The statistics are drawn from a table of roughly 2300 lines of data, 2260 unique hosts, with about 8100 hits counted for a particular host/day.
Most information about geographical location have been fetched from hostip.info
Also, the raw data this information is gathered from is parsed for "Received:" header tags, obvious fakes are discarded, my own incoming servers are filtered out. The remaining mass of ip's are fed into the database with hitcounts, for resolving of hostnames and country code.
All servers found (minus the filtered ones) are in part of the spam transportation so the data should be more or less accurate.
CN | China, Peoples Republic of | 3956 | 49.0941% |
US | United States of America | 954 | 11.8392% |
XX | (Unresolvable) | 790 | 9.8039% |
KR | Korea, Republic of | 376 | 4.6662% |
DE | Germany | 374 | 4.6414% |
BR | Brazil | 177 | 2.1966% |
PE | Peru | 153 | 1.8987% |
JP | Japan | 146 | 1.8119% |
FR | France | 117 | 1.4520% |
PL | Poland | 117 | 1.4520% |
RU | Russia, Federate States of | 98 | 1.2162% |
ES | Spain | 97 | 1.2038% |
TW | Taiwan | 65 | 0.8067% |
MX | Mexico | 46 | 0.5709% |
IN | India | 42 | 0.5212% |
UK | United Kingdom | 38 | 0.4716% |
AU | Australia | 34 | 0.4219% |
ZA | South Africa | 32 | 0.3971% |
NL | Nederlands, The | 32 | 0.3971% |
TR | Turkey | 32 | 0.3971% |
PH | Philippines | 29 | 0.3599% |
CA | Canada | 28 | 0.3475% |
MY | Malaysia | 28 | 0.3475% |
IL | Israel | 20 | 0.2482% |
NO | Norway | 20 | 0.2482% |
PT | Portugal | 18 | 0.2234% |
EU | European Union | 16 | 0.1986% |
IT | Italy | 16 | 0.1986% |
VN | Vietnam | 14 | 0.1737% |
SG | Singapore | 14 | 0.1737% |
SE | Sweden | 13 | 0.1613% |
HU | Hungary | 11 | 0.1365% |
AR | Argentina | 10 | 0.1241% |
Now... you can draw your own conclusions.
I will continue to measure/analyze this flow of spam and publish the results on my web site.