Kategoria katika Mājuli
Duka la PikipikiDuka la Sehemu za PikipikiDuka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiMakanikaUtengenezaji wa magariWauzaji wa magari mapyaMsambazaji wa Bidhaa za MaziwaShamba la SamakiUkulimaWauzaji wa jumlaMaduka ya nguoMaduka ya ViatuWanawake mavaziSimu ya mkononi madukaDiniHekalu HinduHuduma ya Ukusanyaji wa TakatakaKituo cha JumuiyaMakusudio ya KidiniOfisi ya SerikaliPolisi wa JimboPostaShirika Lisilo la FaidaUkumbi wa KijijiDuka la ElektronikiDuka la Matengenezo ya Simu za MkononiDuka la Utengenezaji ElektronikiDuka la Vifaa vya Simu za MkononiHuduma za KompyutaMsaada na Huduma kwa KompyutaDuka la Bidhaa za NyumbaniDuka la RangiDuka la Vifaa vya ujenziDuka la vipuri vya chumaMajengo ya MakaziUjenzi wa nyumbaChuoElimuKituo cha ElimuShule ya elimu ya jumlaShule ya MsingiShule ya MwanzoShule ya SekondariShule ya Sekondari ya JuuShule ya UpiliShule za KatikatiTaasisi ya ElimuKivutio cha Watali
Inaonyesha 1-50 kati ya 108
Viwanda
Mgawanyo wa biashara kwa sekta katika Mājuli
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Manunuzi mengineyo | 175 |
| Manunuzi | 123 |
| Elimu | 104 |
| Hekalu Hindu | 53 |
| Nyingine malazi | 45 |
| Mikahawa | 45 |
| Duka za vifaa vya elektroniki | 37 |
| Maduka ya nguo | 34 |
| Usimamizi wa umma | 34 |
| Hoteli na motels | 33 |
| Duka la vipuri vya chuma | 29 |
| Maduka ya dawa na maduka ya madawa ya kulevya | 28 |
Ukweli wa Mājuli
| Area | 1288.1 km² |
| Idadi ya Watu | 251,947 |
| Idadi ya Wanaume | 128,645 (51.1%) |
| Idadi ya Wanawake | 123,302 (48.9%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +111.3% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +24.4% |
| Umri Wastani | Miaka 26.2 (Mwanamume: 26.5, Mwanamke: 25.9) |
| Simu Kiambishi | 3775 |
| Mitaa | Garmur, Mestwada |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za India |
| Latitudo na Longitudo | 26.95000, 94.16667 |
| Posta | 785104 |
Ramani ya Mājuli
Ramani inayoingiliana
Idadi ya watu ya Mājuli
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 119,240 | 175,371 | 202,554 | 236,968 | 251,947 |
| Uzani wa Idadi ya Watu | 92.6 / km² | 136.2 / km² | 157.3 / km² | 184 / km² | 195.6 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Mājuli kutoka 2000 hadi 2015
Ongezeko la 17% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Mājuli | +98.7% | +35.1% | +17% |
| Assam | +110.1% | +49.1% | +23.4% |
| 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 Mājuli
Umri wa wastani: miaka 26.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Mājuli | 26.2 yrs | 25.9 yrs | 26.5 yrs |
| Assam | 23.9 yrs | 23.8 yrs | 24 yrs |
| Uhindi | 24.9 yrs | 25.4 yrs | 24.5 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Mājuli
Msongamano wa watu: 196 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Mājuli | 251,947 | 1,288.1 km² | 196 / km² |
| Assam | 33.5 million | 78,481.8 km² | 427 / 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 Mājuli
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.
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Mājuli
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 Mājuli
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 |
|---|---|---|---|
| Mājuli | 349,130 tn | 1.39 tn | 271.1 tons/km² |
| Assam | 42,390,546 tn | 1.26 tn | 540.1 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 Mājuli
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 349,130 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.39 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 271.1 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Chini (2) |
| Mafuriko | Juu (10) |
| Mtetemeko 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 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 |
|---|---|---|---|---|---|---|
| 5/25/18 | 8:25 PM | 4 | 90.2 km | 49,170 m | 28km SSW of Bokakhat, India | usgs.gov |
| 5/25/18 | 12:43 PM | 4.4 | 58 km | 59,430 m | 21km NW of Mokokchung, India | usgs.gov |
| 12/17/17 | 6:20 AM | 4.6 | 76.9 km | 15,940 m | 36km WNW of Dhemaji, India | usgs.gov |
| 7/10/15 | 1:53 AM | 4.1 | 53.4 km | 14,660 m | 22km N of North Lakhimpur, India | usgs.gov |
| 11/2/14 | 5:41 AM | 4.3 | 29.7 km | 57,370 m | 7km E of Dergaon, India | usgs.gov |
| 11/6/13 | 4:19 AM | 4.8 | 89.9 km | 46,840 m | 29km SSW of Bokakhat, India | usgs.gov |
| 11/6/13 | 4:16 AM | 5.4 | 79.1 km | 34,320 m | 24km S of Bokakhat, India | usgs.gov |
| 2/10/12 | 7:10 PM | 4.8 | 89.5 km | 52,300 m | Assam - Nagaland region, India | usgs.gov |
| 7/17/05 | 6:12 AM | 4.8 | 97.7 km | 26,100 m | Assam, India | usgs.gov |
| 2/21/99 | 9:04 PM | 4 | 77.8 km | 33,000 m | Assam, 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.