Data

PPP conversion factor for private consumption

What you should know about this indicator

How is this data described by its producer?

The purchasing power parity (PPP) conversion factor is a currency conversion factor and a spatial price deflator. They convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for household final consumption expenditure and the base currency is the US dollar.

Aggregation method:

No aggregation provided for this indicator.

Statistical concept and methodology:

Methodology: The International Comparison Program (ICP) estimates PPPs for the world’s countries. The ICP is conducted as a global partnership of countries, multilateral agencies, and academia. The 2021 ICP comparison covered 176 countries, including 49 Eurostat-OECD countries. For countries that have not participated in ICP comparisons, the PPP are imputed based on a regression model.

ICP-estimated PPPs cover years from 2011 to 2021. WDI extrapolates 2011 PPPs for years earlier years, and 2021 PPPs for later years. Description of WDI extrapolation approach is available here: https://datahelpdesk.worldbank.org/knowledgebase/articles/665452-how-do-you-extrapolate-the-ppp-conversion-factors

For the member countries of Eurostat-OECD PPP Programme, PPP conversion factors are periodically updated based on the organizations’ databases. For Eurostat-OECD PPP Programme, please refer to the following websites. (http://www.oecd.org/sdd/prices-ppp/) (https://ec.europa.eu/eurostat/web/purchasing-power-parities/overview)

For more information on the ICP and PPPs, please refer to the ICP website at https://www.worldbank.org/en/programs/icp. Statistical concept(s): PPPs are primarily used to convert the national accounts data of economies, such as GDP and its expenditure components, into a common currency. In the process of conversion, they control for differences in the price levels of economies, and thus equalize purchasing power. PPP-based comparisons of economic output differ from market exchange rate-based comparisons as the latter do not distinguish between the relative price levels of different items in economies. Overall price levels are normally higher in higher-income economies than they are in lower-income economies (Balassa-Samuelson effect), mostly because of the large differences in price levels for non-traded products. If no account is taken of the larger price level differences for non-traded products when converting GDP to a common currency, the size of higher-income economies with high price levels will be overstated and the size of lower-income economies with low price levels will be understated. No distinction is made between traded products and non-traded products when market exchange rates are used to convert GDP to a common currency: the rate is the same for all products. PPP-converted GDP does not have this bias because PPPs account for the different price levels of traded products and non-traded products. Thus, PPPs are more appropriate for comparing the output of economies and the average material well-being of their inhabitants and are also less impacted by the potential volatility of market exchange rates.

PPPs are calculated by the International Comparison Program (ICP) based on the prices of goods and services within an economy and national accounts expenditures. See https://www.worldbank.org/en/programs/icp/methodology.

Development relevance:

PPPs are used to convert national accounts data from different countries, such as GDP and its expenditure components, into a common currency, while also eliminating the effect of price level differences between countries. PPPs are also used to derive price level indexes (PLIs), the ratio of a country’s PPP to its market exchange rate, to directly compare price levels across countries. PPPs, PLIs, and the PPP-based expenditures to which they give rise are primarily used to make spatial comparisons of volume and per capita consumption or levels of GDP and its expenditure components across countries. PPP-based indicators are used for national, regional, and global policy making and analysis across the socioeconomic spectrum from poverty and inequality, to health and education, to energy and climate, through to economic growth, labor, productivity, trade, competitiveness, and infrastructure. A number of Sustainable Development Goals use PPP-based indicators to measure development progress.

  • Recommended uses of PPPs include: to make spatial comparisons of GDP and its expenditure components; to make spatial comparisons of price levels; and to group countries by their per capita volume indexes and price level indexes.
  • Recommended uses of PPPs with limitations include: to analyze changes over time in relative GDP per capita and relative prices; to analyze price convergence; to make spatial comparisons of the cost of living; and to use PPPs calculated for GDP and its expenditure components as deflators for other values.

Limitations and exceptions:

Global PPP estimates provided by ICP are produced by the ICP Global Office and regional implementing agencies, based on data supplied by the national implementing agencies in the participating economies, and in accordance with the methodology recommended by the ICP Technical Advisory Group and approved by the ICP Governing Board. As such, these results are not produced by participating economies as part of their national official statistics.

PPPs are not recommended to be used as: a precise measure to establish strict rankings of countries; a means of constructing national growth rates; a measure to generate output and productivity comparisons by industry; an indicator of the undervaluation or overvaluation of currencies; and as an equilibrium exchange rate.

Source
ICP, Eurostat PPP Programme, and OECD PPP Programme, via World Bank (2026)processed by Our World in Data
Last updated
February 27, 2026
Next expected update
February 2027
Date range
1990–2024
Unit
LCU per international $

Sources and processing

ICP, Eurostat PPP Programme, and OECD PPP Programme, via World Bank – World Development Indicators

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
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.
International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, publisher: International Comparison Program, type: International statistical program, date accessed: May 30, 2024, date published: May 30, 2024;
The Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, type: International statistical program;
The OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD. Indicator PA.NUS.PRVT.PP (https://data.worldbank.org/indicator/PA.NUS.PRVT.PP). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
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.
International Comparison Program (ICP), World Bank (WB), uri: https://www.worldbank.org/en/programs/icp/data, publisher: International Comparison Program, type: International statistical program, date accessed: May 30, 2024, date published: May 30, 2024;
The Eurostat PPP Programme, Eurostat (ESTAT), uri: https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes, publisher: Eurostat, type: International statistical program;
The OECD PPP Programme, Organisation for Economic Co-operation and Development (OECD), uri: https://data-https://data-explorer.oecd.org/, publisher: OECD. Indicator PA.NUS.PRVT.PP (https://data.worldbank.org/indicator/PA.NUS.PRVT.PP). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

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.

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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: PPP conversion factor for private consumption”. Our World in Data (2026). Data adapted from ICP, Eurostat PPP Programme, and OECD PPP Programme, via World Bank. Retrieved from https://archive.ourworldindata.org/20260512-185716/grapher/ppp-conversion-factor-for-private-consumption.html [online resource] (archived on May 12, 2026).

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:

ICP, Eurostat PPP Programme, and OECD PPP Programme, via World Bank (2026) – processed by Our World in Data

Full citation

ICP, Eurostat PPP Programme, and OECD PPP Programme, via World Bank (2026) – processed by Our World in Data. “PPP conversion factor for private consumption” [dataset]. ICP, Eurostat PPP Programme, and OECD PPP Programme, via World Bank, “World Development Indicators 125” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260512-185716/grapher/ppp-conversion-factor-for-private-consumption.html (archived on May 12, 2026).

Quick download

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear