Migration in Divinésia/MG (2017–2022)

Divinésia/MG had a reference population (aged 5 or over in 2022) of 3,975 people. In the 2017–2022 five-year period, the municipality received 550 in-migrants and lost 180 out-migrants to other municipalities in Brazil, resulting in a net migration of +370 people (92.86 per 1,000 population) and a migration effectiveness index (IEM) of 0.506. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Divinésia/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	550	438 to 662	good
Out-migrants	180	84 to 276	use with caution
Net migration	+370	222 to 518	not classified
Net migration rate, TLM (per 1,000 pop.)	92.86	-	-
Migration effectiveness index (IEM)	0.506	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Divinésia/MG
Origin	People	Precision
Ubá/MG · view pair in the atlas	220	use with caution
Paula Cândido/MG · view pair in the atlas	50	low precision
Rio de Janeiro/RJ · view pair in the atlas	40	low precision
Senador Firmino/MG · view pair in the atlas	30	low precision
São Paulo/SP · view pair in the atlas	30	low precision
Belo Horizonte/MG · view pair in the atlas	25	low precision
Viçosa/MG · view pair in the atlas	20	low precision
Mauá/SP · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Divinésia/MG
Destination	People	Precision
Ubá/MG · view pair in the atlas	55	low precision
Senador Firmino/MG · view pair in the atlas	40	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	245	44.5%	50-99
First move from municipality of birth	245	44.5%	50-99
Return to municipality of birth	60	10.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	41.6%	50-99
Completed high school, incomplete higher education	115	29.9%	20-49
Completed higher education	65	16.9%	20-49
Completed elementary, incomplete high school	45	11.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	185	33.9%	50-99
1 to 2 minimum wages	150	27.5%	20-49
¼ to ½ minimum wage	110	20.2%	20-49
More than 2 minimum wages	60	11.0%	5-19
Up to ¼ of a minimum wage	40	7.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	110	20.0%	20-49
Ages 25–39, female	100	18.2%	20-49
Ages 40–59, female	65	11.8%	20-49
Ages 40–59, male	55	10.0%	5-19
Ages 15–24, male	55	10.0%	5-19
Ages 15–24, female	45	8.2%	5-19
Ages 5–14, male	40	7.3%	5-19
Ages 5–14, female	30	5.5%	5-19
Ages 60 and over, female	25	4.5%	5-19
Ages 60 and over, male	25	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	105	58.3%	5-19
Multi-step migration	60	33.3%	5-19
Return to municipality of birth	15	8.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	50	45.5%	5-19
No schooling or incomplete elementary	30	27.3%	5-19
Other / suppressed	30	27.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	65	36.1%	5-19
1 to 2 minimum wages	50	27.8%	5-19
Up to ¼ of a minimum wage	25	13.9%	5-19
½ to 1 minimum wage	25	13.9%	5-19
Other / suppressed	15	8.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	70	40.0%	5-19
Other / suppressed	55	31.4%	5-19
Ages 5–14, female	35	20.0%	5-19
Ages 5–14, male	15	8.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,395	56.8%	100-499
Completed high school, incomplete higher education	525	21.4%	100-499
Completed elementary, incomplete high school	310	12.6%	100-499
Completed higher education	225	9.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,520	41.3%	>=500
1 to 2 minimum wages	880	23.9%	100-499
¼ to ½ minimum wage	790	21.5%	100-499
More than 2 minimum wages	250	6.8%	50-99
Up to ¼ of a minimum wage	240	6.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	490	14.3%	100-499
Ages 40–59, male	485	14.2%	100-499
Ages 25–39, male	395	11.5%	100-499
Ages 25–39, female	375	10.9%	100-499
Ages 60 and over, female	370	10.8%	100-499
Ages 60 and over, male	340	9.9%	100-499
Ages 5–14, female	275	8.0%	50-99
Ages 5–14, male	245	7.2%	50-99
Ages 15–24, female	225	6.6%	50-99
Ages 15–24, male	225	6.6%	50-99

Commuting (work and study)

Commuting indicators for Divinésia/MG
Employed persons (aged 10 and over)	1,855
Commute out to work in another municipality	320
Commute in from another municipality to work here	95
Net commuting	−225
Out-commuting rate (%)	17.30
Commuting attraction index	0.866
Median commuting time	30 min

Open Divinésia/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]: Divinésia/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/divinesia-mg-3121902/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.