Usage Statistics for archive.ics.uci.edu

Summary Period: April 2016
Generated 01-May-2016 06:20 PDT

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

Monthly Statistics for April 2016
Total Hits 9610775
Total Files 8749872
Total Pages 1588622
Total Visits 282249
Total KBytes 59009070433
Total Unique Sites 178629
Total Unique URLs 11030
Total Unique Referrers 13663
Total Unique Usernames 1
Total Unique User Agents 12480
. Avg Max
Hits per Hour 13348 39771
Hits per Day 320359 510696
Files per Day 291662 471343
Pages per Day 52954 82207
Sites per Day 5954 12674
Visits per Day 9408 13295
KBytes per Day 1966969014 14568502227
Hits by Response Code
Code 200 - OK 91.04% 8749872
Code 206 - Partial Content 1.88% 180345
Code 301 - Moved Permanently 0.24% 23304
Code 302 - Found 0.04% 3681
Code 304 - Not Modified 2.57% 247311
Code 400 - Bad Request 0.00% 64
Code 403 - Forbidden 0.00% 24
Code 404 - Not Found 4.10% 393700
Code 405 - Method Not Allowed 0.03% 3065
Code 406 - Not Acceptable 0.00% 3
Code 412 - Precondition Failed 0.00% 1
Code 416 - Requested Range Not Satisfiable 0.07% 6988
Code 500 - Internal Server Error 0.03% 2417

Daily usage for April 2016

Daily Statistics for April 2016
Day Hits Files Pages Visits Sites KBytes
1 259438 2.70% 241064 2.76% 37173 2.34% 7859 2.78% 8590 4.81% 345739789 0.59%
2 79670 0.83% 73604 0.84% 12584 0.79% 4397 1.56% 5923 3.32% 261715030 0.44%
3 131429 1.37% 91568 1.05% 15788 0.99% 5369 1.90% 7250 4.06% 2462820165 4.17%
4 132632 1.38% 122259 1.40% 22646 1.43% 6843 2.42% 9167 5.13% 208117081 0.35%
5 233552 2.43% 213586 2.44% 36914 2.32% 9025 3.20% 10499 5.88% 1114218558 1.89%
6 428175 4.46% 392603 4.49% 63696 4.01% 11953 4.23% 11711 6.56% 1523305742 2.58%
7 418308 4.35% 385722 4.41% 64575 4.06% 11685 4.14% 11731 6.57% 941152021 1.59%
8 324072 3.37% 299167 3.42% 51227 3.22% 9317 3.30% 9570 5.36% 1492513307 2.53%
9 283739 2.95% 257341 2.94% 44762 2.82% 8400 2.98% 8464 4.74% 3188652072 5.40%
10 329801 3.43% 300069 3.43% 57382 3.61% 10314 3.65% 10172 5.69% 1066253582 1.81%
11 510696 5.31% 471343 5.39% 70382 4.43% 12399 4.39% 12555 7.03% 3840460635 6.51%
12 423027 4.40% 390422 4.46% 65267 4.11% 13295 4.71% 12623 7.07% 6912377161 11.71%
13 388830 4.05% 359985 4.11% 59402 3.74% 11405 4.04% 11698 6.55% 965638410 1.64%
14 349410 3.64% 322373 3.68% 53954 3.40% 9533 3.38% 9956 5.57% 441652377 0.75%
15 66290 0.69% 60533 0.69% 11169 0.70% 1985 0.70% 2537 1.42% 325058535 0.55%
16 85996 0.89% 79969 0.91% 13575 0.85% 2311 0.82% 2625 1.47% 113459725 0.19%
17 384520 4.00% 350047 4.00% 59502 3.75% 10671 3.78% 10950 6.13% 1596149884 2.70%
18 463064 4.82% 420415 4.80% 75058 4.72% 12824 4.54% 12674 7.10% 945647960 1.60%
19 465231 4.84% 416570 4.76% 70584 4.44% 12687 4.49% 12643 7.08% 3215735390 5.45%
20 441534 4.59% 392070 4.48% 82207 5.17% 11855 4.20% 11834 6.62% 739590825 1.25%
21 404218 4.21% 369242 4.22% 71762 4.52% 11305 4.01% 11412 6.39% 1021689123 1.73%
22 325763 3.39% 301537 3.45% 72775 4.58% 9470 3.36% 9633 5.39% 1050515075 1.78%
23 294405 3.06% 272538 3.11% 65373 4.12% 8271 2.93% 8389 4.70% 562090326 0.95%
24 351930 3.66% 321712 3.68% 69106 4.35% 9983 3.54% 10192 5.71% 2817503430 4.77%
25 418672 4.36% 370778 4.24% 64596 4.07% 11727 4.15% 11924 6.68% 14568502227 24.69%
26 401045 4.17% 365595 4.18% 60380 3.80% 11845 4.20% 12141 6.80% 1792920827 3.04%
27 372260 3.87% 339162 3.88% 59438 3.74% 11240 3.98% 11594 6.49% 864099473 1.46%
28 324140 3.37% 295799 3.38% 53440 3.36% 9980 3.54% 10558 5.91% 660048196 1.12%
29 284352 2.96% 260679 2.98% 58408 3.68% 8659 3.07% 9137 5.12% 3510936078 5.95%
30 234576 2.44% 212120 2.42% 45497 2.86% 7142 2.53% 7136 3.99% 460507429 0.78%

Hourly usage for April 2016

Hourly Statistics for April 2016
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 15442 463273 4.82% 13735 412058 4.71% 2495 74859 4.71% 123674013 3710220378 6.29%
1 16236 487092 5.07% 14494 434836 4.97% 2650 79524 5.01% 131221628 3936648837 6.67%
2 14989 449691 4.68% 13441 403242 4.61% 2461 73830 4.65% 117799209 3533976269 5.99%
3 13068 392046 4.08% 11933 358010 4.09% 2184 65547 4.13% 65986182 1979585445 3.35%
4 13227 396810 4.13% 12053 361614 4.13% 2139 64195 4.04% 74767685 2243030558 3.80%
5 14103 423110 4.40% 12901 387051 4.42% 2253 67592 4.25% 106538164 3196144923 5.42%
6 16130 483929 5.04% 14780 443411 5.07% 2528 75868 4.78% 178787120 5363613599 9.09%
7 16771 503157 5.24% 15434 463021 5.29% 2615 78478 4.94% 116878299 3506348981 5.94%
8 15845 475356 4.95% 14678 440343 5.03% 2572 77182 4.86% 90889059 2726671767 4.62%
9 13820 414623 4.31% 12828 384846 4.40% 2351 70543 4.44% 73943667 2218309998 3.76%
10 13739 412171 4.29% 12743 382310 4.37% 2387 71634 4.51% 49343757 1480312708 2.51%
11 13643 409302 4.26% 12721 381630 4.36% 2267 68019 4.28% 34676387 1040291614 1.76%
12 13485 404574 4.21% 12614 378445 4.33% 2180 65422 4.12% 22661883 679856502 1.15%
13 11561 346842 3.61% 10897 326935 3.74% 1926 57792 3.64% 13754618 412638548 0.70%
14 10887 326621 3.40% 10217 306527 3.50% 1842 55272 3.48% 13417395 402521859 0.68%
15 9593 287794 2.99% 8937 268110 3.06% 1736 52087 3.28% 15778244 473347334 0.80%
16 8714 261444 2.72% 8109 243285 2.78% 1743 52311 3.29% 18686736 560602081 0.95%
17 11953 358608 3.73% 10676 320304 3.66% 2077 62338 3.92% 13292442 398773247 0.68%
18 13141 394258 4.10% 11526 345784 3.95% 2241 67242 4.23% 24627361 738820845 1.25%
19 13476 404289 4.21% 12091 362734 4.15% 2197 65938 4.15% 60348182 1810445451 3.07%
20 12336 370104 3.85% 11010 330317 3.78% 2098 62952 3.96% 63153219 1894596559 3.21%
21 11391 341750 3.56% 10079 302390 3.46% 1926 57786 3.64% 70242095 2107262853 3.57%
22 12441 373239 3.88% 11024 330747 3.78% 1908 57249 3.60% 137639128 4129173830 7.00%
23 14356 430692 4.48% 12730 381922 4.36% 2165 64962 4.09% 348862542 10465876249 17.74%

Top 100 of 11030 Total URLs
# Hits KBytes URL
1 413961 4.31% 42846353 0.07% /ml/datasets.html
2 196965 2.05% 753417524 1.28% /ml/machine-learning-databases/adult/adult.data
3 106186 1.10% 1964953 0.00% /ml/
4 80299 0.84% 14988786 0.03% /ml/machine-learning-databases/abalone/abalone.data
5 74668 0.78% 328966 0.00% /ml/machine-learning-databases/iris/iris.data
6 34953 0.36% 210101018 0.36% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
7 27315 0.28% 2146 0.00% /
8 25643 0.27% 1756949 0.00% /ml/datasets/Iris
9 21977 0.23% 1424309 0.00% /ml/machine-learning-databases/
10 17834 0.19% 273554 0.00% /ml//datasets.html
11 16787 0.17% 656026 0.00% /ml/datasets/Adult
12 15286 0.16% 19709157425 33.40% /ml/machine-learning-databases/00340/data.zip
13 14974 0.16% 153891 0.00% /ml/machine-learning-databases/wine/wine.data
14 14847 0.15% 128489 0.00% /ml/datasets/Wine+Quality
15 13757 0.14% 21437 0.00% /ml/machine-learning-databases/iris/
16 11128 0.12% 385049 0.00% /ml/datasets/Wine
17 10721 0.11% 561894 0.00% /ml/datasets/Heart+Disease
18 10682 0.11% 112561 0.00% /ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
19 10125 0.11% 24720 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
20 9975 0.10% 196424 0.00% /ml/datasets/Car+Evaluation
21 9913 0.10% 17392 0.00% /ml/machine-learning-databases/adult/
22 9074 0.09% 202724 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
23 8606 0.09% 94323 0.00% /ml/datasets/Bank+Marketing
24 8574 0.09% 82121 0.00% /ml/datasets/default+of+credit+card+clients
25 8279 0.09% 158067 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
26 8239 0.09% 321190 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
27 7914 0.08% 84675 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
28 7879 0.08% 219986 0.00% /ml/datasets/Abalone
29 7412 0.08% 234786 0.00% /ml/datasets/Housing
30 7314 0.08% 113552425 0.19% /ml/machine-learning-databases/00288/leaf.zip
31 7240 0.08% 73619 0.00% /ml/datasets/Air+Quality
32 6987 0.07% 9378 0.00% /ml/machine-learning-databases/wine/
33 6900 0.07% 320747 0.00% /ml/machine-learning-databases/housing/housing.data
34 6663 0.07% 526956 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
35 6325 0.07% 748846 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
36 6181 0.06% 304097 0.00% /ml/machine-learning-databases/car/car.data
37 6127 0.06% 67662 0.00% /ml/datasets/Student+Performance
38 6006 0.06% 25649 0.00% /ml/machine-learning-databases/heart-disease/
39 5915 0.06% 7990539 0.01% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
40 5915 0.06% 8012 0.00% /ml/machine-learning-databases/car/
41 5457 0.06% 7462 0.00% /ml/machine-learning-databases/wine-quality/
42 5371 0.06% 49453 0.00% /ml/datasets/Poker+Hand
43 5322 0.06% 15297 0.00% /ml/machine-learning-databases/iris/iris.names
44 5268 0.05% 144235 0.00% /ml/datasets/Pima+Indians+Diabetes
45 5228 0.05% 52360465 0.09% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
46 5130 0.05% 50168 0.00% /ml/datasets/Forest+Fires
47 4943 0.05% 187542 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
48 4936 0.05% 21589 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
49 4863 0.05% 24152 0.00% /ml/machine-learning-databases/adult/adult.names
50 4659 0.05% 4591 0.00% /ml/machine-learning-databases/00356/
51 4584 0.05% 4367 0.00% /ml/machine-learning-databases/00192/
52 4573 0.05% 62211112 0.11% /ml/machine-learning-databases/00352/Online Retail.xlsx
53 4566 0.05% 74296 0.00% /ml/datasets/Statlog+(German+Credit+Data)
54 4530 0.05% 1928773 0.00% /ml/machine-learning-databases/00222/bank.zip
55 4509 0.05% 6178 0.00% /ml/machine-learning-databases/abalone/
56 4488 0.05% 274461808 0.47% /ml/machine-learning-databases/00256/data.zip
57 4418 0.05% 4092632 0.01% /ml/machine-learning-databases/00360/AirQualityUCI.zip
58 4362 0.05% 36248 0.00% /ml/datasets/Online+Retail
59 4355 0.05% 5673677119 9.61% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
60 4348 0.05% 42575 0.00% /ml/datasets/Internet+Advertisements
61 4292 0.04% 167185 0.00% /ml/datasets/Mushroom
62 4261 0.04% 17528362 0.03% /ml/machine-learning-databases/00350/default of credit card clients.xls
63 4203 0.04% 66893 0.00% /ml/datasets/Auto+MPG
64 4013 0.04% 4773 0.00% /ml/machine-learning-databases/00222/
65 4000 0.04% 170809 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wpbc.data
66 3917 0.04% 163237 0.00% /ml/datasets/Diabetes
67 3897 0.04% 48906 0.00% /ml/datasets/Online+News+Popularity
68 3879 0.04% 47752 0.00% /ml/datasets/Automobile
69 3822 0.04% 3797 0.00% /ml/machine-learning-databases/00350/
70 3778 0.04% 257414 0.00% /ml/datasets/Breast+Cancer
71 3749 0.04% 5118 0.00% /ml/machine-learning-databases/housing/
72 3734 0.04% 12938357419 21.93% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
73 3690 0.04% 38265 0.00% /ml/datasets/Credit+Approval
74 3689 0.04% 44623 0.00% /ml/datasets/Spambase
75 3682 0.04% 73988886 0.13% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
76 3666 0.04% 806453905 1.37% /ml/machine-learning-databases/00279/SUSY.csv.gz
77 3651 0.04% 885015 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
78 3616 0.04% 27606 0.00% /ml/datasets/Occupancy+Detection+
79 3575 0.04% 30051 0.00% /ml/datasets/Wholesale+customers
80 3566 0.04% 32746 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
81 3527 0.04% 61671962 0.10% /ml/machine-learning-databases/poker/poker-hand-testing.data
82 3463 0.04% 6010051 0.01% /ml/machine-learning-databases/adult/adult.test
83 3339 0.03% 81105300 0.14% /ml/machine-learning-databases/00328/ghg_data.zip
84 3330 0.03% 66017 0.00% /ml/machine-learning-databases/00356/student.zip
85 3319 0.03% 9654 0.00% /ml/machine-learning-databases/wine/wine.names
86 3272 0.03% 4349285923 7.37% /ml/machine-learning-databases/00269/dir_data.tar
87 3263 0.03% 27429 0.00% /ml/datasets/GPS+Trajectories
88 3218 0.03% 33090 0.00% /ml/datasets/Bike+Sharing+Dataset
89 3207 0.03% 63141 0.00% /ml/datasets/Letter+Recognition
90 3197 0.03% 2775037345 4.70% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
91 3153 0.03% 3126 0.00% /ml/machine-learning-databases/00360/
92 3126 0.03% 5179435 0.01% /ml/machine-learning-databases/00296/dataset_diabetes.zip
93 3125 0.03% 73101 0.00% /ml/datasets/Census+Income
94 3093 0.03% 25895 0.00% /ml/datasets/Individual+household+electric+power+consumption
95 3072 0.03% 2021302 0.00% /ml/machine-learning-databases/spambase/spambase.data
96 2985 0.03% 277425731 0.47% /ml/machine-learning-databases/00322/data.zip
97 2976 0.03% 25186 0.00% /ml/datasets/Energy+efficiency
98 2937 0.03% 54241 0.00% /ml/datasets/Zoo
99 2935 0.03% 341550190 0.58% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
100 2916 0.03% 24653 0.00% /ml/datasets/seeds

Top 100 of 11030 Total URLs By KBytes
# Hits KBytes URL
1 15286 0.16% 19709157425 33.40% /ml/machine-learning-databases/00340/data.zip
2 3734 0.04% 12938357419 21.93% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
3 4355 0.05% 5673677119 9.61% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
4 3272 0.03% 4349285923 7.37% /ml/machine-learning-databases/00269/dir_data.tar
5 1980 0.02% 3554093624 6.02% /ml/machine-learning-databases/00251/WTD_upload.zip
6 3197 0.03% 2775037345 4.70% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
7 491 0.01% 914137004 1.55% /ml/machine-learning-databases/00280/HIGGS.csv.gz
8 3666 0.04% 806453905 1.37% /ml/machine-learning-databases/00279/SUSY.csv.gz
9 196965 2.05% 753417524 1.28% /ml/machine-learning-databases/adult/adult.data
10 1722 0.02% 594514748 1.01% /ml/machine-learning-databases/00344/Activity recognition exp.zip
11 1205 0.01% 590099913 1.00% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
12 1050 0.01% 438678004 0.74% /ml/machine-learning-databases/00347/1000_test.csv.gz
13 1098 0.01% 421734186 0.71% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
14 424 0.00% 397021469 0.67% /ml/machine-learning-databases/00347/all_train.csv.gz
15 2935 0.03% 341550190 0.58% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
16 993 0.01% 295533233 0.50% /ml/machine-learning-databases/00339/train.csv.zip
17 2985 0.03% 277425731 0.47% /ml/machine-learning-databases/00322/data.zip
18 4488 0.05% 274461808 0.47% /ml/machine-learning-databases/00256/data.zip
19 1228 0.01% 243246765 0.41% /ml/machine-learning-databases/00318/NoisyOffice.zip
20 34953 0.36% 210101018 0.36% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
21 1727 0.02% 200315644 0.34% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
22 775 0.01% 199098859 0.34% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
23 147 0.00% 184281791 0.31% /ml/machine-learning-databases/00347/1000_train.csv.gz
24 1621 0.02% 172594789 0.29% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
25 1792 0.02% 171236527 0.29% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
26 322 0.00% 153942998 0.26% /ml/machine-learning-databases/00347/all_test.csv.gz
27 797 0.01% 140505031 0.24% /ml/machine-learning-databases/p53/p53_new_2012.zip
28 197 0.00% 138667138 0.23% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
29 1098 0.01% 115012619 0.19% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
30 7314 0.08% 113552425 0.19% /ml/machine-learning-databases/00288/leaf.zip
31 1083 0.01% 103323759 0.18% /ml/machine-learning-databases/url/url_svmlight.tar.gz
32 86 0.00% 100934579 0.17% /ml/machine-learning-databases/00347/not1000_train.csv.gz
33 230 0.00% 82479302 0.14% /ml/databases/eeg/eeg_full.tar
34 3339 0.03% 81105300 0.14% /ml/machine-learning-databases/00328/ghg_data.zip
35 85 0.00% 79564389 0.13% /ml/machine-learning-databases/bag-of-words//docword.pubmed.txt.gz
36 3682 0.04% 73988886 0.13% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
37 2068 0.02% 65246674 0.11% /ml/machine-learning-databases/00341/HAPT Data Set.zip
38 4573 0.05% 62211112 0.11% /ml/machine-learning-databases/00352/Online Retail.xlsx
39 3527 0.04% 61671962 0.10% /ml/machine-learning-databases/poker/poker-hand-testing.data
40 624 0.01% 57913700 0.10% /ml/machine-learning-databases/00306/dataset_segmentation.rar
41 1658 0.02% 53252865 0.09% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
42 5228 0.05% 52360465 0.09% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
43 1229 0.01% 45654525 0.08% /ml/machine-learning-databases/00210/donation.zip
44 71 0.00% 43626469 0.07% /ml/machine-learning-databases/00347/not1000_test.csv.gz
45 413961 4.31% 42846353 0.07% /ml/datasets.html
46 1342 0.01% 33249188 0.06% /ml/machine-learning-databases/00349/OULAD.zip
47 901 0.01% 30870519 0.05% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
48 1768 0.02% 29893727 0.05% /ml/machine-learning-databases/00248/regression.tar.gz
49 769 0.01% 26860529 0.05% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
50 736 0.01% 26522472 0.04% /ml/machine-learning-databases/00239/corpus.zip
51 2433 0.03% 26056079 0.04% /ml/machine-learning-databases/00235/household_power_consumption.zip
52 293 0.00% 20826713 0.04% /ml/machine-learning-databases/00268/Data.zip
53 410 0.00% 19722199 0.03% /ml/machine-learning-databases/00204/PEMS-SF.zip
54 1458 0.02% 18520779 0.03% /ml/machine-learning-databases/00246/3D_spatial_network.txt
55 2575 0.03% 17793246 0.03% /ml/machine-learning-databases/00260/nysk.xml.zip
56 4261 0.04% 17528362 0.03% /ml/machine-learning-databases/00350/default of credit card clients.xls
57 296 0.00% 15448813 0.03% /ml/machine-learning-databases/00205/OpinRankDataset.zip
58 2332 0.02% 15335432 0.03% /ml/machine-learning-databases/20newsgroups-mld/20_newsgroups.tar.gz
59 697 0.01% 15130888 0.03% /ml/machine-learning-databases/00344/Still exp.zip
60 80299 0.84% 14988786 0.03% /ml/machine-learning-databases/abalone/abalone.data
61 142 0.00% 14836749 0.03% /ml/machine-learning-databases/p53/p53_old_2010.zip
62 865 0.01% 14617487 0.02% /ml/machine-learning-databases/kddcup98-mld/epsilon_mirror/cup98lrn.zip
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2 598468 6.23% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
3 343846 3.58% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
4 338301 3.52% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
5 280017 2.91% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
6 244774 2.55% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
7 236189 2.46% Java/1.8.0_60
8 205776 2.14% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
9 173879 1.81% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
10 163623 1.70% 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
11 149243 1.55% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
12 147030 1.53% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
13 138741 1.44% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
14 135265 1.41% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
15 117762 1.23% 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
16 113317 1.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
17 100505 1.05% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
18 93973 0.98% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
19 84860 0.88% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
20 79017 0.82% 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
21 76249 0.79% Java/1.8.0_45
22 63721 0.66% Mozilla/5.0 (Windows NT 6.1; rv:45.0) Gecko/20100101 Firefox/45.0
23 63166 0.66% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
24 59526 0.62% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
25 55912 0.58% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
26 55408 0.58% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
27 53309 0.55% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
28 52133 0.54% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
29 51883 0.54% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36
30 51213 0.53% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
31 50858 0.53% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
32 50737 0.53% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.5.17 (KHTML, like Gecko) Version/9.1 Safari/601.5.17
33 50088 0.52% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
34 48850 0.51% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
35 46489 0.48% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:45.0) Gecko/20100101 Firefox/45.0
36 44839 0.47% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.86 Safari/537.36
37 44164 0.46% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
38 42898 0.45% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36
39 42068 0.44% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
40 39565 0.41% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36
41 39018 0.41% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
42 37484 0.39% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
43 37199 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
44 36701 0.38% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
45 36380 0.38% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
46 36281 0.38% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
47 34952 0.36% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0
48 34715 0.36% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:44.0) Gecko/20100101 Firefox/44.0
49 33649 0.35% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
50 33588 0.35% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
51 31448 0.33% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36
52 31046 0.32% Mozilla/5.0 (iPhone; CPU iPhone OS 9_3_1 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13E238 Sa
53 30743 0.32% 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
54 30142 0.31% Transmission/2.84
55 30131 0.31% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
56 28945 0.30% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
57 26885 0.28% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/49.0.2623.108 Chrome/49.0.2623.108 Saf
58 26718 0.28% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
59 26703 0.28% Mozilla/4.0 (compatible;)
60 26451 0.28% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36
61 26309 0.27% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
62 25824 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.86 Safari/537.36
63 24403 0.25% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.86 Safari/537.36
64 24235 0.25% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36
65 23875 0.25% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:45.0) Gecko/20100101 Firefox/45.0
66 23314 0.24% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
67 23195 0.24% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.110 Safari/537.36
68 22912 0.24% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET C
69 22424 0.23% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0
70 21490 0.22% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
71 21171 0.22% Python-urllib/2.7
72 20768 0.22% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
73 20525 0.21% 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
74 20308 0.21% Wget/1.15 (linux-gnu)
75 19740 0.21% 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
76 18449 0.19% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)
77 18433 0.19% Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
78 18400 0.19% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
79 18325 0.19% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.87 Safari/537.36
80 17980 0.19% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36
81 17824 0.19% Safari/11601.5.17.1 CFNetwork/760.4.2 Darwin/15.4.0 (x86_64)
82 17652 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36
83 17507 0.18% 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
84 17396 0.18% 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 17131 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.154 Safari/537.36 LBBROWSER
86 17078 0.18% Mozilla/5.0 (X11; Linux x86_64; rv:38.0) Gecko/20100101 Firefox/38.0
87 16842 0.18% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1
88 16807 0.17% Wget/1.16 (linux-gnu)
89 16346 0.17% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36
90 16134 0.17% 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
91 15791 0.16% 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
92 15738 0.16% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36
93 15652 0.16% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
94 14966 0.16% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0)
95 14850 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
96 14742 0.15% Mozilla/5.0 (Windows NT 5.1; rv:45.0) Gecko/20100101 Firefox/45.0
97 14710 0.15% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
98 14528 0.15% Mozilla/5.0 Gecko/20100115 Firefox/3.6
99 14403 0.15% 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
100 14191 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:43.0) Gecko/20100101 Firefox/43.0

Usage by Country for April 2016

Top 30 of 72 Total Countries
# Hits Files KBytes Country
1 9366653 97.46% 8703095 99.47% 58502351015 99.14% Unresolved/Unknown
2 147841 1.54% 137950 1.58% 74630357 0.13% Commercial (com)
3 12810 0.13% 12189 0.14% 8053029 0.01% Educational (edu)
4 8994 0.09% 8447 0.10% 4174527 0.01% Poland
5 6276 0.07% 5764 0.07% 4012040 0.01% Network (net)
6 5485 0.06% 5201 0.06% 1037459 0.00% India
7 4980 0.05% 4678 0.05% 8612846 0.01% Germany
8 3737 0.04% 3329 0.04% 346573913 0.59% China
9 3268 0.03% 3087 0.04% 3346188 0.01% Japan
10 3125 0.03% 3055 0.03% 774538 0.00% Malaysia
11 3007 0.03% 2932 0.03% 851737 0.00% Jordan
12 2899 0.03% 2737 0.03% 10794373 0.02% United Kingdom
13 2681 0.03% 2582 0.03% 560389 0.00% Hong Kong
14 2655 0.03% 2540 0.03% 31276 0.00% France
15 2536 0.03% 2332 0.03% 126276 0.00% Russian Federation
16 2369 0.02% 2142 0.02% 6014560 0.01% Romania
17 2298 0.02% 2229 0.03% 186677 0.00% Colombia
18 2287 0.02% 2193 0.03% 375556 0.00% Ireland
19 2148 0.02% 1992 0.02% 5984343 0.01% Brazil
20 2144 0.02% 1752 0.02% 7967549 0.01% Pakistan
21 1915 0.02% 1795 0.02% 311408 0.00% Italy
22 1668 0.02% 1588 0.02% 2970802 0.01% Spain
23 1388 0.01% 1255 0.01% 3884771 0.01% Mexico
24 1362 0.01% 1295 0.01% 3333265 0.01% Turkey
25 1212 0.01% 1063 0.01% 370133 0.00% South Africa
26 1101 0.01% 1057 0.01% 112819 0.00% Estonia
27 1068 0.01% 918 0.01% 88210 0.00% Belgium
28 1033 0.01% 677 0.01% 4141178 0.01% Non-Profit (org)
29 966 0.01% 515 0.01% 69561 0.00% Singapore
30 949 0.01% 892 0.01% 1009802 0.00% Croatia

Generated by Webalizer Version 2.21