Data

Statistical performance indicator

What you should know about this indicator

The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure.

Statistical concept and methodology: Weighted average of all statistical performance indicators. Scores range from 0-100 with 100 representing the best score.

Notes from original source: The SPI draws on a variety of data sources to create the indicators. A guiding principle is that the SPI rely on openly available data from credible sources, such as international organizations and NSO websites. The SPI team used web scraping, accessed publicly available databases, or in some cases visited NSO websites to acquire the information. While greater detail for each specific indicator can be found in the technical documentation describing each indicator.

Source

World Bank (2025) – processed by Our World in Data

Last updated

January 24, 2025

Next expected update

January 2026

Date range

2016–2023

Sources and processing

This data is based on the following sources

The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Retrieved on

January 24, 2025

Retrieved from

https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators

Citation

This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.

World Development Indicators (WDI), The World Bank (2025).

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

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Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Statistical performance indicator”. Our World in Data (2025). Data adapted from World Bank. Retrieved from https://ourworldindata.org/grapher/statistical-performance-indicator [online resource]

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

World Bank (2025) – processed by Our World in Data

Full citation

World Bank (2025) – processed by Our World in Data. “Statistical performance indicator” [dataset]. World Bank, “World Development Indicators” [original data]. Retrieved February 17, 2025 from https://ourworldindata.org/grapher/statistical-performance-indicator