Keyword density is an indicator of the amount of times the selected keyword appears in the web page. But mind you, keywords shouldn’t be over used, but should be just sufficient enough to seem at important places.
If you repeat your keywords with every other word on every line, then your site will probably be rejected as a man-made site or spam site.
Keyword density is usually expressed as a percentage of the total word content on a given web page.
Suppose you've got 100 words on your webpage (not including HMTL code used for writing the web page), and you employ a certain keyword for five times in the content. The keyword density thereon page is got by simply dividing the total number of keywords, by the entire number of words that appear on your web page. So here it's 5 divided by 100 = .05. Because keyword density may be a percentage of the total word count on the page, multiply the above by 100, that is 0.05 x 100 = 5%
The accepted standard for a keyword density is between 3% and 5%, to urge recognized by the search engines and you should never exceed it.
Remember, that this rule applies to each page on your site. It also applies to not just to at least one keyword but also a set of keywords that relates to a different product or service. The keyword density should be between 3% and 5%.
Simple steps to test the density:
- Copy and paste the content from a private web page into a word-processing software program like Word or Word Perfect.
- Go to the ‘Edit’ menu and click ‘Select All’. Now attend the ‘Tools’ menu and select ‘Word Count’. Write down the entire number of words in the page.
- Now select the ‘Find’ function on the ‘Edit’ menu. attend the ‘Replace’ tab and type in the keyword you want to find. ‘Replace’ that word with the identical word, so you don’t change the text.
- When you complete the replace function, the system will provide a count of the words you replaced. that provides the number of times you have used the keyword in that page.
- Using the entire word count for the page and the total number of keywords you can now calculate the keyword density.