Viwanda
Mgawanyo wa biashara kwa sekta katika Balatan
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 26 |
| Makanisa | 12 |
| Nyingine malazi | 10 |
| Manunuzi | 10 |
| Usimamizi wa umma | 9 |
| Usafiri | 8 |
| Michezo na kujivinjari | 6 |
| Dini | 5 |
| Vilabu vya michezo | 5 |
| Maduka ya vyakula na makubwa | 5 |
Ukweli wa Balatan
| Area | 46.9 km² |
| Idadi ya Watu | 30,751 |
| Idadi ya Wanaume | 15,952 (51.9%) |
| Idadi ya Wanawake | 14,799 (48.1%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +953.8% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +85.4% |
| Umri Wastani | Miaka 18.7 (Mwanamume: 18.5, Mwanamke: 19) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 13.32111, 123.23333 |
| Posta | 4436 |
Ramani ya Balatan
Ramani inayoingiliana
Idadi ya watu ya Balatan
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 2,918 | 9,743 | 16,583 | 28,531 | 30,751 |
| Uzani wa Idadi ya Watu | 62.2 / km² | 207.6 / km² | 353.3 / km² | 607.9 / km² | 655.1 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Balatan kutoka 2000 hadi 2015
Ongezeko la 72% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Balatan | +877.8% | +192.8% | +72% |
| 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 Balatan
Umri wa wastani: miaka 18.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Balatan | 18.7 yrs | 19 yrs | 18.5 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Balatan
Msongamano wa watu: 655 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Balatan | 30,751 | 46.9 km² | 655 / 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 Balatan
Idadi ya watu inayokadiriwa kutoka 1890 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 Balatan
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 Balatan
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 |
|---|---|---|---|
| Balatan | 28,331 tn | 0.92 tn | 603.6 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 Balatan
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 28,331 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 0.92 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 603.6 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (5) |
| Flood | Medium (7) |
| Earthquake | High (8) |
| Cyclone | High (10) |
| Landslide | High (8) |
* 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 |
|---|---|---|---|---|---|---|
| 5/14/19 | 1:36 AM | 4.3 | 74.6 km | 35,000 m | 13km NW of Monreal, Philippines | usgs.gov |
| 12/10/18 | 6:14 PM | 4.5 | 64 km | 35,000 m | 4km WSW of San Andres, Philippines | usgs.gov |
| 10/6/18 | 2:16 PM | 4.2 | 59.7 km | 42,750 m | 4km N of Bao, Philippines | usgs.gov |
| 11/5/17 | 3:36 PM | 4.6 | 67.3 km | 54,840 m | 4km E of Maslog, Philippines | usgs.gov |
| 9/21/17 | 3:39 AM | 4.5 | 57.6 km | 36,420 m | 6km ESE of Mabiton, Philippines | usgs.gov |
| 7/10/16 | 11:37 AM | 4.5 | 67.7 km | 40,430 m | 13km W of Bao, Philippines | usgs.gov |
| 1/13/16 | 8:46 PM | 4.2 | 26.5 km | 35,000 m | 5km NNE of Cagmanaba, Philippines | usgs.gov |
| 3/16/15 | 12:09 AM | 4.4 | 38.8 km | 35,000 m | 3km WSW of Pio Duran, Philippines | usgs.gov |
| 2/28/15 | 12:31 AM | 4.2 | 64.1 km | 29,050 m | 0km NW of Pilar, Philippines | usgs.gov |
| 1/16/15 | 9:57 PM | 4.2 | 62 km | 91,540 m | 2km S of Donsol, 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.