Migration in São Francisco/SP (2017–2022)

São Francisco/SP had a reference population (aged 5 or over in 2022) of 2,485 people. In the 2017–2022 five-year period, the municipality received 245 in-migrants and lost 485 out-migrants to other municipalities in Brazil, resulting in a net migration of −245 people (−97.61 per 1,000 population) and a migration effectiveness index (IEM) of −0.333. This classifies the municipality, for the period, as one of migratory depletion. In addition, 25 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Francisco/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	245	169 to 321	use with caution
Out-migrants	485	337 to 633	use with caution
Net migration	−245	−411 to −79	not classified
Net migration rate, TLM (per 1,000 pop.)	−97.61	-	-
Migration effectiveness index (IEM)	−0.333	-	-

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/SP
Origin	People	Precision
Jales/SP · view pair in the atlas	35	low precision
Santa Bárbara d'Oeste/SP · view pair in the atlas	20	low precision
Palmeira d'Oeste/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Francisco/SP
Destination	People	Precision
Jales/SP · view pair in the atlas	65	low precision
Palmeira d'Oeste/SP · view pair in the atlas	50	low precision
Marinópolis/SP · 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	150	61.2%	50-99
First move from municipality of birth	60	24.5%	20-49
Return to municipality of birth	35	14.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	36.1%	20-49
Completed high school, incomplete higher education	60	33.3%	20-49
Completed higher education	30	16.7%	5-19
Completed elementary, incomplete high school	25	13.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	75	31.9%	20-49
1 to 2 minimum wages	60	25.5%	5-19
More than 2 minimum wages	40	17.0%	5-19
¼ to ½ minimum wage	35	14.9%	5-19
Up to ¼ of a minimum wage	25	10.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	45	18.8%	5-19
Ages 40–59, male	40	16.7%	5-19
Ages 40–59, female	35	14.6%	5-19
Ages 25–39, male	30	12.5%	5-19
Ages 5–14, female	20	8.3%	5-19
Ages 60 and over, male	15	6.2%	5-19
Ages 5–14, male	15	6.2%	5-19
Ages 15–24, female	15	6.2%	5-19
Ages 60 and over, female	15	6.2%	5-19
Other / suppressed	10	4.2%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	235	48.0%	20-49
Return to municipality of birth	165	33.7%	20-49
First move from municipality of birth	75	15.3%	5-19
Other / suppressed	15	3.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	140	47.5%	5-19
No schooling or incomplete elementary	75	25.4%	5-19
Completed higher education	50	16.9%	5-19
Other / suppressed	30	10.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	245	50.5%	20-49
1 to 2 minimum wages	105	21.6%	5-19
¼ to ½ minimum wage	70	14.4%	5-19
Other / suppressed	65	13.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	17.5%	5-19
Ages 15–24, female	75	15.5%	5-19
Ages 25–39, male	75	15.5%	5-19
Ages 15–24, male	70	14.4%	5-19
Ages 40–59, female	55	11.3%	5-19
Ages 40–59, male	40	8.2%	5-19
Ages 5–14, male	35	7.2%	5-19
Ages 60 and over, male	30	6.2%	5-19
Other / suppressed	20	4.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	890	51.7%	100-499
Completed high school, incomplete higher education	420	24.4%	100-499
Completed higher education	230	13.4%	50-99
Completed elementary, incomplete high school	180	10.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	825	35.3%	100-499
1 to 2 minimum wages	795	34.0%	100-499
More than 2 minimum wages	340	14.6%	100-499
¼ to ½ minimum wage	275	11.8%	50-99
Up to ¼ of a minimum wage	100	4.3%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	365	16.5%	100-499
Ages 60 and over, female	350	15.8%	100-499
Ages 60 and over, male	320	14.4%	100-499
Ages 40–59, male	310	14.0%	100-499
Ages 25–39, male	220	9.9%	50-99
Ages 25–39, female	155	7.0%	50-99
Ages 15–24, female	140	6.3%	50-99
Ages 15–24, male	130	5.9%	20-49
Ages 5–14, female	120	5.4%	20-49
Ages 5–14, male	105	4.7%	20-49

Commuting (work and study)

Commuting indicators for São Francisco/SP
Employed persons (aged 10 and over)	1,270
Commute out to work in another municipality	340
Commute in from another municipality to work here	210
Net commuting	−130
Out-commuting rate (%)	26.92
Commuting attraction index	0.851
Median commuting time	30 min

Open São Francisco/SP 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/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-francisco-sp-3549003/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.