1 = Terminated
2 = Overquota
3 = Qualified
4 = Partial

Gender
1 = Male
2 = Female

Age
1 = Less than 18 years
2 = 18 to 24 years
3 = 25 to 34 years
4 = 35 to 44 years
5 = 45 to 54 years
6 = 55 to 64 years
7 = 65 years or older

Population density
1 = A city with more than 1 million people
2 = A city with between 100,000 and 1 million people
3 = A city/town with 10,000 to 99,999 people
4 = A town with less than 10,000 people
5 = An isolated location, with no more than a few other houses nearby (e.g. a farm)

Education
1 = Never attended school
2 = Attended school Grades 1 through 12, whether achieved a diploma or not
3 = Attended college, but did not finish
4 = Associate degree Two year degree
5 = Bachelor’s degree
6 = Postgraduate degree E.g. Master’s degree, MD, DDS, PhD

White
0 = Not Selected
1 = Selected

Family income
1 = Under $1,000
2 = $1,000 to 2,999
3 = $3,000 to 3,999
4 = $4,000 to 4,999
5 = $5,000 to 5,999
6 = $6,000 to 6,999
7 = $7,000 to 7,999
8 = $8,000 to 9,999
9 = $10,000 to 12,499
10 = $12,500 to 14,999
11 = $15,000 to 17,499
12 = $17,500 to 19,999
13 = $20,000 to 22,499
14 = $22,500 to 24,999
15 = $25,000 to 29,999
16 = $30,000 to 34,999
17 = $35,000 to 39,999
18 = $40,000 to 49,999
19 = $50,000 to 59,999
20 = $60,000 to 74,999
21 = $75,000 to $89,999
22 = $90,000 to $109,999
23 = $110,000 to $129,999
24 = $130,000 to $149,999
25 = $150,000 to $199,999
26 = $200,000 or over
27 = Don’t know
28 = I refuse to answer this question

Purchase intent
1 = I would definitely buy it
2 = I would probably buy it
3 = I am not sure whether I would buy it or not
4 = I would probably not buy it
5 = I would definitely not buy it

Uniqueness
1 = Very different
2 = Different
3 = A little different
4 = Not very different
5 = Not at all different

Brand fit
1 = 1 Does not fit at all
2 = 2
3 = 3
4 = 4
5 = 5
6 = 6
7 = 7
8 = 8
9 = 9
10 = 10 Fits extremely well