Migration in Santa Fé do Sul/SP (2017–2022)

Santa Fé do Sul/SP had a reference population (aged 5 or over in 2022) of 32,825 people. In the 2017–2022 five-year period, the municipality received 5,960 in-migrants and lost 3,215 out-migrants to other municipalities in Brazil, resulting in a net migration of +2,745 people (83.59 per 1,000 population) and a migration effectiveness index (IEM) of 0.299. This classifies the municipality, for the period, as one of migratory attraction. In addition, 270 arrived with an unreported origin and 40 came from abroad.

Indicators

Migration indicators for Santa Fé do Sul/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	5,960	5,115 to 6,805	good
Out-migrants	3,215	2,727 to 3,703	good
Net migration	+2,745	1,769 to 3,721	not classified
Net migration rate, TLM (per 1,000 pop.)	83.59	-	-
Migration effectiveness index (IEM)	0.299	-	-

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Santa Fé do Sul/SP
Origin	People	Precision
São Paulo/SP · view pair in the atlas	490	use with caution
Campinas/SP · view pair in the atlas	320	low precision
Aparecida do Taboado/MS · view pair in the atlas	315	low precision
Jales/SP · view pair in the atlas	215	low precision
Nova Canaã Paulista/SP · view pair in the atlas	210	low precision
Campo Grande/MS · view pair in the atlas	210	low precision
Três Fronteiras/SP · view pair in the atlas	175	use with caution
Maceió/AL · view pair in the atlas	165	low precision
São José do Rio Preto/SP · view pair in the atlas	140	low precision
Rubinéia/SP · view pair in the atlas	105	low precision

Top 10 destinations of out-migrants from Santa Fé do Sul/SP
Destination	People	Precision
Três Fronteiras/SP · view pair in the atlas	260	use with caution
São José do Rio Preto/SP · view pair in the atlas	195	use with caution
Jales/SP · view pair in the atlas	180	low precision
Rubinéia/SP · view pair in the atlas	170	use with caution
Paranaíba/MS · view pair in the atlas	145	low precision
Aparecida do Taboado/MS · view pair in the atlas	140	low precision
Ilha Solteira/SP · view pair in the atlas	95	low precision
Três Lagoas/MS · view pair in the atlas	90	low precision
Santa Clara d'Oeste/SP · view pair in the atlas	85	use with caution
Fernandópolis/SP · view pair in the atlas	60	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	3,140	52.7%	100-499
First move from municipality of birth	2,010	33.7%	100-499
Return to municipality of birth	795	13.3%	50-99
Other / suppressed	15	0.3%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,320	33.8%	100-499
Completed higher education	1,255	32.1%	100-499
No schooling or incomplete elementary	825	21.1%	50-99
Completed elementary, incomplete high school	505	12.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,985	33.3%	100-499
½ to 1 minimum wage	1,495	25.1%	100-499
More than 2 minimum wages	1,305	21.9%	100-499
¼ to ½ minimum wage	760	12.8%	50-99
Up to ¼ of a minimum wage	350	5.9%	20-49
Not applicable (collective dwelling)	65	1.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	955	16.0%	50-99
Ages 25–39, male	855	14.3%	50-99
Ages 40–59, female	845	14.2%	50-99
Ages 40–59, male	680	11.4%	50-99
Ages 15–24, female	565	9.5%	50-99
Ages 15–24, male	560	9.4%	50-99
Ages 5–14, male	475	8.0%	20-49
Ages 5–14, female	455	7.6%	20-49
Ages 60 and over, male	325	5.5%	20-49
Ages 60 and over, female	245	4.1%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	1,745	54.3%	100-499
First move from municipality of birth	1,045	32.5%	100-499
Return to municipality of birth	410	12.8%	50-99
Other / suppressed	15	0.5%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	760	34.5%	100-499
Completed higher education	730	33.1%	100-499
No schooling or incomplete elementary	370	16.8%	50-99
Completed elementary, incomplete high school	345	15.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,110	34.5%	100-499
More than 2 minimum wages	885	27.5%	100-499
½ to 1 minimum wage	805	25.0%	100-499
¼ to ½ minimum wage	280	8.7%	50-99
Not applicable (collective dwelling)	95	3.0%	5-19
Up to ¼ of a minimum wage	45	1.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	640	19.9%	100-499
Ages 25–39, female	575	17.9%	50-99
Ages 40–59, female	345	10.7%	50-99
Ages 40–59, male	330	10.3%	50-99
Ages 15–24, female	325	10.1%	50-99
Ages 15–24, male	260	8.1%	20-49
Ages 5–14, male	215	6.7%	20-49
Ages 5–14, female	210	6.5%	20-49
Ages 60 and over, male	160	5.0%	20-49
Ages 60 and over, female	155	4.8%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,735	32.9%	>=500
Completed high school, incomplete higher education	6,310	30.8%	>=500
Completed higher education	5,100	24.9%	100-499
Completed elementary, incomplete high school	2,320	11.3%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	10,510	36.8%	>=500
½ to 1 minimum wage	8,090	28.4%	>=500
More than 2 minimum wages	6,315	22.1%	>=500
¼ to ½ minimum wage	2,565	9.0%	100-499
Up to ¼ of a minimum wage	995	3.5%	100-499
Not applicable (collective dwelling)	55	0.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	4,360	16.4%	100-499
Ages 40–59, male	3,910	14.7%	100-499
Ages 60 and over, female	3,730	14.0%	100-499
Ages 60 and over, male	2,900	10.9%	100-499
Ages 25–39, female	2,810	10.6%	100-499
Ages 25–39, male	2,760	10.4%	100-499
Ages 15–24, male	1,625	6.1%	100-499
Ages 15–24, female	1,505	5.7%	100-499
Ages 5–14, female	1,485	5.6%	100-499
Ages 5–14, male	1,475	5.6%	100-499

Commuting (work and study)

Commuting indicators for Santa Fé do Sul/SP
Employed persons (aged 10 and over)	16,980
Commute out to work in another municipality	1,800
Commute in from another municipality to work here	2,660
Net commuting	+855
Out-commuting rate (%)	10.61
Commuting attraction index	1.028
Median commuting time	30 min

Open Santa Fé do Sul/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]: Santa Fé do Sul/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-fe-do-sul-sp-3546603/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.