Migration in Sabino/SP (2017–2022)

Sabino/SP had a reference population (aged 5 or over in 2022) of 4,870 people. In the 2017–2022 five-year period, the municipality received 440 in-migrants and lost 530 out-migrants to other municipalities in Brazil, resulting in a net migration of −95 people (−19.22 per 1,000 population) and a migration effectiveness index (IEM) of −0.096. 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 Sabino/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	440	326 to 554	good
Out-migrants	530	353 to 707	use with caution
Net migration	−95	−306 to 116	not classified
Net migration rate, TLM (per 1,000 pop.)	−19.22	-	-
Migration effectiveness index (IEM)	−0.096	-	-

Sample of in-migrants: 100-499 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 Sabino/SP
Origin	People	Precision
Lins/SP · view pair in the atlas	105	use with caution
Marília/SP · view pair in the atlas	35	low precision
São Paulo/SP · view pair in the atlas	30	low precision
Suzano/SP · view pair in the atlas	30	low precision
Guaimbê/SP · view pair in the atlas	20	low precision
Cafelândia/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Sabino/SP
Destination	People	Precision
Lins/SP · view pair in the atlas	80	low precision
São José do Rio Preto/SP · view pair in the atlas	75	low precision
Guaiçara/SP · view pair in the atlas	70	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	235	53.4%	50-99
First move from municipality of birth	180	40.9%	50-99
Return to municipality of birth	25	5.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	105	34.4%	20-49
No schooling or incomplete elementary	95	31.1%	20-49
Completed elementary, incomplete high school	80	26.2%	20-49
Completed higher education	25	8.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	33.3%	20-49
1 to 2 minimum wages	115	26.4%	20-49
¼ to ½ minimum wage	105	24.1%	20-49
More than 2 minimum wages	55	12.6%	5-19
Other / suppressed	15	3.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	65	14.8%	20-49
Ages 25–39, female	60	13.6%	5-19
Ages 40–59, female	55	12.5%	5-19
Ages 25–39, male	50	11.4%	5-19
Ages 60 and over, male	50	11.4%	5-19
Ages 5–14, female	40	9.1%	5-19
Ages 15–24, female	40	9.1%	5-19
Ages 5–14, male	35	8.0%	5-19
Ages 60 and over, female	25	5.7%	5-19
Ages 15–24, male	20	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	335	63.2%	50-99
First move from municipality of birth	115	21.7%	5-19
Return to municipality of birth	75	14.2%	5-19
Other / suppressed	5	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	190	44.2%	20-49
Completed higher education	95	22.1%	5-19
No schooling or incomplete elementary	85	19.8%	5-19
Completed elementary, incomplete high school	60	14.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	185	34.9%	20-49
1 to 2 minimum wages	165	31.1%	20-49
More than 2 minimum wages	95	17.9%	5-19
¼ to ½ minimum wage	45	8.5%	5-19
Up to ¼ of a minimum wage	40	7.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	130	24.5%	5-19
Ages 25–39, female	95	17.9%	5-19
Ages 40–59, male	65	12.3%	5-19
Ages 40–59, female	60	11.3%	5-19
Ages 60 and over, female	45	8.5%	5-19
Ages 15–24, male	35	6.6%	5-19
Ages 60 and over, male	35	6.6%	5-19
Other / suppressed	35	6.6%	5-19
Ages 15–24, female	30	5.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,630	48.4%	>=500
Completed high school, incomplete higher education	795	23.6%	100-499
Completed elementary, incomplete high school	610	18.1%	100-499
Completed higher education	335	9.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,710	36.6%	>=500
1 to 2 minimum wages	1,440	30.8%	100-499
¼ to ½ minimum wage	740	15.8%	100-499
More than 2 minimum wages	550	11.8%	100-499
Up to ¼ of a minimum wage	235	5.0%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	710	16.0%	100-499
Ages 60 and over, female	655	14.8%	100-499
Ages 40–59, male	595	13.4%	100-499
Ages 60 and over, male	585	13.2%	100-499
Ages 25–39, female	415	9.4%	100-499
Ages 25–39, male	410	9.3%	100-499
Ages 5–14, female	275	6.2%	100-499
Ages 5–14, male	275	6.2%	50-99
Ages 15–24, male	270	6.1%	100-499
Ages 15–24, female	235	5.3%	50-99

Commuting (work and study)

Commuting indicators for Sabino/SP
Employed persons (aged 10 and over)	2,210
Commute out to work in another municipality	400
Commute in from another municipality to work here	150
Net commuting	−245
Out-commuting rate (%)	18.06
Commuting attraction index	0.873
Median commuting time	40 min

Open Sabino/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]: Sabino/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sabino-sp-3544608/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.