Open Data Inventory (ODIN)

Country Profile

62
ODIN SCORE
France
50th GLOBAL RANK
OUT OF 187 		57 COVERAGE SCORE
OUT OF 100 		66 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. France ranks 50th in the Open Data Inventory 2020 with an overall score of 62. The overall score is a combination of a data coverage subscore of 57 and a data openness subscore of 66.

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 187		 47th 52nd 50th
Western Europe
OUT OF 8		 5th 6th 6th

Category Scores

Data Category Coverage Openness    Overall   
Population and vital statistics 80 80 80
Education facilities 60 70 65
Education outcomes 40 50 45
Health facilities 60 70 65
Health outcomes 40 80 60
Reproductive health 60 70 65
Food security and nutrition 13 60 39
Gender statistics 70 70 70
Crime and justice 40 50 45
Poverty and income 80 80 80
Social Statistics subscore 55 68 62
National accounts 75 70 72
Labor 80 70 75
Price indexes 75 100 89
Government finance 75 70 72
Money and banking 50 80 69
International trade 50 90 75
Balance of payments 100 100 100
Economic Statistics subscore 73 83 79
Agriculture and land use 30 60 45
Resource use 50 60 56
Energy 100 70 81
Pollution 75 50 61
Built environment 0 0 0
Environment subscore 45 48 47
All Categories 57 66 62
Last updated: August 9, 2023 (data for 2016-2020 has been updated).

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

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

100%
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Categories that score 0 do not publish the minimum amount of data to receive a score.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.

1
Indicators Lacking Sex Disaggregation

Sex- disaggregated data are important to reflect the realities of men and women in various policy areas and narrow gender inequalities.

100%

Coverage Element Scores, 2020

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 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

National Institute of Statistics and Economic Studies

Open
NSO Data Portal

Statistiques et Etudes

Open

Openness Element Scores, 2020

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) 2020 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 2020 Indicator List

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 sex-disaggregated data

7 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
(1.1) Population data
(3.1) Enrollment rate
(5.1) Immunization rate
(6.2) Infant mortality rate or neonatal mortality rate
(7.3) Prevalence of obesity
(9.1) Homicide rate
(12.1) Employment rate

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 Capacity Indicators

The World Bank’s Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. For more information, click the scores below.

Overall Score
-%
Methodology Subscore
-%
Source Data Subscore
-%
Periodicity Subscore
-%

Scores are only available for low- to middle-income countries.

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 Statistical law n ° 51-711 of June 7, 1951 (link)
Right to Information Law Freedom of access to administrative documents and reuse of public information (link)
Copyright Law Law No. 2019-775 of July 24, 2019, on the Creation of Neighboring Rights for the Benefit of Press Agencies and Publishers (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.

France 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.

France is a SDDS Plus 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.

France is an adopter of 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.

France has been a member since 2014.

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.