Categories in Baoying
Car repairElectrical Equipment ManufacturerIndustrial & Construction ManufacturingOffice Supply StoreLaundry ServiceShoe storesGovernment OfficeEducationKindergartenChinese restaurantsGrocery stores and supermarketsRestaurantsHospitalsBeauty salonsConvenience storesPharmacyShoppingSupermarketHotels and motelsTransportation ServiceUnreachable
Industries
Business Distribution by Industry in Baoying
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 72 |
| Shopping | 56 |
| Public administration | 27 |
| Corporate management | 26 |
| Education | 25 |
| Convenience stores | 20 |
| Beauty salons | 18 |
| Chinese restaurants | 13 |
| Department stores | 13 |
| Grocery stores and supermarkets | 12 |
| Real estate | 9 |
| Unreachable | 8 |
| Pharmacies and drug stores | 7 |
| Civil engineering | 7 |
| Other accommodation | 7 |
| Hospitals | 7 |
| Car repair | 6 |
Baoying Facts
| Area | 3.1 km² |
| Population | 2,204 |
| Male Population | 1,101 (50.0%) |
| Female Population | 1,103 (50.0%) |
| Population change (1975 to 2020) | +191.5% |
| Population change (2000 to 2020) | -3.6% |
| Median Age | 42.4 years (Male: 42.1, Female: 42.7) |
| Local Time | |
| Timezone | China Standard Time |
| Lat & Lng | 33.22917, 119.30917 |
Map of Baoying
Interactive Map
Baoying Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 756 | 1,384 | 2,287 | 1,802 | 2,204 | 2,095 | 2,025 |
| Population Density | 246.9 / km² | 451.9 / km² | 746.8 / km² | 588.4 / km² | 719.7 / km² | 684.1 / km² | 661.2 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridBaoying Population change from 2000 to 2020
Decrease of 3.6% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Baoying | +191.5% | +59.2% | -3.6% |
| Jiangsu | — | — | — |
| China | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Baoying Median Age
Median Age: 42.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Baoying | 42.4 yrs | 42.7 yrs | 42.1 yrs |
| Jiangsu | 38.5 yrs | 39.1 yrs | 37.9 yrs |
| China | 36 yrs | 36.4 yrs | 35.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Baoying Population Density
Population Density: 720 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Baoying | 2,204 | 3.063 km² | 720 / km² |
| Jiangsu | 80.2 million | 100,313 km² | 799 / km² |
| China | 1,361.3 million | 9,342,862.4 km² | 146 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Baoying Historical and Projected Population
Estimated Population from 0 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.
Price Distribution
Business distribution by price for Baoying
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
Baoying CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Baoying | 15,166 tn | 6.88 tn | 4,952.1 tons/km² |
| Jiangsu | 579,675,851 tn | 7.23 tn | 5,778.7 tons/km² |
| China | 11,912,486,467 tn | 8.75 tn | 1,275 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
Baoying CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 15,166 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 6.88 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 4,952.1 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (7) |
| Earthquake | Low (2) |
* 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 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 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 |
|---|---|---|---|---|---|---|
| 7/20/12 | 12:11 PM | 4.9 | 38.4 km | 10,000 m | Jiangsu, China | usgs.gov |
| 11/5/91 | 8:47 AM | 4.3 | 63 km | 33,000 m | Jiangsu, China | usgs.gov |
| 10/1/86 | 8:44 PM | 3.9 | 40.8 km | 33,000 m | Jiangsu, China | 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.

