Migration in Belo Horizonte/MG (2017–2022)

Belo Horizonte/MG had a reference population (aged 5 or over in 2022) of 2,203,745 people. In the 2017–2022 five-year period, the municipality received 92,560 in-migrants and lost 209,785 out-migrants to other municipalities in Brazil, resulting in a net migration of −117,225 people (−53.19 per 1,000 population) and a migration effectiveness index (IEM) of −0.388. This classifies the municipality, for the period, as one of migratory depletion. In addition, 865 arrived with an unreported origin and 4,720 came from abroad.

Indicators

Migration indicators for Belo Horizonte/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	92,560	88,659 to 96,461	good
Out-migrants	209,785	205,206 to 214,364	good
Net migration	−117,225	−123,240 to −111,210	not classified
Net migration rate, TLM (per 1,000 pop.)	−53.19	-	-
Migration effectiveness index (IEM)	−0.388	-	-

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 Belo Horizonte/MG
Origin	People	Precision
Contagem/MG · view pair in the atlas	5,810	good
São Paulo/SP · view pair in the atlas	3,530	good
Rio de Janeiro/RJ · view pair in the atlas	2,625	good
Ribeirão das Neves/MG · view pair in the atlas	2,605	good
Betim/MG · view pair in the atlas	2,245	good
Santa Luzia/MG · view pair in the atlas	2,160	good
Montes Claros/MG · view pair in the atlas	1,750	use with caution
Divinópolis/MG · view pair in the atlas	1,665	use with caution
Juiz de Fora/MG · view pair in the atlas	1,655	good
Ipatinga/MG · view pair in the atlas	1,510	use with caution

Top 10 destinations of out-migrants from Belo Horizonte/MG
Destination	People	Precision
Contagem/MG · view pair in the atlas	19,215	good
Ribeirão das Neves/MG · view pair in the atlas	12,245	good
Santa Luzia/MG · view pair in the atlas	8,310	good
Vespasiano/MG · view pair in the atlas	7,000	good
Betim/MG · view pair in the atlas	6,155	good
Lagoa Santa/MG · view pair in the atlas	5,940	good
São Paulo/SP · view pair in the atlas	5,545	good
Nova Lima/MG · view pair in the atlas	5,265	good
Ibirité/MG · view pair in the atlas	4,730	good
Sabará/MG · view pair in the atlas	4,280	good

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	37,080	40.1%	>=500
Multi-step migration	31,045	33.5%	>=500
Return to municipality of birth	23,905	25.8%	>=500
Born abroad, internal migrant	530	0.6%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	33,500	55.4%	>=500
Completed high school, incomplete higher education	16,840	27.8%	>=500
No schooling or incomplete elementary	6,045	10.0%	100-499
Completed elementary, incomplete high school	4,120	6.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	40,670	43.9%	>=500
1 to 2 minimum wages	20,670	22.3%	>=500
½ to 1 minimum wage	16,790	18.1%	>=500
Up to ¼ of a minimum wage	7,495	8.1%	100-499
¼ to ½ minimum wage	5,875	6.3%	100-499
Not applicable (collective dwelling)	1,060	1.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	18,810	20.3%	>=500
Ages 25–39, male	16,675	18.0%	>=500
Ages 15–24, female	12,605	13.6%	>=500
Ages 40–59, female	9,615	10.4%	100-499
Ages 15–24, male	9,525	10.3%	100-499
Ages 40–59, male	8,275	8.9%	100-499
Ages 5–14, female	5,040	5.4%	100-499
Ages 5–14, male	4,880	5.3%	100-499
Ages 60 and over, female	4,575	4.9%	100-499
Ages 60 and over, male	2,555	2.8%	100-499

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	109,995	52.4%	>=500
Multi-step migration	68,230	32.5%	>=500
Return to municipality of birth	30,780	14.7%	>=500
Born abroad, internal migrant	780	0.4%	50-99

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	57,725	37.7%	>=500
Completed high school, incomplete higher education	52,115	34.0%	>=500
No schooling or incomplete elementary	26,005	17.0%	>=500
Completed elementary, incomplete high school	17,390	11.3%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	66,165	31.5%	>=500
1 to 2 minimum wages	50,000	23.8%	>=500
½ to 1 minimum wage	48,610	23.2%	>=500
¼ to ½ minimum wage	27,145	12.9%	>=500
Up to ¼ of a minimum wage	13,530	6.4%	>=500
Not applicable (collective dwelling)	4,335	2.1%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	39,685	18.9%	>=500
Ages 25–39, male	39,470	18.8%	>=500
Ages 40–59, male	26,560	12.7%	>=500
Ages 40–59, female	26,205	12.5%	>=500
Ages 5–14, male	14,865	7.1%	>=500
Ages 5–14, female	14,330	6.8%	>=500
Ages 15–24, female	14,055	6.7%	>=500
Ages 15–24, male	13,300	6.3%	>=500
Ages 60 and over, female	11,810	5.6%	>=500
Ages 60 and over, male	9,510	4.5%	>=500

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	528,925	33.3%	>=500
Completed higher education	507,410	31.9%	>=500
No schooling or incomplete elementary	348,375	21.9%	>=500
Completed elementary, incomplete high school	204,445	12.9%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	676,610	30.5%	>=500
1 to 2 minimum wages	575,080	25.9%	>=500
½ to 1 minimum wage	548,510	24.7%	>=500
¼ to ½ minimum wage	243,720	11.0%	>=500
Up to ¼ of a minimum wage	166,835	7.5%	>=500
Not applicable (collective dwelling)	6,665	0.3%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	346,495	16.5%	>=500
Ages 40–59, male	291,020	13.8%	>=500
Ages 60 and over, female	272,070	12.9%	>=500
Ages 25–39, female	257,990	12.3%	>=500
Ages 25–39, male	238,040	11.3%	>=500
Ages 60 and over, male	183,540	8.7%	>=500
Ages 15–24, male	141,000	6.7%	>=500
Ages 15–24, female	138,110	6.6%	>=500
Ages 5–14, male	121,195	5.8%	>=500
Ages 5–14, female	116,150	5.5%	>=500

Commuting (work and study)

Commuting indicators for Belo Horizonte/MG
Employed persons (aged 10 and over)	1,181,280
Commute out to work in another municipality	68,515
Commute in from another municipality to work here	304,565
Net commuting	+236,055
Out-commuting rate (%)	5.80
Commuting attraction index	1.162
Median commuting time	60 min

This municipality is part of Região Metropolitana de Belo Horizonte → see the metropolitan region page

Open Belo Horizonte/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]: Belo Horizonte/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/belo-horizonte-mg-3106200/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.