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San Francisco
Ranked 7053th safest out of 31k cities
* The total includes cities, towns, villages and CDPs.
Disaster Risk
More Details Crime Risk
More Details Disaster Risks
Disaster Risk is moderate for San Francisco. The most significant environmental threat for this locationundefined
Hide detailsFlood Risk
27% Low risk
There’s a Low Flood Risk score for San Francisco
Methodology
The Augurisk Coastal Flooding Hazard index is based on three key components: the mean elevation of your block, the expected sea level rise in your area, and your exposure to hurricanes.Note that storm surge is currently not explicitly described by the Augurisk coastal flooding hazard index. Depending on your location, storm surge can increase the water level by considerable amounts.During Hurricane Katrina, the sea level increased by up to 28 feet locally (NOAA). If you live along the coastline, it is strongly advised to follow official announcements in your area.
References
Elevation data - USGS 3DEP Elevation . Sweet, W.V., R.E. Kopp, C. P. Weaver, J. Obeysekera, R. M. Horton, E.R. Thieler and C. Zervas (2017), Global and Regional Sea Level Rise Scenarios for the United States. NOAA Tech. Rep. NOS CO-OPS 83. For more information on storm surges, visit nhc.noaa.gov
The Augurisk Coastal Flooding Hazard index is based on three key components: the mean elevation of your block, the expected sea level rise in your area, and your exposure to hurricanes.Note that storm surge is currently not explicitly described by the Augurisk coastal flooding hazard index. Depending on your location, storm surge can increase the water level by considerable amounts.During Hurricane Katrina, the sea level increased by up to 28 feet locally (NOAA). If you live along the coastline, it is strongly advised to follow official announcements in your area.
References
Elevation data - USGS 3DEP Elevation . Sweet, W.V., R.E. Kopp, C. P. Weaver, J. Obeysekera, R. M. Horton, E.R. Thieler and C. Zervas (2017), Global and Regional Sea Level Rise Scenarios for the United States. NOAA Tech. Rep. NOS CO-OPS 83. For more information on storm surges, visit nhc.noaa.gov
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Wildfire Risk
7% Very low risk
San Francisco faces a Very Low Wildfire Risk.
Methodology
The Augurisk Wildfire Hazard index is defined at the U.S. Census block level. It is based on the potential for wildfire burning in your block - based on data from Dillon et al. (2015, 2018) - and the impact of climate change on the potential for wildfire in the United States, particularly in the West (Abatzoglu and Williams, 2016). Therefore, the average temperature change in summer between the 1980-2005 and 2006-2100 has been extracted from two selected Regional Climate Models (RCMs) from the NA-CORDEX project (Mearns et al.,2017) and taken into account in defining the hazard score. The scenario considered is RCP4.5. All index values are normalized to a 0-100 scale..
References
Abatzoglou, J.T., and A.P. Williams. 2016. “Impact of anthropogenic climate change on wildfire across western US forests.” Proceedings of the National Academy of Sciences 113(42):11770. Mearns, L.O., et al., 2017: The NA-CORDEX dataset, version 1.0. NCAR Climate Data Gateway, Boulder CO, accessed [December 2019], https://doi.org/10.5065/D6SJ1JCH Dillon, G.K.; J. Menakis; and F. Fay. 2015. Wildland Fire Potential: A Tool for Assessing Wildfire Risk and Fuels Management Needs. pp 60-76 In Keane, R. E.; Jolly, M.; Parsons, R.; and Riley, K. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 345 p. Note : data updated in 2018.
The Augurisk Wildfire Hazard index is defined at the U.S. Census block level. It is based on the potential for wildfire burning in your block - based on data from Dillon et al. (2015, 2018) - and the impact of climate change on the potential for wildfire in the United States, particularly in the West (Abatzoglu and Williams, 2016). Therefore, the average temperature change in summer between the 1980-2005 and 2006-2100 has been extracted from two selected Regional Climate Models (RCMs) from the NA-CORDEX project (Mearns et al.,2017) and taken into account in defining the hazard score. The scenario considered is RCP4.5. All index values are normalized to a 0-100 scale..
References
Abatzoglou, J.T., and A.P. Williams. 2016. “Impact of anthropogenic climate change on wildfire across western US forests.” Proceedings of the National Academy of Sciences 113(42):11770. Mearns, L.O., et al., 2017: The NA-CORDEX dataset, version 1.0. NCAR Climate Data Gateway, Boulder CO, accessed [December 2019], https://doi.org/10.5065/D6SJ1JCH Dillon, G.K.; J. Menakis; and F. Fay. 2015. Wildland Fire Potential: A Tool for Assessing Wildfire Risk and Fuels Management Needs. pp 60-76 In Keane, R. E.; Jolly, M.; Parsons, R.; and Riley, K. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 345 p. Note : data updated in 2018.
Earthquake Risk
74% Severe risk
Such an earthquake is light. It is felt indoors by many, outdoors by few during the day. At night, some awaken. Dishes, windows, doors are disturbed; walls make cracking sounds. A sensation like a heavy truck is striking the building can be felt. Standing motor cars rock noticeably.
Methodology
The Augurisk Earthquake Hazard index is defined at the U.S. Census block level. It is based on the intensity of the earthquake happening in your block with a 2% probability over the next 50 years, and computed using data from USGS (Rukstales and Petersen, 2019). Intensity is defined based on the Modified Mercalli Intensity scale (MMI). All scores are normalized to a 0-100 scale.
References
Rukstales, K.S., and Petersen, M.D., 2019, Data Release for 2018 Update of the U.S. National Seismic Hazard Model: U.S. Geological Survey data release, https://doi.org/10.5066/P9WT5OVB. More information on the Modified Mercalli Index and its interpretation can be found on usgs.gov.
The Augurisk Earthquake Hazard index is defined at the U.S. Census block level. It is based on the intensity of the earthquake happening in your block with a 2% probability over the next 50 years, and computed using data from USGS (Rukstales and Petersen, 2019). Intensity is defined based on the Modified Mercalli Intensity scale (MMI). All scores are normalized to a 0-100 scale.
References
Rukstales, K.S., and Petersen, M.D., 2019, Data Release for 2018 Update of the U.S. National Seismic Hazard Model: U.S. Geological Survey data release, https://doi.org/10.5066/P9WT5OVB. More information on the Modified Mercalli Index and its interpretation can be found on usgs.gov.
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San Francisco Disaster Risk Rankings
Crime Risk
Crime risk is moderate for San Francisco. On average, our algorithm predicts 6141 violent crimes 61453 property crimes, 8852 acts of vandalism and 5818 motor vehicle thefts this year in your block group.
Hide detailsProperty Crime
61% High risk
61453 predicted Property Crimes in a year
Vehicle Theft
61% High risk
8852 predicted Vehicle Thefts in a year
Violent Crime
34% Moderate risk
6141 predicted Violent Crimes in a year
Acts of Vandalism
49% Moderate risk
8852 predicted Acts of Vandalism in a year
Methodology
The Augurisk Crime score is defined at the Census Block Group, by taking into account yearly violent and property crimes rates per 1000 inhabitants, predicted by our machine learning algorithm between 2015 and 2019. In order to predict crime occurrences where data is unavailable, our algorithm uses over 200 socio-economic, demographic, climatic, spatial, and law enforcement predictors selected based on various insights, from multidisciplinary literature review to correlation analysis and feature engineering. The predicting model is based on and has been tested against historical high-resolution crime data collected by the Open Crime Database for around 15 cities in the US with up to 79% accuracy.
References
Ashby, M.P.J. (2019): Studying Crime and Place with the Crime Open Database. Research Data Journal for the Humanities and Social Sciences 4(1), pp. 65-80. U.S. Census Bureau: American Community Survey, 2015-2019 5-Year Estimates. Fick. S.E., and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37(12): 4302-4315. Our algorithm has been published in an academic journal: Predicting Spatial Crime Occurrences through an Efficient Ensemble-Learning Model.
The Augurisk Crime score is defined at the Census Block Group, by taking into account yearly violent and property crimes rates per 1000 inhabitants, predicted by our machine learning algorithm between 2015 and 2019. In order to predict crime occurrences where data is unavailable, our algorithm uses over 200 socio-economic, demographic, climatic, spatial, and law enforcement predictors selected based on various insights, from multidisciplinary literature review to correlation analysis and feature engineering. The predicting model is based on and has been tested against historical high-resolution crime data collected by the Open Crime Database for around 15 cities in the US with up to 79% accuracy.
References
Ashby, M.P.J. (2019): Studying Crime and Place with the Crime Open Database. Research Data Journal for the Humanities and Social Sciences 4(1), pp. 65-80. U.S. Census Bureau: American Community Survey, 2015-2019 5-Year Estimates. Fick. S.E., and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37(12): 4302-4315. Our algorithm has been published in an academic journal: Predicting Spatial Crime Occurrences through an Efficient Ensemble-Learning Model.
San Francisco Crime Risk Rankings
Societal Risks
Societal risk is high for San Francisco. The most significant societal threat for this propertyundefined
Hide detailsAir Pollution Hazard
55% High risk
Methodology
The Augurisk Air Pollution hazard score is defined at the U.S. block level. It is based on the daily median and maximal air quality values recorded at the nearest U.S. EPA AQI monitor over the last 3 years. All values are normalized to a 0-100 scale. To avoid disturbances in the distribution of risk scores, specific transformations to the higher percentiles of selected variables (i.e. winsorization) were applied to the maximal recorded AQI variable.
References
AQI data was collected from the U.S. EPA AirNow program. Map data is provided by Air Now Current Monitor Data Public on ESRI. More information on the U.S. AQI computation and interpretation can be found on the AirNow website.
The Augurisk Air Pollution hazard score is defined at the U.S. block level. It is based on the daily median and maximal air quality values recorded at the nearest U.S. EPA AQI monitor over the last 3 years. All values are normalized to a 0-100 scale. To avoid disturbances in the distribution of risk scores, specific transformations to the higher percentiles of selected variables (i.e. winsorization) were applied to the maximal recorded AQI variable.
References
AQI data was collected from the U.S. EPA AirNow program. Map data is provided by Air Now Current Monitor Data Public on ESRI. More information on the U.S. AQI computation and interpretation can be found on the AirNow website.
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Socioeconomic Risk
0% Very low risk
Methodology
The Augurisk socioeconomic risk index is based on multiple indicators, the two most important being the median household income and the unemployment rate. Additional factors include the mean educational attainment, poverty rate and income inequality in various proportions based on their respective correlations and sensitivity analysis. All values are normalized to a 0-100 scale.
The socioeconomic vulnerability index shown on the map is a distinct index, created by the U.S. Centers for Disease Control and Prevention and based on 15 social factors. More information on the CDC SVI can be found in Flanagan et al. (2018).
References
Flanagan, B.E., E.J. Hallisey, E. Adams, and Lavery A. 2018. “Measuring Community Vulnerability to Natural and Anthropogenic Hazards: The Centers for Disease Control and Prevention’s Social Vulnerability Index.” Journal of Environmental Health 80(10):34–37. United States Department of Agriculture Economic Research Service: county-level datasets. University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2019. countyhealthrankings.org.
The Augurisk socioeconomic risk index is based on multiple indicators, the two most important being the median household income and the unemployment rate. Additional factors include the mean educational attainment, poverty rate and income inequality in various proportions based on their respective correlations and sensitivity analysis. All values are normalized to a 0-100 scale.
The socioeconomic vulnerability index shown on the map is a distinct index, created by the U.S. Centers for Disease Control and Prevention and based on 15 social factors. More information on the CDC SVI can be found in Flanagan et al. (2018).
References
Flanagan, B.E., E.J. Hallisey, E. Adams, and Lavery A. 2018. “Measuring Community Vulnerability to Natural and Anthropogenic Hazards: The Centers for Disease Control and Prevention’s Social Vulnerability Index.” Journal of Environmental Health 80(10):34–37. United States Department of Agriculture Economic Research Service: county-level datasets. University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2019. countyhealthrankings.org.
Healthcare Infrastructure
64% High risk
Methodology
The Augurisk Healthcare Infrastructure risk index is based on multiple risk components, including the number of health practitioners in your county, the distance to the nearest primary acute care or critical access hospital in the HIFLD Hospitals Database, and the size of the nearest hospital as expressed by its number of beds. All values are normalized to a 0-100 scale.
References
Homeland Infrastructure Foundation-Level Data: Hospitals at this link. University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2019. www.countyhealthrankings.org.
The Augurisk Healthcare Infrastructure risk index is based on multiple risk components, including the number of health practitioners in your county, the distance to the nearest primary acute care or critical access hospital in the HIFLD Hospitals Database, and the size of the nearest hospital as expressed by its number of beds. All values are normalized to a 0-100 scale.
References
Homeland Infrastructure Foundation-Level Data: Hospitals at this link. University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2019. www.countyhealthrankings.org.
San Francisco Societal Risk Rankings
Neighborhoods in San Francisco
Alamo Square Alkatraz Island Anza Vista Balboa Terrace Bayview Bernal Heights Buena Vista Park Central Richmond Central Sunset Central Waterfront - Dogpatch Chinatown Clarendon Heights Corona Heights Cow Hollow Crocker Amazon Diamond Heights Downtown Duboce Triangle Eureka Valley - Dolores Heights - Castro Excelsior Financial District Forest Hill Forest Hill Extension
Forest Knolls Glen Park Golden Gate Heights Golden Gate Park Haight-Ashbury Hayes Valley Hunters Point Ingleside Ingleside Heights Ingleside Terrace Inner Parkside Inner Richmond Inner Sunset Jordan Park - Laurel Heights Lake Lakeshore Lakeside Little Hollywood Lone Mountain Lower Pacific Heights Marina Merced Heights Merced Manor
Midtown Terrace Miraloma Park Mission Mission Bay Mission Terrace Monterey Heights Mount Davidson Manor Nob Hill Noe Valley North Beach North Panhandle North Waterfront Oceanview Outer Mission Outer Parkside Outer Richmond Outer Sunset Pacific Heights Parkside Parnassus - Ashbury Pine Lake Park Portola Potrero Hill
Presidio Presidio Heights Russian Hill Sea Cliff Sherwood Forest Silver Terrace South Beach South of Market St. Francis Wood Stonestown Sunnyside Telegraph Hill Tenderloin Treasure Island Twin Peaks Van Ness - Civic Center Visitacion Valley West Portal Western Addition Westwood Highlands Westwood Park Yerba Buena Yerba Buena Island
Although the information found on this system and the Site has been produced and processed from sources believed to be reliable, no warranty, express or implied, is made regarding accuracy, adequacy, completeness, legality, reliability or usefulness of any information or predictions provided.