Categories in Kagoshima
Industries
Business Distribution by Industry in Kagoshima
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Restaurants | 4,640 | 7 years |
| Shopping | 3,424 | 15 years |
| Construction of buildings | 2,599 | 24 years |
| Corporate management | 2,525 | 5 years |
| Apartments | 2,057 | — |
| Hairdressers | 1,994 | 12 years |
| Real estate | 1,405 | 8 years |
| Public administration | 1,373 | — |
| Health and medical | 1,316 | 43 years |
| Education | 1,303 | 5 years |
| Grocery stores and supermarkets | 1,137 | 22 years |
| All food and beverage | 1,119 | 13 years |
| Japanese restaurants | 1,111 | — |
| Public parks | 1,109 | — |
| Pharmacies and drug stores | 1,053 | — |
| Beauty salons | 1,030 | 12 years |
| Other membership organizations | 1,002 | 11 years |
Kagoshima Facts
| Area | 168.9 km² |
| Population | 470,521 |
| Male Population | 218,342 (46.4%) |
| Female Population | 252,179 (53.6%) |
| Population change (1975 to 2020) | -5.4% |
| Population change (2000 to 2020) | +1.3% |
| Median Age | 44.2 years (Male: 42.6, Female: 45.6) |
| GDP per capita (PPP) | $40,141 (2022) |
| Area Codes | 99 |
| Neighborhoods | Kinseicho, Higashisengokucho, Yamanokuchicho, Chuocho, Yamashitacho |
| Local Time | |
| Timezone | Japan Standard Time |
| Lat & Lng | 31.56667, 130.55000 |
| Postal Codes | 890, 891, 892, 896, 899 |
Map of Kagoshima
Interactive Map
Kagoshima Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 497,453 | 490,845 | 464,467 | 417,596 | 470,521 | 441,349 | 414,659 |
| Population Density | 2,944.6 / km² | 2,905.5 / km² | 2,749.3 / km² | 2,471.9 / km² | 2,785.2 / km² | 2,612.5 / km² | 2,454.5 / km² |
Kagoshima Population change from 2000 to 2020
Increase of 1.3% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Kagoshima | -5.4% | -4.1% | +1.3% |
| Kagoshima Prefecture | — | — | — |
| Japan | — | — | — |
Kagoshima Median Age
Median Age: 44.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Kagoshima | 44.2 yrs | 45.6 yrs | 42.6 yrs |
| Kagoshima Prefecture | 48.9 yrs | 50.6 yrs | 47 yrs |
| Japan | 45.1 yrs | 46.9 yrs | 43.5 yrs |
Kagoshima Population Density
Population Density: 2,785 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Kagoshima | 470,521 | 168.9 km² | 2,785 / km² |
| Kagoshima Prefecture | 1.6 million | 9,185.9 km² | 172 / km² |
| Japan | 122.9 million | 373,410.9 km² | 329 / km² |
Kagoshima Historical and Projected Population
Estimated Population from 1500 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 Kagoshima
Percentage of businesses by neighborhood in Kagoshima
Postal Codes
Percentage of businesses by Postal Codes in Kagoshima
Price Distribution
Business distribution by price for Kagoshima
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Kagoshima Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $26,393 | $30,094 | $33,982 | $36,560 | $32,722 | $38,887 | $38,608 | $40,141 |
| Total GDP | $1.5B | $2B | $2.3B | $2.6B | $2.3B | $2.6B | $2.5B | $2.5B |
Kagoshima CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Kagoshima | 181,047 tn | 0.38 tn | 1,071.7 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 |
| 2013 CO2 emissions (tonnes/year) | 181,047 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0.38 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 1,071.7 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| Earthquake | High (7.7) |
| Cyclone | High (10) |
| Landslide | High (9) |
| Volcano | High (10) |
* 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, 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 |
|---|---|---|---|---|---|---|
| 6/10/19 | 1:00 PM | 4.3 | 31.2 km | 158,850 m | 9km ENE of Makurazaki, Japan | usgs.gov |
| 1/26/19 | 3:09 AM | 4.3 | 45.3 km | 160,000 m | 6km S of Makurazaki, Japan | usgs.gov |
| 1/17/19 | 7:59 AM | 4.2 | 46 km | 155,240 m | 16km SE of Makurazaki, Japan | usgs.gov |
| 1/5/19 | 6:32 AM | 4.6 | 40.6 km | 115,300 m | 7km E of Ibusuki, Japan | usgs.gov |
| 11/14/18 | 2:05 PM | 4.5 | 49.4 km | 159,500 m | 17km SSE of Makurazaki, Japan | usgs.gov |
| 11/6/18 | 2:06 PM | 4.5 | 34.6 km | 153,810 m | 8km SSW of Kaseda, Japan | usgs.gov |
| 10/26/18 | 8:45 AM | 4.5 | 41.6 km | 117,010 m | 4km SSW of Ibusuki, Japan | usgs.gov |
| 8/24/18 | 3:27 AM | 4.3 | 50.7 km | 160,500 m | 21km SW of Ibusuki, Japan | usgs.gov |
| 6/27/18 | 11:47 AM | 4.2 | 24.7 km | 162,680 m | 15km WNW of Kajiki, Japan | usgs.gov |
| 9/24/17 | 11:31 PM | 4.6 | 38.9 km | 158,920 m | 7km ESE of Makurazaki, Japan | usgs.gov |
Kagoshima
Kagoshima (鹿児島市, Kagoshima-shi) is the capital city of Kagoshima Prefecture at the south western tip of the island of Kyushu in Japan, and the largest city in the prefecture by some margin. It has been nicknamed the "Naples of the Eastern world" for ..
Kagoshima 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.

