1965 EDITION 
 
 ivicirjiCL 
 
 m 
 
 Northeast 
 
 North 
 
 America 
 
 MM 
 
 U.S. DEPARTMENT OF COMMERGE/Area Redevelopment Administration 
 

 A Continued Study of 
 
 THE SKIER MARKET IN NORTHEAST NORTH AMERICA 
 a report prepared by 
 Sno-Engineering, Inc., Franconia, N. H. 
 
 for 
 State of New Hampshire 
 State Planning Project 
 November 1964 
 
 and 
 
 THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 
 A Market Research 
 
 A Technical Assistance Project 
 Prepared under ARA Contract Cc 5988 by 
 Sno-Engineering, Inc., Franconia, N. H. 
 March 1964 
 
 U.S. DEPARTMENT OF COMMERCE 
 Area Redevelopment Administration 
 
 February 1965 
 
 For sale by the Superintendent of Documents, U.S. Government 
 Printing Office, Washington, D. C. 20402 
 
 Price $1.00 
 
FOREWORD 
 
 This skier market research is designed to aid in making 
 decisions concerning the economic feasibility of proposed ski 
 developments in the Northeastern United States. The original 
 study was published in March 1964. 
 
 This edition contains a continued study which answers many of 
 the questions that were beyond the scope of the original research, 
 "The Skier Market in Northeast North America." For purposes of 
 comparison, and to maintain the study in complete form, both the 
 new and the old studies are presented in two sections, beginning 
 with the latest information. 
 
 The original study was accomplished by professional consultants 
 under contract to the Area Redevelopment Administration. While 
 ARA can assume no responsibility for the statements and conclusions 
 made in either study, it is believed that the information contained 
 may be useful to ski-oriented communities engaged in economic 
 development and redevelopment, as well as other sectors of the 
 economy engaged directly or indirectly in winter sports. 
 
 The Continued Study was accomplished by professional con- 
 sultants under contract to the State Planning Project, State of 
 New Hampshire. Permission to publish the Continued Study was 
 granted by Mary Louise Hancock, Project Director. 
 
 William L. Batt, Jr., Administrator 
 Area Redevelopment Administration 
 
Digitized by the Internet Archive 
 
 in 2012 with funding from 
 
 LYRASIS Members and Sloan Foundation 
 
 http://archive.org/details/continuedstudyofOOsnoe 
 
A Continued Study of 
 
 THE SKIER MARKET in NORTHEAST NORTH AMERICA 
 
 STATE OF NEW HAMPSHIRE 
 STATE PLANNING PROJECT 
 
 JOHN W. KING 
 
 Governor 
 
 MARY LOUISE HANCOCK 
 
 Project Director 
 
 Report prepared by 
 SNO-ENGINEERING, INC 
 
 Concord, New Hampshire — November, 1 964 
 
SYNOPSIS 
 
 THE SKIER MARKET- -NORTHEAST NORTH AMERICA 
 
 Continued Study 
 
 The objectives of this continued study were: 
 
 l) To obtain a measure of the market who failed to 
 participate during 1963-1964. 
 
 2) v To obtain a measure of change in skiing habits. 
 
 3) To obtain additional and more detailed information, 
 
 A summary of the findings of this continued study are: 
 
 1) 13.2$ of the 1962-63 skier market, or some 59,000 
 skiers failed to participate during 1963-64. 
 
 90.2$ of these skiers are only temporarily "dropouts." 
 
 The major reasons given for non-participation were: 
 a.- New family responsibilities 
 b.- Employment demands 
 C- Sickness &/or injury 
 d.- Military obligation 
 
 2) Growth in the numbers of active skiers in Northeast 
 North America over the past 11 years is estimated 
 at 15.4$ annually. 
 
 This estimate of net growth is based upon the find- 
 ing that a large majority (90.2$) of the 1962-63 
 skier market "dropouts" are only of a temporary nature,, 
 and that this finding can be applied, to prior years' 
 markets . 
 
 3) The 1962-63 skier market skied an average of 15.5 days 
 during 1963-64, a drop of 2.2 days from reported mean 
 participation of 17-7 days in 1962-63. 
 
 4) Skiers reported average expenditures per day as follows: 
 
 for at 
 
 transportation destination Total 
 
 A) During a typical day or.. $ 3.85 $ 12.03 $ 15.88 
 weekend ski trip 
 
 1) Overnighter 4.14 16.26 20.40 
 
 2) Day Tripper 3. 51 7.44 10.95 
 
 B) During a vacation ski trip 5.51 18.93 24.44 
 
 5) The average skier on the slope reported participation 
 at 4.3 ski areas during the 1963-64 season. 
 
 6) The average skier on the slope reported 3.7 persons 
 usually traveled in his/her skiing party. 
 
7) While skiers accounting for 89.3$ of the skiing ac- 
 complished reported that the snow reports are useful 
 and helpful to them, most (79.7$) felt they could be 
 improved. 
 
 8) a. 38.3^ of the '62- '63 skier market took a ski vaca- 
 tion (4 or more days) during 1963-64, down slightly 
 from 39.2% as reported a year earlier. 
 
 b. Skiers reported receiving an average of 8.4 days 
 of skiing during vacation ski trips in 1963-64, ud 
 
 significantly from the 6.2 days average in 1962-63. 
 
 c_. Vermont received vacation skier visits from 57.5$ 
 of vacationing skiers, while other states, as vaca- 
 tion destinations, were far less popular. 
 
 9) Purchasers of season tickets represented 14.6$ of 
 the '62-'63 skier market, but accounted for 25.0$ 
 of the skiing done. Season ticket holders partici- 
 pated an average of 29.1 days during 1 963-64, and 
 23.O were at the area where they purchased their 
 season's ticket. 
 
 10") 30.7$ of the »62-'63 skier market reported that they 
 owned, rented or have the use of a winter home in 
 the ski country during 1963-64. 
 
CONTENTS 
 
 Page 
 
 Introduction la 
 
 Obj ectives 2a 
 
 Approach 3 a 
 
 Findings 4a 
 
 Market Description 4a 
 
 Dropouts 8a 
 
 Dropouts and Growth 12a 
 
 1) Number of Skiers 12a 
 
 2) Annual Rate of Participation 14a 
 
 Skier ' s Expenditures 19a 
 
 1) During a Typical Day Trip.. 19a 
 
 2) During a Vacation Ski Trip 19a 
 
 Typical Day or Weekend Ski Trip 24a 
 
 Skiers who took a Ski Vacation in 
 
 1963-64 28a 
 
 Special Sub-Markets 33a 
 
 Season Ticket Holders 33a 
 
 Skiers with the use of a 
 
 Winter Home in Ski Country 34a 
 
 Limitations 36a 
 
 Appendix 37a 
 
INTRODUCTION 
 
 The Skier Market in Northeast North America , a market 
 research study of skiers conducted during the winter of 
 1962-63* stimulated and pointed out the need for continued 
 market data and additional basic information. 
 
 This second look at the skier market was undertaken as 
 part of the studies of New Hampshire skiing potential of the 
 New Hampshire State Planning Project. The express purpose 
 is to provide additional economic and market data to guide 
 in the planning for new and expanded facilities catering to 
 skiers, an important winter tourist trade in New Hampshire. 
 
 Data contained in this report are an extension of the 
 basic study. Some data from the parent study are included to 
 facilitate interpretation. 
 
 It is recommended that for a comprehensive picture of 
 the market, the reader refer to the parent study The Skier 
 Market in Northeast North America , Superintendent of Docu- 
 ments, U.S. Government Printing Office, Washington, D.C. 
 
 la 
 
OBJECTIVES 
 
 It is the objective of this study to gather additional 
 market data concerning the habits of skiers in Northeast 
 North America to aid in determining the extent, nature and 
 potential of this skier market. 
 
 The specific objectives are: 
 
 1 ) To obtain a measure of the 1962-63 skier market 
 who failed to participate during 1963-64, in- 
 cluding their reasons for stopping and plans 
 for the future. 
 
 2) To obtain a measure of change in the skiing habits 
 of the 1962-63 skier market. 
 
 3) To obtain additional and more detailed informa- 
 tion about the 1962-63 skier market. 
 
 2a 
 
APPROACH 
 
 This study, because it was a continuation of the parent 
 study, was conducted exactly the same as the second stage of 
 the basic study. The mailing list used had been obtained by 
 sampling, using essentially random techniques. 
 
 A mail questionnaire was sent to 1710 skiers. Returns 
 were summarized and results are shown on the following pages. 
 A copy of the questionnaire is included in the Appendix. 
 
 Statistical confidence limits are shown in the Appendix, 
 B (Calculations). 
 
 Findings are presented in terms of both skiers and skier- 
 days . The data as collected are weighted by skiers according to 
 their frequency of participation, as the more often persons 
 skied the greater their chances of selection. These unadjusted 
 data describe the market in terms of skier-days . An adjust- 
 ment is necessary to measure and describe skiers . 
 
 Adjustment is accomplished by unweighting the data accord- 
 ing to each skier's reported frequency of participation. Skiers 
 were asked " Approximately how many days do you usually ski 
 each season? " Answers were recorded in seven categories and 
 adjustment made by multiplying each answer by the reciprocal 
 of the class midpoint as shown in the Appendix, B (Calculations), 
 
 3a 
 
FINDINGS 
 Market Description 
 
 (Sample size - 695., unless indicated otherwise) 
 Data presented here are from a different response sample 
 than that shown in the first report, The Skier Market - 
 Northeast North America . Figures are slightly different. 
 Answers to questions on age and education can be expected to 
 shift over a one year period, as they did. However, no ser- 
 ious differences occur in other categories except one. A sig- 
 nificantly higher percent of the 1963-64 response sample re- 
 ported incomes over $15,000 and conversely a lower percent 
 reported under $6,000. This may be due in part to the reword- 
 ing of the income question in order to obtain a measure of 
 buying power. 
 
 Data are presented both in terms of "skiers" and "skier- 
 days." The difference is due to reported varying rates of par- 
 ticipation. The reader can utilize the figures best suited to 
 his analysis. 
 
 For example, we show that 64.5$ of the skiers in the 
 market area are male and that they account for 68.2$ of the 
 skiing accomplished or "skier-days." 
 
 4- a 
 
% Skiers 
 
 1) Vital Statistics 
 
 (Skiers over 12 years old) 
 
 a. Skiers by sex 
 
 Male Skiers 
 Female Skiers 
 No answer 
 
 b. Skiers by marital status 
 
 Single skiers 
 Married skiers 
 No answer 
 
 c. Skiers by education 
 
 (23 years old and older) 
 (Subsample size - 440 ) 
 
 Grade school 
 Some High school 
 Graduated High school 
 Some College 
 Graduated College 
 Post Graduate work 
 No answer 
 
 64.5$ 
 34.7 
 
 56.7$ 
 42.9$ 
 .5 
 
 $ at each 
 
 Cumu- 
 
 $ at each" 
 
 Cumu- 
 
 level 
 
 lative 
 
 level 
 
 lative 
 
 .1$ 
 
 
 .2$ 
 
 
 2.0 
 
 98.1 
 
 1.6 
 
 97.5 
 
 11.7 
 
 96.1 
 
 13-0 
 
 95.9 
 
 15.8 
 
 84.4 
 
 17.5 
 
 82.9 
 
 36.2 
 
 68.6 
 
 33-6 
 
 65.4 
 
 32.4 
 
 32.4 
 
 31.8 
 
 31.8 
 
 1.8 
 
 
 2.3 
 
 
 $ Skier-days 
 accounted for 
 
 68.2$ 
 30.5 
 1.3 
 
 59.4$ 
 39.6 
 1.0 
 
 5a 
 
% Skiers 
 
 Skiers by Occupation groups 
 
 Students 
 
 Professional, Technical & 
 kindred workers. (Drs., Lawyers 
 Teachers, Engineers, etc.) 
 
 Clerical & kindred workers 
 
 Managers, Officials, Proprietors 
 
 Craftsmen, Foremen & kindred 
 workers. (Ski instructors) 
 
 Housewives 
 
 Sales workers 
 
 Laborers, Service Workers, 
 Operators, etc. 
 
 Military Service Personnel 
 
 No answer 
 
 Skiers by age groups 
 
 Age 12 - 18 
 
 Age 19 - 22 
 
 Age 23 - 30 
 
 Age 31 - 40 
 
 Age 41 - 50 
 
 Over 50 
 
 No answer 
 
 30 . 8fo 
 
 io Skier-days 
 accounted for 
 
 31.: 
 
 23.4 
 
 23.9 
 
 10.5 
 
 9.1 
 
 10.0 
 
 9.9 
 
 8.0 
 
 9.3 
 
 8.6 
 
 6.5 
 
 3-7 
 
 4.6 
 
 2.2 
 
 2.4 
 
 • 3 
 
 .7 
 
 2.5 
 
 2.4 
 
 20.5 
 
 21.9 
 
 16.8 
 
 14.8 
 
 23.4 
 
 22.0 
 
 20.8 
 
 21.6 
 
 13.2 
 
 14.1 
 
 4.6 
 
 4.7 
 
 .1 
 
 .2 
 
 Median age 26.2 years 
 
 b a 
 
% Skiers 
 
 No, 
 
 1 
 2 
 
 3 
 
 4 
 
 5 
 6 
 
 7 
 8 
 
 9 
 10 
 
 11 
 12 
 
 13 
 
 14 
 
 15 
 
 Skiers by income groups (Except 
 students) (Sub -sample size 479) 
 
 " What is your approximate annual 
 income before taxes and payroll 
 deductions? (Heads of households 
 housewives & students who are 
 supported by p arents p lease in- 
 dicate family income level ) 
 
 Under $6,000 annually 
 
 $6,000 to $9*999 annually 
 
 $10,000 to $14,999 
 
 Over $15,000 annually 
 
 No answer 
 
 Median income $11,115 
 
 Geographic Distribution 
 
 Skier residence 
 
 Maine 2 . 84$ 
 
 New Hampshire 4.43 
 
 Vermont 2 . 99 
 
 Eastern Mass. & Rhode Island 17.38 
 
 Western Massachusetts 3 . 58 
 
 Connecticut 11 .64 
 
 N.Y. - Adirondack District 2.18 
 
 N.Y. - Capitol District...- 3.82 
 
 N.Y. - S.E., NYC & Long Island.. 17.67 
 
 N.Y. - Western District 6.33 
 
 Totdl New York 30.00 
 
 New Jersey & East. Perm 7.42 
 
 Western Pennsylvania 3.05 
 
 Quebec, CANADA 11.14 
 
 Outside NENA - West 3.33 
 
 Outside NENA - South 2.19 
 
 18.0$ 
 
 18.4$ 
 
 29.0 
 
 30.7 
 
 21.5 
 
 21.5 
 
 27.9 
 
 25.7 
 
 3.6 
 
 3.7 
 
 % Skier-days 
 accounted for 
 
 4.0$ 
 
 6.0 
 
 5.4 
 
 15.5 
 4.5 
 9.6 
 2.7 
 3-8 
 
 13.2 
 7.9 
 
 27.6 
 
 5.7 
 2.7 
 14.7 
 3.0 
 1.3 
 
 7 a 
 
Dropouts 
 
 There are approximately 59*000 skiers who participated 
 at ski areas in Northeast North America during the 1962-63 
 ski season, who did not ski at all during the ensuing, 1963- 
 64, ski season. 
 
 1 ) Method 
 
 These figures are based upon returns of a follow-up 
 
 mail questionnaire to the same mailing list as participated 
 
 in the original market study, The Skier Market - Northeast 
 
 North America , 1962-63. 
 
 % of skiers % skier-days 
 
 (1962-63 accounted for 
 
 " Did you g o skiin g this past w inter? " market) (reported - 
 
 (sample size - 757) 1962-63) 
 
 YES 86.8$ 91.8$ 
 
 NO 13.2 8.2 
 
 This answer was double checked with a sub-sample of 59 
 non-respondents . 
 
 % of skiers $ skier-days 
 " Did you go skiin g this past winter?" accounted for 
 
 (sample size - 59) 
 
 YES 82.9$ 93-2$ 
 
 NO 17.1 6.8 
 
 2) Limitations 
 
 8.8$ (151) of the questionnaires sent were returned un- 
 delivered, (see Methodology for breakdown). The above findings 
 
 8a 
 
assume that the 91.2$ (1559) are representative of the sample. 
 There is reason to suspect that a larger percent of the unde- 
 liverable group were "dropouts" due to the questionable nature 
 of their whereabouts. 
 
 3) Analysis of "Dropouts" (sample size - 62) 
 
 "Dropouts" were queried further concerning their reasons. 
 "If you did not ski p lease tell us why? % of skiers* 
 
 "We had a child . " 22.6$ 
 
 "My job leaves me no time." 19.2 
 
 "I have moved. " 12.6 
 
 "I found skiing too expensive." 11.5 
 
 "I married." 5-7 
 
 "I have taken up another winter activity." ... 2.9 
 
 "I do not enjoy skiing. " 
 
 "Other" (reasons given) Sickness or injury; . . 44.7 
 Military service; Bought a house 
 
 No answer . 1.5 
 
 *Will add to over 100$ as multiple answers were recorded. 
 
 " Do you intend to return to the sport of skiing 
 
 $ of skiers 
 
 at some future date? " 
 
 YES 90.2$ 
 
 NO 2.8 
 
 No answer 7.0 
 
 "What year did you first take up skiing ?" This question was 
 asked in the field during the 1962-63 ski season. 
 
 The analysis of "dropouts" is included here to determine 
 
 the influence of time. 
 
 9a 
 
Percent who began skiing in 1963 
 
 Percent who have skied for more than 
 1 but less than 5 seasons 
 
 Percent who have skied for more than 
 5 seasons 
 
 % of 
 
 skiers 
 
 "Dropouts" 
 1963-64 
 
 skier mkt 
 1962-63 
 
 27.50 
 
 19-50 
 
 33.8 
 
 40.1 
 
 38.7 
 
 40.4 
 
 Vital Statistics (skiers over 12) 
 
 The following is a comparison of the socio-economic 
 characteristics of "Dropouts" with the characteristics of 
 the entire market as found in the parent study. 
 
 (Sub-sample size) 
 a) Skiers by sex 
 
 Male skiers . 
 Female skiers 
 
 b) Skiers by marital status 
 
 Single skiers 
 Married skiers 
 No answer .... 
 
 % of skiers 
 
 "Dropouts" 
 1963-64 
 
 (62) 
 
 58.2$ 
 41.8 
 
 61.6 
 38.4 
 
 c) Skiers by education (23 yrs& over) 
 
 (Sub-sample size) 
 
 (28) 
 
 Grade school 
 
 Some High School .... 
 Graduated High School 
 
 Some College 
 
 Graduated College . . . 
 Post Graduate work . . 
 
 - 
 
 • 5 
 
 1.4 
 
 4.0 
 
 33.2 
 
 11.7 
 
 25.2 
 
 21.2 
 
 19.2 
 
 31.5 
 
 21.0 
 
 31.1 
 
 skier mkt 
 1962-63 
 
 (951) 
 
 61.90 
 38.1 
 
 59.6 
 
 40.3 
 .1 
 
 (574) 
 
 10 a 
 
of skiers 
 
 
 "Dropouts" 
 1963-64 
 
 d ) Skiers by occupation groups 
 
 Students 
 
 Professional j Tech. & kindred wkers 
 
 Clerical & kindred workers 
 
 Managers , Officials, Proprietors... 
 Craftsmen, Foremen, & Kindred Workers 
 
 Housewives 
 
 Sales workers 
 
 Laborers, Service workers, Oper.,etc 
 
 Military Service Personnel 
 
 No answer 
 
 e) Skiers by age groups 
 
 Age 
 
 12 - 
 
 18 
 
 Age 
 
 19 - 
 
 22 
 
 Age 
 
 23 - 
 
 30 
 
 Age 
 
 31 - 
 
 40 
 
 Age 
 
 41 - 
 
 50 
 
 Over 50 
 
 
 f) Skiers by income groups (except 
 students) (Sub-sample size).... 
 
 Under $6,000 annually 
 
 $6,000 to $9,999 
 
 5510,000 to $14,999 • • 
 
 $15,000 and over 
 
 No answer , 
 
 19. 3# 
 
 13.4 
 
 28.0 
 
 3.8 
 
 4.5 
 
 16.4 
 
 2.3 
 4.5 
 
 7~8 
 
 16.7 
 20.3 
 
 40.2 
 
 17.2 
 
 5.6 
 
 (33) 
 
 32.5 
 23.7 
 17.6 
 
 12.2 
 14.1 
 
 g) Skiers by geographic source 
 (where residing 1962-63) 
 
 Maine .9 
 
 New Hampshire 6.2 
 
 Vermont 1 . 5 
 
 East Mass. & Rhode Island 16.8 
 
 Western Mass 8.4 
 
 Connecticut 9.3 
 
 N.Y. - Adirondack District 5.1 
 
 N.Y. - Capitol District 3.7 
 
 N.Y. - SE, NYC & Long Island 15.8 
 
 N.Y. - Western District 4.7 
 
 TOTAL NEW YORK 29 . 3 
 
 New Jersey & Eastern Perm 8.9 
 
 Western Perm ' 
 
 Quebec, CANADA 9.3 
 
 Outside NENA - west 6.5 
 
 Outside NENA - south 2.8 
 
 Skier Mkt 
 1962-63 
 
 28.8^ 
 28.7 
 11.6 
 6.6 
 
 7.1 
 7.4 
 
 4.3 
 
 2.5 
 
 .8 
 
 2.1 
 
 19.6 
 19.9 
 22.7 
 22.6 
 13.2 
 2.0 
 
 (658) 
 
 33-5 
 23.5 
 21.8 
 
 18.3 
 3.1 
 
 2.8 
 4.4 
 3-0 
 
 17-4 
 3.6 
 
 11.6 
 2.2 
 3.8 
 
 17.7 
 6.3 
 
 30.0 
 7.4 
 
 3-1 
 11.1 
 
 3-3 
 2.2 
 
 11 a 
 
Dropouts and Growth 
 
 1 ) Numbers of Skiers 
 
 This follow-up survey of the 1962-63 skier market in 
 the Northeast provides a measure of the annual dropouts. By 
 making certain logical assumptions and applying these to the 
 ceiling growth rate as computed in the parent study, a more 
 concrete measure of growth in numbers of skiers can be made. 
 
 The growth trend as determined in the parent study is 
 reproduced below. The method employed consisted of recording 
 the year each interviewed skier first began to ski. 
 
 -1-75% 
 
 100% 
 
 50% 
 
 -H-25% 
 
 before 
 1941 
 
 1946 
 
 1958 
 
 12 a 
 
Our present measure of "Dropouts" finds 13.2$ not par- 
 ticipating during the 1963-64 season. Analysis shows that 
 most of these (90.2$) intend to ski again in the future. A 
 check of the reasons for noc skiing during 63-64 supports 
 these inten ons . The large majority of reasons given show 
 that the respondents lacked either time., economic means or 
 proximity to ski areas but not desire. 
 
 The findings support observations made over the years 
 by those in the ski business. Students, who are a large seg- 
 ment of the skier market, are forced to drop or severely 
 curtail skiing during the period immediately after graduation 
 due to one or more of the recorded reasons - marriage, birth 
 of a child, new job, new economic responsibilities, Military 
 Service, etc.. As the years pass and circumstances permit, 
 they return to the slopes. 
 
 Thus, it is logical to assume that 11.9$ (90.2$ of 13.2$) 
 will return and are not dropouts. Conversely then the perma- 
 nent dropout rate among the 1962-63 skier market is 1.3$' 
 Now, assuming this rate has remained constant over the past 
 12 years (and here we have no way of testing or measuring this) 
 the net growth rate can be estimated by subtracting from the 
 ceiling rate of 16.7$ as determined in the parent study. 
 
 GROWTH IN NUMBERS OF ACTIVE SKIERS IN NORTHEAST NORTH 
 AMERICA, OVER THE PAST 11 YEARS, IS ESTIMATED AT 15.4$ 
 ANNUALLY. 
 
 13 a 
 
It can be seen from this analysis that the assumption 
 is made that some 53*000 persons (11.9$), who had skied prior 
 to the 1962-63 season but did not ski during 1962-63, re- 
 turned to the slopes during 1963-64. Thus each season sees 
 11.9$ of the past season's market not returning to the slopes, 
 but being replaced by a like number who had temporarily 
 dropped the sport previously. This assumption is the key to 
 the net growth rate figure of 15.4$. The assumption appears 
 logical from the analysis of data available. 
 
 2) Annual Rate of Participation 
 
 The skiers ' rate of participation is the second element 
 in measuring "growth" or change in total demand for ski facil- 
 ities. A measure of the 1963-64 rate among the 1962-63 market, 
 who also participated during 1963-64, is shown below. Readers 
 are reminded that new skiers during 1963-64 are not included, 
 nor are skiers returning to the active market who did not ski 
 in 1962-63. (These, combined could be as high as 25$ of the 
 1963-64 active skier market). We would expect that this un- 
 measured segment of the 1963-64 market would participate less 
 frequently than shown below which would have the effect of 
 lowering the average shown of 15.5 days. 
 
 Skiers reported average (mean) participation as follows: 
 
 1962-63 1963-64 
 (Sample size) (951) (695) 
 
 Days of vacation skiing 2.4 ( )* 
 
 Days of Midweek skiing 4.2 4.5 
 
 Days of Weekend & Holiday skiing 11.1 11.0 
 
 Mean days of participation 17-7 15.5 
 
 *Methods of collection included this average in midweek and 
 weekend averages. 
 
 Ua 
 
Skiers reported frequency of participation during week- 
 end and Holiday days as follows: (see Chart I for graphic 
 comparisons ) 
 
 No. of wkend & , -, 
 
 Holiday days skied 196I-62 1 1962-63 1963-64 
 
 (Sample size) (951) (951) (695) 
 
 Under 5 43.0$ 30.1$ 23.8$ 
 
 6-10 21.9 26.6 23.2 
 
 11 - 15 10.6 17.0 12.1 
 
 16 - 20 7.8 11.1 11.7 
 
 21-25 3-8 5-5 4.5 
 
 26-30 2.1 3-5 3-5 
 
 Over 30 3-9 4.5 3-0 
 
 No answer 6.9 1.7 18. 1 
 
 Mean 8,7 days ... 11.1 days ... 11 .0 days 
 
 The Skier Market - Northeast North America, U.S. Government 
 Printing Office, Washington, D.C.. Pages 48 & 52 
 
 Obviously the frequency of participation is related to 
 the availability of skiing. Since the 1963-64 season was not 
 as good a season weatherwise as the preceding 1962-63 season, 
 much of the decrease can be laid to this factor of availabil- 
 ity. 
 
 Chart II and Table 1 show the annual rate of participa- 
 tion for the 1962-63 skier market as reported over different 
 time periods and by various selected sub-markets. 
 
 15a 
 
Chart I 
 
 FREQUENCY of PARTICIPATION 
 
 Weekend and Holiday Days 
 
 % of 1962-1963 
 Skier Market 
 
 50% 
 
 40*54 
 
 30% 
 
 20% — 
 
 10% 
 
 1— I 
 
 No. of Under 
 WE8H 5 
 Days 
 Skied 
 
 6-10 
 
 11-15 
 
 16-20 21-25 
 
 26-30 
 
 Over 
 30 
 
 No 
 Answer 
 
 1961- 1962 Ski Season 
 1962-1963 Ski Season 
 1963-1964 Ski Season 
 
 Mtjn Participation 
 8.7 days 
 
 III days 
 1 1.0 doys 
 
 16 a 
 
Table 1 
 
 A] 
 
 mual rate o 
 
 f participat. 
 
 Lon - 1962-63 skier market 
 
 Number of 
 Days skied 
 
 All skiers 
 1962-63 market 
 
 Selected sub-markets 
 (1962-63 market) 1963-64 measure 
 
 
 Reported 
 "usual" 
 Participa. 
 1962-63 
 
 Reported 
 
 actual 
 Participa. 
 1963-64 
 
 Season tkt 
 holders 
 1963-64 
 
 Day 
 
 Trippers 
 
 1963-64 
 
 Skiers having 
 use of home 
 in ski country 
 1963-64 
 
 Sample size 
 
 ) (19,903) 
 
 (695) 
 
 (174) 
 
 (294) 
 
 (229) 
 
 nder 10 
 
 60.7$ 
 
 37-7^ 
 
 8.1$ 
 
 45.1^ 
 
 22.7$ 
 
 1-20 
 
 20.3 
 
 28.7 
 
 19.4 
 
 25.7 
 
 31.6 
 
 1-30 
 
 9-5 
 
 17.4 
 
 34.2 
 
 15.2 
 
 23.6 
 
 1-40 
 
 6.3 
 
 5.0 
 
 14.3 
 
 3.2 
 
 6.8 
 
 1-60 
 
 2.2 
 
 3.2 
 
 15.2 
 
 3.0 
 
 5.5 
 
 1-80 
 
 • 5 
 
 .3 
 
 .9 
 
 • 3 
 
 .4 
 
 ver 80 
 
 .5 
 
 .6 
 
 2.5 
 
 .4 
 
 1.0 
 
 o answer 
 
 - 
 
 7.1 
 
 5.4 
 
 7.3 
 
 8.5 
 
 ean 
 
 12.7 days 
 
 15.5 days 
 
 29.1 da 
 
 ys 14.6 da 
 
 ys 20.1 days 
 
 17 a 
 
Chart II 
 ANNUAL RATE OF PARTICIPATION 
 
 1963-64 Skier Market 
 1963-64 Skier Season 
 
 No. of under 
 
 1 1 
 
 21 
 
 31 
 
 41 
 
 61 
 
 over 
 
 no 
 
 Ooys skied 10 
 
 20 
 
 30 
 
 40 
 
 60 
 
 80 
 
 80 
 
 answer 
 
 NUMBER OF DAYS SKIED 
 
 All Skiers 
 
 Day Trippers 
 
 Skiers with use of home in ski country 
 
 Season ticket holders 
 
 18 a 
 
 Mean 
 
 15.5 days 
 
 14.6 days 
 20.1 days 
 29.1 days 
 
Skier's Expenditures 
 
 (in terms of Skier-days accounted for) 
 
 Skiers were asked to report their expenditures both on 
 
 a typical day or weekend ski trip and during a vacation trip. 
 
 Their answers are recorded here in tabular and graphic form. 
 
 l) Skier's reported expenditures during a typical day or 
 weekend ski trip. 
 
 "Please estimate the cost of transportation for a typical trip 
 
 Sample 
 Size 
 
 Average (mean) 
 Cost/ skier/ trip 
 
 ^695 ) All skiers 
 
 479) All skiers, except students 
 
 331) Skiers who remain overnight away from home .. 
 
 294) Skiers who commute for the day (Cay Trippers) 
 
 229) Skiers who have the use of a winter home in 
 
 ski country ■ 
 
 17^-) Skiers with a season's ticket at area-1903-64 
 
 $6.03 
 i>6.78 
 ;>8.29 
 $3.51 
 
 $6.99 
 
 $4.77 
 
 ALL SKIERS 
 
 Transportation Cost 
 Under $1.00 
 $1.01 - 3.00 
 3.01 - 5.00 
 5.01 - 7.00 
 7.01 - 9-00 
 9.01 -11.00 
 Over 11.00 
 No answer 
 
 Percent 
 Q.6fo 
 
 19.3 
 22.1 
 10.4 
 
 4.2 
 
 9.6 
 12.5 
 13.2 
 
 19a 
 
" How much do you spend on a typical ski trip once you 
 have reached your ski destination? 
 
 Sample 
 Size 
 
 Average (mean) 
 Cost/ skier/trip 
 
 |695) All skiers 
 
 '479) All skiers, except students 
 
 331) Skiers who remain overnight away from home.. 
 '294) Skiers who commute for the day (Day Trippers) 
 229) Skiers who have the use of a winter home in 
 ski country 
 
 Expense/skier /day 
 Under $5.00 
 $5.00 - 9.99 
 10.00 -14.99 
 15.00 -19.99 
 20.00 -24.99 
 25.00 -29.99 
 30.00 and over 
 No answer 
 
 ALL SKIERS 
 
 J512.03 
 S13.65 
 H16.26 
 
 $7.44 
 
 $12.31 
 
 Percent 
 12.9$ 
 
 30.9 
 19.8 
 13.4 
 8.4 
 3-2 
 1.6 
 9.8 
 
 Skier's expenditures at their ski destination are 
 divided as follows 
 
 Ski Equipment 
 
 Rental 
 
 90 
 
 ALL SKIERS 
 
 20 a 
 
EXPENDITURES AT DESTINATION 
 
 Ski Equipment 
 
 Renta 
 
 .9* 
 
 ALL SKIERS - 
 
 ( Except Students ) 
 
 Ski School 
 1.9* 
 
 Ski Equipment 
 Rental .70 
 
 SKIERS WHO REMAIN 
 
 OVERNIGHT AWAY FROM HOME 
 
 21 a 
 
Chart III compares the expenditures of two different 
 markets, the Day Tripper and the skier who stays overnight 
 away from home . 
 
 Chart III 
 
 % skier- under $5 $10 $15 $20 $25 over no 
 
 days $5 $9.99 314.99 319.99 $24.99 $29.99 330 answer 
 
 EXPENDITURES AT DESTINATION 
 
 Ski Equipment 
 
 Renta 
 
 1.2* 
 
 DAY TRIPPERS 
 
 22 a 
 
2) Skier's reported expenditures while on a vacation ski trip 
 (Sample size - 230 unless stated otherwise) 
 
 Average (mean) expenditure per skier 
 
 For transportation $ 43.25 
 
 At Ski destination 147.46 
 
 Total 190.71 
 
 Average (mean) expenditure per skier-day 
 
 For transportation $ 5.51 
 
 At Ski destination 18.93 
 
 Total 24.44 
 
 Average (mean) expenditure per skier-day 
 (Students excepted) Sample size - 153 
 
 For transportation $ 6.29 
 
 At Ski destination 21.26 
 
 'Total 27.55 
 
 
 Ski Eqi 
 
 
 Rental 
 
 After Ski 
 
 Ac 
 
 tivities 
 
 
 10.2 t 
 
 Sk 
 
 i Schoo 
 
 
 1.8 t 
 
 ases of Ski 
 
 ipment and 
 
 Apparel 4.90 
 
 Other, not 
 
 Classified 
 
 2.0 
 
 DIVISION OF THE VACATION SKIER'S DOLLAR 
 
 23 a 
 
Typical Day or Weekend Trip 
 
 (Sample size - 695 unless indicated otherwise) 
 
 This entire section is summarized in terms of skier-days 
 accounted for. It describes the habits of the 1962-63 skier 
 market on the slopes during 1963-64. (i.e. data are weighted 
 by the skier who participates more often) 
 
 1 ) " How many different ski areas did you ski during this past 
 winter? " 
 
 Average (mean) number - 4.3 ski areas 
 
 No. of different 
 areas skied 
 
 1-2 
 
 3 - 4 
 
 5 - 6 
 
 7 - 8 
 
 9-10 
 
 Over 10 
 
 No answer 
 
 Percent 
 
 25.3^ 
 34.8 
 22.4 
 10.2 
 
 3-5 
 2.8 
 1.0 
 
 2 ) " What was the farthest you traveled from home during a 
 weekend ski trip? " (Exclusive of a vacation ski trip ) 
 miles or hours of travel time. 
 
 Average (mean) number - 3.6 hours 
 
 Hours traveled 
 
 less than 1 hour 
 1-2 hours 
 3 _ 4 » 
 5-6 " 
 Over 6 " 
 No answer 
 
 Percent 
 6.0^ 
 
 25.3 
 35.4 
 
 19.9 
 7.8 
 5.6 
 
 24 a 
 
"How many times did you make this trip?" 
 
 Average (mean) - 4.5 times 
 
 No. of times 
 longest trip made 
 
 3) "How many persons usually traveled in your ski party?" 
 
 Average (mean) - 3-7 persons 
 
 Persons in 
 skiing party 
 
 1-2 persons 
 
 3 - 4 
 
 5 - 6 
 
 7 - 8 
 
 9-10 
 
 Over 10 
 
 No answer 
 
 Percent 
 
 24.0^ 
 
 44.5 
 
 20.2 
 
 2.5 
 
 • 7 
 
 5.3 
 
 2.6 
 
 4) " Are the daily snow reports useful and helpful to you? 
 
 YES 89.3^ 
 
 NO 9.5 
 
 No answer 1.2 
 
 25 a 
 
" Can they be improved? " 
 
 YES 79-7 $ 
 
 "How?" 
 
 a) Revise the reporting system 12.4$ 
 
 b) Expand the content of the report 45.6 
 
 c) Other (Suggestions given)* 18.6 
 
 *26.5$ of the respondents expressed a desire to have 
 snow reports reflect a higher degree of truthfulness. 
 
 1. Have consistent standards 
 
 2. Have an independent reporting service 
 
 3. Report temperatures 
 
 4. Wider and more frequent distribution 
 
 5. Update more frequently 
 
 6. State depth of latest snowfall 
 7- Include forecasts 
 
 8. Distinguish between ice and snow 
 
 9- Report only new snow; or rain 
 
 10. Give information on packing 
 
 11. Report condition of lifts 
 
 12. Don't group ski areas 
 
 NO 14.7$ 
 
 No answer 5-6 
 
 5 ) " What means of transportation do you usually use to reach 
 
 your skiing destination ? 
 
 Private automobiles.. 94.0$* 
 Chartered or Tour bus 4.9 
 
 Other 2.3 
 
 Private airplane 
 School bus 
 
 No answer 1.4 
 
 *Will add to over 100$ as multiple answers were recorded. 
 
 6 ) " Please estimate the cost of this transportation for the 
 
 typical trip. " 
 
 Average (mean) cost/skier - $6.03* 
 
 *See section D for breakdowns of expenditures 
 
 26 a 
 
7) "How much do you spend on a typical ski trip once you 
 have reached your ski destination?" 
 
 Average (mean) expenditure - $12. 03/skier-day* 
 
 *See section D for breakdowns of expenditures 
 
 Total expense: transportation; ski lifts; lodging & meals; 
 rentals; ski school; after ski activities. 
 
 Average (mean) expenditure - $15. 88/skier-day 
 
 Skiers reporting the details of their "Typical" day or 
 weekend ski trip have been divided into two groups and var- 
 ious cross computations made as follows: 
 
 Percent of total market 
 
 Average cost of transportation 
 
 Average expenditure per day at 
 ski destination 
 
 Average (mean) expenditure per 
 skier-day 
 
 Skiers who 
 commute for 
 the day 
 
 47.0$ 
 $3.51 
 
 $7.44 
 $10.95 
 
 Skiers who 
 remain overnight 
 away from home 
 
 53.0$ 
 
 $8.29 
 
 $16.26 
 
 $20.40 
 
 27a 
 
Skiers who took a Ski Vacation in 1963-64 
 
 (Sample Size - 276) 
 
 This section describes the vacation ski habits of the 
 1962-63 skier market during 1963-64. Some data are compared 
 with data from the parent study and trends observed. 
 
 % of 1962-63 
 Skier Market 
 
 Ski season 
 
 1) Skiers who took a winter ski 1961-62* 1962-63* 1963-64 
 vacation. (Defined as a trip 
 lasting 4 or more days with 
 
 the primary purpose being to 27.1$ 39.2$ 38.3$ 
 participate in the sport of 
 skiing. ) 
 
 * The Skier Market - Northeast North America, U.S. Government 
 Printing Office,, Washington, D.C.,- Page 46 
 
 Many skiers reported taking more than one vacation trip. 
 Activity was reported as follows: 
 
 one trip 69 . 8% 
 
 two trips 23.O 
 
 three trips .5 
 
 four trips .2 
 
 many day trips during vacation time 5-6 
 
 no answer .9 
 
 28 a 
 
2)- " How many days of skiing did you get during this (these) 
 vacation trips? 
 
 No. of days 
 of skiing 
 
 1961-62 2 
 
 1962-63 2 
 
 1963-64 
 
 Under 3 
 
 11.50 
 
 17.80 
 
 2.50 
 
 4 - 5 
 
 36.4 
 
 37.0 
 
 34.0 
 
 6 - 7 
 
 24. "2 
 
 20.8 
 
 23.6 
 
 8 - 9 
 
 10.6 
 
 13.4 
 
 10.8 
 
 10 - 11 
 
 7.7 
 
 2.9 
 
 12.5 
 
 12 - 13 
 
 2.2 
 
 2.4 
 
 4.5 
 
 14 - 15 
 
 3-3 
 
 2.5 
 
 3.8 
 
 16 - 17 
 
 .8 
 
 .6 
 
 2.3 
 
 18 - 19 
 
 .9 
 
 1.0 
 
 .7 
 
 Over 20 
 
 2.4 
 
 1.6 
 
 5.2 
 
 Mean 
 
 6.9 days 
 
 6.2 days 
 
 8.4 . 
 
 3 ) " How many persons accompanied you on this (these) vacation 
 trips? " 
 
 I went, alone 1 . 40 
 
 Myself and one 26.3 
 
 Myself and 2 to 4 41.2 
 
 Myself and over 4 28.9 
 
 No answer 2.2 
 
 Mean number of skiers in vacation party - 4.6 skiers 
 
 -4 ) " Where did you go one this (these) vacation ski trips?" 
 
 Many skiers visited two or more states and/or ski areas 
 
 2/ The Skier Market - Northeast North America , U.S. Government 
 Printing Office, Washington , D.C., Page 47 
 
 29 a 
 
during their vacation trip or trips. Thus it is not possible 
 to measure the amount of vacation skiing received by each 
 geographic destination. The data measure the percent of vaca- 
 tioning skiers visiting each of the states. Since many visited 
 several the total will add to over 100$. Skiers listed the 
 areas where they skied during their vacation. Areas are listed 
 here in order of their attraction to vacationing skiers. Only 
 areas mentioned by 5 or more skiers are included. 
 
 Vacation Destination 
 
 New Hampshire, 
 
 1- Cannon Mt. 
 
 2- Wildcat 
 
 $ vacationing 
 skiers visiting 
 
 13-0$ 
 
 3- Cranmore Mt. 
 
 4- Mt. Sunapee 
 
 Vermont 
 
 1- Stowe 
 
 2- Mt. Snow 
 
 3- Killington 
 
 4- Stratton 
 
 5- Sugarbush 9- Magic Mt. 
 
 6- Big Bromley 9- Mt. Ascutney 
 
 7- Mad River Glen 10- Okemo 
 
 8- Jay Peak 11- Glen Ellen 
 
 New York , 
 
 1- Whiteface 
 Quebec , Canada, 
 
 2'- Catamount 
 
 1- Mt. Tremblant 
 
 2- Grey Rocks 
 
 3- Mt. Sutton 
 
 4- Mt. Gabriel 
 
 5- Mt. Orford 
 5- St. Sauveur 
 
 Maine 
 
 1- Sugarloaf Mt. 2- Pleasant Mt 
 
 Colorado 
 
 1- Aspen 2- Vail 
 
 Massachusetts 
 
 Pennsylvania 
 
 Europe ■ , 
 
 1- Austria 2- Switzerland 
 Other , 
 
 57-5 
 
 15.2 
 13-1 
 
 11.9 
 8.8 
 
 7.2 
 4.4 
 4.7 
 
 30a 
 
5 ) " What mean? of transportation did you use to reach your 
 vacation destination? 
 
 1963-64* 
 
 91.55* 
 1.9 
 
 2.2 
 2.0 
 6.4 
 
 3.0 
 3.7 
 
 .2 
 
 Private automobile 
 
 Rental automobile 
 -Bus, scheduled service 
 ■Bus, chartered or tour 
 
 Air, scheduled service 
 
 Air, chartered or tour 
 
 Other: train, private plane 
 
 No answer 
 
 *Will add to over 100$ due to recording multiple answers 
 6 ) "What was the cost of this transportation? " 
 
 Average (mean) cost per vacationing skier - 
 
 $43.25 
 
 Average (mean) cost per vacation skier-day 
 
 5.51 
 
 (see Section D for breakdown of expenditures) 
 
 7) "How much did you spend on this (these) vacations once 
 " you reached your ski vacation destination? " 
 
 Average (mean) expenditure per vacationing skier- $147-46 
 Average (mean) expenditure per vacation skier-day- $18.93 
 
 (see Section D for breakdown of expenditures) 
 
 31 a 
 
8 ) "What influenced your decision on where to spend your 
 
 ski vacation? " 
 
 % of skiers* 
 
 Vacation home at destination 14.1 
 
 Travel agency 
 
 Travel information center 1.5 
 
 Recommended by friend 26.5 
 
 Special promotion (learn to ski, etc.) 11.6 
 
 Snow reports 18.5 
 
 Personal knowledge of area 60.7 
 
 Travel advertisement 1.6 
 
 Ski area brochure 11.8 
 
 Recommended by ski shop owner or employee 2.1 
 
 Ski show or ski movie 1.9 
 
 Other 14.0 
 
 (Reasons given were: friend went to this area; Junior 
 ski races; ski club; price factors; inexpensive lodging; 
 lift facilities; slope difficulty; reputation of ski 
 school; good snow; professional meeting at area; wished 
 to try new ski area) 
 
 No answer 2.8 
 
 *Will add to 167$ as most respondents reported more than 
 one factor influenced their decision. 
 
 32a 
 
Special Sub-Markets 
 
 Three special sub-markets have been Identified and cer- 
 tain meaningful data compiled concerning their habits and 
 expenditures. These sub-markets are described below and com- 
 parative statistics are shown on Table 2. 
 
 A) SEASON TICKET HOLDERS 
 
 1 ) " Do you have a season's pass at a ski area for 1963-64? " 
 
 % of skiers 
 
 % of skier-days 
 accounted for: 
 
 YES 
 
 NO 
 
 No answer 
 
 14.6^ 
 82.9 
 2.5 
 
 25.0^ 
 72.2 
 2.7 
 
 2) "How many days did you ski this area?" 
 
 Average (mean) - 23.0 days 
 
 No. of 
 
 days of 
 
 skiing 
 
 on season 
 
 ticket 
 
 
 
 Under 10 
 
 
 11 - 20 
 
 
 21 - 30 
 31 - 40 
 41 - 60 
 61 - 80 
 
 Over 80 . 
 No answer 
 
 % of skiers 
 
 16.1 
 
 34.3 
 21.7 
 12.3 
 
 5.8 
 .6 
 
 1.7 
 
 7.5 
 
 % of skier-days 
 accounted for 
 
 10.9$ 
 
 29.9 
 24.1 
 17.2 
 
 8.1 
 
 1.1 
 
 1.7 
 
 6.9 
 
 3 ) " How many different areas did you ski during this past 
 
 winter? 
 
 All skiers 
 
 Season ticket holders 
 
 Average 
 
 4.0 areas 
 3.8 areas 
 
 4 ) " How many days did you ski during this past winter? " 
 
 Average Average at area 
 
 where tkt purchased 
 
 .11 skiers 15.5 days 
 
 Season ticket holders.. 29.1 days 
 
 23.0 days 
 
 33a 
 
B) SKIERS WITH THE USE OF A WINTER HOME IN SKI COUNTRY 
 
 " Do you own, rent or do you have the use of a winter home, 
 chalet or cabin; or do you belong to a group or club that 
 owns or rents a winter home in the ski country? 
 
 % of skiers % of skier-days 
 accounted for 
 
 YES 30.7$ 36.9$ 
 
 NO 64.7 58.1 
 
 No answer 4.6 5.0 
 
 Among those answering YES the ownership was as follows: 
 
 $ of skiers* 
 
 Residence owned by myself or family 22.7$ 
 
 Residence Is permanent home 7-1 
 
 Residence owned by friends 22 . 2 
 
 Residence rented 23 . 2 
 
 Residence owned by group or club 11.3 
 
 Residence rented by group or club 15-5 
 
 *Will add to over 100$ as multiple answers were recorded. 
 
 This residence is located in: 
 
 Northern Vermont 24.6$ 
 
 Southern "Vermont 24.1 
 
 New Hampshire 19-7 
 
 Adirondacks 16 . 
 
 Catskills or Poconos 8.2 
 
 Quebec 6.0 
 
 Maine 4.5 
 
 Berkshires 2.7 
 
 Central or Western New York 1.9 
 
 Western Penn., W. Va., Maryland 1.2 
 
 Outside NENA 4 
 
 No answer 5-0 
 
 34a 
 
TABLE 2 
 Habits, Expenditures and Socio-economic Characteristics of Special Sub-markets 
 
 All Skiers 
 
 Sample size (695 ) 
 
 Skiers with 
 season tkt. 
 1963-64 
 
 (174) .. 
 
 1 Day Trip 
 skiers 
 
 (294) 
 
 Percent of skier-days 
 
 accounted for : 100 . 
 
 (by percent of skier-days accounted for) 
 25.0$ , 
 
 Skiers having 
 use of home 
 in ski country 
 
 , . (229) 
 
 l) Have season's tkt. 1963-64. 
 
 2) Average number of areas, 
 skied in 1963-64 
 
 25.0 
 
 4.3 areas, 
 
 areas . 
 
 Percent of skiers 
 
 5) Frequency of participation...., 
 
 6) Took a ski vacation in 1963-64. 
 
 7) Have use of a home in 
 
 ski country 
 
 (by percent of skiers) 
 
 100.0$ 14.6$ . . , 
 
 15.5 days. . 29.1 days, 
 38.3$ 41.5$ .. , 
 
 28. 
 
 53.' 
 
 8) Male skiers 
 Female skiers 
 No answer 
 
 9) Single skiers 
 Married skiers 
 No answer 
 
 L0 
 
 Students 
 
 Professional, etc, 
 Clerical, etc. 
 Managers, etc. 
 Craftsmen, etc. 
 Housewives 
 Salesworkers 
 Laborers, etc. 
 Military service 
 No answer 
 
 LI) Age 12 - 18 
 19 - 22 
 23 - 30 
 31 - 40 
 41 - 50 
 Over 50 
 No answer 
 
 64.5$ 69. 
 
 .2) Income (except students) 
 
 Under $ 6,000 
 
 $6,000 - * 9,999 
 
 $10,000 - $14,999 
 
 Over $15,000 
 
 No answer 
 
 34.9 
 .6 
 
 56.7 
 42.9 
 
 • 5 
 
 30.8 
 
 23.4 
 
 10.5 
 
 10.0 
 
 8.0 
 
 8.6 
 
 3.7 
 
 2.2 
 
 • 3 
 2.5 
 
 20.5 
 16.8 
 23.4 
 20.8 
 13.2 
 4.6 
 .7 
 
 18.0 
 29.0 
 21.5 
 27.9 
 3.6 
 
 29.8 
 .7 
 
 47.2 
 
 52.6 
 
 .2 
 
 32.2 
 
 24.3 
 
 5.4 
 
 13.7 
 
 9.6 
 
 8.0 
 
 3-0 
 
 1.1 
 
 .2 
 
 2.5 
 
 27.6 
 9.4 
 15.6 
 21.6 
 20.9 
 4.9 
 
 13.4 
 23.0 
 25.3 
 34.9 
 3.4 
 
 26 . 2$ 
 
 4.2 areas 
 
 3) Average cost for transportation. $ 6.78 $ 4.77 $ 3. 51 
 
 4) Average expenditure at ski $13.65 - $ 7.44 
 
 destination 
 
 36.9$ 
 33-2 
 
 $6.99 
 $12.31 
 
 14.6 days, 
 
 14.9$ 
 
 71.2J 
 28.5 
 
 • 3 
 
 52.3 
 
 47.3 
 
 .4 
 
 40.2 
 20.9 
 6.0 
 9-3 
 6.7 
 9.0 
 2.6 
 2.6 
 .1 
 2.6 
 
 28.1 
 17.6 
 14.5 
 21.5 
 13.0 
 4.4 
 
 • 9 
 
 15.0 
 31-9 
 25.4 
 25.0 
 2.7 
 
 30.7^ 
 20.1 days 
 52.1$ 
 
 60.4$ 
 38.9 
 .7 
 
 61.4 
 
 38.4 
 
 .2 
 
 27.2 
 22.8 
 10.9 
 14.1 
 
 9.7 
 
 8.1 
 
 2.9 
 
 3.1 
 .6 
 .6 
 
 15.0 
 14.3 
 34.1 
 22.5 
 
 9.2 
 
 4.4 
 .5 
 
 20.4 
 37.1 
 18.1 
 20.5 
 3-9 
 
 35 a 
 
LIMITATIONS 
 
 Statistical accuracy depends upon obtaining a represent- 
 ative sample and collecting correct data. 
 
 1 ) Limitations of the Representative Sample 
 
 Sample design and selection is disussed in the Appendix 
 under Methodology. The sample achieved is subject 'to some 
 bias, but generally meets the criterion of a random sample. 
 While bias due to allowing a skier who participates more often 
 a greater chance of selection has been adjusted for, a similar 
 bias is present due to the probable higher chance of selection 
 afforded a "harder" skier. Lift line interviews may have al- 
 lowed this skier more chances of selection although techniques 
 utilized minimized this possibility. Some bias is present 
 through failure to obtain cooperation from all skiers initially 
 approached. Reports from the field indicated that very few 
 refusals were encountered during Stage I collection. Names and 
 addresses were collected from 1,710 skiers. No names were col- 
 lected from children under 12 years. Thus, since children com- 
 prised 9.5% of the field sample, this indicates that only some 
 92 skiers refused to cooperate in the Stage II mail survey. 
 
 2) Limitations Due to Sampling Bias 
 
 Findings are valid for the described market only. 
 
 3 ) Limitations due to Respondent Bias 
 
 A sub- sample of 100 non-respondents to the mail questionnaire 
 was conducted and is included in the Appendix, Section C. Find- 
 ings differed significantly for questions concerning ownership 
 or use of a winter home and the percent of those who reported 
 taking a winter ski vacation. 
 
 36 a 
 
APPENDIX 
 
 Table of Contents 
 
 Page 
 
 A Methodology 40 
 
 B Calculations 41 
 
 1) Statistical Confidence Limits 4l 
 
 2) Approximate Days of Skiing Annually 4l 
 
 C Sub-sample of Non-Respondents 42 
 
 D Copy of Mail Questionnaire 45 
 
 37c 
 
APPENDIX A 
 Methodology 
 
 Since this study is a continuation and the sample the 
 same one used in the parent study, The Skier Market - North- 
 east North America, the reader is referred to this study 
 for a description of methods used. 
 
 Data presented here were collected by mail questionnaire 
 (A copy appears on the next page). Two mailings to the 1710 
 skiers on the mailing list yielded 757 useable returns. 151 
 questionnaires were returned as undeliverable and marked as 
 follows : 
 
 "Moved, left no address" 5^ 
 
 "No such address " 56 
 
 "Unknown" 4l 
 
 151 
 
 A sub- sample of 100 non-respondents was conducted and 
 results are shown in Appendix C. 
 
 38a 
 
APPENDIX B 
 Calculations 
 
 1710 Skier 
 
 695 Skier 
 
 Sample 
 
 Sample 
 
 + 1.5% 
 
 + 2.3% 
 
 + 1.9% 
 
 + 3-0% 
 
 + 2.2.% 
 
 + 3-5% 
 
 + 2.4% 
 
 + 3-7% 
 
 + 2.4% 
 
 + 3.8% 
 
 l) Statistical Confidence Limits 
 
 Sample % 95% Confidence Limits 
 
 90 - 10, 
 80 - 20. 
 70 - 30, 
 60 - 40, 
 50 
 
 For example: The computed percentage of skiers who 
 are male is 64.5% (See page 5). This finding was from the 
 695 skier sample. To determine the statistical limits one 
 would look at the table under "695 skier sample" and oppo- 
 site the 60 - 40 sample percentage. The limits are 3-7%. 
 Therefore statistical accuracy tells us that chances are 
 95 in 100 that true universe percentage is between 60.8% 
 and 68.2%. 
 
 2 ) Approximate Days of Skiing Annually 
 
 Class Mid-point Reciprocal 
 
 Under 10 5.0 1/5.0 or .2000 
 
 11-20 15.5 1/15.5 or .0645 
 
 21-30 25.5 1/25.5 or .0392 
 
 31-40 35.5 1/35.5 or .0282 
 
 41-60 50.5 1/50.5 or .OI98 
 
 61-80 70.5 1/70.5 or .0142 
 
 Over 80 90.0 1/90.0 or .0111 
 
 39 a 
 
APPENDIX C 
 
 Sub-sample of Non-Respondents 
 
 A sub-sample of 100 of 802 non-respondents was selected 
 by random methods in late May. The 151 who were non-respon- 
 dents due to the fact that questionnaires were undeliverable, 
 were not included in the 802 non-respondents from which the 
 100 sub-sample was selected. 
 
 59 were contacted by telephone and answered selected 
 questions as well as the classification section. 
 
 30 non-respondents were not reached due to the unavail- 
 able listing of a telephone number for the name spelled as 
 we had recorded it, or the address as given. 
 
 11 were not reached due to failure to answer the tele- 
 phone after four to six attempts. 
 
 Findings of the sub-sample as compared to the main 
 sample are shown below: 
 
 " Did you go skiing this past winter? " 
 
 % of skiers 
 Main Sample Sub- sample 
 Sample size (757) (59) 
 
 YES 86.8% 82.9% 
 
 NO 13.2 17.1 
 
 " If you did not ski please tell us why? " 
 
 % of skiers 
 Main Sample Sub-sample 
 Sample size (62) (4) 
 
 1) "We had a child" 22.6% 
 
 2) "My job leaves me no time".. 19.2 
 
 3) "I have moved" 12.6 
 
 4) "I found skiing too expensive 11.5 
 
 5) "I married" 5.7 
 
 6) "I have taken up another 
 
 winter activity" 2.9 
 
 7) "I do not enjoy skiing - 30.1% 
 
 8 Other 44 . 7 60 . 2 
 
 9 ) No answer 1.5 9.7 
 
 " Do you intend to return to the sport of skiing 
 at some future date? 
 
 % of skiers 
 Main sample Sub-sample 
 
 (4) 
 
 39.8% 
 
 60.2 
 
 
 (62) 
 
 YES 
 
 90.2% 
 
 NO 
 
 2.8 
 
 No answer 
 
 7.0 
 
 40a 
 
Non-re -pondents who did ski during 1963-64 were asked 
 the following key questions: 
 
 Sample size. 
 
 % of skiers 
 Main sample Sub-sample 
 
 " Did you have a season's pass 
 at a sFi area for 1963-64 ?" 
 
 (695) 
 
 14. 6^ 
 82.9 
 2.5 
 
 YES 
 
 NO 
 
 No answer 
 
 " Do you own, rent or do you have 
 the use of a winter home, chalet, or 
 cabin; or do you belong to a group or 
 olub that owns, or rents a home in the 
 ski country ?" 
 
 YES 30.7^ 
 
 NO 64.7 
 
 No answer 4.6 
 
 "Did you take a ski vacation of 
 4 or more days during this past winter? " 
 
 YES 
 NO 
 
 38. 3% 
 61.7 
 
 " How many days of skiing did you get 
 during this (these) vacation trip (s ) ?' 
 
 Average (mean) number of days 
 Classification Data: Sub-sample size 
 
 a. Skiers by sex: 
 
 Male skiers 
 
 Female skiers 
 
 No answer 
 
 b. Skiers by marital status: 
 
 Single skiers 
 
 Married skiers 
 
 No answer 
 
 c. Skiers by education: 
 
 Grade school 
 
 'Some High School 
 
 Graduated High School 
 
 Some College 
 
 Graduated College 
 
 Post Graduate work 
 
 (55) 
 
 11 
 
 17.8? 
 
 82.2 
 
 55.3^ 
 44.7 
 
 i in Sample 
 
 Sub- sample 
 
 8.4 days 
 
 6.2 days 
 
 (695) 
 
 (55) 
 
 64.5^ 
 3^.7 
 .8 
 
 59.0^ 
 41.0 
 
 56.7^ 
 42.9 
 .5 
 
 63-5^ 
 36.5 
 
 98.2^ 
 
 98.1 
 
 96.1 
 
 84.4 
 
 68.6 
 
 32.4 
 
 100.0^ 
 100.0 
 
 92.3 
 62.0 
 
 39.1 
 
 17-0 
 
 41a 
 

 Skiers by Occupation Groups : 
 
 Students 
 
 Professional^, Technical & kindred 
 workers (Drs, Lawyers., teachers, 
 engineers, etc.) 
 
 Clerical & kindred workers 
 
 Managers, Off icials, Proprietors . 
 
 Craftsmen, Foremen & kindred.... 
 workers (Ski Instructors) 
 
 Housewives 
 
 Sales workers 
 
 Laborers, Service workers, Oper- 
 ators, etc. 
 
 Military Service Personnel 
 
 No answer 
 
 Skiers by age Groups : 
 
 Age 12 - 18 
 
 " 19-22 
 
 " 23-30 
 
 " 31 - 40 
 
 " 41-50 
 
 Over 50 
 
 No answer 
 
 in Sample 
 
 Sub- sample 
 
 30.8% 
 23.4 
 
 31.4% 
 22.2 
 
 10.5 
 
 10.0 
 
 8.0 
 
 9.4 
 
 12.4 
 
 7.4 
 
 8.6 
 3-7 
 2.2 
 
 8.9 
 .6 
 
 7-7 
 
 • 3 
 2.5 
 
 - 
 
 20.5^ 
 16.8 
 23.4 
 20.8 
 13.2 
 4.6 
 .1 
 
 21.9$ 
 
 9-3 
 23.1 
 
 34.8 
 7.1 
 3.8 
 
 f. Skiers by Income Groups: 
 (Except Students) 
 
 (Sample Size ) , 
 
 (479) 
 
 (38. 
 
 Under $6,000 annually 
 $ 6,000 - $9,999 " 
 $10,000 -$14,999 " 
 Over $15,000 " 
 No answer 
 
 18.0$ 
 
 8.0% 
 
 29.0 
 
 30.7 
 
 21.5 
 
 28.6 
 
 27.9 
 
 8.5 
 
 3.6 
 
 24.2 
 
 42 a 
 
APPENDIX D 
 
 STATE OF NEW HAMPSHIRE 
 
 CONCORD 
 
 JOHN W. KING 
 GOVERNOR 
 
 Dear Skier: March 31, 1964 
 
 Last winter you helped us with a most successful market study of skiers. The report titled 
 "The Skier Market — Northeast North America" is available at a cost of 45c per copy. If you 
 would like a copy send your request to: 
 
 Superintendent of Documents 
 
 U. S. Government Printing Office 
 
 Washington, D. C. 20402 
 
 We ask your cooperation again with a follow-up study. This new data, together with the 
 information we gathered last winter will enable us to chart trends and provide a more detailed 
 description of skiers and their habits. It is facts gathered from you, the skier, that will shape the 
 ski industry and help them provide the services and facilities that you desire. 
 
 Again, it is most important that YOU reply. Please do not give this questionnaire to an- 
 other skier. If you did not ski during this past ski season (1963-64) would you help by answering 
 the first three questions and returning the questionnaire? If you did ski again this past season 
 skip to question four and complete. 
 
 Please return the questionnaire as soon as possible. Returns must be received prior to April 
 15, 1964 in order to be useful. 
 
 Thank you for your cooperation. 
 
 Sincerely, 
 
 SUu 
 
 
 
 JOHN W. KING 
 Governor 
 
 SKIER SURVEY 
 
 1 — Did you go skiing this past winter (Nov. - Dec. 1963; Jan. - Feb. - Mar. - Apr. 1964)? 
 
 If YES skip to Question #4. □ Yes □ No 
 
 2 — If you did not ski please tell us why. 
 
 Q a — I have moved ] g — I have taken up another winter 
 
 Q b — I married recreational activity 
 
 □ c — We had a child (Activity ) 
 
 □ d — My job leaves me no time □ h — Other: Specify 
 
 □ e — I fou-iJ skiing too expensive 
 
 □ f — I do not enjoy skiing 
 
 3 — Do you intend to return to the sport of skiing at some future date? □ Yes □ No 
 
 4 — How many days did you ski during this past winter? (1963-64) 
 
 a — Weekend & Holiday days: (all Sat. & Sun. & Dec. 26, 27, 30, 31, Jan. 1, 2, 3) 
 
 b — Mid-week days: 
 
 c — Total days of skiing: 
 
 43 a 
 
5 — How many different ski areas did you ski during this past winter? 
 
 6 — What was the farthest you traveled from home during a weekend ski trip? (Exclusive of a 
 
 vacation ski trip) miles or hours of travel time 
 
 a — Ski area visited 
 
 b — How many times did you make this trip? 
 
 7 — Are the daily snow reports useful and helpful to you? 
 8 — Can they be improved? 
 
 D Yes 
 D Yes 
 
 D No 
 □ No 
 
 9— How? 
 
 ] a — Revise the reporting system (i.e.: Good, Fair, Poor, etc.) 
 ] b — Expand the content of the report (more details) 
 □ c — Other 
 
 10 — Do you have a season's pass at a ski area for 1963-64? Q Yes fj No 
 
 IF YES: What area? 
 
 How many days did you ski this area? 
 
 Typical day or weekend ski trip: 
 
 Questions 1 1 thru 16 seek information about a typical day or weekend ski trip during the 
 past winter. (Not a vacation trip) Please answer in as much detail as you can. However, the in- 
 formation will be valuable even if you cannot complete the section. 
 
 11 — How many persons usually travel in your skiing party? Persons. 
 
 12 — What means of transportation do you usually, use to reach your skiing destination? 
 □ Private Automobile □ Chartered or tour Bus 
 □ Other (Specify) , 
 
 13 — Please estimate the cost of this transportation for the typical trip. 
 
 $ (Gas, oil or passenger fare) 
 
 14 — How much do YOU spend on a typical ski trip once you have reached your ski destination? 
 
 TOTAL for days. 
 
 This amount is divided approximately as follows: 
 
 a — Lodging & meals 
 b — Ski Lift tickets . . 
 c — Equipment rental 
 d — Ski schooi .... 
 e — After ski activities 
 
 (admissions, bar, etc.) 
 f — Other: 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 15 — Do you own, rent, or do you have the use of, a winter home, chalet, or cabin,- or do you be- 
 long to a group or club that owns, or rents a home in the ski country? Q Yes fj] No 
 
 ] a — Residence owned by myself or my family. 
 
 ] b — Residence owned by friends. 
 
 □ c — Residence rented. 
 
 □ d — Residence owned by group or club. 
 
 □ e — Residence rented by group or club. 
 
 16 — The residence is located in near 
 
 (town) 
 I used the residence times during the 1963-64 ski season. 
 
 (ski area) 
 
 Ski Vacations: 
 
 Questions #17 thru #23 seek information about your past winter's ski vacation. If you 
 took a vacation ski trip during the winter 1963-64 please complete the following section. (De- 
 fined as a trip lasting 4 or more days with the primary purpose being to participate in fhe sport 
 of skiing) 
 
 17 — How many days of skiing did you get during this (these) vacation trip(s)? 
 
 (Included in answer to Question #4) 
 
 44 a 
 
18 — Where did you go on this (these) vacation ski trip(s)? 
 
 STATE 
 
 □ a — Maine 
 
 □ b — New Hampshire 
 
 □ c — Vermont 
 
 □ d — Massachusetts 
 
 □ e — New York 
 
 □ f — Pennsylvania 
 
 □ g — Quebec 
 
 □ h— 
 
 a i— 
 
 AREAS SKIED 
 
 19 — How many persons accompanied you on this (these) Vacation ski trip(s)? 
 
 a — Trip #1 myself with others 
 
 b — Trip #2 myself with .. others 
 
 20 — What means of transportation did you use to reach your vacation destination? 
 
 □ Private Automobile □ Air, scheduled service 
 
 □ Rental Automobile □ Air, Chartered or special tour 
 
 □ Bus, scheduled service □ Other ( ) 
 
 ] Bus, Chartered or tour 
 
 21 — What was the cost of this transportation $ (Your share) 
 
 $ (Yourself) 
 
 22 — How much did YOU spend on this (these) vacation(s) once you reached your ski vacation des- 
 tination? 
 
 TOTAL for days 
 
 This amount is divided approximately as follows: 
 
 a — Lodging & meals 
 b — Ski lift tickets . . 
 
 c — Equipment rentals 
 
 d — Ski school 
 
 e — After ski activities 
 (admissions, bar, etc.) 
 
 f — Ski equipment 
 
 (Purchase of skis, poles, boots, 
 waxes, clothing, etc. at your vaca- 
 tion destination.) 
 
 g — Other: 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 $ (Yourself) 
 
 (Yourself) 
 
 23 — What influenced your decision on where to spend your ski vacation(s)? 
 
 [~~1 Vacation home at destination ] Personal knowledge of area 
 
 □ Travel agency □ Travel advertisement 
 ] Travel information center ] Ski area brochure 
 
 □ Recommended by friend [J Recommended by ski shop owner 
 
 □ Special promotion (Learn to ski or employee 
 
 week, etc.) □ Ski show or ski movie 
 
 □ Snow reports 
 
 □ Other: 
 
 24 — Did you take a ski vacation last season? (1962-63) 
 
 D Yes 
 
 □ No 
 
 CLASSIFICATION DATA 
 
 Would you please complete the following classification section. We are interested for 
 statistical purposes only and replies will be kept confidential. 
 
 25 — Marital status of respondent. QJ Single Q Married 
 
 26 — Sex of respondent. □ Female □ Male 
 
 4-5 a 
 
27 — Age of respondent. □ 12-18 □ 19-22 □ 23-30 □ 31-40 
 
 □ 41-50 □ over 51 
 
 28 — What is your approximate annual income before taxes and payroll deductions? (Heads-of- 
 Households, housewives & students who are supported by parents please indicate family income 
 level.) 
 
 □ Under $6,000 □ $6,000 to $9,999 
 
 □ $10,000-$ 14,999 □ Over $15,000 
 
 29 — Education of respondent. (Circle highest year completed.) 
 
 12 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 
 
 Grade School High School University or Graduate School 
 
 Trade School 
 
 30 — What is your occupation? ____ 
 
 Thank you. When you have finished the questionnaire, fold and insert the top of the ques- 
 tionnaire into the fold at the bottom. (Or staple or tape together). Deposit in the nearest mail 
 box. No stamp is necessary. Postage will be paid by the recipient. 
 
 46, 
 
THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 A Market Research Study 
 
 A Technical Assistance Project 
 Prepared under ARA Contract Cc 5988 by 
 Sno-Engineering Inc., Franconia, N. H. 
 
 U. S. DEPARTMENT OF COMMERCE 
 Area Redevelopment Administration 
 
 For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C., 20402 
 
 Price 60 cents. 
 
SYNOPSIS 
 "THE SKIER MARKET - NORTHEAST NORTH AMERICA" 
 The objectives of this study were: 
 
 1) To determine the size of the skier market. 
 
 2) To determine the short term growth trend of the skier market. 
 
 3) To determine selected preferences, habits and socio-economic 
 characteristics of the skier market. 
 
 A summary of the findings of this study are: 
 
 1) There are approximately 447,600 skiers in this skier market. 
 
 2) 19.5% or some 87,000 skiers were skiing for the first time in 
 1962-63. 59.6% or some 267,000 skiers have skied less than 
 five years. 
 
 3) The number of skiers comprising the market have grown at some 
 rate not in excess of 16.7% annually. 
 
 4) 36.7% of the market reside in the Connecticut, Southeast New 
 York State, and New Jersey and Eastern Pennsylvania "Megaloplis" . 
 
 17.4% of the market reside in the Eastern Massachusetts and 
 Rhode Island metropolitan region. 
 
 11.1% of the market reside in the Montreal metropolitan region. 
 
 5) Skiers participate an average of 12.7 days annually. 
 62.6% of skiers over age 23 are college graduates. 
 The median age of skiers is 24.7 years. 
 
 The median income of skiers (except students) is $8,550. 
 
 67.6% of skiers belong to family groups where 2 or more members 
 ski . 
 
 39.2% of skiers took a ski vacation during the 1962-63 ski season 
 
 These vacation skiers spent an average of $16.78 per skier- 
 day for an average of 6.2 days of vacation skiing each. 
 
 li 
 
50.7% of skiers usually stay overnight when on a ski trip. 
 
 31.27o of skiers ski an average of 13.5 mid-week days annually. 
 
 6) There were approximately 7,920,000 skier-days of skiing accomplished 
 by these 447,600 skiers during the 1962-63 season. 
 
 1,090,000 days by vacation skiers. 
 4,950,000 days by weekend skiers. 
 1,880,000 days by mid-week skiers. 
 
 Use of the data depends mainly upon the nature and location of the 
 particular recreation site to be evaluated. However, two general con- 
 clusions concerning the overall skier market have been drawn: 
 
 (1) There is need for additional ski facilities designed and located 
 to meet the present demand for weekend and holiday skiing. The Quanti- 
 tative Analysis (Section V) shows demand is 1227o of supply. 
 
 (2) There is at present an over-capacity of facilities designed and 
 operated to cater to vacationing skiers. Demand is 31% of supply. 
 
 in 
 
THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 TABLE OF CONTENTS 
 
 page 
 
 SYNOPSIS ii 
 
 INTRODUCTION i 
 
 SECTIONS 
 
 I OBJECTIVES 2 
 
 II APPROACH 3 
 
 III FINDINGS 4 
 
 A SIZE 4 
 
 B NEW SKIERS g 
 
 C GROWTH TREND H 
 
 D GEOGRAPHIC DISTRIBUTION 14 
 
 Regional Skier Market Sources 15 
 
 Regional Skier Market Destinations 31 
 
 E MARKET DESCRIPTION 43 
 
 1. Vital Statistics 43 
 
 2. Skier Habits 46 
 
 3. Skier Preferences 54 
 
 4. Equipment Ownership 57 
 
 F MARKET DESCRIPTION - SPECIFIC MARKETS 58 
 
 IV LIMITATIONS 60 
 
 V QUANTITATIVE ANALYSIS 61 
 
 A FINDINGS 61 
 
 B 1962-63 SKI FACILITY USAGE 61 
 
 C 1962-63 SKI AREA CAPACITY 62 
 
 APPENDIX . 65 
 
THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 
 The vacation-travel and recreation sector of the economy of Northern New 
 igland and the mountainous regions of West Virginia, Pennsylvania, and New 
 srk is assuming tremendous importance. The relatively new sport of skiing is 
 le major winter activity drawing tourists to these sections of Northeast North 
 aerica. Many communities depend upon skiers for their livelihood. 
 
 At the same time selected pockets of substantial and persistent unemploy- 
 mt exist. Generally unemployment is highest during the winter months. 
 
 With these facts in mind, this study was undertaken as a Technical Assis- 
 mce Project for the Area Redevelopment Administration, United States Depart- 
 nt of Commerce. The expressed purpose was to gather market data for the 
 irpose of establishing criteria with which to evaluate the economic potential 
 >r development or expansion of winter recreation facilities in redevelopment 
 •eas. The research is designed for use by the Area Redevelopment Administra- 
 .on and such others (possibly with ARA financial assistance) as entrepreneurs, 
 ivestors, bankers, industry groups and other governmental bodies in evaluating 
 le economic feasibility of proposed ski developments and expansions. It was 
 Jianced largely through ARA's Technical Assistance Program, although a small 
 irt of the study's total cost was contributed by The State of New Hampshire, 
 apartment of Resources and Economic Development; The New York State Joint Leg- 
 ilative Committee on Winter Tourists; The United States Eastern Amateur Ski 
 isociation; and the Eastern Ski Area Operators Association. Assistance in the 
 >rm of official endorsement was received by The State of Maine Department of 
 :onomic Development and The New England Council. 
 
 The business of providing winter recreation (mainly skiing) for an increas- 
 igly active population has grown without much overall guidance. From 1952 to 
 |6l, uphill ski lift capacity in New England grew at a fantastic annual rate 
 21%.* As a consequence, while providing facilities for winter recreation has 
 come a leading industry in many mountain locales, no objective measure or de- 
 ription of the market existed. 
 
 "The Skier Market - Northeast North America" was conceived to provide this 
 asure. It is the hope of both the Area Redevelopment Administration and the 
 searcher, Sno-engineering, Inc. that data presented on the following pages 
 11 guide potential recreational investors to sound financial decisions; aid 
 i determining proper land use; and be incorporated into state and local devel- 
 ment planning. Such use will ultimately help a large and important new 
 dustry toward stable growth. 
 
 The Area Redevelopment Administration is not responsible for the accuracy 
 the information contained in this report nor does it necessarily endorse any 
 anions, conclusions, or recommendations which may be a part thereof. The 
 ndings, conclusions and recommendations contained herein are the sole respon- 
 bility of Sno-engineering, Inc. in its capacity as consultant to The Area 
 development Administration. 
 
 Special Summary, Capacity of Major Ski Lifts in New England and Eastern 
 lerica, Winter 1960-61 Research Division, New Hampshire State Planning and 
 velopment Commission. 
 
OBJECTIVES 
 
 It is the objective of this report to gather quantitative and qualitative 
 market data to determine the extent, nature, and potential of the skier market 
 in Northeast North America. 
 
 The specific objectives are: 
 
 1) To determine the size of the skier market within acceptable 
 statistical limits. 
 
 2) To determine the short term growth trend of this market. 
 
 3) To determine the habits, selected preferences, geographical 
 distribution, and vital statistics of this market. 
 
II 
 
 APPROACH 
 
 To determine size, short of a census, it becomes necessary to measure the 
 ationship between skiers and some known common denominator. Totaling skier- 
 's (one skier skiing one day) is a commonly used measure and a useful tool 
 evaluating need for new and/or expanded facilities. This measure is used in 
 
 west where a majority of ski areas are located on U.S. Forest Service land, 
 comparable common denominator exists in the east where skiing is done mainly 
 private land. Other possible common denominators include (A) Membership in 
 ing organizations, (B) Subscriptions to skiing publications, (C) Ownership of 
 istered equipment. Use of these common denominators plus the need to describe 
 
 market required a consumer survey. 
 
 A two stage study was conducted. The first stage was a personal interview, 
 ers were selected in a systematic fashion from lines waiting to board a ski 
 t. The lines to be sampled were selected by essentially random techniques. 
 
 second stage involved use of a mail questionnaire. A 10$ sub-sample of the 
 ers participating in the first stage were asked for more detailed information 
 cerning their habits,, preferences, and socio-economic characteristics. 
 
 There are three samples each with different degrees of statistical accuracy. 
 
 1) Main sample: 19,903 interviews 
 
 Data on size, new skiers, frequency of participation, and appro xima te 
 age is compiled using this large sample. 
 
 2) Sub-sample: 1,710 interviews 
 
 Data on geographical distribution for both total and regional markets 
 was compiled using this medium sample. These 1,710 skiers were mailed 
 the detailed questionnaire. 
 
 3) Response- sample.: 951 returned questionnaires 
 
 All data on habits, makeup and preferences is compiled from this smallest 
 sample . 
 
 Statistical confidence limits for each sample at various percentages are 
 wn in the Appendix, B (Calculations). 
 
 Findings are presented in terms of both skiers and skier-days . The data 
 collected is weighted by skiers according to their frequency of participation, 
 the more often a person skiied the greater their chances of selection. This 
 djusted data describes the market in terms of skier-days . An adjustment is 
 essary to measure and describe skiers . 
 
 Adjustment is accomplished by unweighting the data according to each skier's 
 orted frequency of participation. Skiers were asked " Approximately how many 
 s do you usually ski each season? " Answers were recorded in seven categories 
 adjustment made by multiplying each answer by the reciprocal of the class mid- 
 at as shown in the Appendix, B (Calculations). 
 
Ill 
 
 FINDINGS 
 
 SIZE 
 
 There are approximately 447,600 skiers who participated at ski areas in 
 Northeast North America during the winter of 1962-63. 
 
 1) Method 
 
 Market size is based upon the sample proportion of skiers holding member- 
 ship in the United States Eastern Amateur Ski Association. Skiers claiming 
 membership accounted for 10.3$ of the skier-days of skiing done. 5.60$ of skie 
 claim membership. 
 
 a. Step one: 19,903 skiers were asked if they held membership in the 
 U.S.E.A.S.A. 
 
 b. Step two: 2,057 of these skiers answered "yes" (10.33$). 
 
 c. Step three: Data was unweighted to adjust for the disproportionate 
 skier sample arising from the varying frequency of participation (See meth 
 under "Approach"). Adjusted figures show 5.60$ of the skiers claim member 
 ship. Separate tabulation shows USEASA members report skiing an average c 
 23.5 days annually while all skiers report skiing 12.7 days annually. 
 
 d. Step four: A weighted average membership in the USEASA was computed bj 
 weighing recorded membership by percent of the sample collected during the 
 period. (See appendix for details.) Weighted average 1962-63 membership 
 in the USEASA was 25,063. 
 
 e. Step five: If 5.60$ of the total market belongs to the USEASA, and if 
 the weighted average membership of USEASA is 25,063, then the total market 
 size is 447,570. 
 
 2) Errors 
 
 a. Statistical: There is a 95$ probability that the true market size is 
 between 423,000 skiers and 475,000 skiers. 
 
 b. Non-sampling: The statistical accuracy of the above computation assume 
 that all data is correct. This is not so, as there are non-statistical 
 errors which introduce a bias. As the study progressed, certain membershj 
 data was checked by verifying names collected in the field through the 
 USEASA office file. In addition, skiers participating in Phase II of the 
 research were again asked for USEASA membership and these responses were 
 checked against the original replies, and the files. 
 
 Of the 2,057 claiming USEASA membership, during the field interview, 
 410 names were recorded. 284 were verified. 24 were determined incorred 
 when membership later was denied on the mail questionnaire and the name 
 
could not be found in the USEASA files. In addition 102 non-verified names 
 are in question. Finally 12 additional skiers not recorded as members dur- 
 ing the field interview, claimed membership on the questionnaires and were 
 verified as belonging prior to the date they were field interviewed. 
 
 No statistical measure of this error would be meaningful since the 126 
 non-verified names were from a sample of 410 while the 12 offsetting gains 
 were from a sample of 121 members returning the questionnaire. At best it 
 can be said that response error to the USEASA membership question most pro- 
 bably has the effect of understating the total market by providing a higher 
 than actual sample percentage membership. 
 
 Selection biases must also be recognized. The harder skier, the one 
 skiing faster and taking fewer breaks had a greater chance for selection 
 since he/she appeared in the line more often. This skier is more likely 
 to be a USEASA member and as such will bias the total market estimate by 
 understating size. 
 
 c Errors, Summary: Responses and selection errors overshadow statistical 
 errors. These non-sampling errors have the effect of overstating the per- 
 centage membership, thus understating the market size. 
 
 Size Check 
 
 Size data was checked by an alternate method. All 19,903 interviewed 
 ts were asked, " Do you subscribe to 'SKI' magazine ?" and " Do you subscribe 
 SKIING* magazine ?" Interviewers were instructed to record only skiers who 
 
 current subscriptions in their names. 
 
 The results were rather inconclusive due to the difficulty in communicating 
 exact meaning of the question. For instance, a large number of children 
 ered "YES" to the subscription question and it is not logical to assume that 
 
 held subscriptions in their name . Also, many families may have subscriptions 
 ither the male or female name or a family name and duplication can occur, 
 her, no checks on the accuracy of responses were made. Therefore, the research- 
 s not certain whether data gathered represents just subscribers or readers also, 
 act it may represent some of both groups depending upon the ability of individual 
 rvi ewers to communicate. 
 
 The following analysis is presented as a check on the reasonableness of the 
 findings as computed by USEASA membership percentage. 
 
 Check using "SKI" subscription data: 
 
 Figures are shown using two assumptions and represent logical upper and 
 lower limits to the size of the skier market. 
 
 Assumption 1 - All "YES" respondents are current subscribers to "SKI" 
 magazine. 
 
 Findings - Subscribers are 22.8% of total market. Total market is 
 252,000 skiers. 
 
6 
 
 Assumption 2 - All "YES" respondents are current readers of "SKI" 
 magazine. 
 
 Findings - Readers are 12.8% of total market. Using readership per 
 subscription data, subscribers are 6.1$ of total market. Total 
 market is 528,000 skiers. 
 
 Technical note: 
 
 The above figures were developed as follows: 
 
 Assumption 1 - All "YES" respondents are subscribers . 
 
 Step 1) All data was unweighted to convert skier-days to skiers 
 (See method under "Approach") 
 
 Step 2) Canadian data was subtracted since no subscription breal 
 down in Canada was available. 
 
 Step 3) Adjusted figures show 12.8$ of the skiers claimed to ho! 
 subscriptions. Separate tabulation shows these skiers report sk 
 ing an average of 22.3 days annually as compared to the overall 
 market average of 12.7 days annually. 
 
 Step 4) Average winter subscription circulation of "SKT'* °ver 
 the described market area was 32,205. 
 
 Step 5) Thus, if 12.8$ of the market is 32,205, then the total 
 Northeast U. S. market is 251,585. 
 
 Assumption 2 - All "YES" respondents are readers . 
 
 The first four steps are the same. 
 
 Step 5) Of 16,655 interviewed skiers 12.8$ reported reading "SK 
 12.8$ is 2,130 readers. 
 
 Step 6) Data was adjusted using figures obtained from a recent 
 survey conducted by "SKI" magazine** which shows 82.6$ of the 
 subscriptions were sent to households with an average of 2.7 
 skiers per household. Only 17.4$ went to one skier residences. 
 
 Step 7) The 2,130 readers, as computed, were adjusted to 1,023 
 subscribers as follows: 
 
 17.4$ of 2,130 = 371 
 (82.6$ of 2,130) + 2.7 = 652 
 
 1,023 
 
 Step 8) 1,023 subscribers is 6.1$ of 16,655 interviewed skiers, 
 *2 ABC Audit Data for November 1962 edition, adjusted percentagewise 
 for February 1 and April 1 circulation. 
 
 **3 "An Independent Reader Study of 'SKI' Magazine's Audience" 
 by Dr. Kenneth Davis, Marketing Consultant. P. 8 
 
Step 9) Thus, if 6.1$ of the market is 32,205, then the total 
 Northeast U. S. market is 527,951. 
 
 Check using "SKIING" subscription data: 
 
 A similar check was made assuming that all skiers answering "YES" to 
 the subscription question for "SKIING" magazine were in fact subscribers. 
 
 Findings - Subscribers are 4.4$ of the total market. Total market 
 is 325,000 skiers. 
 
 Technical note: 
 
 Step 1) All data was unweighted. 
 
 Step 2) Canadian data was subtracted. 
 
 Step 3) Adjusted figures show 4.36$ of skiers claimed to hold subscrip- 
 tions. Separate tabulation shows these skiers report skiing 22.6 days 
 annually. 
 
 Step 4) Average winter subscription circulation of "SKIING"* over the 
 described market area was 14,758. 
 
 Step 5) Thus, if 4.36$ of the market is 14,758, then the total North- 
 east U. S. market is 324,676. 
 
 Summary - Size Checks: 
 
 Market size for the Northeast U. S. market only is calculated at 386,288. 
 (See appendix for details.) Size checks from subscription data thus show: 
 
 NEUS Skier Market 
 
 1) As determined by percent of USEASA 386,000 
 
 2) As determined by percent of "SKI" subscribers 252,000 
 
 3) As determined by percent of "SKI" readers 528,000 
 
 4) As determined by percent of "SKIING" subscribers 325,000 
 
 itors note: The skier market size described in this section and in the 
 pendix does not include all persons who have ever skied or even those who 
 :ied during 1962. It includes only those skiers who skied often enough 
 d hard enough to have significant commercial worth during 1962. 
 
 ABC Audit Data for November 1962 edition, adjusted percentagewise 
 for February 1 and April 1 circulation. 
 
B 
 
 NEW SKIERS 
 
 "What year did you first take up skiing ?" 
 
 19. 5# of the 1962-63 skier market, or some 87,000 skiers were skiing for 
 the first time. 
 
 59.6$ of the 1962-63 skier market, or some 267,000 skiers have been skiing 
 less than five seasons. 
 
 YEAR SKIERS FIRST SKIED - 1962-63 SKIER MARKET 
 
 n 
 
 n 
 
 n 
 
 -- 15% 
 
 20% 
 
 __ 10# 
 
 % 
 
 1% 
 
 Before 
 1941 
 
 1945 
 
 1950 
 
 1955 
 
 I960 1963 
 
 (The above chart shows the 1962-63 skier market in terms of seasons skied. 
 The data can not be considered net growth since no measure has been made of the 
 number of former skiers ceasing to participate.) 
 
EW SKIERS BY AGE GROUPS: 
 
 Analysis of two age groups shows skiing attracting persons beyond the 
 ypical learning age. 
 
 56.0$ of the 31-40 age group did not begin to ski until after they were 
 years old. 
 
 36. 1# took up the sport after they passed 25 years of age. 
 
 40.9$ of the 23-30 age group have started skiing after age 20. 
 
 A sub-sample of 202 skiers, between 31 and 40 years of age, responding 
 the mail questionnaire, brought the following results for year skier first 
 d.ed. 
 
 YEAR SKIER FIRST SKIED - 1962-63 SKIERS: AGE 31 - 40 
 
 Before 
 1941 
 
 1945 
 
 1950 
 
 1955 
 
 15* 
 
 10# 
 
 5% 
 
 1% 
 
 1960 1963 
 
1C 
 
 A sub-sample of 220 skiers between 23 and 30 years of age, responding to 
 the mail questionnaire, showed the following tendencies. 
 
 YEAR SKIER FIRST SKIED - 1962-63 SKIERS: AGE 23 - 30 
 
 XI 
 
 n 
 
 JQ. 
 
 "15% 
 
 — 10£ 
 
 5% 
 
 1% 
 
 Before 
 
 19a 
 
 1945 
 
 1950 
 
 1955 I960 1963 
 
11 
 
 GROWTH TREND 
 
 Growth in demand for ski facilities is a combination of change in number 
 >f skiers plus change in their annual rate of participation. Since this study 
 .s the first consumer survey designed to provide a representative measure of 
 11 skiers in the geographic region of Northeast North America there are no 
 •eliable past measures of size and participation in the sport upon which to 
 •ase change. Thus it is impossible to provide a definite percentage figure 
 'or growth. The one element which is economically immeasurable during a one 
 eason time span is the number of skiers who have ceased to participate and 
 he year they last skied. 
 
 The method employed in this study to obtain some measure of growth trend 
 onsisted of recording the year each interviewed skier first began to ski. 
 he results are shown graphically below. 
 
 Year skier first began to ski 
 (Cumulative totals) 
 
 100£ 
 
 15% 
 
 Before 
 1941 
 
 1946 
 
 1952 
 
 - 50% 
 
 25% 
 
 1958 
 
 T 
 
 1963 
 
12 
 
 The use of this result as a measure of growth assumes that all skiers 
 who have participated during the 23 year time period are still skiing. Since 
 this assumption is obviously not valid, the growth rate indicated is over- 
 stated by the amount and rate of dropouts. 
 
 CEILING GROWTH RATE ; 
 
 Findings of this study show that over the past 23 years the number of 
 skiers comprising the skier market in Northeast North America have grown at 
 some rate not in excess of 10. 7$ annually. 
 
 While not a measure of net growth in skiers, the findings do provide an 
 upper limit to the rate. Since the graphic display indicates an increase at 
 an increasing rate, the data has been transferred and plotted on a semi- 
 logarithmic scale below. The trend line for the complete data shows a ceiling 
 growth rate of 10.1% annually. Over the past eleven years this ceiling has 
 increased to 16.7$ annually. 
 
 Year skier first began to ski. (Cumulative totals) 
 
 Percent of 
 
 adjusted 
 
 sample 
 
 90 
 
 Tear 
 
 19U 
 
 1950 
 
 I960 
 
 The reader is cautioned against using this rate without proper interpre- 
 tation. No measure of skiers ceasing to participate has been inco fP^ a ^ 
 thus the true growth rate in number of skiers is definitely lower than that 
 shown above. 
 
13 
 
 CHANGE IN PARTICIPATION RATE: 
 
 1961-62 
 
 1962-63 
 
 1.9 
 
 2.4 
 
 8.7 
 
 11.1 
 
 Participation rate, the second factor in "growth" is somewhat easier to 
 leasure, but again must be considered inconclusive over a one season time span. 
 Respondents were asked to record the number of days of vacation skiing and week- 
 ;nd and holiday skiing they obtained for each of the past two seasons. Beyond 
 ,hat answers would be purely guesswork. In addition, frequency of participation 
 rould show a variance due to weather. This study indicates an increase in the 
 lean number of days spent skiing, both on vacation and during weekend and Holiday 
 Lays, over the past two seasons. 
 
 Average (mean) number of VACATION 
 days of skiing per skier 
 
 Average (mean) number of WEEKEND & 
 HOLIDAY days of skiing per skier 
 
 It must be noted that the winter of 1962-63 was the best season weather- 
 dse that the industry has experienced in about 10 years. 
 
 The rate of participation for mid-week, non- vacation skiing was: 
 Obtained only for 1962-63) 
 
 Days Annually 
 
 For mid-week skiers only 13.5 
 
 Average (mean) for all skiers 4.5 
 
 Data was collected as average days/month and converted into annual data by 
 ultiplying by 3.) 
 
 It is obvious from the growth in numbers and capacity of ski facilities, 
 oupled with the fact that very few have failed, that demand is growing. "THE 
 KIER MARKET - NORTHEAST NORTH AMERICA" provides the basis for further measure- 
 ent and places a ceiling on the overall rate of growth of skiers in the region. 
 
14 
 
 D 
 
 GEOGRAPHIC DISTRIBUTION 
 
 The following pages show the 1962-63 skier market in terms of total and 
 regional distribution. Data is summarized into two separate geographic divisions, 
 
 1) Data by skier residence: 
 
 Page 15 contains the key map broken into regions where skiers reside and 
 identifies the 15 geographic skier source regions used. 
 
 2) Data by skier destination: 
 
 Page 31 contains the key map broken into regions where skiers participate 
 and identifies the 11 geographic skier destinations used. These divisions 
 correspond exactly with the detailed breakdown of ski areas by capacity as 
 listed in the appendix, Table I. 
 
 Data is summarized in terms of skiers and/or skier-days. For instance, 
 the below figures show that Maine contains 2.84$ of the skiers, but these skiers 
 account for k-0% of the skier-days. 
 
 Skier Market Source Regions: 
 
 Number Region 
 
 1 Maine 
 
 2 Hew Hampshire 
 
 3 Vermont 
 
 4 Eastern Mass. & Rhode Island 
 
 5 Western Massachusetts 
 
 6 Connecticut 
 
 7 N.Y. - Adirondack District 
 
 8 N.Y. - Capitol District 
 
 9 N.Y. - S.E., NYC & Long Island 
 
 10 N.Y. - Western District 
 
 Total New York 
 
 11 New Jersey & East. Perm. 
 
 12 Western Pennsylvania 
 
 13 Quebec, CANADA 
 
 14 Outside NENA - West 
 
 15 Outside NENA - South 
 
 Approximate 
 
 Percent of 
 
 Percent of 
 
 Ski Population 
 
 Skiers 
 
 Skier-days 
 Accounted for 
 
 12,700 
 
 2.34$ 
 
 4.0$ 
 
 19,800 
 
 4.43 
 
 6.0 
 
 13,400 
 
 2.99 
 
 5.4 
 
 77,800 
 
 17.38 
 
 15.5 
 
 16,000 
 
 3.58 
 
 4.5 
 
 52,100 
 
 11.64 
 
 9.6 
 
 9,800 
 
 -2.18 
 
 2.7 
 
 17,100 
 
 ^-3.82 
 
 3.8 
 
 I 79,100 
 
 -i7.67 
 
 13.2 
 
 28,300 
 
 -6.33 
 
 7.9 
 
 134,300 
 
 30.00 
 
 27.6 
 
 33,200 
 
 7.42 
 
 5.7 
 
 13,700 
 
 3.05 
 
 2.7 
 
 49,900 
 
 11.14 
 
 14.7 
 
 14,900 
 
 3.33 
 
 3.0 
 
 9,800 
 
 2.19 
 
 1.3 
 
15 
 
 15 
 
16 
 
 Regional skier market source: 
 
 <D 
 N 
 
 •H 
 
 <fi 
 
 ID 
 
 to 
 
 I 
 
 (69) 
 (43) 
 (23) 
 (69) 
 
 1- MAINE 
 
 Percent of total Northeast North America skier market 
 
 Approximate size of Regional skier market: 
 
 Skiers who reside in Maine report: 
 
 Average number of days of skiing annually: 
 
 Average (mean) expenditure per skier day: 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 Percent 
 30* 
 
 2.84)2 
 
 12,700 
 
 19.1 Days 
 $ 12.21 
 $ 7,100 
 
 n n 
 
 n 
 
 Before 
 1953 
 
 195V I960 
 (YEAR) 
 
 Generated some 2li3>000 skier days, 
 Distributed as follows: 
 
 # 
 
 Destination 
 
 Sample 
 
 % 
 
 D 
 C 
 B 
 K 
 
 Maine 
 
 New Hampshire 
 
 South Vermont 
 
 Quebec 
 
 59 
 7 
 2 
 2 
 
 84. 4# 
 
 10.0 
 
 2.8 
 
 2.8 
 
 
 70 
 
 100. 0# 
 
Regional skier market source: 
 
 17 
 
 2- NEW HAMPSHIRE 
 
 32) 
 
 !*) 
 
 26) 
 
 32) 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of Regional skier market: 
 
 Skiers who reside in New Hampshire report: 
 
 Average number of days of skiing annually: 
 
 Average (mean) expenditure per skier-day: 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 Percent 
 
 k0% 
 
 k.U3% 
 
 19,800 
 
 1S.1 Days 
 $ 15.00 
 $ 7,400 
 
 £L 
 
 nn[in 
 
 30; 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 359,000 skier-days, 
 Distributed as follows: 
 
 # 
 
 Destination 
 
 Sample 
 
 % 
 
 c 
 
 New Hampshire 
 
 78 
 
 76. 4$ 
 
 A 
 
 North Vermont 
 
 14 
 
 13.7 
 
 B 
 
 South Vermont 
 
 6 
 
 5.9 
 
 K 
 
 Quebec 
 
 2 
 
 2.0 
 
 D 
 
 Maine 
 
 1 
 
 1.0 
 
 F 
 
 Berkshires 
 
 1 
 
 1.0 
 
 
 102 
 
 100. 0$ 
 
18 
 
 Regional skier market source: 
 
 CD 
 
 u 
 
 •H 
 CO 
 
 G> 
 rH 
 
 | 
 
 (92) 
 (45) 
 (25) 
 (92) 
 
 3- VERMONT 
 
 Percent of total Northeast North America skier market; 
 
 Approximate size of Regional skier market: 
 
 Skiers who reside in Vermont report: 
 
 Average number of days of skiing annually: 
 
 Average (mean) expenditure per skier-day: 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 Percent 
 3<# 
 
 2.99$ 
 13,400 
 
 24.2 Days 
 $ 9.39 
 $ 5,000 
 
 nn 
 
 a 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Generated some 324,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 Sample 
 
 % 
 
 A North Vermont 
 B South Vermont 
 C New Hampshire 
 D Maine 
 F Berkshire s 
 
 71 
 18 
 
 1 
 1 
 1 
 
 71.1% 
 
 19.6 
 
 1.1 
 
 1.1 
 
 1.1 
 
 
 92 
 
 100.0$ 
 
19 
 
 Regional skier market source: 
 
 4- EASTERN MASSACHUSETTS & RHODE ISLAND 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: 
 
 Skiers who reside in East. Mass. & R. I. report: 
 
 Average number of days of skiing annually:. 
 
 Average (mean) expenditure per skier-day: 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 17.3S?; 
 77,800 
 
 12.0 Days 
 $ 18.42 
 $ 9,900 
 
 Percent 
 
 OH 
 
 30? 
 
 2G% 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 934,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 Sample 
 
 % 
 
 C New Hampshire 
 
 145 
 
 55.0% 
 
 B South Vermont 
 
 37 
 
 14.0 
 
 A North Vermont 
 
 35 
 
 13.3 
 
 D Maine 
 
 16 
 
 6.1 
 
 E East. Mass.&RI 
 
 15 
 
 5.7 
 
 F Berkshires 
 
 13 
 
 4.9 
 
 K Quebec 
 
 2 
 
 .7 
 
 I West. N.Y. 
 
 1 
 
 .3 
 
 
 264 
 
 100.0$ 
 
20 
 
 Regional skier market source: 
 
 Qj 
 N 
 •H 
 CO 
 
 CD 
 H 
 
 m 
 
 i 
 
 -§ 
 
 CO 
 
 (77) 
 (33) 
 (20) 
 
 (77) 
 
 5- WESTERN MASSACHUSETTS 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: , 
 
 Skiers who reside in Western Massachusetts report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: , 
 
 Year during which they first began to ski: 
 
 Percent 
 
 3.58% 
 
 16,000 
 
 16. 9 Days 
 $ 16.52 
 
 $11,600 
 
 □ q 
 
 H 
 
 20$ 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 271,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 Sample 
 
 % 
 
 F Berkshires 
 B South Vennont 
 C New Hampshire 
 A North Vennont 
 E E. Mass. & RI 
 K Quebec 
 
 41 
 21 
 9 
 3 
 2 
 1 
 
 53. 2# 
 
 27.3 
 
 11.7 
 
 3.9 
 
 2.6 
 
 1.3 
 
 
 77 
 
 100.0$ 
 
21 
 
 Regional skier market source: 
 
 6- CONNECTICUT 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of Regional skier market: , 
 
 Skiers who reside in Connecticut report: 
 
 Average number of days of skiing annually: 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 JQ. 
 
 XJL 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 578,000 skier-days, 
 Distributed as follows: 
 
 # 
 
 Destination 
 
 Sample 
 
 % 
 
 F 
 
 Berkshires 
 
 56 
 
 3kM 
 
 B 
 
 South Vermont 
 
 52 
 
 32.2 
 
 A 
 
 North Vermont 
 
 39 
 
 24.1 
 
 C 
 
 New Hampshire 
 
 6 
 
 3.7 
 
 D 
 
 Maine 
 
 3 
 
 1.8 
 
 G 
 
 Cat skills ; Poco. 
 
 3 
 
 1.8 
 
 H 
 
 Adirondacks 
 
 1 
 
 .6 
 
 J 
 
 W.Pa.&W.Va. 
 
 1 
 
 .6 
 
 K 
 
 Quebec 
 
 1 
 
 .6 
 
 
 162 
 
 100.0$ 
 
 11.64;? 
 
 52,100 
 
 11.1 Days 
 $ 20.35 
 $ 9,200 
 
22 
 
 Regional skier market source: 
 
 0) 
 N 
 •H 
 
 en 
 
 <D 
 H 
 
 a 
 
 CO 
 
 I 
 
 (46) 
 (29) 
 
 (46) 
 
 7- NEW YORK - ADIRONDACK 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: 
 
 Skiers who reside in The Adirondack Region report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: 
 
 A median income level of: (Sample too small) 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 2.18% 
 
 9,800 
 
 16.6 Days 
 $ 11.90 
 
 nn n n 
 
 n 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 162,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 Sample 
 
 % 
 
 H Adirondacks 
 F Berkshires 
 B South Vermont 
 G Cat skills; Poco. 
 A North Vermont 
 
 32 
 
 8 
 
 3 
 2 
 
 1 
 
 69.5 
 
 17.4 
 
 6.5 
 
 4.4 
 
 2.2 
 
 
 46 
 
 100. 0# 
 
23 
 
 Regional skier market source: 
 
 8- NEW YORK - CAPITOL 
 
 Percent of total Northeast North America skier market: , 
 
 Approximate size of regional skier market: , 
 
 Skiers who reside in The New York Capitol Region report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: , 
 
 a median income level (except students) of: , 
 
 Year during which they first began to ski: 
 
 Percent 
 
 30^ 
 
 20$ 
 
 3 . 82$ 
 17,100 
 
 13.6 Days 
 $ IS. 90 
 $ 5,300 
 
 PI 
 
 
 r 
 
 
 i 
 
 
 
 
 
 i 
 
 
 n r-i n ra 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Generated some 233,000 skier-days 
 Distributed as follows: 
 
 f Destination 
 
 Sample 
 
 % 
 
 | Berkshires 
 
 27 
 
 40.9$ 
 
 B South Vermont 
 
 25 
 
 37.9 
 
 A North Vermont 
 
 10 
 
 15.2 
 
 1 Adirondacks 
 
 2 
 
 3.0 
 
 G Cat skills j Poco. 
 
 1 
 
 1.5 
 
 I West. N.Y. 
 
 1 
 
 1.5 
 
 
 66 
 
 100.0$ 
 
24 
 
 Regional skier market source: 
 
 N 
 •H 
 W 
 
 V 
 H 
 
 
 (224) 
 (108) 
 ( 90) 
 (224) 
 
 9- NEW YORK - SOUTHEAST, N.Y.C. & LONG ISLAND 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market : 
 
 Skiers who reside in Downstate New York report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 Percent 
 30$ 
 
 17.67£ 
 79,100 
 
 10.0 Days 
 24.17 
 $ 8,600 
 
 nnn 
 
 nil 
 
 n- - 10# 
 
 Before 
 1953 
 
 1957 I960 1963 
 (YEAR) 
 
 20$ 
 
 Generated some 791,000 skier-days 
 Distributed as follows: 
 
 # 
 
 Destination 
 
 Sample 
 
 % 
 
 B 
 
 South Vermont 
 
 88 
 
 39. 0# 
 
 G 
 
 Cat skills ; Poco. 
 
 54 
 
 23.9 
 
 A 
 
 North Vermont 
 
 42 
 
 18.6 
 
 F 
 
 Berkshires 
 
 23 
 
 10.2 
 
 H 
 
 Adirondacks 
 
 6 
 
 2.7 
 
 C 
 
 New Hampshire 
 
 5 
 
 2.2 
 
 K 
 
 Quebec 
 
 5 
 
 2.2 
 
 I 
 
 West. N.Y. 
 
 2 
 
 .8 
 
 D 
 
 Maine 
 
 1 
 
 .4 
 
 
 226 
 
 100. 0# 
 
25 
 
 Regional skier market source: 
 
 10- NEW YORK - WESTERN 
 
 Percent of total Northeast North America skier market 
 
 Approximate size of regional skier market: 
 
 Skiers who reside in Western New York report: 
 
 Average number of days of skiing annually: 
 
 Average (mean) expenditure per skier-day: 
 
 A median income level (except students) of: 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 6.33$ 
 28,300 
 
 16.7 Days 
 $ 18.46 
 $10,200 
 
 n II n 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 473,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 Sample 
 
 % 
 
 I West. N.Y. 
 B South Vermont 
 H Adirondacks 
 G Cat skills ;Poco. 
 A North Vermont 
 F Berkshires 
 
 100 
 
 11 
 
 10 
 
 5 
 
 4 
 
 4 
 
 8.2 
 7.5 
 3.7 
 3.0 
 3.0 
 
 
 134 
 
 100. 0$ 
 
26 
 
 Regional skier market source: 
 
 CD 
 N 
 •H 
 01 
 
 <D 
 
 H 
 
 10 
 
 I 
 
 (97) 
 (50) 
 (42) 
 (96) 
 
 11- NEW JERSEY & EASTERN PENNSYLVANIA 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: 
 
 Skiers who reside in New Jersey & East. Perm, report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: , 
 
 Year during which they first began to ski: 
 
 Percent 
 30£ 
 
 20% 
 
 l.k2% 
 33,200 
 
 10.3 Days 
 $ 25-80 
 $ 9,800 
 
 
 -1 
 
 r-i 
 
 
 ___g____ 
 
 -t n n n n p - 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Generated some 342,000 skier-days, 
 Distributed as follows: 
 
 # 
 
 Destination 
 
 Sample 
 
 % 
 
 A 
 
 North Vermont 
 
 41 
 
 42. 3£ 
 
 B 
 
 South Vermont 
 
 28 
 
 28.9 
 
 G 
 
 Cat skills ;Poco. 
 
 19 
 
 19.6 
 
 C 
 
 New Hampshire 
 
 4 
 
 4.1 
 
 K 
 
 Quebec 
 
 3 
 
 3.1 
 
 F 
 
 Berkshires 
 
 1 
 
 1.0 
 
 H 
 
 Adirondacks 
 
 1 
 
 1.0 
 
 
 97 
 
 100. 0# 
 
Regional skier market source: 
 
 27 
 
 12- WESTERN PENNSYLVANIA 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: 
 
 Skiers who reside in Western Pennsylvania report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: , 
 
 Year during which they first began to ski: 
 
 Percent 
 k0% 
 
 3.05% 
 13,700 
 
 12.1 Days 
 
 $ 17.76 
 
 $ 8,400 
 
 -Q. 
 
 30^ 
 
 20$ 
 
 ri n ijiinn, , 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Generated some 165,000 skier-days, 
 Distributed as follows: 
 
 Destination 
 
 Sample 
 
 % 
 
 W. Pa. & W. Va. 
 
 32 
 
 68. 1# 
 
 West. N.Y. 
 
 5 
 
 10.6 
 
 Cat skills ; Po co . 
 
 3 
 
 6.4 
 
 North Vermont 
 
 2 
 
 4.3 
 
 Berkshires 
 
 2 
 
 4.3 
 
 South Vermont 
 
 1 
 
 2.1 
 
 Adirondack 
 
 1 
 
 2.1 
 
 Quebec 
 
 1 
 
 2.1 
 
 
 47 
 
 100. 0# 
 
28 
 
 Regional skier market source: 
 
 (X 
 
 to 
 I 
 
 CO 
 
 (250) 
 (100) 
 
 ( 63) 
 (250) 
 
 13- QUEBEC, CANADA 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: , 
 
 Skiers who reside in Quebec report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: , 
 
 11.14$ 
 
 49,900 
 
 17.7 Days 
 $ 13.80 
 $ 7,400 
 
 Year during which they first began to ski: 
 
 Percent 
 
 30^ 
 
 _ 
 
 
 
 
 
 r-1 
 
 
 
 r .EL~,- 
 
 -t n n n n D . 
 
 Before 1957 I960 1963 
 1953 (YEA£) 
 
 Generated some 883,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 Sample 
 
 % 
 
 K Quebec 
 
 A North Vermont 
 
 D Maine 
 
 H Adirondacks 
 
 237 
 8 
 
 4 
 1 
 
 94. 8# 
 3.2 
 1.6 
 .4 
 
 
 250 
 
 100. 0# 
 
29 
 
 Regional skier market source: 
 
 14- OUTSIDE - NENA - WEST 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: , 
 
 Skiers who reside in Western U.S. & Canada report: 
 
 Average number of days of skiing annually: , 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: , 
 
 333% 
 
 14,900 
 
 12.0 Days 
 $ 17.07 
 $ 4,800 
 
 Year during which they first began to ski: 
 
 Percent 
 
 1nnn ? R 
 
 30g 
 
 20$ 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Generated some 179,000 
 Distributed as follows 
 
 Destination 
 
 Sample 
 
 % 
 
 West. N.Y. 
 
 15 
 
 29. k% 
 
 Quebec 
 
 15 
 
 29.4 
 
 North Vermont 
 
 6 
 
 11.8 
 
 W.Pa. & Va. 
 
 5 
 
 9.8 
 
 South Vermont 
 
 4 
 
 7.8 
 
 Adirondacks 
 
 3 
 
 5.8 
 
 New Hampshire 
 
 1 
 
 2.0 
 
 Berkshires 
 
 1 
 
 2.0 
 
 CatskillsjPoco. 
 
 1 
 
 2.0 
 
 
 51 
 
 100. 0# 
 
30 
 
 Regional skier market source: 
 
 e< 
 
 CO 
 
 i 
 
 (23) 
 (13) 
 (14) 
 (23) 
 
 15- OUTSIDE - NENA - SOUTH 
 
 Percent of total Northeast North America skier market: 
 
 Approximate size of regional skier market: 
 
 Skiers who reside in The Southern United States report: 
 
 Average number of days of skiing annually: 
 
 Average (mean) expenditure per skier-day: , 
 
 A median income level (except students) of: , 
 
 Year during which they first began to ski: 
 
 Percent 
 
 2.19$ 
 
 9,800 
 
 8.3 Days 
 $ 26.54 
 $12,600 
 
 
 T 
 
 
 i 
 
 
 
 
 
 - 
 
 
 n 
 
 I 
 
 n 
 
 1 ' 
 
 - 20# 
 
 Before 1957 I960 19 63 
 1953 (YEAR) 
 
 Generated some 81,000 skier-days, 
 Distributed as follows: 
 
 # Destination 
 
 J W.Pa. & W.Va. 
 
 B South Vermont 
 
 A North Vermont 
 
 K Quebec 
 
 F Berkshires 
 
 G Cat skills j Poco. 
 
31 
 
 Regional skier market destination: 
 
 A- Northern Vermont 
 
 B- Southern Vermont 
 
 C- New Hampshire 
 
 D- Maine 
 
 E- Eastern Mass. & R. I. 
 
 F- Berkshires 
 
 G- Catskills & Poconos 
 
 H- Adirondacks 
 
 I- Central & Western New York 
 
 J- Western Penn. , West Virginia & Maryland 
 
 K- Quebec 
 
32 
 
 
 
 N 
 ■H 
 
 CO 
 
 CD 
 H 
 
 9< 
 
 i 
 
 Regional skier market destination: 
 
 A- NORTHERN VERMONT 
 
 (3464) 
 ( 155) 
 ( 112) 
 (3463) 
 
 Northern Vermont contains 17.0$ of the total skier capacity in NENA. 
 
 Skiers interviewed while skiing in Northern Vermont report: 
 
 Average number of days of skiing annually: 14.8 Days 
 
 Average (mean) expenditure per skier-day: $ 18.42 
 
 A median income level (except students) of: $ 8,900 
 
 Tear during which they first began to ski: 
 
 Before 1957 I960 1963 
 1953 (TEAR) 
 
 Skier-days spent in Northern Vermont 
 were by residents of: 
 
 # 
 
 Market 
 
 Sample 
 
 % 
 
 3 
 
 Vermont 
 
 71 
 
 25. 6# 
 
 9 
 
 NT-SE & NTC 
 
 42 
 
 15.1 
 
 11 
 
 NJ & E. Penn. 
 
 41 
 
 14.8 
 
 6 
 
 Connecticut 
 
 39 
 
 14.0 
 
 4 
 
 E. Mass. & HI 
 
 35 
 
 12.6 
 
 2 
 
 New Hampshire 
 
 14 
 
 5.0 
 
 8 
 
 NT- Capitol 
 
 10 
 
 3.6 
 
 13 
 
 Quebec 
 
 8 
 
 2.9 
 
 14 
 
 Out NENA-West. 
 
 6 
 
 2.2 
 
 10 
 
 NT- West. 
 
 4 
 
 1.4 
 
 5 
 
 West. Mass. 
 
 3 
 
 1.1 
 
 12 
 
 West. Penn. 
 
 2 
 
 .7 
 
 15 
 
 Out NENA-South 
 
 2 
 
 .7 
 
 7 
 
 NT- Adirondack 
 
 1 
 
 .3 
 
 
 278 
 
 100. 0# 
 
33 
 
 N 
 •H 
 CO 
 
 <L> 
 
 H 
 
 ft, 
 
 Regional skier market destination: 
 
 B- SOUTHERN VERMONT 
 
 283) 
 148) 
 121) 
 283) 
 
 Southern Vermont contains 9.6$ of the total skier capacity in NENA. 
 
 Skiers interviewed while skiing in Southern Vermont report: 
 
 Average number of days of skiing annually: U.l Cays 
 
 Average (mean) expenditure per skier-day: $ 23.30 
 
 A median income level (except students) of: $ 9,100 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 -I 20# 
 
 1— 1 
 
 n n 
 
 -i ri 
 
 nnnnfl 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Skier-days spent in Southern Vermont 
 were by residents of: 
 
 ' Market 
 
 Sample 
 
 % 
 
 NY - SE & NYC 
 
 88 
 
 29.2 
 
 Connecticut 
 
 52 
 
 17.3 
 
 E. Mass. & RI 
 
 37 
 
 12.3 
 
 NJ & E. Perm. 
 
 28 
 
 9.3 
 
 NY - Capitol 
 
 25 
 
 8.3 
 
 West. Mass, 
 
 21 
 
 7.0 
 
 Vermont 
 
 18 
 
 6.0 
 
 NY - West. 
 
 11 
 
 3.6 
 
 New Hampshire 
 
 6 
 
 2.0 
 
 Out NENA-South 
 
 5 
 
 1.7 
 
 Out NENA-West 
 
 4 
 
 1.3 
 
 NY- Adirondack 
 
 3 
 
 1.0 
 
 Maine 
 
 2 
 
 .7 
 
 West. Perm. 
 
 1 
 
 .3 
 
 
 301 
 
 100. 0£ 
 
34 
 
 tSJ 
 
 •H 
 W 
 
 <D 
 
 ra 
 
 i 
 
 Regional skier market destination: 
 
 C- NEW HAMPSHIRE 
 
 (2879) 
 ( U2) 
 ( 104) 
 (2879) 
 
 New Hampshire contains 12. 7# of the total skier capacity in NENA. 
 Skiers interviewed while skiing in New Hampshire report: 
 
 Average number of days of skiing annually: 12.7 Days 
 
 Average (mean) expenditure per skier-day: $ 18.10 
 
 A median income level (except students) of: $ 9*300 
 
 Tear during which they first began to ski: 
 
 Percent 
 30£ 
 
 20# 
 
 r-i 
 
 r-| 
 
 n n i—i 
 
 . T nnnnfl— . T . — T . 
 
 Before 1957 I960 1963 
 1953 (TEAR) 
 
 Skier-days spent in New Hampshire 
 were by residents of: 
 
 # 
 
 Market 
 
 Sample 
 
 or 
 
 JO 
 
 4 
 
 E. Mass. & RI 
 
 145 
 
 56. 6£ 
 
 2 
 
 New Hampshire 
 
 78 
 
 30.5 
 
 5 
 
 West. Mass. 
 
 9 
 
 3.5 
 
 1 
 
 Maine , 
 
 7 
 
 2.7 
 
 6 
 
 Connecticut 
 
 6 
 
 2.3 
 
 9 
 
 S.E. NT & NTC 
 
 5 
 
 2.0 
 
 11 
 
 NJ & E. Penn. 
 
 4 
 
 1.6 
 
 3 
 
 Vermont 
 
 1 
 
 .4 
 
 14 
 
 Out NENA-West. 
 
 1 
 
 .4 
 
 
 256 
 
 100. 0# 
 
35 
 
 0> 
 N 
 
 CO 
 
 <D 
 H 
 
 0} 
 
 i 
 
 Regional skier market destination: 
 
 D- MAINE 
 
 [1011) 
 : 51 ) 
 
 : 29 ) 
 
 ,'ion) 
 
 Maine contains 5.1+% of the total skier capacity in NENA. 
 Skiers interviewed while skiing in Maine report: 
 
 Average number of days of skiing annually: I7.5 Days 
 
 Average (mean) expenditure per skier-day: $ 13.43 
 
 A median income level (except students) of: $ 5,700 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 20# 
 
 PI 
 
 r-l 
 
 1 — 1 . 1 
 
 ... n n n 1 [1 
 
 - - 10# 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Skier-days spent in Maine 
 were by residents of: 
 
 Market 
 
 Sample 
 
 % 
 
 Maine 
 
 16 
 
 69. 4# 
 
 E. Mass. & RI 
 
 16 
 
 18.8 
 
 Quebec 
 
 4 
 
 4.7 
 
 Connecticut 
 
 3 
 
 3.5 
 
 New Hampshire 
 
 1 
 
 1.2 
 
 Vermont 
 
 1 
 
 1.2 
 
 NY - SE & NYC 
 
 1 
 
 1.2 
 
 
 85 
 
 100. 0# 
 
36 
 
 CD 
 N 
 •H 
 CO 
 
 © 
 
 H 
 
 & 
 
 I 
 
 Regional skier market destination: 
 
 E- EASTERN MASS. & R. I. 
 
 (238) 
 ( 12) 
 
 (238) 
 
 Eastern Mass. & R. I. contain 1.3$ of the total skier capacity in NENA, 
 Skiers interviewed while skiing in Eastern Mass. & R. I. report: 
 
 Average number of days of skiing annually: 13 • 5 Days 
 
 Average (mean) expenditure per skier-day: $ 17. 50 
 
 A median income level of: (sample too small) 
 Year during which they first began to ski: 
 
 Percent 
 30$ 
 
 l-Thl 20 $ 
 
 o - - 10$ 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 # 
 
 Skier-days spent in Eastern Mass. & R.I 
 were by residents of: 
 Market Sample 
 
 4 E. Mass. & RI 
 
 5 West. Mass. 
 
 15 
 
 2 
 
 17 
 
 88.0$ 
 12.0 
 
 100.0$ 
 
37 
 
 <D 
 N 
 •H 
 CO 
 
 CO 
 
 H 
 P, 
 
 CO 
 
 Regional skier market destination: 
 
 (1454) 
 ( 87 ) 
 ( 59 ) 
 (1454) 
 
 F- BERKSHIRES 
 
 The Berkshires contain 10.1$ of the total skier capacity in NENA. 
 Skiers interviewed while skiing in the Berkshires report: 
 
 Average number of days of skiing annually: 10. 5 Days 
 
 Average (mean) expenditure per skier-day: $ 17.07 
 
 A median income level (except students) of: $ 8,100 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 -I 20# 
 
 
 
 -T -1 
 
 
 
 
 
 
 
 
 
 i 
 
 
 
 n n rin 
 
 • 
 
 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Skier-days spent in The Berkshires 
 were by residents of: 
 
 # Market 
 
 Connecticut 
 West. Mass. 
 NY - Capitol 
 NY - SE & NYC 
 E. Mass. & HI 
 NY-Adirondack 
 NY - West 
 West. Perm. 
 New Hampshire 
 Vermont 
 NJ & E. Perm. 
 Out NENA- West 
 Out NENA- South 
 
38 
 
 N 
 
 •H 
 CO 
 
 CD 
 H 
 
 I 
 X> 
 
 Regional skier market destination: 
 
 G- CATSKILLS & POC0N0S 
 
 (1200) 
 ( 39 ) 
 ( 33 ) 
 
 (1200) 
 
 The Cat skills & Poconos contain 8.8$ of the total skier capacity in NENA. 
 
 Skiers interviewed while skiing in The Cat skills & Poconos report: 
 
 Average number of days of skiing annually: 9.1 Days 
 
 Average (mean) expenditure per skier-day: $ 22.18 
 
 A median income level (except students) of: $ 7,900 
 
 Tear during which they first began to ski: 
 
 Percent 
 30£ 
 
 flnnf] 
 
 - 20# 
 
 - 10$ 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Skier-days spent in The Cat skills & Poconos 
 were by residents of: 
 
 # 
 
 Market 
 
 Sample 
 
 % 
 
 9 
 
 NY - SE & NYC 
 
 54 
 
 60.6% 
 
 11 
 
 NJ & E. Penn. 
 
 19 
 
 21.4 
 
 10 
 
 NY - West. 
 
 5 
 
 5.6 
 
 6 
 
 Connecticut 
 
 3 
 
 3.4 
 
 12 
 
 West. Penn. 
 
 3 
 
 3.4 
 
 7 
 
 NY-Adirondack 
 
 2 
 
 2.3 
 
 8 
 
 NY - Capitol 
 
 1 
 
 1.1 
 
 14 
 
 Out NENA-West. 
 
 1 
 
 1.1 
 
 15 
 
 Out NENA- South 
 
 1 
 
 1.1 
 
 
 89 
 
 100. 0# 
 
39 
 
 a> 
 
 N 
 •H 
 CO 
 
 <U 
 rH 
 
 a. 
 
 (0 
 
 i 
 
 Regional skier market destination: 
 
 H- ADIRONDACKS 
 
 (1134) 
 ( 28 ) 
 
 (1114) 
 
 The Adirondacks contain 6.7$ of the total skier capacity in NENA. 
 Skiers interviewed while skiing in The Adirondacks report: 
 
 Average number of days of skiing annually: 13 . 6 Days 
 
 Average (mean) expenditure per skier-day: $ 15.36 
 
 A median income level of: (sample too small) 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 -I 20# 
 
 r-l 
 
 i-i 
 
 
 n - n nq 
 
 1 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Skier-days spent in The Adirondacks 
 were by residents of: 
 
 ! Market 
 
 Sample 
 
 % 
 
 NY-Adirondack 
 
 32 
 
 56. 3£ 
 
 NY - West. 
 
 10 
 
 17.5 
 
 NY - SE & NYC 
 
 6 
 
 10.5 
 
 Out NENA-West. 
 
 3 
 
 5.4 
 
 NY - Capitol 
 
 2 
 
 3.5 
 
 Connecticut 
 
 1 
 
 1.7 
 
 NJ & E. Penn. 
 
 1 
 
 1.7 
 
 West. Penn. 
 
 1 
 
 1.7 
 
 Quebec 
 
 1 
 
 1.7 
 
 57 
 
 100. 0£ 
 
40 
 
 Q) 
 
 IS! 
 •H 
 
 co 
 
 
 H 
 
 co 
 
 Regional skier market destination: 
 
 I- CENTRAL & WESTERN NEW YORK 
 
 (1298) 
 ( 77 ) 
 ( 60 ) 
 (1298) 
 
 Central & Western New York contain 10.5$ of the total skier capacity in NENA. 
 Skiers interviewed while skiing in Central & Western New York report: 
 
 Average number of days of skiing annually: 16.8 Days 
 
 Average (mean) expenditure per skier-day: $ 16.82 
 
 A median income level (except students) of: $ 9,400 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Skier-days spent in Central & Western N. Y 
 were by residents of: 
 
 # Market 
 
 Sample 
 
 % 
 
 10 NY - West. 
 
 14 Out-NENA-West. 
 
 12 West. Perm. 
 9 NY - SE & NYC 
 4 E. Mass. & RI 
 8 NY - Capitol 
 
 100 
 
 15 
 
 5 
 
 2 
 
 1 
 1 
 
 80.7$ 
 
 12.1 
 
 4.0 
 
 1.6 
 
 .8 
 
 .8 
 
 
 124 
 
 100.0$ 
 
41 
 
 
 
 N 
 •H 
 01 
 
 H 
 
 
 Regional skier market destination: 
 
 J- "WESTERN PENN., WEST VIRGINIA & MARYLAND 
 
 (655) 
 ( 3D 
 ( 26) 
 (655) 
 
 West. Penn., W. Va. & Mary, contain 2.9% of the total skier capacity in NENA, 
 Skiers interviewed while skiing in West. Penn., W. Va. & Mary, report: 
 
 Average number of days of skiing annually: 9.8 Days 
 
 Average (mean) expenditure per skier-day: $ 18.23 
 
 A median income level (except students) of: $ 6,900 
 
 Year during which they first began to ski: 
 
 Percent 
 30% 
 
 
 
 
 
 
 
 
 r-| 
 
 ' ' 'r ' 
 
 
 
 
 1 
 
 [— ] 
 
 _ T _t=u,n I! n .. 
 
 - - 10# 
 
 Before 
 1953 
 
 1957 I960 
 (YEAR) 
 
 Skier-days spent in West. Pa., W. Va. & Mary 
 were by residents of: 
 
 Market 
 
 West. Penn. 
 Out NENA-South 
 Out NENA- We st. 
 Connecticut 
 
 100. 0# 
 
42 
 
 N 
 •H 
 CO 
 
 <D 
 H 
 
 & 
 
 I 
 
 (3234) 
 ( 108) 
 ( 74 ) 
 (3234) 
 
 Regional skier market destination: 
 
 K- QUEBEC 
 
 Quebec contains 15. 0# of the total skier capacity in NENA. 
 
 Skiers interviewed while skiing in Quebec report: 
 
 Average number of days of skiing annually: 13.9 Days 
 
 Average (mean) expenditure per skier-day: $ 13 .70 
 
 A median income level (except students) of: $ 8,000 
 
 Tear during which they first began to ski: 
 
 Percent 
 
 
 n n 
 
 — 1 
 
 - T n n n n 1 — T - — T . 
 
 30# 
 20£ 
 
 Before 1957 I960 1963 
 1953 (YEAR) 
 
 Skier-days spent in Quebec 
 were by residents of: 
 
 # 
 
 Market 
 
 Sample 
 
 % 
 
 13 
 
 Quebec 
 
 237 
 
 88. 3# 
 
 14 
 
 Out NENA-West. 
 
 15 
 
 5.5 
 
 9 
 
 NT - SE & NYC 
 
 5 
 
 1.8 
 
 11 
 
 NJ & E. Perm. 
 
 3 
 
 1.1 
 
 1 
 
 Maine 
 
 2 
 
 .6 
 
 2 
 
 New Hampshire 
 
 2 
 
 .6 
 
 4 
 
 E. Mass. & RI 
 
 2 
 
 .6 
 
 15 
 
 Out NENA-South 
 
 2 
 
 .6 
 
 5 
 
 West. Mass. 
 
 1 
 
 .3 
 
 6 
 
 Connecticut 
 
 1 
 
 .3 
 
 12 
 
 West. Penn. 
 
 1 
 
 .3 
 
 
 271 
 
 100. 0# 
 
43 
 
 E 
 
 MARKET DESCRIPTION 
 
 (Sample Size - 951) 
 (Unless Indicated Otherwise) 
 
 Data is presented below both in terms of "SKIERS" and "SKIER- DAYS". The 
 inference is due to varying rates of participation. The reader can utilize 
 le figures best suited to his analysis. Some figures are shown in only one 
 )rm to avoid misinterpretation. 
 
 For example, we show that 61. 9# of the skiers in the market area are male, 
 id that they account for 67. 6# of the skiing done or "skier-days". 
 
 Percent of 
 Skiers : 
 
 Vital Statistics (skiers over 12 years old) 
 
 a. Skiers by sex 
 
 Male skiers 
 
 Female skiers 
 
 b. Skiers by marital status 
 
 Single skiers 
 
 Male 
 
 Female 
 
 Married skiers 
 
 Male 
 
 Female 
 
 No answer 
 
 61. 9# 
 38.1 
 
 59.6 
 
 40.3 
 
 c. Skiers by education (23 years old and older) 
 (Sub- sample size - 574) 
 
 .1 
 
 Percent of 
 Skier-days 
 Accounted for: 
 
 67. 6# 
 32.4 
 
 Grade School .... 
 Some High School . . 
 Graduated High School 
 Some College .... 
 Graduated College . . 
 Post Graduate Work . 
 
 63.3 
 
 36.6 
 
 40. 0£ 
 23.3 
 
 27.7 
 8.9 
 
 .1 
 
 At jiacn 
 Level 
 
 Cumulative 
 
 % At Each 
 Level 
 
 Cumulative 
 
 .5% 
 
 
 .3% 
 
 
 4.0 
 
 99.5 
 
 2.6 
 
 99.7 
 
 11.7 
 
 95.5 
 
 13.5 
 
 97.1 
 
 21.2 
 
 83.8 
 
 22.0 
 
 83.6 
 
 31.5 
 
 62.6 
 
 31.3 
 
 61.6 
 
 31.1 
 
 31.1 
 
 30.3 
 
 30.3 
 
44 
 
 d. Skiers by occupation groups 
 
 Students 
 
 Professional, Technical & Kindred Workers . . 
 (Dr., Lawyers, Teachers, Engineers, etc.) 
 
 Clerical & Kindred Workers 
 
 Managers, Officials & Proprietors, etc. . . 
 
 Craftsmen, Foremen & Kindred Workers .... 
 (Ski Instructors) 
 
 Housewives 
 
 Sales Workers 
 
 Laborers, Service Workers, Operatives, etc. . 
 
 Military Service Personnel 
 
 No answer 
 
 e. Skiers by Age Groups 
 
 Median age of skiers over 12 . . 26.2 Years 
 Median age of all skiers .... 24.7 Years 
 
 Age 12-18 
 
 Age 19-22 
 
 Age 23-30 
 
 Age 31-40 
 
 Age U - 50 
 
 Over 50 
 
 Percent of 
 
 Percent of 
 
 Skiers: 
 
 Skier-days 
 
 
 Accounted for 
 
 28.8% 
 
 30.8$ 
 
 28.7 
 
 29.1 
 
 11.6 
 
 8.9 
 
 6.6 
 
 7.4 
 
 7.1 
 
 7.1 
 
 7-4 
 
 5.8 
 
 4.3 
 
 4.8 
 
 2.5 
 
 3.2 
 
 .8 
 
 .7 
 
 2.1 
 
 2.2 
 
 19.6 
 
 23.1 
 
 19.9 
 
 16.5 
 
 22.7 
 
 23.2 
 
 22.6 
 
 21.2 
 
 13.2 
 
 13.6 
 
 2.0 
 
 2.4 
 
45 
 
 Percent of 
 Skiers: 
 
 f . Skiers by Income Groups (except students) 
 (Sub- sample Size - 658) 
 
 " What is your approximate annual income 
 before taxes and payroll deductions ? 
 Housewives please indicate family 
 income level ." 
 
 Under $6,000 annually 33.5$ 
 
 $ 6,000 to $ 9,999 annually 23-5 
 
 $10,000 to $14,999 annually 21.8 
 
 Over $15,000 annually 18.1 
 
 No answer 3.1 
 
 Median income $8,550 
 
 Percent of 
 Skier-days 
 Accounted for: 
 
 31.45 
 
 26.4 
 
 19.4 
 
 19.7 
 
 3.1 
 
 $8,580 
 
 (See Geographic, Section III-D for breakdown of median income of skiers 
 by home region and destination.) 
 
 g. Family Skiers 
 
 " Do other members of your 
 immediate family ski ?" 
 
 67. 6$ 
 31.9 
 .5 
 
 Yes 
 
 No 
 
 No answer 
 
 h. Organized Skiers 
 
 Skiers belonging to Ski Clubs 19.4 
 
 USEASA members 5.1#* 9.0£* 
 
 Non-members 16.3 22.2 
 
 Unattached USEASA members 2.4"' 
 
 Non-organized skiers 76.2 
 
 68. 0£ 
 31.1 
 .6 
 
 31.2 
 
 -* 
 
 ^USEASA Members 
 
 7.5 
 
 3.7* 
 65.1 
 
 12.7 
 
kt 
 
 2) Skier Habits 
 
 a. Ski Vacations 
 
 " Did you take a ski vacation during the current ski season ? " 
 " Did you take a ski vacation during the previous season ? " 
 (By Percent of Skiers) 
 
 
 Total 
 
 Sample 
 
 Skiers With 
 Incomes 
 Over $15,000 
 
 Sample Size 
 
 951 
 
 130 
 
 
 (1962-63) 
 
 (1961-62) 
 
 (1962-63) 
 
 YES 
 
 39. 2£ 
 
 27. l£ 
 
 60. 7# 
 
 NO 
 
 No answer 
 
 58.2 
 2.6 
 
 68.0 
 4.9 
 
 39.3 
 
 Among 1962-63 vacation skiers the following modes of transportation were 
 used to reach their vacation destination. (Sub sample size - 443) 
 (By Percent of 1962-63 Vacation Skiers) 
 
 88.1$ Automobile 
 
 3.0 Bus 
 
 2.7 Three or more modes 
 
 2.2 Air 
 
 1.4 Auto & Air 
 
 .9 Air & Bus 
 
 .7 Rail & Bus 
 
 .7 Auto & Bus 
 
 .3 Rail & Air 
 
47 
 
 Vacation skiers reported lengths of vacations as follows: 
 
 ub-sample size - 443) 
 
 
 (Sub- sample 
 
 size - 443 - 
 
 335) 
 
 
 . Days away 
 
 
 No. Days of 
 
 
 
 
 from home 
 
 1962-63 
 
 skiing 
 
 1962-63 
 
 
 1961-62 
 
 4-5 
 
 39-72 
 
 under 3 
 
 17.82 
 
 
 11.52 
 
 6 - 7 
 
 19.4 
 
 4 - 5 
 
 37.0 
 
 
 36.4 
 
 8-9 
 
 16.9 
 
 6-7 
 
 20.8 
 
 
 24.2 
 
 10-11 
 
 10.9 
 
 8-9 
 
 13.4 
 
 
 10.6 
 
 12 - 13 
 
 1.9 
 
 10-11 
 
 2.9 
 
 
 7.7 
 
 14-15 
 
 2.1 
 
 12-13 
 
 2.4 
 
 
 2.2 
 
 16 - 17 
 
 1.6 
 
 14 - 15 
 
 2.5 
 
 
 3.3 
 
 18 - 19 
 
 .1 
 
 16 - 17 
 
 .6 
 
 
 .8 
 
 20 & over 
 
 3.5 
 
 18 - 19 
 
 1.0 
 
 
 .9 
 
 no answer 
 
 3.9 
 
 over 20 
 
 1.6 
 
 
 2.4 
 
 mean 
 
 7.8 Days 
 
 mean 
 
 6.2 Days 
 
 6.9 Da 
 
 1962-63 vacation skiers spent an average of 
 
 $ 16.78 per skier-day 
 
 For travel, lodging, food, entertainment, ski equipment 
 and ski facilities while on vacation. 
 
 Amount spent on vacation 
 per skier-day 
 
 less than $10.00 I///////////// 
 $10.00 - $19.99 
 
 Percent 
 25.72 
 
 20.00 - 29.99 
 30.00 - 39.99 
 40.00 - 49.99 
 50.00 - 59.99 
 60.00 - 69.99 
 70.00 - 79.00 
 80.00 and over 
 no answer 
 
 wmm/m//t//m///m/////m////////tk 43.2 
 
 v////////////////////m 19 .x 
 
 4.7 
 
 .7 
 
 2.3 
 
 m 
 
 .4 
 3.8 
 
48 
 
 b. Weekend Skiing 
 
 " Approximately how many Saturdays, Sundays, and/or Holidays did you 
 ski during the current ski season ?" 
 
 " Approximately how many Saturdays, Sundays, and/or Holidays did you 
 ski during the previous ski season ?" 
 
 1962-63 
 
 No. weekend 
 days skied 
 
 1961-62 
 
 30. l£ 
 
 26.6 
 
 17.0 
 
 11.1 
 
 5.5 
 
 3.5 
 
 4.5 
 
 1.7 
 
 11.1 Days 
 
 \///////////////////////\ under 5 V///////////////////////////////A 43.0* 
 
 WMMMMA 6 - 10 V///////////////A 21.9 
 
 V////////////X 11-15 mum 10.6 
 
 vumm 16-20 mm 7.8 
 
 Eza 21 - 25 ^ 3.8 
 
 26 - 30 2.1 
 
 over 30 £2 3.9 
 
 no answer|ZZ/2 6.9 
 
 mean 
 
 8.7 Da: 
 
49 
 
 " How much do you spend on an average weekend and/or Holiday ski trip ? 
 ( Includes expenditures for travel, lodging, food, entertainment and 
 ski facilities .) $ per day ." 
 
 Weekend skiers spend an average (mean) of: 
 
 $ 18.06 per skier-day 
 
 For travel, lodging, food, entertainment and ski facilities. (See Geo- 
 graphic Distribution,Section III D for breakdown of mean expenditure by 
 skiers by home region and destination.) 
 
 Amount spent 
 per skier-day 
 
 less than $10.00 V////////////////////////////A 
 
 $10.00 - $19.99 WMMMMMMMMM2M 
 
 20.00- 29.99 y/////////////////////////A 
 
 30.00 - 39.99 WJWa 
 
 40.00 - 49.99 
 
 50.00 - 59.99 
 
 60.00 - 69.99 
 
 70.00 - 79.99 Q 
 
 80.00 and over 
 
 VMM 
 
 no answer 
 
 Percent 
 
 23. 5# 
 
 37.2 
 
 21.1 
 
 6.0 
 
 2.0 
 
 1.2 
 
 .5 
 
 .4 
 
 .4 
 
 7.6 
 
 Iging: (By percent of skiers) 
 
 ten you g,o on a ski trip do you usually stay overnight ? Where ? 
 
 YES 
 
 Lodge (two meals) 18. 6% 
 
 Private Residence 11.4 
 
 Motel (no meals) 4.1 
 
 Hotel (meals optional) .... 2.7 
 
 Ski Club Cabin 2.0 
 
 Dormitory 1.5 
 
 Other 10.0 
 
 No answer .4 
 
 NO ... . 
 No answer 
 
 50. 7£ 
 
 46.6$ 
 2.7 
 
A description of two sub-samples as compared to the main sample follows: 
 (By Percent of Skiers) 
 
 
 
 Skiers who 
 
 Skiers who 
 
 
 
 usually stay 
 
 usually stay 
 
 
 
 overnight at 
 
 overnight at 
 
 
 All 
 
 a private 
 
 a ski lodge 
 
 
 Skiers 
 
 residence 
 
 
 Sub- sample Size 
 
 951 
 
 123 
 
 155 
 
 
 
 
 
 
 % 
 
 % 
 
 % 
 
 Single 
 
 59.6 
 
 54.7 
 
 59.7 
 
 Married 
 
 40.3 
 
 45.3 
 
 40.3 
 
 Female 
 
 38.1 
 
 38.6 
 
 50.9 
 
 Male 
 
 61.9 
 
 61.4 
 
 49.1 
 
 Age: 12-18 
 
 19.6 
 
 16.2 
 
 12.4 
 
 19 - 22 
 
 19.9 
 
 21.5 
 
 24.3 
 
 23 - 30 
 
 22.7 
 
 23.8 
 
 24.0 
 
 31 - 40 
 
 22.6 
 
 26.3 
 
 23.7 
 
 41-50 
 
 13.2 
 
 10.7 
 
 13.7 
 
 Over 50 
 
 2.0 
 
 1.5 
 
 1.9 
 
 Income: (except students) 
 
 
 
 
 Under - $ 6,000 
 
 33.5 
 
 34.3 
 
 39.1 
 
 $ 6,000 - $ 9,999 
 
 23.5 
 
 22.6 
 
 16.5 
 
 $10,000 - $14,999 
 
 21.8 
 
 23.2 
 
 21.0 
 
 Over - $15,000 
 
 18.1 
 
 18.5 
 
 20.8 
 
 No answer 
 
 3.1 
 
 1.4 
 
 2.6 
 
 Education: (23 years old 
 
 
 
 
 and older) 
 
 
 
 
 Less than a college degree 
 
 37.4 
 
 16.9 
 
 44.2 
 
 A Bachelor's degree 
 
 31.5 
 
 33.6 
 
 26.4 
 
 Graduate School 
 
 31.1 
 
 49-5 
 
 29.4 
 
 Geographic distribution: 
 
 
 
 
 Maine 
 
 2.9 
 
 5.2 
 
 1.1 
 
 New Hampshire 
 
 4.4 
 
 1.0 
 
 1.5 
 
 Vermont 
 
 3.0 
 
 1.2 
 
 1.8 
 
 East. Mass. & R. I. 
 
 17-4 
 
 21.0 
 
 21.3 
 
 Western Massachusetts 
 
 3.6 
 
 1.3 
 
 2.9 
 
 Connecticut 
 
 11.6 
 
 17.1 
 
 12.4 
 
 N.Y. - (Adirondack) 
 
 2.2 
 
 1.5 
 
 .2 
 
 N.Y. - (Capitol) 
 
 3.8 
 
 .8 
 
 1.6 
 
 N.Y. - (S.E.,NYC & Long Is) 
 
 17.7 
 
 24.4 
 
 26.3 
 
 N.Y. - (Western) 
 
 6.3 
 
 3.3 
 
 7.1 
 
 New Jersey & East. Penn. 
 
 7.4 
 
 6.0 
 
 10.1 
 
 Western Pennsylvania 
 
 3.1 
 
 .6 
 
 1.9 
 
 Quebec, Canada 
 
 11.1 
 
 8.5 
 
 1.1 
 
 Outside NENA - West 
 
 3.3 
 
 2.9 
 
 3.4 
 
 Outside NENA - South 
 
 2.2 
 
 5,2 
 
 7.3 
 
51 
 
 " When you go for a day's skiing, do you usually use the area eating 
 facilities when they are available ?" ( Other than for coffee and/or other 
 beverages . ) 
 
 YES . . . 
 NO . . . 
 No answer 
 
 c. Midweek Skiing: 
 
 Percent of 
 Skiers 
 
 71.956 
 
 26.7 
 1.4 
 
 " Do you ski during the work or school week ? " 
 Holidays & vacation periods .) 
 
 Percent of Skier-days 
 Accounted For 
 
 70. 6£ 
 27.6 
 1.8 
 
 ( Other than weekend , 
 
 YES . . . 
 NO . . . 
 No answer 
 
 31.2* 
 64.6 
 4.2 
 
 " On the average, during the past few years, approximately how many 
 weekdays (other than weekends, Holidays and vacation periods) did you 
 ski during a month?" (A weekday means all or part of one 24 hour day , 
 Monday through Frida:/- .; 
 
 (Sub-sample size 377) 
 Days of skiing/month 
 
 1-3 
 
 4-8 
 
 9-14 
 15 - 20 
 
 No answer 
 
 Mean participation 
 d. Total Skiing: 
 
 Percent of midweek skiers 
 
 55.5% 
 30.2 
 
 4.8 
 
 5.8 
 
 3.7 
 
 4.5 days/month 
 
 " Approximately how many days do you usually ski each season ? " 
 (This question was asked in the field. Results shown below compare total 
 field responses to field responses of those receiving and answering the 
 mail questionnaire.) 
 
 Average number of days of skiing each season 
 
 
 Field findings 
 
 Sub- sample . 
 Questionnaires 
 sent 
 
 findings 
 Questionnaires 
 returned 
 
 Sample size 
 
 19,903 
 
 1710 
 
 951 
 
 Total market 
 
 12.7 days 
 
 13.4 days 
 
 13.9 days 
 
 USEASA members 
 
 23.5 days 
 
 
 23.6 days 
 
Skiers report participation rates as follows: 
 
 izzzzza 
 
 RATE OF SKIER PARTICIPATION 
 
 (Sample Size - 19,903) 
 —\ % of. all skiers 
 
 % of USEASA member skiers 
 
 
 
 
 
 
 
 
 
 
 
 
 
 s 
 
 V 
 
 ^ 
 
 V 
 
 
 s. 
 
 ///// 
 
 ///// 
 =1 
 
 7 / 1 A 
 
 i — n KJ en. Kl 
 
 Under 11 
 
 21 
 
 31 
 
 10 
 
 20 
 
 41 6i 
 
 80 
 
 G0% 
 
 50 
 
 40 
 
 30 
 
 20 
 
 10 
 
 Over 
 
 80 
 
 30 40 60 
 
 Days of skiing annually 
 
 Figures shown below summarize the past winter's experience. Skiers re- 
 ported usual season's participation when interviewed on the slopes during 
 the season. Actual participation, as reported after the season, varied. 
 We surmise that the significantly higher rate reported during 1962-63 is 
 due to the unusually good snow winter enjoyed by the industry. 
 
 Reported average participation - 1962-63 
 (Sample size 951) 
 
 All skiers 
 
 Days of Vacation Skiing 2.4 days 
 
 Days of Midweek Skiing 4.2 days 
 
 Days of Weekend & Holiday Skiing . . 11.1 days 
 
 USEASA members 
 
 4.6 days 
 
 6.2 days 
 
 16.0 days 
 
 Mean days of participation 17.7 days 
 
 26.8 days 
 
53 
 
 e. Ski Instruction (Percent of Skiers:) 
 
 " Have you ever taken lessons from a certified ski school ? " 
 
 YES 50.1% 
 
 NO 45.1 
 
 No answer .... 4.8 
 
 Skiers who have taken lessons occur more often among: 
 
 Female skiers 6l.l$ YES 
 
 Skiers over 40 years old .... 70.3 YES 
 
 Skiers having family incomes in 
 
 excess of $15,000 annually ... 71.6 YES 
 
 " Why did you choose the school that you did? " (Sub- sample size - 518) 
 
 This was a forced choice question with seven specific answers and an 
 open ended 'other' category. 
 
 Forced answer Percent"" 
 
 Convenience 60.8$ 
 
 Reputation of ski school 14.0 
 
 Recommended by a friend 9.2 
 
 Technique taught 8.4 
 
 Cost 5-7 
 
 Desire for specific instructor 4«9 
 
 Professional reputation of ski school director . . 4.3 
 
 Other 8.8 
 
 No answer .1 
 
 *" Will not add to 100$ since multiple answers were recorded. 
 
 Reasons given after "other" generally fall in the following categories: 
 
 1. Participation in a sponsored program (School, College, Club or 
 Resort Package Program) 
 
 2. Lesson free with ski rental 
 
 3. Classes uncrowded 
 
 4. "I took lessons at the ski resort I was at because the people I 
 was with required it." 
 
 5. Specialized race training program. 
 
 6. Special rates offered on special day. 
 
54 
 
 3) Skier Preferences (Percent of Skier-days Accounted For:) 
 
 Seven preference questions were included to provide an indication of 
 consumer attitudes. Question #1 was purposely limited to four choices in 
 order to measure relative demand for extras. One would normally expect the 
 skiing available to be most important. However, since 20.0$ indicated some 
 other consideration was the major influence in the decision of where to ski, 
 extras do play a major role in attracting skiers. 
 
 " Please mark the consideration you feel is MOST important when you choose 
 an area to ski . " 
 
 The skiing available 30.0$ 
 
 The general atmosphere 9.9 
 
 The expense 8.5 
 
 The supporting facilities (lodge, parking) 3.9 
 
 (Will not add to 100$ since multiple answers were recorded.) 
 
 a. Slope Preference: A set of questions were included to guide developer 
 when seeking ski terrain. 
 
 " Please indicate your preference in terrain . " 
 
 I ski mainly on steep challenging slopes but enjoy an 
 
 occasional moderate run 20.3$ 
 
 I ski equally as much on both types of terrain 28.9 
 
 I ski mainly on moderate easy slopes but enjoy an 
 
 occasional steep challenging run 45.8 
 
 I ski only on beginners slopes 4.2 
 
 No answer .8 
 
55 
 
 Terrain preferences among specific groups varied as follows: 
 
 V///////A\\\\\V\\WT 
 
 IS 
 
 20. 3# 
 
 28. 9# 
 
 45.i 
 
 k.2% 
 
 \2.1% 
 
 26.3^ 
 
 50.3^ 
 
 10. l£ 
 
 ///////// ///JKWWWWWWW 
 
 27. 7# 
 
 £ 
 
 34. 0# 
 
 36.5^ 
 
 1% 
 
 ////////// //IWWWWWl 
 
 30. 4^ 
 
 28. 0£ 
 
 38. 2£ 
 
 2.9$ 
 
 V//A\\\\\\\N 
 
 E 
 
 11. 2& 
 
 25. 7£ 
 
 59. 9# 
 
 3.3^ 
 
 Total 
 skiers 
 
 Female 
 skiers 
 
 Frequent 
 skiers 
 
 -K- 
 
 E< Students 
 
 Skiers 
 over 40 
 
 TERRAIN PREFERENCE 
 
 |// /// I I ski mainly on steep, challenging slopes, but enjoy 
 an occasional moderate, easy run. 
 
 L\\\V1 I ski equally as much on both types of terrain. 
 
 I ski mainly on moderate, easy slopes, but enjoy 
 an occasional steep, challenging run. 
 
 bOC>C>CA I ski only beginners slopes. 
 
 " Please indicate your preference in moguls (skier made bumps) " 
 
 I find them all challenging and fun to ski 41. 3% 
 
 I enjoy moderate bumps but avoid the extreme 43.7 
 
 I hate moguls, but enjoy the natural rolling terrain . . 11.0 
 
 I like only smooth slopes 2.9 
 
 No answer 1.1 
 
 >ee definition on page 58 
 
Slope -surf ace preference among specific groups varied as follows: 
 
 1A\\\WW\\\WWVAVW//AX: 
 
 41. 3£ 
 
 43. 7£ 
 
 11$ 9.2% 
 
 W\\\\\\\\\\\\\\\\\\\\^//////A^ 
 
 28.2$ 
 
 49.0$ 
 
 15.9$ 6.2$ 
 
 k\\\\\\\\\\\\\\\\\\V7F 
 
 53.: 
 
 35.9$ 
 
 8.7 .8 
 
 56.0$ 
 
 i\va\\\\\\\\vaivv/e 
 
 33-8$ 
 
 7.2-1.4 
 
 K\\\\\\\\\\\\\\\\\\\\\\i////z^: 
 
 30.6$ 
 
 52.7$ 
 
 14.5-2.1 
 
 SLOPE PREFERENCE 
 
 I find moguls all challenging and fun to ski. 
 
 Total 
 skiers 
 
 Female 
 
 skiers 
 
 Frequent 
 skiers 
 
 Students 
 
 Housewives, 
 
 Professional, 
 
 Managerial 
 
 R\\\\\M I enjoy moderate bumps, but avoid the extreme. 
 
 V/ /// /7~X I hate moguls, but enjoy the natural rolling terrain. 
 
 IS<VxWS?^ I like only smooth slopes. 
 
 b. Lift Preferences: Two questions asked the skiers desires for specific 
 services. Relating price increases were included to measure his/her will- 
 ingness to pay for these services, and also provide some measure of the 
 intensity of their feelings. 
 
 " Assuming a surface lift were satisfactory, are you willing to pay an 
 additional 20$ fee to ride up a ski slope on a chair lift ?" 
 
 YES . 40.9$ 
 
 NO 57.2 
 
 No answer 1.9 
 
 Analysis of sub-grouping uncovered no "significant" differences. All 
 classifications of skiers think much the same concerning this more expen- 
 sive facility. 
 
 " Would you be willing to pay a 10$ premium if you did not have to wait 
 in a ski lift line over 5 minutes ?" 
 
 YES 81.9$ 
 
 NO 16.6 
 
 No answer 1.5 
 
57 
 
 Again no significant departures from this pattern appeared in any sub- 
 groupings. 31 respondents (33%) considered the question important enough 
 to either double check "YES" or write comments. Several proposals were 
 received concerning solutions to the problem. 
 
 c. Competition: Two questions concerning competition brought the follow- 
 ing response. 
 
 , "Would you go to an a rea specifically to watch a major sk i competition? 
 (Class A caliber)" *" 
 
 YES 
 
 All skiers /^. £ 
 
 Housewives, Professional, 
 
 Managerial, Sales 33.5 
 
 Students 60.8 
 
 Single skiers 49.4 
 
 Married skiers 34.5 
 
 * Includes no answer qategory. 
 
 NO 
 55.3% 
 
 NO ANSWER 
 .1% 
 
 66. 5#* 
 39.2 * 
 50.6 * 
 65.5 * 
 
 , "P y°tt a void skiing at a ski area, when vou otherwise woul d, if you 
 know a ski competition is to be held there?" ~ — 
 
 All Skiers 
 Frequent Skiers 
 
 YES 
 
 42. 3£ 
 32. 3£ 
 
 NO 
 55.k% 
 
 67. 7£ 
 
 NO ANSWER 
 2.3% 
 
 There were 128 or 13. U% who answered "YES" to both competition questions. 
 Equipment Ownership : 
 
 "Do you own your own ski boots? " 
 
 YES 
 NO 
 
 " Do you own your own skis ? " 
 
 YES .... , 
 NO 
 
 Percent of 
 Skiers 
 
 Percent of 
 Skier-days 
 Accounted for: 
 
 85.9% 
 14.1 
 
 93.7% 
 6.3 
 
 84. 8# 
 15.2 
 
 93.2% 
 6.8 
 
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IV 
 
 LIMITATIONS 
 
 Statistical accuracy depends upon obtaining a representative sample and 
 collecting correct data. 
 
 1) Limitations of the Representative Sample : 
 
 Sample design and selection is discussed in the Appendix under Methodology 
 The sample achieved is subject to some bias, but generally meets the criterion 
 of a random sample. While bias due to allowing a skier who participates more 
 often a greater chance of selection has been adjusted for, a similar bias is 
 present due to the probable higher chance of selection afforded a "harder" 
 skier. Lift line interviews may have allowed this skier more chances of selec 
 tion although techniques utilized minimized this possibility. Some bias is I 
 present through failure to obtain cooperation from all skiers initially approa 
 ed Reports from the field indicated that very few refusals were encountered 
 during Stage I collection. Names and addresses were collected from 1,710 skie 
 No names were collected from children under 12 years. Thus, since children co 
 prised 9.5$ of the field sample, this indicates that only some 92 skiers refus 
 to cooperate in the Stage II mail survey. 
 
 Limitations Due to Sampling Bias : 
 
 There is bias in the size findings due to failure to obtain correct factua 
 information. The extent of this bias is discussed under Section III, A "SIZE" 
 
 Frequency of participation findings may include bias due to the conversion 
 of answers such as "every weekend" or "every other weekend" into days. Respon 
 dents may consider the ski season to last from January 1 through March 31, 
 whereas interviewers were instructed to use December 22 through April 15 as th 
 season. The researcher considers this bias to be minimum since results of the 
 mail questionnaire for 1961-62 are similar to the field findings. 
 
 The use of the forced choice technique in the preference questions assumes 
 the skier sees the preference as the question states. Such assumption may not 
 be valid. 
 
 Findings are valid for the described market only. 
 
 3) Limitations Due to Respondent Bias : 
 
 A sub- sample of 100 non-respondents to the mail questionnaire was conducte 
 and is included in the Appendix, Section C. Findings differ somewhat from the 
 main findings. Significant differences appear in the percent who took a winte 
 ski vacation and to a slight extent in the percent who ski during mid-week 
 periods. Both findings were less among the sub-sample. Further analysis show 
 the sub-sample generally contains a younger group, which would explain the a- 
 bove variations. The researcher believes this difference is due to the fact 
 that more of the sub-sample who were not reached are among the older, more edi 
 cated, employed persons and thus the students are overrepresented in this sub- 
 sample . 
 
61 
 
 V 
 QUANTITATIVE ANALYSIS 
 
 The following analysis combines various quantitative findings of the survey 
 1 compares them with reported ski area capacities in order to establish some 
 ichmark relating the supply-of to demand-for ski facilities. Data is presented 
 a common form, Annual Skier-Days. A skier-day represents one skier skiing 
 i day. The relationship between supply and demand shown here does not necess- 
 y measure the degree of profitability of ski areas. It is beyond the scope 
 this report to determine where break-even occurs in this industry. 
 
 This analysis of necessity makes several key assumptions concerning the 
 Lly skiing demand of the average skier and the length of the average winter. 
 i reader is cautioned against using the findings and conclusions prior to 
 iding and evaluating the method used. 
 
 Similar quantitative analysis can be performed for various geographic re- 
 als and destinations by utilizing the data given on the Geographic plates in 
 jtion III D and the capacity data shown in Table I. A breakdown of the region- 
 market percentage of vacation and mid-week skiers is given in Table J. 
 
 FINDINGS 
 
 The three types of skier markets used throughout the survey are shown be- 
 i and their capacity vs. usage shown for the 1962-63 ski season. 
 
 Skier Markets Annual Skier- Days 
 
 Ski Area Ski Area 
 Capacity Usage 
 ( Supply) ( Demand ) 
 
 Weekend and Holiday periods l4,05l,011j 4,950,000 
 
 Vacation periods 3,586,1*30 1,090,000 
 
 Mid-week periods 6,137,900 1,880,000 
 
 T °TAL 10,188,911* 7,920,000 
 
 * Included in other two totals. Available at vacation oriented areas 
 only. 
 
 B 
 
 1962-63 SKI FACILITY USAGE 
 
 1962-63 Total Usage 
 
 There were approximately 7,920,000 annual skier-days of skiing accomplished 
 447,600 skiers in Northeast North America during the winter of 1962-63. 
 

 2) 1962-63 Usage of Vacation Skiing Facilities 
 
 There were 1,090,000 days of vacation skiing accomplished during the 
 1962-63 ski season by this skier market. Some of these days were at ski arei 
 outside of Northeast North America. 
 
 Two steps were necessary to produce this figure: 
 
 Step 1: 1962-63 vacation skiers were separated from the total market o 
 447,600. There were 175,000 vacation skiers. 
 
 Step 2: These 175,000 vacation skiers were converted to vacation skier 
 days by multiplying by the weighted average days skied during vacation. 
 
 3) 1962-63 Usage of Weekend & Holiday Skiing Facilities 
 
 There were 4,950,000 days of weekend & Holiday skiing accomplished duri 
 the 1962-63 ski season by skiers in Northeast North America. 
 
 One step was necessary to produce this figure. Total skiers were multi 
 plied by weighted average weekend and Holiday days of skiing reported. 
 
 4) 1962-63 Usage of Mid-week (non-weekend & vacation) Ski Facilities 
 
 There were 1,380,000 days of midweek skiing accomplished during the 
 1962-63 ski season by skiers skiing in Northeast North America. 
 
 Two steps were necessary to produce this figure. 
 
 Step 1: 1962-63 mid-week skiers were separated from the total 447,600. 
 There were 140,000 mid-week skiers. 
 
 Step 2: The 140,000 mid-week skiers were multiplied by the weighted 
 average number of mid-week days skied to obtain the total number of mid-week 
 days of skiing accomplished. 
 
 C 
 1962-63 SKI ABEA CAPACITY 
 
 1) Concept 
 
 Ski areas can be divided into three major categories based upon markets 
 This breakdown is useful for evaluating the economic potential of an area as 
 well as planning for necessary facilities. Ski Areas cater primarily to: 
 
 a. Vacation Skiers: Vacation oriented ski areas are characterized by 
 relatively remote location, luxury of facilities, variety of terrain an 
 relatively dependable snow conditions. These areas are generally found 
 on the larger mountains and include a multi-lift complex, and spacious 
 base lodge. A concentration of eating and overnight facilities can be 
 found nearby. 
 
63 
 
 b. Weekend Skiers: Weekend oriented ski areas are characterized by some- 
 what limited ski terrain, (in comparison to Vacation Areas) relative ease 
 of access, and a miniraum of supporting facilities, yet located in snowbelts. 
 These areas can be found between population centers and the Vacation oriented 
 areas. They depend upon a weekend influx of skiers interested in skiing 
 with a minimum of travel. 
 
 c. Day Skiers: Areas oriented to the day skier are located within an hours 
 drive of a major center of population. They are characterized by severely 
 limited terrain. Many include lights and/or snowmaking equipment. Their 
 business is generated mainly by their convenient location. 
 
 Most vacation oriented areas receive an influx of weekend skiers, and 
 some day customers. The "day" areas generally experience overflow crowds 
 on weekends. Thus, weekend skiers determine the peak need for facilities 
 while the other markets may make the difference between profit and loss. 
 
 Technical Note : 
 
 The figures used state ski area capacity in vertical transport feet per 
 r. Total ski season capacity is based upon assumptions shown below: 
 
 a. The average skier demands 8,000 vertical feet of skiing per day. (This 
 is four trips on a slope with a 2,000 foot vertical drop or 16 trips on a 
 500 foot drop). 
 
 b. The average skier begins his/her day's skiing at 10 AM and,unless 
 
 a one hour lunch break is taken, completes skiing by 3 PM. Practically 
 speaking capacity is based upon 5 hours of operation daily. 
 
 c. On the average, a ski area can provide skiing for 80$ of the available 
 days in any season. This means: 
 
 33 Weekend & Holiday days 
 
 50 Mid-week days 
 
 83 Total days of skiing 
 
 The figures shown here are based upon data gathered at 170 ski areas 
 during the winter of 1962-63. This total includes almost all cable lifts 
 in the geographic area of this study. Rope tow figures have been included 
 separately due to the very uncertain nature of their operation from season 
 to season and the widely varying claims of uphill capacity. Rope tow 
 figures are a combination of facts gathered during this study and educated 
 guesses where operations of unknown capacity are known to exist. A detailed 
 breakdown by VTF/hr is shown in the Appendix (Table I). 
 
 Total Capacity 
 
 The total ski operations in Northeast North America made available U,0$l>011t 
 .er days of Weekend & Holiday skiing and 6,137,900 skier days of mid-week ski- 
 ; during the 1962-63 ski season. 
 
 Cable lifts offered 3,390,651 skier days of weekend & Holiday skiing and 
 •37,350 skier mid-week days. 
 
 tors note: It is important to note that the average skier demands 8,000 
 
 t within the 10 a.m. to 3 p.m. day (mentioned in 2b). A skier skiing a 
 ger day may demand more verticle feet. 
 
64 
 
 4) Vacation Capacity 
 
 Vacation oriented ski areas offered 3>586,U30 skier days during 1962-63. 
 1,U2£j930 of these days were available during weekend and Holiday high use 
 periods. 
 
 5) Technical Note 
 
 Two steps were necessary to produce these figures: 
 
 Step one: Total capacity in Vertical Transport Feet per hour for all ski 
 areas in Northeast North America was divided by 1,600 VTF/hr. (8,000 VTF/day 
 over a period of 5 hours) the average demanded by one skier. 
 
 Step two: The resulting figure 122,758 represents the number of skiers 
 that all ski areas combined are able to support at any one time. 122,758 skiei 
 days of skiing available on any one winter day was then multiplied by an aver- 
 age winter of 33 Weekend and Holiday days of skiing. 
 
 A similar procedure produced the mid-week supply as well as figures on 
 cable lifts only. 
 
 Vacation capacity was computed the same way using VTF/hr figures from only 
 those ski areas described by the researcher as "vacation" oriented. In inter- 
 preting these figures one must realize that many of the 3*586, U30 "vacation" 
 skier days available were used by "weekend" and "day" skiers. 
 
65 
 
 APPENDIX 
 TABLE OF CONTENTS 
 
 page 
 
 A METHODOLOGY A-l 
 
 1) Research Design A-l 
 
 2) Data Collection A-l 
 
 3) Sample Design A-2 
 
 4) Field Work A-5 
 
 B CALCULATIONS A-6 
 
 1) Statistical Confidence Limits ..... A-6 
 
 2) Approximate Days of Skiing Annually A-6 
 
 3) USEASA A-7 
 
 4) Size of Northeast U.S. Market Only A-7 
 
 5) Geographic Distribution of Respondents A-8 
 
 C SUB-SAMPLE OF 100 NON-RESPONDENTS A-9 
 
 D TABLES 
 
 A - Findings for skiers categorized by ski habits A-13 
 
 B - Findings for skiers categorized by social characteristics A-14 
 
 C - Findings for skiers categorized by age A-15 
 
 D - Findings for skiers categorized by income A-16 
 
 E - Findings for skiers categorized by occupation A-17 
 
 F - Rate of participation of skiers by Regional markets . . A-18 
 
 H - Occupation of skiers by Region (skier residence) . . . A-19 
 
 I - Ski Areas in Northeast North America by Capacity . . . A-20 
 
 J - Regional Percentage for Vacation & Mid-week Skiers . . A-37 
 
E DETAILED DATA COLLECTION PROCEDURES 
 
 Letter to Interviewers A-38 
 
 Copy of Letter to Ski Area Managers A-39 
 
 Interviewer Procedure h-UO 
 
 Sheet #1 (Estimating number of interviews to conduct) . . . A-42 
 
 Instructions for completing Sheet #2 A-43 
 
 Sheet §2 (interviewer Report Sheet) A-45 
 
 Questions and Answers A— 46 
 
 Mail Questionnaire A-48 
 
 F TYPICAL PROBLEM A-52 
 
 G SUPPLEMENTARY REFERENCES A-53 
 
A-l 
 
 APPENDIX 
 
 A 
 METHODOLOGY 
 
 1) Research Design 
 
 The problem of measuring and describing the skier market in quantitative 
 and qualitative terms required a descriptive study. A two stage statistical 
 study of skiers was used to allow the researcher to present the required data 
 from the consumers point of view. The objective was to obtain data to assess 
 the economic potential of facilities to serve the sport, therefore, quantitative 
 data had to be a function of participation, thus ruling out measures of either 
 capacity of facilities or sales of equipment. 
 
 The first stage required the collection of data designed to measure the 
 total number of skiers, the number of days skied annually and the season the 
 skier first started to ski. A 10$ sub-sample of first stage interviewees were 
 asked to participate in the second stage of the research. 
 
 The second stage required the collection of data designed to describe the 
 skier, his/her habits, selected preferences and socio-economic characteristics. 
 
 2) Data Collection 
 
 Field interviewers collected first stage data directly from skiers selected 
 by random methods from ski slopes throughout the geographic area of the study. 
 Selected skiers were asked five factual questions. Responses were recorded by 
 check mark on a prepared form (see Sheet #2, under DETAILED DATA COLLECTION 
 PROCEDURES). Every tenth interviewee (if over 12 yrs) was asked to participate 
 in the more detailed Stage II study. Field Interviewers recorded names and 
 addresses of willing participants. 
 
 Second stage data was collected by mail questionnaire. (A copy of the 
 questionnaire appears under DETAILED DATA COLLECTION PROCEDURES). One mailing 
 of 1,710 questionnaires yielded 951 useable returns. No followup mailings were 
 made. 
 
 This method of data collection provided the maximum amount of correct in- 
 formation. Slope interviews were necessary to reach a representative sample 
 of skiers since skiers form too small a segment of the total population to 
 reach economically through telephone, or other geographic interviewing techniques. 
 
 Slope interviews were also necessary to collect a representative mailing 
 list. Slope interviews were kept short, both to motivate maximum participation 
 
A- 2 
 
 and obtain a large sample in a minimum amount of time. While the lift line 
 interview situation used provides the most practical method of obtaining a 
 representative sample, the interview is conducted out of doors in winter 
 weather. It is therefore important to keep the interview as short as possible. 
 The second stage was used to obtain the detailed information which could not be 
 obtained in the field. Mailing the questionnaire to every tenth respondent 
 rather than distributing them on the slopes accomplished the following objectives 
 
 1) Questionnaires were not distributed until the end of the ski season, 
 therefore allowing the collection of comparable data on total season's 
 activity. 
 
 2) Questionnaires arrived at the respondent's home, minimizing the chance 
 of either getting lost or being given to another skier to fill out and 
 return. 
 
 3) Complete control and analysis of who receives and who returns a question- 
 naire was possible. 
 
 3) Sample Design 
 
 a. The Universe: The universe sampled consisted of all skiers partici- 
 pating in the sport, at an identifiable ski area during the 1962-63 ski 
 season, in Northeast North America. 
 
 b. The Geographic Boundaries: The Northeast North America includes the 
 states of West Virginia, Maryland, Pennsylvania, New Jersey, New Tork, 
 Connecticut, Rhode Island, Massachusetts, Vermont, New Hampshire, the 
 southwestern half of Maine and the Laurentian and eastern township zones 
 of Quebec. (See map on page 15) 
 
 i 
 
 c. A "Skier": A skier as used in this study includes any person with ski 
 equipment who is riding, or in line to ride, uphill on a ski lift. 
 
 d. A "Ski Area": A ski area as used in this study includes all identifi- 
 able sites where participants engage in the sport of skiing and have a ski 
 lift to transport them to the top of the slopes. Ski areas included in 
 this study were obtained from published and non-published sources as listed 
 below: 
 
 "The American Ski Directory", November 1961 
 
 "Ski Faring", 1961-62 Edition 
 
 Membership list of National Ski Area Association, Inc. 
 
 List of all registered passenger tramways from the N. H. State Passenger 
 
 Tramway Safety Board 
 List of Vermont Passenger Tramways. 
 Mailing list of New Tork State Ski Centers from the N.Y.S. Dept. of Commerce 
 
 e. Size of Sample: 19,903 skiers were contacted during phase I of the 
 study. 1,710 skiers were contacted during phase II. 
 
 Phase I determined the size of the skier market by obtaining the pro- 
 portion of the sample holding membership in the United States Eastern 
 Amateur Ski Association. Original estimates placed this proportion at 2%, 
 thus requiring 20,000 interviews to obtain the desired statistical accuracy 
 
A-3 
 
 of £ .2% (10$ of 2%) at the 95$ confidence interval. Actual findings 
 placed the percentage at 5.60$ thus providing greater statistical accuracy. 
 
 Phase II determined habits, preferences and makeup of the market. 
 Original plans -were based upon 600 returns providing statistical accuracy 
 of £ 3.5$ (15$ of 25$) or better for findings between 25$ and 75$ of the 
 sample. Actual returns of 951 provided greater statistical accuracy. 
 
 f. Procedure of Sample Selection: 24,000 skiers were selected (we expect- 
 ed 20$ would not cooperate) by random methods, by listing every ski area, 
 categorizing them by capacity and period of operation, then selecting a 
 proportionate number of interviews to be accomplished at each category of 
 areas. 
 
 First classification was made on the basis of theoretical capacity of 
 the ski area by estimating the ski area's Vertical Transport feet/hour 
 (VTF/hr). VTF/hr is the total vertical rise of every ski lift at the area 
 times the rated safe capacity of each lift in skiers per hour. 
 
 Category Over 5,000,000 VTF/hr 
 
 " 1 3,000,000 to 5,000,000 VTF/hr 
 
 " 2 1,000,000 to 3,000,000 VTF/hr 
 
 " 3A 500,000 to 1,000,000 VTF/hr (Daily Operation) 
 
 " 3B 500,000 to 1,000,000 VTF/hr (Weekends & Holidays) 
 
 " 4A Under 500,000 VTF/hr (Daily Operation) 
 
 " 4B Under 500,000 VTF/hr (Weekends & Holidays) 
 
 Sample distribution was computed as shown on Chart A-l 
 
 Chart A-l shows anticipated vs actual sample distribution. The final 
 decision on the actual number of interviews gathered at any area was gov- 
 erned by the estimated number of skiers at the area on the day of the 
 interview. Interviewers obtained a 10$ sample or a minimum of 30 inter- 
 views. Areas were categorized to arrive at some basis for assignments. 
 (As the field work progressed it became very evident that we had over- 
 estimated the average crowds at category 4 areas. 37 of these assignments 
 were subsequently canceled and interviewers instructed to revisit category 
 and 1 areas. This decision, while not strictly in accord with proper 
 sampling technique, was made for practical purposes and does provide a more 
 representative sample than holding to the original design. ) 
 
 Second, 10 days were randomly selected out of the period of the ski 
 season, December 22 to April 15. (7 weekend & Holiday and 3 midweek days) 
 
 Third, using a random selection process, thereby letting every area 
 have an equal chance of being visited on one of the ten days, the interview 
 day for each of the areas was selected. 
 
 Finally, interviewers selected skiers to interview on a systematic basis. 
 Interviews were conducted at all ski lifts at the assigned area in propor- 
 tion to the number of skiers using that lift. Every 10th skier beginning 
 with the 3rd skier in line when the interviewer began interviewing, was 
 asked to participate. When interviewers could determine that a skier had 
 previously been approached in the survey, he was not interviewed again. 
 
CHART A - 1 
 SAMPLE DISTRIBUTION AMONG SKI AREAS 
 
 Sat. 
 wknd 
 
 & 
 Holi, 
 
 
 
 1 
 
 2 
 
 3A 
 
 3B 
 
 4A 
 
 4B 
 
 Aver, 
 skier 
 (expected 
 crowd) 
 
 No. 
 ski 
 areas 
 in cat, 
 
 5,000 
 
 3 
 
 3,200 
 
 8 
 
 1,600 
 
 39 
 
 600 
 
 58 
 
 600 
 
 13 
 
 150 
 
 35 
 
 150 
 
 140 
 
 Category 
 capacity 
 
 15,000 
 25,600 
 62,400 
 34,800 
 7,800 
 5,250 
 21,000 
 
 % 
 
 Aver. 
 
 No. Areas 
 
 
 interview 
 
 in sample 
 
 
 per 
 
 
 
 
 area 
 
 plan 
 
 act. 
 
 8.7 
 
 500 
 
 3 
 
 6 
 
 14.9 
 
 320 
 
 8 
 
 17 
 
 36.3 
 
 160 
 
 39 
 
 39 
 
 20.3 
 
 60 
 
 
 
 
 
 71 
 
 65 
 
 4.5 
 
 60 
 
 
 
 3.0 
 
 30 
 
 
 
 
 
 88 
 
 51 
 
 12.4 
 
 30 
 
 
 
 No. of Int 
 
 erviev 
 
 Estimated 
 
 Actua 
 
 1,480 
 
 3,0C 
 
 2,520 
 
 4,11 
 
 6,180 
 
 4,98 
 
 3,450 
 
 2,78 
 
 760 
 
 48 
 
 510 
 
 76 
 
 2,150 
 
 1,16 
 
 sub total 
 
 17,050 17,28 
 
 Mid- 
 
 
 
 
 
 
 
 
 
 
 week 
 
 
 
 
 
 
 
 
 
 
 
 1,200 
 
 3 
 
 3,600 
 
 17.9 
 
 120 
 
 4 
 
 4 
 
 535 
 
 39 
 
 1 
 
 500 
 
 8 
 
 4,000 
 
 19.9 
 
 50 
 
 12 
 
 12 
 
 595 
 
 63' 
 
 2 
 
 200 
 
 39 
 
 7,800 
 
 38.8 
 
 30 
 
 39 
 
 30 
 
 1,160 
 
 1,06( 
 
 3A 
 
 50 
 
 58 
 
 2,900 
 
 14.5 
 
 30 
 
 15 
 
 9 
 
 435 
 
 30* 
 
 4A 
 
 50 
 
 35 
 
 1,750 
 
 8.7 
 
 30 
 
 9 
 
 7 
 
 260 
 
 21! 
 
 
 
 
 
 
 s 
 
 ub to1 
 
 bal 
 
 2,985 
 
 2,61! 
 
 TOTAL 
 
 20,035 
 
 19,90; 
 
A-5 
 
 g. Summary: Sample design and selection: Every skier skiing at one of 
 the 296 identified ski areas in the described geographic region of North- 
 east North America had equal chances of being interviewed, except that these 
 chances increased as the skiers rate of participation increased. Sample 
 design was controlled to the extent that more interviews were taken at areas 
 expected to attract a larger proportion of total skiing. The final sample 
 contains a more than proportionate share of interviews from Category and 1 
 areas when compared on a capacity basis. However, a more than proportionate 
 share of skiing is done at these areas due to better facilities, more depend- 
 able snow conditions and a longer season. 
 
 Practical considerations will not allow the analysis of the data as a 
 stratified random sample. The design achieved is at least as good as a 
 simple random sample and can be said to be representative. 
 
 ) Field Work : (Stage 1) 
 
 Ten field regions were established and Regional Field Supervisors hired to 
 arry out the Phase I collection. Supervisors with one exception were all college 
 budents and obtained through either the Dean of Men's office or their respective 
 Lacement office. 
 
 Supervisors were hired following a campus interview by a representative of 
 lie research organization. The research director personally interviewed and 
 ired Supervisors at seven of the ten regions. Supervisors were all provided 
 ith a manual of instructions and procedures, specific ski area assignments, and 
 nterview materials for their field interviewers who were selected by these ten 
 upervisors. 
 
 Generally, Interviewers displayed a responsible attitude and proved compe- 
 ent on the slopes. Where isolated cases of poor field procedures or incorrect 
 ollection of data were evident, the work was not utilized and if possible was 
 edone . 
 
 Field Work : (Stage 2) 
 
 Stage 2 work was all accomplished from the home office and under the per- 
 snal supervision of the Director of Research. Mail Questionnaires were 
 srially numbered and recipients were entered on a master mailing list. All 
 ita were coded and entered on punch cards for tabulation. Tabulation was 
 :complished under the personal supervision of the Director of Research. 
 
 Section E of the Appendix contains the detailed instructions to field 
 iterviewers with copies of all recording sheets and a copy of the mail 
 lestionnaire . 
 
A-6 
 
 
 B 
 
 
 
 CALCULATIONS 
 
 
 1) Stati 
 
 stical Confidence Limits: 
 
 
 Sample % 
 
 95$ Confidence limits 
 
 
 
 19,903 skier 1,710 skier 
 sample sample 
 
 951 
 sample 
 
 90 - 10 
 
 + Q.kh% ± 1-5% 
 
 ± 1.9# 
 
 80 - 20 
 
 ± 1.9 
 
 ± 2 - 6 
 
 70 - 30 
 
 + 2.2 
 
 + 3.0 
 
 60 - 40 
 
 + 2.4 
 
 ± 3.2 
 
 50 
 
 + 2.4 
 
 + 3.2 
 
 For example: The computed percentage of skiers who took a ski vacation 
 is 39.2$. This finding was from the smallest sample (951). To determine the 
 statistical limits one would look at the table under "951 sample" and opposite 
 the 1+0% sample percentage. The limits are + 3-2%. Therefore statistical 
 accuracy tells us that chances are 95 in 100 that the true universe percentage 
 is between 36. 0# and 42.4$. 
 
 2) Approximate days of skiing annually : 
 
 Class Mid-point fie Cipro cal 
 
 Under 10 5.0 1/5.0 or .2000 
 
 11-20 15.5 1/15.5 or .0645 
 
 21 - 30 25.5 1/25.5 or .0392 
 
 31-40 35.5 1/35.5 or .0282 
 
 41-60 50.5 1/50.5 or .0198 
 
 61 - 80 70.5 1/70.5 or .0142 
 
 Over 80 90.0 1/90.0 or .0111 
 
A-7 
 
 3) USEASA Average Membership : 
 
 Date Interviews USEASA 
 
 Collected % Membership 
 
 as of: 
 
 Dec. 27 19,165 
 
 Jan. 4 2,050 10. 3# 
 
 Feb. 5 24,272 
 
 Feb. 9 1,220 6.1 
 
 Feb. 11 24,843 
 
 Feb. 17 5,686 28.6 
 
 Feb. 20 25,458 
 
 Feb. 28 1,898 9.5 
 
 Feb. 27 26,011 
 
 Mar. 3 3,233 16.2 
 
 Ma r. 8 26,595 
 
 Mar. 10 1,210 6.1 
 
 Mar. 13 26,745 
 
 Mar. 17 3,475 17-5 
 
 Mar. 29 , 27,528 
 
 Mar. 31 1,131 5.7 
 
 Weighted Average 25,063 
 
 4) Size of Northeast U. S. Market only : 
 
 The calculations below were conducted from data gathered only in the 
 U.S.A. (Canadian data were subtracted). This calculation was necessary to 
 compare size findings from membership data with findings from subscription 
 data since no Canadian subscription data were available. 
 
 Skiers Interviewed 16 655 
 
 Total USEASA Members 2*057 
 
 Percent Membership (after adjustment) £>\ 52% 
 
 Average USEASA Membership 25 186 
 
 Thus, if 25,186 skiers represent 6.52$ of the market: the market size 
 is 386,288 skiers. 
 
A- 8 
 
 Geographic distribution of respondents ; 
 
 The below listing compares the geographic distribution of mail question- 
 naire respondents to the geographic distribution of the compiled mailing list, 
 
 Market Source Region 
 
 
 
 Percent 
 
 
 
 
 Mailing List 
 
 Respondents 
 
 1. Maine 
 
 
 
 4.05$ 
 
 4.94£ 
 
 2. New Hampshire 
 
 
 
 5.96 
 
 5.68 
 
 3. Vermont 
 
 
 
 5.38 
 
 5.46 
 
 4. Eastern Massachusetts & 
 
 Rhode 
 
 Island 
 
 15.50 
 
 16.70 
 
 5. Western Massachusetts 
 
 
 
 4.50 
 
 3.99 
 
 6. Connecticut 
 
 
 
 9.54 
 
 9.77 
 
 7. New York - Adirondack 
 
 
 
 2.69 
 
 3.15 
 
 8. New York - Capitol 
 
 
 
 3.86 
 
 4.41 
 
 9. New York - S.E., N.Y.C. 
 
 & Long 
 
 Island 
 
 13.23 
 
 12.40 
 
 10. New York - Western 
 
 
 
 7.84 
 
 8.83 
 
 11. New Jersey & Eastern Pennsylvania 
 
 5.67 
 
 5.78 
 
 12. Western Pennsylvania 
 
 
 
 2.75 
 
 3.15 
 
 13. Quebec, CANADA 
 
 
 V 
 
 14.70 
 
 11.12 
 
 14. Outside NENA - West 
 
 
 
 2.98 
 
 3.05 
 
 15. Outside NENA - South 
 
 
 
 1.35 
 
 1.57 
 
A-9 
 
 Sub- sample of 100 non-respondents 
 
 A sub-sample of 100 of the 759 non-respondents was selected by random 
 sthods in late May. 68 were contacted by telephone or follow up questionnaires 
 id answered in 4 selected questions plus the classification section. 19 non- 
 sspondents were not reached due to the unavailable listing of a telephone num- 
 3r for the name spelled as we had recorded it. Experience indicates that a 
 irge portion of these 19 most likely spelled their names some other way. 13 
 3re not reached due to failure to answer the telephone after four to six attempts, 
 
 Findings of the sub-sample as compared to the main sample are shown below. 
 
 " Did you take a winter ski vacation during the current (1962-63) ski season? " 
 
 Main Sample Sub- sample 
 
 YES 39. 2# 26. 8# 
 
 NO 58. 2# 68.8£ 
 
 No answer 2.6£ 4.4# 
 
 If yes, " How many days were you away from home during this vacation ?" 
 Days Away Main Sample Sub- sample 
 
 4-5 39. 7# 28. 3# 
 
 6 - 7 19.4 30.2 
 
 8-9 16.9 
 
 10-11 10.9 9.7 
 
 12 - 13 1.9 14.4 
 
 14-15 2.1 5.6 
 
 16 - 17 1.6 1.5 
 
 18 - 19 .1 
 
 20 & over 3.5 
 
 No answer 3.5 
 
 MEAN 7.8 Days 7.6 Days 
 
 " Do other members of your immediate family ski ? " 
 
 Main Sample Sub-sample 
 
 YES 67.6£ 64.2£ 
 
 N0 31.9£ 31. 8£ 
 
 No answer .5<g 4.0<g 
 
A-10 
 
 " Do you ski during work or school weekdays ?" 
 Holidays and vacation periods .) 
 
 YES 
 
 NO 
 
 No answer 
 
 ( Other than weekends , 
 
 Skier Classification 
 
 SINGLE 
 MARRIED 
 FEMALE 
 MALE 
 
 Occupation 
 
 Students 
 
 Professional, etc, 
 
 Clerk, etc. 
 
 Managers, etc. 
 
 Craftsmen, etc. 
 
 Housewife 
 
 Sales 
 
 Labor 
 
 Military 
 
 No answer 
 
 Age 
 
 12-18 
 19-22 
 23 - 30 
 31 - 40 
 41-50 
 Over 50 
 
 Median 
 
 Education (23 Years Old and Older) 
 
 Grade School 
 Some High School 
 Graduated High School 
 Some College 
 Graduated College 
 Post Graduate Work 
 
 Main Sample 
 
 Sub- sample 
 
 31. 2# 
 
 26. 5£ 
 
 64.6 
 
 67.5 
 
 4.2 
 
 6.0 
 
 Main Sample 
 
 Sub- sample 
 
 59. 6£ 
 
 62. 0# 
 
 40.3 
 
 38.0 
 
 38.1 
 
 38.7 
 
 61.9 
 
 61.3 
 
 Main Sample 
 
 Sub- sample 
 
 28.8% 
 
 52 M 
 
 28.7 
 
 15.3 
 
 11.6 
 
 4.3 
 
 6.6 
 
 11.5 
 
 7.1 
 
 6.6 
 
 7.4 
 
 6.5 
 
 4.3 
 
 2.0 
 
 2.5 
 
 1.2 
 
 .8 
 
 - 
 
 2.1 
 
 *" 
 
 Main Sample 
 
 Sub- sample 
 
 19.6$ 
 
 39. 7£ 
 
 19.9 
 
 12.0 
 
 22.7 
 
 16.8 
 
 22.6 
 
 11.4 
 
 13.2 
 
 16.8 
 
 2.0 
 
 3.3 
 
 26.2 Years 
 
 21.6 Years 
 
 Main Sample 
 
 Sub- sample 
 
 .5# 
 
 _ 
 
 4.0 
 
 2.8 
 
 11.7 
 
 28.6 
 
 21.2 
 
 17.1 
 
 31.5 
 
 31.2 
 
 31.1 
 
 20.3 
 
A-ll 
 
 Income (except students) 
 
 Under $ 6,000 annually 
 $ 6,000 to $ 9,999 annually 
 $10,000 to $14,999 annually 
 Over $15,000 annually 
 No answer 
 
 Median 
 
 Geographic Distribution 
 
 Main Sample 
 
 Sub- sample 
 
 33.52 
 
 13.32 
 
 23.5 
 
 39.1 
 
 21.8 
 
 14.4 
 
 18.1 
 
 16.0 
 
 3.1 
 
 17.1 
 
 $8,550 
 
 $8,870 
 
 Sample size 
 
 1 
 2 
 3 
 4 
 5 
 6 
 
 7 
 
 8 
 
 9 
 
 10 
 11 
 12 
 13 
 14 
 15 
 
 Maine 
 
 New Hampshire 
 
 Vermont 
 
 Eastern Mass. & R. I. 
 
 Western Massachusetts 
 
 Connecticut 
 
 N.I. - Adirondack 
 
 N.T. - Capitol 
 
 N.Y. - SE; NYC & Long Island 
 
 N.T. - West 
 
 New Jersey & East. Penn. 
 
 Western Pennsylvania 
 
 Quebec, CANADA 
 
 Outside NENA - West 
 
 Outside NENA - South 
 
 Questionnaires 
 
 Main Sample 
 
 Sub- sample 
 
 Sent 
 
 
 
 1710 
 
 951 
 
 68 
 
 2.82 
 
 3.92 
 
 5.32 
 
 4.4 
 
 3.8 
 
 9.4 
 
 3.0 
 
 3.0 
 
 3.2 
 
 17.4 
 
 17.9 
 
 17.9 
 
 3.6 
 
 3.3 
 
 3.0 
 
 11.6 
 
 11.5 
 
 10.7 
 
 2.2 
 
 2.6 
 
 7.6 
 
 3.8 
 
 4.5 
 
 - 
 
 17.7 
 
 17.3 
 
 12.0 
 
 6.3 
 
 7.1 
 
 1.3 
 
 7.4 
 
 7.3 
 
 6.4 
 
 3.1 
 
 3.0 
 
 1.3 
 
 11.1 
 
 8.6 
 
 16.3 
 
 3.3 
 
 3.1 
 
 3.9 
 
 2.2 
 
 3.1 
 
 1.7 
 
A-12 
 
 TABLES: 
 
 The following tables summarize selected findings concerning various sub- 
 classifications of the skier market. Data is shown in terms of "skiers" or 
 "skier-days accounted for". Figures shown under the heading "By percent of 
 skier-days accounted for:" automatically weight findings by. the respondent's 
 reported frequency of participation. Findings concerning expenditures, pre- 
 ferences and habits are more meaningful when expressed in these terms. In 
 simple terms this weighting gives the skier a voice in proportion to the 
 amount of skiing he/she does. Figures should be interpreted thusly. 
 
 Looking at Table A, one can say: "Skiers who account for 83.2% of the 
 skier-days spent by Frequent Skiers are willing to pay an additional 10% for 
 not having to wait in a lift line over 5 minutes ." 
 
 and 
 
 Looking at Table C, one can say: "Skiers who account for 66.3% of the 
 skier-days spent by skiers age 31 - 40 generally use the area eating facilities , 
 
 and 
 
 Looking at Table D, one can say: "Skiers who account for 100% of the 
 skier-days spent by skiers with an annual income of over $ 15.000 (19»7% of 
 all skier-days, as shown on page 44) spend an average of $ 26.49 per skier/ 
 day when on a weekend ski trip." 
 

 A-13 
 
 TABLE A 
 Selected findings 
 categorized by ski habits: 
 (By percent of skier-days accounted 
 
 for:) 
 
 
 All 
 skiers 
 
 Vacation 
 skiers 
 
 Midweek 
 skiers 
 
 Frequent 
 skiers 
 
 Sub- sample size 
 
 951 
 
 510 
 
 378 
 
 526 
 
 All challenging 
 
 kl.3% 
 
 48. 0$ 
 
 46. 3# 
 
 53. 8$ 
 
 o Moderate bumps 
 
 (X CO 
 
 h cu Rolling terrain 
 
 CO Ch 
 
 43.7 
 11.0 
 
 40.4 
 9.2 
 
 41.0 
 10.6 
 
 35.9 
 
 8.7 
 
 0) 
 
 £ Smooth slopes 
 
 9.2 
 
 1.5 
 
 1.3 
 
 .8 
 
 Steep, difficult 
 
 20.3 
 
 24.9 
 
 21.4 
 
 27.7 
 
 c o All types 
 
 cti CO 
 
 28.9 
 
 32.5 
 
 30.4 
 
 34.0 
 
 i-, co Moderate, easy 
 
 CO <H > J 
 
 £ Beginners slopes 
 
 45.8 
 4.2 
 
 39.8 
 2.2 
 
 44.4 
 2.9 
 
 36.5 
 1.0 
 
 Usually stay overnight 
 when on a ski trip 
 
 51.2 
 
 68.8 
 
 50.8 
 
 51.1 
 
 Willing to pay additional 
 20$ for chair lift 
 
 40.9 
 
 43.3 
 
 43.1 
 
 39.5 
 
 Willing to pay additional 
 10$ for 5 minute line 
 
 81.9 
 
 81.6 
 
 83.9 
 
 83.2 
 
 Under - $10 
 
 •H hi 
 
 w t! $11 - $20 
 J h $21 - $30 
 
 CO CO 
 
 23.5 
 37.2 
 21.1 
 
 17.8 
 37.0 
 24.1 
 
 24.9 
 29.9 
 22.5 
 
 27.4 
 36.5 
 18.4 
 
 % u $31 - $40 
 ° g $41 - $50 
 
 CO <ij 
 
 6.0 
 2.0 
 
 7.5 
 2.7 
 
 6.6 
 3.2 
 
 5.5 
 1.9 
 
 |5 $51 - $60 
 
 •H Q 
 
 1.2 
 
 1.2 
 
 1.3 
 
 .8 
 
 1 g Over - $60 
 
 w *2 No answer 
 -p 
 
 1.3 
 
 7.6 
 
 2.4 
 7.3 
 
 1.8 
 9.8 
 
 1.2 
 
 8.4 
 
 MEAN 
 
 $18.06 
 
 $20.37 
 
 $19.14 
 
 $16.90 
 
TABLE B 
 
 Selected findings 
 
 categorized by social characteristics: 
 
 (By percent of skiers) 
 
 A-14 
 
 (By percent of skier-days accounted for:) 
 
 
 Male 
 skiers 
 
 Female 
 skiers 
 
 Single 
 skiers 
 
 Married 
 skiers 
 
 Family 
 skiers 
 
 Sub- sample size 
 
 644 
 
 308 
 
 603 
 
 348 
 
 647 
 
 Have taken ski lessons 
 from certified school 
 
 43.4* 
 
 61.12 
 
 44.92 
 
 57.92 
 
 52.52 
 
 Took ski vacation '63 
 
 39.2 
 
 39.4 
 
 34.6 
 
 46.1 
 
 42.4 
 
 Ski during midweek 
 
 32.0 
 
 29.9 
 
 25.3 
 
 40.0 
 
 32.7 
 
 Use area eating facilities 
 
 69.72 
 
 72.42 
 
 73.02 
 
 66.42 
 
 69.92 
 
 All challenging 
 
 0) 
 
 g Moderate bumps 
 
 CD <D 
 
 9 ^ Rolling terrain 
 
 CO CD 
 
 £ Smooth slopes 
 
 47.5 
 
 41.1 
 
 8.7 
 
 1.4 
 
 28.2 
 
 49.0 
 
 15.9 
 
 6.2 
 
 48.9 
 
 39.0 
 
 7.8 
 
 3.2 
 
 28.2 
 
 51.7 
 
 15.8 
 
 2.6 
 
 40.6 
 
 43.6 
 
 12.4 
 
 2.3 
 
 Steep, difficult 
 
 .g 1 All types 
 
 u u 
 
 & ^ Moderate, easy 
 
 ^ Beginners slopes 
 
 23.9 
 
 30.1 
 
 43.6 
 
 1.4 
 
 12.7 
 26.3 
 50.3 
 10.1 
 
 23.7 
 31.2 
 
 40.5 
 3.8 
 
 14.4 
 25.0 
 
 54.9 
 4.9 
 
 21.8 
 
 29.1 
 
 44.4 
 
 3.7 
 
 Usually stay overnight 
 when on a ski trip 
 
 48.8 
 
 56.2 
 
 53.2 
 
 47.7 
 
 48.5 
 
 Willing to pay additional 
 202 for chair 
 
 43.2 
 
 36.0 
 
 40.3 
 
 42.0 
 
 40.0 
 
 Willing to pay additional 
 102 for no line 
 
 84.5 
 
 76.6 
 
 81.7 
 
 82.2 
 
 82.5 
 
 Would go to area to 
 watch ski competition 
 
 41.3 
 
 49.7 
 
 49.4 
 
 34.5 
 
 44.4 
 
 Avoids skiing at area 
 with ski competition 
 
 42.7 
 
 a. 6 
 
 39 3 
 
 47.4 
 
 43.7 
 
TABLE C 
 
 Selected findings 
 
 categorized by age: 
 
 (By percent of skiers; ) 
 
 A-15 
 
 
 12-18 
 
 19 - 30 
 
 31 - 40 
 
 Over 40 
 
 Sub-sample size 
 
 220 
 
 378 
 
 202 
 
 152 
 
 Have taken ski lessons 
 from certified school 
 
 3B.1% 
 
 47. 6# 
 
 51. 8$ 
 
 70. 3£ 
 
 Took ski vacation 1963 
 
 33.9 
 
 36.0 
 
 43.0 
 
 49.5 
 
 Ski during midweek 
 
 25.1 
 
 24.9 
 
 35.9 
 
 49.9 
 
 Belongs to ski club 
 
 26.2 
 
 17.9 
 
 23.2 
 
 21.7 
 
 Belongs to USEASA 
 
 5.8 
 
 5.3 
 
 10.5 
 
 11.2 
 
 (By percent of skier-days accounted for: ) 
 
 Use area eating facilities 
 
 75.5* 
 
 71.4* 
 
 66.3* 
 
 67.1* 
 
 Usually stay overnight 
 when on a ski trip 
 
 33.6 
 
 59.8 
 
 55.9 
 
 48.7 
 
 Willing to pay additional 
 20£ for chair 
 
 35.C 
 
 42.3 
 
 39.6 
 
 47.4 
 
 Willing to pay additional 
 10$ for no line 
 
 82.3 
 
 83.1 
 
 76.9 
 
 85.5 
 
 Would go to area to watch 
 ski competition 
 
 63.6 
 
 43.7 
 
 32.2 
 
 32.2 
 
 Avoids skiing at area 
 with ski competition 
 
 38.6 
 
 38.6 
 
 48.0 
 
 49.3 
 
 ^ Under - $10 
 
 1 
 
 | * $11 - $20 
 
 © "\ 
 
 c .§ $21 - $30 
 » -p a w $31 - $40 
 
 © 'H U 
 
 | $ * $41 - $50 
 
 •H CO 
 
 1 jj $51 - $60 
 S & Over - $60 
 No answer 
 
 MEAN 
 
 53.1 
 
 25.4 
 
 3.2 
 
 1.8 
 
 .5 
 
 1.4 
 1.0 
 
 13.6 
 $11.22 
 
 19.1 
 
 45.5 
 
 20.2 
 
 6.6 
 
 1.3 
 
 1.1 
 
 
 
 4.2 
 
 $17.05 
 
 9.4 
 38.6 
 33.2 
 7.4 
 3.4 
 1.0 
 2.5 
 4.5 
 
 $22.23 
 
 10.5 
 27.0 
 
 33.6 
 8.6 
 
 3.9 
 
 1.3 
 
 3.9 
 
 11.2 
 
 $24.30 
 
TABLE D 
 
 Selected findings 
 
 categorized by income: 
 (except students) 
 
 (By percent of skiers;) 
 
 
 Under 
 $6,000 
 
 $6,000 
 9,999 
 
 $10,000 
 14,999 
 
 Over 
 $15,000 
 
 Sub- sample size 
 
 206 
 
 174 
 
 127 
 
 130 
 
 Have taken ski lessons 
 from certified school 
 
 43.22 
 
 54.92 
 
 55.32 
 
 71.62 
 
 Took a ski vacation 1963 
 
 30.3 
 
 34.0 
 
 44.0 
 
 60.7 
 
 Ski during midweek 
 
 23.3 
 
 27.8 
 
 36.1 
 
 47.8 
 
 Belongs to ski club 
 
 21.6 
 
 20.3 
 
 16.3 
 
 25.0 
 
 Belongs to USEASA 
 
 5.6 
 
 11.8 
 
 9.3 
 
 9.7 
 
 (By percent of skier-days accounted for: ) 
 
 Use area eating facilities 
 
 70.82 
 
 66.02 
 
 70.92 
 
 73.12 
 
 Usually stay overnight 
 when on a ski trip 
 
 56.8 
 
 55.1 
 
 59.8 
 
 57.7 
 
 Willing to pay additional 
 202 for chair 
 
 39.3 
 
 33.3 
 
 43.3 
 
 54.6 
 
 Willing to pay additional 
 102 for no line 
 
 81.0 
 
 75.2 
 
 85.0 
 
 90.8 
 
 Would go to an area to 
 watch ski competition 
 
 a. 7 
 
 43.1 
 
 28.3 
 
 26.9 
 
 Avoids skiing at area 
 with ski competition 
 
 39.3 
 
 40.2 
 
 52.8 
 
 47.7 
 
 Under - $10 
 
 § >> $11 - $20 
 ^i a) 
 
 CD T) 
 
 % > $21 - $30 
 If J $31 -$40 
 
 CD -r\ U 
 
 £ 3 £, $41 - $50 
 
 -P CO 
 
 •H CO 
 
 "S rt $51 - $60 
 fl <8 Over - $60 
 No answer 
 
 MEAN 
 
 17.9 
 
 52.9 
 
 19.4 
 
 3.9 
 
 1.5 
 
 .5 
 
 3.9 
 $16.62 
 
 13.8 
 
 41.3 
 
 28.2 
 
 8.6 
 
 2.9 
 
 1.2 
 
 4.0 
 $19.67 
 
 6.3 
 
 36.2 
 
 33.8 
 
 11.0 
 
 1.6 
 
 1.6 
 
 2.4 
 
 7.1 
 
 $23.21 
 
 6.1 
 
 23.1 
 
 39.2 
 
 9.2 
 
 5.4 
 
 1.5 
 
 4.6 
 
 10.7 
 
 $26.49 
 
TABLE E 
 
 Selected findings 
 
 categorized by occupation: 
 
 (By percent of skier-days accounted for: ) 
 
 A-17 
 
 
 Housewives, 
 Professional, 
 Managerial, 
 and Sales 
 
 Craftsmen, 
 clerks, 
 Labor & 
 Military 
 
 Students 
 
 Sub-sample size 
 
 449 
 
 189 
 
 293 
 
 All challenging 
 o c Moderate bumps 
 
 (X 0) 
 
 o u 
 
 co «2 Rolling terrain 
 
 h 
 
 Smooth slopes 
 
 31. 4# 
 51.6 
 13.6 
 2.4 
 
 43. 4# 
 38.6 
 10.6 
 5.3 
 
 56. 0# 
 33.8 
 7.2 
 1.4 
 
 Steep, difficult 
 
 Q> 
 
 •S rt All types 
 
 o> «h Moderate, easy 
 
 Eh CD 
 
 Beginners slopes 
 
 14.7 
 
 30.5 
 
 49.6 
 
 4.7 
 
 16.9 
 
 27.5 
 
 47.6 
 
 5.3 
 
 30.4 
 
 28.0 
 
 38.2 
 
 2.7 
 
 Usually stay overnight 
 when on a ski trip 
 
 59.0 
 
 51.8 
 
 38.2 
 
 Willing to pay additional 
 20$ for a chair 
 
 41.0 
 
 43.4 
 
 39.2 
 
 Willing to pay additional 
 10# for no line 
 
 82.6 
 
 80.0 
 
 81.7 
 
 Would go to area to 
 watch ski competition 
 
 33.6 
 
 41.3 
 
 60.8 
 
 Avoids skiing at area 
 with ski competition 
 
 44- 1 
 
 43.9 
 
 38.6 
 
TABLE F 
 
 Rate of participation of skiers by Geographic Regional Markets: 
 
 Days of skiing annually 
 
 
 Under 
 10 
 
 11-20 
 
 21-30 
 
 31-40 
 
 41-60 
 
 61-80 
 
 Over 
 80 
 
 Mean 
 Days 
 
 
 % 
 
 of 
 
 % 
 
 % 
 
 % 
 
 % 
 
 of 
 /o 
 
 
 Northeast 
 North America 
 
 60.7$ 
 
 20. 3# 
 
 9.5% 
 
 6.3$ 
 
 2.2$ 
 
 .5% 
 
 .5% 
 
 12.7 
 
 l) Maine 
 
 44.2 
 
 21.4 
 
 12.0 
 
 10.9 
 
 8.8 
 
 .8 
 
 1.9 
 
 19.1 
 
 2) New Hampshire 
 
 46.1 
 
 18.3 
 
 15.3 
 
 12.5 
 
 5.3 
 
 .8 
 
 1.7 
 
 18.1 
 
 3) Vermont 
 
 26.2 
 
 27.1 
 
 19.6 
 
 14.1 
 
 6.8 
 
 1.5 
 
 4.7 
 
 24.2 
 
 4) East. Mass. & RI 
 
 59.8 
 
 22.2 
 
 11.7 
 
 4.7 
 
 1.3 
 
 .1 
 
 .2 
 
 12.0 
 
 5) West. Mass. 
 
 43.8 
 
 22.6 
 
 19.8 
 
 7.5 
 
 4.8 
 
 .7 
 
 .8 
 
 16.9 
 
 6) Connecticut 
 
 64.8 
 
 21.4 
 
 7.7 
 
 4.4 
 
 1.2 
 
 .2 
 
 .3 
 
 11.1 
 
 7) N.Y. -Adirondack 
 
 43.2 
 
 27.9 
 
 14.1 
 
 9.2 
 
 3.6 
 
 1.6 
 
 .4 
 
 16.6 
 
 8) N.Y. -Capitol 
 
 57.7 
 
 17.3 
 
 11.3 
 
 12.2 
 
 1.2 
 
 - 
 
 .3 
 
 13.6 
 
 9) N.Y.-SE; NYC & LI 
 
 71.3 
 
 17.5 
 
 6.6 
 
 2.9 
 
 1.2 
 
 .3 
 
 .2 
 
 10.0 
 
 10) N.Y. -West 
 
 47.1 
 
 20.8 
 
 16.1 
 
 9.8 
 
 5.0 
 
 .2 
 
 1.0 
 
 16.7 
 
 11) N.J. & Ea. Perm. 
 
 69.4 
 
 16.4 
 
 8.4 
 
 4.3 
 
 1.0 
 
 .5 
 
 - 
 
 10.3 
 
 12) West. Perm. 
 
 61.7 
 
 21.6 
 
 9.2 
 
 4.4 
 
 2.0 
 
 1.1 
 
 - 
 
 12.1 
 
 13) Quebec, Canada 
 
 42.4 
 
 23.7 
 
 15.2 
 
 11.5 
 
 6.2 
 
 .6 
 
 .4 
 
 17.7 
 
 14) Southern U.S. 
 
 79.0 
 
 13.9 
 
 4.2 
 
 2.1 
 
 .8 
 
 - 
 
 - 
 
 8.3 
 
 15) Western U.S. 
 
 66.1 
 
 16.7 
 
 10.2 
 
 3.3 
 
 1.9 
 
 1.0 
 
 .8 
 
 12.0 
 
TABLE H 
 Occupation of skiers by Geographic Region (Skier Residence) 
 
 A-19 
 
 GEOGRAPHIC REGION 
 
 CD 
 « 
 
 •H 
 CO 
 
 CD 
 H 
 
 a. 
 co 
 
 Housewives 
 Professional 
 Managerial 
 and Sales 
 
 Craftsmen, 
 Clerical, 
 Labor & Mil. 
 
 CO 
 
 u 
 
 CD 
 
 CO 
 
 o 
 
 
 
 % 
 
 % 
 
 % 
 
 % 
 
 All skiers 
 
 951 
 
 46.0$ 
 
 22.0$ 
 
 28.8 
 
 2.2$ 
 
 l) Maine 
 
 47 
 
 25.3 
 
 34.5 
 
 37.8 
 
 2.4 
 
 2) New Hampshire 
 
 54 
 
 24.3 
 
 22.3 
 
 45.8 
 
 7.6 
 
 3) Vermont 
 
 52 
 
 33.8 
 
 22.0 
 
 40.8 
 
 3.4 
 
 4) East. Mass. & R.I. 
 
 159 
 
 53.5 
 
 15.5 
 
 30.6 
 
 .4 
 
 5) Western Massachusetts 
 
 38 
 
 34.3 
 
 12.9 
 
 43.0 
 
 9.8 
 
 6) Connecticut 
 
 95 
 
 56.6 
 
 12.7 
 
 28.2 
 
 2.5 
 
 7) N.Y. - Adirondack 
 
 30 
 
 14.7 
 
 6.5 
 
 71.5 
 
 7.3 
 
 8) N.Y. - Capitol 
 
 42 
 
 44.9 
 
 35.3 
 
 19.8 
 
 - 
 
 9) N.Y. - SE; NYC & Long Is. 
 
 116 
 
 51.0 
 
 21.4 
 
 25.4 
 
 2.2 
 
 0) N.Y. - Western 
 
 84 
 
 50.3 
 
 26.5 
 
 22.3 
 
 .8 
 
 .1) New Jersey & East. Perm. 
 
 54 
 
 54.7 
 
 22.8 
 
 21.7 
 
 .8 
 
 .2) Western Pennsylvania 
 
 30 
 
 55.1 
 
 26.1 
 
 16.8 
 
 2.0 
 
 -3) Quebec, Canada 
 
 106 
 
 37.4 
 
 31.5 
 
 28.7 
 
 2.4 
 
 ,4) Outside NENA - West 
 
 29 
 
 27.9 
 
 42.2 
 
 29.9 
 
 - 
 
 .5) Outside NENA - South 
 
 15 
 
 79.6 
 
 20.4 
 
 - 
 
 - 
 
A-20 
 
 TABLE I 
 Ski Areas in Northeast North America by Capacity 
 
 The following table contains data collected by personal interview at most 
 
 of the ski areas listed. Interviewers obtained information on vertical rise 
 
 \ 
 and rated safe capacity in skiers per hour for each lift. This data has been 
 
 consolidated into Vertical Transport Feet per hour. VTF/hr is the total of 
 
 each lift's hourly capacity multiplied by its vertical ascent. 
 
 Capacity in terms of the number of skiers which an area can support at one 
 time (referred to as a "comfortable crowd") can be calculated by estimating ski- 
 ing demand. Skiing demand is the amount of vertical feet of skiing required by 
 one skier to satisfy his/her needs. The more proficient a skier the larger his/ 
 her skiing demand becomes. Skiing demand will vary between 1,700 VTF/hr (about 
 12,000 VTF/per skier per day) for advanced skiers and 800 VTF/hr (5,600 VTF/per 
 skier day) for beginners based on a 7 hour day. Therefore, for any given VTF/hr 
 figure comfortable crowd calculations depend upon skiing demand which can be 
 estimated by knowing the type of terrain serviced by the lifts. An overall 
 average skiing demand sufficient for any given regional capacity calculations 
 is 1,143 VTF/hr (8,000 VTF/day) per skier. 
 
 Where ski areas listed were not visited data has been obtained from other 
 sources or estimated (shown in parenthesis). Rope tow capacity figures are 
 educated guesses. 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 by 
 Capacity By Category In Percent Of Total Regional Capacity 
 
 A-21 
 
 REGION 
 
 o 
 
 OTAL 
 
 Cable 
 
 Rope 
 
 Total 
 
 Cable 
 
 Rope 
 
 Total 
 
 Cable 
 
 Rope 
 
 Total 
 
 Cable 
 
 Rope 
 
 Total 
 
 Cable 
 
 Rope 
 
 Total 
 
 Cable 
 
 Rope 
 
 Total 
 
 17.0 
 
 17.0 
 37.5 
 37.5 
 29.5 
 29.5 
 
 8.4 
 
 1.4 
 9.8 
 
 3.2 
 3.0 
 6.2 
 
 95.6 
 
 4.4 
 100.0 
 
 o 
 
 B 
 
 en 
 
 31.1 
 2.3 
 
 33.4 
 
 21.6 
 21.6 
 18.7 
 
 18.7 
 
 20.0 
 
 4.4 
 
 24.4 
 
 .6 
 1.3 
 1.9 
 
 92.0 
 
 8.0 
 100.0 
 
 H 
 
 to 
 & 
 
 29.6 
 
 29.6 
 
 30.2 
 
 1.5 
 
 31.7 
 
 21.8 
 
 5.7 
 
 27.5 
 
 7.7 
 
 3.5 
 
 11.2 
 
 89.3 
 10.7 
 
 100.0 
 
 H 
 
 30.9 
 
 30.9 
 
 40.5 
 .2 
 
 40.7 
 
 15.1 
 
 2.0 
 
 17.1 
 
 8.5 
 2.8 
 
 11.3 
 
 95.0 
 5.0 
 
 100.0 
 
 en 
 
 CO 
 
 en en 
 en m 
 
 en tJ 
 
 3 
 
 3.9 
 49.4 
 53.3 
 
 46.7 
 46.7 
 
 3.9 
 
 96.1 
 
 100.0 
 
 enS 
 wo 
 
 o 
 
 « 
 
 •H 
 
 •d w 
 3 o 
 H I 
 o Eh 
 Ceo 
 
 3 
 
 S c 
 
 fcd 
 
 en • 
 
 w o 
 
 11.3 
 12.0 
 
 23.3 
 
 41.9 
 19.0 
 
 60.9 
 
 9.1 
 
 3.2 
 
 12.3 
 
 2.1 
 1.4 
 3.5 
 
 64.4 
 
 35.6 
 
 100.0 
 
 CO 
 
 o 
 
 o 
 
 o 
 o 
 
 Ph 
 
 a 
 
 a 
 
 H 
 W 
 
 en 
 e-< 
 
 o 
 
 en 
 W 
 o 
 
 B 
 
 en 
 
 M 
 
 Q 
 
 43.0 
 
 8.8 
 
 51.8 
 
 24.1 
 
 7.6 
 
 31.7 
 
 9.C 
 
 7.5 
 
 16.5 
 
 76.1 
 
 23.9 
 
 100. 
 
 41.8 
 
 47.6 
 
 30.4 
 
 4.3 
 
 34.7 
 
 14.8 
 
 2.9 
 
 17.7 
 
 87.0 
 
 13.0 
 
 100.0 
 
 o 
 
 Eh 
 
 en 
 
 °3 
 
 3 
 
 o 
 
 &H 
 
 to 
 
 s 
 
 <53 
 
 >J3 
 
 ;xs 
 
 Oh 
 
 36.6 
 15.6 
 52.2 
 
 23.8 
 11.5 
 35.3 
 
 5.2 
 
 7.3 
 
 12.5 
 
 65.6 
 34.4 
 
 100.0 
 
 End 
 
 cote 
 ^2 
 
 39.7 
 19.9 
 59.6 
 
 9.1 
 20.9 
 30.0 
 
 10.0 
 
 .3 
 
 10.3 
 
 58.9 
 
 41.1 
 
 100.0 
 
 o 
 
 B 
 
 16.1 
 
 16.1 
 
 53.3 
 
 53.3 
 
 19.2 
 2.6 
 
 21.8 
 
 8.4 
 .4 
 
 97.0 
 
 3.0 
 
 100.0 
 
 RAND 
 
 CABLE 
 
 16.2 
 
 8.S 
 
 11.3 
 
 5.1 
 
 .1 
 
 6.5 
 
 6.7 
 
 5.8 
 
 6.9 
 
 1.7 
 
 14.5 
 
 83.6 
 
 OTAL 
 
 ROPE 
 
 .8 
 
 .8 
 
 1.4 
 
 .3 
 
 1.2 
 
 3.6 
 
 2.1 
 
 .9 
 
 3.6 
 
 1.2 
 
 .5 
 
 16.4 
 
 
 TOTAL 
 
 17.0 
 
 9.6 
 
 12.7 
 
 5.4 
 
 1.3 
 
 10.1 
 
 8.8 
 
 6.7 
 
 10.5 
 
 2.9 
 
 15.0 
 
 100.0 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 SUMMARY 
 
 A-22 
 
 CAT. 
 
 # 
 
 AREAS 
 in 
 CAT. 
 
 Vertical Transport Feet Per Hour 
 
 Cable 
 
 Rope 
 
 TOTAL 
 
 Vacation 
 Oriented 
 
 NORTHERN VERMONT 
 
 
 
 1 
 
 5,686,000 
 
 
 
 5,686,000 
 
 1 
 
 2 
 3 
 
 4 
 TOTAL 
 
 3 
 5 
 4 
 8 
 21 
 
 12,528,500 
 9,843,800 
 2,806,370 
 1,052,000 
 
 31,916,670 
 
 480,000 
 
 998,000 
 
 1,478,000 
 
 33,394,670 
 
 12,528,500 
 4,143,000 
 
 22,357,500 
 
 SOUTHERN VERMONT 
 
 
 
 1 
 
 5,866,600 
 
 432,000 
 
 
 6,298,600 
 
 1 
 
 1 
 
 4,083,000 
 
 
 
 4,083,000 
 
 2 
 
 2 
 
 3,530,500 
 
 
 
 3,530,500 
 
 3 
 
 6 
 
 3,766,800 
 
 824,500 
 
 
 
 4 
 
 2 
 
 115,200 
 
 250,000 
 
 
 
 TOTAL 
 
 12 
 
 17,362,100 
 
 1,506,500 
 
 18,868,600 
 
 13,912,100 
 
 NEW HAMPSHIRE 
 
 1 
 2 
 
 3 
 4 
 
 TOTAL 
 
 2 
 
 5 
 
 9 
 
 15 
 
 31 
 
 7,354,500 
 7,501,900 
 5,408,700 
 1,898,650 
 22,163,750 
 
 383,500 
 1,425,000 
 
 875,500 
 2,684,000 
 
 24,847,750 
 
 4,054,500 
 
 3,555,400 
 
 2,300,700 
 
 360,000 
 
 10,270,600 
 
 MAINE 
 
 1 
 2 
 
 3 
 
 4 
 
 TOTAL 
 
 1 
 3 
 3 
 6 
 13 
 
 3,279,670 
 
 4,305,000 
 
 1,601,500 
 
 905,000 
 
 10,001,170 
 
 25,000 
 211,200 
 297,800 
 534,000 
 
 10,625,170 
 
 3,279,670 
 
 3,279,670 
 
 EASTERN MASSACHUSETTS & RHODE ISLAND 
 
 3 
 4 
 TOTAL 
 
 100,000 
 100,000 
 
 1,255,000 
 1,188,000 
 2,443,000 
 
 2,543,000 
 
SUMMARY 
 
 # 
 
 CAT. 
 
 AREAS 
 
 Vertical Transport Feet Per Hour 
 
 
 
 in 
 
 
 Vacation 
 
 
 CAT. 
 
 Cable | Rope | TOTAL | 
 
 Oriented 
 
 BERKSHIRES including NORTH-WEST CONN. & EAST-CENTRAL NEW YORK 
 
 1 
 2 
 3 
 4 
 TOTAL 
 
 4 
 
 3 
 
 16 
 
 2,250,000 
 
 8,376,400 
 
 1,809,400 
 
 420,000 
 
 12,855,800 
 
 2,400,000 
 
 3,792,500 
 
 640,000 
 
 285,000 
 
 7,117,500 
 
 19,973,300 
 
 CATSKILLS and POCONOS 
 
 2 
 3 
 4 
 TOTAL 
 
 6 
 
 7 
 10 
 
 23 
 
 7,429,500 
 
 4,174,500 
 
 1,558,500 
 
 13,162,500 
 
 1,527,800 
 1,315,000 
 1,292,000 
 4,134,800 
 
 17,297,300 
 
 ADIRONDACKS 
 
 2 
 3 
 4 
 TOTAL 
 
 4 
 7 
 8 
 
 19 
 
 5,509,750 
 
 4,016,200 
 
 1,948,000 
 
 11,473,950 
 
 760,000 
 
 568,000 
 
 386,500 
 
 1,714,500 
 
 13,188,450 
 
 CENTRAL & WESTERN NEW YORK 
 
 5,428,550 
 
 5,428,550 
 
 2,733,750 
 566,000 
 256,000 
 
 3,555,750 
 
 A-23 
 
 2 
 3 
 
 4 
 TOTAL 
 
 6 
 
 9 
 
 9 
 
 24 
 
 7,526,000 
 
 4,907,500 
 
 1,062,500 
 
 13,496,000 
 
 3,222,500 
 2,365,800 
 1,495,500 
 7,083,800 
 
 20,579,800 
 
 WESTERN PENNSYLVANIA, WEST VIRGINIA & MARYLAND 
 
 2 
 3 
 4 
 TOTAL 
 
 2 
 3 
 2 
 
 7 
 
 2,253,250 
 515,000 
 570,000 
 
 3,338,250 
 
 1,130,000 
 
 1,188,000 
 
 15,000 
 
 2,333,000 
 
 5,671,250 
 
 QUEBEC, CANADA 
 
 1 
 2 
 3 
 4 
 TOTAL 
 
 1 
 
 9 
 
 10 
 
 10 
 
 30 
 
 4,730,000 
 
 15,696,250 
 
 5,636,900 
 
 2,462,000 
 
 28,525,150 
 
 770,000 
 129,000 
 899,000 
 
 29,424,150 
 
 4,730,000 
 
 4,015,750 
 
 535,000 
 
 1,051,500 
 
 10,332,250 
 
 GRAND 
 TOTAL 
 
 204 
 
 164,395,340 32,018,100 196,413,440 69,136,420 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 
 CAPACITY in VTF/hr. 
 
 Skier Destination - NORTHERN VERMONT 
 
 A-24 
 
 
 6? 
 
 CO 
 
 -p 
 
 (HtH 
 
 O-H 
 
 
 
 
 «3 
 
 < 
 
 c 
 
 
 ClJ 
 
 Ski Area 
 
 o 
 
 0) 
 
 -p 
 
 o 
 
 CD (D 
 
 3 CTJ 
 SO 
 
 Vertical r 
 Cable 
 
 transport Ft/ 
 Rope 
 
 /hr. 
 TOTAL 
 
 •H 
 ■P 
 
 cC 
 O 
 
 a 
 > 
 
 < 
 >> 
 Q 
 
 Mt. Mansfield 
 
 
 
 6 
 
 5,686,000 
 
 
 5,686,000 
 
 X 
 
 
 Killington Basin 
 
 1 
 
 8 
 
 4,728,500 
 
 
 4,728,500 
 
 X 
 
 
 Sugar Bush Valley 
 
 1 
 
 4 
 
 4,090,000 
 
 
 4,090,000 
 
 X 
 
 
 Jay Peak 
 
 1 
 
 4 
 
 3,710,000 
 
 
 3,710,000 
 
 X 
 
 
 Okemo Mountain 
 
 2 
 
 5 
 
 2,720,000 
 
 
 2,720,000 
 
 
 
 Pico Peak 
 
 2 
 
 4 
 
 2,215,000 
 
 
 2,215,000 
 
 X 
 
 
 Mad River Glen 
 
 2 
 
 3 
 
 1,928,000 
 
 
 1,928,000 
 
 X 
 
 
 Smugglers Notch 
 
 2 
 
 3 
 
 1,530,000 
 
 
 1,530,000 
 
 
 
 Mt. Ascutney 
 
 2 
 
 2 
 
 1,450,800 
 
 
 1,450,800 
 
 
 
 Mt. Tom & Suicide Six 
 
 3 
 
 3 
 
 965,000 
 
 
 965,000 
 
 
 
 Middlebury Snow Bowl 
 
 3 
 
 1 
 
 720,000 
 
 180,000 
 
 900,000 
 
 
 
 Burke Mountain 
 
 3 
 
 1 
 
 783,870 
 
 60,000 
 
 843,870 
 
 
 
 Lyndon Outing Club 
 
 3 
 
 1 
 
 337,500 
 
 240,000 
 
 577,500 
 
 
 
 Birdseye Mountain 
 
 4 
 
 1 
 
 390,000 
 
 30,000 
 
 420,000 
 
 
 
 Skyline Ski Area 
 
 4 
 
 1 
 
 42,000 
 
 300,000 
 
 342,000 
 
 
 X 
 
 High Pond 
 
 4 
 
 1 
 
 (300,000) 
 
 (38,000) 
 
 (338,000) 
 
 
 
 Norwich University 
 
 4 
 
 1 
 
 320,000 
 
 
 320,000 
 
 
 
 Judgement Ridge 
 
 4 
 
 
 
 (300,000) 
 
 (300,000) 
 
 
 
 Chelsea 
 
 4 
 
 
 
 120,000 
 
 120,000 
 
 
 
 Pecham 
 
 4 
 
 
 
 120,000 
 
 120,000 
 
 
 
 Underhill Bowl 
 
 4 
 
 
 
 90,000 
 
 90,000 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 CAPACITY in VTF/hr. 
 
 Skier Destination - SOUTHERN VERMONT 
 
 A-25 
 
 
 h 
 
 to 
 -p 
 
 «HCh 
 
 O-H 
 
 1-3 
 
 
 
 
 u 
 
 
 a) 
 0) 
 
 Ski Area 
 
 o 
 
 M 
 
 J3H 
 
 Vertical 
 
 Transport Ft/hr. 
 
 •H 
 -P 
 
 < 
 
 
 -P 
 
 O 
 
 11-° 
 SO 
 
 Cable 
 
 Rope 
 
 TOTAL 
 
 O 
 
 cd 
 
 Mt . Snow 
 
 
 
 9 
 
 5,866,600 
 
 432,000 
 
 6,298,600 
 
 X 
 
 
 Big Bromley 
 
 1 
 
 7 
 
 4,083,000 
 
 
 4,083,000 
 
 X 
 
 
 Stratton Mountain 
 
 2 
 
 3 
 
 2,140,000 
 
 
 2,140,000 
 
 X 
 
 
 Magic Mountain 
 
 2 
 
 2 
 
 1,390,500 
 
 
 1,390,500 
 
 X 
 
 
 Prospect Mountain 
 
 3 
 
 2 
 
 924,000 
 
 50,000 
 
 974,000 
 
 
 
 Hogback Mountain 
 
 3 
 
 2 
 
 750,000 
 
 150,000 
 
 900,000 
 
 
 
 Carinthia 
 
 3 
 
 2 
 
 875,000 
 
 
 875,000 
 
 
 
 Dutch Hill 
 
 3 
 
 2 
 
 650,200 
 
 10, 500 
 
 660,700 
 
 
 
 Snow Valley 
 
 3 
 
 2 
 
 567,600 
 
 30,000 
 
 597,600 
 
 
 
 Pine Top 
 
 3 
 
 
 
 (584,000) 
 
 (584,000) 
 
 
 
 Burrington Hill 
 
 4 
 
 1 
 
 (115,200) 
 
 (100,000) 
 
 (215,000) 
 
 
 
 Living Memorial Pk. 
 
 4 
 
 
 
 150,000 
 
 150,000 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 
 CAPACITY in VTF/hr. 
 
 A-26 
 
 Skier Destination - NEW HAMPSHIRE 
 
 
 
 n5 
 
 
 
 b 
 
 (0 
 O-H 
 
 H 
 
 
 
 
 e 
 
 
 ct5 
 0) 
 
 Ski Area 
 
 o 
 
 to 
 
 0) 
 
 -p 
 cd 
 o 
 
 SO 
 
 Vertical 
 Cable 
 
 Transport Ft 
 Rope 
 
 /hr. 
 
 TOTAL 
 
 •H 
 -P 
 «3 
 O 
 
 u 
 
 8 
 
 Cannon Mountain 
 
 1 
 
 7 
 
 4,054,500 
 
 
 4,054,500 
 
 X 
 
 
 Mt. Sunapee State Park 
 
 1 
 
 6 
 
 3,300,000 
 
 
 3,300,000 
 
 
 
 Wildcat Mountain 
 
 2 
 
 3 
 
 2,118,000 
 
 
 2,118,000 
 
 X 
 
 
 Gunstock Mountain 
 
 2 
 
 4 
 
 1,901,000 
 
 96,000 
 
 1,997,000 
 
 
 X 
 
 Cranmore Mountain 
 
 2 
 
 4 
 
 1,437,400 
 
 
 1,437,400 
 
 X 
 
 
 Mt. Whittier 
 
 2 
 
 2 
 
 1,056,000 
 
 240,000 
 
 1,296,000 
 
 
 
 King Ridge 
 
 2 
 
 2 
 
 989,500 
 
 47,500 
 
 1,037,000 
 
 
 
 Moose Mountain 
 
 3 
 
 2 
 
 846,000 
 
 144,000 
 
 990,000 
 
 
 
 Black Mountain 
 
 3 
 
 3 
 
 890, 700 
 
 
 890,700 
 
 X 
 
 
 Pat's Peak 
 
 3 
 
 2 
 
 795,000 
 
 51,000 
 
 846,000 
 
 
 
 Waterville Valley 
 
 3 
 
 2 
 
 720,000 
 
 40,000 
 
 760,000 
 
 
 
 Brookline 
 
 3 
 
 1 
 
 (600,000) 
 
 (150,000) 
 
 (750,000) 
 
 
 
 Fitzwilliam Inn 
 
 3 
 
 
 
 740,000 
 
 740,000 
 
 X 
 
 
 Mittersill Resort 
 
 3 
 
 2 
 
 670,000 
 
 
 670,000 
 
 X 
 
 
 Dartmouth Skiway 
 
 3 
 
 2 
 
 607,000 
 
 
 607,000 
 
 
 
 Temple Mountain 
 
 3 
 
 1 
 
 280,000 
 
 300,000 
 
 580,000 
 
 
 
 Snowcrest 
 
 4 
 
 2 
 
 (450,000) 
 
 
 (450,000) 
 
 
 
 Arrowhead Skiway 
 
 4 
 
 2 
 
 390,000 
 
 
 390,000 
 
 
 
 Pinnacle Mountain 
 
 4 
 
 1 
 
 92,650 
 
 225,000 
 
 317,650 
 
 
 
 King Pine Resort 
 
 4 
 
 1 
 
 270,000 
 
 36,000 
 
 306,000 
 
 X 
 
 
A-27 
 
 Skier Destination - NEW HAMPSHIRE (Cont.) 
 
 Ski Area 
 
 o 
 so 
 
 (D 
 
 -p 
 
 O 
 
 CO 
 
 -p 
 
 O -H 
 1-1 
 
 u 
 
 <D CD 
 .OrH 
 
 So 
 
 Vertical Transport Ft/hr. 
 Cable Rope 
 
 u 
 a 
 
 o 
 
 •H 
 -P 
 
 o 
 
 
 Intervale 
 
 Oak Hill 
 
 Mt. Kidder 
 
 Tenney Mountain 
 
 Whit's Tows 
 
 Twin Tows 
 
 Page Hill 
 
 Inn at Steel Hill 
 
 Rockhouse Mt. Farm 
 
 Kings Grant Inn 
 
 East Hill Farm 
 
 4 
 4 
 
 4 
 
 4 
 4 
 4 
 4 
 4 
 4 
 4 
 4 
 
 (280,000) 
 (240,000) 
 
 (176,000) 
 
 200,000 
 
 (145,000) 
 (100,000) 
 40,000 
 37,500 
 32,000 
 30,000 
 30,000 
 
 (280,000) 
 (240,000) 
 200,000 
 (176,000) 
 (145,000) 
 (100,000) 
 40,000 
 37,500 
 32,000 
 30,000 
 30,000 
 
SKI AREAS - NORTHEAST NORTH .AMERICA 
 
 by 
 
 CAPACITY in VTF/hr. 
 
 A-28 
 
 Skier Destination - MINE (Except Aroostook Co.) 
 
 Ski Area 
 
 o 
 
 <D 
 -P 
 
 O 
 
 Number of 
 Cable Lifts 
 
 Vertical 
 Cable 
 
 Transport Ft 
 Rope 
 
 /hr. 
 
 TOTAL 
 
 0) 
 
 < 
 
 c 
 o 
 
 •H 
 -P 
 
 a 
 
 o 
 
 (6 
 d> 
 U 
 < 
 
 Sugar loaf Mountain 
 
 1 
 
 5 
 
 3,279,670 
 
 
 3,279,670 
 
 X 
 
 
 Pleasant Mountain 
 
 2 
 
 4 
 
 1,940,000 
 
 
 1,940,000 
 
 
 
 Sunday River 
 
 2 
 
 2 
 
 1,228,000 
 
 25,000 
 
 1,253,000 
 
 
 
 Mt . Abram 
 
 2 
 
 2 
 
 1,137,000 
 
 
 1,137,000 
 
 
 
 Saddleback Mountain 
 
 3 
 
 2 
 
 767,500 
 
 
 767,500 
 
 
 
 Lost Valley 
 
 3 
 
 1 
 
 334,000 
 
 211,200 
 
 545,200 
 
 
 X 
 
 Bald Mountain 
 
 3 
 
 1 
 
 500,000 
 
 
 500,000 
 
 
 
 Chisolm Park 
 
 4 
 
 1 
 
 495,000 
 
 
 495,000 
 
 
 X 
 
 Tit comb Memorial 
 
 4 
 
 1 
 
 200,000 
 
 125,000 
 
 325,000 
 
 
 
 Sky High 
 
 4 
 
 1 
 
 210,000 
 
 
 210,000 
 
 
 
 Pinnacle Mountain 
 
 4 
 
 
 
 70,800 
 
 70,800 
 
 
 
 Spruce Mountain 
 
 4 
 
 
 
 57,000 
 
 57,000 
 
 
 
 Hurricane Slopes 
 
 4 
 
 
 
 (45,000) 
 
 (45,000) 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 CAPACITY in VTF/hr. 
 
 A-29 
 
 Skier Destination — EASTERN MASSACHUSETTS & RHODE ISLAND 
 
 Ski Area 
 
 b 
 
 o 
 
 <D 
 +> 
 
 O 
 
 Number of 
 Cable Lifts 
 
 Vertical ' 
 Cable 
 
 ?ransport Ft/ 
 Rope 
 
 'hr. 
 
 TOTAL 
 
 u 
 
 < 
 
 o 
 
 •H 
 -P 
 n5 
 o 
 
 > 
 
 CD 
 U 
 < 
 
 a 
 
 Priest's Ski Tows 
 
 3 
 
 
 
 775,000 
 
 775,000 
 
 
 
 Boston Hill 
 
 3 
 
 1 
 
 (100,000) 
 
 (480,000) 
 
 '(580,000) 
 
 
 X 
 
 Blue Hills 
 
 4 
 
 
 
 400,000 
 
 400,000 
 
 
 X 
 
 Lock's Tows 
 
 4 
 
 
 
 (150,000) 
 
 (150,000) 
 
 
 
 Diamond Hill, R.I. 
 
 4 
 
 
 
 130,000 
 
 130,000 
 
 
 X 
 
 Hartwell Hill 
 
 4 
 
 
 
 (108,000) 
 
 (108,000) 
 
 
 
 Jericho Hill 
 
 4 
 
 
 
 100,000 
 
 100,000 
 
 
 
 Bradford 
 
 4 
 
 
 
 300,000 
 
 300,000 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 CAPACITY in VTF/hr. 
 
 A-30 
 
 Skier Destination - BERKSHIRES (Western Massachusetts, Northwest 
 
 
 
 
 Connecticut & 
 
 East-central 
 
 New York) 
 
 0) 
 
 
 Ski Area 
 
 b 
 
 o 
 
 <D 
 ■P 
 
 o 
 
 Number of 
 Cable Lifts 
 
 Vertical 
 Cable 
 
 Transport Ft 
 Rope 
 
 /hr. 
 
 TOTAL 
 
 u 
 
 < 
 
 c 
 
 
 •H 
 •P 
 
 
 
 U 
 
 < 
 
 a 
 
 Bousquet ' s 
 
 1 
 
 4 
 
 2,250,000 
 
 2,400,000 
 
 4,650,000 
 
 
 X 
 
 Catamount, N. Y. 
 
 2 
 
 4 
 
 2,603,000 
 
 48,000 
 
 2,651,000 
 
 
 
 Thunder Mountain 
 
 2 
 
 3 
 
 1,711,000 
 
 7,000 
 
 1,718,000 
 
 
 X 
 
 Mt. Tom 
 
 2 
 
 2 
 
 1,098,400 
 
 350,000 
 
 1,448,400 
 
 
 X 
 
 Springfield Ski 
 Club (Blanford) 
 
 2 
 
 
 
 1,440,000 
 
 1,440,000 
 
 
 
 Mohawk Mountain, Conn. 
 
 2 
 
 2 
 
 740,000 
 
 640,000 
 
 1,380,000 
 
 
 
 Mt. Wachusett 
 
 2 
 
 2 
 
 1,224,000 
 
 
 1,224,000 
 
 
 X 
 
 Berkshire Snow Basin 
 
 2 
 
 1 
 
 550,000 
 
 637,500 
 
 1,187,500 
 
 
 
 Powder Hill, Conn. 
 
 2 
 
 2 
 
 450,000 
 
 670,000 
 
 1,120,000 
 
 
 X 
 
 Otis Ridge 
 
 3 
 
 3 
 
 726,900 
 
 100,000 
 
 826,900 
 
 
 
 Jiminy Peak 
 
 3 
 
 2 
 
 567,500 
 
 
 567,500 
 
 
 
 Chickley Alp 
 
 9 
 
 -> 
 
 
 
 540,000 
 
 540,000 
 
 
 
 Petersburg Pass 
 
 3 
 
 1 
 
 515,000 
 
 
 515,000 
 
 
 
 Jug End Barn 
 
 4 
 
 1 
 
 (150,000) 
 
 (165,000) 
 
 (315,000) 
 
 
 
 Mohawk Trail 
 
 4 
 
 2 
 
 (270,000) 
 
 
 (270,000) 
 
 
 
 Oak & Spruce Resort 
 
 4 
 
 
 
 (120,000) 
 
 (120,000) 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 CAPACITY in VTF/hr. 
 
 A-31 
 
 Skier Destination - CATSKILL MOUNTAINS and POCONO MOUNTAINS 
 
 
 fr 
 
 Cb-lCH 
 
 O -H 
 
 
 
 
 c6 
 
 U 
 
 < 
 
 G 
 O 
 
 cd 
 
 Ski Area 
 
 o 
 
 <D 
 O 
 
 <D d> 
 
 So 
 
 Vertical 
 Cable 
 
 Transport Ft/ 
 Rope 
 
 'hr. 
 
 TOTAL 
 
 •H 
 -P 
 
 o 
 
 
 Bellayre Mountain 
 
 2 
 
 5 
 
 2,210,000 
 
 191,800 
 
 2,401,800 
 
 X 
 
 
 Hunter Mountain 
 
 2 
 
 3 
 
 1,950,000 
 
 50,000 
 
 2,000,000 
 
 X 
 
 
 Highmount Ski Center 
 
 2 
 
 2 
 
 508,750 
 
 830,000 
 
 1,338,750 
 
 
 
 Plattkill Mountain 
 
 2 
 
 1 
 
 775,000 
 
 360,000 
 
 1,135,000 
 
 
 
 Sterling Forest 
 
 2 
 
 3 
 
 975,000 
 
 80,000 
 
 1,055,000 
 
 
 X 
 
 Davos Ski Resort 
 
 2 
 
 5 
 
 1,010,750 
 
 16,000 
 
 1,026,750 
 
 X 
 
 
 Elk Mountain, Perm. 
 
 3 
 
 2 
 
 968,000 
 
 
 968,000 
 
 
 
 Fahnestock State Park 
 
 3 
 
 2 
 
 626,000 
 
 300,000 
 
 926,000 
 
 
 
 Mount Cathalia 
 
 3 
 
 3 
 
 740,000 
 
 150,000 
 
 890,000 
 
 
 
 Big Boulder, Penn. 
 
 3 
 
 2 
 
 722,500 
 
 150,000 
 
 872,500 
 
 
 
 Silvermine 
 
 3 
 
 2 
 
 318,000 
 
 381,000 
 
 699,000 
 
 
 
 Roxbury Ski Center 
 
 3 
 
 1 
 
 560,000 
 
 24,000 
 
 584,000 
 
 
 
 Birch Hill 
 
 3 
 
 1 
 
 240,000 
 
 310,000 
 
 550,000 
 
 
 
 Mount Storm 
 
 4 
 
 1 
 
 (200,000) 
 
 (250,000) 
 
 (450,000) 
 
 
 
 Holiday Mountain 
 
 4 
 
 1 
 
 (211,500) 
 
 (203,000) 
 
 (414,500) 
 
 
 
 Cave Mountain 
 
 4 
 
 1 
 
 400,000 
 
 
 400,000 
 
 
 
 Ski Land 
 
 4 
 
 1 
 
 120,000 
 
 270,000 
 
 390,000 
 
 
 
 Phoenicia 
 
 4 
 
 
 
 375,000 
 
 375,000 
 
 
 
 Concord Hotel 
 
 4 
 
 2 
 
 162,000 
 
 64,000 
 
 226,000 
 
 
 
 Grossinger's 
 
 4 
 
 1 
 
 125,000 
 
 80,000 
 
 205,000 
 
 
 
 Buck Hill, Penn. 
 
 4 
 
 2 
 
 (200,000) 
 
 
 (200,000) 
 
 
 
 Shaynes 
 
 4 
 
 1 
 
 (140,000) 
 
 
 (140,000) 
 
 
 
 Youngs Gap 
 
 4 
 
 
 
 50,000 
 
 50,000 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 CAPACITY in VTF/hr. 
 
 A-32 
 
 Skier Destination - ADIRONDACK MOUNTAINS, NORTHERN NEW YORK 
 
 Ski Area 
 
 o 
 
 CD 
 
 ber of 
 le Lifts 
 
 Vertical 
 
 Transport Ft/hr. 
 
 CD 
 
 < 
 
 
 •H 
 -P 
 
 CD 
 
 U 
 
 •< 
 
 
 -P 
 
 CtJ 
 
 O 
 
 
 Cable 
 
 Rope 
 
 TOTAL 
 
 
 
 >> 
 03 
 Q 
 
 Whiteface Mountain 
 
 2 
 
 4 
 
 2,733,750 
 
 
 2,733,750 
 
 X 
 
 
 Big Tupper 
 
 2 
 
 2 
 
 1,264,000 
 
 
 1,264,000 
 
 
 
 Old Forge 
 
 2 
 
 3 
 
 1,152,000 
 
 100,000 
 
 1,252,000 
 
 
 
 Oak Mountain 
 
 2 
 
 1 
 
 360,000 
 
 660,000 
 
 1,020,000 
 
 
 
 Gore Mountain 
 
 3 
 
 1 
 
 720,000 
 
 255,000 
 
 975,000 
 
 
 
 Moon Valley 
 
 3 
 
 2 
 
 691,500 
 
 
 691,500 
 
 
 
 Willard Mountain 
 
 3 
 
 1 
 
 546,200 
 
 63,000 
 
 609,200 
 
 
 
 Alpine Meadows 
 
 3 
 
 3 
 
 600,000 
 
 
 600,000 
 
 
 
 Silver Bells 
 
 3 
 
 1 
 
 480,000 
 
 100,000 
 
 580,000 
 
 
 
 Fawn Ridge 
 
 3 
 
 4 
 
 566,000 
 
 
 566,000 
 
 X 
 
 
 Royal Mountain 
 
 3 
 
 1 
 
 (412,500) 
 
 (150,000) 
 
 (562,500) 
 
 
 
 Paleface 
 
 4 
 
 2 
 
 426,000 
 
 
 426,000 
 
 
 
 West Mountain 
 
 4 
 
 1 
 
 315,000 
 
 54,000 
 
 369,000 
 
 
 
 Hickory Hill 
 
 4 
 
 1 
 
 300,000 
 
 60,000 
 
 360,000 
 
 
 
 Mt . Pisgah 
 
 4 
 
 1 
 
 216,000 
 
 112,500 
 
 328,500 
 
 
 
 Scotts Cobble 
 
 4 
 
 1 
 
 256,000 
 
 
 256,000 
 
 X 
 
 
 St. Lawrence Snow Bowl 
 
 4 
 
 1 
 
 240,000 
 
 
 240,000 
 
 
 
 Harvey Mountain 
 
 4 
 
 1 
 
 195,000 
 
 
 195,000 
 
 
 
 Beartown Slopes 
 
 4 
 
 
 
 160,000 
 
 160,000 
 
 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 
 CAPACITY in VTF/hr. 
 
 A-33 
 
 Skier Destination - CENTRAL & WESTERN NEW YORK 
 
 
 
 
 including NORTHWEST PENN. 
 
 
 rt 
 
 
 
 
 
 
 
 
 a> 
 
 < 
 
 
 
 b 
 
 O «H 
 
 
 
 
 
 
 (6 
 <D 
 
 Ski Area 
 
 o 
 
 0> 
 
 (1) <D 
 £1 rH 
 
 Vertical 
 
 Transport Ft/hr. 
 
 •H 
 ■P 
 
 u 
 
 < 
 
 
 ■p 
 
 g -5 
 
 
 
 
 
 
 !>> 
 
 
 o 
 
 3 «J 
 
 S o 
 
 Cable 
 
 Rope 
 
 TOTAL 
 
 £ 
 
 a 
 
 Snow Ridge 
 
 2 
 
 A 
 
 1,965,000 
 
 912,500 
 
 2,877,500 
 
 
 
 Holiday Valley 
 
 2 
 
 3 
 
 1,875,000 
 
 295,000 
 
 2,170,000 
 
 
 X 
 
 Greek Peak 
 
 2 
 
 2 
 
 1,340,000 
 
 300,000 
 
 1,640,000 
 
 
 X 
 
 Song Mountain 
 
 2 
 
 3 
 
 1,621,000 
 
 
 1,621,000 
 
 
 X 
 
 Glenwood Acres 
 
 2 
 
 2 
 
 565,000 
 
 875,000 
 
 1,440,000 
 
 
 X 
 
 Brantling 
 
 2 
 
 1 
 
 (160,000) 
 
 (840,000) 
 
 (1,000,000) 
 
 
 
 Toggenburg 
 
 3 
 
 2 
 
 880,000 
 
 42,500 
 
 922,500 
 
 
 
 Mystic Mountain 
 
 3 
 
 2 
 
 804,000 
 
 100,000 
 
 904,000 
 
 
 X 
 
 Blue Mountain 
 
 3 
 
 1 
 
 (900,000) 
 
 
 (900,000) 
 
 
 
 Labrador 
 
 3 
 
 1 
 
 550,000 
 
 300,000 
 
 850,000 
 
 
 
 Swain Slopes 
 
 3 
 
 2 
 
 840,000 
 
 
 840,000 
 
 
 
 Kissing Bridge 
 
 3 
 
 2 
 
 684,000 
 
 80,000 
 
 764,000 
 
 
 X 
 
 Allegany State Park 
 
 3 
 
 1 
 
 128,750 
 
 595,400 
 
 724,150 
 
 
 
 Camp Mystic, Perm. 
 
 3 
 
 
 
 (700,000) 
 
 (700,000) 
 
 
 
 Mt. Otsego 
 
 3 
 
 1 
 
 120,750 
 
 547,900 
 
 668,650 
 
 
 
 Denton Hill State Park 
 
 4 
 
 2 
 
 (437,500) 
 
 
 (437,500) 
 
 
 
 Perm. 
 
 
 
 
 
 
 
 
A-34 
 
 Skier Destination - 
 
 CENTRAL & WESTERN NEW YORK (Cont.) 
 including NORTHWEST PENN. 
 
 
 b 
 
 -p 
 
 °3 
 
 
 
 
 <ti 
 
 u 
 < 
 
 o 
 
 CD 
 0) 
 
 Ski Area 
 
 o 
 
 
 Vertical Transport Ft/hr. 
 
 •H 
 -P 
 cO 
 
 o 
 
 
 
 cti 
 O 
 
 CO 
 SO 
 
 Cable 
 
 Rope 
 
 TOTAL 
 
 £ 
 
 & 
 
 Gunset Ski Bowl 
 
 4 
 
 1 
 
 275,000 
 
 100,000 
 
 375,000 
 
 
 
 Zippo Ski Slope, Penn. 
 
 4 
 
 
 
 (350,000) 
 
 (350,000) 
 
 
 
 Drumlins 
 
 4 
 
 
 
 300,000 
 
 300,000 
 
 
 X 
 
 Snow Peak, Penn. 
 
 4 
 
 
 
 300,000 
 
 300,000 
 
 
 
 Joe Berry Ski Sh. 
 
 4 
 
 
 
 (150,000) 
 
 (150,000) 
 
 
 X 
 
 Frost Ridge 
 
 4 
 
 
 
 (115,000) 
 
 (115,000) 
 
 
 
 Snowy Acres 
 
 4 
 
 
 
 (105,500) 
 
 (105,500) 
 
 
 
 Jamestown Ski Club 
 
 4 
 
 
 
 75,000 
 
 75,000 
 
 
 
 Skier Destination - SOUTHWEST PENNSYLVANIA, 
 
 WEST VIRGINIA & MARYLAND 
 
 Seven Springs 
 
 2 
 
 5 
 
 1,694,250 
 
 450,000 
 
 2,144,250 
 
 Laurel Mountain 
 
 2 
 
 1 
 
 559,000 
 
 680,000 
 
 1,239,000 
 
 Skimont 
 
 3 
 
 1 
 
 385,000 
 
 248,000 
 
 633,000 
 
 Weiss Knob, W. Va. 
 
 3 
 
 
 
 555,000 
 
 555,000 
 
 Marsh Mountain 
 
 3 
 
 1 
 
 130,000 
 
 385,000 
 
 515,000 
 
 Hidden Valley 
 
 4 
 
 2 
 
 360,000 
 
 15,000 
 
 375,000 
 
 Camp F. T. Soles 
 
 4 
 
 1 
 
 210,000 
 
 
 210,000 
 
SKI AREAS - NORTHEAST NORTH AMERICA 
 
 by 
 CAPACITY in VTF/hr. 
 
 A-35 
 
 Skier Destination - QUEBEC, 
 
 SANA DA 
 
 
 
 ctf 
 
 
 
 b 
 
 1 of 
 Lifts 
 
 
 
 
 u 
 
 < 
 
 
 
 
 Ski Area 
 
 o 
 
 <D 
 
 -P 
 
 o 
 
 i ^i 
 
 3 rt 
 
 Vertical 1 
 Cable 
 
 Yansport Ft/ 
 Rope 
 
 hr. 
 
 Total 
 
 •H 
 -P 
 
 
 
 
 Mt. Tremblant 
 
 1 
 
 6 
 
 4,730,000 
 
 
 4,730,000 
 
 X 
 
 
 Mt. Gabriel 
 
 2 
 
 7 
 
 2,625,750 
 
 
 2,625,750 
 
 X 
 
 X 
 
 Mt. Or ford 
 
 2 
 
 3 
 
 2,390,000 
 
 
 2,390,000 
 
 
 
 Mt. Sutton 
 
 2 
 
 4 
 
 2,025,000 
 
 
 2,025,000 
 
 
 
 Hills 69 to 72 
 
 2 
 
 6 
 
 1,841,000 
 
 
 1,841,000 
 
 
 X 
 
 Avila 
 
 2 
 
 4 
 
 1,714,500 
 
 
 1,714,500 
 
 
 X 
 
 Ste. Marguerite 
 
 2 
 
 7 
 
 1,390,000 
 
 
 1,390,000 
 
 X 
 
 
 Mt. Blanc 
 
 2 
 
 3 
 
 1,355,000 
 
 
 1,355,000 
 
 
 
 Mt. Habitant 
 
 2 
 
 3 
 
 1,320,000 
 
 
 1,320,000 
 
 
 X 
 
 Glen Mountain 
 
 2 
 
 2 
 
 1,035,000 
 
 
 1,035,000 
 
 
 
 Hillcrest-Green Timber 
 
 3 
 
 2 
 
 781,150 
 
 
 781,150 
 
 
 
 Mt. Alouette 
 
 3 
 
 2 
 
 750,000 
 
 
 750,000 
 
 
 
 Hills 40 & 80 
 
 3 
 
 2 
 
 665,000 
 
 
 665,000 
 
 
 
 Chantecler 
 
 3 
 
 3 
 
 (547,500) 
 
 (100,000) 
 
 (647,500) 
 
 
 
 La Marquise 
 
 3 
 
 1 
 
 451,250 
 
 195,000 
 
 646,250 
 
 
 
 Mt. Jasper 
 
 3 
 
 1 
 
 640,000 
 
 
 640,000 
 
 
 
 Mt. Ste. Agathe, 
 
 3 
 
 2 
 
 590,000 
 
 
 590,000 
 
 
 
A-36 
 
 Skier Destination - QUEBEC, CANADA (Cont.) 
 
 Ski Area 
 
 Big Hill 
 Mt. Plant e 
 Sun Valley 
 Grey Rocks Inn 
 Mt. Castor 
 Summit Sauvage 
 Alpino Lodge 
 Bellevue 
 Chalet Hill 
 Mt. Belair 
 Laurent ide Inn 
 Manor House 
 Beaver Lake 
 
 b 
 
 o 
 
 ID 
 
 0} 
 
 -p 
 
 O-H 
 
 0) 0) 
 £1 H 
 
 Vertical 
 
 Transport Ft/hr. 
 
 CO 
 U 
 
 < 
 
 § 
 
 •H 
 -P 
 
 cti 
 CD 
 
 u 
 
 -P 
 
 O 
 
 S- 
 SO 
 
 Cable 
 
 Rope 
 
 TOTAL 
 
 ct$ 
 o 
 
 a 
 
 3 
 
 1 
 
 (290,000) 
 
 (290,000) 
 
 (580,000) 
 
 
 
 3 
 
 1 
 
 387,000 
 
 185,000 
 
 572,000 
 
 
 
 3 
 
 3 
 
 535,000 
 
 
 535,000 
 
 X 
 
 
 4 
 
 2 
 
 450,000 
 
 
 450,000 
 
 X 
 
 
 4 
 
 2 
 
 408,000 
 
 
 408,000 
 
 
 
 4 
 
 1 
 
 399,000 
 
 
 399,000 
 
 
 
 4 
 
 1 
 
 (382,500) 
 
 
 (382,500) 
 
 
 
 4 
 
 2 
 
 350,000 
 
 
 350,000 
 
 X 
 
 
 4 
 
 1 
 
 (140,000) 
 
 
 (140,000) 
 
 
 
 4 
 
 1 
 
 135,000 
 
 
 135,000 
 
 
 
 4 
 
 1 
 
 130,000 
 
 
 130,000 
 
 X 
 
 
 4 
 
 1 
 
 67,500 
 
 54,000 
 
 121,500 
 
 X 
 
 
 4 
 
 
 
 75,000 
 
 75,000 
 
 
 X 
 
TABLE J 
 
 Geographic Regional Percentage for Vacation and Midweek Skiers 
 
 A-37 
 
 
 
 Percent 
 
 GEOGRAPHIC REGION 
 
 Sample 
 
 Vacation*" 
 
 Midweek 
 
 
 Size 
 
 Skiers 
 
 Skiers 
 
 Northeast North America 
 
 951 
 
 45. 9£ 
 
 31.2% 
 
 1) Maine 
 
 47 
 
 33.2 
 
 45.9 
 
 2) New Hampshire 
 
 54 
 
 25.0 
 
 33.0 
 
 3) Vermont 
 
 52 
 
 23.3 
 
 49.9 
 
 4) Eastern Mass. & Rhode Island 
 
 159 
 
 47.4 
 
 32.4 
 
 5) Western Massachusetts 
 
 38 
 
 51.5 
 
 40.0 
 
 6) Connecticut 
 
 93 
 
 47.4 
 
 34.6 
 
 7) N.Y. - Adirondack 
 
 30 
 
 28.3 
 
 43.3 
 
 8) N.Y. - Capitol 
 
 42 
 
 22.9 
 
 31.3 
 
 9) N.Y. - SE; N.Y.C. & Long Island 
 
 118 
 
 53.9 
 
 16.5 
 
 0) N.Y. - Western 
 
 84 
 
 40.2 
 
 33.6 
 
 1) New Jersey & East. Penn. 
 
 55 
 
 62.7 
 
 37.3 
 
 2) Western Pennsylvania 
 
 30 
 
 44.7 
 
 19.5 
 
 3) Quebec, CANADA 
 
 106 
 
 39.1 
 
 33.4 
 
 4) Outside NENA - West 
 
 29 
 
 69.3 
 
 22.8 
 
 5) Outside NENA - South 
 
 15 
 
 63.9 
 
 30.4 
 
 Reported taking a ski vacation at least once in the past two ski seasons, 
 
A-38 
 
 THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 
 Dear Interviewer; 
 
 We are happy to have you participate with us in a comprehensive survey 
 to measure and describe the skier market in Northeast North America. 
 
 The usefulness of the data collected depends entirely upon you. This 
 research can have a far reaching effect upon the future of recreational ski- 
 ing. It is your responsibility alone to see that proper procedures are 
 followed, and correct answers recorded. 
 
 The study is sponsored by the Department of Resources & Economic Develop- 
 ment of the State of New Hampshire and is being conducted by Sno-engineering, 
 Inc. under a research contract from the U. S. Department of Commerce Area 
 Redevelopment Administration. 
 
 Funds have been provided for this research by: 
 
 The United States Department of Commerce 
 
 The New York State Joint Legislative Committee on Winter Tourists 
 
 The State of New Hampshire Department of Resources & Eco. Dev. 
 
 The Maine Department of Economic Development 
 
 The Eastern Ski Area Operators Association 
 
 The United States Eastern Amateur Ski Association 
 
 You have been selected by your Regional Field Supervisor because you 
 are interested in the work and can be depended upon to fulfill your commitment. 
 
 We have attempted to anticipate problems you will encounter and laid down 
 policies and procedure to guide your assignment. However, the interview sit- 
 uation in West Virginia will vary considerably from that in Quebec and you 
 must adjust accordingly. The important consideration is that the skiers you 
 interview are selected without bias and representative of the crowd at the 
 area on the day of your visit. 
 
 It is your task to obtain the ski area owner's or manager's cooperation. 
 There is no compulsory participation by either area management or skier. We 
 have laid the groundwork by letter, the rest is up to you. Please maintain 
 a pleasant attitude and manner when interviewing skiers. Their response 
 depends upon your presentation. 
 
 Welcome to our project and Good Luck, 
 
 Sincerely, 
 
 Ted Farwell 
 Director of Research 
 
A-39 
 Copy of letter to Ski Area Managers 
 
 Dear 
 
 Sno-engineering, Inc. is conducting a skier market study under a research 
 contract from the U.S. Department of Commerce, Area Redevelopment Administration. 
 It is the objective of this study "to obtain quantitative and qualitative data 
 concerning the winter recreation activity of skiing for the purpose of assessing 
 the economic potential and orderly expansion potential for facilities serving 
 this market". We plan on interviewing 20,000 skiers. Each skier will be asked 
 several factual questions designed to obtain a measure of the size and growth 
 of the market. A sub- sample of 2000 skiers will be asked to participate in a 
 mail survey to collect additional data on habits, preferences and characteristics. 
 
 This is the first time a comprehensive study of the skier market has been 
 attempted. Each major ski area in Northeastern North America will be visited, as 
 well as many of the smaller rope tow slopes. The study is backed by the Eastern 
 Ski Area Operator's Association and the USEASA, as well as other Federal and 
 State groups. 
 
 Your cooperation is vital. All skiers in our sample will be contacted on 
 one of the 10 days listed below, while standing in a ski lift line. We plan on 
 visiting your area on the dates checked. May we have your permission to inter- 
 view your customers? If for some reason our ski area listing is in error and 
 you do not plan to operate on the date we chose to visit, we would appreciate 
 a post card in order to adjust our sample. 
 
 Thur. Dec. 27, 1962 Sat. Feb. 16, 1963 
 
 Mon. Dec. 31, 1962 Sun. Mar. 3, 1963 
 
 Wed. Jan. 2, 1963 Thur. Mar. 14, 1963 
 
 Fri. Feb. 8, 1963 Sat. Mar. 16, 1963 
 
 Sat. Feb. 9, 1963 Sun. Mar. 31, 1963 
 
 Our interviewer has been instructed to contact you or your representative 
 when he/she arrives at your area. He will need your assistance with several 
 items and we appreciate any help you can provide. 
 
 Thank you for making this research possible. 
 
 Sincerely, 
 
 Ted Farwell 
 Director of Research 
 
A-41 
 
 THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 
 Interview Procedure ; 
 
 1) Check with Regional Field Supervisor to determine specific dates and ski 
 areas where interviews will be conducted. 
 
 2) Plan on arriving at the ski area early. 
 
 3) Upon arrival contact the area manager or person in charge of the area at 
 the time, introduce yourself, tell him you are representing Sno-engineering, 
 Inc., ask for his cooperation. (A letter will have preceded your visit tell- 
 ing of the project and asking for assistance.) 
 
 a) Ask if he will announce your presence and inform his clientele of the 
 project by reading the suggested 'Loud Speaker Announcement 1 . 
 
 b) Ask him for the information you require to complete Sheet #1. 
 
 4) Fill out Sheet #1 in order to plan your interview schedule. The objective 
 is to interview 10% of the crowd at each selected ski area. Sheet #1 is a 
 mathematical calculation of a comfortable crowd for that ski area. 
 
 If during the day the anticipated crowd does not materialize, estimate the 
 crowd and adjust your sample to fit 10$. (if the weather is stormy or skiing 
 is poor, crowds will be much smaller. Also, weekday crowds should run only 
 20-30$ of the mathematical calculation on Sheet #1.) 
 
 No trip should yield less than 30 successful interviews. If a crowd is 
 under 300 you should continue sampling until you have 30. Trips to small 
 rope tow areas will include two or more nearby areas when possible and you 
 then apply the 30 minimum to the total of all areas visited in one day. 
 
 You are expected to average 70 successful interviews per trip. Where you 
 will collect only 30 on some days you may collect as many as 100 on others. 
 
 5) Begin interviews as soon as a line forms (10 or more skiers) after the 
 opening of the lifts or 10 A.M., whichever is earlier. If you wait until 
 after 10 o'clock, you may have trouble collecting an average of 70 inter- 
 views in one day. Tou should complete one interview within a maximum of 
 
 5 minutes. If all interviews take 5 minutes, 70 will take almost 6 hours, 
 which means a U P.M. quitting time. Most interviews should take only 3 
 minutes, meaning you could collect 100 in 5 hours. 
 
 You should begin at the most crowded ski lift and move from there to the 
 next most crowded, etc. Use the calculation on Sheet #1 as a basis for 
 distributing your sample over various ski lift lines. 
 
 a) Begin interviews with the 23rd skier in line or the 23rd skier to get in 
 line after you arrive at the particular lift. 
 
 b) Interview every 20th skier thereafter. 
 
A-41 
 
 c) Do not interview the same skier twice. If a skier who has already been 
 interviewed comes up a second time, just skip him/her and count out an addi- 
 tional 20. Do not take the next skier behind. 
 
 d) Skiers will pass through the line more than once while you are inter- 
 viewing the estimated 10$ of skiers using that lift. This will not bias 
 the sample if you use the systematic method of skier selection called for 
 (ie: every 20th). The sample will be as bias free as possible under con- 
 ditions found in a ski lift line. 
 
 Tou may find that every 20th skier comes too often to allow you the 
 necessary interview time prior to his boarding the lift. Do not ask the 
 skier to leave the line but move along with him. Should the line move too 
 rapidly you may switch to a larger interval between selected skiers, as long 
 as you maintain multiples of 10. The table below shows suggested intervals 
 for ski lifts with varying uphill capacities, (ie: if the lift is a high 
 speed lift of 1000/hr, 50 skiers will load every 3 minutes. To allow enough 
 time for the questions you may have to space the chosen skier 50 apart in- 
 stead of 20) 
 
 Ski Lift Rated Interview Begin interviews 
 Safe Capacity Every skier with the skier 
 
 200 - 500/hr 20th 23rd 
 
 600 - 700/hr 30th 33rd 
 
 800 - 900/hr 40th 43rd 
 
 1000/hr & over 50th 53rd 
 
 e) When you have recorded the required number of interviews in one lift 
 line move on to another lift. 
 
 f ) When you have collected the required number of interviews as determined 
 by either Sheet #1 or an estimate or the 30 minimum you are through for the 
 day. 
 
 S) Prior to turning in Sheets to your Regional Field Supervisor, please total 
 all sheets and enter totals at the botton of each sheet. Also total Columns 
 4 and 6 on Sheet #1. 
 
 7) Turn all materials back to your Regional Field Supervisor. 
 
 3) Sheet #1 is your evidence of work done and miles of travel claimed. 
 
A-42 
 
 Sheet #1 
 
 ESTIMATING THE NUMBER OF INTERVIEWS TO CONDUCT 
 
 Interviewer: 
 Region: 
 
 Miles Traveled: 
 
 Date: 
 
 Ski Area: 
 
 Area Mgr; 
 
 
 1 
 
 2 
 
 3 
 
 4 
 
 
 5 
 
 
 6 
 
 
 Lift type 
 
 Vert 
 
 Rated 
 
 Vertical 
 
 
 Vertical 
 
 
 Computed no. 
 
 
 
 rise 
 
 safe 
 cap. 
 
 transport 
 feet/hour 
 
 
 transport 
 feet/day 
 
 
 interviews 
 per ski lift 
 line 
 
 1 
 
 
 
 /hr 
 
 
 x 7 = 
 
 
 ♦100,000 = 
 
 
 2 
 3 
 
 
 
 /hr 
 /hr 
 
 
 x 7 = 
 x 7 = 
 
 
 ♦100,000 = 
 ♦100,000 - 
 
 
 4 
 
 
 
 /hr 
 
 
 x 7 = 
 
 
 +100,000 ■ 
 
 
 5 
 
 
 
 /hr 
 
 
 x 7 - 
 
 
 +100,000 = 
 
 
 6 
 
 
 
 /hr 
 
 
 x 7 = 
 
 
 +100,000 = 
 
 
 7 
 
 
 
 /hr 
 
 
 x 7 = 
 
 
 +100,000 - 
 
 
 8 
 
 
 
 /hr 
 
 
 x 7 = 
 
 
 +100,000 = 
 
 
 9 
 
 
 
 /hr 
 
 TOTAL 
 
 
 x 7 = 
 
 
 +100,000 = 
 TOTAL 
 
 
 Instructions for completing Sheet #1: 
 
 Fill out Sheet #1 for each ski area visited. 
 Heading self explanatory. 
 
 Column #1) Enter type of lift (T-Bar, Double Chair, Poma, Rope, etc.) for each 
 ski lift at the ski area. (Obtain information from Area Mgr.) 
 
 Column #2) Enter the vertical rise of each of the ski lifts shown in Column #1. 
 (Obtain information from Area Mgr.) 
 
 Column #3) Enter the rated safe capacity per hour for each of the ski lifts 
 shown in Column #1. (Obtain information from Area Mgr.) 
 
 Column #4) Compute & enter the vertical transport feet per hour by multiplying 
 
 Column #2 (vertical rise) by Column #3 (rated safe capacity) for each 
 of the ski lifts shown in Column #1. 
 
 Column #5) Compute & enter the vertical transport feet per day (or period of 
 
 operation) by multiplying Column ,fk by 7 (the average number of hours 
 operation) for each of the lifts shown in Column #1. 
 
 Column #6) Compute the number of interviews to obtain in each lift line by divid- 
 ing Column #5 by 100,000 (move decimal 5 places to the left). Total 
 Column #6 to obtain the number of interviews you will conduct at this 
 ski area. 
 
 Example 
 
 Lift type 
 
 Vert 
 rise 
 
 Rated 
 safe 
 
 cap. 
 
 Vertical 
 
 Transport 
 
 feet/hour 
 
 Vertical 
 
 Transport 
 
 feet/day 
 
 
 Computed no. 
 interviews 
 per lift 
 line 
 
 1 dbl chair 
 
 2 T-Bar 
 
 3 Rope 
 
 1500 
 800 
 200 
 
 900/hr 
 1200/hr 
 1000/hr 
 
 Total 
 
 1,350,000 x 7 = 
 960,000 x 7 = 
 200,000 x 7 = 
 
 2,510,000 
 
 9,450,000 
 6,720,000 
 1,400,000 
 
 100,000 = 
 100,000 - 
 100,000 ■ 
 
 Total 
 
 95 
 
 67 
 
 14 
 
 176 
 
A-43 
 
 THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 
 Instructions for completing Sheet #2 
 
 Column #1) Enter the number of each interview in order to keep track of how 
 many you conduct at the ski area. (The total number in Column #1 must 
 correspond to the total you have computed on Sheet #1 or estimated to be 
 10i of the crowd.) 
 
 Do not interview over 10$ of a crowd if the crowd exceeds 300. 
 
 Column #2) Ask each interviewee: 
 
 "Are you a member of the Eastern Ski Association?" 
 A 'NO' answer to the USEASA membership question brings up the 
 possibility that the skier is Canadian or he/she may so state. Inter- 
 viewers at areas in Northern New England and New York State must watch 
 for this possibility. 
 
 Column #3) For Canadians ask: 
 
 "Are you a member of the Canadian Amateur Ski Association?" 
 Interviewers in Quebec should reverse the order of question, 
 asking for CASA membership first. 
 
 Skiers may not have joined as yet; or may have been members last 
 season and not rejoined. If they voluntarily state they intend to join 
 this season check that column; if they are not a member this season but 
 voluntarily state they belonged last season check that column. Do not 
 press for answers, just ask the question, record and move on to the next. 
 (If pushed many would state they intend to join just to please you, but 
 in fact will not join. We are looking for skiers who do belong, or 
 definitely will join this season.) 
 
 Column #4) Ask each interviewee and record: 
 
 "Are you a subscriber to "SKI" magazine? That is to say, is the 
 subscription in your name?" 
 
 Column #5) Ask each interviewee and record: 
 
 "Are you a subscriber to "SKIING" magazine? Is the subscription 
 in your name?" 
 
 Column #6) Ask each interviewee and record: 
 
 "What year did you first take up skiing?" (Record last two digits 
 of year, ie: 31; 62; etc.) If skier answers in years skied, record this 
 and you can figure year later by subtraction. 
 
 Column #7) Ask each interviewee and record: 
 
 "Approximately how many da/s do you usually ski each season?" 
 This question will take some thought on the pert of the skier. 
 It has been included to obtain some measure of the frequency of par- 
 ticipation, to see if there is a measurable difference between member 
 and non-member skiers. By "usually" we would like the most recent full 
 seasons participation. If necessary for clarification, you may reword 
 the question to ask the number of days he/she skied last season. 
 
A-44 
 
 Some typical answers follow, and should be recorded in the 
 categories indicated. 
 
 "Every weekend & a weeks vacation." 41 - 60 
 
 "Every weekend. " 31 - 40 
 
 "Every other weekend . " 11 - 20 
 
 "Twice a week. " 31 - 40 
 
 "A weekend a month . " under 10 
 
 "Once a week plus weekends. " 41 - 60 
 
 Column #8) Complete Column #8 by observation. 
 
 Column #9) Complete Column #9 by observation. 
 
 Column #10) Use Column #10 beginning with the 9th skier you interview, and 
 ask every 10th interviewee thereafter if they would participate in a 
 mail survey. 
 
 "The second phase of our research will be conducted later, by 
 mail, to conserve your skiing time. Will you cooperate by filling out 
 a mail questionnaire concerning your preferences, habits and character- 
 istics?" 
 
 If "YES" 
 
 Record his/her mailing address. 
 
 SPELL NAMES CORRECTLY! PRINT LEGIBLY! 
 
 If the selected interviewee is a child (under 12 yrs.) do not 
 question beyond Column #9, and leave the address empty. Do not take 
 the next interviewee as a substitute. If the skier will not cooperate 
 by giving his/her name and address, drop the matter and leave the 
 address block empty. DO NOT SUBSTITUTE. 
 
 You may assure the skier that they will receive nothing more 
 than a questionnaire, the results of which will be used to describe the 
 skier market. 
 
Ski Area: 
 
 THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 INTERVIEWER REPORT SHEET # DATE: 
 
 A-45 
 
 19 
 
 
 H 
 
 o 
 
 cf 
 
 P 
 
 M 
 CO 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Skier number 
 
 rn rt i-i 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 2 
 to you 
 o the 
 KI ASS 
 
 NO 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Intend to: 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 1961-62: 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 1962-63: 
 
 beloi 
 
 EAST! 
 OCIA 1 : 
 
 YES 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 3 
 
 lg Do you 1 
 CRN to -the 
 ["ION? AMATE1 
 
 ASSOC. 
 
 NO 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Intend to: 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 1961-62: 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 1— 1 1— i 1. J u 
 > P3 > (D 
 
 1962-63 • 3hm>o 
 
 •o > 
 a 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 a 
 
 o 
 
 4 
 "SKI" 
 subscriber 
 
 NO YES 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 3 
 
 CO 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 § s = 
 
 W CO 
 rn « 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 5 
 
 IING" 
 
 criber 
 
 YES 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 W Hj CO Kj 
 
 ?r h- x <d 
 
 H- ^ H« P ON 
 CD CO CD ►* 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Under 10 
 
 7 
 "Approximately how 
 many days do you 
 usually ski each 
 season? 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 11-20 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 21 - 30 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 31 - 40 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 41 - 60 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 61 - 80 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Over 80 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Slale 
 
 CO 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Female 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Adult 
 
 nO 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 l'eenager 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Child 
 
 
 (D 
 
 '-i 
 <! 
 
 H- 
 CD 
 
 s: 
 
 / 
 
 
 
 
 
 
 
 
 
 
 / 
 
 
 
 
 
 
 
 
 
 O 
 
 3" 
 (B 
 
 *"* 
 P 
 
 o 
 c+ 
 
 CD 
 
 H 
 CO 
 c+ 
 M 
 O 
 CO 
 
 "The second phase 
 of our research 
 will be conducted 
 later, by mail to 
 conserve your ski- 
 ing time. Will 
 you cooperate by 
 filling out a mail 
 questionnaire con- 
 cerning your habits, 
 preferences and 
 
A-46 
 
 THE SKIER MARKET - NORTHEAST NORTH AMERICA 
 
 Questions & Answers 
 
 This list has been prepared to help you overcome some anticipated field 
 problems. It offers a guide to our thinking on problems of random selection 
 of skiers; timing of interviews, lift lines, etc. 
 
 Q l) What do I do if the lift line is moving so fast that I don't have time 
 to complete an interview? 
 
 A l) Change the number of skiers between interviewed skiers from 20 to 30 or 
 40 or 50. As long as the interval remains in multiples of 10 it does 
 no harm to the statistical sample, (ie: you begin interviewing the 33rd 
 skier in line because you have been informed while filling out Sheet #1 
 that the lift has a 600/hr capacity. This skier will reach the lift be- 
 fore you can finish the interview. You should increase the interval be- 
 tween interviews to 40.) 
 
 Q 2 
 
 A 2 
 
 Q 3 
 A 3 
 
 Q 4 
 A 4 
 
 Q 5 
 A 5 
 
 Q 6 
 A 6 
 
 Q 7 
 A 7 
 
 What procedure should I follow if I must leave the lift line to take a 
 short break prior to the time I have collected the required number of 
 interviews in that particular lift line? 
 
 When you return begin interviews the same way as you started in that 
 line, (ie: if you started by counting back to the 43rd skier and took 
 every 40th from there, you do the same.) 
 
 Should I stand in place and let the line move by me? 
 NO. You must move back along the line away from the loading base to 
 allow enough interview time with a skier. While questioning move along 
 with the skier in order for him to keep his place in line and allow you 
 to keep track of the count. When the interview is completed count back 
 to the next selected skier and repeat process. 
 
 Should I interview professionals? Instructors, Ski Patrol and the like? 
 YES! If a skier falls into the selected sample count. We are interes- 
 ted in the membership, habits & preferences of ALL skiers whether they 
 work with skiing, own facilities or participate. 
 
 What do I do if there are two lines for the same lift? 
 If you are working the area with someone else, two of you should work 
 together in this situation. Each collect \ of the required interviews 
 for that lift in the two lines. If working alone you must take \ of 
 the required interviews from each line. 
 
 How much of a break can I take for lunch, coffee, etc.? 
 If you are alone, we suggest you take breaks sparingly and during periods 
 when the lift lines are the shortest. It is easier and faster to collect 
 interviews in long lift lines. 
 
 What if interviewed skier loads before I can get name, address? 
 
 If this looks as if it will happen, skip from membership question to 
 
 name and address, then go back and finish rest of interview. 
 
A-47 
 
 Q S) Isn't it important that the upper lift lines be interviewed? 
 
 A 8) YES! However, unless you have skis it is impractical. Many of the 
 upper lifts are only second stage on a skier's trip to the top. The 
 majority of skiers will return to the base station. Where upper lifts 
 open up new terrain, such as at Sugarbush and Sunapee, we will ask for 
 interviews on this level. 
 
 Q 9) Since I may not interview the same skier twice, what should I do if 
 several skiers in a row selected from my count have been interviewed? 
 
 A 9) Such a situation may indicate that 10$ of crowd has been contacted ski- 
 ing in that lift line. Perhaps the calculated figure overstated the 
 crowd on that day. If this happens move on to another lift. 
 
 10) What procedure do I follow when a crowd is less than 300 and I must 
 
 collect 30 interviews? 
 10) Divide 30 into the estimated crowd and interview every nth skier. 
 
 Example: 
 
 Crowd + 30 = n 
 
 
 
 300 + 30 = 10 
 
 int 
 
 erview every 10th 
 
 200 + 30 = 6.6 
 
 
 '• " 7th 
 
 100 + 30 = 3.3 
 
 
 " » 3rd 
 
 50 + 30 = 1.6 
 
 
 " " 2nd 
 
 30 & under 
 
 
 " everyone 
 
 In this case you cannot nor are you required to keep your interval in 
 multiples of 10. In the interest of randomness keep the intervals in 
 multiples of n. 
 
 11) Do I interview little children? 
 
 11) YES! If they are old enough to ride the lift they are old enough to 
 belong to USEASA and should be counted. However, do not ask any child 
 under 12 yrs. to participate in the mail survey. Do not collect his 
 name & address. 
 
A-48 
 
 BUDGET BUREAU #41-6271 
 
 STATE OF NEW HAMPSHIRE 
 
 DEPARTMENT of RESOURCES and ECONOMIC DEVELOPMENT 
 DIVISION OF ECONOMIC DEVELOPMENT 
 
 STATE 
 
 HOUSE 
 
 ANNEX 
 
 CONCORD 
 
 NEW HAMPSHIRE 
 
 TELEPHONE - CAPITOL 5-6611 
 
 Dear Skier: 
 
 March 15, 1963 
 
 We ask your continued cooperation in a comprehensive survey of skiers visiting ski areas 
 in Northeastern North America. This study is being conducted by Sno-engineering, Inc. under a 
 research contract from the U.S. Department of Commerce, Area Redevelopment Administration 
 and for the Department of Resources and Economic Development of the State of New Hampshire. 
 
 The purpose of this survey is to find out some important information about skiers, their 
 habits, preferences and opinions. Here is your opportunity to help plan the facilities you use. 
 
 You have been selected by a random sampling process. It is statistically important that 
 YOU reply. Please do not give this questionnaire to another skier to fill out and return. Your 
 fine cooperation will aid the ski industry in its growth and help them provide the facilities that 
 you desire. 
 
 Please complete the questionnaire and return it as soon as possible. Returns must be re- 
 ceived prior to 15 April, 1963 in order to be useful. 
 
 Thank you for your cooperation. 
 
 Sincerely, 
 
 ALLAN EVANS 
 
 Director 
 
 Division of Economic Development 
 
 SKIER SURVEY 
 
 1 — Please mark the consideration you feel is MOST important when you choose an area to 
 ski. 
 
 [~J a — The skiing available. 
 
 b — The supporting facilities. (Lodge, Parking, etc.) 
 c — The general atmosphere, 
 d — The expense. 
 
 2 — Have you taken ski lessons from a certified ski school? 
 If No: Skip to question #4. 
 
 □ Yes □ No 
 
 -If Yes: Why did you choose the school that you did? 
 
 □ Convenience □ Reputation of ski school 
 Technique taught Professional reputation of ski 
 
 [~J Cost school director 
 
 Recommended by a friend f~J Desire for specific instructor. 
 
 □ Other ( ) 
 
49 
 
 4 — Did you take a winter ski vacation during the current (1962-63) ski season? Q Yes "J No 
 (A ski vacation is defined as lasting 4 or more days with the primary purpose being to 
 participate in the sport of skiing.) 
 If No: Skip to question #9. 
 
 5 — If Yes: How many days were you away from home during this vacation? Days 
 
 6 — Approximately how many days of skiing did you get during this vacation? Days 
 
 7 — What modes of transportation did you use \o reach your vacation destination? 
 (If you used more than one, please indicate all types used.) 
 
 □ Auto □ Air □ Train □ Bus 
 
 8 — Approximately how much money was spent for this vacation? 
 
 (Include expenditures from the time you left your home to the time you returned. Ex- 
 penses for travel, lodging, food, entertainment, ski equipment and ski facilities are 
 desired. Give total expenditures for yourself only, if possible. If not, show total ex- 
 penditure and indicate number of persons covered.) 
 
 $ Expenses for ... persons 
 
 9 — Did you take a winter ski vacation during the previous (1961-62) ski season? 
 
 If No: Skip to question #11. □ Yes D No 
 
 10 — If Yes: Approximately how many days of skiing did you get during this vacation? 
 
 Days 
 
 1 1 — When you go for a day's skiing do you usually use the area eating facilities, when they are 
 available? (Other than for coffee and/or other beverages.) 
 
 □ Yes □ No 
 
 12 — Do other members of your immediate family ski? □ Yes □ No 
 
 13 — Do you ski during work or school weekdays? ] Yes Q No 
 
 (Other than weekends, holidays and vacation periods.) 
 If No: Skip to question #15. 
 
 14 — If Yes: On the average, during the past few years, approximately how many weekdays, 
 (Other than Weekends, Holidays and Vacation periods) did you ski during a month? (A 
 weekday means all or part of one 24 hour day, Monday thru Friday.) 
 
 □ 1 to 3 □ 4 to 8 □ 9 to 1 4 D 1 5 to 20 
 
 15 — Please indicate your preference in moguls. (Skier made bumps.) 
 r~| a — I find them all challenging and fun to ski. 
 
 □ b — I enjoy moderate bumps, but avoid the extreme. 
 r~| c — I hate moguls, but enjoy the natural rolling terrain. 
 
 □ d — I like only smooth slopes. 
 
 16 — Please indicate your preference in terrain. 
 
 □ ° — I ski mainly on steep, difficult slopes, but enjoy an occasional moderate, easy 
 
 run. 
 
 □ b — I ski mainly on moderate, easy slopes, but enjoy an occasional steep, difficult 
 
 run. 
 
 □ c — I ski equally as much on both types of terrain as described above. 
 
 □ d — I ski only on beginners slopes. 
 
A-50 
 
 17 — Approximately how many Saturdays, Sundays and/or holidays did you ski during the cur- 
 rent (1962-63) ski season? 
 
 □ 5 or under □ 6 to 1 □ lltol5 □ 16 to 20 □ 21 to 25 
 D 26 to 30 □ Over 30 
 
 18 — Approximately how many Saturdays, Sundays and/or holidays did you ski during the 
 previous (1961-62) ski season? 
 
 □ 5 or under □ 6 to 1 Q 11 to 15 D 16 to 20 □ 21 to 25 
 
 □ 26 to 30 □ Over 30 
 
 19 — How much do you spend on an average weekend and/or holiday ski trip? (Includes ex- 
 penditures for travel, lodging, food, entertainment and ski facilities.) $ per day 
 
 20 — When you go on a ski trip, do you usually stay overnight? 
 
 If No: Skip to question #22. □ Yes □ No 
 
 21 — If Yes: Where? 
 
 □ Private residence Q Hotel (Meals optional) 
 
 □ Ski Club Cabin □ Dormitory 
 
 □ Motel (No meals available) □ Other ) 
 
 Q Lodge (2 meals included) 
 
 22 — Assuming a surface lift (T-Bar, Poma, etc.) were satisfactory, are you willing to pay an ad- 
 ditional 20% fee to ride up a ski slope on a chair lift? Q Yes □ No 
 
 23 — Would you be willing to pay a 10% premium if you did not have to wait in a ski lift line 
 over 5 minutes? 
 
 □ Yes □ No 
 
 24 — Would you go to an area specifically to watch a major ski competition? (Class A caliber) 
 
 □ Yes □ No 
 
 25 — Do you avoid skiing at a ski area when you otherwise would if you know a ski competi- 
 tion is to be held there? Q Yes fj No 
 
 26 — Do you belong to a ski- club? Q Yes fj No 
 
 Do you belong to the United States Eastern Amateur Ski Association? Q Yes Q No 
 
 If yes please list your membership number, so that we may validate returns? # 
 
 27 — Do you own your own ski boots? □ Yes □ No 
 
 28 — Do you owrt your own skis? l] Yes ] No 
 
 CLASSIFICATION DATA: 
 
 Would you please complete the following classification section. We are interested for 
 statistical purposes only and replys will be kept confidential. 
 
 29 — -Marital status of respondent. Q Single Q Married 
 
 30 — Sex of respondent. □ Female □ Male 
 
 31— Age of respondent. □ 12-18 Q 19 - 22 □ 23 -30 □ 31 " 40 
 
 □ 41-50 □ over 51 
 
A-51 
 
 32 — What is your approximate annual income before 
 wives please indicate family income level.) 
 
 □ Under $6,000 
 
 □ $10,000 -$14,999 
 
 taxes and payroll deductions? (House- 
 
 □ $6,000 to $9,999 
 
 □ Over $15,000 
 
 33 — Education of respondent. 
 1 2 3 4 5 6 7 8 
 Grade School 
 
 34 — What is your occupation? 
 
 (Circle highest year completed.) 
 
 9 10 11 12 13 14 15 16 
 
 High School University or 
 
 Trade School 
 
 17 18 19 20 
 Graduate School 
 
 Thank you. When you have finished the questionnaire, fold and insert the top of the ques- 
 tionnaire into the fold at the bottom. (Or staple or tape together). Deposit in the nearest mail 
 box. No stamp is necessary. Postage will be paid by the recipient. 
 
 BUSI NESS REPLY MA I L 
 
 First Class 
 PERMIT NO. 8 
 
 Franconia, N- H. 
 
 SNO-ENGINEERING, INC. 
 BOX 65 
 FRANCONIA, N. H. 
 
A-52 
 
 F 
 Typical Problem 
 
 The following is an example of the type of analysis that can be made of 
 a typical problem utilizing data from the market study. 
 
 The situation: A group of developers have a site physically suited to 
 the development of a vacation type ski complex. The site is very distant from 
 any population center. They wish to borrow money to finance the project. The 
 question to be answered - "Can we expect a reasonable income from facility usage 
 by vacation skiers?" The answer depends upon several factors. 
 
 1) The physical layout of the potential ski area. Will it attract vacation 
 skiers? 
 
 2) The availability of supporting facilities. Lodging, entertainment, etc. 
 Will they attract vacation skiers? How necessary is public transportation? 
 
 3) The competition. How much vacation capacity exists? How well suited 
 are these sites to demands of vacation skiers? 
 
 4) The increase in both demand and capacity. How many new skiers are takinj 
 vacations? How fast is the sport adding new skiers? How fast is the sport add- 
 ing attractive vacation capacity? 
 
 Data from the study can be used to help determine a reasonable answer to 
 all questions. 
 
 1) The physical layout can be evaluated in the light of information con- 
 cerning vacation skiers, their habits and preferences. 
 
 2) The need for supporting facilities can again be measured from inform- 
 ation on the makeup, habits, and preferences of vacation skiers. 
 
 3) A quantitative analysis of competition and demand can be made both for 
 overall Northeast North America and in the specific region. Data in Table I 
 combined with demand as assessed in Section V "Quantitative Analysis" is applic- 
 able to these questions. 
 
 4) A projection of demand can be made utilizing data in Section III B & C. 
 Other sources must be utilized to assess the probable increase in capacity. 
 
 In addition, data from "The Skier Market - Northeast North America" can be 
 combined with existing socio-economic market data for various locations to 
 present a more thorough projection. 
 
A-53 
 
 Supplementary References 
 
 Other market data concerning this and other skier markets can be found in 
 the following reprints, pamphlets and publications. 
 
 National Recreation Survey, ORRC Study Report //19, Outdoor Recreation 
 Resources Review Commission, Washington D.C. 1962 
 
 "The Ski Lift Business in New England", by Jan W. Sissener, Federal 
 Reserve Bank of Boston, Research Report #11, I960. 
 
 "Economic Significance of Skiing in Wisconsin". Part of the Wisconsin 
 Recreation Research Reports by the University of Wisconsin. 
 
 "National Ski Census, February 11, 1962." Report to the President of the 
 United States Ski Association, The Broadamoor, Colorado Springs, Colorado. 
 
 "SKI" Magazine's Readership surveys 1950; 1954; 1956; 1958; 1959; 1961; 
 1962. Conducted by Kenneth R. Davis, Marketing Consultant, Amos Tuck School 
 of Business Administration, Dartmouth College; Universal Distributing and 
 Publishing Corp., 800 Second Avenue, New York 17, New York. 
 
 Ski Industries of America Annual Market Survey's 1961; 1962; 1963 
 SIA, kkU Madison Avenue, New York 22, New York. 
 
 "Special Summary - Capacity of Major Ski Lifts in Nex>r England and Eastern 
 America, Winter 1960-61" New Hampshire State Department of Resources and 
 Economic Development, Concord, N. H. 
 
 "Consumer Preference in Ski Areas" Farwell, Estes, Hayes, McCullough, 
 1961; a privately circulating .-"eport. 
 
 "Schussing Along with the Ski Craze" Sales Management February 17, 1961. 
 
 "Standards for the Industry" by John Henry Auran. Ski Business , Spring 
 1962.