100+ datasets found
  1. U

    United States Life and Accident & Health Insurance: Direct Written Premium:...

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance [Dataset]. https://www.ceicdata.com/en/united-states/life-accident--health-premium-by-line-of-business/life-and-accident--health-insurance-direct-written-premium-life-insurance
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    Dataset updated
    Nov 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, 2018 - Jun 1, 2024
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance data was reported at 107.900 USD bn in Jun 2024. This records a decrease from the previous number of 213.900 USD bn for Dec 2023. United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance data is updated semiannually, averaging 161.750 USD bn from Dec 2007 (Median) to Jun 2024, with 30 observations. The data reached an all-time high of 213.900 USD bn in Dec 2023 and a record low of 81.900 USD bn in Jun 2014. United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG024: Life, Accident & Health: Premium by Line of Business.

  2. Health insurance dataset | India-2022

    • kaggle.com
    Updated May 28, 2023
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    balaji adithya (2023). Health insurance dataset | India-2022 [Dataset]. https://www.kaggle.com/datasets/balajiadithya/health-insurance-dataset-india-2022
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 28, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    balaji adithya
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    India
    Description

    Context

    This public dataset contains data concerning the public and private insurance companies provided by IRDAI(Insurance Regulatory and Development Authority of India) from 2013-2022. This is a multi-index data and can be a great practice to hone manipulation of pandas multi-index dataframes. Mainly, the business of the companies (total premiums and number of policies), subscription information(number of people subscribed), Claims incurred and the Network hospitals enrolled by Third Party Administrators are attributes focused by the dataset.

    Content

    The Excel file contains the following data | Table No.| Contents| | --- | --- | |**A**|**III.A: HEALTH INSURANCE BUSINESS OF GENERAL AND HEALTH INSURERS**| |62| Health Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |63| Personal Accident Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |64| Overseas Travel Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |65| Domestic Travel Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |66| Health Insurance - Net Premium Earned, Incurred Claims and Incurred Claims Ratio| |67| Personal Accident Insurance - Net Premium Earned, Incurred Claims and Incurred Claims Ratio| |68| Overseas Travel Insurance - Net Earned Premium, Incurred Claims and Incurred Claims Ratio| |69| Domestic Travel Insurance - Net Earned Premium, Incurred Claims and Incurred Claims Ratio| |70| Details of Claims Development and Aging - Health Insurance Business| |71| State-wise Health Insurance Business| |72| State-wise Individual Health Insurance Business| |73| State-wise Personal Accident Insurance Business| |74| State-wise Overseas Insurance Business| |75| State-wise Domestic Insurance Business| |76| State-wise Claims Settlement under Health Insurance Business| |**B**|**III.B: HEALTH INSURANCE BUSINESS OF LIFE INSURERS**| |77| Health Insurance Business in respect of Products offered by Life Insurers - New Busienss| |78| Health Insurance Business in respect of Products offered by Life insurers - Renewal Business| |79| Health Insurance Business in respect of Riders attached to Life Insurance Products - New Business| |80| Health Insurance Business in respect of Riders attached to Life Insurance Products - Renewal Business| |**C**|**III.C: OTHERS**| |81| Network Hospital Enrolled by TPAs| |82| State-wise Details on Number of Network Providers |

  3. U

    United States Life Insurers: Premium Receipts: Net Business: Health...

    • ceicdata.com
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    CEICdata.com, United States Life Insurers: Premium Receipts: Net Business: Health Insurance [Dataset]. https://www.ceicdata.com/en/united-states/life-insurance-premium-receipts/life-insurers-premium-receipts-net-business-health-insurance
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    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, 2012 - Dec 1, 2023
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life Insurers: Premium Receipts: Net Business: Health Insurance data was reported at 202.874 USD bn in 2023. This records an increase from the previous number of 189.882 USD bn for 2022. United States Life Insurers: Premium Receipts: Net Business: Health Insurance data is updated yearly, averaging 166.164 USD bn from Dec 2001 (Median) to 2023, with 23 observations. The data reached an all-time high of 202.874 USD bn in 2023 and a record low of 103.413 USD bn in 2001. United States Life Insurers: Premium Receipts: Net Business: Health Insurance data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG005: Life Insurance: Premium Receipts.

  4. N

    Netherlands Life Insurance: Gross Premium Earned: Health Insurance

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Netherlands Life Insurance: Gross Premium Earned: Health Insurance [Dataset]. https://www.ceicdata.com/en/netherlands/life-insurance-premium/life-insurance-gross-premium-earned-health-insurance
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    Dataset updated
    Oct 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
    Mar 1, 2016 - Jun 1, 2018
    Area covered
    Netherlands
    Variables measured
    Insurance Market
    Description

    Netherlands Life Insurance: Gross Premium Earned: Health Insurance data was reported at 1,116.000 EUR mn in Jun 2018. This records an increase from the previous number of 545.000 EUR mn for Mar 2018. Netherlands Life Insurance: Gross Premium Earned: Health Insurance data is updated quarterly, averaging 1,082.500 EUR mn from Mar 2016 (Median) to Jun 2018, with 10 observations. The data reached an all-time high of 2,201.000 EUR mn in Dec 2017 and a record low of 511.000 EUR mn in Mar 2016. Netherlands Life Insurance: Gross Premium Earned: Health Insurance data remains active status in CEIC and is reported by De Nederlandsche Bank. The data is categorized under Global Database’s Netherlands – Table NL.RG001: Life Insurance: Premium.

  5. N

    Netherlands Life Insurance: Net Premium Earned: Health Insurance

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Netherlands Life Insurance: Net Premium Earned: Health Insurance [Dataset]. https://www.ceicdata.com/en/netherlands/life-insurance-premium/life-insurance-net-premium-earned-health-insurance
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    Dataset updated
    Oct 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
    Mar 1, 2016 - Jun 1, 2018
    Area covered
    Netherlands
    Variables measured
    Insurance Market
    Description

    Netherlands Life Insurance: Net Premium Earned: Health Insurance data was reported at 1,024.000 EUR mn in Jun 2018. This records an increase from the previous number of 500.000 EUR mn for Mar 2018. Netherlands Life Insurance: Net Premium Earned: Health Insurance data is updated quarterly, averaging 994.000 EUR mn from Mar 2016 (Median) to Jun 2018, with 10 observations. The data reached an all-time high of 2,016.000 EUR mn in Dec 2017 and a record low of 451.000 EUR mn in Mar 2016. Netherlands Life Insurance: Net Premium Earned: Health Insurance data remains active status in CEIC and is reported by De Nederlandsche Bank. The data is categorized under Global Database’s Netherlands – Table NL.RG001: Life Insurance: Premium.

  6. 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
    PLOShttp://plos.org/
    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.

  7. U

    United States Life and Accident & Health Insurance: Net Written Premium:...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Life and Accident & Health Insurance: Net Written Premium: Life Insurance [Dataset]. https://www.ceicdata.com/en/united-states/life-accident--health-premium-by-line-of-business/life-and-accident--health-insurance-net-written-premium-life-insurance
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    Dataset updated
    Feb 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, 2018 - Jun 1, 2024
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life and Accident & Health Insurance: Net Written Premium: Life Insurance data was reported at 87.000 USD bn in Jun 2024. This records a decrease from the previous number of 124.600 USD bn for Dec 2023. United States Life and Accident & Health Insurance: Net Written Premium: Life Insurance data is updated semiannually, averaging 124.100 USD bn from Dec 2007 (Median) to Jun 2024, with 30 observations. The data reached an all-time high of 175.200 USD bn in Dec 2022 and a record low of 56.000 USD bn in Jun 2017. United States Life and Accident & Health Insurance: Net Written Premium: Life Insurance data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG024: Life, Accident & Health: Premium by Line of Business.

  8. m

    Medipal Holdings Corp - Ebitda-Interest-Coverage

    • macro-rankings.com
    csv, excel
    Updated Oct 4, 2025
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    macro-rankings (2025). Medipal Holdings Corp - Ebitda-Interest-Coverage [Dataset]. https://www.macro-rankings.com/markets/stocks/7459-tse/key-financial-ratios/Solvency/ebitda-interest-coverage
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    excel, csvAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Ebitda-Interest-Coverage Time Series for Medipal Holdings Corp. Medipal Holdings Corporation engages in the prescription pharmaceutical wholesale business in Japan. It procures healthcare products related to diagnostics, testing, treatment, and administration comprising medical equipment and medical materials, and clinical diagnostic reagents for use from the pre-symptomatic stage; handles PMS services on contract for manufacturers; and invests in orphan drugs and other products. The company is also involved in the wholesale of cosmetics, daily necessities, and OTC pharmaceuticals; and animal health products for companion animals; and food processing raw materials for agriculture, fisheries, and livestock. In addition, it engages in the contract-based epidemiological studies, clinical studies, etc.; creation of a computerized medical supply database and master product databases for medical facilities; life and non-life insurance agency business; cleaning management; management and operation of distribution centers; commissioned delivery and worker dispatch business; planning, management, administration, and product and service development for the class A health dispensing pharmacies service brand; and distributes specialty pharmaceuticals. Further, the company is involved in contract logistics services; information provision services; health insurance claims review, medical coding dispatch, outsourcing and remote education; and creation of a medical supply database and master product databases for medical facilities. It serves hospitals, clinics, dispensing pharmacies, drugstores, home centers, convenience stores, supermarkets, discount stores, animal hospitals, livestock and fish producers, and processed food manufacturers. The company was formerly known as Mediceo Paltac Holdings Co., Ltd. and changed its name to Medipal Holdings Corporation in October 2009. Medipal Holdings Corporation was founded in 1898 and is headquartered in Tokyo, Japan.

  9. m

    Medipal Holdings Corp - Accounts-Payable

    • macro-rankings.com
    csv, excel
    Updated Oct 7, 2025
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    macro-rankings (2025). Medipal Holdings Corp - Accounts-Payable [Dataset]. https://www.macro-rankings.com/markets/stocks/7459-tse/balance-sheet/accounts-payable
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    csv, excelAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Accounts-Payable Time Series for Medipal Holdings Corp. Medipal Holdings Corporation engages in the prescription pharmaceutical wholesale business in Japan. It procures healthcare products related to diagnostics, testing, treatment, and administration comprises medical equipment and medical materials, and clinical diagnostic reagents for use from the pre-symptomatic stage; handles PMS services on contract for manufacturers; and invests in orphan drugs and other products. The company is involved in the wholesale of cosmetics, daily necessities, and OTC pharmaceuticals; and animal health products for companion animals; food processing raw materials for agriculture, fisheries, and livestock. In addition, it engages in the contract-based epidemiological studies, clinical studies, etc.; creation of a computerized medical supply database and master product databases for medical facilities; life and non-life insurance agency business; cleaning management; management and operation of distribution centers; commissioned delivery and worker dispatch business; planning, management, administration, and product and service development for the class A health dispensing pharmacies service brand; and distributes specialty pharmaceuticals. Further, it engages in contract logistics services; offers information provision services; health insurance claims review, medical coding dispatch, outsourcing and remote education; and creation of a medical supply database, creation of master product databases for medical facilities. Medipal Holdings Corporation serves hospitals, clinics, dispensing pharmacies, drugstores, home centers, convenience stores, supermarkets, discount stores, animal hospitals, livestock and fishery businesses, and processed food manufacturers. The company was formerly known as Mediceo Paltac Holdings Co., Ltd. and changed its name to Medipal Holdings Corporation in October 2009. The company was founded in 1898 and is headquartered in Tokyo, Japan.

  10. m

    Medipal Holdings Corp - Liabilities-and-Stockholders-Equity

    • macro-rankings.com
    csv, excel
    Updated Oct 4, 2025
    + more versions
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    macro-rankings (2025). Medipal Holdings Corp - Liabilities-and-Stockholders-Equity [Dataset]. https://www.macro-rankings.com/markets/stocks/7459-tse/balance-sheet/liabilities-and-stockholders-equity
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Liabilities-and-Stockholders-Equity Time Series for Medipal Holdings Corp. Medipal Holdings Corporation engages in the prescription pharmaceutical wholesale business in Japan. It procures healthcare products related to diagnostics, testing, treatment, and administration comprises medical equipment and medical materials, and clinical diagnostic reagents for use from the pre-symptomatic stage; handles PMS services on contract for manufacturers; and invests in orphan drugs and other products. The company is involved in the wholesale of cosmetics, daily necessities, and OTC pharmaceuticals; and animal health products for companion animals; food processing raw materials for agriculture, fisheries, and livestock. In addition, it engages in the contract-based epidemiological studies, clinical studies, etc.; creation of a computerized medical supply database and master product databases for medical facilities; life and non-life insurance agency business; cleaning management; management and operation of distribution centers; commissioned delivery and worker dispatch business; planning, management, administration, and product and service development for the class A health dispensing pharmacies service brand; and distributes specialty pharmaceuticals. Further, it engages in contract logistics services; offers information provision services; health insurance claims review, medical coding dispatch, outsourcing and remote education; and creation of a medical supply database, creation of master product databases for medical facilities. Medipal Holdings Corporation serves hospitals, clinics, dispensing pharmacies, drugstores, home centers, convenience stores, supermarkets, discount stores, animal hospitals, livestock and fishery businesses, and processed food manufacturers. The company was formerly known as Mediceo Paltac Holdings Co., Ltd. and changed its name to Medipal Holdings Corporation in October 2009. The company was founded in 1898 and is headquartered in Tokyo, Japan.

  11. U

    United States Life Insurers: Policy Reserves: Separate account: Health...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Life Insurers: Policy Reserves: Separate account: Health Insurance [Dataset]. https://www.ceicdata.com/en/united-states/life-insurance-policy-reserves/life-insurers-policy-reserves-separate-account-health-insurance
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    Dataset updated
    Feb 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, 2012 - Dec 1, 2023
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life Insurers: Policy Reserves: Separate account: Health Insurance data was reported at 9.957 USD bn in 2023. This records an increase from the previous number of 8.675 USD bn for 2022. United States Life Insurers: Policy Reserves: Separate account: Health Insurance data is updated yearly, averaging 3.399 USD bn from Dec 2001 (Median) to 2023, with 23 observations. The data reached an all-time high of 10.936 USD bn in 2021 and a record low of 888.000 USD mn in 2001. United States Life Insurers: Policy Reserves: Separate account: Health Insurance data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG004: Life Insurance: Policy Reserves.

  12. m

    Medipal Holdings Corp - Inventory

    • macro-rankings.com
    csv, excel
    Updated Oct 5, 2025
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    macro-rankings (2025). Medipal Holdings Corp - Inventory [Dataset]. https://www.macro-rankings.com/markets/stocks/7459-tse/balance-sheet/inventory
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Oct 5, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    japan
    Description

    Inventory Time Series for Medipal Holdings Corp. Medipal Holdings Corporation engages in the prescription pharmaceutical wholesale business in Japan. It procures healthcare products related to diagnostics, testing, treatment, and administration comprising medical equipment and medical materials, and clinical diagnostic reagents for use from the pre-symptomatic stage; handles PMS services on contract for manufacturers; and invests in orphan drugs and other products. The company is also involved in the wholesale of cosmetics, daily necessities, and OTC pharmaceuticals; and animal health products for companion animals; and food processing raw materials for agriculture, fisheries, and livestock. In addition, it engages in the contract-based epidemiological studies, clinical studies, etc.; creation of a computerized medical supply database and master product databases for medical facilities; life and non-life insurance agency business; cleaning management; management and operation of distribution centers; commissioned delivery and worker dispatch business; planning, management, administration, and product and service development for the class A health dispensing pharmacies service brand; and distributes specialty pharmaceuticals. Further, the company is involved in contract logistics services; information provision services; health insurance claims review, medical coding dispatch, outsourcing and remote education; and creation of a medical supply database and master product databases for medical facilities. It serves hospitals, clinics, dispensing pharmacies, drugstores, home centers, convenience stores, supermarkets, discount stores, animal hospitals, livestock and fish producers, and processed food manufacturers. The company was formerly known as Mediceo Paltac Holdings Co., Ltd. and changed its name to Medipal Holdings Corporation in October 2009. Medipal Holdings Corporation was founded in 1898 and is headquartered in Tokyo, Japan.

  13. f

    Table 1_Status and factors related to hemoglobin concentration of people...

    • frontiersin.figshare.com
    docx
    Updated Mar 19, 2025
    + more versions
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    Seyune Lee; Young-Il Jung; Hyejung Yoon; Se-Youn Jung; Boyoung Jeon; In-Hwan Oh; Su Jin Jeong (2025). Table 1_Status and factors related to hemoglobin concentration of people with vs. without disability—using nationwide claims check-up database.docx [Dataset]. http://doi.org/10.3389/fnut.2025.1519098.s002
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    docxAvailable download formats
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Frontiers
    Authors
    Seyune Lee; Young-Il Jung; Hyejung Yoon; Se-Youn Jung; Boyoung Jeon; In-Hwan Oh; Su Jin Jeong
    License

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

    Description

    BackgroundBlood hemoglobin level is a key indicator of organ function and health status throughout the life course. As hemoglobin-related health problems are gaining attention, many studies on factors related to hemoglobin concentration are being conducted, yet few researches have been conducted targeting persons with disabilities. Furthermore, researches that consider the association between blood hemoglobin and the regional level health welfare resources are rare. This study aimed to explore the factors related to blood hemoglobin concentration among people with and without disability, and to contribute to the development of future nutritional policies and projects for persons with disabilities.MethodsA health insurance claims database with check-ups provided by the National Health Insurance Services (NHIS) was used. One-to-three propensity score matching was conducted between participants with and without disabilities. In addition to the individual clinical and health behavioral aspects based on the claims data, regional-level data of healthcare and social welfare resources was also collected, and multi-level analysis was conducted to identify factors associated with low blood hemoglobin level.ResultsA total of 1,697 participants with disability and 5,091 without disabilities were yielded. Disability was significantly associated with lower hemoglobin level, even after propensity score matching. Sex, BMI, health behaviors, and clinical indicators were significantly associated with the blood hemoglobin level. Furthermore, region-level welfare budget was a significant factor among persons with disability.ConclusionOur findings confirmed the significant association between disability and lower hemoglobin level. Regional health and welfare resources, as well as individual characteristics should be considered in implementation of further nutrition and health policies for persons with disabilities. Further studies are needed to understand of health outcomes of low hemoglobin level.

  14. U

    United States LIfe insurers: Policy Reserves: Health Insurance: Individual

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States LIfe insurers: Policy Reserves: Health Insurance: Individual [Dataset]. https://www.ceicdata.com/en/united-states/life-insurance-policy-reserves/life-insurers-policy-reserves-health-insurance-individual
    Explore at:
    Dataset updated
    Feb 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, 2017
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States LIfe insurers: Policy Reserves: Health Insurance: Individual data was reported at 206.218 USD bn in 2017. This records an increase from the previous number of 194.592 USD bn for 2016. United States LIfe insurers: Policy Reserves: Health Insurance: Individual data is updated yearly, averaging 146.362 USD bn from Dec 2001 (Median) to 2017, with 16 observations. The data reached an all-time high of 206.218 USD bn in 2017 and a record low of 65.296 USD bn in 2001. United States LIfe insurers: Policy Reserves: Health Insurance: Individual data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG004: Life Insurance: Policy Reserves.

  15. p

    Insurance Agent Email List

    • listtodata.com
    • mi.listtodata.com
    • +2more
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). Insurance Agent Email List [Dataset]. https://listtodata.com/insurance-agent-email-list
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 17, 2025
    Authors
    List to Data
    License

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

    Time period covered
    Jan 1, 2025 - Dec 31, 2025
    Area covered
    Comoros, Congo (Democratic Republic of the), Burkina Faso, Cabo Verde, Albania, El Salvador, Namibia, Kazakhstan, Iceland, Montserrat
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    Insurance agent email list is a list of email addresses of insurance agents. It helps you reach many agents fast. You can use it for business, offers, or updates. It includes names, email addresses, phone numbers, company names, and locations. That also shows what type of insurance they sell—life, health, auto, or home. Many companies use this list. Insurance firms use it to share new plans. Software companies use it to sell tools for agents. Training centers use it to invite agents to courses or events. You can buy an insurance agent email list for direct marketing. These numbers are more reliable and updated often and have fewer errors.

    Insurance agent email list is a helpful and crucial tool for direct marketing. We follow email and privacy laws. Agents must agree to get emails. This is called “opt-in.” If not, your email may go to spam or cause legal problems. You can build your own list or get one from a trusted company. Some lists are national. Others focus on local areas. A valid email directory saves time and helps grow your business. You can send news, offers, or job info with one click. It builds trust and strong connections. In short, an insurance agent email list is a smart tool. It helps with marketing, sales, and hiring. When used right, it brings incredible results. Insurance agent email database will help any business to gain a huge return on investment (ROI). Besides, you can communicate with many well-known company owners by sending text messages to them. Furthermore, they will get to know about the brand and products directly. Also, we follow the GDPR rules and rules completely. It will make your business more profitable through digital campaigns. If any business person wants to get more earnings, they have to buy contacts from List to Data. Likewise, we assure you that our service cost is more affordable. This will help to do online marketing in B2B and B2C platforms. So, if you face any issue in taking our service, we have a proper solution for this.

  16. U

    United States Life Insurers: Policy Reserves: Separate account: Health...

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). United States Life Insurers: Policy Reserves: Separate account: Health Insurance: Individual [Dataset]. https://www.ceicdata.com/en/united-states/life-insurance-policy-reserves/life-insurers-policy-reserves-separate-account-health-insurance-individual
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    Dataset updated
    Mar 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, 2001 - Dec 1, 2008
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life Insurers: Policy Reserves: Separate account: Health Insurance: Individual data was reported at 228.000 USD mn in 2008. This records a decrease from the previous number of 251.000 USD mn for 2007. United States Life Insurers: Policy Reserves: Separate account: Health Insurance: Individual data is updated yearly, averaging 116.000 USD mn from Dec 2001 (Median) to 2008, with 7 observations. The data reached an all-time high of 251.000 USD mn in 2007 and a record low of 1.000 USD mn in 2001. United States Life Insurers: Policy Reserves: Separate account: Health Insurance: Individual data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG004: Life Insurance: Policy Reserves.

  17. f

    Results of scenario analyses.

    • figshare.com
    xls
    Updated Jun 10, 2024
    + more versions
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    Tzu-Hsuan Tseng; Shao-Chin Chiang; Jason C. Hsu; Yu Ko (2024). Results of scenario analyses. [Dataset]. http://doi.org/10.1371/journal.pone.0303294.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Tzu-Hsuan Tseng; Shao-Chin Chiang; Jason C. Hsu; Yu Ko
    License

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

    Description

    ObjectivesTo examine the cost-effectiveness of using granulocyte colony-stimulating factor (G-CSF) for primary or secondary prophylaxis in patients with breast cancer from the perspective of Taiwan’s National Health Insurance Administration.MethodsA Markov model was constructed to simulate the events that may occur during and after a high-risk chemotherapy treatment. Various G-CSF prophylaxis strategies and medications were compared in the model. Effectiveness data were derived from the literature and an analysis of the National Health Insurance Research Database (NHIRD). Cost data were obtained from a published NHIRD study, and health utility values were also obtained from the literature. Sensitivity analyses were performed to assess the uncertainty of the cost-effectiveness results.ResultsIn the base-case analysis, primary prophylaxis with pegfilgrastim had an incremental cost-effectiveness ratio (ICER) of NT$269,683 per quality-adjusted life year (QALY) gained compared to primary prophylaxis with lenograstim. The ICER for primary prophylaxis with lenograstim versus no G-CSF prophylaxis was NT$61,995 per QALY gained. The results were most sensitive to variations in relative risk of febrile neutropenia (FN) for pegfilgrastim versus no G-CSF prophylaxis. Furthermore, in the probabilistic sensitivity analysis, at a willingness-to-pay threshold of one times Taiwan’s gross domestic product per capita, the probability of being cost-effective was 88.1% for primary prophylaxis with pegfilgrastim.ConclusionsOur study suggests that primary prophylaxis with either short- or long-acting G-CSF could be considered cost-effective for FN prevention in breast cancer patients receiving high-risk regimens.

  18. U

    United States Life and Accident & Health Insurance: Net Written Premium

    • ceicdata.com
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    CEICdata.com, United States Life and Accident & Health Insurance: Net Written Premium [Dataset]. https://www.ceicdata.com/en/united-states/life-accident--health-premium-by-line-of-business/life-and-accident--health-insurance-net-written-premium
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    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, 2018 - Jun 1, 2024
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life and Accident & Health Insurance: Net Written Premium data was reported at 524.500 USD bn in Jun 2024. This records a decrease from the previous number of 822.800 USD bn for Dec 2023. United States Life and Accident & Health Insurance: Net Written Premium data is updated semiannually, averaging 538.250 USD bn from Dec 2007 (Median) to Jun 2024, with 30 observations. The data reached an all-time high of 858.000 USD bn in Dec 2022 and a record low of 261.300 USD bn in Jun 2013. United States Life and Accident & Health Insurance: Net Written Premium data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG024: Life, Accident & Health: Premium by Line of Business.

  19. F

    France Life and Health Insurance: Direct Premium Written: Accident and...

    • ceicdata.com
    + more versions
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    CEICdata.com, France Life and Health Insurance: Direct Premium Written: Accident and Health [Dataset]. https://www.ceicdata.com/en/france/life-and-health-insurance-premium/life-and-health-insurance-direct-premium-written-accident-and-health
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    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, 2010 - Dec 1, 2016
    Area covered
    France
    Variables measured
    Insurance Market
    Description

    France Life and Health Insurance: Direct Premium Written: Accident and Health data was reported at 22,500.000 EUR mn in 2017. This records an increase from the previous number of 21,500.000 EUR mn for 2016. France Life and Health Insurance: Direct Premium Written: Accident and Health data is updated yearly, averaging 19,800.000 EUR mn from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 22,500.000 EUR mn in 2017 and a record low of 17,400.000 EUR mn in 2010. France Life and Health Insurance: Direct Premium Written: Accident and Health data remains active status in CEIC and is reported by French Federation of Insurance Companies. The data is categorized under Global Database’s France – Table FR.RG004: Life and Health Insurance: Premium.

  20. U

    United States Life insurers: Policy Reserves: Health Insurance: Credit

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). United States Life insurers: Policy Reserves: Health Insurance: Credit [Dataset]. https://www.ceicdata.com/en/united-states/life-insurance-policy-reserves/life-insurers-policy-reserves-health-insurance-credit
    Explore at:
    Dataset updated
    Oct 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, 2017
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Life insurers: Policy Reserves: Health Insurance: Credit data was reported at 895.000 USD mn in 2017. This records a decrease from the previous number of 931.000 USD mn for 2016. United States Life insurers: Policy Reserves: Health Insurance: Credit data is updated yearly, averaging 1.399 USD bn from Dec 2001 (Median) to 2017, with 16 observations. The data reached an all-time high of 2.883 USD bn in 2001 and a record low of 895.000 USD mn in 2017. United States Life insurers: Policy Reserves: Health Insurance: Credit data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG004: Life Insurance: Policy Reserves.

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CEICdata.com (2025). United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance [Dataset]. https://www.ceicdata.com/en/united-states/life-accident--health-premium-by-line-of-business/life-and-accident--health-insurance-direct-written-premium-life-insurance

United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance

Explore at:
Dataset updated
Nov 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, 2018 - Jun 1, 2024
Area covered
United States
Variables measured
Insurance Market
Description

United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance data was reported at 107.900 USD bn in Jun 2024. This records a decrease from the previous number of 213.900 USD bn for Dec 2023. United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance data is updated semiannually, averaging 161.750 USD bn from Dec 2007 (Median) to Jun 2024, with 30 observations. The data reached an all-time high of 213.900 USD bn in Dec 2023 and a record low of 81.900 USD bn in Jun 2014. United States Life and Accident & Health Insurance: Direct Written Premium: Life Insurance data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG024: Life, Accident & Health: Premium by Line of Business.

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