Categories in Gunsan
Auto glassAuto Parts StoreBody repairCar Accessories StoreCar Polishing ServiceCar rentalCar repairCar Repair and MaintenanceCar Stereo StoreCar WashGas StationMotorcycle DealerMotorcycle repairNew car dealersOil Change ServiceSelf Service Car WashTire ShopUsed car dealersAlcoholic Beverage WholesalerAudio Visual Equipment SupplierAuto parts manufacturerBoat BuildersBottled Water SupplierBuilding Materials SupplierChemical PlantCoal supplierCommercial PrinterConcrete Product SupplierContainer ManufacturerCosmetics IndustryDressmakerElectrical Material IndustryEquipment supplierFactory Equipment SupplierFarm Equipment SupplierFarmers CooperativeFarmingFire Protection Equipment SupplierFuel supplierFurniture MakerGeneral chemical wholesaleHandicraftIce SupplierImport Export CompanyIndustrial & Construction ManufacturingIndustrial Equipment SupplierIndustrial Gas SupplierLumber StoreMachine Accessories ManufacturerMachinery Parts Manufacturer
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Industries
Business Distribution by Industry in Gunsan
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 3,777 |
| Real estate | 1,359 |
| Shopping | 1,170 |
| Unreachable | 983 |
| Grocery stores and supermarkets | 785 |
| Beauty salons | 588 |
| Cafes | 561 |
| Religion | 494 |
Gunsan Facts
| Area | 52.0 km² |
| Population | 149,555 |
| Male Population | 75,788 (50.7%) |
| Female Population | 73,767 (49.3%) |
| Population change (1975 to 2020) | +38.8% |
| Population change (2000 to 2020) | +6.7% |
| Median Age | 38.6 years (Male: 37.1, Female: 40.3) |
| GDP per capita (PPP) | $66,374 (2022) |
| Neighborhoods | 나운동, 수송동, Yeok sam 1 dong, 사정동, 산곡리 |
| Local Time | |
| Timezone | Korean Standard Time |
| Lat & Lng | 35.97861, 126.71139 |
| Postal Codes | 33676, 54005, 54142, 54174, 54175, More |
Map of Gunsan
Interactive Map
Gunsan Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 107,759 | 148,259 | 140,132 | 125,905 | 149,555 | 140,441 | 132,688 |
| Population Density | 2,072.3 / km² | 2,851.1 / km² | 2,694.8 / km² | 2,421.3 / km² | 2,876.1 / km² | 2,700.8 / km² | 2,551.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridGunsan Population change from 2000 to 2020
Increase of 6.7% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Gunsan | +38.8% | +0.9% | +6.7% |
| North Jeolla Province | — | — | — |
| South Korea | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Gunsan Median Age
Median Age: 38.6 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Gunsan | 38.6 yrs | 40.3 yrs | 37.1 yrs |
| North Jeolla Province | 40.6 yrs | 42.5 yrs | 38.6 yrs |
| South Korea | 38 yrs | 39.2 yrs | 36.8 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Gunsan Population Density
Population Density: 2,876 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Gunsan | 149,555 | 52 km² | 2,876 / km² |
| North Jeolla Province | 1.7 million | 7,921.5 km² | 211 / km² |
| South Korea | 48.8 million | 99,452.9 km² | 491 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Gunsan Historical and Projected Population
Estimated Population from 1720 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Neighborhoods in Gunsan
Percentage of businesses by neighborhood in Gunsan
Price Distribution
Business distribution by price for Gunsan
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Gunsan Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $7,734 | $14,765 | $25,046 | $35,653 | $50,759 | $50,292 | $59,212 | $66,374 |
| Total GDP | $162.9M | $306.1M | $500.3M | $648.4M | $843.4M | $865.2M | $983.6M | $1.1B |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Gunsan CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Gunsan | 1,759,383 tn | 11.76 tn | 33,834.3 tons/km² |
| North Jeolla Province | 19,217,198 tn | 11.49 tn | 2,426 tons/km² |
| South Korea | 595,864,161 tn | 12.2 tn | 5,991.4 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Gunsan CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 1,759,383 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 11.76 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 33,834.3 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (8) |
| Cyclone | High (9) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 12/21/15 | 7:31 PM | 4.4 | 24.3 km | 10,000 m | 11km N of Iksan, South Korea | usgs.gov |
Source: U.S. Geological Survey (USGS)
Gunsan
Gunsan is a city in North Jeolla Province, South Korea. It is on the south bank of the Geum River just upstream from its exit into the Yellow Sea. It has emerged as a high-tech manufacturing industrial city and an international trade seaport that is ..
Gunsan Wikipedia Page
About Our Data
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