Migration in Vespasiano/MG (2017–2022)

Vespasiano/MG had a reference population (aged 5 or over in 2022) of 120,580 people. In the 2017–2022 five-year period, the municipality received 12,600 in-migrants and lost 5,470 out-migrants to other municipalities in Brazil, resulting in a net migration of +7,130 people (59.15 per 1,000 population) and a migration effectiveness index (IEM) of 0.395. This classifies the municipality, for the period, as one of migratory attraction. In addition, 125 arrived with an unreported origin and 205 came from abroad.

Indicators

Migration indicators for Vespasiano/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	12,600	11,508 to 13,692	good
Out-migrants	5,470	4,669 to 6,271	good
Net migration	+7,130	5,776 to 8,484	not classified
Net migration rate, TLM (per 1,000 pop.)	59.15	-	-
Migration effectiveness index (IEM)	0.395	-	-

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 Vespasiano/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	7,000	good
Santa Luzia/MG · view pair in the atlas	1,045	use with caution
Ribeirão das Neves/MG · view pair in the atlas	575	use with caution
Contagem/MG · view pair in the atlas	275	use with caution
São Paulo/SP · view pair in the atlas	230	low precision
Lagoa Santa/MG · view pair in the atlas	185	low precision
Ibirité/MG · view pair in the atlas	145	low precision
Betim/MG · view pair in the atlas	140	low precision
São Joaquim de Bicas/MG · view pair in the atlas	110	low precision
Rio de Janeiro/RJ · view pair in the atlas	100	low precision

Top 10 destinations of out-migrants from Vespasiano/MG
Destination	People	Precision
Belo Horizonte/MG · view pair in the atlas	990	use with caution
Lagoa Santa/MG · view pair in the atlas	620	use with caution
Ribeirão das Neves/MG · view pair in the atlas	495	use with caution
Santa Luzia/MG · view pair in the atlas	465	use with caution
Contagem/MG · view pair in the atlas	390	low precision
São José da Lapa/MG · view pair in the atlas	325	use with caution
Jaboticatubas/MG · view pair in the atlas	170	low precision
São Joaquim de Bicas/MG · view pair in the atlas	110	use with caution
Nova Lima/MG · view pair in the atlas	95	low precision
Confins/MG · view pair in the atlas	75	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	6,820	54.1%	>=500
Multi-step migration	5,360	42.5%	>=500
Return to municipality of birth	365	2.9%	20-49
Born abroad, internal migrant	55	0.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	4,100	48.1%	100-499
No schooling or incomplete elementary	1,700	19.9%	100-499
Completed higher education	1,580	18.5%	100-499
Completed elementary, incomplete high school	1,145	13.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,940	31.3%	100-499
1 to 2 minimum wages	3,730	29.6%	100-499
¼ to ½ minimum wage	2,455	19.5%	100-499
More than 2 minimum wages	1,790	14.2%	100-499
Up to ¼ of a minimum wage	690	5.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,585	20.5%	100-499
Ages 25–39, male	2,455	19.5%	100-499
Ages 40–59, male	1,330	10.6%	100-499
Ages 40–59, female	1,315	10.4%	100-499
Ages 15–24, female	1,085	8.6%	100-499
Ages 15–24, male	1,020	8.1%	100-499
Ages 5–14, female	1,010	8.0%	100-499
Ages 5–14, male	955	7.6%	100-499
Ages 60 and over, female	565	4.5%	50-99
Ages 60 and over, male	275	2.2%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	3,170	57.9%	100-499
First move from municipality of birth	1,385	25.3%	100-499
Return to municipality of birth	920	16.8%	50-99

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,490	42.6%	100-499
Completed higher education	810	23.2%	50-99
No schooling or incomplete elementary	600	17.2%	50-99
Completed elementary, incomplete high school	595	17.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,945	35.6%	100-499
1 to 2 minimum wages	1,080	19.8%	100-499
More than 2 minimum wages	1,050	19.2%	50-99
¼ to ½ minimum wage	770	14.1%	50-99
Not applicable (collective dwelling)	340	6.2%	20-49
Up to ¼ of a minimum wage	280	5.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,005	18.4%	50-99
Ages 25–39, female	950	17.4%	50-99
Ages 40–59, female	635	11.6%	50-99
Ages 40–59, male	610	11.1%	50-99
Ages 15–24, female	575	10.5%	50-99
Ages 5–14, male	540	9.9%	50-99
Ages 15–24, male	500	9.1%	20-49
Ages 5–14, female	355	6.5%	20-49
Ages 60 and over, male	155	2.8%	5-19
Ages 60 and over, female	150	2.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	26,640	36.2%	>=500
No schooling or incomplete elementary	25,745	35.0%	>=500
Completed elementary, incomplete high school	13,135	17.9%	>=500
Completed higher education	7,995	10.9%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	39,575	34.0%	>=500
1 to 2 minimum wages	31,310	26.9%	>=500
¼ to ½ minimum wage	22,550	19.4%	>=500
Up to ¼ of a minimum wage	11,805	10.1%	>=500
More than 2 minimum wages	10,895	9.4%	>=500
Not applicable (collective dwelling)	180	0.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	16,515	15.3%	>=500
Ages 40–59, male	15,055	14.0%	>=500
Ages 25–39, female	14,600	13.6%	>=500
Ages 25–39, male	13,240	12.3%	>=500
Ages 15–24, male	9,020	8.4%	>=500
Ages 15–24, female	8,780	8.2%	>=500
Ages 5–14, male	8,355	7.8%	>=500
Ages 5–14, female	7,975	7.4%	>=500
Ages 60 and over, female	7,895	7.3%	>=500
Ages 60 and over, male	6,210	5.8%	>=500

Commuting (work and study)

Commuting indicators for Vespasiano/MG
Employed persons (aged 10 and over)	62,305
Commute out to work in another municipality	25,340
Commute in from another municipality to work here	7,945
Net commuting	−17,390
Out-commuting rate (%)	40.67
Commuting attraction index	0.668
Median commuting time	60 min

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

Open Vespasiano/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]: Vespasiano/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/vespasiano-mg-3171204/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.