Municipality Information
Agawam
CPA Program Details
11-06-2001
1%
Low income
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Legislative Body Vote 1% Low income 11-06-2001 Pass 61% 39% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002       $0
  2003 $299,875     $299,875
  2004 $313,190 $299,875 100% $613,065
  2005 $341,504 $313,190 100% $654,694
  2006 $357,829 $341,504 100% $699,333
  2007 $376,554 $357,829 100% $734,383
  2008 $387,200 $376,554 100% $763,754
  2009 $396,363 $261,826 67.62% $658,189
  2010 $410,938 $137,993 34.81% $548,931
  2011 $423,287 $111,783 27.2% $535,070
  2012 $435,257 $112,760 26.64% $548,017
  2013 $442,193 $116,797 26.83% $558,990
  2014 $445,080 $230,936 52.23% $676,016
  2015 $452,258 $140,045 31.5% $592,303
  2016 $468,034 $134,094 29.7% $602,128
  2017 $484,062 $96,307 20.58% $580,369
  2018 $506,567 $83,269 17.2% $589,836
  2019 $529,429 $96,323 19.01% $625,752
  2020 $545,523 $126,632 23.92% $672,155
  2021 $545,619 $156,165 28.63% $701,784
  2022 $573,523 $239,197 43.84% $812,720
  2023 $596,768 $220,872 38.51% $817,640
  2024 $0 $125,466 21.02% $125,466
TOT   $9,331,053 $4,079,417   $13,410,470
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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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