Migration in Dom Cavati/MG (2017–2022)

Dom Cavati/MG had a reference population (aged 5 or over in 2022) of 4,650 people. In the 2017–2022 five-year period, the municipality received 485 in-migrants and lost 430 out-migrants to other municipalities in Brazil, resulting in a net migration of +55 people (11.96 per 1,000 population) and a migration effectiveness index (IEM) of 0.061. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Dom Cavati/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	485	379 to 591	good
Out-migrants	430	204 to 656	use with caution
Net migration	+55	−195 to 305	not classified
Net migration rate, TLM (per 1,000 pop.)	11.96	-	-
Migration effectiveness index (IEM)	0.061	-	-

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 Dom Cavati/MG
Origin	People	Precision
Tarumirim/MG · view pair in the atlas	65	low precision
São Paulo/SP · view pair in the atlas	55	low precision
Inhapim/MG · view pair in the atlas	45	low precision
Belo Horizonte/MG · view pair in the atlas	40	low precision
Ipatinga/MG · view pair in the atlas	35	low precision
Governador Valadares/MG · view pair in the atlas	30	low precision
Betim/MG · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Dom Cavati/MG
Destination	People	Precision
Ipatinga/MG · view pair in the atlas	110	low precision
Tarumirim/MG · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	225	46.4%	50-99
First move from municipality of birth	165	34.0%	50-99
Return to municipality of birth	95	19.6%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	40.3%	20-49
Completed high school, incomplete higher education	85	27.4%	20-49
Completed higher education	65	21.0%	20-49
Completed elementary, incomplete high school	35	11.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	150	31.2%	20-49
1 to 2 minimum wages	135	28.1%	20-49
¼ to ½ minimum wage	115	24.0%	20-49
Up to ¼ of a minimum wage	45	9.4%	5-19
More than 2 minimum wages	35	7.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	17.5%	20-49
Ages 40–59, male	60	12.4%	20-49
Ages 25–39, male	55	11.3%	5-19
Ages 60 and over, female	50	10.3%	5-19
Ages 15–24, female	50	10.3%	5-19
Ages 15–24, male	50	10.3%	5-19
Ages 40–59, female	45	9.3%	5-19
Ages 5–14, female	40	8.2%	5-19
Ages 5–14, male	30	6.2%	5-19
Ages 60 and over, male	20	4.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	275	64.0%	20-49
First move from municipality of birth	90	20.9%	5-19
Return to municipality of birth	65	15.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	145	47.5%	5-19
Completed higher education	60	19.7%	5-19
Completed high school, incomplete higher education	50	16.4%	5-19
Completed elementary, incomplete high school	50	16.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	150	35.3%	5-19
1 to 2 minimum wages	95	22.4%	5-19
More than 2 minimum wages	70	16.5%	5-19
Up to ¼ of a minimum wage	70	16.5%	5-19
¼ to ½ minimum wage	40	9.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	90	20.9%	5-19
Ages 25–39, female	85	19.8%	5-19
Other / suppressed	70	16.3%	5-19
Ages 40–59, female	60	14.0%	5-19
Ages 5–14, female	50	11.6%	5-19
Ages 40–59, male	40	9.3%	5-19
Ages 15–24, female	35	8.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,655	53.1%	>=500
Completed high school, incomplete higher education	685	22.0%	100-499
Completed elementary, incomplete high school	390	12.5%	100-499
Completed higher education	385	12.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,710	38.7%	>=500
1 to 2 minimum wages	1,155	26.2%	100-499
¼ to ½ minimum wage	860	19.5%	100-499
Up to ¼ of a minimum wage	345	7.8%	100-499
More than 2 minimum wages	315	7.1%	100-499
Other / suppressed	30	0.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	675	16.2%	100-499
Ages 60 and over, female	625	15.0%	100-499
Ages 40–59, male	560	13.5%	100-499
Ages 60 and over, male	540	13.0%	100-499
Ages 25–39, male	370	8.9%	100-499
Ages 25–39, female	340	8.2%	100-499
Ages 15–24, male	310	7.5%	100-499
Ages 15–24, female	270	6.5%	50-99
Ages 5–14, male	245	5.9%	50-99
Ages 5–14, female	220	5.3%	50-99

Commuting (work and study)

Commuting indicators for Dom Cavati/MG
Employed persons (aged 10 and over)	2,080
Commute out to work in another municipality	210
Commute in from another municipality to work here	110
Net commuting	−100
Out-commuting rate (%)	10.16
Commuting attraction index	0.926
Median commuting time	50 min

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

Open Dom Cavati/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]: Dom Cavati/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/dom-cavati-mg-3122504/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.