• weighted person count (Pwgt1),
• weighted household count (PHouseholds) and
• weighted person level financial data (Rearning, Rpincome, Income1-8)

• state, and
• recoded "Rearning" field

1. -1- (People who had negative rearning data)
2. 0-0 (People who had zero rearning data)
3. 1-10000 (People who had positive rearning data, no greater than $10,000)
4. 10001-25000 (People who earned more than $10,000, but less than $25,001)
5. 25001-50000 (People who earned more than $25,000, but less than $50,001)
6. 75001-100000 (People who earned more than $75,000, but less than $100,001)
7. 100001-150000 (People who earned more than $100,000, but less than $150,001)
8. 150001-200000 (People who earned more than $150,000, but less than $200,001)
9. 200001-300000 (People who earned more than $200,000, but less than $300,001)
10. 300001-400000 (People who earned more than $300,000, but less than $400,001)
11. 400001-500000 (People who earned more than $400,000, but less than $500,001)

This tabulation illustrates the need for you to be able to order your own custom tabulations instead of relying on what someone may be feeding you. For example, in line 2, we find about 2 million people in 1 million households in Alabama who had zero Rearnings. But that doesn't tell the whole story - because these same people had over $5.5 Billion in Rpincome.

Feedback invited: please email us and let us know what you think - is the explanation sufficiently clear?