Migration in Guarani/MG (2017–2022)

Guarani/MG had a reference population (aged 5 or over in 2022) of 7,270 people. In the 2017–2022 five-year period, the municipality received 515 in-migrants and lost 550 out-migrants to other municipalities in Brazil, resulting in a net migration of −35 people (−4.61 per 1,000 population) and a migration effectiveness index (IEM) of −0.032. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Guarani/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	515	358 to 672	use with caution
Out-migrants	550	373 to 727	use with caution
Net migration	−35	−272 to 202	not classified
Net migration rate, TLM (per 1,000 pop.)	−4.61	-	-
Migration effectiveness index (IEM)	−0.032	-	-

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 Guarani/MG
Origin	People	Precision
Juiz de Fora/MG · view pair in the atlas	165	low precision
Piraúba/MG · view pair in the atlas	55	low precision
Rio Novo/MG · view pair in the atlas	50	low precision
Rio de Janeiro/RJ · view pair in the atlas	50	low precision
São João Nepomuceno/MG · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Guarani/MG
Destination	People	Precision
Juiz de Fora/MG · view pair in the atlas	105	low precision
Ubá/MG · view pair in the atlas	60	low precision
Rio Pomba/MG · view pair in the atlas	50	low precision
Piraúba/MG · view pair in the atlas	45	low precision
Rio Novo/MG · view pair in the atlas	35	low precision
Goianá/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	235	45.6%	20-49
Return to municipality of birth	150	29.1%	20-49
Multi-step migration	130	25.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	46.4%	20-49
Completed higher education	90	26.1%	5-19
Completed high school, incomplete higher education	65	18.8%	5-19
Completed elementary, incomplete high school	30	8.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	170	33.0%	20-49
½ to 1 minimum wage	145	28.2%	20-49
1 to 2 minimum wages	85	16.5%	5-19
More than 2 minimum wages	85	16.5%	5-19
Up to ¼ of a minimum wage	30	5.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	16.5%	5-19
Ages 40–59, female	70	13.6%	5-19
Ages 40–59, male	70	13.6%	5-19
Ages 25–39, male	70	13.6%	5-19
Ages 5–14, female	45	8.7%	5-19
Ages 5–14, male	45	8.7%	5-19
Ages 15–24, male	45	8.7%	5-19
Ages 15–24, female	35	6.8%	5-19
Ages 60 and over, male	25	4.9%	5-19
Other / suppressed	25	4.9%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	335	60.9%	50-99
Multi-step migration	180	32.7%	20-49
Return to municipality of birth	35	6.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	140	39.4%	5-19
No schooling or incomplete elementary	135	38.0%	5-19
Other / suppressed	50	14.1%	<5
Completed elementary, incomplete high school	30	8.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	200	36.7%	20-49
1 to 2 minimum wages	140	25.7%	5-19
More than 2 minimum wages	120	22.0%	5-19
¼ to ½ minimum wage	60	11.0%	5-19
Other / suppressed	25	4.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	100	18.3%	5-19
Ages 15–24, female	90	16.5%	5-19
Ages 25–39, female	70	12.8%	5-19
Ages 40–59, male	70	12.8%	5-19
Other / suppressed	50	9.2%	5-19
Ages 5–14, male	45	8.3%	5-19
Ages 15–24, male	45	8.3%	5-19
Ages 40–59, female	45	8.3%	5-19
Ages 60 and over, male	30	5.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,475	48.8%	>=500
Completed high school, incomplete higher education	1,415	27.9%	100-499
Completed elementary, incomplete high school	595	11.7%	100-499
Completed higher education	590	11.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,930	40.7%	>=500
1 to 2 minimum wages	1,585	22.0%	100-499
¼ to ½ minimum wage	1,415	19.7%	100-499
More than 2 minimum wages	710	9.9%	100-499
Up to ¼ of a minimum wage	525	7.3%	100-499
Not applicable (collective dwelling)	30	0.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	995	14.8%	100-499
Ages 40–59, female	955	14.2%	100-499
Ages 60 and over, female	895	13.3%	100-499
Ages 60 and over, male	795	11.8%	100-499
Ages 25–39, female	720	10.7%	100-499
Ages 25–39, male	710	10.5%	100-499
Ages 15–24, male	430	6.4%	50-99
Ages 15–24, female	425	6.3%	50-99
Ages 5–14, male	415	6.2%	50-99
Ages 5–14, female	405	6.0%	50-99

Commuting (work and study)

Commuting indicators for Guarani/MG
Employed persons (aged 10 and over)	3,465
Commute out to work in another municipality	265
Commute in from another municipality to work here	215
Net commuting	−50
Out-commuting rate (%)	7.70
Commuting attraction index	0.940
Median commuting time	30 min

Open Guarani/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]: Guarani/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/guarani-mg-3128402/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.