Industries
Business Distribution by Industry in Soo Shi
| Industry Description | Number of Establishments |
|---|---|
| Gas station | 20 |
| Shopping | 11 |
| Hospitals | 11 |
| Restaurants | 10 |
| Construction of buildings | 9 |
| Automotive | 9 |
| Public administration | 9 |
| Buses and trains | 9 |
| Education | 8 |
| Hairdressers | 8 |
| All membership organizations | 7 |
| Grocery stores and supermarkets | 6 |
| All food and beverage | 6 |
Soo Shi Facts
| Area | 391.8 km² |
| Population | 37,881 |
| Male Population | 17,664 (46.6%) |
| Female Population | 20,217 (53.4%) |
| Population change (1975 to 2020) | -8.0% |
| Population change (2000 to 2020) | -7.2% |
| Median Age | 55.4 years (Male: 53.6, Female: 57.1) |
| GDP per capita (PPP) | $20,305 (2022) |
| Neighborhoods | Osumicho Iwagawa, Sueyoshicho Ninokata, Sueyoshicho Suwakata, Sueyoshicho Minaminogo, Takarabecho Minamimata |
| Local Time | |
| Timezone | Japan Standard Time |
| Lat & Lng | 31.65615, 130.97470 |
| Postal Codes | 899 |
Map of Soo Shi
Interactive Map
Soo Shi Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 41,180 | 41,967 | 40,812 | 37,621 | 37,881 | 37,559 | 36,948 |
| Population Density | 105.1 / km² | 107.1 / km² | 104.2 / km² | 96 / km² | 96.7 / km² | 95.9 / km² | 94.3 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridSoo Shi Population change from 2000 to 2020
Decrease of 7.2% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Soo Shi | -8% | -9.7% | -7.2% |
| Kagoshima Prefecture | — | — | — |
| Japan | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Soo Shi Median Age
Median Age: 55.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Soo Shi | 55.4 yrs | 57.1 yrs | 53.6 yrs |
| Kagoshima Prefecture | 48.9 yrs | 50.6 yrs | 47 yrs |
| Japan | 45.1 yrs | 46.9 yrs | 43.5 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Soo Shi Population Density
Population Density: 96.7 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Soo Shi | 37,881 | 391.8 km² | 96.7 / km² |
| Kagoshima Prefecture | 1.6 million | 9,185.9 km² | 172 / km² |
| Japan | 122.9 million | 373,410.9 km² | 329 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Soo Shi Historical and Projected Population
Estimated Population from 200 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.
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
Soo Shi Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $22,814 | $18,932 | $21,608 | $17,248 | $19,061 | $17,953 | $19,698 | $20,305 |
| Total GDP | $737.7M | $523.7M | $622.7M | $442.3M | $493.6M | $434.6M | $488M | $496.4M |
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
Soo Shi CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Soo Shi | 16,393 tn | 0.43 tn | 41.8 tons/km² |
| Kagoshima Prefecture | 950,321 tn | 0.6 tn | 103.5 tons/km² |
| Japan | 541,995,101 tn | 4.41 tn | 1,451.5 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
Soo Shi CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 16,393 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0.43 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 41.8 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| Earthquake | High (8) |
| Cyclone | High (10) |
| Landslide | High (9) |
| Volcano | High (10) |
* 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, and Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Volcano Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BR8Q45.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 6/19/19 | 2:35 AM | 4.3 | 20.6 km | 64,629 m | 10km N of Miyakonojo, Japan | usgs.gov |
| 1/5/19 | 6:32 AM | 4.6 | 52.6 km | 115,300 m | 7km E of Ibusuki, Japan | usgs.gov |
| 10/26/18 | 8:45 AM | 4.5 | 60 km | 117,010 m | 4km SSW of Ibusuki, Japan | usgs.gov |
| 6/27/18 | 11:47 AM | 4.2 | 46.3 km | 162,680 m | 15km WNW of Kajiki, Japan | usgs.gov |
| 6/11/18 | 7:54 PM | 5.4 | 54.8 km | 30,000 m | 22km SE of Kushima, Japan | usgs.gov |
| 8/24/17 | 5:34 AM | 4.5 | 47.4 km | 10,000 m | 15km NNW of Ibusuki, Japan | usgs.gov |
| 7/11/17 | 2:56 AM | 5.3 | 44.6 km | 23,910 m | 12km SW of Tarumizu, Japan | usgs.gov |
| 7/9/17 | 5:02 PM | 4.5 | 48.3 km | 59,060 m | 26km S of Shibushi, Japan | usgs.gov |
| 2/11/17 | 1:02 AM | 4.1 | 41.2 km | 105,800 m | 11km ENE of Kobayashi, Japan | usgs.gov |
| 12/17/16 | 3:20 AM | 4.2 | 35.9 km | 105,430 m | 8km E of Kobayashi, Japan | usgs.gov |
Source: U.S. Geological Survey (USGS)
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.

