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 (1986) by country

VIEW DATA:   Totals  
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Showing values for 1986. Select another time period:
Rank   Countries  Amount  Date  
# 1     Mongolia: 1.46   1986 Time series
# 2     Iran: 1.21   1986 Time series
# 3     Japan: 1.18   1986 Time series
# 4     Mozambique: 1.14   1986 Time series
# 5     Sweden: 1.12   1986 Time series
# 6     Switzerland: 1.11   1986 Time series
# 7     Denmark: 1.05   1986 Time series
# 8     Norway: 1.05   1986 Time series
# 9     Finland: 1.03   1986 Time series
# 10     United States: 1   1986 Time series
# 11     France: 0.98   1986 Time series
# 12     Iceland: 0.97   1986 Time series
# 13     Germany: 0.97   1986 Time series
# 14     Luxembourg: 0.95   1986 Time series
# 15     United Arab Emirates: 0.92   1986 Time series
# 16     Kuwait: 0.92   1986 Time series
# 17     Sudan: 0.92   1986 Time series
# 18     Netherlands: 0.91   1986 Time series
# 19     Ireland: 0.9   1986 Time series
# 20     Canada: 0.9   1986 Time series
# 21     Bahamas, The: 0.89   1986 Time series
# 22     Congo, Republic of the: 0.88   1986 Time series
# 23     Austria: 0.88   1986 Time series
# 24     Australia: 0.87   1986 Time series
# 25     Bahrain: 0.87   1986 Time series
# 26     Belgium: 0.84   1986 Time series
# 27     Gabon: 0.82   1986 Time series
# 28     Singapore: 0.81   1986 Time series
# 29     Italy: 0.8   1986 Time series
# 30     Venezuela: 0.78   1986 Time series
# 31     Antigua and Barbuda: 0.76   1986 Time series
# 32     Trinidad and Tobago: 0.73   1986 Time series
# 33     New Zealand: 0.72   1986 Time series
# 34     Saint Lucia: 0.72   1986 Time series
# 35     United Kingdom: 0.71   1986 Time series
# 36     Laos: 0.68   1986 Time series
# 37     Panama: 0.68   1986 Time series
# 38     Algeria: 0.67   1986 Time series
# 39     Cyprus: 0.66   1986 Time series
# 40     Suriname: 0.66   1986 Time series
# 41     Syria: 0.65   1986 Time series
# 42     Hong Kong: 0.65   1986 Time series
# 43     Saudi Arabia: 0.64   1986 Time series
# 44     Jordan: 0.63   1986 Time series
# 45     Jamaica: 0.63   1986 Time series
# 46     Côte d'Ivoire: 0.63   1986 Time series
# 47     Fiji: 0.61   1986 Time series
# 48     Belize: 0.61   1986 Time series
# 49     Spain: 0.61   1986 Time series
# 50     Vietnam: 0.6   1986 Time series
# 51     Oman: 0.6   1986 Time series
# 52     Israel: 0.58   1986 Time series
# 53     Dominica: 0.57   1986 Time series
# 54     Malta: 0.56   1986 Time series
# 55     Malaysia: 0.55   1986 Time series
# 56     Senegal: 0.54   1986 Time series
# 57     Angola: 0.54   1986 Time series
# 58     Korea, South: 0.53   1986 Time series
# 59     Saint Kitts and Nevis: 0.53   1986 Time series
# 60     Bulgaria: 0.51   1986 Time series
# 61     Cameroon: 0.51   1986 Time series
# 62     Greece: 0.5   1986 Time series
# 63     Grenada: 0.5   1986 Time series
# 64     Argentina: 0.49   1986 Time series
# 65     Papua New Guinea: 0.48   1986 Time series
# 66     Costa Rica: 0.48   1986 Time series
# 67     Ecuador: 0.48   1986 Time series
# 68     Uganda: 0.48   1986 Time series
# 69     Kenya: 0.47   1986 Time series
# 70     Portugal: 0.47   1986 Time series
# 71     Saint Vincent and the Grenadines: 0.47   1986 Time series
# 72     Nigeria: 0.47   1986 Time series
# 73     Bolivia: 0.46   1986 Time series
# 74     Honduras: 0.46   1986 Time series
# 75     São Tomé and Príncipe: 0.46   1986 Time series
# 76     Guatemala: 0.45   1986 Time series
# 77     Madagascar: 0.45   1986 Time series
# 78     Seychelles: 0.44   1986 Time series
# 79     Benin: 0.44   1986 Time series
# 80     Vanuatu: 0.44   1986 Time series
# 81     Chile: 0.43   1986 Time series
# 82     Macau: 0.43   1986 Time series
# 83     Niger: 0.43   1986 Time series
# 84     Mali: 0.42   1986 Time series
# 85     Turkey: 0.42   1986 Time series
# 86     Uruguay: 0.42   1986 Time series
# 87     Burkina Faso: 0.41   1986 Time series
# 88     Slovakia: 0.4   1986 Time series
# 89     Brazil: 0.4   1986 Time series
# 90     Malawi: 0.39   1986 Time series
# 91     Central African Republic: 0.39   1986 Time series
# 92     Egypt: 0.39   1986 Time series
# 93     Botswana: 0.39   1986 Time series
# 94     Ghana: 0.39   1986 Time series
# 95     Tunisia: 0.39   1986 Time series
# 96     Indonesia: 0.38   1986 Time series
# 97     South Africa: 0.38   1986 Time series
# 98     Burundi: 0.38   1986 Time series
# 99     Ethiopia: 0.38   1986 Time series
# 100     Rwanda: 0.38   1986 Time series
# 101     Zimbabwe: 0.37   1986 Time series
# 102     Thailand: 0.37   1986 Time series
# 103     Equatorial Guinea: 0.36   1986 Time series
# 104     Guyana: 0.35   1986 Time series
# 105     Solomon Islands: 0.34   1986 Time series
# 106     Morocco: 0.34   1986 Time series
# 107     Mauritius: 0.34   1986 Time series
# 108     Pakistan: 0.32   1986 Time series
# 109     Namibia: 0.32   1986 Time series
# 110     El Salvador: 0.32   1986 Time series
# 111     Paraguay: 0.32   1986 Time series
# 112     Mauritania: 0.32   1986 Time series
# 113     Zambia: 0.32   1986 Time series
# 114     Chad: 0.32   1986 Time series
# 115     Mexico: 0.32   1986 Time series
# 116     India: 0.31   1986 Time series
# 117     Dominican Republic: 0.31   1986 Time series
# 118     Nicaragua: 0.31   1986 Time series
# 119     Albania: 0.3   1986 Time series
# 120     China: 0.3   1986 Time series
# 121     Colombia: 0.3   1986 Time series
# 122     Cape Verde: 0.3   1986 Time series
# 123     Swaziland: 0.29   1986 Time series
# 124     Micronesia, Federated States of: 0.29   1986 Time series
# 125     Comoros: 0.29   1986 Time series
# 126     Guinea: 0.28   1986 Time series
# 127     Bangladesh: 0.28   1986 Time series
# 128     Togo: 0.28   1986 Time series
# 129     Hungary: 0.28   1986 Time series
# 130     Sri Lanka: 0.25   1986 Time series
# 131     Peru: 0.25   1986 Time series
# 132     Nepal: 0.24   1986 Time series
# 133     Philippines: 0.23   1986 Time series
# 134     Guinea-Bissau: 0.22   1986 Time series
# 135     Haiti: 0.22   1986 Time series
# 136     Sierra Leone: 0.21   1986 Time series
# 137     Congo, Democratic Republic of the: 0.2   1986 Time series
# 138     Gambia, The: 0.2   1986 Time series
# 139     Tonga: 0.19   1986 Time series
# 140     Samoa: 0.19   1986 Time series
# 141     Lesotho: 0.18   1986 Time series
# 142     Kiribati: 0.12   1986 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 (1986) 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=1986

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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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