Staff Paper No. 98.3
Tables
Small Cities and Villages in Wisconsin
Sorted by Population Group
Population 2,500-5,000
ALGOMA KEWASKUM PESHTIGO
AMERY KEWAUNEE PRAIRIE DU SAC
BARRON KIEL PRESCOTT
BLACK RIVER FALLS LADYSMITH PULASKI
BLOOMER LAKE MILLS SAUK CITY
BOSCOBEL LANCASTER SAUKVILLE
BRILLION LODI SEYMOUR
BRODHEAD MARSHALL SLINGER
CHILTON MAUSTON SPOONER
CLINTONVILLE MAYVILLE THIENSVILLE
COLUMBUS MEDFORD TOMAHAWK
COTTAGE GROVE MILTON TWIN LAKES
CROSS PLAINS MINERAL POINT UNION GROVE
DODGEVILLE MOSINEE VIROQUA
EAST TROY MOUNT HOREB WALES
EDGERTON NEILLSVILLE WATERFORD
ELLSWORTH NEKOOSA WATERLOO
EVANSVILLE NEW HOLSTEIN WEST SALEM
HOLMEN OCONTO
HORICON OCONTO FALLS
HOWARDS GROVE OMRO
JACKSON PARK FALLS
Population 5,000-7,500
ALTOONA KIMBERLY PLYMOUTH
BERLIN LAKE GENEVA PRAIRIE DU CHIEN
DE FOREST MCFARLAND REEDSBURG
DELAFIELD MUKWONAGO RICHLAND CENTER
DELAVAN NEW LONDON SHEBOYGAN FALLS
ELKHORN NEW RICHMOND STURTEVANT
ELM GROVE OREGON VERONA
JEFFERSON PEWAUKEE WAUPACA
Population 7,500-10,000
ANTIGO HUDSON SPARTA
ASHLAND PORTAGE STURGEON BAY
BURLINGTON RHINELANDER SUSSEX
GRAFTON RICE LAKE TOMAH
HARTFORD RIPON WAUNAKEE
HARTLAND SHAWANO
Population 10,000-15,000
BARABOO MARINETTE PLOVER
BEAVER DAM MENOMONIE PORT WASHINGTON
CEDARBURG MERRILL RIVER FALLS
CHIPPEWA FALLS MONROE STOUGHTON
FORT ATKINSON OCONOMOWOC TWO RIVERS
KAUKAUNA ONALASKA WHITEWATER
LITTLE CHUTE PLATTEVILLE WAUPUN
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Retail Stores Per Community
Cities and Villages with Population of 2,500 - 5,000
(63 Wisconsin communities)
Source: American Business information, 1998 database
Downtown Non-Downtown* SIC Store Type Ave No. % Mix Ave No. % Mix
521, 523 Building Material 1.5 6.6% 3.5 7.6% 525 Hardware 0.5 2.3% 0.8 1.7%
526 Lawn/Garden 0.3 1.3% 2.3 5.0% 527 Mobile Homes 0.0 0.1% 0.2 0.5% 531,
533, 539 Department/Variety 0.5 2.3% 0.5 1.1% 541101, 541105 Food-Grocery
0.4 2.0% 1.3 2.8% 541103 Food-Convenience 0.8 3.5% 2.1 4.6% 542-549 Specialty
Foods 0.8 3.7% 2.1 4.6% 551-552 Auto/Truck 0.5 2.3% 2.5 5.5% 553 Auto supply
1.0 4.4% 1.9 4.2% 554 Gas Stations 0.4 2.0% 0.9 1.9% 555-559 Boat/RV/SnowM
0.1 0.3% 1.1 2.4% 561, 562, 563, 564, 565, 569 Apparel 0.8 3.5% 0.9 1.9% 566
Shoe 0.2 0.8% 0.1 0.2% 5712 Furniture 0.5 2.4% 1.0 2.2% 5713, 5714, 5719 Home
Furnishing 0.4 1.6% 0.8 1.8% 572 Appliance 0.5 2.4% 0.9 2.0% 573 Radio/TV/Comp/Music
1.0 4.3% 1.6 3.4% 5812 Eating Places 3.1 13.7% 8.0 17.3% 5813 Drinking places
2.8 12.2% 4.0 8.6% 591 Drug 0.7 3.0% 0.5 1.0% 5921 Liquor 0.3 1.1% 0.5 1.2%
593 Antiques/Used 0.9 3.9% 1.1 2.3% 5941 Sporting Goods 0.4 1.9% 1.2 2.7%
5942 Book 0.1 0.5% 0.1 0.1% 5943 Office Supply 0.2 0.8% 0.1 0.2% 5944 Jewelry
0.4 2.0% 0.3 0.6% 5945 Hobby/Toy 0.3 1.3% 0.5 1.1% 5946 Camera 0.0 0.0% 0.0
0.0% 5947 Gift 1.1 4.9% 1.0 2.2% 5948 Luggage 0.0 0.0% 0.0 0.0% 5949 Sewing
0.1 0.4% 0.1 0.3% 5992 Flower 0.4 1.8% 0.7 1.5% 596-598, 5993-5999 Other 1.5
6.9% 3.5 7.6% Total 22.5 100.0% 46.0 100.0%
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*Non-Downtown includes the entire zip code area excluding the downtown area.
Retail Stores Per Community
Cities and Villages with Population of 5,000 - 7,500
(24 Wisconsin communities)
Source: American Business Information, 1998 database
Downtown Non-Downtown* SIC Store Type Ave No. % Mix Ave No. % Mix
521, 523 Building Material 2.4 5.8% 5.5 7.0% 525 Hardware 0.6 1.4% 1.0 1.3%
526 Lawn/Garden 0.5 1.2 3.7 4.7% 527 Mobile Homes 0.0 0.0 0.4 0.5% 531, 533,
539 Department/Variety 0.4 1.0% 1.1 1.4% 541101, 541105 Food-Grocery 0.6 1.4%
1.7 2.2% 541103 Food-Convenience 1.1 2.6% 3.4 4.3% 542-549 Specialty Foods
1.7 4.0% 4.0 5.0% 551-552 Auto/Truck 1.0 2.5% 3.8 4.7% 553 Auto supply 1.6
3.9% 3.4 4.3% 554 Gas Stations 0.7 1.7% 1.4 1.7% 555-559 Boat/RV/SnowM 0.1
0.2% 2.0 2.5% 561, 562, 563, 564, 565, 569 Apparel 2.7 6.5% 2.2 2.7% 566 Shoe
0.7 1.6% 0.2 0.3% 5712 Furniture 1.0 2.4% 3.0 3.8% 5713, 5714, 5719 Home Furnishing
1.2 2.8% 2.1 2.6% 572 Appliance 1.4 3.4% 1.2 1.5% 573 Radio/TV/Comp/Music
2.0 4.7% 4.1 5.1% 5812 Eating Places 6.1 14.5% 13.8 17.3% 5813 Drinking places
2.8 6.8% 3.5 4.4% 591 Drug 0.9 2.1% 1.0 1.3% 5921 Liquor 0.8 1.8% 1.1 1.4%
593 Antiques/Used 1.4 3.3% 1.9 2.4% 5941 Sporting Goods 1.2 2.8% 2.3 2.9%
5942 Book 0.4 1.0% 0.4 0.5% 5943 Office Supply 0.3 0.6% 0.4 0.5% 5944 Jewelry
1.2 2.9% 0.2 0.3% 5945 Hobby/Toy 0.5 1l.1% 0.8 1.0% 5946 Camera 0.0 0.0% 0.0
0.1% 5947 Gift 2.5 5.9% 1.9 2.4% 5948 Luggage 0.0 0.1% 0.0 0.1% 5949 Sewing
0.2 0.4% 0.3 0.4% 5992 Flower 0.7 1.6% 0.7 0.8% 596-598, 5993-5999 Other 3.4
8.1% 6.8 8.6% Total 41.8 100.0% 79.3 100.0%
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*Non-Downtown includes the entire zip code area excluding the downtown area.
Retail Stores Per Community
Cities and Villages with Population of 7,500 - 10,000
(17 Wisconsin communities)
Source: American Business information, 1998 database
Downtown Non-Downtown* SIC Store Type Ave No. % Mix Ave No. % Mix
521, 523 Building Material 2.5 4.6% 9.5 8.0% 525 Hardware 0.5 1.0% 1.4 1.2%
526 Lawn/Garden 0.6 1.2% 4.2 3.5% 527 Mobile Homes 0.1 0.1% 0.6 0.5% 531,
533, 539 Department/Variety 0.6 1.1% 2.6 2.2% 541101, 541105 Food-Grocery
0.8 1.5% 2.5 2.1% 541103 Food-Convenience 1.4 2.6% 4.5 3.8% 542-549 Specialty
Foods 2.1 3.8% 4.3 3.6% 551-552 Auto/Truck 0.8 1.4% 5.6 4.8% 553 Auto supply
2.1 3.8% 5.9 5.0% 554 Gas Stations 1.4 2.6% 2.5 2.1% 555-559 Boat/RV/SnowM
0.4 0.6% 3.4 2.9% 561, 562, 563, 564, 565, 569 Apparel 3.2 5.9% 3.7 3.1% 566
Shoe 1.4 2.4% 0.8 0.6% 5712 Furniture 1.8 3.3% 3.6 3.1% 5713, 5714, 5719 Home
Furnishing 1.0 1.8% 3.7 3.1% 572 Appliance 1.4 2.6% 2.1 1.8% 573 Radio/TV/Comp/Music
2.9 5.2% 4.7 4.0% 5812 Eating Places 7.1 12.8% 19.4 16.4% 5813 Drinking places
5.5 10.0% 7.3 6.2% 591 Drug 1.2 2.2% 0.9 0.8% 5921 Liquor 0.6 1.1% 1.1 0.9%
593 Antiques/Used 2.5 4.5% 2.6 2.2% 5941 Sporting Goods 1.1 1.9% 3.4 2.9%
5942 Book 1.0 1.8% 0.2 0.1% 5943 Office Supply 0.4 0.7% 0.6 0.5% 5944 Jewelry
1.9 3.4% 0.5 0.4% 5945 Hobby/Toy 0.7 1.3% 1.1 0.9% 5946 Camera 0.1 0.1% 0.0
0.0% 5947 Gift 4.1 7.3% 3.1 2.6% 5948 Luggage 0.0 0.0% 0.0 0.0% 5949 Sewing
0.2 0.4% 0.2 0.2% 5992 Flower 0.8 1.5% 1.0 0.8% 596-598, 5993-5999 Other 5.6
10.1% 11.4 9.6% Total 57.8 100.0% 118.4 100.0%
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*Non-Downtown includes the entire zip code area excluding the downtown area.
Retail Stores Per Community
Cities and Villages with Population of 10,000 - 15,000
(21 Wisconsin communities)
Source: American Business Information, 1998 database
Downtown Non-Downtown* SIC Store Type Ave No. % Mix Ave No. % Mix
521, 523 Building Material 3.4 5.6% 8.8 6.8% 525 Hardware 0.5 0.9% 1.2 0.9%
526 Lawn/Garden 0.3 0.5 5.9 4.6% 527 Mobile Homes 0.0 0.0 0.6 0.5% 531, 533,
539 Department/Variety 0.6 0.9% 2.4 1.8% 541101, 541105 Food-Grocery 0.7 1.1%
2.9 2.2% 541103 Food-Convenience 1.0 1.6% 5.2 4.1% 542-549 Specialty Foods
2.5 4.2% 5.4 4.2% 551-552 Auto/Truck 1.2 2.1% 6.1 4.7% 553 Auto supply 2.3
3.8% 5.3 4.1% 554 Gas Stations 1.4 2.4% 2.2 1.7% 555-559 Boat/RV/SnowM 0.6
1.0% 3.3 2.5% 561, 562, 563, 564, 565, 569 Apparel 3.9 6.4% 3.5 2.7% 566 Shoe
0.5 0.9% 0.9 0.7% 5712 Furniture 1.5 2.5% 3.8 2.9% 5713, 5714, 5719 Home Furnishing
1.3 2.2% 3.4 2.7% 572 Appliance 1.1 1.7% 2.8 2.2% 573 Radio/TV/Comp/Music
2.5 4.1% 5.5 4.2% 5812 Eating Places 10.0 16.6% 20.9 16.2% 5813 Drinking places
5.6 9.2% 8.2 6.4% 591 Drug 1.0 1.7% 1.3 1.0% 5921 Liquor 0.5 0.8% 1.4 1.1%
593 Antiques/Used 3.1 5.2% 3.2 2.5% 5941 Sporting Goods 1.9 3.1% 3.6 2.8%
5942 Book 0.8 1.3% 0.5 0.4% 5943 Office Supply 0.5 0.8% 0.8 0.6% 5944 Jewelry
1.5 2.5% 1.1 0.9% 5945 Hobby/Toy 0.9 1.5% 1.1 0.9% 5946 Camera 0.2 0.4% 0.1
0.1% 5947 Gift 3.2 5.3% 3.9 3.0% 5948 Luggage 0.0 0.0% 0.1 0.0% 5949 Sewing
0.1 0.2% 0.3 0.3% 5992 Flower 0.7 1.1% 1.4 1.1% 596-598, 5993-5999 Other 5.2
8.6% 12.2 9.5% Total 60.4 100.0% 129.3 100.0%
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*Non-Downtown includes the entire zip code area excluding the downtown area.
Worksheet for Analyzing Your Downtown
Downtown______ Comparison* SIC Store Type Number % Mix Avg No.
% Mix 521, 523 Building Material ______ _____ ______ _____ 525 Hardware
______ _____ ______ _____ 526 Lawn/Garden ______ _____ ______ _____ 527 Mobile
Homes ______ _____ ______ _____ 531, 533, 539 Department/Variety ______ _____
______ _____ 541101, 541105 Food-Grocery ______ _____ ______ _____ 541103
Food-Convenience ______ _____ ______ _____ 542-549 Specialty Foods ______
_____ ______ _____ 551-552 Auto/Truck ______ _____ ______ _____ 553 Auto supply
______ _____ ______ _____ 554 Gas Stations ______ _____ ______ _____ 555-559
Boat/RV/SnowM ______ _____ ______ _____ 561, 562, 563, 564, 565, 569 Apparel
______ _____ ______ _____ 566 Shoe ______ _____ ______ _____ 5712 Furniture
______ _____ ______ _____ 5713, 5714, 5719 Home Furnishing ______ _____ ______
_____ 572 Appliance ______ _____ ______ _____ 573 Radio/TV/Comp/Music ______
_____ ______ _____ 5812 Eating Places ______ _____ ______ _____ 5813 Drinking
places ______ _____ ______ _____ 591 Drug ______ _____ ______ _____ 5921 Liquor
______ _____ ______ _____ 593 Antiques/Used ______ _____ ______ _____ 5941
Sporting Goods ______ _____ ______ _____ 5942 Book ______ _____ ______ _____
5943 Office Supply ______ _____ ______ _____ 5944 Jewelry ______ _____ ______
_____ 5945 Hobby/Toy ______ _____ ______ _____ 5946 Camera ______ _____ ______
_____ 5947 Gift ______ _____ ______ _____ 5948 Luggage ______ _____ ______
_____ 5949 Sewing ______ _____ ______ _____ 5992 Flower ______ _____ ______
_____ 596-598, 5993-5999 Other ______ _____ ______ _____ Total ______ 100.0%
______ 100.0% |
*Average number of businesses and percent mix for the comparison communities can
be obtained from these applicable "Retail Sales Per Community" tables.
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