Kategoria katika Lupon
Duka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiMuuza PikipikiUtengenezaji wa magariMaduka ya nguoDiniMakanisaOfisi ya SerikaliOfisi ya Serikali ya JijiDuka la ElektronikiDuka la Bidhaa za NyumbaniDuka la vipuri vya chumaMajengo ya MakaziElimuShule ya MwanzoShule ya UpiliTaasisi ya ElimuKivutio cha WataliInternet cafesKahawa migahawaKufunga chakula migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateBenkiHuduma ya Hawilisho ya PesaHospitaliUtabibuVinyoziDuka la UchapishajiJengo la FletiJengo la MakaziDuka la dawaDuka la JumlaManunuziUrahisi madukaUkumbi wa michezo ya mazoezi ya viungoUwanja wa kucheza Mpira wa kikapuChama cha MakaziHoteli na motelsHuduma ya TarishiMatembezi
Viwanda
Mgawanyo wa biashara kwa sekta katika Lupon
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 70 |
| Usimamizi wa umma | 49 |
| Manunuzi | 31 |
| Mikahawa | 29 |
| Makanisa | 19 |
| Dini | 17 |
| Nyingine malazi | 14 |
Ukweli wa Lupon
| Area | 219.8 km² |
| Idadi ya Watu | 57,767 |
| Idadi ya Wanaume | 29,741 (51.5%) |
| Idadi ya Wanawake | 28,026 (48.5%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +304.2% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +30.1% |
| Umri Wastani | Miaka 22.6 (Mwanamume: 22.8, Mwanamke: 22.5) |
| Mitaa | Barangay 20-B |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 6.89814, 126.00961 |
Ramani ya Lupon
Ramani inayoingiliana
Idadi ya watu ya Lupon
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 14,292 | 32,598 | 44,398 | 53,398 | 57,767 |
| Uzani wa Idadi ya Watu | 65 / km² | 148.3 / km² | 202 / km² | 243 / km² | 262.9 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Lupon kutoka 2000 hadi 2015
Ongezeko la 20.3% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Lupon | +273.6% | +63.8% | +20.3% |
| 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 Lupon
Umri wa wastani: miaka 22.6
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Lupon | 22.6 yrs | 22.5 yrs | 22.8 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Lupon
Msongamano wa watu: 263 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Lupon | 57,767 | 219.8 km² | 263 / 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 Lupon
Idadi ya watu inayokadiriwa kutoka 1870 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 Lupon
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Lupon
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 Lupon
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 |
|---|---|---|---|
| Lupon | 58,551 tn | 1.01 tn | 266.4 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 Lupon
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 58,551 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.01 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 266.4 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (10) |
| Earthquake | High (8.8) |
| Cyclone | High (8) |
| Landslide | High (10) |
* 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 |
|---|---|---|---|---|---|---|
| 10/3/18 | 9:44 PM | 4.5 | 27.6 km | 35,000 m | 6km ESE of Aumbay, Philippines | usgs.gov |
| 6/10/18 | 8:21 AM | 4.5 | 35.3 km | 74,580 m | 15km ENE of Tibanbang, Philippines | usgs.gov |
| 8/30/17 | 5:31 PM | 4.5 | 20.5 km | 29,380 m | 12km SW of Tombongon, Philippines | usgs.gov |
| 4/1/17 | 1:33 PM | 4.3 | 26.3 km | 124,690 m | 12km S of San Remigio, Philippines | usgs.gov |
| 3/8/17 | 6:50 PM | 4.3 | 25.1 km | 57,880 m | 3km NW of Sigaboy, Philippines | usgs.gov |
| 1/28/17 | 3:23 AM | 4.4 | 37.3 km | 153,360 m | 28km W of Sigaboy, Philippines | usgs.gov |
| 1/21/17 | 11:45 PM | 4.2 | 36.4 km | 76,280 m | 13km S of Tamisan, Philippines | usgs.gov |
| 12/5/16 | 3:38 PM | 4.5 | 18 km | 61,110 m | 2km E of Davan, Philippines | usgs.gov |
| 11/23/16 | 11:24 PM | 4.5 | 25.7 km | 19,360 m | 12km ENE of Tombongon, Philippines | usgs.gov |
| 7/18/16 | 2:04 PM | 4.2 | 20.4 km | 54,270 m | 9km ENE of Baon, 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.