Kategoria katika Mayet
Utengenezaji wa magariMkulima wa MazaoChama au ShirikaUchoraji na rangi ya makandarasiMchinjajiUokaji mikateAuto bimaBenkiBenki ya AkibaBimaBima ya maishaUanasheria na fedhaWakala wa BimaWakala wa Bima ya PikipikiViungo vya mwiliSaluni ya NyweleZa saluniUkodishaji wa Nyumba za KuishiKitanda na kifungua kinywa
Viwanda
Mgawanyo wa biashara kwa sekta katika Mayet
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Utengenezaji wa magari | 9 | 18 year |
| Elimu | 7 | — |
| Afya na matibabu | 7 | — |
| Maduka ya vyakula na makubwa | 6 | — |
| Za saluni | 6 | — |
| Wasusi | 6 | — |
| Uokaji mikate | 5 | — |
| Kitanda na kifungua kinywa | 5 | — |
| Manunuzi mengineyo | 5 | — |
| Mkuu wa watendaji | 5 | — |
| Majengo | 5 | — |
| Usimamizi wa umma | 5 | — |
| Haifikiwi | 5 | — |
| Udhibiti wa shirika | 5 | — |
| Wauguzi | 5 | — |
Ukweli wa Mayet
| Area | 2.3 km² |
| Idadi ya Watu | 2,158 |
| Idadi ya Wanaume | 1,040 (48.2%) |
| Idadi ya Wanawake | 1,118 (51.8%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | -0.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -0.9% |
| Umri Wastani | Miaka 46.2 (Mwanamume: 44.6, Mwanamke: 48.1) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 47.75968, 0.27468 |
| Posta | 72360 |
Ramani ya Mayet
Ramani inayoingiliana
Idadi ya watu ya Mayet
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 2,161 | 2,184 | 2,177 | 2,145 | 2,158 |
| Uzani wa Idadi ya Watu | 960.4 / km² | 970.7 / km² | 967.6 / km² | 953.3 / km² | 959.1 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Mayet kutoka 2000 hadi 2015
Kupungua kwa 1.5% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Mayet | -0.7% | -1.8% | -1.5% |
| Ufaransa | +22.7% | +13.8% | +8.8% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Mayet
Umri wa wastani: miaka 46.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Mayet | 46.2 yrs | 48.1 yrs | 44.6 yrs |
| Ufaransa | 39.6 yrs | 41 yrs | 38.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Mayet
Msongamano wa watu: 959 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Mayet | 2,158 | 2.25 km² | 959 / km² |
| Ufaransa | 65.9 million | 638,022.5 km² | 103 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Mayet
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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Mayet
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 Mayet
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 |
|---|---|---|---|
| Mayet | 15,366 tn | 7.12 tn | 6,829.4 tons/km² |
| Ufaransa | 485,797,691 tn | 7.38 tn | 761.4 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 Mayet
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 15,366 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 7.12 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 6,829.4 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mtetemeko wa ardhi | Chini (2) |
* 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. 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 |
|---|---|---|---|---|---|---|
| 6/21/19 | 6:50 AM | 4.3 | 92.7 km | 3,360 m | 5km WNW of Vihiers, France | usgs.gov |
| 6/19/16 | 5:27 PM | 3.5 | 89.9 km | 10,000 m | 4km SW of Saint-Lambert-du-Lattay, France | usgs.gov |
| 5/2/16 | 10:36 AM | 4.2 | 78.1 km | 2,000 m | 9km SSW of Saint-Epain, France | usgs.gov |
| 6/7/08 | 8:25 PM | 3 | 69.7 km | 3,000 m | France | usgs.gov |
| 12/17/07 | 7:03 PM | 3 | 72.6 km | 4,000 m | France | usgs.gov |
| 12/17/07 | 6:49 AM | 3.4 | 72.7 km | 4,000 m | France | usgs.gov |
| 11/21/07 | 3:04 AM | 3.1 | 87 km | 5,000 m | France | usgs.gov |
| 5/14/07 | 2:18 PM | 3 | 79.4 km | 5,000 m | France | usgs.gov |
| 1/8/07 | 11:36 AM | 3.6 | 77.7 km | 3,000 m | France | usgs.gov |
| 11/5/06 | 12:37 AM | 4.1 | 54.6 km | 6,000 m | France | 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.