Biashara katika Moshi
hoteli na kusafiri
Mikahawa
Kuhusu magari
huduma za kifedha
kuhusu dawa
urembo na spa
jamii na serikali
Viwanda
Usambazaji wa Biashara na Viwanda hoteli na kusafiri: 47.7%
Manunuzi: 10.6%
Viwanda: 7.6%
Mikahawa: 7.3%
Elimu: 6.2%
Kuhusu magari: 5.1%
Nyingine: 15.6%
Maelezo ya Viwanda | Idadi ya Uanzishwaji | Wastani wa Google rating | Biashara kwa kila wakazi 1,000 |
---|---|---|---|
Hoteli na motels | 22 | 3.9 | 0.0 |
Mashirika ya Usafiri | 17 | 4.4 | 0.0 |
Nyingine malazi | 13 | 4.0 | 0.0 |
Waendeshaji ziara | 19 | 4.6 | 0.0 |
Afrika migahawa | 12 | 3.6 | 0.0 |
Eneo la Moshi, Mkoa wa Kilimanjaro | km² 1,364.6 |
Idadi ya Watu | 749709 |
Idadi ya Wanaume | 363493 (48.5%) |
Idadi ya Wanawake | 386215 (51.5%) |
Mabadiliko ya idadi ya watu kutoka 1975 hadi 2015 | +155.6% |
Mabadiliko ya idadi ya watu kutoka 2000 hadi 2015 | +37.7% |
Umri Wastani | 21.5 |
Umri Wastani wa Mwanaume | 21 |
Umri Wastani wa Mwanamke | 22 |
Simu Kiambishi | 27 |
Mitaa | Moshi, Shanty Town |
wakati wa Kawaida | Alhamisi 21:38 |
Ukanda wa saa | Saa za Afrika Mashariki |
Hali ya hewa | 22.0°C mawingu |
Latitudo na Longitudo | -3.35° / 37.33333° |
Moshi, Mkoa wa Kilimanjaro - Ramani
Idadi ya Moshi, Mkoa wa Kilimanjaro
Miaka 1975 hadi 2015Takwimu | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Idadi ya Watu | 293268 | 435821 | 544301 | 749709 |
Uzani wa Idadi ya Watu | 214.9 / km² | 319.4 / km² | 398.9 / km² | 549.4 / km² |
Mabadiliko ya idadi ya watu Moshi kutoka 2000 hadi 2015
Kuongezeka kwa 37.7% kutoka 2000 hadi 2015Location | Badilisha tangu 1975 | Badilisha tangu 1990 | Badilisha tangu 2000 |
---|---|---|---|
Moshi, Mkoa wa Kilimanjaro | +155.6% | +72% | +37.7% |
Mkoa wa Kilimanjaro | +152.9% | +72.3% | +38.7% |
Tanzania | +234.9% | +110.2% | +57.4% |
Moshi, Mkoa wa Kilimanjaro Umri wa kati
Umri wa Kati: miaka 21.5Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
---|---|---|---|
Moshi, Mkoa wa Kilimanjaro | miaka 21.5 | miaka 22 | miaka 21 |
Mkoa wa Kilimanjaro | miaka 20.1 | miaka 20.8 | miaka 19.4 |
Tanzania | miaka 17.7 | miaka 18.2 | miaka 17.1 |
Mti wa Idadi ya wakazi wa Moshi, Mkoa wa Kilimanjaro
Idadi ya Watu Kwa Umri na JinsiaUmri | Mwanaume | Mwanamke | Jumla |
---|---|---|---|
Chini ya 5 | 41649 | 41602 | 83251 |
5-9 | 43979 | 42947 | 86927 |
10-14 | 47382 | 48583 | 95966 |
15-19 | 42580 | 45881 | 88462 |
20-24 | 31417 | 34792 | 66210 |
25-29 | 25199 | 27615 | 52815 |
30-34 | 23685 | 25489 | 49174 |
35-39 | 21655 | 23542 | 45197 |
40-44 | 18904 | 19810 | 38714 |
45-49 | 15852 | 17129 | 32981 |
50-54 | 13870 | 15302 | 29172 |
55-59 | 9857 | 11431 | 21288 |
60-64 | 9617 | 11254 | 20872 |
65-69 | 6898 | 8022 | 14920 |
70-74 | 6492 | 7520 | 14012 |
75-79 | 4457 | 5298 | 9756 |
80-84 | 0 | 0 | 0 |
85 Pamoja | 0 | 0 | 0 |
Uzani wa Idadi ya Moshi, Mkoa wa Kilimanjaro
Uzani wa Idadi ya Watu: 549.4 / km²Location | Idadi ya Watu | Area | Uzani wa Idadi ya Watu |
---|---|---|---|
Moshi, Mkoa wa Kilimanjaro | 749709 | km² 1,364.6 | 549.4 / km² |
Mkoa wa Kilimanjaro | milioni 1.9 | km² 13,186.9 | 144.5 / km² |
Tanzania | milioni 53.2 | km² 940,193.6 | 56.6 / km² |
Moshi, Mkoa wa Kilimanjaro Kihistoria na Idadi ya Idadi ya Watu
Idadi ya watu waliokadiriwa kutoka 1600 hadi 2100Sources:
1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
2. CIESIN (Center for International Earth Science Information Network)
3. [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.
Nambari za utambulizi za maeneo
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Moshi Simu Kiambishi 27: 32.2%
Simu Kiambishi 76: 21.1%
Simu Kiambishi 75: 16.7%
Simu Kiambishi 71: 11.1%
Simu Kiambishi 78: 7.8%
Simu Kiambishi 65: 7.8%
Nyingine: 3.3%
Ugawaji wa biashara kwa bei ya Moshi, Mkoa wa Kilimanjaro
wastani: 68.8%
inexpensive: 15.6%
ghali: 15.6%
Kielelezo cha Maendeleo ya Binadamu (HDI)
Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.Sources: [Link] 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
Uzalishaji wa Moshi, Mkoa wa Kilimanjaro CO2
Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwakaLocation | Uzalishaji wa CO2 | Uzalishaji wa CO2 kwa Capita | Uzito wa uzalishaji wa CO2 |
---|---|---|---|
Moshi, Mkoa wa Kilimanjaro | tani fupi 242,971 | tani fupi 0.32 | 178.1 tani fupi/km² |
Mkoa wa Kilimanjaro | tani fupi 578,609 | tani fupi 0.3 | 43.9 tani fupi/km² |
Tanzania | tani fupi 13,721,720 | tani fupi 0.26 | 14.6 tani fupi/km² |
Uzalishaji wa Moshi, Mkoa wa Kilimanjaro CO2
Uzalishaji wa CO2 2013 (tani/mwaka) | tani fupi 242,971 |
Uzalishaji wa 2013 CO2 (tani/mwaka) kwa kila mtu | tani fupi 0.32 |
Uzalishaji wa uzalishaji wa 2013 (tani/km²/mwaka) | 178.1 tani fupi/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10Udhibiti wa ardhi | Juu (8) |
Ukame | Kati (4.3) |
Mafuriko | Juu (7) |
Mtetemeko wa ardhi | Kati (4) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
Sources: 1. 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.
2. 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.
3. 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.
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.
5. 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 zaidiTarehe | Wakati | Ukuu | Umbali | Undani | Location | Kiunga |
---|---|---|---|---|---|---|
24/03/2019 | 09:21 | 4.7 | km 97.3 | mita 10,000 | 41km S of Mtito Andei, Kenya | usgs.gov |
07/02/2019 | 00:52 | 3.7 | km 7.2 | mita 10,000 | 7km NE of Moshi, Tanzania | usgs.gov |
01/01/1991 | 13:37 | 4.2 | km 95.3 | mita 10,000 | Kenya | usgs.gov |
06/10/1984 | 20:55 | 4.7 | km 91.2 | mita 10,000 | Tanzania | usgs.gov |
04/02/1976 | 23:46 | 4.2 | km 58.9 | mita 33,000 | Tanzania | usgs.gov |
Kuhusu Takwimu Zetu
Data kwenye ukurasa huu inakadiriwa kutumia idadi ya vifaa na rasilimali zinazopatikana hadharani. Imetolewa bila dhamana, na inaweza kuwa na uadilifu. Tumia kwa hatari yako mwenyewe. Tazama hapa kwa habari zaidi.