瀏覽:

在Madamba的企業

 

產業領域

Madamba按行业的企业分布

行業說明機構數
教育14

Madamba事实

區22.9 km²
人口5,412
男性人口2,588 (47.8%)
女性人口2,824 (52.2%)
人口变化(1975 to 2020)-90.0%
人口变化(2000 to 2020)-70.7%
年齡中位數17.7岁 (男:17.3,女:17.9)
人均GDP(購買力平價)$3,283 (2022)
當地時間
時區菲律宾标准时间
經度與緯度7.83889, 124.11029
邮政编码9314

Madamba的地圖

互動地圖

Madamba的人口

1975年至2030年

Data197519902000201520202025*2030*
人口54,37932,75518,4646,3985,4124,4443,698
人口密度2,377.2 / km²1,431.9 / km²807.2 / km²279.7 / km²236.6 / km²194.3 / km²161.7 / km²
* 预测
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Madamba从2000年到2020年的人口变化

从2000年到2020年下降了70.7%

位置自1975以来的变化自1990以来的变化自2000以来的变化
Madamba-90%-83.5%-70.7%
菲律宾———
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Madamba的中位年龄

中位年龄:17.7岁

位置年齡中位數中位年齡（女）中位年齡（男）
Madamba17.7 yrs17.9 yrs17.3 yrs
菲律宾23.2 yrs23.6 yrs22.8 yrs
来源: CIESIN (Center for International Earth Science Information Network)

Madamba的人口密度

人口密度:237 / km²

位置人口區密度
Madamba5,41222.9 km²237 / 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

Madamba的历史和预测人口

从1100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

Madamba的企業使用的區碼百分比

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

Madamba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$1,479$1,567$1,739$1,693$1,917$1,925$2,165$3,283
GDP總量$4979.6万$4680.6万$4588.2万$3743.5万$3489.2万$3250.9万$3601.8万$5496.9万
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

Madamba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
Madamba5,148 tn0.95 tn225.1 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
Madamba的CO2排放
2013年CO2排放量(吨/年)5,148 tn
2013年人均CO2排放量(吨/年)0.95 tn
2013年CO2排放强度(吨/km²/年)225.1 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)
洪水高 (9)
地震中等 (7)
氣旋中等 (7)
滑坡高 (8)
火山中等 (5)

*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 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 Volcano Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BR8Q45.
  7. 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

日▼時間↕Magnitude↕Distance↕深度↕位置↕鏈接
11/4/187:55 AM628.2 km600,710 m10km SSE of Sapad, Philippinesusgs.gov
9/6/1811:32 PM4.356.6 km378,130 m7km NW of Wao, Philippinesusgs.gov
5/20/182:21 AM4.373.8 km35,000 m4km ESE of Matinao, Philippinesusgs.gov
3/15/187:20 AM573.5 km10,000 m4km NNW of San Miguel, Philippinesusgs.gov
4/14/1711:20 AM4.671.3 km10,000 m3km S of Matinao, Philippinesusgs.gov
4/11/1710:11 PM4.269.8 km10,000 m8km W of Banisilan, Philippinesusgs.gov
3/17/1711:53 PM4.469.3 km10,000 m4km SSW of Matinao, Philippinesusgs.gov
4/15/1610:57 PM4.457.2 km606,670 m19km WNW of Litayan, Philippinesusgs.gov
8/2/151:08 PM5.246.7 km602,930 m2km S of Clarin, Philippinesusgs.gov
5/30/151:40 AM4.560.8 km587,230 m19km W of Litayan, Philippinesusgs.gov
来源: U.S. Geological Survey (USGS)
Bayang
人口 6,17610.3 km
Butig
人口 6,01624.5 km
Binidayan
人口 3,8487.3 km

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。