Usage Statistics for archive.ics.uci.edu

Summary Period: March 2016
Generated 01-Apr-2016 06:38 PDT

[Daily Statistics] [Hourly Statistics] [URLs] [Entry] [Exit] [Sites] [Referrers] [Search] [Users] [Agents] [Countries]

Monthly Statistics for March 2016
Total Hits 9499943
Total Files 8714059
Total Pages 2077530
Total Visits 262054
Total KBytes 74276584701
Total Unique Sites 168765
Total Unique URLs 13035
Total Unique Referrers 12916
Total Unique Usernames 2
Total Unique User Agents 12259
. Avg Max
Hits per Hour 12768 29945
Hits per Day 306449 477496
Files per Day 281098 446782
Pages per Day 67017 206629
Sites per Day 5444 11011
Visits per Day 8453 11104
KBytes per Day 2396018861 9684578466
Hits by Response Code
Code 200 - OK 91.73% 8714059
Code 206 - Partial Content 2.20% 208870
Code 301 - Moved Permanently 0.25% 23407
Code 302 - Found 0.03% 3134
Code 304 - Not Modified 1.82% 172425
Code 400 - Bad Request 0.00% 62
Code 403 - Forbidden 0.00% 23
Code 404 - Not Found 3.82% 363321
Code 405 - Method Not Allowed 0.03% 2510
Code 406 - Not Acceptable 0.00% 402
Code 416 - Requested Range Not Satisfiable 0.00% 45
Code 500 - Internal Server Error 0.12% 11684
Code 501 - Not Implemented 0.00% 1

Daily usage for March 2016

Daily Statistics for March 2016
Day Hits Files Pages Visits Sites KBytes
1 427990 4.51% 358000 4.11% 66327 3.19% 10463 3.99% 10571 6.26% 1217042396 1.64%
2 361593 3.81% 333996 3.83% 58689 2.82% 9941 3.79% 10176 6.03% 1462877287 1.97%
3 326023 3.43% 301100 3.46% 55244 2.66% 9278 3.54% 10052 5.96% 1759166296 2.37%
4 276898 2.91% 255353 2.93% 46143 2.22% 8240 3.14% 8209 4.86% 2159797468 2.91%
5 249541 2.63% 232347 2.67% 47327 2.28% 6917 2.64% 7085 4.20% 1049223745 1.41%
6 320946 3.38% 298139 3.42% 56529 2.72% 8147 3.11% 8740 5.18% 539155710 0.73%
7 386401 4.07% 358854 4.12% 67922 3.27% 10251 3.91% 10645 6.31% 2363568078 3.18%
8 394819 4.16% 362484 4.16% 69956 3.37% 10297 3.93% 10660 6.32% 712500398 0.96%
9 422385 4.45% 379884 4.36% 80736 3.89% 10888 4.15% 10682 6.33% 1954245248 2.63%
10 380270 4.00% 352232 4.04% 64124 3.09% 10590 4.04% 10203 6.05% 1002985640 1.35%
11 302017 3.18% 275871 3.17% 54257 2.61% 8533 3.26% 8743 5.18% 9397760374 12.65%
12 417713 4.40% 395948 4.54% 206629 9.95% 7758 2.96% 7113 4.21% 4908283255 6.61%
13 425277 4.48% 401452 4.61% 187770 9.04% 8356 3.19% 8431 5.00% 5385309870 7.25%
14 477496 5.03% 446782 5.13% 132061 6.36% 10674 4.07% 10494 6.22% 8074700973 10.87%
15 468417 4.93% 436577 5.01% 138353 6.66% 10629 4.06% 10614 6.29% 2397996485 3.23%
16 461839 4.86% 424344 4.87% 144253 6.94% 10161 3.88% 10175 6.03% 4372607162 5.89%
17 417117 4.39% 391316 4.49% 102970 4.96% 10265 3.92% 9846 5.83% 425895869 0.57%
18 334841 3.52% 295988 3.40% 63543 3.06% 8634 3.29% 8469 5.02% 9684578466 13.04%
19 241462 2.54% 219775 2.52% 44674 2.15% 6929 2.64% 7281 4.31% 2807443511 3.78%
20 306933 3.23% 268837 3.09% 49776 2.40% 8531 3.26% 8760 5.19% 2501287542 3.37%
21 389282 4.10% 357190 4.10% 59931 2.88% 11104 4.24% 11011 6.52% 2965850967 3.99%
22 268950 2.83% 249300 2.86% 43384 2.09% 8785 3.35% 9677 5.73% 332967718 0.45%
23 123658 1.30% 112642 1.29% 20411 0.98% 6050 2.31% 8027 4.76% 492725132 0.66%
24 105252 1.11% 95561 1.10% 19900 0.96% 5236 2.00% 7131 4.23% 2655950170 3.58%
25 76446 0.80% 69936 0.80% 14478 0.70% 4320 1.65% 5894 3.49% 289210497 0.39%
26 229203 2.41% 207985 2.39% 36029 1.73% 6693 2.55% 7073 4.19% 289958193 0.39%
27 293559 3.09% 269347 3.09% 50927 2.45% 8241 3.14% 8420 4.99% 1007542286 1.36%
28 170903 1.80% 156555 1.80% 26264 1.26% 7128 2.72% 8743 5.18% 504020666 0.68%
29 143918 1.51% 131704 1.51% 22614 1.09% 6885 2.63% 9102 5.39% 354540076 0.48%
30 133002 1.40% 121720 1.40% 20288 0.98% 6616 2.52% 8915 5.28% 509957176 0.69%
31 165792 1.75% 152840 1.75% 26021 1.25% 6803 2.60% 8802 5.22% 697436050 0.94%

Hourly usage for March 2016

Hourly Statistics for March 2016
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 15287 473922 4.99% 13849 429346 4.93% 3461 107318 5.17% 233402954 7235491586 9.74%
1 15353 475946 5.01% 13932 431893 4.96% 3313 102720 4.94% 218279488 6766664127 9.11%
2 13536 419617 4.42% 12396 384298 4.41% 2785 86335 4.16% 150637916 4669775383 6.29%
3 13720 425337 4.48% 12449 385929 4.43% 3260 101064 4.86% 243774641 7557013867 10.17%
4 13614 422058 4.44% 12420 385022 4.42% 3311 102648 4.94% 222127321 6885946945 9.27%
5 14542 450809 4.75% 13171 408327 4.69% 3370 104493 5.03% 261964831 8120909766 10.93%
6 15415 477872 5.03% 14069 436146 5.01% 3509 108796 5.24% 187137680 5801268088 7.81%
7 15044 466372 4.91% 13985 433536 4.98% 3109 96401 4.64% 84672963 2624861846 3.53%
8 14898 461838 4.86% 13748 426204 4.89% 3111 96459 4.64% 58910988 1826240629 2.46%
9 13450 416965 4.39% 12447 385875 4.43% 2708 83959 4.04% 46556948 1443265378 1.94%
10 12877 399213 4.20% 12068 374135 4.29% 2634 81673 3.93% 20085481 622649923 0.84%
11 12409 384693 4.05% 11717 363235 4.17% 2716 84216 4.05% 18772048 581933478 0.78%
12 12025 372805 3.92% 11332 351302 4.03% 2491 77233 3.72% 14816266 459304255 0.62%
13 11098 344047 3.62% 10417 322934 3.71% 2244 69572 3.35% 13639131 422813048 0.57%
14 9723 301437 3.17% 9108 282361 3.24% 2198 68167 3.28% 15214209 471640486 0.63%
15 8809 273088 2.87% 8292 257059 2.95% 2092 64853 3.12% 12724037 394445151 0.53%
16 9534 295576 3.11% 8955 277630 3.19% 2299 71271 3.43% 22812269 707180342 0.95%
17 10343 320656 3.38% 9569 296656 3.40% 2332 72296 3.48% 29023624 899732345 1.21%
18 12201 378241 3.98% 10927 338742 3.89% 2590 80292 3.86% 31033235 962030285 1.30%
19 12460 386260 4.07% 10995 340869 3.91% 2576 79885 3.85% 91601633 2839650617 3.82%
20 12374 383623 4.04% 11058 342811 3.93% 2763 85666 4.12% 67115285 2080573844 2.80%
21 11862 367746 3.87% 10905 338057 3.88% 2681 83119 4.00% 89612216 2777978700 3.74%
22 11978 371323 3.91% 10831 335786 3.85% 2507 77743 3.74% 72540743 2248763045 3.03%
23 13887 430499 4.53% 12448 385906 4.43% 2946 91351 4.40% 189562954 5876451566 7.91%

Top 100 of 13035 Total URLs
# Hits KBytes URL
1 876156 9.22% 42731996 0.06% /ml/datasets.html
2 240761 2.53% 926736035 1.25% /ml/machine-learning-databases/adult/adult.data
3 96080 1.01% 1787660 0.00% /ml/
4 83448 0.88% 368410 0.00% /ml/machine-learning-databases/iris/iris.data
5 54812 0.58% 763531 0.00% /ml//datasets.html
6 41105 0.43% 79530678 0.11% /ml/machine-learning-databases/00195/Test_Arabic_Digit.txt
7 30904 0.33% 841584503 1.13% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
8 24894 0.26% 1958 0.00% /
9 23435 0.25% 1603282 0.00% /ml/datasets/Iris
10 19125 0.20% 1224501 0.00% /ml/machine-learning-databases/
11 17135 0.18% 6199337 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
12 16815 0.18% 651785 0.00% /ml/datasets/Adult
13 13329 0.14% 20771 0.00% /ml/machine-learning-databases/iris/
14 10731 0.11% 111164 0.00% /ml/machine-learning-databases/wine/wine.data
15 10107 0.11% 1207545 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
16 10079 0.11% 87603 0.00% /ml/datasets/Wine+Quality
17 9933 0.10% 344569 0.00% /ml/datasets/Wine
18 9652 0.10% 16908 0.00% /ml/machine-learning-databases/adult/
19 9369 0.10% 491447 0.00% /ml/datasets/Heart+Disease
20 8993 0.09% 201558 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
21 8950 0.09% 176775 0.00% /ml/datasets/Car+Evaluation
22 8393 0.09% 13529006969 18.21% /ml/machine-learning-databases/00340/data.zip
23 7973 0.08% 19526 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
24 7615 0.08% 81742 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
25 6885 0.07% 268691 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
26 6752 0.07% 64996 0.00% /ml/datasets/default+of+credit+card+clients
27 6688 0.07% 187277 0.00% /ml/datasets/Abalone
28 6681 0.07% 70860 0.00% /ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
29 6524 0.07% 207507 0.00% /ml/datasets/Housing
30 6184 0.07% 19937296269 26.84% /ml/machine-learning-databases/00251/WTD_upload.zip
31 6162 0.06% 66932 0.00% /ml/datasets/Bank+Marketing
32 5859 0.06% 461558 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
33 5726 0.06% 6645021823 8.95% /ml/machine-learning-databases/00269/dir_data.tar
34 5674 0.06% 177911457 0.24% /ml/machine-learning-databases/00288/leaf.zip
35 5626 0.06% 7617 0.00% /ml/machine-learning-databases/wine/
36 5589 0.06% 23825 0.00% /ml/machine-learning-databases/heart-disease/
37 5543 0.06% 275437 0.00% /ml/machine-learning-databases/car/car.data
38 5518 0.06% 469862368 0.63% /ml/machine-learning-databases/00256/data.zip
39 5367 0.06% 174721649 0.24% /ml/machine-learning-databases/00328/ghg_data.zip
40 5346 0.06% 15351 0.00% /ml/machine-learning-databases/iris/iris.names
41 4976 0.05% 94554 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
42 4947 0.05% 6553412 0.01% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
43 4929 0.05% 54743 0.00% /ml/datasets/Student+Performance
44 4908 0.05% 6686 0.00% /ml/machine-learning-databases/car/
45 4900 0.05% 6584 0.00% /ml/machine-learning-databases/wine-quality/
46 4845 0.05% 47502 0.00% /ml/datasets/Forest+Fires
47 4828 0.05% 75441015 0.10% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
48 4753 0.05% 43868 0.00% /ml/datasets/Poker+Hand
49 4713 0.05% 23759 0.00% /ml/machine-learning-databases/adult/adult.names
50 4511 0.05% 26749645 0.04% /ml/machine-learning-databases/00337/sNewsListWResults3yr.zip
51 4498 0.05% 72873 0.00% /ml/datasets/Statlog+(German+Credit+Data)
52 4413 0.05% 19377 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
53 4297 0.05% 36787 0.00% /ml/datasets/Online+Retail
54 4215 0.04% 1994710 0.00% /ml/machine-learning-databases/00222/bank.zip
55 4176 0.04% 40975 0.00% /ml/datasets/Internet+Advertisements
56 4168 0.04% 6905727 0.01% /ml/machine-learning-databases/adult/adult.test
57 4154 0.04% 36147 0.00% /ml/datasets/Perfume+Data
58 4093 0.04% 1251880539 1.69% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
59 4062 0.04% 156187 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
60 4047 0.04% 3911 0.00% /ml/machine-learning-databases/00192/
61 4045 0.04% 59065992 0.08% /ml/machine-learning-databases/00352/Online Retail.xlsx
62 4042 0.04% 116563 0.00% /ml/datasets/Pima+Indians+Diabetes
63 3984 0.04% 711115 0.00% /ml/machine-learning-databases/abalone/abalone.data
64 3942 0.04% 48392 0.00% /ml/datasets/Spambase
65 3873 0.04% 2566715 0.00% /ml/machine-learning-databases/spambase/spambase.data
66 3867 0.04% 61897 0.00% /ml/datasets/Auto+MPG
67 3830 0.04% 5253 0.00% /ml/machine-learning-databases/abalone/
68 3780 0.04% 73123772 0.10% /ml/machine-learning-databases/00349/OULAD.zip
69 3727 0.04% 145634 0.00% /ml/datasets/Mushroom
70 3713 0.04% 25244074 0.03% /ml/machine-learning-databases/00260/nysk.xml.zip
71 3618 0.04% 3273450822 4.41% /ml/machine-learning-databases/00347/not1000_train.csv.gz
72 3616 0.04% 2376119187 3.20% /ml/machine-learning-databases/00280/HIGGS.csv.gz
73 3598 0.04% 169063 0.00% /ml/machine-learning-databases/housing/housing.data
74 3578 0.04% 150689 0.00% /ml/datasets/Diabetes
75 3538 0.04% 14278042 0.02% /ml/machine-learning-databases/00350/default of credit card clients.xls
76 3476 0.04% 237332 0.00% /ml/datasets/Breast+Cancer
77 3355 0.04% 40863 0.00% /ml/datasets/Automobile
78 3342 0.04% 1480211149 1.99% /ml/machine-learning-databases/00347/not1000_test.csv.gz
79 3314 0.03% 34528 0.00% /ml/datasets/Credit+Approval
80 3237 0.03% 3785 0.00% /ml/machine-learning-databases/00222/
81 3215 0.03% 29418 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
82 3211 0.03% 8867074826 11.94% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
83 3205 0.03% 39886 0.00% /ml/datasets/Online+News+Popularity
84 3161 0.03% 24940 0.00% /ml/datasets/Open+University+Learning+Analytics+dataset
85 3147 0.03% 4302 0.00% /ml/machine-learning-databases/housing/
86 3144 0.03% 62019 0.00% /ml/datasets/Letter+Recognition
87 3097 0.03% 740708 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
88 3046 0.03% 2996 0.00% /ml/machine-learning-databases/00356/
89 3019 0.03% 3011 0.00% /ml/machine-learning-databases/00350/
90 2942 0.03% 8499 0.00% /ml/machine-learning-databases/wine/wine.names
91 2935 0.03% 30607 0.00% /ml/datasets/Bike+Sharing+Dataset
92 2871 0.03% 73463390 0.10% /ml/machine-learning-databases/00341/HAPT Data Set.zip
93 2871 0.03% 47773900 0.06% /ml/machine-learning-databases/poker/poker-hand-testing.data
94 2827 0.03% 23356 0.00% /ml/datasets/Bag+of+Words
95 2805 0.03% 64639 0.00% /ml/datasets/Census+Income
96 2805 0.03% 23715 0.00% /ml/datasets/Wholesale+customers
97 2797 0.03% 2721447 0.00% /ml/machine-learning-databases/00193/CTG.xls
98 2765 0.03% 23082 0.00% /ml/datasets/Energy+efficiency
99 2729 0.03% 208031 0.00% /ml/machine-learning-databases/statlog/german/german.data
100 2601 0.03% 1169262048 1.57% /ml/machine-learning-databases/00347/1000_test.csv.gz

Top 100 of 13035 Total URLs By KBytes
# Hits KBytes URL
1 6184 0.07% 19937296269 26.84% /ml/machine-learning-databases/00251/WTD_upload.zip
2 8393 0.09% 13529006969 18.21% /ml/machine-learning-databases/00340/data.zip
3 3211 0.03% 8867074826 11.94% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
4 5726 0.06% 6645021823 8.95% /ml/machine-learning-databases/00269/dir_data.tar
5 3618 0.04% 3273450822 4.41% /ml/machine-learning-databases/00347/not1000_train.csv.gz
6 3616 0.04% 2376119187 3.20% /ml/machine-learning-databases/00280/HIGGS.csv.gz
7 2325 0.02% 2138741903 2.88% /ml/machine-learning-databases/00347/all_train.csv.gz
8 2367 0.02% 2105672056 2.83% /ml/machine-learning-databases/00347/1000_train.csv.gz
9 3342 0.04% 1480211149 1.99% /ml/machine-learning-databases/00347/not1000_test.csv.gz
10 4093 0.04% 1251880539 1.69% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
11 2601 0.03% 1169262048 1.57% /ml/machine-learning-databases/00347/1000_test.csv.gz
12 1498 0.02% 1154040791 1.55% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
13 2388 0.03% 1088043779 1.46% /ml/machine-learning-databases/00347/all_test.csv.gz
14 911 0.01% 938007166 1.26% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
15 240761 2.53% 926736035 1.25% /ml/machine-learning-databases/adult/adult.data
16 30904 0.33% 841584503 1.13% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
17 1536 0.02% 540846973 0.73% /ml/machine-learning-databases/00344/Activity recognition exp.zip
18 569 0.01% 508441843 0.68% /ml/machine-learning-databases/bag-of-words//docword.pubmed.txt.gz
19 1075 0.01% 498576641 0.67% /ml/machine-learning-databases/00279/SUSY.csv.gz
20 5518 0.06% 469862368 0.63% /ml/machine-learning-databases/00256/data.zip
21 834 0.01% 401821475 0.54% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
22 2197 0.02% 357654444 0.48% /ml/machine-learning-databases/00322/data.zip
23 1497 0.02% 329888327 0.44% /ml/machine-learning-databases/00339/train.csv.zip
24 2084 0.02% 300833824 0.41% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
25 1137 0.01% 212830263 0.29% /ml/machine-learning-databases/00318/NoisyOffice.zip
26 515 0.01% 199358183 0.27% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
27 5674 0.06% 177911457 0.24% /ml/machine-learning-databases/00288/leaf.zip
28 5367 0.06% 174721649 0.24% /ml/machine-learning-databases/00328/ghg_data.zip
29 239 0.00% 171723674 0.23% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
30 1265 0.01% 151030776 0.20% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
31 437 0.00% 125732706 0.17% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
32 1072 0.01% 121729986 0.16% /ml/machine-learning-databases/url/url_svmlight.tar.gz
33 1258 0.01% 100971358 0.14% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
34 41105 0.43% 79530678 0.11% /ml/machine-learning-databases/00195/Test_Arabic_Digit.txt
35 4828 0.05% 75441015 0.10% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
36 2871 0.03% 73463390 0.10% /ml/machine-learning-databases/00341/HAPT Data Set.zip
37 3780 0.04% 73123772 0.10% /ml/machine-learning-databases/00349/OULAD.zip
38 1051 0.01% 71742973 0.10% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
39 409 0.00% 69800527 0.09% /ml/machine-learning-databases/p53/p53_new_2012.zip
40 2572 0.03% 69193967 0.09% /ml/machine-learning-databases/00210/donation.zip
41 949 0.01% 62624694 0.08% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
42 493 0.01% 59693405 0.08% /ml/machine-learning-databases/00306/dataset_segmentation.rar
43 4045 0.04% 59065992 0.08% /ml/machine-learning-databases/00352/Online Retail.xlsx
44 932 0.01% 53069854 0.07% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
45 2871 0.03% 47773900 0.06% /ml/machine-learning-databases/poker/poker-hand-testing.data
46 876156 9.22% 42731996 0.06% /ml/datasets.html
47 1394 0.01% 38291827 0.05% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
48 1198 0.01% 27898467 0.04% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
49 4511 0.05% 26749645 0.04% /ml/machine-learning-databases/00337/sNewsListWResults3yr.zip
50 3713 0.04% 25244074 0.03% /ml/machine-learning-databases/00260/nysk.xml.zip
51 1208 0.01% 24150151 0.03% /ml/machine-learning-databases/00248/regression.tar.gz
52 2365 0.02% 22179113 0.03% /ml/machine-learning-databases/00235/household_power_consumption.zip
53 557 0.01% 19356977 0.03% /ml/machine-learning-databases/00239/corpus.zip
54 372 0.00% 18217831 0.02% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
55 285 0.00% 16339435 0.02% /ml/machine-learning-databases/00268/Data.zip
56 1142 0.01% 15680746 0.02% /ml/machine-learning-databases/00246/3D_spatial_network.txt
57 192 0.00% 15440329 0.02% /ml/machine-learning-databases/00258/MultiLingualReuters.tar.bz2
58 262 0.00% 15174476 0.02% /ml/machine-learning-databases/p53/p53_old_2010.zip
59 258 0.00% 14554092 0.02% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
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# Hits User Agent
1 526675 5.54% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
2 494213 5.20% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
3 465505 4.90% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
4 415388 4.37% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
5 381161 4.01% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
6 275670 2.90% Java/1.8.0_60
7 261488 2.75% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
8 204540 2.15% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
9 174556 1.84% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
10 162109 1.71% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/601.4.4 (KHTML, like Gecko) Version/9.0.3 Safari/601.4.4
11 138268 1.46% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
12 137784 1.45% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
13 131416 1.38% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
14 131267 1.38% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
15 115978 1.22% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
16 96309 1.01% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:44.0) Gecko/20100101 Firefox/44.0
17 94376 0.99% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
18 93812 0.99% crawler4j (http://code.google.com/p/crawler4j/)
19 93480 0.98% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.105
20 84212 0.89% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
21 78749 0.83% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
22 78156 0.82% IR W16 WebCrawler 26487676 44241928
23 76776 0.81% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
24 76569 0.81% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
25 70685 0.74% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
26 63330 0.67% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
27 62296 0.66% Mozilla/5.0 (Windows NT 6.1; rv:44.0) Gecko/20100101 Firefox/44.0
28 61323 0.65% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
29 60754 0.64% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
30 59966 0.63% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
31 58236 0.61% IR W16 WebCrawler 44241928 26487676
32 53913 0.57% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.4.4 (KHTML, like Gecko) Version/9.0.3 Safari/601.4.4
33 53695 0.57% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
34 50763 0.53% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
35 42465 0.45% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
36 41894 0.44% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
37 40905 0.43% Mozilla/5.0 (Linux; Android 4.4.2; PGN-404 Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/30.0.0.0 M
38 40425 0.43% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
39 39496 0.42% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
40 38211 0.40% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
41 37147 0.39% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr 1
42 35739 0.38% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0
43 35419 0.37% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
44 34349 0.36% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)
45 33876 0.36% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
46 32798 0.35% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
47 32470 0.34% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
48 32469 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:44.0) Gecko/20100101 Firefox/44.0
49 31933 0.34% Python-urllib/2.7
50 31614 0.33% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
51 30952 0.33% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
52 29670 0.31% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
53 27365 0.29% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36
54 26483 0.28% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36
55 25521 0.27% Mozilla/5.0 (iPhone; CPU iPhone OS 9_2_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13D15 Saf
56 24686 0.26% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
57 23537 0.25% Mozilla/5.0 Gecko/20100115 Firefox/3.6
58 23521 0.25% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
59 22689 0.24% IR W16 WebCrawler 38167788 64085416 35765394
60 22596 0.24% Mozilla/4.0 (compatible;)
61 21998 0.23% Mozilla/5.0 (Windows NT 6.1; rv:45.0) Gecko/20100101 Firefox/45.0
62 21945 0.23% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:43.0) Gecko/20100101 Firefox/43.0
63 21844 0.23% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36
64 21381 0.23% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
65 21212 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9
66 21142 0.22% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media C
67 20434 0.22% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
68 20385 0.21% IR W16 WebCrawler 26487676
69 20220 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/601.5.17 (KHTML, like Gecko) Version/9.1 Safari/601.5.17
70 19181 0.20% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/48.0.2564.116 Chrome/48.0.2564.116 Saf
71 18966 0.20% Safari/11601.4.4 CFNetwork/760.2.6 Darwin/15.3.0 (x86_64)
72 18921 0.20% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
73 18918 0.20% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
74 18864 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
75 18826 0.20% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
76 17552 0.18% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36
77 17307 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:44.0) Gecko/20100101 Firefox/44.0
78 16871 0.18% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
79 16739 0.18% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
80 16560 0.17% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36
81 16504 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1) AppleWebKit/601.2.7 (KHTML, like Gecko) Version/9.0.1 Safari/601.2.7
82 16481 0.17% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
83 16212 0.17% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
84 15692 0.17% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.1
85 15692 0.17% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.109 Safari/537.36
86 15403 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/600.8.9 (KHTML, like Gecko) Version/8.0.8 Safari/600.8.9
87 14938 0.16% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
88 14780 0.16% Mozilla/5.0 (compatible; BLEXBot/1.0; +http://webmeup-crawler.com/)
89 14618 0.15% Mozilla/5.0 (iPad; CPU OS 9_2_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13D15 Safari/601.1
90 14376 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
91 14366 0.15% IR W16 WebCrawler 15201360 18601447 64688315
92 14362 0.15% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr
93 14340 0.15% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:43.0) Gecko/20100101 Firefox/43.0
94 14125 0.15% Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)
95 14060 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.154 Safari/537.36 LBBROWSER
96 14058 0.15% Python-urllib/3.5
97 14056 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/601.4.4 (KHTML, like Gecko) Version/9.0.3 Safari/537.86.4
98 13927 0.15% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
99 13780 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:45.0) Gecko/20100101 Firefox/45.0
100 13287 0.14% Mozilla/5.0 (X11; Linux x86_64; rv:38.0) Gecko/20100101 Firefox/38.0

Usage by Country for March 2016

Top 30 of 69 Total Countries
# Hits Files KBytes Country
1 8804327 92.68% 8253677 94.72% 73793547846 99.35% Unresolved/Unknown
2 499141 5.25% 481538 5.53% 96674519 0.13% Commercial (com)
3 66992 0.71% 66110 0.76% 45663154 0.06% Educational (edu)
4 48531 0.51% 47771 0.55% 74155652 0.10% Network (net)
5 7246 0.08% 6678 0.08% 57411024 0.08% India
6 6775 0.07% 4708 0.05% 12046406 0.02% France
7 6218 0.07% 5761 0.07% 210775 0.00% Poland
8 4935 0.05% 4827 0.06% 16985837 0.02% Colombia
9 4927 0.05% 4799 0.06% 904569 0.00% Malaysia
10 4530 0.05% 4234 0.05% 50992584 0.07% China
11 3436 0.04% 3326 0.04% 11243811 0.02% Ireland
12 3315 0.03% 2997 0.03% 5073881 0.01% Romania
13 3282 0.03% 3209 0.04% 4774030 0.01% Turkey
14 3257 0.03% 3000 0.03% 1803132 0.00% Spain
15 3196 0.03% 3002 0.03% 4279590 0.01% Germany
16 2695 0.03% 2536 0.03% 59504349 0.08% United Kingdom
17 2295 0.02% 2232 0.03% 232621 0.00% Indonesia
18 2134 0.02% 1997 0.02% 2986510 0.00% Japan
19 2000 0.02% 1365 0.02% 1015114 0.00% Singapore
20 1906 0.02% 1849 0.02% 17678916 0.02% Italy
21 1580 0.02% 1518 0.02% 282431 0.00% Brazil
22 1508 0.02% 1271 0.01% 612460 0.00% Pakistan
23 1328 0.01% 1190 0.01% 16182 0.00% Australia
24 1171 0.01% 1094 0.01% 1270059 0.00% US Government (gov)
25 1168 0.01% 955 0.01% 118480 0.00% Non-Profit (org)
26 1166 0.01% 1134 0.01% 103722 0.00% Serbia
27 1105 0.01% 1078 0.01% 57916 0.00% Greece
28 1040 0.01% 996 0.01% 1547406 0.00% Taiwan
29 773 0.01% 709 0.01% 1743356 0.00% Hong Kong
30 766 0.01% 739 0.01% 83076 0.00% US Military (mil)

Generated by Webalizer Version 2.21