CPC Program Database - Watertown
Municipality Information
Watertown
CPA Program Details
11-08-2016
2%
Low income
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Ballot Question Petition 2% Low income 11-08-2016 Pass 60% 40% Yes
  Initial Adoption Ballot Question Petition 2% Low income, first $100,000 - residential 11-08-2005 Fail 41% 59%  
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       $0
  2009       $0
  2010       $0
  2011       $0
  2012       $0
  2013       $0
  2014 $0 $0 0% $0
  2015 $0 $0 0% $0
  2016 $0 $0 0% $0
  2017 $0 $0 0% $0
  2018 $1,932,150 $0   $1,932,150
  2019 $2,085,274 $367,395 19.01% $2,452,669
  2020 $2,183,429 $498,767 23.92% $2,682,196
  2021 $2,375,714 $625,041 28.63% $3,000,755
  2022 $2,484,733 $1,041,504 43.84% $3,526,237
  2023 $2,750,123 $956,905 38.51% $3,707,028
  2024 $2,966,579 $578,194 21.02% $3,544,773
  2025 $0 $535,797 18.06% $535,797
TOT   $16,778,002 $4,603,603   $21,381,605
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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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