Migration in Lontra/MG (2017–2022)

Lontra/MG had a reference population (aged 5 or over in 2022) of 8,190 people. In the 2017–2022 five-year period, the municipality received 680 in-migrants and lost 335 out-migrants to other municipalities in Brazil, resulting in a net migration of +340 people (41.75 per 1,000 population) and a migration effectiveness index (IEM) of 0.337. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Lontra/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	680	506 to 854	good
Out-migrants	335	180 to 490	use with caution
Net migration	+340	107 to 573	not classified
Net migration rate, TLM (per 1,000 pop.)	41.75	-	-
Migration effectiveness index (IEM)	0.337	-	-

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 Lontra/MG
Origin	People	Precision
São Paulo/SP · view pair in the atlas	150	low precision
Japonvar/MG · view pair in the atlas	125	use with caution
Montes Claros/MG · view pair in the atlas	85	low precision
Belo Horizonte/MG · view pair in the atlas	45	low precision

Top 10 destinations of out-migrants from Lontra/MG
Destination	People	Precision
Montes Claros/MG · view pair in the atlas	90	low precision
Japonvar/MG · view pair in the atlas	25	low precision
São Roque de Minas/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	240	35.3%	20-49
Multi-step migration	235	34.6%	20-49
First move from municipality of birth	205	30.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	180	46.2%	20-49
Completed high school, incomplete higher education	125	32.1%	20-49
Completed higher education	50	12.8%	5-19
Completed elementary, incomplete high school	35	9.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	285	42.2%	50-99
¼ to ½ minimum wage	210	31.1%	20-49
Up to ¼ of a minimum wage	115	17.0%	20-49
1 to 2 minimum wages	50	7.4%	5-19
Other / suppressed	15	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	120	17.6%	20-49
Ages 15–24, female	110	16.2%	5-19
Ages 25–39, male	85	12.5%	5-19
Ages 5–14, male	85	12.5%	5-19
Ages 60 and over, female	60	8.8%	5-19
Ages 60 and over, male	55	8.1%	5-19
Ages 15–24, male	55	8.1%	5-19
Ages 40–59, female	40	5.9%	5-19
Ages 5–14, female	40	5.9%	5-19
Ages 40–59, male	30	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	175	52.2%	20-49
Multi-step migration	130	38.8%	20-49
Other / suppressed	30	9.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	36.8%	5-19
Completed elementary, incomplete high school	60	31.6%	5-19
No schooling or incomplete elementary	50	26.3%	5-19
Other / suppressed	10	5.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	90	26.9%	5-19
¼ to ½ minimum wage	85	25.4%	5-19
Up to ¼ of a minimum wage	80	23.9%	5-19
½ to 1 minimum wage	70	20.9%	5-19
Other / suppressed	10	3.0%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	80	23.5%	5-19
Ages 15–24, female	65	19.1%	5-19
Ages 25–39, female	60	17.6%	5-19
Ages 25–39, male	55	16.2%	5-19
Ages 15–24, male	50	14.7%	5-19
Ages 40–59, male	30	8.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,750	52.5%	>=500
Completed high school, incomplete higher education	1,335	25.5%	100-499
Completed elementary, incomplete high school	590	11.3%	100-499
Completed higher education	560	10.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,830	34.9%	>=500
¼ to ½ minimum wage	2,620	32.3%	>=500
Up to ¼ of a minimum wage	1,495	18.4%	100-499
1 to 2 minimum wages	950	11.7%	100-499
More than 2 minimum wages	215	2.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,045	13.9%	100-499
Ages 40–59, female	960	12.8%	100-499
Ages 25–39, male	905	12.0%	100-499
Ages 25–39, female	880	11.7%	100-499
Ages 60 and over, female	770	10.2%	100-499
Ages 60 and over, male	675	9.0%	100-499
Ages 15–24, male	625	8.3%	100-499
Ages 5–14, male	555	7.4%	100-499
Ages 5–14, female	550	7.3%	100-499
Ages 15–24, female	550	7.3%	100-499

Commuting (work and study)

Commuting indicators for Lontra/MG
Employed persons (aged 10 and over)	3,270
Commute out to work in another municipality	435
Commute in from another municipality to work here	90
Net commuting	−345
Out-commuting rate (%)	13.31
Commuting attraction index	0.878
Median commuting time	60 min

Open Lontra/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]: Lontra/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/lontra-mg-3138658/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.