Re: "The High Cost of Living vs. The Cost of Living High"

Below are a few of my thoughts regarding this post.

VIA Carpe Diem [full post is linked in Title above]

Based on a suggestion yesterday from a student in my MBA class (MGT 551 Business Economics), the graph above shows the declining share of disposable personal income (data) spent on food (data), clothing (data), and shelter (housing and household operation) since 1929. From a high of almost 59% in 1933, the percent of disposable income spent on food, clothing and shelter today has continually fallen, and today (2007) is only 33%.

The problem I have with these types of stats is...

• People have taken the savings and put them into other spending categories...
• Such as Cable TV... Internet... Mobile phones... 401k...
• People have less money left over at the end of the month...
• Funds are all allocated...
• There is not much fat to cut in personal budgets...

You may not agree, that is OK.

Takeaway:
When Food, Fuel and Shelter costs rise rapidly there is no way for the average family to easily adjust to the new realities.

TRAFFIC FROM JOB SCAM POST

Last 50 visitors to blog by location. Most if not all visits are in regards to the JOB SCAM post from last week. Referring web pages indicate this.

• Usually there is a small percentage of non US traffic.
• US based traffic is usually around 85%.
• Appears that a major spamming went to folks in Europe recently.
  

Detail Country Location Distance (miles) 1 Netherlands Uitgeest, Noord-Holland 3,890 2 Netherlands Bemmel, Gelderland 3,955 3 Poland Warsaw, Warszawa 4,478 4 United States 803 5 Netherlands Valkenswaard, Noord-Brabant 3,957 6 United States Wilmington, North Carolina 628 7 Netherlands Gennep, Limburg 3,964 8 Netherlands Nieuwveen, Zuid-Holland 3,902 9 Netherlands Utrecht 3,920 10 Netherlands Amsterdam, Noord-Holland 3,904 11 Unknown ? 12 Netherlands Rhenen, Utrecht 3,941 13 Netherlands Leimuiden, Zuid-Holland 3,899 14 Netherlands Maastricht, Limburg 3,982 15 Poland Wroclaw, Dolnoslaskie 4,389 16 Poland Piastw, Warszawa 4,475 17 Netherlands Baarlo, Limburg 3,982 18 Netherlands Leiden, Zuid-Holland 3,895 19 United States Chicago, Illinois 248 20 Netherlands Den Haag, Zuid-Holland 3,889 21 Poland Rumia, Gdansk 4,296 22 Poland Pruszkw, Warszawa 4,476 23 Netherlands Hoofddorp, Noord-Holland 3,897 24 Netherlands Tynaarlo, Drenthe 3,942 25 Poland Poznan, Wielkopolskie 4,334 26 Europe 4,209 27 Poland Warsaw, Warszawa 4,478 28 Canada Kelowna, British Columbia 1,804 29 Netherlands Zundert, Noord-Brabant 3,923 30 United States Richmond, Virginia 443 31 Netherlands Wageningen, Gelderland 3,944 32 Netherlands Vught, Noord-Brabant 3,941 33 Netherlands Amsterdam, Noord-Holland 3,904 34 Poland Warsaw, Warszawa 4,478 35 Poland Ruda Slaska, Katowice 4,485 36 Netherlands Amsterdam, Noord-Holland 3,904 37 Netherlands Delft, Zuid-Holland 3,894 38 United States Lockport, Illinois 268 39 Netherlands Haarlem, Noord-Holland 3,893 40 Poland Warsaw, Warszawa 4,478 41 Poland Katowice, Slaskie 4,493 42 Netherlands Den Haag, Zuid-Holland 3,889 43 Poland Tuchola, Bydgoszcz 4,318 44 Netherlands Doorn, Utrecht 3,930 45 Poland Katowice, Slaskie 4,493 46 Germany Burscheid, Nordrhein-Westfalen 4,028 47 Netherlands Amsterdam, Noord-Holland 3,904 48 Netherlands Alphen, Zuid-Holland 3,901 49 Netherlands Wageningen, Gelderland 3,944 50 Netherlands Wageningen, Gelderland 3,944 [1] 2 Navigation Trends Location Tracking Visitor Tracking Web Browsers [Help] Today's Visit Depth Daily Visit Depth Daily Durations Continents Countries Distance Time Zones Language OS Domain Organization Browser Share JavaScript Monitor Resolution Color Depth