National Visitor Use Monitoring Results
October
2008
Data collected FY2001 and FY2007
Region 3
Last updated
DESCRIPTION
OF THE RECREATION VISIT
The National Visitor Use Monitoring (NVUM) program provides
reliable information about recreation visitors to national forest system
managed lands at the national, regional, and forest level. Information about the quantity and quality of
recreation visits is required for national forest plans, Executive Order 12862
(Setting Customer Service Standards), and implementation of the National
Recreation Agenda. To improve public
service, the agency’s Strategic and Annual Performance Plans require measuring
trends in user satisfaction and use levels.
NVUM information assists Congress, Forest Service leaders, and program
managers in making sound decisions that best serve the public and protect
valuable natural resources by providing science based, reliable information
about the type, quantity, quality and location of recreation use on public
lands. The information collected is also
important to external customers including state agencies and private
industry. NVUM methodology and analysis
is explained in detail in the research paper entitled:
In 1998 a group of research and forest staff developed a recreation sampling system (NVUM) that provides statistical recreation use information at the forest, regional, and national level. Several Forest Service staff areas including Recreation, Wilderness, Ecosystem Management, Research and Strategic Planning and Resource Assessment were involved in developing the program. From January 2000 through September 2003 every national forest implemented this methodology and collected visitor use information. Using a five year rotation, every national forest collected information a second time from October 2004 through September 2009.
This NVUM data is useful for forest planning and decision making. The description of visitor characteristics (age, race, zip code, activity participation) can help the forest identify their recreation niche. Satisfaction information can help management decide where best to place limited resources that would result in improved visitor satisfaction. Economic expenditure information can help forests show local communities the employment and income effects of tourism from forest visitors. In addition, the credible use statistics can be helpful in considering visitor capacity issues.
Before
the surveys begin, each forest stratifies all recreation sites and areas into
five basic categories called “site types”:
Day Use Developed Sites (DUDS), Overnight Use Developed Sites (OUDS), Designated
Wilderness Areas (Wilderness), General
A map showing all General Forest Exit locations and View Corridors was prepared and archived with the NVUM data for use in future sample years. NVUM also provided training materials, equipment, survey forms, funding, and the protocol necessary for the forest to gather visitor use information.
NVUM has standardized measures of visitor use to ensure that all national forest visitor measures are comparable. These definitions are basically the same as established by the Forest Service in the 1970s, however the application of the definition is stricter. Visitors must pursue a recreation activity physically located “on” Forest Service managed land in order to be counted. They cannot be passing through; viewing from non-Forest Service managed roads, or just using restroom facilities. The NVUM basic use measurements are national forest visits and site visits. NVUM provides estimates of both types of visits and statistics measuring the precision of the estimates. These statistics include the error rate and associated confidence intervals at the 90 percent confidence level. The NVUM methodology categorizes recreation facilities and areas into specific site types and use levels in order to develop the sampling frame. Understanding the definitions of the variables used in the sample design and statistical analysis is important in order to interpret the results. Following are the definition of the important terms used in this report.
National forest visit - the entry of one person upon a national forest to participate in recreation activities for an unspecified period of time. A national forest visit can be composed of multiple site visits.
Site visit - the entry of one person onto a national forest site or area to participate in recreation activities for an unspecified period of time.
Recreation trip – the duration of time beginning when the visitor left their home and ending when they return to their home.
Confidence level -- defines the degree of certainty that a range of values contains the true value of what is being estimated. For example, a 90% confidence level refers to the range of values within which the true value will fall 90% of the time. Higher confidence levels necessarily cover a larger range of values.
Confidence interval width (also called error rate) - these terms define the reliability of the visit estimates. The confidence level defines the desired level of certainty. The size of the interval that is needed to reach that level of certainty is the confidence interval width. The confidence interval width is expressed as a percent of the estimate and defines the upper and lower bounds of the confidence interval. The smaller the confidence interval, the more precise is the estimate. A 90 percent confidence level is very acceptable for social science applications at a broad national or forest scale. For example: There are 205 million national forest visits plus or minus 3 percent at the 90 percent confidence level. In other words we are 90 percent certain that the true number of national forest visits lies between 198.85 million and 211.15 million.
Site day - a day that a recreation site or area is open to the public for recreation purposes.
Site types -- stratification of a forest recreation site or area into one of five broad categories as defined in the paper: Forest Service National Visitor Use Monitoring Process: Research Method Documentation, May 2002, English et al. The categories are Day Use Developed sites (DUDS), Overnight Use Developed Sites (OUDS), General Forest Areas (GFA), Wilderness (WILD). Two other categories were also developed but not used in the final site visit estimates. These were View Corridors and Off-Forest Recreation Activities. For details see the methods paper (English et al).
Proxy – information collected at a recreation site or area that is related to the amount of recreation visitation received. The proxy information must pertain to all users of the site and it must be one of the proxy types allowed in the NVUM pre-work directions (fee receipts, fee envelopes, mandatory permits, permanent traffic counters, ticket sales, and daily use records).
Nonproxy – a recreation site or area that does not have proxy information. At these sites a 24-hour traffic count is taken to measure total use for one site day at the sample site.
Use level - for proxy or nonproxy sites, each day that a recreation site or area was open for recreation, the site day was categorized as very high, high, medium or low last exiting recreation traffic, or no use. No Use was defined as either administratively closed or having zero expected last exiting use. For example Sabino Picnic Area (a DUDS nonproxy site) is no use for 120 days, has high last exiting recreation use on open weekends (70 days) and medium last exiting recreation use on open midweek days (175 days). This accounts for all 365 days of the year at Sabino Picnic area. This process was repeated for every developed site and area on the forest.
The information presented here is valid and applicable at the forest, regional, and national level. It is not designed to be accurate at the district or site level. The quality of the visitation estimate is dependent on the sample design development, sampling unit selection, sample size and variability, and survey implementation. First, preliminary work conducted by forests to classify sites consistently according to the type and amount of visitation influences the quality of the estimate. Second, visitors sampled must be representative of the population of all visitors. Third, the number of visitors sampled must be large enough to adequately control variability. Finally, the success of the forest in accomplishing its assigned sample days, correctly filling out the interview forms, and following the sample protocol influence the error rate. The error rate will reflect all these factors. The smaller the error rate, the better the estimate.
Large error rates (i.e. high variability) in the national
forest visit (NFV), site visit (SV) and Wilderness visit estimates are
primarily caused by a small sample size in a given stratum (for example General
Forest Area low use days) or having a few observations where the use observed
was beyond that stratum’s normal range.
For example, on the
The descriptive information about national forest visitors is based upon only those visitors that were interviewed. If a forest has distinct seasonal use patterns and activities that vary greatly by season, these patterns may or may not be adequately captured in this study. For the first round of sampling, the study was designed primarily to estimate total number of people during a year. Consequently, sample days were distributed based upon high, medium, and low exiting use days, without regard to seasons or he spatial distribution of days across the forest. For the second round, the sampling frame was adjusted to obtain both a valid estimate of visitation volume, but also a representative sample of visitors. For the second round, the sampling plan took into account both the spatial and seasonal spread of days across the forest. However, the issue of not adequately representing certain use patterns may still occur, particularly for activities that are limited in where or when they occur.
Note that the results of the NVUM activity analysis DO NOT identify the types of activities visitors would like to have offered on the national forests. It also does not tell us about displaced forest visitors, those who no longer visit the forest because the activities they desire are not offered.
Some forest visitors were counted and included in the total forest use estimate but were not surveyed. This included visitors to recreation special events and organization camps.
The population of available site
days for sampling was constructed from information provided by forest staff. Each site was given a rating of very high
(used only in round 2), high, medium, low, or no use for the likelihood of
finding recreational visitors leaving a site or area for the last time (last
exiting recreation use) for each day of the year. The stratum, a combination of site type and
use level, was then used to construct the sampling frame. For both years sampled on this forest the
results of the recreation site/area stratification and days sampled are
displayed in Table 1.
Table 1. Site days and percentage of days sampled by
stratum on the
|
|
Round 1, FY2001 |
Round 2, FY2007 |
|||||
|
Stratum* |
Site Days*
in Stratum Population |
Days Sampled |
Sampling Rate (%) |
Site Days*
in Stratum Population |
Days Sampled |
Sampling Rate (%) |
|
|
Site Type* |
Use Levelc
or Proxy Code* |
||||||
|
DUDS |
High |
272 |
12 |
4.41 |
276 |
5 |
1.81 |
|
DUDS |
Medium |
267 |
10 |
3.75 |
427 |
10 |
2.34 |
|
DUDS |
Low |
5185 |
11 |
0.21 |
5578 |
23 |
0.41 |
|
DUDS |
RE1 |
167 |
3 |
1.80 |
0 |
0 |
n/a |
|
DUDS |
RF1 |
0 |
0 |
n/a |
167 |
9 |
5.39 |
|
GFA |
High |
556 |
15 |
2.70 |
556 |
16 |
2.88 |
|
GFA |
Medium |
2169 |
19 |
0.88 |
2169 |
5 |
0.23 |
|
GFA |
Low |
10111 |
14 |
0.14 |
10311 |
12 |
0.12 |
|
GFA |
FR1 |
276 |
4 |
1.45 |
276 |
9 |
3.26 |
|
OUDS |
High |
15 |
4 |
26.67 |
15 |
. |
. |
|
OUDS |
Medium |
42 |
8 |
19.05 |
42 |
1 |
2.38 |
|
OUDS |
Low |
1751 |
9 |
0.51 |
1751 |
8 |
0.46 |
|
OUDS |
DUR4 |
3945 |
7 |
0.18 |
4207 |
10 |
0.24 |
|
OUDS |
DUR5 |
123 |
0 |
0.00 |
0 |
0 |
n/a |
|
OUDS |
|
139 |
1 |
0.72 |
0 |
0 |
n/a |
|
OUDS |
RE4 |
365 |
4 |
1.10 |
72 |
2 |
2.78 |
|
OUDS |
RF4 |
0 |
0 |
n/a |
365 |
8 |
2.19 |
|
WILD |
High |
56 |
9 |
16.07 |
56 |
6 |
10.71 |
|
WILD |
Medium |
130 |
9 |
6.92 |
130 |
11 |
8.46 |
|
WILD |
Low |
1194 |
9 |
0.75 |
1194 |
6 |
0.50 |
|
Total |
|
26763 |
148 |
0.55 |
27592 |
141 |
0.51 |
c Use level was
defined independently by each forest by defining the expected number of
recreation visitors that would be last-existing a site or area on a given day.
The forest developed the range for very high, high, medium, and low and then
assigned each day of the year to one of the use levels.
d Proxy Code -
If the site or area already had counts of use (such as fee envelopes or ski
lift tickets) the site was called a proxy site and sampled independent of
nonproxy sites.
e Site Days are
days that a recreation site or area is open to the public for recreation
purposes.
Visitor use estimates are available at the national, regional,
and forest level. This document provides
only
When reviewing the results, forest personnel should inquire if
this forest experienced any unusual circumstances such as forest fires, floods,
or atypical weather that may have created an unusual recreation use pattern for
the years sampled.
Table 2 displays the number of national forest visits and site visits by site type for this National Forest. The site visit estimate includes the Wilderness site visits.
|
Visit Type |
Round 1, FY2001 |
Round 2, FY2007 |
||
|
Visits (thousands) |
90% confidence interval width(%)e |
Visits (thousands) |
90% confidence interval width (%)e |
|
|
Total Estimated
Site Visits |
2,516.71 |
20.6 |
1,886.7 |
20.8 |
|
Designated Wilderness Visitsb |
38.12 |
46.9 |
5.1 |
34.4 |
|
Special Events and
Organizational |
71.53 |
0.0 |
0 |
0 |
|
Total Estimated
National |
2,109.29 |
20.2 |
1,547.0 |
20.7 |
b Designated Wilderness visits are included in the Site
Visits estimate.
c
Special events and organizational
camp use are not included in the Site Visit estimate, only in the National
Forest Visits estimate. Forests reported the total number of participants and
observers so this number is not estimated; it is treated as 100% accurate.
e This value defines the upper and lower bounds of the
visitation estimate at the 90% confidence level, for example if the visitation
estimate is 100 +/-5%, one would say “at the 90% confidence level visitation is
between 95 and 105 visits.”
The quality of the use estimate is based in part on how many individuals were contacted during the sample day and how many complete interviews were obtained from which to estimate NVUM numbers and visitor descriptions. Tables 3 and 4 display the number of visitor contacts, number of completed interviews by site type and survey form type. This information may be useful to managers when assessing how representative of all visitors the information in this report may be.
Table 3. Number of individuals contacted
by Site Type on
|
Site Type |
Round 1, FY2001 |
Round 2, FY2007 |
||||
|
Total Individuals Contacted |
Individuals Who Agreed to be Interviewed |
Individuals who were last exiting
recreation |
Total Individuals Contacted |
Individuals Who Agreed to be Interviewed |
Individuals who were last exiting
recreation* |
|
|
DUDS |
708 |
642 |
479 |
323 |
208 |
138 |
|
GFA |
572 |
535 |
397 |
101 |
71 |
38 |
|
OUDS |
323 |
305 |
194 |
175 |
138 |
49 |
|
Wilderness |
154 |
148 |
135 |
58 |
54 |
39 |
|
Total |
1757 |
1630 |
1205 |
657 |
471 |
264 |
* for round 2 this includes
individuals last exiting sometime during the interview day; in round 1 it includes
only individuals last exiting when interviewed.
Table 4. Number of complete interviewsa
on
|
Form Typeb |
Day Use Developed Site |
Overnight Use Developed Site |
Undeveloped Areas (GFAs) |
Wilderness |
Total |
|||||
|
FY 2001 |
FY 2007 |
FY 2001 |
FY 2007 |
FY 2001 |
FY 2007 |
FY 2001 |
FY 2007 |
FY 2001 |
FY 2007 |
|
|
Basic |
242 |
47 |
99 |
20 |
201 |
16 |
73 |
17 |
615 |
100 |
|
Economic |
115 |
47 |
47 |
17 |
99 |
10 |
33 |
15 |
294 |
89 |
|
Satisfaction |
122 |
52 |
48 |
16 |
97 |
12 |
29 |
14 |
296 |
94 |
|
Total |
479 |
146 |
194 |
53 |
397 |
38 |
135 |
46 |
1205 |
283 |
a Complete interviews are those in which the individual
contacted agreed to be interviewed, and fell into the targeted group (was
recreating on the national forest and was exiting the site or area for the last
time that day).
b
Form type is the type of interview
form administered to the visitor. The Basic form did not ask either economic or
satisfaction questions. The Satisfaction form did not ask economic questions
and the Economic form did not ask Satisfaction questions.
Visitors were interviewed regardless of whether they were
recreating at the site or not, however the interview was discontinued after
determining that the reason for visiting the site was not recreation. Figures 1a and b display the various reasons
visitors gave as their purpose for stopping at the sample site.


Descriptions
of forest recreational visits were developed based upon the characteristics of
interviewed visitors (respondents) and expanded to the national forest visitor
population. Basic demographic
information helps forest managers identify the profile of the visitors they
serve. Management concerns such as
providing recreation opportunities for underserved populations may be monitored
with this information. Tables 5 through
Table 7 provide basic demographic information about visitors interviewed
regarding Gender, Race/Ethnicity, and Age, respectively. Table 8 shows the most common reported
origins for recreation visitors. A
complete list of reported zipcodes for respondents is found in Appendix A. Table 9 provides information about self
reported travel distance from home to the interview site for round 2 data only;
this information was not collected in round 1.
Table
5. Percent of National Forest Visits by gender on
|
Gender |
Survey Respondentsa |
National
Forest Visits
(%)b |
||
|
|
FY2001 |
FY2007 |
FY2001 |
FY2007 |
|
Female |
357 |
245 |
30.55 |
44 |
|
Male |
734 |
377 |
69.45 |
56 |
|
Total |
1091 |
622 |
100.00 |
100 |
a in round 2 of
sampling survey respondents were asked to give the gender and age of themselves
plus up to 3 other people in their party, therefore there are more respondents
here than the number of people who completed full interviews.
b Calculations
are computed using weights that expand the sample of individuals to the
population of National Forest Visits. For more detailed information regarding
weights used contact the NVUM program manager.
Table
6. Percent
of National Forest Visitsa by race/ethnicity on
|
Race/Ethnicitya |
Number
of Survey Respondents |
National
Forest Visits
(%) |
||
|
|
FY2001 |
FY2007 |
FY2001 |
FY2007 |
|
American Indian/Alaska Native |
8 |
5 |
1.17 |
5.0 |
|
Asian |
7 |
3 |
0.73 |
1.3 |
|
Black/African American |
6 |
0 |
0.62 |
0.0 |
|
Native Hawaiian or other Pacific Islander |
3 |
2 |
0.23 |
1.0 |
|
Other |
6 |
na |
0.18 |
Na |
|
White |
990 |
195 |
89.42 |
92.7 |
|
|
|
|
|
|
|
Spanish, Hispanic, or Latino |
72 |
18 |
7.64 |
8 |
|
Total |
1092 |
205 |
99.99 |
100.0 |
a
The
race/ethnicity questions were not asked identically in rounds 1 and 2. Due to OMB requirements in round 2, “Spanish,
Hispanic or Latino” was presented in a separate question because it is an
ethnicity not a race. In round 2 respondents first stated whether they were of
this ethnicity, then in a separate question were asked which ones of the racial
categories they felt applied to them. Respondents
could choose more than one racial group.
“Other” was allowed in round 1 but OMB required its removal in round 2.
c Calculations
are computed using weights that expand the sample of individuals to the
population of National Forest Visits. For more detailed information regarding
weights used contact the NVUM program manager.
Table
7. Percent
of National Forest Visitsa by age on
|
Age |
National
Forest Visits
(%) |
|
|
|
FY2001 |
FY2007 |
|
Under 16 |
26.4 |
20.4 |
|
16-19 |
0.6 |
1.0 |
|
20-29 |
8.2 |
7.7 |
|
30-39 |
14.3 |
14.1 |
|
40-49 |
16.4 |
14.1 |
|
50-59 |
13.6 |
18.9 |
|
60-69 |
14.0 |
14.7 |
|
70 and over |
6.5 |
9.1 |
|
Total |
100.0 |
100.0 |

Table 8a. Most commonly reported Zip Codes, states, and
counties of
|
Round 1, FY2001 |
||||
|
ZIP Codes |
State |
County |
Survey Respondents (%) |
Survey Respondents (n) |
|
UNKNOWN ORIGIN |
|
|
9.6 |
116 |
|
85929 |
AZ |
Navajo |
1.9 |
23 |
|
85920 |
AZ |
Apache |
1.8 |
22 |
|
86025 |
AZ |
Navajo |
1.8 |
22 |
|
85901 |
AZ |
Navajo |
1.7 |
20 |
|
85254 |
AZ |
Maricopa |
1.5 |
18 |
|
85296 |
AZ |
Maricopa |
1.5 |
18 |
|
85202 |
AZ |
Maricopa |
1.3 |
16 |
|
85302 |
AZ |
Maricopa |
1.3 |
16 |
|
85936 |
AZ |
Apache |
1.2 |
15 |
|
85203 |
AZ |
Maricopa |
1.1 |
13 |
|
85345 |
AZ |
Maricopa |
1.1 |
13 |
|
|
|
|
|
|
Table 8b. Most commonly reported Zip Codes, states, and
counties of
|
Round 2, FY2007 |
||||
|
ZIP Codes |
State |
County |
Survey Respondents (%) |
Survey Respondents (n) |
|
85901 |
AZ |
Navajo |
8.1 |
23 |
|
85929 |
AZ |
Navajo |
4.6 |
13 |
|
85925 |
AZ |
Apache |
3.5 |
10 |
|
85254 |
AZ |
Maricopa |
2.8 |
8 |
|
85920 |
AZ |
Apache |
2.5 |
7 |
|
85205 |
AZ |
Maricopa |
2.1 |
6 |
|
85935 |
AZ |
Navajo |
2.1 |
6 |
|
85296 |
AZ |
Maricopa |
1.8 |
5 |
|
Foreign
Country |
|
|
1.4 |
4 |
|
85260 |
AZ |
Maricopa |
1.4 |
4 |
|
85927 |
AZ |
Apache |
1.4 |
4 |
|
Miles from Survey Respondent’s Home to Interview Locationb |
National Forest Visits (%) |
|
|
|
FY2001 |
FY2007 |
|
0 - 25 miles |
NA |
36.8 |
|
26 - 50 miles |
NA |
4.8 |
|
51 - 75 miles |
NA |
0.2 |
|
76 - 100 miles |
NA |
3.0 |
|
101 - 200 miles |
NA |
24.3 |
|
201 - 500 miles |
NA |
20.9 |
|
over 500 miles |
NA |
9.9 |
|
Total |
|
99.9 |
a National Forest Visits are defined as the entry of one
person upon a national forest to participate in recreation activities for an
unspecified period of time. A National Forest Visit can be composed of multiple
Site Visits.
b Travel distance is self-reported
¤ Not
enough surveys were collected to make inferences about this variable.
Characteristics of the recreation visit such as length of
visit, types of sites visited, activity participation and visitor satisfaction
with forest facilities and services help managers understand recreation use
patterns and use of facilities. This
allows them to plan workforce and facility needs.
The average national forest visit length of stay and average
site visit length of stay by site type on this forest is displayed in Table 10. Since the average values displayed in Table 10
may be influenced by a few people staying a very long time, the median value is
also shown.
Table 10. Visit duration on
|
Visit Type |
Round 1, FY2001 |
Round 2, FY2007 |
||
|
Average Duration (hours) |
Median Duration (hours) |
Average Duration (hours) |
Median Duration (hours) |
|
|
Site Visit |
37.2 |
4.9 |
16.1 |
3.1 |
|
Day Use Developed |
2.7 |
1.3 |
2.7 |
1.8 |
|
Overnight Use Developed |
66.7 |
45.8 |
43.1 |
24.6 |
|
Undeveloped Areas |
59.9 |
45.9 |
3.6 |
2.0 |
|
Designated Wilderness |
8.9 |
3.5 |
5.0 |
3.1 |
|
National Forest
Visit |
51.9 |
25.1 |
57.0 |
7.8 |
¤ Not
enough surveys were collected to make inferences about this variable.
Many of the respondents on this National Forest went only to the site at which they were interviewed (Table 11). Some visitors went to more than one recreation site or area during their national forest visit and the average site visits per national forest visit is shown below. Also displayed are the average people per vehicle and average axles per vehicle. This information in conjunction with traffic counts was used to expand observations from individual interviews to the full forest population of recreation visitors. This information may be useful to forest engineers and others who use vehicle counters to conduct traffic studies.
Table
11. Group characteristics for
|
Characteristic |
Average |
|
|
|
FY2001 |
FY2007 |
|
Percent of
recreational visitors who visit just one National Forest site during their
entire National Forest Visit |
89.1 |
87.1 |
|
Average number of
national forest sites visited during each National Forest Visit |
1.3 |
1.2 |
|
Average Group size |
2.8 |
3.1 |
|
Average number of
Axles per vehicle |
2.2 |
2.2 |
|
Number of Reported |
Percent of
National Forest Visits (%) |
||||||
|
FY2001 |
FY2007 |
||||||
|
|
All Activities |
Main Activity |
All Activities |
Main Activity |
|
|||
|
1 – 5
times per year |
61.2 |
55.22 |
50.6 |
54.2 |
|
|||
|
6 – 10 times per year |
9.2 |
16.25 |
16.3 |
15.1 |
|
|||
|
11 – 15 times per year |
6.0 |
2.51 |
6.0 |
5.2 |
|
|||
|
16 – 20 times per year |
5.2 |
8.50 |
3.3 |
3.5 |
|
|||
|
21 – 25 times per year |
3.0 |
0.86 |
2.2 |
4.0 |
|
|||
|
26 – 30 times per year |
2.3 |
4.55 |
2.3 |
1.6 |
|
|||
|
31 – 35 times per year |
0.2 |
0.00 |
0.0 |
0.0 |
|
|||
|
36 – 40 times per year |
2.2 |
0.21 |
1.0 |
0.1 |
|
|||
|
41 – 50 times per year |
0.8 |
0.03 |
3.0 |
2.7 |
|
|||
|
51 – 100 times per year |
2.8 |
1.98 |
8.2 |
7.6 |
|
|||
|
101 – 200 times per year |
5.8 |
9.85 |
3.4 |
3.4 |
|
|||
|
201 – 300 times per year |
0.8 |
0.00 |
3.5 |
2.5 |
|
|||
|
Over 300 times per year |
0.6 |
0.03 |
0.2 |
0.0 |
|
|||
Activities
In the second round of NVUM data collection, an additional
question about activity participation was asked. After identifying their main recreational
activity, visitors were asked how many hours they spent participating in that
main activity during this national forest visit. Some caution is needed when using this
information. Because most national
forest visitors participate in several recreation activities during each visit,
it is more than likely that other visitors also participated in this activity,
but did not identify it as their main activity. For example, on one national
forest 63 % of visitors identified viewing wildlife as a recreational activity
that they participated in during this visit, however only 3% identified that
activity as their main recreational activity. The information on average
hours viewing wildlife is only for the 3% who reported it as a main activity. Duration
of main activity was only collected in round 2.
It is tempting to compare the activity participation rates
between the first and second round of data collection on the forest. While this may provide the forest with some
interesting trend analysis, one must be cautious of interpreting any
significant changes. The allocation of
sample days changed between the first and second round of data collection. The second round of data addressed seasonal
distribution of sample days in order to better capture activity participation
that is highly seasonal in nature, such as big game hunting. Therefore, some differences between activity
participation between round 1 and round 2 may be attributed to the change in
sample day allocation and not a change in actual participation rates. The extent of this affect is unknown.
This section of data collection has undergone several changes
in the interview process. Managers should use caution comparing results between
rounds of data collection. About one-third of recreation visitors interviewed
were asked about the facilities and special designated areas they used during
their visit. In round 2 of data
collection, the list of facilities was changed to remove those seldom selected,
and focus on information to assist management in addressing off-highway vehicle
usage. These results are displayed in
Table 14.
a Survey respondents could select multiple activities so
this column may total more than 100%.
b
Respondents were asked to select one
activity as their main one; some selected more than one, so this column may
total more than 100%.
c
Computed only for those who indicated
the activity was the main activity on their visit. This information was collected starting in
Round 2.
Table 14.
|
|
Respondents
who used this item (%) |
|
|
FACILITY/ Area |
FY2001 |
FY2007 |
|
Developed Campground |
34.48 |
NAa |
|
Developed Swimming Site |
2.82 |
6.5 |
|
Forest Trails |
51.82 |
NA |
|
Scenic Byway |
46.74 |
16.9 |
|
Wilderness |
12.91 |
NA |
|
Museum |
15.92 |
7.6 |
|
Picnic Area |
39.79 |
NA |
|
Boat Launch |
13.80 |
NA |
|
Designated OHV Area |
2.01 |
3.6 |
|
|
49.44 |
5.2 |
|
Interpretive Displays |
2.97 |
5.0 |
|
Information Sites |
9.27 |
6.5 |
|
Organization Camps |
3.53 |
NA |
|
Developed Fishing Site |
32.76 |
30.0 |
|
Snowmobile Area/Trails |
0.14 |
NA |
|
Downhill Ski Area |
0.22 |
NA |
|
Nordic Trails |
0.00 |
NA |
|
FS Lodge |
0.80 |
NA |
|
FS Fire Lookout |
3.48 |
NA |
|
Snowplay Area |
1.04 |
NA |
|
Motorized Trails |
1.95 |
NA |
|
Motorized Single Track Trail |
NA |
3.2 |
|
Motorized Dual Track Trailsb |
NA |
3.6 |
|
Recreation Residence |
3.76 |
NA |
|
None of these |
0.44 |
58.3 |
a this
activity was only asked in round 1
About one-third of the NVUM surveys included
questions about trip-related spending within 50 miles of the site visited. For the first round of sampling, spending
data were analyzed at
The spending that occurs on a recreation
trip is greatly influenced by the type of recreation trip taken. For example,
visitors on overnight trips away from home typically have to pay for some form
of lodging (e.g., hotel/motel rooms, fees in a developed campground, etc.)
while those on day trips do not. In addition, visitors on overnight trips will
generally have to purchase more food during their trip (in restaurants or grocery
stores) than visitors on day trips. Visitors who have not traveled far from
home to the recreation location usually spend less than visitors traveling longer
distances, especially on items such as fuel and food. Analysis of spending patterns has shown that a
good way to construct segments of the visitor market with consistent spending
patterns is the following seven groupings:
1. local visitors on day trips,
2. local visitors on overnight trips staying in
lodging on the national forest,
3. local visitors on overnight trips staying in
lodging off the national forest, and
4. non-local visitors on day trips,
5. non-local visitors on overnight trips staying
in lodging on the national forest,
6. non-local visitors on overnight trips staying
in lodging off the forest,
7. non-primary visitors.
Local visitors are those who travel less
than 50 road miles from home to the recreation site visited and non-local
visitors are those who travel greater than 50 road miles to the recreation site
visited. Non-primary visitors are those for whom the primary purpose of their
trip is something other than recreating on that national forest. Table 15 shows the distribution of visits by
spending segment for both sample years.
Table 15. Distribution
of National Forest Visitsa by Spending Segmentb on the
|
|
Non-local Segments |
Local Segments |
Non- Primaryc |
Total |
||||
|
Day |
Overnight on NF |
Overnight off NF |
Day |
Overnight on NF |
Overnight off NF |
|||
|
Percent
of National Forest Visits, FY2001a |
3 |
42 |
35 |
8 |
4 |
6 |
2 |
100% |
|
Percent
of National Forest Visits, FY2007 |
9.02 |
26.84 |
11.09 |
37.05 |
2.25 |
1.01 |
12.74 |
100% |
a A National
Forest Visit is defined as the entry of one person upon a national forest to
participate in recreation activities for an unspecified period of time. A
National Forest Visit can be composed of multiple Site Visits.
b The market
segments shown here relate to the type of recreation trip taken. A recreation
trip is defined as the duration of time beginning when the visitor left their
home and ending when they got back to their home. “Non-local” trips are those
where the individual(s) traveled greater than approximately 50 miles from home
to the Site Visited. “Day” trips do not involve an overnight stay
outside the home, “overnight on-forest” trips are those with an overnight stay
outside the home on National Forest System (NFS) land, and “overnight
off-forest” trips are those with an overnight stay outside the home off
National Forest System land.
c “Non-primary”
trips are those where the primary recreation destination of the trip was
somewhere other than the national forest under consideration.
Spending profiles for each segment for this
forest can be found in the Stynes and White report noted above. Appendix Table A-1 in that report identifies
whether the forest has a high-spending profile (Table 7 of Stynes and White),
an average profile (Table 5), or a low-spending profile (Table 8). It is essential to note that these spending
profiles are in dollars spent per party. Obtaining per-visit spending is accomplished
by dividing the spending for each segment by the average people per party for
the forest and segment found in Appendix Table A-3 of that report.
Total direct spending made within 50 miles
of the forest and associated with national forest recreation is calculated by
combining estimates of per-visit spending averages from the spending profiles with
estimates of the number of national forest visits in the segment. The number of
visits in the segment equals the percentage in Table 15 times the number of
National Forest visits reported in Table 2 of this report.
There are several other important aspects of
the trips on which the recreation visits to the forest are made. These are summarized in Table 16. The first aspect relates to total amount
spent by the recreating party on the trip.
This includes spending not just within 50 miles of the forest, but
anywhere. The table shows both the
average and the median. Another set
describes the overall length of the trips on which the visits are made. The table shows the percent of the visits
that were made on trips where the person stayed away from home overnight (even
though the forest visit may be just a day visit), and the average total nights
away from home and nights spent within 50 miles of the forest. For those spending one or more nights in or
near the forest, the table shows the percentage that selected each of a series
of lodging options. Together, these
results help show the context of overall trip length and lodging patterns for
visitors to the forest. These data are only available for Round 2 data.
Table
16. Visitor Trip Information for
|
Item |
|
|
|
FY2001 |
FY2007 |
|
|
Average
total trip spending per visiting party |
n/a |
556.0 |
|
Median
total trip spending per visiting party |
n/a |
150.0 |
|
Percent
of visitors who stayed away from home overnight on the trip that included
this NF visit |
|
52.8 |
|
Percent
of visits that occur on trip with an overnight stay within 50 miles of the
visited forest |
n/a |
47.9 |
|
For overnight visits, average number
of nights within 50 |
n/a |
11.0 |
|
For those staying overnight within 50
miles of the forest, Percent indicating each type of Lodging |
|
|
|
NF campgrounds ON this national forest |
n/a |
43.9 |
|
Camping in undeveloped areas of this
national forest |
n/a |
20.6 |
|
Cabins, lodges, hotels or huts ON this
national forest |
n/a |
3.8 |
|
Other public campgrounds (Park Service,
BLM, State, other) |
n/a |
4.1 |
|
Private campgrounds NOT on this national
forest |
n/a |
2.4 |
|
Rented home, condo, cabin, lodge or hotel
NOT on this nf |
n/a |
18.2 |
|
Private home of friend or relative |
n/a |
8.1 |
|
Home, cabin, or condo visitor owns |
n/a |
7.0 |
|
Other |
n/a |
2.3 |
Household Income
Beginning
in the second round of data collection, respondents were asked to report a general
category for their total household income.
Only very general categories were used, to minimize the intrusive nature
of the question. Results help indicate
the overall socio-economic status of visitors to the forest, and are found in
Table 17.
|
Household Income Categories |
Percent
of those interviewed who reported household income within these levels |
|
UNDER $25,000 |
1.5 |
|
$25,000 – 49,999 |
14.8 |
|
$50,000-74,999 |
24.9 |
|
$75,000-99,999 |
34.5 |
|
$100,000 – 149,999 |
16.6 |
|
$150,000 and OVER |
7.6 |
Visitors were asked to select one of several
substitute choices, if for some reason they were unable to visit this national
forest (Figures 3a and 3b). Choices
included going somewhere else for the same activity they did on the current
trip, coming back to this forest for the same activity at some later time,
going someplace else for a different
activity, staying at home and not making a recreation trip, going to work
instead of recreating, and a residual ‘other’ category. On most forests, the majority of visitors
indicate that their substitute behavior choice is activity driven (going
elsewhere for same activity) and a smaller percentage indicate they would come
back later to this national forest for the same activity. Round 2 of data collection added an additional
question for visitors: for those visitors who said they would have gone
somewhere for recreation they were asked how far from their home this alternate
destination was. These results are shown
in Figure 4.


Figure 4. Reported distance visitors would travel to alternative recreation location if this NF was not available. (FY2007 only).

An important element of outdoor recreation program delivery is
evaluating customer satisfaction with the recreation setting, facilities, and
services provided. Satisfaction
information helps managers decide where to invest in resources and to allocate
resources more efficiently toward improving customer satisfaction. Satisfaction is a core piece of data for
national- and forest-level performance measures. To describe customer satisfaction, several
different measures are used. Starting
in Round 2, all recreation visitors were asked to provide an overall rating of
their visit to the national forest, on a 5-point Likert scale. For both rounds, about one-third of visitors
interviewed on the forest rated their satisfaction with fourteen elements related
to recreation facilities and services, and the importance of those elements to
their recreation experience. Visitors
were asked to rate the specific site or area at which they were interviewed. Visitors rated both the importance and
performance (satisfaction with) of these elements using a 5-point scale. The Likert scale for importance ranged from
not important to very important. The
Likert scale for performance ranged from very dissatisfied to very satisfied. Although the satisfaction ratings specifically
referenced the area where the visitor was interviewed, the survey design does
not usually have enough responses for any individual site or area on the forest
to present information at a site level.
Rather, the information is generalized to overall satisfaction within
the three site types: Day Use Developed (DUDS), Overnight Use Developed (OUDS),
General Forest Areas, and on the forest as a whole.
The satisfaction responses are analyzed in several ways. First, a graph of overall satisfaction for
Round 2 is presented in Figure 5. Next, two
aggregate measures were calculated from the set of individual elements. The satisfaction elements most readily
controlled by managers were aggregated into four categories: developed facilities, access, services, and
visitor safety. The site types sampled
were aggregated into three groups: developed sites (includes both day use and
overnight developed sites), dispersed areas, and designated Wilderness. The first aggregate measure is called
“Percent Satisfied Index (PSI)”, which is the proportion of all ratings for the
elements in the category where the satisfaction ratings had a numerical rating
of 4 or 5. Conceptually, the PSI indicator shows the percent of all recreation
customers who are satisfied with agency performance. The agency’s national target for this measure
is 85%. It is usually difficult to
consistently have a higher satisfaction score than 85% since given tradeoffs
among user groups and other factors.
Table 18 displays the aggregate PSI scores for this forest for both
rounds of NVUM.
Another aggregate measure of satisfaction is called “Percent
Meet Expectations (PME)”. This is the
proportion of satisfaction ratings in which the numerical satisfaction rating
for a particular element is equal to or greater than the importance rating for
that element. This indicator tracks
the congruence between the agency’s performance and customer evaluations of
importance. The idea behind this measure
is that those elements with higher importance levels must have higher
performance levels. Figures 6a through
6c display the PME scores by type of site for each round of NVUM for each type
of site.
An Importance-Performance Analysis (IPA) (
1. Importance
at or above 4.0, Satisfaction at or above 4.0:
Keep up the good work. These are items that are important to
visitors and ones that the forest is performing quite well;
2. Importance
at or above 4.0, Satisfaction under 4.0:
Concentrate here. These are important items to the public, but
performance is not where it needs to be.
Increasing effort here is likely to have the greatest payoff in overall
customer satisfaction;
3. Importance
below 4.0, Satisfaction above 4.0: Possible
overkill. These are items that are
not highly important to visitors, but the forest’s performance is quite
good. It may be possible to reduce
effort here without greatly harming overall satisfaction;
4. Importance
below 4.0; Satisfaction below 4.0: Low Priority. These are items where performance is not very
good, but neither are they important to visitors. Focusing effort here is unlikely to have a
great impact.
To better enable comparison between
Round 1 and Round 2, we present tables that show the I-P rating title for each
satisfaction element side-by-side for the two rounds. Each sitetype is presented in a separate
table. Results are presented in Tables
19 - 22.
The numerical scores for visitor satisfaction and importance for
each element by site type, and the sample sizes for each are presented in
Appendix B (Tables B1 – B4). Most
managers find it difficult to discern meaning from these raw tables; however they
may wish to examine specific elements once they have reviewed the other satisfaction
information presented in this section.
Note that if an element had fewer than 10 responses no analyses are
performed, as there are too few responses to provide reliable information.
Finally, in Round 2 visitors were asked about their overall
satisfaction with and the importance of road condition and the adequacy of
signage. Figures 7a and 7b show the
results.
Figure 5. Percent of

Table 18.
Percent Satisfaction Indexa scores for aggregate categories,
|
Satisfied
Survey Respondents (%) |
||||||
|
Items Rated |
Developed Sitesb |
Undeveloped Areas (GFAs) |
Designated Wilderness |
|||
|
FY2001 |
FY2007 |
FY2001 |
FY2007 |
FY2001 |
FY2007 |
|
|
Developed
Facilities (includes restroom cleanliness and facility condition) |
71.6 |
90.8 |
94.0 |
. |
94.3 |
100.0 |
|
Access (includes parking
availability, parking lot condition, road condition and trail condition) |
74.9 |
88.5 |
73.0 |
21.8 |
79.0 |
91.6 |
|
Services
(includes availability of information, signage, employee helpfulness) |
86.3 |
75.7 |
84.6 |
76.8 |
70.0 |
71.6 |
|
Perception of Safety |
93.0 |
97.4 |
90.9 |
100.0 |
100.0 |
92.2 |
a
This is a composite rating. It is
the proportion of satisfaction ratings scored by visitors as good/satsified or very good/very satisfied. It is computed as
the percentage of all ratings for the elements within the grouping that are at
or above the target level, and indicates the percent of all visits where the
person was satisfied with agency performance.
b This category includes both Day Use and Overnight Use
Developed Sites.
Figure 6a. Percent Meets Expectations scores for

Figure 6b. Percent Meets Expectations scores for

Figure 6c. Percent Meets Expectations scores for

Table 19.
Importance – Performance ratings for satisfaction elements, Day Use
Developed Sites,
|
ITEM |
I-P Rating, Round 1 |
I-P Rating, Round 2 |
|
Restroom cleanliness |
Concentrate
Here |
Keep
up the Good Work |
|
Developed facility
condition |
Keep
up the Good Work |
Keep
up the Good Work |
|
Condition of environment |
Keep
up the Good Work |
Keep
up the Good Work |
|
Employee helpfulness |
Keep
up the Good Work |
Keep
up the Good Work |
|
Interpretive display |
* |
Keep
up the Good Work |
|
Parking availability |
Concentrate
Here |
Keep
up the Good Work |
|
Parking lot condition |
Possible
Overkill |
Keep
up the Good Work |
|
Rec. info. available |
Possible
Overkill |
Keep
up the Good Work |
|
Road condition |
Concentrate
Here |
Keep
up the Good Work |
|
Feeling of safety |
Keep
up the Good Work |
Keep
up the Good Work |
|
Scenery |
Keep
up the Good Work |
Keep
up the Good Work |
|
Signage adequacy |
Concentrate
Here |
Keep
up the Good Work |
|
Trail
condition |
Low Priority |
Keep up the Good Work |
|
Value for fee paid |
Low
Priority |
* |
* Indicates
fewer than 10 people responded, so no information is provided due to small
sample size.
Table 20.
Importance – Performance ratings for satisfaction elements, Overnight
Use Developed Sites,
|
ITEM |
I-P Rating, Round 1, FY2001 |
I-P Rating, Round 2, FY2007 |
|
Restroom cleanliness |
Concentrate
Here |
Keep
up the Good Work |
|
Developed facility condition |
Keep
up the Good Work |
Keep
up the Good Work |
|
Condition of environment |
Keep
up the Good Work |
Keep
up the Good Work |
|
Employee helpfulness |
Keep
up the Good Work |
Keep
up the Good Work |
|
Interpretive display |
* |
Concentrate
Here |
|
Parking availability |
Keep
up the Good Work |
Keep
up the Good Work |
|
Parking lot condition |
Keep
up the Good Work |
Keep
up the Good Work |
|
Rec. info. available |
Keep
up the Good Work |
Keep
up the Good Work |
|
Road condition |
Keep
up the Good Work |
Keep
up the Good Work |
|
Feeling of safety |
Keep
up the Good Work |
Keep
up the Good Work |
|
Scenery |
Keep
up the Good Work |
Keep
up the Good Work |
|
Signage adequacy |
Keep
up the Good Work |
Keep
up the Good Work |
|
Trail
condition |
Possible Overkill |
Keep up the Good Work |
|
Value for fee paid |
Keep
up the Good Work |
Keep
up the Good Work |
* Indicates
fewer than 10 people responded, so no information is provided due to small
sample size.
Table 21.
Importance – Performance ratings for satisfaction elements, General
Forest Areas,
|
ITEM |
I-P Rating, Round 1 |
I-P Rating, Round 2 |
|
Restroom cleanliness |
Keep
up the Good Work |
* |
|
Developed facility
condition |
Keep
up the Good Work |
* |
|
Condition of environment |
Keep
up the Good Work |
* |
|
Employee helpfulness |
Keep
up the Good Work |
* |
|
Interpretive display |
* |
* |
|
Parking availability |
Possible
Overkill |
* |
|
Parking lot condition |
Possible
Overkill |
* |
|
Rec. info. available |
Possible
Overkill |
* |
|
Road condition |
Concentrate
Here |
* |
|
Feeling of safety |
Keep
up the Good Work |
* |
|
Scenery |
Keep
up the Good Work |
* |
|
Signage adequacy |
Low
Priority |
* |
|
Trail
condition |
Concentrate Here |
* |
|
Value for fee paid |
Possible
Overkill |
* |
*
Indicates fewer than 10 people responded, so no information is provided due to
small sample size.
Table 22.
Importance – Performance ratings for satisfaction elements, designated
Wilderness,
|
ITEM |
I-P Rating, Round 1 |
I-P Rating, Round 2 |
|
Restroom cleanliness |
Keep
up the Good Work |
* |
|
Developed facility
condition |
Keep
up the Good Work |
* |
|
Condition of environment |
Keep
up the Good Work |
Keep
up the Good Work |
|
Employee helpfulness |
Keep
up the Good Work |
* |
|
Interpretive display |
* |
Concentrate
Here |
|
Parking availability |
Possible
Overkill |
Possible
Overkill |
|
Parking lot condition |
Possible
Overkill |
Keep
up the Good Work |
|
Rec. info. available |
Concentrate
Here |
Keep
up the Good Work |
|
Road condition |
Low
Priority |
Keep
up the Good Work |
|
Feeling of safety |
Keep
up the Good Work |
Keep
up the Good Work |
|
Scenery |
Keep
up the Good Work |
Keep
up the Good Work |
|
Signage adequacy |
Concentrate
Here |
Concentrate
Here |
|
Trail
condition |
Keep up the Good Work |
Keep up the Good Work |
|
Value for fee paid |
* |
* |
* Indicates fewer than 10 people responded, so no information is provided due to small sample size.


Visitors rated their perception of
how crowded the recreation site or area felt to them. This information is useful when looking at
the type of site the visitor was using since someone visiting a designated
Wilderness may think 5 people is too many while someone visiting a developed
campground may think 200 people is about right.
Table 23 shows the distribution of responses for each site type. Crowding was reported on a scale of 1 to 10
where 1 denotes hardly anyone was there, and a 10 indicates the area was
perceived as overcrowded. Managers may
find a comparison of visitors’ perception of crowding between data collection
in round one and round two useful. If changes
in facilities or services have occurred managers may determine if visitor
perception of crowding has also changed and further consider whether there is a
relationship between management actions and a perception of crowding by site
type.
.
Table 23. Comparison
of Apache-Sitgreaves
|
Perception of Crowding by Site Types
(Percent site visits %) |
|
||||||||
|
Crowding Rating |
Day Use Developed Sitesc |
Overnight Use Developed Sites |
Undeveloped Areas (GFAs) |
Designated
Wilderness Areas |
|
||||
|
FY2001 |
FY2007 |
FY2001 |
FY2007 |
FY2001 |
FY2007 |
FY2001 |
FY2007 |
||
|
10 Overcrowded |
9.1 |
0.0 |
0.4 |
0.0 |
6.9 |
0.0 |
0.0 |
0.0 |
|
|
9 |
5.3 |
8.7 |
0.1 |
6.9 |
0.6 |
0.0 |
0.0 |
0.0 |
|
|
8 |
23.3 |
7.6 |
7.1 |
13.8 |
5.6 |
0.0 |
0.0 |
7.8 |
|
|
7 |
9.1 |
7.9 |
7.6 |
6.9 |
10.8 |
0.0 |
0.0 |
0.0 |
|
|
6 |
8.0 |
7.6 |
31.9 |
13.8 |
16.7 |
4.1 |
7.9 |
23.5 |
|
|
5 |
14.8 |
11.3 |
20.8 |
6.9 |
10.1 |
0.0 |
0.9 |
7.8 |
|
|
4 |
9.5 |
24.5 |
3.8 |
6.9 |
23.3 |
0.3 |
11.2 |
20.3 |
|
|
3 |
8.2 |
10.5 |
14.4 |
6.9 |
15.8 |
4.1 |
13.1 |
0.0 |
|
|
2 |
11.4 |
21.9 |
13.4 |
31.0 |
7.7 |
91.4 |
50.0 |
28.1 |
|
|
1 Hardly anyone
there |
1.3 |
0.0 |
0.4 |
6.9 |
2.5 |
0.0 |
16.8 |
12.4 |
|
Providing barrier-free facilities for recreation visitors is an
important part of facility and service planning and development. Round one of data collection asked an open
ended question which was intended to measure visitor satisfaction with
facilities and services for persons with disabilities. However, the question was not interpreted as
intended and the results were unsuccessful in obtaining any measurable information
for managers. In round two of data
collection a specific question asked visitors if anyone in their group had a
disability. If they responded yes, the
visitor was then asked if the facilities at the sites they visited were
accessible for this person (Table 24).
|
Item |
Percent |
|
%
of visitors interviewed with group member having a disability |
10.2 |
|
Of
this group, percent who said facilities at site visited were accessible |
78.1 |
Visits to Wilderness
are sometimes made by a particular subset of the overall visitor
population. In this chapter, tables are
presented that describe the demographic characteristics of those who visit
designated wilderness on this forest.
Table 25 shows the gender breakdown, Table 26 the racial and ethnicity
distribution, and Table 27 the age composition. In Table 28, a frequency analysis of
Zipcodes obtained from respondents is presented, to give a rough idea of the
common origins of Wilderness visitors.
Table 25. Gender
distribution of visits to Apache-Sitgreaves
NF Wilderness (FY2001 and FY2007).
|
GENDER of
Wilderness Visitors |
||||
|
Visitor
Characteristics |
Number of Survey Respondents |
% of Wilderness Visits |
||
|
|
FY2001 |
FY 2007 |
FY2001 |
FY 2007 |
|
Female |
48 |
36 |
22.06 |
35.4 |
|
Male |
87 |
58 |
77.94 |
64.6 |
|
Total |
135 |
94 |
100.00 |
100.0 |
Table 26. Race/Ethnicity
distribution of visits to Apache-Sitgreaves NF Wilderness (FY2001 and FY2007).
|
Race/Ethnicitya |
Number
of Survey Respondents |
Wilderness Visits
(%) |
||
|
|
FY2001 |
FY2007 |
FY2001 |
FY2007 |
|
American Indian/Alaska Native |
0 |
1 |
0.00 |
4 |
|
Asian |
1 |
0 |
0.10 |
0 |
|
Black/African American |
0 |
0 |
0.00 |
0 |
|
Native Hawaiian or other Pacific Islander |
0 |
0 |
0.00 |
0 |
|
Other |
1 |
na |
2.35 |
na |
|
White |
129 |
34 |
92.76 |
100 |
|
|
|
|
|
|
|
Spanish, Hispanic, or Latino |
3 |
2 |
4.79 |
6.4 |
|
Total |
134 |
35 |
104 |
123.3 |
a
The race/ethnicity questions were not asked identically
in rounds 1 and 2. Due to OMB
requirements in round 2, “Spanish, Hispanic or Latino” was presented in a
separate question because it is an ethnicity not a race. In round 2 respondents
first stated whether they were of this ethnicity, then in a separate question
were asked which ones of the racial categories they felt applied to them. Respondents could choose more than one racial
group. “Other” was allowed in round 1
but OMB required its removal in round 2.
c Calculations
are computed using weights that expand the sample of individuals to the
population of National Forest Visits. For more detailed information regarding
weights used contact the NVUM program manager.
Table 27. Age distribution
of visits to Apache-Sitgreaves National Forest Wilderness (FY2001 and FY2007).
|
AGE CLASS of Wilderness Visitors |
|
||
|
Visitor
Characteristics |
% of
Wilderness Visits |
||
|
|
FY2001 |
FY2007 |
|
|
Under
16 |
16.4 |
2.2 |
|
|
16-19 |
0.0 |
2.1 |
|
|
19-29 |
5.6 |
14.7 |
|
|
30-39 |
12.8 |
12.4 |
|
|
40-49 |
22.0 |
24.2 |
|
|
50-59 |
22.2 |
31.8 |
|
|
60-69 |
15.0 |
12.2 |
|
|
70
and over |
6.0 |
0.5 |
|
|
Total |
100.0 |
100.1 |
|
Non-respondents to gender, race/ethnicity, and age
related questions were excluded from analyses.
|
Round
1, FY2001 |
|||
|
ZIP
Codes |
State |
County |
Survey Respondents
(n) |
|
85254 |
AZ |
Maricopa |
4 |
|
85901 |
AZ |
Navajo |
4 |
|
85935 |
AZ |
Navajo |
4 |
|
85020 |
AZ |
Maricopa |
3 |
|
85044 |
AZ |
Maricopa |
3 |
|
85614 |
AZ |
Pima |
3 |
|
85719 |
AZ |
Pima |
3 |
|
85737 |
AZ |
Pima |
3 |
|
85749 |
AZ |
Pima |
3 |
|
75093 |
TX |
Collin |
2 |
|
85018 |
AZ |
Maricopa |
2 |
|
Round
2, FY2007 |
|||
|
ZIP
Codes |
State |
County |
Survey Respondents
(n) |
|
85254 |
AZ |
Maricopa |
3 |
|
85016 |
AZ |
Maricopa |
2 |
|
85260 |
AZ |
Maricopa |
2 |
|
85901 |
AZ |
Navajo |
2 |
|
85927 |
AZ |
Apache |
2 |
|
85929 |
AZ |
Navajo |
2 |
|
87043 |
NM |
Sandoval |
2 |
|
76531 |
TX |
|
1 |
|
85012 |
AZ |
Maricopa |
1 |
|
85028 |
AZ |
Maricopa |
1 |
|
85029 |
AZ |
Maricopa |
1 |
APPENDIX A. – Complete list of zipcodes obtained from
recreation visitors
|
HOMELOC |
STATE |
COUNTY |
Percent of Total Frequency |
Frequency Count |
|
UNKNOWN ORIGIN |
|
|
9.6 |
116 |
|
85929 |
AZ |
Navajo |
1.9 |
23 |
|
85920 |
AZ |
Apache |
1.8 |
22 |
|
86025 |
AZ |
Navajo |
1.8 |
22 |
|
85901 |
AZ |
Navajo |
1.7 |
20 |
|
85254 |
AZ |
Maricopa |
1.5 |
18 |
|
85296 |
AZ |
Maricopa |
1.5 |
18 |
|
85202 |
AZ |
Maricopa |
1.3 |
16 |
|
85302 |
AZ |
Maricopa |
1.3 |
16 |
|
85936 |
AZ |
Apache |
1.2 |
15 |
|
85203 |
AZ |
Maricopa |
1.1 |
13 |
|
85345 |
AZ |
Maricopa |
1.1 |
13 |
|
85032 |
AZ |
Maricopa |
1.0 |
12 |
|
85051 |
AZ |
Maricopa |
1.0 |
12 |
|
85204 |
AZ |
Maricopa |
1.0 |
12 |
|
85226 |
AZ |
Maricopa |
1.0 |
12 |
|
85301 |
AZ |
Maricopa |
1.0 |
12 |
|
85205 |
AZ |
Maricopa |
0.9 |
11 |
|
85208 |
AZ |
Maricopa |
0.9 |
11 |
|
85224 |
AZ |
Maricopa |
0.9 |
11 |
|
85248 |
AZ |
Maricopa |
0.9 |
11 |
|
85546 |
AZ |
Graham |
0.9 |
11 |
|
85925 |
AZ |
Apache |
0.9 |
11 |
|
85935 |
AZ |
Navajo |
0.9 |
11 |
|
85053 |
AZ |
Maricopa |
0.8 |
10 |
|
85304 |
AZ |
Maricopa |
0.8 |
10 |
|
85711 |
AZ |
Pima |
0.8 |
10 |
|
85938 |
AZ |
Apache |
0.8 |
10 |
|
85020 |
AZ |
Maricopa |
0.7 |
9 |
|
85201 |
AZ |
Maricopa |
0.7 |
9 |
|
85225 |
AZ |
Maricopa |
0.7 |
9 |
|
85283 |
AZ |
Maricopa |
0.7 |
9 |
|
85022 |
AZ |
Maricopa |
0.7 |
8 |
|
85044 |
AZ |
Maricopa |
0.7 |
8 |
|
85234 |
AZ |
Maricopa |
0.7 |
8 |
|
85308 |
AZ |
Maricopa |
0.7 |
8 |
|
85710 |
AZ |
Pima |
0.7 |
8 |
|
85008 |
AZ |
Maricopa |
0.6 |
7 |
|
85018 |
AZ |
Maricopa |
0.6 |
7 |
|
85023 |
AZ |
Maricopa |
0.6 |
7 |
|
85027 |
AZ |
Maricopa |
0.6 |
7 |
|
85028 |
AZ |
Maricopa |
0.6 |
7 |
|
85210 |
AZ |
Maricopa |
0.6 |
7 |
|
85215 |
AZ |
Maricopa |
0.6 |
7 |
|
85220 |
AZ |
Pinal |
0.6 |
7 |
|
85257 |
AZ |
Maricopa |
0.6 |
7 |
|
85260 |
AZ |
Maricopa |
0.6 |
7 |
|
85718 |
AZ |
Pima |
0.6 |
7 |
|
85741 |
AZ |
Pima |
0.6 |
7 |
|
85937 |
AZ |
Navajo |
0.6 |
7 |
|
85021 |
AZ |
Maricopa |
0.5 |
6 |
|
85029 |
AZ |
Maricopa |
0.5 |
6 |
|
85033 |
AZ |
Maricopa |
0.5 |
6 |
|
85035 |
AZ |
Maricopa |
0.5 |
6 |
|
85037 |
AZ |
Maricopa |
0.5 |
6 |
|
85040 |
AZ |
Maricopa |
0.5 |
6 |
|
85206 |
AZ |
Maricopa |
0.5 |
6 |
|
85207 |
AZ |
Maricopa |
0.5 |
6 |
|
85213 |
AZ |
Maricopa |
0.5 |
6 |
|
85253 |
AZ |
Maricopa |
0.5 |
6 |
|
85282 |
AZ |
Maricopa |
0.5 |
6 |
|
85310 |
AZ |
Maricopa |
0.5 |
6 |
|
85501 |
AZ |
Gila |
0.5 |
6 |
|
85540 |
AZ |
Greenlee |
0.5 |
6 |
|
85541 |
AZ |
Gila |
0.5 |
6 |
|
85704 |
AZ |
Pima |
0.5 |
6 |
|
85749 |
AZ |
Pima |
0.5 |
6 |
|
85750 |
AZ |
Pima |
0.5 |
6 |
|
85212 |
AZ |
Maricopa |
0.4 |
5 |
|
85219 |
AZ |
Pinal |
0.4 |
5 |
|
85222 |
AZ |
Pinal |
0.4 |
5 |
|
85249 |
AZ |
Maricopa |
0.4 |
5 |
|
85250 |
AZ |
Maricopa |
0.4 |
5 |
|
85255 |
AZ |
Maricopa |
0.4 |
5 |
|
85268 |
AZ |
Maricopa |
0.4 |
5 |
|
85281 |
AZ |
Maricopa |
0.4 |
5 |
|
85284 |
AZ |
Maricopa |
0.4 |
5 |
|
85614 |
AZ |
Pima |
0.4 |
5 |
|
85737 |
AZ |
Pima |
0.4 |
5 |
|
85902 |
AZ |
Navajo |
0.4 |
5 |
|
85015 |
AZ |
Maricopa |
0.3 |
4 |
|
85016 |
AZ |
Maricopa |
0.3 |
4 |
|
85042 |
AZ |
Maricopa |
0.3 |
4 |
|
85228 |
AZ |
Pinal |
0.3 |
4 |
|
85233 |
AZ |
Maricopa |
0.3 |
4 |
|
85258 |
AZ |
Maricopa |
0.3 |
4 |
|
85259 |
AZ |
Maricopa |
0.3 |
4 |
|
85303 |
AZ |
Maricopa |
0.3 |
4 |
|
85331 |
AZ |
Maricopa |
0.3 |
4 |
|
85338 |
AZ |
Maricopa |
0.3 |
4 |
|
85351 |
AZ |
Maricopa |
0.3 |
4 |
|
85381 |
AZ |
Maricopa |
0.3 |
4 |
|
85552 |
AZ |
Graham |
0.3 |
4 |
|
85650 |
AZ |
Cochise |
0.3 |
4 |
|
85719 |
AZ |
Pima |
0.3 |
4 |
|
85730 |
AZ |
Pima |
0.3 |
4 |
|
Foreign Countr |
|
|
0.2 |
3 |
|
85013 |
AZ |
Maricopa |
0.2 |
3 |
|
85251 |
AZ |
Maricopa |
0.2 |
3 |
|
85252 |
AZ |
Maricopa |
0.2 |
3 |
|
85305 |
AZ |
Maricopa |
0.2 |
3 |
|
85323 |
AZ |
Maricopa |
0.2 |
3 |
|
85326 |
AZ |
Maricopa |
0.2 |
3 |
|
85547 |
AZ |
Gila |
0.2 |
3 |
|
85635 |
AZ |
Cochise |
0.2 |
3 |
|
85641 |
AZ |
Pima |
0.2 |
3 |
|
85715 |
AZ |
Pima |
0.2 |
3 |
|
85716 |
AZ |
Pima |
0.2 |
3 |
|
85735 |
AZ |
Pima |
0.2 |
3 |
|
85736 |
AZ |
Pima |
0.2 |
3 |
|
85742 |
AZ |
Pima |
0.2 |
3 |
|
85748 |
AZ |
Pima |
0.2 |
3 |
|
85933 |
AZ |
Navajo |
0.2 |
3 |
|
85939 |
AZ |
Navajo |
0.2 |
3 |
|
85940 |
AZ |
Apache |
0.2 |
3 |
|
86001 |
AZ |
Coconino |
0.2 |
3 |
|
86004 |
AZ |
Coconino |
0.2 |
3 |
|
86326 |
AZ |
Yavapai |
0.2 |
3 |
|
86333 |
AZ |
Yavapai |
0.2 |
3 |
|
75093 |
TX |
Collin |
0.2 |
2 |
|
84067 |
UT |
Weber |
0.2 |
2 |
|
85003 |
AZ |
Maricopa |
0.2 |
2 |
|
85014 |
AZ |
Maricopa |
0.2 |
2 |
|
85019 |
AZ |
Maricopa |
0.2 |
2 |
|
85041 |
AZ |
Maricopa |
0.2 |
2 |
|
85048 |
AZ |
Maricopa |
0.2 |
2 |
|
85050 |
AZ |
Maricopa |
0.2 |
2 |
|
85055 |
AZ |
Maricopa |
0.2 |
2 |
|
85108 |
|
|
0.2 |
2 |
|
85306 |
AZ |
Maricopa |
0.2 |
2 |
|
85333 |
AZ |
|
0.2 |
2 |
|
85340 |
AZ |
Maricopa |
0.2 |
2 |
|
85367 |
AZ |
|
0.2 |
2 |
|
85374 |
AZ |
Maricopa |
0.2 |
2 |
|
85375 |
AZ |
Maricopa |
0.2 |
2 |
|
85382 |
AZ |
Maricopa |
0.2 |
2 |
|
85543 |
AZ |
Graham |
0.2 |
2 |
|
85545 |
AZ |
Gila |
0.2 |
2 |
|
85602 |
AZ |
Cochise |
0.2 |
2 |
|
85643 |
AZ |
Cochise |
0.2 |
2 |
|
85701 |
AZ |
Pima |
0.2 |
2 |
|
85705 |
AZ |
Pima |
0.2 |
2 |
|
85706 |
AZ |
Pima |
0.2 |
2 |
|
85712 |
AZ |
Pima |
0.2 |
2 |
|
85739 |
AZ |
Pima |
0.2 |
2 |
|
85743 |
AZ |
Pima |
0.2 |
2 |
|
85746 |
AZ |
Pima |
0.2 |
2 |
|
85747 |
AZ |
Pima |
0.2 |
2 |
|
85941 |
AZ |
Navajo |
0.2 |
2 |
|
85955 |
|
|
0.2 |
2 |
|
86314 |
AZ |
Yavapai |
0.2 |
2 |
|
86322 |
AZ |
Yavapai |
0.2 |
2 |
|
86323 |
AZ |
Yavapai |
0.2 |
2 |
|
86335 |
AZ |
Yavapai |
0.2 |
2 |
|
87120 |
NM |
Bernalillo |
0.2 |
2 |
|
01810 |
MA |
|
0.1 |
1 |
|
06498 |
CT |
Middlesex |
0.1 |
1 |
|
13905 |
NY |
Broome |
0.1 |
1 |
|
19465 |
PA |
|
0.1 |
1 |
|
27104 |
NC |
Forsyth |
0.1 |
1 |
|
32561 |
FL |
|
0.1 |
1 |
|
34787 |
FL |
|
0.1 |
1 |
|
34982 |
FL |
St. Lucie |
0.1 |
1 |
|
35803 |
|
|
0.1 |
1 |
|
37857 |
TN |
Hawkins |
0.1 |
1 |
|
40207 |
KY |
|
0.1 |
1 |
|
42848 |
|
|
0.1 |
1 |
|
44118 |
OH |
Cuyahoga |
0.1 |
1 |
|
45140 |
OH |
Clermont |
0.1 |
1 |
|
49068 |
MI |
Calhoun |
0.1 |
1 |
|
61108 |
IL |
Winnebago |
0.1 |
1 |
|
65807 |
MO |
Greene |
0.1 |
1 |
|
67368 |
|
|
0.1 |
1 |
|
70808 |
LA |
East Baton Ro |
0.1 |
1 |
|
72901 |
AR |
Sebastian |
0.1 |
1 |
|
72956 |
AR |
Crawford |
0.1 |
1 |
|
74138 |
|
|
0.1 |
1 |
|
74838 |
|
|
0.1 |
1 |
|
75253 |
TX |
|
0.1 |
1 |
|
75862 |
TX |
Trinity |
0.1 |
1 |
|
76643 |
TX |
McLennan |
0.1 |
1 |
|
77084 |
TX |
Harris |
0.1 |
1 |
|
78232 |
TX |
Bexar |
0.1 |
1 |
|
78621 |
TX |
|
0.1 |
1 |
|
78837 |
TX |
Val Verde |
0.1 |
1 |
|
79762 |
TX |
Ector |
0.1 |
1 |
|
79906 |
TX |
|
0.1 |
1 |
|
79925 |
TX |
|
0.1 |
1 |
|
79935 |
TX |
|
0.1 |
1 |
|
80004 |
CO |
|
0.1 |
1 |
|
80122 |
CO |
Arapahoe |
0.1 |
1 |
|
80326 |
|
|
0.1 |
1 |
|
83528 |
|
|
0.1 |
1 |
|
83733 |
ID |
|
0.1 |
1 |
|
83750 |
|
|
0.1 |
1 |
|
84058 |
UT |
|
0.1 |
1 |
|
84074 |
UT |
Tooele |
0.1 |
1 |
|
84084 |
UT |
|
0.1 |
1 |
|
85004 |
AZ |
Maricopa |
0.1 |
1 |
|
85006 |
AZ |
Maricopa |
0.1 |
1 |
|
85007 |
AZ |
Maricopa |
0.1 |
1 |
|
85012 |
AZ |
Maricopa |
0.1 |
1 |
|
85026 |
AZ |
Maricopa |
0.1 |
1 |
|
85045 |
AZ |
Maricopa |
0.1 |
1 |
|
85087 |
AZ |
Maricopa |
0.1 |
1 |
|
85107 |
|
|
0.1 |
1 |
|
85146 |
|
|
0.1 |
1 |
|
85214 |
AZ |
Maricopa |
0.1 |
1 |
|
85216 |
AZ |
Maricopa |
0.1 |
1 |
|
85217 |
AZ |
Pinal |
0.1 |
1 |
|
85218 |
AZ |
Pinal |
0.1 |
1 |
|
85223 |
AZ |
Pinal |
0.1 |
1 |
|
85227 |
AZ |
Maricopa |
0.1 |
1 |
|
85231 |
AZ |
Pinal |
0.1 |
1 |
|
85232 |
AZ |
Pinal |
0.1 |
1 |
|
85236 |
AZ |
Maricopa |
0.1 |
1 |
|
85242 |
AZ |
Maricopa |
0.1 |
1 |
|
8525 |
|
|
0.1 |
1 |
|
85262 |
AZ |
Maricopa |
0.1 |
1 |
|
85266 |
AZ |
Maricopa |
0.1 |
1 |
|
85278 |
AZ |
Pinal |
0.1 |
1 |
|
85280 |
AZ |
Maricopa |
0.1 |
1 |
|
85291 |
AZ |
Pinal |
0.1 |
1 |
|
85292 |
AZ |
Gila |
0.1 |
1 |
|
85297 |
AZ |
Maricopa |
0.1 |
1 |
|
85327 |
AZ |
Maricopa |
0.1 |
1 |
|
85334 |
AZ |
|
0.1 |
1 |
|
85335 |
AZ |
Maricopa |
0.1 |
1 |
|
85339 |
AZ |
Maricopa |
0.1 |
1 |
|
85348 |
AZ |
|
0.1 |
1 |
|
85350 |
AZ |
|
0.1 |
1 |
|
85353 |
AZ |
Maricopa |
0.1 |
1 |
|
85358 |
AZ |
Maricopa |
0.1 |
1 |
|
85361 |
AZ |
Maricopa |
0.1 |
1 |
|
85364 |
AZ |
|
0.1 |
1 |
|
85365 |
AZ |
|
0.1 |
1 |
|
85372 |
AZ |
Maricopa |
0.1 |
1 |
|
85383 |
AZ |
Maricopa |
0.1 |
1 |
|
85430 |
|
|
0.1 |
1 |
|
85431 |
|
|
0.1 |
1 |
|
85525 |
|
|
0.1 |
1 |
|
85533 |
AZ |
Greenlee |
0.1 |
1 |
|
85534 |
AZ |
Greenlee |
0.1 |
1 |
|
85536 |
AZ |
Graham |
0.1 |
1 |
|
85544 |
AZ |
Gila |
0.1 |
1 |
|
85553 |
AZ |
Gila |
0.1 |
1 |
|
85555 |
|
|
0.1 |
1 |
|
85615 |
AZ |
Cochise |
0.1 |
1 |
|
85618 |
AZ |
Pinal |
0.1 |
1 |
|
85623 |
AZ |
Pinal |
0.1 |
1 |
|
85625 |
AZ |
Cochise |
0.1 |
1 |
|
85628 |
AZ |
|
0.1 |
1 |
|
85630 |
AZ |
Cochise |
0.1 |
1 |
|
85631 |
AZ |
Pinal |
0.1 |
1 |
|
85632 |
AZ |
Cochise |
0.1 |
1 |
|
85640 |
AZ |
|
0.1 |
1 |
|
85648 |
AZ |
|
0.1 |
1 |
|
857 |
|
|
0.1 |
1 |
|
85708 |
AZ |
Pima |
0.1 |
1 |
|
85713 |
AZ |
Pima |
0.1 |
1 |
|
85721 |
AZ |
Pima |
0.1 |
1 |
|
85726 |
AZ |
Pima |
0.1 |
1 |
|
85734 |
AZ |
Pima |
0.1 |
1 |
|
85738 |
AZ |
Pima |
0.1 |
1 |
|
85745 |
AZ |
Pima |
0.1 |
1 |
|
85912 |
AZ |
Navajo |
0.1 |
1 |
|
85923 |
AZ |
Navajo |
0.1 |
1 |
|
85924 |
AZ |
Apache |
0.1 |
1 |
|
85926 |
AZ |
Navajo |
0.1 |
1 |
|
85928 |
AZ |
Navajo |
0.1 |
1 |
|
85930 |
AZ |
Apache |
0.1 |
1 |
|
85932 |
AZ |
Apache |
0.1 |
1 |
|
85934 |
AZ |
Navajo |
0.1 |
1 |
|
85944 |
|
|
0.1 |
1 |
|
85959 |
|
|
0.1 |
1 |
|
85963 |
|
|
0.1 |
1 |
|
85992 |
|
|
0.1 |
1 |
|
86045 |
AZ |
Coconino |
0.1 |
1 |
|
86303 |
AZ |
Yavapai |
0.1 |
1 |
|
86320 |
AZ |
Yavapai |
0.1 |
1 |
|
86324 |
AZ |
Yavapai |
0.1 |
1 |
|
86327 |
AZ |
Yavapai |
0.1 |
1 |
|
86351 |
AZ |
Yavapai |
0.1 |
1 |
|
86401 |
AZ |
Mohave |
0.1 |
1 |
|
86404 |
AZ |
Mohave |
0.1 |
1 |
|
86426 |
AZ |
Mohave |
0.1 |
1 |
|
86505 |
AZ |
Apache |
0.1 |
1 |
|
86512 |
AZ |
Apache |
0.1 |
1 |
|
86555 |
|
|
0.1 |
1 |
|
86602 |
|
|
0.1 |
1 |
|
86712 |
|
|
0.1 |
1 |
|
87111 |
NM |
Bernalillo |
0.1 |
1 |
|
87114 |
NM |
Bernalillo |
0.1 |
1 |
|
87193 |
NM |
Bernalillo |
0.1 |
1 |
|
87327 |
NM |
McKinley |
0.1 |
1 |
|
87410 |
NM |
|
0.1 |
1 |
|
87413 |
NM |
|
0.1 |
1 |
|
87502 |
NM |
|
0.1 |
1 |
|
87508 |
NM |
|
0.1 |
1 |
|
87544 |
NM |
|
0.1 |
1 |
|
87832 |
NM |
Socorro |
0.1 |
1 |
|
88001 |
NM |
Dona Ana |
0.1 |
1 |
|
88006 |
NM |
Dona Ana |
0.1 |
1 |
|
88030 |
NM |
Luna |
0.1 |
1 |
|
88031 |
NM |
Luna |
0.1 |
1 |
|
88039 |
NM |
Catron |
0.1 |
1 |
|
88045 |
NM |
|
0.1 |
1 |
|
89026 |
NV |
|
0.1 |
1 |
|
89056 |
|
|
0.1 |
1 |
|
89059 |
|
|
0.1 |
1 |
|
89060 |
NV |
Nye |
0.1 |
1 |
|
89542 |
|
|
0.1 |
1 |
|
89590 |
|
|
0.1 |
1 |
|
89801 |
NV |
Elko |
0.1 |
1 |
|
90039 |
CA |
|
0.1 |
1 |
|
91042 |
CA |
|
0.1 |
1 |
|
91402 |
CA |
|
0.1 |
1 |
|
91406 |
CA |
|
0.1 |
1 |
|
91761 |
CA |
San Bernardin |
0.1 |
1 |
|
91901 |
CA |
|
0.1 |
1 |
|
92251 |
CA |
Imperial |
0.1 |
1 |
|
92399 |
CA |
San Bernardin |
0.1 |
1 |
|
92407 |
CA |
San Bernardin |
0.1 |
1 |
|
92701 |
CA |
|
0.1 |
1 |
|
92931 |
|
|
0.1 |
1 |
|
93021 |
CA |
|
0.1 |
1 |
|
94107 |
CA |
|
0.1 |
1 |
|
95005 |
CA |
|
0.1 |
1 |
|
95661 |
CA |
Placer |
0.1 |
1 |
|
97520 |
OR |
|
0.1 |
1 |
|
98371 |
WA |
Pierce |
0.1 |
1 |
|
HOME LOCATION |
STATE |
COUNTY |
Percent of Total Frequency |
Frequency Count |
|
85901 |
AZ |
Navajo |
8.1 |
23 |
|
85929 |
AZ |
Navajo |
4.6 |
13 |
|
85925 |
AZ |
Apache |
3.5 |
10 |
|
85254 |
AZ |
Maricopa |
2.8 |
8 |
|
85920 |
AZ |
Apache |
2.5 |
7 |
|
85205 |
AZ |
Maricopa |
2.1 |
6 |
|
85935 |
AZ |
Navajo |
2.1 |
6 |
|
85296 |
AZ |
Maricopa |
1.8 |
5 |
|
Foreign Country |
|
|
1.4 |
4 |
|
85260 |
AZ |
Maricopa |
1.4 |
4 |
|
85927 |
AZ |
Apache |
1.4 |
4 |
|
85016 |
AZ |
Maricopa |
1.1 |
3 |
|
85029 |
AZ |
Maricopa |
1.1 |
3 |
|
85048 |
AZ |
Maricopa |
1.1 |
3 |
|
85208 |
AZ |
Maricopa |
1.1 |
3 |
|
85209 |
|
|
1.1 |
3 |
|
85218 |
AZ |
Pinal |
1.1 |
3 |
|
85234 |
AZ |
Maricopa |
1.1 |
3 |
|
85248 |
AZ |
Maricopa |
1.1 |
3 |
|
85268 |
AZ |
Maricopa |
1.1 |
3 |
|
85304 |
AZ |
Maricopa |
1.1 |
3 |
|
85718 |
AZ |
Pima |
1.1 |
3 |
|
85742 |
AZ |
Pima |
1.1 |
3 |
|
85938 |
AZ |
Apache |
1.1 |
3 |
|
85032 |
AZ |
Maricopa |
0.7 |
2 |
|
85044 |
AZ |
Maricopa |
0.7 |
2 |
|
85051 |
AZ |
Maricopa |
0.7 |
2 |
|
85206 |
AZ |
Maricopa |
0.7 |
2 |
|
85207 |
AZ |
Maricopa |
0.7 |
2 |
|
85213 |
AZ |
Maricopa |
0.7 |
2 |
|
85220 |
AZ |
Pinal |
0.7 |
2 |
|
85233 |
AZ |
Maricopa |
0.7 |
2 |
|
85243 |
|
|
0.7 |
2 |
|
85249 |
AZ |
Maricopa |
0.7 |
2 |
|
85251 |
AZ |
Maricopa |
0.7 |
2 |
|
85297 |
AZ |
Maricopa |
0.7 |
2 |
|
85302 |
AZ |
Maricopa |
0.7 |
2 |
|
85374 |
AZ |
Maricopa |
0.7 |
2 |
|
85382 |
AZ |
Maricopa |
0.7 |
2 |
|
85540 |
AZ |
Greenlee |
0.7 |
2 |
|
85541 |
AZ |
Gila |
0.7 |
2 |
|
85704 |
AZ |
Pima |
0.7 |
2 |
|
85712 |
AZ |
Pima |
0.7 |
2 |
|
85739 |
AZ |
Pima |
0.7 |
2 |
|
85745 |
AZ |
Pima |
0.7 |
2 |
|
85932 |
AZ |
Apache |
0.7 |
2 |
|
85933 |
AZ |
Navajo |
0.7 |
2 |
|
85939 |
AZ |
Navajo |
0.7 |
2 |
|
87043 |
NM |
Sandoval |
0.7 |
2 |
|
0000 |
|
|
0.4 |
1 |
|
34209 |
FL |
Manatee |
0.4 |
1 |
|
38610 |
MS |
Tippah |
0.4 |
1 |
|
39564 |
MS |
|
0.4 |
1 |
|
43952 |
OH |
|
0.4 |
1 |
|
44677 |
OH |
|
0.4 |
1 |
|
45036 |
OH |
|
0.4 |
1 |
|
54212 |
WI |
Door |
0.4 |
1 |
|
55437 |
MN |
Hennepin |
0.4 |
1 |
|
76531 |
TX |
|
0.4 |
1 |
|
77351 |
TX |
Polk |
0.4 |
1 |
|
77399 |
TX |
Polk |
0.4 |
1 |
|
84315 |
UT |
Weber |
0.4 |
1 |
|
84601 |
UT |
|
0.4 |
1 |
|
85006 |
AZ |
Maricopa |
0.4 |
1 |
|
85012 |
AZ |
Maricopa |
0.4 |
1 |
|
85013 |
AZ |
Maricopa |
0.4 |
1 |
|
85022 |
AZ |
Maricopa |
0.4 |
1 |
|
85028 |
AZ |
Maricopa |
0.4 |
1 |
|
85033 |
AZ |
Maricopa |
0.4 |
1 |
|
85042 |
AZ |
Maricopa |
0.4 |
1 |
|
85053 |
AZ |
Maricopa |
0.4 |
1 |
|
85201 |
AZ |
Maricopa |
0.4 |
1 |
|
85202 |
AZ |
Maricopa |
0.4 |
1 |
|
85204 |
AZ |
Maricopa |
0.4 |
1 |
|
85210 |
AZ |
Maricopa |
0.4 |
1 |
|
85217 |
AZ |
Pinal |
0.4 |
1 |
|
85219 |
AZ |
Pinal |
0.4 |
1 |
|
85222 |
AZ |
Pinal |
0.4 |
1 |
|
85224 |
AZ |
Maricopa |
0.4 |
1 |
|
85225 |
AZ |
Maricopa |
0.4 |
1 |
|
85226 |
AZ |
Maricopa |
0.4 |
1 |
|
85236 |
AZ |
Maricopa |
0.4 |
1 |
|
85237 |
AZ |
Pinal |
0.4 |
1 |
|
85242 |
AZ |
Maricopa |
0.4 |
1 |
|
85259 |
AZ |
Maricopa |
0.4 |
1 |
|
85266 |
AZ |
Maricopa |
0.4 |
1 |
|
85281 |
AZ |
Maricopa |
0.4 |
1 |
|
85283 |
AZ |
Maricopa |
0.4 |
1 |
|
85284 |
AZ |
Maricopa |
0.4 |
1 |
|
85293 |
|
|
0.4 |
1 |
|
85298 |
|
|
0.4 |
1 |
|
85301 |
AZ |
Maricopa |
0.4 |
1 |
|
85303 |
AZ |
Maricopa |
0.4 |
1 |
|
85307 |
AZ |
Maricopa |
0.4 |
1 |
|
85308 |
AZ |
Maricopa |
0.4 |
1 |
|
85310 |
AZ |
Maricopa |
0.4 |
1 |
|
85322 |
AZ |
Maricopa |
0.4 |
1 |
|
85331 |
AZ |
Maricopa |
0.4 |
1 |
|
85338 |
AZ |
Maricopa |
0.4 |
1 |
|
85345 |
AZ |
Maricopa |
0.4 |
1 |
|
85353 |
AZ |
Maricopa |
0.4 |
1 |
|
85375 |
AZ |
Maricopa |
0.4 |
1 |
|
85377 |
AZ |
Maricopa |
0.4 |
1 |
|
85381 |
AZ |
Maricopa |
0.4 |
1 |
|
85388 |
|
|
0.4 |
1 |
|
85446 |
|
|
0.4 |
1 |
|
85501 |
AZ |
Gila |
0.4 |
1 |
|
85516 |
|
|
0.4 |
1 |
|
85547 |
AZ |
Gila |
0.4 |
1 |
|
85552 |
AZ |
Graham |
0.4 |
1 |
|
85553 |
AZ |
Gila |
0.4 |
1 |
|
85604 |
|
|
0.4 |
1 |
|
85607 |
AZ |
Cochise |
0.4 |
1 |
|
85614 |
AZ |
Pima |
0.4 |
1 |
|
85630 |
AZ |
Cochise |
0.4 |
1 |
|
85631 |
AZ |
Pinal |
0.4 |
1 |
|
85701 |
AZ |
Pima |
0.4 |
1 |
|
85706 |
AZ |
Pima |
0.4 |
1 |
|
85710 |
AZ |
Pima |
0.4 |
1 |
|
85716 |
AZ |
Pima |
0.4 |
1 |
|
85719 |
AZ |
Pima |
0.4 |
1 |
|
85730 |
AZ |
Pima |
0.4 |
1 |
|
85738 |
AZ |
Pima |
0.4 |
1 |
|
85741 |
AZ |
Pima |
0.4 |
1 |
|
85746 |
AZ |
Pima |
0.4 |
1 |
|
85749 |
AZ |
Pima |
0.4 |
1 |
|
85902 |
AZ |
Navajo |
0.4 |
1 |
|
85912 |
AZ |
Navajo |
0.4 |
1 |
|
85921 |
|
|
0.4 |
1 |
|
85924 |
AZ |
Apache |
0.4 |
1 |
|
85934 |
AZ |
Navajo |
0.4 |
1 |
|
85936 |
AZ |
Apache |
0.4 |
1 |
|
85940 |
AZ |
Apache |
0.4 |
1 |
|
86001 |
AZ |
Coconino |
0.4 |
1 |
|
86004 |
AZ |
Coconino |
0.4 |
1 |
|
86303 |
AZ |
Yavapai |
0.4 |
1 |
|
86305 |
AZ |
Yavapai |
0.4 |
1 |
|
86323 |
AZ |
Yavapai |
0.4 |
1 |
|
86336 |
AZ |
Yavapai |
0.4 |
1 |
|
86502 |
AZ |
Apache |
0.4 |
1 |
|
86504 |
AZ |
Apache |
0.4 |
1 |
|
87106 |
NM |
Bernalillo |
0.4 |
1 |
|
87110 |
NM |
Bernalillo |
0.4 |
1 |
|
87111 |
NM |
Bernalillo |
0.4 |
1 |
|
88005 |
NM |
Dona Ana |
0.4 |
1 |
|
89519 |
|
|
0.4 |
1 |
|
90620 |
CA |
|
0.4 |
1 |
|
92078 |
CA |
|
0.4 |
1 |
|
92117 |
CA |
|
0.4 |
1 |
|
92252 |
CA |
San Bernardin |
0.4 |
1 |
|
92562 |
CA |
|
0.4 |
1 |
|
97477 |
OR |
Lane |
0.4 |
1 |
|
99611 |
AK |
Kenai Peninsu |
0.4 |
1 |
APPENDIX
B. Detailed Satisfaction Results, FY2001
and FY2007.
|
ITEM |
Poor |
Fair |
Average |
Good |
Very Good |
Average Rating * |
Number of Responses *** |
Mean Importance ** |
|
Restroom cleanliness |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
13.1 |
6.4 |
22.1 |
34.5 |
24.0 |
3.5 |
82 |
4.5 |
|
Round 2, FY2007 |
0.0 |
4.9 |
2.2 |
13.6 |
79.3 |
4.7 |
32 |
5.0 |
|
Developed facility condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
7.9 |
0.3 |
15.0 |
36.9 |
40.0 |
4.0 |
97 |
4.3 |
|
Round 2, FY2007 |
2.8 |
2.8 |
2.8 |
21.1 |
70.5 |
4.5 |
43 |
4.7 |
|
Condition of environment |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.8 |
0.0 |
5.1 |
42.1 |
52.0 |
4.4 |
113 |
4.6 |
|
Round 2, FY2007 |
0.0 |
2.6 |
0.0 |
22.1 |
75.4 |
4.7 |
46 |
4.9 |
|
Employee helpfulness |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.3 |
0.0 |
20.1 |
79.6 |
4.8 |
100 |
4.5 |
|
Round 2, FY2007 |
0.0 |
0.0 |
11.9 |
10.8 |
77.3 |
4.7 |
32 |
4.8 |
|
Interpretive display |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
. |
. |
. |
. |
. |
. |
0 |
. |
|
Round 2, FY2007 |
3.8 |
5.0 |
26.9 |
11.5 |
52.8 |
4.0 |
31 |
4.2 |
|
Parking availability |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
9.9 |
1.5 |
19.4 |
41.1 |
28.2 |
3.8 |
113 |
4.1 |
|
Round 2, FY2007 |
2.6 |
0.0 |
5.1 |
15.1 |
77.2 |
4.6 |
46 |
4.7 |
|
Parking lot condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
9.3 |
15.8 |
42.6 |
32.3 |
4.0 |
110 |
3.8 |
|
Round 2, FY2007 |
2.6 |
0.8 |
5.9 |
11.8 |
79.0 |
4.6 |
46 |
4.5 |
|
Rec. info. available |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
5.6 |
8.2 |
9.8 |
36.5 |
39.9 |
4.0 |
93 |
3.8 |
|
Round 2, FY2007 |
3.2 |
7.2 |
19.0 |
21.7 |
48.9 |
4.1 |
38 |
4.4 |
|
Road condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
4.4 |
6.8 |
26.7 |
44.8 |
17.3 |
3.6 |
105 |
4.0 |
|
Round 2, FY2007 |
0.0 |
3.5 |
15.1 |
28.7 |
52.7 |
4.3 |
44 |
4.5 |
|
Feeling of safety |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
4.4 |
6.8 |
26.7 |
44.8 |
17.3 |
3.6 |
105 |
4.0 |
|
Round 2, FY2007 |
0.0 |
0.0 |
0.0 |
23.2 |
76.8 |
4.8 |
42 |
4.9 |
|
Scenery |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
0.2 |
17.0 |
82.8 |
4.8 |
114 |
4.7 |
|
Round 2, FY2007 |
0.0 |
0.0 |
0.0 |
18.0 |
82.0 |
4.8 |
46 |
4.9 |
|
Signage adequacy |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
8.9 |
1.3 |
16.2 |
39.4 |
34.2 |
3.9 |
111 |
4.2 |
|
Round 2, FY2007 |
2.7 |
5.5 |
11.7 |
31.6 |
48.5 |
4.2 |
43 |
4.4 |
|
Trail condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
6.1 |
0.0 |
15.3 |
55.9 |
22.6 |
3.9 |
77 |
3.9 |
|
Round 2, FY2007 |
0.0 |
4.7 |
9.4 |
14.1 |
71.8 |
4.5 |
22 |
4.7 |
|
Value for fee paid |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
8.5 |
7.9 |
35.5 |
31.2 |
16.8 |
3.4 |
51 |
3.9 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
7 |
4.8 |
*Scale is: Poor =
1 Fair = 2 Average = 3
Good = 4 Very good = 5
** Scale is: 1= not important 2= somewhat important 3=moderately important 4= important 5 = very important
*** number of
visitors who responded to this item.
Note:
For items with less than 10 responses the data was not reported
|
ITEM |
Poor |
Fair |
Average |
Good |
Very Good |
Average Rating * |
Number of Responses *** |
Mean Importance ** |
|
Restroom cleanliness |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
7.1 |
4.1 |
23.6 |
28.2 |
37.0 |
3.8 |
40 |
4.4 |
|
Round
2, FY2007 |
0.0 |
0.0 |
16.7 |
0.0 |
83.3 |
4.7 |
12 |
4.9 |
|
Developed facility condition |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.0 |
7.5 |
34.8 |
57.8 |
4.5 |
40 |
4.3 |
|
Round
2, FY2007 |
0.0 |
0.0 |
6.9 |
34.5 |
58.6 |
4.5 |
15 |
4.6 |
|
Condition of environment |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.0 |
0.1 |
35.8 |
64.1 |
4.6 |
46 |
4.5 |
|
Round
2, FY2007 |
0.0 |
0.0 |
6.9 |
17.2 |
75.9 |
4.7 |
15 |
4.9 |
|
Employee helpfulness |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.0 |
0.0 |
14.7 |
85.3 |
4.9 |
44 |
4.5 |
|
Round
2, FY2007 |
6.9 |
6.9 |
0.0 |
13.8 |
72.4 |
4.4 |
15 |
4.4 |
|
Interpretive display |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
. |
. |
. |
. |
. |
. |
0 |
. |
|
Round
2, FY2007 |
0.0 |
21.1 |
31.6 |
5.1 |
42.2 |
3.7 |
10 |
4.5 |
|
Parking availability |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
3.7 |
0.1 |
3.5 |
37.5 |
55.2 |
4.4 |
45 |
4.1 |
|
Round
2, FY2007 |
0.0 |
0.0 |
7.4 |
14.8 |
77.8 |
4.7 |
14 |
4.4 |
|
Parking lot condition |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.1 |
17.4 |
15.7 |
66.8 |
4.5 |
42 |
4.1 |
|
Round
2, FY2007 |
0.0 |
16.0 |
0.0 |
0.0 |
84.0 |
4.5 |
13 |
4.4 |
|
Rec. info. available |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.1 |
4.7 |
42.5 |
52.7 |
4.5 |
35 |
4.2 |
|
Round
2, FY2007 |
17.4 |
4.2 |
0.0 |
0.0 |
78.4 |
4.2 |
12 |
4.7 |
|
Road condition |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
4.0 |
12.0 |
48.7 |
35.4 |
4.2 |
43 |
4.0 |
|
Round
2, FY2007 |
0.0 |
16.0 |
0.0 |
19.9 |
64.1 |
4.3 |
13 |
4.4 |
|
Feeling of safety |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.1 |
0.1 |
23.7 |
76.1 |
4.8 |
46 |
4.6 |
|
Round
2, FY2007 |
0.0 |
0.0 |
7.1 |
14.3 |
78.6 |
4.7 |
14 |
4.8 |
|
Scenery |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.1 |
3.5 |
13.6 |
82.8 |
4.8 |
46 |
4.5 |
|
Round
2, FY2007 |
0.0 |
0.0 |
0.0 |
34.5 |
65.5 |
4.7 |
15 |
4.8 |
|
Signage adequacy |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
3.8 |
0.1 |
4.2 |
30.1 |
61.7 |
4.5 |
44 |
4.5 |
|
Round
2, FY2007 |
6.9 |
13.8 |
0.0 |
0.0 |
79.3 |
4.3 |
15 |
4.6 |
|
Trail condition |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
0.0 |
0.0 |
10.9 |
52.8 |
36.2 |
4.3 |
28 |
3.8 |
|
Round
2, FY2007 |
0.0 |
0.0 |
0.0 |
31.6 |
68.4 |
4.7 |
10 |
4.5 |
|
Value for fee paid |
|
|
|
|
|
|
|
|
|
Round
1, FY2001 |
4.9 |
4.9 |
5.7 |
25.1 |
59.4 |
4.3 |
28 |
4.1 |
|
Round
2, FY2007 |
7.1 |
7.1 |
7.1 |
0.0 |
78.6 |
4.4 |
14 |
4.8 |
*Scale is:
Poor = 1 Fair = 2 Average = 3
Good = 4 Very good = 5
** Scale is: 1= not important 2= somewhat important 3=moderately important 4= important 5 = very important
N obs means the number of visitors who responded
to this item.
Note: For items with less than 10 responses the
data was not reported
|
ITEM |
Poor |
Fair |
Average |
Good |
Very Good |
Average Rating * |
Number of Responses *** |
Mean Importance ** |
|
Restroom cleanliness |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
1.3 |
2.6 |
5.2 |
39.2 |
51.8 |
4.4 |
37 |
4.2 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
0 |
. |
|
Developed facility condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
1.9 |
1.9 |
64.3 |
31.8 |
4.3 |
46 |
4.0 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
1 |
. |
|
Condition of environment |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.6 |
0.0 |
1.3 |
34.0 |
64.0 |
4.6 |
73 |
4.7 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
9 |
. |
|
Employee helpfulness |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
3.3 |
17.2 |
79.5 |
4.8 |
62 |
4.2 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
3 |
. |
|
Interpretive display |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
. |
. |
. |
. |
. |
. |
0 |
. |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
7 |
. |
|
Parking availability |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
2.0 |
4.0 |
12.2 |
53.8 |
28.0 |
4.0 |
53 |
3.6 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
5 |
. |
|
Parking lot condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
1.3 |
7.2 |
5.0 |
61.9 |
24.6 |
4.0 |
44 |
3.4 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
4 |
. |
|
Rec. info. available |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.9 |
3.6 |
13.6 |
43.7 |
38.1 |
4.1 |
52 |
3.7 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
5 |
. |
|
Road condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
12.8 |
14.1 |
14.2 |
41.1 |
17.8 |
3.4 |
72 |
4.2 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
8 |
. |
|
Feeling of safety |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.7 |
0.0 |
8.5 |
32.6 |
58.2 |
4.5 |
70 |
4.4 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
9 |
. |
|
Scenery |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
8.2 |
1.9 |
3.2 |
86.8 |
4.7 |
73 |
4.8 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
9 |
. |
|
Signage adequacy |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
2.6 |
11.9 |
8.8 |
49.5 |
27.2 |
3.9 |
70 |
3.9 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
8 |
. |
|
Trail condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
17.2 |
0.0 |
7.5 |
54.2 |
21.1 |
3.6 |
43 |
4.1 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
9 |
. |
|
Value for fee paid |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
2.3 |
0.0 |
6.9 |
58.8 |
31.9 |
4.2 |
22 |
3.8 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
1 |
. |
*Scale is: Poor =
1 Fair = 2 Average = 3
Good = 4 Very good = 5
** Scale is: 1= not important 2= somewhat important 3=moderately important 4= important 5 = very important
N obs means the number of visitors who responded to this
item.
Note: For items with less than 10 responses
the data was not reported.
|
ITEM |
Poor |
Fair |
Average |
Good |
Very Good |
Average Rating * |
Number of Responses *** |
Mean Importance ** |
|
Restroom cleanliness |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
6.6 |
49.6 |
43.8 |
4.4 |
19 |
4.3 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
3 |
. |
|
Developed facility condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
5.1 |
32.3 |
62.7 |
4.6 |
17 |
4.5 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
5 |
. |
|
Condition of environment |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
11.2 |
0.0 |
0.0 |
4.7 |
84.1 |
4.5 |
29 |
4.9 |
|
Round 2, FY2007 |
7.8 |
0.0 |
0.0 |
20.3 |
71.9 |
4.5 |
14 |
4.6 |
|
Employee helpfulness |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
12.8 |
10.1 |
77.1 |
4.6 |
26 |
4.5 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
6 |
. |
|
Interpretive display |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
. |
. |
. |
. |
. |
. |
0 |
. |
|
Round 2, FY2007 |
10.9 |
0.0 |
10.9 |
50.0 |
28.2 |
3.8 |
10 |
4.2 |
|
Parking availability |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
15.4 |
30.4 |
54.2 |
4.4 |
29 |
3.8 |
|
Round 2, FY2007 |
7.8 |
0.0 |
0.0 |
23.5 |
68.6 |
4.5 |
14 |
3.9 |
|
Parking lot condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
17.2 |
28.3 |
54.5 |
4.4 |
27 |
3.7 |
|
Round 2, FY2007 |
0.0 |
0.0 |
0.0 |
30.5 |
69.5 |
4.7 |
13 |
4.1 |
|
Rec. info. available |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
5.1 |
10.2 |
17.2 |
24.2 |
43.3 |
3.9 |
25 |
4.0 |
|
Round 2, FY2007 |
0.0 |
0.0 |
13.5 |
52.5 |
34.0 |
4.2 |
13 |
4.5 |
|
Road condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
17.6 |
4.9 |
15.4 |
53.3 |
8.8 |
3.3 |
27 |
3.8 |
|
Round 2, FY2007 |
0.0 |
9.0 |
9.0 |
50.0 |
32.1 |
4.1 |
12 |
4.1 |
|
Feeling of safety |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
0.0 |
14.5 |
85.5 |
4.9 |
29 |
4.8 |
|
Round 2, FY2007 |
7.8 |
0.0 |
0.0 |
15.7 |
76.5 |
4.5 |
14 |
4.1 |
|
Scenery |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
0.0 |
0.0 |
0.0 |
0.5 |
99.5 |
5.0 |
29 |
4.9 |
|
Round 2, FY2007 |
7.8 |
0.0 |
0.0 |
15.7 |
76.5 |
4.5 |
14 |
4.6 |
|
Signage adequacy |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
19.6 |
4.2 |
19.6 |
33.2 |
23.4 |
3.4 |
29 |
4.2 |
|
Round 2, FY2007 |
23.5 |
15.7 |
12.4 |
28.1 |
20.3 |
3.1 |
14 |
4.2 |
|
Trail condition |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
3.7 |
0.0 |
12.1 |
63.1 |
21.0 |
4.0 |
29 |
4.0 |
|
Round 2, FY2007 |
8.5 |
0.0 |
0.0 |
30.5 |
61.0 |
4.4 |
13 |
4.4 |
|
Value for fee paid |
|
|
|
|
|
|
|
|
|
Round 1, FY2001 |
. |
. |
. |
. |
. |
. |
9 |
3.3 |
|
Round 2, FY2007 |
. |
. |
. |
. |
. |
. |
1 |
. |
*Scale is: Poor =
1 Fair = 2 Average = 3
Good = 4 Very good = 5
** Scale is: 1= not important 2= somewhat important 3=moderately important 4= important 5 = very important
N obs means the number of visitors who responded to this
item.
Note:
For items with less than 10 responses the data was not reported