Viwanda
Mgawanyo wa biashara kwa sekta katika Bement
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara | Wastani wa Google rating |
|---|---|---|---|
| Usimamizi wa umma | 7 | 97 year | 4 |
| Matrekta na Vifaa vya mashamba | 7 | — | 4.9 |
| Makontakta kwa ujumla | 6 | 31 year | 5 |
Ukweli wa Bement
| Area | 0.7 mi² |
| Idadi ya Watu | 1,510 |
| Idadi ya Wanaume | 745 (49.3%) |
| Idadi ya Wanawake | 765 (50.7%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +27.6% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +2.4% |
| Umri Wastani | Miaka 38 (Mwanamume: 36.6, Mwanamke: 39.6) |
| Simu Kiambishi | 217 |
| Mitaa | Bement |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 39.92198, -88.57201 |
Ramani ya Bement
Ramani inayoingiliana
Idadi ya watu ya Bement
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 1,183 | 1,341 | 1,474 | 1,494 | 1,510 |
| Uzani wa Idadi ya Watu | 1,581.4 / mi² | 1,792.6 / mi² | 1,970.4 / mi² | 1,997.1 / mi² | 2,018.5 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Bement kutoka 2000 hadi 2015
Ongezeko la 1.4% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Bement | +26.3% | +11.4% | +1.4% |
| Illinois | +16.7% | +9.7% | +3.9% |
| 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 Bement
Umri wa wastani: miaka 38
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Bement | 38 yrs | 39.6 yrs | 36.6 yrs |
| Illinois | 36.6 yrs | 37.9 yrs | 35.3 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Bement
Msongamano wa watu: 2,019 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Bement | 1,510 | 0.748 sq mi | 2,019 / mi² |
| Illinois | 13 million | 57,913.5 sq mi | 224 / 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 Bement
Idadi ya watu inayokadiriwa kutoka 1830 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 Bement
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 Bement
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 |
|---|---|---|---|
| Bement | 30,667 tn | 20.31 tn | 40,995.2 tons/mi² |
| Illinois | 259,471,379 tn | 20 tn | 4,480.3 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 Bement
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 30,667 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 20.31 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 40,995.2 tons/mi² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Flood | Medium (4) |
| Earthquake | Low (2) |
* 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.
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.