Viwanda
Mgawanyo wa biashara kwa sekta katika Shorter
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara | Wastani wa Google rating |
|---|---|---|---|
| Dini | 13 | 73 year | 5 |
| Makanisa | 13 | 73 year | 5 |
| Kituo cha kuuza mafuta | 8 | — | 4 |
| Manunuzi | 8 | 23 year | 4.1 |
| Elimu | 6 | — | 2 |
| Mikahawa | 6 | 16 year | 3 |
| Urahisi maduka | 6 | — | 4 |
| Asubuhi ya | 6 | — | 4.3 |
| Michezo na kujivinjari | 5 | — | 3.5 |
Ukweli wa Shorter
| Area | 4.6 mi² |
| Idadi ya Watu | 433 |
| Idadi ya Wanaume | 222 (51.3%) |
| Idadi ya Wanawake | 211 (48.7%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +40.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -16.6% |
| Umri Wastani | Miaka 40.5 (Mwanamume: 39.7, Mwanamke: 41.4) |
| Simu Kiambishi | 334 |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 32.39486, -85.91690 |
| Posta | 36075 |
Ramani ya Shorter
Ramani inayoingiliana
Idadi ya watu ya Shorter
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 309 | 410 | 519 | 429 | 433 |
| Uzani wa Idadi ya Watu | 67.8 / mi² | 89.9 / mi² | 113.8 / mi² | 94.1 / mi² | 94.9 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Shorter kutoka 2000 hadi 2015
Kupungua kwa 17.3% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Shorter | +38.8% | +4.6% | -17.3% |
| Alabama | +36.3% | +21% | +10.2% |
| Marekani | +46.9% | +27.2% | +13.7% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Shorter
Umri wa wastani: miaka 40.5
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Shorter | 40.5 yrs | 41.4 yrs | 39.7 yrs |
| Alabama | 38 yrs | 39.3 yrs | 36.6 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Shorter
Msongamano wa watu: 94.9 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Shorter | 433 | 4.561 sq mi | 94.9 / mi² |
| Alabama | 4.9 million | 52,420.1 sq mi | 93.9 / mi² |
| Marekani | 321.6 million | 3,796,740.8 sq mi | 84.7 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Shorter
Idadi ya watu inayokadiriwa kutoka 1820 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.
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Shorter
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 Shorter
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 |
|---|---|---|---|
| Shorter | 6,797 tn | 15.7 tn | 1,490.4 tons/mi² |
| Alabama | 88,924,479 tn | 18.06 tn | 1,696.4 tons/mi² |
| Marekani | 5,664,619,810 tn | 17.62 tn | 1,492 tons/mi² |
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 Shorter
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 6,797 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 15.7 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 1,490.4 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Flood | Medium (4) |
| Cyclone | Medium (5) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
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, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
- 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.
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.