Mongolia | Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
The data products overall score is a composite score measureing whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country. Development relevance: The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country. Statistical concept and methodology: Weighted average of statistical performance indicators related to data products. Scores range from 0-100 with 100 representing the best score.
Publisher
The World Bank
Origin
Mongolia
Records
63
Source
Mongolia | Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
1960
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2005 61.79375
2006 61.76875
2007 66.8625
2008 69.575
2009 70.26875
2010 69.5875
2011 69.85
2012 69.4625
2013 68.43125
2014 67.54375
2015 66.79375
2016 73.55
2017 75.11875
2018 78.36875
2019 77.475
2020
2021
2022
Mongolia | Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
The data products overall score is a composite score measureing whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country. Development relevance: The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country. Statistical concept and methodology: Weighted average of statistical performance indicators related to data products. Scores range from 0-100 with 100 representing the best score.
Publisher
The World Bank
Origin
Mongolia
Records
63
Source