Migration in Praia Grande/SP (2017–2022)

Praia Grande/SP had a reference population (aged 5 or over in 2022) of 329,885 people. In the 2017–2022 five-year period, the municipality received 51,100 in-migrants and lost 17,280 out-migrants to other municipalities in Brazil, resulting in a net migration of +33,825 people (102.53 per 1,000 population) and a migration effectiveness index (IEM) of 0.495. This classifies the municipality, for the period, as one of migratory attraction. In addition, 640 arrived with an unreported origin and 675 came from abroad.

Indicators

Migration indicators for Praia Grande/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	51,100	48,867 to 53,333	good
Out-migrants	17,280	15,930 to 18,630	good
Net migration	+33,825	31,216 to 36,434	not classified
Net migration rate, TLM (per 1,000 pop.)	102.53	-	-
Migration effectiveness index (IEM)	0.495	-	-

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 Praia Grande/SP
Origin	People	Precision
São Paulo/SP · view pair in the atlas	17,905	good
São Vicente/SP · view pair in the atlas	8,045	good
Santos/SP · view pair in the atlas	3,525	good
Cubatão/SP · view pair in the atlas	1,760	good
São Bernardo do Campo/SP · view pair in the atlas	1,255	use with caution
Santo André/SP · view pair in the atlas	970	use with caution
Guarulhos/SP · view pair in the atlas	890	use with caution
Guarujá/SP · view pair in the atlas	860	use with caution
Mongaguá/SP · view pair in the atlas	685	use with caution
Osasco/SP · view pair in the atlas	635	use with caution

Top 10 destinations of out-migrants from Praia Grande/SP
Destination	People	Precision
Santos/SP · view pair in the atlas	1,855	good
São Paulo/SP · view pair in the atlas	1,625	use with caution
São Vicente/SP · view pair in the atlas	1,360	good
Mongaguá/SP · view pair in the atlas	725	use with caution
Itanhaém/SP · view pair in the atlas	480	use with caution
Cubatão/SP · view pair in the atlas	305	use with caution
Santo André/SP · view pair in the atlas	300	low precision
Guarulhos/SP · view pair in the atlas	295	low precision
São Bernardo do Campo/SP · view pair in the atlas	295	low precision
Peruíbe/SP · view pair in the atlas	265	use with caution

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	26,190	51.2%	>=500
Multi-step migration	23,860	46.7%	>=500
Return to municipality of birth	835	1.6%	50-99
Born abroad, internal migrant	220	0.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	16,185	43.2%	>=500
Completed higher education	10,820	28.9%	>=500
No schooling or incomplete elementary	5,750	15.3%	>=500
Completed elementary, incomplete high school	4,740	12.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	15,370	30.1%	>=500
1 to 2 minimum wages	14,335	28.1%	>=500
½ to 1 minimum wage	11,860	23.2%	>=500
¼ to ½ minimum wage	5,000	9.8%	100-499
Up to ¼ of a minimum wage	4,400	8.6%	100-499
Not applicable (collective dwelling)	140	0.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	7,505	14.7%	>=500
Ages 25–39, female	7,335	14.4%	>=500
Ages 60 and over, female	6,195	12.1%	>=500
Ages 40–59, male	6,090	11.9%	>=500
Ages 25–39, male	6,060	11.9%	>=500
Ages 60 and over, male	4,300	8.4%	100-499
Ages 5–14, male	3,940	7.7%	100-499
Ages 15–24, female	3,430	6.7%	100-499
Ages 5–14, female	3,325	6.5%	100-499
Ages 15–24, male	2,910	5.7%	100-499

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	10,815	62.6%	>=500
Return to municipality of birth	3,845	22.3%	100-499
First move from municipality of birth	2,475	14.3%	100-499
Born abroad, internal migrant	145	0.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	4,485	38.1%	100-499
Completed higher education	2,810	23.9%	100-499
No schooling or incomplete elementary	2,665	22.7%	100-499
Completed elementary, incomplete high school	1,800	15.3%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	4,750	27.5%	100-499
More than 2 minimum wages	4,555	26.4%	100-499
½ to 1 minimum wage	3,935	22.8%	100-499
¼ to ½ minimum wage	2,215	12.8%	100-499
Up to ¼ of a minimum wage	1,275	7.4%	100-499
Not applicable (collective dwelling)	550	3.2%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	2,375	13.7%	100-499
Ages 25–39, male	2,340	13.5%	100-499
Ages 25–39, female	2,140	12.4%	100-499
Ages 40–59, male	2,105	12.2%	100-499
Ages 60 and over, female	1,640	9.5%	100-499
Ages 15–24, female	1,595	9.2%	100-499
Ages 15–24, male	1,435	8.3%	100-499
Ages 5–14, female	1,305	7.6%	100-499
Ages 5–14, male	1,180	6.8%	100-499
Ages 60 and over, male	1,165	6.7%	100-499

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	80,010	40.6%	>=500
No schooling or incomplete elementary	50,755	25.8%	>=500
Completed higher education	33,700	17.1%	>=500
Completed elementary, incomplete high school	32,555	16.5%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	86,200	29.0%	>=500
½ to 1 minimum wage	84,230	28.3%	>=500
More than 2 minimum wages	53,820	18.1%	>=500
¼ to ½ minimum wage	42,665	14.3%	>=500
Up to ¼ of a minimum wage	29,535	9.9%	>=500
Not applicable (collective dwelling)	1,070	0.4%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	43,310	15.6%	>=500
Ages 40–59, male	38,260	13.8%	>=500
Ages 25–39, female	32,480	11.7%	>=500
Ages 60 and over, female	30,450	11.0%	>=500
Ages 25–39, male	30,200	10.9%	>=500
Ages 60 and over, male	22,315	8.0%	>=500
Ages 15–24, male	20,920	7.5%	>=500
Ages 5–14, male	20,080	7.2%	>=500
Ages 15–24, female	19,810	7.1%	>=500
Ages 5–14, female	19,645	7.1%	>=500

Commuting (work and study)

Commuting indicators for Praia Grande/SP
Employed persons (aged 10 and over)	151,185
Commute out to work in another municipality	30,675
Commute in from another municipality to work here	9,500
Net commuting	−21,175
Out-commuting rate (%)	20.29
Commuting attraction index	0.804
Median commuting time	60 min

This municipality is part of Região Metropolitana da Baixada Santista → see the metropolitan region page

Open Praia Grande/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]: Praia Grande/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/praia-grande-sp-3541000/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.