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

Migration in Ribeirão do Sul/SP (2017–2022)

Ribeirão do Sul/SP had a reference population (aged 5 or over in 2022) of 4,415 people. In the 2017–2022 five-year period, the municipality received 310 in-migrants and lost 410 out-migrants to other municipalities in Brazil, resulting in a net migration of −100 people (−22.46 per 1,000 population) and a migration effectiveness index (IEM) of −0.138. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Ribeirão do Sul/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants310222 to 398good
Out-migrants410260 to 560use with caution
Net migration−100−274 to 74not classified
Net migration rate, TLM (per 1,000 pop.)−22.46--
Migration effectiveness index (IEM)−0.138--

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 Ribeirão do Sul/SP
OriginPeoplePrecision
Ourinhos/SP · view pair in the atlas45low precision
São Paulo/SP · view pair in the atlas25low precision
São Pedro do Turvo/SP · view pair in the atlas25low precision
Assis/SP · view pair in the atlas20low precision
Palmital/SP · view pair in the atlas15low precision
Salto Grande/SP · view pair in the atlas15low precision
Campos Novos Paulista/SP · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Ribeirão do Sul/SP
DestinationPeoplePrecision
Ourinhos/SP · view pair in the atlas145low precision
Salto Grande/SP · view pair in the atlas40low precision
Canitar/SP · view pair in the atlas30low precision
Campos Novos Paulista/SP · view pair in the atlas30low precision
São Pedro do Turvo/SP · view pair in the atlas30low precision
Ibirarema/SP · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth13042.6%20-49
Multi-step migration13042.6%20-49
Return to municipality of birth4514.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7029.2%20-49
Completed high school, incomplete higher education6527.1%20-49
Completed higher education5522.9%5-19
Completed elementary, incomplete high school5020.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages9029.0%20-49
¼ to ½ minimum wage8527.4%20-49
½ to 1 minimum wage8527.4%20-49
More than 2 minimum wages3511.3%5-19
Up to ¼ of a minimum wage154.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male6019.7%5-19
Ages 25–39, female5016.4%5-19
Ages 40–59, female4514.8%5-19
Ages 25–39, male4514.8%5-19
Ages 5–14, female206.6%5-19
Ages 15–24, female206.6%5-19
Ages 15–24, male206.6%5-19
Ages 60 and over, male154.9%5-19
Ages 5–14, male154.9%5-19
Ages 60 and over, female154.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration28068.3%20-49
First move from municipality of birth7518.3%5-19
Return to municipality of birth5513.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education12548.1%20-49
No schooling or incomplete elementary9034.6%5-19
Completed higher education4015.4%5-19
Other / suppressed51.9%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages17542.7%20-49
½ to 1 minimum wage9022.0%20-49
More than 2 minimum wages7017.1%5-19
¼ to ½ minimum wage4511.0%5-19
Other / suppressed307.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female9022.2%5-19
Ages 25–39, male7017.3%5-19
Ages 40–59, male5513.6%5-19
Ages 25–39, female409.9%5-19
Ages 60 and over, female409.9%5-19
Ages 60 and over, male358.6%5-19
Other / suppressed358.6%5-19
Ages 5–14, female256.2%5-19
Ages 5–14, male153.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,39545.4%100-499
Completed high school, incomplete higher education75024.4%100-499
Completed higher education52016.9%100-499
Completed elementary, incomplete high school41013.3%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,78040.8%>=500
1 to 2 minimum wages98022.5%100-499
¼ to ½ minimum wage77517.8%100-499
More than 2 minimum wages60513.9%100-499
Up to ¼ of a minimum wage2205.0%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female64015.6%100-499
Ages 40–59, male59514.5%100-499
Ages 60 and over, male51512.6%100-499
Ages 60 and over, female50512.3%100-499
Ages 25–39, female41510.1%100-499
Ages 25–39, male4009.8%100-499
Ages 15–24, male2756.7%50-99
Ages 5–14, male2656.5%50-99
Ages 15–24, female2506.1%50-99
Ages 5–14, female2355.7%50-99

Commuting (work and study)

Commuting indicators for Ribeirão do Sul/SP
Employed persons (aged 10 and over)2,085
Commute out to work in another municipality370
Commute in from another municipality to work here155
Net commuting−220
Out-commuting rate (%)17.83
Commuting attraction index0.893
Median commuting time30 min

Open Ribeirão 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]: Ribeirão 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/ribeirao-do-sul-sp-3543204/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.