First Street Foundation Property Level Flood Risk Statistics V2.0

The property level flood risk statistics generated by the First Street Foundation Flood Model Version 2.0 come in CSV format. The data that is included in the CSV includes: An FSID; a First Street ID (FSID) is a unique identifier assigned to each location. The latitude and longitude of a parcel as well as the zip code, census block group, census tract, county, congressional district, and state of a given parcel. The property’s Flood Factor as well as data on economic loss. The flood depth in centimeters at the low, medium, and high CMIP 4.5 climate scenarios for the 2, 5, 20, 100, and 500 year storms this year and in 30 years. Data on the cumulative probability of a flood event exceeding the 0cm, 15cm, and 30cm threshold depth is provided at the low, medium, and high climate scenarios for this year and in 30 years. Information on historical events and flood adaptation, such as ID and name. This dataset includes First Street's aggregated flood risk summary statistics. The data is available in CSV format and is aggregated at the congressional district, county, and zip code level. The data allows you to compare FSF data with FEMA data. You can also view aggregated flood risk statistics for various modeled return periods (5-, 100-, and 500-year) and see how risk changes due to climate change (compare FSF 2020 and 2050 data). There are various Flood Factor risk score aggregations available including the average risk score for all properties (flood factor risk scores 1-10) and the average risk score for properties with risk (i.e. flood factor risk scores of 2 or greater). This is version 2.0 of the data and it covers the 50 United States and Puerto Rico. There will be updated versions to follow. If you are interested in acquiring First Street flood data, you can request to access the data here. More information on First Street's flood risk statistics can be found here and information on First Street's hazards can be found here. The data dictionary for the parcel-level data is below. Field Name Type Description fsid int First Street ID (FSID) is a unique identifier assigned to each location long float Longitude lat float Latitude zcta int ZIP code tabulation area as provided by the US Census Bureau blkgrp_fips int US Census Block Group FIPS Code tract_fips int US Census Tract FIPS Code county_fips int County FIPS Code cd_fips int Congressional District FIPS Code for the 116th Congress state_fips int State FIPS Code floodfactor int The property's Flood Factor, a numeric integer from 1-10 (where 1 = minimal and 10 = extreme) based on flooding risk to the building footprint. Flood risk is defined as a combination of cumulative risk over 30 years and flood depth. Flood depth is calculated at the lowest elevation of the building footprint (largest if more than 1 exists, or property centroid where footprint does not exist) CS_depth_RP_YY int Climate Scenario (low, medium or high) by Flood depth (in cm) for the Return Period (2, 5, 20, 100 or 500) and Year (today or 30 years in the future). Today as year00 and 30 years as year30. ex: low_depth_002_year00 CS_chance_flood_YY float Climate Scenario (low, medium or high) by Cumulative probability (percent) of at least one flooding event that exceeds the threshold at a threshold flooding depth in cm (0, 15, 30) for the year (today or 30 years in the future). Today as year00 and 30 years as year30. ex: low_chance_00_year00 aal_YY_CS int The annualized economic damage estimate to the building structure from flooding by Year (today or 30 years in the future) by Climate Scenario (low, medium, high). Today as year00 and 30 years as year30. ex: aal_year00_low hist1_id int A unique First Street identifier assigned to a historic storm event modeled by First Street hist1_event string Short name of the modeled historic event hist1_year int Year the modeled historic event occurred hist1_depth int Depth (in cm) of flooding to the building from this historic event hist2_id int A unique First Street identifier assigned to a historic storm event modeled by First Street hist2_event string Short name of the modeled historic event hist2_year int Year the modeled historic event occurred hist2_depth int Depth (in cm) of flooding to the building from this historic event adapt_id int A unique First Street identifier assigned to each adaptation project adapt_name string Name of adaptation project adapt_rp int Return period of flood event structure provides protection for when applicable adapt_type string Specific flood adaptation structure type (can be one of many structures associated with a project) fema_zone string Specific FEMA zone categorization of the property ex: A, AE, V. Zones beginning with "A" or "V" are inside the Special Flood Hazard Area which indicates high risk and flood insurance is required for structures with mortgages from federally regulated or insured lenders footprint_flag int Statistics for the property are calculated at the centroid of the building footprint (1) or at the centroid of the parcel (0)由First Street Foundation洪水模型V2.0（First Street Foundation Flood Model Version 2.0）生成的属性级洪水风险统计数据以CSV格式提供。 该CSV文件包含以下内容： 1. FSID（First Street ID，FSID）：为每个位置分配的唯一标识符。 2. 地块的经纬度，以及对应地块的邮政编码、普查街区组、普查区域、县、国会选区和州。 3. 该物业的洪水因子（Flood Factor）及经济损失相关数据。 4. 针对当前年份及30年后的2年、5年、20年、100年、500年一遇风暴，在低、中、高三种CMIP 4.5气候情景下的洪水淹没深度（单位：厘米）。 5. 针对当前年份及30年后的低、中、高三种气候情景，提供了洪水事件超过0cm、15cm、30cm阈值深度的累积概率数据。 6. 历史事件与洪水适应措施相关信息，如标识符与名称。 本数据集包含First Street汇总的洪水风险统计摘要数据，同样以CSV格式提供，聚合维度为国会选区、县及邮政编码层面。该数据集支持将First Street Foundation（FSF）数据与联邦应急管理局（Federal Emergency Management Agency, FEMA）数据进行对比。用户可查看不同重现期（5年、100年、500年一遇）的汇总洪水风险统计结果，亦可对比First Street Foundation 2020年与2050年的数据，以分析气候变化对洪水风险的影响。此外，该数据集提供多种洪水因子风险评分汇总指标，包括所有物业的平均风险评分（洪水因子风险评分范围为1-10），以及存在风险的物业（即洪水因子风险评分≥2）的平均风险评分。本数据集为V2.0版本，覆盖美国50个州及波多黎各，后续将推出更新版本。 若您有意获取First Street洪水数据，可在此申请访问。有关First Street洪水风险统计的更多信息可在此查阅，有关First Street灾害相关的信息可在此获取。 以下为地块级数据的数据字典： | 字段名 | 类型 | 描述 | | ---- | ---- | ---- | | fsid | 整数型 | First Street ID（FSID）：为每个位置分配的唯一标识符 | | long | 浮点型 | 经度 | | lat | 浮点型 | 纬度 | | zcta | 整数型 | 美国人口普查局提供的邮政编码制表区域（ZIP Code Tabulation Area, ZCTA） | | blkgrp_fips | 整数型 | 美国普查街区组联邦信息处理标准代码（Federal Information Processing Standards Code, FIPS Code） | | tract_fips | 整数型 | 美国普查区域联邦信息处理标准代码 | | county_fips | 整数型 | 县联邦信息处理标准代码 | | cd_fips | 整数型 | 第116届国会对应的国会选区联邦信息处理标准代码 | | state_fips | 整数型 | 州联邦信息处理标准代码 | | floodfactor | 整数型 | 该物业的洪水因子：基于建筑基底（building footprint）的洪水风险得出的1-10的整数评分（1代表风险极低，10代表风险极高）。洪水风险结合了30年累积风险与洪水淹没深度计算得出，淹没深度取建筑基底的最低海拔高度（若存在多个基底则取最大基底的最低海拔，若无建筑基底则取地块质心） | | CS_depth_RP_YY | 整数型 | 针对特定重现期（2、5、20、100或500年）和年份（当前为year00，30年后为year30），在低、中、高三种气候情景下的洪水淹没深度（单位：厘米）。示例：low_depth_002_year00 | | CS_chance_flood_YY | 浮点型 | 针对特定年份（当前为year00，30年后为year30），在低、中、高三种气候情景下，至少发生一次超过阈值深度（0cm、15cm、30cm）的洪水事件的累积概率（百分比）。示例：low_chance_00_year00 | | aal_YY_CS | 整数型 | 针对特定年份（当前为year00，30年后为year30）和气候情景（低、中、高），建筑结构因洪水导致的年化经济损失估算值。示例：aal_year00_low | | hist1_id | 整数型 | First Street为建模的历史风暴事件分配的唯一标识符 | | hist1_event | 字符串型 | 建模历史事件的简称 | | hist1_year | 整数型 | 建模历史事件发生的年份 | | hist1_depth | 整数型 | 该历史事件导致的建筑洪水淹没深度（单位：厘米） | | hist2_id | 整数型 | First Street为建模的历史风暴事件分配的唯一标识符 | | hist2_event | 字符串型 | 建模历史事件的简称 | | hist2_year | 整数型 | 建模历史事件发生的年份 | | hist2_depth | 整数型 | 该历史事件导致的建筑洪水淹没深度（单位：厘米） | | adapt_id | 整数型 | 为每个洪水适应项目分配的唯一First Street标识符 | | adapt_name | 字符串型 | 适应项目的名称 | | adapt_rp | 整数型 | 适用的洪水防护事件重现期（如适用） | | adapt_type | 字符串型 | 特定的洪水适应工程类型（可对应项目关联的多个工程之一） | | fema_zone | 字符串型 | 物业的特定联邦应急管理局（FEMA）分区分类，例如A、AE、V。以“A”或“V”开头的分区属于特殊洪水危险区，这意味着受联邦监管或保险的抵押贷款机构发放贷款的建筑需购买洪水保险 | | footprint_flag | 整数型 | 该物业的统计计算基于建筑基底质心（1）或地块质心（0） |