Migration in São Francisco de Sales/MG (2017–2022)

São Francisco de Sales/MG had a reference population (aged 5 or over in 2022) of 5,430 people. In the 2017–2022 five-year period, the municipality received 635 in-migrants and lost 390 out-migrants to other municipalities in Brazil, resulting in a net migration of +245 people (44.71 per 1,000 population) and a migration effectiveness index (IEM) of 0.237. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for São Francisco de Sales/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	635	493 to 777	good
Out-migrants	390	259 to 521	use with caution
Net migration	+245	52 to 438	not classified
Net migration rate, TLM (per 1,000 pop.)	44.71	-	-
Migration effectiveness index (IEM)	0.237	-	-

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 de Sales/MG
Origin	People	Precision
Iturama/MG · view pair in the atlas	105	use with caution
Campina Verde/MG · view pair in the atlas	55	low precision
São Paulo/SP · view pair in the atlas	35	low precision
Frutal/MG · view pair in the atlas	30	low precision
Itapagipe/MG · view pair in the atlas	20	low precision
Uberaba/MG · view pair in the atlas	15	low precision
Prata/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Francisco de Sales/MG
Destination	People	Precision
Itapagipe/MG · view pair in the atlas	80	low precision
Frutal/MG · view pair in the atlas	60	low precision
Campina Verde/MG · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	325	51.2%	100-499
Multi-step migration	275	43.3%	50-99
Return to municipality of birth	35	5.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	155	40.8%	50-99
Completed high school, incomplete higher education	115	30.3%	20-49
Completed elementary, incomplete high school	70	18.4%	20-49
Completed higher education	40	10.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	210	33.1%	50-99
¼ to ½ minimum wage	195	30.7%	50-99
1 to 2 minimum wages	145	22.8%	20-49
More than 2 minimum wages	45	7.1%	5-19
Up to ¼ of a minimum wage	40	6.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	90	14.1%	20-49
Ages 25–39, male	90	14.1%	20-49
Ages 25–39, female	85	13.3%	20-49
Ages 5–14, female	80	12.5%	20-49
Ages 15–24, male	70	10.9%	20-49
Ages 40–59, male	60	9.4%	20-49
Ages 5–14, male	55	8.6%	5-19
Ages 15–24, female	50	7.8%	5-19
Ages 60 and over, male	30	4.7%	5-19
Ages 60 and over, female	30	4.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	235	60.3%	20-49
First move from municipality of birth	95	24.4%	5-19
Return to municipality of birth	60	15.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	150	55.6%	20-49
Completed high school, incomplete higher education	80	29.6%	5-19
Completed elementary, incomplete high school	20	7.4%	5-19
Other / suppressed	20	7.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	125	32.1%	5-19
1 to 2 minimum wages	100	25.6%	20-49
¼ to ½ minimum wage	85	21.8%	5-19
More than 2 minimum wages	40	10.3%	5-19
Up to ¼ of a minimum wage	35	9.0%	5-19
Other / suppressed	5	1.3%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	100	25.6%	5-19
Ages 25–39, female	60	15.4%	5-19
Ages 15–24, male	55	14.1%	5-19
Ages 40–59, female	55	14.1%	5-19
Ages 25–39, male	45	11.5%	5-19
Ages 40–59, male	40	10.3%	5-19
Ages 60 and over, male	35	9.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,815	51.2%	>=500
Completed high school, incomplete higher education	750	21.2%	100-499
Completed elementary, incomplete high school	560	15.8%	100-499
Completed higher education	420	11.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,095	41.1%	>=500
1 to 2 minimum wages	1,265	24.8%	100-499
¼ to ½ minimum wage	1,030	20.2%	100-499
More than 2 minimum wages	495	9.7%	100-499
Up to ¼ of a minimum wage	215	4.2%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	810	16.9%	100-499
Ages 40–59, female	755	15.7%	100-499
Ages 25–39, male	540	11.3%	100-499
Ages 25–39, female	530	11.1%	100-499
Ages 60 and over, male	480	10.0%	100-499
Ages 60 and over, female	435	9.1%	100-499
Ages 5–14, male	340	7.1%	100-499
Ages 5–14, female	315	6.6%	100-499
Ages 15–24, male	300	6.3%	50-99
Ages 15–24, female	290	6.0%	50-99

Commuting (work and study)

Commuting indicators for São Francisco de Sales/MG
Employed persons (aged 10 and over)	2,650
Commute out to work in another municipality	265
Commute in from another municipality to work here	125
Net commuting	−140
Out-commuting rate (%)	9.97
Commuting attraction index	0.941
Median commuting time	30 min

Open São Francisco de Sales/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 de Sales/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-de-sales-mg-3161304/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.