Municipality Information
North Andover
CPA Program Details
03-06-2001
3%
Low income, first $100,000 - residential
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Legislative Body Vote 3% Low income, first $100,000 - residential 03-06-2001 Pass 56% 44% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002 $802,719     $802,719
  2003 $886,192 $802,719 100% $1,688,911
  2004 $1,021,824 $886,192 100% $1,908,016
  2005 $1,051,237 $1,021,824 100% $2,073,061
  2006 $1,125,960 $1,051,237 100% $2,177,197
  2007 $1,189,634 $1,125,960 100% $2,315,594
  2008 $1,245,598 $1,189,634 100% $2,435,232
  2009 $1,270,026 $901,433 72.37% $2,171,459
  2010 $1,282,246 $489,834 38.57% $1,772,080
  2011 $1,318,944 $386,099 30.11% $1,705,043
  2012 $1,364,049 $389,014 29.49% $1,753,063
  2013 $1,390,057 $404,528 29.65% $1,794,585
  2014 $1,426,535 $805,907 57.98% $2,232,442
  2015 $1,475,035 $498,619 35% $1,973,654
  2016 $1,540,605 $485,256 33% $2,025,861
  2017 $1,612,003 $352,354 22.87% $1,964,357
  2018 $1,695,915 $308,053 19.12% $2,003,968
  2019 $1,755,952 $365,921 21.58% $2,121,873
  2020 $1,819,682 $474,306 27.01% $2,293,988
  2021 $1,914,035 $589,560 32.4% $2,503,595
  2022 $1,955,372 $949,942 49.63% $2,905,314
  2023 $2,306,645 $854,410 43.7% $3,161,055
  2024 $0 $542,611 23.52% $542,611
TOT   $31,450,265 $14,875,413   $46,325,678
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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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