Others titles
- OECD Countries And Partners Perceived Health Status Statistics
- OECD Perceived Health Status By Demographic Characteristics
Keywords
- OECD Health Statistics
- OECD Health Indicators
- OECD Countries
- WHO Health Interview Surveys
- Perceived Health Status
- Perceived Health By Age
- Perceived Health By Gender
- Perceived Health By Socioeconomic
- Perceived Health By Education Level
- Perceived Health By Income Level
OECD Perceived Health Status Statistics

This dataset contains perceived health status statistics for countries members of OECD (The Organization for Economic Co-operation and Development) and countries in accession negotiations with OECD. The perceived health status data cover periods from 1980 to 2015.
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Description
The dataset is provided by OECD (The Organization for Economic Co-operation and Development) whose mission is to promote policies that will improve the economic and social well-being of people around the world. OECD’s work is based on continued monitoring of events in member countries as well as outside OECD area, and includes regular projections of short and medium-term economic developments. The OECD Secretariat collects and analyses data, after which committees discuss policy regarding this information, the Council makes decisions, and then governments implement recommendations. The OECD Health Datasets offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of diverse health systems. The Eurostat database is the main data source for all European countries. Time series are also completed with national data for selected years.
There is not yet full standardization of the measurement of perceived health status across OECD countries. In Europe, a standard health interview survey instrument has been recommended to measure this variable. The recommendation is described in the publication: “Health Interview Surveys: Towards International Harmonization of Methods and Instruments,” World Health Organization (WHO) Regional Office for Europe, 1996. The question for perceived health status is “How is your health in general?” and answer options are: very good, good, fair, bad or very bad. In dataset it is specified where there is a difference from methodology. At the same time the primary data sources for perceived health status by income level The data sources are generally health or household surveys. Starting from this the perceived health status is the percentage (crude rate) of population of 15 years old or older who report their health to be good or very good (excellent, or all positive response categories), fair (not good, not bad), bad or very bad (all negative response categories). For the perceived health status according to age and gender or according to socioeconomic characteristics (education or income level) is the percentage (crude rate) of population of 15 years old or older who report their health to be good or very good (excellent, or all positive response categories).
Education level is expressed by the highest completed level of education, defined according to the latest International Standard Classification of Education, ISCED-2011. Low education means: early childhood education (ISCED 0), primary education (ISCED 1) and lower secondary education (ISCED 2). The medium education level comprises upper secondary education (ISCED 3), post-secondary non-tertiary education (ISCED 4). High education means: short-cycle tertiary education (ISCED 5), bachelor’s or equivalent level (ISCED 6), master’s or equivalent level (ISCED 7), doctoral or equivalent level (ISCED 8). If the income primary data comes from health survey the individuals’ income will be used to assign them to income quintiles. If data come from household surveys and relate to household income equivalisation of income for persons within households should take place. A common method divides household income by the square root of the household size.
Breaks in the time-related continuity of data on which the calculated indicators values are based are specified in the content of the dataset.
About this Dataset
Data Info
Date Created | 2017-06-30 |
---|---|
Last Modified | 2017-06-30 |
Version | 2017-06-30 |
Update Frequency |
Irregular |
Temporal Coverage |
1980-2015 |
Spatial Coverage |
OECD Members and Partners Countries |
Source | John Snow Labs; The Organization for Economic Co-operation and Development; |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | OECD Health Statistics, OECD Health Indicators, OECD Countries, WHO Health Interview Surveys, Perceived Health Status, Perceived Health By Age, Perceived Health By Gender, Perceived Health By Socioeconomic, Perceived Health By Education Level, Perceived Health By Income Level |
Other Titles | OECD Countries And Partners Perceived Health Status Statistics, OECD Perceived Health Status By Demographic Characteristics |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
Year | The year corresponding to the indicator value calculated by gender, age and socioeconomic characteristics | date | required : 1 |
Country | The name of the country member of OECD or in accession negotiations with OECD | string | required : 1 |
Country_Abbreviation | The abbreviated name of the country member of OECD or in accession negotiations with OECD | string | required : 1 |
Country_Status | Specifies if the country is member of OECD or has an accession agreement with OECD | string | enum : Array ( [0] => OECD member [1] => Accession agreement ) required : 1 |
Indicator | Specifies whether the perceived health status is very good/good or fair or bad/very bad | string | enum : Array ( [0] => Good or very good health [1] => Bad or very bad health [2] => Fair health (not good [3] => not bad) ) required : 1 |
Indicator_Code | The original OECD code used for the indicator, gender, age and socioeconomic characteristics | string | required : 1 |
Gender | The gender of the population group for which the value of the indicator is calculated | string | enum : Array ( [0] => Males [1] => Females [2] => Both genders ) required : 1 |
Age | The age of the population group for the estimated value of indicator is calculated | string | enum : Array ( [0] => Age 15 or older [1] => Age 15-24 [2] => Age 25-44 [3] => Age 45-64 [4] => Age 65 or older ) required : 1 |
Education_Or_Income_Level | Specifies the population group for which the value of indicator | string | required : 1 |
Percent_Of_Population | The indicator value for the specified age, gender and socioeconomic characteristics | number | level : Ratiorequired : 1 |
Is_Data_Time_Related_Breaks | Specifies if there are breaks in the time-related continuity of data | boolean | required : 1 |
Is_Difference_In_Methodology | Specifies whether the methodology used to collect the primary data was the one recommended by WHO | boolean | required : 1 |
Data Preview
Year | Country | Country Abbreviation | Country Status | Indicator | Indicator Code | Gender | Age | Education Or Income Level | Percent Of Population | Is Data Time Related Breaks | Is Difference In Methodology |
2015 | Austria | AUT | OECD member | Good or very good health | PRHSMGHE | Males | Age 15 or older | All education and income levels | 71.8 | False | False |
2015 | Austria | AUT | OECD member | Good or very good health | PRHSTGHE | Both genders | Age 15 or older | All education and income levels | 69.8 | False | False |
2015 | Austria | AUT | OECD member | Good or very good health | PRHSFGHE | Females | Age 15 or older | All education and income levels | 67.9 | False | False |
2015 | Austria | AUT | OECD member | Bad or very bad health | PRHSFBAH | Females | Age 15 or older | All education and income levels | 9.3 | False | False |
2015 | Austria | AUT | OECD member | Bad or very bad health | PRHSMBAH | Males | Age 15 or older | All education and income levels | 8.2 | False | False |
2015 | Austria | AUT | OECD member | Bad or very bad health | PRHSTBAH | Both genders | Age 15 or older | All education and income levels | 8.8 | False | False |
2015 | Austria | AUT | OECD member | Fair health (not good, not bad) | PRHSTFAH | Both genders | Age 15 or older | All education and income levels | 21.4 | False | False |
2015 | Austria | AUT | OECD member | Fair health (not good, not bad) | PRHSFFAH | Females | Age 15 or older | All education and income levels | 22.8 | False | False |
2015 | Austria | AUT | OECD member | Fair health (not good, not bad) | PRHSMFAH | Males | Age 15 or older | All education and income levels | 19.9 | False | False |
2015 | Austria | AUT | OECD member | Good or very good health | SRECMA56 | Males | Age 15 or older | High education (ISCED 5 to 8) | 80.1 | False | False |