Migration in Santa Rosa de Viterbo/SP (2017–2022)

Santa Rosa de Viterbo/SP had a reference population (aged 5 or over in 2022) of 22,275 people. In the 2017–2022 five-year period, the municipality received 1,110 in-migrants and lost 1,265 out-migrants to other municipalities in Brazil, resulting in a net migration of −150 people (−6.85 per 1,000 population) and a migration effectiveness index (IEM) of −0.064. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 20 came from abroad.

Indicators

Migration indicators for Santa Rosa de Viterbo/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,110	780 to 1,440	use with caution
Out-migrants	1,265	874 to 1,656	use with caution
Net migration	−150	−662 to 362	not classified
Net migration rate, TLM (per 1,000 pop.)	−6.85	-	-
Migration effectiveness index (IEM)	−0.064	-	-

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

Top origins and destinations

Top 10 origins of in-migrants to Santa Rosa de Viterbo/SP
Origin	People	Precision
São Paulo/SP · view pair in the atlas	220	low precision
São Simão/SP · view pair in the atlas	140	low precision
Ribeirão Preto/SP · view pair in the atlas	80	low precision
Tambaú/SP · view pair in the atlas	70	low precision

Top 10 destinations of out-migrants from Santa Rosa de Viterbo/SP
Destination	People	Precision
Ribeirão Preto/SP · view pair in the atlas	390	low precision
Tambaú/SP · view pair in the atlas	60	low precision
São Simão/SP · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	560	50.2%	50-99
Multi-step migration	430	38.6%	20-49
Return to municipality of birth	115	10.3%	5-19
Other / suppressed	10	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	290	38.2%	20-49
Completed higher education	195	25.7%	5-19
No schooling or incomplete elementary	140	18.4%	5-19
Completed elementary, incomplete high school	135	17.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	415	37.2%	20-49
1 to 2 minimum wages	215	19.3%	20-49
More than 2 minimum wages	195	17.5%	5-19
¼ to ½ minimum wage	175	15.7%	20-49
Up to ¼ of a minimum wage	105	9.4%	5-19
Other / suppressed	10	0.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	225	20.3%	20-49
Ages 25–39, female	175	15.8%	5-19
Ages 40–59, female	155	14.0%	5-19
Ages 40–59, male	145	13.1%	5-19
Ages 5–14, female	115	10.4%	5-19
Ages 15–24, female	100	9.0%	5-19
Ages 5–14, male	75	6.8%	5-19
Ages 15–24, male	65	5.9%	5-19
Ages 60 and over, female	45	4.1%	5-19
Other / suppressed	10	0.9%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	570	45.2%	50-99
Multi-step migration	555	44.0%	50-99
Return to municipality of birth	135	10.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	275	36.9%	20-49
No schooling or incomplete elementary	220	29.5%	20-49
Completed higher education	130	17.4%	5-19
Completed elementary, incomplete high school	120	16.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	420	33.2%	20-49
1 to 2 minimum wages	370	29.2%	20-49
More than 2 minimum wages	185	14.6%	20-49
¼ to ½ minimum wage	140	11.1%	5-19
Up to ¼ of a minimum wage	95	7.5%	5-19
Not applicable (collective dwelling)	55	4.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	200	15.9%	20-49
Ages 25–39, female	190	15.1%	5-19
Ages 15–24, male	155	12.4%	5-19
Ages 15–24, female	155	12.4%	5-19
Ages 5–14, male	140	11.2%	5-19
Ages 40–59, male	140	11.2%	5-19
Ages 40–59, female	85	6.8%	5-19
Ages 60 and over, female	80	6.4%	5-19
Ages 5–14, female	60	4.8%	5-19
Ages 60 and over, male	50	4.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	5,710	36.5%	>=500
No schooling or incomplete elementary	5,235	33.4%	>=500
Completed elementary, incomplete high school	2,420	15.5%	100-499
Completed higher education	2,295	14.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	8,000	35.9%	>=500
1 to 2 minimum wages	6,755	30.3%	>=500
More than 2 minimum wages	3,640	16.3%	100-499
¼ to ½ minimum wage	2,980	13.4%	100-499
Up to ¼ of a minimum wage	895	4.0%	50-99
Other / suppressed	10	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	3,175	15.0%	100-499
Ages 40–59, male	3,145	14.9%	100-499
Ages 60 and over, female	2,705	12.8%	100-499
Ages 25–39, female	2,350	11.1%	100-499
Ages 60 and over, male	2,155	10.2%	100-499
Ages 25–39, male	2,135	10.1%	100-499
Ages 15–24, male	1,425	6.7%	100-499
Ages 5–14, female	1,425	6.7%	100-499
Ages 5–14, male	1,315	6.2%	100-499
Ages 15–24, female	1,315	6.2%	100-499

Commuting (work and study)

Commuting indicators for Santa Rosa de Viterbo/SP
Employed persons (aged 10 and over)	10,480
Commute out to work in another municipality	1,485
Commute in from another municipality to work here	185
Net commuting	−1,300
Out-commuting rate (%)	14.17
Commuting attraction index	0.862
Median commuting time	60 min

This municipality is part of Região Metropolitana de Ribeirão Preto → see the metropolitan region page

Open Santa Rosa de Viterbo/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]: Santa Rosa de Viterbo/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-rosa-de-viterbo-sp-3547601/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.