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Statistical Yearbook 2020
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  A.2. Data at national level (yearbook tables in xlsx format)  
  Summary data
  I. MAIN DEMOGRAPHIC CHARACTERISTICS OF THE POPULATION
      Methodology
      1. DEMOGRAPHY, VITAL EVENTS
      1.1. Main data of vital events
      1.2. Mortality by age-groups and sex, 2020
  II. NUMBER OF INSUREES AND PERSONS ENTITLED TO HEALTH CARE SERVICES
      Methodology
      1. NUMBER OF PERSONS ENTITLED TO HEALTH INSURANCE BENEFIT
      1.1. Average number of insurees
      1.2. Number of persons entitled to health care services by age groups at the end of 2020
  III. ECONOMIC DATA
      Methodology
      1. REVENUES
      1.1. Revenues of the Health Insurance Fund
      2. EXPENSES
      2.1. Expenses of the Health Insurance Fund
      2.2. Development of expenses of the Health Insurance Fund in percentage of GDP
      3. RECEIVABLE CLAIMS
      3.1. Development of receivable claims of social insurance accounts at the end of the year
      3.1.1. Development of receivable claims by Social Insurance Funds, without depreciation accounted, 31 December, 2020
      3.2. Stock of debts, 31 December, 2020
      3.2.1. Development of stock of debts on active current accounts by amount of debt, 31 December, 2020
  IV. DEVELOPMENT OF THE BENEFITS AND THE SERVICES OF THE HEALTH INSURANCE FUND
    IV/1. BENEFITS IN CASH
      Methodology
      1. SICK-PAY
      1.1. Expenses on sick-pay (ledger data)
      1.1.1. Development of monthly average earnings of employed persons (data of HCSO)
      1.2. Summary data of all sick-pay cases terminated and under way in the given year (statistical data)
      1.2.1. Data of sick-pay by legal title, 2020
      1.2.2. Data of sick-pay by broken down by type of sick-pay, 2020
      1.2.3. Main data of other sick-pay
      1.2.4. Main data of child-nursing sick-pay
      1.2.5. Main data of accident sick-pay (occupational accidents and diseases)
      1.3. Data of sick-pay cases finished (data collection based on social security identification number)
      1.3.1. Distribution of persons on sick-pay by sex, age-groups and type of sick-pay, 2020
      1.3.2. Distribution of number of terminated sick-pay cases and sick-pay days by length of sick-pay and sex, 2020
      1.3.3. Distribution of number of terminated labour accident cases and its sick-pay days by length of sick-pay and sex, 2020
      1.3.4. Distribution of number of terminated sick-pay cases and days by monthly gross average earnings and sex, 2020
      1.3.5. Distribution of number of terminated sick-pay cases and days by monthly gross amount of sick-pay and sex, 2020
      2. AIDING
      2.1. Aiding (one-time payment)
      3. COMPENSATION RENT
      3.1. Compensation rents paid by the Health Insurance Fund
      4. INFANT CARE ALLOWANCE, CHILD-CARE FEE AND ADOPTION FEE
      4.1. Infant care allowance
      4.2. Child-care fee
      4.2.1. Summary data on special types of child-care fee beneficiaries, 2020
      4.3. Adoption fee
      4.4. Main data of Infant care allowance and child-care fee (data collection based on social security identification number)
      4.4.1. Summary data of beneficiaries for Infant care allowance
      4.4.1.1. Number, monthly gross average earnings and monthly gross amounts of beneficiaries for infant care allowance by age-groups
      4.4.2. Summary data of child-care fee beneficiaries
      4.4.2.1. Number and monthly gross average earnings of child-care fee beneficiaries by age-groups
      4.4.2.2. Monthly gross amounts of child-care fee of child-care fee beneficiaries and proportion of persons receiving the maximum amount by age-groups
    IV/2. BENEFITS IN KIND
      5. MEDICAMENTS, MEDICAL DEVICES
      Methodology
      5.1. Social insurance subsidy
      5.1.1. Expenses of the subsidy on medicaments and medical devices (ledger data)
      5.2. Medicaments
      5.2.1. Ledger data of social insurance subsidy on medicaments, 2020
      5.2.2. Data of prescription turnover of pharmacies of subsidized medicament turnover
      5.2.2.1. Summary data of prescription turnover
      5.2.2.2. Development of social insurance subsidies on subsidized medicament turnover of pharmacies by legal title
      5.2.2.3. Development of public price on subsidized medicament turnover of pharmacies by legal title
      5.2.2.4. Distribution of turnover of subsidized pharmaceuticals sold in pharmacies and subsidy granted by social insurance, divided into ATC, 2020
      5.3. Medical devices
      5.3.1. Ledger data of social insurance subsidy on medical devices, 2020
      5.3.2. Distribution of subsidized turnover and social insurance subsidy on medical devices by groups of products, 2019 (data of prescription turnover)
      5.3.2.1. Development of medical devices of subsidized turnover (data of prescription turnover)
      6. CURATIVE-PREVENTIVE HEALTH CARES
      Methodology
      6.1. Summary data
      6.1.1. Data of financing curative-preventive health cares by special tasks
      6.1.2. Distribution of the number of health care providers by types of services providers and special tasks, 2020
      6.1.3. Distribution of financing amount of curative-preventive health cares by types of services providers and special tasks, 2020
      6.2. Services and on-duty services of general practitioners
      6.2.1. Data of general practitioners' services
      6.2.2. Data of on-duty services
      6.2.3. Data of patient turnover of general practioners’ by sex, age-group and main ICD group, 2020
      6.3. District nurse service, mother, child and youth care
      6.3.1. Data of district nurse service
      6.3.2. Data of school doctors
      6.4. Dental care
      6.4.1. Summary data
      6.4.2. Number and distribution of cases, interventions and scores by type of service, 2020
      6.5. Outpatient specialty care
      6.5.1. Summary data
      6.5.1.1. Summary data of laboratory diagnostics
      6.5.1.2. Summary data of autonomous service providers and service providers integrated to hospitals, 2020
      6.5.2. Data by professions
      6.5.2.1. Number and distribution of annual working hours of those contracted on providing outpatient care by groups of professions and professions, 2020
      6.5.2.2. Number and distribution of cases, interventions, scores by groups of professions and professions, 2020
      6.5.2.3. Number and distribution of cases, interventions, scores by groups of professions and professions, 2020 (including data of care centers)
      6.6. CT, MRI (Computed Tomography, Magnetic Resonance Imaging)
      6.6.1. Main data of CT and MRI examinations
      6.7. Dialysis
      6.7.1. Main data of dialysis
      6.7.2. Data of dialysis by type of activity, 2020
      6.8. Home special nursing, home hospice care
      6.8.1. Main data of home special nursing
      6.8.2. Ten most frequent groups of diseases of home special nursing, 2020
      6.8.3. Main data of home hospice care
      6.9. Inpatient specialty care
      6.9.1. Turnover data of inpatient facilities
      6.9.1.1. Main data of inpatient facilities
      6.9.1.2. Main data of inpatient facilities by providers, 2019-2020
      6.9.1.3. Main data of inpatient facilities by groups of professions, 2020
      6.9.2. Financing of inpatient facilities
      6.9.2.1. Summary data
      6.9.2.2. The fifty most frequent homogenous groups of diseases in active inpatient specialty care, 2020
      6.9.2.2.1. The fifty homogenous groups of diseases with the greatest summarized weight number in active inpatient specialty care, 2020
      6.9.2.3. Specially financed inpatient specialty care
      6.9.2.3.1. Main data of selected transplantations of great value, financed by HIF
      6.9.2.3.2. Disposable instruments, implantations and surgical measures of great value falling under itemized accounts, 2020
      6.10. Patient transportation
      6.10.1. Main data of patient transportation
      6.11. Ambulance service
      6.11.1. Main data of ambulance service
      7. SPA SERVICES
      Methodology
      7.1. Expenses on the subsidy on spa services and other medical treatment (ledger data)
      7.2. Turnover, social insurance subsidy and indicators on spas (data of prescription turnover)
      7.2.1. Turnover and social insurance subsidy on spas
      7.2.2. Indicators of spa treatments by form of service, 2020
      8. REFUNDING OF TRAVEL EXPENSES
      Methodology
      8.1. Refunding of travel expenses
  V. DATA OF SOCIAL INSURANCE PAY-OFFICES, ADMINISTRATIVE DATA
      Methodology
      1. DATA OF SOCIAL INSURANCE PAY-OFFICES
      1.1. Summary data, at the end of the year
      2. ADMINISTRATIVE DATA
      2.1. Controls of employers operating and not operating pay-office
      2.2. Development of measures
  VI. INTERNATIONAL DATA
      Methodology
      1. Data of vital events
      1.1. Data of mortality
      1.1.1. Mortality rates standardized on the age distribution of OECD population (per hundred thousand population)
      1.1.1.1. Mortality rates standardized on the age distribution of OECD population, males (per hundred thousand population)
      1.1.1.2. Mortality rates standardized on the age distribution of OECD population, females (per hundred thousand population)
      1.1.2. Mortality rates standardized on the age distribution of OECD population (per hundred thousand population) by principal groups of causes of death
      1.2. Average life expectancy at birth
      1.2.1. Average life expectancy at birth, males
      1.2.2. Average life expectancy at birth, females
      2. Health care expenses
      2.1. Health care expenses, 2018
      2.2. Changes in total expenditure on curative-preventive health care per capita
      2.3. Development of relative value of per capita current public expense on health care in Hungary, 2018

NIHIFM --- Health, care Sector Finance, Performance Improvement and Analysis Department / Statistical and Data Analysis Division, November 2021