Migration in Alto Caparaó/MG (2017–2022)

Alto Caparaó/MG had a reference population (aged 5 or over in 2022) of 5,395 people. In the 2017–2022 five-year period, the municipality received 445 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of +85 people (16.08 per 1,000 population) and a migration effectiveness index (IEM) of 0.108. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Alto Caparaó/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	445	336 to 554	good
Out-migrants	355	206 to 504	use with caution
Net migration	+85	−99 to 269	not classified
Net migration rate, TLM (per 1,000 pop.)	16.08	-	-
Migration effectiveness index (IEM)	0.108	-	-

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 Alto Caparaó/MG
Origin	People	Precision
Alto Jequitibá/MG · view pair in the atlas	60	use with caution
Caparaó/MG · view pair in the atlas	55	low precision
Manhuaçu/MG · view pair in the atlas	50	low precision
Manhumirim/MG · view pair in the atlas	35	low precision
Espera Feliz/MG · view pair in the atlas	30	low precision
Rio de Janeiro/RJ · view pair in the atlas	20	low precision
Volta Redonda/RJ · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Alto Caparaó/MG
Destination	People	Precision
Alto Jequitibá/MG · view pair in the atlas	65	use with caution
Manhumirim/MG · view pair in the atlas	55	low precision
Caparaó/MG · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	245	54.4%	50-99
Multi-step migration	160	35.6%	50-99
Return to municipality of birth	40	8.9%	5-19
Other / suppressed	5	1.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	49.0%	20-49
Completed high school, incomplete higher education	55	21.6%	5-19
Completed higher education	40	15.7%	5-19
Completed elementary, incomplete high school	35	13.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	200	44.4%	50-99
¼ to ½ minimum wage	115	25.6%	20-49
1 to 2 minimum wages	85	18.9%	20-49
More than 2 minimum wages	40	8.9%	5-19
Other / suppressed	10	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	75	17.0%	20-49
Ages 40–59, female	65	14.8%	20-49
Ages 25–39, male	60	13.6%	20-49
Ages 5–14, female	40	9.1%	5-19
Ages 40–59, male	40	9.1%	5-19
Ages 15–24, male	40	9.1%	5-19
Ages 5–14, male	35	8.0%	5-19
Ages 60 and over, male	35	8.0%	5-19
Ages 25–39, female	30	6.8%	5-19
Ages 60 and over, female	20	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	205	56.9%	20-49
First move from municipality of birth	115	31.9%	5-19
Return to municipality of birth	40	11.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	60.5%	20-49
Completed higher education	40	21.1%	5-19
Other / suppressed	35	18.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	105	29.2%	5-19
More than 2 minimum wages	90	25.0%	5-19
¼ to ½ minimum wage	85	23.6%	5-19
1 to 2 minimum wages	60	16.7%	5-19
Up to ¼ of a minimum wage	20	5.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	95	26.8%	5-19
Ages 40–59, female	55	15.5%	5-19
Other / suppressed	55	15.5%	5-19
Ages 15–24, male	45	12.7%	5-19
Ages 25–39, female	35	9.9%	5-19
Ages 40–59, male	30	8.5%	5-19
Ages 25–39, male	25	7.0%	5-19
Ages 5–14, female	15	4.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,100	59.9%	>=500
Completed elementary, incomplete high school	690	19.7%	100-499
Completed high school, incomplete higher education	405	11.6%	100-499
Completed higher education	310	8.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,265	42.4%	>=500
1 to 2 minimum wages	1,125	21.1%	100-499
¼ to ½ minimum wage	1,060	19.9%	100-499
Up to ¼ of a minimum wage	545	10.2%	100-499
More than 2 minimum wages	320	6.0%	100-499
Not applicable (collective dwelling)	25	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	690	14.0%	100-499
Ages 40–59, male	660	13.3%	100-499
Ages 25–39, male	645	13.0%	100-499
Ages 25–39, female	590	11.9%	100-499
Ages 60 and over, female	475	9.6%	100-499
Ages 60 and over, male	450	9.1%	100-499
Ages 15–24, male	380	7.7%	100-499
Ages 15–24, female	365	7.4%	100-499
Ages 5–14, male	360	7.3%	100-499
Ages 5–14, female	330	6.7%	100-499

Commuting (work and study)

Commuting indicators for Alto Caparaó/MG
Employed persons (aged 10 and over)	2,730
Commute out to work in another municipality	65
Commute in from another municipality to work here	125
Net commuting	+60
Out-commuting rate (%)	2.35
Commuting attraction index	0.983
Median commuting time	30 min

Open Alto 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]: Alto Caparaó/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alto-caparao-mg-3102050/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.