Migration in São Caetano do Sul/SP (2017–2022)

São Caetano do Sul/SP had a reference population (aged 5 or over in 2022) of 158,220 people. In the 2017–2022 five-year period, the municipality received 22,125 in-migrants and lost 15,110 out-migrants to other municipalities in Brazil, resulting in a net migration of +7,015 people (44.32 per 1,000 population) and a migration effectiveness index (IEM) of 0.188. This classifies the municipality, for the period, as one of migratory attraction. In addition, 115 arrived with an unreported origin and 435 came from abroad.

Indicators

Migration indicators for São Caetano do Sul/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	22,125	20,660 to 23,590	good
Out-migrants	15,110	13,651 to 16,569	good
Net migration	+7,015	4,948 to 9,082	not classified
Net migration rate, TLM (per 1,000 pop.)	44.32	-	-
Migration effectiveness index (IEM)	0.188	-	-

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 São Caetano do Sul/SP
Origin	People	Precision
São Paulo/SP · view pair in the atlas	10,955	good
Santo André/SP · view pair in the atlas	3,125	good
São Bernardo do Campo/SP · view pair in the atlas	1,740	good
Rio de Janeiro/RJ · view pair in the atlas	570	use with caution
Mauá/SP · view pair in the atlas	545	use with caution
Diadema/SP · view pair in the atlas	490	use with caution
Santos/SP · view pair in the atlas	245	low precision
Brasília/DF · view pair in the atlas	140	low precision
Curitiba/PR · view pair in the atlas	140	low precision
Fortaleza/CE · view pair in the atlas	125	low precision

Top 10 destinations of out-migrants from São Caetano do Sul/SP
Destination	People	Precision
Santo André/SP · view pair in the atlas	3,915	good
São Paulo/SP · view pair in the atlas	2,235	good
São Bernardo do Campo/SP · view pair in the atlas	970	use with caution
Mauá/SP · view pair in the atlas	365	use with caution
Sorocaba/SP · view pair in the atlas	245	low precision
Praia Grande/SP · view pair in the atlas	230	low precision
Atibaia/SP · view pair in the atlas	225	low precision
Indaiatuba/SP · view pair in the atlas	225	low precision
Campinas/SP · view pair in the atlas	215	low precision
Rio de Janeiro/RJ · view pair in the atlas	205	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	10,830	48.9%	>=500
Multi-step migration	8,760	39.6%	>=500
Return to municipality of birth	2,385	10.8%	100-499
Born abroad, internal migrant	150	0.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	9,770	61.1%	>=500
Completed high school, incomplete higher education	4,290	26.8%	100-499
No schooling or incomplete elementary	1,095	6.8%	100-499
Completed elementary, incomplete high school	840	5.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	13,455	60.8%	>=500
1 to 2 minimum wages	4,920	22.2%	100-499
½ to 1 minimum wage	2,295	10.4%	100-499
¼ to ½ minimum wage	820	3.7%	50-99
Up to ¼ of a minimum wage	495	2.2%	20-49
Not applicable (collective dwelling)	140	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	4,270	19.3%	100-499
Ages 25–39, male	3,600	16.3%	100-499
Ages 40–59, female	2,985	13.5%	100-499
Ages 40–59, male	2,830	12.8%	100-499
Ages 5–14, male	1,790	8.1%	100-499
Ages 5–14, female	1,740	7.9%	100-499
Ages 60 and over, female	1,505	6.8%	100-499
Ages 15–24, female	1,465	6.6%	100-499
Ages 15–24, male	1,135	5.1%	100-499
Ages 60 and over, male	805	3.6%	50-99

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	6,870	45.5%	>=500
First move from municipality of birth	5,940	39.3%	100-499
Return to municipality of birth	2,265	15.0%	100-499
Other / suppressed	35	0.2%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	5,885	51.6%	100-499
Completed high school, incomplete higher education	3,655	32.1%	100-499
No schooling or incomplete elementary	1,095	9.6%	100-499
Completed elementary, incomplete high school	760	6.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	7,650	50.6%	100-499
1 to 2 minimum wages	3,340	22.1%	100-499
½ to 1 minimum wage	2,330	15.4%	100-499
¼ to ½ minimum wage	910	6.0%	50-99
Up to ¼ of a minimum wage	785	5.2%	50-99
Not applicable (collective dwelling)	95	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,835	18.8%	100-499
Ages 25–39, male	2,390	15.8%	100-499
Ages 40–59, female	2,300	15.2%	100-499
Ages 40–59, male	2,215	14.7%	100-499
Ages 15–24, male	1,115	7.4%	50-99
Ages 60 and over, female	1,025	6.8%	50-99
Ages 5–14, female	930	6.2%	50-99
Ages 5–14, male	860	5.7%	50-99
Ages 15–24, female	805	5.3%	50-99
Ages 60 and over, male	635	4.2%	50-99

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	49,005	46.2%	>=500
Completed high school, incomplete higher education	30,910	29.2%	>=500
No schooling or incomplete elementary	17,130	16.2%	>=500
Completed elementary, incomplete high school	8,980	8.5%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	73,720	51.6%	>=500
1 to 2 minimum wages	38,220	26.7%	>=500
½ to 1 minimum wage	19,525	13.7%	>=500
¼ to ½ minimum wage	6,455	4.5%	>=500
Up to ¼ of a minimum wage	4,580	3.2%	100-499
Not applicable (collective dwelling)	485	0.3%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	23,605	17.4%	>=500
Ages 60 and over, female	23,025	17.0%	>=500
Ages 40–59, male	19,930	14.7%	>=500
Ages 60 and over, male	14,940	11.0%	>=500
Ages 25–39, female	12,915	9.5%	>=500
Ages 25–39, male	11,610	8.6%	>=500
Ages 15–24, male	7,795	5.8%	>=500
Ages 15–24, female	7,515	5.5%	>=500
Ages 5–14, male	7,300	5.4%	>=500
Ages 5–14, female	6,915	5.1%	>=500

Commuting (work and study)

Commuting indicators for São Caetano do Sul/SP
Employed persons (aged 10 and over)	84,650
Commute out to work in another municipality	33,780
Commute in from another municipality to work here	45,415
Net commuting	+11,630
Out-commuting rate (%)	39.91
Commuting attraction index	1.081
Median commuting time	50 min

This municipality is part of Região Metropolitana de São Paulo → see the metropolitan region page

Open São Caetano 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]: São Caetano 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/sao-caetano-do-sul-sp-3548807/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.