Buffumville事实

10.9 mi²
人口5,976
男性人口2,945 (49.3%)
女性人口3,031 (50.7%)
人口变化(1975 to 2020)+27.1%
人口变化(2000 to 2020)+11.2%
年齡中位數40.2岁 (男:40,女:40.4)
當地時間
時區北美东部夏令时间
經度與緯度42.11898, -71.89952

Buffumville的地圖

互動地圖

Buffumville的人口

1975年至2020年

Data19751990200020152020
人口4,7035,0445,3735,8155,976
人口密度431.2 / mi²462.4 / mi²492.6 / mi²533.1 / mi²547.9 / mi²
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Buffumville从2000年到2015年的人口变化

从2000年到2015年增长了8.2%

位置自1975以来的变化自1990以来的变化自2000以来的变化
Buffumville+23.6%+15.3%+8.2%
麻薩諸塞州+20%+9.8%+3.1%
美国+46.9%+27.2%+13.7%
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Buffumville的中位年龄

中位年龄:40.2岁

位置年齡中位數中位年齡(女)中位年齡(男)
Buffumville40.2 yrs40.4 yrs40 yrs
麻薩諸塞州39.2 yrs40.6 yrs37.8 yrs
美国37.4 yrs38.7 yrs36.1 yrs
来源: CIESIN (Center for International Earth Science Information Network)

Buffumville的人口密度

人口密度:548 / mi²

位置人口密度
Buffumville5,97610.91 sq mi548 / mi²
麻薩諸塞州6.6 million10,554.4 sq mi624 / mi²
美国321.6 million3,796,740.8 sq mi84.7 / mi²
来源: JRC (European Commission's Joint Research Centre) 工作于 GHS built-up grid

Buffumville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.

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

Buffumville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
Buffumville106,229 tn17.78 tn9,739.2 tons/mi²
麻薩諸塞州99,725,155 tn15.14 tn9,448.7 tons/mi²
美国5,664,619,810 tn17.62 tn1,492 tons/mi²
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
Buffumville的CO2排放
2013年CO2排放量(吨/年)106,229 tn
2013年人均CO2排放量(吨/年)17.78 tn
2013年CO2排放强度(吨/mi²/年)9,739.2 tons/mi²

自然災害風險

Relative risk out of 10

危险Risk Level
FloodHigh (8)
CycloneHigh (8)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

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, 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.
  3. 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.

最近的附近地震

幅度3.0以上

時間MagnitudeDistance深度位置鏈接
1/12/1511:36 AM3.341.2 km5,400 m0km NE of Wauregan, Connecticutusgs.gov
6/16/004:02 AM3.376.2 km9,800 msouthern New Englandusgs.gov
3/22/968:22 PM3.172.4 km11,900 msouthern New Englandusgs.gov
10/2/942:36 PM3.337.5 km10,000 msouthern New Englandusgs.gov
10/2/9411:27 AM3.740.2 km10,000 msouthern New Englandusgs.gov
10/15/858:00 PM352.9 km2,000 msouthern New Englandusgs.gov
6/17/822:14 PM378.6 km2,000 msouthern New Englandusgs.gov
1/27/826:50 PM381.8 km2,000 msouthern New Englandusgs.gov
3/11/768:29 AM3.584.5 km0 msouthern New Englandusgs.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。