Some of the hottest markets for furniture and bedding are small metros, with core populations between 10,000 and 50,000. Their populations are growing and so is their potential for furniture and bedding sales. Here are the fastest-growing small metros.
Furniture & bedding sales |
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Small metropolitan area |
2006 estimated |
2011 projected |
% change |
Palm Coast, Fla. |
$24.1 |
$38.8 |
61% |
Heber, Utah |
4.6 |
6.5 |
43 |
Pahrump, Nev. |
11.5 |
16.3 |
42 |
Lake Havasu City-Kingman, Ariz. |
53.5 |
75.8 |
42 |
The Villages, Fla. |
18.7 |
26.2 |
40 |
East Stroudsburg, Penn. |
46.0 |
64.1 |
39 |
Bozeman, Mont. |
23.0 |
31.4 |
37 |
Prineville, Ore. |
6.0 |
8.2 |
37 |
Statesville-Mooresville, N.C. |
40.5 |
55.4 |
37 |
Granbury, Texas |
16.4 |
22.4 |
37 |
Daphne-Fairhope, Ala. |
47.6 |
64.9 |
36 |
Dunn, N.C. |
28.4 |
38.7 |
36 |
Lake City, Fla. |
17.2 |
23.3 |
36 |
Calhoun, Ga. |
13.4 |
18.2 |
36 |
Arcadia, Fla. |
9.0 |
12.2 |
36 |
Lexington Park, Md. |
28.4 |
38.5 |
35 |
Gardnerville Ranchos, Nev. |
$14.3 |
$19.4 |
35 |
Hilton Head Island-Beaufort, S.C. |
47.6 |
64.4 |
35 |
Homosassa Springs, Fla. |
42.5 |
57.5 |
35 |
Oak Harbor, Wash. |
23.7 |
32.0 |
35 |
Hilo, Hawaii |
43.9 |
59.2 |
35 |
Rio Grande City, Texas |
10.7 |
14.5 |
35 |
Seaford, Del. |
52.7 |
70.9 |
34 |
Shelbyville, Tenn. |
11.3 |
15.2 |
34 |
Okeechobee, Fla. |
10.3 |
13.8 |
34 |
Kill Devil Hills, N.C. |
11.2 |
15.0 |
34 |
Statesboro, Ga. |
16.4 |
22.0 |
34 |
Farmington, Mo. |
17.3 |
23.2 |
34 |
Edwards, Colo. |
15.9 |
21.4 |
34 |
Shelton, Wash. |
15.9 |
21.3 |
34 |
Furniture/Today market research worked with Easy Analytic Software Inc., to develop retail sales estimates and projections for U.S. furniture and bedding sales.
2006 sales estimates for each product category are based on data available through November 2006 and are subject to revision as additional data become available. Estimates are based on information from the Department of Commerce, the International Trade Commission, sales estimates from manufacturers and retailers, Furniture/Today's Consumer Buying Trends Surveys, Upholstery and Case Goods Style surveys and the Furniture Store Performance Report and discussions with industry executives and analysts.
Segment figures were aggregated by Furniture/Today and statisticians at EASI. EASI matched demographic data (such as, age and income) gathered by Furniture/Today's Consumer Buying Trends survey against other data sources, such as the Bureau of the Census, the Department of Justice, the National Center for Education Statistics and the Department of Labor, using a series of statistical models to develop estimates by metro markets.
EASI's highly accurate models are regression curves based upon a variety of factors designed to forecast changes that include growth and the interrelationship of variables.
Projections for 2011 are designed to forecast the changes that statistically adjust for household income, age by race and sex, group quarter population and births and deaths, along with other forecasting factors.
Spending forecasts assume a national rate of inflation that does not vary from one location to another.
Data are given for Core-Based Statistical Areas (CBSA), defined as a geographic entity consisting of the county or counties containing one or more cores (urbanized areas or settlement clusters or both) that together have at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core(s) measured through commuting patterns.
Within this broad definition, large metros, called Metropolitan Statistical Areas, have at least one urbanized area of 50,000 or more population. Small metros, called Micropolitan Statistical Areas, have at least one urban cluster with a population of at least 10,000, but less than 50,000.
Both designations include adjacent territory that has a high degree of social and economic integration with the core measured by commuting ties. The designations are mandated by the Office of Management and Budget and are used by government agencies for statistical reporting purposes.
Furniture/Today and Easy Analytic Software have also prepared sales estimates and projections for individual product categories in a series of Product Potential Reports.
Each Product Potential Report gives estimated 2006 sales and projected 2011 sales figures for each specific product (for example, recliners or master bedroom) for 934 metropolitan areas. Each report also provides state-level data for the product.
Product Potential Reports are available for:
Master bedroom
Youth, other adult bedroom furniture
Casual dining
Dining room furniture
Entertainment furniture
Curios
Occasional tables
Desks and other home office furniture
Stationary sofas
Stationary chairs
Reclining chairs
Swivel, glider rockers
Motion sofas
Sofa sleepers and futons
Mattress, boxspring
Infant furniture
Outdoor furniture
Area rugs
Lamps
Wall décor
Also available are Market Potential reports, available for 934 metropolitan areas.
Each report gives the retail spending estimated in 2006 for each of the product categories listed above, along with projected spending in 2011. Armed with this information, retailers can calculate their own share of market in their trading area.
In addition to home furnishings spending estimates, Market Potential Reports also give demographic information on the metro area, including breakdowns by age, income, race and ethnicity, similar to that shown in the "Anatomy of a market" on page 13, showing how these variables are projected to change over time.
Both the Product Potential Reports and Market Potential Reports may be ordered online at www.furnituretoday.com (go to the Research Store) and will be available by mid-February.
State |
2006 estimated |
2011 projected |
% change |
Alabama |
$1,314.4 |
$1,616.2 |
23% |
Alaska |
184.9 |
236.8 |
28 |
Arizona |
1,643.5 |
2,256.7 |
37 |
Arkansas |
779.8 |
978.1 |
25 |
California |
9,583.5 |
12,311.9 |
28 |
Colorado |
1,388.9 |
1,797.4 |
29 |
Connecticut |
1,092.1 |
1,360.7 |
25 |
Delaware |
253.2 |
328.0 |
30 |
District of Columbia |
193.8 |
218.6 |
13 |
Florida |
5,296.6 |
7,063.3 |
33 |
Georgia |
2,525.2 |
3,318.5 |
31 |
Hawaii |
330.6 |
424.2 |
28 |
Idaho |
378.3 |
498.7 |
32 |
Illinois |
3,624.5 |
4,537.8 |
25 |
Indiana |
1,816.1 |
2,278.6 |
25 |
Iowa |
867.0 |
1,069.8 |
23 |
Kansas |
795.0 |
988.7 |
24 |
Kentucky |
1,205.3 |
1,502.8 |
25 |
Louisiana |
1,124.8 |
1,434.9 |
28 |
Maine |
400.1 |
502.0 |
25 |
Maryland |
1,700.6 |
2,151.7 |
27 |
Massachusetts |
1,984.1 |
2,403.6 |
21 |
Michigan |
2,945.2 |
3,661.6 |
24 |
Minnesota |
1,535.4 |
1,931.8 |
26 |
Mississippi |
782.4 |
971.8 |
24 |
Missouri |
1,695.5 |
2,113.2 |
25 |
Montana |
267.6 |
335.5 |
25 |
Nebraska |
511.8 |
638.5 |
25 |
Nevada |
692.4 |
986.1 |
42 |
New Hampshire |
402.0 |
510.4 |
27 |
New Jersey |
2,585.3 |
3,235.8 |
25 |
New Mexico |
512.8 |
656.5 |
28 |
New York |
5,540.4 |
6,774.4 |
22 |
North Carolina |
2,534.2 |
3,291.2 |
30 |
North Dakota |
185.6 |
222.3 |
20 |
Ohio |
3,384.4 |
4,148.9 |
23 |
Oklahoma |
999.9 |
1,241.2 |
24 |
Oregon |
1,050.3 |
1,349.8 |
29 |
Pennsylvania |
3,677.6 |
4,514.0 |
23 |
Rhode Island |
327.3 |
406.4 |
24 |
South Carolina |
1,217.6 |
1,558.6 |
28 |
South Dakota |
218.3 |
271.5 |
24 |
Tennessee |
1,733.6 |
2,186.8 |
26 |
Texas |
6,137.6 |
8,047.5 |
31 |
Utah |
578.1 |
755.3 |
31 |
Vermont |
188.2 |
232.3 |
23 |
Virginia |
2,275.6 |
2,911.7 |
28 |
Washington |
1,843.8 |
2,368.8 |
28 |
West Virginia |
525.4 |
640.4 |
22 |
Wisconsin |
1,640.2 |
2,058.7 |
26 |
Wyoming |
148.9 |
186.0 |
25 |
Total |
$84,619.6 |
$107,485.8 |
27% |