Migration in Lavras/MG (2017–2022)

Lavras/MG had a reference population (aged 5 or over in 2022) of 98,980 people. In the 2017–2022 five-year period, the municipality received 7,040 in-migrants and lost 7,855 out-migrants to other municipalities in Brazil, resulting in a net migration of −815 people (−8.24 per 1,000 population) and a migration effectiveness index (IEM) of −0.055. This classifies the municipality, for the period, as one of migratory depletion. In addition, 95 arrived with an unreported origin and 45 came from abroad.

Indicators

Migration indicators for Lavras/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	7,040	6,290 to 7,790	good
Out-migrants	7,855	7,084 to 8,626	good
Net migration	−815	−1,890 to 260	not classified
Net migration rate, TLM (per 1,000 pop.)	−8.24	-	-
Migration effectiveness index (IEM)	−0.055	-	-

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 Lavras/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	515	use with caution
São Paulo/SP · view pair in the atlas	370	use with caution
Nepomuceno/MG · view pair in the atlas	300	use with caution
Campo Belo/MG · view pair in the atlas	230	low precision
Varginha/MG · view pair in the atlas	215	use with caution
Itumirim/MG · view pair in the atlas	180	low precision
São João del Rei/MG · view pair in the atlas	170	low precision
Bom Sucesso/MG · view pair in the atlas	135	low precision
Perdões/MG · view pair in the atlas	125	use with caution
Divinópolis/MG · view pair in the atlas	125	low precision

Top 10 destinations of out-migrants from Lavras/MG
Destination	People	Precision
Belo Horizonte/MG · view pair in the atlas	460	use with caution
São Paulo/SP · view pair in the atlas	300	low precision
Perdões/MG · view pair in the atlas	195	use with caution
Nepomuceno/MG · view pair in the atlas	190	low precision
Ijaci/MG · view pair in the atlas	170	use with caution
Pouso Alegre/MG · view pair in the atlas	170	use with caution
Ribeirão Vermelho/MG · view pair in the atlas	165	use with caution
Oliveira/MG · view pair in the atlas	160	low precision
Uberlândia/MG · view pair in the atlas	140	low precision
São João del Rei/MG · view pair in the atlas	135	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	2,850	40.5%	100-499
Multi-step migration	2,715	38.6%	100-499
Return to municipality of birth	1,465	20.8%	100-499
Other / suppressed	10	0.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	2,020	48.1%	100-499
Completed high school, incomplete higher education	1,155	27.5%	100-499
No schooling or incomplete elementary	640	15.2%	50-99
Completed elementary, incomplete high school	385	9.2%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,970	28.0%	100-499
More than 2 minimum wages	1,965	27.9%	100-499
½ to 1 minimum wage	1,815	25.8%	100-499
¼ to ½ minimum wage	630	8.9%	50-99
Up to ¼ of a minimum wage	580	8.2%	50-99
Not applicable (collective dwelling)	80	1.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,270	18.0%	100-499
Ages 15–24, female	1,190	16.9%	100-499
Ages 25–39, female	1,165	16.5%	100-499
Ages 15–24, male	975	13.8%	50-99
Ages 40–59, female	645	9.2%	50-99
Ages 40–59, male	625	8.9%	50-99
Ages 5–14, male	460	6.5%	20-49
Ages 60 and over, male	265	3.8%	20-49
Ages 60 and over, female	230	3.3%	20-49
Ages 5–14, female	215	3.1%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	3,260	41.5%	100-499
First move from municipality of birth	2,650	33.7%	100-499
Return to municipality of birth	1,885	24.0%	100-499
Other / suppressed	65	0.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	3,515	59.6%	100-499
Completed high school, incomplete higher education	1,475	25.0%	100-499
No schooling or incomplete elementary	535	9.1%	50-99
Completed elementary, incomplete high school	370	6.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	3,305	42.1%	100-499
1 to 2 minimum wages	1,715	21.8%	100-499
½ to 1 minimum wage	1,255	16.0%	100-499
¼ to ½ minimum wage	810	10.3%	100-499
Up to ¼ of a minimum wage	560	7.1%	50-99
Not applicable (collective dwelling)	210	2.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,130	27.1%	100-499
Ages 25–39, male	1,965	25.0%	100-499
Ages 40–59, female	705	9.0%	50-99
Ages 15–24, female	705	9.0%	50-99
Ages 40–59, male	585	7.4%	50-99
Ages 15–24, male	510	6.5%	50-99
Ages 5–14, male	440	5.6%	50-99
Ages 5–14, female	305	3.9%	50-99
Ages 60 and over, male	280	3.6%	20-49
Ages 60 and over, female	235	3.0%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	21,195	31.6%	>=500
No schooling or incomplete elementary	18,500	27.6%	>=500
Completed higher education	17,275	25.8%	>=500
Completed elementary, incomplete high school	10,105	15.1%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	30,365	31.1%	>=500
1 to 2 minimum wages	25,235	25.9%	>=500
More than 2 minimum wages	19,145	19.6%	>=500
¼ to ½ minimum wage	15,115	15.5%	>=500
Up to ¼ of a minimum wage	7,430	7.6%	>=500
Not applicable (collective dwelling)	295	0.3%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	13,865	15.1%	>=500
Ages 40–59, male	12,590	13.7%	>=500
Ages 25–39, female	11,685	12.7%	>=500
Ages 25–39, male	10,870	11.8%	>=500
Ages 60 and over, female	10,200	11.1%	>=500
Ages 60 and over, male	7,865	8.6%	>=500
Ages 15–24, male	6,785	7.4%	>=500
Ages 15–24, female	6,765	7.4%	>=500
Ages 5–14, female	5,650	6.2%	>=500
Ages 5–14, male	5,535	6.0%	>=500

Commuting (work and study)

Commuting indicators for Lavras/MG
Employed persons (aged 10 and over)	50,400
Commute out to work in another municipality	1,790
Commute in from another municipality to work here	4,190
Net commuting	+2,405
Out-commuting rate (%)	3.55
Commuting attraction index	1.025
Median commuting time	40 min

Open Lavras/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]: Lavras/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/lavras-mg-3138203/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.