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

Migration in Tejupá/SP (2017–2022)

Tejupá/SP had a reference population (aged 5 or over in 2022) of 3,865 people. In the 2017–2022 five-year period, the municipality received 330 in-migrants and lost 290 out-migrants to other municipalities in Brazil, resulting in a net migration of +40 people (10.46 per 1,000 population) and a migration effectiveness index (IEM) of 0.065. 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 Tejupá/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants330235 to 425good
Out-migrants290159 to 421use with caution
Net migration+40−122 to 202not classified
Net migration rate, TLM (per 1,000 pop.)10.46--
Migration effectiveness index (IEM)0.065--

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 Tejupá/SP
OriginPeoplePrecision
Taquarituba/SP · view pair in the atlas70low precision
Piraju/SP · view pair in the atlas50low precision
Chavantes/SP · view pair in the atlas30low precision
Taguaí/SP · view pair in the atlas20low precision
Fartura/SP · view pair in the atlas20low precision
Sorocaba/SP · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Tejupá/SP
DestinationPeoplePrecision
Piraju/SP · view pair in the atlas105low precision
Taguaí/SP · view pair in the atlas40low precision
Sarutaiá/SP · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth16049.2%50-99
Multi-step migration13040.0%20-49
Return to municipality of birth3510.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10047.6%20-49
Completed high school, incomplete higher education6531.0%20-49
Completed elementary, incomplete high school3014.3%5-19
Completed higher education157.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12035.8%20-49
¼ to ½ minimum wage8525.4%20-49
Up to ¼ of a minimum wage6017.9%5-19
1 to 2 minimum wages4513.4%5-19
More than 2 minimum wages257.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male5015.2%5-19
Ages 25–39, female5015.2%5-19
Ages 25–39, male4513.6%5-19
Ages 40–59, female4513.6%5-19
Ages 15–24, male3510.6%5-19
Ages 15–24, female309.1%5-19
Ages 5–14, female309.1%5-19
Ages 5–14, male257.6%5-19
Other / suppressed103.0%<5
Ages 60 and over, female103.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration12543.9%20-49
Return to municipality of birth8529.8%5-19
First move from municipality of birth7526.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7048.3%5-19
Other / suppressed4531.0%5-19
Completed high school, incomplete higher education3020.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage12040.7%20-49
½ to 1 minimum wage8027.1%5-19
1 to 2 minimum wages6522.0%5-19
Other / suppressed3010.2%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed8027.6%5-19
Ages 15–24, female6020.7%5-19
Ages 25–39, female5519.0%5-19
Ages 5–14, female4013.8%5-19
Ages 40–59, female3010.3%5-19
Ages 40–59, male258.6%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,42058.0%100-499
Completed high school, incomplete higher education55022.4%100-499
Completed elementary, incomplete high school31512.9%100-499
Completed higher education1656.7%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,65543.7%>=500
¼ to ½ minimum wage97525.7%100-499
1 to 2 minimum wages70518.6%100-499
Up to ¼ of a minimum wage2406.3%50-99
More than 2 minimum wages2155.7%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male48513.8%100-499
Ages 40–59, female47013.3%100-499
Ages 25–39, male39011.1%100-499
Ages 60 and over, male38510.9%100-499
Ages 60 and over, female36510.4%100-499
Ages 25–39, female3509.9%100-499
Ages 15–24, female2908.2%50-99
Ages 15–24, male2858.1%50-99
Ages 5–14, female2557.2%50-99
Ages 5–14, male2507.1%50-99

Commuting (work and study)

Commuting indicators for Tejupá/SP
Employed persons (aged 10 and over)1,840
Commute out to work in another municipality275
Commute in from another municipality to work here140
Net commuting−135
Out-commuting rate (%)14.90
Commuting attraction index0.915
Median commuting time60 min

Open Tejupá/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]: Tejupá/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/tejupa-sp-3554201/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.