Migration in Silvianópolis/MG (2017–2022)

Silvianópolis/MG had a reference population (aged 5 or over in 2022) of 5,855 people. In the 2017–2022 five-year period, the municipality received 575 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of +220 people (37.31 per 1,000 population) and a migration effectiveness index (IEM) of 0.235. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Silvianópolis/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	575	456 to 694	good
Out-migrants	355	205 to 505	use with caution
Net migration	+220	28 to 412	not classified
Net migration rate, TLM (per 1,000 pop.)	37.31	-	-
Migration effectiveness index (IEM)	0.235	-	-

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 Silvianópolis/MG
Origin	People	Precision
Pouso Alegre/MG · view pair in the atlas	135	use with caution
São Paulo/SP · view pair in the atlas	45	low precision
Turvolândia/MG · view pair in the atlas	45	low precision
Campinas/SP · view pair in the atlas	25	low precision
Machado/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Silvianópolis/MG
Destination	People	Precision
Pouso Alegre/MG · view pair in the atlas	160	low precision
Careaçu/MG · view pair in the atlas	45	low precision
Turvolândia/MG · view pair in the atlas	35	low precision
Espírito Santo do Dourado/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	260	45.2%	50-99
First move from municipality of birth	210	36.5%	50-99
Return to municipality of birth	105	18.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	135	34.2%	20-49
Completed higher education	105	26.6%	20-49
Completed high school, incomplete higher education	100	25.3%	20-49
Completed elementary, incomplete high school	55	13.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	190	32.8%	50-99
1 to 2 minimum wages	145	25.0%	20-49
¼ to ½ minimum wage	95	16.4%	20-49
More than 2 minimum wages	90	15.5%	20-49
Up to ¼ of a minimum wage	50	8.6%	5-19
Other / suppressed	10	1.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	85	15.0%	20-49
Ages 25–39, female	85	15.0%	20-49
Ages 15–24, female	65	11.5%	20-49
Ages 40–59, female	65	11.5%	20-49
Ages 40–59, male	60	10.6%	5-19
Ages 60 and over, male	50	8.8%	5-19
Ages 15–24, male	45	8.0%	5-19
Ages 60 and over, female	45	8.0%	5-19
Ages 5–14, female	40	7.1%	5-19
Ages 5–14, male	25	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	155	43.7%	20-49
First move from municipality of birth	145	40.8%	20-49
Return to municipality of birth	55	15.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	43.6%	20-49
Completed higher education	45	23.1%	5-19
Completed high school, incomplete higher education	40	20.5%	5-19
Completed elementary, incomplete high school	25	12.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	175	48.6%	20-49
¼ to ½ minimum wage	70	19.4%	5-19
½ to 1 minimum wage	60	16.7%	5-19
Up to ¼ of a minimum wage	40	11.1%	5-19
Other / suppressed	15	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	75	21.1%	5-19
Ages 40–59, male	55	15.5%	5-19
Other / suppressed	55	15.5%	5-19
Ages 60 and over, female	45	12.7%	5-19
Ages 40–59, female	35	9.9%	5-19
Ages 25–39, female	35	9.9%	5-19
Ages 5–14, male	35	9.9%	5-19
Ages 25–39, male	20	5.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,080	51.7%	>=500
Completed high school, incomplete higher education	855	21.3%	100-499
Completed higher education	565	14.1%	100-499
Completed elementary, incomplete high school	520	12.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,030	36.2%	>=500
1 to 2 minimum wages	1,445	25.8%	100-499
¼ to ½ minimum wage	970	17.3%	100-499
More than 2 minimum wages	780	13.9%	100-499
Up to ¼ of a minimum wage	345	6.2%	50-99
Not applicable (collective dwelling)	35	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	790	14.9%	100-499
Ages 40–59, female	755	14.3%	100-499
Ages 60 and over, male	740	14.0%	100-499
Ages 60 and over, female	710	13.4%	100-499
Ages 25–39, male	540	10.2%	100-499
Ages 25–39, female	490	9.3%	100-499
Ages 15–24, male	345	6.5%	100-499
Ages 5–14, male	315	6.0%	50-99
Ages 5–14, female	300	5.7%	50-99
Ages 15–24, female	300	5.7%	50-99

Commuting (work and study)

Commuting indicators for Silvianópolis/MG
Employed persons (aged 10 and over)	2,845
Commute out to work in another municipality	230
Commute in from another municipality to work here	130
Net commuting	−100
Out-commuting rate (%)	8.16
Commuting attraction index	0.949
Median commuting time	40 min

Open Silvianópolis/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]: Silvianópolis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/silvianopolis-mg-3167400/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.