Viwanda
Mgawanyo wa biashara kwa sekta katika Mandaon
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 45 |
| Makanisa | 18 |
| Mikahawa | 13 |
| Usimamizi wa umma | 12 |
| Shule ya msingi ya msingi na | 9 |
| Manunuzi | 8 |
| Dini | 7 |
| Matrekta na Vifaa vya mashamba | 5 |
Ukweli wa Mandaon
| Area | 227.6 km² |
| Idadi ya Watu | 47,597 |
| Idadi ya Wanaume | 24,387 (51.2%) |
| Idadi ya Wanawake | 23,210 (48.8%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +1049.1% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +90.7% |
| Umri Wastani | Miaka 17.7 (Mwanamume: 17.7, Mwanamke: 17.7) |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 12.33270, 123.39230 |
| Posta | 5411 |
Ramani ya Mandaon
Ramani inayoingiliana
Idadi ya watu ya Mandaon
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 4,142 | 14,538 | 24,959 | 43,806 | 47,597 |
| Uzani wa Idadi ya Watu | 18.2 / km² | 63.9 / km² | 109.7 / km² | 192.5 / km² | 209.2 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Mandaon kutoka 2000 hadi 2015
Ongezeko la 75.5% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Mandaon | +957.6% | +201.3% | +75.5% |
| 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 Mandaon
Umri wa wastani: miaka 17.7
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Mandaon | 17.7 yrs | 17.7 yrs | 17.7 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Mandaon
Msongamano wa watu: 209 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Mandaon | 47,597 | 227.6 km² | 209 / 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 Mandaon
Idadi ya watu inayokadiriwa kutoka 1920 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 Mandaon
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 Mandaon
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 |
|---|---|---|---|
| Mandaon | 38,352 tn | 0.81 tn | 168.5 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 Mandaon
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 38,352 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 0.81 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 168.5 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Medium (5) |
| Earthquake | High (7.7) |
| 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 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 |
|---|---|---|---|---|---|---|
| 6/11/19 | 11:02 PM | 4.5 | 48.4 km | 10,000 m | 2km SSE of Miaga, Philippines | usgs.gov |
| 6/11/19 | 9:03 PM | 4.6 | 56.2 km | 10,000 m | 12km NE of Miaga, Philippines | usgs.gov |
| 6/3/19 | 9:42 AM | 4.6 | 37.9 km | 24,650 m | 6km NNE of Marintoc, Philippines | usgs.gov |
| 5/19/19 | 10:45 PM | 4.5 | 29.8 km | 35,000 m | 7km SW of Tigbaw, Philippines | usgs.gov |
| 5/14/19 | 1:36 AM | 4.3 | 49.9 km | 35,000 m | 13km NW of Monreal, Philippines | usgs.gov |
| 1/5/19 | 1:05 PM | 4.2 | 28.9 km | 63,360 m | 10km SSE of Bangad, Philippines | usgs.gov |
| 9/21/17 | 3:39 AM | 4.5 | 53.1 km | 36,420 m | 6km ESE of Mabiton, Philippines | usgs.gov |
| 8/8/17 | 6:25 AM | 4.1 | 32.6 km | 114,700 m | 7km NNE of Mobo, Philippines | usgs.gov |
| 5/22/17 | 5:55 AM | 4.5 | 57.9 km | 59,890 m | 3km ENE of Recodo, Philippines | usgs.gov |
| 1/2/17 | 5:36 PM | 4.2 | 29.5 km | 10,370 m | 10km NNE of Aroroy, 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.