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<CreaDate>20220124</CreaDate>
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<keyword>MCPS</keyword>
<keyword>School Facility Payments</keyword>
<keyword>School Moratorium</keyword>
<keyword>Montgomery County Planning Department</keyword>
<keyword>MNCPPC</keyword>
<keyword>Montgomery County</keyword>
<keyword>Maryland</keyword>
</searchKeys>
<idPurp>Location of School Clusters requiring a school facility payment. The annual school test evaluates school utilization levels in all 25 school cluster areas at the elementary, middle, and high school levels (referred to in the SSP resolution as grade levels). The SSP defines adequate school capacity by establishing thresholds for school use. These thresholds are used in the annual school test to determine whether residential development within a particular area will be subject to an assessment (school facility payment) or moratorium. Each year, MCPS prepares the data on school cluster utilizations for the annual school test, the Planning Board adopts the results effective July 1, and the standards apply to the following fiscal year. The SSP defines adequate school capacity by establishing thresholds for school use. These thresholds are used in the annual school test to determine whether residential development within a particular area will be subject to an assessment (school facility payment) or moratorium. </idPurp>
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<idCitation>
<resTitle>School Facility Payments</resTitle>
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</Data>
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