Table 4B. Logistic regression results for consumer units incurring food-at-home expenditures in the reference week, by geographic area, 2006–15
Variable United States New York area
Estimate SE DF t for H0 (parameter = θ0) Pr > |t| Sig. levels Weekly changes in predicted probability of purchasing food at home[4] Estimate SE DF t for H0 (parameter = θ0) Pr > |t| Sig. levels Weekly changes in predicted probability of purchasing food at home[4]
Non-SNAP SNAP Non-SNAP SNAP

Intercept

 0.122 0.074 230 1.65 0.100 [1] [5] [5] –0.605 0.261 1,899 –2.32 0.021 [2] [5] [5]

SNAP status

 1.092 0.216 1,867 5.06 <0.0001 [3] 61.3 76.2 –0.728 1.129 36 –0.65 0.523 [5] 54.6 66.0

SNAP status × household composition, 1 adult, 1 child

 –0.284 0.137 122,268 –2.07 0.039 [2] [5] [5] 0.98 0.594 7,982 1.65 0.099 [1] [5] [5]

SNAP status × household composition, 1 adult, 2 children

 –0.563 0.156 118,868 –3.61 0 [3] [5] [5] –0.355 0.611 3,474 –0.58 0.561 [5] [5] [5]

SNAP status × household composition, 2 adults

 –0.007 0.105 63,072 –0.07 0.944 [5] [5] [5] 0.646 0.375 8,733 1.72 0.085 [1] [5] [5]

SNAP status × household composition, 2 adults, 1 child

 –0.221 0.136 59,410 –1.62 0.105 [5] [5] [5] –0.259 0.468 2,310 –0.55 0.580 [5] [5] [5]

SNAP status × household composition, 2 adults, 2 children

 –0.052 0.153 46,941 –0.34 0.736 [5] [5] [5] 1.194 0.631 8,317 1.89 0.059 [1] [5] [5]

SNAP status × household composition, other

 –0.155 0.106 14,133 –1.46 0.144 [5] [5] [5] 1.042 0.414 484 2.52 0.012 [2] [5] [5]

SNAP status × age, 16–34

 –0.108 0.079 122,656 –1.36 0.173 [5] [5] [5] –0.295 0.330 8,869 –0.89 0.372 [5] [5] [5]

SNAP status × age, 50–61

 –0.153 0.093 124,674 –1.65 0.099 [1] [5] [5] –0.464 0.355 7,745 –1.31 0.191 [5] [5] [5]

SNAP status × age, 62 and older

 –0.259 0.103 124,355 –2.51 0.012 [2] [5] [5] 0.62 0.429 8,833 1.44 0.149 [5] [5] [5]

Household composition, 1 adult, 1 child

 0.197 0.059 124,621 3.33 0.001 [3] 4.6 –1.6 0.064 0.200 8,705 0.32 0.747 [5] 1.6 18.7

Household composition, 1 adult, 2 children

 0.441 0.083 124,705 5.32 <0.0001 [3] 9.8 –2.3 0.352 0.297 8,726 1.18 0.236 [5] 8.5 –0.1

Household composition, 2 adults

 0.048 0.034 70,944 1.41 0.159 [5] 1.1 0.7 –0.093 0.116 8,666 –0.80 0.422 [5] –2.3 11.1

Household composition, 2 adults, 1 child

 0.367 0.048 110,199 7.70 <0.0001 [3] 8.3 2.5 0.195 0.168 8,718 1.16 0.245 [5] 4.8 –1.4

Household composition, 2 adults, 2 children

 0.386 0.049 91,890 7.87 <0.0001 [3] 8.7 5.5 0.327 0.170 8,661 1.93 0.054 [1] 7.9 23.9

Household composition, other

 0.397 0.042 98,051 9.42 <0.0001 [3] 8.9 4.1 0.176 0.139 8,729 1.27 0.203 [5] 4.3 20.8

Age, 16–34

 –0.165 0.026 78,402 –6.45 <0.0001 [3] –4.0 –5.3 –0.268 0.089 8,807 –3.02 0.003 [3] –6.7 –13.5

Age, 50–61

 0.116 0.026 124,666 4.40 <0.0001 [3] 2.7 –0.7 0.254 0.089 8,871 2.84 0.005 [3] 6.2 –4.9

Age, 62 and older

 0.199 0.032 124,494 6.20 <0.0001 [3] 4.6 –1.1 0.214 0.112 8,806 1.91 0.056 [1] 5.2 15.7

Single male or single father

 –0.236 0.028 109,295 –8.55 <0.0001 [3] –5.7 –4.5 –0.290 0.102 8,173 –2.85 0.004 [3] –7.2 –6.8

Race, Black

 –0.026 0.027 122,987 –0.97 0.335 [5] –0.6 –0.5 0.224 0.084 8,871 2.65 0.008 [3] 5.5 4.8

Race, Asian

 0.158 0.043 124,521 3.64 0 [3] 3.7 2.7 0.577 0.123 8,850 4.69 <0.0001 [3] 13.6 11.6

Race, other

 –0.067 0.06 124,418 –1.11 0.265 [5] –1.6 –1.2 0.347 0.271 8,777 1.28 0.201 [5] 8.4 7.3

Hispanic

 0.147 0.028 101,297 5.21 <0.0001 [3] 3.4 2.6 0.618 0.091 8,857 6.79 <0.0001 [3] 14.4 12.3

Marital status, married

 –0.041 0.029 117,089 –1.43 0.153 [5] –1.0 –0.8 –0.164 0.097 8,238 –1.70 0.090 [1] –4.1 –3.8

Marital status, divorced or separated

 –0.110 0.028 123,714 –3.99 <0.0001 [3] –2.6 –2.1 –0.108 0.098 8,872 –1.10 0.271 [5] –2.7 –2.5

Marital status, widowed

 –0.173 0.038 123,695 –4.53 <0.0001 [3] –4.2 –3.3 –0.140 0.13 8,839 –1.07 0.283 [5] –3.5 –3.2

Highest education, less than high school

 0.132 0.032 123,549 4.16 <0.0001 [3] 3.1 2.3 0.528 0.112 8,842 4.70 <0.0001 [3] 12.5 10.7

Highest education, some college

 0.003 0.023 123,212 0.15 0.884 [5] 0.1 0.1 0.117 0.087 8,858 1.34 0.179 [5] 2.9 2.6

Highest education, bachelor’s degree

 0.022 0.027 19,876 0.80 0.422 [5] 0.5 0.4 0.080 0.089 8,645 0.90 0.367 [5] 2.0 1.8

Highest education, more than bachelor’s degree

 0.043 0.032 44,38.2 1.35 0.178 [5] 1.0 0.8 0.051 0.103 5,849 0.49 0.622 [5] 1.3 1.1

Earners, zero

 0.523 0.031 17,007 16.93 <0.0001 [3] 11.5 8.2 0.758 0.113 3,612 6.69 <0.0001 [3] 17.4 14.6

Earners, two

 –0.066 0.026 23,288 –2.57 0.010 [2] –1.6 –1.2 –0.126 0.089 5,276 –1.42 0.156 [5] –3.1 –2.9

Earners, three or more

 –0.114 0.047 27,276 –2.41 0.016 [2] –2.7 –2.1 0.039 0.157 5,514 0.25 0.805 [5] 1.0 0.9

Reason for not working, unable to find work

 0.039 0.075 122,670 0.52 0.602 [5] 0.9 0.7 0.686 0.278 8,818 2.47 0.014 [2] 15.9 13.4

Reason for not working, disabled

 –0.143 0.038 118,838 –3.77 0 [5] –3.4 –2.7 –0.135 0.146 8,469 –0.92 0.356 [5] –3.4 –3.1

Housing, owner no mortgage

 0.182 0.024 21,283 7.60 <0.0001 [3] 4.2 3.1 0.02 0.091 8,201 0.21 0.830 [5] 0.5 0.4

Housing, owner with mortgage

 0.198 0.029 114,958 6.85 <0.0001 [3] 4.6 3.4 0.012 0.106 8,779 0.12 0.907 [5] 0.3 0.3

Housing, other

 –1.570 0.031 118,049 –50.72 <0.0001 [3] –36.5 –36.2 –2.195 0.105 8,767 –20.82 <0.0001 [3] –42.8 –48.2

Vehicles, one

 1.189 0.024 107,752 50.13 <0.0001 [3] 22.6 15.1 0.965 0.078 7,608 12.40 <0.0001 [3] 21.3 17.6

Vehicles, two or more

 1.456 0.027 41,156 53.53 <0.0001 [3] 25.9 17.0 1.338 0.097 7,598 13.73 <0.0001 [3] 27.5 22.1

Vehicles, unknown

 1.805 0.17 121,558 10.64 <0.0001 [3] 29.3 18.9 1.96 0.701 8,660 2.80 0.005 [3] 34.9 27.3

Region, Midwest

 –0.054 0.026 115,388 –2.05 0.041 [2] –1.3 –1.0 [5] [5] [5] [5] [5] [5] 0 0

Region, West

 –0.304 0.024 117,711 –12.62 <0.0001 [3] –7.4 –5.9 [5] [5] [5] [5] [5] [5] 0 0

Region, South

 –0.084 0.028 124,444 –3.04 0.002 [3] –2.0 –1.6 [5] [5] [5] [5] [5] [5] 0 0

Region, unknown

 0.104 0.103 124,672 1.01 0.315 [5] 2.4 1.8 [5] [5] [5] [5] [5] [5] 0 0

Unemplyment rate, annual

 0.006 0.005 124,102 1.37 0.171 [5] 0.2 0.1 0.008 0.025 7,921 0.32 0.747 [5] 0.2 0.2

Period, prerecession

 0.094 0.030 109,346 3.11 0.002 [3] 2.2 1.7 0.263 0.112 8,698 2.36 0.019 [2] 6.4 5.6

Period, postrecession

 –0.105 0.024 124,587 –4.42 <0.0001 [3] –2.5 –2.0 –0.089 0.091 8,617 –0.98 0.327 [5] –2.2 –2.0

Income, all sources other than SNAP, weekly, Box–Cox transformation

 0.073 0.011 45 6.88 <0.0001 [3] [5] [5] 0.172 0.033 111 5.29 <0.0001 [3] [5] [5]

Income, SNAP, weekly, Box–Cox transformation

 0.003 0.083 29,490 0.04 0.972 [5] [5] [5] 0.858 0.44 35 1.95 0.059 [1] [5] [5]

SNAP status × Income, all sources other than SNAP, weekly, Box–Cox transformation

 –0.085 0.028 424 –3.02 0.003 [3] [5] [5] –0.155 0.115 128 –1.34 0.181 [5] [5] [5]

n

 124,787 [5] [5] [5] [5] [5] [5] [5] 8,931 [5] [5] [5] [5] [5] [5] [5]

[1] Statistically significant at 10 percent.

[2] Statistically significant at 5 percent.

[3] Statistically significant at 1 percent.

[4] The total predicted probability is estimated on the SNAP status line.

[5] Data are not applicable.

Note: DF = degrees of freedom, n = size of sample population, Pr = probability, SE = standard error, Sig. = significance, SNAP = Supplemental Nutrition Assistance Program.

Source: U.S. Bureau of Labor Statistics, Consumer Expenditure Diary Surveys, Local Area Unemployment Statistics program, and Current Population Survey, 2006–15.