Kategoria katika Haiming
Uuzaji kijumla wa vifaa vya ujenziDiniKuzima moto na uokoajiMakanisaPostaDuka za vifaa vya elektronikiDuka la vipuri vya chumaJikoni na Kabati za Bafu na UkarabatiUfungaji umemeUjenzi wa majengoElimuMaduka ya vyakula na makubwaMchinjajiMikahawaVyakula vyote na VinywajiKaya vifaa na bidhaaSamani madukaBenkiZa saluniManunuziManunuzi mengineyoVifaa vya michezoHosteliHoteli na motelsKitanda na kifungua kinywaMashirika ya UsafiriNyingine malazi
Viwanda
Mgawanyo wa biashara kwa sekta katika Haiming
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Wastani wa Google rating |
|---|---|---|
| Manunuzi | 29 | 4.6 |
| Nyingine malazi | 20 | 4.3 |
| Hoteli na motels | 13 | 4.3 |
Ukweli wa Haiming
| Area | 1.0 km² |
| Idadi ya Watu | 1,458 |
| Idadi ya Wanaume | 722 (49.5%) |
| Idadi ya Wanawake | 736 (50.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +11.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +8.1% |
| Umri Wastani | Miaka 38.2 (Mwanamume: 36.7, Mwanamke: 39.6) |
| Simu Kiambishi | 5252, 5266 |
| Mitaa | Ochsengarten |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 47.25000, 10.88333 |
| Posta | 6425 |
Ramani ya Haiming
Ramani inayoingiliana
Idadi ya watu ya Haiming
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 1,312 | 1,252 | 1,349 | 1,453 | 1,458 |
| Uzani wa Idadi ya Watu | 1,312 / km² | 1,252 / km² | 1,349 / km² | 1,453 / km² | 1,458 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Haiming kutoka 2000 hadi 2015
Ongezeko la 7.7% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Haiming | +10.7% | +16.1% | +7.7% |
| Tirol | +16.7% | +13.5% | +7.5% |
| Austria | +12.1% | +10.9% | +6.1% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Haiming
Umri wa wastani: miaka 38.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Haiming | 38.2 yrs | 39.6 yrs | 36.7 yrs |
| Tirol | 41.2 yrs | 42.2 yrs | 40.2 yrs |
| Austria | 42.3 yrs | 43.5 yrs | 41.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Haiming
Msongamano wa watu: 1,458 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Haiming | 1,458 | 1 km² | 1,458 / km² |
| Tirol | 728,222 | 12,648.1 km² | 57.6 / km² |
| Austria | 8.5 million | 83,905.5 km² | 102 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Haiming
Idadi ya watu inayokadiriwa kutoka 0 hadi 2100
Vyanzo:
- JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Kiunga] 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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Haiming
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Haiming
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Haiming
Kielelezo cha Maendeleo ya Binadamu (HDI)
Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.
Chanzo: [Kiunga] 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
Utoaji wa CO2 wa Haiming
Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwaka
| Location | Uzalishaji wa CO2 | Uzalishaji wa CO2 kwa Capita | Uzito wa uzalishaji wa CO2 |
|---|---|---|---|
| Haiming | 14,857 tn | 10.19 tn | 14,857 tons/km² |
| Tirol | 7,426,782 tn | 10.2 tn | 587.2 tons/km² |
| Austria | 91,216,590 tn | 10.69 tn | 1,087.1 tons/km² |
Vyanzo: [Kiunga] 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
Utoaji wa CO2 wa Haiming
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 14,857 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 10.19 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 14,857 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Flood | High (8) |
| Earthquake | Medium (4) |
| Landslide | Medium (6) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Vyanzo:
- 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. 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 Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 11/3/17 | 6:15 PM | 3.5 | 37.4 km | 10,000 m | 2km NNW of Mieders, Austria | usgs.gov |
| 8/9/13 | 10:44 AM | 3.7 | 44.7 km | 6,400 m | 1km ENE of Sistrans, Austria | usgs.gov |
| 10/10/08 | 10:43 PM | 3.2 | 62.5 km | 11,000 m | northern Italy | usgs.gov |
| 9/10/08 | 1:57 PM | 3.1 | 18.9 km | 10,000 m | Austria | usgs.gov |
| 3/18/08 | 11:03 AM | 3.5 | 38.1 km | 5,000 m | Austria | usgs.gov |
| 10/15/07 | 4:25 PM | 3.2 | 28.1 km | 14,300 m | Austria | usgs.gov |
| 5/19/07 | 4:19 PM | 4.1 | 23.5 km | 4,000 m | Austria | usgs.gov |
| 7/22/06 | 7:41 AM | 3 | 27.1 km | 10,000 m | Austria | usgs.gov |
| 5/23/06 | 12:57 PM | 3.4 | 49.7 km | 10,000 m | Austria | usgs.gov |
| 2/26/06 | 3:30 PM | 3.6 | 6.2 km | 10,000 m | Austria | usgs.gov |
Chanzo: U.S. Geological Survey (USGS)
Kuhusu Takwimu Zetu
Data katika ukurasa huu inakadiriwa kwa kutumia zana na rasilimali kadhaa zinazopatikana hadharani. Inatolewa bila dhamana, na inaweza kuwa na makosa. Tumia kwa hatari yako mwenyewe.