Viwanda

Mgawanyo wa biashara kwa sekta katika Ramos

Maelezo ya ViwandaIdadi ya Uanzishwaji
Elimu10
Dini8
Mikahawa7
Makanisa7
Usimamizi wa umma6
Usafiri5

Ukweli wa Ramos

Area23.4 km²
Idadi ya Watu29,551
Idadi ya Wanaume14,982 (50.7%)
Idadi ya Wanawake14,569 (49.3%)
Mabadiliko ya idadi ya watu (1975 to 2020)+365.7%
Mabadiliko ya idadi ya watu (2000 to 2020)+32.1%
Umri WastaniMiaka 24.9 (Mwanamume: 24.2, Mwanamke: 25.7)
wakati wa Kawaida
Ukanda wa saaSaa za Wastani za Ufilipino
Latitudo na Longitudo15.66530, 120.64060
Posta2311

Ramani ya Ramos

Ramani inayoingiliana

Idadi ya watu ya Ramos

Miaka 1975 hadi 2020

Data19751990200020152020
Idadi ya Watu6,34616,19422,36427,07829,551
Uzani wa Idadi ya Watu271.5 / km²692.8 / km²956.7 / km²1,158.4 / km²1,264.2 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Mabadiliko ya idadi ya watu ya Ramos kutoka 2000 hadi 2015

Ongezeko la 21.1% kutoka mwaka 2000 hadi 2015

LocationMabadiliko tangu 1975Mabadiliko tangu 1990Mabadiliko tangu 2000
Ramos+326.7%+67.2%+21.1%
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 Ramos

Umri wa wastani: miaka 24.9

LocationUmri WastaniUmri wa Kati (Kike)Umri wa Kati (Mwanaume)
Ramos24.9 yrs25.7 yrs24.2 yrs
Ufilipino23.2 yrs23.6 yrs22.8 yrs
Vyanzo: CIESIN (Center for International Earth Science Information Network)

Msongamano wa watu wa Ramos

Msongamano wa watu: 1,264 / km²

LocationIdadi ya WatuAreaMsongamano
Ramos29,55123.4 km²1,264 / km²
Ufilipino96.6 million296,939.4 km²325 / km²
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid

Idadi ya watu ya kihistoria na inayokadiriwa ya Ramos

Idadi ya watu inayokadiriwa kutoka 1860 hadi 2100

Vyanzo:
  1. JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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.

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 Ramos

Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwaka

LocationUzalishaji wa CO2Uzalishaji wa CO2 kwa CapitaUzito wa uzalishaji wa CO2
Ramos39,088 tn1.32 tn1,672.2 tons/km²
Ufilipino104,920,564 tn1.09 tn353.3 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 Ramos
Utoaji wa CO2 wa 2013 (tani/mwaka)39,088 tn
Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu1.32 tn
Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka)1,672.2 tons/km²

Hatari ya Hatari za Asili

Relative risk out of 10

HatariRisk Level
DroughtLow (2)
FloodHigh (10)
EarthquakeMedium (7)
CycloneHigh (10)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Vyanzo:
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

TareheWakatiMagnitudeDistanceUndaniLocationKiunga
2/7/1910:28 PM4.315.7 km156,490 m1km SSW of Maturanoc, Philippinesusgs.gov
2/6/1910:25 AM5.521.5 km130,199 m1km NNE of Guiling, Philippinesusgs.gov
12/28/1811:47 AM4.638.5 km165,920 m1km ESE of Concepcion, Philippinesusgs.gov
4/9/151:00 PM4.645.7 km35,060 m2km NNE of Porais, Philippinesusgs.gov
7/27/1411:27 AM4.243.1 km53,040 m3km N of Taboy Norte, Philippinesusgs.gov
12/18/132:46 PM4.947.5 km51,430 m9km ENE of Alac, Philippinesusgs.gov
11/19/127:54 AM4.143.9 km158,800 mLuzon, Philippinesusgs.gov
3/31/1110:01 PM4.336.8 km28,700 mLuzon, Philippinesusgs.gov
10/7/1010:39 PM4.725 km39,700 mLuzon, Philippinesusgs.gov
8/10/0810:07 AM4.540.1 km193,200 mLuzon, Philippinesusgs.gov

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.