Skip to content
Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Rio Claro/RJ (2017–2022)

Rio Claro/RJ had a reference population (aged 5 or over in 2022) of 16,515 people. In the 2017–2022 five-year period, the municipality received 960 in-migrants and lost 985 out-migrants to other municipalities in Brazil, resulting in a net migration of −30 people (−1.75 per 1,000 population) and a migration effectiveness index (IEM) of −0.015. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Rio Claro/RJ, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants960736 to 1,184good
Out-migrants985686 to 1,284use with caution
Net migration−30−403 to 343not classified
Net migration rate, TLM (per 1,000 pop.)−1.75--
Migration effectiveness index (IEM)−0.015--

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 Rio Claro/RJ
OriginPeoplePrecision
Angra dos Reis/RJ · view pair in the atlas275use with caution
Barra Mansa/RJ · view pair in the atlas255use with caution
Rio de Janeiro/RJ · view pair in the atlas110low precision
Volta Redonda/RJ · view pair in the atlas40low precision
Bananal/SP · view pair in the atlas25low precision
São Paulo/SP · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Rio Claro/RJ
DestinationPeoplePrecision
Angra dos Reis/RJ · view pair in the atlas210low precision
Piraí/RJ · view pair in the atlas190low precision
Volta Redonda/RJ · view pair in the atlas115low precision
Barra Mansa/RJ · view pair in the atlas60low precision
Bananal/SP · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth46047.9%50-99
Multi-step migration27028.1%20-49
Return to municipality of birth23024.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education25036.2%20-49
No schooling or incomplete elementary18026.1%20-49
Completed higher education16523.9%20-49
Completed elementary, incomplete high school9513.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages27028.3%50-99
½ to 1 minimum wage21022.0%20-49
More than 2 minimum wages17518.3%20-49
Up to ¼ of a minimum wage15516.2%20-49
¼ to ½ minimum wage14515.2%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, female14515.0%20-49
Ages 25–39, male14014.5%20-49
Ages 40–59, female12513.0%20-49
Ages 40–59, male12012.4%20-49
Ages 5–14, male10010.4%5-19
Ages 60 and over, female959.8%20-49
Ages 15–24, female656.7%5-19
Ages 60 and over, male656.7%5-19
Ages 15–24, male555.7%5-19
Ages 5–14, female555.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration40541.1%20-49
First move from municipality of birth40040.6%20-49
Return to municipality of birth18018.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education23537.3%20-49
No schooling or incomplete elementary20532.5%20-49
Completed higher education10516.7%5-19
Completed elementary, incomplete high school8513.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages32533.0%20-49
½ to 1 minimum wage26026.4%20-49
¼ to ½ minimum wage21021.3%20-49
More than 2 minimum wages17517.8%5-19
Other / suppressed151.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female17017.3%5-19
Ages 40–59, female15515.7%5-19
Ages 5–14, female12512.7%5-19
Ages 40–59, male12012.2%5-19
Ages 15–24, male10010.2%5-19
Ages 15–24, female858.6%5-19
Ages 60 and over, female757.6%5-19
Ages 25–39, male757.6%5-19
Ages 5–14, male454.6%5-19
Ages 60 and over, male353.6%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,34047.4%>=500
Completed high school, incomplete higher education3,21528.6%>=500
Completed elementary, incomplete high school1,48013.1%100-499
Completed higher education1,22010.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,68534.6%>=500
1 to 2 minimum wages4,24525.8%>=500
¼ to ½ minimum wage3,47021.1%>=500
More than 2 minimum wages1,5159.2%100-499
Up to ¼ of a minimum wage1,5059.2%100-499
Other / suppressed100.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,51016.1%>=500
Ages 40–59, male2,31014.9%100-499
Ages 60 and over, female1,69510.9%100-499
Ages 60 and over, male1,64510.6%100-499
Ages 25–39, female1,63010.5%100-499
Ages 25–39, male1,4659.4%100-499
Ages 15–24, male1,2107.8%100-499
Ages 15–24, female1,1007.1%100-499
Ages 5–14, female1,0506.8%100-499
Ages 5–14, male9306.0%100-499

Commuting (work and study)

Commuting indicators for Rio Claro/RJ
Employed persons (aged 10 and over)6,900
Commute out to work in another municipality1,185
Commute in from another municipality to work here280
Net commuting−910
Out-commuting rate (%)17.21
Commuting attraction index0.830
Median commuting time60 min

Open Rio Claro/RJ 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]: Rio Claro/RJ. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/rio-claro-rj-3304409/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.