Businesses in Daejeon
Hotels & Travel
Restaurants
Automotive
Financial Services
Medical
Beauty & Spas
Community & Government
Industries
Business Distribution by Industry Restaurants: 26%
Shopping: 16.7%
Home Services: 12.7%
Industry: 7.9%
Food: 6.8%
Education: 5.1%
Other: 24.8%
Area of Daejeon | 539.9 km² |
Population | 1.5 million |
Male Population | 731,359 (50.1%) |
Female Population | 728,769 (49.9%) |
Population change from 1975 to 2015 | +65.4% |
Population change from 2000 to 2015 | +14.9% |
Median Age | 35.6 |
Male Median Age | 34.6 |
Female Median Age | 36.7 |
Area Codes | 42 |
Neighborhoods | 관평동, 둔산동, 만년동, 봉명동, 신성동, 용전동, 월평동, 은행동, 전민동, 탄방동 |
Local Time | Saturday 7:06 PM |
Timezone | Korean Standard Time |
Weather | 12.8°C overcast clouds |
Lat & Lng | 36.32139° / 127.41972° |
Postal Codes | 34056, 34302, 34327, 34386, 35223, More |
Daejeon - Map
Daejeon Population
Years 1975 to 2015Data | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Population | 882,959 | 1,146,681 | 1,270,693 | 1,460,125 |
Population Density | 1,635 / km² | 2,124 / km² | 2,353 / km² | 2,704 / km² |
Daejeon Population change from 2000 to 2015
Increase of 14.9% from year 2000 to 2015Location | Change since 1975 | Change since 1990 | Change since 2000 |
---|---|---|---|
Daejeon | +65.4% | +27.3% | +14.9% |
Daejon | +71.2% | +30.7% | +17% |
South Korea | +44% | +16.9% | +9% |
Daejeon Median Age
Median Age: 35.6 yearsLocation | Median Age | Median Age (Female) | Median Age (Male) |
---|---|---|---|
Daejeon | 35.6 years | 36.7 years | 34.6 years |
Daejon | 35.9 years | 37 years | 34.8 years |
South Korea | 38 years | 39.2 years | 36.8 years |
Daejeon Population Tree
Population By Age and GenderAge | Male | Female | Total |
---|---|---|---|
Under 5 | 36,703 | 34,487 | 71,190 |
5-9 | 41,317 | 38,213 | 79,531 |
10-14 | 54,613 | 50,231 | 104,845 |
15-19 | 63,272 | 55,442 | 118,715 |
20-24 | 60,575 | 52,345 | 112,921 |
25-29 | 57,904 | 54,498 | 112,402 |
30-34 | 56,118 | 57,139 | 113,258 |
35-39 | 63,314 | 64,495 | 127,810 |
40-44 | 63,978 | 65,433 | 129,411 |
45-49 | 61,865 | 62,423 | 124,289 |
50-54 | 56,063 | 56,013 | 112,077 |
55-59 | 38,125 | 37,724 | 75,850 |
60-64 | 27,280 | 27,599 | 54,879 |
65-69 | 19,684 | 22,559 | 42,243 |
70-74 | 14,930 | 19,652 | 34,582 |
75-79 | 9,069 | 14,936 | 24,005 |
80-84 | 4,280 | 9,292 | 13,572 |
85 Plus | 2,269 | 6,287 | 8,557 |
Daejeon Population Density
Population Density: 2,704 / km²Location | Population | Area | Population Density |
---|---|---|---|
Daejeon | 1.5 million | 539.9 km² | 2,704 / km² |
Daejon | 1.6 million | 539.6 km² | 2,973 / km² |
South Korea | 48.8 million | 99,452.9 km² | 491.0 / km² |
Daejeon Historical and Projected Population
Estimated Population from 1600 to 2100Sources:
1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
2. CIESIN (Center for International Earth Science Information Network)
3. [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.
Business distribution by price for Daejeon
Moderate: 53.9%
Inexpensive: 41.7%
Expensive: 3.9%
Very Expensive: 0.5%
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.Sources: [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
Daejeon CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per YearLocation | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
---|---|---|---|
Daejeon | 20,332,474 t | 13.9 t | 37,663 t/km² |
Daejon | 22,916,732 t | 14.3 t | 42,467 t/km² |
South Korea | 595,864,161 t | 12.2 t | 5,991 t/km² |
Daejeon CO2 Emissions
2013 CO2 emissions (tonnes/year) | 20,332,474 t |
2013 CO2 emissions (tonnes/year) per capita | 13.9 t |
2013 CO2 emissions intensity (tonnes/km²/year) | 37,663 t/km² |
Natural Hazards Risk
Relative risk out of 10Cyclone | High (8) |
Drought | Low (2) |
Flood | High (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources: 1. 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.
2. 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.
3. 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.
4. 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.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk. See here for more information.