Kategoria katika Biggers
Viwanda
Mgawanyo wa biashara kwa sekta katika Biggers
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Makaburi na mahali pa kuchomea maiti | 13 |
Ukweli wa Biggers
| Area | 1.1 mi² |
| Idadi ya Watu | 341 |
| Idadi ya Wanaume | 167 (49.1%) |
| Idadi ya Wanawake | 174 (50.9%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +30.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -3.7% |
| Umri Wastani | Miaka 38.5 (Mwanamume: 37.6, Mwanamke: 40.4) |
| Simu Kiambishi | 870 |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 36.33256, -90.80623 |
| Posta | 72413 |
Ramani ya Biggers
Ramani inayoingiliana
Idadi ya watu ya Biggers
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 262 | 303 | 354 | 342 | 341 |
| Uzani wa Idadi ya Watu | 241.3 / mi² | 279 / mi² | 326 / mi² | 314.9 / mi² | 314 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Biggers kutoka 2000 hadi 2015
Kupungua kwa 3.4% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Biggers | +30.5% | +12.9% | -3.4% |
| Arkansas | +40.4% | +25% | +12.9% |
| 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 Biggers
Umri wa wastani: miaka 38.5
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Biggers | 38.5 yrs | 40.4 yrs | 37.6 yrs |
| Arkansas | 37.6 yrs | 38.8 yrs | 36.3 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Biggers
Msongamano wa watu: 314 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Biggers | 341 | 1.086 sq mi | 314 / mi² |
| Arkansas | 3 million | 53,178.5 sq mi | 57.1 / 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 Biggers
Idadi ya watu inayokadiriwa kutoka 1100 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.
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 Biggers
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 |
|---|---|---|---|
| Biggers | 5,922 tn | 17.37 tn | 5,453.5 tons/mi² |
| Arkansas | 51,735,446 tn | 17.05 tn | 972.9 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 Biggers
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 5,922 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 17.37 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 5,453.5 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Flood | High (10) |
| Earthquake | Medium (4) |
* 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. 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 |
|---|---|---|---|---|---|---|
| 10/15/17 | 10:16 AM | 3.64 | 83.2 km | 16,610 m | 6km SE of Manila, Arkansas | usgs.gov |
| 10/16/15 | 8:50 PM | 3.2 | 46.7 km | 15,740 m | 14km NNW of Doniphan, Missouri | usgs.gov |
| 10/16/15 | 8:26 PM | 3.48 | 47.8 km | 16,010 m | 15km N of Doniphan, Missouri | usgs.gov |
| 4/2/15 | 3:51 AM | 3.6 | 93.6 km | 10,910 m | 3km S of Steele, Missouri | usgs.gov |
| 5/15/14 | 3:44 PM | 3.1 | 74.8 km | 5,630 m | 4km W of Malden, Missouri | usgs.gov |
| 7/17/13 | 8:10 PM | 3.2 | 81.5 km | 13,570 m | 7km SW of Trumann, Arkansas | usgs.gov |
| 2/23/13 | 10:28 PM | 3.7 | 81.5 km | 14,110 m | 7km SW of Trumann, Arkansas | usgs.gov |
| 9/22/11 | 11:32 PM | 3.6 | 54.1 km | 11,450 m | 22km NNE of Doniphan, Missouri | usgs.gov |
| 1/20/10 | 9:18 PM | 3.3 | 56.6 km | 30 m | 23km ENE of Cave City, Arkansas | usgs.gov |
| 5/1/05 | 12:37 PM | 4.2 | 81.1 km | 10,000 m | 5km SSE of Manila, Arkansas | 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.