Migration in Coroaci/MG (2017–2022)

Coroaci/MG had a reference population (aged 5 or over in 2022) of 10,390 people. In the 2017–2022 five-year period, the municipality received 585 in-migrants and lost 410 out-migrants to other municipalities in Brazil, resulting in a net migration of +175 people (17.05 per 1,000 population) and a migration effectiveness index (IEM) of 0.178. 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 Coroaci/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	585	430 to 740	good
Out-migrants	410	227 to 593	use with caution
Net migration	+175	−65 to 415	not classified
Net migration rate, TLM (per 1,000 pop.)	17.05	-	-
Migration effectiveness index (IEM)	0.178	-	-

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 Coroaci/MG
Origin	People	Precision
Governador Valadares/MG · view pair in the atlas	110	low precision
Belo Horizonte/MG · view pair in the atlas	50	low precision
Peçanha/MG · view pair in the atlas	50	low precision
Marilac/MG · view pair in the atlas	35	low precision
São Paulo/SP · view pair in the atlas	30	low precision
Virgolândia/MG · view pair in the atlas	30	low precision
Ipatinga/MG · view pair in the atlas	25	low precision
Nacip Raydan/MG · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Coroaci/MG
Destination	People	Precision
Governador Valadares/MG · view pair in the atlas	220	low precision
Virgolândia/MG · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	250	42.7%	20-49
Multi-step migration	195	33.3%	20-49
Return to municipality of birth	135	23.1%	20-49
Other / suppressed	5	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	190	46.9%	20-49
Completed high school, incomplete higher education	130	32.1%	20-49
Completed higher education	55	13.6%	5-19
Completed elementary, incomplete high school	30	7.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	180	30.8%	20-49
½ to 1 minimum wage	155	26.5%	20-49
1 to 2 minimum wages	115	19.7%	20-49
More than 2 minimum wages	95	16.2%	5-19
Up to ¼ of a minimum wage	40	6.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	17.2%	5-19
Ages 25–39, male	75	12.9%	5-19
Ages 15–24, female	65	11.2%	5-19
Ages 40–59, male	60	10.3%	5-19
Ages 40–59, female	60	10.3%	5-19
Ages 60 and over, male	55	9.5%	5-19
Ages 60 and over, female	50	8.6%	5-19
Ages 15–24, male	40	6.9%	5-19
Ages 5–14, female	40	6.9%	5-19
Ages 5–14, male	35	6.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	205	50.0%	20-49
Return to municipality of birth	105	25.6%	5-19
Multi-step migration	100	24.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	45.1%	20-49
Completed elementary, incomplete high school	80	31.4%	5-19
Completed higher education	35	13.7%	5-19
Other / suppressed	25	9.8%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	150	36.6%	20-49
¼ to ½ minimum wage	130	31.7%	5-19
Up to ¼ of a minimum wage	70	17.1%	5-19
1 to 2 minimum wages	40	9.8%	5-19
Other / suppressed	20	4.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	150	36.6%	5-19
Other / suppressed	75	18.3%	5-19
Ages 5–14, female	60	14.6%	5-19
Ages 15–24, male	50	12.2%	5-19
Ages 60 and over, male	45	11.0%	5-19
Ages 25–39, male	15	3.7%	5-19
Ages 40–59, male	15	3.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,685	51.0%	>=500
Completed high school, incomplete higher education	2,125	29.4%	100-499
Completed elementary, incomplete high school	810	11.2%	100-499
Completed higher education	610	8.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,965	38.5%	>=500
¼ to ½ minimum wage	2,840	27.6%	>=500
1 to 2 minimum wages	1,775	17.2%	100-499
Up to ¼ of a minimum wage	855	8.3%	100-499
More than 2 minimum wages	845	8.2%	100-499
Other / suppressed	15	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,400	14.3%	100-499
Ages 40–59, female	1,365	13.9%	100-499
Ages 25–39, male	1,310	13.4%	100-499
Ages 25–39, female	1,150	11.7%	100-499
Ages 60 and over, female	1,040	10.6%	100-499
Ages 60 and over, male	970	9.9%	100-499
Ages 15–24, male	790	8.1%	100-499
Ages 15–24, female	690	7.0%	100-499
Ages 5–14, male	560	5.7%	100-499
Ages 5–14, female	525	5.4%	50-99

Commuting (work and study)

Commuting indicators for Coroaci/MG
Employed persons (aged 10 and over)	4,330
Commute out to work in another municipality	325
Commute in from another municipality to work here	65
Net commuting	−260
Out-commuting rate (%)	7.48
Commuting attraction index	0.919
Median commuting time	40 min

Open Coroaci/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]: Coroaci/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/coroaci-mg-3119203/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.