Municipality Information
Malden
CPA Program Details
11-03-2015
1%
Low income, first $100,000 - residential, first $100,000 - commercial
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Ballot Question Petition 1% Low income, first $100,000 - residential, first $100,000 - commercial 11-03-2015 Pass 61% 39% Yes
  Initial Adoption Legislative Body Vote 3% Low income, first $100,000 - residential 11-06-2001 Fail 36% 64%  
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 $612,375 $0 0% $612,375
  2018 $650,089 $105,346 17.2% $755,435
  2019 $698,105 $123,613 19.01% $821,718
  2020 $742,608 $166,976 23.92% $909,584
  2021 $775,305 $212,583 28.63% $987,888
  2022 $811,077 $339,891 43.84% $1,150,968
  2023 $844,703 $312,357 38.51% $1,157,060
  2024 $0 $177,593 21.02% $177,593
TOT   $5,134,262 $1,438,359   $6,572,621
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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.

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