Viwanda
Mgawanyo wa biashara kwa sekta katika Wang
Ukweli wa Wang
| Area | 1.9 km² |
| Idadi ya Watu | 641 |
| Idadi ya Wanaume | 320 (49.9%) |
| Idadi ya Wanawake | 321 (50.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +327.3% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +198.1% |
| Umri Wastani | Miaka 40.9 (Mwanamume: 40.4, Mwanamke: 41.3) |
| Simu Kiambishi | 8709, 8761, 8764, 8765 |
| Mitaa | Volkmannsdorf, Volkmannsdorferau, Spörerau, Sixthaselbach, Bergen |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 48.50000, 11.95000 |
| Posta | 85368 |
Ramani ya Wang
Ramani inayoingiliana
Idadi ya watu ya Wang
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 150 | 152 | 215 | 269 | 641 | 653 | 649 |
| Uzani wa Idadi ya Watu | 77.4 / km² | 78.5 / km² | 111 / km² | 138.8 / km² | 330.8 / km² | 337 / km² | 335 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Wang kutoka 2000 hadi 2020
Ongezeko la 198.1% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Wang | +327.3% | +321.7% | +198.1% |
| Bavaria | — | — | — |
| Ujerumani | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Wang
Umri wa wastani: miaka 40.9
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Wang | 40.9 yrs | 41.3 yrs | 40.4 yrs |
| Bavaria | 43.8 yrs | 44.9 yrs | 42.8 yrs |
| Ujerumani | 44.8 yrs | 46 yrs | 43.6 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Wang
Msongamano wa watu: 331 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Wang | 641 | 1.938 km² | 331 / km² |
| Bavaria | 12.7 million | 70,548.3 km² | 180 / km² |
| Ujerumani | 80.7 million | 358,179.8 km² | 225 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Wang
Idadi ya watu inayokadiriwa kutoka 1300 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.
Mitaa ya Wang
Asilimia ya biashara kwa mtaa katika Wang
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Wang
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Wang
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 Wang
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 |
|---|---|---|---|
| Wang | 6,745 tn | 10.52 tn | 3,481.2 tons/km² |
| Bavaria | 124,278,407 tn | 9.81 tn | 1,761.6 tons/km² |
| Ujerumani | 755,339,039 tn | 9.36 tn | 2,108.8 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 Wang
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 6,745 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 10.52 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 3,481.2 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Juu (8) |
| Mtetemeko wa ardhi | Chini (2) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
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. 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 |
|---|---|---|---|---|---|---|
| 10/6/05 | 7:23 AM | 3.8 | 84.9 km | 10,000 m | Austria | usgs.gov |
| 7/22/04 | 12:12 PM | 3.8 | 99.3 km | 10,000 m | Austria | usgs.gov |
| 8/2/81 | 2:15 PM | 3.1 | 89.6 km | 10,000 m | Germany | 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.