Migration in Montes Claros/MG (2017–2022)

Montes Claros/MG had a reference population (aged 5 or over in 2022) of 386,890 people. In the 2017–2022 five-year period, the municipality received 22,050 in-migrants and lost 22,255 out-migrants to other municipalities in Brazil, resulting in a net migration of −205 people (−0.53 per 1,000 population) and a migration effectiveness index (IEM) of −0.005. This classifies the municipality, for the period, as one of migratory depletion. In addition, 220 arrived with an unreported origin and 180 came from abroad.

Indicators

Migration indicators for Montes Claros/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	22,050	20,643 to 23,457	good
Out-migrants	22,255	20,783 to 23,727	good
Net migration	−205	−2,242 to 1,832	not classified
Net migration rate, TLM (per 1,000 pop.)	−0.53	-	-
Migration effectiveness index (IEM)	−0.005	-	-

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Montes Claros/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	2,150	good
São Paulo/SP · view pair in the atlas	1,365	good
Coração de Jesus/MG · view pair in the atlas	830	use with caution
Francisco Sá/MG · view pair in the atlas	730	use with caution
Bocaiúva/MG · view pair in the atlas	595	use with caution
Januária/MG · view pair in the atlas	540	use with caution
São João da Ponte/MG · view pair in the atlas	530	use with caution
Janaúba/MG · view pair in the atlas	510	use with caution
Brasília de Minas/MG · view pair in the atlas	470	use with caution
Brasília/DF · view pair in the atlas	440	use with caution

Top 10 destinations of out-migrants from Montes Claros/MG
Destination	People	Precision
Belo Horizonte/MG · view pair in the atlas	1,750	use with caution
Uberlândia/MG · view pair in the atlas	770	use with caution
Coração de Jesus/MG · view pair in the atlas	620	use with caution
São Paulo/SP · view pair in the atlas	580	use with caution
Janaúba/MG · view pair in the atlas	560	use with caution
Januária/MG · view pair in the atlas	530	use with caution
Pirapora/MG · view pair in the atlas	465	use with caution
São Francisco/MG · view pair in the atlas	400	use with caution
Francisco Sá/MG · view pair in the atlas	375	use with caution
Salinas/MG · view pair in the atlas	325	use with caution

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	9,250	42.0%	>=500
Multi-step migration	7,190	32.6%	>=500
Return to municipality of birth	5,590	25.4%	>=500
Other / suppressed	20	0.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	5,495	41.3%	>=500
Completed higher education	4,075	30.6%	100-499
No schooling or incomplete elementary	2,520	18.9%	100-499
Completed elementary, incomplete high school	1,230	9.2%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	6,085	27.6%	>=500
1 to 2 minimum wages	5,395	24.5%	>=500
More than 2 minimum wages	4,160	18.9%	100-499
¼ to ½ minimum wage	3,800	17.2%	100-499
Up to ¼ of a minimum wage	1,985	9.0%	100-499
Not applicable (collective dwelling)	630	2.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	4,125	18.7%	100-499
Ages 25–39, male	3,700	16.8%	100-499
Ages 15–24, female	3,340	15.2%	100-499
Ages 15–24, male	2,565	11.6%	100-499
Ages 40–59, female	2,055	9.3%	100-499
Ages 40–59, male	2,020	9.2%	100-499
Ages 5–14, male	1,425	6.5%	100-499
Ages 5–14, female	1,400	6.4%	100-499
Ages 60 and over, female	735	3.3%	50-99
Ages 60 and over, male	680	3.1%	50-99

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	11,560	51.9%	>=500
Multi-step migration	6,300	28.3%	>=500
Return to municipality of birth	4,385	19.7%	>=500
Other / suppressed	15	0.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	6,865	45.8%	>=500
Completed high school, incomplete higher education	4,790	31.9%	>=500
No schooling or incomplete elementary	2,325	15.5%	100-499
Completed elementary, incomplete high school	1,025	6.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	6,330	28.4%	>=500
½ to 1 minimum wage	5,430	24.4%	>=500
1 to 2 minimum wages	5,055	22.7%	>=500
¼ to ½ minimum wage	3,260	14.7%	100-499
Up to ¼ of a minimum wage	2,030	9.1%	100-499
Not applicable (collective dwelling)	145	0.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	5,355	24.1%	>=500
Ages 25–39, male	4,560	20.5%	>=500
Ages 15–24, female	2,280	10.2%	100-499
Ages 40–59, female	2,045	9.2%	100-499
Ages 40–59, male	1,870	8.4%	100-499
Ages 15–24, male	1,735	7.8%	100-499
Ages 5–14, male	1,715	7.7%	100-499
Ages 5–14, female	1,520	6.8%	100-499
Ages 60 and over, female	640	2.9%	50-99
Ages 60 and over, male	525	2.4%	50-99
Other / suppressed	10	0.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	98,285	38.6%	>=500
No schooling or incomplete elementary	68,865	27.0%	>=500
Completed higher education	56,830	22.3%	>=500
Completed elementary, incomplete high school	30,915	12.1%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	129,435	33.0%	>=500
1 to 2 minimum wages	87,325	22.3%	>=500
¼ to ½ minimum wage	81,295	20.7%	>=500
More than 2 minimum wages	55,465	14.2%	>=500
Up to ¼ of a minimum wage	36,855	9.4%	>=500
Not applicable (collective dwelling)	1,425	0.4%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	54,710	15.0%	>=500
Ages 40–59, male	48,890	13.4%	>=500
Ages 25–39, female	48,690	13.4%	>=500
Ages 25–39, male	46,140	12.7%	>=500
Ages 60 and over, female	32,185	8.8%	>=500
Ages 15–24, female	29,785	8.2%	>=500
Ages 15–24, male	29,075	8.0%	>=500
Ages 5–14, male	25,905	7.1%	>=500
Ages 5–14, female	24,785	6.8%	>=500
Ages 60 and over, male	24,280	6.7%	>=500

Commuting (work and study)

Commuting indicators for Montes Claros/MG
Employed persons (aged 10 and over)	198,990
Commute out to work in another municipality	4,910
Commute in from another municipality to work here	4,475
Net commuting	−435
Out-commuting rate (%)	2.47
Commuting attraction index	0.983
Median commuting time	60 min

Open Montes Claros/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]: Montes Claros/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/montes-claros-mg-3143302/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.