International Benchmarking

Open Data Inventory (ODIN): 2024/25 self-assessment

The Open Data Inventory (ODIN) is a globally-used measure of a country's adherence to open data standards, with biennial assessments conducted by OpenDataWatch. In the 2022/23 assessment, Malaysia ranked 67th out of 193 countries. This time around, we want to do better. This page presents our ODIN self-assessment in full compliance with the latest methodology, to help the ODIN team assess us and provide feedback quickly. Let’s see how far we can go!

Last updated: 19 Sept 2024, 10:33

Summary:

Overall Score

56

out of 100

Coverage Score

50

out of 100

Openness Score

60

out of 100

Social Statistics: Population and Vital Statistics

Overall Score

100

out of 100

Coverage Score

50

out of 50

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (50/50) Indicators & Breakdowns10Population data is published by sex and 5-year age groups; live births and deaths are both published by sex.
Last 5 Years10All datasets have complete data on a annual basis for each of the last five years (2019-2023).
Last 10 Years10All datasets have complete data on a annual basis for each of the last ten years (2014-2023).
State Level Data10All datasets are available at the state level for the same time range as national data.
District Level Data10All datasets are available at district level, with data from 2020-2022 or 2020-2023.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Social Statistics: Reproductive Health

Overall Score

90

out of 100

Coverage Score

40

out of 50

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (40/50) Indicators & Breakdowns106.1, 6.2 (by sex), 6.3 and 6.4 are published at the national level.
Last 5 Years10All datasets have complete data on a annual basis for four of the last five years (2019-2022).
Last 10 Years10All datasets have complete data on a annual basis for at least six of the last ten years (2017-2022), with some datasets having a longer timeseries.
State Level Data10All datasets are available at the state level for the same time range as national data.
District Level Data0District level data for 6.3 and 6.5 is not available at all.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Social Statistics: Food Security and Nutrition

Overall Score

80

out of 90

Coverage Score

30

out of 40

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/40) Indicators & Breakdowns107.2, 7.3, and 7.4 are published with disaggregation by sex at national level.
Last 5 Years5All datasets are published for one of the last five years (2019).
Last 10 Years5All datasets are published for one of the last ten years (2019).
State Level Data10All datasets are available with breakdowns into urban and rural Malaysia (sufficient for the non-strict subnational classification required).
District Level DataNot applicable for this indicator, per the ODIN methodology.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Social Statistics: Poverty and Income Statistics

Overall Score

90

out of 100

Coverage Score

40

out of 50

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (40/50) Indicators & Breakdowns10All indicators are published at the national level.
Last 5 Years5All datasets are available for two of the last five years (2019 and 2022).
Last 10 Years5All datasets are available for four of the last ten years (2014, 2016, 2019, and 2022).
State Level Data10All datasets on poverty are available at state level.
District Level Data10All datasets on poverty are available at district level.
Openness (50/50) Machine-Readable10The data is provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied.

Economic & Financial Statistics: National Accounts

Overall Score

85

out of 90

Coverage Score

35

out of 40

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (35/40) Indicators & Breakdowns10GDP for the production and expenditure appproaches is published on a quarterly basis at national level, with disaggregations by industry and expenditure category respectively.
Last 5 Years10All datasets are available for each of the last five years (2019-2023).
Last 10 Years10All datasets are available for nine of the last ten years (2015-2023).
State Level Data5Only GDP for the production approach is available at state level. GDP for the expenditure and income approaches is only available at national level.
District Level DataNot applicable for this indicator, per the ODIN methodology.
Openness (50/50) Machine-Readable10The data is provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied.

Economic & Financial Statistics: Labour

Overall Score

95

out of 100

Coverage Score

45

out of 50

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (45/50) Indicators & Breakdowns10Both 12.1 and 12.3 are published by sex at national level.
Last 5 Years10All datasets and disaggregations are available at national and state level for four of the last five years (2019-2022).
Last 10 Years10All datasets and disaggregations are available at national and state level for nine of the last ten years (2014-2022).
State Level Data10All datasets (with disaggregation by sex) are available at state level for all years.
District Level Data5All datasets are available at district level from 2019-2022, but are NOT disaggregated by sex.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Economic & Financial Statistics: Price Indexes

Overall Score

85

out of 90

Coverage Score

35

out of 40

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (35/40) Indicators & Breakdowns10Both CPI and PPI are published on a monthly basis.
Last 5 Years10Both CPI and PPI have complete data on a monthly basis for each of the last five years (2019-2023).
Last 10 Years10Both CPI and PPI have complete data on a monthly basis for each of the last ten years (2014-2023).
State Level Data5CPI data is available at state level, but PPI is not.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Economic & Financial Statistics: Government Finance

Overall Score

90

out of 90

Coverage Score

40

out of 40

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (40/40) Indicators & Breakdowns10All indicators are published with at least one disaggregation each at the national level.
Last 5 Years10All national level datasets are available for each of the last five years (2019-2023).
Last 10 Years10All national level datasets are available for each of the last ten years (2014-2023).
State Level Data10All datasets are available for the latest audited year (2022) at state level.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10The data is provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied.

Economic & Financial Statistics: Money and Banking

Overall Score

80

out of 80

Coverage Score

30

out of 30

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/30) Indicators & Breakdowns10All indicators are presented with at least one categorical disaggregation each. The criteria of at least two interest rates for each year is fulfilled.
Last 5 Years10All datasets are available for each of the last five years (2019-2023).
Last 10 Years10All datasets are available for each of the last ten years (2014-2023).
State Level DataNot applicable for this category, per the ODIN methodology.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Economic & Financial Statistics: International Trade

Overall Score

80

out of 80

Coverage Score

30

out of 30

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/30) Indicators & Breakdowns10All indicators are presented with one disaggregation each, and are available on a monthly basis at national level.
Last 5 Years10All datasets are available for each of the last five years (2019-2023) at monthly frequency.
Last 10 Years10All datasets are available for each of the last ten years (2014-2023) at monthly frequency.
State Level DataNot applicable for this category, per the ODIN methodology.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Economic & Financial Statistics: Balance of Payments

Overall Score

80

out of 80

Coverage Score

30

out of 30

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/30) Indicators & Breakdowns10All indicators are available at national level.
Last 5 Years10Datasets for 17.1 and 17.2 are available for each of the last five years (2019-2023) at quarterly frequency; the dataset for 17.3 is available for four of the last five years (2019-2022) at annual frequency.
Last 10 Years10Datasets for 17.1 and 17.2 are available for each of the last ten years (2014-2023) at quarterly frequency; the dataset for 17.3 is available for seven of the last ten years (2016-2022) at annual frequency.
State Level DataNot applicable for this category, per the ODIN methodology.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Environment Statistics: Energy

Overall Score

80

out of 80

Coverage Score

30

out of 30

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/30) Indicators & Breakdowns10All indcators are published with at least one disaggregation each at the national level.
Last 5 Years10All indicators have complete data for each of the last 5 years.
Last 10 Years10All indicators have complete data for six of the last 10 years.
State Level DataNot applicable for this category, per the ODIN methodology.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10The data is provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied.

Environment Statistics: Pollution

Overall Score

80

out of 80

Coverage Score

30

out of 30

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/30) Indicators & Breakdowns10All indicators are published at the national level.
Last 5 Years1021.1 and 21.3 are available for three of the last five years (2019-2021), while 21.2 is available for four of the last five years (2019-2022).
Last 10 Years1021.1 and 21.3 are available for eight of the last ten years (2014-2021), while 21.2 is available for six of the last ten years (2017-2022).
State Level DataNot applicable for this category, per the ODIN methodology.
District Level DataNot applicable for this category, per the ODIN methodology.
Openness (50/50) Machine-Readable10The data is provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied.
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Department of Statistics Malaysia

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