Kategoria katika Manāli
Viwanda
Mgawanyo wa biashara kwa sekta katika Manāli
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Hoteli na motels | 61 |
| Nyingine malazi | 32 |
| Mikahawa | 18 |
| Mashirika ya Usafiri | 18 |
| Waendeshaji ziara | 12 |
| Teksi | 11 |
| Usafiri | 6 |
Ukweli wa Manāli
| Area | 22.3 km² |
| Idadi ya Watu | 29,946 |
| Idadi ya Wanaume | 16,062 (53.6%) |
| Idadi ya Wanawake | 13,884 (46.4%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +36.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -7.4% |
| Umri Wastani | Miaka 26.8 (Mwanamume: 26.8, Mwanamke: 26.7) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za India |
| Latitudo na Longitudo | 32.25740, 77.17481 |
| Posta | 175143 |
Ramani ya Manāli
Ramani inayoingiliana
Idadi ya watu ya Manāli
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 21,984 | 29,750 | 32,354 | 31,416 | 29,946 | 29,520 | 29,460 |
| Uzani wa Idadi ya Watu | 985.3 / km² | 1,333.3 / km² | 1,450 / km² | 1,408 / km² | 1,342.1 / km² | 1,323 / km² | 1,320.3 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Manāli kutoka 2000 hadi 2020
Kupungua kwa 7.4% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Manāli | +36.2% | +0.7% | -7.4% |
| Himachal Pradesh | — | — | — |
| Uhindi | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Manāli
Umri wa wastani: miaka 26.8
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Manāli | 26.8 yrs | 26.7 yrs | 26.8 yrs |
| Himachal Pradesh | 28.1 yrs | 28.8 yrs | 27.5 yrs |
| Uhindi | 24.9 yrs | 25.4 yrs | 24.5 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Manāli
Msongamano wa watu: 1,342 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Manāli | 29,946 | 22.3 km² | 1,342 / km² |
| Himachal Pradesh | 7.2 million | 55,701.2 km² | 130 / km² |
| Uhindi | 1,307 million | 3,083,563.4 km² | 424 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Manāli
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.
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Manāli
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 Manāli
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 |
|---|---|---|---|
| Manāli | 46,930 tn | 1.57 tn | 2,103.3 tons/km² |
| Himachal Pradesh | 13,397,153 tn | 1.85 tn | 240.5 tons/km² |
| Uhindi | 1,928,568,344 tn | 1.48 tn | 625.4 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 Manāli
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 46,930 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.57 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 2,103.3 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Wastani (7) |
| Mafuriko | Wastani (7) |
| Mtetemeko wa ardhi | Wastani (7) |
| Udhibiti wa ardhi | Wastani (7) |
* 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, 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, 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 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 |
|---|---|---|---|---|---|---|
| 7/29/19 | 3:33 AM | 4.4 | 81.8 km | 10,000 m | 44km NW of Kyelang, India | usgs.gov |
| 7/24/19 | 7:17 PM | 4.2 | 90.3 km | 10,000 m | 30km NE of Chamba, India | usgs.gov |
| 6/16/18 | 10:06 PM | 3.2 | 76.3 km | 10,000 m | 25km NNW of Sarahan, India | usgs.gov |
| 6/14/18 | 10:15 AM | 4.5 | 83.6 km | 10,000 m | 21km E of Chamba, India | usgs.gov |
| 10/27/17 | 2:37 AM | 4.1 | 41.9 km | 14,960 m | 31km E of Kulu, India | usgs.gov |
| 8/27/16 | 1:35 AM | 4.5 | 98.3 km | 10,000 m | 5km NE of Rampur, India | usgs.gov |
| 10/8/15 | 1:04 AM | 4.2 | 75.9 km | 36,040 m | 10km NE of Sundarnagar, India | usgs.gov |
| 8/21/14 | 8:11 AM | 4.9 | 70.9 km | 10,000 m | 13km NE of Dharmsala, India | usgs.gov |
| 6/17/14 | 5:31 PM | 4.2 | 69.1 km | 33,510 m | 15km NE of Dharmsala, India | usgs.gov |
| 7/13/13 | 5:49 PM | 4.4 | 61.8 km | 25,500 m | 36km NE of Dharmsala, India | 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.