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

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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: 28 Sept 2024, 05:28

Summary:

Overall Score

out of 100

Coverage Score

out of 100

Openness Score

100

out of 100

Social Statistics: Population and Vital Statistics

Overall Score

100

out of 100

Coverage Score

out of 50

Openness Score

out of 50

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

Reference Datasets:

Population Table: Malaysia Population Table: States Population Table: Administrative Districts

Live Births by Sex Live Births by State & Sex Live Births by District & Sex

Deaths by Sex Deaths by State & Sex Deaths by District & Sex

Social Statistics: Education Facilities

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (45/50)	Indicators & Breakdowns	10	All indicators and required disaggregations are published at national level.
	Last 5 Years	10	All datasets are published for at least four of the last five years (2019-2022).
	Last 10 Years	10	All datasets are published for at least six of the last ten years (2017-2022).
	State Level Data	5	2.1 and 2.2 are published at state level, but 2.3 is not.
	District Level Data	10	All required indicators are published at district level.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Schools by District

School Teachers by District Academic Staff by University

Budget Allocated to MOE

Social Statistics: Education Outcomes

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/50)	Indicators & Breakdowns	10	All indicators and required disaggregations are published at national level.
	Last 5 Years	10	All datasets are published for at least four of the last five years (2019-2022).
	Last 10 Years	10	All datasets are published for at least six of the last ten years (2017-2022).
	State Level Data	5	All indicators and disaggregations are published at state level.
	District Level Data	5	Only 3.1 is published at district level; 3.2 and 3.3 are not.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Enrolment by District

Completion by State

SDG Indicator 4-6-1

Social Statistics: Health Facilities

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/50)	Indicators & Breakdowns	10	All indicators and required disaggregations are published at national level.
	Last 5 Years	10	All datasets are published for at least four of the last five years (2019-2022).
	Last 10 Years	10	All datasets are published for at least eight of the last ten years (2015-2022).
	State Level Data	5	4.1 and 4.2 are available by state, but 4.3 is not.
	District Level Data	5	4.1 is available by district, but 4.2 is not. District-level data is not required for 4.3
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Hospital Beds by District

Healthcare Staff by State

Budget Allocated to MOH

Social Statistics: Health Outcomes

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (20/50)	Indicators & Breakdowns	5	5.2 is published with the required disaggregations at national level.
	Last 5 Years	5	5.2 is published for four of the last five years (2019-2022), but cannot score higher than Coverage Element 1.
	Last 10 Years	5	5.2 is published for seven of the last ten years (2016-2022), but cannot score higher than Coverage Element 1.
	State Level Data	5	5.2 is available at state level for the same time range as national data, but cannot score higher than Coverage Element 1
	District Level Data	0	No data is published at district level.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

SDG Indicator 3-3-1 STDs by State

Social Statistics: Reproductive Health

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/50)	Indicators & Breakdowns	10	6.1, 6.2 (by sex), 6.3 and 6.5 are published at the national level.
	Last 5 Years	10	All datasets have complete data on a annual basis for four of the last five years (2019-2022).
	Last 10 Years	10	All 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 Data	10	All datasets are available at the state level for the same time range as national data.
	District Level Data	0	District level data for 6.3 and 6.5 is not available at all.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Maternal Deaths Maternal Deaths by State

Early Childhood Deaths Early Childhood Deaths by State

TFR and ASFR TFR and ASFR by State

ASFR for 15-19yo ASFR for 15-19yo by State

Social Statistics: Food Security and Nutrition

Overall Score

out of 90

Coverage Score

out of 40

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (30/40)	Indicators & Breakdowns	10	7.2, 7.3, and 7.4 are published with disaggregation by sex at national level.
	Last 5 Years	5	All datasets are published for one of the last five years (2019).
	Last 10 Years	5	All datasets are published for one of the last ten years (2019).
	State Level Data	10	All datasets are available with breakdowns into urban and rural Malaysia (sufficient for the non-strict subnational classification required).
	District Level Data	—	Not applicable for this indicator, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

WAZ by Sex WAZ by Strata

HAZ by Sex HAZ by Strata

WHZ by Sex WHZ by Strata

Social Statistics: Gender

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (45/50)	Indicators & Breakdowns	10	All indicators and required disaggregations are published at national level.
	Last 5 Years	10	All datasets are published for at least four of the last five years (2019-2022).
	Last 10 Years	10	All datasets are published for at least six of the last ten years (2017-2022).
	State Level Data	10	All indicators are published at state level.
	District Level Data	5	8.1 is published at district level, but 8.3 is not.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

SDG Indicator 16-2-2 Rapes by State Rapes by District

Women in Parliament Women in Local Authorities

Girls Married under 20

Social Statistics: Crime and Justice

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/50)	Indicators & Breakdowns	10	All indicators and required disaggregations are published at national level.
	Last 5 Years	10	All datasets are published for at least four of the last five years (2019-2022).
	Last 10 Years	10	All datasets are published for at least six of the last ten years (2017-2022).
	State Level Data	5	All indicators are published at state level; however, 9.2 is not disaggregated by sex at state level.
	District Level Data	5	All required indicators are published at district level; however, 9.2 is not disaggregated by sex at district level.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

SDG Indicator 16-1-1 Murders by District

SDG Indicator 16-2-2 Crimes by State Crimes by District

Prisoners Prisoners by State

Social Statistics: Poverty and Income

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/50)	Indicators & Breakdowns	10	All indicators are published at the national level.
	Last 5 Years	5	All datasets are available for two of the last five years (2019 and 2022).
	Last 10 Years	5	All datasets are available for four of the last ten years (2014, 2016, 2019, and 2022).
	State Level Data	10	All datasets on poverty are available at state level.
	District Level Data	10	All datasets on poverty are available at district level.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Poverty Rates Poverty Rates by State Poverty Rates by District

Income Inequality

Economic & Financial Statistics: National Accounts

Overall Score

out of 90

Coverage Score

out of 40

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (35/40)	Indicators & Breakdowns	10	GDP 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 Years	10	All datasets are available for each of the last five years (2019-2023).
	Last 10 Years	10	All datasets are available for nine of the last ten years (2015-2023).
	State Level Data	5	Only GDP for the production approach is available at state level. GDP for the expenditure approach is only available at national level.
	District Level Data	—	Not applicable for this indicator, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Quarterly Real GDP (Production)Annual Real GDP by State (Production)

Quarterly Real GDP (Expenditure)

Economic & Financial Statistics: Labour

Overall Score

out of 100

Coverage Score

out of 50

Openness Score

out of 50

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

Reference Datasets:

Employed Persons by Sex Employed Persons by State & Sex Employed Persons by District

Unemployed Persons by Sex Unemployed Persons by State & Sex Unemployed Persons by District

Economic & Financial Statistics: Price Indexes

Overall Score

out of 90

Coverage Score

out of 40

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (35/40)	Indicators & Breakdowns	10	Both CPI and PPI are published on a monthly basis.
	Last 5 Years	10	Both CPI and PPI have complete data on a monthly basis for each of the last five years (2019-2023).
	Last 10 Years	10	Both CPI and PPI have complete data on a monthly basis for each of the last ten years (2014-2023).
	State Level Data	5	CPI data is available at state level, but PPI is not.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Monthly CPI by Division Monthly CPI by State & Division

Monthly PPI by Sector

Economic & Financial Statistics: Government Finance

Overall Score

out of 90

Coverage Score

out of 40

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/40)	Indicators & Breakdowns	10	All indicators are published with at least one disaggregation each at the national level.
	Last 5 Years	10	All national level datasets are available for each of the last five years (2019-2023).
	Last 10 Years	10	All national level datasets are available for each of the last ten years (2014-2023).
	State Level Data	10	All datasets are available for the latest audited year (2022) at state level.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Federal Government Revenue State Government Revenue

Federal Government Operating Expenditure Federal Government Development Expenditure State Government Expenditure

Economic & Financial Statistics: Money and Banking

Overall Score

out of 80

Coverage Score

out of 30

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (30/30)	Indicators & Breakdowns	10	All 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 Years	10	All datasets are available for each of the last five years (2019-2023).
	Last 10 Years	10	All datasets are available for each of the last ten years (2014-2023).
	State Level Data	—	Not applicable for this category, per the ODIN methodology.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Money Aggregates: M1, M2, M3

Monthly Interest Rates Annual Interest Rates

Economic & Financial Statistics: International Trade

Overall Score

out of 80

Coverage Score

out of 30

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (30/30)	Indicators & Breakdowns	10	All indicators are presented with one disaggregation each, and are available on a monthly basis at national level.
	Last 5 Years	10	All datasets are available for each of the last five years (2019-2023) at monthly frequency.
	Last 10 Years	10	All datasets are available for each of the last ten years (2014-2023) at monthly frequency.
	State Level Data	—	Not applicable for this category, per the ODIN methodology.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Monthly Exports by SITC Section

Monthly Imports by SITC Section

Economic & Financial Statistics: Balance of Payments

Overall Score

out of 80

Coverage Score

out of 30

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (30/30)	Indicators & Breakdowns	10	All indicators are available at national level.
	Last 5 Years	10	Datasets 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 Years	10	Datasets 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 Data	—	Not applicable for this category, per the ODIN methodology.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	All data are provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Reference Datasets:

Quarterly CA Balance

Quarterly FDI Flows

SDG Indicator 10-C-1

Environment Statistics: Agriculture and Land Use

Overall Score

100

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (50/50)	Indicators & Breakdowns	10	All indcators are published with at least one disaggregation each at the national level.
	Last 5 Years	10	All indicators have complete data for at least three of the last five years (2019-2021) at national level.
	Last 10 Years	10	All indicators have complete data for at least six of the last ten years (2017-2022 for 18.1 and 18.3, 2014-2021 for 18.2) at national level.
	State Level Data	10	All indicators are published at state level for the same time range as national level data.
	District Level Data	10	One year of data (2017) is availble for both 18.1 and 18.3 at district level.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Planted Area of Crops by State Planted Area of Crops by District

Permanent Forest Reserves Permanent Forest Reserves by State

Production of Crops by State Production of Crops by District

Environment Statistics: Resource Use

Overall Score

out of 90

Coverage Score

out of 40

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (40/40)	Indicators & Breakdowns	10	All indicators and disaggregations are published at the national level.
	Last 5 Years	10	All indicators have complete data for at least three of the last five years (2019-2021) at national level.
	Last 10 Years	10	All indicators have complete data for at least six of the last ten years (2019-2021) at national level.
	State Level Data	10	All indicators and disaggregations are available at state level.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Landings of Fish by State

Timber Production by State

Mineral Extraction by State

Water Consumption by Sector & State

Environment Statistics: Energy

Overall Score

out of 80

Coverage Score

out of 30

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (30/30)	Indicators & Breakdowns	10	All indcators are published with at least one disaggregation each at the national level.
	Last 5 Years	10	All indicators have complete data for each of the last 5 years.
	Last 10 Years	10	All indicators have complete data for six of the last 10 years.
	State Level Data	—	Not applicable for this category, per the ODIN methodology.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Monthly Energy Consumption

Monthly Energy Supply

Environment Statistics: Pollution

Overall Score

out of 80

Coverage Score

out of 30

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (30/30)	Indicators & Breakdowns	10	All indicators are published at the national level.
	Last 5 Years	10	21.1 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 Years	10	21.1 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 Data	—	Not applicable for this category, per the ODIN methodology.
	District Level Data	—	Not applicable for this category, per the ODIN methodology.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Annual GHG Emissions

Monthly Air Pollution

Water Pollution Monitor

Environment Statistics: Built Environment

Overall Score

100

out of 100

Coverage Score

out of 50

Openness Score

out of 50

Element	Sub-element	Score	Justification
Coverage (50/50)	Indicators & Breakdowns	10	22.1, 22.2, and 22.4 are published at national level.
	Last 5 Years	10	All indicators are published for at least three of the last five years (2019-2021).
	Last 10 Years	10	All indicators are published for at least eight of the last ten years (2014-2021).
	State Level Data	10	All indicators are published at state level with at least 3 years of data.
	District Level Data	10	All indicators are published at district level with 3 years of data.
Openness (50/50)	Machine-Readable	10	The data is provided in CSV and Parquet format, both of which are machine readable.
	Non-Proprietary	10	The data is provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
	Metadata	10	All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
	Downloadable	10	The data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
	Open License	10	A Creative Commons BY 4.0 license is explicitly applied.

Reference Datasets:

Treated Water by State Piped Water by District

Sanitary Latrines by State Sanitary Latrines by District

Household with Electricity Electricty by State Electricity by District

Department of Statistics Malaysia

Open Source

Frontend Repo: NextJS Backend Repo: Django UI + UX Design: Figma

Open Data

data.gov.my