Migration in Silveiras/SP (2017–2022)

Silveiras/SP had a reference population (aged 5 or over in 2022) of 5,815 people. In the 2017–2022 five-year period, the municipality received 390 in-migrants and lost 485 out-migrants to other municipalities in Brazil, resulting in a net migration of −95 people (−16.14 per 1,000 population) and a migration effectiveness index (IEM) of −0.107. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Silveiras/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	390	294 to 486	good
Out-migrants	485	215 to 755	use with caution
Net migration	−95	−382 to 192	not classified
Net migration rate, TLM (per 1,000 pop.)	−16.14	-	-
Migration effectiveness index (IEM)	−0.107	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Silveiras/SP
Origin	People	Precision
Cachoeira Paulista/SP · view pair in the atlas	60	use with caution
Cruzeiro/SP · view pair in the atlas	50	low precision
Lorena/SP · view pair in the atlas	40	low precision
Cunha/SP · view pair in the atlas	35	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Taubaté/SP · view pair in the atlas	25	low precision
Guaratinguetá/SP · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Silveiras/SP
Destination	People	Precision
Cachoeira Paulista/SP · view pair in the atlas	85	low precision
Guaratinguetá/SP · view pair in the atlas	65	low precision
Cruzeiro/SP · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	220	56.4%	50-99
Multi-step migration	105	26.9%	20-49
Return to municipality of birth	65	16.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	150	51.7%	20-49
No schooling or incomplete elementary	80	27.6%	20-49
Completed higher education	30	10.3%	5-19
Completed elementary, incomplete high school	30	10.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	170	43.6%	50-99
1 to 2 minimum wages	75	19.2%	20-49
¼ to ½ minimum wage	60	15.4%	5-19
Up to ¼ of a minimum wage	45	11.5%	5-19
More than 2 minimum wages	40	10.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	65	16.5%	20-49
Ages 40–59, female	55	13.9%	5-19
Ages 25–39, male	55	13.9%	5-19
Ages 40–59, male	45	11.4%	5-19
Ages 60 and over, female	40	10.1%	5-19
Ages 15–24, female	40	10.1%	5-19
Ages 60 and over, male	35	8.9%	5-19
Ages 15–24, male	25	6.3%	5-19
Ages 5–14, male	20	5.1%	5-19
Ages 5–14, female	15	3.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	200	41.2%	5-19
First move from municipality of birth	195	40.2%	5-19
Return to municipality of birth	90	18.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	140	40.6%	5-19
No schooling or incomplete elementary	125	36.2%	5-19
Other / suppressed	80	23.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	225	46.4%	5-19
1 to 2 minimum wages	115	23.7%	5-19
Other / suppressed	85	17.5%	5-19
¼ to ½ minimum wage	60	12.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	185	38.1%	5-19
Ages 25–39, male	80	16.5%	5-19
Ages 40–59, male	55	11.3%	5-19
Ages 40–59, female	50	10.3%	5-19
Ages 15–24, female	40	8.2%	5-19
Ages 15–24, male	40	8.2%	5-19
Ages 5–14, male	35	7.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,955	51.1%	>=500
Completed high school, incomplete higher education	1,015	26.5%	100-499
Completed elementary, incomplete high school	460	12.0%	100-499
Completed higher education	395	10.3%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,140	37.0%	>=500
¼ to ½ minimum wage	1,520	26.3%	100-499
1 to 2 minimum wages	1,045	18.0%	100-499
Up to ¼ of a minimum wage	650	11.2%	100-499
More than 2 minimum wages	425	7.3%	100-499
Other / suppressed	10	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	805	14.8%	100-499
Ages 40–59, female	770	14.2%	100-499
Ages 25–39, female	585	10.8%	100-499
Ages 60 and over, female	555	10.2%	100-499
Ages 60 and over, male	555	10.2%	100-499
Ages 25–39, male	555	10.2%	100-499
Ages 15–24, male	445	8.2%	100-499
Ages 15–24, female	415	7.6%	100-499
Ages 5–14, female	375	6.9%	50-99
Ages 5–14, male	365	6.7%	100-499

Commuting (work and study)

Commuting indicators for Silveiras/SP
Employed persons (aged 10 and over)	2,760
Commute out to work in another municipality	305
Commute in from another municipality to work here	110
Net commuting	−195
Out-commuting rate (%)	11.02
Commuting attraction index	0.919
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 Silveiras/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]: Silveiras/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/silveiras-sp-3552007/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.