Migration in Marilac/MG (2017–2022)

Marilac/MG had a reference population (aged 5 or over in 2022) of 3,950 people. In the 2017–2022 five-year period, the municipality received 260 in-migrants and lost 215 out-migrants to other municipalities in Brazil, resulting in a net migration of +45 people (11.23 per 1,000 population) and a migration effectiveness index (IEM) of 0.094. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Marilac/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	260	183 to 337	use with caution
Out-migrants	215	110 to 320	use with caution
Net migration	+45	−85 to 175	not classified
Net migration rate, TLM (per 1,000 pop.)	11.23	-	-
Migration effectiveness index (IEM)	0.094	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Marilac/MG
Origin	People	Precision
Governador Valadares/MG · view pair in the atlas	85	use with caution
Belo Horizonte/MG · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Marilac/MG
Destination	People	Precision
Coroaci/MG · view pair in the atlas	35	low precision
Nacip Raydan/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	100	38.5%	20-49
Multi-step migration	95	36.5%	20-49
Return to municipality of birth	65	25.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	60	35.3%	20-49
Completed high school, incomplete higher education	45	26.5%	5-19
Completed elementary, incomplete high school	45	26.5%	5-19
Completed higher education	20	11.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	120	46.2%	20-49
Up to ¼ of a minimum wage	40	15.4%	5-19
¼ to ½ minimum wage	40	15.4%	5-19
1 to 2 minimum wages	30	11.5%	5-19
More than 2 minimum wages	30	11.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	35	13.5%	5-19
Ages 15–24, female	35	13.5%	5-19
Ages 25–39, female	35	13.5%	5-19
Ages 5–14, female	30	11.5%	5-19
Ages 25–39, male	25	9.6%	5-19
Ages 40–59, male	25	9.6%	5-19
Ages 60 and over, male	25	9.6%	5-19
Ages 60 and over, female	20	7.7%	5-19
Ages 5–14, male	15	5.8%	5-19
Ages 15–24, male	15	5.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	150	71.4%	20-49
First move from municipality of birth	45	21.4%	5-19
Other / suppressed	15	7.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	60	60.0%	5-19
Other / suppressed	40	40.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	80	38.1%	5-19
1 to 2 minimum wages	50	23.8%	5-19
½ to 1 minimum wage	40	19.0%	5-19
Other / suppressed	40	19.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	115	53.5%	20-49
Ages 15–24, female	50	23.3%	5-19
Ages 60 and over, female	25	11.6%	5-19
Ages 60 and over, male	25	11.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,485	57.7%	100-499
Completed high school, incomplete higher education	620	24.1%	100-499
Completed elementary, incomplete high school	260	10.1%	50-99
Completed higher education	210	8.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,700	42.9%	>=500
¼ to ½ minimum wage	995	25.1%	100-499
Up to ¼ of a minimum wage	605	15.3%	100-499
1 to 2 minimum wages	445	11.2%	100-499
More than 2 minimum wages	220	5.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	520	14.1%	100-499
Ages 40–59, male	510	13.8%	100-499
Ages 60 and over, female	415	11.2%	100-499
Ages 25–39, female	410	11.1%	100-499
Ages 25–39, male	395	10.7%	100-499
Ages 15–24, male	335	9.1%	100-499
Ages 60 and over, male	320	8.7%	50-99
Ages 15–24, female	275	7.5%	50-99
Ages 5–14, male	260	7.0%	50-99
Ages 5–14, female	250	6.8%	50-99

Commuting (work and study)

Commuting indicators for Marilac/MG
Employed persons (aged 10 and over)	1,690
Commute out to work in another municipality	25
Commute in from another municipality to work here	30
Net commuting	+5
Out-commuting rate (%)	1.35
Commuting attraction index	0.973
Median commuting time	30 min

Open Marilac/MG 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]: Marilac/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/marilac-mg-3140100/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.