WDI update - December 2024

Summary: What’s new?


Guide to Indicator Selection and Population Technical Note Released
The World Development Indicators (WDI) team has published a guide on selecting development indicators, along with a technical note explaining the methodology for population estimates and projections.


On December 17, the World Development Indicators (WDI) database was updated. This release features the latest data for:

A list of indicators included in this update can be accessed here and the data is available through the Open Data site, DataBank, the Data Catalog, and via API.

Here are the indicator changes for the fourth quarter of 2024: additions, deletions, and methodological adjustments.

New indicators

Greenhouse Gas Emissions: This WDI update includes 43 new greenhouse gas (GHG) emissions indicators. The new indicators cover the annual emissions of greenhouse gases included in the Kyoto protocol and are disaggregated by gas (carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and fluorinated gases) as well as by sector (agriculture, energy (building, fugitive emissions, industrial combustion, power industry), industrial processes, transport, and waste).

The data for the new emissions indicators is sourced from the EDGARv8.0 database, which is published by the European Commission’s Joint Research Center (JRC) and is estimated using information from several sources including the International Energy Agency (IEA). The data are harmonized using a methodology developed by the Intergovernmental Panel on Climate Change (IPCC), which allows for comparison across countries as well as sectors.

The EDGARv8.0 database tracks annual emissions up to 2022 and has an annual update cycle (the next update including 2023 data is forthcoming). The data is standardized to carbon dioxide equivalent values using the latest global warming potential (GWP) values from the IPCC’s Fifth Assessment Report (AR5), which was published in 2013.

In addition, this update includes new indicators on carbon fluxes caused by land use, land-use change, and forestry (LULUCF), which are disaggregated by four categories: deforestation, forest land, organic soil, and other land. The country-level data for the LULUCF indicators is sourced from a hybrid dataset produced by Grassi et al., (2023), which is generally reflective of country-submitted estimates and draws data from submissions and briefs to the UNFCCC and REDD+, independent reports, satellite data, and wildfire data to report emissions and removals. The Grassi database covers the years 2000-2020 and is expected to have annual updates.

The new indicators also include the carbon intensity of GDP, as well as the change of emissions with respect to 1990 for all gases. The year 1990 is used as reference year in the Kyoto protocol.

These new 43 indicators replace the previous 37 GHG emissions indicators in WDI, which were compiled from various data sources, restricting the comparability across indicators, and had limited time coverage, especially for more recent years. As the methodology differs between the new indicators and the previous indicators, e.g. using different GWP values (AR4 vs AR5), all the new indicators have new indicator codes, and all historical values have been replaced.

A list of the replaced 37 indicators, along with WDI Database Archives API links, can be found in the Annex.


Internet use: WDI now includes the sex-disaggregated Internet use indicators sourced from the International Telecommunication Union. The Internet is a crucial tool for various essential activities, including accessing education, searching for jobs, engaging in e-commerce, obtaining health information, and using financial or government services. These indicators correspond to the Sustainable Development Goal (SDG) 17.8.1 indicator, and help identify digital divides among individuals using the Internet. Notably, it highlights that women, particularly in low-income countries, have lower internet usage rates than men. This data integration enhances our ability to analyze and address gender disparities in internet usage, supporting evidence-based policymaking and targeted interventions to promote digital inclusion.


Methodological Adjustments

Tariff Data
The latest release of WDI includes updated tariff data, offering a comprehensive resource for analyzing trade policies, assessing economic competitiveness, and examining their impacts on global and regional markets. The dataset encompasses critical indicators such as binding coverage, bound rates, tariff lines, and applied rates. The tariff data are based on World Bank staff estimates generated through the World Integrated Trade Solution (WITS) system. These estimates utilize data from the United Nations Conference on Trade and Development’s Trade Analysis and Information System (TRAINS) database, as well as the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database. This update also improves the consistency of tariff data for European Union (EU) Member States by accurately reflecting EU membership status for specific countries and years, ensuring the appropriate application of EU tariff data.


High-technology exports (current US$)
High-technology exports (% of manufactured exports)
This definition was modified as of October 2024, specifically the list of SITC Rev.4 product codes now includes product code 776 in its entirety. This means that all data in its sub-categories is incorporated. This means that products codes 776.11, 776.12, 776.21, 776.23, 776.29 have been added to the high-tech list of products, which does not comply with OECD’s 2008 definition of high-tech.
This change was implemented to address the problem of missing data which occurs during the data conversion process from HS2022 to SITC4. This happens if a country submits export data in the HS2022 coding system and is no longer in HS2017. Specifically, the HS2022-to-SITC4 conversion table (downloaded from COMTRADE) does not break down product code 776.4+ into sub-categories, and the export data of these sub-categories has been subsumed into 776. Since there is no break down for 776.4+, extracting data from the SITC4 dataset in the COMTRADE database will yield zero value for SITC4 codes 776.4, 776.42, 776.44, 776.46, and 776.49 as defined in the OECD high-tech definition. Hence, when calculating high-tech export values using the forward method of summing up data from these five SITC4 codes will result in missing data caused by the conversion process. This can result in a significant year-on-year decline in high-tech export values for affected countries.

Annex – List of discontinued indicators (with WDI Database Archives API links)

Greenhouse Gas Emissions, replaced by new set of GHG emissions indicators

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