產業領域
Cervantes按行业的企业分布
Cervantes事实
| 區 | 206.1 km² |
| 人口 | 23,136 |
| 男性人口 | 12,104 (52.3%) |
| 女性人口 | 11,032 (47.7%) |
| 人口变化(1975 to 2020) | +2038.3% |
| 人口变化(2000 to 2020) | +140.0% |
| 年齡中位數 | 22.3岁 (男:22.4,女:22.2) |
| 鄰近社區 | Rosario, Aluling, Alluling, Ilocos Sur Polytechnic State College, Cervantes Campus |
| 當地時間 | |
| 時區 | 菲律宾标准时间 |
| 經度與緯度 | 16.99090, 120.73590 |
| 邮政编码 | 2718 |
Cervantes的地圖
互動地圖
Cervantes的人口
1975年至2020年
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| 人口 | 1,082 | 4,483 | 9,639 | 21,933 | 23,136 |
| 人口密度 | 5.3 / km² | 21.8 / km² | 46.8 / km² | 106.4 / km² | 112.3 / km² |
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
Cervantes从2000年到2015年的人口变化
从2000年到2015年增长了127.5%
| 位置 | 自1975以来的变化 | 自1990以来的变化 | 自2000以来的变化 |
|---|---|---|---|
| Cervantes | +1927.1% | +389.2% | +127.5% |
| 菲律宾 | +146.5% | +63.3% | +29.5% |
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
Cervantes的中位年龄
中位年龄:22.3岁
| 位置 | 年齡中位數 | 中位年齡（女） | 中位年齡（男） |
|---|---|---|---|
| Cervantes | 22.3 yrs | 22.2 yrs | 22.4 yrs |
| 菲律宾 | 23.2 yrs | 23.6 yrs | 22.8 yrs |
来源: CIESIN (Center for International Earth Science Information Network)
Cervantes的人口密度
人口密度:112 / km²
| 位置 | 人口 | 區 | 密度 |
|---|---|---|---|
| Cervantes | 23,136 | 206.1 km² | 112 / km² |
| 菲律宾 | 96.6 million | 296,939.4 km² | 325 / km² |
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
Cervantes的历史和预测人口
从1940到2100的估计人口
来源:
- JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [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.
Cervantes的街区
Cervantes各街区企业占比
电话区号
Cervantes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
Cervantes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 |
|---|---|---|---|
| Cervantes | 27,598 tn | 1.19 tn | 133.9 tons/km² |
| 菲律宾 | 104,920,564 tn | 1.09 tn | 353.3 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
Cervantes的CO2排放
| 2013年CO2排放量(吨/年) | 27,598 tn |
| 2013年人均CO2排放量(吨/年) | 1.19 tn |
| 2013年CO2排放强度(吨/km²/年) | 133.9 tons/km² |
自然災害風險
Relative risk out of 10
| 危险 | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (10) |
| Earthquake | High (8) |
| Cyclone | High (10) |
| Landslide | High (10) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
来源:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 |
|---|---|---|---|---|---|---|
| 3/1/19 | 8:51 PM | 4.5 | 12.5 km | 115,480 m | 5km ESE of Sigay, Philippines | usgs.gov |
| 2/4/19 | 12:55 PM | 4.7 | 17.4 km | 92,280 m | 2km SSE of Quirino, Philippines | usgs.gov |
| 7/7/17 | 6:53 PM | 4.7 | 41.9 km | 47,920 m | 6km ENE of Sadanga, Philippines | usgs.gov |
| 3/18/17 | 9:03 PM | 4.6 | 33.3 km | 93,700 m | 4km W of Tacadang, Philippines | usgs.gov |
| 12/23/16 | 7:48 PM | 4.4 | 42 km | 102,010 m | 3km SW of Santol, Philippines | usgs.gov |
| 5/23/16 | 11:57 PM | 4.7 | 47.3 km | 75,280 m | 3km SSW of Pilar, Philippines | usgs.gov |
| 5/8/15 | 1:11 PM | 4 | 36.4 km | 112,930 m | 3km SW of Kibungan, Philippines | usgs.gov |
| 3/14/15 | 2:37 PM | 4.5 | 44.3 km | 65,680 m | 4km WSW of Balaoan, Philippines | usgs.gov |
| 7/12/12 | 12:09 AM | 4.6 | 42.2 km | 51,300 m | Luzon, Philippines | usgs.gov |
| 7/6/11 | 10:58 PM | 4.5 | 50.2 km | 10,000 m | Luzon, Philippines | usgs.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。