A new visits is defined as each new incoming visitor (viewing or browsing a page) who was not connected to your site during last 60 mn.
Number of client hosts (IP address) who came to visit the site (and who viewed at least one page).
This data refers to the number of different physical persons who had reached the site.
Number of times a page of the site is viewed (Sum for all visitors for all visits).
This piece of data differs from "hits" in that it counts only HTML pages as oppose to images and other files.
Number of times a page, image, file of the site is viewed or downloaded by someone.
This piece of data is provided as a reference only, since the number of "pages" viewed is often prefered for marketing purposes.
This piece of information refers to the amount of data downloaded by all pages, images and files within your site.
Units are in KB, MB or GB (KiloBytes, MegaBytes or GigaBytes)
Awstats recognizes each access to your site after a search from the 1284 most popular Internet Search Engines and Directories (such as Yahoo, Altavista, Lycos, Google, Voila, etc...).
List of all external pages which were used to link (and enter) to your site (Only the 10 most often used external pages are shown).
Links used by the results of the search engines are excluded here because they have already been included on the previous line within this table.
This table shows the list of the most frequent keyphrases or keywords used to find your site from Internet Search Engines and Directories.
(Keywords from the 1284 most popular Search Engines and Directories are recognized by Awstats, such as Yahoo, Altavista, Lycos, Google, Voila, etc...).
Note that total number of searches for keywords might be greater than total number of searches for keyphrases (real number of searches) because when 2 keywords were used on same search, search is counted twice for keywords (once for each word).
Robots (sometimes refer to Spiders) are automatic computer visitors used by many search engines that scan your web site to index it and rank it, collect statistics on Internet Web sites and/or see if your site is still online.
Awstats is able to recognize up to 1068 robots.
All time related statistics are based on server time.
Here, reported data are: average values (calculated from all data between the first and last visit in analyzed range).
Here, reported data are: cumulative sums (calculated from all data between the first and last visit in analyzed range).
Some Visits durations are 'unknown' because they can't always be calculated. This is the major reason for this:
- Visit was not finished when 'update' occured.
- Visit started the last hour (after 23:00) of the last day of a month (A technical reason prevents Awstats from calculating duration of such sessions)
Worms are automatic computer visitors that are in fact external servers, infected by a virus, that try
to make particular hits on your server to infect it. In most cases, such worms exploit some bugs of not up to date
or commercial servers. If your system is not the sensitive target of the worm, you can simply ignore those hits.
There is very few 'server worms' in the world but they are very active at some times.
Awstats is able to recognize 0 known worm's signatures (nimda,code red,...).
No description for this error.
Request was understood by server but will be processed later.
Server has processed the request but there is no document to send.
Partial content.
Requested document was moved and is now at another address given in answer.
No description for this error.
Syntax error, server didn't understand request.
Tried to reach an URL where a login/password pair was required.
A high number within this item could mean that someone (such as a hacker) is attempting to crack, or enter into your site (hoping to enter a secured area by trying different login/password pairs, for instance).
Tried to reach an URL not configured to be reachable, even with an login/password pair (for example, an URL within a directory not defined as "browsable".).
Tried to reach a non existing URL. This error often means that there is an invalid link somewhere in your site or that a visitor mistyped a certain URL.
Server has taken too much time to respond to a request. This error frequently involves either a slow CGI script which the server was required to kill or an extremely congested web server.
Internal error. This error is often caused by a CGI program that had finished abnormally (coredump for example).
Unknown requested action.
Code returned by a HTTP server that works as a proxy or gateway when a real, targeted server doesn't answer successfully to the client's request.
Internal server error.
Gateway Time-out.
HTTP Version Not Supported.
GeoIP Cities | |
Countries | Regions | Cities: 252 | Hits | Percent |
Czech Republic | | Olomouc | 5,500 | 13.1 % |
Czech Republic | | Jihlava | 3,643 | 8.7 % |
China | | Xinjiang | 3,162 | 7.5 % |
Czech Republic | | Prague | 2,580 | 6.1 % |
Czech Republic | | DaÄice | 2,433 | 5.8 % |
China | | Fushun | 1,914 | 4.5 % |
Czech Republic | | Prague (praha 11) | 1,659 | 3.9 % |
China | | Zhengzhou | 1,652 | 3.9 % |
Czech Republic | | Prague (praha 3) | 1,576 | 3.7 % |
China | | Panjin | 1,323 | 3.1 % |
China | | Changsha | 1,128 | 2.7 % |
Czech Republic | | PoliÄka | 952 | 2.2 % |
Czech Republic | | Prague (praha 4) | 930 | 2.2 % |
China | | Liaoning | 867 | 2 % |
China | | Guangzhou | 660 | 1.5 % |
Czech Republic | | KadaÅský rohozec | 640 | 1.5 % |
Russian Federation | | Moscow | 525 | 1.2 % |
China | | Zhejiang | 475 | 1.1 % |
Czech Republic | | Kutná hora | 425 | 1 % |
Czech Republic | | Prague (praha 8) | 412 | 0.9 % |
Czech Republic | | Zdar | 361 | 0.8 % |
China | | Haidian (haidian qu) | 297 | 0.7 % |
China | | Jilin city (chuanying district) | 284 | 0.6 % |
Czech Republic | | Liberec (jeÅáb) | 283 | 0.6 % |
Czech Republic | | Brno (brno-bystrc) | 262 | 0.6 % |
China | | Huangpu qu | 238 | 0.5 % |
United States | | Ashburn | 225 | 0.5 % |
United States | | Portland | 183 | 0.4 % |
Czech Republic | | Brno stÅed | 181 | 0.4 % |
China | | Luohe shi (wuyang xian) | 172 | 0.4 % |
Czech Republic | | Adamov | 170 | 0.4 % |
United States | | Newark | 168 | 0.4 % |
Great Britain | | Leeds | 155 | 0.3 % |
Slovak Republic | | Bratislava (bratislavský) | 150 | 0.3 % |
Czech Republic | | Äeské budÄjovice | 142 | 0.3 % |
Turkey | | Ankara | 114 | 0.2 % |
France | | Roubaix | 97 | 0.2 % |
Czech Republic | | Ostrava (moravská ostrava a pÅÃvoz) | 94 | 0.2 % |
Czech Republic | | Praha 6 | 86 | 0.2 % |
United States | | Atlanta (downtown) | 86 | 0.2 % |
Russian Federation | | Chelyabinsk | 86 | 0.2 % |
Czech Republic | | Opava | 85 | 0.2 % |
Czech Republic | | Veselà nad moravou | 79 | 0.1 % |
Czech Republic | | Moravská nová ves | 78 | 0.1 % |
Czech Republic | | VsetÃn | 77 | 0.1 % |
Czech Republic | | Praha 4 | 76 | 0.1 % |
United States | | Seattle (south lake union) | 73 | 0.1 % |
Czech Republic | | Brno | 71 | 0.1 % |
Czech Republic | | Železný brod | 70 | 0.1 % |
Netherlands | | Amsterdam (amsterdam-centrum) | 70 | 0.1 % |
Czech Republic | | TÅeÅ¡Å¥ | 70 | 0.1 % |
Czech Republic | | LanÅ¡kroun (vnitÅnà mÄsto) | 70 | 0.1 % |
Switzerland | | Zurich (city) | 66 | 0.1 % |
United States | | Mahwah | 65 | 0.1 % |
United States | | Los angeles | 65 | 0.1 % |
United States | | Dublin | 65 | 0.1 % |
Netherlands | | Amsterdam | 62 | 0.1 % |
Great Britain | | London | 54 | 0.1 % |
China | | Nanjing | 37 | 0 % |
Spain | | Madrid | 33 | 0 % |
China | | Suzhou | 31 | 0 % |
China | | 廽é¾æ¡¥ | 28 | 0 % |
Japan | | Kurashiki (kanda) | 24 | 0 % |
United States | | Fairfield | 24 | 0 % |
Germany | | HaÃfurt | 24 | 0 % |
United States | | Boston (mit) | 22 | 0 % |
China | | Chaoyang shi (shuangta qu) | 21 | 0 % |
Germany | | Hamburg (alsterdorf) | 19 | 0 % |
Bulgaria | | Sofia | 16 | 0 % |
Indonesia | | Central jakarta | 15 | 0 % |
United States | | Chicago (near south side) | 14 | 0 % |
China | | æ°´ææ¹è¡é | 13 | 0 % |
China | | Chaowai (chaoyang qu) | 13 | 0 % |
Germany | | Frankfurt am main | 12 | 0 % |
Ukraine | | Kyiv | 12 | 0 % |
Kazakhstan | | Oral | 12 | 0 % |
Germany | | Dresden | 11 | 0 % |
United States | | San jose | 11 | 0 % |
United States | | Marina del rey | 10 | 0 % |
Luxembourg | | Bissen | 9 | 0 % |
United States | | New york | 9 | 0 % |
Moldova | | Chisinau (râÅcani) | 8 | 0 % |
France | | Paris | 8 | 0 % |
China | | Jinan | 8 | 0 % |
Canada | | Toronto (north york) | 8 | 0 % |
Singapore | | Singapore (downtown core) | 7 | 0 % |
Sweden | | Stockholm | 7 | 0 % |
China | | Henan | 7 | 0 % |
Finland | | Tuusula | 6 | 0 % |
Russian Federation | | Vladivostok | 6 | 0 % |
Germany | | Nuremberg (mitte) | 6 | 0 % |
China | | Nanjing (xuanwu qu) | 6 | 0 % |
Canada | | Montreal (ville-marie) | 6 | 0 % |
Taiwan | | Fenjihu | 6 | 0 % |
United States | | San diego (clairemont) | 6 | 0 % |
Australia | | South brisbane | 5 | 0 % |
United States | | Chicago | 5 | 0 % |
Belarus | | Minsk | 5 | 0 % |
United States | | Buffalo (downtown) | 5 | 0 % |
Germany | | Falkenstein | 5 | 0 % |
United States | | Andover | 5 | 0 % |
China | | 西ä¸è·¯ | 5 | 0 % |
United States | | Santa clara | 4 | 0 % |
Singapore | | Singapore (pioneer) | 4 | 0 % |
Ukraine | | Kyiv (podil's'kyi district) | 4 | 0 % |
Japan | | Tokyo | 4 | 0 % |
China | | Quanzhou | 4 | 0 % |
China | | Haikou | 4 | 0 % |
United States | | Ann arbor (bryant pattengill east) | 4 | 0 % |
China | | Shijiazhuang | 4 | 0 % |
United States | | Boulder | 4 | 0 % |
Iran | | Tehran (shahrak-e shahīd fakūrī) | 4 | 0 % |
United Arab Emirates | | Dubai | 4 | 0 % |
China | | Sanming | 4 | 0 % |
Canada | | Oakville (glen abbey) | 4 | 0 % |
Netherlands | | Lelystad | 4 | 0 % |
China | | Zhangzhou | 4 | 0 % |
United States | | Chester | 4 | 0 % |
United States | | Columbus | 4 | 0 % |
China | | Nanchang | 3 | 0 % |
United States | | Burbank (north hollywood) | 3 | 0 % |
China | | Qingdao (jiaozhou shi) | 3 | 0 % |
United States | | Jacksonville (southeast jacksonville) | 3 | 0 % |
Great Britain | | Royal tunbridge wells | 3 | 0 % |
France | | Le kremlin-bicêtre | 3 | 0 % |
Iran | | Tehran | 3 | 0 % |
Czech Republic | | Praha 10 | 3 | 0 % |
United States | | Secaucus | 3 | 0 % |
China | | Putian | 3 | 0 % |
China | | Fuzhou shi (yongtai xian) | 3 | 0 % |
Panama | | Panama city | 3 | 0 % |
Russian Federation | | â4 | 3 | 0 % |
China | | Wenzhou (lucheng qu) | 3 | 0 % |
United States | | Dallas (downtown) | 3 | 0 % |
Vietnam | | Ho chi minh city | 3 | 0 % |
China | | Lishui (liandu qu) | 3 | 0 % |
Sweden | | Dunker | 3 | 0 % |
India | | Coimbatore | 3 | 0 % |
United States | | Seattle (downtown) | 3 | 0 % |
Australia | | Fairlight | 3 | 0 % |
United States | | Irving (las colinas) | 3 | 0 % |
France | | Clichy-sous-bois | 3 | 0 % |
Finland | | Helsinki | 3 | 0 % |
Russian Federation | | Moscow (vostochnyy administrativnyy okrug) | 2 | 0 % |
United States | | Denver | 2 | 0 % |
United States | | Eugene (western) | 2 | 0 % |
United States | | Albany | 2 | 0 % |
Sweden | | Tranemo municipality | 2 | 0 % |
Netherlands | | Heerlen | 2 | 0 % |
United States | | Kansas city | 2 | 0 % |
United States | | Washington d.c. | 2 | 0 % |
Saudi Arabia | | Al jubayl | 2 | 0 % |
United States | | Leawood | 2 | 0 % |
United States | | Snoqualmie (snoqualmie ridge) | 2 | 0 % |
China | | Jiaxing | 2 | 0 % |
Russian Federation | | Asbest | 2 | 0 % |
United States | | Clifton | 2 | 0 % |
United States | | Duluth (kenwood) | 2 | 0 % |
United States | | North bergen | 2 | 0 % |
Russian Federation | | Penza | 2 | 0 % |
Sweden | | Norrtälje | 2 | 0 % |
Brazil | | Juiz de fora | 2 | 0 % |
Italy | | Segrate | 2 | 0 % |
Great Britain | | London (kemp house) | 2 | 0 % |
Belgium | | Zedelgem | 2 | 0 % |
Australia | | Brisbane | 2 | 0 % |
China | | Wenzhou | 2 | 0 % |
Germany | | Garching bei münchen | 2 | 0 % |
United States | | San francisco (south of market) | 2 | 0 % |
United Arab Emirates | | Abu dhabi | 2 | 0 % |
China | | Fuzhou (gulou qu) | 2 | 0 % |
Singapore | | Singapore | 2 | 0 % |
India | | Bengaluru | 2 | 0 % |
China | | Shanghai | 2 | 0 % |
United States | | Raleigh (downtown) | 2 | 0 % |
China | | Shaoxing xian (zhuji shi) | 2 | 0 % |
Morocco | | Rabat | 2 | 0 % |
United States | | South brunswick township | 2 | 0 % |
United States | | Cincinnati (central business district) | 2 | 0 % |
Norway | | Oslo | 2 | 0 % |
United States | | Williamsville | 2 | 0 % |
Canada | | Toronto (old toronto) | 2 | 0 % |
United States | | Pittsburgh (east liberty) | 2 | 0 % |
Australia | | Melbourne | 2 | 0 % |
United States | | Evanston | 2 | 0 % |
China | | Hangzhou | 2 | 0 % |
Czech Republic | | Praha 2 | 2 | 0 % |
Czech Republic | | Ktiš | 2 | 0 % |
China | | Beijing | 2 | 0 % |
United States | | Provo (east bay) | 2 | 0 % |
Finland | | Turku | 1 | 0 % |
Canada | | Longueuil | 1 | 0 % |
Czech Republic | | Brno-jih | 1 | 0 % |
Singapore | | Singapore (queenstown estate) | 1 | 0 % |
United States | | Jersey city | 1 | 0 % |
Czech Republic | | MÄÅ¡ice | 1 | 0 % |
United States | | Rosemont | 1 | 0 % |
Czech Republic | | Stará ves nad ondÅejnicà | 1 | 0 % |
Switzerland | | Bern | 1 | 0 % |
South Africa | | Sandton (edenburg) | 1 | 0 % |
United States | | Wilmington (mid-town brandywine) | 1 | 0 % |
Russian Federation | | Kolomna | 1 | 0 % |
China | | Xining | 1 | 0 % |
Greece | | Marousi | 1 | 0 % |
Netherlands | | The hague (centrum) | 1 | 0 % |
Jordan | | Amman | 1 | 0 % |
Canada | | Beauharnois | 1 | 0 % |
Nigeria | | Lagos (ikoyi) | 1 | 0 % |
Sweden | | Norrmalm | 1 | 0 % |
China | | Yancheng | 1 | 0 % |
Israel | | Tel aviv | 1 | 0 % |
China | | Shenzhen | 1 | 0 % |
Sweden | | Malmo (limhamn) | 1 | 0 % |
China | | Beijing (haidian qu) | 1 | 0 % |
India | | Meerut (phase i) | 1 | 0 % |
Hungary | | Budapest (xvii. kerület) | 1 | 0 % |
Sweden | | Uppsala | 1 | 0 % |
Italy | | Ospedaletto | 1 | 0 % |
United States | | Los angeles (downtown) | 1 | 0 % |
China | | Quzhou | 1 | 0 % |
France | | Strasbourg | 1 | 0 % |
Germany | | Karlsruhe (nordweststadt) | 1 | 0 % |
United States | | Seattle (pike pine retail core) | 1 | 0 % |
Czech Republic | | Brno (brno stÅed) | 1 | 0 % |
Great Britain | | London (isle of dogs) | 1 | 0 % |
India | | Chakradharpur | 1 | 0 % |
United States | | Pittsburgh (north side) | 1 | 0 % |
Great Britain | | Cambridge | 1 | 0 % |
Ireland | | Dublin | 1 | 0 % |
China | | Deyang | 1 | 0 % |
China | | Jiaxing shi (pinghu shi) | 1 | 0 % |
China | | Shanxi | 1 | 0 % |
United States | | Jacksonville (southside estates) | 1 | 0 % |
China | | Xuzhou (tongshan qu) | 1 | 0 % |
United States | | Los angeles (central la) | 1 | 0 % |
United States | | Sioux falls | 1 | 0 % |
Portugal | | Lisbon | 1 | 0 % |
China | | Zhongba | 1 | 0 % |
Latvia | | Riga | 1 | 0 % |
Philippines | | Manila | 1 | 0 % |
Nigeria | | Ikeja | 1 | 0 % |
India | | Pune | 1 | 0 % |
United States | | Denver (denver tech center) | 1 | 0 % |
Italy | | Messina | 1 | 0 % |
China | | Wuhan | 1 | 0 % |
United States | | Wilmington | 1 | 0 % |
Poland | | Warsaw | 1 | 0 % |
China | | Huai'an | 1 | 0 % |
Great Britain | | Talbot green | 1 | 0 % |
Australia | | Sydney | 1 | 0 % |
New Zealand | | Auckland | 1 | 0 % |
China | | Fuzhou | 1 | 0 % |
Others/Unknown | 3396 | 8.1 % |
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Advanced Web Statistics 7.6 (build 20161204) - Created by awstats (plugins: geoip, geoip_city_maxmind, tooltips, hostinfo)