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

Migration in Ielmo Marinho/RN (2017–2022)

Ielmo Marinho/RN had a reference population (aged 5 or over in 2022) of 10,850 people. In the 2017–2022 five-year period, the municipality received 515 in-migrants and lost 855 out-migrants to other municipalities in Brazil, resulting in a net migration of −340 people (−31.47 per 1,000 population) and a migration effectiveness index (IEM) of −0.249. 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 Ielmo Marinho/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants515371 to 659good
Out-migrants855563 to 1,147use with caution
Net migration−340−666 to −14not classified
Net migration rate, TLM (per 1,000 pop.)−31.47--
Migration effectiveness index (IEM)−0.249--

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 Ielmo Marinho/RN
OriginPeoplePrecision
Natal/RN · view pair in the atlas165use with caution
Ceará-Mirim/RN · view pair in the atlas60low precision
Macaíba/RN · view pair in the atlas35low precision
Extremoz/RN · view pair in the atlas30low precision
Taipu/RN · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Ielmo Marinho/RN
DestinationPeoplePrecision
Ceará-Mirim/RN · view pair in the atlas270low precision
Natal/RN · view pair in the atlas155low precision
São Gonçalo do Amarante/RN · view pair in the atlas110low precision
Parnamirim/RN · view pair in the atlas70low precision
Santa Maria/RN · view pair in the atlas50low precision
Macaíba/RN · view pair in the atlas50low precision
Taipu/RN · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth24046.6%20-49
Return to municipality of birth14528.2%20-49
Multi-step migration13025.2%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18059.0%20-49
Completed high school, incomplete higher education7023.0%5-19
Completed elementary, incomplete high school4514.8%5-19
Other / suppressed103.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage16031.1%20-49
¼ to ½ minimum wage14528.2%20-49
½ to 1 minimum wage14027.2%20-49
More than 2 minimum wages356.8%5-19
1 to 2 minimum wages356.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 5–14, male7013.6%5-19
Ages 15–24, female6512.6%5-19
Ages 25–39, female6512.6%5-19
Ages 60 and over, male6011.7%5-19
Ages 40–59, male5510.7%5-19
Ages 25–39, male5510.7%5-19
Ages 15–24, male458.7%5-19
Ages 40–59, female458.7%5-19
Ages 60 and over, female305.8%5-19
Ages 5–14, female254.9%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration37043.0%20-49
First move from municipality of birth30034.9%20-49
Return to municipality of birth19022.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary25054.9%20-49
Completed high school, incomplete higher education10523.1%5-19
Completed higher education7516.5%5-19
Other / suppressed255.5%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage22526.3%20-49
½ to 1 minimum wage18521.6%20-49
Up to ¼ of a minimum wage15518.1%5-19
1 to 2 minimum wages15017.5%20-49
More than 2 minimum wages14016.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female17020.0%5-19
Ages 15–24, male13515.9%5-19
Ages 25–39, female11513.5%5-19
Ages 40–59, male11513.5%5-19
Ages 25–39, male10011.8%5-19
Other / suppressed708.2%5-19
Ages 40–59, female556.5%5-19
Ages 5–14, female556.5%5-19
Ages 60 and over, male354.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,55067.4%>=500
Completed high school, incomplete higher education1,12516.7%100-499
Completed elementary, incomplete high school87012.9%100-499
Completed higher education2053.0%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage4,11037.0%>=500
¼ to ½ minimum wage3,22529.1%>=500
½ to 1 minimum wage2,93026.4%>=500
1 to 2 minimum wages6505.9%100-499
More than 2 minimum wages1801.6%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,42513.8%100-499
Ages 40–59, female1,36013.2%100-499
Ages 25–39, female1,23011.9%100-499
Ages 25–39, male1,21011.7%100-499
Ages 15–24, male1,0209.9%100-499
Ages 15–24, female8858.6%100-499
Ages 5–14, female8458.2%100-499
Ages 5–14, male8358.1%100-499
Ages 60 and over, male7707.5%100-499
Ages 60 and over, female7507.3%100-499

Commuting (work and study)

Commuting indicators for Ielmo Marinho/RN
Employed persons (aged 10 and over)2,900
Commute out to work in another municipality640
Commute in from another municipality to work here195
Net commuting−445
Out-commuting rate (%)22.15
Commuting attraction index0.824
Median commuting time60 min

This municipality is part of Região Metropolitana de Natal → see the metropolitan region page

Open Ielmo Marinho/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]: Ielmo Marinho/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ielmo-marinho-rn-2404606/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.