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Germany: Gross national income per capita, Atlas method (US $)

The data set Gross national income per capita, Atlas method for Germany contains data from the year 1962 to 2021.

In Germany in the year 2021 51,660 US $

Definition: GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.
Survey by: Weltbank
Database: World Development Indicators
Source: http://data.worldbank.org/indicator/NY.GNP.PCAP.CD

All countries: Gross national income per capita, Atlas method (US $)

Land Gross national income per capita, Atlas method (US $)
Bermuda 122,470
Liechtenstein 116,600
Switzerland 90,600
Luxembourg 88,190
Isle of Man 84,580
Norway 83,880
Ireland 76,110
United States 70,930
Denmark 68,300
Singapore 64,010
Iceland 63,460
Qatar 62,310
Cayman Islands 61,880
Sweden 59,540
Australia 57,170
Netherlands 55,200
Hong Kong 54,460
Finland 53,510
Austria 52,760
Germany 51,660
All data sets...

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