Municipality Information
Upton
CPA Program Details
05-05-2003
3%
Low income, first $100,000 - residential
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Legislative Body Vote 3% Low income, first $100,000 - residential 05-05-2003 Pass 51% 49% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002       $0
  2003       $0
  2004 $177,832     $177,832
  2005 $223,744 $177,832 100% $401,576
  2006 $241,693 $223,744 100% $465,437
  2007 $251,203 $241,693 100% $492,896
  2008 $275,784 $251,203 100% $526,987
  2009 $275,720 $275,221 99.8% $550,941
  2010 $287,126 $167,506 60.75% $454,632
  2011 $305,780 $140,278 48.86% $446,058
  2012 $316,300 $137,947 45.11% $454,247
  2013 $318,118 $155,437 49.11% $473,555
  2014 $331,233 $312,711 98.3% $643,944
  2015 $344,783 $195,448 59% $540,231
  2016 $386,689 $190,051 55.4% $576,740
  2017 $410,775 $144,368 37.33% $555,143
  2018 $430,588 $127,046 31% $557,634
  2019 $444,516 $161,526 37.51% $606,042
  2020 $473,692 $196,836 44.28% $670,528
  2021 $490,186 $261,455 55.2% $751,641
  2022 $515,046 $418,094 85.29% $933,140
  2023 $579,980 $384,193 74.59% $964,173
  2024 $0 $227,637 39.25% $227,637
TOT   $7,080,789 $4,390,226   $11,471,015
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When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

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  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

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