Migration in Franco da Rocha/SP (2017–2022)

Franco da Rocha/SP had a reference population (aged 5 or over in 2022) of 135,655 people. In the 2017–2022 five-year period, the municipality received 7,620 in-migrants and lost 7,315 out-migrants to other municipalities in Brazil, resulting in a net migration of +310 people (2.27 per 1,000 population) and a migration effectiveness index (IEM) of 0.021. This classifies the municipality, for the period, as one of migratory attraction. In addition, 200 arrived with an unreported origin and 120 came from abroad.

Indicators

Migration indicators for Franco da Rocha/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	7,620	6,799 to 8,441	good
Out-migrants	7,315	6,472 to 8,158	good
Net migration	+310	−867 to 1,487	not classified
Net migration rate, TLM (per 1,000 pop.)	2.27	-	-
Migration effectiveness index (IEM)	0.021	-	-

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 Franco da Rocha/SP
Origin	People	Precision
São Paulo/SP · view pair in the atlas	2,850	good
Francisco Morato/SP · view pair in the atlas	990	use with caution
Caieiras/SP · view pair in the atlas	695	use with caution
Osasco/SP · view pair in the atlas	200	low precision
Maceió/AL · view pair in the atlas	160	low precision
Campinas/SP · view pair in the atlas	135	low precision
Itapevi/SP · view pair in the atlas	90	low precision
Guarulhos/SP · view pair in the atlas	85	low precision
Jundiaí/SP · view pair in the atlas	80	low precision
Cajamar/SP · view pair in the atlas	80	low precision

Top 10 destinations of out-migrants from Franco da Rocha/SP
Destination	People	Precision
São Paulo/SP · view pair in the atlas	725	use with caution
Caieiras/SP · view pair in the atlas	680	use with caution
Francisco Morato/SP · view pair in the atlas	655	use with caution
Jundiaí/SP · view pair in the atlas	470	use with caution
Mairiporã/SP · view pair in the atlas	220	low precision
Atibaia/SP · view pair in the atlas	140	low precision
Campo Limpo Paulista/SP · view pair in the atlas	125	low precision
Osasco/SP · view pair in the atlas	115	low precision
Pacaembu/SP · view pair in the atlas	100	use with caution
Biritiba Mirim/SP · view pair in the atlas	85	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	3,940	51.7%	100-499
Multi-step migration	3,175	41.7%	100-499
Return to municipality of birth	445	5.8%	20-49
Other / suppressed	60	0.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	2,355	48.1%	100-499
No schooling or incomplete elementary	1,065	21.7%	100-499
Completed elementary, incomplete high school	865	17.7%	50-99
Completed higher education	615	12.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	2,205	28.9%	100-499
½ to 1 minimum wage	2,095	27.5%	100-499
More than 2 minimum wages	1,035	13.6%	100-499
¼ to ½ minimum wage	1,015	13.3%	100-499
Up to ¼ of a minimum wage	650	8.5%	50-99
Not applicable (collective dwelling)	620	8.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,480	19.4%	100-499
Ages 25–39, female	1,190	15.6%	100-499
Ages 40–59, male	1,015	13.3%	100-499
Ages 40–59, female	830	10.9%	50-99
Ages 15–24, female	785	10.3%	50-99
Ages 15–24, male	725	9.5%	50-99
Ages 5–14, male	685	9.0%	50-99
Ages 5–14, female	530	7.0%	50-99
Ages 60 and over, male	210	2.8%	20-49
Ages 60 and over, female	175	2.3%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	4,250	58.1%	100-499
First move from municipality of birth	1,940	26.5%	100-499
Return to municipality of birth	1,075	14.7%	100-499
Other / suppressed	50	0.7%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,935	37.2%	100-499
No schooling or incomplete elementary	1,330	25.6%	100-499
Completed higher education	1,095	21.0%	50-99
Completed elementary, incomplete high school	845	16.2%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,820	24.9%	100-499
More than 2 minimum wages	1,600	21.9%	100-499
½ to 1 minimum wage	1,500	20.5%	100-499
¼ to ½ minimum wage	935	12.8%	100-499
Up to ¼ of a minimum wage	815	11.1%	50-99
Not applicable (collective dwelling)	645	8.8%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,390	19.0%	100-499
Ages 25–39, female	1,360	18.6%	100-499
Ages 40–59, male	875	12.0%	100-499
Ages 40–59, female	870	11.9%	50-99
Ages 5–14, female	580	7.9%	50-99
Ages 15–24, female	535	7.3%	20-49
Ages 15–24, male	510	7.0%	50-99
Ages 5–14, male	490	6.7%	50-99
Ages 60 and over, male	365	5.0%	20-49
Ages 60 and over, female	335	4.6%	20-49
Other / suppressed	0	0.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	37,310	42.3%	>=500
No schooling or incomplete elementary	26,675	30.2%	>=500
Completed elementary, incomplete high school	14,185	16.1%	>=500
Completed higher education	10,050	11.4%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	41,105	30.0%	>=500
1 to 2 minimum wages	39,085	28.5%	>=500
¼ to ½ minimum wage	22,440	16.4%	>=500
More than 2 minimum wages	17,300	12.6%	>=500
Up to ¼ of a minimum wage	13,050	9.5%	>=500
Not applicable (collective dwelling)	3,925	2.9%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	18,715	14.7%	>=500
Ages 40–59, male	18,030	14.1%	>=500
Ages 25–39, male	17,440	13.7%	>=500
Ages 25–39, female	16,010	12.5%	>=500
Ages 15–24, male	10,905	8.5%	>=500
Ages 60 and over, female	10,105	7.9%	>=500
Ages 15–24, female	9,625	7.5%	>=500
Ages 5–14, male	9,555	7.5%	>=500
Ages 5–14, female	9,320	7.3%	>=500
Ages 60 and over, male	7,750	6.1%	>=500
Other / suppressed	255	0.2%	5-19

Commuting (work and study)

Commuting indicators for Franco da Rocha/SP
Employed persons (aged 10 and over)	63,415
Commute out to work in another municipality	25,810
Commute in from another municipality to work here	7,110
Net commuting	−18,700
Out-commuting rate (%)	40.70
Commuting attraction index	0.653
Median commuting time	90 min

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

Open Franco da Rocha/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]: Franco da Rocha/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/franco-da-rocha-sp-3516408/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.