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: 247 | Hits | Percent |
Czech Republic | | Olomouc | 5,415 | 14.4 % |
Czech Republic | | Jihlava | 3,197 | 8.5 % |
Czech Republic | | Prague | 2,488 | 6.6 % |
Czech Republic | | DaÄice | 2,300 | 6.1 % |
China | | Xinjiang | 1,921 | 5.1 % |
China | | Fushun | 1,748 | 4.6 % |
Czech Republic | | Prague (praha 11) | 1,576 | 4.2 % |
China | | Zhengzhou | 1,401 | 3.7 % |
Czech Republic | | Prague (praha 3) | 1,397 | 3.7 % |
China | | Changsha | 1,086 | 2.8 % |
China | | Panjin | 1,018 | 2.7 % |
Czech Republic | | PoliÄka | 952 | 2.5 % |
Czech Republic | | Prague (praha 4) | 930 | 2.4 % |
China | | Liaoning | 773 | 2 % |
Czech Republic | | KadaÅský rohozec | 640 | 1.7 % |
Russian Federation | | Moscow | 479 | 1.2 % |
China | | Zhejiang | 475 | 1.2 % |
China | | Guangzhou | 474 | 1.2 % |
Czech Republic | | Kutná hora | 425 | 1.1 % |
Czech Republic | | Zdar | 361 | 0.9 % |
Czech Republic | | Prague (praha 8) | 327 | 0.8 % |
China | | Haidian (haidian qu) | 297 | 0.7 % |
China | | Jilin city (chuanying district) | 284 | 0.7 % |
Czech Republic | | Liberec (jeÅáb) | 280 | 0.7 % |
Czech Republic | | Brno (brno-bystrc) | 262 | 0.6 % |
United States | | Ashburn | 213 | 0.5 % |
United States | | Portland | 183 | 0.4 % |
Czech Republic | | Brno stÅed | 175 | 0.4 % |
Great Britain | | Leeds | 155 | 0.4 % |
Slovak Republic | | Bratislava (bratislavský) | 150 | 0.4 % |
United States | | Newark | 148 | 0.3 % |
Czech Republic | | Äeské budÄjovice | 142 | 0.3 % |
France | | Roubaix | 97 | 0.2 % |
Czech Republic | | Adamov | 95 | 0.2 % |
Czech Republic | | Ostrava (moravská ostrava a pÅÃvoz) | 94 | 0.2 % |
Turkey | | Ankara | 89 | 0.2 % |
China | | Luohe shi (wuyang xian) | 87 | 0.2 % |
China | | Huangpu qu | 87 | 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 | 0.2 % |
Czech Republic | | Moravská nová ves | 78 | 0.2 % |
Czech Republic | | VsetÃn | 77 | 0.2 % |
Czech Republic | | Praha 4 | 76 | 0.2 % |
United States | | Seattle (south lake union) | 73 | 0.1 % |
Czech Republic | | Brno | 71 | 0.1 % |
Czech Republic | | TÅeÅ¡Å¥ | 70 | 0.1 % |
Czech Republic | | LanÅ¡kroun (vnitÅnà mÄsto) | 70 | 0.1 % |
Czech Republic | | Železný brod | 70 | 0.1 % |
Netherlands | | Amsterdam (amsterdam-centrum) | 70 | 0.1 % |
Switzerland | | Zurich (city) | 66 | 0.1 % |
United States | | Dublin | 65 | 0.1 % |
United States | | Mahwah | 65 | 0.1 % |
Great Britain | | London | 54 | 0.1 % |
United States | | Los angeles | 51 | 0.1 % |
Netherlands | | Amsterdam | 48 | 0.1 % |
China | | Nanjing | 37 | 0 % |
Spain | | Madrid | 32 | 0 % |
China | | Suzhou | 31 | 0 % |
China | | 廽é¾æ¡¥ | 28 | 0 % |
United States | | Fairfield | 24 | 0 % |
Germany | | HaÃfurt | 24 | 0 % |
United States | | Boston (mit) | 22 | 0 % |
Japan | | Kurashiki (kanda) | 22 | 0 % |
China | | Chaoyang shi (shuangta qu) | 21 | 0 % |
Germany | | Hamburg (alsterdorf) | 19 | 0 % |
Indonesia | | Central jakarta | 14 | 0 % |
China | | æ°´ææ¹è¡é | 13 | 0 % |
China | | Chaowai (chaoyang qu) | 13 | 0 % |
Bulgaria | | Sofia | 13 | 0 % |
Ukraine | | Kyiv | 12 | 0 % |
Germany | | Frankfurt am main | 12 | 0 % |
United States | | Chicago (near south side) | 12 | 0 % |
Kazakhstan | | Oral | 12 | 0 % |
Germany | | Dresden | 11 | 0 % |
United States | | San jose | 10 | 0 % |
United States | | Marina del rey | 10 | 0 % |
United States | | New york | 9 | 0 % |
France | | Paris | 8 | 0 % |
China | | Jinan | 8 | 0 % |
Moldova | | Chisinau (râÅcani) | 8 | 0 % |
Canada | | Toronto (north york) | 8 | 0 % |
Luxembourg | | Bissen | 8 | 0 % |
Sweden | | Stockholm | 7 | 0 % |
China | | Henan | 7 | 0 % |
Russian Federation | | Vladivostok | 6 | 0 % |
Germany | | Nuremberg (mitte) | 6 | 0 % |
Singapore | | Singapore (downtown core) | 6 | 0 % |
United States | | San diego (clairemont) | 6 | 0 % |
Canada | | Montreal (ville-marie) | 6 | 0 % |
China | | Nanjing (xuanwu qu) | 6 | 0 % |
Taiwan | | Fenjihu | 6 | 0 % |
United States | | Chicago | 5 | 0 % |
Finland | | Tuusula | 5 | 0 % |
Australia | | South brisbane | 5 | 0 % |
Belarus | | Minsk | 5 | 0 % |
United States | | Buffalo (downtown) | 5 | 0 % |
Germany | | Falkenstein | 5 | 0 % |
China | | 西ä¸è·¯ | 5 | 0 % |
China | | Haikou | 4 | 0 % |
United States | | Columbus | 4 | 0 % |
China | | Quanzhou | 4 | 0 % |
United States | | Chester | 4 | 0 % |
China | | Shijiazhuang | 4 | 0 % |
Netherlands | | Lelystad | 4 | 0 % |
Canada | | Oakville (glen abbey) | 4 | 0 % |
Ukraine | | Kyiv (podil's'kyi district) | 4 | 0 % |
China | | Sanming | 4 | 0 % |
United States | | Boulder | 4 | 0 % |
China | | Zhangzhou | 4 | 0 % |
United Arab Emirates | | Dubai | 4 | 0 % |
Japan | | Tokyo | 4 | 0 % |
United States | | Andover | 4 | 0 % |
United States | | Santa clara | 4 | 0 % |
United States | | Secaucus | 3 | 0 % |
Vietnam | | Ho chi minh city | 3 | 0 % |
China | | Wenzhou (lucheng qu) | 3 | 0 % |
United States | | Burbank (north hollywood) | 3 | 0 % |
France | | Le kremlin-bicêtre | 3 | 0 % |
Czech Republic | | Praha 10 | 3 | 0 % |
Iran | | Tehran (shahrak-e shahīd fakūrī) | 3 | 0 % |
Iran | | Tehran | 3 | 0 % |
China | | Putian | 3 | 0 % |
China | | Lishui (liandu qu) | 3 | 0 % |
Australia | | Fairlight | 3 | 0 % |
United States | | Ann arbor (bryant pattengill east) | 3 | 0 % |
Panama | | Panama city | 3 | 0 % |
Finland | | Helsinki | 3 | 0 % |
United States | | Seattle (downtown) | 3 | 0 % |
China | | Nanchang | 3 | 0 % |
China | | Qingdao (jiaozhou shi) | 3 | 0 % |
United States | | Irving (las colinas) | 3 | 0 % |
India | | Coimbatore | 3 | 0 % |
China | | Fuzhou shi (yongtai xian) | 3 | 0 % |
United States | | Dallas (downtown) | 3 | 0 % |
Russian Federation | | â4 | 2 | 0 % |
United States | | Pittsburgh (east liberty) | 2 | 0 % |
United States | | North bergen | 2 | 0 % |
United States | | Denver | 2 | 0 % |
United States | | South brunswick township | 2 | 0 % |
China | | Hangzhou | 2 | 0 % |
China | | Shanghai | 2 | 0 % |
United States | | Washington d.c. | 2 | 0 % |
United States | | Evanston | 2 | 0 % |
Czech Republic | | Praha 2 | 2 | 0 % |
Australia | | Brisbane | 2 | 0 % |
United States | | Clifton | 2 | 0 % |
Sweden | | Tranemo municipality | 2 | 0 % |
Sweden | | Norrtälje | 2 | 0 % |
United States | | San francisco (south of market) | 2 | 0 % |
Morocco | | Rabat | 2 | 0 % |
United States | | Duluth (kenwood) | 2 | 0 % |
China | | Fuzhou (gulou qu) | 2 | 0 % |
United States | | Raleigh (downtown) | 2 | 0 % |
Brazil | | Juiz de fora | 2 | 0 % |
Canada | | Toronto (old toronto) | 2 | 0 % |
Italy | | Segrate | 2 | 0 % |
France | | Clichy-sous-bois | 2 | 0 % |
Sweden | | Dunker | 2 | 0 % |
Russian Federation | | Penza | 2 | 0 % |
India | | Bengaluru | 2 | 0 % |
United States | | Leawood | 2 | 0 % |
Australia | | Melbourne | 2 | 0 % |
United States | | Williamsville | 2 | 0 % |
China | | Shaoxing xian (zhuji shi) | 2 | 0 % |
China | | Beijing | 2 | 0 % |
Norway | | Oslo | 2 | 0 % |
United Arab Emirates | | Abu dhabi | 2 | 0 % |
United States | | Snoqualmie (snoqualmie ridge) | 2 | 0 % |
Belgium | | Zedelgem | 2 | 0 % |
United States | | Kansas city | 2 | 0 % |
United States | | Eugene (western) | 2 | 0 % |
United States | | Cincinnati (central business district) | 2 | 0 % |
Czech Republic | | Ktiš | 2 | 0 % |
United States | | Albany | 2 | 0 % |
Russian Federation | | Moscow (vostochnyy administrativnyy okrug) | 2 | 0 % |
China | | Jiaxing | 2 | 0 % |
Saudi Arabia | | Al jubayl | 2 | 0 % |
United States | | Provo (east bay) | 2 | 0 % |
Russian Federation | | Asbest | 2 | 0 % |
China | | Wenzhou | 2 | 0 % |
Singapore | | Singapore | 2 | 0 % |
Netherlands | | Heerlen | 2 | 0 % |
Germany | | Garching bei münchen | 2 | 0 % |
China | | Xining | 1 | 0 % |
China | | Zhongba | 1 | 0 % |
India | | Pune | 1 | 0 % |
France | | Strasbourg | 1 | 0 % |
Portugal | | Lisbon | 1 | 0 % |
Philippines | | Manila | 1 | 0 % |
Sweden | | Malmo (limhamn) | 1 | 0 % |
China | | Shanxi | 1 | 0 % |
Jordan | | Amman | 1 | 0 % |
Czech Republic | | MÄÅ¡ice | 1 | 0 % |
South Africa | | Sandton (edenburg) | 1 | 0 % |
China | | Quzhou | 1 | 0 % |
Israel | | Tel aviv | 1 | 0 % |
United States | | Wilmington | 1 | 0 % |
Canada | | Beauharnois | 1 | 0 % |
China | | Beijing (haidian qu) | 1 | 0 % |
China | | Yancheng | 1 | 0 % |
United States | | Seattle (pike pine retail core) | 1 | 0 % |
Great Britain | | Talbot green | 1 | 0 % |
New Zealand | | Auckland | 1 | 0 % |
Sweden | | Uppsala | 1 | 0 % |
United States | | Sioux falls | 1 | 0 % |
Germany | | Karlsruhe (nordweststadt) | 1 | 0 % |
China | | Xuzhou (tongshan qu) | 1 | 0 % |
United States | | Wilmington (mid-town brandywine) | 1 | 0 % |
Singapore | | Singapore (queenstown estate) | 1 | 0 % |
United States | | Jersey city | 1 | 0 % |
Great Britain | | London (isle of dogs) | 1 | 0 % |
Italy | | Messina | 1 | 0 % |
Poland | | Warsaw | 1 | 0 % |
United States | | Denver (denver tech center) | 1 | 0 % |
Czech Republic | | Brno (brno stÅed) | 1 | 0 % |
Hungary | | Budapest (xvii. kerület) | 1 | 0 % |
Singapore | | Singapore (pioneer) | 1 | 0 % |
Sweden | | Norrmalm | 1 | 0 % |
Nigeria | | Lagos (ikoyi) | 1 | 0 % |
United States | | Rosemont | 1 | 0 % |
Italy | | Ospedaletto | 1 | 0 % |
Russian Federation | | Kolomna | 1 | 0 % |
China | | Huai'an | 1 | 0 % |
China | | Shenzhen | 1 | 0 % |
Australia | | Sydney | 1 | 0 % |
China | | Deyang | 1 | 0 % |
Finland | | Turku | 1 | 0 % |
United States | | Pittsburgh (north side) | 1 | 0 % |
Czech Republic | | Stará ves nad ondÅejnicà | 1 | 0 % |
Ireland | | Dublin | 1 | 0 % |
Nigeria | | Ikeja | 1 | 0 % |
Netherlands | | The hague (centrum) | 1 | 0 % |
Canada | | Longueuil | 1 | 0 % |
India | | Meerut (phase i) | 1 | 0 % |
Czech Republic | | Brno-jih | 1 | 0 % |
Great Britain | | Cambridge | 1 | 0 % |
United States | | Los angeles (downtown) | 1 | 0 % |
Switzerland | | Bern | 1 | 0 % |
United States | | Jacksonville (southside estates) | 1 | 0 % |
China | | Fuzhou | 1 | 0 % |
Latvia | | Riga | 1 | 0 % |
Great Britain | | London (kemp house) | 1 | 0 % |
China | | Wuhan | 1 | 0 % |
United States | | Los angeles (central la) | 1 | 0 % |
China | | Jiaxing shi (pinghu shi) | 1 | 0 % |
Others/Unknown | 3099 | 8.2 % |
|
Advanced Web Statistics 7.6 (build 20161204) - Created by awstats (plugins: geoip, geoip_city_maxmind, tooltips, hostinfo)