Municipality Information
Ayer
CPA Program Details
04-23-2001
3%
Low income
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Surcharge Increase Legislative Body Vote 3% Low income 06-02-2020 Pass 55% 45% Yes
  Surcharge Decrease Legislative Body Vote 1% Low income 11-05-2002 Pass 57% 43%  
  Initial Adoption Legislative Body Vote 3% Low income 04-23-2001 Pass 54% 46%  
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002 $218,342     $218,342
  2003 $229,445 $218,342 100% $447,787
  2004 $89,962 $229,445 100% $319,407
  2005 $93,534 $89,962 100% $183,496
  2006 $109,333 $93,534 100% $202,867
  2007 $112,353 $109,333 100% $221,686
  2008 $121,134 $112,353 100% $233,487
  2009 $126,818 $81,911 67.62% $208,729
  2010 $129,034 $44,151 34.81% $173,185
  2011 $134,822 $35,100 27.2% $169,922
  2012 $142,139 $35,915 26.64% $178,054
  2013 $148,423 $38,142 26.83% $186,565
  2014 $154,037 $77,514 52.23% $231,551
  2015 $164,231 $48,468 31.5% $212,699
  2016 $171,876 $48,696 29.7% $220,572
  2017 $179,432 $35,367 20.58% $214,799
  2018 $186,003 $30,866 17.2% $216,869
  2019 $189,916 $35,368 19.01% $225,284
  2020 $207,543 $45,425 23.92% $252,968
  2021 $637,875 $59,412 28.63% $697,287
  2022 $656,389 $464,368 72.8% $1,120,757
  2023 $676,975 $421,731 64.25% $1,098,706
  2024 $0 $248,029 36.64% $248,029
TOT   $4,879,615 $2,603,432   $7,483,047
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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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