industrije

Distribucija tvrtki po djelatnostima u Cervantes

Činjenice o Cervantes

područje206.1 km²
Stanovništvo22.152
Muška populacija11.589 (52.3%)
Ženska populacija10.563 (47.7%)
Promjena stanovništva (1975 to 2020)+1947.3%
Promjena stanovništva (2000 to 2020)+129.8%
Srednja dob22.3 godina (Muški: 22.4, Ženski: 22.2)
BDP po glavi stanovnika (PKM)$2.830 (2022)
SusjedstvaRosario, Aluling, Alluling, Ilocos Sur Polytechnic State College, Cervantes Campus
Lokalno vrijeme
Vremenska zonafilipinsko standardno vrijeme
Geografska duljina i širina16.99090, 120.73590
Poštanske Brojeve2718

Karta Cervantes

Interaktivna karta

Cervantes stanovništvo

Godine 1975 do 2030

Data197519902000201520202025*2030*
Stanovništvo1.0824.4839.63921.93322.15223.69124.877
Gustoća naseljenosti5,3 / km²21,8 / km²46,8 / km²106,4 / km²107,5 / km²115 / km²120,7 / km²
* Projicirano
Izvori: JRC (European Commission's Joint Research Centre) rade na GHS built-up grid

Cervantes promjena stanovništva od 2000 do 2020

Povećanje od 129.8% od godine 2000 do 2020

MjestoPromjena od 1975Promjena od 1990Promjena od 2000
Cervantes+1947.3%+394.1%+129.8%
Filipini
Izvori: JRC (European Commission's Joint Research Centre) rade na GHS built-up grid

Cervantes medijan dobi

Medijan dobi: 22.3 godina

MjestoSrednja dobSrednja dob (žensko)Srednja dob (muško)
Cervantes22.3 yrs22.2 yrs22.4 yrs
Filipini23.2 yrs23.6 yrs22.8 yrs
Izvori: CIESIN (Center for International Earth Science Information Network)

Cervantes gustoća stanovništva

Gustoća stanovništva: 108 / km²

MjestoStanovništvopodručjeGustoća
Cervantes22.152206,1 km²108 / km²
Filipini96,6 million296.939,4 km²325 / km²
Izvori: JRC (European Commission's Joint Research Centre) rade na GHS built-up grid

Cervantes povijesno i projicirano stanovništvo

Procijenjeno stanovništvo od 1940 do 2100

Izvori:
  1. JRC (European Commission's Joint Research Centre) rade na GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [Veza] 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.

Četvrti u Cervantes

Postotak tvrtki po četvrti u Cervantes

Pozivni Brojevi

Postotni pozivni brojevi koje koriste tvrtke u Cervantes

Indeks ljudskog razvoja (HDI)

Statistički složeni indeks očekivanog trajanja života, obrazovanja i dohotka po stanovniku.

Izvor: [Veza] 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

Bruto domaći proizvod (BDP) grada Cervantes

BDP po glavi stanovnika, PKM (stalne međunarodne $ iz 2017.)

Data19901995200020052010201520202022
BDP po glavi stanovnika$1.095$1.180$1.445$1.736$1.969$1.704$2.352$2.830
Ukupni BDP$6,7 mil.$8,4 mil.$12,7 mil.$19,1 mil.$28,6 mil.$30 mil.$44,9 mil.$55,4 mil.
Izvor: [Veza] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x

Cervantes emisije CO2

Emisije ugljičnog dioksida (CO2) po glavi stanovnika u tonama godišnje

MjestoEmisija CO2Emisija CO2 po glavi stanovnikaIntenzitet emisija CO2
Cervantes26,424 tn1.19 tn128.2 tons/km²
Filipini104,920,564 tn1.09 tn353.3 tons/km²
Izvori: [Veza] 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
Cervantes emisije CO2
Emisije CO2 2013. (tone/godina)26,424 tn
Emisije CO2 2013. (tone/godina) po stanovniku1.19 tn
Intenzitet emisija CO2 2013. (tone/km²/godina)128.2 tons/km²

Rizik od prirodnih opasnosti

Relativni rizik od 10

OpasnostRazina rizika
SušaNiska (2)
PoplavaVisoka (10)
PotresVisoka (8)
CiklonVisoka (10)
klizišteVisoka (10)

* Rizik, posebno koji se odnosi na poplavu ili klizište, ne može biti za cijelo područje.

Izvori:
  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, 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

Nedavni zemljotresi u blizini

Magnitude 3.0 i više

DatumVrijemeMagnitudeDistanceDubinaMjestoVeza
3/1/198:51 PM4.512.5 km115,480 m5km ESE of Sigay, Philippinesusgs.gov
2/4/1912:55 PM4.717.4 km92,280 m2km SSE of Quirino, Philippinesusgs.gov
7/7/176:53 PM4.741.9 km47,920 m6km ENE of Sadanga, Philippinesusgs.gov
3/18/179:03 PM4.633.3 km93,700 m4km W of Tacadang, Philippinesusgs.gov
12/23/167:48 PM4.442 km102,010 m3km SW of Santol, Philippinesusgs.gov
5/23/1611:57 PM4.747.3 km75,280 m3km SSW of Pilar, Philippinesusgs.gov
5/8/151:11 PM436.4 km112,930 m3km SW of Kibungan, Philippinesusgs.gov
3/14/152:37 PM4.544.3 km65,680 m4km WSW of Balaoan, Philippinesusgs.gov
7/12/1212:09 AM4.642.2 km51,300 mLuzon, Philippinesusgs.gov
7/6/1110:58 PM4.550.2 km10,000 mLuzon, Philippinesusgs.gov

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