Advanced Filter. Web Service. OECD Statistics. The goal is to provide a reliable and relevant information base, with the ultimate objective of informing policies that affect economic and social development as well as supporting poverty measurement and monitoring efforts. Purchasing Power Parity takes into account the cost of a common basket of goods in the countries being compared to analyze economic and social conditions within their areas of concern. The ICP offers them a powerful tool for comparative research on economic and social development.
International comparison project prior to and International comparison programme since Country Available. All Countries Aggregates. Select all Unselect all Invert selection.
Filter Hierarchy. Showing - of. Sort Remove all. Create Custom Group. Additional Options Metadata Optional. Display Country List. Clear Add. Classification Available. Series Available. Create Custom Indicator. Display Series List. Clr Add Validate. Aggregation Rule Defines the methodologies to be used when deriving custom aggregates. Learn More » Define Aggregation Rule. Apply Same rule for all indicators Set rule for each indicator. After the formula is complete, you can verify its syntax by clicking the Validate button.
Later if you wish to see or change the formula for an indicator you have created, from the right side current selection panel click the Edit. Use the DEL key to delete the last entry and step backwards to edit the formula. Click the Clear button to erase the custom indicator formula. Note: Validation will verify a formula for proper syntax only. Derived indicators may yield inappropriate results and caution should be observed.
You can remove the customized indicators by clicking on the Delete button in the current selection panel in right side. The Aggregation Rules function defines the methodologies to be used when deriving custom aggregates. These rules apply only to custom country groups you have created. They do not apply to official groups presented in your selected database.
For each selected series, choose your Aggregation Rule and Weight Indicator if needed from the corresponding drop-down boxes. Check the Apply to all box if you wish to use the same methodology for all selected series. Aggregation Rules include: 1. Max: Aggregates are set to the highest available value for each time period. Mean: Aggregates are calculated as the average of available data for each time period.
Mean Aggregates are calculated as the average of available data for each time period. Values are not shown if more than one third of the observations in the series are missing. Median: Aggregates are calculated as the median of available data for each time period. Median Aggregates are calculated as the median of available data for each time period.
Values are not computed if more than a third of the observations in the series are missing. Min: Aggregates are set to the lowest available value for each time period. Sum: Aggregates are calculated as the sum of available data for each time period. Sum Aggregates are calculated as the sum of available data for each time period. Sums are not shown if more than one third of the observations in the series are missing.
Weighted Mean: Aggregates are calculated as weighted averages of available data for each time period. Weighted Mean Aggregates are calculated as weighted averages of available data for each time period. No aggregate is shown if missing data account for more than one third of the observations in the series. Weighted Mean 66POP: Aggregates are calculated as weighted averages of available data for each time period.
No aggregate is shown if countries with missing data represent more than one third of the total population of your custom group. Note 1: In none of the above methodologies are missing values imputed.
Therefore, aggregates for groups of economies should be treated as approximations of unknown totals or average values. Note 2: Aggregation results apply only to your custom-defined groups and do not reflect official World Bank aggregates based on regional and income classification of economies.
Results may be inappropriate e. Time Available. Annual Quarterly Monthly Weekly Daily. Create Time Function. Span From To. Total periods 1 2 3 4 5 6 7 8 9 10 Latest period Default -1 -2 -3 -4 -5 -6 -7 -8 -9 Optional. Additional options Metadata Optional.
Display function definition. Hide title applicable to WDI online table only. Hide label applicable to WDI online table only. Revised results are available for participating economies and cover 44 expenditure headings and several indicators, including PPPs, national accounts expenditures in PPP and nominal terms, and price level indices.
Additionally, partial results are available for 20 Pacific islands, while imputed results are available for 15 economies that did not participate in the ICP cycle. Note that the data were revised during the ICP cycle using updated expenditures, regional PPPs, population, and market exchange rate data and users should access these data through the ICP cycle links above. These elements include the objectives, guiding principles, and procedures for data archiving and researcher access to underlying detailed PPPs, expenditure data and average prices.
It describes the triggers and guidelines for revising ICP indicators, as well as the timing of revisions and the steps to be taken to communicate these revisions to users. The framework introduces rigor, structure, and a common language in the assessment of the quality of microeconomic data and aggregated results and the implementation of relevant processes. It comprises principles that ICP procedures at the country, regional, and global levels should adhere to.
PPPs are primarily used to convert the national accounts data of economies, such as GDP and its expenditure components, into a common currency. In doing so they eliminate the effect of price level differences between economies and reflect only differences in the volume or output of economies. These data are essential to cross-country comparisons of GDP, consumption and investment. As a global public good, ICP data are used for research and analysis, indicator compilation, policy making, and administrative purposes at the national, bilateral, regional, and global level.
Users of ICP data, and the cross-country comparisons that they enable, include policy makers, multilateral institutions, academia, the media and the private sector. The breadth and depth of the ICP dataset make it a valuable input to a wide range of themes under the economic, environmental, and social development umbrellas.
PPPs are used to establish the international poverty line and measures of global poverty and income inequality, which in turn are used by Sustainable Development Goals 1 and 10 to monitor progress. Other SDGs focusing on agriculture, health, education, labor, and energy and emissions also draw on PPPs to track progress. Analyses of economic growth, productivity, trade, government expenditure, investment, health costs, migration, waste, welfare, prices, and the impact of violence are other examples.
The publication Purchasing Power Parities for Policy Making: a Visual Guide to Using Data from the International Comparison Program provides an overview of how data and indicators based on ICP outputs are used in a host of analyses, including monitoring progress towards the SDG goals, to inform policy making across the socioeconomic spectrum at the national, regional, and international levels.
Seventy charts and maps illustrating these uses are organized under eleven policy-focused chapters: the size of the economy and price levels; poverty and inequality; trade and competitiveness; labor costs, wages, and social safety nets; food and nutrition; health; education; energy and climate; infrastructure; human development; and administrative uses. In addition, the guide includes a comprehensive chapter on the uses and limitations of PPPs and analyses for which they are appropriate, as well as a technical note outlining the concepts and definitions of terms used.
The list below highlights major outputs that rely on these data. A summary of the limitations and recommended uses of PPPs is also presented. Please click here to access a current list of the use of PPPs and ICP data in reports and research papers, media and academic articles, and blogs, as well as ICP-related conferences and seminars. Major applications by international organizations Detailed list. Major applications by policymakers, academia and private sector Detailed list.
Purchasing power parities are statistical estimates and are subject to sampling, measurement and classification errors. Hence, they should be treated as approximations to true values. This caveat should be kept in mind when using PPPs, and users should be cautious of drawing conclusions based on small differences in PPPs between economies. Due to the complexity of the process used to collect the data and calculate PPPs, it is not possible to directly estimate their margins of error.
It started as a modest research project, but the ultimate goal was to set up a regular program of global PPP-based comparisons of GDP.
The initial intent was to cover GDP from both the expenditure and production side of national accounts. To date, comparisons have only been made from the expenditure side since they are less difficult to implement in practice. They involve only one set of final expenditures, whereas comparisons from the production side involve both outputs and inputs and have the added complexity of double deflation.
Comparisons of final expenditure on GDP have been completed for , , , , , , , , and Country participation consisted of 10, 16, 34, 60, 64, , , , and economies, respectively. After the comparison, the ICP discarded its research status and became a regular part of the UNSD work program and was regionalized. United Nations regional commissions organized regional comparisons which the UNSD oversaw and coordinated to ensure that they could be combined in a global comparison.
Since , the program has operated on a three-year survey cycle and coverage has been extended to European countries that are not members of either the EU or the OECD. The World Bank proposed a new strategy to address limitations and improve the program. At its 33rd session in , the UNSC reviewed and endorsed a new strategic framework for the ICP, including an international governance arrangement and a broad implementation plan.
The ICP produced estimates of the relative price levels of GDP and its principal aggregates for economies, including approximately 40 more economies than the cycle.
This was the first time for China to participate in the ICP and the first time since that India participated. This comparison included 48 African economies, which represented more participating countries than ever before.
New methods were developed and used to overcome shortcomings of the previous data collection and estimation processes.
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