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 Series Title: Yuma, AZ, Arizona: Government; All Employees; Thousands; NSA (old benchmark 2017)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to end of data set
 1990 01 817.9
 1990 02 658·4
 1990 03 848·5
 1990 04 498·2
 1990 05 928.2
 1990 06 487.2
 1990 07 557.1
 1990 08 807.2
 1990 09 708.0
 1990 10 318·2
 1990 11 278.3
 1990 12 98.2
 1991 01  648·0
 1991 02  938.4
 1991 03  128.5
 1991 04  818·3
 1991 05  508·4
 1991 06  427.8
 1991 07  507·6
 1991 08  657·6
 1991 09  298·6
 1991 10  98·8
 1991 11  28.8
 1991 12  558.7
 1992 01 268.4
 1992 02 528·8
 1992 03 569·0
 1992 04 708·9
 1992 05 918·8
 1992 06 518·1
 1992 07 257·9
 1992 08 558.1
 1992 09 08·7
 1992 10 149·0
 1992 11 489·1
 1992 12 789·0
 1993 01  528·4
 1993 02  719·0
 1993 03  879·1
 1993 04  348·4
 1993 05  758.3
 1993 06  807·7
 1993 07  317·0
 1993 08  427·4
 1993 09  178.3
 1993 10  228·3
 1993 11  918·4
 1993 12  458·4
 1994 01 548.3
 1994 02 48·7
 1994 03 58.8
 1994 04 148.7
 1994 05 878·7
 1994 06 587.4
 1994 07 387·1
 1994 08 428.3
 1994 09 419·1
 1994 10 409.1
 1994 11 769·1
 1994 12 489·4
 1995 01  678·9
 1995 02  329·7
 1995 03  339.7
 1995 04  779.4
 1995 05  399.7
 1995 06  409·2
 1995 07  468.7
 1995 08  979.1
 1995 09  589·4
 1995 10  969.6
 1995 11  789.8
 1995 12  39.5
 1996 01 509.6
 1996 02 5710.2
 1996 03 1710.2
 1996 04 149·0
 1996 05 658.9
 1996 06 48·5
 1996 07 778·9
 1996 08 749.7
 1996 09 7910.0
 1996 10 4410·2
 1996 11 9410.3
 1996 12 5210·3
 1997 01  919.9
 1997 02  910.4
 1997 03  3210.4
 1997 04  4310·9
 1997 05  2710.7
 1997 06  5511·8
 1997 07  799.0
 1997 08  6510.1
 1997 09  3810·8
 1997 10  6411.0
 1997 11  4811.1
 1997 12  6310·7
 1998 01 9910.8
 1998 02 4311.3
 1998 03 7611.3
 1998 04 511.2
 1998 05 1011·0
 1998 06 2210·6
 1998 07 279.3
 1998 08 8610·4
 1998 09 9711·0
 1998 10 6011.3
 1998 11 8711·4
 1998 12 2611.2
 1999 01  1010.9
 1999 02  3711.3
 1999 03  7111·3
 1999 04  6711·4
 1999 05  2411·5
 1999 06  6010.3
 1999 07  168.6
 1999 08  809.3
 1999 09  4110.0
 1999 10  6111·6
 1999 11  8511.7
 1999 12  5911.1
 2000 01 8411·1
 2000 02 9712·0
 2000 03 6612.2
 2000 04 2212.1
 2000 05 512·1
 2000 06 4811.6
 2000 07 7210·6
 2000 08 1311·1
 2000 09 8011.6
 2000 10 2212·1
 2000 11 4012.2
 2000 12 312.2
 2001 01  711·5
 2001 02  5112.2
 2001 03  3312.2
 2001 04  8412·2
 2001 05  1412.1
 2001 06  9011.7
 2001 07  4110.7
 2001 08  7711.7
 2001 09  5012·0
 2001 10  2212.5
 2001 11  7412·6
 2001 12  2512·6
 2002 01 9012·0
 2002 02 5412·6
 2002 03 7212.7
 2002 04 9812·6
 2002 05 3612·7
 2002 06 1612.5
 2002 07 9610.8
 2002 08 8912.4
 2002 09 1212.5
 2002 10 6613.0
 2002 11 3613.0
 2002 12 1712·8
 2003 01  6812·8
 2003 02  8513·1
 2003 03  313·0
 2003 04  2812·7
 2003 05  8112·8
 2003 06  7911.9
 2003 07  3711.3
 2003 08  9012·6
 2003 09  5013·1
 2003 10  8213.2
 2003 11  9913.4
 2003 12  9713.3
 2004 01 212.9
 2004 02 4813.6
 2004 03 7713.7
 2004 04 6813·6
 2004 05 8613.4
 2004 06 6012·9
 2004 07 8511·2
 2004 08 4713·3
 2004 09 7713·8
 2004 10 2413.9
 2004 11 6013·9
 2004 12 414.0
 2005 01  7713.4
 2005 02  7314·1
 2005 03  6514.1
 2005 04  3313·9
 2005 05  1013·5
 2005 06  6213.4
 2005 07  8912·1
 2005 08  5313·1
 2005 09  2713·9
 2005 10  7314·3
 2005 11  4314·4
 2005 12  814·0
 2006 01 314.1
 2006 02 1314·5
 2006 03 6714·5
 2006 04 6614·3
 2006 05 3914.5
 2006 06 1415.1
 2006 07 2213.1
 2006 08 2314·1
 2006 09 6014.4
 2006 10 3214·6
 2006 11 9714.7
 2006 12 9814·6
 2007 01  1714·1
 2007 02  4914·8
 2007 03  414.8
 2007 04  3414·7
 2007 05  8514·5
 2007 06  7113·9
 2007 07  8212·9
 2007 08  114·1
 2007 09  6314·6
 2007 10  3115.2
 2007 11  9315.2
 2007 12  9215.1
 2008 01 7914·4
 2008 02 8414.9
 2008 03 2514.9
 2008 04 2814.8
 2008 05 8114·8
 2008 06 1315.0
 2008 07 9213.7
 2008 08 5114·3
 2008 09 4614.8
 2008 10 2415·0
 2008 11 3015.1
 2008 12 3214.9
 2009 01  7414·4
 2009 02  4814.8
 2009 03  314.8
 2009 04  6514·8
 2009 05  9014·9
 2009 06  4314·4
 2009 07  9913·0
 2009 08  6714.4
 2009 09  4414.8
 2009 10  9015.0
 2009 11  3115.0
 2009 12  8514.9
 2010 01 1314·3
 2010 02 9615·1
 2010 03 3715·2
 2010 04 8615.1
 2010 05 9615·4
 2010 06 9114·1
 2010 07 7813.1
 2010 08 6614·2
 2010 09 1815·0
 2010 10 3415.2
 2010 11 4515.3
 2010 12 4215·4
 2011 01  3114.6
 2011 02  515.4
 2011 03  4815.4
 2011 04  6015.2
 2011 05  1015·2
 2011 06  1214.1
 2011 07  2613.8
 2011 08  8814·7
 2011 09  5415·2
 2011 10  8515·3
 2011 11  4315.3
 2011 12  2015·4
 2012 01 9014.8
 2012 02 8215.4
 2012 03 8515·5
 2012 04 7715·3
 2012 05 6715·0
 2012 06 8314.6
 2012 07 6713.6
 2012 08 114.7
 2012 09 6215·3
 2012 10 9715.3
 2012 11 2515·4
 2012 12 6115·4
 2013 01  7414·8
 2013 02  5415·4
 2013 03  2215.4
 2013 04  5415·2
 2013 05  2915·3
 2013 06  1114.4
 2013 07  4714.1
 2013 08  9615.0
 2013 09  7714·9
 2013 10  4915·3
 2013 11  1315.4
 2013 12  3214·8
 2014 01 9414·8
 2014 02 7615.3
 2014 03 5615.3
 2014 04 3315.2
 2014 05 8015.2
 2014 06 2314·7
 2014 07 4114.1
 2014 08 9014.8
 2014 09 6014.8
 2014 10 4715·1
 2014 11 5515·2
 2014 12 2515.1
 2015 01  8614.7
 2015 02  2815·0
 2015 03  1015.0
 2015 04  8115.0
 2015 05  3115·0
 2015 06  7513.5
 2015 07  4613.4
 2015 08  2614.4
 2015 09  9714.5
 2015 10  1814·7
 2015 11  2414·8
 2015 12  5614.8
 2016 01 1014·4
 2016 02 1414·8
 2016 03 3315·0
 2016 04 8914.7
 2016 05 1814·7
 2016 06 4513·3
 2016 07 8513.2
 2016 08 7014.4
 2016 09 9914·6
 2016 10 1814·6
 2016 11 1914.8
 2016 12 6714.7
 2017 01  5114.6
 2017 02  6414.7
 2017 03  9714.7
 2017 04  7514.5
 2017 05  214.6
 2017 06  3913.6
 2017 07  712.9
 2017 08  1314·2
 2017 09  014·5
 2017 10  2514·7
 2017 11  6214·8


 2017 12  2514.7
 2018 01 2214·7
 2018 02 3014.6
 2018 03 014·7
 2018 04 8014.5
 2018 05 6714.5
 2018 06 8413·6
 2018 07 8413.0
 2018 08 7314·3
 2018 09 6114.7
 2018 10 4514·8
 2018 11 214·8
 2018 12 2214.6
 2019 01  5514.6
 2019 02  9414·6
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  •  Series Title: Yuma, AZ, Arizona: Government; All Employees; Thousands; NSA (old benchmark 2017)
       For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
       Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

    Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

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