Municipality Information
Norwell
CPA Program Details
03-16-2002
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 03-16-2002 Pass 64% 36% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002       $0
  2003 $504,055     $504,055
  2004 $534,732 $504,055 100% $1,038,787
  2005 $559,835 $534,732 100% $1,094,567
  2006 $634,135 $559,835 100% $1,193,970
  2007 $674,734 $634,135 100% $1,308,869
  2008 $698,310 $674,734 100% $1,373,044
  2009 $734,000 $541,215 77.5% $1,275,215
  2010 $750,924 $311,164 42.39% $1,062,088
  2011 $760,648 $247,788 33% $1,008,436
  2012 $786,610 $246,566 32.42% $1,033,176
  2013 $872,913 $255,995 32.53% $1,128,908
  2014 $901,885 $549,153 62.91% $1,451,038
  2015 $954,518 $341,831 37.9% $1,296,349
  2016 $993,945 $338,909 35.6% $1,332,854
  2017 $1,034,394 $245,758 24.73% $1,280,152
  2018 $1,079,230 $213,820 20.69% $1,293,050
  2019 $1,118,439 $255,901 23.71% $1,374,340
  2020 $1,158,942 $330,874 29.58% $1,489,816
  2021 $1,217,408 $411,853 35.54% $1,629,261
  2022 $1,268,843 $663,015 54.46% $1,931,858
  2023 $1,340,813 $606,912 47.83% $1,947,725
  2024 $0 $349,161 26.04% $349,161
TOT   $18,579,312 $8,817,406   $27,396,718
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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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