Viwanda
Mgawanyo wa biashara kwa sekta katika Smock
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Dini | 10 | 41 year |
| Utengenezaji wa magari | 9 | 32 year |
| Ujenzi wa majengo | 9 | 29 year |
Ukweli wa Smock
| Area | 1.6 mi² |
| Idadi ya Watu | 591 |
| Idadi ya Wanaume | 293 (49.5%) |
| Idadi ya Wanawake | 298 (50.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +19.4% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -7.5% |
| Umri Wastani | Miaka 43.3 (Mwanamume: 40.7, Mwanamke: 46.1) |
| Simu Kiambishi | 724 |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Mashariki |
| Latitudo na Longitudo | 39.99813, -79.78310 |
| Posta | 15480 |
Ramani ya Smock
Ramani inayoingiliana
Idadi ya watu ya Smock
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 495 | 591 | 639 | 555 | 591 | 607 | 611 |
| Uzani wa Idadi ya Watu | 310.8 / mi² | 371.1 / mi² | 401.2 / mi² | 348.5 / mi² | 371.1 / mi² | 381.1 / mi² | 383.6 / mi² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Smock kutoka 2000 hadi 2020
Kupungua kwa 7.5% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Smock | +19.4% | +0% | -7.5% |
| Pennsylvania | — | — | — |
| Marekani | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Smock
Umri wa wastani: miaka 43.3
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Smock | 43.3 yrs | 46.1 yrs | 40.7 yrs |
| Pennsylvania | 40.2 yrs | 41.6 yrs | 38.6 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Smock
Msongamano wa watu: 371 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Smock | 591 | 1.593 sq mi | 371 / mi² |
| Pennsylvania | 12.8 million | 46,054.2 sq mi | 278 / 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 Smock
Idadi ya watu inayokadiriwa kutoka 1730 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 Smock
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 Smock
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 |
|---|---|---|---|
| Smock | 10,908 tn | 18.46 tn | 6,848.7 tons/mi² |
| Pennsylvania | 244,899,672 tn | 19.12 tn | 5,317.6 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 Smock
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 10,908 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 18.46 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 6,848.7 tons/mi² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Wastani (7) |
| Kimbunga | Wastani (5) |
* 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, 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.