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

Migration in São Rafael/RN (2017–2022)

São Rafael/RN had a reference population (aged 5 or over in 2022) of 7,325 people. In the 2017–2022 five-year period, the municipality received 460 in-migrants and lost 600 out-migrants to other municipalities in Brazil, resulting in a net migration of −140 people (−19.01 per 1,000 population) and a migration effectiveness index (IEM) of −0.132. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Rafael/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants460309 to 611use with caution
Out-migrants600380 to 820use with caution
Net migration−140−406 to 126not classified
Net migration rate, TLM (per 1,000 pop.)−19.01--
Migration effectiveness index (IEM)−0.132--

Sample of in-migrants: 50-99 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 São Rafael/RN
OriginPeoplePrecision
Natal/RN · view pair in the atlas125low precision
Açu/RN · view pair in the atlas45low precision
Angicos/RN · view pair in the atlas45low precision
Santana do Matos/RN · view pair in the atlas25low precision
Caicó/RN · view pair in the atlas25low precision
Top 10 destinations of out-migrants from São Rafael/RN
DestinationPeoplePrecision
Açu/RN · view pair in the atlas125low precision
Itajá/RN · view pair in the atlas50low precision
Jucurutu/RN · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth20043.5%20-49
First move from municipality of birth14531.5%20-49
Multi-step migration11525.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education11038.6%20-49
No schooling or incomplete elementary11038.6%20-49
Completed elementary, incomplete high school5017.5%5-19
Other / suppressed155.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage21045.7%20-49
Up to ¼ of a minimum wage11023.9%20-49
½ to 1 minimum wage7516.3%5-19
1 to 2 minimum wages6514.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female7516.5%5-19
Ages 40–59, female7516.5%5-19
Ages 25–39, male5512.1%5-19
Ages 15–24, male5512.1%5-19
Ages 40–59, male459.9%5-19
Ages 5–14, male459.9%5-19
Ages 15–24, female408.8%5-19
Ages 5–14, female357.7%5-19
Ages 60 and over, male204.4%5-19
Other / suppressed102.2%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration28046.7%20-49
First move from municipality of birth22537.5%20-49
Return to municipality of birth9515.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary22066.7%20-49
Completed high school, incomplete higher education6519.7%5-19
Completed elementary, incomplete high school309.1%5-19
Other / suppressed154.5%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage18030.3%20-49
Up to ¼ of a minimum wage14023.5%20-49
¼ to ½ minimum wage14023.5%5-19
1 to 2 minimum wages9015.1%5-19
Other / suppressed457.6%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female10517.4%5-19
Ages 25–39, female9515.7%5-19
Ages 15–24, male8013.2%5-19
Ages 40–59, male7011.6%5-19
Ages 40–59, female559.1%5-19
Ages 25–39, male457.4%5-19
Ages 5–14, male457.4%5-19
Ages 60 and over, male406.6%5-19
Ages 5–14, female406.6%5-19
Ages 60 and over, female305.0%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,08561.0%>=500
Completed high school, incomplete higher education1,19023.5%100-499
Completed elementary, incomplete high school4759.4%50-99
Completed higher education3106.1%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,59035.7%>=500
¼ to ½ minimum wage2,26531.2%100-499
Up to ¼ of a minimum wage1,61522.3%100-499
1 to 2 minimum wages5657.8%100-499
More than 2 minimum wages2153.0%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,05015.3%100-499
Ages 40–59, female99514.5%100-499
Ages 25–39, male79511.6%100-499
Ages 60 and over, female78511.4%100-499
Ages 25–39, female73010.6%100-499
Ages 60 and over, male70010.2%100-499
Ages 15–24, male5357.8%100-499
Ages 15–24, female4606.7%100-499
Ages 5–14, male4306.3%50-99
Ages 5–14, female3805.5%50-99

Commuting (work and study)

Commuting indicators for São Rafael/RN
Employed persons (aged 10 and over)2,105
Commute out to work in another municipality205
Commute in from another municipality to work here130
Net commuting−80
Out-commuting rate (%)9.85
Commuting attraction index0.951
Median commuting time60 min

Open São Rafael/RN 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]: São Rafael/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-rafael-rn-2412807/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.