Migration in Estrela do Indaiá/MG (2017–2022)

Estrela do Indaiá/MG had a reference population (aged 5 or over in 2022) of 2,670 people. In the 2017–2022 five-year period, the municipality received 240 in-migrants and lost 225 out-migrants to other municipalities in Brazil, resulting in a net migration of +15 people (6.04 per 1,000 population) and a migration effectiveness index (IEM) of 0.035. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Estrela do Indaiá/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	240	162 to 318	use with caution
Out-migrants	225	89 to 361	low precision
Net migration	+15	−142 to 172	not classified
Net migration rate, TLM (per 1,000 pop.)	6.04	-	-
Migration effectiveness index (IEM)	0.035	-	-

Sample of in-migrants: 50-99 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 Estrela do Indaiá/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	40	low precision
Dores do Indaiá/MG · view pair in the atlas	35	low precision
Divinópolis/MG · view pair in the atlas	30	low precision
Contagem/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Estrela do Indaiá/MG
Destination	People	Precision
Luz/MG · view pair in the atlas	45	low precision
Serra da Saudade/MG · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	105	44.7%	20-49
First move from municipality of birth	65	27.7%	20-49
Multi-step migration	65	27.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	55	32.4%	5-19
No schooling or incomplete elementary	45	26.5%	5-19
Completed high school, incomplete higher education	40	23.5%	5-19
Completed elementary, incomplete high school	30	17.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	95	40.4%	20-49
More than 2 minimum wages	50	21.3%	20-49
¼ to ½ minimum wage	45	19.1%	5-19
1 to 2 minimum wages	35	14.9%	5-19
Other / suppressed	10	4.3%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	35	15.2%	5-19
Ages 25–39, male	35	15.2%	5-19
Ages 25–39, female	35	15.2%	5-19
Ages 5–14, female	30	13.0%	5-19
Ages 40–59, female	30	13.0%	5-19
Ages 60 and over, female	25	10.9%	5-19
Ages 40–59, male	25	10.9%	5-19
Ages 60 and over, male	15	6.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	180	80.0%	20-49
Multi-step migration	45	20.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	53.1%	5-19
Completed high school, incomplete higher education	55	34.4%	5-19
Other / suppressed	20	12.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	115	51.1%	5-19
Other / suppressed	60	26.7%	5-19
1 to 2 minimum wages	50	22.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	130	59.1%	20-49
Ages 60 and over, male	55	25.0%	5-19
Ages 15–24, female	35	15.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,110	57.1%	100-499
Completed high school, incomplete higher education	410	21.1%	100-499
Completed elementary, incomplete high school	225	11.6%	50-99
Completed higher education	200	10.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,140	45.1%	100-499
1 to 2 minimum wages	820	32.4%	100-499
¼ to ½ minimum wage	300	11.9%	100-499
More than 2 minimum wages	195	7.7%	50-99
Up to ¼ of a minimum wage	70	2.8%	5-19
Other / suppressed	5	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	430	17.7%	100-499
Ages 40–59, male	390	16.1%	100-499
Ages 40–59, female	375	15.5%	100-499
Ages 60 and over, male	340	14.0%	100-499
Ages 25–39, male	215	8.9%	50-99
Ages 25–39, female	190	7.8%	50-99
Ages 15–24, male	155	6.4%	50-99
Ages 15–24, female	130	5.4%	20-49
Ages 5–14, male	100	4.1%	20-49
Ages 5–14, female	100	4.1%	20-49

Commuting (work and study)

Commuting indicators for Estrela do Indaiá/MG
Employed persons (aged 10 and over)	1,300
Commute out to work in another municipality	35
Commute in from another municipality to work here	30
Net commuting	0
Out-commuting rate (%)	2.53
Commuting attraction index	0.978
Median commuting time	45 min

Open Estrela do Indaiá/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]: Estrela do Indaiá/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/estrela-do-indaia-mg-3124708/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.