FACTOID # 1: ‘Dollar’ is the most common currency name, followed by ‘franc,’ ‘pound,’ ‘dinar,’ ‘peso,’ and ‘rupee.’
 
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Currency Statistics > PPP conversion factor to official exchange rate ratio (1996) by country

VIEW DATA:   Totals  
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Showing values for 1996. Select another time period:
Rank   Countries  Amount  Date  
# 1     Switzerland: 1.58   1996 Time series
# 2     Japan: 1.52   1996 Time series
# 3     Sweden: 1.44   1996 Time series
# 4     Denmark: 1.44   1996 Time series
# 5     Luxembourg: 1.4   1996 Time series
# 6     Germany: 1.36   1996 Time series
# 7     Singapore: 1.31   1996 Time series
# 8     France: 1.25   1996 Time series
# 9     Norway: 1.25   1996 Time series
# 10     Austria: 1.24   1996 Time series
# 11     Finland: 1.24   1996 Time series
# 12     Belgium: 1.19   1996 Time series
# 13     Iceland: 1.18   1996 Time series
# 14     Netherlands: 1.17   1996 Time series
# 15     Hong Kong: 1.1   1996 Time series
# 16     Australia: 1.08   1996 Time series
# 17     Lebanon: 1.06   1996 Time series
# 18     Ireland: 1.05   1996 Time series
# 19     New Zealand: 1.03   1996 Time series
# 20     Italy: 1.02   1996 Time series
# 21     United States: 1   1996 Time series
# 22     Bahamas, The: 0.92   1996 Time series
# 23     Canada: 0.92   1996 Time series
# 24     Korea, South: 0.91   1996 Time series
# 25     United Kingdom: 0.91   1996 Time series
# 26     United Arab Emirates: 0.89   1996 Time series
# 27     Spain: 0.88   1996 Time series
# 28     Antigua and Barbuda: 0.87   1996 Time series
# 29     Israel: 0.86   1996 Time series
# 30     Kuwait: 0.85   1996 Time series
# 31     Cyprus: 0.84   1996 Time series
# 32     Greece: 0.84   1996 Time series
# 33     Congo, Republic of the: 0.81   1996 Time series
# 34     Portugal: 0.8   1996 Time series
# 35     Gabon: 0.8   1996 Time series
# 36     Macau: 0.79   1996 Time series
# 37     Slovenia: 0.78   1996 Time series
# 38     Uruguay: 0.77   1996 Time series
# 39     Jamaica: 0.75   1996 Time series
# 40     Saint Lucia: 0.75   1996 Time series
# 41     Bahrain: 0.74   1996 Time series
# 42     Brazil: 0.72   1996 Time series
# 43     Argentina: 0.7   1996 Time series
# 44     Panama: 0.68   1996 Time series
# 45     Dominica: 0.67   1996 Time series
# 46     Chile: 0.65   1996 Time series
# 47     Saudi Arabia: 0.65   1996 Time series
# 48     Trinidad and Tobago: 0.64   1996 Time series
# 49     Belize: 0.63   1996 Time series
# 50     Malaysia: 0.63   1996 Time series
# 51     Malta: 0.62   1996 Time series
# 52     Saint Kitts and Nevis: 0.62   1996 Time series
# 53     Oman: 0.61   1996 Time series
# 54     Fiji: 0.59   1996 Time series
# 55     Ecuador: 0.58   1996 Time series
# 56     Croatia: 0.58   1996 Time series
# 57     Saint Vincent and the Grenadines: 0.56   1996 Time series
# 58     Grenada: 0.56   1996 Time series
# 59     Venezuela: 0.54   1996 Time series
# 60     Peru: 0.54   1996 Time series
# 61     Côte d'Ivoire: 0.53   1996 Time series
# 62     Yemen: 0.52   1996 Time series
# 63     Seychelles: 0.51   1996 Time series
# 64     Poland: 0.5   1996 Time series
# 65     Costa Rica: 0.5   1996 Time series
# 66     Turkey: 0.5   1996 Time series
# 67     Angola: 0.49   1996 Time series
# 68     Botswana: 0.49   1996 Time series
# 69     Mexico: 0.49   1996 Time series
# 70     Thailand: 0.48   1996 Time series
# 71     Estonia: 0.48   1996 Time series
# 72     Uzbekistan: 0.48   1996 Time series
# 73     Mauritius: 0.48   1996 Time series
# 74     Russia: 0.46   1996 Time series
# 75     Hungary: 0.45   1996 Time series
# 76     Vanuatu: 0.45   1996 Time series
# 77     Bolivia: 0.45   1996 Time series
# 78     Zambia: 0.45   1996 Time series
# 79     Guatemala: 0.44   1996 Time series
# 80     Czech Republic: 0.44   1996 Time series
# 81     Tanzania: 0.44   1996 Time series
# 82     South Africa: 0.44   1996 Time series
# 83     El Salvador: 0.44   1996 Time series
# 84     Papua New Guinea: 0.44   1996 Time series
# 85     Macedonia, Republic of: 0.44   1996 Time series
# 86     Kenya: 0.43   1996 Time series
# 87     Tunisia: 0.43   1996 Time series
# 88     Belarus: 0.43   1996 Time series
# 89     Slovakia: 0.42   1996 Time series
# 90     Cameroon: 0.42   1996 Time series
# 91     Jordan: 0.42   1996 Time series
# 92     Colombia: 0.42   1996 Time series
# 93     Georgia: 0.42   1996 Time series
# 94     Morocco: 0.42   1996 Time series
# 95     Nigeria: 0.42   1996 Time series
# 96     Suriname: 0.41   1996 Time series
# 97     Paraguay: 0.41   1996 Time series
# 98     Benin: 0.41   1996 Time series
# 99     Malawi: 0.41   1996 Time series
# 100     Solomon Islands: 0.41   1996 Time series
# 101     Latvia: 0.4   1996 Time series
# 102     Djibouti: 0.4   1996 Time series
# 103     Kazakhstan: 0.39   1996 Time series
# 104     Indonesia: 0.39   1996 Time series
# 105     Namibia: 0.39   1996 Time series
# 106     Senegal: 0.39   1996 Time series
# 107     Mali: 0.38   1996 Time series
# 108     Mongolia: 0.38   1996 Time series
# 109     Sierra Leone: 0.37   1996 Time series
# 110     Dominican Republic: 0.37   1996 Time series
# 111     Egypt: 0.37   1996 Time series
# 112     Madagascar: 0.37   1996 Time series
# 113     Swaziland: 0.37   1996 Time series
# 114     Equatorial Guinea: 0.36   1996 Time series
# 115     Iran: 0.36   1996 Time series
# 116     Algeria: 0.35   1996 Time series
# 117     Albania: 0.34   1996 Time series
# 118     Cape Verde: 0.34   1996 Time series
# 119     Lithuania: 0.33   1996 Time series
# 120     Samoa: 0.33   1996 Time series
# 121     Mauritania: 0.33   1996 Time series
# 122     Philippines: 0.33   1996 Time series
# 123     Micronesia, Federated States of: 0.32   1996 Time series
# 124     Kyrgyzstan: 0.32   1996 Time series
# 125     Laos: 0.32   1996 Time series
# 126     Burkina Faso: 0.31   1996 Time series
# 127     Tonga: 0.31   1996 Time series
# 128     Niger: 0.3   1996 Time series
# 129     Syria: 0.3   1996 Time series
# 130     Moldova: 0.3   1996 Time series
# 131     Guinea: 0.29   1996 Time series
# 132     Central African Republic: 0.29   1996 Time series
# 133     Mozambique: 0.29   1996 Time series
# 134     Chad: 0.29   1996 Time series
# 135     Uganda: 0.29   1996 Time series
# 136     Comoros: 0.29   1996 Time series
# 137     Pakistan: 0.29   1996 Time series
# 138     Armenia: 0.28   1996 Time series
# 139     Nicaragua: 0.28   1996 Time series
# 140     Rwanda: 0.28   1996 Time series
# 141     Sri Lanka: 0.27   1996 Time series
# 142     Guyana: 0.27   1996 Time series
# 143     Bangladesh: 0.27   1996 Time series
# 144     Haiti: 0.27   1996 Time series
# 145     Tajikistan: 0.27   1996 Time series
# 146     Zimbabwe: 0.27   1996 Time series
# 147     Romania: 0.26   1996 Time series
# 148     Honduras: 0.26   1996 Time series
# 149     China: 0.25   1996 Time series
# 150     Sudan: 0.24   1996 Time series
# 151     Togo: 0.24   1996 Time series
# 152     Gambia, The: 0.24   1996 Time series
# 153     Azerbaijan: 0.24   1996 Time series
# 154     Ukraine: 0.24   1996 Time series
# 155     Lesotho: 0.23   1996 Time series
# 156     Bulgaria: 0.23   1996 Time series
# 157     Ghana: 0.23   1996 Time series
# 158     Cambodia: 0.23   1996 Time series
# 159     Guinea-Bissau: 0.22   1996 Time series
# 160     Burundi: 0.22   1996 Time series
# 161     Turkmenistan: 0.21   1996 Time series
# 162     São Tomé and Príncipe: 0.21   1996 Time series
# 163     India: 0.21   1996 Time series
# 164     Vietnam: 0.21   1996 Time series
# 165     Eritrea: 0.19   1996 Time series
# 166     Ethiopia: 0.19   1996 Time series
# 167     Nepal: 0.18   1996 Time series
# 168     Congo, Democratic Republic of the: 0.17   1996 Time series
# 169     Kiribati: 0.17   1996 Time series
Weighted average: 0.5  


DEFINITION: Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States. Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to the U.S. dollar). The ratio of the PPP conversion factor to the official exchange rate (also referred to as the national price level) makes it possible to compare the cost of the bundle of goods that make up gross domestic product (GDP) across countries. It tells how many dollars are needed to buy a dollar's worth of goods in the country as compared to the United States.

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CITATION

"PPP conversion factor to official exchange rate ratio (1996) by country", World Development Indicators database. Retrieved from http://www.NationMaster.com/graph/cur_ppp_con_fac_to_off_exc_rat_rat-factor-official-exchange-rate-ratio&date=1996

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COMMENTARY     

Andras
30th March 2011
The definition is wrong.

"DEFINITION: Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States."

Hungary's conversion factor is 0.61, for example. According to the above definition, I'd need 0.61 Hungarian forints to buy the same amount of goods / services in the domestic market that a USD would buy in the US. But 0.61 forints is worth absolutely nothing --it's less than 1 cent.

The definition should read:

DEFINITION: Purchasing power parity conversion factor is the number of units of ***U.S. dollars*** required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States.
je
13th June 2010
I don't understand it.
When I look at the IMF and world bank data I receive different numbers and different factors than the one here.
Are you sure this is correct numbers???

shaft (malaysia)
8th February 2009
i want the PPP conversion factor to official exchange rate ratio for UAE from 2006 to
thank you
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