Migration in Caparaó/MG (2017–2022)

Caparaó/MG had a reference population (aged 5 or over in 2022) of 4,665 people. In the 2017–2022 five-year period, the municipality received 320 in-migrants and lost 385 out-migrants to other municipalities in Brazil, resulting in a net migration of −65 people (−13.83 per 1,000 population) and a migration effectiveness index (IEM) of −0.092. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Caparaó/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	320	229 to 411	good
Out-migrants	385	197 to 573	use with caution
Net migration	−65	−274 to 144	not classified
Net migration rate, TLM (per 1,000 pop.)	−13.83	-	-
Migration effectiveness index (IEM)	−0.092	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Caparaó/MG
Origin	People	Precision
Espera Feliz/MG · view pair in the atlas	90	use with caution
Alto Caparaó/MG · view pair in the atlas	45	low precision
Alto Jequitibá/MG · view pair in the atlas	40	low precision
Dores do Rio Preto/ES · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Caparaó/MG
Destination	People	Precision
Espera Feliz/MG · view pair in the atlas	100	low precision
Alto Caparaó/MG · view pair in the atlas	55	low precision
Alto Jequitibá/MG · view pair in the atlas	40	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	165	52.4%	50-99
First move from municipality of birth	140	44.4%	20-49
Other / suppressed	10	3.2%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	47.5%	20-49
Completed high school, incomplete higher education	45	22.5%	5-19
Completed higher education	30	15.0%	5-19
Completed elementary, incomplete high school	30	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	130	40.6%	20-49
¼ to ½ minimum wage	80	25.0%	20-49
1 to 2 minimum wages	60	18.8%	5-19
Up to ¼ of a minimum wage	30	9.4%	5-19
More than 2 minimum wages	20	6.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	50	15.9%	5-19
Ages 25–39, female	45	14.3%	5-19
Ages 15–24, female	45	14.3%	5-19
Ages 40–59, male	40	12.7%	5-19
Ages 25–39, male	30	9.5%	5-19
Ages 5–14, female	25	7.9%	5-19
Ages 5–14, male	25	7.9%	5-19
Ages 15–24, male	20	6.3%	5-19
Ages 60 and over, male	20	6.3%	5-19
Other / suppressed	15	4.8%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	195	50.6%	20-49
First move from municipality of birth	120	31.2%	20-49
Return to municipality of birth	70	18.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	70	37.8%	5-19
Completed high school, incomplete higher education	60	32.4%	5-19
Completed elementary, incomplete high school	40	21.6%	5-19
Other / suppressed	15	8.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	155	40.8%	20-49
¼ to ½ minimum wage	135	35.5%	5-19
1 to 2 minimum wages	70	18.4%	5-19
Other / suppressed	20	5.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	80	20.8%	5-19
Ages 5–14, female	60	15.6%	5-19
Ages 15–24, male	50	13.0%	5-19
Ages 25–39, female	45	11.7%	5-19
Ages 25–39, male	40	10.4%	5-19
Ages 40–59, male	40	10.4%	5-19
Other / suppressed	35	9.1%	5-19
Ages 40–59, female	35	9.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,770	58.7%	>=500
Completed high school, incomplete higher education	630	20.9%	100-499
Completed elementary, incomplete high school	360	11.9%	100-499
Completed higher education	255	8.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,915	40.5%	>=500
¼ to ½ minimum wage	1,360	28.8%	100-499
1 to 2 minimum wages	760	16.1%	100-499
Up to ¼ of a minimum wage	445	9.4%	100-499
More than 2 minimum wages	240	5.1%	50-99
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	650	15.0%	100-499
Ages 40–59, female	585	13.5%	100-499
Ages 25–39, male	580	13.3%	100-499
Ages 25–39, female	535	12.3%	100-499
Ages 15–24, male	420	9.7%	100-499
Ages 15–24, female	340	7.8%	100-499
Ages 60 and over, female	335	7.7%	100-499
Ages 60 and over, male	330	7.6%	50-99
Ages 5–14, female	290	6.7%	50-99
Ages 5–14, male	280	6.4%	50-99

Commuting (work and study)

Commuting indicators for Caparaó/MG
Employed persons (aged 10 and over)	2,560
Commute out to work in another municipality	35
Commute in from another municipality to work here	200
Net commuting	+170
Out-commuting rate (%)	1.29
Commuting attraction index	1.065
Median commuting time	30 min

Open Caparaó/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]: Caparaó/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/caparao-mg-3112109/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.