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

Migration in Monte Alegre do Sul/SP (2017–2022)

Monte Alegre do Sul/SP had a reference population (aged 5 or over in 2022) of 8,225 people. In the 2017–2022 five-year period, the municipality received 1,025 in-migrants and lost 295 out-migrants to other municipalities in Brazil, resulting in a net migration of +730 people (88.95 per 1,000 population) and a migration effectiveness index (IEM) of 0.555. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Monte Alegre do Sul/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,025779 to 1,271good
Out-migrants295170 to 420use with caution
Net migration+730454 to 1,006not classified
Net migration rate, TLM (per 1,000 pop.)88.95--
Migration effectiveness index (IEM)0.555--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Monte Alegre do Sul/SP
OriginPeoplePrecision
Amparo/SP · view pair in the atlas200use with caution
São Paulo/SP · view pair in the atlas195use with caution
Campinas/SP · view pair in the atlas55low precision
Socorro/SP · view pair in the atlas50low precision
Serra Negra/SP · view pair in the atlas40low precision
Top 10 destinations of out-migrants from Monte Alegre do Sul/SP
DestinationPeoplePrecision
Amparo/SP · view pair in the atlas105low precision
Tuiuti/SP · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration49047.8%50-99
First move from municipality of birth46044.9%50-99
Return to municipality of birth656.3%5-19
Other / suppressed101.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education30039.2%50-99
No schooling or incomplete elementary17522.9%20-49
Completed higher education15520.3%20-49
Completed elementary, incomplete high school13517.6%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages34533.8%50-99
1 to 2 minimum wages26025.5%20-49
½ to 1 minimum wage24524.0%20-49
¼ to ½ minimum wage11010.8%20-49
Up to ¼ of a minimum wage605.9%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female17016.6%20-49
Ages 60 and over, male14013.7%20-49
Ages 25–39, male13513.2%20-49
Ages 60 and over, female13012.7%20-49
Ages 40–59, female11511.2%20-49
Ages 5–14, female757.3%5-19
Ages 40–59, male757.3%5-19
Ages 15–24, male706.8%5-19
Ages 5–14, male605.9%5-19
Ages 15–24, female555.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration21071.2%20-49
First move from municipality of birth5016.9%5-19
Other / suppressed3511.9%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education11052.4%5-19
No schooling or incomplete elementary5023.8%5-19
Completed higher education4521.4%5-19
Other / suppressed52.4%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages15050.8%20-49
More than 2 minimum wages8027.1%5-19
Other / suppressed6522.0%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed11036.7%5-19
Ages 40–59, male6521.7%5-19
Ages 40–59, female4515.0%5-19
Ages 15–24, male4013.3%5-19
Ages 25–39, female4013.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,03036.6%100-499
Completed high school, incomplete higher education2,01536.4%100-499
Completed higher education85515.4%100-499
Completed elementary, incomplete high school64011.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages2,90538.3%>=500
½ to 1 minimum wage2,36531.2%100-499
More than 2 minimum wages1,44519.0%100-499
¼ to ½ minimum wage7209.5%100-499
Up to ¼ of a minimum wage1502.0%20-49
Other / suppressed50.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,15016.0%100-499
Ages 40–59, female1,13515.8%100-499
Ages 60 and over, female93012.9%100-499
Ages 60 and over, male83011.6%100-499
Ages 25–39, male76010.6%100-499
Ages 25–39, female73010.2%100-499
Ages 5–14, male4406.1%50-99
Ages 15–24, male4205.8%50-99
Ages 15–24, female4205.8%50-99
Ages 5–14, female3705.1%50-99

Commuting (work and study)

Commuting indicators for Monte Alegre do Sul/SP
Employed persons (aged 10 and over)4,530
Commute out to work in another municipality1,105
Commute in from another municipality to work here265
Net commuting−840
Out-commuting rate (%)24.43
Commuting attraction index0.657
Median commuting time30 min

Open Monte Alegre do Sul/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]: Monte Alegre do Sul/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/monte-alegre-do-sul-sp-3531209/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.