產業領域
Garchitorena按行业的企业分布
Garchitorena事实
| 區 | 232.8 km² |
| 人口 | 33,808 |
| 男性人口 | 17,623 (52.1%) |
| 女性人口 | 16,185 (47.9%) |
| 人口变化(1975 to 2020) | +317.2% |
| 人口变化(2000 to 2020) | +35.4% |
| 年齡中位數 | 17.7岁 (男:17.6,女:17.8) |
| 鄰近社區 | Barangay IV (Pob.), Bgy. Pambuhan, Bgy. Sagrada, Bgy. Mansangat, Canlong |
| 當地時間 | |
| 時區 | 菲律宾标准时间 |
| 經度與緯度 | 13.88040, 123.69460 |
| 邮政编码 | 4428 |
Garchitorena的地圖
互動地圖
Garchitorena的人口
1975年至2020年
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| 人口 | 8,103 | 18,550 | 24,961 | 31,232 | 33,808 |
| 人口密度 | 34.8 / km² | 79.7 / km² | 107.2 / km² | 134.2 / km² | 145.3 / km² |
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid
Garchitorena从2000年到2015年的人口变化
从2000年到2015年增长了25.1%
| 位置 | 自1975以来的变化 | 自1990以来的变化 | 自2000以来的变化 |
|---|---|---|---|
| Garchitorena | +285.4% | +68.4% | +25.1% |
| 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
Garchitorena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) |
|---|---|---|---|
| Garchitorena | 17.7 yrs | 17.8 yrs | 17.6 yrs |
| 菲律宾 | 23.2 yrs | 23.6 yrs | 22.8 yrs |
来源: CIESIN (Center for International Earth Science Information Network)
Garchitorena的人口密度
人口密度:145 / km²
| 位置 | 人口 | 區 | 密度 |
|---|---|---|---|
| Garchitorena | 33,808 | 232.8 km² | 145 / 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
Garchitorena的历史和预测人口
从1720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.
Garchitorena的街区
Garchitorena各街区企业占比
电话区号
Garchitorena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
Garchitorena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 |
|---|---|---|---|
| Garchitorena | 25,916 tn | 0.77 tn | 111.3 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
Garchitorena的CO2排放
| 2013年CO2排放量(吨/年) | 25,916 tn |
| 2013年人均CO2排放量(吨/年) | 0.77 tn |
| 2013年CO2排放强度(吨/km²/年) | 111.3 tons/km² |
自然災害風險
Relative risk out of 10
| 危险 | Risk Level |
|---|---|
| Drought | Medium (5) |
| Flood | Medium (7) |
| Earthquake | Medium (6.8) |
| Cyclone | High (10) |
| Landslide | High (8) |
* 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 |
|---|---|---|---|---|---|---|
| 8/28/18 | 2:57 AM | 4.5 | 57.2 km | 63,740 m | 39km NW of Pandan, Philippines | usgs.gov |
| 5/5/18 | 6:19 AM | 6.1 | 80.1 km | 18,000 m | 64km NNW of Pandan, Philippines | usgs.gov |
| 10/31/17 | 3:14 AM | 4.9 | 55.9 km | 32,659 m | 52km NW of Pandan, Philippines | usgs.gov |
| 1/11/17 | 6:24 AM | 4.8 | 66.3 km | 75,030 m | 17km S of Calolbon, Philippines | usgs.gov |
| 9/26/14 | 4:16 PM | 5 | 83.4 km | 48,050 m | 9km ENE of Baras, Philippines | usgs.gov |
| 5/10/14 | 8:07 PM | 4.8 | 74 km | 14,710 m | 73km NW of Pandan, Philippines | usgs.gov |
| 11/17/13 | 3:25 PM | 4.3 | 72.1 km | 51,360 m | 0km NW of Iraya, Philippines | usgs.gov |
| 3/31/11 | 6:31 PM | 4.3 | 39.1 km | 44,900 m | Catanduanes, Philippines | usgs.gov |
| 3/21/11 | 1:29 PM | 4 | 49.9 km | 35,100 m | Luzon, Philippines | usgs.gov |
| 8/24/10 | 2:43 PM | 4.6 | 7.8 km | 67,800 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。
