Categories in Tieling

Auto Parts StoreCar Accessories StoreCar Detailing ServiceCar rentalCar repairCar Repair and MaintenanceCar WashGas StationMotorcycle DealerNew car dealersUsed car dealersAgricultural Service Supply AgencyAluminum WindowAudio Visual Equipment SupplierBrick ManufacturerBuilding Materials SupplierChemical PlantClothes and Fabric ManufacturerCommercial PrinterComputer WholesalerConstruction Material WholesalerElectrical Equipment ManufacturerElectrical Supply WholesaleElectronic Parts ManufacturerElectronics WholesalerFactoryFruit wholesalerFuel supplierGeneral Food ManufacturingGeneral Mechanical Plants and WorkshopsGeneral Textile WeavingHardware, Tools & EquipmentIndustrial & Construction ManufacturingIndustrial Equipment SupplierIron and Steel IndustryLighting ManufacturerMachine Repair ServiceMachines WholesaleMetal IndustryMetalware ProducerMetalworkingOffice Supply StorePharmaceutical CompanyTimber TradeVegetable wholesale marketWholesale of food, beverages and tobaccoWire and cable supplierWood SupplierBoutiqueChildrens Store
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Industries

Business Distribution by Industry in Tieling

Industry DescriptionNumber of EstablishmentsAverage Age of Business
Shopping3,92828 years
Restaurants2,828
Public administration1,40334 years
Convenience stores1,007
Corporate management885
Beauty salons784
Grocery stores and supermarkets743
Education65442 years
Real estate63725 years
Pharmacies and drug stores631
Hospitals57342 years
Car repair537
Unreachable53628 years
Other accommodation473
Department stores465
Clothing stores401
Automotive361
Electronics stores33127 years
Buses and trains326
All food and beverage299

Tieling Facts

Area15.8 km²
Population16,187
Male Population8,110 (50.1%)
Female Population8,077 (49.9%)
Population change (1975 to 2020)+1201.2%
Population change (2000 to 2020)+399.1%
Median Age41 years (Male: 41.1, Female: 41)
GDP per capita (PPP)$13,848 (2022)
Area Codes410
NeighborhoodsYinzhou Qu, Kaiyuan Shi, Diaobingshan Shi, Qinghe Qu, Tieling Xian
Local Time
TimezoneChina Standard Time
Lat & Lng42.29306, 123.84139
Postal Codes112000112002112318112600112606More

Map of Tieling

Interactive Map

Tieling Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population1,2442,0253,24312,52216,18715,47815,043
Population Density79 / km²128.6 / km²205.9 / km²795 / km²1,027.7 / km²982.7 / km²955.1 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Tieling Population change from 2000 to 2020

Increase of 399.1% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Tieling+1201.2%+699.4%+399.1%
Liaoning
China
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Tieling Median Age

Median Age: 41 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Tieling41 yrs41 yrs41.1 yrs
Liaoning40.8 yrs41.2 yrs40.5 yrs
China36 yrs36.4 yrs35.6 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Tieling Population Density

Population Density: 1,028 / km²

LocationPopulationAreaDensity
Tieling16,18715.8 km²1,028 / km²
Liaoning44.2 million146,000.9 km²303 / km²
China1,361.3 million9,342,862.4 km²146 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Tieling Historical and Projected Population

Estimated Population from 1810 to 2100

Sources:
  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.

Neighborhoods in Tieling

Percentage of businesses by neighborhood in Tieling

Area Codes

Percentage Area Codes used by businesses in Tieling

Postal Codes

Percentage of businesses by Postal Codes in Tieling

Price Distribution

Business distribution by price for Tieling

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

Tieling Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$2,263$3,063$4,535$5,398$8,026$10,857$12,565$13,848
Total GDP$39.3M$61.5M$104.2M$118.3M$166M$214.2M$247.6M$274.9M
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

Tieling CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Tieling138,971 tn8.59 tn8,823.6 tons/km²
Liaoning369,066,737 tn8.35 tn2,527.8 tons/km²
China11,912,486,467 tn8.75 tn1,275 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
Tieling CO2 Emissions
2013 CO2 emissions (tonnes/year)138,971 tn
2013 CO2 emissions (tonnes/year) per capita8.59 tn
2013 CO2 emissions intensity (tonnes/km²/year)8,823.6 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtMedium (7)
FloodMedium (4)
EarthquakeLow (2)
CycloneMedium (5)

* 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, 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.
  4. 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.
  5. 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

DateTimeMagnitudeDistanceDepthLocationLink
9/23/181:22 PM4.727.4 km10,000 m23km SSW of Guyushu, Chinausgs.gov

Tieling

Tieling (simplified Chinese: 铁岭; traditional Chinese: 鐵嶺; pinyin: Tiělíng; literally: "iron peak") is a prefecture-level city in northeastern Liaoning province of the People's Republic of China. population is 3 million at the 2nd of 2004. Tieling is..

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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.