Migration in Fervedouro/MG (2017–2022)

Fervedouro/MG had a reference population (aged 5 or over in 2022) of 9,805 people. In the 2017–2022 five-year period, the municipality received 610 in-migrants and lost 635 out-migrants to other municipalities in Brazil, resulting in a net migration of −30 people (−2.93 per 1,000 population) and a migration effectiveness index (IEM) of −0.023. 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 Fervedouro/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	610	460 to 760	good
Out-migrants	635	425 to 845	use with caution
Net migration	−30	−288 to 228	not classified
Net migration rate, TLM (per 1,000 pop.)	−2.93	-	-
Migration effectiveness index (IEM)	−0.023	-	-

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

Top origins and destinations

Top 10 origins of in-migrants to Fervedouro/MG
Origin	People	Precision
Carangola/MG · view pair in the atlas	80	low precision
Divino/MG · view pair in the atlas	80	low precision
Muriaé/MG · view pair in the atlas	65	low precision
São Francisco do Glória/MG · view pair in the atlas	35	low precision

Top 10 destinations of out-migrants from Fervedouro/MG
Destination	People	Precision
Divino/MG · view pair in the atlas	110	low precision
Carangola/MG · view pair in the atlas	95	low precision
São Francisco do Glória/MG · view pair in the atlas	95	use with caution
Muriaé/MG · view pair in the atlas	70	low precision
Miradouro/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	255	41.8%	50-99
Multi-step migration	215	35.2%	20-49
Return to municipality of birth	140	23.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	42.0%	20-49
Completed high school, incomplete higher education	130	32.1%	20-49
Completed elementary, incomplete high school	85	21.0%	5-19
Completed higher education	20	4.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	215	35.5%	20-49
¼ to ½ minimum wage	175	28.9%	20-49
1 to 2 minimum wages	105	17.4%	20-49
Up to ¼ of a minimum wage	70	11.6%	5-19
Other / suppressed	40	6.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	105	17.1%	20-49
Ages 40–59, female	95	15.4%	5-19
Ages 40–59, male	80	13.0%	5-19
Ages 25–39, male	65	10.6%	5-19
Ages 15–24, female	60	9.8%	5-19
Ages 5–14, male	60	9.8%	5-19
Ages 15–24, male	45	7.3%	5-19
Ages 5–14, female	40	6.5%	5-19
Ages 60 and over, male	35	5.7%	5-19
Ages 60 and over, female	30	4.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	255	40.2%	20-49
First move from municipality of birth	235	37.0%	20-49
Return to municipality of birth	145	22.8%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	46.6%	20-49
Completed high school, incomplete higher education	105	28.8%	5-19
Completed elementary, incomplete high school	60	16.4%	5-19
Completed higher education	30	8.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	230	36.2%	20-49
½ to 1 minimum wage	180	28.3%	20-49
1 to 2 minimum wages	110	17.3%	5-19
Other / suppressed	45	7.1%	<5
More than 2 minimum wages	40	6.3%	5-19
Up to ¼ of a minimum wage	30	4.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	85	13.5%	5-19
Ages 40–59, male	85	13.5%	5-19
Ages 15–24, female	80	12.7%	5-19
Ages 15–24, male	75	11.9%	5-19
Ages 5–14, male	60	9.5%	5-19
Ages 25–39, female	60	9.5%	5-19
Ages 5–14, female	55	8.7%	5-19
Ages 40–59, female	50	7.9%	5-19
Ages 60 and over, male	40	6.3%	5-19
Ages 60 and over, female	40	6.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,095	64.2%	>=500
Completed high school, incomplete higher education	1,130	17.7%	100-499
Completed elementary, incomplete high school	635	10.0%	100-499
Completed higher education	520	8.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,535	36.0%	>=500
¼ to ½ minimum wage	2,640	26.9%	>=500
Up to ¼ of a minimum wage	1,800	18.3%	100-499
1 to 2 minimum wages	1,415	14.4%	100-499
More than 2 minimum wages	425	4.3%	50-99
Other / suppressed	15	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,385	15.1%	100-499
Ages 40–59, female	1,220	13.3%	100-499
Ages 25–39, male	1,110	12.1%	100-499
Ages 25–39, female	1,025	11.1%	100-499
Ages 60 and over, female	825	9.0%	100-499
Ages 60 and over, male	815	8.9%	100-499
Ages 15–24, male	770	8.4%	100-499
Ages 15–24, female	735	8.0%	100-499
Ages 5–14, male	675	7.3%	100-499
Ages 5–14, female	635	6.9%	100-499

Commuting (work and study)

Commuting indicators for Fervedouro/MG
Employed persons (aged 10 and over)	3,955
Commute out to work in another municipality	120
Commute in from another municipality to work here	190
Net commuting	+65
Out-commuting rate (%)	3.09
Commuting attraction index	1.002
Median commuting time	30 min

Open Fervedouro/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]: Fervedouro/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/fervedouro-mg-3125952/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.