100+ datasets found
  1. d

    Dispute Type Statistics Table - Insurance Industry - Life Insurance Company...

    • data.gov.tw
    csv
    Updated Jun 2, 2025
    + more versions
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    Financial Supervisory Commission , Executive Yuan (2025). Dispute Type Statistics Table - Insurance Industry - Life Insurance Company - Claims (Financial Consumer Arbitration Center) [Dataset]. https://data.gov.tw/en/datasets/11908
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    csvAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Financial Supervisory Commission , Executive Yuan
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Life insurance claims and application review case dispute type statistics.

  2. Estimated size of the global insurance market 2017-2024, with forecasts...

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Estimated size of the global insurance market 2017-2024, with forecasts until 2028 [Dataset]. https://www.statista.com/statistics/1192960/forecast-global-insurance-market/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    It is forecast that the global insurance market will grow by about ************ U.S. dollars between 2024 and 2029, reaching almost ** trillion U.S. dollars. How have gross premiums written evolved? Gross premiums written signify the total premiums collected by an insurer before deducting reinsurance and other related expenses. Between 2000 and 2020, the value of gross premiums written worldwide had more than doubled. The value of premiums written hit its peak in 2017, at approximately **** billion U.S. dollars, after which it continued to decline for the following years until 2019. However, in 2020, this figure grew by nearly **** percent as compared to the previous year. Which companies dominate the insurance market? In 2022, the leading global insurance companies by revenue were Berkshire Hathaway, Ping An Insurance and China Life Insurance. Considering the market capitalization of the largest insurance companies, Allianz occupied the first position with a valuation of nearly *** billion U.S. dollars. These industry titans, along with others such as AXA, AIA, MetLife, Chubb, etc., collectively shape the global insurance narrative through their extensive reach, diverse offerings, and significant market influence.

  3. Asia Pacific Life & Non-Life Insurance Industry Analysis | Growth...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 18, 2025
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    Mordor Intelligence (2025). Asia Pacific Life & Non-Life Insurance Industry Analysis | Growth Statistics, Market Size & Report 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/life-non-life-insurance-market-in-asia-pacific
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Asia
    Description

    The Asia-Pacific Life and Non-Life Insurance Market is Segmented by Insurance Type (Life Insurance, Non-Life Insurance), Distribution Channel (Agency Force, Bancassurance, Brokers & IFAs, and More), Customer Segment (Retail / Mass Market, High-Net-Worth & Affluent, and More), and Region. The Market Forecasts are Provided in Value (USD).

  4. H

    Replication Data for: "Understanding the Advice of Commissions-Motivated...

    • dataverse.harvard.edu
    Updated May 26, 2017
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    Santosh Anagol; Shawn Cole; Shayak Sarkar (2017). Replication Data for: "Understanding the Advice of Commissions-Motivated Agents: Evidence from the Indian Life Insurance Market" [Dataset]. http://doi.org/10.7910/DVN/FR0IWP
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 26, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Santosh Anagol; Shawn Cole; Shayak Sarkar
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Anagol, Santosh, Cole, Shawn, and Sarkar, Shayak, (2017) "Understanding the Advice of Commissions-Motivated Agents: Evidence from the Indian Life Insurance Market." Review of Economics and Statistics 99:1, 1-15.

  5. Global Final Expense Insurance Market Size By Policy Type, By Target...

    • verifiedmarketresearch.com
    Updated Apr 5, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Final Expense Insurance Market Size By Policy Type, By Target Demographics, By Distribution Channels, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/final-expense-insurance-market/
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    Dataset updated
    Apr 5, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Final Expense Insurance Market size was valued at USD 148.77 Billion in 2023 and is projected to reach USD 257.54 Billion by 2030, growing at a CAGR of 7.10% during the forecast period 2024-2031.

    Global Final Expense Insurance Market Drivers

    The market drivers for the Final Expense Insurance Market can be influenced by various factors. These may include:

    Population Aging: Seniors who wish to make sure their final expenses are paid for are increasingly in need of final expense insurance as the world's population ages. There is a considerable market for final expense insurance products due to the aging population.

    Growing Funeral Costs: As funeral costs have been rising over time, final expense insurance has been more popular among people and families looking to protect themselves financially from these charges. Insurance against last costs covers burial or cremation costs as well as funeral services.

    Financial Protection for Loved Ones: To offer their loved ones financial security, a lot of people get final expense insurance. They want to make sure that burial and funeral costs are paid for in order to lessen the financial strain on their dependents or family during a trying time.

    Simplified Underwriting: Compared to regular life insurance policies, last expense insurance usually has less complicated underwriting procedures. This makes it simpler for people to get coverage without arduous medical tests or onerous underwriting criteria, especially for those who are older or have pre-existing medical conditions.

    Affordability: Those on fixed incomes or with limited financial resources may find last expense insurance plans more reasonable than other types of life insurance because they frequently have lower face values and premiums. A wide spectrum of customers are drawn to final expenditure insurance due to its affordability.

    Guaranteed Acceptance Options: A lot of final expense insurance policies allow for guaranteed acceptance, which means that people can get coverage no matter how old or sick they are. People who might find it difficult to qualify for other kinds of life insurance because of health conditions or old age would find this feature appealing.

    Flexible Payment Options: Depending on the policyholder's financial situation and preferences, last expense insurance policies may provide single premium, restricted pay, or ongoing pay options. This adaptability makes last expense insurance more appealing to a wider variety of customers.

    Supplemental Coverage: Final expenditure insurance can be used to supplement benefits offered by employers or current life insurance plans. To supplement primary coverage and guarantee complete protection for ultimate expenses, individuals can get final expense insurance.

    Sales and Distribution networks: To contact potential clients for final expense insurance, insurance companies and brokers frequently employ focused marketing techniques and distribution networks. Online platforms, agent-led sales, and direct marketing all help to raise the profile and make final expense insurance products more accessible.

  6. p

    Life Insurance Agencies in California, United States - 10,696 Verified...

    • poidata.io
    csv, excel, json
    Updated Aug 12, 2025
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    Poidata.io (2025). Life Insurance Agencies in California, United States - 10,696 Verified Listings Database [Dataset]. https://www.poidata.io/report/life-insurance-agency/united-states/california
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    csv, json, excelAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset provided by
    Poidata.io
    Area covered
    California, United States
    Description

    Comprehensive dataset of 10,696 Life insurance agencies in California, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  7. I

    Global Variable life Insurance Market Historical Impact Review 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Variable life Insurance Market Historical Impact Review 2025-2032 [Dataset]. https://www.statsndata.org/report/global-68719
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Variable Life Insurance (VLI) market is a dynamic sector within the financial services industry, offering policyholders the flexibility to invest their premiums in a variety of options while simultaneously providing a death benefit to beneficiaries. This unique blend of life insurance and investment opportunitie

  8. Global Online Life Insurance Market Size By Demographic, By Product Types,...

    • verifiedmarketresearch.com
    Updated Jan 5, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Online Life Insurance Market Size By Demographic, By Product Types, By Distribution Channels, By Geographic Scope and Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/online-life-insurance-market/
    Explore at:
    Dataset updated
    Jan 5, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Online Life Insurance Market size was valued at USD 260.1 Billion in 2023 and is projected to reach USD 700.1 Billion by 2030, growing at a CAGR of 18.2% during the forecast period 2024-2030.

    Global Online Life Insurance Market Drivers

    The market drivers for the Online Life Insurance Market can be influenced by various factors. These may include:

    Digital Transformation: The adoption of online channels has been fueled by the continuous digital transformation occurring in the financial services sector, which includes insurance. Technology is being used by insurers to improve customer service, expedite procedures, and reach a larger market. Growing Internet Penetration: The potential market for online life insurance grows as more people get access to the internet. This is particularly true in developing nations where more individuals are getting internet access. Convenience and accessibility: Customers may easily investigate, evaluate, and buy plans from the comfort of their homes with the help of online life insurance platforms. Customers who are tech-savvy and like digital interactions may be drawn in by this accessibility. Data analytics and personalization: To better evaluate risk and provide tailored insurance, insurers are utilizing sophisticated analytics. This data-driven method aids in pricing, underwriting, and customizing policies to meet the needs of each individual. Mobile Apps: The emergence of mobile applications has made purchasing and administering life insurance policies much easier. Customers are able to access their policies, pay premiums, and submit claims while on the road with the use of mobile apps, which offer an intuitive user experience. Shifting Consumer Behaviour: A growing number of consumers, particularly those in younger age groups, feel at ease doing financial transactions online. The life insurance market has been impacted by the change in consumer behaviour toward digital channels. Competitive Environment: As insurance companies compete more, new goods and services have been developed as a result. Insurers are investing in online capabilities to draw in and keep clients in order to remain competitive. Regulatory Support: In certain areas, regulatory organizations are in favour of the insurance sector's digitization. Encouraging rules may incentivize insurers to allocate resources towards digital platforms and expand their product offerings. Impact of the Pandemic: Digital channels are being adopted faster in a variety of businesses, including insurance. This is due to the COVID-19 pandemic. The significance of internet services has been highlighted by social distancing policies and lockdowns Tech Collaborations and the Impact of Insurtech: Innovative solutions have been introduced into the life insurance market through partnerships with technology businesses and the expansion of insurtech startups. These collaborations can improve customer offerings and digital capabilities.

  9. Life insurance investments India FY 2017-2024, by sector

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Life insurance investments India FY 2017-2024, by sector [Dataset]. https://www.statista.com/statistics/657138/value-of-life-insurance-investments-by-sector-india/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In the financial year 2024, the investments made by the public sector in India's life insurance industry stood at around ** trillion Indian rupees. The total investments made into the life insurance industry in the country that year amounted to around ** trillion rupees, marking a growth compared to the previous year's ** trillion rupees.

  10. o

    Supplementary data for: Life Insurance and Household Consumption

    • openicpsr.org
    Updated Nov 4, 2024
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    Jay Hong; José-Víctor Ríos-Rull (2024). Supplementary data for: Life Insurance and Household Consumption [Dataset]. http://doi.org/10.3886/E210201V2
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    Dataset updated
    Nov 4, 2024
    Dataset provided by
    Seoul National University
    University of Pennsylvania. Department of Economics
    Authors
    Jay Hong; José-Víctor Ríos-Rull
    Description

    Replication data for: Life Insurance and Household ConsumptionAmerican Economic Review, vol. 102, no. 7, December 2012 (pp. 3701–30)To construct a transition matrix for marital status by age, sex, we use the PSID of 1994 and 1999.-----------------PSID90dwc3.m matlab file to construct Marital Status Transtion Matrix(See online appendix) This generates q90, pi90, mu90.

  11. p

    Life Insurance Agencies in Turkey - 246 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 24, 2025
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    Poidata.io (2025). Life Insurance Agencies in Turkey - 246 Verified Listings Database [Dataset]. https://www.poidata.io/report/life-insurance-agency/turkey
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    excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Türkiye
    Description

    Comprehensive dataset of 246 Life insurance agencies in Turkey as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  12. p

    Life Insurance Agencies in Washington, United States - 1,924 Verified...

    • poidata.io
    csv, excel, json
    Updated Aug 12, 2025
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    Poidata.io (2025). Life Insurance Agencies in Washington, United States - 1,924 Verified Listings Database [Dataset]. https://www.poidata.io/report/life-insurance-agency/united-states/washington
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Washington, United States
    Description

    Comprehensive dataset of 1,924 Life insurance agencies in Washington, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  13. d

    The announcement and review of the results for the qualification examination...

    • data.gov.tw
    csv
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    Financial Supervisory Commission, Insurance Bureau, The announcement and review of the results for the qualification examination for life insurance salespersons. [Dataset]. https://data.gov.tw/en/datasets/14546
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Financial Supervisory Commission, Insurance Bureau
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Insurance agent qualification examination results announced review (Life Insurance Association)

  14. S

    Global Life & Health Reinsurance Market Historical Impact Review 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jul 2025
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    Stats N Data (2025). Global Life & Health Reinsurance Market Historical Impact Review 2025-2032 [Dataset]. https://www.statsndata.org/report/life-health-reinsurance-market-299322
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    pdf, excelAvailable download formats
    Dataset updated
    Jul 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Life & Health Reinsurance market plays a pivotal role in the insurance industry by providing essential risk management solutions to primary insurers. Reinsurers offer financial protection by assuming some of the risk associated with life and health policies, enabling primary insurers to maintain adequate capital

  15. p

    Life Insurance Agencies in Massachusetts, United States - 997 Verified...

    • poidata.io
    csv, excel, json
    Updated Aug 12, 2025
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    Poidata.io (2025). Life Insurance Agencies in Massachusetts, United States - 997 Verified Listings Database [Dataset]. https://www.poidata.io/report/life-insurance-agency/united-states/massachusetts
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Massachusetts, United States
    Description

    Comprehensive dataset of 997 Life insurance agencies in Massachusetts, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  16. Strategic Market Intelligence: Life Insurance in Hong Kong – Key trends and...

    • store.globaldata.com
    Updated Jun 28, 2019
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    GlobalData UK Ltd. (2019). Strategic Market Intelligence: Life Insurance in Hong Kong – Key trends and Opportunities to 2022 [Dataset]. https://store.globaldata.com/report/strategic-market-intelligence-life-insurance-in-hong-kong-key-trends-and-opportunities-to-2022/
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    Dataset updated
    Jun 28, 2019
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2019 - 2023
    Area covered
    Hong Kong, Asia
    Description

    GlobalData’s 'Strategic Market Intelligence: Life Insurance in Hong Kong – Key Trends and Opportunities to 2022’ report provides a detailed outlook by product category for the Hong Kong life insurance segment.
    It provides values for key performance indicators such as written premium, premium by consumer segment and life insurance penetration during the review period (2013–2017) and forecast period (2017–2022). Read More

  17. China Life Insurance Analysis Report For Market Growth

    • quaintel.com
    Updated Aug 10, 2023
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    Quaintel Research Solutions (2023). China Life Insurance Analysis Report For Market Growth [Dataset]. https://quaintel.com/public/store/report/china-life-insurance-co-ltd-company-profile-swot-pestle-value-chain-analysis
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    Dataset updated
    Aug 10, 2023
    Dataset provided by
    Authors
    Quaintel Research Solutions
    License

    https://quaintel.com/privacy-policyhttps://quaintel.com/privacy-policy

    Area covered
    Global
    Description

    China Life Insurance Co Ltd report covers SWOT PESTLE Value Chain Financial Insight and ESG strategies for insurance market growth and risk analysis.: “ Read More

  18. f

    Medical care costs of cancer in the last year of life using national health...

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Mihai Park; Inmyung Song (2023). Medical care costs of cancer in the last year of life using national health insurance data in Korea [Dataset]. http://doi.org/10.1371/journal.pone.0197891
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mihai Park; Inmyung Song
    License

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

    Description

    BackgroundMedical care of cancer patients at the end-of-life is costly. This study aims to describe the monthly trends of EOL medical care, drug therapy, and chemotherapy costs per patient with cancer in the last year of life in the inpatients vs. outpatient setting for the 13 most prevalent cancers in Korea.MethodsUsing the Health Insurance Review and Assessment Service (HIRA) database, we identified the patients who had been treated for the primary diagnoses of one of the 13 most prevalent cancers in Korea and died between January 1, 2013 and December 31, 2015. We calculated the mean monthly costs of medical care, drug therapy, and chemotherapy per patient in the last year of life by cancer site and patient setting (inpatient vs. outpatient).ResultsFor most cancers, the monthly inpatient costs per patient remain stable or increased gradually from 12 months to 3 months prior to death and then increased steeply from 2 months prior to death. The mean monthly inpatient costs per patient were highest for acute myeloid leukemia (AML) throughout the last year of life; all solid tumors had similar trends of monthly inpatient costs. The mean monthly inpatient costs for AML increased from $5,465 (SD, $5,248) in 12 months prior to death to $15,033 (SD, $11,864) in the last month. The monthly outpatient costs per patient showed similar, gradually decreasing trends for most cancers. The mean outpatient costs were highest for kidney cancer; the costs sharply decreased from $954 (SD, $1,346) in 12 months prior to death to $424 (SD, $736) in the last month. The proportion of inpatients receiving chemotherapy in the last month of life was highest for AML (77%), followed by liver cancer (67%) and breast cancer (56%).ConclusionThe monthly inpatient medical care costs per patient with cancer increased as the patient approached death, while the monthly outpatient costs decreased. A considerable proportion of inpatient received chemotherapy in the last month of life. Efforts are needed to optimize EOL care for cancer patients.

  19. Insurance

    • kaggle.com
    Updated Jun 5, 2022
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    G DEEPAK REDDY (2022). Insurance [Dataset]. https://www.kaggle.com/datasets/gdeepakreddy/insurance
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 5, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    G DEEPAK REDDY
    Description

    Business Problem: We all know that Health care is very important domain in the market. It is directly linked with the life of the individual; hence we have to be always be proactive in this particular domain. Money plays a major role in this domain, because sometime treatment becomes super costly and if any individual is not covered under the insurance then it will become a pretty tough financial situation for that individual. The companies in the medical insurance also want to reduce their risk by optimizing the insurance cost, because we all know a healthy body is in the hand of the individual only. If individual eat healthy and do proper exercise the chance of getting ill is drastically reduced. Goal & Objective: The objective of this exercise is to build a model, using data that provide the optimum insurance cost for an individual. You have to use the health and habit related parameters for the estimated cost of insurance

    Review Parameters Review points 1) Introduction of the business problem a) Defining problem statement
    b) Need of the study/project
    c) Understanding business/social opportunity

    2)Data Report
    a) Understanding how data was collected in terms of time, frequency and methodology
    b) Visual inspection of data (rows, columns, descriptive details)
    c) Understanding of attributes (variable info, renaming if required)

    3) Exploratory data analysis
    a) Univariate analysis (distribution and spread for every continuous attribute, distribution of data in categories for categorical ones)
    b) Bivariate analysis (relationship between different variables , correlations)
    a) Removal of unwanted variables (if applicable)
    b) Missing Value treatment (if applicable)
    d) Outlier treatment (if required)
    e) Variable transformation (if applicable)
    f) Addition of new variables (if required)

    4) Business insights from EDA a) Is the data unbalanced? If so, what can be done? Please explain in the context of the business
    b) Any business insights using clustering (if applicable)
    c) Any other business insights

  20. p

    Life Insurance Agencies in New York, United States - 3,940 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 8, 2025
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    Poidata.io (2025). Life Insurance Agencies in New York, United States - 3,940 Verified Listings Database [Dataset]. https://www.poidata.io/report/life-insurance-agency/united-states/new-york
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Poidata.io
    Area covered
    New York, United States
    Description

    Comprehensive dataset of 3,940 Life insurance agencies in New York, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Financial Supervisory Commission , Executive Yuan (2025). Dispute Type Statistics Table - Insurance Industry - Life Insurance Company - Claims (Financial Consumer Arbitration Center) [Dataset]. https://data.gov.tw/en/datasets/11908

Dispute Type Statistics Table - Insurance Industry - Life Insurance Company - Claims (Financial Consumer Arbitration Center)

Explore at:
csvAvailable download formats
Dataset updated
Jun 2, 2025
Dataset authored and provided by
Financial Supervisory Commission , Executive Yuan
License

https://data.gov.tw/licensehttps://data.gov.tw/license

Description

Life insurance claims and application review case dispute type statistics.

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