Municipality Information
Eastham
CPA Program Details
05-17-2005
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 05-17-2005 Pass 89% 11% 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 $383,978     $383,978
  2006 $398,198 $383,978 100% $782,176
  2007 $412,326 $398,198 100% $810,524
  2008 $450,707 $412,326 100% $863,033
  2009 $459,146 $373,786 82.93% $832,932
  2010 $471,043 $215,474 46.93% $686,517
  2011 $481,430 $171,655 36.44% $653,085
  2012 $507,356 $172,184 35.77% $679,540
  2013 $516,593 $181,059 35.67% $697,652
  2014 $548,308 $363,064 70.28% $911,372
  2015 $557,925 $230,578 42.1% $788,503
  2016 $599,624 $221,311 39.8% $820,935
  2017 $649,537 $164,620 27.45% $814,157
  2018 $701,419 $147,616 22.76% $849,035
  2019 $719,164 $184,061 26.24% $903,225
  2020 $784,348 $235,373 32.73% $1,019,721
  2021 $840,988 $304,620 38.84% $1,145,608
  2022 $864,629 $497,994 59.22% $1,362,623
  2023 $908,612 $451,243 52.19% $1,359,855
  2024 $0 $258,293 28.43% $258,293
TOT   $11,255,331 $5,367,433   $16,622,764
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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.

Read more about converting a column into a table.

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