The website shows data on the plan and implementation of the health services program by individual health activities (VZD) :

• hospital medical activity,
• general outpatient medical activity,
• specialist outpatient medical activity,
• dental practice,
• other health activities,
• activity of accommodation facilities for patient care,
• social care without accommodation for the elderly and disabled,
• production of pharmaceutical preparations,
• retail trade in specialized stores with pharmaceutical products,
• compulsory social security activity.

Within the framework of each activity, the data for each period are shown separately by contractors and together, the activity by regional units of ZZZS and the activity data at the level of Slovenia together.

Data on the plan and implementation of the health services program are shown in the accounting unit (e.g. points, quotients, weights, groups of comparable cases, non-medical care day, care, days...), which are used to calculate the work performed in the field of individual activities.

The publication of information about the plan and implementation of the program on the ZZZS website is primarily intended for the professional public. The displayed program plan for an individual contractor refers to the defined billing period. (example: The plan for the period 1-3 201X is calculated as 3/12 of the annual plan agreed in the contract).

The data on the implementation of the program represents the implementation of the program at an individual provider for insured persons who benefited from medical services from him during the accounting period. Data on the realization of the program do not refer to persons insured in accordance with the European legal order and bilateral agreements on social security. Data for individual contractors are classified by regional units based on the contractor's headquarters. The content of the data on the "number of cases" is defined in the Instruction on recording and accounting for medical services and issued materials.

The institute reserves the right to change the data, in the event of subsequently discovered irregularities after already published on the Internet.

Abstract

Taiwan launched a single-payer National Health Insurance program on March 1, 1995.

Documentation

Taiwan launched a single-payer National Health Insurance program on March 1, 1995. As of 2014, 99.9% of Taiwan\342\200\231s population were enrolled. Foreigners in Taiwan are also eligible for this program. The database of this program contains registration files and original claim data for reimbursement. Large computerized databases derived from this system by the National Health Insurance Administration (the former Bureau of National Health Insurance, BNHI), Ministry of Health and Welfare (the former Department of Health, DOH), Taiwan and maintained by the National Health Research Institutes, Taiwan, are provided to scientists in Taiwan for research purposes.

An article describing these data in greater detail can be found here: Lessons From the Taiwan National Health Insurance Research Database

Patient characteristics Individuals enrolled in the Taiwanese national healthcare system

Data overview Data categories Inpatient Outpatient Pharmacy data Over-the-counter drugs Chinese medicine Clinician information Hospital information

Linkages include Household Birth certificate Death certificate Cancer Immunization record Reportable infectious disease

Notes If you are interested in a collaboration working with these data, please contact the Dr Ann Hsing at .

United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month 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.RG017: Health Insurance: Industry Financial Snapshots.

The mission of the Bay Area Health Task Force (BAHTF) was to address the issues and problems of the growing number of people who were uninsured for health care. With the support of the Robert Wood Johnson Foundation, BAHTF established the Health Insurance Helpline, which provided health insurance information and referrals for small businesses. This data collection was produced in order to evaluate this Helpline. The data collection consists of four sets of data, one from each year that the Helpline service was offered (1989 through 1992). The unit of analysis is calls received by the Helpline, which were categorized by the type of caller (business, individual, other) and type of service received (broker referral, guidebook only, other). Callers were generally categorized as insured businesses, uninsured businesses, insured individuals, or uninsured individuals. (The category "other" was left for callers who could not be clearly classified as business or individual callers.) A follow-up was conducted for over a quarter of the callers to obtain feedback about the program. Callers provided information concerning their reason for calling, the number of employees they had working full-time, the nature of their business firm, whether the business firm offered health insurance, and which plan they offered.

The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains data from a nationally representative sample of insured individuals for the 2016 calendar year. SyH-DR uses synthetic data elements at the claim level to resemble the marginal distribution of the original data elements. SyH-DR person-level data elements are not synthetic, but identifying information is aggregated or masked.

United States Health Insurance: Enrollment data was reported at 271.000 USD mn in Sep 2024. This records an increase from the previous number of 269.000 USD mn for Jun 2024. United States Health Insurance: Enrollment data is updated quarterly, averaging 225.000 USD mn from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 278.000 USD mn in Jun 2023 and a record low of 174.000 USD mn in Jun 2012. United States Health Insurance: Enrollment 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.RG017: Health Insurance: Industry Financial Snapshots.

Characteristics in non-migraine headache and control cohorts in Taiwan, 1996–2012 (n = 216,470).

Disease diagnosis categories of traditional medicine visits and users in Taiwan in 2011.

This data package contains the Physician Quality Reporting System (PQRS), Performance Rates for Individual Eligible Professionals (EP) PQRS, Consumer Assessment of Healthcare Providers and Systems (CAHPS) and Group Practice.

The National Health Data System (SNDS) will make it possible to link:

• health insurance data (SNIIRAM database);
• hospital data (PMSI database);
• the medical causes of death (base of the CépiDC of Inserm);
• disability-related data (from MDPH - CNSA data);
• a sample of data from complementary health insurance organisations.

The first two categories of data are already available and constitute the first version of the SNDS. The medical causes of death should feed the SNDS from the second half of 2017. The first data from the CNSA will arrive from 2018 and the sample of complementary organizations in 2019.

The purpose of the SNDS is to make these data available in order to promote studies, research or evaluations of a nature in the public interest and contributing to one of the following purposes:

• health information;
• the implementation of health policies;
• knowledge of health expenditure;
• informing professionals and establishments about their activities;
• innovation in the fields of health and medico-social care;
• monitoring, surveillance and health security.

United States Health Insurance: Claims Per Member Per Month: Medicare data was reported at 1,111.000 USD in 2023. This records an increase from the previous number of 1,012.000 USD for 2022. United States Health Insurance: Claims Per Member Per Month: Medicare data is updated yearly, averaging 791.000 USD from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 1,111.000 USD in 2023 and a record low of 746.230 USD in 2007. United States Health Insurance: Claims Per Member Per Month: Medicare 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.RG022: Health Insurance: Operations by Lines of Business.

The OECD Health database is an online database with comparative information on health policies and health care systems across the OECD countries (OECD). The purpose of the database is to give a broad overview of health care in the member countries. It offers a series of reports, which contain diverse cross-national policy data, on issues like long-term care for older people, high-performing health systems and private health insurance. Here we focus on policy data.

Comprehensive dataset of 259 Health insurance agencies in Nevada, 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.

Dataset

This dataset was created by Bmarco

Released under Database: Open Database, Contents: Database Contents

Contents

Hudson, New York Health Insurance Coverage Statistics for 2023. Analyze over 50 metrics of the Hudson, New York health insurance coverage database including by age, education, race, gender, work experience and more. Health Insurance Coverage in Hudson, New York

Use and costs (US$) of healthcare services in the year 2010 by office-based physicians, hospital-based physicians, and comparison subjects.

Comprehensive dataset of 901 Health insurance agencies in Mexico 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.

The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace.

Exploration Ideas

To help get you started, here are some data exploration ideas:

• How do plan rates and benefits vary across states?
• How do plan benefits relate to plan rates?
• How do plan rates vary by age?
• How do plans vary across insurance network providers?

See this forum thread for more ideas, and post there if you want to add your own ideas or answer some of the open questions!

Data Description

This data was originally prepared and released by the Centers for Medicare & Medicaid Services (CMS). Please read the CMS Disclaimer-User Agreement before using this data.

Here, we've processed the data to facilitate analytics. This processed version has three components:

1. Original versions of the data

The original versions of the 2014, 2015, 2016 data are available in the "raw" directory of the download and "../input/raw" on Kaggle Scripts. Search for "dictionaries" on this page to find the data dictionaries describing the individual raw files.

2. Combined CSV files that contain

In the top level directory of the download ("../input" on Kaggle Scripts), there are six CSV files that contain the combined at across all years:

• BenefitsCostSharing.csv
• BusinessRules.csv
• Network.csv
• PlanAttributes.csv
• Rate.csv
• ServiceArea.csv

Additionally, there are two CSV files that facilitate joining data across years:

• Crosswalk2015.csv - joining 2014 and 2015 data
• Crosswalk2016.csv - joining 2015 and 2016 data

3. SQLite database

The "database.sqlite" file contains tables corresponding to each of the processed CSV files.

The code to create the processed version of this data is available on GitHub.

Jefferson County, New York Health Insurance Coverage Statistics for 2023. Analyze over 50 metrics of the Jefferson County, New York health insurance coverage database including by age, education, race, gender, work experience and more. 93.3% Health Insurance Coverage in Jefferson County, New York

Comprehensive dataset of 280 Health insurance agencies in Maryland, United States 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.