Municipality Information
Lexington
CPA Program Details
03-06-2006
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 03-06-2006 Pass 63% 37% Yes
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 $2,556,362     $2,556,362
  2008 $2,777,882 $2,556,362 100% $5,334,244
  2009 $2,931,678 $1,927,708 69.39% $4,859,386
  2010 $3,042,587 $1,060,390 36.17% $4,102,977
  2011 $3,206,117 $858,729 28.22% $4,064,846
  2012 $3,344,371 $885,463 27.62% $4,229,834
  2013 $3,572,460 $929,507 27.79% $4,501,967
  2014 $3,777,676 $1,932,347 54.09% $5,710,023
  2015 $4,012,883 $1,230,116 32.6% $5,242,999
  2016 $4,217,305 $1,229,774 30.7% $5,447,079
  2017 $4,442,893 $897,243 21.28% $5,340,136
  2018 $4,659,786 $789,905 17.78% $5,449,691
  2019 $4,911,223 $922,256 19.79% $5,833,479
  2020 $5,214,556 $1,219,950 24.84% $6,434,506
  2021 $5,492,511 $1,549,955 29.72% $7,042,466
  2022 $5,815,118 $2,500,261 45.52% $8,315,379
  2023 $6,216,085 $2,323,956 39.96% $8,540,041
  2024 $0 $1,354,935 21.8% $1,354,935
TOT   $70,191,493 $24,168,857   $94,360,350
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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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