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EXHIBIT #1
Regular Council Meeting of 10/01/2007
Revenue Projection
& Tracking System
Dover City Council Presentation
October 1, 2007
EXHIBIT #1
Jim Butkiewicz
Regular Council Meeting of 10/01/2007
University of Delaware
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I. OVERVIEW
A. Economic Forecasting
B. Input into budget process
II. REVENUE FORECASTS
Excel demonstration
III. REVENUE TRACKING
Excel demonstration
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Important Variables
Fiscal Year: 2007
Year to Use
Kent County Population (2 Yrs ago): 143,968 2005
Kent County Population (Last Year): 147,675 2006
Kent County Population (This Year): 150,606 2007
US Housing Starts: 1,581 2007
US GDP (Billions of Dollars): 13,948.70 2007
Kent County Civilian Labor Force: 75,809.00 2007
US Unemployment Rate: 4.6 2007
Previous Year's Construction Values: 91,769,464 2006
Trend for Trash Fee Rebate: 6
All Other Trends: 10
Dover Construction Values: 64,919,822 2007
Change in Kent Population: 2,931 2007
Change in Kent Pop Last Year: 3,707 2006
Delaware Personal Income: 139,180 2007
Dover Employment: 17,618 2007
Dover Unemployment: 500 2007
Equations Used:
PINC_DE = 9.977983469*USGDP
EMPDOVER = 0.2427109343*CLFKENT - 169.9573527*USUNEMPRATE
UNEMPDOVER = -0.004577414177*PINC_DE + 103.4566404*USUNEMPRATE + 0.008719727908*CLFKENT
CONSTRUC_VALUES = 32333.28525*USHOUSING_STARTS + 4708.596909*D(KENT_POP) - 20761436.33*D_UNDER_05 + 45516044.16*D01
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Business Licenses
Forecast: $ 67,906
Variables Needed:
Previous Year's Business Licenses:
Other Variables Used:
Construction Values: 64,919,821.52
Equation Used:
BUS_LICENSES = 0.9663858704*BUS_LICENSES(-1) + 0.001046244651*CONSTRUC_VALUES + 0.0007918606757*D_UNDER_05*CONSTRUC_VALUES
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Property Taxes
Revised
1st Qtr
Forecast Amount: 9,453,511.00 9,560,000
Actual Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
9,477,359.35 33,287.90
Cumulative Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
9,477,359.35 9,510,647.25
Cumulative Percent of Forecast Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
100.25% 100.60%
Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
Historic High % of Total: 100.21% 100.04% 99.89% 100.06% 100.06% 100.06% 100.59% 100.58% 100.58% 100.64% 100.64% 100.00%
Cumulative Percent of Forecast Collected: 100.25% 100.60%
Historic Low % of Total: 98.42% 98.38% 98.38% 98.93% 98.93% 98.93% 99.21% 99.53% 99.53% 99.55% 99.55% 100.00%
Historic Average % of Total: 99.21% 99.10% 99.20% 99.50% 99.48% 99.59% 99.86% 99.87% 99.88% 99.99% 100.00% 100.00%
Historic Median % of Total: 99.10% 99.10% 99.32% 99.57% 99.52% 99.62% 99.88% 99.88% 99.88% 100.00% 100.00% 100.00%
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Realty Transfer Taxes
Revised
1st Qtr
Forecast Amount: 2,650,222.00
Actual Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
243,227.18 327,026.83
Cumulative Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
243,227.18 570,254.01
Cumulative Percent of Forecast Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
9.18% 21.52%
Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
Historic High % of Total: 33.80% 38.97% 50.19% 56.05% 63.16% 69.69% 73.31% 78.25% 83.74% 88.36% 94.63% 100.00%
Cumulative Percent of Forecast Collected: 9.18% 21.52%
Historic Low % of Total: 4.07% 6.70% 13.39% 18.91% 22.28% 25.12% 27.70% 55.10% 59.77% 64.74% 84.04% 100.00%
Historic Average % of Total: 10.54% 18.23% 28.33% 37.72% 44.56% 53.78% 59.48% 68.46% 76.07% 82.20% 90.77% 100.00%
Historic Median % of Total: 8.88% 16.91% 25.94% 37.93% 47.46% 55.32% 62.36% 70.33% 77.31% 83.20% 91.04% 100.00%
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Business Licenses
Revised
1st Qtr
Forecast Amount: 1,320,000.00 1,350,000
Actual Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
1,202,985.20 99,009.61
Cumulative Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
1,202,985.20 1,301,994.81
Cumulative Percent of Forecast Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
91.14% 98.64%
Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
Historic High % of Total: 84.77% 93.58% 95.69% 96.95% 97.52% 97.91% 98.50% 98.75% 99.43% 99.76% 100.02% 100.00%
Cumulative Percent of Forecast Collected: 91.14% 98.64%
Historic Low % of Total: 13.17% 14.20% 14.23% 83.02% 85.20% 87.61% 87.93% 88.13% 88.54% 88.71% 89.37% 100.00%
Historic Average % of Total: 59.99% 80.88% 84.70% 92.98% 94.02% 95.09% 96.55% 97.17% 97.68% 98.29% 98.70% 100.00%
Historic Median % of Total: 71.16% 88.06% 91.37% 94.10% 95.13% 95.83% 97.78% 98.11% 98.67% 99.13% 99.64% 100.00%
Revenue revised already over budget amount.
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Building Permits
Revised
1st Qtr
Forecast Amount: 600,000.00
Actual Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
75,772.50 77,374.00
Cumulative Amount Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
75,772.50 153,146.50
Cumulative Percent of Forecast Collected: Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
12.63% 25.52%
Jul Aug Sept Oct Nov Dec Jan Feb Mar Apr May Jun
Historic High % of Total: 20.60% 29.94% 37.41% 41.53% 64.37% 73.67% 77.25% 79.40% 82.67% 89.73% 96.88% 100.00%
Cumulative Percent of Forecast Collected: 12.63% 25.52%
Historic Low % of Total: 3.30% 5.19% 8.30% 19.32% 20.42% 27.92% 33.59% 48.90% 56.50% 59.26% 68.94% 100.00%
Historic Average % of Total: 9.61% 17.15% 22.82% 32.36% 41.99% 53.69% 60.87% 67.40% 72.48% 78.97% 88.10% 100.00%
Historic Median % of Total: 5.10% 17.35% 23.69% 35.77% 43.96% 49.83% 61.96% 70.25% 73.32% 82.34% 92.05% 100.00%
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EXHIBIT #2
Regular Council Meeting of 10/01/2007
Forecasting Annual Revenue
Regression Forecasts
Regression equations have been estimated using available data, in most cases for ten years.
The number of years is less where data are not available.
The regression forecasting equations are based on historical relationships. A change in the
relationship will affect the accuracy of the estimating equation. Tax revenues are the product of a
tax rate(s) and tax base. A change in the rate or base will change the relationship. Thus, annexation
of new land, a change in the method of assessment, or a rate change will change property tax
revenue. This will affect the usefulness of the forecasting model.
Forecasts should be used in conjunction with expert opinion when developing planned
budgets. The forecasting model uses forecasts of several variables, including construction in Dover.
Given Dover’s relatively small size, a significant project, such as construction of a large commercial
or industrial property, will affect annual construction but will not be captured by the forecasting
model, since these singular events average out over time. For example, if the construction
forecasting equation predicts construction of $100 million, but actual construction is expected to be
$130 million due to a large project, override the model estimate and use $130. An alternative, since
the forecasting spreadsheet can be used repeatedly, is to estimate revenues using both $100 million
and $130 million of construction, to establish a range of likely revenue.
Using the Forecasting Spreadsheets
The forecasting file consists of twenty-five spreadsheets. The first computes forecasts of key
variables used to forecast revenues. The second computes the forecasts for construction values from
three different equations and requires a manual entry to be entered for the actual prediction. The
next twenty-two sheets compute forecast values for twenty-two revenue items. The last sheet
forecasts general revenue. (The general revenue forecast is a separate forecast, not the sum of the
twenty other forecasts. Thus, the general revenue forecast may different from the forecast obtained
by adding the forecasts of the component revenue sources.)
Variables used for forecasts
The first sheet computes the variables used for the forecasts. Ten items must be entered in
the red cells on this sheet. The first is the fiscal year which is being forecast (line 3). This is
important because several forecasts include time trends. Trends are the number of years beginning
with the first year in the data set. The forecasting sheets automatically compute this count by
subtracting the beginning year from the fiscal year. (All trends begin in 1997 except the trash fee
rebate which begins in 2001.)
The next data to enter are Kent County population and labor force data. These are obtained
from the Delaware Population Consortium. Their web site is:
http://stateplanning.delaware.gov/information/dpc_projections.shtml
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On this site, go to Single year projection, 2000-2030 at:
http://stateplanning.delaware.gov/information/dpc/dpc_2006v0_single_year.xls
There is a Kent County tab which has data for population and civilian labor force. Once you
enter the fiscal year in the forecasting spreadsheet, the calendar year which must be entered in each
cell appears to the right of the cell. In the Kent County spreadsheet, population data for each year
is on line 5. The civilian labor force data is on line 17. Enter the data for the appropriate year.
Enter the population values for the current and two previous fiscal years (lines 5 – 7). Enter the
civilian labor force (line 13) values.
Next you need to enter forecasts for three national variables, GDP (line11), housing starts
(line 9) and the unemployment rate (line 15). These can be obtained from the web site of the Federal
Reserve Bank of Philadelphia, which publishes two forecasts: the Survey of Professional
Forecasters and the Livingston Survey. The forecasts links can be found at:
http://www.philadelphiafed.org/econ/forecast/index.html
For the Livingston Survey, click on the most recent date in the column on the right (currently
June 2007). This will connect you to the latest survey release. You need the data for 2008. Scroll
down to Table 1. The GDP data are in line 2, the housing starts in line 6 and unemployment in line
9. Note: Both surveys list housing starts in millions of units. Convert this to thousands by
moving the decimal point three spaces to the right. If the last space is blank, just make it a
zero. Thus 1.531 should be entered as 1531.
Click on the most recent link for the Survey of Professional Forecasters. Scroll down to
Table 1. Here the GNP data are in line 1, the housing data in line 7, and the unemployment data in
line 4. As noted above, move the decimal three spaces to the right for the housing number.
Which forecast is better? The answer is neither. They tend to be very similar. You can try
both sets of numbers or average the two. Here are the data for the most recent 2008 forecasts:
Survey of Professional Forecasters Livingston Survey
GDP $14617.2 $14611.2
Housing 1.55 (Enter 1550) 1.531 (Enter 1531)
Unemployment Rate 4.8 4.8
Finally, enter the dollar value of construction in Dover for the previous fiscal year (line 17).
Construction is the key!
Once these values are entered , three estimates of Dover construction for the current fiscal
year appear on lines 4-6 of the next sheet. An average of the three estimates is also given on the
same sheet. Then, you can enter the construction value you think is appropriate in the red box on
line 11 and review the various revenue categories that are affected by construction. You can use any
of the estimates on this sheet, the average estimate, or any other value that you feel is an appropriate
estimate for the current fiscal year’s construction. You can change this value as often as you choose.
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Completing the Forecast
For eight revenue categories, you need to enter the previous fiscal year revenue in the
appropriate red box on the sheet for each revenue item. These revenue categories are:
Business Licenses
Rental Dwelling Permits
Trash Revenue
Property Taxes
Water Fees
Sewer Fees
Fuel/Waste-Water Adjust
General Fund Total Revenue
Choosing among alternatives
For several revenue categories, there was no statistical basis to choose among two or more
estimating equations. In these cases two or more estimates appear on the respective forecast sheet.
Over time one estimate may prove to be superior to the other(s). The items with two or more
forecasts are:
Recreation Revenue
Rental Dwelling Permits
Trash Revenue
Trash Fee Rebate
Property Taxes
Penalties – Taxes
Chancery Court Fees
Water Fees
Sewer Fees
Fuel/Waste-Water Adjust
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EXHIBIT #3
Regular Council Meeting of 10/01/2007
Important Variables:
Fiscal Year: 2007
Year to Use
Kent County Population (2 Yrs ago): 143,968 2005
Kent County Population (Last Year): 147,675 2006
Kent County Population (This Year): 150,606 2007
US Housing Starts: 1,581 2007
US GDP (Billions of Dollars): 13,948.70 2007
Kent County Civilian Labor Force: 75,809.00 2007
US Unemployment Rate: 4.6 2007
Previous Year's Construction Values: 91,769,464 2006
Trend for Trash Fee Rebate: 6
All Other Trends: 10
Dover Construction Values: 64,919,822 2007
Change in Kent Population: 2,931 2007
Change in Kent Pop Last Year: 3,707 2006
Delaware Personal Income: 139,180 2007
Dover Employment: 17,618 2007
Dover Unemployment: 500 2007
Equations Used:
PINC_DE = 9.977983469*USGDP
EMPDOVER = 0.2427109343*CLFKENT - 169.9573527*USUNEMPRATE
UNEMPDOVER = -0.004577414177*PINC_DE + 103.4566404*USUNEMPRATE +
0.008719727908*CLFKENT
CONSTRUC_VALUES = 32333.28525*USHOUSING_STARTS + 4708.596909*D(KENT_POP) -
20761436.33*D_UNDER_05 + 45516044.16*D01
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Building Permits:
Forecast: $ 457,815
Variables Used:
Construction Values: 64,919,821.52
Equation Used:
BUILD_PERMITS = 0.006040382563*CONSTRUC_VALUES +
0.0004051900263*CONSTRUC_VALUES*D_UNDER_05 +
0.001011669087*CONSTRUC_VALUES*DUMMY_05
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Business Licenses:
Forecast: $ 67,906
Variables Needed:
Previous Year's Business Licenses:
Other Variables Used:
Construction Values: 64,919,821.52
Equation Used:
BUS_LICENSES = 0.9663858704*BUS_LICENSES(-1) + 0.001046244651*CONSTRUC_VALUES +
0.0007918606757*D_UNDER_05*CONSTRUC_VALUES
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Franchise Fees:
Forecast: $ 287,205
Variables Used:
Construction Values: 64,919,821.52
Equation Used:
FRANCHISE_FEES = 0.004423606806*CONSTRUC_VALUES
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Impact Fee:
Forecast: $ 917,419
Variables Used:
Construction Values- Previous Fiscal Year: 91,769,464
Equation Used:
IMPACT_FEE = 0.009996850321*CONSTRUC_VALUES(-1) +
0.005293997312*D_UNDER_05*CONSTRUC_VALUES(-1)
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Library Fines:
Forecast: $ 35,587
Variables Used:
Kent Population: 150,606.00
Equation Used:
FINES_REC = 0.2362922634*KENT_POP - 26424.1675*D99
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Plumbing and HVAC
Forecast: $ 59,791
Variables Used:
Construction Values: 64,919,821.52
Equation Used:
PLUMB_HVAC = 0.000921251994*CONSTRUC_VALUES +
0.0006137289897*CONSTRUC_VALUES*D_UNDER_05
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Recreation Revenue:
Forecast:
a. $ 112,305
b. $ 103,348
Variables Used:
Delaware Personal Income: 139,180
Dover Employment: 17,618
Kent Population: 150,606
Equations Used:
a. REC_REVENUE = 0.5116696698*PINC_DE + 2.332326054*EMPDOVER
b. REC_REVENUE = 0.6862164381*KENT_POP
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Rental Dwelling Permits (Inspection Fee):
Forecast:
a. $ 214,006
b. $ 288,919
Variables Needed:
Previous Year's Inspection Fee:
Other Variables Used:
Previous Year's Construction Values: 91,769,464
Trend: 10
Equations Used:
a. RENT_INSP_FEE = 0.3252664469*RENT_INSP_FEE(-1) + 0.002331614878*CONSTRUC_VALUES(-
1) + 0.0002365761847*CONSTRUC_VALUES(-1)*D_UNDER_05
b. RENT_INSP_FEE = 170198.4884 + 11872.00743*@TREND
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Trash Revenue:
Forecast:
a. $ 53,970
b. 1075199.747
Variables Needed:
Previous Year's Trash Revenue:
Variables Used:
Construction Values: 64,919,822
Trend 10
Change in Trash Revenue: 53,970
Equation Used: (Change in Revenue)
a. D(TRASH_REVENUE) = 0.000831336216*CONSTRUC_VALUES +
2.452125123*D_2001_INC*TRASH_REVENUE(-1)
b. TRASH_REVENUE = 41405.31083 + 46425.97111*@TREND + 569534.7253*D2001ANDAFTER
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Trash Fee Rebate:
Forecast:
a. $ 103,173
b. $ 155,467
Variables Used:
Previous Year Construction Values: 91,769,464
Forecast for Trash Rev This Year: 53,970.20
Equations Used:
a. TRASH_FEE_REBATE = 0.001065016912*CONSTRUC_VALUES(-1) + 0.1007641549*TRASH_RE
b. TRASH_FEE_REBATE = 195090.339 - 6603.916286*TREND
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Book Reimbursement:
Forecast: $ 324,635
Variables Used:
Kent Population: 150,606
Equation Used:
BOOK_REIMB = 1.393779152*KENT_POP + 0.7617456638*KENT_POP*D1998 +
0.504370224*KENT_POP*D1998*D2006
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Realty Transfer Taxes:
Forecast: $ 2,272,837
Variables Used:
Construction Values: 64,919,822
Previous Year's Change in Kent Population: 3,707
Equation Used:
REALTY_TRANS = 0.003887182251*CONSTRUC_VALUES + 545.048135*D(KENT_POP(-1))
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Property Taxes:
Forecast:
a. $ 188,073
b. $ 111,597
c. $ 161,147
Variables Needed:
Previous Year's Property Tax:
Variables Used:
Construction Values: 64,919,822
Previous Year's Construction Values: 91,769,464
Change in Property Tax:
a. 188,073
b. 111,597
c. 161,147
Equations Used: (Change in Prop Tax)
a. D(PROP_TAX) = 0.002896700912*CONSTRUC_VALUES +
0.1290702924*DUMMY_06*PROP_TAX(-1)
b. D(PROP_TAX) = 0.001719049003*CONSTRUC_VALUES + 0.1240535116*D03*PROP_TAX(-1) +
0.1442851078*D06*PROP_TAX(-1)
c. D(PROP_TAX) = 0.00175637625*CONSTRUC_VALUES(-1) + 0.1266037121*D03*PROP_TAX(-1) +
0.1494077685*D06*PROP_TAX(-1)
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PD Fines:
Forecast: $ 286,399
Variables Used:
Kent Population: 150,606
Dover Unemployment: 500
Equation Used:
PD_FINES = 3.186059305*KENT_POP - 386.9978006*UNEMPDOVER
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JP Court Fines:
Forecast: $ 241,642
Variables Used:
Kent Population: 150,606
Dover Unemployment: 500
Equation Used:
JP_COURT_FINES = 1.167047822*KENT_POP + 131.7952004*UNEMPDOVER
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Common Pleas Fines:
Forecast: $ 146,415
Variables Used:
Kent Population: 150,606
Dover Unemployment: 500
Equation Used:
COMM_PLEAS_FINES = 1.458801402*KENT_POP - 146.6219625*UNEMPDOVER
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Penalties- Taxes:
Forecast:
a. $ 64,772
b. $ 66,851
Variables Used:
Delaware Personal Income: 139,180
Dover Unemployment: 500
Dover Construction Values: 64,919,822
Equations Used:
a. PENALTIES_TAX = 0.3585283544*PINC_DE + 5.335351309*UNEMPDOVER +
0.0001877571097*CONSTRUC_VALUES - 0.0002845106049*D_UNDER_05*CONSTRUC_VALUES
b. PENALTIES_TAX = 0.3963606068*PINC_DE + 0.0001799863119*CONSTRUC_VALUES -
0.0003034732051*D_UNDER_05*CONSTRUC_VALUES
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Police Extra Duty:
Forecast: $ 288,033
Variables Used:
Dover Unemployment: 500
Kent Population: 150,606
Delaware Personal Income: 139,180
Trend: 10
Equations Used:
POLICE_EXTRA_DUTY = -119.7434178*UNEMPDOVER + 0.104654286*KENT_POP +
2.386301185*PINC_DE + 170927.2146*D01TO03
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Chancery Court Fees:
Forecast:
a. $ 690,880
b. $ 822,579
c. $ 696,130
d. $ 841,680
Variables Used:
Delaware Personal Income: 139,180
Kent Population: 150,606
US GDP: 13,949
Trend: 10
Equations Used:
a. CHANCERY_FEES = 4.963935407*PINC_DE
b. CHANCERY_FEES = 22.53647125*PINC_DE - 15.3648858*KENT_POP
c. CHANCERY_FEES = 49.90643494*USGDP
d. CHANCERY_FEES = -269520 + 111120*@TREND
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Water Fees
Forecast:
a. $ 4,329,803
b. $ 4,319,628
Variables Needed:
Previous Year's Water Fees: 4,289,413.00
Variables Used:
Construction 64,919,821.52
Trend 10
Change in Water Fees: 30,215
Equations Used:
a. WATER_FEES = 2931166.157 + 40389.16*@TREND + 574394.9267*D03 + 420349.8967*D06
b. D(WATER_FEES) = 0.0004654267092*CONSTRUC_VALUES + 0.1996901485*D2003*WATER_FEES(-
1) + 0.1201311865*D06*WATER_FEES(-1)
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Sewer Fees
Forecast:
a. $ 2,805,420
b. $ 2,669,162
Variables Used:
Dover Construction Values: 64,919,821.52
Trend 10
Variables Needed:
Previous Year's Sewer Fees: 2,605,428.00
Equations Used:
a. SEWER_FEES = 1884275.998 + 92114.3983*@TREND
b. SEWER_FEES = 1.009706875*SEWER_FEES(-1) + 0.0005921652268*CONSTRUC_VALUES
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Fuel Waste-Water Adjust
Forecast:
a. $ 3,911,045
b. $ 3,805,363
Variables Needed:
Previous Year's Fuel Wwater Adjust: 3,865,683.00
Variables Used:
Dover Construction Values: 64,919,821.52
Trend 10
Equations Used:
a. FUEL_WWATER = 2422482.549 + 45361.41617*@TREND + 1034948.116*D06
b. FUEL_WWATER = 0.9439119195*FUEL_WWATER(-1) + 0.002410645569*CONSTRUC_VALUES +
1179631.69*D06
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Total General Fund Revenue:
Forecast: $ 7,658,935
Variables Needed:
Previous Year's General Fund Revenue:
Other Variables Used:
Dover Construction Values: 64,919,822
Change in Kent Population: 2,931
Equation Used:
GENFUNDREV = 0.7019866957*GENFUNDREV(-1) + 0.04768681952*CONSTRUC_VALUES +
1556.845898*D(KENT_POP)
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EXHIBIT #4
Regular Council Meeting of 10/01/2007
The Revenue Tracking System
The tracking system consists of two files, a master spreadsheet with twenty-three separate
sheets and a work sheet that updates the limits (percentages of revenue collected) each year as new
data become available. These two files should be kept in the same folder, as they are connected.
The Tracking System – Master file consists of twenty-three spreadsheets; the twenty-two
revenue categories forecast and a sheet for total general revenue. There is a red box in cell B3 in
each spreadsheet. Enter the projected or budgeted revenue for the current fiscal year for each
revenue item in this box. I recommend tracking the “budgeted” amount if the “budgeted” revenue
differs from the estimate of the “forecast” amount. Since spending will be linked to the “budgeted”
revenue, you will want to determine if revenue collections are on track with projected spending.
For each month of the fiscal year, enter on line 8 of each sheet the amount collected for each
revenue item. The sheet automatically computes a cumulative total and cumulative percentage of
projected revenue collected.
On line 21 of each sheet, the cumulative percentage of revenue collected can be compared
to the historic highs and lows on lines 20 and 22, respectively. If the percentage collected exceeds
the historic highs for several months, review the underlying conditions to determine whether
expected revenue should be increased. If the percent collected is below the historic minimum for
several months, it would be advisable to review the conditions to determine whether projected
revenue should be reduced.
Extraordinary revenues
Extraordinary revenues should be treated according to your budgetary guidelines. That is,
if an item should be treated as reserve funds (a large one-time property transfer) do not include it
in the tracking data. If the extraordinary item increases the spendable revenue base (annexation of
land/properties increasing property taxes) include it in the revenue tracking data. In this latter case,
the revenue will continue in ensuing years and should result in an increase in projected spendable
income.
Updating historic bounds (highs and lows)
The file Tracking System Work computes the cumulative highs and lows each year and
updates the historic highs and lows. This file consists of twenty-three spreadsheets for the twenty-
two revenue categories and the general fund. In each sheet enter the monthly amount collected in
the appropriate red box. (We do not have complete fiscal 2007 data, so you might want to update
this file as soon as fiscal 2007 data are finalized.) The cumulative total on lines 80 – 85 are
automatically updated. This file is connected to the Tracking System – Master file. If the historic
highs and lows change, the change is made automatically in the Tracking System – Master file.
The updating of the highs and lows in the Tracking System – Master file occurs only when
June data are entered for each fiscal year in the Tracking System Work file. It is impossible to
determine whether monthly bounds are exceeded until total revenue is known.
Página 38
EXHIBIT #5
Regular Council Meeting of 10/01/2007
Property Taxes:
Revised 1st Qtr
Forecast Amount: 9,453,511.00 9,560,000
Actual Amount Collected: July August September October November December January February March April May June
9,477,359.35 33,287.90
Cumulative Amount Collected: July August September October November December January February March April May June
9,477,359.35 9,510,647.25
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
100.25% 100.60%
July August September October November December January February March April May June
Historic High % of Total: 100.21% 100.04% 99.89% 100.06% 100.06% 100.06% 100.59% 100.58% 100.58% 100.64% 100.64% 100.00%
Cumulative Percent of Forecast Collected: 100.25% 100.60%
Historic Low % of Total: 98.42% 98.38% 98.38% 98.93% 98.93% 98.93% 99.21% 99.53% 99.53% 99.55% 99.55% 100.00%
Historic Average % of Total: 99.21% 99.10% 99.20% 99.50% 99.48% 99.59% 99.86% 99.87% 99.88% 99.99% 100.00% 100.00%
Historic Median % of Total: 99.10% 99.10% 99.32% 99.57% 99.52% 99.62% 99.88% 99.88% 99.88% 100.00% 100.00% 100.00%
EXHIBIT #5
Regular Council Meeting of 10/01/2007
Página 39
Penalties- Taxes
Revised 1st Qtr
Forecast Amount: 67,800.00
Actual Amount Collected: July August September October November December January February March April May June
4,761.40 9,000.19
Cumulative Amount Collected: July August September October November December January February March April May June
4,761.40 13,761.59
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
7.02% 20.30%
July August September October November December January February March April May June
Historic High % of Total: 14.55% 27.78% 41.59% 52.66% 65.22% 72.39% 79.68% 85.45% 91.01% 95.98% 98.98% 100.00%
Cumulative Percent of Forecast Collected: 7.02% 20.30%
Historic Low % of Total: -0.30% 11.07% 20.77% 26.01% 31.98% 46.39% 57.28% 72.64% 80.17% 86.81% 95.36% 100.00%
Historic Average % of Total: 7.24% 21.33% 34.01% 44.91% 55.58% 65.06% 72.32% 80.49% 86.64% 91.95% 97.39% 100.00%
Historic Median % of Total: 7.81% 22.42% 34.83% 46.84% 57.66% 67.60% 74.54% 80.80% 87.30% 91.40% 97.60% 100.00%
Página 40
Realty Transfer Taxes
Revised 1st Qtr
Forecast Amount: 2,650,222.00
Actual Amount Collected: July August September October November December January February March April May June
243,227.18 327,026.83
Cumulative Amount Collected: July August September October November December January February March April May June
243,227.18 570,254.01
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
9.18% 21.52%
July August September October November December January February March April May June
Historic High % of Total: 33.80% 38.97% 50.19% 56.05% 63.16% 69.69% 73.31% 78.25% 83.74% 88.36% 94.63% 100.00%
Cumulative Percent of Forecast Collected: 9.18% 21.52%
Historic Low % of Total: 4.07% 6.70% 13.39% 18.91% 22.28% 25.12% 27.70% 55.10% 59.77% 64.74% 84.04% 100.00%
Historic Average % of Total: 10.54% 18.23% 28.33% 37.72% 44.56% 53.78% 59.48% 68.46% 76.07% 82.20% 90.77% 100.00%
Historic Median % of Total: 8.88% 16.91% 25.94% 37.93% 47.46% 55.32% 62.36% 70.33% 77.31% 83.20% 91.04% 100.00%
Página 41
Business Licenses
Revised 1st Qtr
Forecast Amount: 1,320,000.00 1,350,000
Actual Amount Collected: July August September October November December January February March April May June
1,202,985.20 99,009.61
Cumulative Amount Collected: July August September October November December January February March April May June
1,202,985.20 1,301,994.81
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
91.14% 98.64%
July August September October November December January February March April May June
Historic High % of Total: 84.77% 93.58% 95.69% 96.95% 97.52% 97.91% 98.50% 98.75% 99.43% 99.76% 100.02% 100.00%
Cumulative Percent of Forecast Collected: 91.14% 98.64%
Historic Low % of Total: 13.17% 14.20% 14.23% 83.02% 85.20% 87.61% 87.93% 88.13% 88.54% 88.71% 89.37% 100.00%
Historic Average % of Total: 59.99% 80.88% 84.70% 92.98% 94.02% 95.09% 96.55% 97.17% 97.68% 98.29% 98.70% 100.00%
Historic Median % of Total: 71.16% 88.06% 91.37% 94.10% 95.13% 95.83% 97.78% 98.11% 98.67% 99.13% 99.64% 100.00%
Revenue revised already over budget amount.
Página 42
Building Permits
Revised 1st Qtr
Forecast Amount: 600,000.00
Actual Amount Collected: July August September October November December January February March April May June
75,772.50 77,374.00
Cumulative Amount Collected: July August September October November December January February March April May June
75,772.50 153,146.50
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
12.63% 25.52%
July August September October November December January February March April May June
Historic High % of Total: 20.60% 29.94% 37.41% 41.53% 64.37% 73.67% 77.25% 79.40% 82.67% 89.73% 96.88% 100.00%
Cumulative Percent of Forecast Collected: 12.63% 25.52%
Historic Low % of Total: 3.30% 5.19% 8.30% 19.32% 20.42% 27.92% 33.59% 48.90% 56.50% 59.26% 68.94% 100.00%
Historic Average % of Total: 9.61% 17.15% 22.82% 32.36% 41.99% 53.69% 60.87% 67.40% 72.48% 78.97% 88.10% 100.00%
Historic Median % of Total: 5.10% 17.35% 23.69% 35.77% 43.96% 49.83% 61.96% 70.25% 73.32% 82.34% 92.05% 100.00%
Página 43
HVAC
Revised 1st Qtr
Forecast Amount: 100,000.00
Actual Amount Collected: July August September October November December January February March April May June
11,239.00 16,994.00
Cumulative Amount Collected: July August September October November December January February March April May June
11,239.00 28,233.00
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
11.24% 28.23%
July August September October November December January February March April May June
Historic High % of Total: 14.17% 26.30% 37.75% 45.36% 53.51% 65.58% 73.51% 79.65% 85.15% 96.13% 100.26% 100.00%
Cumulative Percent of Forecast Collected: 11.24% 28.23%
Historic Low % of Total: 3.31% 8.85% 16.74% 26.02% 31.37% 37.65% 46.93% 51.19% 62.69% 78.51% 83.23% 100.00%
Historic Average % of Total: 7.21% 16.64% 26.67% 35.81% 43.27% 52.16% 60.64% 68.08% 77.35% 86.26% 92.80% 100.00%
Historic Median % of Total: 6.62% 16.12% 27.83% 34.53% 42.52% 54.49% 59.34% 69.49% 78.10% 87.56% 93.33% 100.00%
Página 44
Rental Dwelling Permits (Inspection Fee)
Revised 1st Qtr
Forecast Amount: 391,343.00
Actual Amount Collected: July August September October November December January February March April May June
2,256.00 1,998.00
Cumulative Amount Collected: July August September October November December January February March April May June
2,256.00 4,254.00
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
0.58% 1.09%
July August September October November December January February March April May June
Historic High % of Total: 4.71% 11.09% 11.48% 11.69% 11.77% 34.30% 76.95% 91.85% 96.70% 98.13% 99.32% 100.00%
Cumulative Percent of Forecast Collected: 0.58% 1.09%
Historic Low % of Total: 0.00% 0.00% 0.00% 0.13% 0.13% 5.82% 59.61% 79.92% 82.04% 85.89% 97.12% 100.00%
Historic Average % of Total: 1.30% 3.74% 4.05% 4.33% 4.55% 25.38% 69.57% 85.83% 90.95% 94.90% 98.50% 100.00%
Historic Median % of Total: 0.72% 2.05% 2.26% 2.56% 2.79% 27.09% 71.78% 86.07% 91.97% 96.23% 98.79% 100.00%
Scott states that in past years rental fees were not collected in a timely manner. Therefore, collections took place in July and August. Most collection
shoulc take place in January/February which is what happened this past year. No change is recommended at this time.
Página 45
Chancery Court Fees
Revised 1st Qtr
Forecast Amount: 761,000.00
Actual Amount Collected: July August September October November December January February March April May June
- 77,680.00
Cumulative Amount Collected: July August September October November December January February March April May June
- 77,680.00
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
0.00% 10.21%
July August September October November December January February March April May June
Historic High % of Total: 0.00% 17.49% 8.11% 18.36% 35.13% 39.85% 53.80% 63.44% 71.46% 81.30% 89.84% 100.00%
Cumulative Percent of Forecast Collected: 0.00% 10.21%
Historic Low % of Total: 0.00% 0.00% 0.00% 15.69% 26.99% 34.42% 39.85% 57.26% 60.96% 78.58% 81.30% 100.00%
Historic Average % of Total: 0.00% 8.53% 5.40% 17.01% 31.07% 36.47% 46.46% 60.55% 66.57% 80.10% 86.97% 100.00%
Historic Median % of Total: 0.00% 8.11% 8.10% 16.98% 31.07% 35.13% 45.73% 60.96% 67.29% 80.41% 89.75% 100.00%
Página 46
Library Fines
Revised 1st Qtr
Forecast Amount: 46,350.00
Actual Amount Collected: July August September October November December January February March April May June
4,438.45 5,261.48
Cumulative Amount Collected: July August September October November December January February March April May June
4,438.45 9,699.93
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
9.58% 20.93%
July August September October November December January February March April May June
Historic High % of Total: 16.16% 18.52% 25.97% 36.92% 44.08% 54.83% 66.17% 77.07% 87.21% 96.82% 100.00% 100.00%
Cumulative Percent of Forecast Collected: 9.58% 20.93%
Historic Low % of Total: 5.65% 12.51% 16.16% 16.16% 16.16% 16.16% 16.16% 16.16% 16.16% 16.16% 30.54% 100.00%
Historic Average % of Total: 7.86% 14.73% 21.12% 28.28% 35.53% 42.93% 51.29% 59.51% 68.83% 76.33% 84.79% 100.00%
Historic Median % of Total: 7.11% 14.46% 21.06% 28.07% 36.48% 45.04% 53.84% 63.95% 73.57% 81.87% 90.38% 100.00%
Página 47
Kent Book Reimbursement
Revised 1st Qtr
Forecast Amount: 329,600.00
Actual Amount Collected: July August September October November December January February March April May June
- -
Cumulative Amount Collected: July August September October November December January February March April May June
- -
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
0.00% 0.00%
July August September October November December January February March April May June
Historic High % of Total: 25.04% 25.04% 25.04% 76.77% 67.17% 67.17% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%
Cumulative Percent of Forecast Collected: 0.00% 0.00%
Historic Low % of Total: 0.00% 0.00% 0.00% 50.52% 50.52% 50.52% 50.77% 54.02% 54.02% 54.02% 73.10% 100.00%
Historic Average % of Total: 6.82% 11.37% 11.37% 56.53% 54.47% 54.47% 73.46% 78.17% 78.17% 85.00% 97.55% 100.00%
Historic Median % of Total: 0.00% 0.00% 0.00% 53.38% 53.38% 53.38% 74.68% 75.43% 75.43% 85.53% 100.00% 100.00%
Página 48
Common Pleas Fines
Revised 1st Qtr
Forecast Amount: 154,000.00
Actual Amount Collected: July August September October November December January February March April May June
- 175.00
Cumulative Amount Collected: July August September October November December January February March April May June
- 175.00
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
0.00% 0.11%
July August September October November December January February March April May June
Historic High % of Total: 23.00% 37.17% 55.51% 55.75% 55.86% 56.13% 65.14% 67.87% 77.53% 93.61% 100.00% 100.00%
Cumulative Percent of Forecast Collected: 0.00% 0.11%
Historic Low % of Total: 0.15% 6.41% 12.81% 17.79% 23.05% 35.25% 44.51% 51.19% 55.57% 56.13% 82.52% 100.00%
Historic Average % of Total: 8.80% 15.74% 24.76% 30.58% 36.53% 46.65% 54.21% 60.70% 69.43% 78.17% 90.91% 100.00%
Historic Median % of Total: 6.30% 14.62% 23.02% 28.03% 34.26% 45.73% 54.16% 61.14% 71.29% 80.48% 91.26% 100.00%
Página 49
JP Court Fines
Revised 1st Qtr
Forecast Amount: 250,000.00
Actual Amount Collected: July August September October November December January February March April May June
20,560.60 21,082.67
Cumulative Amount Collected: July August September October November December January February March April May June
20,560.60 41,643.27
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
8.22% 16.66%
July August September October November December January February March April May June
Historic High % of Total: 16.31% 26.16% 31.76% 42.73% 51.18% 52.79% 61.04% 68.39% 83.26% 91.46% 100.00% 100.00%
Cumulative Percent of Forecast Collected: 8.22% 16.66%
Historic Low % of Total: 0.00% 7.89% 16.04% 24.00% 30.84% 37.82% 46.62% 53.84% 62.08% 70.53% 82.80% 100.00%
Historic Average % of Total: 7.45% 15.62% 24.37% 33.61% 41.49% 47.29% 55.99% 63.58% 74.81% 81.77% 91.43% 100.00%
Historic Median % of Total: 8.26% 17.33% 24.88% 32.74% 41.49% 48.52% 58.35% 65.84% 75.17% 83.26% 91.44% 100.00%
Página 50
PD Fines
Revised 1st Qtr
Forecast Amount: 230,000.00
Actual Amount Collected: July August September October November December January February March April May June
20,560.60 21,082.67
Cumulative Amount Collected: July August September October November December January February March April May June
20,560.60 41,643.27
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
8.94% 18.11%
July August September October November December January February March April May June
Historic High % of Total: 13.94% 21.25% 33.02% 40.57% 46.27% 56.70% 63.01% 72.16% 80.64% 86.10% 94.16% 100.00%
Cumulative Percent of Forecast Collected: 8.94% 18.11%
Historic Low % of Total: 4.20% 5.92% 15.88% 23.41% 31.25% 36.30% 38.23% 43.76% 60.81% 72.74% 87.65% 100.00%
Historic Average % of Total: 7.07% 13.70% 24.77% 33.62% 41.22% 49.58% 56.70% 63.55% 73.67% 81.78% 91.42% 100.00%
Historic Median % of Total: 6.38% 12.62% 26.50% 34.22% 42.55% 50.99% 58.91% 66.04% 74.59% 83.08% 91.84% 100.00%
Página 51
Franchise Fees
Revised 1st Qtr
Forecast Amount: 422,000.00
Actual Amount Collected: July August September October November December January February March April May June
- -
Cumulative Amount Collected: July August September October November December January February March April May June
- -
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
0.00% 0.00%
July August September October November December January February March April May June
Historic High % of Total: 55.87% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%
Cumulative Percent of Forecast Collected: 0.00% 0.00%
Historic Low % of Total: -25.24% 0.00% 0.00% 0.00% 24.93% 24.93% 49.10% 49.10% 49.10% 74.19% 74.75% 100.00%
Historic Average % of Total: 17.61% 35.17% 30.49% 47.91% 53.06% 56.23% 75.29% 75.29% 78.90% 90.72% 96.39% 100.00%
Historic Median % of Total: 23.93% 32.78% 23.93% 48.52% 51.28% 51.28% 76.19% 76.19% 76.19% 100.00% 100.00% 100.00%
Página 52
Police Extra Duty
Revised 1st Qtr
Forecast Amount: 300,000.00
Actual Amount Collected: July August September October November December January February March April May June
14,452.33 10,723.67
Cumulative Amount Collected: July August September October November December January February March April May June
14,452.33 25,176.00
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
4.82% 8.39%
July August September October November December January February March April May June
Historic High % of Total: 36.13% 22.75% 42.32% 63.45% 77.16% 80.25% 82.78% 85.14% 88.64% 89.50% 95.40% 100.00%
Cumulative Percent of Forecast Collected: 4.82% 8.39%
Historic Low % of Total: 0.00% 3.28% 5.21% 30.11% 31.98% 41.31% 44.98% 58.10% 60.82% 60.82% 63.66% 100.00%
Historic Average % of Total: 10.23% 12.10% 19.69% 39.37% 47.69% 55.38% 61.60% 67.23% 73.67% 77.96% 83.40% 100.00%
Historic Median % of Total: 5.64% 10.81% 17.05% 35.77% 43.07% 53.74% 59.55% 64.70% 70.32% 78.44% 83.02% 100.00%
Página 53
Recreation Revenue
Revised 1st Qtr
Forecast Amount: 140,000.00
Actual Amount Collected: July August September October November December January February March April May June
14,826.36 18,918.00
Cumulative Amount Collected: July August September October November December January February March April May June
14,826.36 33,744.36
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
10.59% 24.10%
July August September October November December January February March April May June
Historic High % of Total: 4.46% 17.28% 24.02% 27.90% 34.97% 36.39% 39.45% 41.89% 68.77% 83.72% 96.55% 100.00%
Cumulative Percent of Forecast Collected: 10.59% 24.10%
Historic Low % of Total: 0.99% 6.82% 13.41% 16.67% 21.81% 25.29% 25.75% 28.58% 53.24% 68.80% 91.21% 100.00%
Historic Average % of Total: 2.84% 12.51% 18.39% 22.77% 28.01% 30.27% 33.47% 36.90% 59.62% 78.14% 93.74% 100.00%
Historic Median % of Total: 2.83% 14.34% 18.76% 22.88% 29.33% 31.09% 34.64% 38.31% 57.96% 79.92% 93.28% 100.00%
Página 54
Trash Revenue
Revised 1st Qtr
Forecast Amount: 1,191,411.00
Actual Amount Collected: July August September October November December January February March April May June
94,547.03 98,055.31
Cumulative Amount Collected: July August September October November December January February March April May June
94,547.03 192,602.34
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
7.94% 16.17%
July August September October November December January February March April May June
Historic High % of Total: 8.55% 16.79% 25.04% 33.29% 41.56% 49.85% 59.05% 66.44% 74.86% 83.20% 92.48% 100.00%
Cumulative Percent of Forecast Collected: 7.94% 16.17%
Historic Low % of Total: 5.49% 11.53% 18.05% 25.54% 33.62% 42.37% 51.11% 53.54% 66.20% 74.22% 83.07% 100.00%
Historic Average % of Total: 7.50% 15.18% 23.09% 31.13% 39.39% 47.52% 55.86% 63.38% 72.72% 81.28% 90.54% 100.00%
Historic Median % of Total: 7.64% 15.84% 24.18% 32.54% 40.92% 49.25% 57.51% 65.92% 74.46% 82.92% 91.45% 100.00%
Rate increase for out-of-City customers was not implemented until August.
Página 55
Trash Fee Rebate
Revised 1st Qtr
Forecast Amount: 170,000.00 167,589
Actual Amount Collected: July August September October November December January February March April May June
- 167,558.60
Cumulative Amount Collected: July August September October November December January February March April May June
- 167,558.60
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
0.00% 98.56%
July August September October November December January February March April May June
Historic High % of Total: 0.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%
Cumulative Percent of Forecast Collected: 0.00% 98.56%
Historic Low % of Total: 0.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%
Historic Average % of Total: 0.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%
Historic Median % of Total: 0.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00% 100.00%
Página 56
General Fund Total Revenue
Revised 1st Qtr
Forecast Amount: 38,133,833.00
Actual Amount Collected: July August September October November December January February March April May June
11,476,185.55 1,025,736.00
Cumulative Amount Collected: July August September October November December January February March April May June
11,476,185.55 12,501,921.55
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
30.09% 32.78%
July August September October November December January February March April May June
Historic High % of Total: 48.06% 55.86% 65.50% 69.21% 76.07% 83.29% 86.19% 91.56% 92.93% 95.20% 97.38% 100.00%
Cumulative Percent of Forecast Collected: 30.09% 32.78%
Historic Low % of Total: 30.60% 36.03% 39.43% 46.13% 49.10% 62.02% 69.64% 71.72% 78.01% 80.52% 86.94% 100.00%
Historic Average % of Total: 38.38% 43.18% 50.74% 58.03% 63.21% 71.83% 77.70% 82.32% 86.66% 91.30% 94.86% 100.00%
Historic Median % of Total: 39.22% 42.39% 48.05% 56.19% 59.95% 72.88% 77.23% 82.06% 86.25% 93.37% 96.37% 100.00%
Municipal Street Aid should be adjusted to actual receipt $709,694.
Página 57
Water Fees
Revised 1st Qtr
Forecast Amount: 4,371,900.00
Actual Amount Collected: July August September October November December January February March April May June
396,579.80 447,480.14
Cumulative Amount Collected: July August September October November December January February March April May June
396,579.80 844,059.94
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
9.07% 19.31%
July August September October November December January February March April May June
Historic High % of Total: 13.03% 21.40% 30.62% 39.40% 46.71% 57.61% 64.93% 72.04% 80.71% 86.84% 92.96% 100.00%
Cumulative Percent of Forecast Collected: 9.07% 19.31%
Historic Low % of Total: 6.39% 18.20% 27.51% 35.31% 43.18% 51.35% 59.59% 60.32% 73.97% 81.66% 89.76% 100.00%
Historic Average % of Total: 9.54% 19.58% 28.82% 37.03% 45.00% 53.39% 60.84% 67.42% 75.51% 83.01% 91.11% 100.00%
Historic Median % of Total: 9.59% 19.30% 28.72% 37.11% 44.98% 52.77% 60.32% 67.54% 74.98% 82.47% 91.06% 100.00%
Página 58
Sewer Fees
Revised 1st Qtr
Forecast Amount: 2,508,600.00
Actual Amount Collected: July August September October November December January February March April May June
226,530.92 243,449.51
Cumulative Amount Collected: July August September October November December January February March April May June
226,530.92 469,980.43
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
9.03% 18.73%
July August September October November December January February March April May June
Historic High % of Total: 9.93% 28.03% 35.58% 44.59% 53.87% 63.91% 63.22% 69.68% 79.03% 85.63% 92.35% 100.00%
Cumulative Percent of Forecast Collected: 9.03% 18.73%
Historic Low % of Total: 5.17% 16.67% 25.09% 33.17% 41.41% 49.69% 57.87% 60.72% 73.11% 80.92% 89.95% 100.00%
Historic Average % of Total: 8.72% 19.06% 28.14% 36.80% 44.40% 53.28% 59.66% 66.72% 75.01% 82.91% 91.11% 100.00%
Historic Median % of Total: 9.27% 18.20% 27.38% 35.61% 43.28% 52.06% 59.09% 66.83% 74.70% 82.62% 91.03% 100.00%
Página 59
Fuel Waste-Water Adjust
Revised 1st Qtr
Forecast Amount: 4,264,357.00
Actual Amount Collected: July August September October November December January February March April May June
361,336.18 389,665.42
Cumulative Amount Collected: July August September October November December January February March April May June
361,336.18 751,001.60
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
8.47% 17.61%
July August September October November December January February March April May June
Historic High % of Total: 10.13% 29.01% 36.51% 45.85% 46.28% 57.69% 63.82% 70.18% 79.72% 86.22% 92.67% 100.00%
Cumulative Percent of Forecast Collected: 8.47% 17.61%
Historic Low % of Total: 4.95% 14.13% 21.61% 28.23% 34.83% 41.28% 58.01% 60.74% 73.17% 81.72% 90.28% 100.00%
Historic Average % of Total: 8.44% 18.51% 27.19% 35.55% 42.74% 51.39% 59.85% 66.89% 75.19% 83.07% 91.18% 100.00%
Historic Median % of Total: 9.01% 18.05% 26.71% 34.79% 43.00% 50.69% 58.80% 66.59% 74.75% 82.62% 90.94% 100.00%
Página 60
Impact Fee
Revised 1st Qtr
Forecast Amount: 746,500.00
Actual Amount Collected: July August September October November December January February March April May June
75,220.68 108,391.52
Cumulative Amount Collected: July August September October November December January February March April May June
75,220.68 183,612.20
Cumulative Percent of Forecast Collected: July August September October November December January February March April May June
10.08% 24.60%
July August September October November December January February March April May June
Historic High % of Total: 49.95% 53.71% 56.55% 59.21% 63.70% 69.79% 75.63% 87.48% 89.53% 94.36% 96.21% 100.00%
Cumulative Percent of Forecast Collected: 10.08% 24.60%
Historic Low % of Total: 0.00% 0.00% 32.78% 39.03% 49.49% 55.37% 60.52% 69.20% 74.75% 82.02% 89.29% 100.00%
Historic Average % of Total: 20.94% 29.12% 41.05% 48.52% 56.50% 63.13% 68.99% 77.41% 82.13% 86.98% 92.50% 100.00%
Historic Median % of Total: 19.62% 32.93% 38.60% 47.24% 57.96% 65.57% 71.08% 76.26% 82.46% 86.75% 92.16% 100.00%