The Capacity Fee was last increased in July 2017, based on updated fees developed in the 2016 Water Capacity Fee Report.
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All Capacity Fees must follow Government Code section 66000, commonly known as the “Mitigation Fee Act.” The fee is determined in the 2016 Water Capacity Fee Report (Capacity Study) by dividing the total net assets of the Authority’s system by the quantity of equivalent dwelling units (EDUs). The Capacity Study lists the value of total assets, minus debt service, as $335,980,000. This number is divided by 58,148, the number of EDUs in Sweetwater Authority, for a value of $5,778 per EDU.
An Equivalent Dwelling Unit, or EDU, is a unit that relates all residential, commercial, and industrial water use to a typical single-family residential unit.
A table showing the average use in the service area at the time the last Capacity Fee study was completed (2016) is presented below.
The current Capacity Fee for a single family residence is $5,778.
The Capacity Fee will be $5,778 x 2 EDUs = $11,556.
The Capacity Fee for the accessory dwelling unit will be $5,778 unless it meets any of the exemptions listed in the Authority’ Rates and Rules.
Yes. The plumbing fixture unit count is necessary to verify service lateral and meter sizes.
The Capacity Fee will be $5,778 x 56% x 10 EDUs = $32,357.
The Capacity Fee will be $5,778 x 56% x 4 EDUs = $12,943 for the 4 units, $5,778 for the irrigation service, less a credit of $5,778 for the existing dwelling unit, which will be reclassified as an irrigation meter. The total Capacity Fee will therefore be $12,943.
There is no Capacity Fee. The Capacity Fee only applies to new demand on the water system.
The projected demand (in gallons per day) as provided by the owner/developer is divided by 299 gallons per day to establish the number of equivalent dwelling units (EDUs). The resulting number of EDUs is then multiplied by the base Capacity Fee of $5,778 to determine the total Capacity Fee for the projected demand. In the absence of a projected demand, the Authority can use historical data to estimate demand based on water use type.