Municipality Information
Quincy
CPA Program Details
11-07-2006
1%
Low income, first $100,000 - residential
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Convert Traditional to Blended Legislative Body Vote 1% Low income, first $100,000 - residential 11-05-2013 Pass 65% 35% Yes
  Initial Adoption Ballot Question Petition 1% Low income, first $100,000 - residential 11-07-2006 Pass 57% 43%  
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 $1,122,761     $1,122,761
  2008 $1,126,016 $1,122,761 100% $2,248,777
  2009 $1,247,866 $761,415 67.62% $2,009,281
  2010 $1,238,280 $434,442 34.81% $1,672,722
  2011 $1,214,042 $336,836 27.2% $1,550,878
  2012 $1,265,917 $323,410 26.64% $1,589,327
  2013 $1,371,391 $339,694 26.83% $1,711,085
  2014 $1,404,841 $716,211 52.23% $2,121,052
  2015 $1,506,995 $442,034 31.5% $1,949,029
  2016 $1,548,476 $446,841 29.7% $1,995,317
  2017 $1,681,720 $318,627 20.58% $2,000,347
  2018 $1,804,981 $289,293 17.2% $2,094,274
  2019 $1,846,937 $343,214 19.01% $2,190,151
  2020 $1,986,823 $441,760 23.92% $2,428,583
  2021 $2,055,467 $568,759 28.63% $2,624,226
  2022 $2,149,278 $901,109 43.84% $3,050,387
  2023 $2,238,963 $827,716 38.51% $3,066,679
  2024 $0 $470,726 21.02% $470,726
TOT   $26,810,753 $9,084,848   $35,895,601
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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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