Migration in Sete Lagoas/MG (2017–2022)

Sete Lagoas/MG had a reference population (aged 5 or over in 2022) of 214,935 people. In the 2017–2022 five-year period, the municipality received 11,750 in-migrants and lost 9,520 out-migrants to other municipalities in Brazil, resulting in a net migration of +2,230 people (10.38 per 1,000 population) and a migration effectiveness index (IEM) of 0.105. This classifies the municipality, for the period, as one of migratory attraction. In addition, 100 arrived with an unreported origin and 310 came from abroad.

Indicators

Migration indicators for Sete Lagoas/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	11,750	10,650 to 12,850	good
Out-migrants	9,520	8,627 to 10,413	good
Net migration	+2,230	813 to 3,647	not classified
Net migration rate, TLM (per 1,000 pop.)	10.38	-	-
Migration effectiveness index (IEM)	0.105	-	-

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 Sete Lagoas/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	1,915	good
Curvelo/MG · view pair in the atlas	460	use with caution
Pedro Leopoldo/MG · view pair in the atlas	345	low precision
Prudente de Morais/MG · view pair in the atlas	330	use with caution
Montes Claros/MG · view pair in the atlas	320	low precision
Santana de Pirapama/MG · view pair in the atlas	275	low precision
Matozinhos/MG · view pair in the atlas	230	use with caution
Diamantina/MG · view pair in the atlas	210	low precision
Rio de Janeiro/RJ · view pair in the atlas	200	use with caution
Caetanópolis/MG · view pair in the atlas	195	low precision

Top 10 destinations of out-migrants from Sete Lagoas/MG
Destination	People	Precision
Belo Horizonte/MG · view pair in the atlas	1,485	use with caution
Curvelo/MG · view pair in the atlas	450	use with caution
Prudente de Morais/MG · view pair in the atlas	420	good
Contagem/MG · view pair in the atlas	270	low precision
Ribeirão das Neves/MG · view pair in the atlas	230	use with caution
Inhaúma/MG · view pair in the atlas	220	use with caution
Jequitibá/MG · view pair in the atlas	210	use with caution
Paraopeba/MG · view pair in the atlas	205	low precision
Funilândia/MG · view pair in the atlas	190	use with caution
Montes Claros/MG · view pair in the atlas	145	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	4,665	39.7%	100-499
Multi-step migration	4,640	39.5%	100-499
Return to municipality of birth	2,390	20.3%	100-499
Born abroad, internal migrant	55	0.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	2,965	38.3%	100-499
Completed higher education	2,745	35.5%	100-499
No schooling or incomplete elementary	1,420	18.3%	100-499
Completed elementary, incomplete high school	610	7.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,310	28.2%	100-499
More than 2 minimum wages	3,215	27.4%	100-499
1 to 2 minimum wages	3,055	26.0%	100-499
¼ to ½ minimum wage	1,305	11.1%	100-499
Up to ¼ of a minimum wage	770	6.6%	50-99
Not applicable (collective dwelling)	95	0.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,300	19.6%	100-499
Ages 25–39, male	2,065	17.6%	100-499
Ages 40–59, male	1,265	10.8%	100-499
Ages 40–59, female	1,160	9.9%	100-499
Ages 15–24, female	1,080	9.2%	100-499
Ages 5–14, male	1,050	8.9%	50-99
Ages 15–24, male	1,040	8.9%	50-99
Ages 5–14, female	825	7.0%	50-99
Ages 60 and over, female	525	4.5%	50-99
Ages 60 and over, male	430	3.7%	20-49
Other / suppressed	10	0.1%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	4,215	44.3%	>=500
Multi-step migration	3,655	38.4%	100-499
Return to municipality of birth	1,625	17.1%	100-499
Other / suppressed	25	0.3%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	2,235	33.3%	100-499
Completed high school, incomplete higher education	2,090	31.1%	100-499
No schooling or incomplete elementary	1,535	22.9%	100-499
Completed elementary, incomplete high school	855	12.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	2,680	28.2%	100-499
1 to 2 minimum wages	2,430	25.5%	100-499
½ to 1 minimum wage	2,205	23.2%	100-499
¼ to ½ minimum wage	1,425	15.0%	100-499
Up to ¼ of a minimum wage	550	5.8%	50-99
Not applicable (collective dwelling)	225	2.4%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	1,750	18.4%	100-499
Ages 25–39, male	1,555	16.3%	100-499
Ages 40–59, male	1,160	12.2%	100-499
Ages 40–59, female	1,160	12.2%	100-499
Ages 15–24, female	1,035	10.9%	100-499
Ages 60 and over, male	635	6.7%	50-99
Ages 15–24, male	625	6.6%	50-99
Ages 5–14, female	600	6.3%	50-99
Ages 5–14, male	545	5.7%	50-99
Ages 60 and over, female	455	4.8%	50-99

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	55,435	37.2%	>=500
No schooling or incomplete elementary	43,630	29.3%	>=500
Completed higher education	28,415	19.1%	>=500
Completed elementary, incomplete high school	21,540	14.5%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	72,525	33.7%	>=500
1 to 2 minimum wages	62,540	29.1%	>=500
More than 2 minimum wages	34,990	16.3%	>=500
¼ to ½ minimum wage	31,750	14.8%	>=500
Up to ¼ of a minimum wage	12,810	6.0%	>=500
Not applicable (collective dwelling)	620	0.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	32,645	16.1%	>=500
Ages 40–59, male	28,835	14.2%	>=500
Ages 25–39, female	25,520	12.6%	>=500
Ages 25–39, male	24,525	12.1%	>=500
Ages 60 and over, female	21,370	10.5%	>=500
Ages 60 and over, male	16,050	7.9%	>=500
Ages 15–24, female	14,895	7.3%	>=500
Ages 15–24, male	14,745	7.3%	>=500
Ages 5–14, male	12,200	6.0%	>=500
Ages 5–14, female	11,770	5.8%	>=500
Other / suppressed	220	0.1%	20-49

Commuting (work and study)

Commuting indicators for Sete Lagoas/MG
Employed persons (aged 10 and over)	118,845
Commute out to work in another municipality	3,990
Commute in from another municipality to work here	6,265
Net commuting	+2,270
Out-commuting rate (%)	3.36
Commuting attraction index	1.000
Median commuting time	90 min

This municipality is part of Colar Metropolitano de Belo Horizonte → see the metropolitan region page

Open Sete Lagoas/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]: Sete Lagoas/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sete-lagoas-mg-3167202/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.