It states your general intent, but that is invariably the same: improving results/turnover/roi/clicks or whatever.
Keyword prices are governed by supply and demand (probably automatised by use of algoritms) and as such it is self evident that bigger/more prosperous targets command higher prices.
I still have the impression that you are trying to find answers in keyword research that simply are not there. Comparing massive amounts of date may reveal something about how to use them in the best way, but there is no quick, simple or cheap way of doing. The simple reason is that the data you compare is useless, unless you have a way of including ALL possible variations for all your possible target markets.
The only feasible way of getting some practical, reliable answers that I know of, is taking one (group of) product(s), one target market, set a budget, and then work out what gives you the best roi by comparing sales/profit per variation.
To give you an idea of the enormity of data volume:
I have 1 main product (domestic gas boiler repairs) and 2 secondary products ( domestic gas boiler serive, domestic gas boiler installs ). No coal, oil or electric. No cookers, space heaters or other appliances and nothing commercial or industrial.
I have 1 small geographic area; half of a 10 mile radius.
2 main keyword: "boiler repair(s)" selling at around $5/click
2 semi-main "boiler repair(s) London" probably $3-4/click.
6 one step below that "boiler repair(s) south/southeast/southwest London"
Around 200 of the comination boiler repair(s) + postcode/ward (area) name
Between 5000 and 10,000 variations of the above combined with boiler variations.
Between 50,000 and 100,000 keywords when I vary the above with Variations of the work e.g. repairs, service and so on.
That is 1 man, 1 main product, half a city.
If you want to do keyword research along these lines for a number of clients, with a number of specialties in a number of countries, you will need a Cray and a platoon of programmers and data entry staff.
You need to formulate a specific quesion to get a specific answer.