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

Migration in Santa Clara d'Oeste/SP (2017–2022)

Santa Clara d'Oeste/SP had a reference population (aged 5 or over in 2022) of 2,420 people. In the 2017–2022 five-year period, the municipality received 525 in-migrants and lost 345 out-migrants to other municipalities in Brazil, resulting in a net migration of +180 people (74.12 per 1,000 population) and a migration effectiveness index (IEM) of 0.206. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santa Clara d'Oeste/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants525428 to 622good
Out-migrants345193 to 497use with caution
Net migration+1800 to 360not classified
Net migration rate, TLM (per 1,000 pop.)74.12--
Migration effectiveness index (IEM)0.206--

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 Santa Clara d'Oeste/SP
OriginPeoplePrecision
Santa Fé do Sul/SP · view pair in the atlas85use with caution
São Paulo/SP · view pair in the atlas40low precision
Pedro do Rosário/MA · view pair in the atlas30low precision
Aparecida do Taboado/MS · view pair in the atlas20low precision
Santa Albertina/SP · view pair in the atlas15low precision
Três Fronteiras/SP · view pair in the atlas10low precision
Araçatuba/SP · view pair in the atlas10low precision
Urânia/SP · view pair in the atlas10low precision
Top 10 destinations of out-migrants from Santa Clara d'Oeste/SP
DestinationPeoplePrecision
Santa Fé do Sul/SP · view pair in the atlas50low precision
Americana/SP · view pair in the atlas45low precision
Santana da Ponte Pensa/SP · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration29556.2%100-499
First move from municipality of birth18034.3%50-99
Return to municipality of birth458.6%20-49
Other / suppressed51.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary13539.1%50-99
Completed high school, incomplete higher education10530.4%50-99
Completed elementary, incomplete high school7020.3%20-49
Completed higher education3510.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage22042.3%100-499
1 to 2 minimum wages14026.9%50-99
¼ to ½ minimum wage8015.4%20-49
Up to ¼ of a minimum wage509.6%20-49
More than 2 minimum wages254.8%5-19
Other / suppressed51.0%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female7514.3%20-49
Ages 40–59, male7013.3%20-49
Ages 25–39, male6512.4%20-49
Ages 15–24, female509.5%20-49
Ages 25–39, female509.5%20-49
Ages 5–14, female458.6%20-49
Ages 15–24, male458.6%20-49
Ages 60 and over, male458.6%20-49
Ages 5–14, male407.6%20-49
Ages 60 and over, female407.6%20-49

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration24571.0%20-49
Return to municipality of birth7521.7%5-19
First move from municipality of birth257.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education7031.1%5-19
Completed elementary, incomplete high school5524.4%5-19
Completed higher education5524.4%5-19
No schooling or incomplete elementary4520.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage13037.7%5-19
1 to 2 minimum wages11533.3%20-49
More than 2 minimum wages7020.3%5-19
Other / suppressed308.7%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed7020.3%5-19
Ages 25–39, female6518.8%5-19
Ages 25–39, male5515.9%5-19
Ages 5–14, male4513.0%5-19
Ages 40–59, female4513.0%5-19
Ages 60 and over, female257.2%5-19
Ages 15–24, male257.2%5-19
Ages 60 and over, male154.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary63043.9%100-499
Completed high school, incomplete higher education36025.1%100-499
Completed higher education25517.8%100-499
Completed elementary, incomplete high school19013.2%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage75536.6%100-499
1 to 2 minimum wages73035.4%100-499
More than 2 minimum wages31515.3%100-499
¼ to ½ minimum wage1859.0%50-99
Up to ¼ of a minimum wage803.9%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female27514.7%100-499
Ages 40–59, male26514.1%100-499
Ages 60 and over, female24012.8%100-499
Ages 60 and over, male23512.5%100-499
Ages 25–39, female22011.7%100-499
Ages 25–39, male20010.7%100-499
Ages 5–14, female1206.4%50-99
Ages 15–24, male1206.4%50-99
Ages 5–14, male1156.1%50-99
Ages 15–24, female854.5%20-49

Commuting (work and study)

Commuting indicators for Santa Clara d'Oeste/SP
Employed persons (aged 10 and over)1,245
Commute out to work in another municipality325
Commute in from another municipality to work here550
Net commuting+225
Out-commuting rate (%)26.00
Commuting attraction index1.158
Median commuting time30 min

Open Santa Clara d'Oeste/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 Clara d'Oeste/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-clara-d-oeste-sp-3546108/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.