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

Migration in Alumínio/SP (2017–2022)

Alumínio/SP had a reference population (aged 5 or over in 2022) of 16,235 people. In the 2017–2022 five-year period, the municipality received 1,120 in-migrants and lost 1,300 out-migrants to other municipalities in Brazil, resulting in a net migration of −180 people (−11.20 per 1,000 population) and a migration effectiveness index (IEM) of −0.075. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Alumínio/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,120871 to 1,369good
Out-migrants1,300790 to 1,810use with caution
Net migration−180−748 to 388not classified
Net migration rate, TLM (per 1,000 pop.)−11.20--
Migration effectiveness index (IEM)−0.075--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Alumínio/SP
OriginPeoplePrecision
Sorocaba/SP · view pair in the atlas220use with caution
Mairinque/SP · view pair in the atlas145use with caution
São Paulo/SP · view pair in the atlas125use with caution
São Roque/SP · view pair in the atlas55low precision
Osasco/SP · view pair in the atlas45low precision
Votorantim/SP · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Alumínio/SP
DestinationPeoplePrecision
Sorocaba/SP · view pair in the atlas345low precision
Mairinque/SP · view pair in the atlas245low precision
Votorantim/SP · view pair in the atlas160low precision
São Roque/SP · view pair in the atlas75low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth59052.4%100-499
Multi-step migration45040.0%50-99
Return to municipality of birth857.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education32545.5%50-99
No schooling or incomplete elementary15021.0%20-49
Completed higher education14520.3%20-49
Completed elementary, incomplete high school9513.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages34530.8%50-99
½ to 1 minimum wage30026.8%50-99
¼ to ½ minimum wage22019.6%20-49
More than 2 minimum wages20017.9%20-49
Up to ¼ of a minimum wage554.9%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male18016.1%20-49
Ages 25–39, female16014.3%20-49
Ages 40–59, male14012.5%20-49
Ages 15–24, male12010.7%20-49
Ages 40–59, female1109.8%20-49
Ages 15–24, female958.5%5-19
Ages 5–14, female958.5%5-19
Ages 5–14, male908.0%5-19
Ages 60 and over, male756.7%5-19
Ages 60 and over, female554.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration1,00076.9%50-99
Return to municipality of birth21016.2%20-49
First move from municipality of birth906.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education45055.2%20-49
Completed higher education15519.0%5-19
No schooling or incomplete elementary13016.0%5-19
Completed elementary, incomplete high school809.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage57043.8%50-99
1 to 2 minimum wages27521.2%20-49
More than 2 minimum wages24018.5%5-19
Up to ¼ of a minimum wage1209.2%5-19
¼ to ½ minimum wage957.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male27521.2%20-49
Ages 25–39, female24518.8%20-49
Ages 5–14, male15511.9%5-19
Ages 40–59, female13510.4%5-19
Ages 40–59, male1259.6%5-19
Ages 15–24, female1209.2%5-19
Ages 5–14, female1158.8%5-19
Ages 15–24, male957.3%5-19
Other / suppressed352.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education4,88546.3%>=500
No schooling or incomplete elementary2,85527.0%>=500
Completed elementary, incomplete high school1,47013.9%100-499
Completed higher education1,35012.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages5,86536.3%>=500
½ to 1 minimum wage5,07031.4%>=500
More than 2 minimum wages2,29514.2%100-499
¼ to ½ minimum wage2,27014.0%100-499
Up to ¼ of a minimum wage6404.0%100-499
Not applicable (collective dwelling)250.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male2,28015.1%100-499
Ages 40–59, female2,25514.9%100-499
Ages 25–39, female1,84512.2%100-499
Ages 25–39, male1,74011.5%100-499
Ages 60 and over, female1,2958.6%100-499
Ages 15–24, male1,2158.0%100-499
Ages 15–24, female1,1607.7%100-499
Ages 60 and over, male1,1457.6%100-499
Ages 5–14, female1,0857.2%100-499
Ages 5–14, male1,0757.1%100-499

Commuting (work and study)

Commuting indicators for Alumínio/SP
Employed persons (aged 10 and over)7,765
Commute out to work in another municipality1,765
Commute in from another municipality to work here3,825
Net commuting+2,065
Out-commuting rate (%)22.71
Commuting attraction index1.253
Median commuting time40 min

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

Open Alumínio/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]: Alumínio/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/aluminio-sp-3501152/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.