Open Data Inventory (ODIN)

Country Profile

63
ODIN SCORE
Hungary
50th GLOBAL RANK
OUT OF 193 		58 COVERAGE SCORE
OUT OF 100 		67 OPENNESS SCORE
OUT OF 100

Summary of Results

The Open Data Inventory (ODIN) measures how complete a country’s statistical offerings are and whether their data meet international standards of openness. Hungary ranks 50th in the Open Data Inventory 2022 with an overall score of 63. The overall score is a combination of a data coverage subscore of 58 and a data openness subscore of 67.

The following tables show the coverage and openness scores for each data category. For more detailed information, view the Coverage and Openness tabs.

Rankings

 Coverage Openness Overall
Global
OUT OF 193		 46th 54th 50th
Eastern Europe
OUT OF 10		 10th 7th 7th

Category Scores

Data Category Coverage Openness    Overall   
Population & vital statistics 80 70 75
Education facilities 40 70 55
Education outcomes 50 70 60
Health facilities 70 70 70
Health outcomes 40 70 55
Reproductive health 30 60 45
Food security & nutrition 38 70 56
Gender statistics 30 60 45
Crime & justice 40 70 55
Poverty & income 60 70 65
Social Statistics subscore 48 68 58
National accounts 50 70 61
Labor 70 70 70
Price indexes 38 80 61
Government finance 75 60 67
Money & banking 100 40 63
International trade 100 80 88
Balance of payments 100 70 81
Economic Statistics subscore 73 67 70
Agriculture and land use 50 70 60
Resource use 38 70 56
Energy 100 70 81
Pollution 75 70 72
Built environment 40 50 45
Environment subscore 57 66 62
All Categories 58 67 63
Last updated: March 9, 2023

Coverage

The Open Data Inventory (ODIN) assesses coverage based on five coverage elements described below. Each category receives a coverage score based on the amount of data available in that category. Average scores across all categories are shown in the chart below.

In general, coverage scores are based on the availability of indicator availabilities published, how many observations are available over the last 10 years, and if national and subnational data exist.

Indicators Not Published

Indicators are considered not published when no qualifying and disaggregated data are found. Not all indicators are required for full credit in every category.

22%
Number of Categories That Score 0

Categories that score 0 do not publish the minimum amount of data to receive a score. For most categories, the minimum amount of data is one indicator. There are 22 categories.

0
ODIN-Gender Data Index (OGDI) Score

OGDI is a sub-index of ODIN, which measures the availability and openness of 35 indicators that should be sex-disaggregated or apply only to women and girls. Click the score to learn more.

 57

Coverage Element Scores, 2022

Coverage Elements

Click to see a description of each coverage element. Scoring criteria for each can be found in the Methodology Guide on the page that corresponds to the coverage element. Element scores are given for each category. The chart above shows average scores across all categories.

Indicator availability
This coverage element measures how many indicators and disaggregations are published within a category. In each category, all other coverage elements cannot score higher than this element so that coverage scores are not inflated by only a few datasets.
Data Available the Last 5 Years
This coverage element measures how many of the last 5 years of data are available for indicators within each category.
Data Available the Last 10 Years
This coverage element measures how many of the last 10 years of data are available for indicators within each category.
First Administrative Level
This coverage element measures whether data are available at the first administrative level within each category. First administrative levels are defined by the ISO 3166-2 standard and adjusted for country practices. Not all categories or indicators are required to be published data at this level.
Second Administrative Level
This coverage element measures whether data are available at the second administrative level within each category. Second administrative levels are not defined and any further division of first administrative levels are accepted. Not all categories or indicators are required to be published at this level.

Openness

The Open Data Inventory (ODIN) assesses openness based on five coverage elements described below. Each category receives a coverage score based on the amount of data available in that category. Average scores across all categories are shown in the chart below.

In general, openness scores are based on the format and licensing of the datasets, the comprehensiveness of metadata, and what download options exist.

Data License/Terms of Use

The licensing or terms of use that govern the use and reuse of data assessed in ODIN are classified as Open, Some Restrictions, Not Open or Not Available (if no license is found). Below is licensing information for data from the national statistics office on their website and data portal used most in their assessment, if applicable.

NSO Website

Hungarian Central Statistical Office

Not Open

Openness Element Scores, 2022

Openness Elements

Click to see description of each openness element. Scoring criteria for each can be found in the Methodology Guide on the page that corresponds to the openness element. Element scores are given for each category. The chart above shows average scores across all categories.

Machine Readability
This openness element measures whether data are made available in machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.
Nonproprietary Format
This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files.
Metadata Availability
This openness element measures whether metadata are available for the published indicators. Metadata must be located in or near the data file or on a designated metadata section of the website. ODIN looks for three aspects of metadata: (1) definition of indicator; (2) date of upload; and (3) Source agency.
Download Options
This openness element measures whether download options are available. ODIN looks for three download options: (1) bulk download (at the indicator level), (2) API, and (3) user-select download (custom downloads). Options 2 and 3 are interchangeable for scoring purposes.
Data license/Terms of use
This openness element measures whether data are made available under an open license. Open licenses must allow the use, reuse, and sharing or adaption of data for commercial and noncommercial use without any obligation other than attribution, per the Open Definition. Licenses prohibiting commercial use or having two or more additional stipulations are classified as “Not Open”. Licenses with no more than one additional stipulation are classified as “Some Restrictions.” Licenses that do not explicitly state all allowed uses under the Open Definition and do not include restrictive language are also classified as “Some Restrictions.”

ODIN Indicators

The Open Data Inventory (ODIN) 2022/23 assesses data for 65 representative indicators in 22 data categories. The ODIN indicators are not meant to be a comprehensive list of all indicators produced by a country, but rather an indicative sample of the fundamental types of data produced by countries.

The table below shows a list of all ODIN indicators, whether qualifying data were found, and information about the coverage and openness criteria for each dataset. To qualify, a dataset must be published on the NSO website or an official government website linked from the NSO website. It must show national level data, have one of the required categorical disaggregations (if applicable), and present data from the last 10 years.

Not all indicators are required for full credit. More information about this can be found in our Methodology Guide.

ODIN 2022 Indicator List
(1.1) Population data Data available
Population & vital statistics
Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, 5-Year Age Groups
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - Admin 1, Admin 2, National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Select the relevant disaggregation (sex or age groups) as rows/columns + geographic area to see Admin 1 and Admin 2 levels
Hungarian Central Statistical Office Select the relevant disaggregation (sex or age groups) as rows/columns + geographic area to see Admin 1 and Admin 2 levels
(1.2) Birth rate Data available
Population & vital statistics
Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, Marital Status
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, Admin 2, National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office The URL opens relevant indicator > choose the desired disaggregation as rows/columns + Total Mother's actual place of residence to view admin1 and admin 2 level data
(1.3) Death rate Data available
Population & vital statistics
Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018,
Levels - Admin 1, Admin 2, National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Select "number of deaths (cases)" as the indicator + "period of time" (years) and "sex" as the row/column + "Actual place of residence of the deceased" to see admin 1 and admin 2 level data.
(2.1) Number of schools or classrooms Data available
Education facilities
Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Main data on initial education, Institutes for initial education (2016-2019) > select number of school-site as measure of interest, then select type of school-site as a row, add period of time as a column, add geographic area as a row to generate table.
Hungarian Central Statistical Office Main data on initial education, Institutes for initial education (2005 - 2015) > select number of school-site as measure of interest, then select type of school-site as a row, add period of time as a column, add geographic area as a row to generate table.
Hungarian Central Statistical Office Main data on tertiary education, Institutes for tertiary education (2005 -2019) > select Number of educational institutions, period of time as a column, and total geographic area as rows to generate table.
(2.2) Number of teaching staff Data available
Education facilities
Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Main data on initial education, Institutes for initial education (2005 - 2015) > select number of teachers and number of female teachers and add as rows (or add "accounts" to add chosen measures of interest), add period of time as column, and add geographic area as row to generate table.
Hungarian Central Statistical Office Main data on tertiary education, Institutes for tertiary education (2005 - 2020) > select number of teachers and number of female teachers as measures of interest and add as rows (or add "accounts" to add chosen measures of interest), add period of time as column, and add geographic area as row to generate table.
Hungarian Central Statistical Office Main data on initial education, Institutes for initial education (2016-2019) > select number of teachers and number of female teachers and add as rows (or add "accounts" to add chosen measures of interest), add period of time as column, and add geographic area as row to generate table.
(2.3) Education expenditures Data available
Education facilities
Dataset Coverage Dataset Openness
Education facilities Disaggregation - Expenditure Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Budget Reports for local government and for central subsystem 23.1.1.2. Expenditure on education of the budgetary institutions [at current prices, million HUF]
(3.1) Enrollment rate Data available (1 of 2 datasets)
Education outcomes
Dataset Coverage Dataset Openness
Education outcomes Disaggregation - Sex, School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - PDF (np); CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Participants in initial education, Institutes for initial education (2005 - 2015) > select number of pupils and students and number of girls pupils as measures of interest and add them (or "Accounts") as rows, add period of time as column, add total type of school-site as a row, and geographic area as arow to generate table.
Hungarian Central Statistical Office Participants in initial education, Institutes for initial education (2016 - 2019) > select number of pupils and students and number of girls pupils as measures of interest and add them (or "Accounts") as rows, add period of time as column, add total type of school-site as a row, and geographic area as arow to generate table.
Hungarian Central Statistical Office Participants in tertiary education (by seat of institution Institutes for tertiary education (2005 - 2020) > select number of students and number of female students in tertiary education as measures of interest and add them (or"Accounts") as rows, add geographic area as row, and period of time as column to generate table.
(3.1) Enrollment rate Data available (2 of 2 datasets)
Education outcomes
Dataset Coverage Dataset Openness
Education outcomes Disaggregation - Age
Years - 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - PDF (np); CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Number of pupils and students by age, Institutes for initial education (2016-2019) > select number of pupils and students as measure of interest and add as a row (or "Accounts"), add Age (Initial Education) as row, and period of time as column tog generate table.
Hungarian Central Statistical Office Number of pupils and students by age, Institutes for initial education (2014, 2015) > select number of pupils and students as measure of interest and add as a row (or "Accounts"), add Age (Initial Education) as row, and period of time as column tog generate table.
(3.2) Completion or graduation rate Data available
Education outcomes
Dataset Coverage Dataset Openness
Education outcomes Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - PDF (np); CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Graduates in initial education (2016 - 2019) > select "number of pupils completed 8th grade" and "number of students passed final (Certificate of Maturity) examination" as measures of interest and add them (or "Accounts") as rows, add period of time as column, and add geographic area as row.
Hungarian Central Statistical Office Graduates in initial education (2005 - 2015) > select "number of pupils completed 8th grade" and "number of students passed final (Certificate of Maturity) examination" as measures of interest and add them (or "Accounts") as rows, add period of time as column, and add geographic area as row.
Hungarian Central Statistical Office Students, graduates in tertiary education (by seat of institution) Institutes for tertiary education (2005 - 2020) > select number of student acquired a degree as measure of interest and add as row (or add "Accounts"), add geographic area as a row, and add period of time as a column to generate table.
(3.3) Competency exam results Data available
Education outcomes
Dataset Coverage Dataset Openness
Education outcomes Disaggregation - School Stage
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, Admin 2, National Level,
Metadata - Complete (Source, Date, Definition)
 Format - PDF (np); CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Graduates in initial education (2005 - 2015) > select number of students who passed vocational exam in vocational schools and number of students who passed vocational exam in secondary vocational schools as measures of interest and add them (or "Accounts") as rows, add geographic region as row, and period of time as column to generate table.
Hungarian Central Statistical Office Graduates in initial education (2016 - 2019) > select number of students passed vocational exam as measure of interest and add (or "Accounts") as a row, add geographic region as row, and period of time as column to generate table.
(4.1) Number of health facilities Data available
Health facilities
Dataset Coverage Dataset Openness
Health facilities Disaggregation - Facility Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - No download options
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
National Ambulance Service URL leads to relevant table " 4.1.1.21. Pharmacies"
Ministry of Human Capacities URL leads to relevant table "4.1.1.20. Ambulance tasks and patient transport"
National Korányi Institute of Pulmonology URL leads to relevant table "4.1.1.14. Pulmonary screenings and pulmonary care"
(4.2) Number of beds or data on health care staff Data available
Health facilities
Dataset Coverage Dataset Openness
Health facilities Disaggregation - Staff Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Number of General Practitioners and Family Paediatricians, General practitioners, family paediatricians > select "number of general practitioners" and "number of family paediatricians" as measures of interest and add them (or "Accounts") as row, add geographic area as row, and period of time as column to generate table.
(4.3) Health expenditures Data available
Health facilities
Dataset Coverage Dataset Openness
Health facilities Disaggregation - Expenditure Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "4.1.1.2. Health expenditure by financing schemes, as % of GDP, health investment expenditure"
(5.1) Immunization rate Data Not Available
Health outcomes
(5.2) Diseases prevalence Data available
Health outcomes
Dataset Coverage Dataset Openness
Health outcomes Disaggregation - Age, Sex, Disease Type
Years - 2013, 2015, 2017, 2019
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Main diseases of adults (Activity of general practitioners) > select "Main diseases of 19 year old and older persons registered at the general practitioners" as measure of interest and add (or add "Accounts") as a row, add diseases and geographic area as rows, add sex, age-group, and period of time as columns to generate table.
Hungarian Central Statistical Office Main diseases of children (Activity of general practitioners, family paediatricians) > select "Main diseases of 0-18 year old persons registered at the general practitioners and family paediatricians" as measure of interest and add (or add "Accounts") as a row, add diseases and geographic area as rows, add sex, age-group, and period of time as columns to generate table.
(6.1) Maternal mortality rate Data available
Reproductive health
Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018
Levels - National Level,
Metadata - Incomplete (Source)
 Format - CSV (r, np); HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to "GOAL 3: ENSURE A HEALTHY LIFE AND PROMOTE WELL-BEING FOR ALL AGES" > first chart "szazezer élveszületésre juto anyai halalozas" > download data
(6.2) Infant mortality rate or neonatal mortality rate Data Not Available
Reproductive health
(6.3) Under-5 mortality rate Data Not Available
Reproductive health
(6.4) Fertility rate Data available
Reproductive health
Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "22.1.1.1. Main indicators of population and vital events"
(6.5) Contraceptive prevalence rate Data Not Available
Reproductive health
(6.6) Adolescent birth rate Data available
Reproductive health
Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "22.1.1.8. Live births per thousand women of the right age"
(7.1) Prevalence of undernourishment Data Not Available
Food security & nutrition
(7.2) Prevalence of moderate or severe food insecurity Data Not Available
Food security & nutrition
(7.3) Prevalence of obesity Data available
Food security & nutrition
Dataset Coverage Dataset Openness
Food security & nutrition Disaggregation - Sex, Age
Years - 2014, 2019
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "4.1.1.39. Distribution of population by nutrition based on body mass index (BMI) [%]"
(7.4) Prevalence of stunting Data Not Available
Food security & nutrition
(7.5) Prevalence of wasting Data available
Food security & nutrition
Dataset Coverage Dataset Openness
Food security & nutrition Disaggregation - Sex, Age
Years - 2014, 2019
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office, URL leads to relevant table "4.1.1.39. Distribution of population by nutrition based on body mass index (BMI) [%]",
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Data Not Available
Gender statistics
(8.2) Proportion of women in government Data Not Available
Gender statistics
(8.3) Data on child marriages for girls Data available
Gender statistics
Dataset Coverage Dataset Openness
Gender statistics Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level,
Metadata - Incomplete (Definition)
 Format - CSV (r, np); HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Goal 5: Eliminate gender inequalities and ensure equality for women 1st chart under "The proportion of young married women is low" title
(9.1) Homicide rate Data Not Available
Crime & justice
(9.2) Crime rate Data available
Crime & justice
Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Crime Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Leads to the relevant dataset > 11.1.2.1. Registered crimes by county and region
(9.3) Data on prison population Data available
Crime & justice
Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Sex, Sentencing Status
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Leads to the relevant dataset > 11.1.1.7. Prison inmates by type of detention and sex [person]
(10.1) Poverty rate Data available
Poverty & income
Dataset Coverage Dataset Openness
Poverty & income Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL links to relevant table "5.1.1.1. Main indicators of poverty or social exclusion, by reference year"
(10.2) Distribution of income by deciles or Gini coefficient Data available
Poverty & income
Dataset Coverage Dataset Openness
Poverty & income Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL links to relevant table "Income inequality by the Gini coefficient and the S80/S20 ratio"
(11.1) Gross domestic product (production approach) Data available (1 of 2 datasets)
National accounts
Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office http://www.ksh.hu/?lang=en > Data,Publications > Dissemination Database > Economic statistics > Economic Accounts > Production of GDP, Annual > Gross Value Added (Current Price) Total economy (2000 - 2018)
(11.1) Gross domestic product (production approach) Data available (2 of 2 datasets)
National accounts
Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "21.2.1.3. The production of GDP at current prices by industries (quarterly data)"
(11.2) Gross domestic product (expenditure approach) Data available
National accounts
Dataset Coverage Dataset Openness
National accounts Disaggregation - Expenditure Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset "The final use of Gross Domestic Product Total economy" > select all measures as rows and period of time as columns to generate table
(11.3) Gross domestic product (income approach) Data available
National accounts
Dataset Coverage Dataset Openness
National accounts Disaggregation - Income Components
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018,
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset "Generation of Income Total economy" > select all relevant income accounts as rows and period of time as columns to generate table
(12.1) Employment rate Data available (1 of 2 datasets)
Labor
Dataset Coverage Dataset Openness
Labor Disaggregation - Age
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Labour Force Survey, HCSO URL directly opens to the relevant indicator "20.1.1.7. Number of employed persons by age-group and sex [thousand persons]"
(12.1) Employment rate Data available (2 of 2 datasets)
Labor
Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - PDF (np); CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Select Employment rate (%) > select gender + period of time + geographic region as rows/columns
(12.2) Employment distribution Data available (1 of 2 datasets)
Labor
Dataset Coverage Dataset Openness
Labor Disaggregation - Occupation, Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Choose "Employed persons by sex [thousands people]" > Gender + Major Occupational groups as rows/columns and relevant period of time > Display
(12.2) Employment distribution Data available (2 of 2 datasets)
Labor
Dataset Coverage Dataset Openness
Labor Disaggregation - Industry, Sex
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Employed Persons by Sex (NACE Rev.2, HSCO 08) Choose "Employed persons by sex [thousands people]" > Gender + Total Economic Activities as rows/columns and relevant period of time > Display
(12.3) Unemployment rate Data available
Labor
Dataset Coverage Dataset Openness
Labor Disaggregation - Sex, Age
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Labour Force Survey, HCSO URL leads to intended table > 20.1.1.26 Unemployment rate by age group and sex [%]
(13.1) Consumer price index Data available
Price indexes
Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset > select "Consumer Price Index, previous year = 100,0 (per cent)," select accounts (i.e. CPI) as column and period of time as row to generate table
(13.2) Producers price index Data available
Price indexes
Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset: Monthly price indices of industry Domestic produced industrial products and services > select relevant PPI index as columns and period of time as rows to generate table
(14.1) Actual revenues Data available
Government finance
Dataset Coverage Dataset Openness
Government finance Disaggregation - Revenue Source
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Incomplete (Source)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - No download options
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "21.1.1.21. Revenues from taxes and social security contributions - Central government [current prices, HUF million]"
(14.2) Actual expenditures Data available
Government finance
Dataset Coverage Dataset Openness
Government finance Disaggregation - Functional Classification
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "21.1.1.18. Final consumption expenditure of the general government sector by COFOG [million HUF]"
(15.1) Money supply Data available
Money & banking
Dataset Coverage Dataset Openness
Money & banking Disaggregation - Money Aggregates
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Incomplete (Date)
 Format - XLS (r);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Hungarian National Bank (MNB) URL downloads "BALANCE SHEETS OF MONETARY FINANCIAL INSTITUIONS AND QUANTITIES OF MONEY" > Select Table 4.1. > Table 4.1 Monetary aggregates (levels at the end of the period, not seasonally adjusted)
(15.2) Interest rates Data available
Money & banking
Dataset Coverage Dataset Openness
Money & banking Disaggregation - Rate Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level
Metadata - Incomplete (Date)
 Format - XLS (r)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Magyzar Nemzeity Bank (MNB)/Hungarian National Bank URL downloads "Time Series of forint refinancing, deposit, and loan interest rates currently announced by the Magyar Nemzeti Bank from 1 January 2002," which provides relevant information
(16.1) Merchandise exports Data available
International trade
Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Select "Value at frontier parity in euro (EUR)" > Add "Chapters of the SITC" [product categories] + "Types of transactions" [to show exports and imports breakdown] to rows/columns along with relevant period of time
(16.2) Merchandise imports Data available
International trade
Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Select "Value at frontier parity in euro (EUR)" > Add "Chapters of the SITC" [product categories] + "Types of transactions" [to show exports and imports breakdown] to rows/columns along with relevant period of time
(18.1) Data on land use or land cover Data available (1 of 3 datasets)
Agriculture and land use
Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Environmental Zones
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset > Land use, 31 May Land area of Hungary > select size of utilised land area as measure of interest and add as row, add Total cultivation methods as a row (holds environmental zones), add period of time as column, and geographic area as row to generate table.
(18.1) Data on land use or land cover Data available (2 of 3 datasets)
Agriculture and land use
Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Irrigation Status
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset > Data on irrigated land area Holdings applying irrigation > select Irrigated Land Area (hactare) as measure of interest and add as row, add period of time as column and geographic area as row to generate table.
(18.1) Data on land use or land cover Data available (3 of 3 datasets)
Agriculture and land use
Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Crop Type
Years - 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - Admin 1, National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant dataset > Corp production Agricultural holding engaged in agricultural activity > select Size of harvested area (hactre) and add as a row, add period of time as column, add fruit species as row, and geographic region as row to generate table.
(18.2) Data on protected lands Data available
Agriculture and land use
Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "15.1.1.16. Protected natural areas"
(18.3) Commodity production Data available
Agriculture and land use
Dataset Coverage Dataset Openness
Agriculture and land use Disaggregation - Commodity Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Production of main field crops, vegetables, grass and reed (2009- ), Holdings engaged in production of crops or vegetables on arable land > select total harvested production (tons) as measure of interest and add as row, add crops and vegetables on arable land as row, and add period of time as column to generate table.
Hungarian Central Statistical Office URL leads to relevant table "19.1.1.32. Production of animals for slaughter [ton]"
(19.1) Data on fishery harvests Data Not Available
Resource use
(19.2) Data on timber harvests or deforestation Data available
Resource use
Dataset Coverage Dataset Openness
Resource use Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table 15.1.1.8. Harvesting of wood on forest land for silvicultural purposes, by species group [thousand m³] >
(19.3) Data on mining or extractive activities Data available
Resource use
Dataset Coverage Dataset Openness
Resource use Disaggregation - Raw material type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "13.1.1.2. Long time series of the volume index of industrial production and of production of some significant industrial products"
(19.4) Water consumption Data Not Available
Resource use
(20.1) Energy consumption Data available (1 of 2 datasets)
Energy
Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity
Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - PDF (np); CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office Choose "Primary Consumption of Energy Resource (petajoule)" > Select "Energy Resource" as the column > Display table
(20.1) Energy consumption Data available (2 of 2 datasets)
Energy
Dataset Coverage Dataset Openness
Energy Disaggregation - Sector
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Energy and Public Utility Regulatory Authority URL opens relevant dataset > 6.1.1.6. Final energy consumption [petajoules]
(20.2) Energy supply Data available
Energy
Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity
Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - User Selected, Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Energy and Public Utility Regulatory Authority. URL leads to relevant dataset > 6.1.1.3. Production of primary energy in calorific values [petajoules]*
(21.1) Greenhouse gas emissions Data available
Pollution
Dataset Coverage Dataset Openness
Pollution Disaggregation - Gas Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Meteorological Service URL links to relevant dataset > 15.1.1.18. Emissions of air pollutants and greenhouse gases [thousand tons]
(21.2) Emissions of air or water pollutants Data available
Pollution
Dataset Coverage Dataset Openness
Pollution Disaggregation - Pollutant Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Meteorological Service URL links to relevant dataset > 15.1.1.18. Emissions of air pollutants and greenhouse gases [thousand tons] > Acidifying gases
(22.1) Proportion of households with access to water Data Not Available
Built environment
(22.2) Proportion of households with access to sanitation Data Not Available
Built environment
(22.3) Number of rooms or bedrooms Data available
Built environment
Dataset Coverage Dataset Openness
Built environment Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - CSV (r, np); HTML (np); XLSX (r, np)
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office URL leads to relevant table "18.1.1.2. Dwelling stock, inhabitants density within dwellings, 1 January"
(22.4) Access to electricity Data available
Built environment
Dataset Coverage Dataset Openness
Built environment Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
 Format - XLS (r); HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Hungarian Central Statistical Office https://www.ksh.hu/stadat_eng?lang=en&theme=kor > 15.1.1.44. Electricity supply
(22.5) Data on housing construction materials Data available
Built environment
Dataset Coverage Dataset Openness
Built environment Disaggregation - Material Type
Years - 2016
Levels - Admin 1, National Level,
Metadata - Incomplete (Date)
 Format - XLS (r);
Download Options - Bulk Download,
Terms of Use - Not Open
Terms of Use URL  URL
Source Navigation
Microcensus 2016- 7. Housing Conditions Tab 2.1.2 > "Falazat" details the construction materials used

Recommendations

Every country can improve their open data and ODIN scores can help identify gaps where improvements should be focused. The following recommendations may involve not only the national statistics office, but the entire national statistical system.

If you would like to learn more about how to implement these recommendations, please visit our Technical Assistance page to schedule a meeting

1) Address data gaps

14 ODIN indicators were not published with any of the required disaggregation. ODIN indicators are only a representative sample of the types of data a country should publish and not all indicators below may be relevant to your country. Nonetheless, those that are should be published. Below is a table of the ODIN indicators where no disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website. See the Methodology Guide for definitions of each indicator.

Missing ODIN Indicator Required Disaggregation
(5.1) Immunization rate Age, Sex
(6.2) Infant mortality rate or neonatal mortality rate Sex
(6.3) Under-5 mortality rate Sex
(6.5) Contraceptive prevalence rate None
(7.1) Prevalence of undernourishment Sex
(7.2) Prevalence of moderate or severe food insecurity Sex
(7.4) Prevalence of stunting Sex, Age
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Age, Disability Status, Relationship To Perpetrator, Type of violence
(8.2) Proportion of women in government None
(9.1) Homicide rate Sex Of Victim, Age Of Victim, Sex Of Perpetrator, Age Of Perpetrator, Victim/Perpetrator Relationship
(19.1) Data on fishery harvests None
(19.4) Water consumption Sector
(22.1) Proportion of households with access to water Water Supply Type
(22.2) Proportion of households with access to sanitation Sanitation Facility Type

2) Publish more sex-disaggregated data

3 ODIN indicators were not published with sex-disaggregation. Sex-disaggregated data are important to reflect the realities of men and women in various policy areas and narrow gender inequalities. Below is a table of the ODIN indicators where no sex-disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website.

ODIN Indicator with no sex-disaggregation Published
(2.2) Number of teaching staff
(3.2) Completion or graduation rate
(9.2) Crime rate

3) Adopt an open data license for the NSO website

The data license or terms of use for data on the website includes restrictive clauses that are not consistent with open data standards. If the license prohibits commercial use of data, requires permission for any type of use, or prohibits vague categories of use (such as “misleading use”), these clauses should be removed. Below is a table with the name of the NSO and URL of the data license or terms of use for data that did not meet international openness standards. Please contact ODW if you would like to discuss further.

NSO Name Data License/Terms of Use
Hungarian Central Statistical Office http://www.ksh.hu/copyright_eng?lang=en

4) Publish more data in nonproprietary formats

3 ODIN indicators were not published in machine-readable formats for all years available. Nonproprietary formats allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. By definition, proprietary formats restrict either the ability to use the information or the ability to share the information. The most common nonproprietary formats used by statistics offices are PDF, XLSX, and CSV. Below is a table of the ODIN indicators for which data in a nonproprietary format could not be found. File formats with a (r) indicate that the file is machine readable. File formats with a (np) indicate that the file is nonproprietary.

ODIN Indicator not published in proprietary formats Dataset URL File Format
(15.1) Money supply Hungarian National Bank (MNB) XLS (r);
(15.2) Interest rates Magyzar Nemzeity Bank (MNB)/Hungarian National Bank XLS (r)
(22.5) Data on housing construction materials Microcensus 2016- 7. Housing Conditions XLS (r);

5) Publish more comprehensive metadata

6 ODIN indicators were with complete metadata. For all years available. Many metadata standards can be used to meet ODIN criteria for complete metadata. Metadata must include the following three components: 1) Source agency of data, 2) Definition of indicator, and 3) Date that data was uploaded online. Datasets should be published with ample metadata to “aid both discoverability and usability of the data,” according to the Open Data Handbook. Various metadata standards exist that are often used for statistical data, including Dublin Core, Data Catalogue Vocabulary (DCAT), and RDF Data Cube Vocabulary. Below is a table of the ODIN indicators for which data with incomplete metadata was found.

ODIN Indicator with Incomplete Metadata Dataset URL Metadata Components Not Found
(6.1) Maternal mortality rate Hungarian Central Statistical Office Date, Definition
(8.3) Data on child marriages for girls Goal 5: Eliminate gender inequalities and ensure equality for women Source, Date
(14.1) Actual revenues Hungarian Central Statistical Office Date, Definition
(15.1) Money supply Hungarian National Bank (MNB) Source, Definition
(15.2) Interest rates Magyzar Nemzeity Bank (MNB)/Hungarian National Bank Source, Definition
(22.5) Data on housing construction materials Microcensus 2016- 7. Housing Conditions Source, Definition

6) Publish more historical data

4 ODIN indicators were available in datasets that did not include data points for 6 of the last 10 years. It is important to publish historical data, if they exist, and not only recent data. Below is a table of the ODIN indicators for which data for less than 6 of the last 10 years was published.

ODIN Indicator Disaggregation Found URL Years Found
(5.2) Diseases prevalence Age, Sex, Disease Type Hungarian Central Statistical Office, Hungarian Central Statistical Office 2013,2015,2017,2019
(7.3) Prevalence of obesity Sex, Age Hungarian Central Statistical Office 2014,2019
(7.5) Prevalence of wasting Sex, Age Hungarian Central Statistical Office, 2014,2019
(22.5) Data on housing construction materials Material Type Microcensus 2016- 7. Housing Conditions 2016

7) Publish more recent data

7 ODIN indicators were available in datasets that did not include data points for 3 of the last 5 years. It is important to publish recent data, if they exist, and not only time series data. Below is a table of the ODIN indicators where data for less than 3 of the last 5 years was published.

ODIN Indicator Disaggregation Found URL Years Found
(1.3) Death rate Sex Hungarian Central Statistical Office 2012,2013,2014,2015,2016,2017,2018
(5.2) Diseases prevalence Age, Sex, Disease Type Hungarian Central Statistical Office, Hungarian Central Statistical Office 2013,2015,2017,2019
(6.1) Maternal mortality rate None Hungarian Central Statistical Office 2012,2013,2014,2015,2016,2017,2018
(7.3) Prevalence of obesity Sex, Age Admin 1* data is available but not disaggregated by sex or age-group 2014,2019
(7.5) Prevalence of wasting Sex, Age Admin 1* data is available but not disaggregated by sex or age-group 2014,2019
(11.3) Gross domestic product (income approach) Income Components Hungarian Central Statistical Office 2012,2013,2014,2015,2016,2017,2018
(22.5) Data on housing construction materials Material Type Directions from NSO website > Data, publications > Publications > Housing, communal care > Microcensus 2016, 7. Housing Conditions > Tables (https://www.ksh.hu/mikrocenzus2016/kotet_7_lakaskorulmenyek) 2016

8) Publish more subnational level data

28 ODIN indicators were available in datasets that did not include data at the subnational geographic level. Disaggregation of indicators at the subnational level is one of the key elements to effectively monitor development of a country and ensure certain groups of people are not left behind. Below is a table of the ODIN indicators where data was only made available at the national level.

ODIN Indicator Disaggregation Found URL
(2.3) Education expenditures School Stage, Expenditure Categories Budget Reports for local government and for central subsystem
(4.1) Number of health facilities Facility Type National Ambulance Service , Ministry of Human Capacities, National Korányi Institute of Pulmonology
(4.3) Health expenditures Expenditure Categories Hungarian Central Statistical Office
(6.1) Maternal mortality rate None Hungarian Central Statistical Office
(6.4) Fertility rate None Hungarian Central Statistical Office
(6.6) Adolescent birth rate None Hungarian Central Statistical Office
(7.3) Prevalence of obesity Sex, Age Hungarian Central Statistical Office
(7.5) Prevalence of wasting Sex, Age Hungarian Central Statistical Office,
(8.3) Data on child marriages for girls None Goal 5: Eliminate gender inequalities and ensure equality for women
(9.3) Data on prison population Age, Sex, Sentencing Status Hungarian Central Statistical Office
(10.1) Poverty rate None Hungarian Central Statistical Office
(10.2) Distribution of income by deciles or Gini coefficient None Hungarian Central Statistical Office
(11.2) Gross domestic product (expenditure approach) Expenditure Categories Hungarian Central Statistical Office
(11.3) Gross domestic product (income approach) Income Components Hungarian Central Statistical Office
(12.2) Employment distribution Industry, Occupation, Sex Hungarian Central Statistical Office, Employed Persons by Sex (NACE Rev.2, HSCO 08)
(12.3) Unemployment rate Sex, Age Labour Force Survey, HCSO
(13.1) Consumer price index None Hungarian Central Statistical Office
(13.2) Producers price index None Hungarian Central Statistical Office
(14.1) Actual revenues Revenue Source Hungarian Central Statistical Office
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification Hungarian Central Statistical Office
(18.2) Data on protected lands None Hungarian Central Statistical Office
(18.3) Commodity production Commodity Type Hungarian Central Statistical Office, Hungarian Central Statistical Office
(19.2) Data on timber harvests or deforestation None Hungarian Central Statistical Office
(19.3) Data on mining or extractive activities Raw material type Hungarian Central Statistical Office
(21.1) Greenhouse gas emissions Gas Type Hungarian Meteorological Service
(21.2) Emissions of air or water pollutants Pollutant Type Hungarian Meteorological Service
(22.3) Number of rooms or bedrooms None Hungarian Central Statistical Office
(22.4) Access to electricity None Hungarian Central Statistical Office

Country Context

To understand a country’s commitment to open data, it is important to look at ODIN scores in context. The information below includes assessments of the country’s statistical capacity, links to relevant laws, and comparative measures of the country’s performance on other measures of data coverage, openness, and government transparency.

Statistical Performance Indicators

The World Bank’s Statistical Performance Indicators measure the capacity and maturity of national statistical systems by assessing the use of data, the quality of services, the coverage of topics, the sources of information, and the infrastructure and availability of resources. The goal is to improve development outcomes and track progress toward the Sustainable Development Goals.

Overall Score
85%
Data Use Score
100%
Data Services Score
87%
Data Products Score
69%
Data Sources Score
68%
Data Infrastructure Score
100%

Global Data Barometer

The Global Data Barometer is a project of the Data for Development Network that aims to measure the state of data in relation to urgent societal issues. It seeks to appraise data availability, governance, capability and use around the world to help shape data infrastructures that limit risks and harms in climate action, company information, health and COVID-19, land, political integrity, public finance and public procurement.

Overall Score
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Governance Score
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Capability Score
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Availability Score
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Use and Impact Score
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Legal Framework

To be sustainable, open data initiatives must be supported by a strong legal framework. Below are some of the more common national laws that should work in coordination with open data policies and data licenses.

Statistical Law Act CLV of 2016 on Official Statistics (link)
Right to Information Law Act CXII of 2011 On Informational Self-determination and Freedom of Information (link)
Copyright Law Act No. XXXII of 1995 on Patent Attorneys (consolidated text of January 1, 2018) (link)

Data Commitments

National Data Strategy

National data strategies or National Strategies for the Development of Statistics (NSDS) provide a country with a strategy for developing statistical capacity across the entire national statistical system (NSS). It presents the statistics office’s priorities for the next 5-10 years.

Hungary does not have a national data strategy.

IMF Standards for Data Dissemination

Data dissemination standards enhance the availability of timely and comprehensive statistics, which contributes to sound macroeconomic policies and the efficient functioning of financial markets.

Hungary is an SDDS+ Subscriber.

Open Data Charter (ODC)

The ODC is a collaboration between over 100 governments and organisations working to open up data based on a shared set of seven principles.

Hungary has not adopted the charter.

Open Government Partnership (OGP)

OGP is a multilateral initiative that aims to secure concrete commitments from national and subnational governments to promote open government, empower citizens, fight corruption, and harness new technologies to strengthen governance.

Hungary is not a participant.

Index Comparison

Click on the index name on the vertical axis to view the country data from the managing organization’s website.

All scores have been converted to a 100 point scale.