Respondents Residing in WIC
Households		 Respondents not Residing in
WIC Households
Male .52 .55
Single Parents (Unmarried,
Unpartnered)		 .29 .42
Race and Ethnicity  
Mexican-American .32 .17
Other Hispanic .12 .10
White, Non-Hispanic .33 .51
Black, Non-Hispanic .19 .16
Other Race or Ethnicity .04 .06
Mean Income to Poverty Ratio 1.17 .98
Mean Age 32.54 40.40
Education Level  
Less than 9th Grade .16 .04
9-11th Grade .31 .11
High School Grad/GED .26 .23
Some College or AA Degree .22 .31
College Graduate or Above .05 .31
Table 1: Weighted Summary Statistics for all Income Eligible Households
  WIC vs. Non-WIC WIC vs. Non-WIC |
Income Eligibility
Milk .023***
(.002)		  
Cheese -.003**
(.001)		 -.003
(.002)
Beans .005***
(.001)		 .002
(.001)
Eggs -.0001
(.001)		 -.001
(.001)
Cereal .006***
(.001)		 .004**
(.001)
Juice .014***
(.002)		 .013***
(.002)
Peanut Butter -.003*
(.001)		 -.002
(.001)
*p<.05; **=p<.01; ***=p<.001
Table 2: Difference in WIC food consumption by WIC household status. Standard Errors in Parentheses
  WIC vs. Non-WIC WIC vs. Non-WIC |
Income Eligibility
Milk .021***
(.003)		 .015***
(.004)
Cheese -.001
(.001)		 -.002
(.002)
Beans .004**
(.001)		 .003**
(.001)
Eggs -.0002
(.001)		 -.001
(.001)
Cereal .006***
(.002)		 .004**
(.002)
Juice .011***
(.002)		 .007*
(.003)
Peanut Butter -.002**
(.001)		 -.002*
(.001)
*p<.05; **=p<.01; ***=p<.001
Table 3: Difference in WIC food consumption by WIC household status. Men Only. Standard Errors in Parentheses
  WIC vs. Non-WIC |
Income Eligibility
(Married)		 WIC vs. Non-WIC |
Income Eligibility
(Unmarried)
Milk .002
(.005)		 .028**
(.010)
Cheese -.009**
(.003)		 -.007
(.005)
Beans .006
(.003)		 .003
(.004)
Eggs -.001
(.002)		 -.004
(.002)
Cereal .002
(.003)		 .008
(.005)
Juice .014**
(.004)		 .011
(.007)
Peanut Butter -.004*
(.002)		 .002
(.002)
*p<.05; **=p<.01; ***=p<.001
Table 4: Difference in WIC food consumption by WIC household status. Women Only. Standard Errors in Parentheses
  WIC vs. Non-WIC |
Income Eligibility (Men)		 WIC vs. Non-WIC |
Income Eligibility
(Married Women)		 WIC vs. Non-WIC |
Income Eligibility
(Unmarried Women)
Sweets: Baked Goods,
Candy		 -.001
(.002)		 -.004
(.004)		 -.004
(.006)
Soda -.002
(.004)		 .030**
(.010)		 -.012
(.014)
Alcohol -.002**
(.001)		 -.003
(.002)		 -004
(.004)
*p<.05; **=p<.01; ***=p<.001
Table 5: Differences in "junk" food consumption by WIC household status and gender. Standard Errors in Parentheses
  WIC vs. Non-WIC |
Income Eligibility (Men)		 WIC vs. Non-WIC |
Income Eligibility
(Women)
Sugar (grams) 2.31 (4.76) -17.29 (11.81)
Protein (grams) -5.84**
(2.16)		 -12.13*
(5.99)
Calories -102.49*
(51.61)		 -355.30*
(158.03)
BMI -3.13
(10.88)		 9.53
(9.62)
*p<.05; **=p<.01; ***=p<.001
Table 6: Differences in nutrient intake and BMI by WIC household status and gender. Standard Errors in Parentheses
  Milk Cereal Juice CaloriesConsumed Sugar Protein
WIC -.004
(.007)		 .003
(.003)		 -.002
(.004)		 -129.56
(103.23)		 -4.69
(9.93)		 -7.62
(4.31)
Single -.011
(.006)		 -.004
(.003)		 .003
(.004)		 -217.98*
(92.26)		 -15.98
(8.64)		 -12.21**
(3.90)
WIC * Single .013
(.010)		 .001
(.005)		 .001
(.006)		 237.98
(151.59)		 19.07
(16.29)		 9.46
(5.77)
*p<.05; **=p<.01; ***=p<.001
Table 7.1: Differences in outcomes. Fully Saturated Model controlling for demographic confounders. Outcome variables selected from significant naïve models only. Income-Eligible male respondents with children. Standard Errors in Parentheses.
  Milk Cereal Juice CaloriesConsumed Sugar Protein
WIC .002
(.005)		 .005
(.003)		 .013**
(.004)		 167.89
(288.98)		 23.48
(22.25)		 5.51
(11.48)
Single .001
(.006)		 .0002
(.003)		 .004
(.005)		 22.02
(350.44)		 23.00
(26.34)		 -9.41
(12.64)
WIC * Single .026*
(.011)		 .006
(.006)		 -.0003
(.009)		 -502.79
(418.08)		 -50.51
(31.39)		 -12.73
(16.09)
*p<.05; **=p<.01; ***=p<.001
Table 7.2: Differences in outcomes. Fully Saturated Model controlling for demographic confounders. Outcome variables selected from significant naïve models. Income-Eligible female respondents with children. Standard Errors in Parentheses.