產業領域

Naval按行业的企业分布

Naval事实

84.6 km²
人口63,189
男性人口32,028 (50.7%)
女性人口31,161 (49.3%)
人口变化(1975 to 2020)+964.7%
人口变化(2000 to 2020)+86.8%
年齡中位數21.5岁 (男:21,女:22.1)
人均GDP(購買力平價)$3,369 (2022)
鄰近社區Caraycaray, Larrazabal, Barangay Higatangan
當地時間
時區菲律宾标准时间
經度與緯度11.56056, 124.39750
邮政编码6543

Naval的地圖

互動地圖

Naval的人口

1975年至2030年

Data197519902000201520202025*2030*
人口5,93520,04533,81958,12063,18970,59577,644
人口密度70.1 / km²236.9 / km²399.6 / km²686.8 / km²746.7 / km²834.2 / km²917.5 / km²
* 预测
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Naval从2000年到2020年的人口变化

从2000年到2020年增长了86.8%

位置自1975以来的变化自1990以来的变化自2000以来的变化
Naval+964.7%+215.2%+86.8%
菲律宾
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Naval的中位年龄

中位年龄:21.5岁

位置年齡中位數中位年齡(女)中位年齡(男)
Naval21.5 yrs22.1 yrs21 yrs
菲律宾23.2 yrs23.6 yrs22.8 yrs
来源: CIESIN (Center for International Earth Science Information Network)

Naval的人口密度

人口密度:747 / km²

位置人口密度
Naval63,18984.6 km²747 / km²
菲律宾96.6 million296,939.4 km²325 / km²
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Naval的历史和预测人口

从1880到2100的估计人口

来源:
  1. JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [鏈接] 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.

电话区号

Naval的企業使用的區碼百分比

价格分布

Naval企業(按價格分佈)

人類發展指數(HDI)

預期壽命,教育程度和人均收入的統計綜合指數。

来源: [鏈接] 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

Naval的國內生產毛額(GDP)

人均GDP,購買力平價(2017年不變國際元)

Data19901995200020052010201520202022
人均GDP$1,633$1,740$1,539$1,690$2,686$2,198$2,831$3,369
GDP總量$1652.6万$2200万$2384.3万$3302.2万$6960.1万$6481.1万$9661.3万$1.3亿
来源: [鏈接] 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

Naval的CO2排放

每年人均二氧化碳(CO2)排放量(噸)

位置二氧化碳排放量人均二氧化碳排放量二氧化碳排放強度
Naval67,151 tn1.06 tn793.5 tons/km²
菲律宾104,920,564 tn1.09 tn353.3 tons/km²
来源: [鏈接] 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
Naval的CO2排放
2013年CO2排放量(吨/年)67,151 tn
2013年人均CO2排放量(吨/年)1.06 tn
2013年CO2排放强度(吨/km²/年)793.5 tons/km²

自然災害風險

相對風險(滿分10分)

危险风险级别
乾旱中等 (5)
地震 (8)
氣旋 (10)
滑坡 (9)

*風險可能並不涉及整個地區,尤其是洪水或山體滑坡。

来源:
  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 Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.

最近的附近地震

幅度3.0以上

時間MagnitudeDistance深度位置鏈接
2/13/185:00 PM4.546 km10,000 m2km SSW of Barugo, Philippinesusgs.gov
1/31/182:32 PM4.540.3 km10,000 m7km ESE of Santo Nino, Philippinesusgs.gov
1/16/184:51 PM4.418.6 km35,000 m16km NW of San Isidro, Philippinesusgs.gov
1/16/187:04 AM4.74.8 km34,080 m4km NE of Naval, Philippinesusgs.gov
7/6/178:03 AM6.554.2 km9,000 m2km S of Lim-oo, Philippinesusgs.gov
5/16/171:30 AM4.444.4 km120,030 m5km S of Capoocan, Philippinesusgs.gov
8/13/162:05 PM5.110.3 km30,460 m7km ENE of Catmon, Philippinesusgs.gov
6/1/1612:39 PM4.431.1 km49,910 m12km ENE of Culaba, Philippinesusgs.gov
8/20/152:20 PM4.967.4 km34,620 m9km NE of Ipil, Philippinesusgs.gov
5/22/1511:00 AM4.86.5 km34,190 m3km SW of Catmon, Philippinesusgs.gov

關於我們的數據

本页面上的数据是使用许多公开可用的工具和资源估算的。它不附带任何担保,可能包含不准确之处。使用风险自负。