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

São Francisco de Paula/MG had a reference population (aged 5 or over in 2022) of 5,875 people. In the 2017–2022 five-year period, the municipality received 255 in-migrants and lost 360 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−17.85 per 1,000 population) and a migration effectiveness index (IEM) of −0.172. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Francisco de Paula/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	255	181 to 329	good
Out-migrants	360	203 to 517	use with caution
Net migration	−105	−278 to 68	not classified
Net migration rate, TLM (per 1,000 pop.)	−17.85	-	-
Migration effectiveness index (IEM)	−0.172	-	-

Sample of in-migrants: 50-99 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 Paula/MG
Origin	People	Precision
Oliveira/MG · view pair in the atlas	65	low precision
Candeias/MG · view pair in the atlas	30	low precision
Belo Horizonte/MG · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from São Francisco de Paula/MG
Destination	People	Precision
Divinópolis/MG · view pair in the atlas	70	low precision
Carmo da Mata/MG · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	145	56.9%	20-49
Multi-step migration	70	27.5%	20-49
Return to municipality of birth	40	15.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	80	42.1%	20-49
No schooling or incomplete elementary	55	28.9%	5-19
Completed higher education	40	21.1%	5-19
Other / suppressed	15	7.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	75	29.4%	20-49
1 to 2 minimum wages	65	25.5%	20-49
¼ to ½ minimum wage	60	23.5%	20-49
More than 2 minimum wages	35	13.7%	5-19
Up to ¼ of a minimum wage	20	7.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	60	24.0%	20-49
Ages 25–39, male	35	14.0%	5-19
Ages 40–59, female	30	12.0%	5-19
Ages 5–14, female	25	10.0%	5-19
Ages 60 and over, female	25	10.0%	5-19
Ages 60 and over, male	20	8.0%	5-19
Ages 5–14, male	20	8.0%	5-19
Ages 15–24, female	15	6.0%	5-19
Ages 40–59, male	15	6.0%	5-19
Other / suppressed	5	2.0%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	185	52.1%	20-49
First move from municipality of birth	150	42.3%	20-49
Return to municipality of birth	20	5.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	40.9%	5-19
Completed high school, incomplete higher education	65	29.5%	5-19
Completed elementary, incomplete high school	40	18.2%	5-19
Other / suppressed	25	11.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	140	38.9%	5-19
1 to 2 minimum wages	135	37.5%	5-19
¼ to ½ minimum wage	45	12.5%	5-19
Other / suppressed	40	11.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	65	18.3%	5-19
Ages 25–39, female	60	16.9%	5-19
Ages 25–39, male	50	14.1%	5-19
Other / suppressed	50	14.1%	5-19
Ages 60 and over, female	45	12.7%	5-19
Ages 40–59, female	35	9.9%	5-19
Ages 5–14, male	30	8.5%	5-19
Ages 40–59, male	20	5.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,385	56.4%	>=500
Completed high school, incomplete higher education	1,005	23.8%	100-499
Completed elementary, incomplete high school	475	11.2%	100-499
Completed higher education	365	8.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,785	46.9%	>=500
1 to 2 minimum wages	1,435	24.2%	100-499
¼ to ½ minimum wage	1,140	19.2%	100-499
Up to ¼ of a minimum wage	310	5.2%	50-99
More than 2 minimum wages	270	4.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	900	16.0%	100-499
Ages 40–59, male	865	15.4%	100-499
Ages 60 and over, male	640	11.4%	100-499
Ages 60 and over, female	630	11.2%	100-499
Ages 25–39, male	605	10.8%	100-499
Ages 25–39, female	590	10.5%	100-499
Ages 15–24, male	425	7.6%	100-499
Ages 15–24, female	350	6.2%	100-499
Ages 5–14, male	305	5.4%	100-499
Ages 5–14, female	305	5.4%	100-499

Commuting (work and study)

Commuting indicators for São Francisco de Paula/MG
Employed persons (aged 10 and over)	2,910
Commute out to work in another municipality	500
Commute in from another municipality to work here	135
Net commuting	−365
Out-commuting rate (%)	17.12
Commuting attraction index	0.865
Median commuting time	60 min

Open São Francisco de Paula/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 Paula/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-paula-mg-3161205/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.