Categories in Paju
Industries
Business Distribution by Industry in Paju
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 4,099 |
| Unreachable | 2,065 |
| Real estate | 1,620 |
| Shopping | 1,423 |
| Cafes | 863 |
| Grocery stores and supermarkets | 687 |
Paju Facts
| Area | 6.3 km² |
| Population | 12,078 |
| Male Population | 6,098 (50.5%) |
| Female Population | 5,980 (49.5%) |
| Population change (1975 to 2020) | +878.8% |
| Population change (2000 to 2020) | +128.4% |
| Median Age | 36.7 years (Male: 35.8, Female: 37.5) |
| Area Codes | 31 |
| Neighborhoods | I tae won 2 dong, 당동리, 문산읍, 서패동, Myeong dong |
| Local Time | |
| Timezone | Korean Standard Time |
| Lat & Lng | 37.83278, 126.81694 |
| Postal Codes | 10805, 10866, 10870, 10871, 10873, More |
Map of Paju
Interactive Map
Paju Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 1,234 | 3,715 | 5,289 | 12,195 | 12,078 | 13,434 | 14,034 |
| Population Density | 197.4 / km² | 594.4 / km² | 846.2 / km² | 1,951.2 / km² | 1,932.5 / km² | 2,149.4 / km² | 2,245.4 / km² |
Paju Population change from 2000 to 2020
Increase of 128.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Paju | +878.8% | +225.1% | +128.4% |
| Gyeonggi Province | — | — | — |
| South Korea | — | — | — |
Paju Median Age
Median Age: 36.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Paju | 36.7 yrs | 37.5 yrs | 35.8 yrs |
| Gyeonggi Province | 36.5 yrs | 37.2 yrs | 35.8 yrs |
| South Korea | 38 yrs | 39.2 yrs | 36.8 yrs |
Paju Population Density
Population Density: 1,933 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Paju | 12,078 | 6.3 km² | 1,933 / km² |
| Gyeonggi Province | 12.8 million | 10,076.9 km² | 1,275 / km² |
| South Korea | 48.8 million | 99,452.9 km² | 491 / km² |
Paju Historical and Projected Population
Estimated Population from 1740 to 2100
- 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 Paju
Percentage of businesses by neighborhood in Paju
Area Codes
Percentage Area Codes used by businesses in Paju
Price Distribution
Business distribution by price for Paju
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Paju CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Paju | 155,260 tn | 12.85 tn | 24,841.6 tons/km² |
| Gyeonggi Province | 161,879,219 tn | 12.6 tn | 16,064.4 tons/km² |
| South Korea | 595,864,161 tn | 12.2 tn | 5,991.4 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 155,260 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 12.85 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 24,841.6 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.
- 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 |
|---|---|---|---|---|---|---|
| 5/22/89 | 5:59 AM | 4.1 | 80.8 km | 33,000 m | North Korea | usgs.gov |
| 6/24/85 | 9:40 PM | 4 | 60.5 km | 33,000 m | South Korea | usgs.gov |
Paju
Paju is a city in Gyeonggi Province, South Korea. Paju was made a city in 1997; it had previously been a county (gun). city is located just south of Panmunjeom on the 38th parallel. To defend the Korean capital, Seoul, many US and Korean army bases ..
Paju Wikipedia Page
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.

