CHAPTER IV
FINDINGS

The data collected from the grocery store survey has been analyzed in a variety of ways. The findings of the survey of grocery stores are broken into three categories: (1) geographic, (2) non-geographic, and (3) other. Maps, tables, and correlations have been employed to better illustrate the realities of Akron's inner city.

Geographic
Most areas in inner city Akron were relatively close to a food store (Fig. 2) when considering a half-mile travel distance or "service area". The area covered by store service areas is 14.5 square miles, or 56 percent of the more than 25 square mile study area. Some of these areas have fewer residential spaces than others, but the northern portion of Akron, known as "North Hill", where many people live, had no food stores within the survey area. Table 1 contains the number of people that live within each store's service area.

Population, household incomes, public assistance, vehicle availability per household, and high school graduation rates of all persons over 25 were calculated for all store service areas (Table 1). The geographic distributions of household income, public assistance, vehicle availability, and high school graduation in the study area are shown in Figs. 3, 4, 5, and 6.

Figure 2. Store Service Areas in Inner City Akron Study Area

Table 1: Demographics of Store Service Areas

Store Name Population Median Household
Income ($)
Public Assistance
Income (%)
Vehicle Availability
(per hhld.)
High School
Graduates (%)
Aldi 1,843 13,589 32 1.12 56
Asia Market 3,669 20,545 14 1.43 64
Baho Convenience Store 3,712 18,289 16 1.25 73
BiRite Market 3,740 19,465 20 1.36 66
Bob's Supermarket 1,300 10,351 36 1.11 49
Convenient Food Mart 1,238 26,317 8 1.88 66
Country Market 3,493 14,332 24 1.34 63
Dairy Mart 4,305 16,864 13 1.21 77
DB's Check Mart 2,990 14,733 28 1.26 56
Delia Market 5,265 22,807 20 1.40 75
Deli Mart 2,700 8,240 37 0.85 48
Empress Market 3,667 14,900 12 1.44 71
EZ Quick Stop 3,826 18,323 20 1.47 63
Family Market 2,715 14,433 26 1.36 59
Faris Market 3,200 13,881 37 1.15 47
Far-Less Food Market 2,980 14,692 20 1.30 62
Firestone Mini-Mart 4,339 27,530 7 1.73 78
Kelly Market Groceries 1,963 13,435 34 1.06 63
Lakeshore Carry-Out 2,021 10,498 49 1.04 51
Linda's Market 4,145 15,632 28 1.31 63
Little Mike's Market 2,128 12,302 39 1.16 47
Lucky's Deli & Carry-Out 2,991 14,582 26 1.23 56
Main Street Market 1,594 15,595 21 0.81 71
Mr. Pantry 4,236 23,252 24 1.45 67
Olives Food Store 3,619 20,320 14 1.42 64
Oriental Market 3,503 14,939 15 1.28 67
P & F Carry-Out 2,894 14,370 16 1.27 66
Reem's Market 3,315 26,899 5 1.62 73
Rocky's Market 2,032 12,262 33 1.04 58
Roush's Market 2,265 13,136 31 1.24 51
Smitty's Market 1,613 13,295 31 1.18 47
South Street Express 3,085 13,808 26 1.27 62
Spice Corner 3,657 14,822 12 1.45 71
Star Market 4,959 23,285 9 1.34 87
Tasty Carry-Out 1,937 13,278 31 1.18 47
United Asian Market 3,306 13,862 25 1.30 62
Wooster Market 2,615 7,905 36 0.80 47
Zip Mart 4,454 10,636 6 1.57 81
Source: US Census Bureau, 1990b

Figure 3. Median Household Incomes for Store Service Areas

Figure 4. Households Receiving Public Assistance Income per Store Service Area

Figure 5. Vehicles per Household for Store Service Area

Figure 6. High School Graduates per Store Service Area

The median values for service area demographics were calculated, and low and high values noted (Table 2). These demographic ranges for store service areas show the geographical variations between the service areas and inform the analysis as to how each store serves a different population. The store with the least populated service area was the Convenient Food Mart on Massillon Road (1,238 people in its service area) and the store with the most populated service area was the Delia Market on Delia Avenue (5,265 people). The most impoverished service area is that of the Wooster Market on Wooster Avenue ($7,905), while the most affluent service area is the Firestone Mini-Mart on Aster Avenue ($27,530). The area with the highest public assistance income dependence is for Lakeshore Carry-Out's service area (49 percent) and the lowest is the Reem's Market service area (5 percent). The highest level of vehicle availability is found in the Convenient Food Mart service area (1.88 vehicles per household) and the lowest vehicle availability in the Wooster Market service area (0.80 vehicles per household). The highest level of high school graduates is at the Star Market's service area (87 percent), while the lowest level of high school graduates occurred at four different store service areas: Faris Market, Little Mike's Market, Smitty's Market, and Wooster Market (all at 47 percent).

Table 2: Summary of Store Service Area Demographics

Demographic Low Median High
Population 1,238 3,143 5,265
Household income ($) 7,905 14,637 27,530
Public assistance (% of hhlds.) 5 24 49
Vehicles per household 0.80 1.28 1.88
High School graduates (%) 47 63 87
Source: US Census Bureau, 1990b

According to Christaller's theory on central place, grocery store service areas have limited ranges that form thresholds between service areas. Customers will tend to travel to the closest available store and will not cross these theoretical thresholds to get food (Berry and Harris, 1970).

There was a significant correlation between the demographics of the service areas: the smaller the household income, the fewer vehicles available, the more likely to be receiving public assistance income, and the less likely to have graduated from high school. Conversely, the higher the household income, the more vehicles available, the less likely to be receiving public assistance income, and the more likely to have graduated from high school. This trend is not too surprising, since it is a rather uniform cultural phenomenon. Race (Black/White) was also examined as a demographic variable, but it did not correlate to any of the variables.

The three main characteristics of food stores (availability, cost, and public assistance) had varying correlation results. Food item availability increased with lower household incomes (Table 3), higher levels received public assistance (Table 4), and fewer vehicles (Table 5). Food prices (considering both mean and median prices) corresponded with lower household incomes, more public assistance income, and fewer vehicles. Food stamps tended to be less accepted at stores where more households received public assistance income, fewer vehicles were available, and fewer were likely to have graduated from high school (Table 6). WIC was not significantly correlated to any of the tested demographic variables.

Table 3: Food Item Availability Correlated to Service Area Characteristics

Variable Significance Pearson
Median Household Income .003 -.437
Public Assistance Income .031 .305
Vehicle Availability .010 -.376
High School Graduates .063 -.253
Source: US Census Bureau, 1990b

Table 4: Cost Correlated to Service Area Characteristics

Variable Significance Pearson
Median Household Income .021 .332
Public Assistance Income .009 -.385
Vehicle Availability .018 .342
High School Graduates .118 .197
Source: US Census Bureau, 1990b

Table 5: Food Stamp Acceptance Correlated to Service Area Characteristics

Variable Significance Pearson
Median Household Income .136 .183
Public Assistance Income .008 -.389
Vehicle Availability .049 .273
High School Graduates .034 .300
Source: US Census Bureau, 1990b

Table 6: WIC Acceptance Correlated to Service Area Characteristics

Variable Significance Pearson
Median Household Income .246 -.115
Public Assistance Income .361 .060
Vehicle Availability .054 -.265
High School Graduates .424 -.032
Source: US Census Bureau, 1990b

Thus, although food item availability and prices are related in a positive way for those who would be at greater risk of food insecurity, food stamps acceptance is related in a negative fashion.

The racial composition of each store's service area (Table 7) is as mixed as Akron itself. The segregated service areas range from one percent Black and 98 percent White (Convenient Food Mart) to 93 percent Black and six percent White (Bi Rite Market), while the most integrated service area is 47 percent Black and 50 percent White (Kelly Market Groceries).

Table 7: Racial Composition of Store Service Areas

Store Name Service Area
% White
Service Area
% Black
Service Area
% Other
Aldi 52 40 8
Asia Market 79 19 2
Baho Convenience Store 66 31 3
BiRite Market 6 93 1
Bob's Supermarket 82 18 0
Convenient Food Mart 98 1 1
Country Market 78 15 7
DB's Check Mart 18 81 1
Dairy Mart 72 26 2
Deli Mart 8 91 1
Delia Market 42 57 1
EZ Quick Stop 76 22 2
Empress Market 87 9 4
Family Market 85 11 4
Far-Less Food Market 50 41 9
Faris Market 96 3 1
Firestone Mini-Mart 20 80 0
Kelly Market Groceries 50 47 3
Lakeshore Carry-Out 36 61 3
Linda's Market 63 32 5
Little Mike's Market 82 15 3
Lucky's Deli & Carry-Out 75 22 3
Main Street Market 13 86 1
Mr. Pantry 79 19 2
Olives Food Store 84 11 5
Oriental Market 84 11 5
P & F Carry-Out 97 2 1
Reem's Market 23 77 0
Rocky's Market 13 86 1
Roush's Market 71 22 7
Smitty's Market 77 15 8
South Street Express 87 12 1
Star Market 87 9 4
Spice Corner 68 25 7
Tasty Carry-Out 67 32 1
United Asian Market 77 14 9
Wooster Market 10 89 1
Zip Mart 82 11 7
Source: US Census Bureau, 1990b

Ethnic food stores
Not all grocery stores in Akron are "basic American food" stores. In Akron there are a small number of Asian grocery stores that specialize in specific ethnic foods. In order to properly evaluate whether the dietary needs of Asians are being met, it is important to look at these stores.

An ethnic food store primarily sells food items that are distinctly non-traditional American, often catering to immigrants from specific geographic regions. The geographic mean center of the four Asian ethnic grocery stores in the study area (Table 8) falls .07 miles east of the 500s block of Spicer St. (just south of The University of Akron campus). The two stores farthest apart from each other (Oriental Market and Asia Market) are only two miles apart. These stores are all located in East-Central Akron and are in close proximity to The University of Akron.

Table 8: Ethnic Grocery Stores in Akron

Store Name Address Ethnicity Percent of Service Area
"Asian / Pacific Islander"
Asia Market 986 Brown St. East Asian 1.1
Oriental Market 597 East Market St. East Asian 3.7
Spice Corner 519 East Exchange St. South Asian 3.2
United Asian Market 340 East South St. East Asian 6.5
Source: US Census Bureau, 1990b

Despite what one may expect, there is not a significant correlation between the concentration of persons of Asian/Pacific Islander heritage and the location of ethnic grocery stores in Akron (Table 9). The degree of confidence that can be placed on this test could be affected by the datedness of the Census information.

Table 9: Correlation of Asian/Pacific Islanders and Ethnic Grocery Stores

Pearson Significance
.227 .085
Source: US Census Bureau, 1990b

Non-Geographic
Availability
The mean and median number of items available at the surveyed stores was 20 (Table 10). This indicates that the majority of stores had just less than half the items indicated by the USDA. The store with the highest availability was the Star Market having all food items, while the store with the least availability was the Oriental Grocery (a relatively new East Asian ethnic market) having only three recommended food items - which is understandable since it is a more specialized store. The stores of inner city Akron also had less than half of the available food items of the control store's 41 items (Fig. 7).

Table 10: Availability of Food Items

Rank Food Item Quantity Percentage
1 Green beans 34 89
1 Granulated sugar 34 89
3 Tomato sauce 33 87
3 Noodles 33 87
3 Vegetable Oil 33 87
6 Bread 31 82
6 Flour 31 8
6 Whole milk 31 28
9 Eggs 30 79
9 Margarine 30 79
11 Tuna 28 74
11 Kidney beans 28 74
13 Orange juice 26 68
13 Macaroni 26 68
13 Rice 26 68
16 Peaches 25 66
17 Evaporated milk 24 63
17 Shortening 24 63
17 Salad dressing 24 63
20 Brown sugar 24 63
21 Hamburger buns 21 55
22 Corn flakes 17 45
23 Potatoes 14 37
23 Cheddar cheese 14 37
25 Onions 13 34
26 1% milk 12 32
27 Leaf lettuce 10 26
27 Bread crumbs 10 26
29 Apples 8 21
29 Green pepper 8 21
29 Peas 8 21
29 Ground turkey 8 21
29 Garbanzo beans 8 21
34 Bananas 7 18
34 Celery 7 18
36 Fish 6 16
37 Carrots 5 13
37 Turkey ham 5 13
39 Chicken 4 11
40 Ground beef 3 8
41 Bagels 2 5
42 Melons 1 3

Figure 7. Available Food Items per Store

Food group availability
The survey food list is split into food groupings (fruits and vegetables: 15; breads, cereals, and grains: 9; milk and cheese: 4; meat and meat alternatives: 9; and fats, oils, and sugars: 6). The most available food group is the fats, oils, and sugars (74 percent), while the least available is the meats (36 percent). This is followed closely by the fruits and vegetables (37 percent) (Table 11). The control store did much better with 100 percent of all food groups, except for missing one meat group item.

Table 11: Availability of Food Groups

Food Groups Total items in group Accumulative foods found Percentage available
Fruits and vegetables 14 198 37
Breads, cereals, and grains 9 199 58
Milk and cheese 4 81 53
Meat and meat alternatives 9 124 36
Fats, oils, and sugars 6 169 74
All food groups 42 772 48
Source: Hogbin, et al. (1999)

Due to an unfortunate oversight, one fresh fruit (orange) was missed during the entire survey period. All analysis has been done with this subtraction, thus the total items surveyed were 42, not 43. Yet, had the orange been included and since most stores did not stock oranges, it likely would have exacerbated the trends for most stores and the fruits and vegetables food group.

The situation in Akron stores is the opposite of an ideal nutritional situation. Perishability likely plays a factor in these deficits: meats, fruits, and vegetables usually have shortened-shelf lives and go bad more easily than do fats, oils, and sugars. This is supported by Curtis and McClellan (1995, 116).

Cost
All food items were standardized to common units. In most cases, this unit was ounces. Those items not standardized by ounces were melons (halves), celery (stalks), lettuce (heads), bread (loaves), hamburger buns (buns), and eggs (eggs). Apples, green pepper, onions, and potatoes were split amongst weight (ounces) and quantity (count) items, because some were sold at different measures. All of those food items counted on the basis of their quantity undoubtedly varied in weight, thus making a precise comparison in most cases impossible.

The mean price for each individual food item amongst all the stores was compared with the price from the control store. Also, the prices of a given store were contrasted with those of all other stores to see which stores were more affordable.

Only seven of the products that had standard units (38 did) were more inexpensive on average than the control (primarily produce and meats) and eight items had lower median prices than the control (Table 12). Often produce was not labeled with a price, so I had to ask the store manager for the price. A number of them told me that they haggled with customers or that they would deliberately undersell the item just to sell it. There is also the possibility that they told me a lower price when asked, just to make it seem as if their store was less expensive.

Table 12: Inner-city Store Items Less Expensive Than Control Store

  Mean Items Less
Expensive Than Control
Price Difference ($) Median Items Less
Expensive Than Control
Price Difference ($)
1 Bananas 0.16 Bananas 0.10
2 Carrots 0.57 Carrots 0.60
3 Celery 0.82 Lettuce 0.70
4 Lettuce 0.58 Bagels 0.20
5 Bagels 0.20 Bread crumbs 0.20
6 Ground beef5 0.31 Ground Beef 0.28
7 Chicken 0.24 Chicken 0.41
8 -- -- Garbanzo beans 0.12

The items that are less expensive than the control store are some items that are typically less available in stores. These items numbered less than ten, indicating that these results should suggest a lower confidence of being truly less expensive. These items had the following counts: bananas (7), carrots (5), lettuce (10), bagels (2), bread crumbs (10), ground beef (4), chicken (5), and garbanzo beans (8).

One explanation for the less expensive produce could be that some grocery owners/managers will stock produce items, even though they might not be in high-demand or may not make any profit on them, but perhaps stock them on principle. A number of store managers stated that they carry certain items that are in low demand simply because they believe that their store should have those items. Unfortunately, as a result of them often being smaller stores, they will sit longer on shelves and therefore the condition of the produce is often poorer than larger supermarkets. All standard unit food items and their prices are shown in Table 13.

Table 13: Price Difference Between Stores Surveyed and Control

Food Item Average unit size Mean Cost ($) Median Cost ($) Control Cost ($)
Bananas 1 pound 0.43 0.49 0.59
Melons 1 half-melon 1.29 1.29 0.74
Carrots 2 pounds 1.21 1.18 1.78
Celery 1 stalk 1.21 1.34 1.29
Lettuce 1 head 1.21 1.09 1.79
Peaches 15.25 ounces 1.26 1.29 0.68
Tomato sauce 15 ounces 0.99 0.99 0.40
Orange juice 1 half-gallon 2.67 2.49 1.70
Green beans 14.5 ounces 1.08 0.89 0.63
Peas 1 pound 1.38 1.41 1.29
Bread crumbs 15 ounces 1.73 1.29 1.49
Bread 1 loaf 1.34 1.29 0.89
Hamburger buns 8 buns 1.51 1.79 0.89
Corn flakes 18 ounces 3.20 2.99 1.87
Flour 5 pounds 3.49 2.29 1.59
Macaroni 1 pound 1.20 1.29 0.89
Noodles 1 pound 1.15 1.22 0.66
Rice 1 pound 0.86 0.80 0.58
Evaporated milk 12 ounces 1.29 1.29 0.89
1% milk 1 gallon 2.64 2.79 2.49
Whole milk 1 gallon 2.88 2.89 2.49
Cheddar cheese 8 ounces 2.39 2.24 2.00
Tuna 6 ounces 0.99 0.99 0.69
Kidney beans 15.5 ounces 0.83 0.78 0.38
Garbanzo beans 15.5 ounces 1.10 0.84 0.96
Eggs 1 dozen 1.15 1.19 0.83
Margarine 1 pound 1.11 1.09 0.79
Shortening 3 pounds 4.20 3.09 2.27
Salad dressing 16 ounces 3.02 3.19 2.00
Vegetable oil 48 ounces 3.59 3.34 2.19
Brown sugar 1 pound 1.12 1.09 0.70
Granulated sugar 5 pounds 3.20 2.99 2.00

Only 11 stores had an average cost less than the average, while 27 were greater than the average cost.6 Four were between 150 percent to 200 percent average cost. This comparison was made by comparing each item's per unit price to the median price for that item for all stores (Fig. 8 shows the distribution of average food costs per store). The central core is the most expensive region in the study area, with much of the periphery, especially in the east and part of the south being overall less expensive.

Figure 8. Mean Price of Food Items per Store

The only item that did not have a more frequent unit size to utilize was the bagels. Since only two stores had bagels, the average of the two sizes (21 oz and 22 oz) was used (21.5 oz). Also, the non-standard unit items (apples, green peppers, onions, and potatoes) had to be discounted.

Acceptance of public assistance
Less than eight percent of the stores surveyed accepted WIC coupons, even though more than three-fourths accepted food stamps (Table 14). Only one in ten that did accept food stamps also took WIC (Fig. 9). When asked if WIC was accepted, four store managers said that they had recently applied for the program. One also said that it had been turned down for it, likely due to a lack of available items. Two also said that in the future they would apply or re-apply for the food stamp program. The control store accepted both food stamps and WIC.

Table 14: Acceptance of Public Assistance Income

Status Count Percentage of Total
Food Stamps: Accept 29 76
Food Stamps: Do not accept 9 24
WIC: Accept 3 8
WIC: Do not accept 35 92

Figure 9. Acceptance of Public Assistance Income per Store: Food Stamps and Women, Infants, Children (WIC)

Two of the pre-conditions for a store to be an approved WIC vendor are as follows (Ohio Department of Health, 2001b):

There was a significant correlation between the acceptance of WIC and the availability of items (Table 15). Both WIC and food stamps correlate with availability of food items when including the control store into the analysis (Table 16).

Table 15: Public Assistance Correlated with Item Availability

Variable Significance Pearson
Food stamps .059 .258
WIC .012 .368

Table 16: Public Assistance Correlated with Item Availability (Including Control Store)

Variable Significance Pearson
Food stamps .047 .272
WIC .001 .471

It could not be verified how many other stores may potentially be able to become WIC vendors based upon the availability of the food items. One of the items was omitted from the survey (peanut butter) because it was not on the USDA recommended list and four other items were surveyed in a way that does not clearly apply to WIC (Ohio Department of Health, 2001a). Specific types of milk, cheese, cold cereal, and beans were surveyed rather than any kind allowed by the WIC program.

Other
Store names
The stores surveyed used different naming conventions, such as "Carry-out" (four stores), "Market" (21 stores), and "Mart" (six stores). A very moderate hierarchy could be found in these store names and the availability of food items in them (Table 17). This phenomenon is a coincidence and not a planned pattern since there are no legal requirements regarding store names for grocery store businesses.

Table 17: Items Available Contrasted to Store Labels

Label Count Mean Number of Items Median Number of Items
Carry-out 4 16.5 18
Market 21 20.7 21
Mart 6 19.7 18

The "Markets" had more items than both the "Marts" and "Carry-outs", while the "Marts" were marginally better stocked than the "Carry-outs". However, this was not a significantly correlated relationship and should not be interpreted as such. Ethnic grocery stores named "Markets", which had far fewer items than average, significantly affected these results.

Brands
Some food items were dominated by a majority brand throughout the city. These items include carrots (Look Mom!), peaches (Del Monte), bread (Wonder), corn flakes (Kelloggs), flour (Gold Medal), evaporated milk (Carnation), tuna (Starkist), and brown sugar (Domino). For the food items listed, more than half of the stores that carried that item were of the same brand name; for example, 25 stores had peaches, of which 15 (60 percent) were of the Del Monte brand. Other items were close to having a dominant brand, but fell short of having a majority.

An important reason that the control store had, on average, far lower prices than the others was due to its in-house or store brands. More than two-thirds of all surveyed items were of the brands "Best" or "Acme".7


[5] Ground beef and chicken price differentials (for both mean and median) were assumed to be per pound, even though that was not the most prevalent size.

[6] Snow (2002) noted in February 2002 that Akron-area food prices rose 2.96 percent recently, the largest quarterly increase in more than a year. She indicates that this represents a national trend that will see food prices rise up to three percent in the coming year.

[7] For more on the issue of product brands, see Klein (2000).