Viwanda
Mgawanyo wa biashara kwa sekta katika Isabel
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 12 |
Ukweli wa Isabel
| Area | 0.9 mi² |
| Idadi ya Watu | 122 |
| Idadi ya Wanaume | 54 (44.0%) |
| Idadi ya Wanawake | 68 (56.0%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +5.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -17.6% |
| Umri Wastani | Miaka 47.2 (Mwanamume: 47.9, Mwanamke: 47) |
| Simu Kiambishi | 605 |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Mountain |
| Latitudo na Longitudo | 45.39415, -101.42959 |
| Posta | 57633 |
Ramani ya Isabel
Ramani inayoingiliana
Idadi ya watu ya Isabel
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 116 | 134 | 148 | 122 | 122 |
| Uzani wa Idadi ya Watu | 126.5 / mi² | 146.1 / mi² | 161.4 / mi² | 133 / mi² | 133 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Isabel kutoka 2000 hadi 2015
Kupungua kwa 17.6% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Isabel | +5.2% | -9% | -17.6% |
| South Dakota | +35.2% | +21.7% | +11.2% |
| 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 Isabel
Umri wa wastani: miaka 47.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Isabel | 47.2 yrs | 47 yrs | 47.9 yrs |
| South Dakota | 37.2 yrs | 38.4 yrs | 35.9 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Isabel
Msongamano wa watu: 133 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Isabel | 122 | 0.917 sq mi | 133 / mi² |
| South Dakota | 842,917 | 77,115.8 sq mi | 10.9 / 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 Isabel
Idadi ya watu inayokadiriwa kutoka 600 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 Isabel
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 Isabel
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 |
|---|---|---|---|
| Isabel | 2,388 tn | 19.57 tn | 2,604.2 tons/mi² |
| South Dakota | 15,943,605 tn | 18.91 tn | 206.7 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 Isabel
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 2,388 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 19.57 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 2,604.2 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | High (9) |
* 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, 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.
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.