In Part I of this article I showed you how to write your own script(s) to track the screen resolution, browser viewable size, and bit-depth, of your users. While you are gathering your own statistics, I'll offer mine up for review.

The site for which I gathered these statistics is http://algonquinstudios.com/. It is the web site for my company, Algonquin Studios. It is not a portal site, or really any other kind of traditional destination on the web. It is a site that offers corporate information. Much of the site traffic comes from searches on Yahoo! and Snap for web development, enterprise application development, and various other software and web-related topics. A good deal of traffic comes from client sites, including a popular local not-for-profit. The rest of the traffic have no referrers and most likely are existing clients, leads, or people who just check on us every now and then (competitors, partners, friends, etc.).

I started with 1,000 records, and discarded 14 that had no data. There are some records that have questionable data, but only those with a bit-depth of '0'. So that left 986 good records on which I based these results. What I've done is break the data down per resolution tier. But first I will cover the aggregate data.

The window width and height represent the viewable space within the window, not the actual window size. Instead of guessing who had what tool bars open, it seemed easier to just capture the actual usable real estate. Please keep that in mind as you view these numbers.

All Users

Screen WidthScreen HeightBit-DepthWindow
Inner Width
Window
Inner Height
Mean94170521806485
Median1,02476816783446
Mode1,02476816780602

Highest2,5601,024321,3721,014
Lowest64048008051

Screen Resolution Stats

I've also created this handy chart to show you the actual numbers and percentage breakdowns of each resolution that visited the site. The x-axis represents the screen resolution, and the y-axis represents the number (of 986) and percent of users at that resolution.

640 x 480 (56 users, 5.7%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean60030417
Median62031416
Mode62031416

Highest63642032
Lowest4161561

800 x 600 (393 users, 39.9%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean71939720
Median77942016
Mode78043416

Highest84352432
Lowest80968

832 x 624 (11 users, 1.1%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean75644221
Median76145516
Mode76442216

Highest81148732
Lowest6693658

1,024 x 768 (402 users, 40.8%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean88153922
Median91857916
Mode1,00460216

Highest1,02876832
Lowest80518

1,152 x 870 (62 users, 6.3%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean92563025
Median88966732
Mode83669632

Highest1,14873132
Lowest6593640

1,280 x 1,024 (41 users, 4.2%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean96371022
Median93275524
Mode1,26059732

Highest1,27688632
Lowest7083470

1,600 x 1,200 (18 users, 1.8%)

Window
Inner Width
Window
Inner Height
Bit-Depth
Mean96075525
Median88375828
Mode88377132

Highest1,3721,01432
Lowest75148016

Other Users

There are also a few records that had unique settings. They are as follows:

Finally

Some of you who are better number crunchers than I may be interested in looking at the log. Some of you may want to verify what I've found. You can get your own copy of the log, with IP addresses removed.

You will note some odd numbers above every now and then. Some browsers reported '0' as the bit depth. This is most likely incorrect, but I have left the data in there instead of dumping the whole record. A bit-depth of '1', however, is quite possible. You will also note that while bit-depths can come as 1, 4, 8, 16, 24, and 32, some charts show a mean bit-depth of 17, or some other number. This is an average. I leave it up to the user to determine whether or not he/she would round it up or down. In these cases, the median or mode would be more useful.

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