Migration in Ferros/MG (2017–2022)

Ferros/MG had a reference population (aged 5 or over in 2022) of 9,115 people. In the 2017–2022 five-year period, the municipality received 335 in-migrants and lost 510 out-migrants to other municipalities in Brazil, resulting in a net migration of −175 people (−19.36 per 1,000 population) and a migration effectiveness index (IEM) of −0.208. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Ferros/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	335	215 to 455	use with caution
Out-migrants	510	333 to 687	use with caution
Net migration	−175	−389 to 39	not classified
Net migration rate, TLM (per 1,000 pop.)	−19.36	-	-
Migration effectiveness index (IEM)	−0.208	-	-

Sample of in-migrants: 50-99 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 Ferros/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	105	low precision
Itabira/MG · view pair in the atlas	75	low precision
Santa Maria de Itabira/MG · view pair in the atlas	35	low precision

Top 10 destinations of out-migrants from Ferros/MG
Destination	People	Precision
Itabira/MG · view pair in the atlas	110	low precision
Coronel Fabriciano/MG · view pair in the atlas	110	low precision
Ipatinga/MG · view pair in the atlas	35	low precision
Santa Maria de Itabira/MG · view pair in the atlas	35	low precision
Conceição do Mato Dentro/MG · view pair in the atlas	30	low precision
Dores de Guanhães/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	115	34.3%	20-49
First move from municipality of birth	110	32.8%	20-49
Multi-step migration	110	32.8%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	32.6%	5-19
Completed high school, incomplete higher education	70	30.4%	5-19
Completed elementary, incomplete high school	45	19.6%	5-19
Completed higher education	40	17.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	130	38.8%	20-49
¼ to ½ minimum wage	85	25.4%	5-19
1 to 2 minimum wages	70	20.9%	5-19
More than 2 minimum wages	25	7.5%	5-19
Up to ¼ of a minimum wage	20	6.0%	5-19
Other / suppressed	5	1.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	65	20.0%	5-19
Ages 25–39, male	60	18.5%	5-19
Ages 5–14, male	40	12.3%	5-19
Ages 40–59, male	35	10.8%	5-19
Ages 5–14, female	30	9.2%	5-19
Ages 60 and over, male	30	9.2%	5-19
Ages 15–24, female	25	7.7%	5-19
Ages 40–59, female	25	7.7%	5-19
Other / suppressed	15	4.6%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	340	66.0%	50-99
Multi-step migration	125	24.3%	20-49
Return to municipality of birth	50	9.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	200	57.1%	20-49
Completed high school, incomplete higher education	80	22.9%	5-19
Completed higher education	45	12.9%	5-19
Completed elementary, incomplete high school	25	7.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	195	37.9%	20-49
¼ to ½ minimum wage	120	23.3%	20-49
1 to 2 minimum wages	115	22.3%	5-19
More than 2 minimum wages	50	9.7%	5-19
Up to ¼ of a minimum wage	35	6.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	90	18.0%	5-19
Ages 40–59, male	90	18.0%	5-19
Ages 15–24, female	65	13.0%	5-19
Ages 40–59, female	60	12.0%	5-19
Ages 60 and over, male	40	8.0%	5-19
Ages 60 and over, female	35	7.0%	5-19
Ages 15–24, male	35	7.0%	5-19
Ages 5–14, male	35	7.0%	5-19
Ages 25–39, male	30	6.0%	5-19
Other / suppressed	20	4.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,290	65.0%	>=500
Completed high school, incomplete higher education	1,190	18.0%	100-499
Completed higher education	605	9.2%	100-499
Completed elementary, incomplete high school	520	7.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,440	37.2%	>=500
¼ to ½ minimum wage	2,410	26.1%	100-499
1 to 2 minimum wages	1,420	15.4%	100-499
Up to ¼ of a minimum wage	1,280	13.8%	100-499
More than 2 minimum wages	660	7.1%	100-499
Not applicable (collective dwelling)	35	0.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,335	15.2%	100-499
Ages 40–59, male	1,320	15.1%	100-499
Ages 60 and over, female	1,205	13.7%	100-499
Ages 60 and over, male	1,085	12.4%	100-499
Ages 25–39, female	835	9.5%	100-499
Ages 25–39, male	825	9.4%	100-499
Ages 15–24, male	630	7.2%	100-499
Ages 15–24, female	540	6.2%	100-499
Ages 5–14, male	500	5.7%	50-99
Ages 5–14, female	495	5.6%	100-499

Commuting (work and study)

Commuting indicators for Ferros/MG
Employed persons (aged 10 and over)	3,365
Commute out to work in another municipality	155
Commute in from another municipality to work here	155
Net commuting	0
Out-commuting rate (%)	4.64
Commuting attraction index	0.996
Median commuting time	60 min

Open Ferros/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]: Ferros/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ferros-mg-3125903/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.