Municipality Information
Millis
CPA Program Details
11-07-2006
1%
Low income
CPA Elections History
 
Election Purpose
Path to Ballot
Surcharge
%
Exemptions
Election Date
Status
% Yes
% No
Current
Status
 
  Initial Adoption Legislative Body Vote 1% Low income 11-07-2006 Pass 57% 43% 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       $0
  2008 $100,874     $100,874
  2009 $107,257 $68,211 67.62% $175,468
  2010 $103,268 $37,341 34.81% $140,609
  2011 $105,932 $28,091 27.2% $134,023
  2012 $106,644 $28,219 26.64% $134,863
  2013 $113,069 $28,617 26.83% $141,686
  2014 $119,608 $59,050 52.22% $178,658
  2015 $125,842 $37,635 31.5% $163,477
  2016 $131,324 $37,313 29.7% $168,637
  2017 $142,195 $27,022 20.58% $169,217
  2018 $151,441 $24,461 17.2% $175,902
  2019 $163,954 $28,796 19.01% $192,750
  2020 $192,135 $39,215 23.92% $231,350
  2021 $204,866 $55,002 28.63% $259,868
  2022 $223,271 $89,813 43.84% $313,084
  2023 $245,528 $85,985 38.51% $331,513
  2024 $0 $51,621 21.02% $51,621
TOT   $2,337,208 $726,392   $3,063,600
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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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