Categories in Haina

Industries

Business Distribution by Industry in Haina

Industry DescriptionNumber of Establishments
Pension funds12
Shopping12
Restaurants10

Haina Facts

Area0.7 km²
Population405
Population change (1975 to 2020)-52.6%
Population change (2000 to 2020)-10.0%
Local Time
TimezoneCentral European Summer Time
Lat & Lng50.98971, 10.51774

Map of Haina

Interactive Map

Haina Population

Years 1975 to 2020

Data19751990200020152020
Population855641450419405
Population Density1,243.6 / km²932.4 / km²654.5 / km²609.5 / km²589.1 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Haina Population change from 2000 to 2015

Decrease of 6.9% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Haina-51%-34.6%-6.9%
Thuringia-31.8%-19.6%-14.2%
Germany+2.6%+2.2%-1.5%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Haina Population Density

Population Density: 589 / km²

LocationPopulationAreaDensity
Haina4050.688 km²589 / km²
Thuringia2.1 million16,199.9 km²130 / km²
Germany80.7 million358,179.8 km²225 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Haina Historical and Projected Population

Estimated Population from 0 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.

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

Haina CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Haina3,746 tn9.25 tn5,449.1 tons/km²
Thuringia19,279,601 tn9.13 tn1,190.1 tons/km²
Germany755,339,039 tn9.36 tn2,108.8 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
Haina CO2 Emissions
2013 CO2 emissions (tonnes/year)3,746 tn
2013 CO2 emissions (tonnes/year) per capita9.25 tn
2013 CO2 emissions intensity (tonnes/km²/year)5,449.1 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (8)
EarthquakeLow (2)

* 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. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
  3. 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
10/25/062:11 PM335.5 km1,000 mGermanyusgs.gov
9/22/054:00 AM3.240.9 km10,000 mGermanyusgs.gov
7/2/011:19 PM3.485.6 km10,000 mGermanyusgs.gov
12/11/983:45 AM393.6 km10,000 mGermanyusgs.gov
11/10/974:13 PM3.388.3 km10,000 mGermanyusgs.gov
9/11/963:36 AM4.989.5 km10,000 mGermanyusgs.gov
2/25/962:23 PM3.188.5 km10,000 mGermanyusgs.gov
3/30/953:13 PM385.6 km10,000 mGermanyusgs.gov
3/13/891:02 PM5.453.7 km1,000 mGermanyusgs.gov
7/2/833:18 AM3.646.8 km10,000 mGermanyusgs.gov

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.