Kategoria katika Supaul
Duka la MagurudumuDuka la PikipikiDuka la Sehemu za PikipikiDuka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiKituo cha kuuza mafutaUbadilishaji wa magari kutoka kutumia Petroli na badala yake yatumie GesiUtengenezaji wa magariWauzaji wa magari mapyaHuduma ya Uchapishaji wa KidijitaliKinu cha MpungaKinu cha UngaMsambazaji wa MafutaMsambazaji wa Mafuta ya DizeliMsambazaji wa MboleaMsambazaji wa SarujiMuuzaji wa Jumla wa Vifaa vya KielektronikiMuuza Mitungi ya GesiUkulimaWauzaji wa jumlaDuka la nguo na uremboDuka la SareeMaduka ya nguoMaduka ya nguoMaduka ya ViatuVito vya thamani na saaWananchi wa nguoWanawake mavaziSimu ya mkononi madukaDiniHekalu HinduKampuni ya GesiKituo cha aadharKituo cha JumuiyaMisikitiOfisi ya SerikaliOfisi ya Serikali ya KaribuPostaShirika Lisilo la FaidaUkumbi wa KijijiDuka la ElektronikiDuka la KameraDuka la Matengenezo ya Simu za MkononiDuka la Utengenezaji ElektronikiDuka la Vifaa vya MuzikiDuka la Vifaa vya Simu za MkononiHuduma za KompyutaMsaada na Huduma kwa KompyutaDuka la Bidhaa za Nyumbani
Inaonyesha 1-50 kati ya 166
…
Viwanda
Mgawanyo wa biashara kwa sekta katika Supaul
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Manunuzi mengineyo | 612 |
| Duka za vifaa vya elektroniki | 183 |
| Elimu | 178 |
| Manunuzi | 173 |
| Maduka ya dawa na maduka ya madawa ya kulevya | 145 |
| Maduka ya nguo | 123 |
| Hekalu Hindu | 103 |
| Duka la vipuri vya chuma | 84 |
Ukweli wa Supaul
| Area | 246.0 km² |
| Idadi ya Watu | 420,306 |
| Idadi ya Wanaume | 219,091 (52.1%) |
| Idadi ya Wanawake | 201,215 (47.9%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +228.5% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +50.1% |
| Umri Wastani | Miaka 19.8 (Mwanamume: 19.4, Mwanamke: 20.3) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za India |
| Latitudo na Longitudo | 26.11503, 86.59527 |
| Posta | 852131 |
Ramani ya Supaul
Ramani inayoingiliana
Idadi ya watu ya Supaul
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 127,934 | 210,278 | 279,947 | 394,369 | 420,306 |
| Uzani wa Idadi ya Watu | 520.1 / km² | 854.8 / km² | 1,138 / km² | 1,603.1 / km² | 1,708.6 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Supaul kutoka 2000 hadi 2015
Ongezeko la 40.9% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Supaul | +208.3% | +87.5% | +40.9% |
| Bihar | +178.3% | +77.4% | +36.8% |
| Uhindi | +111.1% | +50.6% | +24.5% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Supaul
Umri wa wastani: miaka 19.8
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Supaul | 19.8 yrs | 20.3 yrs | 19.4 yrs |
| Bihar | 20.4 yrs | 20.8 yrs | 20.1 yrs |
| Uhindi | 24.9 yrs | 25.4 yrs | 24.5 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Supaul
Msongamano wa watu: 1,709 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Supaul | 420,306 | 246 km² | 1,709 / km² |
| Bihar | 115.8 million | 94,107.8 km² | 1,230 / 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 Supaul
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.
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 Supaul
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 |
|---|---|---|---|
| Supaul | 485,016 tn | 1.15 tn | 1,971.6 tons/km² |
| Bihar | 132,083,798 tn | 1.14 tn | 1,403.5 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 Supaul
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 485,016 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.15 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 1,971.6 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Wastani (5) |
| Mafuriko | Juu (10) |
| Mtetemeko wa ardhi | Wastani (4.1) |
* 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 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 |
|---|---|---|---|---|---|---|
| 5/27/05 | 10:12 PM | 3.5 | 61.7 km | 57,700 m | Nepal-India border region | usgs.gov |
| 7/9/93 | 4:23 PM | 4.6 | 93.7 km | 33,000 m | Nepal-India border region | usgs.gov |
| 2/15/93 | 2:29 PM | 5 | 92.7 km | 29,700 m | Bihar, India | usgs.gov |
| 1/10/90 | 11:01 PM | 4.7 | 49.7 km | 68,500 m | Nepal-India border region | usgs.gov |
| 9/2/88 | 6:35 AM | 4.4 | 56 km | 33,000 m | Nepal-India border region | usgs.gov |
| 9/1/88 | 10:04 PM | 4.6 | 72.2 km | 33,000 m | Nepal-India border region | usgs.gov |
| 8/24/88 | 9:55 AM | 4.7 | 70.1 km | 33,000 m | Nepal-India border region | usgs.gov |
| 8/22/88 | 11:34 AM | 4.3 | 68.5 km | 33,000 m | Nepal-India border region | usgs.gov |
| 8/20/88 | 11:09 PM | 6.9 | 70.9 km | 57,400 m | Nepal-India border region | usgs.gov |
| 4/25/88 | 4:04 PM | 4.8 | 77.8 km | 66,800 m | Nepal-India border region | 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.

