Kategoria katika Vintar
Kituo cha GesiPikipiki kukarabatiUkulimaChama au ShirikaDiniJiko la SupuKanisa la dhehebu la FoursquareKituo cha JumuiyaMakanisaOfisi ya SerikaliOfisi ya Serikali ya KaribuMajengo ya MakaziElimuShule ya MwanzoShule ya UpiliTaasisi ya ElimuKivutio cha WataliKufunga chakula migahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateVitalu vya na vifaa bustaniMakaburiniJengo la MakaziDuka la bidhaa TofautiDuka la dawaDuka la JumlaManunuziUrahisi madukaKlabu ya MichezoChama cha Makazi
Viwanda
Mgawanyo wa biashara kwa sekta katika Vintar
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 49 |
| Mikahawa | 22 |
| Makanisa | 22 |
| Dini | 18 |
| Usimamizi wa umma | 17 |
| Manunuzi mengineyo | 11 |
| Manunuzi | 9 |
| Matrekta na Vifaa vya mashamba | 8 |
| Mashirika yote ya uanachama | 8 |
| Makaburi na mahali pa kuchomea maiti | 7 |
Ukweli wa Vintar
| Area | 443.1 km² |
| Idadi ya Watu | 36,242 |
| Idadi ya Wanaume | 18,608 (51.3%) |
| Idadi ya Wanawake | 17,634 (48.7%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +599.5% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +57.4% |
| Umri Wastani | Miaka 27.2 (Mwanamume: 26.6, Mwanamke: 28) |
| Mitaa | Brgy 4, Brgy 2, Barangay 2, Brgy 3 San Pedro, Brgy 2 San Nicolas |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Ufilipino |
| Latitudo na Longitudo | 18.22840, 120.64750 |
| Posta | 2915 |
Ramani ya Vintar
Ramani inayoingiliana
Idadi ya watu ya Vintar
Miaka 1975 hadi 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Idadi ya Watu | 5,181 | 14,805 | 23,029 | 33,615 | 36,242 |
| Uzani wa Idadi ya Watu | 11.7 / km² | 33.4 / km² | 52 / km² | 75.9 / km² | 81.8 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Mabadiliko ya idadi ya watu ya Vintar kutoka 2000 hadi 2015
Ongezeko la 46% kutoka mwaka 2000 hadi 2015
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Vintar | +548.8% | +127.1% | +46% |
| 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 Vintar
Umri wa wastani: miaka 27.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Vintar | 27.2 yrs | 28 yrs | 26.6 yrs |
| Ufilipino | 23.2 yrs | 23.6 yrs | 22.8 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Vintar
Msongamano wa watu: 81.8 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Vintar | 36,242 | 443.1 km² | 81.8 / 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 Vintar
Idadi ya watu inayokadiriwa kutoka 1830 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.
Mitaa ya Vintar
Asilimia ya biashara kwa mtaa katika Vintar
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Vintar
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Vintar
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 Vintar
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 |
|---|---|---|---|
| Vintar | 44,989 tn | 1.24 tn | 101.5 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 Vintar
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 44,989 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 1.24 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 101.5 tons/km² |
Hatari ya Hatari za Asili
Relative risk out of 10
| Hatari | Risk Level |
|---|---|
| Earthquake | Medium (7) |
| 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. 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 |
|---|---|---|---|---|---|---|
| 4/25/19 | 7:00 PM | 4.6 | 8.6 km | 35,000 m | 7km N of Piddig, Philippines | usgs.gov |
| 1/12/19 | 1:20 PM | 4.7 | 19.4 km | 49,240 m | 2km ENE of Batac City, Philippines | usgs.gov |
| 11/25/18 | 9:21 AM | 4.7 | 37.8 km | 30,120 m | 4km SE of Nueva Era, Philippines | usgs.gov |
| 10/30/18 | 1:32 AM | 4.6 | 25.3 km | 35,000 m | 1km WSW of Callaguip, Philippines | usgs.gov |
| 10/27/18 | 10:39 AM | 4.6 | 29.2 km | 10,000 m | 11km S of Adams, Philippines | usgs.gov |
| 9/5/18 | 2:25 AM | 4.3 | 20.2 km | 37,350 m | 10km NNW of Carasi, Philippines | usgs.gov |
| 6/6/18 | 9:12 AM | 4.5 | 11.9 km | 39,050 m | 1km SSE of San Lorenzo, Philippines | usgs.gov |
| 5/30/18 | 10:46 AM | 4.6 | 24.8 km | 52,710 m | 4km NW of Espiritu, Philippines | usgs.gov |
| 2/6/18 | 4:59 AM | 4.8 | 14.2 km | 54,470 m | 9km WNW of Carasi, Philippines | usgs.gov |
| 1/9/17 | 9:20 AM | 4.8 | 20.1 km | 36,860 m | 1km NNW of Batac City, 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.