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

Migration in Santa Maria da Serra/SP (2017–2022)

Santa Maria da Serra/SP had a reference population (aged 5 or over in 2022) of 4,900 people. In the 2017–2022 five-year period, the municipality received 435 in-migrants and lost 510 out-migrants to other municipalities in Brazil, resulting in a net migration of −75 people (−14.91 per 1,000 population) and a migration effectiveness index (IEM) of −0.077. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santa Maria da Serra/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants435321 to 549good
Out-migrants510335 to 685use with caution
Net migration−75−284 to 134not classified
Net migration rate, TLM (per 1,000 pop.)−14.91--
Migration effectiveness index (IEM)−0.077--

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 Maria da Serra/SP
OriginPeoplePrecision
Piracicaba/SP · view pair in the atlas100use with caution
São Paulo/SP · view pair in the atlas35low precision
São Pedro/SP · view pair in the atlas25low precision
Torrinha/SP · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Santa Maria da Serra/SP
DestinationPeoplePrecision
São Pedro/SP · view pair in the atlas75low precision
Piracicaba/SP · view pair in the atlas55low precision
Torrinha/SP · view pair in the atlas50low precision
Botucatu/SP · view pair in the atlas50low precision
Irajuba/BA · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration19544.8%50-99
First move from municipality of birth18041.4%50-99
Return to municipality of birth5512.6%5-19
Other / suppressed51.1%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11040.7%20-49
Completed high school, incomplete higher education9033.3%20-49
Completed elementary, incomplete high school4014.8%5-19
Completed higher education3011.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12027.6%20-49
1 to 2 minimum wages10524.1%20-49
More than 2 minimum wages7016.1%20-49
¼ to ½ minimum wage7016.1%20-49
Up to ¼ of a minimum wage7016.1%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, male7517.0%20-49
Ages 25–39, female6013.6%5-19
Ages 40–59, male5512.5%5-19
Ages 40–59, female5011.4%5-19
Ages 15–24, female5011.4%5-19
Ages 5–14, male4510.2%5-19
Ages 5–14, female409.1%5-19
Ages 15–24, male358.0%5-19
Ages 60 and over, female153.4%5-19
Other / suppressed153.4%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration19538.2%20-49
First move from municipality of birth18536.3%20-49
Return to municipality of birth13025.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary13545.8%20-49
Completed high school, incomplete higher education10535.6%5-19
Completed elementary, incomplete high school3511.9%5-19
Other / suppressed206.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages16532.4%20-49
½ to 1 minimum wage11522.5%5-19
¼ to ½ minimum wage10019.6%20-49
Other / suppressed8015.7%5-19
Up to ¼ of a minimum wage509.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male12023.3%5-19
Ages 25–39, female10019.4%5-19
Ages 15–24, female9017.5%5-19
Ages 15–24, male6512.6%5-19
Ages 40–59, male5510.7%5-19
Ages 5–14, female509.7%5-19
Other / suppressed356.8%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,44545.3%100-499
Completed high school, incomplete higher education93529.3%100-499
Completed elementary, incomplete high school51516.1%100-499
Completed higher education2959.2%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages1,69035.2%>=500
½ to 1 minimum wage1,59533.2%>=500
¼ to ½ minimum wage65513.6%100-499
More than 2 minimum wages62513.0%100-499
Up to ¼ of a minimum wage2405.0%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male62013.9%100-499
Ages 40–59, female61513.7%100-499
Ages 25–39, male55512.4%100-499
Ages 25–39, female54012.1%100-499
Ages 60 and over, female4409.8%100-499
Ages 60 and over, male4309.6%100-499
Ages 5–14, male3457.7%100-499
Ages 15–24, female3307.4%100-499
Ages 5–14, female3106.9%50-99
Ages 15–24, male2906.5%100-499

Commuting (work and study)

Commuting indicators for Santa Maria da Serra/SP
Employed persons (aged 10 and over)2,765
Commute out to work in another municipality295
Commute in from another municipality to work here150
Net commuting−145
Out-commuting rate (%)10.73
Commuting attraction index0.941
Median commuting time60 min

This municipality is part of Região Metropolitana de Piracicaba → see the metropolitan region page

Open Santa Maria da Serra/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 Maria da Serra/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-maria-da-serra-sp-3547007/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.