Migration in São Francisco do Glória/MG (2017–2022)

São Francisco do Glória/MG had a reference population (aged 5 or over in 2022) of 4,540 people. In the 2017–2022 five-year period, the municipality received 470 in-migrants and lost 360 out-migrants to other municipalities in Brazil, resulting in a net migration of +110 people (24.27 per 1,000 population) and a migration effectiveness index (IEM) of 0.134. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for São Francisco do Glória/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	470	349 to 591	good
Out-migrants	360	204 to 516	use with caution
Net migration	+110	−88 to 308	not classified
Net migration rate, TLM (per 1,000 pop.)	24.27	-	-
Migration effectiveness index (IEM)	0.134	-	-

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 São Francisco do Glória/MG
Origin	People	Precision
Fervedouro/MG · view pair in the atlas	95	use with caution
Miradouro/MG · view pair in the atlas	65	low precision
Muriaé/MG · view pair in the atlas	45	low precision
Duque de Caxias/RJ · view pair in the atlas	40	low precision
Carangola/MG · view pair in the atlas	25	low precision
Belo Horizonte/MG · view pair in the atlas	20	low precision
Itaperuna/RJ · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Francisco do Glória/MG
Destination	People	Precision
Muriaé/MG · view pair in the atlas	55	low precision
Vieiras/MG · view pair in the atlas	50	low precision
Fervedouro/MG · view pair in the atlas	35	low precision
Pedra Dourada/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	185	39.4%	50-99
First move from municipality of birth	165	35.1%	50-99
Return to municipality of birth	120	25.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	140	47.5%	20-49
Completed high school, incomplete higher education	80	27.1%	20-49
Completed elementary, incomplete high school	45	15.3%	5-19
Completed higher education	30	10.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	185	39.4%	50-99
¼ to ½ minimum wage	100	21.3%	20-49
Up to ¼ of a minimum wage	75	16.0%	20-49
1 to 2 minimum wages	55	11.7%	5-19
More than 2 minimum wages	55	11.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	70	14.9%	20-49
Ages 25–39, female	70	14.9%	20-49
Ages 40–59, female	65	13.8%	20-49
Ages 25–39, male	55	11.7%	5-19
Ages 60 and over, male	40	8.5%	5-19
Ages 15–24, male	40	8.5%	5-19
Ages 40–59, male	40	8.5%	5-19
Ages 5–14, male	35	7.4%	5-19
Ages 5–14, female	35	7.4%	5-19
Ages 60 and over, female	20	4.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	210	58.3%	20-49
First move from municipality of birth	95	26.4%	5-19
Return to municipality of birth	55	15.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	31.7%	5-19
Completed higher education	65	31.7%	5-19
Completed high school, incomplete higher education	45	22.0%	5-19
Completed elementary, incomplete high school	30	14.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	125	35.2%	20-49
1 to 2 minimum wages	70	19.7%	5-19
More than 2 minimum wages	60	16.9%	5-19
Up to ¼ of a minimum wage	60	16.9%	5-19
¼ to ½ minimum wage	40	11.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	85	23.9%	5-19
Ages 25–39, female	60	16.9%	5-19
Ages 40–59, female	60	16.9%	5-19
Ages 15–24, female	55	15.5%	5-19
Ages 15–24, male	35	9.9%	5-19
Ages 5–14, male	30	8.5%	5-19
Ages 40–59, male	30	8.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,745	57.5%	>=500
Completed high school, incomplete higher education	690	22.7%	100-499
Completed higher education	305	10.0%	50-99
Completed elementary, incomplete high school	295	9.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,790	41.3%	>=500
1 to 2 minimum wages	900	20.8%	100-499
¼ to ½ minimum wage	840	19.4%	100-499
More than 2 minimum wages	410	9.5%	100-499
Up to ¼ of a minimum wage	390	9.0%	100-499
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	660	16.2%	100-499
Ages 40–59, female	605	14.8%	100-499
Ages 60 and over, female	505	12.4%	100-499
Ages 60 and over, male	475	11.6%	100-499
Ages 25–39, male	425	10.4%	100-499
Ages 25–39, female	370	9.1%	100-499
Ages 15–24, male	325	8.0%	100-499
Ages 5–14, female	250	6.1%	50-99
Ages 15–24, female	240	5.9%	50-99
Ages 5–14, male	230	5.6%	50-99

Commuting (work and study)

Commuting indicators for São Francisco do Glória/MG
Employed persons (aged 10 and over)	2,235
Commute out to work in another municipality	210
Commute in from another municipality to work here	105
Net commuting	−105
Out-commuting rate (%)	9.37
Commuting attraction index	0.946
Median commuting time	40 min

Open São Francisco do Glória/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]: São Francisco do Glória/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-francisco-do-gloria-mg-3161403/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.