Kategorieë in Calamba

Calamba feite

gebied104.8 km²
Bevolking24 797
Manlike bevolking12 640 (51.0%)
Vroulike bevolking12 157 (49.0%)
Bevolkingsverandering (1975 to 2020)+589.4%
Bevolkingsverandering (2000 to 2020)+58.8%
Gemiddelde ouderdom24.6 jaar (Manlik: 23.6, Vroulik: 25.7)
BBP per capita (KKP)$5 342 (2022)
Area Kodes88
Lokaaltyd
TydsoneFilippynse standaardtyd
Lengte & Breedtegraad8.55870, 123.64250

Kaart van Calamba

Interaktiewe kaart

Calamba bevolking

Jaar 1975 tot 2030

Data197519902000201520202025*2030*
Bevolking3 59710 07515 61123 14924 79727 60629 946
Bevolkingsdigtheid34,3 / km²96,2 / km²149 / km²221 / km²236,7 / km²263,5 / km²285,9 / km²
* Geskat
Bronne: JRC (European Commission's Joint Research Centre) werk aan die GHS built-up grid

Calamba bevolkingsverandering van 2000 tot 2020

Toename van 58.8% van jaar 2000 tot 2020

PlekVerandering sedert 1975Verandering sedert 1990Verandering sedert 2000
Calamba+589.4%+146.1%+58.8%
Filippyne
Bronne: JRC (European Commission's Joint Research Centre) werk aan die GHS built-up grid

Calamba mediaan ouderdom

Mediaan ouderdom: 24.6 jaar

PlekGemiddelde ouderdomMediaan ouderdom (vroulik)Mediaan ouderdom (manlik)
Calamba24.6 yrs25.7 yrs23.6 yrs
Filippyne23.2 yrs23.6 yrs22.8 yrs
Bronne: CIESIN (Center for International Earth Science Information Network)

Calamba bevolkingsdigtheid

Bevolkingsdigtheid: 237 / km²

PlekBevolkinggebiedDigtheid
Calamba24 797104,8 km²237 / km²
Filippyne96,6 million296 939,4 km²325 / km²
Bronne: JRC (European Commission's Joint Research Centre) werk aan die GHS built-up grid

Calamba historiese en geskatte bevolking

Geskatte bevolking van 1860 tot 2100

Bronne:
  1. JRC (European Commission's Joint Research Centre) werk aan die GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [skakel] 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.

Menslike Ontwikkelingsindeks (HDI)

Statistiese saamgestelde indeks van lewensverwagting, opvoeding en per capita-inkomste.

Bron: [skakel] Kummu, M., Taka, M. &Guillaume, J. Roosterglobale datastelle vir Bruto Binnelandse Produk en Menslike Ontwikkelingsindeks oor 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4

Calamba se Bruto Binnelandse Produk (BBP)

BBP per capita, KKP (konstante 2017 internasionale $)

Data19901995200020052010201520202022
BBP per capita$2 295$2 460$2 785$3 898$3 039$5 351$4 664$5 342
Totale BBP$36,4 m$46,2 m$63,3 m$105,1 m$96,7 m$196,6 m$191,3 m$227,7 m
Bron: [skakel] 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

Calamba CO2-uitlatings

Koolstofdioksied (CO2) -uitlatings per capita per ton per jaar

PlekCO2-emissiesCO2-emissies per capitaCO2-emissiesintensiteit
Calamba27,045 tn1.09 tn258.2 tons/km²
Filippyne104,920,564 tn1.09 tn353.3 tons/km²
Bronne: [skakel] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Koolstofvoetspore van 13 000 stede. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Calamba CO2-uitlatings
2013 CO2-uitlatings (tonne/jaar)27,045 tn
2013 CO2-uitlatings (tonne/jaar) per capita1.09 tn
2013 CO2-uitlatings-intensiteit (tonne/km²/jaar)258.2 tons/km²

Natuurlike gevare risiko

Relatiewe risiko uit 10

GevaarRisikovlak
droogteMedium (5)
vloedMedium (7)
aardbewingMedium (6.6)
sikloonHoog (8)
grondverskuiwingHoog (8)

* Risiko's, veral met betrekking tot oorstromings of grondverskuiwings, is moontlik nie vir die hele gebied nie.

Bronne:
  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.

Onlangse aardbewings in die omgewing

Grootte 3.0 en groter

DatumTydMagnitudeDistancedieptePlekskakel
7/1/194:59 PM5.990.7 km533,000 m47km SSE of Lila, Philippinesusgs.gov
11/4/187:55 AM691.7 km600,710 m10km SSE of Sapad, Philippinesusgs.gov
6/5/1810:49 AM4.290.5 km10,000 m5km SW of Valencia, Philippinesusgs.gov
5/13/1810:12 PM4.785.5 km71,780 m21km NW of Ponot, Philippinesusgs.gov
1/26/1810:21 PM4.366.4 km70,390 m12km ESE of Zamboanguita, Philippinesusgs.gov
11/5/174:53 PM4.597.2 km13,430 m5km NNW of San Pablo, Philippinesusgs.gov
3/22/168:14 PM4.48.1 km1,000 m6km W of Bato, Philippinesusgs.gov
9/23/1511:53 AM4.545.9 km58,000 m17km SSE of Seres, Philippinesusgs.gov
9/5/151:49 PM4.648.3 km63,780 m17km SSW of Lazi, Philippinesusgs.gov
9/1/153:11 PM4.760.1 km96,970 m6km ESE of Lazi, Philippinesusgs.gov

Oor ons data

Die data op hierdie bladsy word geskat met behulp van 'n aantal publiek beskikbare gereedskap en hulpbronne. Dit word verskaf sonder waarborg en kan onakkuraathede bevat. Gebruik op eie risiko.