Kategoria katika Basud
Eneo la Kuosha GariKituo cha GesiPikipiki kukarabatiUkulimaMaduka ya nguoDiniKanisa KatolikiKituo cha JumuiyaMakanisaOfisi ya SerikaliDuka la ElektronikiDuka la Vifaa vya ujenziDuka la vipuri vya chumaMajengo ya MakaziElimuShule ya MwanzoKivutio cha WataliInternet cafesKahawa migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMchinjajiMikahawaMkahawa wa KifilipinoUokaji mikateVitalu vya na vifaa bustaniBenkiWakala wa BimaKituo cha Afya cha JamiiGhorofa yenye VyumbaJengo la FletiJengo la MakaziDuka KuuDuka la JumlaManunuziUrahisi madukaUwanja wa kupigia kambiChama cha MakaziHoteli na motelsMatembeziVyumba vya kulala
Viwanda
Mgawanyo wa biashara kwa sekta katika Basud
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Manunuzi | 35 |
| Mikahawa | 32 |
| Elimu | 32 |
| Maduka ya vyakula na makubwa | 25 |
| Usafiri | 19 |
| Makanisa | 16 |
| Usimamizi wa umma | 13 |
| Dini | 12 |
| Duka la vipuri vya chuma | 10 |
| Nyingine malazi | 9 |
Ukweli wa Basud
| Area | 190.3 km² |
| Idadi ya Watu | 38,654 |
| Idadi ya Wanaume | 19,926 (51.5%) |
| Idadi ya Wanawake | 18,728 (48.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +380.8% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +37.4% |
| Umri Wastani | Miaka 21.3 (Mwanamume: 21, Mwanamke: 21.6) |
| Mitaa | Barangay Manog |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 14.06500, 122.96420 |
| Posta | 4608 |
Ramani ya Basud
Ramani inayoingiliana
Idadi ya watu ya Basud
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 8,040 | 19,888 | 28,140 | 35,750 | 38,654 |
| Uzani wa Idadi ya Watu | 42.2 / km² | 104.5 / km² | 147.9 / km² | 187.8 / km² | 203.1 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Basud kutoka 2000 hadi 2015
Ongezeko la 27% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Basud | +344.7% | +79.8% | +27% |
| 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 Basud
Umri wa wastani: miaka 21.3
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Basud | 21.3 yrs | 21.6 yrs | 21 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Basud
Msongamano wa watu: 203 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Basud | 38,654 | 190.3 km² | 203 / 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 Basud
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 Basud
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 Basud
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 |
|---|---|---|---|
| Basud | 42,707 tn | 1.1 tn | 224.4 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 Basud
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 42,707 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.1 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 224.4 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 |
|---|---|---|---|---|---|---|
| 12/10/18 | 6:14 PM | 4.5 | 91.4 km | 35,000 m | 4km WSW of San Andres, Philippines | usgs.gov |
| 10/6/18 | 2:16 PM | 4.2 | 45 km | 42,750 m | 4km N of Bao, Philippines | usgs.gov |
| 7/16/18 | 10:09 AM | 4.3 | 97.9 km | 40,310 m | 29km NE of Perez, Philippines | usgs.gov |
| 10/31/17 | 3:14 AM | 4.9 | 97.6 km | 32,659 m | 52km NW of Pandan, Philippines | usgs.gov |
| 7/10/16 | 11:37 AM | 4.5 | 54.1 km | 40,430 m | 13km W of Bao, Philippines | usgs.gov |
| 6/22/16 | 2:27 AM | 4.3 | 94.5 km | 93,020 m | 5km ENE of Pitogo, Philippines | usgs.gov |
| 3/21/16 | 12:35 PM | 4.4 | 85 km | 52,140 m | 11km SSE of Jomalig, Philippines | usgs.gov |
| 3/16/16 | 9:45 AM | 4.3 | 87.3 km | 43,690 m | 48km ENE of Jomalig, Philippines | usgs.gov |
| 3/13/16 | 5:51 AM | 4.6 | 45.7 km | 44,160 m | 33km NE of Sabang Indan, Philippines | usgs.gov |
| 2/5/16 | 5:28 AM | 4.4 | 73.2 km | 10,000 m | 8km ESE 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.