Migration in Queluz/SP (2017–2022)

Queluz/SP had a reference population (aged 5 or over in 2022) of 8,560 people. In the 2017–2022 five-year period, the municipality received 445 in-migrants and lost 550 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−12.11 per 1,000 population) and a migration effectiveness index (IEM) of −0.104. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Queluz/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	445	290 to 600	use with caution
Out-migrants	550	337 to 763	use with caution
Net migration	−105	−369 to 159	not classified
Net migration rate, TLM (per 1,000 pop.)	−12.11	-	-
Migration effectiveness index (IEM)	−0.104	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Queluz/SP
Origin	People	Precision
Resende/RJ · view pair in the atlas	60	low precision
Cruzeiro/SP · view pair in the atlas	60	low precision
Areias/SP · view pair in the atlas	40	low precision
São José dos Campos/SP · view pair in the atlas	35	low precision

Top 10 destinations of out-migrants from Queluz/SP
Destination	People	Precision
Resende/RJ · view pair in the atlas	130	low precision
Cruzeiro/SP · view pair in the atlas	110	low precision
Lavrinhas/SP · view pair in the atlas	20	low precision
Areias/SP · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	190	42.7%	20-49
First move from municipality of birth	190	42.7%	20-49
Return to municipality of birth	60	13.5%	5-19
Other / suppressed	5	1.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	135	45.8%	20-49
No schooling or incomplete elementary	80	27.1%	5-19
Completed elementary, incomplete high school	40	13.6%	5-19
Completed higher education	40	13.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	165	37.1%	20-49
¼ to ½ minimum wage	150	33.7%	20-49
1 to 2 minimum wages	65	14.6%	5-19
More than 2 minimum wages	30	6.7%	5-19
Up to ¼ of a minimum wage	30	6.7%	5-19
Other / suppressed	5	1.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	80	18.0%	5-19
Ages 25–39, male	65	14.6%	5-19
Ages 40–59, female	60	13.5%	5-19
Ages 25–39, female	55	12.4%	5-19
Ages 5–14, female	55	12.4%	5-19
Other / suppressed	45	10.1%	5-19
Ages 15–24, female	35	7.9%	5-19
Ages 15–24, male	25	5.6%	5-19
Ages 60 and over, female	25	5.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	295	53.6%	20-49
Multi-step migration	175	31.8%	20-49
Return to municipality of birth	80	14.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	200	61.5%	20-49
No schooling or incomplete elementary	70	21.5%	5-19
Completed elementary, incomplete high school	40	12.3%	5-19
Other / suppressed	15	4.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	250	45.5%	20-49
1 to 2 minimum wages	205	37.3%	20-49
¼ to ½ minimum wage	40	7.3%	5-19
Other / suppressed	30	5.5%	<5
More than 2 minimum wages	25	4.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	120	22.0%	5-19
Ages 15–24, female	70	12.8%	5-19
Ages 25–39, female	65	11.9%	5-19
Ages 15–24, male	65	11.9%	5-19
Ages 40–59, female	50	9.2%	5-19
Other / suppressed	50	9.2%	<5
Ages 40–59, male	45	8.3%	5-19
Ages 5–14, male	45	8.3%	5-19
Ages 60 and over, female	35	6.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,210	38.4%	100-499
Completed high school, incomplete higher education	2,155	37.5%	100-499
Completed elementary, incomplete high school	725	12.6%	100-499
Completed higher education	660	11.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,270	37.5%	>=500
1 to 2 minimum wages	1,980	22.7%	100-499
¼ to ½ minimum wage	1,875	21.5%	100-499
Up to ¼ of a minimum wage	800	9.2%	100-499
More than 2 minimum wages	750	8.6%	100-499
Not applicable (collective dwelling)	40	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,200	14.8%	100-499
Ages 40–59, male	1,145	14.1%	100-499
Ages 25–39, female	935	11.5%	100-499
Ages 25–39, male	930	11.5%	100-499
Ages 60 and over, female	830	10.2%	100-499
Ages 60 and over, male	710	8.7%	100-499
Ages 15–24, male	630	7.8%	100-499
Ages 15–24, female	620	7.6%	100-499
Ages 5–14, male	600	7.4%	100-499
Ages 5–14, female	515	6.3%	50-99

Commuting (work and study)

Commuting indicators for Queluz/SP
Employed persons (aged 10 and over)	4,015
Commute out to work in another municipality	700
Commute in from another municipality to work here	275
Net commuting	−430
Out-commuting rate (%)	17.47
Commuting attraction index	0.881
Median commuting time	40 min

This municipality is part of Região Metropolitana do Vale do Paraíba e Litoral Norte → see the metropolitan region page

Open Queluz/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]: Queluz/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/queluz-sp-3541901/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.