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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Cajobi/SP (2017–2022)

Cajobi/SP had a reference population (aged 5 or over in 2022) of 8,660 people. In the 2017–2022 five-year period, the municipality received 655 in-migrants and lost 425 out-migrants to other municipalities in Brazil, resulting in a net migration of +230 people (26.72 per 1,000 population) and a migration effectiveness index (IEM) of 0.214. This classifies the municipality, for the period, as one of migratory attraction. In addition, 20 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Cajobi/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants655483 to 827good
Out-migrants425283 to 567use with caution
Net migration+2307 to 453not classified
Net migration rate, TLM (per 1,000 pop.)26.72--
Migration effectiveness index (IEM)0.214--

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 Cajobi/SP
OriginPeoplePrecision
Severínia/SP · view pair in the atlas135low precision
Embaúba/SP · view pair in the atlas40low precision
São José do Rio Preto/SP · view pair in the atlas40low precision
Olímpia/SP · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Cajobi/SP
DestinationPeoplePrecision
Severínia/SP · view pair in the atlas40low precision
Monte Azul Paulista/SP · view pair in the atlas30low precision
Embaúba/SP · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration38058.0%50-99
First move from municipality of birth20531.3%20-49
Return to municipality of birth7010.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education20047.1%20-49
No schooling or incomplete elementary12028.2%20-49
Completed elementary, incomplete high school6515.3%5-19
Completed higher education409.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage24036.9%50-99
1 to 2 minimum wages19029.2%20-49
More than 2 minimum wages9514.6%5-19
¼ to ½ minimum wage9013.8%20-49
Other / suppressed355.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male10516.0%20-49
Ages 25–39, female10015.3%20-49
Ages 40–59, male10015.3%5-19
Ages 40–59, female8012.2%5-19
Ages 15–24, male659.9%5-19
Ages 5–14, female558.4%5-19
Ages 5–14, male558.4%5-19
Ages 15–24, female558.4%5-19
Other / suppressed203.1%<5
Ages 60 and over, male203.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration20548.2%20-49
First move from municipality of birth17541.2%20-49
Return to municipality of birth4510.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education11041.5%5-19
Completed higher education7528.3%5-19
No schooling or incomplete elementary5520.8%5-19
Completed elementary, incomplete high school259.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages19044.7%20-49
More than 2 minimum wages12529.4%5-19
½ to 1 minimum wage7016.5%5-19
Up to ¼ of a minimum wage307.1%5-19
¼ to ½ minimum wage102.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, male10023.8%5-19
Ages 25–39, male8520.2%5-19
Other / suppressed4510.7%5-19
Ages 25–39, female409.5%5-19
Ages 40–59, male409.5%5-19
Ages 60 and over, female409.5%5-19
Ages 15–24, female358.3%5-19
Ages 40–59, female358.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,69044.6%>=500
Completed high school, incomplete higher education1,89531.4%100-499
Completed higher education79013.1%100-499
Completed elementary, incomplete high school66010.9%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,04036.0%>=500
1 to 2 minimum wages2,96035.1%>=500
¼ to ½ minimum wage1,16013.7%100-499
More than 2 minimum wages97011.5%100-499
Up to ¼ of a minimum wage3153.7%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,21515.2%100-499
Ages 40–59, male1,16014.5%100-499
Ages 60 and over, female1,04513.1%100-499
Ages 25–39, male92011.5%100-499
Ages 60 and over, male87511.0%100-499
Ages 25–39, female82510.3%100-499
Ages 15–24, male5256.6%100-499
Ages 15–24, female5006.3%100-499
Ages 5–14, female4655.8%100-499
Ages 5–14, male4505.6%50-99

Commuting (work and study)

Commuting indicators for Cajobi/SP
Employed persons (aged 10 and over)4,625
Commute out to work in another municipality845
Commute in from another municipality to work here270
Net commuting−575
Out-commuting rate (%)18.30
Commuting attraction index0.809
Median commuting time60 min

Open Cajobi/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]: Cajobi/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cajobi-sp-3509304/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.