Kategoria katika Shimla
Duka la BetriDuka la Betri za MagariDuka la GurudumuDuka la kutengeneza matairiDuka la MagurudumuDuka la Magurudumu YaliyotumikaDuka la PikipikiDuka la Sehemu za PikipikiDuka la Stereo ya MagariDuka la Vifaa vya MagariDuka la Vipuri vya MagariEneo la Kuosha GariFundi wa Bodi za MagariHuduma ya Kina ya GariHuduma ya Kunyosha MagariHuduma ya Mfungamano GurudumuHuduma ya Umeme wa MagariHuduma ya Urekebishaji MagariHuduma za Kubadilisha OiliHuduma za Kunakshi MagariHuduma za Kutengeneza Injini UpyaKituo cha GesiKituo cha kuuza mafutaKutumika gari wafanyabiasharaMakanikaMarekebisho na Matengenezo ya MagariMatairi na Batri za magariMuuzaji wa Jumla wa Vifaa vya MagariMuuza Magari ya VolvoMuuza PikipikiMwili kutengenezaPikipiki kukarabatiSoko la MagariUbadilishaji wa magari kutoka kutumia Petroli na badala yake yatumie GesiUkodishaji magariUpakaji Magari RangiUtengenezaji wa magariWauzaji wa magari mapyaAluminium SupplierDirisha la AluminiDuka la Bidhaa za HoteliDuka la Bidhaa za OfisiDuka la Chuma na Chuma cha PuaDuka la Jumla la ChakulaDuka la MbaoDuka la Samani za OfisiDuka la Vifaa vya Kutia wekoFundi DhahabuHuduma ya Matengenezo ya MashineHuduma ya uchapishaji wa 3D
Inaonyesha 1-50 kati ya 779
…
Viwanda
Mgawanyo wa biashara kwa sekta katika Shimla
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Hoteli na motels | 1,065 | — |
| Manunuzi | 1,025 | — |
| Nyingine malazi | 999 | 27 year |
| Mashirika ya Usafiri | 851 | 13 year |
| Mikahawa | 845 | — |
| Elimu | 717 | 43 year |
| Manunuzi mengineyo | 712 | — |
| Usimamizi wa umma | 521 | — |
| Magorofa | 432 | — |
| Maduka ya nguo | 403 | — |
| Udhibiti wa shirika | 376 | 14 year |
| Duka za vifaa vya elektroniki | 372 | 19 year |
| Hekalu Hindu | 359 | — |
| Maduka ya vyakula na makubwa | 320 | — |
| Dini | 319 | — |
| Duka la vipuri vya chuma | 314 | — |
| Usafiri | 297 | 21 year |
| Waendeshaji ziara | 290 | — |
Ukweli wa Shimla
| Area | 38.0 km² |
| Idadi ya Watu | 216,525 |
| Idadi ya Wanaume | 118,642 (54.8%) |
| Idadi ya Wanawake | 97,883 (45.2%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +52.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +0.8% |
| Umri Wastani | Miaka 28.7 (Mwanamume: 28.8, Mwanamke: 28.7) |
| Pato la Taifa kwa kila mtu (PPP) | $4,332 (2022) |
| Simu Kiambishi | 177 |
| Mitaa | Lower Bazar, The Mall, Lakkar Bazar, New Shimla, Dhalli |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za India |
| Latitudo na Longitudo | 31.10442, 77.16662 |
| Posta | 171001, 171002, 171003, 171004, 171005, More |
Ramani ya Shimla
Ramani inayoingiliana
Idadi ya watu ya Shimla
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 142,383 | 189,607 | 214,890 | 247,657 | 216,525 | 223,467 | 234,147 |
| Uzani wa Idadi ya Watu | 3,746.9 / km² | 4,989.7 / km² | 5,655 / km² | 6,517.3 / km² | 5,698 / km² | 5,880.7 / km² | 6,161.8 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Shimla kutoka 2000 hadi 2020
Ongezeko la 0.8% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Shimla | +52.1% | +14.2% | +0.8% |
| Himachal Pradesh | — | — | — |
| Uhindi | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Shimla
Umri wa wastani: miaka 28.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Shimla | 28.7 yrs | 28.7 yrs | 28.8 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 Shimla
Msongamano wa watu: 5,698 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Shimla | 216,525 | 38 km² | 5,698 / 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 Shimla
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.
Mitaa ya Shimla
Asilimia ya biashara kwa mtaa katika Shimla
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Shimla
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Shimla
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
Pato la Taifa (GDP) la Shimla
Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| Pato la Taifa kwa kila mtu | $1,472 | $1,635 | $2,260 | $3,388 | $3,843 | $5,906 | $4,291 | $4,332 |
| Jumla ya Pato la Taifa | $70.4M | $91.2M | $143.2M | $230.1M | $281.8M | $466.8M | $379.1M | $392.5M |
Chanzo: [Kiunga] 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
Utoaji wa CO2 wa Shimla
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 |
|---|---|---|---|
| Shimla | 477,593 tn | 2.21 tn | 12,568.2 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 Shimla
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 477,593 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 2.21 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 12,568.2 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Wastani (7) |
| Mafuriko | Juu (8) |
| Mtetemeko wa ardhi | Juu (8) |
| 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 |
|---|---|---|---|---|---|---|
| 6/16/18 | 10:06 PM | 3.2 | 84.7 km | 10,000 m | 25km NNW of Sarahan, India | usgs.gov |
| 10/27/17 | 2:37 AM | 4.1 | 97.2 km | 14,960 m | 31km E of Kulu, India | usgs.gov |
| 8/27/16 | 3:38 AM | 4.1 | 59.2 km | 10,000 m | 2km E of Rohru, India | usgs.gov |
| 8/27/16 | 1:35 AM | 4.5 | 64.5 km | 10,000 m | 5km NE of Rampur, India | usgs.gov |
| 8/27/16 | 1:14 AM | 4.6 | 66.1 km | 10,000 m | 7km ENE of Rampur, India | usgs.gov |
| 8/1/16 | 1:38 PM | 4.5 | 28.9 km | 35,060 m | 15km WNW of Seoni, India | usgs.gov |
| 10/8/15 | 1:04 AM | 4.2 | 57.7 km | 36,040 m | 10km NE of Sundarnagar, India | usgs.gov |
| 8/29/13 | 10:13 AM | 4.4 | 94.7 km | 38,330 m | 1km WSW of Una, India | usgs.gov |
| 5/28/10 | 7:25 AM | 5 | 64.2 km | 18,800 m | Himachal Pradesh, India | usgs.gov |
| 10/21/08 | 3:09 PM | 4.5 | 67.3 km | 17,100 m | Himachal Pradesh, 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.