Migration in Itobi/SP (2017–2022)

Itobi/SP had a reference population (aged 5 or over in 2022) of 7,575 people. In the 2017–2022 five-year period, the municipality received 815 in-migrants and lost 385 out-migrants to other municipalities in Brazil, resulting in a net migration of +430 people (56.45 per 1,000 population) and a migration effectiveness index (IEM) of 0.356. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Itobi/SP, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	815	673 to 957	good
Out-migrants	385	215 to 555	use with caution
Net migration	+430	208 to 652	not classified
Net migration rate, TLM (per 1,000 pop.)	56.45	-	-
Migration effectiveness index (IEM)	0.356	-	-

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 Itobi/SP
Origin	People	Precision
Casa Branca/SP · view pair in the atlas	105	use with caution
Vargem Grande do Sul/SP · view pair in the atlas	90	use with caution
Pedra Branca/CE · view pair in the atlas	85	use with caution
São José do Rio Pardo/SP · view pair in the atlas	80	low precision
São Paulo/SP · view pair in the atlas	75	low precision
Quixeramobim/CE · view pair in the atlas	30	low precision
São Sebastião da Grama/SP · view pair in the atlas	20	low precision
Santo André/SP · view pair in the atlas	15	low precision
Campinas/SP · view pair in the atlas	15	low precision
Santa Cruz das Palmeiras/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Itobi/SP
Destination	People	Precision
São José do Rio Pardo/SP · view pair in the atlas	100	low precision
Casa Branca/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	435	53.0%	100-499
Multi-step migration	300	36.6%	50-99
Return to municipality of birth	80	9.8%	20-49
Other / suppressed	5	0.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	195	38.2%	50-99
Completed high school, incomplete higher education	150	29.4%	50-99
Completed higher education	85	16.7%	20-49
Completed elementary, incomplete high school	80	15.7%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	330	40.5%	100-499
1 to 2 minimum wages	225	27.6%	50-99
More than 2 minimum wages	140	17.2%	20-49
¼ to ½ minimum wage	90	11.0%	20-49
Up to ¼ of a minimum wage	25	3.1%	5-19
Other / suppressed	5	0.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	120	14.6%	20-49
Ages 25–39, male	115	14.0%	20-49
Ages 40–59, male	110	13.4%	20-49
Ages 15–24, male	85	10.4%	20-49
Ages 15–24, female	85	10.4%	20-49
Ages 40–59, female	80	9.8%	20-49
Ages 5–14, male	70	8.5%	20-49
Ages 5–14, female	70	8.5%	20-49
Ages 60 and over, male	45	5.5%	5-19
Ages 60 and over, female	40	4.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	265	68.8%	20-49
Return to municipality of birth	90	23.4%	5-19
Other / suppressed	30	7.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	125	50.0%	5-19
Other / suppressed	75	30.0%	5-19
No schooling or incomplete elementary	50	20.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	120	30.8%	5-19
1 to 2 minimum wages	85	21.8%	5-19
¼ to ½ minimum wage	65	16.7%	5-19
Other / suppressed	60	15.4%	5-19
More than 2 minimum wages	60	15.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	250	64.9%	20-49
Ages 25–39, male	100	26.0%	5-19
Ages 40–59, male	35	9.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,130	42.7%	>=500
Completed high school, incomplete higher education	1,625	32.6%	>=500
Completed elementary, incomplete high school	685	13.7%	100-499
Completed higher education	550	11.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,855	39.5%	>=500
1 to 2 minimum wages	2,415	33.4%	>=500
¼ to ½ minimum wage	875	12.1%	100-499
More than 2 minimum wages	850	11.8%	100-499
Up to ¼ of a minimum wage	200	2.8%	50-99
Not applicable (collective dwelling)	35	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	965	14.3%	100-499
Ages 40–59, female	940	13.9%	100-499
Ages 25–39, male	840	12.4%	100-499
Ages 25–39, female	815	12.1%	100-499
Ages 60 and over, female	765	11.3%	100-499
Ages 60 and over, male	675	10.0%	100-499
Ages 15–24, male	525	7.8%	100-499
Ages 15–24, female	420	6.2%	100-499
Ages 5–14, male	420	6.2%	100-499
Ages 5–14, female	395	5.8%	100-499

Commuting (work and study)

Commuting indicators for Itobi/SP
Employed persons (aged 10 and over)	4,190
Commute out to work in another municipality	830
Commute in from another municipality to work here	210
Net commuting	−620
Out-commuting rate (%)	19.77
Commuting attraction index	0.829
Median commuting time	22 min

Open Itobi/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]: Itobi/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/itobi-sp-3523800/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.