Kategoria katika Allen
Duka la Vipuri vya MagariKituo cha GesiUtengenezaji wa magariMsambazaji wa Maji ya ChupaMaduka ya nguoOfisi ya SerikaliDuka la ElektronikiMajengo ya MakaziElimuShule ya MwanzoTaasisi ya ElimuKivutio cha WataliBaa, baa na MikahawaKufunga chakula migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateBenkiHuduma ya Hawilisho ya PesaJengo la FletiJengo la MakaziDuka la dawaDuka la JumlaManunuziChama cha MakaziHoteli na motelsHuduma ya TarishiHuduma za UsafiriKitanda na kifungua kinywaMatembeziUkodishaji wa Nyumba Ndogo ya Likizo
Viwanda
Mgawanyo wa biashara kwa sekta katika Allen
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Mikahawa | 37 |
| Manunuzi | 27 |
| Elimu | 24 |
| Hoteli na motels | 12 |
| Nyingine malazi | 8 |
| Usimamizi wa umma | 8 |
| Uchumi mwingine | 8 |
| Maduka ya nguo | 8 |
| Mashirika ya Usafiri | 8 |
| Kahawa migahawa | 7 |
| Maduka ya dawa na maduka ya madawa ya kulevya | 7 |
Ukweli wa Allen
| Area | 52.1 km² |
| Idadi ya Watu | 27,701 |
| Idadi ya Wanaume | 14,140 (51.0%) |
| Idadi ya Wanawake | 13,561 (49.0%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +544.4% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +54.5% |
| Umri Wastani | Miaka 21.8 (Mwanamume: 21.3, Mwanamke: 22.3) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 12.50060, 124.28490 |
| Posta | 6405 |
Ramani ya Allen
Ramani inayoingiliana
Idadi ya watu ya Allen
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 4,299 | 11,995 | 17,927 | 25,633 | 27,701 |
| Uzani wa Idadi ya Watu | 82.6 / km² | 230.4 / km² | 344.3 / km² | 492.4 / km² | 532.1 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Allen kutoka 2000 hadi 2015
Ongezeko la 43% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Allen | +496.3% | +113.7% | +43% |
| Ufilipino | +146.5% | +63.3% | +29.5% |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Allen
Umri wa wastani: miaka 21.8
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Allen | 21.8 yrs | 22.3 yrs | 21.3 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Allen
Msongamano wa watu: 532 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Allen | 27,701 | 52.1 km² | 532 / km² |
| Ufilipino | 96.6 million | 296,939.4 km² | 325 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Allen
Idadi ya watu inayokadiriwa kutoka 1880 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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Allen
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Allen
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 Allen
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 |
|---|---|---|---|
| Allen | 30,243 tn | 1.09 tn | 580.9 tons/km² |
| Ufilipino | 104,920,564 tn | 1.09 tn | 353.3 tons/km² |
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 Allen
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 30,243 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.09 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 580.9 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (5) |
| Earthquake | High (8) |
| Cyclone | High (10) |
| Landslide | Medium (6) |
| Volcano | Medium (6) |
* 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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, 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.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Volcano Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BR8Q45.
- 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 |
|---|---|---|---|---|---|---|
| 6/22/19 | 7:19 AM | 4.5 | 52.9 km | 65,160 m | 33km ENE of Biri, Philippines | usgs.gov |
| 6/11/19 | 9:03 PM | 4.6 | 45.9 km | 10,000 m | 12km NE of Miaga, Philippines | usgs.gov |
| 3/19/19 | 2:59 AM | 4.2 | 53 km | 113,590 m | 2km N of Casiguran, Philippines | usgs.gov |
| 2/28/19 | 9:47 PM | 4.2 | 45.9 km | 104,140 m | 25km NE of Biri, Philippines | usgs.gov |
| 10/17/18 | 6:34 PM | 5.1 | 43.7 km | 101,900 m | 0km E of Cervantes, Philippines | usgs.gov |
| 10/3/18 | 3:46 PM | 4.5 | 33.3 km | 110,670 m | 2km NE of Bulusan, Philippines | usgs.gov |
| 7/17/17 | 8:43 AM | 4.4 | 34.9 km | 10,000 m | 8km S of Quezon, Philippines | usgs.gov |
| 7/14/17 | 10:55 AM | 4.6 | 39.5 km | 68,700 m | 22km N of Bobon, Philippines | usgs.gov |
| 12/20/15 | 9:28 AM | 5.2 | 40.9 km | 111,100 m | 19km N of Biri, Philippines | usgs.gov |
| 11/27/15 | 5:36 PM | 4.1 | 43 km | 86,970 m | 23km ENE of Biri, Philippines | 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.