Others titles

  • GDP Factor Purchasing Power Parity
  • PPP conversion factor LCU Per International Dollar
  • PPP for GDP LCU Per International Dollar

Keywords

  • GDP
  • PPP
  • Purchasing Power Parity
  • ICP
  • Economy
  • US Dollar Exchange Rate
  • International Comparison Program

Purchasing Power Parity Conversion Factor For GDP

This dataset consists of information on Purchasing Power Parity (PPP) conversion factor, which is the number of units of a country’s currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for GDP (Gross Domestic Product).

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Description

In a market-based economy, household, producer, and government choices about resource allocation are influenced by relative prices, including the real exchange rate, real wages, real interest rates, and other prices in the economy. Relative prices also largely reflect these agents’ choices. Thus relative prices convey vital information about the interaction of economic agents in an economy and with the rest of the world. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statistical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisation for Economic Co-operation and Development (OECD).

Official or market exchange rates are often used to convert economic statistics in local currencies to a common currency in order to make comparisons across countries. Since market rates reflect at best the relative prices of tradable goods, the volume of goods and services that a U.S. dollar buys in the United States may not correspond to what a U.S. dollar converted to another country’s currency at the official exchange rate would buy in that country, particularly when nontradable goods and services account for a significant share of a country’s output. An alternative exchange rate – the purchasing power parity (PPP) conversion factor – is preferred because it reflects differences in price levels for both tradable and nontradable goods and services and therefore provides a more meaningful comparison of real output.

Indicator Name: PPP conversion factor, GDP (LCU per international $)

Indicator Code: PA.NUS.PPP

About this Dataset

Data Info

Date Created

2017-06-30

Last Modified

2022-06-30

Version

2022-06-30

Update Frequency

Annual

Temporal Coverage

1990 to 2021

Spatial Coverage

World

Source

John Snow Labs; World Bank, International Comparison Program (ICP) Database;

Source License URL

Source License Requirements

N/A

Source Citation

N/A

Keywords

GDP, PPP, Purchasing Power Parity, ICP, Economy, US Dollar Exchange Rate, International Comparison Program

Other Titles

GDP Factor Purchasing Power Parity, PPP conversion factor LCU Per International Dollar, PPP for GDP LCU Per International Dollar

Data Fields

Name Description Type Constraints
Country_NameName of the countrystringrequired : 1
Country_CodeISO 3166-1 alpha-2 country code. Country codes are short alphabetic or numeric geographical codes (geocodes) developed to represent countries and dependent areas, for use in data processing and communicationsstringrequired : 1
Region_NameName of the regionstring-
Income_GroupCountry's income groupstring-
Special_NotesSpecial notes, if any.string-
Year_1990PPP rates in 1990numberlevel : Ratio
Year_1991PPP rates in 1991numberlevel : Ratio
Year_1992PPP rates in 1992numberlevel : Ratio
Year_1993PPP rates in 1993numberlevel : Ratio
Year_1994PPP rates in 1994numberlevel : Ratio
Year_1995PPP rates in 1995numberlevel : Ratio
Year_1996PPP rates in 1996numberlevel : Ratio
Year_1997PPP rates in 1997numberlevel : Ratio
Year_1998PPP rates in 1998numberlevel : Ratio
Year_1999PPP rates in 1999numberlevel : Ratio
Year_2000PPP rates in 2000numberlevel : Ratio
Year_2001PPP rates in 2001numberlevel : Ratio
Year_2002PPP rates in 2002numberlevel : Ratio
Year_2003PPP rates in 2003numberlevel : Ratio
Year_2004PPP rates in 2004numberlevel : Ratio
Year_2005PPP rates in 2005numberlevel : Ratio
Year_2006PPP rates in 2006numberlevel : Ratio
Year_2007PPP rates in 2007numberlevel : Ratio
Year_2008PPP rates in 2008numberlevel : Ratio
Year_2009PPP rates in 2009numberlevel : Ratio
Year_2010PPP rates in 2010numberlevel : Ratio
Year_2011PPP rates in 2011numberlevel : Ratio
Year_2012PPP rates in 2012numberlevel : Ratio
Year_2013PPP rates in 2013numberlevel : Ratio
Year_2014PPP rates in 2014numberlevel : Ratio
Year_2015PPP rates in 2015numberlevel : Ratio
Year_2016PPP rates in 2016numberlevel : Ratio
Year_2017PPP rates in 2017numberlevel : Ratio
Year_2018PPP rates in 2018numberlevel : Ratio
Year_2019PPP rates in 2019numberlevel : Ratio
Year_2020PPP rates in 2020numberlevel : Ratio
Year_2021PPP rates in 2021numberlevel : Ratio

Data Preview

Country NameCountry CodeRegion NameIncome GroupSpecial NotesYear 1990Year 1991Year 1992Year 1993Year 1994Year 1995Year 1996Year 1997Year 1998Year 1999Year 2000Year 2001Year 2002Year 2003Year 2004Year 2005Year 2006Year 2007Year 2008Year 2009Year 2010Year 2011Year 2012Year 2013Year 2014Year 2015Year 2016Year 2017Year 2018Year 2019Year 2020Year 2021
ArubaABWLatin America & CaribbeanHigh income0.9235039610.9434521070.95768914099999990.98509947900000011.025150961.0379927111.052554021.0730393081.1310538571.139762711.1259654391.1631416551.19621851400000011.2086201681.2101833221.23279060200000011.23756990099999991.2671576991.2963274151.3100181081.2787124181.3029406071.3178013561.2851409911.3088427781.362317921.3550446031.350689651.34903091699999991.399129381.3423377419999998
Africa Eastern and SouthernAFE26 countries, stretching from the Red Sea in the North to the Cape of Good Hope in the South (https://www.worldbank.org/en/region/afr/eastern-and-southern-africa)
AfghanistanAFGSouth AsiaLow incomeThe reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: March 20). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY). In addition, the World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1960-2006. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.9.19749757110.0707319310.9129008511.7357873612.2041652214.5600018914.5854818114.1790575114.5451339316.6134779117.2422638917.5094188617.03587760000000317.0225200217.4458279417.2055580517.1521777417.9496847619.12317027
Africa Western and CentralAFW22 countries, stretching from the westernmost point of Africa, across the equator, and partly along the Atlantic Ocean till the Republic of Congo in the South (https://www.worldbank.org/en/region/afr/western-and-central-africa)
AngolaAGOSub-Saharan AfricaLower middle incomeThe World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1994-2021. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.1.1000000000000001e-082.1e-081.2e-071.19e-062.6521999999999998e-050.0005001930.0240713830.046250684000000010.0637372680.4132495952.0932869714.22436913310.0859810619.18084379999999824.9264790734.4098549339.0930810439.7043590846.5015468538.4603787150.0463188364.6057510465.6816711466.0193710365.0006713968.1820449880.7789688192.95172119116.3537554136.2384621158.8964033220.2687153
AlbaniaALBEurope & Central AsiaUpper middle income2.3377560643.06436307399999969.97650336299999921.99080432729.24827824800000231.4661730635.4121638438.7245862740.7185409541.1015858742.0252849142.8238770942.9260716344.5932189544.8984927145.5273867744.4122369244.6349647544.5611557744.3380698544.1962143643.8576848843.6552483244.1137386742.8939298442.7057005242.3857268842.2555724942.3029135742.3430728942.4978952642.9692589
AndorraANDEurope & Central AsiaHigh income
Arab WorldARBArab World aggregate. Arab World is composed of members of the League of Arab States.
United Arab EmiratesAREMiddle East & North AfricaHigh income1.1682845221.1392314511.1339731511.1218735271.0955345851.1149627161.1581251051.1276507091.0676585761.14171558900000011.2443593411.1883524961.2142390651.2392303771.3094320821.4794402051.6068328891.760650642.04768501400000021.72572429900000011.9182173252.12660837199999972.17772462.2133159642.182567122.1877846722.1897521022.2217919832.348029492.2042543491.995850006
ArgentinaARGLatin America & CaribbeanUpper middle incomeThe World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1971-2018. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.0.2939664240.683869410.7760943620.73112671400000010.73623721400000010.743940340.7301813120.71447330400000010.6944730130.6722451120.6641711110.6424199230.825841640.8948586031.03149512099999981.1033215231.2173666551.36242054400000011.6465299151.8876286672.2553242512.7331278323.2181537153.9409668455.4519639026.86654806100000059.29496574410.2568216314.2282262121.0961029729.1601470743.13540885