Migration in Dionísio/MG (2017–2022)

Dionísio/MG had a reference population (aged 5 or over in 2022) of 6,540 people. In the 2017–2022 five-year period, the municipality received 370 in-migrants and lost 550 out-migrants to other municipalities in Brazil, resulting in a net migration of −175 people (−26.87 per 1,000 population) and a migration effectiveness index (IEM) of −0.191. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Dionísio/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	370	258 to 482	use with caution
Out-migrants	550	305 to 795	use with caution
Net migration	−175	−444 to 94	not classified
Net migration rate, TLM (per 1,000 pop.)	−26.87	-	-
Migration effectiveness index (IEM)	−0.191	-	-

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 Dionísio/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	60	low precision
São Domingos do Prata/MG · view pair in the atlas	40	low precision
Betim/MG · view pair in the atlas	30	low precision
Marliéria/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Dionísio/MG
Destination	People	Precision
Ipatinga/MG · view pair in the atlas	160	low precision
Marliéria/MG · view pair in the atlas	65	low precision
São Domingos do Prata/MG · view pair in the atlas	30	low precision
São José do Goiabal/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	165	44.6%	50-99
Multi-step migration	105	28.4%	20-49
Return to municipality of birth	100	27.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	36.6%	20-49
Completed high school, incomplete higher education	65	31.7%	20-49
Completed higher education	35	17.1%	5-19
Completed elementary, incomplete high school	30	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	165	44.0%	20-49
½ to 1 minimum wage	110	29.3%	20-49
1 to 2 minimum wages	60	16.0%	20-49
Up to ¼ of a minimum wage	20	5.3%	5-19
More than 2 minimum wages	15	4.0%	5-19
Other / suppressed	5	1.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	50	13.3%	5-19
Ages 5–14, female	45	12.0%	5-19
Ages 5–14, male	45	12.0%	5-19
Ages 40–59, female	45	12.0%	5-19
Ages 40–59, male	45	12.0%	5-19
Ages 25–39, male	45	12.0%	5-19
Ages 25–39, female	40	10.7%	5-19
Ages 60 and over, male	25	6.7%	5-19
Ages 15–24, male	25	6.7%	5-19
Other / suppressed	10	2.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	300	54.5%	20-49
Multi-step migration	235	42.7%	20-49
Other / suppressed	15	2.7%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	39.4%	5-19
Completed high school, incomplete higher education	100	30.3%	5-19
Completed higher education	60	18.2%	5-19
Completed elementary, incomplete high school	40	12.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	29.1%	20-49
1 to 2 minimum wages	145	26.4%	5-19
More than 2 minimum wages	115	20.9%	5-19
Other / suppressed	75	13.6%	5-19
¼ to ½ minimum wage	55	10.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	105	18.9%	5-19
Ages 40–59, female	90	16.2%	5-19
Ages 15–24, male	65	11.7%	5-19
Ages 25–39, female	65	11.7%	5-19
Ages 25–39, male	55	9.9%	5-19
Ages 60 and over, female	55	9.9%	5-19
Ages 40–59, male	50	9.0%	5-19
Ages 5–14, male	40	7.2%	5-19
Other / suppressed	30	5.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,480	52.0%	>=500
Completed high school, incomplete higher education	1,265	26.5%	100-499
Completed elementary, incomplete high school	685	14.4%	100-499
Completed higher education	335	7.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,640	40.9%	>=500
¼ to ½ minimum wage	1,680	26.0%	>=500
1 to 2 minimum wages	1,150	17.8%	100-499
Up to ¼ of a minimum wage	630	9.8%	100-499
More than 2 minimum wages	350	5.4%	100-499
Other / suppressed	10	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,015	16.5%	100-499
Ages 40–59, male	930	15.1%	100-499
Ages 60 and over, female	920	14.9%	100-499
Ages 60 and over, male	760	12.3%	100-499
Ages 25–39, male	605	9.8%	100-499
Ages 25–39, female	535	8.7%	100-499
Ages 15–24, male	395	6.4%	100-499
Ages 15–24, female	385	6.2%	100-499
Ages 5–14, female	320	5.2%	50-99
Ages 5–14, male	295	4.8%	50-99

Commuting (work and study)

Commuting indicators for Dionísio/MG
Employed persons (aged 10 and over)	2,580
Commute out to work in another municipality	330
Commute in from another municipality to work here	105
Net commuting	−225
Out-commuting rate (%)	12.80
Commuting attraction index	0.898
Median commuting time	60 min

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

Open Dionísio/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]: Dionísio/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/dionisio-mg-3121803/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.