Municipality Information
Fairhaven
CPA Program Details
04-04-2005
2%
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 2% Low income, first $100,000 - residential 04-04-2005 Pass 57% 43% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002       $0
  2003       $0
  2004       $0
  2005       $0
  2006 $247,177     $247,177
  2007 $264,438 $247,177 100% $511,615
  2008 $284,658 $264,438 100% $549,096
  2009 $292,458 $192,487 67.62% $484,945
  2010 $300,882 $101,819 34.81% $402,701
  2011 $303,136 $81,846 27.2% $384,982
  2012 $306,715 $80,753 26.64% $387,468
  2013 $317,026 $82,304 26.83% $399,330
  2014 $324,260 $165,567 52.23% $489,827
  2015 $338,762 $102,029 31.5% $440,791
  2016 $350,755 $100,444 29.7% $451,199
  2017 $369,681 $72,174 20.58% $441,855
  2018 $373,770 $63,594 17.2% $437,364
  2019 $397,297 $71,072 19.01% $468,369
  2020 $420,167 $95,028 23.92% $515,195
  2021 $431,373 $120,279 28.63% $551,652
  2022 $463,337 $189,112 43.84% $652,449
  2023 $489,888 $178,437 38.51% $668,325
  2024 $0 $102,996 21.02% $102,996
TOT   $6,275,781 $2,311,556   $8,587,337
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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:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • 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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