Migration in Frei Gaspar/MG (2017–2022)

Frei Gaspar/MG had a reference population (aged 5 or over in 2022) of 5,235 people. In the 2017–2022 five-year period, the municipality received 410 in-migrants and lost 345 out-migrants to other municipalities in Brazil, resulting in a net migration of +65 people (12.35 per 1,000 population) and a migration effectiveness index (IEM) of 0.086. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Frei Gaspar/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	410	312 to 508	good
Out-migrants	345	210 to 480	use with caution
Net migration	+65	−102 to 232	not classified
Net migration rate, TLM (per 1,000 pop.)	12.35	-	-
Migration effectiveness index (IEM)	0.086	-	-

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 Frei Gaspar/MG
Origin	People	Precision
Teófilo Otoni/MG · view pair in the atlas	105	use with caution
Franca/SP · view pair in the atlas	45	low precision
Belo Horizonte/MG · view pair in the atlas	40	low precision
Ouro Verde de Minas/MG · view pair in the atlas	35	low precision
Rio de Janeiro/RJ · view pair in the atlas	20	low precision
Ipatinga/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Frei Gaspar/MG
Destination	People	Precision
Itambacuri/MG · view pair in the atlas	80	low precision
Governador Valadares/MG · view pair in the atlas	80	low precision
Teófilo Otoni/MG · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	175	42.7%	50-99
Multi-step migration	130	31.7%	20-49
Return to municipality of birth	100	24.4%	20-49
Other / suppressed	5	1.2%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	47.5%	20-49
Completed elementary, incomplete high school	60	20.3%	5-19
Completed high school, incomplete higher education	60	20.3%	20-49
Completed higher education	35	11.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	135	32.9%	20-49
¼ to ½ minimum wage	125	30.5%	20-49
Up to ¼ of a minimum wage	80	19.5%	20-49
1 to 2 minimum wages	55	13.4%	5-19
More than 2 minimum wages	15	3.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	80	19.5%	20-49
Ages 25–39, female	65	15.9%	20-49
Ages 40–59, male	60	14.6%	20-49
Ages 40–59, female	40	9.8%	5-19
Ages 5–14, male	35	8.5%	5-19
Ages 60 and over, male	30	7.3%	5-19
Ages 15–24, female	25	6.1%	5-19
Ages 60 and over, female	25	6.1%	5-19
Ages 15–24, male	25	6.1%	5-19
Ages 5–14, female	25	6.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	165	47.8%	20-49
First move from municipality of birth	130	37.7%	20-49
Return to municipality of birth	50	14.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	38.5%	5-19
Completed high school, incomplete higher education	75	38.5%	5-19
Other / suppressed	45	23.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	140	41.2%	20-49
½ to 1 minimum wage	80	23.5%	5-19
Other / suppressed	55	16.2%	5-19
1 to 2 minimum wages	35	10.3%	5-19
Up to ¼ of a minimum wage	30	8.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	85	25.0%	5-19
Other / suppressed	60	17.6%	5-19
Ages 25–39, female	55	16.2%	5-19
Ages 25–39, male	55	16.2%	5-19
Ages 40–59, male	45	13.2%	5-19
Ages 15–24, male	40	11.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,160	65.3%	>=500
Completed high school, incomplete higher education	510	15.4%	100-499
Completed elementary, incomplete high school	465	14.0%	100-499
Completed higher education	175	5.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,930	37.0%	>=500
¼ to ½ minimum wage	1,585	30.4%	100-499
Up to ¼ of a minimum wage	1,000	19.2%	100-499
1 to 2 minimum wages	565	10.8%	100-499
More than 2 minimum wages	130	2.5%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	720	15.0%	100-499
Ages 40–59, female	665	13.8%	100-499
Ages 60 and over, female	495	10.3%	100-499
Ages 25–39, female	495	10.3%	100-499
Ages 25–39, male	480	10.0%	100-499
Ages 60 and over, male	460	9.6%	100-499
Ages 15–24, male	405	8.4%	100-499
Ages 15–24, female	380	7.9%	100-499
Ages 5–14, female	370	7.7%	100-499
Ages 5–14, male	340	7.1%	100-499

Commuting (work and study)

Commuting indicators for Frei Gaspar/MG
Employed persons (aged 10 and over)	1,840
Commute out to work in another municipality	140
Commute in from another municipality to work here	70
Net commuting	−70
Out-commuting rate (%)	7.48
Commuting attraction index	0.952
Median commuting time	40 min

Open Frei Gaspar/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]: Frei Gaspar/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/frei-gaspar-mg-3126802/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.