Viwanda
Mgawanyo wa biashara kwa sekta katika Pandan
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 18 |
Ukweli wa Pandan
| Area | 102.3 km² |
| Idadi ya Watu | 35,363 |
| Idadi ya Wanaume | 17,973 (50.8%) |
| Idadi ya Wanawake | 17,390 (49.2%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +916.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +83.2% |
| Umri Wastani | Miaka 23.1 (Mwanamume: 22.9, Mwanamke: 23.2) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 11.74479, 122.10027 |
| Posta | 1512, 5712 |
Ramani ya Pandan
Ramani inayoingiliana
Idadi ya watu ya Pandan
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 3,480 | 11,434 | 19,302 | 32,803 | 35,363 |
| Uzani wa Idadi ya Watu | 34 / km² | 111.8 / km² | 188.8 / km² | 320.8 / km² | 345.8 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Pandan kutoka 2000 hadi 2015
Ongezeko la 69.9% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Pandan | +842.6% | +186.9% | +69.9% |
| 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 Pandan
Umri wa wastani: miaka 23.1
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Pandan | 23.1 yrs | 23.2 yrs | 22.9 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Pandan
Msongamano wa watu: 346 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Pandan | 35,363 | 102.3 km² | 346 / 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 Pandan
Idadi ya watu inayokadiriwa kutoka 1910 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 Pandan
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 Pandan
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 |
|---|---|---|---|
| Pandan | 38,763 tn | 1.1 tn | 379.1 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 Pandan
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 38,763 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.1 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 379.1 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (7) |
| Flood | Medium (7) |
| Earthquake | Medium (6.8) |
| 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 |
|---|---|---|---|---|---|---|
| 11/4/18 | 11:46 PM | 4.7 | 94.6 km | 31,510 m | 5km NNW of San Remigio, Philippines | usgs.gov |
| 6/1/18 | 9:28 PM | 4.4 | 60 km | 34,920 m | 2km S of Limon, Philippines | usgs.gov |
| 10/8/17 | 12:42 PM | 4.5 | 71.1 km | 30,660 m | 3km WSW of Tapas, Philippines | usgs.gov |
| 7/13/17 | 11:19 PM | 4.8 | 47.6 km | 10,000 m | 6km ENE of Santa Fe, Philippines | usgs.gov |
| 9/30/16 | 9:40 PM | 4.4 | 78.6 km | 35,000 m | 5km NW of Odiongan, Philippines | usgs.gov |
| 8/15/16 | 11:32 AM | 5.4 | 93.7 km | 29,000 m | 13km NE of San Remigio, Philippines | usgs.gov |
| 7/24/16 | 4:22 AM | 4.5 | 53.9 km | 42,810 m | 13km ENE of Caluya, Philippines | usgs.gov |
| 2/17/16 | 6:08 PM | 3.8 | 37.1 km | 37,620 m | 8km WNW of Manika, Philippines | usgs.gov |
| 11/29/14 | 4:37 PM | 4.5 | 12.5 km | 30,970 m | 3km N of Aquino, Philippines | usgs.gov |
| 10/3/14 | 8:05 AM | 5.5 | 46.3 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.