35	6.6%	5-19
Ages 40–59, female	35	6.6%	5-19
Ages 60 and over, female	30	5.7%	5-19
Ages 60 and over, male	20	3.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	220	60.3%	20-49
Multi-step migration	95	26.0%	20-49
Return to municipality of birth	50	13.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	29.8%	5-19
No schooling or incomplete elementary	65	27.7%	5-19
Completed higher education	60	25.5%	5-19
Completed elementary, incomplete high school	40	17.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	145	39.7%	20-49
More than 2 minimum wages	105	28.8%	5-19
Other / suppressed	65	17.8%	5-19
½ to 1 minimum wage	50	13.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	95	25.7%	5-19
Ages 40–59, female	45	12.2%	5-19
Ages 25–39, female	45	12.2%	5-19
Ages 15–24, male	45	12.2%	5-19
Ages 5–14, male	40	10.8%	5-19
Other / suppressed	30	8.1%	5-19
Ages 15–24, female	30	8.1%	5-19
Ages 40–59, male	25	6.8%	5-19
Ages 5–14, female	15	4.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,455	47.9%	100-499
Completed high school, incomplete higher education	800	26.3%	100-499
Completed elementary, incomplete high school	430	14.1%	100-499
Completed higher education	355	11.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,515	37.8%	>=500
More than 2 minimum wages	1,240	30.9%	100-499
½ to 1 minimum wage	970	24.2%	100-499
¼ to ½ minimum wage	225	5.6%	50-99
Up to ¼ of a minimum wage	35	0.9%	5-19
Not applicable (collective dwelling)	25	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	710	18.8%	100-499
Ages 40–59, female	605	16.0%	100-499
Ages 40–59, male	565	14.9%	100-499
Ages 60 and over, male	555	14.7%	100-499
Ages 25–39, female	315	8.3%	100-499
Ages 25–39, male	285	7.5%	50-99
Ages 5–14, female	215	5.7%	50-99
Ages 15–24, male	185	4.9%	20-49
Ages 5–14, male	175	4.6%	50-99
Ages 15–24, female	170	4.5%	50-99

Commuting (work and study)

Commuting indicators for Muçum/RS
Employed persons (aged 10 and over)	2,360
Commute out to work in another municipality	445
Commute in from another municipality to work here	450
Net commuting	+5
Out-commuting rate (%)	18.86
Commuting attraction index	0.995
Median commuting time	20 min

Open Muçum/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]: Muçum/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mucum-rs-4312609/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.