Population by citizenship - Cities and FUAs in Gumi

Gumi: Population by citizenship - Cities and FUAs was 4 Percentage of population in 2023. β–² Rising

Latest (2023)
4 Percentage of population
Change on year
up 14.3%
Rank
418th
of 536 regions
All-time high
4 Percentage of population
in 2023
All-time low
3.2 Percentage of population
in 2021
Years of data
8
2016–2023

Population by citizenship - Cities and FUAs in Gumi, 2016–2023

012342016201920232016: 3.4 Percentage of population2017: 3.4 Percentage of population2018: 3.4 Percentage of population2019: 3.6 Percentage of population2020: 3.4 Percentage of population2021: 3.2 Percentage of population2022: 3.5 Percentage of population2023: 4 Percentage of population

Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population.

Analysis

In 2023, population by citizenship - cities and fuas in Gumi stood at 4 Percentage of population. That is the highest value across all 8 years on record.

Compared with earlier readings it is up 14.3% on the previous year and up 17.6% over ten years.

That places Gumi 418th out of 536 regions with data for 2023, putting it in the bottom quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 3.45 Percentage of population 3.4 Percentage of population 3.6 Percentage of population 4
2020s 3.52 Percentage of population 3.2 Percentage of population 4 Percentage of population 4

More population data for Gumi

All data for Gumi β†’

Frequently asked questions

What is population by citizenship - cities and fuas in Gumi?
Population by citizenship - cities and fuas in Gumi was 4 Percentage of population in 2023, according to Organisation for Economic Co-operation and Development.
What is the highest population by citizenship - cities and fuas recorded in Gumi?
The highest recorded value was 4 Percentage of population in 2023.
What is the lowest population by citizenship - cities and fuas recorded in Gumi?
The lowest recorded value was 3.2 Percentage of population in 2021.
How does Gumi rank for population by citizenship - cities and fuas?
Gumi ranks 418th out of 536 regions with data for 2023.
Is population by citizenship - cities and fuas rising or falling in Gumi?
Over the last ten years it is up 17.6%. The long-run trend across the full record is rising.
Where does this Gumi data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Population by citizenship - Cities and FUAs. Statizoid updates them automatically from the source API.

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Population by citizenship - Cities and FUAs in Gumi. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 August 2026, from https://population.statizoid.com/stat/population-by-citizenship-cities-and-fuas/gumi/

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About this data

Indicator
Population by citizenship - Cities and FUAs
Unit
Percentage of population
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
536 places, 10,252 data points, 2000–2025
Last refreshed

<p align="justify">This dataset provides population counts by citizenship in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by citizenship data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>),Β <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>