遇见数据集

临海市机动车交强险投保出险系数评级分析数据

收藏
浙江省数据知识产权登记平台2025-08-01 更新2025-08-02 收录
官方服务:

资源简介:

客户购买机动车交强险之后,保险公司运用大数据平台对全市机动车交强险的投保出险系数进行实时分析计算,并对该项险种的投保出险系数进行评级分析。分析结果可以提现该项险种的出险概率和市场前景,为保险公司合理制定营销策略提供数据支撑,同时帮助政府主管部门了解该地区机动车交通安全风险。1.数据运算:投保出险系数P=(日出险保单数/年出险保单数)×(日度获保机动车数/年度获保机动车数)×100,其中,日度获保机动车数=日度新参保机动车数+日度续保机动车数,年度获保机动车数=年度新参保机动车数+年度续保机动车数。年度统计周期是指以投保日期当日往前的一年周期。 2.数据分析:对计算所得的投保出险系数P进行评级分析,当P≥1时,为高出险率险种;当0.67≤P<1时,为较高出险率险种;当0.33≤P<0.67时,为中等出险率险种;当0.1≤P<0.33时,为较低出险率险种;当P<0.1时,为低出险率险种。

After customers purchase Compulsory Motor Vehicle Traffic Accident Liability Insurance, insurance companies use big data platforms to conduct real-time analysis and calculation of the insurance purchase and claim incidence coefficient for all urban compulsory motor vehicle insurance policies, and perform rating analysis on this coefficient. The analysis results can reflect the claim probability and market prospects of this insurance type, providing data support for insurance companies to reasonably formulate marketing strategies, and helping government competent authorities understand the motor vehicle traffic safety risks in the region. 1. Data Calculation: The insurance purchase and claim incidence coefficient P is calculated via the following formula: P = (Daily number of claim policies / Annual number of claim policies) × (Daily number of insured motor vehicles / Annual number of insured motor vehicles) × 100 Where: Daily number of insured motor vehicles = Daily number of newly insured motor vehicles + Daily number of renewed motor vehicles Annual number of insured motor vehicles = Annual number of newly insured motor vehicles + Annual number of renewed motor vehicles The annual statistical cycle refers to the one-year period counting backwards from the date of policy purchase. 2. Data Analysis: Conduct rating analysis on the calculated insurance purchase and claim incidence coefficient P with the following classification criteria: - When P ≥ 1: Classified as high claim rate insurance type - When 0.67 ≤ P < 1: Classified as relatively high claim rate insurance type - When 0.33 ≤ P < 0.67: Classified as medium claim rate insurance type - When 0.1 ≤ P < 0.33: Classified as relatively low claim rate insurance type - When P < 0.1: Classified as low claim rate insurance type

创建时间:
2025-06-20
搜集汇总
数据集介绍
临海市机动车交强险投保出险系数评级分析数据 数据集图片
背景与挑战
背景概述
该数据集包含临海市机动车交强险的投保和出险数据,用于计算投保出险系数并进行评级分析,旨在为保险公司和政府提供数据支持。数据集规模为1498条,按需更新,适用于金融业的风险评估和策略制定。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务