產業領域
Esperanza按行业的企业分布
Esperanza事实
| 區 | 654.6 km² |
| 人口 | 66,945 |
| 男性人口 | 35,161 (52.5%) |
| 女性人口 | 31,784 (47.5%) |
| 人口变化(1975 to 2020) | +782.7% |
| 人口变化(2000 to 2020) | +82.6% |
| 年齡中位數 | 18.9岁 (男:19.1,女:18.6) |
| 鄰近社區 | Laguilayan, Poblacion, Putingbato, Highway Hills, Sultan Kudarat, |
| 當地時間 | |
| 時區 | 菲律宾标准时间 |
| 經度與緯度 | 8.67694, 125.64694 |
| 邮政编码 | 8513 |
Esperanza的地圖
互動地圖
Esperanza的人口
1975年至2020年
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| 人口 | 7,584 | 22,849 | 36,653 | 61,419 | 66,945 |
| 人口密度 | 11.6 / km² | 34.9 / km² | 56 / km² | 93.8 / km² | 102.3 / km² |
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
Esperanza从2000年到2015年的人口变化
从2000年到2015年增长了67.6%
| 位置 | 自1975以来的变化 | 自1990以来的变化 | 自2000以来的变化 |
|---|---|---|---|
| Esperanza | +709.8% | +168.8% | +67.6% |
| 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
Esperanza的中位年龄
中位年龄:18.9岁
| 位置 | 年齡中位數 | 中位年齡(女) | 中位年齡(男) |
|---|---|---|---|
| Esperanza | 18.9 yrs | 18.6 yrs | 19.1 yrs |
| 菲律宾 | 23.2 yrs | 23.6 yrs | 22.8 yrs |
来源: CIESIN (Center for International Earth Science Information Network)
Esperanza的人口密度
人口密度:102 / km²
| 位置 | 人口 | 區 | 密度 |
|---|---|---|---|
| Esperanza | 66,945 | 654.6 km² | 102 / 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
Esperanza的历史和预测人口
从1880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.
电话区号
Esperanza的企業使用的區碼百分比
邮政编码
Esperanza各邮政编码企业占比
价格分布
Esperanza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
Esperanza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 |
|---|---|---|---|
| Esperanza | 65,502 tn | 0.98 tn | 100.1 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
Esperanza的CO2排放
| 2013年CO2排放量(吨/年) | 65,502 tn |
| 2013年人均CO2排放量(吨/年) | 0.98 tn |
| 2013年CO2排放强度(吨/km²/年) | 100.1 tons/km² |
自然災害風險
Relative risk out of 10
| 危险 | Risk Level |
|---|---|
| Drought | Medium (4) |
| Flood | High (10) |
| Earthquake | High (8.8) |
| Cyclone | High (10) |
| Landslide | Medium (6) |
* 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 |
|---|---|---|---|---|---|---|
| 5/20/19 | 7:12 PM | 4.6 | 45.3 km | 35,000 m | 2km S of Calamba, Philippines | usgs.gov |
| 1/1/19 | 4:19 AM | 4.6 | 23.2 km | 46,030 m | 1km SSW of Aurora, Philippines | usgs.gov |
| 8/27/17 | 2:01 PM | 4.5 | 50.2 km | 80,340 m | 2km SE of Comagascas, Philippines | usgs.gov |
| 10/14/16 | 6:29 PM | 5.4 | 49.8 km | 40,320 m | 2km NNE of Calamba, Philippines | usgs.gov |
| 10/12/16 | 3:16 AM | 4.8 | 45.1 km | 51,360 m | 2km NNW of La Paz, Philippines | usgs.gov |
| 10/9/16 | 10:39 AM | 4.8 | 49.2 km | 64,769 m | 13km ENE of Balangbalang, Philippines | usgs.gov |
| 9/7/16 | 4:54 AM | 4.9 | 48.5 km | 10,000 m | 7km WSW of Rosario, Philippines | usgs.gov |
| 9/4/16 | 2:38 PM | 4.6 | 49.1 km | 10,000 m | 6km SSE of Alegria, Philippines | usgs.gov |
| 9/4/16 | 2:38 AM | 5.8 | 40.6 km | 16,000 m | 7km SE of Causwagan, Philippines | usgs.gov |
| 7/10/16 | 5:37 AM | 4.7 | 34 km | 10,000 m | 3km W of Los Arcos, 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。


