Municipality Information
Mattapoisett
CPA Program Details
11-07-2006
1%
Low income, 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 1% Low income, first $100,000 - residential 05-18-2010 Pass 76% 24% Yes
  Initial Adoption Legislative Body Vote 1% First $100,000 - residential 11-07-2006 Pass 54% 46%  
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 $123,655     $123,655
  2009 $130,597 $83,616 67.62% $214,213
  2010 $133,382 $45,467 34.81% $178,849
  2011 $136,182 $36,282 27.2% $172,464
  2012 $138,367 $36,278 26.64% $174,645
  2013 $141,623 $37,129 26.83% $178,752
  2014 $146,599 $73,963 52.23% $220,562
  2015 $150,460 $46,127 31.5% $196,587
  2016 $156,331 $44,612 29.7% $200,943
  2017 $164,258 $32,168 20.58% $196,426
  2018 $170,814 $28,256 17.2% $199,070
  2019 $177,933 $32,480 19.01% $210,413
  2020 $183,063 $42,559 23.92% $225,622
  2021 $194,999 $52,405 28.63% $247,404
  2022 $204,882 $85,487 43.84% $290,369
  2023 $219,710 $78,903 38.51% $298,613
  2024 $0 $46,193 21.02% $46,193
TOT   $2,572,855 $801,925   $3,374,780
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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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