If you have the Google toolbar installed in your browser, you will see PageRank for each page as you browse the web. And all the time, a number on the tool button will be just an indicator that only shows that a current page is in a certain range of the overall scale. For example, the number 3 will tell that the current webpage is in the section between PageRank 3 and PageRank 4.
Some notes about PageRank:
When one page links to another page, it “votes” for another page.
In other words, your page gives another page some amount of rank credits.
The more pages your website has the better.
The more pages your website has the more "votes" some of your pages might have.
PageRank is a numeric value that indicates how important a page is on the Web.
You should sculpt your PageRank to the TOP pages.
You should build your website in such a way that your TOP pages will receive the most rank credits from all other pages on your website.
PageRank is only one of many factors used to determine the page’s search ranking.
In its philosophy, Google tells that it is using more than 200 different signals for determining the page's search ranking, and PageRank is only one of them.
PageRank is never known exactly.
PageRank says nothing about the content and size of the page, the language it is written in, and the text used in the anchors of links.
The page's PageRank only shows "votes" of support by other pages on the Web.
High PageRank doesn’t guarantee a high search ranking for any particular term.
Otherwise, websites with the highest PageRanks such as Adobe, Google, or Wikipedia would always be shown in search results for any user's search.
The link's anchor text might be more important than the page's PageRank.
If your page has an external link to a page on another website, your page “votes” for that page, consequently, giving some rank credits to another website.
If you don't want your page gives ranking credits to another website, you should add to your <a> tag the
rel="nofollow" attribute.
References:
1. “The Anatomy of a Large-Scale Hypertextual Web Search Engine” Sergey Brin and Lawrence Page. 8 November 2015 <
http://infolab.stanford.edu/pub/papers/google.pdf >