Migration in Diadema/SP (2017–2022)

Diadema/SP had a reference population (aged 5 or over in 2022) of 371,640 people. In the 2017–2022 five-year period, the municipality received 21,700 in-migrants and lost 30,440 out-migrants to other municipalities in Brazil, resulting in a net migration of −8,740 people (−23.51 per 1,000 population) and a migration effectiveness index (IEM) of −0.168. This classifies the municipality, for the period, as one of migratory depletion. In addition, 335 arrived with an unreported origin and 555 came from abroad.

Indicators

Migration indicators for Diadema/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	21,700	20,209 to 23,191	good
Out-migrants	30,440	28,423 to 32,457	good
Net migration	−8,740	−11,248 to −6,232	not classified
Net migration rate, TLM (per 1,000 pop.)	−23.51	-	-
Migration effectiveness index (IEM)	−0.168	-	-

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 Diadema/SP
Origin	People	Precision
São Paulo/SP · view pair in the atlas	10,185	good
São Bernardo do Campo/SP · view pair in the atlas	3,155	good
Santo André/SP · view pair in the atlas	725	use with caution
Mauá/SP · view pair in the atlas	225	low precision
Guarulhos/SP · view pair in the atlas	150	low precision
Rio de Janeiro/RJ · view pair in the atlas	135	low precision
Fortaleza/CE · view pair in the atlas	125	low precision
Ribeirão Preto/SP · view pair in the atlas	105	low precision
Campinas/SP · view pair in the atlas	105	low precision
Mongaguá/SP · view pair in the atlas	105	low precision

Top 10 destinations of out-migrants from Diadema/SP
Destination	People	Precision
São Bernardo do Campo/SP · view pair in the atlas	6,840	good
São Paulo/SP · view pair in the atlas	2,785	good
Santo André/SP · view pair in the atlas	1,685	use with caution
Itanhaém/SP · view pair in the atlas	545	use with caution
Sorocaba/SP · view pair in the atlas	500	low precision
São Caetano do Sul/SP · view pair in the atlas	490	use with caution
Mauá/SP · view pair in the atlas	410	use with caution
Praia Grande/SP · view pair in the atlas	380	use with caution
Mongaguá/SP · view pair in the atlas	370	low precision
Salto/SP · view pair in the atlas	265	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	12,810	59.0%	>=500
Multi-step migration	7,550	34.8%	>=500
Return to municipality of birth	1,170	5.4%	100-499
Born abroad, internal migrant	170	0.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	6,145	42.7%	>=500
Completed higher education	4,750	33.0%	100-499
No schooling or incomplete elementary	2,085	14.5%	100-499
Completed elementary, incomplete high school	1,410	9.8%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	7,450	34.3%	>=500
More than 2 minimum wages	6,030	27.8%	>=500
½ to 1 minimum wage	4,830	22.3%	100-499
¼ to ½ minimum wage	2,215	10.2%	100-499
Up to ¼ of a minimum wage	1,005	4.6%	50-99
Not applicable (collective dwelling)	175	0.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	4,125	19.0%	100-499
Ages 25–39, male	3,855	17.8%	100-499
Ages 40–59, female	2,600	12.0%	100-499
Ages 40–59, male	2,420	11.2%	100-499
Ages 15–24, female	2,150	9.9%	100-499
Ages 15–24, male	1,930	8.9%	100-499
Ages 5–14, male	1,730	8.0%	100-499
Ages 5–14, female	1,500	6.9%	100-499
Ages 60 and over, female	940	4.3%	50-99
Ages 60 and over, male	450	2.1%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	15,390	50.6%	>=500
First move from municipality of birth	9,835	32.3%	>=500
Return to municipality of birth	5,120	16.8%	>=500
Born abroad, internal migrant	90	0.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	8,250	38.8%	>=500
Completed higher education	5,920	27.9%	100-499
No schooling or incomplete elementary	4,390	20.7%	>=500
Completed elementary, incomplete high school	2,680	12.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	7,830	25.7%	100-499
½ to 1 minimum wage	7,705	25.3%	>=500
1 to 2 minimum wages	7,190	23.6%	>=500
¼ to ½ minimum wage	4,340	14.3%	>=500
Up to ¼ of a minimum wage	2,635	8.7%	100-499
Not applicable (collective dwelling)	735	2.4%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	5,515	18.1%	100-499
Ages 25–39, male	5,380	17.7%	100-499
Ages 40–59, female	3,935	12.9%	100-499
Ages 40–59, male	3,710	12.2%	100-499
Ages 5–14, male	2,595	8.5%	100-499
Ages 5–14, female	2,465	8.1%	100-499
Ages 15–24, female	2,225	7.3%	100-499
Ages 15–24, male	1,915	6.3%	100-499
Ages 60 and over, female	1,470	4.8%	100-499
Ages 60 and over, male	1,230	4.0%	100-499

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	106,800	43.0%	>=500
No schooling or incomplete elementary	66,960	26.9%	>=500
Completed higher education	37,855	15.2%	>=500
Completed elementary, incomplete high school	36,910	14.9%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	116,805	31.5%	>=500
1 to 2 minimum wages	114,550	30.9%	>=500
More than 2 minimum wages	54,120	14.6%	>=500
¼ to ½ minimum wage	53,190	14.4%	>=500
Up to ¼ of a minimum wage	31,345	8.5%	>=500
Not applicable (collective dwelling)	630	0.2%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	57,015	16.3%	>=500
Ages 40–59, male	49,765	14.3%	>=500
Ages 25–39, female	45,010	12.9%	>=500
Ages 25–39, male	42,685	12.2%	>=500
Ages 60 and over, female	31,240	9.0%	>=500
Ages 15–24, male	27,310	7.8%	>=500
Ages 15–24, female	26,955	7.7%	>=500
Ages 5–14, male	23,190	6.6%	>=500
Ages 5–14, female	23,065	6.6%	>=500
Ages 60 and over, male	22,805	6.5%	>=500

Commuting (work and study)

Commuting indicators for Diadema/SP
Employed persons (aged 10 and over)	190,945
Commute out to work in another municipality	64,870
Commute in from another municipality to work here	30,670
Net commuting	−34,205
Out-commuting rate (%)	33.97
Commuting attraction index	0.771
Median commuting time	60 min

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

Open Diadema/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]: Diadema/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/diadema-sp-3513801/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.