Municipality Information
Dunstable
CPA Program Details
05-15-2006
3%
Low income
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 05-15-2006 Pass 71% 29% 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 $170,894     $170,894
  2008 $181,527 $170,894 100% $352,421
  2009 $192,602 $181,527 100% $374,129
  2010 $197,545 $154,462 80.2% $352,007
  2011 $206,355 $122,127 61.82% $328,482
  2012 $199,594 $124,013 60.1% $323,607
  2013 $209,004 $124,144 62.13% $333,148
  2014 $211,144 $209,004 100% $420,148
  2015 $225,027 $157,662 74.7% $382,689
  2016 $232,721 $154,544 69% $387,265
  2017 $248,918 $112,687 48.42% $361,605
  2018 $263,388 $99,202 39.98% $362,590
  2019 $274,048 $129,733 49.26% $403,781
  2020 $283,470 $165,114 60.25% $448,584
  2021 $288,692 $207,001 73.02% $495,693
  2022 $298,907 $288,692 100% $587,599
  2023 $319,920 $298,907 100% $618,827
  2024 $0 $172,961 54.06% $172,961
TOT   $4,003,755 $2,872,674   $6,876,429
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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.

Read more about converting a column into a table.

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