100+ datasets found
  1. Opinion on influence of zip code on car insurance rates in the U.S. 2016

    • statista.com
    Updated Oct 31, 2016
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    Statista (2016). Opinion on influence of zip code on car insurance rates in the U.S. 2016 [Dataset]. https://www.statista.com/statistics/627125/opinion-on-influence-of-zip-code-on-car-insurance-rates-usa/
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    Dataset updated
    Oct 31, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2016
    Area covered
    United States
    Description

    This statistic shows the opinion on influence of zip code on car insurance rates in the United States in 2016. The results of the survey revealed that 74 percent of the respondents from Gen X believed that zip code had an effect on car insurance rates.

  2. Car insurance brand preferences of Americans in the 1st half of 2016, by age...

    • statista.com
    Updated May 1, 2016
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    Statista (2016). Car insurance brand preferences of Americans in the 1st half of 2016, by age [Dataset]. https://www.statista.com/statistics/580432/united-states-brand-preferences-for-auto-insurance-by-age/
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    Dataset updated
    May 1, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2016 - Jun 2016
    Area covered
    United States
    Description

    This statistic shows the results of a survey conducted in the first half of 2016 among 6,000 adult Americans on their preferred auto insurance brand. The results were sorted by age group. During the survey, 11.7 percent of respondents aged 18 to 34 years stated their preferred car insurance brand brand is State Farm Insurance; 18.7 percent of respondents aged 35 and older said the same.

  3. United States CPI U: AW: Transport: Private: Motor Vehicle Insurance

    • ceicdata.com
    Updated Mar 15, 2023
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    United States CPI U: AW: Transport: Private: Motor Vehicle Insurance [Dataset]. https://www.ceicdata.com/en/united-states/consumer-price-index-urban-weights-annual/cpi-u-aw-transport-private-motor-vehicle-insurance
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Consumer Prices
    Description

    United States CPI U: AW: Transport: Private: Motor Vehicle Insurance data was reported at 2.635 % in 2017. This records an increase from the previous number of 2.494 % for 2016. United States CPI U: AW: Transport: Private: Motor Vehicle Insurance data is updated yearly, averaging 2.470 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 2.635 % in 2017 and a record low of 2.042 % in 2008. United States CPI U: AW: Transport: Private: Motor Vehicle Insurance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I011: Consumer Price Index: Urban: Weights (Annual).

  4. Penetration in the auto insurance sector in the Spanish market 2005-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Penetration in the auto insurance sector in the Spanish market 2005-2023 [Dataset]. https://www.statista.com/statistics/773810/penetration-in-he-sector-insurer-from-cars-in-spain/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    The penetration rate of vehicle insurance in the Spanish market decreased year-on-year from 2005 to 2023, except in the years 2016 and 2020, when slight increases were observed. In 2023, the annual penetration rate in the Spanish auto insurance sector stood at **** percent. The year 2020 marked the highest increase during the period under observation, although the rate of penetration remains significantly below the rates obtained prior to 2009.

  5. Hong Kong SAR, China Net Payment: Motor Vehicle, Damage, Liability

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Hong Kong SAR, China Net Payment: Motor Vehicle, Damage, Liability [Dataset]. https://www.ceicdata.com/en/hong-kong/insurance-statistics-general-business-annual/net-payment-motor-vehicle-damage-liability
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Insurance Market
    Description

    Hong Kong Net Payment: Motor Vehicle, Damage, Liability data was reported at 2,434.700 HKD mn in 2016. This records an increase from the previous number of 2,173.000 HKD mn for 2015. Hong Kong Net Payment: Motor Vehicle, Damage, Liability data is updated yearly, averaging 1,317.700 HKD mn from Dec 2002 (Median) to 2016, with 15 observations. The data reached an all-time high of 2,434.700 HKD mn in 2016 and a record low of 1,020.300 HKD mn in 2004. Hong Kong Net Payment: Motor Vehicle, Damage, Liability data remains active status in CEIC and is reported by Office of the Commissioner of Insurance. The data is categorized under Global Database’s Hong Kong – Table HK.Z024: Insurance Statistics: General Business (Annual).

  6. Motor Vehicle Insurance in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    Motor Vehicle Insurance in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/motor-vehicle-insurance-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Motor Vehicle Insurance revenue is forecast to rise at a compound annual rate of 3.3% over the five years through 2024-25 to £26.9 billion, including an estimated growth of 19.7% in 2024-25. Often, insurers invest the premiums earned from insurance activities to generate additional income. Since the Solvency II EU directive came into force on January 1 2016, profitability has been constrained as the level of regulation regarding investment picked up. This was worsened by changes to the Ogden rate in March 2017, which lifted the payout due to a claimant compared to the same settlement at the old rate. Rising tax rates in recent years has also resulted in less fruitful operating conditions. The COVID-19 outbreak dampened demand as consumers and businesses reined in vehicle usage amid lockdown restrictions. Yet, this also reduced the number of claims and payouts processed by insurers. Since the COVID-19 outbreak, insurers have had to contend with high claims costs as the inflationary environment ratcheted up the price of key components used to repair cars, hurting profitability. This resulted in premiums picking up in 2023-24 as insurers sought to offset elevated claims costs, driving revenue growth and a return to profitability for many insurers. Motor premiums are set to remain elevated in 2024-25 but begin to drop as inflationary pressures subside and claims volumes slump, with ABI reporting a reduction for the first time in two years in June 2024. Motor Vehicle Insurance revenue is forecast to climb at a compound annual rate of 5.3% over the five years through 2029-30 to reach £34.8 billion. The total number of registered vehicles in the UK will pick up, driven by the production of electric vehicles, which bring additional challenges to insurers, requiring more complex and expensive repairs. Investors are also optimistic about capital markets as corporate earnings and economic growth look on the up, supporting stock markets. Fixed income is also set to benefit in the higher interest rate environment despite expected rate cuts, aiding coupon income. The growing adoption of AI will also support revenue growth in the coming years, allowing insurers to improve risk estimations and speed up decision-making.

  7. Premium income from automobile insurance of cooperative in Japan FY...

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Premium income from automobile insurance of cooperative in Japan FY 2016-2023 [Dataset]. https://www.statista.com/statistics/1295558/japan-cooperative-insurers-premium-income-automobile-insurance/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In the fiscal year 2023, the premium income from voluntary and compulsory automobile insurance of cooperative insurers in Japan amounted to around 561.9 billion Japanese yen. The insurance business of cooperatives is also known as Kyosai, the Japanese term for mutual aid.

  8. N

    Motor Vehicle Collisions - Vehicles

    • data.cityofnewyork.us
    • datasets.ai
    • +2more
    application/rdfxml +5
    Updated Jun 27, 2025
    + more versions
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    Police Department (NYPD) (2025). Motor Vehicle Collisions - Vehicles [Dataset]. https://data.cityofnewyork.us/Public-Safety/Motor-Vehicle-Collisions-Vehicles/bm4k-52h4
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    csv, json, application/rssxml, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Police Department (NYPD)
    Description

    The Motor Vehicle Collisions vehicle table contains details on each vehicle involved in the crash. Each row represents a motor vehicle involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system.

    The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.

    Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.

  9. Leading car insurance companies' market share South Korea 2016-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Leading car insurance companies' market share South Korea 2016-2024 [Dataset]. https://www.statista.com/statistics/1227736/south-korea-market-share-of-leading-car-insurance-companies/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, the leading four car insurers in South Korea, Samsung Fire & Marine Insurance, Hyundai Marine & Fire Insurance, DB Insurance, and KB Insurance, accounted for over ** percent of the South Korean market, staying at the same level compared to the previous year. While there were a total of ** auto insurance companies in South Korea as of April 2024, the remaining eight medium, small, and online companies have a comparatively small market share that has been steadily shrinking in recent years.

  10. H

    Hong Kong SAR, China Net Earned Premium: Motor Vehicle, Damage, Liability

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Hong Kong SAR, China Net Earned Premium: Motor Vehicle, Damage, Liability [Dataset]. https://www.ceicdata.com/en/hong-kong/insurance-statistics-general-business-annual/net-earned-premium-motor-vehicle-damage-liability
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Insurance Market
    Description

    Hong Kong Net Earned Premium: Motor Vehicle, Damage, Liability data was reported at 4,431.500 HKD mn in 2016. This records an increase from the previous number of 4,162.100 HKD mn for 2015. Hong Kong Net Earned Premium: Motor Vehicle, Damage, Liability data is updated yearly, averaging 2,600.500 HKD mn from Dec 2002 (Median) to 2016, with 15 observations. The data reached an all-time high of 4,431.500 HKD mn in 2016 and a record low of 2,199.500 HKD mn in 2007. Hong Kong Net Earned Premium: Motor Vehicle, Damage, Liability data remains active status in CEIC and is reported by Office of the Commissioner of Insurance. The data is categorized under Global Database’s Hong Kong – Table HK.Z024: Insurance Statistics: General Business (Annual).

  11. d

    Motor Vehicle Collisions - Crashes

    • catalog.data.gov
    • nycopendata.socrata.com
    • +3more
    Updated Jul 12, 2025
    + more versions
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    data.cityofnewyork.us (2025). Motor Vehicle Collisions - Crashes [Dataset]. https://catalog.data.gov/dataset/motor-vehicle-collisions-crashes
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    The Motor Vehicle Collisions crash table contains details on the crash event. Each row represents a crash event. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.For the most accurate, up to date statistics on traffic fatalities, please refer to the NYPD Motor Vehicle Collisions page (updated weekly) or Vision Zero View (updated monthly). Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.

  12. G

    Motor Vehicle Accident Claims (MVAC)-Personal Injury Claims 2011-2016

    • open.canada.ca
    • open.alberta.ca
    • +2more
    html, xlsx
    Updated Jul 24, 2024
    + more versions
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    Government of Alberta (2024). Motor Vehicle Accident Claims (MVAC)-Personal Injury Claims 2011-2016 [Dataset]. https://open.canada.ca/data/en/dataset/f880b386-0e6d-4eef-a7cf-66dbbe52deab
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    html, xlsxAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Government of Alberta
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2011 - Mar 31, 2015
    Description

    This data set includes total number of claims paid for personal injury compensation under the Motor Vehicle Accident Claims (MVAC) program by date including total amount paid within the time period, total number of claims and the total number of claims that are recoverable and unrecoverable.

  13. Property and liability insurance premiums in France 2016-2022, by type

    • statista.com
    Updated Nov 1, 2024
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    Statista (2024). Property and liability insurance premiums in France 2016-2022, by type [Dataset]. https://www.statista.com/statistics/781424/property-liability-insurance-premiums-by-type-france/
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    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    The property and liability insurance market in France is growing and reached a new peak in 2022. Auto insurance accounted for more than 35 percent of the premiums. In 2022, auto insurance premiums amounted to 24.9 billion euros.

  14. d

    Quarterly Release of Provisional Statistics for General Business 2016...

    • data.gov.hk
    csv
    Updated Apr 6, 2020
    + more versions
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    Insurance Authority (2020). Quarterly Release of Provisional Statistics for General Business 2016 (January to June) - Motor Vehicle, Damage & Liability (Direct Business) (Traditional Chinese) [Dataset]. https://data.gov.hk/en-data/dataset/ia-ia1-gstatsq2016q2/resource/22accab6-3f5c-4bb7-a6c1-9b88da7d9786
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    csv(2572)Available download formats
    Dataset updated
    Apr 6, 2020
    Dataset provided by
    Insurance Authority
    License

    http://data.gov.hk/en/terms-and-conditionshttp://data.gov.hk/en/terms-and-conditions

    Description

    Quarterly Release of Provisional Statistics for General Business 2016 (January to June)

  15. B

    Brazil Insurance: Loss Ratio: Automotive: by Company: Chubb do Brasil Cia de...

    • ceicdata.com
    Updated Apr 15, 2024
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    CEICdata.com (2024). Brazil Insurance: Loss Ratio: Automotive: by Company: Chubb do Brasil Cia de Seguros [Dataset]. https://www.ceicdata.com/en/brazil/insurance-loss-ratio-automotive-by-company/insurance-loss-ratio-automotive-by-company-chubb-do-brasil-cia-de-seguros
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    Dataset updated
    Apr 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2016 - Dec 1, 2016
    Area covered
    Brazil
    Description

    Brazil Insurance: Loss Ratio: Automotive: by Company: Chubb do Brasil Cia de Seguros data was reported at 1.770 % in Dec 2016. This records an increase from the previous number of 0.610 % for Nov 2016. Brazil Insurance: Loss Ratio: Automotive: by Company: Chubb do Brasil Cia de Seguros data is updated monthly, averaging 0.630 % from Sep 2000 (Median) to Dec 2016, with 196 observations. The data reached an all-time high of 1.770 % in Dec 2016 and a record low of 0.260 % in Jun 2002. Brazil Insurance: Loss Ratio: Automotive: by Company: Chubb do Brasil Cia de Seguros data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGD002: Insurance Loss Ratio: Automotive: by Company.

  16. Automotive UBI market size China 2016-2021

    • statista.com
    Updated Apr 9, 2018
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    Statista (2018). Automotive UBI market size China 2016-2021 [Dataset]. https://www.statista.com/statistics/824655/china-automotive-usage-based-insurance-market-size/
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    Dataset updated
    Apr 9, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    China
    Description

    This time series represents the Chinese automotive usage based insurance market size from 2016 to 2021. By 2016, the UBI market in China amounted to around *** billion yuan. Usage-based insurance is a type of insurance in which the costs are based on driving behaviors of the policy holders.

  17. H

    Hong Kong SAR, China Gross Premium: Motor Vehicle, Damage, Liability

    • ceicdata.com
    Updated May 4, 2018
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    CEICdata.com (2018). Hong Kong SAR, China Gross Premium: Motor Vehicle, Damage, Liability [Dataset]. https://www.ceicdata.com/en/hong-kong/insurance-statistics-general-business-annual
    Explore at:
    Dataset updated
    May 4, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Insurance Market
    Description

    Gross Premium: Motor Vehicle, Damage, Liability data was reported at 5,907.100 HKD mn in 2017. This records an increase from the previous number of 5,483.500 HKD mn for 2016. Gross Premium: Motor Vehicle, Damage, Liability data is updated yearly, averaging 3,230.050 HKD mn from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 5,907.100 HKD mn in 2017 and a record low of 2,653.300 HKD mn in 2007. Gross Premium: Motor Vehicle, Damage, Liability data remains active status in CEIC and is reported by Office of the Commissioner of Insurance. The data is categorized under Global Database’s Hong Kong – Table HK.Z024: Insurance Statistics: General Business (Annual).

  18. F

    Property, Auto, and Casualty Insurance for Residential Intellectual and...

    • fred.stlouisfed.org
    json
    Updated Nov 24, 2021
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    (2021). Property, Auto, and Casualty Insurance for Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/RIADDMHASAF476232
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 24, 2021
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Property, Auto, and Casualty Insurance for Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities, All Establishments, Employer Firms (RIADDMHASAF476232) from 2015 to 2016 about substance abuse, mental health, physicians, disability, employer firms, insurance, establishments, vehicles, residential, and USA.

  19. Value of motor vehicle insurance claims payments in Norway 2009-2019

    • statista.com
    Updated Jan 11, 2022
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    Statista (2022). Value of motor vehicle insurance claims payments in Norway 2009-2019 [Dataset]. https://www.statista.com/statistics/1077331/value-of-motor-vehicle-insurance-claims-payments-in-norway/
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    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Norway
    Description

    The total value of motor vehicle insurance claims payments in Norway fluctuated first, but increased annually from 2016 to 2019.. The insurance claims amounted to around 12.8 billion Norwegian kroner in 2016, but had increased to around 15.8 billion Norwegian kroner in 2019.

  20. u

    Motor Vehicle Accident Claims (MVAC)-Medical Claims 2016-2017 - Catalogue -...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Jun 24, 2025
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    (2025). Motor Vehicle Accident Claims (MVAC)-Medical Claims 2016-2017 - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/ab-motor-vehicle-accident-claims-mvac-medical-claims-2016-2017
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    Dataset updated
    Jun 24, 2025
    Description

    This data set includes total number of claims paid for personal injury compensation under the Motor Vehicle Accident Claims (MVAC) program by date including total amount paid within the time period, total number of claims and the total number of claims that are recoverable and unrecoverable for the period April 1, 2016 to March 31, 2017

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Statista (2016). Opinion on influence of zip code on car insurance rates in the U.S. 2016 [Dataset]. https://www.statista.com/statistics/627125/opinion-on-influence-of-zip-code-on-car-insurance-rates-usa/
Organization logo

Opinion on influence of zip code on car insurance rates in the U.S. 2016

Explore at:
Dataset updated
Oct 31, 2016
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Sep 2016
Area covered
United States
Description

This statistic shows the opinion on influence of zip code on car insurance rates in the United States in 2016. The results of the survey revealed that 74 percent of the respondents from Gen X believed that zip code had an effect on car insurance rates.

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