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

Migration in Mariápolis/SP (2017–2022)

Mariápolis/SP had a reference population (aged 5 or over in 2022) of 3,325 people. In the 2017–2022 five-year period, the municipality received 350 in-migrants and lost 300 out-migrants to other municipalities in Brazil, resulting in a net migration of +50 people (14.90 per 1,000 population) and a migration effectiveness index (IEM) of 0.076. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Mariápolis/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants350260 to 440good
Out-migrants300166 to 434use with caution
Net migration+50−111 to 211not classified
Net migration rate, TLM (per 1,000 pop.)14.90--
Migration effectiveness index (IEM)0.076--

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 Mariápolis/SP
OriginPeoplePrecision
Adamantina/SP · view pair in the atlas75low precision
Santo André/SP · view pair in the atlas30low precision
Flórida Paulista/SP · view pair in the atlas25low precision
São Paulo/SP · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Mariápolis/SP
DestinationPeoplePrecision
Adamantina/SP · view pair in the atlas100low precision
Caiabu/SP · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration15042.9%50-99
First move from municipality of birth11532.9%20-49
Return to municipality of birth8524.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education7532.6%20-49
No schooling or incomplete elementary7030.4%20-49
Completed elementary, incomplete high school5021.7%5-19
Completed higher education3515.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage13037.1%20-49
1 to 2 minimum wages10530.0%20-49
Up to ¼ of a minimum wage4512.9%5-19
More than 2 minimum wages3510.0%5-19
¼ to ½ minimum wage3510.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female5014.3%5-19
Ages 25–39, female4512.9%5-19
Ages 40–59, male4512.9%5-19
Ages 15–24, female4011.4%5-19
Ages 60 and over, female3510.0%5-19
Ages 15–24, male3510.0%5-19
Ages 25–39, male308.6%5-19
Ages 60 and over, male257.1%5-19
Ages 5–14, male257.1%5-19
Ages 5–14, female205.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration18060.0%20-49
Return to municipality of birth6020.0%5-19
First move from municipality of birth6020.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8534.7%5-19
Completed higher education6526.5%5-19
Completed high school, incomplete higher education5522.4%5-19
Completed elementary, incomplete high school4016.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages10534.4%5-19
½ to 1 minimum wage8527.9%5-19
¼ to ½ minimum wage6521.3%5-19
Up to ¼ of a minimum wage4013.1%5-19
Other / suppressed103.3%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed19062.3%20-49
Ages 25–39, male7524.6%5-19
Ages 25–39, female4013.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary90039.6%100-499
Completed high school, incomplete higher education77033.9%100-499
Completed elementary, incomplete high school31013.7%100-499
Completed higher education29012.8%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,12535.6%100-499
1 to 2 minimum wages1,04032.9%100-499
¼ to ½ minimum wage52016.5%100-499
More than 2 minimum wages3109.8%50-99
Up to ¼ of a minimum wage1655.2%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female45515.3%100-499
Ages 40–59, male43514.6%100-499
Ages 60 and over, male37012.4%100-499
Ages 60 and over, female37012.4%100-499
Ages 25–39, male33011.1%100-499
Ages 25–39, female31510.6%100-499
Ages 5–14, male1856.2%50-99
Ages 15–24, male1806.1%50-99
Ages 5–14, female1755.9%50-99
Ages 15–24, female1605.4%50-99

Commuting (work and study)

Commuting indicators for Mariápolis/SP
Employed persons (aged 10 and over)1,620
Commute out to work in another municipality580
Commute in from another municipality to work here20
Net commuting−555
Out-commuting rate (%)35.75
Commuting attraction index0.624
Median commuting time40 min

Open Mariápolis/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]: Mariápolis/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mariapolis-sp-3528908/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.