Kategoria katika Altavas
Kituo cha GesiMaduka ya nguoDiniKanisa la KristoKituo cha JumuiyaMakanisaOfisi ya SerikaliDuka la vipuri vya chumaMajengo ya MakaziElimuShule ya MwanzoShule ya UpiliKahawa migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateBenkiHuduma ya Hawilisho ya PesaZa saluniJengo la FletiJengo la MakaziDuka la dawaMaduka ya kambaManunuziUrahisi madukaChama cha Makazi
Viwanda
Mgawanyo wa biashara kwa sekta katika Altavas
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Usimamizi wa umma | 30 |
| Elimu | 26 |
| Mikahawa | 25 |
| Manunuzi | 24 |
| Makanisa | 17 |
| Mashirika mengine ya uanachama | 11 |
| Maduka ya vyakula na makubwa | 10 |
| Kahawa migahawa | 9 |
| Kituo cha kuuza mafuta | 9 |
| Dini | 8 |
| Maduka ya dawa na maduka ya madawa ya kulevya | 7 |
| Benki | 7 |
| Shule ya msingi ya msingi na | 6 |
Ukweli wa Altavas
| Area | 108.6 km² |
| Idadi ya Watu | 30,098 |
| Idadi ya Wanaume | 15,247 (50.7%) |
| Idadi ya Wanawake | 14,851 (49.3%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +229.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +20.9% |
| Umri Wastani | Miaka 24 (Mwanamume: 23.3, Mwanamke: 24.8) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 11.53800, 122.48700 |
| Posta | 5616 |
Ramani ya Altavas
Ramani inayoingiliana
Idadi ya watu ya Altavas
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 9,145 | 19,904 | 24,888 | 27,659 | 30,098 |
| Uzani wa Idadi ya Watu | 84.2 / km² | 183.3 / km² | 229.3 / km² | 254.8 / km² | 277.2 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Altavas kutoka 2000 hadi 2015
Ongezeko la 11.1% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Altavas | +202.4% | +39% | +11.1% |
| 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 Altavas
Umri wa wastani: miaka 24
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Altavas | 24 yrs | 24.8 yrs | 23.3 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Altavas
Msongamano wa watu: 277 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Altavas | 30,098 | 108.6 km² | 277 / 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 Altavas
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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Altavas
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Altavas
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 Altavas
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 |
|---|---|---|---|
| Altavas | 33,199 tn | 1.1 tn | 305.8 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 Altavas
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 33,199 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.1 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 305.8 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (6.4) |
| Flood | Medium (7) |
| Earthquake | Medium (7) |
| Cyclone | High (10) |
| Landslide | 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 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 |
|---|---|---|---|---|---|---|
| 11/5/18 | 2:54 AM | 4.9 | 96.8 km | 55,880 m | 2km SW of Igbaras, Philippines | usgs.gov |
| 11/4/18 | 11:46 PM | 4.7 | 85.8 km | 31,510 m | 5km NNW of San Remigio, Philippines | usgs.gov |
| 6/1/18 | 9:28 PM | 4.4 | 97 km | 34,920 m | 2km S of Limon, Philippines | usgs.gov |
| 10/8/17 | 12:42 PM | 4.5 | 32.4 km | 30,660 m | 3km WSW of Tapas, Philippines | usgs.gov |
| 7/13/17 | 11:19 PM | 4.8 | 84.5 km | 10,000 m | 6km ENE of Santa Fe, Philippines | usgs.gov |
| 8/15/16 | 11:34 AM | 4.9 | 78 km | 26,550 m | 3km WNW of Alimodian, Philippines | usgs.gov |
| 8/15/16 | 11:32 AM | 5.4 | 77.2 km | 29,000 m | 13km NE of San Remigio, Philippines | usgs.gov |
| 2/17/16 | 6:08 PM | 3.8 | 32.1 km | 37,620 m | 8km WNW of Manika, Philippines | usgs.gov |
| 11/29/14 | 4:37 PM | 4.5 | 53.9 km | 30,970 m | 3km N of Aquino, Philippines | usgs.gov |
| 10/3/14 | 8:05 AM | 5.5 | 46.5 km | 19,450 m | 7km E of San Francisco, 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.