Municipality Information
Bedford
CPA Program Details
03-10-2001
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 03-10-2001 Pass 63% 37% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002 $769,218     $769,218
  2003 $801,952 $769,218 100% $1,571,170
  2004 $870,283 $801,952 100% $1,672,235
  2005 $918,041 $870,283 100% $1,788,324
  2006 $963,720 $918,041 100% $1,881,761
  2007 $1,010,047 $963,720 100% $1,973,767
  2008 $1,075,375 $1,010,047 100% $2,085,422
  2009 $1,136,899 $786,328 73.12% $1,923,227
  2010 $1,143,989 $443,486 39.01% $1,587,475
  2011 $1,198,100 $348,491 30.46% $1,546,591
  2012 $1,269,074 $356,822 29.78% $1,625,896
  2013 $1,301,976 $379,041 29.86% $1,681,017
  2014 $1,376,587 $759,907 58.37% $2,136,494
  2015 $1,427,944 $482,903 35.1% $1,910,847
  2016 $1,403,253 $471,294 33.1% $1,874,547
  2017 $1,578,163 $324,091 23.1% $1,902,254
  2018 $1,624,399 $302,233 19.16% $1,926,632
  2019 $1,644,444 $352,322 21.69% $1,996,766
  2020 $1,721,152 $447,635 27.22% $2,168,787
  2021 $1,820,007 $561,354 32.62% $2,381,361
  2022 $1,892,564 $908,721 49.93% $2,801,285
  2023 $1,962,134 $830,221 43.87% $2,792,355
  2024 $0 $470,180 23.96% $470,180
TOT   $28,909,321 $13,558,290   $42,467,611
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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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