Migration in Mauá/SP (2017–2022)

Mauá/SP had a reference population (aged 5 or over in 2022) of 393,725 people. In the 2017–2022 five-year period, the municipality received 18,350 in-migrants and lost 24,770 out-migrants to other municipalities in Brazil, resulting in a net migration of −6,420 people (−16.31 per 1,000 population) and a migration effectiveness index (IEM) of −0.149. This classifies the municipality, for the period, as one of migratory depletion. In addition, 345 arrived with an unreported origin and 570 came from abroad.

Indicators

Migration indicators for Mauá/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	18,350	17,059 to 19,641	good
Out-migrants	24,770	22,916 to 26,624	good
Net migration	−6,420	−8,679 to −4,161	not classified
Net migration rate, TLM (per 1,000 pop.)	−16.31	-	-
Migration effectiveness index (IEM)	−0.149	-	-

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 Mauá/SP
Origin	People	Precision
Santo André/SP · view pair in the atlas	4,585	good
São Paulo/SP · view pair in the atlas	3,870	good
Ribeirão Pires/SP · view pair in the atlas	1,670	good
São Bernardo do Campo/SP · view pair in the atlas	695	use with caution
Diadema/SP · view pair in the atlas	410	use with caution
Rio Grande da Serra/SP · view pair in the atlas	400	use with caution
São Caetano do Sul/SP · view pair in the atlas	365	use with caution
Suzano/SP · view pair in the atlas	265	low precision
Guarulhos/SP · view pair in the atlas	195	low precision
Carapicuíba/SP · view pair in the atlas	120	low precision

Top 10 destinations of out-migrants from Mauá/SP
Destination	People	Precision
Santo André/SP · view pair in the atlas	5,510	good
São Paulo/SP · view pair in the atlas	1,690	use with caution
Ribeirão Pires/SP · view pair in the atlas	1,565	good
São Bernardo do Campo/SP · view pair in the atlas	1,120	use with caution
São Caetano do Sul/SP · view pair in the atlas	545	use with caution
Praia Grande/SP · view pair in the atlas	505	use with caution
Rio Grande da Serra/SP · view pair in the atlas	300	use with caution
Suzano/SP · view pair in the atlas	290	use with caution
Sorocaba/SP · view pair in the atlas	255	low precision
Diadema/SP · view pair in the atlas	225	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	8,640	47.1%	>=500
First move from municipality of birth	8,430	45.9%	>=500
Return to municipality of birth	1,185	6.5%	100-499
Born abroad, internal migrant	100	0.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	5,605	44.3%	>=500
Completed higher education	3,345	26.5%	100-499
No schooling or incomplete elementary	2,075	16.4%	100-499
Completed elementary, incomplete high school	1,620	12.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	5,695	31.0%	>=500
½ to 1 minimum wage	4,665	25.4%	100-499
More than 2 minimum wages	4,285	23.4%	100-499
¼ to ½ minimum wage	2,435	13.3%	100-499
Up to ¼ of a minimum wage	1,010	5.5%	50-99
Not applicable (collective dwelling)	260	1.4%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	3,775	20.6%	100-499
Ages 25–39, male	3,515	19.2%	100-499
Ages 40–59, male	2,225	12.1%	100-499
Ages 40–59, female	2,005	10.9%	100-499
Ages 15–24, female	1,535	8.4%	100-499
Ages 15–24, male	1,530	8.3%	100-499
Ages 5–14, female	1,425	7.8%	100-499
Ages 5–14, male	1,215	6.6%	100-499
Ages 60 and over, female	695	3.8%	50-99
Ages 60 and over, male	435	2.4%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	12,075	48.7%	>=500
First move from municipality of birth	8,920	36.0%	>=500
Return to municipality of birth	3,770	15.2%	100-499
Other / suppressed	10	0.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	6,715	39.2%	>=500
Completed higher education	5,040	29.4%	100-499
No schooling or incomplete elementary	3,235	18.9%	100-499
Completed elementary, incomplete high school	2,130	12.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	6,625	26.7%	100-499
1 to 2 minimum wages	6,485	26.2%	>=500
½ to 1 minimum wage	6,140	24.8%	>=500
¼ to ½ minimum wage	2,825	11.4%	100-499
Up to ¼ of a minimum wage	2,075	8.4%	100-499
Not applicable (collective dwelling)	620	2.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	4,645	18.7%	100-499
Ages 25–39, male	3,950	15.9%	100-499
Ages 40–59, female	3,170	12.8%	100-499
Ages 40–59, male	2,780	11.2%	100-499
Ages 5–14, male	2,135	8.6%	100-499
Ages 5–14, female	2,030	8.2%	100-499
Ages 15–24, female	1,755	7.1%	100-499
Ages 15–24, male	1,730	7.0%	100-499
Ages 60 and over, female	1,310	5.3%	100-499
Ages 60 and over, male	1,270	5.1%	100-499

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	115,060	43.0%	>=500
No schooling or incomplete elementary	70,550	26.4%	>=500
Completed higher education	41,130	15.4%	>=500
Completed elementary, incomplete high school	40,885	15.3%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	127,395	31.9%	>=500
½ to 1 minimum wage	121,810	30.5%	>=500
¼ to ½ minimum wage	58,810	14.7%	>=500
More than 2 minimum wages	58,415	14.6%	>=500
Up to ¼ of a minimum wage	32,090	8.0%	>=500
Not applicable (collective dwelling)	480	0.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	59,640	15.9%	>=500
Ages 40–59, male	52,695	14.1%	>=500
Ages 25–39, female	48,660	13.0%	>=500
Ages 25–39, male	46,410	12.4%	>=500
Ages 60 and over, female	34,140	9.1%	>=500
Ages 15–24, male	29,075	7.8%	>=500
Ages 15–24, female	28,100	7.5%	>=500
Ages 60 and over, male	26,090	7.0%	>=500
Ages 5–14, male	25,230	6.7%	>=500
Ages 5–14, female	24,430	6.5%	>=500

Commuting (work and study)

Commuting indicators for Mauá/SP
Employed persons (aged 10 and over)	199,220
Commute out to work in another municipality	71,880
Commute in from another municipality to work here	20,540
Net commuting	−51,340
Out-commuting rate (%)	36.08
Commuting attraction index	0.688
Median commuting time	60 min

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

Open Mauá/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]: Mauá/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/maua-sp-3529401/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.