Municipality Information
Stow
CPA Program Details
05-15-2001
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 Ballot Question Petition 3% Low income, first $100,000 - residential 05-15-2001 Pass 64% 36% Yes
CPA Revenue History
 
Fiscal
Year
Local
Surcharge
Total Trust
Fund
Distribution
Percentage
Total Revenue (Local
Surcharge +
Distribution)
 
  2002 $241,692     $241,692
  2003 $270,419 $241,692 100% $512,111
  2004 $302,236 $270,419 100% $572,655
  2005 $331,284 $302,236 100% $633,520
  2006 $364,777 $331,284 100% $696,061
  2007 $390,888 $364,777 100% $755,665
  2008 $414,592 $390,888 100% $805,480
  2009 $426,246 $369,084 89.02% $795,330
  2010 $442,121 $219,912 51.59% $662,033
  2011 $434,433 $176,222 39.86% $610,655
  2012 $458,928 $172,219 39.64% $631,147
  2013 $466,151 $174,492 38% $640,643
  2014 $489,686 $350,046 75.09% $839,732
  2015 $518,724 $220,425 45% $739,149
  2016 $541,068 $217,676 42.1% $758,744
  2017 $569,437 $158,462 29.29% $727,899
  2018 $599,041 $138,961 24.44% $738,002
  2019 $622,157 $179,076 29.89% $801,233
  2020 $659,192 $230,274 37.01% $889,466
  2021 $687,308 $291,675 44.25% $978,983
  2022 $709,401 $467,567 68.03% $1,176,968
  2023 $768,602 $425,252 59.95% $1,193,854
  2024 $0 $248,075 32.28% $248,075
TOT   $10,708,383 $5,940,714   $16,649,097
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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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