Migration in Francisco Sá/MG (2017–2022)

Francisco Sá/MG had a reference population (aged 5 or over in 2022) of 22,145 people. In the 2017–2022 five-year period, the municipality received 1,490 in-migrants and lost 1,685 out-migrants to other municipalities in Brazil, resulting in a net migration of −195 people (−8.89 per 1,000 population) and a migration effectiveness index (IEM) of −0.062. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Francisco Sá/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,490	1,149 to 1,831	good
Out-migrants	1,685	1,309 to 2,061	good
Net migration	−195	−702 to 312	not classified
Net migration rate, TLM (per 1,000 pop.)	−8.89	-	-
Migration effectiveness index (IEM)	−0.062	-	-

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

Top origins and destinations

Top 10 origins of in-migrants to Francisco Sá/MG
Origin	People	Precision
Montes Claros/MG · view pair in the atlas	375	use with caution
Belo Horizonte/MG · view pair in the atlas	245	use with caution
Capitão Enéas/MG · view pair in the atlas	130	low precision
Grão Mogol/MG · view pair in the atlas	55	low precision

Top 10 destinations of out-migrants from Francisco Sá/MG
Destination	People	Precision
Montes Claros/MG · view pair in the atlas	730	use with caution
Capitão Enéas/MG · view pair in the atlas	90	low precision
Grão Mogol/MG · view pair in the atlas	60	low precision
Ilhabela/SP · view pair in the atlas	45	low precision
Nova Porteirinha/MG · view pair in the atlas	35	low precision
Indianópolis/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	640	43.0%	50-99
First move from municipality of birth	490	32.9%	20-49
Return to municipality of birth	360	24.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	540	48.4%	50-99
Completed high school, incomplete higher education	250	22.4%	20-49
Completed elementary, incomplete high school	195	17.5%	5-19
Completed higher education	130	11.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Not applicable (collective dwelling)	415	27.9%	20-49
¼ to ½ minimum wage	360	24.2%	20-49
½ to 1 minimum wage	270	18.1%	20-49
Up to ¼ of a minimum wage	165	11.1%	5-19
1 to 2 minimum wages	155	10.4%	5-19
More than 2 minimum wages	125	8.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	415	27.9%	20-49
Ages 40–59, male	250	16.8%	20-49
Ages 25–39, female	185	12.4%	5-19
Ages 15–24, female	120	8.1%	5-19
Ages 60 and over, female	110	7.4%	5-19
Ages 5–14, female	100	6.7%	5-19
Ages 40–59, female	85	5.7%	5-19
Ages 5–14, male	85	5.7%	5-19
Ages 15–24, male	70	4.7%	5-19
Ages 60 and over, male	70	4.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	1,100	65.1%	100-499
Multi-step migration	365	21.6%	20-49
Return to municipality of birth	225	13.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	350	34.5%	50-99
Completed high school, incomplete higher education	350	34.5%	20-49
Completed higher education	200	19.7%	5-19
Completed elementary, incomplete high school	115	11.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	510	30.3%	50-99
1 to 2 minimum wages	335	19.9%	20-49
¼ to ½ minimum wage	310	18.4%	20-49
More than 2 minimum wages	275	16.3%	20-49
Up to ¼ of a minimum wage	165	9.8%	20-49
Not applicable (collective dwelling)	90	5.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	350	20.8%	20-49
Ages 25–39, male	265	15.8%	20-49
Ages 15–24, male	255	15.2%	20-49
Ages 15–24, female	210	12.5%	20-49
Ages 40–59, female	135	8.0%	5-19
Ages 40–59, male	130	7.7%	20-49
Ages 5–14, female	120	7.1%	20-49
Ages 5–14, male	90	5.4%	5-19
Ages 60 and over, female	70	4.2%	5-19
Ages 60 and over, male	55	3.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	8,210	56.5%	>=500
Completed high school, incomplete higher education	3,515	24.2%	100-499
Completed elementary, incomplete high school	1,700	11.7%	100-499
Completed higher education	1,095	7.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	7,480	34.0%	>=500
¼ to ½ minimum wage	6,245	28.4%	>=500
Up to ¼ of a minimum wage	4,635	21.1%	100-499
1 to 2 minimum wages	2,735	12.4%	100-499
More than 2 minimum wages	770	3.5%	50-99
Not applicable (collective dwelling)	115	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	3,125	15.1%	100-499
Ages 40–59, female	2,925	14.2%	100-499
Ages 25–39, male	2,290	11.1%	100-499
Ages 25–39, female	2,235	10.8%	100-499
Ages 60 and over, female	2,090	10.1%	100-499
Ages 60 and over, male	1,860	9.0%	100-499
Ages 15–24, male	1,725	8.4%	100-499
Ages 15–24, female	1,490	7.2%	100-499
Ages 5–14, male	1,480	7.2%	100-499
Ages 5–14, female	1,425	6.9%	100-499

Commuting (work and study)

Commuting indicators for Francisco Sá/MG
Employed persons (aged 10 and over)	8,155
Commute out to work in another municipality	550
Commute in from another municipality to work here	475
Net commuting	−75
Out-commuting rate (%)	6.76
Commuting attraction index	0.970
Median commuting time	60 min

Open Francisco Sá/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]: Francisco Sá/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/francisco-sa-mg-3126703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.