Municipality Information
Yarmouth
CPA Program Details
05-02-2005
3%
First $100,000 - residential
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Modify Exemptions Legislative Body Vote 3% First $100,000 - residential 05-18-2021 Pass 76% 24% Yes
  Initial Adoption Legislative Body Vote 3% None 05-02-2005 Pass 80% 20%  
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002       $0
  2003       $0
  2004       $0
  2005 $1,076,698     $1,076,698
  2006 $1,099,144 $1,076,698 100% $2,175,842
  2007 $1,182,628 $1,099,144 100% $2,281,772
  2008 $1,185,477 $1,182,628 100% $2,368,105
  2009 $1,247,304 $850,920 71.78% $2,098,224
  2010 $1,296,755 $473,978 38% $1,770,733
  2011 $1,365,187 $383,829 29.6% $1,749,016
  2012 $1,416,755 $395,056 28.94% $1,811,811
  2013 $1,472,456 $412,255 29.09% $1,884,711
  2014 $1,506,497 $835,617 56.75% $2,342,114
  2015 $1,549,926 $515,487 34.2% $2,065,413
  2016 $1,591,443 $499,476 32.3% $2,090,919
  2017 $1,639,399 $356,924 22.43% $1,996,323
  2018 $1,703,382 $307,641 18.77% $2,011,023
  2019 $1,767,530 $360,101 21.14% $2,127,631
  2020 $1,873,163 $468,025 26.48% $2,341,188
  2021 $1,915,441 $593,429 31.68% $2,508,870
  2022 $1,568,505 $932,086 48.66% $2,500,591
  2023 $1,717,149 $688,527 43.9% $2,405,676
  2024 $0 $409,065 23.82% $409,065
TOT   $28,174,840 $11,840,886   $40,015,726
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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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