Kategoria katika Pitogo
Kituo cha GesiUkulimaMaduka ya nguoDiniMakanisaOfisi ya SerikaliMajengo ya MakaziElimuShule ya MwanzoTaasisi ya ElimuKivutio cha WataliMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaBenkiDuka la UchapishajiJengo la MakaziDuka la JumlaManunuziUrahisi madukaUmma mbugaChama cha MakaziHoteli na motelsMatembezi
Viwanda
Mgawanyo wa biashara kwa sekta katika Pitogo
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 18 |
| Manunuzi | 11 |
| Mikahawa | 10 |
| Usimamizi wa umma | 8 |
| Makanisa | 7 |
| Manunuzi mengineyo | 5 |
Ukweli wa Pitogo
| Area | 80.1 km² |
| Idadi ya Watu | 25,950 |
| Idadi ya Wanaume | 13,426 (51.7%) |
| Idadi ya Wanawake | 12,524 (48.3%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +284.6% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +26.8% |
| Umri Wastani | Miaka 22.7 (Mwanamume: 22.5, Mwanamke: 23) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 13.78380, 122.09020 |
| Posta | 4308 |
Ramani ya Pitogo
Ramani inayoingiliana
Idadi ya watu ya Pitogo
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 6,748 | 15,720 | 20,464 | 23,863 | 25,950 |
| Uzani wa Idadi ya Watu | 84.3 / km² | 196.3 / km² | 255.6 / km² | 298.1 / km² | 324.1 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Pitogo kutoka 2000 hadi 2015
Ongezeko la 16.6% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Pitogo | +253.6% | +51.8% | +16.6% |
| 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 Pitogo
Umri wa wastani: miaka 22.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Pitogo | 22.7 yrs | 23 yrs | 22.5 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Pitogo
Msongamano wa watu: 324 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Pitogo | 25,950 | 80.1 km² | 324 / 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 Pitogo
Idadi ya watu inayokadiriwa kutoka 1850 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 Pitogo
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 Pitogo
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 |
|---|---|---|---|
| Pitogo | 28,957 tn | 1.12 tn | 361.7 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 Pitogo
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 28,957 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.12 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 361.7 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (4) |
| Flood | Medium (4) |
| Earthquake | High (8) |
| 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 |
|---|---|---|---|---|---|---|
| 7/4/19 | 3:00 AM | 4.5 | 66.8 km | 10,000 m | 0km SSE of Montecillo, Philippines | usgs.gov |
| 2/6/19 | 6:01 AM | 4.6 | 28.1 km | 10,000 m | 5km S of Marao, Philippines | usgs.gov |
| 12/10/18 | 6:14 PM | 4.5 | 80.2 km | 35,000 m | 4km WSW of San Andres, Philippines | usgs.gov |
| 10/6/18 | 2:16 PM | 4.2 | 80.1 km | 42,750 m | 4km N of Bao, Philippines | usgs.gov |
| 7/16/18 | 10:09 AM | 4.3 | 66.8 km | 40,310 m | 29km NE of Perez, Philippines | usgs.gov |
| 7/5/18 | 9:00 PM | 4.4 | 67.4 km | 35,000 m | 21km NNE of Perez, Philippines | usgs.gov |
| 7/10/16 | 11:37 AM | 4.5 | 68.1 km | 40,430 m | 13km W of Bao, Philippines | usgs.gov |
| 6/22/16 | 2:27 AM | 4.3 | 5.1 km | 93,020 m | 5km ENE of Pitogo, Philippines | usgs.gov |
| 2/5/16 | 5:28 AM | 4.4 | 30.2 km | 10,000 m | 8km ESE of San Francisco, Philippines | usgs.gov |
| 2/5/16 | 5:00 AM | 5.3 | 26 km | 10,000 m | 3km ENE 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.