Migration in Entre Folhas/MG (2017–2022)

Entre Folhas/MG had a reference population (aged 5 or over in 2022) of 4,865 people. In the 2017–2022 five-year period, the municipality received 290 in-migrants and lost 415 out-migrants to other municipalities in Brazil, resulting in a net migration of −125 people (−25.26 per 1,000 population) and a migration effectiveness index (IEM) of −0.174. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Entre Folhas/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	290	208 to 372	good
Out-migrants	415	233 to 597	use with caution
Net migration	−125	−324 to 74	not classified
Net migration rate, TLM (per 1,000 pop.)	−25.26	-	-
Migration effectiveness index (IEM)	−0.174	-	-

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 Entre Folhas/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	45	low precision
Caratinga/MG · view pair in the atlas	40	low precision
Bom Jesus do Galho/MG · view pair in the atlas	35	low precision
Vargem Alegre/MG · view pair in the atlas	25	low precision
Timóteo/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Entre Folhas/MG
Destination	People	Precision
Caratinga/MG · view pair in the atlas	120	low precision
Vargem Alegre/MG · view pair in the atlas	50	low precision
Piedade de Caratinga/MG · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	115	39.0%	20-49
Multi-step migration	115	39.0%	20-49
Return to municipality of birth	65	22.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	58.5%	20-49
Completed high school, incomplete higher education	45	22.0%	5-19
Completed elementary, incomplete high school	30	14.6%	5-19
Other / suppressed	10	4.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	49.2%	50-99
Up to ¼ of a minimum wage	65	22.0%	20-49
¼ to ½ minimum wage	45	15.3%	5-19
1 to 2 minimum wages	30	10.2%	5-19
Other / suppressed	10	3.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	55	18.6%	5-19
Ages 25–39, male	45	15.3%	5-19
Ages 40–59, female	35	11.9%	5-19
Ages 25–39, female	35	11.9%	5-19
Ages 15–24, female	30	10.2%	5-19
Ages 5–14, male	20	6.8%	5-19
Ages 60 and over, male	20	6.8%	5-19
Ages 5–14, female	20	6.8%	5-19
Ages 15–24, male	20	6.8%	5-19
Ages 60 and over, female	15	5.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	200	48.2%	20-49
First move from municipality of birth	140	33.7%	5-19
Return to municipality of birth	75	18.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	37.5%	5-19
Completed high school, incomplete higher education	70	29.2%	5-19
Completed higher education	55	22.9%	5-19
Other / suppressed	25	10.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	150	36.6%	20-49
1 to 2 minimum wages	95	23.2%	5-19
¼ to ½ minimum wage	95	23.2%	20-49
Other / suppressed	70	17.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	70	16.9%	5-19
Ages 25–39, male	65	15.7%	5-19
Ages 40–59, female	60	14.5%	5-19
Ages 15–24, male	55	13.3%	5-19
Other / suppressed	45	10.8%	5-19
Ages 5–14, male	35	8.4%	5-19
Ages 25–39, female	35	8.4%	5-19
Ages 60 and over, male	30	7.2%	5-19
Ages 5–14, female	20	4.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,250	67.2%	>=500
Completed high school, incomplete higher education	550	16.4%	100-499
Completed higher education	285	8.5%	50-99
Completed elementary, incomplete high school	265	7.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,910	39.2%	>=500
¼ to ½ minimum wage	1,315	27.0%	100-499
1 to 2 minimum wages	900	18.5%	100-499
Up to ¼ of a minimum wage	615	12.6%	100-499
More than 2 minimum wages	135	2.8%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	710	15.6%	100-499
Ages 40–59, male	675	14.8%	100-499
Ages 60 and over, male	540	11.9%	100-499
Ages 60 and over, female	520	11.4%	100-499
Ages 25–39, female	455	10.0%	100-499
Ages 25–39, male	450	9.9%	100-499
Ages 5–14, male	330	7.2%	100-499
Ages 15–24, male	315	6.9%	50-99
Ages 15–24, female	295	6.5%	50-99
Ages 5–14, female	265	5.8%	50-99

Commuting (work and study)

Commuting indicators for Entre Folhas/MG
Employed persons (aged 10 and over)	1,805
Commute out to work in another municipality	180
Commute in from another municipality to work here	90
Net commuting	−90
Out-commuting rate (%)	10.01
Commuting attraction index	0.937
Median commuting time	50 min

This municipality is part of Colar Metropolitano → see the metropolitan region page

Open Entre Folhas/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]: Entre Folhas/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/entre-folhas-mg-3123858/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.