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

Estrela do Sul/MG had a reference population (aged 5 or over in 2022) of 6,420 people. In the 2017–2022 five-year period, the municipality received 805 in-migrants and lost 550 out-migrants to other municipalities in Brazil, resulting in a net migration of +255 people (39.67 per 1,000 population) and a migration effectiveness index (IEM) of 0.188. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Estrela do Sul/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	805	598 to 1,012	good
Out-migrants	550	312 to 788	use with caution
Net migration	+255	−60 to 570	not classified
Net migration rate, TLM (per 1,000 pop.)	39.67	-	-
Migration effectiveness index (IEM)	0.188	-	-

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 Estrela do Sul/MG
Origin	People	Precision
Uberlândia/MG · view pair in the atlas	125	use with caution
Monte Carmelo/MG · view pair in the atlas	85	low precision
Uberaba/MG · view pair in the atlas	80	low precision
Araguari/MG · view pair in the atlas	70	low precision
Barro/CE · view pair in the atlas	35	low precision
Romaria/MG · view pair in the atlas	20	low precision
Cascalho Rico/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Estrela do Sul/MG
Destination	People	Precision
Monte Carmelo/MG · view pair in the atlas	130	low precision
Araguari/MG · view pair in the atlas	65	low precision
Grupiara/MG · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	375	46.6%	50-99
First move from municipality of birth	305	37.9%	50-99
Return to municipality of birth	125	15.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	175	34.7%	20-49
No schooling or incomplete elementary	170	33.7%	20-49
Completed higher education	100	19.8%	20-49
Completed elementary, incomplete high school	60	11.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	270	33.5%	50-99
1 to 2 minimum wages	205	25.5%	20-49
¼ to ½ minimum wage	130	16.1%	20-49
More than 2 minimum wages	105	13.0%	20-49
Up to ¼ of a minimum wage	90	11.2%	5-19
Other / suppressed	5	0.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	160	19.8%	20-49
Ages 25–39, female	155	19.1%	20-49
Ages 5–14, male	95	11.7%	5-19
Ages 15–24, female	85	10.5%	5-19
Ages 15–24, male	65	8.0%	5-19
Ages 40–59, male	55	6.8%	5-19
Ages 40–59, female	55	6.8%	5-19
Ages 5–14, female	55	6.8%	5-19
Ages 60 and over, female	50	6.2%	5-19
Ages 60 and over, male	35	4.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	300	54.5%	20-49
First move from municipality of birth	130	23.6%	5-19
Return to municipality of birth	110	20.0%	5-19
Other / suppressed	10	1.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	48.5%	20-49
Completed high school, incomplete higher education	90	27.3%	5-19
Completed higher education	45	13.6%	5-19
Other / suppressed	35	10.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	185	33.6%	20-49
More than 2 minimum wages	130	23.6%	5-19
¼ to ½ minimum wage	110	20.0%	20-49
Other / suppressed	80	14.5%	<5
1 to 2 minimum wages	45	8.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	105	18.9%	5-19
Ages 5–14, female	95	17.1%	5-19
Other / suppressed	80	14.4%	5-19
Ages 40–59, female	70	12.6%	5-19
Ages 25–39, female	65	11.7%	5-19
Ages 40–59, male	50	9.0%	5-19
Ages 15–24, male	45	8.1%	5-19
Ages 5–14, male	45	8.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,240	52.7%	100-499
Completed high school, incomplete higher education	1,130	26.6%	100-499
Completed elementary, incomplete high school	460	10.8%	50-99
Completed higher education	420	9.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,385	39.6%	100-499
1 to 2 minimum wages	1,795	29.8%	100-499
¼ to ½ minimum wage	760	12.6%	100-499
More than 2 minimum wages	740	12.3%	100-499
Up to ¼ of a minimum wage	330	5.5%	50-99
Other / suppressed	20	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	950	16.9%	100-499
Ages 40–59, female	880	15.7%	100-499
Ages 60 and over, male	700	12.5%	100-499
Ages 60 and over, female	620	11.1%	100-499
Ages 25–39, female	560	10.0%	100-499
Ages 25–39, male	550	9.8%	100-499
Ages 15–24, male	390	7.0%	50-99
Ages 5–14, male	345	6.2%	50-99
Ages 15–24, female	305	5.4%	50-99
Ages 5–14, female	305	5.4%	50-99

Commuting (work and study)

Commuting indicators for Estrela do Sul/MG
Employed persons (aged 10 and over)	3,470
Commute out to work in another municipality	215
Commute in from another municipality to work here	130
Net commuting	−85
Out-commuting rate (%)	6.20
Commuting attraction index	0.964
Median commuting time	48 min

Open Estrela do Sul/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 Sul/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-sul-mg-3124807/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.