CPC Program Database - Barnstable
Municipality Information
Barnstable
CPA Program Details
11-02-2004
3%
None
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Legislative Body Vote 3% None 11-02-2004 Pass 78% 22% 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 $2,278,621     $2,278,621
  2006 $2,359,154 $2,278,621 100% $4,637,775
  2007 $2,460,379 $2,359,154 100% $4,819,533
  2008 $2,538,287 $2,460,379 100% $4,998,666
  2009 $2,613,601 $1,765,694 69.56% $4,379,295
  2010 $2,682,280 $949,652 36.34% $3,631,932
  2011 $2,755,639 $760,719 28.36% $3,516,358
  2012 $2,858,586 $765,460 27.78% $3,624,046
  2013 $2,948,169 $799,154 27.95% $3,747,323
  2014 $3,037,916 $1,606,310 54.49% $4,644,226
  2015 $3,130,123 $997,350 32.8% $4,127,473
  2016 $3,241,957 $968,008 31% $4,209,965
  2017 $3,348,602 $696,547 21.49% $4,045,149
  2018 $3,470,509 $601,662 17.97% $4,072,171
  2019 $3,596,331 $696,117 20.06% $4,292,448
  2020 $3,761,487 $905,447 25.18% $4,666,934
  2021 $3,828,372 $1,133,991 30.15% $4,962,363
  2022 $3,930,399 $1,770,709 46.25% $5,701,108
  2023 $4,065,632 $1,598,125 40.66% $5,663,757
  2024 $4,199,114 $902,817 22.21% $5,101,931
  2025 $0 $802,444 19.11% $802,444
TOT   $63,105,158 $24,818,360   $87,923,518
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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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