Appendix A
Correcting for Inflation in Housing
Prices Using the Consumer Price Index
Brief Explanation of the Consumer Price Index
The Consumer Price Index (CPI) is a measure of the average change in prices over time in a fixed market basket of goods and services. The Bureau of Labor Statistics publishes CPIs for two population groups: (1) a CPI for All Urban Consumers (CPI-U) which covers approximately 80 percent of the total population and (2), a CPI for Urban Wage Earners and Clerical Workers (CPI-W) which covers 32 percent of the total population. The CPI-U includes, in addition to wage earners and clerical workers, groups such as professional, managerial, and technical workers, the self-employed, short-term workers, the unemployed, and retirees and others not in the labor force.Calculating Index ChangesThe CPI is based on prices of food, clothing, shelter, fuels, transportation fares, charges for doctors' and dentists' services, drugs, and other goods that people buy for day-to-day living. Prices are collected in 85 urban areas across the country from about 57,000 housing units and approximately 19,000 retail establishments-department stores, supermarkets, hospitals, filling stations, and other types of stores and establishments. All taxes directly associated with the purchase and use of items are included in the index. Prices of food, fuel, and a few other items are obtained every month in all 85 locations. Prices of most other commodities and services are collected every month in the five largest geographic areas and every other month in other areas. Prices of most goods and services are obtained by personal visits of the Bureau's trained representatives. Some data, such as used car prices, are obtained from secondary sources.
In calculating the index, price changes for the various items in each location are averaged together with weights which represent their importance in the spending of the appropriate population group. Local data are then combined to obtain a U.S. city average. Separate indexes are also published by size of city, by region of country, for cross-classifications of regions and population-size classes, and for 29 local areas. Area indexes do not measure differences in the level of prices among cities, they only measure the average change in prices for each area since the base period.
The indexes measure price change from a designated reference date, 1982-1984, which equals 100.0. An increase of 7 percent, for example, is shown as 107.0. This change can also be expressed in dollars as follows: The price of a base period "market basket" of goods and services in the CPI has risen from $100 in 1982-84 to $107.
For further details, see BLS Handbook of Methods, BLS Bulletin 2285, April 1988, and The Consumer Price Index: 1987 Revision, BLS Report 736, January 1987.
Movements of the indexes from one month to another are usually expressed as percent changes rather than changes in index points, because index point changes are effected by the level of the index in relation to its base period while percent changes are not. The example below illustrates the computation of index point and percent changes.Consumer Price Index All Urban Consumers (CPI-U)Index Point Change
CPI .............................. 112.5
Less Previous Index ........... 108.5
Equals index point change ....... 4.0Percent Change
Index point difference ....................... 4.0
Divided by the previous index ........... 108.5
Equals ......................................... 0.037
Results multiplied by one hundred ......... 0.037 x 100
Equals percent change ....................... 3.7Source: Bureau of Labor Statistics, U.S. Department of Labor, 1990s
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
Avg.
|
| 1967 | 30.5 | 30.5 | 30.5 | 30.6 | 30.7 | 30.7 | 30.8 | 30.9 | 30.9 | 31.0 | 31.1 | 31.2 |
30.8
|
| 1968 | 31.3 | 31.5 | 31.5 | 31.6 | 31.7 | 31.9 | 32.1 | 32.3 | 32.4 | 32.5 | 32.7 | 32.9 |
32.0
|
| 1969 | 32.9 | 33.1 | 33.4 | 33.6 | 33.8 | 33.9 | 34.1 | 34.3 | 34.5 | 34.6 | 34.8 | 35.0 |
34.0
|
| 1970 | 35.1 | 35.4 | 35.8 | 36.0 | 36.2 | 36.3 | 36.5 | 36.7 | 36.9 | 37.1 | 37.3 | 37.5 |
36.4
|
| 1971 | 37.5 | 37.5 | 37.4 | 37.4 | 37.7 | 37.9 | 38.1 | 38.2 | 38.3 | 38.5 | 38.6 | 38.7 |
38.0
|
| 1972 | 38.9 | 39.0 | 39.1 | 39.2 | 39.3 | 39.4 | 39.5 | 39.7 | 39.8 | 39.8 | 39.9 | 40.1 |
39.4
|
| 1973 | 40.1 | 40.3 | 40.4 | 40.5 | 40.7 | 40.8 | 40.9 | 41.2 | 41.6 | 42.1 | 42.5 | 42.8 |
41.2
|
| 1974 | 43.3 | 43.7 | 44.1 | 44.5 | 44.9 | 45.4 | 45.9 | 46.5 | 47.1 | 47.6 | 48.1 | 48.6 |
45.6
|
| 1975 | 49.0 | 49.5 | 49.7 | 50.0 | 50.2 | 50.5 | 50.7 | 50.9 | 51.3 | 51.5 | 52.0 | 52.3 |
50.7
|
| 1976 | 52.6 | 52.7 | 53.0 | 53.1 | 53.3 | 53.5 | 53.9 | 54.1 | 54.4 | 54.6 | 54.8 | 55.1 |
53.8
|
| 1977 | 55.5 | 55.9 | 56.2 | 56.6 | 56.8 | 57.3 | 57.7 | 58.0 | 58.4 | 58.6 | 58.9 | 59.2 |
57.4
|
| 1978 | 59.7 | 60.0 | 60.6 | 61.1 | 61.6 | 62.2 | 62.8 | 63.2 | 63.9 | 64.5 | 64.9 | 65.1 |
62.4
|
| 1979 | 65.6 | 66.4 | 67.0 | 67.7 | 68.5 | 69.4 | 70.3 | 71.3 | 72.2 | 73.2 | 74.1 | 75.0 |
70.1
|
| 1980 | 76.2 | 77.1 | 78.4 | 79.4 | 80.6 | 82.1 | 81.6 | 81.8 | 82.4 | 83.5 | 84.3 | 85.3 |
81.1
|
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
Avg.
|
| 1981 | 85.9 | 86.5 | 57.0 | 87.7 | 88.8 | 90.0 | 91.5 | 92.3 | 93.5 | 93.5 | 93.7 | 94.0 |
90.4
|
| 1982 | 94.3 | 94.6 | 94.4 | 95.3 | 96.6 | 97.8 | 98.3 | 98.6 | 98.4 | 98.8 | 98.2 | 97.4 |
96.9
|
| 1983 | 97.9 | 98.1 | 98.1 | 98.6 | 99.1 | 99.5 | 99.9 | 100.0 | 100.5 | 100.6 | 100.7 | 100.8 |
99.5
|
| 1984 | 101.4 | 101.9 | 102.1 | 102.6 | 103.0 | 103.5 | 104.0 | 104.5 | 105.1 | 105.1 | 105.0 | 105.1 |
103.6
|
| 1985 | 105.3 | 105.8 | 106.1 | 106.5 | 107.3 | 107.9 | 108.3 | 108.7 | 108.9 | 109.1 | 109.3 | 109.6 |
107.7
|
| 1986 | 109.9 | 109.8 | 109.9 | 110.2 | 110.4 | 111.2 | 111.3 | 111.6 | 112.0 | 111.8 | 111.4 | 111.5 |
110.9
|
| 1987 | 112.0 | 112.4 | 112.8 | 113.2 | 113.6 | 114.3 | 114.7 | 115.4 | 115.6 | 115.5 | 115.5 | 115.6 |
114.2
|
| 1988 | 116.2 | 116.6 | 117.0 | 117.3 | 117.7 | 118.6 | 119.1 | 119.5 | 119.9 | 119.9 | 119.9 | 120.2 |
118.5
|
| 1989 | 120.7 | 121.1 | 121.5 | 121.6 | 122.1 | 122.9 | 123.9 | 124.2 | 124.3 | 124.4 | 124.5 | 124.9 |
123.0
|
| 1990 | 125.9 | 126.1 | 126.8 | 126.8 | 127.1 | 128.3 | 129.2 | 130.2 | 130.5 | 130.6 | 130.4 | 130.5 |
128.5
|
| 1991 | 131.8 | 132.4 | 132.6 | 132.5 | 132.8 | 133.4 | 134.2 | 134.5 | 134.7 | 134.7 | 134.7 | 135.0 |
133.6
|
| 1992 | 135.7 | 136.1 | 136.6 | 136.5 | 136.7 | 137.7 | 138.3 | 138.6 | 138.6 | 138.5 | 138.5 | 138.5 |
137.5
|
| 1993 | 139.3 | 139.7 | 140.2 | 140.4 | 140.5 | 141.5 | 141.9 | 142.3 | 142.3 | 142.2 | 142.0 | 142.3 |
141.2
|
| 1994 | 142.9 | 143.7 | 144.1 | 143.9 | 144.1 | 144.9 | 145.4 |
Appendix B
Updating Consumer Good Values Using Consumer Price
Index City Average
Brief Explanation of the Consumer Price Index
The Consumer Price Index (CPI) is a measure of the average change in prices overtime in a fixed market basket of goods and services. The Bureau of Labor Statistics publishes CPls for two population groups: (1 ) a CPI for All Urban Consumers (CPI-U) which covers approximately 80 percent of the total population and (2), a CPI for Urban Wage Earners and Clerical Workers (CPIW) which covers 32 percent of the total population. The CPI-U includes, in addition to wage earners and clerical workers, groups such as professional, managerial, and technical workers, the self-employed, short-term workers, the unemployed, and retirees and others not in the labor force.Calculating Index ChangesThe CPI is based on prices of food, clothing, shelter, fuels, transportation fares, charges for doctors' and dentists' services, drugs, and other goods that people buy for day-to-day living. Prices are collected in 85 urban areas across the country from about 57,000 housing units and approximately 19,000 retail establishments-department stores, supermarkets, hospitals, filling stations, and other types of stores and establishments. All taxes directly associated with the purchase and use of items are included in the index. Prices of food, fuel, and a few other items are obtained every month in all 85 locations. Prices of most other commodities and services are collected every month in the five largest geographic areas and every other month in other areas. Prices of most goods and services are obtained by personal visits of the Bureau's trained representatives. Some data, such as used car prices, are obtained from secondary sources.
I n calculating the index, price changes for the various items in each location are averaged together with weights which represent their importance in the spending of the appropriate population group. Local data are then combined to obtain a U.S. city average. Separate indexes are also published by size of city, by region of country, for cross-classifications of regions and population size classes, and for 29 local areas. Area indexes do not measure differences in the level of prices among cities, they only measure the average change in prices for each area since the base period.
The indexes measure price change from a designated reference date, 19821984, which equals 100.0. An increase of 7 percent, for example, is shown as 107.0. This change can also be expressed in dollars as follows: The price of a base period "market basket" of goods and services in the CPI has risen from $100 in 1982-84 to $107.
For further details, see BLS Handbook of Methods, BLS Bulletin 2285, April 1988, and The Consumer Price Index: 1987 Pevision, BLS Report 736, January 1987.
Movements of the indexes from one month to another are usually expressed as percent changes rather than changes in index points, because index point changes are effected by the level of the index in relation to its base period while percent changes are not. The example below illustrates the computation of index point and percent changes.Source: Bureau of Labor Statistics, U.S. Department of Labor, 1990s
Index Point Change CPI Less previous index Equals index point change Percent Change Index point difference Divided by the previous index Equals Results multiplied by one hundred Equals percent change
All Urban Consumers
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
Avg
|
| 1970 | 37.8 | 38.0 | 38.2 | 38.5 | 38.6 | 38.8 | 39.0 | 39.0 | 39.2 | 39.4 | 39.6 | 39.8 |
38.8
|
| 1971 | 39.8 | 39.9 | 40.0 | 40.1 | 40.3 | 40.6 | 40.7 | 40.8 | 40.8 | 40.9 | 40.9 | 41.1 |
40.5
|
| 1972 | 41.1 | 41.3 | 41.4 | 41.5 | 41.6 | 41.7 | 41.9 | 42.0 | 42.1 | 42.3 | 42.4 | 42.5 |
41.8
|
| 1973 | 42.6 | 42.9 | 43.3 | 43.6 | 43.9 | 44.2 | 44.3 | 45.1 | 45.2 | 45.6 | 45.9 | 46.2 |
44.4
|
| 1974 | 46.6 | 47.2 | 47.8 | 48.0 | 48.6 | 49.0 | 49.4 | 50.0 | 50.6 | 51.1 | 51.5 | 51.9 |
49.3
|
| 1975 | 52.1 | 52.5 | 52.7 | 52.9 | 53.2 | 53.6 | 54.2 | 54.3 | 54.6 | 54.9 | 55.3 | 55.5 |
53.8
|
| 1976 | 55.6 | 55.8 | 55.9 | 56.1 | 56.5 | 56.8 | 57.1 | 57.4 | 57.6 | 57.9 | 58.0 | 58.2 |
56.9
|
| 1977 | 58.5 | 59.1 | 59.5 | 60.0 | 60.3 | 60.7 | 61.0 | 61.2 | 61.4 | 61.6 | 61.9 | 62.1 |
60.6
|
| 1978 | 62.5 | 62.9 | 63.4 | 63.9 | 64.5 | 65.2 | 65.7 | 66.0 | 66.5 | 67.1 | 67.4 | 67.7 |
65.2
|
| 1979 | 68.3 | 69.1 | 69.8 | 70.6 | 71.5 | 72.3 | 73.1 | 73.8 | 74.6 | 75.2 | 75.9 | 76.7 |
72.6
|
| 1980 | 77.8 | 78.9 | 80.1 | 81.0 | 81.8 | 82.7 | 82.7 | 83.3 | 84.0 | 84.8 | 85.5 | 86.3 |
82.4
|
| 1981 | 87.0 | 87.9 | 88.5 | 89.1 | 89.8 | 90.6 | 91.6 | 92.3 | 93.2 | 93.4 | 93.7 | 94.0 |
90.9
|
| 1982 | 94.3 | 94.6 | 94.5 | 94.9 | 95.8 | 97.0 | 97.5 | 97.7 | 97.9 | 98.2 | 98.0 | 97.6 |
96.5
|
| 1983 | 97.8 | 97.9 | 97.9 | 98.6 | 99.2 | 99.5 | 99.9 | 100.2 | 100.7 | 101.0 | 101.2 | 101.3 |
99.6
|
| 1984 | 101.9 | 102.4 | 102.6 | 103.1 | 103.4 | 103.7 | 104.1 | 104.5 | 105.0 | 105.3 | 105.3 | 105.3 |
103.9
|
| 1985 | 105.5 | 106.0 | 106.4 | 106.9 | 107.3 | 107.6 | 107.8 | 108.0 | 108.3 | 108.7 | 109.0 | 109.3 |
107.6
|
| 1986 | 109.6 | 109.3 | 108.8 | 108.6 | 108.9 | 109.5 | 109.5 | 109.7 | 110.2 | 110.3 | 110.4 | 110.5 |
109.6
|
| 1987 | 111.2 | 111.6 | 112.1 | 112.7 | 113.1 | 113.5 | 113.8 | 114.4 | 115.0 | 115.3 | 115.4 | 115.4 |
113.6
|
| 1988 | 115.7 | 116.0 | 116.5 | 117.1 | 117.5 | 118.0 | 118.5 | 119.0 | 119.8 | 120.2 | 120.3 | 120.5 |
118.3
|
| 1989 | 121.1 | 121.6 | 122.3 | 123.1 | 123.8 | 124.1 | 124.4 | 124.6 | 125.0 | 125.6 | 125.9 | 126.1 |
124.0
|
| 1990 | 127.4 | 128.0 | 128.7 | 128.9 | 129.2 | 129.9 | 130.4 | 131.6 | 132.7 | 133.5 | 133.8 | 133.8 |
130.7
|
| 1991 | 134.6 | 134.8 | 135.0 | 135.2 | 135.6 | 136.0 | 136.2 | 136.6 | 137.2 | 137.4 | 137.8 | 137.9 |
136.2
|
| 1992 | 138.1 | 138.6 | 139.3 | 139.5 | 139.7 | 140.2 | 140.5 | 140.9 | 141.3 | 141.8 | 142.0 | 141.9 |
140.3
|
| 1993 | 142.6 | 143.1 | 143.6 | 144.0 | 144.2 | 144.4 | 144.4 | 144.8 | 145.1 | 145.7 | 145.8 | 145.8 |
144.5
|
| 1994 | 146.2 | 146.7 | 147.2 | 147.5 | 147.5 | 148.0 | 148.4 |
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
Avg
|
| 1971 | 5.3 | 5.0 | 4.7 | 4.2 | 4.4 | 4.6 | 4.4 | 4.6 | 4.1 | 3.8 | 3.3 | 3.3 |
4.4
|
| 1972 | 3.3 | 3.5 | 3.5 | 3.5 | 3.2 | 2.7 | 2.9 | 2.9 | 3.2 | 3.4 | 3.7 | 3.4 |
3.2
|
| 1973 | 3.6 | 3.9 | 4.6 | 5.1 | 5.5 | 6.0 | 5.7 | 7.4 | 7.4 | 7.8 | 8.3 | 8.7 |
6.2
|
| 1974 | 9.4 | 10.0 | 10.4 | 10.1 | 10.7 | 10.9 | 11.5 | 10.9 | 11.9 | 12.1 | 12.2 | 12.3 |
11.0
|
| 1975 | 11.8 | 11.2 | 10.3 | 10.2 | 9.5 | 9.4 | 9.7 | 8.6 | 7.9 | 7.4 | 7.4 | 6.9 |
9.1
|
| 1976 | 6.7 | 6.3 | 6.1 | 6.0 | 6.2 | 6.0 | 5.4 | 5.7 | 5.5 | 5.5 | 4.9 | 4.9 |
5.8
|
| 1977 | 5.2 | 5.9 | 6.4 | 7.0 | 6.7 | 6.9 | 6.8 | 6.6 | 6.6 | 6.4 | 6.7 | 6.7 |
6.5
|
| 1978 | 6.8 | 6.4 | 6.6 | 6.5 | 7.0 | 7.4 | 7.7 | 7.8 | 8.3 | 8.9 | 8.9 | 9.0 |
7.6
|
| 1979 | 9.3 | 9.9 | 10.1 | 10.5 | 10.9 | 10.9 | 11.3 | 11.8 | 12.2 | 12.1 | 12.6 | 13.3 |
11.3
|
| 1980 | 13.9 | 14.2 | 14.8 | 14.7 | 14.4 | 14.4 | 13.1 | 12.9 | 12.6 | 12.8 | 12.6 | 12.5 |
13.5
|
| 1981 | 11.8 | 11.4 | 10.5 | 10.0 | 9.8 | 9.6 | 10.8 | 10.8 | 11.0 | 10.1 | 9.6 | 8.9 |
10.3
|
| 1982 | 8.4 | 7.6 | 6.8 | 6.5 | 6.7 | 7.1 | 6.4 | 5.9 | 5.1 | 5.1 | 4.6 | 3.8 |
6.2
|
| 1983 | 3.7 | 3.5 | 3.6 | 3.9 | 3.5 | 2.6 | 2.5 | 2.6 | 2.9 | 2.9 | 3.3 | 3.8 |
3.2
|
| 1984 | 4.2 | 4.6 | 4.8 | 4.6 | 4.2 | 4.2 | 4.2 | 4.3 | 4.3 | 4.3 | 4.1 | 3.9 |
4.3
|
| 1985 | 3.5 | 3.5 | 3.7 | 3.7 | 3.8 | 3.8 | 3.6 | 3.3 | 3.1 | 3.2 | 3.5 | 3.8 |
3.6
|
| 1986 | 3.9 | 3.1 | 2.3 | 1.6 | 1.5 | 1.8 | 1.6 | 1.6 | 1.8 | 1.5 | 1.3 | 1.1 |
1.9
|
| 1987 | 1.5 | 2.1 | 3.0 | 3.8 | 3.9 | 3.7 | 3.9 | 4.3 | 4.4 | 4.5 | 4.5 | 4.4 |
3.6
|
| 1988 | 4.0 | 3.9 | 3.9 | 3.9 | 3.9 | 4.0 | 4.1 | 4.0 | 4.2 | 4.2 | 4.2 | 4.4 |
4.1
|
| 1989 | 4.7 | 4.8 | 5.0 | 5.1 | 5.4 | 5.2 | 5.0 | 4.7 | 4.3 | 4.5 | 4.7 | 4.6 |
4.8
|
| 1990 | 5.2 | 5.3 | 5.2 | 4.7 | 4.4 | 4.7 | 4.8 | 5.6 | 6.2 | 6.3 | 6.3 | 6.1 |
5.4
|
| 1991 | 5.7 | 5.3 | 4.9 | 4.9 | 5.0 | 4.7 | 4.4 | 3.8 | 3.4 | 2.9 | 3.0 | 3.1 |
4.2
|
| 1992 | 2.6 | 2.8 | 3.2 | 3.2 | 3.0 | 3.1 | 3.2 | 3.1 | 3.0 | 3.2 | 3.0 | 2.9 |
3.0
|
| 1993 | 3.3 | 3.2 | 3.1 | 3.2 | 3.2 | 3.0 | 2.8 | 2.8 | 2.7 | 2.8 | 2.7 | 2.7 |
3.0
|
| 1994 | 2.5 | 2.5 | 2.5 | 2.4 | 2.3 | 2.5 | 2.8 |
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Appendix C
Survey Questions
All of the survey questions included in this Appendix were designed for a study on the economic impact of rail-trails, which was completed by the National Park Service and Pennsylvania State University in August 1991. The questions were designed by Dr. Alan Graefe, Dr. Richard Gitelson at Pennsylvania State University, and Roger Moore at North Carolina State University.Questions Regarding Property ValuesFor further information on these questions or the study, contact Roger Moore at (814) 865-1851 or Beth Dillon, National Park Service Rails-to-Trail Program Manager, at (202) 343-3766. (Representatives of federal agencies planning on conducting a survey of the general public must receive survey approval by the Office of Management and Budget.)
The questions listed below are suggested types of questions. The exact wording will depend upon the type of project and whether you are interviewing landowners or real estate specialists. A scale of one to seven is suggested for some of the questions to get a better understanding of the respondents perceptions. Before conducting your own survey, we recommend you get assistance from someone who has experience devising and conducting surveys. These questions addressing property values have not yet been tested.Questions Regarding Tourism and Local Resident Expenditures1. Where is the (trail, greenway) in relation to your property? (Check one)
__The trail runs through my property
__The trail runs along the edge of my property
__The trail is near my property but not touching it
__Don't know2. About how far is the house from the nearest part of the (trail, greenway)?
__Feet or __Miles
3. Which part of the house faces the (trail or greenway)?
__Front
__Back
__Side4. Did you buy this property before the (trail, greenway) was opened?
__Yes
__NoIf no, how did the presence of the trail affect your decision to buy the property?
Added to property's appeal Detracted from property_s appeal
___1 ___2 ___3 ___4 ___5 ___6 ___75. If you were to try to sell this property, do you think being near the trail would make it harder or easier to sell?
Much easier to sell Harder to sell
___1 ___2 ___3 ___4 ___5 ___6 ___76. How do you think being located near the (trail, greenway) has affected the resale value of this property? (Check one)
__The trail has lowered the value of my property.
__The trail has increased the value of my property.
__The trail has no effect on the resale value of my property.7. How much do you think that being near the trail has raised or lowered the value of this property?
______ %8. What experience or evidence makes you feel the property value has been affected in this way?
Surveys may be conducted to estimate user spending during typical use, or, a survey could be conducted during a special event held at your river, trail or greenway. The questions listed below are designed to estimate the spending by the group of users rather than individuals within the group. Group expenditures can then be divided by the total number of people to estimate average expenditures.We recommend you get assistance from someone who has experience devising and conducting surveys.
1. How many people from each of the following age categories are in your group on the (trail, river, greenway) today? (Please include yourself and write the numbers in the spaces provided)
2. Is your visit to this trail part of an overnight trip away from home?
___15 and under
___16 to 25
___26 to 35
___36 to 45___46 to 55
___56 to 65
___66 and over___ Yes ___ No (If no, go to question #3)
a. How many days will you be away from home during this trip?___
b. During your stay, how many nights will you be using each of the following accommodations in this area? (Please write number in space provided)
___Hotel/motel
___State campground
___Private campground
___Rented home or cottage
___With friends or relatives
___Other (Please specify)c. Was visiting (river, trail or greenway) one of the reasons for your trip to this area?
___ Yes ___ No
(If yes, was it the primary reason? ___ Yes ___ No)
(If no, what was the primary reason for this visit? ____________3. In the spaces below, please list the estimated expenditures made as a result of your entire trip to the (river, trail or greenway). If you paid all of your own expenses and no one else's, report only the amounts you actually spent in each category. If your group shared some or all expenses (group members made some purchases for one another), please report your estimates of the amounts spent by the entire group in each category.
Please include all the expenses associated with that particular trip from your preparations before leaving home until your return home. Please indicate where the expenditures took place by recording the amounts in the appropriate columns. Refer to the map on the facing page to help determine what is included in the local county.
Amount spent in:
(NOTE: You may wish to estimate spending for your local economy only)Estimated amount spent for:
Estimated amount spent for: Local
economyIn state
economyOutside
economya. Restaurants
(including fast food, sit down, etc.)b. Food and beverage (retail) c. Lodging expenses: hotel motel camping other
_______ _______ ______________ _______ _______
(retail)
_______ _______ _______
_______ _______ _______
_______ _______ _______
_______ _______ _______d. Retail purchases _________________________________
(personal items, souvenirs purchased during trip) excluding durable purchases for equipment.e. Auto expenses:
gas and oil _______
repairs and service _______
parking and tolls _______f. Other transportation costs:
airfare and busfare _______
public transit, taxis, etc _______g. Film and developing _______
h. Fees for other attractions/entertainment _______
i. All other expenses for this trip (program fees, licenses, rental fees for bikes, skis, etc) please specify ____________________
4. During the last twelve months, what percentage of the total days you participated in each of the following activities took place on the (trail, river, or greenway? (If you did not participate in a particular activity, please mark an "X".)
(NOTE: For your greenway or river project you should list appropriate activities. The activities listed below are appropriate for trails.)_______% Walking
_______% Running
_______% Bicycling
_______% Cross Country Skiing
_______% Snowmobiling
_______% Other activity (please specify _________________)5. Please list any expenditures you made related to this activity during the last twelve months if the decision to buy the item was influenced by the existence of the(river, trail or greenway). Only include expenditures for durable items that are used for more than one trip and do not include items you already accounted for related to your specific trip.
(NOTE: You may want to estimate spending for local economy only.)
(NOTE: For your greenway or river project you should list appropriate durables. The durables listed below are appropriate for trails.)
Amount you spent for: Local
economyIn state
economyOutside
economyEstimated amount spent for: a. Clothing (clothing, shoesboots, hats, etc.) b. Equipment (bicycles, skis, snowmobiles, trailers, etc) c. Accessories (bike racks, water bottles, helmets, radios, spare parts, cameras, etc) d. Books, guides, maps, etc. e. Memberships/
subscriptions, program fees, etc.f. Other expenditures for durables (Please specify):