Migration in Guarda-Mor/MG (2017–2022)

Guarda-Mor/MG had a reference population (aged 5 or over in 2022) of 6,130 people. In the 2017–2022 five-year period, the municipality received 735 in-migrants and lost 390 out-migrants to other municipalities in Brazil, resulting in a net migration of +340 people (55.85 per 1,000 population) and a migration effectiveness index (IEM) of 0.304. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Guarda-Mor/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	735	592 to 878	good
Out-migrants	390	179 to 601	use with caution
Net migration	+340	85 to 595	not classified
Net migration rate, TLM (per 1,000 pop.)	55.85	-	-
Migration effectiveness index (IEM)	0.304	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Guarda-Mor/MG
Origin	People	Precision
Paracatu/MG · view pair in the atlas	185	use with caution
Vazante/MG · view pair in the atlas	90	use with caution
Catalão/GO · view pair in the atlas	45	low precision
Coromandel/MG · view pair in the atlas	35	low precision
Uberlândia/MG · view pair in the atlas	25	low precision
Brasília/DF · view pair in the atlas	20	low precision
Patos de Minas/MG · view pair in the atlas	20	low precision
Patrocínio/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Guarda-Mor/MG
Destination	People	Precision
Catalão/GO · view pair in the atlas	85	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	330	44.9%	100-499
Multi-step migration	330	44.9%	100-499
Return to municipality of birth	75	10.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	210	44.7%	50-99
Completed high school, incomplete higher education	120	25.5%	20-49
Completed elementary, incomplete high school	80	17.0%	20-49
Completed higher education	60	12.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	250	34.2%	50-99
1 to 2 minimum wages	185	25.3%	50-99
¼ to ½ minimum wage	130	17.8%	20-49
More than 2 minimum wages	100	13.7%	20-49
Up to ¼ of a minimum wage	60	8.2%	5-19
Other / suppressed	5	0.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	135	18.4%	20-49
Ages 25–39, female	105	14.3%	20-49
Ages 40–59, female	95	12.9%	20-49
Ages 5–14, male	80	10.9%	20-49
Ages 40–59, male	80	10.9%	20-49
Ages 5–14, female	65	8.8%	20-49
Ages 15–24, male	65	8.8%	20-49
Ages 15–24, female	60	8.2%	20-49
Ages 60 and over, female	30	4.1%	5-19
Ages 60 and over, male	20	2.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	155	39.2%	5-19
First move from municipality of birth	135	34.2%	5-19
Return to municipality of birth	105	26.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	51.1%	5-19
Completed high school, incomplete higher education	55	24.4%	5-19
Other / suppressed	55	24.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	130	33.8%	5-19
Up to ¼ of a minimum wage	90	23.4%	5-19
¼ to ½ minimum wage	60	15.6%	5-19
1 to 2 minimum wages	55	14.3%	5-19
More than 2 minimum wages	50	13.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	115	29.5%	5-19
Ages 40–59, male	80	20.5%	5-19
Ages 5–14, male	75	19.2%	5-19
Ages 25–39, female	50	12.8%	5-19
Ages 25–39, male	40	10.3%	5-19
Ages 5–14, female	30	7.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,895	47.9%	>=500
Completed high school, incomplete higher education	950	24.0%	100-499
Completed higher education	560	14.2%	100-499
Completed elementary, incomplete high school	550	13.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,990	34.3%	>=500
1 to 2 minimum wages	1,735	29.9%	>=500
More than 2 minimum wages	1,020	17.6%	100-499
¼ to ½ minimum wage	770	13.3%	100-499
Up to ¼ of a minimum wage	265	4.6%	50-99
Not applicable (collective dwelling)	20	0.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	910	16.9%	100-499
Ages 40–59, female	825	15.3%	100-499
Ages 25–39, female	595	11.0%	100-499
Ages 25–39, male	580	10.8%	100-499
Ages 60 and over, male	550	10.2%	100-499
Ages 60 and over, female	490	9.1%	100-499
Ages 5–14, male	385	7.1%	100-499
Ages 5–14, female	365	6.8%	100-499
Ages 15–24, female	350	6.5%	100-499
Ages 15–24, male	345	6.4%	100-499

Commuting (work and study)

Commuting indicators for Guarda-Mor/MG
Employed persons (aged 10 and over)	3,345
Commute out to work in another municipality	45
Commute in from another municipality to work here	390
Net commuting	+345
Out-commuting rate (%)	1.30
Commuting attraction index	1.094
Median commuting time	32 min

Open Guarda-Mor/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]: Guarda-Mor/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/guarda-mor-mg-3128600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.