Poland Open Data Inventory Profile

Country Profile

ODIN SCORE

Poland

4th

GLOBAL RANK
OUT OF 198

COVERAGE SCORE
OUT OF 100

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. Poland ranks 4th in the Open Data Inventory 2024 with an overall score of 89. The overall score is a combination of a data coverage subscore of 79 and a data openness subscore of 97.

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 198	6th	2nd	4th
Eastern Europe OUT OF 9	1st	1st	1st

Category Scores

Data Category	Coverage	Openness	Overall
Population and vital statistics	100	100	100
Education facilities	100	100	100
Education outcomes	90	100	95
Health facilities	80	100	90
Health outcomes	40	100	70
Reproductive health	80	100	90
Food security and nutrition	50	90	72
Gender statistics	60	90	75
Crime and justice	50	100	75
Poverty and income	60	100	80
Social Statistics subscore	71	98	85
National accounts	38	90	67
Labor	80	100	90
Price indexes	88	100	94
Government finance	100	100	100
Money and banking	100	70	81
International trade	100	100	100
Balance of payments	100	90	94
Economic Statistics subscore	85	93	89
Agriculture and land use	80	100	90
Resource use	88	100	94
Energy	50	100	81
Pollution	100	100	100
Built environment	90	100	95
All Categories	79	97	89

Last updated: April 29, 2025

Understanding the Scores

Each category receives a coverage and openness score. Coverage scores are based on five coverage elements* and openness scores are based on five openness elements. Overall scores are an average of all 10 criteria.

100	Score 100 Data in this category fulfill all ODIN coverage/openness criteria.
82	Scores 81-99 Data in this category fulfill most ODIN coverage/openness criteria.
62	Scores 61-80 Data in this category fulfill several ODIN coverage/openness criteria, but many important gaps remain.
42	Scores 41-60 Data in this category fulfill some ODIN coverage/openness criteria, but many important gaps remain.
22	Scores 21-40 Data in this category fulfill some ODIN coverage/openness criteria, but many important gaps remain.
11	Scores 1-20 Data in this category fulfill few ODIN coverage/openness criteria and there are significant gaps.
-1	Score 0 Not enough data were published to meet the minimum threshold to receive a score.

*Some categories are only scored on 3 or 4 coverage criteria. View the coverage tab for more information.

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 disaggregated indicators, how many observations are available over the last 10 years, and whether national and subnational data exist.

Indicators Not Published

This is the percentage of ODIN indicators where no qualifying disaggregated data could be found on any government website. Not all indicators are required to be published for full credit, so it is possible to have a small percentage of unpublished data without impacting the coverage score.

Coverage Element Scores, 2024

Understanding the Scores

Coverage scores are based on five coverage elements.* Overall coverage scores are an average of all criteria.

Score 100
Data in this category fulfill all ODIN coverage/openness criteria.

Scores 81-99
Data in this category fulfill most ODIN coverage/openness criteria.

Scores 61-80
Data in this category fulfill many ODIN coverage/openness criteria, but some important gaps remain.

Scores 41-60
Data in this category fulfill some ODIN coverage/openness criteria, but many important gaps remain.

Scores 21-40
Data in this category fulfill some ODIN coverage/openness criteria, but many important gaps remain.

Scores 1-20
Data in this category fulfill few ODIN coverage/openness criteria and there are significant gaps.

Score 0
Not enough data were published to meet the minimum threshold to receive a score.

*Some categories are only scored on 3 or 4 coverage criteria. See description of the coverage elements below.

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 at the national (country level). Each data category has its own requirements discussed further in the Methodology Guide.

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. Each indicator is evaluated using the longest available time series from a single dataset, without combining years from different datasets.

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. Each indicator is evaluated using the longest available time series from a single dataset, without combining years from different datasets.

Data Available for Subnational Level 1
This coverage element measures whether data are available for subnational level 1 within each category. Subnational level 1 in a country is 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 and many environmental and economic indicators are exempt from scoring.

Data Available for Subnational Level 2
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 elements described below. Each category receives an openness score based on the openness 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). Licensing information shown below is for data found on the website of the national statistics office and data portals used in their assessment, if applicable.

NSO Website

Central Statistical Office

Open

Openness Element Scores, 2024

Understanding the Scores

Openness scores are based on five openness elements. Overall openness scores are an average of all criteria.

Score 100
Data in this category fulfill all ODIN coverage/openness criteria.

Scores 81-99
Data in this category fulfill most ODIN coverage/openness criteria.

Scores 61-80
Data in this category fulfill many ODIN coverage/openness criteria, but some important gaps remain.

Scores 41-60
Data in this category fulfill some ODIN coverage/openness criteria, but many important gaps remain.

Scores 21-40
Data in this category fulfill some ODIN coverage/openness criteria, but many important gaps remain.

Scores 1-20
Data in this category fulfill few ODIN coverage/openness criteria and there are significant gaps.

Score 0
Not enough data were published to meet the minimum threshold to receive a score.

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 non-proprietary 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) agency responsible for data collection.

Download Options
This openness element measures whether download options are available. ODIN looks for three download options: (1) bulk download of national level data), (2) API, and (3) user-select download (custom downloads). All data must be available with options 1 and one other for full credit.

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 adaptation 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) 2024/25 assesses data for 64 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 an official government 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 in every category. If data for an indicator were not found or not needed for full credit, the indicator is shown below as “Data not available/scored”.

New Category: We’re testing a new category called Digital Connectivity. Below you’ll see some information about these indicators if data were found, but they are not included in this year’s score.

ODIN 2024 Indicator List
(1.1) Population	Data available (1 of 2 datasets)
Population and vital statistics

Dataset Coverage	Dataset Openness
Population and vital statistics Disaggregation - 5-Year Age Groups, Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Definition, Source, Date	Format - HTML (np);CSV (r, np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Monthly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Population > Population and demographic indicators > select: "Population" > Generate overview > select all variables

(1.1) Population	Data available (2 of 2 datasets)
Population and vital statistics

Dataset Coverage	Dataset Openness
Population and vital statistics Disaggregation - 5-Year Age Groups, Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 Levels - Subnational 2 Metadata - Source, Date, Definition	Format - XLS (r);CSV (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - BDL Database	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Click English Version > POPULATION > POPULATION > Population by sex and age group > Next > select all variables

(1.2) Births	Data available (1 of 2 datasets)
Population and vital statistics

Dataset Coverage	Dataset Openness
Population and vital statistics Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual,Monthly Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Demography > Births and deaths (residents) > select "Live births per 1000 population (residents)" > Generate overview > select all variables

(1.2) Births	Data available (2 of 2 datasets)
Population and vital statistics

Dataset Coverage	Dataset Openness
Population and vital statistics Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 2 Metadata - Source, Date, Definition	Format - XLS (r);CSV (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - BDL Database	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Click English Version > POPULATION > BIRTHS AND DEATHS > Vital statistics: select "Live births" > select all other variables

(1.3) Deaths	Data available (1 of 2 datasets)
Population and vital statistics

Dataset Coverage	Dataset Openness
Population and vital statistics Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - HTML (np);XLSX (r, np);CSV (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual,Monthly Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Demography > Population > Births and deaths > select "Deaths" > Generate overview > select all variables

(1.3) Deaths	Data available (2 of 2 datasets)
Population and vital statistics

Dataset Coverage	Dataset Openness
Population and vital statistics Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 2 Metadata - Source, Date, Definition	Format - XLS (r);CSV (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - BDL Database	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Click English Version > POPULATION > BIRTHS AND DEATHS > Vital statistics by sex > Next > Vital statistics: select "Deaths, grand total" > select all other variables

(2.1) School infrastructure	Data available (1 of 2 datasets)
Education facilities

Dataset Coverage	Dataset Openness
Education facilities Disaggregation - School Type School stage - Primary,Secondary,Tertiary Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - HTML (np);XLSX (r, np);CSV (r, np);JSON (r, np) Download Options - User Selected, Bulk Download, API Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
SIO, Educational Information System, Ministry of National Education	https://dbw.stat.gov.pl/en/baza-danych > Society > Education > Education > Educational Institutions > Schools > Generate overview > Time series [3]: select all relevant years > Dimensions > Type of schools 2: select all > Types of governing authorities: select all

(2.1) School infrastructure	Data available (2 of 2 datasets)
Education facilities

Dataset Coverage	Dataset Openness
Education facilities Disaggregation - School stage - Upper Secondary,Primary Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - Subnational 1, National Level, Subnational 2 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office - Primary schools, total	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Education > Primary Education > Primary schools, total > select "sections in schools"
Central Statistical Office - Upper secondary schools	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Education > UPPER SECONDARY, POST-PRIMARY AND POST-SECONDARY SCHOOLS > Upper secondary and post-secondary schools total > select years and Total sections

(2.2) Teaching staff	Data available (1 of 2 datasets)
Education facilities

Dataset Coverage	Dataset Openness
Education facilities Disaggregation - Sex School stage - Primary,Secondary,Tertiary Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - HTML (np);XLSX (r, np);CSV (r, np);JSON (r, np) Download Options - User Selected, Bulk Download, API Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
SIO, Educational Information System, Ministry of National Education	https://dbw.stat.gov.pl/en/baza-danych > Society > Education > Education > Teachers > Generate overview > Time series [3]: select all relevant years > Dimensions > Type of schools 2: select all > Sex: select all

(2.2) Teaching staff	Data available (2 of 2 datasets)
Education facilities

Dataset Coverage	Dataset Openness
Education facilities Disaggregation - School Type, Sex School stage - General Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - Subnational 1, National Level, Subnational 2 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Education > Primary Education > Full and part-time employed teachers expressed in terms of full-time employees > select years, all school types, and all sexes

(2.3) Education expenditures	Data available
Education facilities

Dataset Coverage	Dataset Openness
Education facilities Disaggregation - Expenditure Categories School stage - General Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level, Subnational 2 Metadata - Date, Definition, Source	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Public finance > Expenditure on powiats budgets > Expenditure in division 801 - Education > select years and all expenditures

(3.1) Enrollment	Data available (1 of 2 datasets)
Education outcomes

Dataset Coverage	Dataset Openness
Education outcomes Disaggregation - Sex School stage - Lower Secondary,Primary,Secondary,Tertiary Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Education > Participation of children, adolescents and adults in education > Gross enrolment rate

(3.1) Enrollment	Data available (2 of 2 datasets)
Education outcomes

Dataset Coverage	Dataset Openness
Education outcomes Disaggregation - School stage - Primary,Lower Secondary,Tertiary,Upper Secondary Years - 2014, 2015, 2016, 2017, 2018 Levels - Subnational 1, Subnational 2 Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Education > Enrollment > Enrollment rates (primary education, lower secondary education) > Select relevant years, gross education ratio, and select all territorial divisions to generate table
Statistics Poland	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Education > Enrollment > Enrollment rates (secondary education, upper secondary education) > Select relevant years, gross education ratio, select post-secondary schools with colleges, and select all territorial divisions to generate table

(3.2) Completion	Data available
Education outcomes

Dataset Coverage	Dataset Openness
Education outcomes Disaggregation - Sex School stage - Primary,Lower Secondary,Secondary,Tertiary Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Education > Participation of children, adolescents and adults in education > select: "Graduation rate" > Generate overview > select all variables

(3.3) Educational achievement	Data available (1 of 2 datasets)
Education outcomes

Dataset Coverage	Dataset Openness
Education outcomes Disaggregation - Proficiency Level, Sex School stage - Primary,Lower Secondary,Secondary,Tertiary Years - 2021, 2022, 2023, 2019, 2020 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Education > Participation of children, adolescents and adults in education > select: "Average results of pupils on the eighth-grade exam" > Generate overview > select all variables

(3.3) Educational achievement	Data available (2 of 2 datasets)
Education outcomes

Dataset Coverage	Dataset Openness
Education outcomes Disaggregation - Proficiency Level, Sex School stage - Primary,Lower Secondary,Secondary,Tertiary Years - 2021, 2022, 2023, 2015, 2016, 2017, 2018, 2019, 2020 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Education > Participation of children, adolescents and adults in education > select: "Average results of the matriculation exam" > Generate overview > select all variables

(4.1) Hospital beds	Data Not Available/Not Scored
Health facilities

(4.2) Healthcare staff	Data available
Health facilities

Dataset Coverage	Dataset Openness
Health facilities Disaggregation - Staff Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Health and healthcare > Healthcare > Medical Staff > Doctors specialists > Generate overview > select all variables

(4.3) Health expenditures	Data available (1 of 2 datasets)
Health facilities

Dataset Coverage	Dataset Openness
Health facilities Disaggregation - Expenditure Categories Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Public Finance > Expenditure of Powiats Budget > Expenditure in Division 851 - Health care > select years, all expenditure types

(4.3) Health expenditures	Data available (2 of 2 datasets)
Health facilities

Dataset Coverage	Dataset Openness
Health facilities Disaggregation - Expenditure Categories Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1 Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	NSO > Local Data Bank > Data > Data by Areas > Public Finance > Expenditure of Powiats Budget > Expenditure in Division 851 - Health care > select relevant years and all expenditure categories > select all territorial divisions to generate table

(5.1) Child immunization	Data available
Health outcomes

Dataset Coverage	Dataset Openness
Health outcomes Disaggregation - Disease Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Health and healthcare > Prevention > Share of vaccinated children and youth in age groups > Generate overview > select all variables

(5.2) Disease prevalence	Data available
Health outcomes

Dataset Coverage	Dataset Openness
Health outcomes Disaggregation - Age, Disease Type, Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Database > Health and healthcare > Health > Morbidity > Incidence of venereal diseases > Generate overview > select all variables

(6.1) Maternal mortality	Data available
Reproductive health

Dataset Coverage	Dataset Openness
Reproductive health Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Monthly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Demography > Population > Births and deaths > Deaths > Generate overview > Selected causes of deaths: select: "XV - Pregnancy, childbirth and puerperium" > APPLY

(6.2) Child mortality	Data available
Reproductive health

Dataset Coverage	Dataset Openness
Reproductive health Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Monthly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Demography > Population > Births and deaths > Infant deaths > Generate overview

(6.3) Fertility	Data available
Reproductive health

Dataset Coverage	Dataset Openness
Reproductive health Disaggregation - Not Applicable Years - 2014, 2015, 2017, 2018, 2019, 2020, 2016, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Demography > Population > Births and deaths > Total fertility rate > Generate overview

(6.4) Modern contraceptive use	Data Not Available/Not Scored
Reproductive health

(6.5) Adolescent births	Data available
Reproductive health

Dataset Coverage	Dataset Openness
Reproductive health Disaggregation - Not Applicable Years - 2014, 2015, 2017, 2018, 2019, 2020, 2016, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Demography > Population > Births and deaths > Fertility rate > Generate overview > Dimensions and items: Age of mother - fertility: select "From 15 to 19 years" > APPLY

(7.1) Food insecurity	Data Not Available/Not Scored
Food security and nutrition

(7.2) Obesity	Data available
Food security and nutrition

Dataset Coverage	Dataset Openness
Food security and nutrition Disaggregation - Age, Sex Years - 2014, 2019 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > DATABASE > Health > Lifestyle > Person be Body Mass Index > Dimension and items: > Sex: select all variables > Body weight type (Body Mass Index): select "Total" & "Obesity (BMI 30.00 and more)" > APPLY

(7.3) Child stunting	Data available
Food security and nutrition

Dataset Coverage	Dataset Openness
Food security and nutrition Disaggregation - Age, Sex Years - 2014, 2019 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np) Download Options - Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland ,Statistics Poland	NSO > Topics > Health > Percentage of persons aged 15 years and more by Body Mass Index (BMI)

(7.4) Child wasting	Data available
Food security and nutrition

Dataset Coverage	Dataset Openness
Food security and nutrition Disaggregation - Sex Years - 2014, 2019 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > DATABASE > Health > Lifestyle > Person be Body Mass Index > Dimension and items: > Sex: select all variables > Body weight type (Body Mass Index): select "Total" & "Underweight (BMI less than 18.50)" > APPLY

(8.1) Violence against women	Data available
Gender statistics

Dataset Coverage	Dataset Openness
Gender statistics Disaggregation - Age, Type Of Violence Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Justice system > Criminality > Victims of rape and domestic violence > GENERATE OVERVIEW >

(8.2) Women in leadership	Data available
Gender statistics

Dataset Coverage	Dataset Openness
Gender statistics Disaggregation - Not Applicable Years - 2014, 2015, 2023, 2019, 2016, 2017, 2018, 2020, 2021, 2022 Levels - National Level Metadata - Source, Definition	Format - CSV (r, np);HTML (np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://sdg.gov.pl/en/ > Goal 5 > 5.5.1 - Percentage of women sitting in national parliaments and local government > Select all dimension of polish parliament and local government unit

(8.3) Child marriage	Data available
Gender statistics

Dataset Coverage	Dataset Openness
Gender statistics Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Demography > Population > Marriages, divorces, separations > Marriage > GENERATE OVERVIEW > Dimensions and items: > Woman's age - single years: select: all years from "16 years" to "20 years" > Man's age - singlel years: select: all years from "18 years" to "20 years" > APPLY

(9.1) Homicides	Data available
Crime and justice

Dataset Coverage	Dataset Openness
Crime and justice Disaggregation - Age Of Victim, Sex Of Victim Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Justice system > Homicide victims > GENERATE OVERVIEW

(9.2) Crimes	Data available (1 of 2 datasets)
Crime and justice

Dataset Coverage	Dataset Openness
Crime and justice Disaggregation - Crime Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Justice system > Ascertained crimes by the Police > GENERATE OVERVIEW

(9.2) Crimes	Data available (2 of 2 datasets)
Crime and justice

Dataset Coverage	Dataset Openness
Crime and justice Disaggregation - Crime Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 Levels - Subnational 1, Subnational 2 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://stat.gov.pl/en/ > Local Data Bank > Data by Area > ORGANIZATION OF THE STATE AND JUSTICE > ASCERTAINED CRIMES BY THE POLICE IN COMPLETED PREPARATORY PROCEEDINGS > Ascertained crimes by the Police in completed preparatory proceedings > Select relevant years, and the following indicators: crimes ascertained by the Police: against public safety and safety in transport-traffic offence, against life and health, against property, against freedom, freedom conscience, sexual freedom, and morals, against public safety and safety in transport, per 1000 population. Then, select territorial divisions to generate table.

(9.3) Prison population	Data available
Crime and justice

Dataset Coverage	Dataset Openness
Crime and justice Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Justice system > > GENERATE OVERVIEW

(10.1) Poverty	Data available
Poverty and income

Dataset Coverage	Dataset Openness
Poverty and income Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - HTML (np);CSV (r, np) Download Options - API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://sdg.gov.pl/en/ > Goal 1 > 1.1.1 At -risk of poverty rate according to international poverty line

(10.2) Income inequality	Data available
Poverty and income

Dataset Coverage	Dataset Openness
Poverty and income Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, Bulk Download, API Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Housing Budget Survey (HBS) > Income and expenditures > Available income distribution in households > GENERATE OVERVIEW

(11.1) Gross domestic product (production approach)	Data available
National accounts

Dataset Coverage	Dataset Openness
National accounts Disaggregation - Industry Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Definition	Format - CSV (r, np);HTML (np);XML (r, np);XLS (r) Download Options - User Selected, Bulk Download Frequency - Quarterly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Bank Danych Makroekonicznych -Macroeconomic Data Bank (BDM)	https://bdm.stat.gov.pl/ > Quarterly > click drop down menu: select "National Accounts" > click gear icon > select all years and quarters

(11.2) Gross domestic product (expenditure approach)	Data Not Available/Not Scored
National accounts

(11.3) Gross domestic product (income approach)	Data available
National accounts

Dataset Coverage	Dataset Openness
National accounts Disaggregation - Income Components Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);JSON (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > DATABASE > National accounts > Generation of income account > click "+" icon > select: Select all options ("Compensation of employees"; "Gross operating surplus/Gross mixed income"; & "Other taxes on production") > GENERATE OVERVIEW > APPLY

(12.1) Employment	Data available (1 of 2 datasets)
Labor

Dataset Coverage	Dataset Openness
Labor Disaggregation - Age, Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Quarterly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Labour market > Economic activity of the population by LFS (by 2020) > Employment rate - LFS > GENERATE OVERVIEW

(12.1) Employment	Data available (2 of 2 datasets)
Labor

Dataset Coverage	Dataset Openness
Labor Disaggregation - Age, Sex Years - 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Quarterly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Labour market > Economic activity of the population by LFS > Employment rate - LFS > GENERATE OVERVIEW

(12.2) Employment distribution	Data Not Available/Not Scored
Labor

(12.3) Unemployment	Data available
Labor

Dataset Coverage	Dataset Openness
Labor Disaggregation - Sex Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Monthly Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Society > Labour market > Economic activity of the population by LFS > Registered unemployed persons > Registered unemployed persons > GENERATE OVERVIEW > Dimensions and items: > Sex: select all variables > NACE Rev. 2 sections, of which industry: select all variables > APPLY

(13.1) Consumer price index	Data available
Price indexes

Dataset Coverage	Dataset Openness
Price indexes Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download, Frequency - Quarterly Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://bdl.stat.gov.pl/ > Local Data Bank > Data > Data by Areas > Price > Price indices > Price indices of consumer goods and services (quarterly data) > Select relevant years, all periods, all indices > Select all territorial divisions to generate table

(13.2) Producers price index	Data available
Price indexes

Dataset Coverage	Dataset Openness
Price indexes Disaggregation - Not Applicable Years - 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014 Levels - National Level Metadata - Source, Date, Definition	Format - HTML (np);XLSX (r, np);CSV (r, np) Download Options - User Selected, API, Bulk Download Frequency - Monthly,Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en > Database > Economy > Prices > Price indices of main macroeconomic categories > Producer prices > Industrial prices > Price indices of sold production of industry > GENERATE OVERVIEW

(14.1) Revenues	Data available (1 of 2 datasets)
Government finance

Dataset Coverage	Dataset Openness
Government finance Disaggregation - Revenue Source Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Public finances > State budget > State budget revenue > GENERATE OVERVIEW

(14.1) Revenues	Data available (2 of 2 datasets)
Government finance

Dataset Coverage	Dataset Openness
Government finance Disaggregation - Revenue Source Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Public finances > Budget of Local Government > Revenue of voivodships budgets > GENERATE OVERVIEW

(14.2) Expenditures	Data available (1 of 2 datasets)
Government finance

Dataset Coverage	Dataset Openness
Government finance Disaggregation - Functional Classification Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Public finances > State budget > State budget expenditure > GENERATE OVERVIEW

(14.2) Expenditures	Data available (2 of 2 datasets)
Government finance

Dataset Coverage	Dataset Openness
Government finance Disaggregation - Functional Classification Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Public finances > Budget of Local Government > Expenditure of voivodships budgets > GENERATE OVERVIEW

(15.1) Money supply	Data available
Money and banking

Dataset Coverage	Dataset Openness
Money and banking Disaggregation - Money Aggregates Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Definition	Format - XLSX (r, np) Download Options - Bulk Download Frequency - Monthly Terms of Use - Not Open Terms of Use URL URL
Source	Navigation
Narodowy Bank Polski	https://nbp.pl/en/ > Menu > Statistics > Monetary and financial statistics > Monetary aggregates > Monetary agregates (monthly data) (.xlsx)

(15.2) Interest rates	Data available
Money and banking

Dataset Coverage	Dataset Openness
Money and banking Disaggregation - Rate Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source	Format - XLS (r);CSV (r, np);XML (r, np);HTML (np) Download Options - User Selected, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
National Bank of Poland	https://bdm.stat.gov.pl/ > ANNUAL > select "Money" from dropdown > Interest rate bill discount; Interest rate on lombard credit (at end of year); Reference rate (end of year)

(16.1) Exports	Data available
International trade

Dataset Coverage	Dataset Openness
International trade Disaggregation - Product Categories Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Monthly Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Economy > International exchange > Commodities turnover > Exports of goods > click on "Times series [7]" at the top of the page > select months/years > Apply > Dimension > select CN > select the main product categories

(16.2) Imports	Data available
International trade

Dataset Coverage	Dataset Openness
International trade Disaggregation - Product Categories Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Metadata - Source, Date, Definition	Format - PDF (np);CSV (r, np);HTML (np);XML (r, np);XLSX (r, np);DOCX (r, np) Download Options - User Selected, API, Bulk Download Frequency - Monthly Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Economy > International exchange > Commodities turnover > Imports of goods by country of consignment > click on "Times series [12]" at the top of the page > select months/years > Apply > Dimension > select CN > select the main product categories

(17.1) Current account balance	Data available
Balance of payments

Dataset Coverage	Dataset Openness
Balance of payments Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Metadata - Source	Format - XLS (r);CSV (r, np);HTML (np);XML (r, np) Download Options - User Selected, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
National Bank of Poland	https://bdm.stat.gov.pl/ > ANNUAL > Balance of Payments on a Transaction Basis > Current Account of the Balance of Payments

(17.2) Foreign direct investment	Data available
Balance of payments

Dataset Coverage	Dataset Openness
Balance of payments Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Metadata - Source	Format - XLS (r);CSV (r, np);HTML (np);XML (r, np) Download Options - User Selected, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
National Bank of Poland	https://bdm.stat.gov.pl/ > ANNUAL > Balance of Payments on a Transaction Basis > Financial Account > Direct investment:

(17.3) Remittances	Data available
Balance of payments

Dataset Coverage	Dataset Openness
Balance of payments Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np) Download Options - Bulk Download, API Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
National Bank of Poland	https://sdg.gov.pl/ > SDG 17 > 17.3.2 Volume of remittances (in United States dollars) as a proportion of total GDP

(23.1) Internet use	Data available
Digital Connectivity

Dataset Coverage	Dataset Openness
Digital Connectivity Disaggregation - Age, Sex, Use Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://dbw.stat.gov.pl/en > Database > Economy > Digital economy and telecommunications > Individual persons > Percentage of individuals using the Internet > Generate overview > click "Time series [3]" at the top of the page > select relevant years > Apply > Dimension > select all for Purposes of internet use, age groups, and sex

(23.2) Mobile network access	Data available
Digital Connectivity

Dataset Coverage	Dataset Openness
Digital Connectivity Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2020, 2019, 2018, 2017, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://dbw.stat.gov.pl/en > Database > Economy > Digital economy and telecommunications > Telecommunications > Mobile telephony > Subscribers of mobile telephony > Generate overview > click "Time series [3]" at top of page and add relevant years

(18.1) Land use	Data available
Agriculture and land use

Dataset Coverage	Dataset Openness
Agriculture and land use Disaggregation - Environmental Zones Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - API, User Selected, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Agriculture > Land Use > Land Use

(18.2) Protected lands	Data available
Agriculture and land use

Dataset Coverage	Dataset Openness
Agriculture and land use Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level, Subnational 2 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Environmental protection > Nature and Biodiversity protection > Areas under legal protection

(18.3) Commodity production	Data available
Agriculture and land use

Dataset Coverage	Dataset Openness
Agriculture and land use Disaggregation - Crop Type Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2023, 2021, 2022 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - API, User Selected, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Agriculture > Growing of crops > Crop production > Next > select all relevant years > select all types of crops > select "Harvest" > select "Total"

(19.1) Fishery harvests	Data available
Resource use

Dataset Coverage	Dataset Openness
Resource use Disaggregation - Not Applicable Years - 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2014, 2015 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Economy > Maritime and inland economy > Fishing > Fish and shellfish catches > GENERATE OVERVIEW

(19.2) Timber harvests	Data available
Resource use

Dataset Coverage	Dataset Openness
Resource use Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, National Level Metadata - Source, Date, Definition	Format - HTML (np);XLSX (r, np);CSV (r, np) Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Forestry and hunting > Forestry of all forms of ownership > Removals (timber) per 100 ha of forest area > select all years and forms of ownership

(19.3) Extractive activities	Data Not Available/Not Scored
Resource use

(19.4) Water consumption	Data available (1 of 2 datasets)
Resource use

Dataset Coverage	Dataset Openness
Resource use Disaggregation - Sector Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - API, User Selected, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://dbw.stat.gov.pl/en > Database > Environment > State and protection of environment > Water and sewage management > Water consumption for needs of the national economy and population > Generate overview > select "Time series [3]" at the top of the page > add all relevant years > Apply > Dimension > select all > Apply

(19.4) Water consumption	Data available (2 of 2 datasets)
Resource use

Dataset Coverage	Dataset Openness
Resource use Disaggregation - Sector Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 Levels - Subnational 1, Subnational 2 Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > ENVIRONMENTAL PROTECTION > WITHDRAWAL AND USE OF WASTEWATER TREATMENT PLANTS > Consumption of water for needs of the national economy and population during the year > Next

(20.1) Energy consumption	Data available
Energy

Dataset Coverage	Dataset Openness
Energy Disaggregation - Sector Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Central Statistical Office	https://bdl.stat.gov.pl/bdl/start > Data > Data by areas > Fuel, Energy, and Materials market > Power sector > Consumption of electricity by economic sectors

(20.2) Energy supply	Data available
Energy

Dataset Coverage	Dataset Openness
Energy Disaggregation - Energy Commodity Years - 2014, 2015, 2016, 2017, 2018, 2019, 2022, 2021, 2020 Levels - National Level Metadata - Source, Date, Definition	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, API, Bulk Download Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Economy > Energy statistics > Gross balance of electricity > GENERATE OVERVIEW

(21.1) Greenhouse gas emissions	Data available (1 of 2 datasets)
Pollution

Dataset Coverage	Dataset Openness
Pollution Disaggregation - Not Applicable Years - 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014 Levels - National Level Metadata - Definition, Date, Source	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, Bulk Download, API Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Environment > State protection of the environment > Air pollution > Total emission of greenhouse gases > GENERATE OVERVIEW

(21.1) Greenhouse gas emissions	Data available (2 of 2 datasets)
Pollution

Dataset Coverage	Dataset Openness
Pollution Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, Subnational 2 Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - BDL Database	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Environmental Protection > EMISSIONS OF AIR POLLUTANTS FROM PLANTS ESPECIALLY NOXIOUS TO AIR PURITY > Emissions of air pollutants- gases > Select relevant years and all pollutant types (Sulphur dioxide, nitrogen dioxide, carbon monoxide, carbon dioxide, methane...) > Select all territorial divisions to generate table

(21.2) Air pollution	Data available (1 of 2 datasets)
Pollution

Dataset Coverage	Dataset Openness
Pollution Disaggregation - Not Applicable Years - 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014 Levels - National Level Metadata - Definition, Date, Source	Format - CSV (r, np);XLSX (r, np);HTML (np) Download Options - User Selected, Bulk Download, API Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en/baza-danych > Environment > State protection of the environment > Air pollution > Total emission of air pollutants > GENERATE OVERVIEW

(21.2) Air pollution	Data available (2 of 2 datasets)
Pollution

Dataset Coverage	Dataset Openness
Pollution Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 1, Subnational 2 Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - BDL Database	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat > Environmental Protection > EMISSIONS OF AIR POLLUTANTS FROM PLANTS ESPECIALLY NOXIOUS TO AIR PURITY > Emissions of air pollutants- gases > Select relevant years and all pollutant types (dinitrogen monoxide; sulphur dioxude) > Select all territorial divisions to generate table

(21.3) Water pollution	Data Not Available/Not Scored
Pollution

(22.1) Access to improved water	Data available
Built environment

Dataset Coverage	Dataset Openness
Built environment Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en > Database > Society > Housing economy and municipal infrastructure > Water supply system > Population using water supply system > generate overview > click "Time series [3]" and select all relevant years > click "Territorial units [1]" and select all > Apply

(22.2) Access to improved sanitation	Data available
Built environment

Dataset Coverage	Dataset Openness
Built environment Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland	https://dbw.stat.gov.pl/en > Database > Society > Housing economy and municipal infrastructure > Sewage system > Population using sewage system > generate overview > click "Time series [3]" and select all relevant years > click "Territorial units [1]" and select all > Apply

(22.3) Overcrowding	Data available (1 of 2 datasets)
Built environment

Dataset Coverage	Dataset Openness
Built environment Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Levels - National Level, Subnational 1 Metadata - Source, Date, Definition	Format - CSV (r, np);HTML (np);XLSX (r, np) Download Options - Bulk Download, API, User Selected Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - GUS Knowledge Database	https://dbw.stat.gov.pl/en > Database > Society > Housing economy and municipal infrastructure > Dwellings > Average number of rooms In a dwelling > generate overview > click "Time series [3]" and select all relevant years > click "Territorial units [1]" and select all > Apply

(22.3) Overcrowding	Data available (2 of 2 datasets)
Built environment

Dataset Coverage	Dataset Openness
Built environment Disaggregation - Not Applicable Years - 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Levels - Subnational 2 Metadata - Source, Date, Definition	Format - XLSX (r, np);CSV (r, np);HTML (np); Download Options - User Selected, API, Bulk Download, Frequency - Annual Terms of Use - Open Terms of Use URL URL
Source	Navigation
Statistics Poland - BDL Database	https://bdl.stat.gov.pl/bdl/dane/podgrup/temat> HOUSING ECONOMY AND MUNICIPAL INFRASTRUCTURE > DECRETMENT IN DWELLING STOCK > Rooms by Type of Dwelling Ownership > Select relevant years and "Average number of rooms in a dwelling" > select all territorial divisions to generate table

(22.4) Access to electricity	Data Not Available/Not Scored
Built environment

(22.5) Housing durability	Data Not Available/Not Scored
Built environment

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) Publish more disaggregated data

The first step to publishing open data is to make available all the data you collect once privacy and security measures are addressed. ODIN looks on all official government websites for data publish on 60+ indicators. In addition, most indicators require some level of categorical disaggregation (example: sex disaggregation) to be considered. The table below shows the indicators that were not found, with any of the categorical disaggregations listed, on any website. Each category has a certain number of indicators and disaggregations required for full credit. Not all indicators in ODIN are relevant to all countries and scoring rules account for this. For example, in Resource Use only 3 out of 4 indicators are required. If you currently publish one, the other three will appear below, but only two additional need to be published for full credit.

See the Methodology Guide for more information.

Data Category	Indicator Name	Missing Categorical Disaggregation
Health outcomes	(5.1) Child immunization	Sex
Crime and justice	(9.1) Homicides	Sex Of Perpetrator
	(9.2) Crimes	Sex Of Victim,Sex Of Perpetrator
Energy	(20.1) Energy consumption	Energy Commodity

2) Publish more recent time-series data

It is important to publish recent time-series data, if collected, and not only historical time-series data. The table below shows the indicators in ODIN that were found published and disaggregated, but did not have a single timeseries with at least 3 of the last 5 years

Indicator Name	URL	Longest Historical Timeseries
(7.2) Obesity	Statistics Poland - GUS Knowledge Database	2019
(7.3) Child stunting	Statistics Poland ,Statistics Poland	2019
(7.4) Child wasting	Statistics Poland - GUS Knowledge Database	2019

3) Publish more historical time-series data

It is important to publish historical timeseries data, if collected, so progress can be assessed over time. The table below shows the indicators in ODIN that were found published and disaggregated, but did not have a single timeseries with at least 6 of the last 10 years. At least 6 of the last 10 years must be published in a timeseries dataset for each indicator to get full credit on data coverage.

Indicator Name	URL	Longest Historical Timeseries
(7.2) Obesity	Statistics Poland - GUS Knowledge Database	2014, 2019
(7.3) Child stunting	Statistics Poland ,Statistics Poland	2014, 2019
(7.4) Child wasting	Statistics Poland - GUS Knowledge Database	2014, 2019

4) Publish more regional and local-level data

Geographic disaggregation increases the value and usefulness of data and enables users to make meaningful comparisons across regions. ODIN assesses geographic disaggregation using two levels- subnational level 1 and subnational level 2. In most countries, subnational level 1 matches their first administrative level/NUTS 2 divisions such as provinces, states, regions, and districts. Subnational level 2 is defined as as geographic division more granular than level 1.

In ODIN, many economic and environmental indicators are not scored on their availability of subnational level 1 or 2 data. Below are a list of indicators, where subnational level 1 or 2 data are required for full credit, but could not be found.

Indicator Name	Subnational Level 1	Subnational Level 2
(3.2) Completion	Not available	Available
(4.1) Hospital beds	Not available	Not available
(4.2) Healthcare staff	Not available	Available
(5.2) Disease prevalence	Not available	Available
(6.3) Fertility	Not available	Available
(6.4) Modern contraceptive use	Not available	Not available
(6.5) Adolescent births	Not available	Available
(12.1) Employment	Not available	Available
(12.2) Employment distribution	Not available	Not available
(12.3) Unemployment	Not available	Available
(23.1) Internet use	Not available	Not available
(23.2) Mobile network access	Not available	Not available
(18.2) Protected lands	Not available	Not available
(21.3) Water pollution	Not available	Not available
(22.1) Access to improved water	Not available	Available
(22.2) Access to improved sanitation	Not available	Available
(22.4) Access to electricity	Not available	Not available
(22.5) Housing durability	Not available	Not available

5) Publish all data under an open license

Each website where government data are published should also have a clearly visible data license that meets openness standards, such as Creative Commons BY 4.0. If data cannot be found on the national statistics office's website or portal, other official sources are sought. Any dataset assessed in ODIN that was published on a website without a license or without an open license is shown below.

License are categorized as the following:

Not Available: No license was found on the website.
Not Open: License published but contains highly restrictive clauses. The most common reason licenses receive this classification is because they forbid commercial use of data.
Semi-Restrictive: License doesn't meet all openness standards, but has some conditions that impact its openness.
Open: License meets all openness standards.

To get help on how to improve your license, please email us.

ODIN Indicator	Dataset URL	License Openness	License URL
(15.1) Money supply	Narodowy Bank Polski	Not Open	Url

6) Publish more comprehensive reference metadata

Metadata is crucial for data openness because it provides essential context, such as the source, definitions, classifications used, making it easier to understand, access, and use effectively. It ensures transparency, improves data discoverability, and supports reproducibility in research and analysis. For all datasets assessed in ODIN, reference metadata are reviewed for some basic components common in all recommended metadata standards, such as SDMX, DCAT, and Dublin Core. Those components include: 1) Source agency responsible for collecting the data, 2) Definition of indicator and key terms, and 3) Date that data was uploaded online. Below is a table of the ODIN indicators for which data with incomplete metadata was found (not all three components were found). To be considered, reference metadata must appear in the same file as the data, near the dataset in a separate file or clearly visible, or in a separate section of the same website that is easy found and named appropiately.

Indicator Name	URL	Missing Metadata Component
(8.2) Women in leadership	Statistics Poland	Date
(11.1) Gross domestic product (production approach)	Bank Danych Makroekonicznych -Macroeconomic Data Bank (BDM)	Source, Date
(15.1) Money supply	Narodowy Bank Polski	Source, Date
(15.2) Interest rates	National Bank of Poland	Date, Definition
(17.1) Current account balance	National Bank of Poland	Date, Definition
(17.2) Foreign direct investment	National Bank of Poland	Date, Definition

Country Context

To understand a country’s enabling environment for open data, it is important to look at ODIN scores with a wider lens. The country context page identifies important features of the enabling environment for open data, such as existing legal frameworks and data commitments. The page also brings together insights from global indexes on data, human development, gender, and governance, to put into perspective where countries stand and where progress is still needed.

Legal Framework

For open data to have impact, strong legal frameworks must be in place. Some examples of frameworks that support all stages of the data value chain include statistical laws, copyright laws, right-to-information laws, and data privacy laws.

Statistical Law A statistical law exists	Statistical laws lay the foundation for a country's national statistical system by defining the mandate for collecting and sharing official data, typically led by the national statistical office.
Copyright Law A copyright law exists	Copyright laws provide the parameters for the production, reproduction, publication, and use of original content, shaping how information like statistical data can be accessed, used, and reused throughout the government.
Right to Information Law A right to information law exists	Right to information laws safeguard citizens' right to access records or information held by the government, and like open data, are an inherent component of open government, promoting greater transparency.
Data Privacy Law A data privacy law law exists	Data privacy laws regulate and safeguard the collection, use, and access to personal data held by the government, and are integral to open data as they protect individuals and help gain public trust.

Data Commitments

Legal frameworks lay the foundation, but true progress on open data requires political and institutional will. This section highlights Poland existing commitments to address or improve open data:

	National Data Strategy National data strategies or National Strategies for the Development of Statistics (NSDS) describe a country’s plans for developing statistical capacity across the entire national statistical system (NSS). They present the statistics office’s priorities for the next 5-10 years. Poland does not have a national data strategy.
	IMF Standards for Data Dissemination Data dissemination standards enhance the availability of timely and comprehensive statistics. Poland is a SDDS Subscriber ?
	Open Data Charter (ODC) ODC is a collaboration between over 100 governments and organizations working to open up data based on a shared set of seven principles. Poland has not adopted the charter.
	Open Government Partnership (OGP) OGP is a multilateral initiative to secure concrete commitments from national and subnational governments to promote open government, empower citizens, fight corruption, and harness new technologies to strengthen governance. Poland is not a member.

Global Indexes of Statistical Capacity

Beyond ODIN, there are other measurements of statistical capacity or open data.

The World Bank’s Statistical Performance Indicators (SPI) measures the capacity and maturity of national statistical systems.

The Global Data Barometer (GDB) measures the state of data in countries, specifically on topics of data governance, capability, availability, and use and impact of data for public good.

The Gender Data Compass provides a comprehensive overview of gender data systems encompassing data availability, openness, foundations, capacity, and financing.

Below is a bar graph showing the overall score for the Statistical Performance Indicators, the Global Data Barometer, and the coverage and openness score for the Gender Data Compass.

Statistical Performance Indicators (Overall Score)	95%
Global Data Barometer (Overall Score)	-%
Gender Data Compass (Coverage Score)	45%
Gender Data Compass (Openness Score)	-%

Global Indexes of Governance and Human Development

Global governance and socio-economic indexes help researchers and practitioners, providing a snapshot on the state of human development, government transparency and accountability within a country. These indexes show the power of data – we cannot fix what we cannot measure.

Human Development Index (UNDP): Measures achievement in key dimensions of human development: a long and healthy life, being knowledgeable and having a decent standard of living.

Democracy Index (Economist Intelligence Unit): Measures 60 indicators in the categories of electoral process and pluralism, functioning of government, political participation, political culture, and civil liberties.

SDG Gender Index (Equal Measures 2030): The most comprehensive measure of gender equality, investigating 56 issues across 14 of the 17 Sustainable Development Goals.

World Press Freedom (Reporters Without Borders): Is an annual ranking that compares the level of press freedom in 180 countries and territories.

All scores have been converted to a 100 point scale.

Country Profile

Summary of Results

Rankings

Category Scores

Understanding the Scores

Coverage

Indicators Not Published

Coverage Element Scores, 2024

Understanding the Scores

Openness

Data License/Terms of Use

Openness Element Scores, 2024

Understanding the Scores

ODIN Indicators

Recommendations

1) Publish more disaggregated data

2) Publish more recent time-series data

3) Publish more historical time-series data

4) Publish more regional and local-level data

5) Publish all data under an open license

6) Publish more comprehensive reference metadata

Country Context

Legal Framework

Data Commitments

Global Indexes of Statistical Capacity

Global Indexes of Governance and Human Development