Migration in Mathias Lobato/MG (2017–2022)

Mathias Lobato/MG had a reference population (aged 5 or over in 2022) of 2,855 people. In the 2017–2022 five-year period, the municipality received 205 in-migrants and lost 120 out-migrants to other municipalities in Brazil, resulting in a net migration of +85 people (30.06 per 1,000 population) and a migration effectiveness index (IEM) of 0.261. 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 Mathias Lobato/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	205	129 to 281	use with caution
Out-migrants	120	55 to 185	use with caution
Net migration	+85	−15 to 185	not classified
Net migration rate, TLM (per 1,000 pop.)	30.06	-	-
Migration effectiveness index (IEM)	0.261	-	-

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 Mathias Lobato/MG
Origin	People	Precision
Governador Valadares/MG · view pair in the atlas	40	low precision
Frei Inocêncio/MG · view pair in the atlas	30	low precision
Jampruca/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Mathias Lobato/MG
Destination	People	Precision
Frei Inocêncio/MG · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	95	45.2%	20-49
Multi-step migration	80	38.1%	20-49
Return to municipality of birth	35	16.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	61.5%	20-49
Completed high school, incomplete higher education	20	15.4%	5-19
Completed higher education	15	11.5%	5-19
Completed elementary, incomplete high school	15	11.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	75	35.7%	20-49
¼ to ½ minimum wage	65	31.0%	20-49
Up to ¼ of a minimum wage	30	14.3%	5-19
1 to 2 minimum wages	30	14.3%	5-19
Other / suppressed	10	4.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	40	20.5%	5-19
Ages 5–14, male	35	17.9%	5-19
Ages 25–39, female	25	12.8%	5-19
Ages 60 and over, male	20	10.3%	5-19
Other / suppressed	20	10.3%	5-19
Ages 25–39, male	15	7.7%	5-19
Ages 60 and over, female	15	7.7%	5-19
Ages 15–24, female	15	7.7%	5-19
Ages 15–24, male	10	5.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	80	66.7%	5-19
First move from municipality of birth	25	20.8%	5-19
Other / suppressed	15	12.5%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Other / suppressed	45	64.3%	5-19
Completed elementary, incomplete high school	25	35.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	50	40.0%	5-19
¼ to ½ minimum wage	45	36.0%	5-19
Up to ¼ of a minimum wage	20	16.0%	5-19
Other / suppressed	10	8.0%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	60	50.0%	5-19
Ages 5–14, male	25	20.8%	5-19
Ages 25–39, female	25	20.8%	5-19
Ages 15–24, female	10	8.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	940	53.9%	100-499
Completed high school, incomplete higher education	420	24.1%	100-499
Completed elementary, incomplete high school	265	15.2%	50-99
Completed higher education	120	6.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,190	42.2%	100-499
¼ to ½ minimum wage	775	27.5%	100-499
1 to 2 minimum wages	430	15.2%	100-499
Up to ¼ of a minimum wage	355	12.6%	100-499
More than 2 minimum wages	70	2.5%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	360	13.6%	100-499
Ages 40–59, male	300	11.4%	100-499
Ages 25–39, female	290	11.0%	100-499
Ages 25–39, male	285	10.8%	100-499
Ages 60 and over, female	280	10.6%	50-99
Ages 15–24, male	240	9.1%	50-99
Ages 15–24, female	230	8.7%	50-99
Ages 60 and over, male	230	8.7%	50-99
Ages 5–14, male	220	8.3%	50-99
Ages 5–14, female	205	7.8%	50-99

Commuting (work and study)

Commuting indicators for Mathias Lobato/MG
Employed persons (aged 10 and over)	1,120
Commute out to work in another municipality	140
Commute in from another municipality to work here	70
Net commuting	−75
Out-commuting rate (%)	12.71
Commuting attraction index	0.919
Median commuting time	20 min

Open Mathias Lobato/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]: Mathias Lobato/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mathias-lobato-mg-3171501/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.