> >
> >The following ranking, can be found in the page "Internet Corruption Ranking"
> >URL http://www.gwdg.de/~uwvw/icr.htm
> >
> >---begin here---
> >   The Internet Corruption Ranking - A Joint Initiative of Transparency
> >   International and Volkswirtschaftliches Seminar, University Goettingen
> >
> >                                 RANKING 1995
> >
> >
> >     _________________________________________________________________
> >
> >   The ranking for 1995 presents a list of 41 countries. Into the ranking
> >   three surveys (1992-1994) have been included from the World
> >   Competitiveness Report, Institute for Management Development,
> >   Lausanne, which asks associated institutes from different countries to
> >   evaluate the degree of "improper practices" of their home countries.
> >   Three more surveys (1992-1994) for Asia have been added from Political
> >   & Economic Risk Consultancy Ltd., Hong Kong. These surveys evaluate
> >   the degree of corruption by questioning senior asian banks executives.
> >   At last, the 1980 survey from Business International, New York, was
> >   added to the list. This survey rests on evaluations made by BI
> >   Correspondents.
> >
> >   The following list contains three figures for every country. The first
> >   number indicates the average score in the surveys. A "10" indicates a
> >   perfectly clean country whereas a "0" refers to a country where
> >   business transactions are entirely penetrated by corruption involving
> >   immense sums of kickbacks, extortion, fraud etc. The second number is
> >   the amount of surveys in which the particular country has been
> >   included (2-7). The third number is the variance of the rankings. A
> >   high number indicates a high degree of deviating opinions. A variance
> >   of 0,01 for Denmark (9,32) indicates that the majority of thescores
> >   value will range between 9,22 to 9,42 (take the square root of the
> >   variance and add (subtract) the value for the upper (lower) value for
> >   a 68% interval). For South Africa, on the other hand, the high
> >   variance of 2,35 indicates rankings between 4,1 and 7,1. Apparently,
> >   the evaluation is quite diversified in this case.
> >
> >
> >     _________________________________________________________________
> >
> >Ranking 1995
> >
> >        0=totally corrupt, 10=clean
> >
> >   Country          Score   #Surveys Variance
> >
> >   New Zealand      9,55        4     0,07
> >   Denmark          9,32        4     0,01
> >   Singapore        9,26        7     0,21
> >   Finland          9,12        4     0,07
> >   Canada           8,87        4     0,44
> >   Sweden           8,87        4     0,11
> >   Australia        8,80        4     0,54
> >   Switzerland      8,76        4     0,52
> >   Netherlands      8,69        4     0,63
> >   Norway           8,61        4     0,78
> >   Ireland          8,57        4     0,61
> >   United Kingdom   8,57        4     0,17
> >   Germany          8,14        4     0,63
> >   Chile            7,94        3     0,97
> >   USA              7,79        4     1,67
> >   Austria          7,13        4     0,36
> >   Hong Kong        7,12        7     0,48
> >   France           7,00        4     3,32
> >   Belgium/Lux.     6,85        4     3,08
> >   Japan            6,72        7     2,73
> >   South Africa     5,62        4     2,35
> >   Portugal         5,56        4     0,66
> >   Malaysia         5,28        7     0,36
> >   Argentina        5,24        2     5,86 
> >   Taiwan           5,08        7     1,03
> >   Spain            4,35        4     2,57
> >   Korea            4,29        7     1,29
> >   Hungary          4,12        3     0,69
> >   Turkey           4,10        4     1,33
> >   Greece           4,04        4     1,65
> >   Colombia         3,44        2     1,12
> >   Mexico           3,18        4     0,06
> >   Italy            2,99        4     6,92
> >   Thailand         2,79        7     1,69
> >   India            2,78        5     1,63
> >   Philippines      2,77        5     1,13
> >   Brazil           2,70        4     3,11
> >   Venezuela        2,66        4     3,18
> >   Pakistan         2,25        4     1,62
> >   China            2,16        4     0,08
> >   Indonesia        1,94        7     0,26
> >
> >   The correlation matrix gives an impression on how closely correlated
> >   the surveys are.
> >
> >---end here---
> >