Martin Shields
Penn State University
Summary
A thorough understanding of the local retail market is a crucial
aspect of any downtown revitalization effort. These tools can help
small town revitalization programs in their efforts to assess strengths
and weaknesses of the local retail market.
Overview
Many downtowns are struggling. In quite a few places, boarded buildings
and empty storefronts now dominate once prosperous streets. Seeking
to reverse years of decline, a number of communities are initiating
downtown revitalization programs.
A few simple tools can help inform business people, community leaders
and other citizens of your community of the history and current
status of the local retail sectors. By knowing the relative strengths
and weaknesses of the local retail market compared to those of neighboring
communities, it is hoped that businesses will develop improved business
plans and capitalize on areas of opportunity for business development.
It is also hoped that by better understanding the performance of
the local retail sector, community leaders can foster an environment
more conducive to local business development.
While consultants may be better positioned to provide in-depth
analyses of your local retail sector, there are a few low-cost tools
that your community can adopt to increase your understanding of
current and recent retail trends. These tools include:
· Per Capita Sales measure total retail sales per person
in a county. When compared to other counties or the state, communities
can identify local retail strengths and opportunities. Used over
time, it helps you better understand long-term performance trends.
· Pull Factors are another measure of the relative strength
of the community's retail market. The pull factor is calculated
by dividing a county's per capita sales by the state average, adjusting
for income differences. If the community's income-adjusted per capita
sales are greater than the state average, then the pull factor is
greater than one. This indicates any area of local retail strength.
In addition to introducing tools, we provide some suggestions on
actions a community might consider as it tries to enhance its retail
abilities.
Methods
1. Per Capita Sales Analysis Provides a Basic Understanding of
the Local Retail Sector
Per Capita Sales is perhaps the simplest measure of local retail
market performance. It measures the average amount of retail sales
per person in a county. These ratios are relative and vary by size
of the community. They are especially helpful when comparing retail
sectors across communities.
You can adopt this worksheet for
your community.
On-line per capita
analysis for New York and Pennsylvania is available here.
On-line analysis for New York is forthcoming.
Example
Valencort County is interested in learning about its apparel and
accessory retail sector. Some people feel there is little room for
expansion in this field. Others argue the county could support more
apparel stores or existing apparel stores should expand. Valencort's
downtown development group uses the per capita sales ratio to compare
its retail apparel sector with similar counties.
Data Needed
1. The total sales in a particular retail sector, defined by SIC
code, for each county of interest. This data is available from the
Census
of Retail Trade, which is conducted every 5 years by the US
Census Bureau. The most recent available year is 1997. Definitions
are provided at the end of this document.
2. An estimate of the local population is needed, as well as population
estimates for three or four comparison communities for each of the
years for which you gather retail sales data. Annual population
estimates are available from the Bureau
of Economic Analysis (BEA).
How to Calculate the Per Capita Sales Ratio
The total retail sales in a particular place divided by the number
of people who live in that place yields the per capita sales ratio.
Per Capita Sales = Total Sales in a County/County Population
The following table shows an example for computing the ratios:
| County |
Total
Retail Sales in
Apparel and Accessories |
|
Population |
|
Per
Capita Sales in Apparel and Accessories |
| Valencort |
$1,000,000 |
/ |
5,000 |
= |
$200 |
| Kelsey |
$1,500,000 |
/ |
6,000 |
= |
$250
|
| Smith |
$750,000 |
/ |
4,500 |
= |
$167 |
| Clinton |
$2,500,000 |
/ |
8,000 |
= |
$312
|
| State |
$13,750,000,000 |
/ |
5,000,000 |
= |
$275
|
Valencort Per Capita Sales ratio = $1,000,000 / 5,000 = $200
State Per Capita Sales ratio = $13,750,000,000 / 5,000,000 = $275
Interpretation
For the state average, retail apparel sales total $275 per person.
However, in Valencort retail sales per person are only $200 per
person. Why does Valencort have such a low ratio? If the community
is selling less per person than the state average, it might mean
that local residents are making many purchases outside the community.
Such an instance would be a retail leakage, and could indicate a
new opportunity.
Per Capita Sales ratios have no single critical value. Rather,
the critical value is the average of several similar?sized communities.
A Per Capita Sales ratio larger than the average indicates each
the county is selling more customers than the average for similar?sized
communities.
2. Pull Factors Help You Determine the Export Strengths
of Your Local Retail Market
One method to estimate if a community is drawing retail sales from
outside its municipal boundaries is a ratio called the pull factor.
A merchant can look at the change in pull factors over time to determine
their success in attracting customers from outside the local boundaries.
Pull factors should be compared over several time periods to determine
trends.
You can adopt this worksheet for
your community.
On-line per capita
analysis for Pennsylvania is available here.
On-line analysis for New York is forthcoming.
Example
Valencort County's revitalization group wants to know what portion
of its automobile customers are coming from outside its boundaries.
They are interested if they have improved on their ability to attract
outsiders between the years 1992 and 1997.
Data Needed
1. Per Capita Sales Ratios for a particular sector for two time
periods (e.g., Valencort per capita auto sales for 1992 and 1997).
2. An estimate of per capita income (total income divided by total
population) for each county of interest and the state, for each
of the years for which you gather sales data. This information is
also available from the Bureau of Economic Analysis (BEA) (http://fisher.lib.virginia.edu/reis/).
How to Calculate Pull Factors
Pull factors look at how local retail sectors fare relative to
the state average. Thus, the method can help you identify strengths
and opportunities. Realizing that some regions are wealthier than
others, and that per capita retail sales are usually higher in wealthier
areas, the method takes into account relative differences in per
capita income.
Calculating the pull factor for a retail sector involves two parts.
First, divide the county per capita sales ratio by the state per
capita sales ratio for the same year. Second, adjust for income
differences by multiplying the per capita sales ratio by the ratio
of state per capita income to local per capita income. These steps
are shown in the following formula.
Valencort's per capita auto sales was $2,500 in 1992 and $3,000
in 1997. The State's per capita auto sales was $2,700 in 1992 and
$2,900 in 1997.
Valencort's per capita income was $21,000 in 1992 and $22,000 in
1997. The State's per capita auto income sales was $22,000 in 1992
and $25,000 in 1997.
Using the above formula and the county and state data, it is possible
to calculate a pull county pull factor for 1992 and 1997 auto sales.
1992 Valencort Auto Sales Pull Factor = 0.97
1997 Valencort Auto Sales Pull Factor = 1.17
[The 1997 calculation is: 1.17 = ($3,000 / $2,900) * ($25,000 /
$22,000)]
Interpretation
Strictly, interpreting a pull factor of one (1) means the community
is drawing all of its customers from within its boundaries but none
from the outside. Because the 1992 pull factor for Valencort auto
sales is less than one, it seems Valencort was losing auto sales
to other counties that year. The 1997 Valencort auto sales pull
factor is 1.17. It means the county attracted outside purchases
equal to 117 percent of the Valencort population.
Together, the 1992 and 1997 pull factors of 0.97 and 1.17, respectively,
indicate the community improved its ability to attract outsiders.
Valencort might want to ask itself why this occurred. It should
also ask similar questions if the pull factor declines. A pull factor
less than one suggests that the community is not even capturing
the shoppers within its municipal boundaries or they are spending
relatively less than the state average.
Remember, additional insights can be gained by comparing your county
to neighboring counties.
How this Information is used in Community Development
The tools provided here point to the ability of the community to
capture retail dollars. An inevitable question, then, is what steps
can a community take to improve its capacity to keep retail dollars
at home.
If the community wishes to improve its capacity to attract local
dollars, it might want to focus its efforts on the trade and services
sector. In some cases, a merchant group may need to be activated
to address the problem. In other cases, action may require education,
better marketing or the development of special financial packages
for retailers. Each community will have a distinct approach reflecting
local conditions in addressing its ability to capture local dollars.
A partial list of things that can be done includes:
· Identify market potential of retail outlets through survey
of consumer needs and buying habits. Improve share of retail market
captured through a downtown analysis and renewal through consumer
and merchant surveys.
· Aid employers in developing employee-training programs
to improve quality of service.
· Expand purchases by non-local people (tourists, neighboring
citizens) through appropriate advertising. Encourage local citizens
and businesses to buy locally through informational programs about
locally available goods and services.
· Take collective action through the formation of organizations
such as a downtown revitalization group or chamber of commerce.
A Few Caveats
The tools just described are used mainly for comparison purposes
to help communities to assess growth or decline. However, these
tools do not tell us why the causes of growth or decline, or what
can be done to do to alter the situation. The community needs to
conduct further analysis after they have used the pull factors and
trade area capture. Another limitation is there is no definite standard
for a community to judge whether it has a "good" or "bad"
pull factor or trade area capture because these tools were only
intended for comparative purposes.
For More Information
While this tool offers fundamental suggestions for revitalization
efforts, communities may be interested in alternative materials.
Here are some other available training resources and networking
organizations.
Pennsylvania agencies offering assistance:
Pennsylvania Main Street and
Commercial Reinvestment Programs
Department of Community and Economic Development
576 Forum Building
Harrisburg, PA 17120
Phone: 717-720-7300
The Main Street program is designed to help a community's downtown
economic development effort through the establishment of a local
downtown revitalization organization and management of downtown
revitalization by a professional downtown coordinator. The Commercial
Reinvestment program works in conjunction with the Main Street program
by using business district strategies to support eligible commercial
related projects located within a central business district.
Pennsylvania Downtown Center
(PDC)
1230 North Third Street
Harrisburg, PA 17120-2020
Phone: 717-233-4675
The PDC is a statewide, non-profit organization, which advocates
for the preservation and economic vitality of the Commonwealth's
downtowns and business districts, and advises communities on economic
development. The Pennsylvania Downtown Center is committed to helping
communities through education, training, strategic partnerships,
and advocacy efforts.
New York agencies offering assistance:
New York
State Main Street Alliance
43 Warren Hall
Cornell University
Ithaca, NY 14853
Phone: 607-255-9510
Contact: Rod Howe
The New York Main Street Alliance (NYMSA) is a not-for-profit statewide
organization dedicated to Main Street revitalization.
National agencies offering assistance:
National Main Street Center
1785 Massachusetts Ave., NW
Washington, DC 20036
Phone: 202-673-4219
The Main Street program is designed to improve all aspects of the
downtown or central business district, producing both tangible and
intangible benefits. The National Main Street Center assists states,
communities and others in the revitalization of business districts
within a preservation context. Delivers consultation and information
services to states and communities under contract. Provides information
and consultation on downtown revitalization through technical assistance,
the National Main Street Network, conferences, products and Main
Street Certification Institute.
Some Useful Written Materials:
Revitalizing Downtown
Explains successful main street methodology, a comprehensive strategy
to improve downtown's image and management. Contains important information
on organization, promotion, design and economic restructuring, plus
an extensive bibliography and useful list of organizations. Published
by the National Trust for Historic Preservation. Washington, DC:
National Main Street Center, National Trust for Historic Preservation,
Rev. 1988.
Strategic Retail Market Analysis
Success in revitalizing downtowns can be improved with a better
understanding of how the markets function. Provided are ways to
conduct a productive retail market analysis, an essential part of
any revitalization effort. Dolores Palma. Washington, DC: Hyett
Palma Publications, 1991.
Retail Data Sources and Definitions
Every 5 years (years ending in 2 and 7), the U.S.
Department of Census conducts an Economic Census. Censuses are
prepared for most sectors of the economy, and businesses are required
to participate. The survey provides substantial information on a
variety of business characteristics, including payroll and sales.
One of the most important of these censuses is the Census
of Retail Trade, which reports county level retail sales for
10 categories, in addition to total retail sales. These categories
are defined as:
Automotive Dealers
Included are retail outlets selling automobiles--new and used, domestic
and imported. In addition to these categories, sales for auto and
home supply stores (tire dealers and parts and accessories stores),
boat dealers, motorcycle dealers, and miscellaneous automotive dealers
selling aircraft, dune buggies, snowmobiles, and utility trailers
are also included.
Drug Store Sales
Totals here reflect sales form establishments engaged in the retail
sale of prescription drugs, proprietary drugs, and nonprescription
medicines. Stores in this category also carry a number of related
items, such as cosmetics, toiletries, tobacco, and novelty items.
Eating and Drinking Places
Includes establishments selling prepared foods and drinks for consumption
on the premises or for takeout, as well as lunch counters and refreshment
stands selling prepared foods and drinks for immediate consumption.
Also under Eating Places are caterers and institutional food services;
concession stands at stadiums, amusement parks, and airports; fast-food
restaurants and commissaries and other miscellaneous eating places.
Drinking Places include bars, cocktail lounges, nightclubs, and
other miscellaneous establishments.
Food Stores
Retail stores primarily engaged in selling food for home preparation
and consumption. Included in this category are grocery stores; meat
and fish markets; fruit and vegetable markets; candy, nut, and confectionery
stores; bakeries; and miscellaneous food stores such as health food,
coffee, spice, vitamin, and poultry stores.
Home Furnishings
Sales from a broad array of subgroups including furniture stores;
floor covering stores (carpet, rug, and tile); drapery, curtain,
and upholstery stores; home furnishings stores (bedding, china,
cookware, lamps, pottery, etc.); and household appliance stores
(air conditioners, freezers, sinks, cabinets, stoves, etc.). Perhaps
the most important subgroup, however, is that of radio, television,
consumer electronics, and music stores, which includes computer
and software stores as well as record and tape stores.
General Merchandise Stores
This category includes retail stores that sell a number of lines
of merchandise, such as dry goods, apparel and accessories, furniture
and home furnishings, housewares, hardware, and food. Stores included
in this group are department stores, limited-price variety stores,
and miscellaneous general merchandise stores such as general stores,
catalog stores, although catalog and mail-order operations are not
included in this category.
Building Materials and Hardware Stores
This category includes retail stores such as lumberyards, floor-covering
stores, paint, glass and wallpaper stores and general-purpose hardware
stores. Also included in the category are retail nurseries, lawn
and garden supply stores.
Gas Service Stations
Gasoline service stations primarily engage in selling gasoline and
lubricating oils. These establishments frequently sell other merchandise,
such as tires, batteries, and other automobile parts, or perform
minor repair work.
Apparel & Accessories Stores
This major group includes retail stores primarily engaged in selling
new clothing,shoes, hats, underwear, and related articles for personal
wear and adornment. This would include men's clothing stores, women's
clothing stores and family clothing stores.
Miscellaneous Retail
This category includes retail establishments not elsewhere classified
and is generally comprised of specialty stores such as sporting
good stores, book stores, jewelry stores, camera stores, gift, novelty,
and souvenir stores and liquor stores.
*Martin Shields is Assistant Professor of Agricultural
and Regional Economics, Dept of Agricultural Economics and Rural
Sociology, Penn State University
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