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

Migration in Serrinha/RN (2017–2022)

Serrinha/RN had a reference population (aged 5 or over in 2022) of 6,055 people. In the 2017–2022 five-year period, the municipality received 440 in-migrants and lost 660 out-migrants to other municipalities in Brazil, resulting in a net migration of −225 people (−36.91 per 1,000 population) and a migration effectiveness index (IEM) of −0.203. 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 Serrinha/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants440337 to 543good
Out-migrants660377 to 943use with caution
Net migration−225−526 to 76not classified
Net migration rate, TLM (per 1,000 pop.)−36.91--
Migration effectiveness index (IEM)−0.203--

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 Serrinha/RN
OriginPeoplePrecision
Santo Antônio/RN · view pair in the atlas80use with caution
Natal/RN · view pair in the atlas70use with caution
Lagoa de Pedras/RN · view pair in the atlas45low precision
Rio de Janeiro/RJ · view pair in the atlas35low precision
Parnamirim/RN · view pair in the atlas30low precision
Januário Cicco/RN · view pair in the atlas20low precision
Espírito Santo/RN · view pair in the atlas20low precision
Nova Cruz/RN · view pair in the atlas15low precision
São Paulo/SP · view pair in the atlas15low precision
São José do Campestre/RN · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Serrinha/RN
DestinationPeoplePrecision
Santo Antônio/RN · view pair in the atlas90low precision
Parnamirim/RN · view pair in the atlas85low precision
Januário Cicco/RN · view pair in the atlas30low precision
Lagoa de Pedras/RN · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth23052.9%50-99
Multi-step migration11526.4%20-49
Return to municipality of birth9020.7%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11543.4%20-49
Completed high school, incomplete higher education10037.7%20-49
Completed elementary, incomplete high school3513.2%5-19
Other / suppressed155.7%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage14031.8%20-49
Up to ¼ of a minimum wage14031.8%20-49
½ to 1 minimum wage10523.9%20-49
1 to 2 minimum wages409.1%5-19
Other / suppressed153.4%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female8018.4%20-49
Ages 25–39, male5512.6%5-19
Ages 40–59, male5512.6%5-19
Ages 5–14, male5512.6%5-19
Ages 15–24, male5011.5%5-19
Ages 5–14, female409.2%5-19
Ages 40–59, female358.0%5-19
Ages 15–24, female306.9%5-19
Ages 60 and over, female204.6%5-19
Ages 60 and over, male153.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration28042.4%20-49
First move from municipality of birth26039.4%20-49
Return to municipality of birth12018.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18040.4%20-49
Completed high school, incomplete higher education11024.7%5-19
Completed elementary, incomplete high school10022.5%5-19
Other / suppressed5512.4%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21031.8%5-19
1 to 2 minimum wages17025.8%5-19
¼ to ½ minimum wage14021.2%5-19
Up to ¼ of a minimum wage11016.7%20-49
Other / suppressed304.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male11517.3%5-19
Ages 60 and over, female10015.0%5-19
Ages 15–24, female9514.3%5-19
Ages 40–59, male8512.8%5-19
Ages 25–39, female8012.0%5-19
Ages 15–24, male659.8%5-19
Other / suppressed507.5%<5
Ages 40–59, female507.5%5-19
Ages 5–14, female253.8%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,40562.6%>=500
Completed high school, incomplete higher education89523.3%100-499
Completed elementary, incomplete high school3459.0%100-499
Completed higher education1955.1%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,92032.0%>=500
¼ to ½ minimum wage1,84030.7%>=500
Up to ¼ of a minimum wage1,68528.1%>=500
1 to 2 minimum wages4507.5%100-499
More than 2 minimum wages1001.7%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male78514.0%100-499
Ages 40–59, female77513.8%100-499
Ages 25–39, male67512.0%100-499
Ages 25–39, female61511.0%100-499
Ages 60 and over, female5209.3%100-499
Ages 15–24, male5109.1%100-499
Ages 60 and over, male4758.5%100-499
Ages 15–24, female4658.3%100-499
Ages 5–14, male3957.0%100-499
Ages 5–14, female3957.0%100-499

Commuting (work and study)

Commuting indicators for Serrinha/RN
Employed persons (aged 10 and over)1,720
Commute out to work in another municipality330
Commute in from another municipality to work here170
Net commuting−165
Out-commuting rate (%)19.32
Commuting attraction index0.887
Median commuting time60 min

Open Serrinha/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]: Serrinha/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/serrinha-rn-2413508/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.