Usage Statistics for archive.ics.uci.edu

Summary Period: September 2016
Generated 01-Oct-2016 06:22 PDT

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

Monthly Statistics for September 2016
Total Hits 12474416
Total Files 11282651
Total Pages 3609533
Total Visits 293902
Total KBytes 17603906223
Total Unique Sites 180616
Total Unique URLs 12686
Total Unique Referrers 13895
Total Unique Usernames 2
Total Unique User Agents 13921
. Avg Max
Hits per Hour 17325 46665
Hits per Day 415813 834194
Files per Day 376088 783424
Pages per Day 120317 373106
Sites per Day 6020 12979
Visits per Day 9796 13561
KBytes per Day 586796874 2065792800
Hits by Response Code
Undefined response code 0.00% 2
Code 200 - OK 90.45% 11282651
Code 206 - Partial Content 1.22% 152248
Code 301 - Moved Permanently 0.20% 24419
Code 302 - Found 0.02% 3114
Code 304 - Not Modified 1.42% 176690
Code 400 - Bad Request 0.00% 144
Code 403 - Forbidden 0.00% 26
Code 404 - Not Found 6.64% 828824
Code 405 - Method Not Allowed 0.01% 1487
Code 406 - Not Acceptable 0.00% 8
Code 416 - Requested Range Not Satisfiable 0.03% 4252
Code 500 - Internal Server Error 0.00% 551

Daily usage for September 2016

Daily Statistics for September 2016
Day Hits Files Pages Visits Sites KBytes
1 583194 4.68% 547263 4.85% 263690 7.31% 8839 3.01% 9240 5.12% 691360520 3.93%
2 704918 5.65% 664465 5.89% 330469 9.16% 7159 2.44% 7725 4.28% 2065792800 11.73%
3 658823 5.28% 623849 5.53% 373106 10.34% 5836 1.99% 6320 3.50% 668150921 3.80%
4 690742 5.54% 653592 5.79% 368695 10.21% 6787 2.31% 7346 4.07% 619923644 3.52%
5 834194 6.69% 783424 6.94% 370842 10.27% 8552 2.91% 9021 4.99% 658005279 3.74%
6 654370 5.25% 605456 5.37% 189261 5.24% 9547 3.25% 9961 5.52% 545313126 3.10%
7 347326 2.78% 316626 2.81% 78416 2.17% 9546 3.25% 10000 5.54% 221154496 1.26%
8 353385 2.83% 327331 2.90% 87909 2.44% 9490 3.23% 9765 5.41% 464592313 2.64%
9 245572 1.97% 222180 1.97% 62965 1.74% 7416 2.52% 8158 4.52% 259543187 1.47%
10 200541 1.61% 180455 1.60% 41653 1.15% 6392 2.17% 6839 3.79% 594754670 3.38%
11 238516 1.91% 218877 1.94% 49278 1.37% 7514 2.56% 7992 4.42% 288866145 1.64%
12 326825 2.62% 295734 2.62% 52022 1.44% 9502 3.23% 9989 5.53% 663717548 3.77%
13 415338 3.33% 381686 3.38% 132160 3.66% 9723 3.31% 10596 5.87% 532636872 3.03%
14 326302 2.62% 295120 2.62% 46231 1.28% 9641 3.28% 10130 5.61% 1041089912 5.91%
15 311370 2.50% 284065 2.52% 56628 1.57% 9144 3.11% 9507 5.26% 276120711 1.57%
16 261139 2.09% 233231 2.07% 42943 1.19% 8503 2.89% 8815 4.88% 490810464 2.79%
17 244357 1.96% 215156 1.91% 48575 1.35% 7925 2.70% 8120 4.50% 292014007 1.66%
18 310213 2.49% 276809 2.45% 53469 1.48% 9686 3.30% 9775 5.41% 363668687 2.07%
19 377907 3.03% 340304 3.02% 55062 1.53% 12000 4.08% 11860 6.57% 380404508 2.16%
20 469762 3.77% 397400 3.52% 81155 2.25% 12406 4.22% 12530 6.94% 523822218 2.98%
21 383471 3.07% 339636 3.01% 59587 1.65% 12408 4.22% 12118 6.71% 378351090 2.15%
22 395615 3.17% 344270 3.05% 58529 1.62% 12460 4.24% 12126 6.71% 1240093899 7.04%
23 370715 2.97% 323806 2.87% 81945 2.27% 11240 3.82% 11066 6.13% 475417881 2.70%
24 313500 2.51% 273233 2.42% 102957 2.85% 9026 3.07% 8639 4.78% 269260644 1.53%
25 378786 3.04% 331366 2.94% 98415 2.73% 10935 3.72% 10502 5.81% 272278368 1.55%
26 427141 3.42% 369948 3.28% 67032 1.86% 13561 4.61% 12979 7.19% 675446642 3.84%
27 429604 3.44% 373798 3.31% 76310 2.11% 13301 4.53% 12572 6.96% 648500342 3.68%
28 452313 3.63% 396011 3.51% 91512 2.54% 13523 4.60% 12786 7.08% 925024406 5.25%
29 419907 3.37% 366936 3.25% 94804 2.63% 12675 4.31% 12030 6.66% 489383417 2.78%
30 348570 2.79% 300624 2.66% 93913 2.60% 10490 3.57% 10175 5.63% 588407504 3.34%

Hourly usage for September 2016

Hourly Statistics for September 2016
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 19642 589289 4.72% 17661 529841 4.70% 5677 170317 4.72% 35690086 1070702573 6.08%
1 19679 590390 4.73% 17783 533497 4.73% 5480 164406 4.55% 62945166 1888354986 10.73%
2 18486 554604 4.45% 16657 499732 4.43% 5214 156447 4.33% 26092073 782762179 4.45%
3 16619 498588 4.00% 14774 443243 3.93% 4789 143673 3.98% 27084988 812549643 4.62%
4 16860 505804 4.05% 15087 452623 4.01% 4803 144095 3.99% 39342098 1180262940 6.70%
5 18880 566413 4.54% 17066 511987 4.54% 6157 184725 5.12% 33645702 1009371074 5.73%
6 21185 635574 5.10% 19140 574205 5.09% 5583 167497 4.64% 21160610 634818302 3.61%
7 21065 631966 5.07% 19075 572277 5.07% 5768 173055 4.79% 30909591 927287717 5.27%
8 21230 636915 5.11% 19112 573364 5.08% 6391 191747 5.31% 26879207 806376222 4.58%
9 18936 568099 4.55% 17121 513641 4.55% 5248 157443 4.36% 21686375 650591248 3.70%
10 18227 546830 4.38% 16486 494581 4.38% 5340 160205 4.44% 25225916 756777465 4.30%
11 17559 526773 4.22% 15902 477068 4.23% 4929 147894 4.10% 27177232 815316969 4.63%
12 17500 525006 4.21% 15966 479001 4.25% 4629 138892 3.85% 17700873 531026176 3.02%
13 15822 474675 3.81% 14526 435805 3.86% 4467 134010 3.71% 14026869 420806074 2.39%
14 13803 414097 3.32% 12623 378699 3.36% 3967 119015 3.30% 14592059 437761782 2.49%
15 13322 399676 3.20% 12190 365728 3.24% 4139 124189 3.44% 10948060 328441814 1.87%
16 12822 384672 3.08% 11754 352632 3.13% 4316 129499 3.59% 7181027 215430816 1.22%
17 14357 430735 3.45% 13112 393387 3.49% 4625 138775 3.84% 9220930 276627898 1.57%
18 16162 484871 3.89% 14532 435967 3.86% 4393 131811 3.65% 13287649 398629480 2.26%
19 17267 518017 4.15% 15513 465414 4.13% 4870 146128 4.05% 29277008 878310234 4.99%
20 15975 479260 3.84% 14437 433131 3.84% 4652 139574 3.87% 20325512 609765357 3.46%
21 15798 473967 3.80% 14271 428136 3.79% 4788 143667 3.98% 19410875 582326260 3.31%
22 16365 490969 3.94% 14865 445950 3.95% 4858 145747 4.04% 20751041 622531226 3.54%
23 18240 547226 4.39% 16424 492742 4.37% 5224 156722 4.34% 32235926 967077785 5.49%

Top 100 of 12686 Total URLs
# Hits KBytes URL
1 2245924 18.00% 67210589 0.38% /ml/datasets.html
2 132769 1.06% 505457274 2.87% /ml/machine-learning-databases/adult/adult.data
3 129108 1.03% 2380132 0.01% /ml/
4 107963 0.87% 477483 0.00% /ml/machine-learning-databases/iris/iris.data
5 89870 0.72% 104489 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
6 41967 0.34% 575686 0.00% /ml/datasets.html/datasets/datasets.html
7 39787 0.32% 1747441379 9.93% /ml/machine-learning-databases/00251/WTD_upload.zip
8 35237 0.28% 2800 0.00% /
9 26962 0.22% 1904305 0.01% /ml/datasets/Iris
10 20165 0.16% 1324356 0.01% /ml/machine-learning-databases/
11 19352 0.16% 435971 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
12 19066 0.15% 731289 0.00% /ml/datasets/Adult
13 18529 0.15% 194164 0.00% /ml/machine-learning-databases/wine/wine.data
14 17645 0.14% 289061 0.00% /ml/datasets.html/datasets.html
15 16467 0.13% 25653 0.00% /ml/machine-learning-databases/iris/
16 14025 0.11% 154434 0.00% /ml/datasets/Bank+Marketing
17 13378 0.11% 18312672 0.10% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
18 12642 0.10% 1522879 0.01% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
19 12507 0.10% 1015449 0.01% /ml/machine-learning-databases/wine-quality/winequality-red.csv
20 12361 0.10% 216639 0.00% /ml//datasets.html
21 11901 0.10% 157763267 0.90% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
22 10581 0.08% 367559 0.00% /ml/datasets/Wine
23 10281 0.08% 18084 0.00% /ml/machine-learning-databases/adult/
24 9690 0.08% 509972 0.00% /ml/datasets/Heart+Disease
25 9547 0.08% 452521 0.00% /ml/machine-learning-databases/housing/housing.data
26 9258 0.07% 79847 0.00% /ml/datasets/Wine+Quality
27 9234 0.07% 97403 0.00% /ml/datasets/STUDENT+ALCOHOL+CONSUMPTION
28 9217 0.07% 181392 0.00% /ml/datasets/Car+Evaluation
29 8755 0.07% 276668 0.00% /ml/datasets/Housing
30 8220 0.07% 20166 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
31 8216 0.07% 83630 0.00% /ml/datasets/Air+Quality
32 8173 0.07% 120990767 0.69% /ml/machine-learning-databases/00362/HT_Sensor_UCIsubmission.zip
33 8171 0.07% 2329994511 13.24% /ml/machine-learning-databases/00280/HIGGS.csv.gz
34 7431 0.06% 289929 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
35 7406 0.06% 204096 0.00% /ml/datasets/Abalone
36 7121 0.06% 138257 0.00% /ml/datasets.html/datasets/datasets/datasets.html
37 6941 0.06% 133051 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
38 6740 0.05% 119460 0.00% /ml/machine-learning-databases/voting-records/house-votes-84.data
39 6653 0.05% 12073298 0.07% /ml/machine-learning-databases/adult/adult.test
40 6613 0.05% 19073 0.00% /ml/machine-learning-databases/iris/iris.names
41 6154 0.05% 176022 0.00% /ml/datasets/Pima+Indians+Diabetes
42 6065 0.05% 98701 0.00% /ml/datasets/Statlog+(German+Credit+Data)
43 5948 0.05% 1066605 0.01% /ml/machine-learning-databases/abalone/abalone.data
44 5816 0.05% 55778 0.00% /ml/datasets/default+of+credit+card+clients
45 5766 0.05% 49104 0.00% /ml/datasets/Online+Retail
46 5427 0.04% 7374 0.00% /ml/machine-learning-databases/wine/
47 5424 0.04% 23709 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
48 5422 0.04% 50023 0.00% /ml/datasets/Poker+Hand
49 5091 0.04% 21790 0.00% /ml/machine-learning-databases/heart-disease/
50 4984 0.04% 55524 0.00% /ml/datasets/Student+Performance
51 4977 0.04% 61394 0.00% /ml/datasets/Online+News+Popularity
52 4951 0.04% 189822 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
53 4949 0.04% 475606 0.00% /ml/machine-learning-databases/statlog/german/german.data-numeric
54 4936 0.04% 47235 0.00% /ml/datasets/Forest+Fires
55 4895 0.04% 77668 0.00% /ml/datasets/Auto+MPG
56 4792 0.04% 24064 0.00% /ml/machine-learning-databases/adult/adult.names
57 4751 0.04% 235253 0.00% /ml/machine-learning-databases/car/car.data
58 4731 0.04% 51024 0.00% /ml/datasets/Gas+sensors+for+home+activity+monitoring
59 4657 0.04% 178072 0.00% /ml/datasets/Mushroom
60 4533 0.04% 6174 0.00% /ml/machine-learning-databases/car/
61 4517 0.04% 2181601 0.01% /ml/machine-learning-databases/00222/bank.zip
62 4501 0.04% 130903 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
63 4484 0.04% 6215 0.00% /ml/machine-learning-databases/wine-quality/
64 4464 0.04% 54185 0.00% /ml/datasets/Spambase
65 4428 0.04% 5295 0.00% /ml/machine-learning-databases/00222/
66 4416 0.04% 1573826 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
67 4415 0.04% 3987235 0.02% /ml/machine-learning-databases/00360/AirQualityUCI.zip
68 4306 0.03% 2353477805 13.37% /ml/machine-learning-databases/00269/dir_data.tar
69 4163 0.03% 64785569 0.37% /ml/machine-learning-databases/00352/Online Retail.xlsx
70 4122 0.03% 34880 0.00% /ml/datasets/Wholesale+customers
71 4047 0.03% 48580 0.00% /ml/datasets/Automobile
72 4047 0.03% 95028 0.00% /ml/datasets/Census+Income
73 4039 0.03% 5507 0.00% /ml/machine-learning-databases/housing/
74 4034 0.03% 341988 0.00% /ml/machine-learning-databases/undocumented/connectionist-bench/sonar/sonar.all-data
75 4030 0.03% 170760 0.00% /ml/datasets/Diabetes
76 3932 0.03% 268846 0.00% /ml/datasets/Breast+Cancer
77 3925 0.03% 6434 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
78 3861 0.03% 3758 0.00% /ml/machine-learning-databases/00192/
79 3859 0.03% 39823 0.00% /ml/datasets/Credit+Approval
80 3694 0.03% 38408 0.00% /ml/datasets/Bike+Sharing+Dataset
81 3593 0.03% 3528 0.00% /ml/machine-learning-databases/00356/
82 3564 0.03% 70250 0.00% /ml/datasets/Letter+Recognition
83 3560 0.03% 27370 0.00% /ml/datasets/Occupancy+Detection+
84 3540 0.03% 4866 0.00% /ml/machine-learning-databases/abalone/
85 3408 0.03% 31021 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
86 3391 0.03% 830260 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv
87 3308 0.03% 5102 0.00% /ml/machine-learning-databases/statlog/german/
88 3262 0.03% 3251 0.00% /ml/machine-learning-databases/00360/
89 3256 0.03% 27270 0.00% /ml/datasets/Individual+household+electric+power+consumption
90 3220 0.03% 5059 0.00% /ml/machine-learning-databases/auto-mpg/
91 3198 0.03% 129939901 0.74% /ml/machine-learning-databases/00256/data.zip
92 3186 0.03% 5281089 0.03% /ml/machine-learning-databases/00337/sNewsListWResults3yr.zip
93 3071 0.02% 104428576 0.59% /ml/machine-learning-databases/00341/HAPT Data Set.zip
94 3017 0.02% 33841 0.00% /ml/datasets/Flags
95 2936 0.02% 124322 0.00% /ml/datasets/Glass+Identification
96 2919 0.02% 24712 0.00% /ml/datasets/GPS+Trajectories
97 2909 0.02% 220351 0.00% /ml/machine-learning-databases/statlog/german/german.data
98 2863 0.02% 15628 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
99 2851 0.02% 56378 0.00% /ml/machine-learning-databases/00356/student.zip
100 2744 0.02% 338669528 1.92% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip

Top 100 of 12686 Total URLs By KBytes
# Hits KBytes URL
1 1746 0.01% 2479536908 14.09% /ml/machine-learning-databases/00340/data.zip
2 4306 0.03% 2353477805 13.37% /ml/machine-learning-databases/00269/dir_data.tar
3 8171 0.07% 2329994511 13.24% /ml/machine-learning-databases/00280/HIGGS.csv.gz
4 943 0.01% 2037599299 11.57% /ml/machine-learning-databases/00353/SIFT10M.tar.gz
5 39787 0.32% 1747441379 9.93% /ml/machine-learning-databases/00251/WTD_upload.zip
6 1954 0.02% 563818117 3.20% /ml/machine-learning-databases/00344/Activity recognition exp.zip
7 132769 1.06% 505457274 2.87% /ml/machine-learning-databases/adult/adult.data
8 1945 0.02% 414567991 2.35% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
9 201 0.00% 375864799 2.14% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
10 1996 0.02% 359428124 2.04% /ml/machine-learning-databases/00338/Folio Leaf Dataset.rar
11 2744 0.02% 338669528 1.92% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
12 2453 0.02% 281917618 1.60% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
13 858 0.01% 207453960 1.18% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
14 325 0.00% 203063253 1.15% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
15 11901 0.10% 157763267 0.90% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
16 971 0.01% 155633196 0.88% /ml/machine-learning-databases/00339/train.csv.zip
17 393 0.00% 154472625 0.88% /ml/machine-learning-databases/00279/SUSY.csv.gz
18 1797 0.01% 144236809 0.82% /ml/machine-learning-databases/00361/data1.zip
19 323 0.00% 137367619 0.78% /ml/machine-learning-databases/00347/1000_test.csv.gz
20 138 0.00% 132409753 0.75% /ml/machine-learning-databases/00347/all_train.csv.gz
21 108 0.00% 129944364 0.74% /ml/machine-learning-databases/00347/1000_train.csv.gz
22 3198 0.03% 129939901 0.74% /ml/machine-learning-databases/00256/data.zip
23 8173 0.07% 120990767 0.69% /ml/machine-learning-databases/00362/HT_Sensor_UCIsubmission.zip
24 656 0.01% 119494283 0.68% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
25 937 0.01% 114301643 0.65% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
26 3071 0.02% 104428576 0.59% /ml/machine-learning-databases/00341/HAPT Data Set.zip
27 601 0.00% 96180123 0.55% /ml/machine-learning-databases/00322/data.zip
28 105 0.00% 87283364 0.50% /ml/machine-learning-databases/00347/not1000_test.csv.gz
29 589 0.00% 76528349 0.43% /ml/machine-learning-databases/url/url_svmlight.tar.gz
30 824 0.01% 74481069 0.42% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
31 2245924 18.00% 67210589 0.38% /ml/datasets.html
32 99 0.00% 67179913 0.38% /ml/machine-learning-databases/00347/all_test.csv.gz
33 4163 0.03% 64785569 0.37% /ml/machine-learning-databases/00352/Online Retail.xlsx
34 291 0.00% 63673811 0.36% /ml/machine-learning-databases/p53/p53_new_2012.zip
35 288 0.00% 62456126 0.35% /ml/machine-learning-databases/00306/dataset_segmentation.rar
36 2544 0.02% 57127392 0.32% /ml/machine-learning-databases/00210/donation.zip
37 1988 0.02% 55086248 0.31% /ml/machine-learning-databases/00288/leaf.zip
38 38 0.00% 54596938 0.31% /ml/machine-learning-databases/00347/not1000_train.csv.gz
39 725 0.01% 54167932 0.31% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
40 1258 0.01% 47826917 0.27% /ml/machine-learning-databases/00328/ghg_data.zip
41 849 0.01% 46451581 0.26% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
42 146 0.00% 42047083 0.24% /ml/machine-learning-databases/00318/NoisyOffice.zip
43 2374 0.02% 41265033 0.23% /ml/machine-learning-databases/poker/poker-hand-testing.data
44 2454 0.02% 26217026 0.15% /ml/machine-learning-databases/00235/household_power_consumption.zip
45 487 0.00% 25752591 0.15% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
46 930 0.01% 24286948 0.14% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
47 1989 0.02% 23399502 0.13% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
48 1319 0.01% 22010207 0.13% /ml/machine-learning-databases/00248/regression.tar.gz
49 851 0.01% 21479403 0.12% /ml/machine-learning-databases/00204/PEMS-SF.zip
50 2447 0.02% 20117268 0.11% /ml/machine-learning-databases/00359/NewsAggregatorDataset.zip
51 249 0.00% 19224866 0.11% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
52 436 0.00% 19166292 0.11% /ml/machine-learning-databases/00268/Data.zip
53 13378 0.11% 18312672 0.10% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
54 218 0.00% 17964750 0.10% /ml/machine-learning-databases/p53/p53_old_2010.zip
55 2210 0.02% 15945561 0.09% /ml/machine-learning-databases/00239/corpus.zip
56 1300 0.01% 15643698 0.09% /ml/machine-learning-databases/00344/Still exp.zip
57 624 0.01% 14594990 0.08% /ml/machine-learning-databases/00349/OULAD.zip
58 291 0.00% 14002738 0.08% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
59 965 0.01% 12251427 0.07% /ml/machine-learning-databases/00246/3D_spatial_network.txt
60 6653 0.05% 12073298 0.07% /ml/machine-learning-databases/adult/adult.test
61 1672 0.01% 11550620 0.07% /ml/machine-learning-databases/covtype/covtype.data.gz
62 235 0.00% 11462121 0.07% /ml/machine-learning-databases/00205/OpinRankDataset.zip
63 1942 0.02% 11228008 0.06% /ml/machine-learning-databases/00209/Schierz_Bioassay.zip
64 2244 0.02% 10506178 0.06% /ml/machine-learning-databases/00350/default of credit card clients.xls
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Top 10 of 2671 Total Entry Pages
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Top 10 of 2636 Total Exit Pages
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Top 10 of 13895 Total Referrers
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Top 100 of 13921 Total User Agents
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2 603968 4.84% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
3 453887 3.64% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
4 444774 3.57% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
5 321609 2.58% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
6 292488 2.34% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
7 270710 2.17% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
8 245575 1.97% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
9 204521 1.64% MobileSafari/602.1 CFNetwork/808.0.2 Darwin/16.0.0
10 200863 1.61% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0
11 190182 1.52% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
12 172900 1.39% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
13 167392 1.34% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:48.0) Gecko/20100101 Firefox/48.0
14 155996 1.25% Java/1.8.0_60
15 153498 1.23% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0
16 143956 1.15% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
17 142031 1.14% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
18 139254 1.12% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
19 133470 1.07% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
20 118519 0.95% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
21 115910 0.93% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/601.7.8 (KHTML, like Gecko) Version/9.1.3 Safari/601.7.8
22 114194 0.92% Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
23 100959 0.81% 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
24 99479 0.80% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
25 90016 0.72% Python-urllib/2.7
26 87928 0.70% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/601.7.7 (KHTML, like Gecko) Version/9.1.2 Safari/601.7.7
27 82787 0.66% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
28 81418 0.65% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.79 Safari/537.36 Edge/14.14
29 81054 0.65% curl/7.43.0
30 79385 0.64% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
31 70433 0.56% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
32 62700 0.50% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
33 59576 0.48% Safari/12602.1.50.0.10 CFNetwork/807.0.4 Darwin/16.0.0 (x86_64)
34 59105 0.47% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:49.0) Gecko/20100101 Firefox/49.0
35 58049 0.47% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
36 57957 0.46% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
37 57062 0.46% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:48.0) Gecko/20100101 Firefox/48.0
38 56502 0.45% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0
39 55777 0.45% Safari/11602.1.50.0.10 CFNetwork/760.6.3 Darwin/15.6.0 (x86_64)
40 54810 0.44% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
41 51059 0.41% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
42 48661 0.39% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
43 48366 0.39% Python-urllib/3.5
44 42776 0.34% Mozilla/5.0 (Windows NT 6.1; rv:48.0) Gecko/20100101 Firefox/48.0
45 42656 0.34% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
46 41538 0.33% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
47 40371 0.32% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
48 40222 0.32% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
49 37368 0.30% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Firefox/45.0
50 36315 0.29% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:49.0) Gecko/20100101 Firefox/49.0
51 35818 0.29% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17
52 35304 0.28% Mozilla/5.0 (Windows NT 10.0; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
53 34335 0.28% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:47.0) Gecko/20100101 Firefox/47.0
54 34230 0.27% Mozilla/5.0 (Linux; Android) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.131 Safari/537.36
55 33772 0.27% Mozilla/5.0 (iPhone; CPU iPhone OS 9_3_5 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Version/9.0 Mobile/13G36 Saf
56 33404 0.27% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12) AppleWebKit/602.1.50 (KHTML, like Gecko) Version/10.0 Safari/602.1.50
57 32499 0.26% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:49.0) Gecko/20100101 Firefox/49.0
58 31975 0.26% Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko
59 31114 0.25% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
60 30897 0.25% CCBot/2.0 (http://commoncrawl.org/faq/)
61 30695 0.25% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.89 Safari/537.36
62 30394 0.24% Mozilla/5.0 (compatible; BLEXBot/1.0; +http://webmeup-crawler.com/)
63 30302 0.24% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36
64 30010 0.24% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
65 29018 0.23% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/602.1.50 (KHTML, like Gecko) Version/10.0 Safari/602.1.50
66 28737 0.23% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36
67 28474 0.23% Mozilla/4.0 (compatible;)
68 26950 0.22% Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36
69 26771 0.21% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/51.0.2704.79 Chrome/51.0.2704.79 Safar
70 26593 0.21% Mozilla/4.5 (compatible; HTTrack 3.0x; Windows 98)
71 26510 0.21% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36
72 26411 0.21% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.92 Safari/537.36
73 26098 0.21% Mozilla/5.0 (iPhone; CPU iPhone OS 10_0_1 like Mac OS X) AppleWebKit/602.1.50 (KHTML, like Gecko) Version/10.0 Mobile/14A403
74 25768 0.21% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36
75 24353 0.20% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
76 23563 0.19% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36
77 22799 0.18% Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0
78 22489 0.18% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/52.0.2743.116 Chrome/52.0.2743.116 Saf
79 21956 0.18% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
80 21776 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
81 21773 0.17% Mozilla/5.0 (Windows NT 6.1; rv:47.0) Gecko/20100101 Firefox/47.0
82 21750 0.17% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
83 21381 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
84 21128 0.17% Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
85 20933 0.17% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.7.8 (KHTML, like Gecko) Version/9.1.3 Safari/601.7.8
86 20673 0.17% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0
87 20240 0.16% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
88 20229 0.16% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36
89 19456 0.16% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.106 Safari/537.36
90 18957 0.15% 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
91 18953 0.15% Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
92 18266 0.15% 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
93 18232 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.89 Safari/537.36
94 17800 0.14% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36
95 17518 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36
96 17405 0.14% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36
97 17193 0.14% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36
98 17076 0.14% Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:48.0) Gecko/20100101 Firefox/48.0
99 16637 0.13% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.89 Safari/537.36
100 16327 0.13% Mozilla/5.0 (Linux; Android 4.2.1; en-us; Nexus 5 Build/JOP40D) AppleWebKit/535.19 (KHTML, like Gecko; googleweblight) Chrome

Usage by Country for September 2016

Top 30 of 63 Total Countries
# Hits Files KBytes Country
1 12129287 97.23% 11108339 98.46% 17385624166 98.76% Unresolved/Unknown
2 226424 1.82% 214231 1.90% 57077803 0.32% Commercial (com)
3 25503 0.20% 24850 0.22% 17272955 0.10% Malaysia
4 14524 0.12% 14026 0.12% 19799498 0.11% Educational (edu)
5 9714 0.08% 9342 0.08% 4011368 0.02% India
6 6924 0.06% 6708 0.06% 3458088 0.02% Colombia
7 6560 0.05% 5864 0.05% 30041498 0.17% Network (net)
8 6434 0.05% 5876 0.05% 3311469 0.02% Germany
9 5029 0.04% 4789 0.04% 661423 0.00% Ireland
10 4755 0.04% 4512 0.04% 163592 0.00% Italy
11 4606 0.04% 4162 0.04% 66281945 0.38% Pakistan
12 4367 0.04% 4141 0.04% 5834237 0.03% Japan
13 3482 0.03% 3306 0.03% 64849 0.00% France
14 3126 0.03% 2866 0.03% 1545810 0.01% China
15 1892 0.02% 1750 0.02% 993263 0.01% Brazil
16 1780 0.01% 1747 0.02% 327777 0.00% Estonia
17 1382 0.01% 984 0.01% 72558 0.00% Spain
18 1332 0.01% 1286 0.01% 701190 0.00% Hong Kong
19 1302 0.01% 1199 0.01% 91307 0.00% US Government (gov)
20 1254 0.01% 1207 0.01% 8339 0.00% Mexico
21 1247 0.01% 1187 0.01% 192520 0.00% United Kingdom
22 1203 0.01% 1026 0.01% 181111 0.00% Non-Profit (org)
23 1109 0.01% 1018 0.01% 17874 0.00% Singapore
24 1069 0.01% 1041 0.01% 67157 0.00% South Africa
25 814 0.01% 752 0.01% 81548 0.00% Switzerland
26 683 0.01% 658 0.01% 64600 0.00% Korea, Republic of
27 666 0.01% 651 0.01% 3975 0.00% Sri Lanka
28 594 0.00% 579 0.01% 415915 0.00% Indonesia
29 578 0.00% 534 0.00% 90071 0.00% Denmark
30 550 0.00% 504 0.00% 7153 0.00% Serbia

Generated by Webalizer Version 2.21