Municipality Information
Newburyport
CPA Program Details
11-05-2002
2%
Low income, first $100,000 - residential
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Surcharge Decrease Legislative Body Vote 0.5%   11-04-2004 Fail 47% 53%  
  Initial Adoption Ballot Question Petition 2% Low income, first $100,000 - residential 11-05-2002 Pass 51% 49% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002       $0
  2003       $0
  2004 $396,341     $396,341
  2005 $480,381 $396,341 100% $876,722
  2006 $513,222 $480,381 100% $993,603
  2007 $548,713 $513,222 100% $1,061,935
  2008 $568,923 $548,713 100% $1,117,636
  2009 $582,958 $384,707 67.62% $967,665
  2010 $596,766 $202,956 34.81% $799,722
  2011 $615,318 $162,332 27.2% $777,650
  2012 $636,100 $163,915 26.64% $800,015
  2013 $653,278 $170,690 26.83% $823,968
  2014 $709,165 $341,175 52.23% $1,050,340
  2015 $749,945 $223,139 31.5% $973,084
  2016 $794,020 $222,364 29.7% $1,016,384
  2017 $842,933 $163,384 20.58% $1,006,317
  2018 $880,977 $145,003 17.2% $1,025,980
  2019 $929,247 $167,516 19.01% $1,096,763
  2020 $977,506 $222,262 23.92% $1,199,768
  2021 $1,008,046 $279,827 28.63% $1,287,873
  2022 $1,064,920 $441,924 43.84% $1,506,844
  2023 $1,124,522 $410,115 38.51% $1,534,637
  2024 $0 $236,423 21.02% $236,423
TOT   $14,673,280 $5,876,389   $20,549,669
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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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