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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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_Name
Name of the country
string
required : 1
Country_Code
ISO 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 communications
string
required : 1
Region_Name
Name of the region
string
-
Income_Group
Country's income group
string
-
Special_Notes
Special notes, if any.
string
-
Year_1990
PPP rates in 1990
number
level : Ratio
Year_1991
PPP rates in 1991
number
level : Ratio
Year_1992
PPP rates in 1992
number
level : Ratio
Year_1993
PPP rates in 1993
number
level : Ratio
Year_1994
PPP rates in 1994
number
level : Ratio
Year_1995
PPP rates in 1995
number
level : Ratio
Year_1996
PPP rates in 1996
number
level : Ratio
Year_1997
PPP rates in 1997
number
level : Ratio
Year_1998
PPP rates in 1998
number
level : Ratio
Year_1999
PPP rates in 1999
number
level : Ratio
Year_2000
PPP rates in 2000
number
level : Ratio
Year_2001
PPP rates in 2001
number
level : Ratio
Year_2002
PPP rates in 2002
number
level : Ratio
Year_2003
PPP rates in 2003
number
level : Ratio
Year_2004
PPP rates in 2004
number
level : Ratio
Year_2005
PPP rates in 2005
number
level : Ratio
Year_2006
PPP rates in 2006
number
level : Ratio
Year_2007
PPP rates in 2007
number
level : Ratio
Year_2008
PPP rates in 2008
number
level : Ratio
Year_2009
PPP rates in 2009
number
level : Ratio
Year_2010
PPP rates in 2010
number
level : Ratio
Year_2011
PPP rates in 2011
number
level : Ratio
Year_2012
PPP rates in 2012
number
level : Ratio
Year_2013
PPP rates in 2013
number
level : Ratio
Year_2014
PPP rates in 2014
number
level : Ratio
Year_2015
PPP rates in 2015
number
level : Ratio
Year_2016
PPP rates in 2016
number
level : Ratio
Year_2017
PPP rates in 2017
number
level : Ratio
Year_2018
PPP rates in 2018
number
level : Ratio
Year_2019
PPP rates in 2019
number
level : Ratio
Year_2020
PPP rates in 2020
number
level : Ratio
Year_2021
PPP rates in 2021
number
level : Ratio
Data Preview
Country Name
Country Code
Region Name
Income Group
Special Notes
Year 1990
Year 1991
Year 1992
Year 1993
Year 1994
Year 1995
Year 1996
Year 1997
Year 1998
Year 1999
Year 2000
Year 2001
Year 2002
Year 2003
Year 2004
Year 2005
Year 2006
Year 2007
Year 2008
Year 2009
Year 2010
Year 2011
Year 2012
Year 2013
Year 2014
Year 2015
Year 2016
Year 2017
Year 2018
Year 2019
Year 2020
Year 2021
Aruba
ABW
Latin America & Caribbean
High income
0.923503961
0.943452107
0.9576891409999999
0.9850994790000001
1.02515096
1.037992711
1.05255402
1.073039308
1.131053857
1.13976271
1.125965439
1.163141655
1.1962185140000001
1.208620168
1.210183322
1.2327906020000001
1.2375699009999999
1.267157699
1.296327415
1.310018108
1.278712418
1.302940607
1.317801356
1.285140991
1.308842778
1.36231792
1.355044603
1.35068965
1.3490309169999999
1.39912938
1.3423377419999998
Africa Eastern and Southern
AFE
26 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)
Afghanistan
AFG
South Asia
Low income
The 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 (âalternative conversion factorâ - 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.
9.197497571
10.07073193
10.91290085
11.73578736
12.20416522
14.56000189
14.58548181
14.17905751
14.54513393
16.61347791
17.24226389
17.50941886
17.035877600000003
17.02252002
17.44582794
17.20555805
17.15217774
17.94968476
19.12317027
Africa Western and Central
AFW
22 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)
Angola
AGO
Sub-Saharan Africa
Lower middle income
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 (âalternative conversion factorâ - 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-08
2.1e-08
1.2e-07
1.19e-06
2.6521999999999998e-05
0.000500193
0.024071383
0.04625068400000001
0.063737268
0.413249595
2.093286971
4.224369133
10.08598106
19.180843799999998
24.92647907
34.40985493
39.09308104
39.70435908
46.50154685
38.46037871
50.04631883
64.60575104
65.68167114
66.01937103
65.00067139
68.18204498
80.77896881
92.95172119
116.3537554
136.2384621
158.8964033
220.2687153
Albania
ALB
Europe & Central Asia
Upper middle income
2.337756064
3.0643630739999996
9.976503362999999
21.990804327
29.248278248000002
31.46617306
35.41216384
38.72458627
40.71854095
41.10158587
42.02528491
42.82387709
42.92607163
44.59321895
44.89849271
45.52738677
44.41223692
44.63496475
44.56115577
44.33806985
44.19621436
43.85768488
43.65524832
44.11373867
42.89392984
42.70570052
42.38572688
42.25557249
42.30291357
42.34307289
42.49789526
42.9692589
Andorra
AND
Europe & Central Asia
High income
Arab World
ARB
Arab World aggregate. Arab World is composed of members of the League of Arab States.
United Arab Emirates
ARE
Middle East & North Africa
High income
1.168284522
1.139231451
1.133973151
1.121873527
1.095534585
1.114962716
1.158125105
1.127650709
1.067658576
1.1417155890000001
1.244359341
1.188352496
1.214239065
1.239230377
1.309432082
1.479440205
1.606832889
1.76065064
2.0476850140000002
1.7257242990000001
1.918217325
2.1266083719999997
2.1777246
2.213315964
2.18256712
2.187784672
2.189752102
2.221791983
2.34802949
2.204254349
1.995850006
Argentina
ARG
Latin America & Caribbean
Upper middle income
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 (âalternative conversion factorâ - 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.