Migration in Turvolândia/MG (2017–2022)

Turvolândia/MG had a reference population (aged 5 or over in 2022) of 4,605 people. In the 2017–2022 five-year period, the municipality received 500 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of +145 people (31.73 per 1,000 population) and a migration effectiveness index (IEM) of 0.171. 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 Turvolândia/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	500	381 to 619	good
Out-migrants	355	195 to 515	use with caution
Net migration	+145	−54 to 344	not classified
Net migration rate, TLM (per 1,000 pop.)	31.73	-	-
Migration effectiveness index (IEM)	0.171	-	-

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 Turvolândia/MG
Origin	People	Precision
São Paulo/SP · view pair in the atlas	55	low precision
Silvianópolis/MG · view pair in the atlas	35	low precision
Pouso Alegre/MG · view pair in the atlas	35	low precision
Cordislândia/MG · view pair in the atlas	35	low precision
Campo Formoso/BA · view pair in the atlas	25	low precision
São Gonçalo do Sapucaí/MG · view pair in the atlas	20	low precision
Carvalhópolis/MG · view pair in the atlas	15	low precision
Varginha/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Turvolândia/MG
Destination	People	Precision
Pouso Alegre/MG · view pair in the atlas	125	low precision
Silvianópolis/MG · view pair in the atlas	45	low precision
Carvalhópolis/MG · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	260	52.0%	50-99
First move from municipality of birth	195	39.0%	50-99
Return to municipality of birth	45	9.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	200	58.0%	50-99
Completed higher education	65	18.8%	20-49
Completed elementary, incomplete high school	45	13.0%	5-19
Completed high school, incomplete higher education	35	10.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	32.0%	50-99
¼ to ½ minimum wage	120	24.0%	20-49
1 to 2 minimum wages	115	23.0%	20-49
More than 2 minimum wages	60	12.0%	20-49
Up to ¼ of a minimum wage	40	8.0%	5-19
Other / suppressed	5	1.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	80	16.2%	20-49
Ages 25–39, male	75	15.2%	20-49
Ages 15–24, female	65	13.1%	5-19
Ages 40–59, female	50	10.1%	5-19
Ages 40–59, male	50	10.1%	5-19
Ages 60 and over, female	45	9.1%	5-19
Ages 5–14, male	40	8.1%	5-19
Ages 60 and over, male	40	8.1%	5-19
Ages 5–14, female	30	6.1%	5-19
Ages 15–24, male	20	4.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	250	71.4%	20-49
First move from municipality of birth	75	21.4%	5-19
Return to municipality of birth	25	7.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	90	42.9%	5-19
Completed higher education	55	26.2%	5-19
No schooling or incomplete elementary	40	19.0%	5-19
Other / suppressed	25	11.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	185	52.9%	20-49
½ to 1 minimum wage	60	17.1%	5-19
More than 2 minimum wages	55	15.7%	5-19
¼ to ½ minimum wage	45	12.9%	5-19
Other / suppressed	5	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	95	26.8%	5-19
Ages 25–39, female	95	26.8%	5-19
Ages 15–24, female	90	25.4%	5-19
Ages 40–59, male	50	14.1%	5-19
Ages 40–59, female	25	7.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,790	60.6%	>=500
Completed high school, incomplete higher education	555	18.8%	100-499
Completed elementary, incomplete high school	350	11.8%	100-499
Completed higher education	260	8.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,620	36.5%	>=500
¼ to ½ minimum wage	1,130	25.5%	100-499
1 to 2 minimum wages	980	22.1%	100-499
Up to ¼ of a minimum wage	370	8.3%	100-499
More than 2 minimum wages	295	6.7%	50-99
Not applicable (collective dwelling)	40	0.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	630	15.4%	100-499
Ages 40–59, female	570	13.9%	100-499
Ages 25–39, male	475	11.6%	100-499
Ages 60 and over, male	450	11.0%	100-499
Ages 25–39, female	415	10.1%	100-499
Ages 60 and over, female	415	10.1%	100-499
Ages 15–24, male	315	7.7%	50-99
Ages 5–14, male	285	7.0%	50-99
Ages 15–24, female	285	7.0%	50-99
Ages 5–14, female	260	6.3%	50-99

Commuting (work and study)

Commuting indicators for Turvolândia/MG
Employed persons (aged 10 and over)	2,135
Commute out to work in another municipality	50
Commute in from another municipality to work here	80
Net commuting	+30
Out-commuting rate (%)	2.39
Commuting attraction index	1.007
Median commuting time	50 min

Open Turvolândia/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]: Turvolândia/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/turvolandia-mg-3169802/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.