Municipality Information
Phillipston
CPA Program Details
05-07-2007
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 05-07-2007 Pass 64% 36% 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       $0
  2007       $0
  2008 $37,823     $37,823
  2009 $38,413 $37,823 100% $76,236
  2010 $38,758 $38,413 100% $77,171
  2011 $59,413 $38,758 100% $98,171
  2012 $37,950 $59,413 100% $97,363
  2013 $40,758 $17,754 100% $58,512
  2014 $41,419 $40,758 100% $82,177
  2015 $40,872 $41,419 100% $82,291
  2016 $43,697 $40,872 100% $84,569
  2017 $44,633 $43,697 100% $88,330
  2018 $46,807 $44,633 100% $91,440
  2019 $52,800 $46,807 100% $99,607
  2020 $56,369 $52,800 100% $109,169
  2021 $59,963 $56,369 100% $116,332
  2022 $68,068 $59,963 100% $128,031
  2023 $77,523 $68,068 100% $145,591
  2024 $0 $77,523 100% $77,523
TOT   $785,267 $765,070   $1,550,337
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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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