Migration in Uberaba/MG (2017–2022)

Uberaba/MG had a reference population (aged 5 or over in 2022) of 318,535 people. In the 2017–2022 five-year period, the municipality received 19,200 in-migrants and lost 15,325 out-migrants to other municipalities in Brazil, resulting in a net migration of +3,870 people (12.16 per 1,000 population) and a migration effectiveness index (IEM) of 0.112. This classifies the municipality, for the period, as one of migratory attraction. In addition, 125 arrived with an unreported origin and 360 came from abroad.

Indicators

Migration indicators for Uberaba/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	19,200	17,812 to 20,588	good
Out-migrants	15,325	14,134 to 16,516	good
Net migration	+3,870	2,041 to 5,699	not classified
Net migration rate, TLM (per 1,000 pop.)	12.16	-	-
Migration effectiveness index (IEM)	0.112	-	-

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 Uberaba/MG
Origin	People	Precision
Uberlândia/MG · view pair in the atlas	1,125	use with caution
São Paulo/SP · view pair in the atlas	635	use with caution
Araxá/MG · view pair in the atlas	555	use with caution
Ribeirão Preto/SP · view pair in the atlas	420	use with caution
Conceição das Alagoas/MG · view pair in the atlas	410	use with caution
Igarapava/SP · view pair in the atlas	395	use with caution
Belo Horizonte/MG · view pair in the atlas	360	use with caution
Brasília/DF · view pair in the atlas	355	low precision
Maceió/AL · view pair in the atlas	340	use with caution
Caxias/MA · view pair in the atlas	340	use with caution

Top 10 destinations of out-migrants from Uberaba/MG
Destination	People	Precision
Uberlândia/MG · view pair in the atlas	1,375	use with caution
São Paulo/SP · view pair in the atlas	715	use with caution
Ribeirão Preto/SP · view pair in the atlas	355	low precision
Araxá/MG · view pair in the atlas	290	use with caution
Brasília/DF · view pair in the atlas	280	low precision
Goiânia/GO · view pair in the atlas	270	low precision
Sacramento/MG · view pair in the atlas	260	use with caution
Araguari/MG · view pair in the atlas	240	low precision
Curitiba/PR · view pair in the atlas	235	low precision
Veríssimo/MG · view pair in the atlas	215	use with caution

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	9,905	51.6%	>=500
Multi-step migration	7,210	37.6%	>=500
Return to municipality of birth	2,020	10.5%	100-499
Born abroad, internal migrant	60	0.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	4,065	35.4%	100-499
Completed higher education	3,480	30.3%	100-499
No schooling or incomplete elementary	2,475	21.5%	100-499
Completed elementary, incomplete high school	1,465	12.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,825	30.3%	>=500
1 to 2 minimum wages	4,965	25.9%	100-499
More than 2 minimum wages	4,365	22.7%	100-499
¼ to ½ minimum wage	2,585	13.5%	100-499
Up to ¼ of a minimum wage	1,325	6.9%	100-499
Not applicable (collective dwelling)	135	0.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	3,750	19.5%	100-499
Ages 25–39, male	3,160	16.5%	100-499
Ages 15–24, female	2,530	13.2%	100-499
Ages 15–24, male	2,375	12.4%	100-499
Ages 40–59, female	1,730	9.0%	100-499
Ages 5–14, female	1,470	7.7%	100-499
Ages 40–59, male	1,425	7.4%	100-499
Ages 5–14, male	1,330	6.9%	100-499
Ages 60 and over, female	780	4.1%	50-99
Ages 60 and over, male	635	3.3%	50-99
Other / suppressed	10	0.1%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	6,635	43.3%	>=500
First move from municipality of birth	5,645	36.8%	>=500
Return to municipality of birth	3,000	19.6%	100-499
Born abroad, internal migrant	45	0.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	5,200	46.8%	100-499
Completed high school, incomplete higher education	2,795	25.1%	100-499
No schooling or incomplete elementary	1,950	17.5%	100-499
Completed elementary, incomplete high school	1,175	10.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	5,505	35.9%	100-499
1 to 2 minimum wages	3,820	24.9%	100-499
½ to 1 minimum wage	2,860	18.7%	100-499
¼ to ½ minimum wage	1,930	12.6%	100-499
Up to ¼ of a minimum wage	1,095	7.1%	100-499
Not applicable (collective dwelling)	115	0.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	3,550	23.1%	100-499
Ages 25–39, female	3,520	23.0%	100-499
Ages 40–59, male	1,555	10.1%	100-499
Ages 40–59, female	1,435	9.4%	100-499
Ages 5–14, male	1,120	7.3%	100-499
Ages 15–24, female	1,090	7.1%	100-499
Ages 15–24, male	1,065	6.9%	100-499
Ages 5–14, female	935	6.1%	100-499
Ages 60 and over, female	540	3.5%	50-99
Ages 60 and over, male	525	3.4%	50-99

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	68,205	31.4%	>=500
No schooling or incomplete elementary	67,035	30.9%	>=500
Completed higher education	50,410	23.2%	>=500
Completed elementary, incomplete high school	31,630	14.6%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	98,255	30.9%	>=500
½ to 1 minimum wage	89,960	28.3%	>=500
More than 2 minimum wages	70,285	22.1%	>=500
¼ to ½ minimum wage	39,280	12.3%	>=500
Up to ¼ of a minimum wage	18,630	5.9%	>=500
Not applicable (collective dwelling)	1,740	0.5%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	45,855	15.3%	>=500
Ages 40–59, male	41,680	13.9%	>=500
Ages 25–39, female	37,015	12.4%	>=500
Ages 25–39, male	36,010	12.0%	>=500
Ages 60 and over, female	32,395	10.8%	>=500
Ages 60 and over, male	24,310	8.1%	>=500
Ages 15–24, male	21,155	7.1%	>=500
Ages 15–24, female	20,945	7.0%	>=500
Ages 5–14, male	20,225	6.8%	>=500
Ages 5–14, female	19,235	6.4%	>=500
Other / suppressed	30	0.0%	5-19

Commuting (work and study)

Commuting indicators for Uberaba/MG
Employed persons (aged 10 and over)	168,495
Commute out to work in another municipality	2,415
Commute in from another municipality to work here	5,055
Net commuting	+2,645
Out-commuting rate (%)	1.43
Commuting attraction index	1.003
Median commuting time	60 min

Open Uberaba/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]: Uberaba/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/uberaba-mg-3170107/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.