Migration in Confins/MG (2017–2022)

Confins/MG had a reference population (aged 5 or over in 2022) of 6,915 people. In the 2017–2022 five-year period, the municipality received 850 in-migrants and lost 285 out-migrants to other municipalities in Brazil, resulting in a net migration of +565 people (81.68 per 1,000 population) and a migration effectiveness index (IEM) of 0.498. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Confins/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	850	699 to 1,001	good
Out-migrants	285	156 to 414	use with caution
Net migration	+565	366 to 764	not classified
Net migration rate, TLM (per 1,000 pop.)	81.68	-	-
Migration effectiveness index (IEM)	0.498	-	-

Sample of in-migrants: 100-499 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 Confins/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	275	use with caution
Pedro Leopoldo/MG · view pair in the atlas	135	use with caution
Vespasiano/MG · view pair in the atlas	75	low precision
Santa Luzia/MG · view pair in the atlas	55	low precision
São José da Lapa/MG · view pair in the atlas	45	low precision
Lagoa Santa/MG · view pair in the atlas	30	low precision
Matozinhos/MG · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Confins/MG
Destination	People	Precision
No outflows published individually (below the disclosure threshold).

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	425	50.0%	100-499
First move from municipality of birth	410	48.2%	100-499
Return to municipality of birth	15	1.8%	5-19
Other / suppressed	0	0.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	215	35.5%	50-99
Completed higher education	210	34.7%	50-99
No schooling or incomplete elementary	115	19.0%	20-49
Completed elementary, incomplete high school	65	10.7%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	250	29.4%	50-99
½ to 1 minimum wage	215	25.3%	50-99
1 to 2 minimum wages	190	22.4%	50-99
¼ to ½ minimum wage	110	12.9%	20-49
Up to ¼ of a minimum wage	65	7.6%	20-49
Not applicable (collective dwelling)	20	2.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	145	17.2%	20-49
Ages 25–39, female	140	16.6%	20-49
Ages 40–59, male	115	13.6%	20-49
Ages 25–39, male	100	11.8%	20-49
Ages 5–14, male	70	8.3%	20-49
Ages 60 and over, female	65	7.7%	20-49
Ages 15–24, female	60	7.1%	5-19
Ages 15–24, male	55	6.5%	5-19
Ages 5–14, female	55	6.5%	5-19
Ages 60 and over, male	40	4.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	185	66.1%	5-19
Return to municipality of birth	65	23.2%	5-19
Other / suppressed	30	10.7%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	100	39.2%	5-19
Other / suppressed	85	33.3%	5-19
Completed elementary, incomplete high school	70	27.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	110	38.6%	5-19
½ to 1 minimum wage	60	21.1%	5-19
¼ to ½ minimum wage	60	21.1%	5-19
Other / suppressed	55	19.3%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	135	47.4%	5-19
Ages 25–39, female	85	29.8%	5-19
Ages 25–39, male	65	22.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,770	40.2%	>=500
No schooling or incomplete elementary	1,130	25.7%	100-499
Completed higher education	800	18.2%	100-499
Completed elementary, incomplete high school	700	15.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,235	34.4%	>=500
1 to 2 minimum wages	2,020	31.1%	>=500
¼ to ½ minimum wage	1,100	16.9%	100-499
More than 2 minimum wages	775	11.9%	100-499
Up to ¼ of a minimum wage	360	5.5%	100-499
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	980	16.2%	100-499
Ages 40–59, male	860	14.2%	100-499
Ages 25–39, male	700	11.6%	100-499
Ages 25–39, female	700	11.6%	100-499
Ages 60 and over, female	595	9.8%	100-499
Ages 60 and over, male	565	9.3%	100-499
Ages 15–24, male	495	8.2%	100-499
Ages 15–24, female	430	7.1%	100-499
Ages 5–14, male	385	6.4%	100-499
Ages 5–14, female	345	5.7%	100-499

Commuting (work and study)

Commuting indicators for Confins/MG
Employed persons (aged 10 and over)	3,820
Commute out to work in another municipality	1,045
Commute in from another municipality to work here	3,425
Net commuting	+2,375
Out-commuting rate (%)	27.41
Commuting attraction index	1.607
Median commuting time	40 min

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

Open Confins/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]: Confins/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/confins-mg-3117876/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.