THE 2000 ECONOMIC IMPACT OF EXPENDITURES
BY TRAVELERS ON WISCONSIN


INTRODUCTION

This is the twelfth annual report of the economic impact of traveler expenditures on Wisconsin prepared by Davidson-Peterson Associates. This report covers calendar year 2000.

The purpose of this study is to measure the economic benefits derived by Wisconsin residents and governments from the dollars spent in the area by travelers.

These economic benefits include:

  • Total expenditures made by visitors;
  • Number of full-time equivalent jobs supported by these expenditures;
  • Wages, salaries and proprietary income earned by area residents; and
  • State and local government revenues generated.

The basic procedures employed to develop these measures are outlined in the Technical Appendix of the full report.

The estimates of economic impact developed from these procedures and analyzed in this report may be used to document the importance of tourism as a key segment of Wisconsin's economy, to underscore the need to continue to support the expenditure of time, effort and dollars to promote tourism growth, and to track the results of Wisconsin's tourism marketing efforts.

Beginning with the 1996 report, the Wisconsin Department of Tourism altered the definition of the State's tourism seasons for the economic impact study.

This was changed to reflect what has been determined to be a more appropriate distribution of Wisconsin seasons. These seasons are defined as follows:

  • Wave 1 -- Winter/Spring: December - April
  • Wave 2 -- Summer: May - August
  • Wave 3 -- Fall: September - November

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2000 ESTIMATED TRAVELER EXPENDITURES: $9,971,705,647

  • December - April $2,900,557,805
  • May - August $4,793,915,638
  • September - November $2,277,232,204

 2000 ECONOMIC IMPACT (Annual)

  • Total jobs created (full-time job equivalents): 282,960
  • Total resident income (wages, salaries and proprietary income) generated: $5,565,720,000
  • Total government revenues generated: State - $894,986,000 Local - $647,979,000/LI>< /LI>

2000 HIGHLIGHTS

 

Hotels/Motels/
Resorts

Cabins/
Cottages/
Condos

Campgrounds

Number of properties

1,945

1,116

733

Number of rooms/units/sites

76,492

9,282

58,380

Total available roomnights/
site-nights (millions)

25.61

2.14

8.21

Total occupied roomnights/
site-nights (millions)

15.66

1.21

3.56

Average occupancy rate

61%

56%

43%

Average double rate

$81.80

   
Average unit rate  

$99.07

 
Average site rate    

$17.79

Management's Estimate:
Average party size

2.07

4.24

3.54

Average length of stay

2.15

4.80

2.47

Guest Origin
Out of State

50%

53%

38%

U.S.

47%

53%

38%

Canada

2%

*

*

Other foreign

1%

*

*

Wisconsin

50%

47%

62%

Trip Purpose1
Pleasure

48%

94%

N/A

Business

36%

5%

N/A

Meetings/conventions

16%

1%

N/A

Note: Length of stay as noted throughout this document represents the average number of nights spent in a hotel/motel/resort. It does not necessarily reflect the total number of nights spent in Wisconsin.  Columns of figures may not add to totals shown due to rounding. * Less than 0.5%

WISCONSIN COMPARISON SUMMARY
1999 (Revised) vs. 2000

  1999
(Revised)

2000

Change

Estimated Traveler Expenditures (billions)

$9.081

$9.972

+9.8%

Estimated Economic Impact:
Total full-time job equivalents supported

258,138

282,960

+9.6%

Total resident income (millions)

$5,026.14

$5,565.72

+10.7%

Total government revenues generated:      
State (millions)

$848.78

$894.99

+5.4%

Local (millions)

$583.30

$647.98

+11.1 %

WISCONSIN TOTAL ESTIMATED TRAVELER EXPENDITURES BY SEASON
1999 (Revised) vs. 2000

  1999
(Revised)

2000

% Change

December - April

$2,653,071,725

$2,900,557,805

+9.3%

May - August

$4,352,791,507

$4,793,915,638

+10.1%

September - November

$2,074,810,397

$2,277,232,204

+9.8%

Total

$9,080,673,629

$9,971,705,647

+9.8%


THE 2000 ESTIMATES OF TRAVELER EXPENDITURES

By Accommodation Type

More than half of the total estimated traveler expenditures, $5.66 billion (57%), were spent by travelers staying in Wisconsin overnight at hotels/motels/resorts.

Those camping in Wisconsin spent $628 million (6%), and those staying in cabins/cottages/condominiums spent $513 million (5%) while traveling in Wisconsin.

Visitors with no lodging expenses spent 32% of Wisconsin's 2000 traveler expenditures ($3.18 billion). Travelers who stayed at the homes of family and/or friends spent $2.45 billion (25%) while visiting Wisconsin, and those visiting just for the day or passing through Wisconsin spent nearly $722 million (7%).

By Category of Expenditure

More than half of Wisconsin's total estimated travel expenditures came from shopping and food expenditures ($3.0 billion and $2.4 billion, respectively).

Recreation expenditures represent 24% of traveler expenditures ($2.4 billion), and lodging expenses represent 15% of the total estimated traveler expenditures ($1.5 billion). Six percent of Wisconsin traveler expenditures ($583 million) were spent on transportation.

Seasonal Differences in Traveler Expenditures

Half of all traveler expenditures in Wisconsin ($4.8 billion or 48%) were spent in the summer season (May through August). The winter season (December through April) represents 29% of Wisconsin's total traveler expenditures ($2.9 billion), and the fall season (September through November) accounts for 23% of these expenditures ($2.3 billion).

Fall and summer traveler expenditures increased by 10%, compared to 1999 (revised) while the winter season saw a 9% increase. 

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2000 County by County Traveler Expenditures and Economic Impact 

COUNTY

EXPENDITURES $

 

 

JOBS*

RESIDENT INCOME $

STATE REVENUE $

LOCAL REVENUE $

 

2000

1999 REV.

%CHG

2000

2000

2000

2000

ADAMS

86,268,150

86,042,916

0.26%

2,402

50,316,911

6,750,011

6,179,378

ASHLAND

47,317,959

43,052,109

9.91%

1,324

27,738,809

3,721,159

3,406,580

BARRON

86,440,383

80,424,806

7.48%

2,670

34,333,000

7,878,000

4,292,000

BAYFIELD

106,217,094

103,037,036

3.09%

3,057

36,762,000

8,995,000

4,900,000

BROWN

412,253,639

358,753,108

14.91%

11,163

218,523,000

41,876,000

22,815,000

BUFFALO

16,538,682

16,212,036

2.01%

478

9,998,874

1,341,349

1,227,954

BURNETT

34,542,346

33,533,523

3.01%

956

19,997,746

2,682,696

2,455,908

CALUMET

25,038,089

22,543,600

11.07%

693

14,514,493

1,947,118

1,782,513

CHIPPEWA

70,674,265

63,620,405

11.09%

1,971

41,285,671

5,538,471

5,070,259

CLARK

27,411,025

25,240,721

8.60%

754

15,804,671

2,120,196

1,940,958

COLUMBIA

138,024,002

129,451,299

6.62%

3,835

80,313,531

10,774,056

9,863,239

CRAWFORD

35,302,013

32,151,899

9.80%

985

20,642,835

2,769,235

2,535,129

DANE

882,760,398

795,185,467

11.01%

29,720

484,587,000

91,504,000

49,853,000

DODGE

63,875,020

55,864,623

14.34%

1,771

37,092,595

4,975,970

4,555,311

DOOR

415,538,496

405,175,579

2.56%

13,596

164,880,000

38,122,000

20,770,000

DOUGLAS

99,605,860

89,270,183

11.58%

2,772

58,057,975

7,788,475

7,130,052

DUNN

42,258,716

40,110,735

5.36%

1,186

24,835,911

3,331,736

3,050,078

EAUCLAIRE

171,004,817

155,894,155

9.69%

4,742

99,343,645

13,326,945

12,200,311

FLORENCE

8,076,755

7,757,654

4.11%

215

4,515,620

605,770

554,559

FONDDULAC

126,750,878

115,623,722

9.62%

3,511

73,540,100

9,865,400

9,031,399

FOREST

17,280,727

16,942,976

1.99%

493

10,321,418

1,384,618

1,267,565

GRANT

61,144,063

55,023,581

11.12%

1,708

35,802,417

4,802,892

4,396,865

GREEN

38,870,681

36,394,691

6.80%

1,157

16,114,000

3,472,000

1,892,000

GREENLAKE

48,331,419

45,410,143

6.43%

1,340

28,061,354

3,764,429

3,446,192

IOWA

45,488,780

42,896,948

6.04%

1,263

26,448,633

3,548,083

3,248,135

IRON

49,042,232

48,619,199

0.87%

1,371

28,706,443

3,850,968

3,525,415

JACKSON

56,670,311

53,709,988

5.51%

1,571

32,899,519

4,413,469

4,040,363

JEFFERSON

94,065,693

84,302,680

11.58%

2,633

55,155,076

7,399,051

6,773,549

JUNEAU

83,941,102

81,175,351

3.41%

2,340

49,026,733

6,576,933

6,020,933

KENOSHA

179,368,589

165,996,487

8.06%

4,216

70,699,000

16,524,000

9,002,000

KEWAUNEE

33,972,242

33,334,568

1.91%

939

19,675,202

2,639,427

2,416,295

LACROSSE

200,831,324

208,847,272

-3.84%

5,574

116,761,036

15,663,486

14,339,326

LAFAYETTE

14,662,061

14,258,736

2.83%

415

8,708,697

1,168,272

1,069,507

LANGLADE

34,577,678

32,229,943

7.28%

970

20,320,291

2,725,966

2,495,518

LINCOLN

45,156,744

43,483,000

3.85%

1,247

26,126,089

3,504,814

3,208,523

MANITOWOC

114,609,305

100,708,186

13.80%

3,187

66,766,670

8,956,745

8,199,559

MARATHON

182,966,715

167,143,617

9.47%

5,081

106,439,619

14,278,869

13,071,762

MARINETTE

69,758,029

65,090,686

7.17%

1,925

40,318,037

5,408,662

4,951,425

MARQUETTE

35,547,384

35,073,960

1.35%

986

20,642,836

2,769,236

2,535,130

MENOMINEE

8,437,794

7,583,786

11.26%

246

5,160,709

692,309

633,782

MILWAUKEE

1,479,177,496

1,260,631,028

17.34%

40,466

851,895,723

163,529,738

89,093,831

MONROE

100,059,852

97,396,633

2.73%

2,787

58,380,519

7,831,744

7,169,663

OCONTO

48,672,093

45,620,727

6.69%

1,355

28,383,899

3,807,699

3,485,804

ONEIDA

164,573,860

164,000,002

0.35%

4,573

95,795,658

12,850,983

11,764,586

OUTAGAMIE

271,700,719

240,805,301

12.83%

7,545

158,046,707

21,201,957

19,409,586

OZAUKEE

79,532,462

74,107,014

7.32%

2,181

45,910,548

8,812,980

4,801,465

PEPIN

8,467,320

8,188,686

3.40%

231

4,838,165

649,040

594,171

PIERCE

29,694,790

26,857,818

10.56%

816

17,094,849

2,293,274

2,099,404

POLK

48,853,306

43,460,847

12.41%

1,355

28,383,898

3,807,698

3,485,803

PORTAGE

135,897,654

124,911,386

8.80%

3,772

79,023,354

10,600,979

9,704,793

PRICE

29,437,545

30,926,399

-4.81%

695

10,744,000

2,817,000

1,534,000

RACINE

202,745,158

184,114,336

10.12%

5,635

118,051,213

15,836,563

14,497,772

RICHLAND

21,928,998

20,928,343

4.78%

616

12,901,772

1,730,772

1,584,456

ROCK

215,723,144

197,350,784

9.31%

5,989

125,469,733

16,831,758

15,408,835

RUSK

30,328,817

28,774,713

5.40%

831

17,417,392

2,336,542

2,139,015

ST.CROIX

86,104,857

78,442,530

9.77%

2,387

49,994,367

6,706,742

6,139,767

SAUK

683,393,970

616,458,592

10.86%

19,060

399,309,833

53,567,383

49,038,916

SAWYER

99,961,768

99,525,210

0.44%

2,771

58,057,974

7,788,474

7,130,052

SHAWANO

62,075,003

58,125,422

6.79%

1,740

36,447,505

4,889,430

4,476,088

SHEBOYGAN

219,683,112

202,111,924

8.69%

6,112

128,050,088

17,177,913

15,725,726

TAYLOR

17,989,010

16,523,531

8.87%

493

10,321,418

1,384,618

1,267,565

TREMPEALEAU

31,412,195

30,379,877

3.40%

863

18,062,481

2,423,081

2,218,239

VERNON

30,234,127

28,674,000

5.44%

832

17,417,392

2,336,542

2,139,016

VILAS

185,720,336

187,280,119

-0.83%

5,158

108,052,341

14,495,216

13,269,819

WALWORTH

296,407,991

264,198,404

12.19%

8,237

172,561,201

23,149,076

21,192,099

WASHBURN

36,821,817

35,871,624

2.65%

1,031

21,610,469

2,899,044

2,653,964

WASHINGTON

113,169,419

98,184,911

15.26%

3,102

65,295,002

12,534,017

6,828,749

WAUKESHA

541,781,927

451,421,849

20.02%

14,830

312,191,727

59,928,265

32,649,955

WAUPACA

69,250,226

67,331,924

2.85%

2,135

28,342,000

6,300,000

3,433,000

WAUSHARA

38,864,172

37,741,696

2.97%

1,078

22,578,102

3,028,852

2,772,798

WINNEBAGO

175,617,133

161,444,525

8.78%

4,881

102,246,543

13,716,368

12,556,813

WOOD

105,803,906

101,712,104

4.02%

2,940

61,605,961

8,264,436

7,565,778

TOTALS

9,971,705,643

9,080,673,633

9.81%

282,960

5,565,720,000

894,986,000

647,979,000

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THE RESEARCH PROCEDURES

Introduction

The basic procedure employed in this project is the T-MAP-I economic impact model. This procedure was first employed by Davidson-Peterson Associates in 1985 for the State of Georgia. Since then, it has been employed on behalf of states and local areas throughout the United States. This Technical Appendix provides a brief outline of the procedure.

A. What is Economic Impact?

Economic impact begins when a visitor to an area spends money in that area -- no matter what the reason. But the benefits to local economy go beyond the basic impact of these dollars spent in the area; these visitor expenditures create a chain effect. The direct effects or impacts of these expenditures are evident as the "direct" recipients of these expenditures in turn pay wages, earn income and pay taxes. Further, these direct recipients spend their income and thereby create indirect impact: more jobs, wages, salaries, proprietary income and tax revenues. These direct and indirect effects together equal the total economic impact of traveler expenditures in the area being visited.

B. What is a Traveler?

For purposes of this study, a traveler is anyone who visits an area traveling outside of their normal routine and spends money. They may be motivated to travel by pleasure, personal, or business reasons or some combination of reasons. If they remain in the area being visited for more than thirty (30) days, they cease being a traveler or if they are staying in accommodations contracted for more than a thirty (30) day period (construction workers or truck drivers, for example), they are also not classified as travelers.

C. What is Being Measured?

It should be underscored that this report and the T-MAP-I procedure are based on the premise that economic impact begins with the expenditures of dollars by travelers (bottom-up measurement) rather than receipts of selected businesses, (top-down measurement).

Because of the problems and errors associated with it, Davidson-Peterson Associates does not use this traditional top-down or industry receipts-based measurement.

  • We do not employ sales tax data or industry receipts
  • We begin with every dollar travelers spend
  • We do not use SIC codes
  • We let the travelers define where they spend money

Let's explain a little further.

  • Top-down or industry receipts-based measures assume that an industry is composed of a set of firms that are clearly designated by a standard code -- SIC. For most industries this works well. However, when employed for tourism, it tends to understate economic impact by a wide margin.
  • Tourism is not a typical industry. Tourism cannot be represented in its entirety by a few SIC-classified businesses. Tourism is the movement of people into an area for a brief period of time and its economic impact begins with the sum of every dollar these visitors spend -- no matter whether they are spent on retail purchases, medical services or any of the other goods or services people buy.
  • When travelers spend dollars, they spend them in "traditional industries" identified by SIC codes as well as in other industries. The top-down, industry receipts-based procedure is based only on the receipts of these traditional industries. The bottom-up procedure employed by Davidson-Peterson Associates is based on all traveler expenditures in all industries.
  • Davidson-Peterson Associates recognizes the value of the industry concept. However, for a true measure of the economic impact of tourism, we believe a bottom-up procedure that begins with what all travelers spend is necessary; thus, the development of the model we utilize.

Our procedure for assessing economic impact allows us to estimate current numbers as well as measure change from year to year accurately. We are constantly reviewing and revising methods and numbers to generate the most accurate measures of change over time.

D. The Basic Research Steps for the 2000 Wisconsin Effort

What follows is a brief description of the procedures for estimating economic impact as they were completed in 2000.

1. Inventory Update

  • At the beginning of 2000, the 1999 inventory was reviewed by comparing it with the latest brochures available from state, county, and regional offices. In addition to this, 38 convention and visitor bureaus throughout the state provided us with updated lodging inventories.
  • With any new information learned from these publications and CVBs, appropriate additions, deletions, and size changes were incorporated into the lodging database.
  • Properties which we learned were open in 1999 but not surveyed were accounted for in 2000.

2. Seasonal Surveys of lodging business activity (HMR)

  • The following seasonal surveys were conducted by phone:
    Season # Called
    December - April 1,370
    May - August 1,330
    September - November 1,301
  • Each property was contacted to complete the questionnaire by phone. Those who did not respond by phone were asked by Davidson-Peterson Associates' field staff to complete the survey by mail or fax.
  • A small sample of very large and/or high priced properties were asked to provide rates and occupancy for all three seasons. This procedure is employed to prevent skewing the data or understating the values for such important properties by imputing averages based on less expensive, smaller properties.

3. Resident (VFR) Survey

  • In order to determine the incidence of visiting friends and relatives in the state, telephone interviews were conducted with a random sample of Wisconsin households. Data from these surveys were projected to the total household population for the state and expenditure ratios were then applied in order to allocate expenditures by visiting friends and relatives to expenditure categories for the economic impact model.
  • The 1,003 surveys completed in 2000 were analyzed together with the previous surveys from 1996 through 1999.

4. Visitor Expenditure Survey/Modeling

  • Using on-site surveys of visitors, a model is created to represent the proportion of traveler expenditures spent for various types of goods and services. The basis for the expenditure data utilized in this study combines data from surveys completed in the last two years.

5. Economic Impact Data Calculations

  • Using room/site rates, occupancy and travel party size, a figure is calculated for expenditures at accommodations facilities to which the visitor expenditure ratios are applied in order to derive the total traveler expenditures.

6. Input/Output (I/O) Modeling

  • A special inter-industry model is constructed for Wisconsin by Dr. William Schaffer of the Georgia Institute of Technology. The model utilizes the total tourism expenditures to determine employment, income, and government revenue impacts of those expenditures. This information is used to compile The Economic Impact of Expenditures by Travelers on Wisconsin.

Definition of Economic Impact Terminology

First, the dollars spent by travelers.

Total Estimated Traveler Expenditures

These figures represent the total estimated expenditures made by all travelers to the State, as calculated by the Davidson-Peterson Associates, Inc. proprietary economic impact model, based on survey data.

Next, the two degrees of economic impact

Economic impact begins when a visitor spends money in the state -- no matter what the reason. But the benefits to local economy go beyond the basic impact of these dollars spent in the state; these visitor expenditures create a chain effect.

Direct Impacts

The direct effects or impacts of these expenditures are evident as the "direct" recipients of these expenditures in turn pay wages, earn income and pay taxes. These figures represent the economic impacts that are created by the initial circulation of the total estimated traveler expenditures. For example, a server at a resort frequented by travelers is directly supported by the expenditures made by those travelers.

Indirect Impacts

Further, these direct recipients spend their income and thereby create indirect impact: more jobs, wages, salaries, proprietary income and tax revenues. These figures represent the economic impacts that are created as the total estimated traveler expenditures are re-circulated throughout the economy. For example, the above server's landlord is indirectly supported by the traveler expenditures that paid the waitress's salary.

These direct and indirect effects together equal the total economic impact of traveler expenditures in the area being visited.

Finally, the four categories of economic impact.

Full-time Equivalent Jobs

These figures represent the estimated number of full-time job equivalents that are supported by the total estimated traveler expenditures. A full-time job equivalent could be one full-time employment position, such as a hotel manager.

However, the Davidson-Peterson Associates, Inc. input/output model created specifically for each area by Dr. William Schaffer of the Georgia Institute of Technology also account for part-time employment. Therefore, the input/output model combines all part-time jobs supported by the area's tourism and calculates its estimated equivalent full-time employment. For instance, three part-time waitress positions may be the equivalent of one full-time position.

Resident Wages & Proprietary Income

These figures represent the estimated dollar amount of resident income which is generated by these full-time equivalent jobs that are supported by total estimated traveler expenditures. These income figures include resident wages, resident salaries and resident proprietary income.

State Government Revenues

These figures represent the estimated dollar amount of state government revenues that are collected as a result of the total estimated traveler expenditures. State government revenues collected include lodging, sales and meals taxes as well as any other sources of government income collected as a result of the total estimated traveler expenditures throughout the state.

Local Government Revenues

These figures represent the estimated dollar amount of local government revenues which are collected as a result of the total estimated traveler expenditures. Local government revenues collected include property taxes as well as any additional sources of county or city government income (additional regional sales taxes, lodging taxes, etc. that are collected at or returned to the local level).

 

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