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IREM Forecast January 26, 2011 The U.S. and Washington Area Economic Performance and Outlook Stephen S. Fuller, PhD Dwight Schar Faculty Chair and University Professor Director, Center for Regional Analysis George Mason University
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IREM Forecast January 26, 2011 The U.S. and Washington Area Economic Performance and Outlook Stephen S. Fuller, PhD Dwight Schar Faculty Chair and University.

Jan 02, 2016

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  • IREM Forecast

    January 26, 2011The U.S. and Washington AreaEconomic Performance and OutlookStephen S. Fuller, PhD Dwight Schar Faculty Chair and University Professor Director, Center for Regional Analysis George Mason University

  • Quarters After Trough% Change in GDPRecession Recovery Patterns of GDPPast Five Recessions Sources: BEA, GMU Center for Regional Analysis, (2009 Recession has 6thQ added from GI Forecast)

    Chart1

    00000

    0.760.080.670.860.4

    2.461.321.11.391.63

    3.83.61.491.92.57

    6.25.642.611.923

    77.833.72.333.66

    7.59.924.773.155.39

    1975-Q1

    1982-Q3

    1991-Q1

    2001-Q4

    2009-Q2

    Sheet1

    1975-Q11982-Q31991-Q12001-Q42009-Q2

    000000

    10.760.080.670.860.4

    22.461.321.11.391.63

    33.83.61.491.92.57

    46.25.642.611.923

    577.833.72.333.66

    67.59.924.773.155.39

    To resize chart data range, drag lower right corner of range.

  • Quarterly GDP Revisions: Global Insight*Projected **Actual

    Quarter July 2009October 2010January 20112009 Q1 -5.5 -4.9** Q2 -2.1 -0.7** Q3 0.6 1.6** Q4 1.1 5.0**2010 Q1 1.4 3.7** Q2 2.7 1.7** Q3 2.3 1.5 2.6** Q4* 3.3 1.9 3.72011 Q1* 2.2 2.2 3.8 Q2* 2.2 3.1 Q3* 2.7 2.4 Q4* 3.7 3.3

  • U.S. Gross Domestic ProductQuarterly Change: 2006 2013

    %

    2006 2007 2008 2009 2010 2011 2012 2013Source: Global Insight Forecast > > > > > > >

    GMU Center for Regional Analysis

    Chart1

    5.4

    1.4

    0.1

    3

    0.9

    3.2

    2.3

    2.9

    -0.7

    0.6

    -4

    -6.8

    -4.9

    -0.7

    1.6

    5

    3.7

    1.7

    2.6

    3.7

    3.8

    3.1

    2.4

    3.3

    2.1

    3.1

    3.1

    3

    2.3

    3.3

    GDP

    Sheet1

    123412341234123412341234123412

    GDP5.41.40.130.93.22.32.9-0.70.6-4-6.8-4.9-0.71.653.71.72.63.73.83.12.43.32.13.13.132.33.3

  • U.S. Job Change by SectorDecember 2007 December 2009(000s)Total - 8,363,000Source: BLS March 2010 Benchmark, (Seasonally Adjusted), GMU Center for Regional AnalysisRanked by Size in 2010

    GMU Center for Regional Analysis

    Chart1

    -375

    69

    -377

    -200

    -474

    -1795

    -570

    -2192

    -544

    -1206

    -1563

    791

    35

    Series 1

    Sheet1

    Series 1Series 2Series 3

    Information-3752.42

    Federal Govt.694.42

    Transp. & Util.-3771.83

    Other Services-200

    Wlse Trade-474

    Construction-1,795

    Financial-570

    Manufacturing-2,192

    Leisure & Hosp.-544

    Retail Trade-1,206

    Prof. & Bus. Svcs-1,563

    Educ & Health Svcs791

    State & Local Govt352.85

    To resize chart data range, drag lower right corner of range.

  • U.S. Job Change by SectorDecember 2009 December 2010(000s)Total = 1,124Source: BLS March 2010 Benchmark, (Seasonally Adjusted), GMU Center for Regional AnalysisRanked by Size in 2010

    GMU Center for Regional Analysis

    Chart1

    -37

    28

    56

    65

    55

    -1

    -72

    136

    240

    116

    366

    422

    -250

    Series 1

    Sheet1

    Series 1Series 2Series 3

    Information-372.42

    Federal Govt.284.42

    Transp. & Util.561.83

    Other Services65

    Wlse Trade55

    Construction-1

    Financial-72

    Manufacturing136

    Leisure & Hosp.240

    Retail Trade116

    Prof. & Bus. Svcs366

    Educ & Health Svcs422

    State & Local Govt-2502.85

    To resize chart data range, drag lower right corner of range.

  • U.S. Unemployment Rate%Source: BLS, Seasonally Adjusted9.4 %GI Fcst 9.6 9.5 8.9 8.2 7.5 6.9

    GMU Center for Regional Analysis

    Chart1

    5.7

    5.7

    5.6

    5.8

    5.6

    5.6

    5.6

    5.5

    5.4

    5.4

    5.4

    5.4

    5.4

    5.2

    5.4

    5.2

    5.1

    5.1

    5

    5

    4.9

    5.1

    5

    5

    4.9

    4.7

    4.8

    4.7

    4.7

    4.6

    4.6

    4.8

    4.7

    4.6

    4.4

    4.5

    4.5

    4.6

    4.5

    4.4

    4.5

    4.5

    4.5

    4.6

    4.6

    4.7

    4.8

    4.7

    5

    5

    4.8

    5.1

    5

    5.4

    5.5

    5.8

    6.1

    6.2

    6.6

    6.9

    7.4

    7.7

    8.2

    8.6

    8.9

    9.4

    9.5

    9.4

    9.7

    9.8

    10.1

    10

    10

    9.7

    9.7

    9.7

    9.9

    9.7

    9.5

    9.5

    9.6

    9.6

    9.7

    9.8

    9.4

    U.S.

    Sheet1

    Dec-03Jan-04Feb-04Mar-04Apr-04May-04Jun-04Jul-04Aug-04Sep-04Oct-04Nov-04Dec-04Jan-05Feb-05Mar-05Apr-05May-05Jun-05Jul-05Aug-05Sep-05Oct-05Nov-05Dec-05Jan-06Feb-06Mar-06Apr-06May-06Jun-06Jul-06Aug-06Sep-06Oct-06Nov-06Dec-06Jan-07Feb-07Mar-07Apr-07May-07Jun-07Jul-07Aug-07Sep-07Oct-07Nov-07Dec-07Jan-08Feb-08Mar-08Apr-08May-08Jun-08Jul-08Aug-08Sep-08Oct-08Nov-08Dec-08Jan-09Feb-09Mar-09Apr-09May-09Jun-09Jul-09Aug-09Sep-09Oct-09Nov-09Dec-09Jan-10Feb-10Mar-10Apr-10May-10Jun-10Jul-10Aug-10Sep-10Oct-10Nov-10Dec-10

    U.S.5.75.75.65.85.65.65.65.55.45.45.45.45.45.25.45.25.15.1554.95.1554.94.74.84.74.74.64.64.84.74.64.44.54.54.64.54.44.54.54.54.64.64.74.84.7554.85.155.45.55.86.16.26.66.97.47.78.28.68.99.49.59.49.79.810.110109.79.79.79.99.79.59.59.69.69.79.89.4

  • Consumer Confidence100Present SituationExpectationsSource: Conference Board, GMU Center for Regional Analysis

    GMU Center for Regional Analysis

    Chart1

    125.491.9

    130.596.3

    133.994.4

    137.193.8

    138.587.9

    133.588.2

    136.190.1

    129.988.8

    138.394.4

    130.189.2

    121.285

    11880

    115.769.1

    108.375.5

    115.369.3

    10458

    90.649.4

    81.950

    74.247.3

    65.441.4

    65.343

    63.252.8

    66.166.5

    43.535.7

    42.346.2

    30.244.2

    29.742.5

    22.327.3

    21.930.2

    25.551

    29.771.5

    2565.5

    23.363.4

    25.473.8

    2373.7

    21.167

    2168.5

    20.275.9

    25.277.3

    21.762.9

    25.270.4

    28.277.4

    29.884.6

    26.872.7

    26.467.5

    24.972

    23.365.5

    23.567.5

    2474.2

    Present

    Expect

    Sheet1

    Nov-06Dec-06Jan-07Feb-07Mar-07Apr-07May-07Jun-07Jul-07Aug-07Sep-07Oct-07Nov-07Dec-07Jan-08Feb-08Mar-08Apr-08May-08Jun-08Jul-08Aug-08Sep-08Oct-08Nov-08Dec-08Jan-09Feb-09Mar-09Apr-09May-09Jun-09Jul-09Aug-09Sep-09Oct-09Nov-09Dec-09Jan-10Feb-10Mar-10Apr-10May-10Jun-10Jul-10Aug-10Sep-10Oct-10Nov-10

    Present125.4130.5133.9137.1138.5133.5136.1129.9138.3130.1121.2118115.7108.3115.310490.681.974.265.465.363.266.143.542.330.229.722.321.925.529.72523.325.42321.12120.225.221.725.228.229.826.826.424.923.323.524

    Expect91.996.394.493.887.988.290.188.894.489.2858069.175.569.35849.45047.341.44352.866.535.746.244.242.527.330.25171.565.563.473.873.76768.575.977.362.970.477.484.672.767.57265.567.574.2

  • Interest Rates2001 - 2015Forecast > > > > > >

    Chart1

    3.986.97

    1.676.54

    1.135.82

    1.355.84

    3.215.86

    4.966.42

    5.026.33

    1.936.04

    0.165.04

    0.184.68

    0.174.45

    1.275.02

    3.436.1

    3.626.24

    4.77.08

    Fed

    30-Yr

    Sheet1

    Fed30-YrSeries 3

    20013.986.972

    20021.676.542

    20031.135.823

    20041.355.845

    20053.215.86

    20064.966.42

    20075.026.33

    20081.936.04

    20090.165.04

    20100.184.68

    20110.174.45

    20121.275.02

    20133.436.1

    20143.626.24

    20154.77.08

  • Consumer Prices2001 - 2015 Forecast > > > > > >%Source: BLS, Global Insight

    Chart1

    2.8

    1.6

    2.3

    2.7

    3.4

    3.2

    2.9

    3.8

    -0.3

    1.7

    1.6

    1.9

    2

    2.2

    2.2

    Cons $P

    Sheet1

    FedCons $PSeries 3

    20013.982.82

    20021.671.62

    20031.132.33

    20041.352.75

    20053.213.4

    20064.963.2

    20075.022.9

    20081.933.8

    20090.14-0.3

    20100.211.7

    20111.71.6

    20123.341.9

    20133.552

    20144.62.2

    20152.2

  • Oil Prices$ per barrel$/barrelSource: Global InsightForecast > > > > > > > >

    GMU Center for Regional Analysis

    Chart1

    41

    57

    66

    72.2

    99.8

    61.8

    78.9

    82.83

    89.16

    93.02

    96.27

    100.2

    Series 1

    Sheet1

    Series 1Series 2Series 3

    2004412.42

    2005574.42

    2006661.83

    200772.22.85

    200899.8

    200961.8

    201078.9

    201182.83

    201289.16

    201393.02

    201496.27

    2015100.2

  • Growth in Total Consumption Outlays

    %Source: Global Insight, GMU Center for Regional AnalysisForecast > > > > >

    GMU Center for Regional Analysis

    Chart1

    4.7

    2.5

    2.7

    2.8

    3.5

    3.4

    2.9

    2.4

    -0.3

    -1.2

    1.7

    2.7

    2.4

    1.8

    2.2

    2.6

    U.S.

    Sheet1

    2000200120022003200420052006200720082009201020112012201320142015

    U.S.4.72.52.72.83.53.42.92.4-0.3-1.21.72.72.41.82.22.6

    Wash

    Wash Proj

  • The Washington Economy

    GMU Center for Regional Analysis

  • Washington MSA Leading Economic IndexMonth-Over-Year Percent Change12-MonthMoving Average

    Chart1

    -0.0090461383

    -0.0036835146

    0.0067707624

    0.0144611007

    0.0111964272

    0.0050619558

    0.0144416322

    0.0097117708

    0.0215692628

    0.0173439007

    0.0129748298

    -0.0003262109

    0.0091251833

    -0.0033282966

    -0.0260927678

    -0.0065766749

    0.0073798968

    0.005832334

    -0.005181391

    0.0136767273

    0.0014711816

    0.0175113136

    0.0088577913

    0.0182041923

    0.0185548322

    0.0288142276

    0.0319647844

    0.0272657044

    0.0102835006

    0.0172826814

    0.0241250466

    0.0130273193

    0.0304925686

    0.0226129308

    0.0143480563

    0.0213197292

    0.0097512096

    0.0164440348

    0.0139124726

    -0.0045507511

    0.0088875797

    0.0060173582

    0.0025937454

    0.0041396863

    -0.0131266954

    -0.0101445479

    0.0082911311

    -0.0015976585

    0.0102110133

    0.0023805049

    0.0072814453

    0.0184955277

    -0.0034490046

    -0.0106778639

    0.0010762722

    -0.0102323035

    0.0120361626

    0.0073583291

    -0.0030180145

    -0.0069273693

    -0.0089525582

    0.0076190548

    -0.0017604941

    -0.0064157633

    0.0044292195

    0.0009777002

    0.0019148285

    0.0106301415

    -0.0085066438

    -0.0073141871

    -0.016401701

    -0.0046239256

    -0.0097552568

    -0.0272549472

    -0.0306096986

    -0.0313510878

    -0.0313751412

    -0.0297376609

    -0.0305837417

    -0.0266605049

    -0.0171665976

    -0.0269557311

    -0.0211994638

    -0.0326220154

    -0.0244106685

    -0.0284466409

    -0.0208448208

    -0.0064515491

    0.0056996648

    0.0058198187

    0.0012

    -0.0001

    0.0001

    0.0126

    0.0145

    0.0159

    0.0153

    0.015

    0.035

    0.023

    0.0114

    0.0059

    0.00898

    0.0124

    0.0038

    -0.0019

    0.0159

    Series 1

    Sheet1

    Series 1Series 2Series 3

    Jan-02-0.00904613832.42

    Feb-02-0.00368351464.42

    Mar-020.00677076241.83

    Apr-020.01446110072.85

    May-020.0111964272

    Jun-020.0050619558

    Jul-020.0144416322

    Aug-020.0097117708

    Sep-020.0215692628

    Oct-020.0173439007

    Nov-020.0129748298

    Dec-02-0.0003262109

    Jan-030.0091251833

    Feb-03-0.0033282966

    Mar-03-0.0260927678

    Apr-03-0.0065766749

    May-030.0073798968

    Jun-030.005832334

    Jul-03-0.005181391

    Aug-030.0136767273

    Sep-030.0014711816

    Oct-030.0175113136

    Nov-030.0088577913

    Dec-030.0182041923

    Jan-040.0185548322

    Feb-040.0288142276

    Mar-040.0319647844

    Apr-040.0272657044

    May-040.0102835006

    Jun-040.0172826814

    Jul-040.0241250466

    Aug-040.0130273193

    Sep-040.0304925686

    Oct-040.0226129308

    Nov-040.0143480563

    Dec-040.0213197292

    Jan-050.0097512096

    Feb-050.0164440348

    Mar-050.0139124726

    Apr-05-0.0045507511

    May-050.0088875797

    Jun-050.0060173582

    Jul-050.0025937454

    Aug-050.0041396863

    Sep-05-0.0131266954

    Oct-05-0.0101445479

    Nov-050.0082911311

    Dec-05-0.0015976585

    Jan-060.0102110133

    Feb-060.0023805049

    Mar-060.0072814453

    Apr-060.0184955277

    May-06-0.0034490046

    Jun-06-0.0106778639

    Jul-060.0010762722

    Aug-06-0.0102323035

    Sep-060.0120361626

    Oct-060.0073583291

    Nov-06-0.0030180145

    Dec-06-0.0069273693

    Jan-07-0.0089525582

    Feb-070.0076190548

    Mar-07-0.0017604941

    Apr-07-0.0064157633

    May-070.0044292195

    Jun-070.0009777002

    Jul-070.0019148285

    Aug-070.0106301415

    Sep-07-0.0085066438

    Oct-07-0.0073141871

    Nov-07-0.016401701

    Dec-07-0.0046239256

    Jan-08-0.0097552568

    Feb-08-0.0272549472

    Mar-08-0.0306096986

    Apr-08-0.0313510878

    May-08-0.0313751412

    Jun-08-0.0297376609

    Jul-08-0.0305837417

    Aug-08-0.0266605049

    Sep-08-0.0171665976

    Oct-08-0.0269557311

    Nov-08-0.0211994638

    Dec-08-0.0326220154

    Jan-09-0.0244106685

    Feb-09-0.0284466409

    Mar-09-0.0208448208

    Apr-09-0.0064515491

    May-090.0056996648

    Jun-090.0058198187

    Jul-090.0012

    Aug-09-0.0001

    Sep-090.0001

    Oct-090.0126

    Nov-090.0145

    Dec-090.0159

    Jan-100.0153

    Feb-100.015

    Mar-100.035

    Apr-100.023

    May-100.0114

    Jun-100.0059

    Jul-100.00898

    Aug-100.0124

    Sep-100.0038

    Oct-10-0.0019

    Nov-100.0159

  • Annual Job ChangeWashington MSA000s Annual Data Annual Month over Year

    2008 2009 2010Source: BLS March 2010 Benchmark, GMU Center for Regional Analysis

    GMU Center for Regional Analysis

    Chart1

    10

    56

    71

    63

    50

    23

    17

    20

    14

    26

    26

    16

    26

    25

    17

    2

    -10

    -22

    -25

    -36

    -45

    -55

    -58

    -54

    -56

    -62

    -76

    -56

    -55

    -57

    -28

    -40

    -8.7

    7.9

    16.1

    22.4

    41.6

    18.7

    52.3

    44.6

    49.2

    Series 1

    Sheet1

    Series 1Series 2Series 3

    2002102.42

    2003564.42

    2004711.83

    2005632.85

    200650

    200723

    Jan17

    Feb20

    Mar14

    Apr26

    May26

    Jun16

    Jul26

    Aug25

    Sep17

    Oct2

    Nov-10

    Dec-22

    Jan-25

    Feb-36

    Mar-45

    Apr-55

    May-58

    Jun-54

    Jul-56

    Aug-62

    Sep-76

    Oct-56

    Nov-55

    Dec-57

    Jan-28

    Feb-40

    Mar-8.7

    Apr7.9

    May16.1

    Jun22.4

    Jul41.6

    Aug18.7

    Sep52.3

    Oct44.6

    Nov49.2

  • Job Change by SectorNov 2009 Nov 2010Washington MSA(000s)Total 49,200Source: BLS March 2010 Benchmark, GMU Center for Regional Analysis

    GMU Center for Regional Analysis

    Chart1

    1.5

    0

    -2.9

    -2.6

    1.3

    -4.1

    -4.5

    10.2

    13.4

    0.9

    12

    10

    18.5

    Series 1

    Sheet1

    Series 1Series 2Series 3

    Transp. & Util.1.52.42

    Wlse Trade04.42

    Manufacturing-2.91.83

    Information-2.6

    Financial1.3

    Other Services-4.1

    Construction-4.5

    Leisure & Hosp.10.2

    Retail Trade13.4

    State & Local Govt0.9

    Educ & Health Svcs12

    Federal Govt.10

    Prof. & Bus. Svcs18.52.85

    To resize chart data range, drag lower right corner of range.

  • 15 Largest Job MarketsJob Change Nov 09 Nov 10 (000s)Washington + 49,200Source: BLS March 2010 Benchmark, GMU Center for Regional Analysis

    GMU Center for Regional Analysis

    Chart1

    -9

    4

    -52

    49

    41

    -2

    10

    27

    5

    2

    -28

    -32

    23

    26

    12

    Series 1

    Sheet1

    Series 1Series 2Series 3

    New York-92.42

    Los Angeles44.42

    Chicago-521.83

    492.85

    Dallas41

    Philadelphia-2

    Houston10

    Boston27

    Miami5

    Atlanta2

    Detroit-28

    SF-Oakland-32

    Minneapolis23

    Phoenix26

    Seattle12

  • 10.2 DC9.3 U.S.

    6.3 SMD6.0 MSA4.8 - NVAUnemployment RateSource: BLS, Not Seasonally Adjusted

    Chart1

    5.83.63690400476.96071832343.69734935782.8038519188

    5.73.39775807246.6145219593.43289245872.6241004047

    5.73.88634553437.17232333174.01703365083.0119652783

    5.63.77744979657.11386656563.82398768682.9374219402

    5.83.81606412657.68970025663.77680135762.9325191259

    5.63.45100069586.94716560063.44102211322.6333125449

    5.63.5996322147.18255120723.63610712532.733152672

    5.64.0251016727.89338325744.09760196193.043629253

    5.53.95060064298.44443887524.10473369842.7544974149

    5.43.67511938987.28569248573.70883459062.7932201567

    5.43.44053666577.26515873093.47997029782.514223624

    5.43.47557083857.50843358163.58288642632.435983418

    5.43.56930739157.65388687363.6775067522.5304889001

    5.43.46259724727.81599663223.44874209612.4617105567

    5.23.74843298396.98399567283.93213532132.7588714423

    5.43.86635010867.53913587984.0584069732.813850872

    5.23.61172787516.95752420323.75292489832.6431727899

    5.13.36931987676.24174289423.45827517662.5832639884

    5.13.57146937447.01034892553.68106028222.6670164649

    53.77935902266.89519135193.96577310472.8562326995

    53.54502961066.28704571763.91230984342.5430921419

    4.93.41154721766.08813416783.53832934132.647531651

    5.13.29013222755.92050504893.47471624032.5343071187

    53.16006206425.90673803113.46553367122.3138951416

    53.21484991836.01376900493.49799457622.3648400815

    4.92.92800878075.92859770883.05209257572.1381419104

    4.73.15131068565.6830632243.36937821952.3173516561

    4.83.16024988495.80759406393.38849907022.3474602939

    4.72.97706326655.66890000313.09126704432.2120815346

    4.72.9039323375.43011891633.08181504962.1477606896

    4.63.03198111475.82847287553.30073804242.1502040478

    4.63.36451043725.88717898483.67699394552.478276824

    4.83.44610652416.30164696653.8194979832.4128505288

    4.73.26116138575.98304246753.45518240592.4268718651

    4.63.06654107595.73254756363.27932101942.2834331905

    4.42.86278633765.18836962053.26665179222.0238348736

    4.52.95020415545.36578888863.29656569892.1243359456

    4.52.85024527655.6341104063.01608875792.060913116

    4.63.25322196575.85200221223.4770203732.3449082306

    4.53.13466189855.45927315993.24432082822.30185146

    4.42.88461473685.13982051522.93807262042.149744877

    4.52.74656210784.85575181582.81921131032.0225056011

    4.52.84519802215.15600333582.95664804282.0774007436

    4.53.22347915955.62548922263.3702249432.3826500751

    4.63.21639709635.72737823193.40782689462.2917623315

    4.63.06961137635.42062995853.04367030162.352923955

    4.73.02579601245.61489594213.05173981952.2394480877

    4.82.96962980665.15818411023.07109086882.2257391094

    4.72.96426335065.3918563462.93539419952.2726371896

    53.03967188095.40943168962.91253365872.4109995714

    4.93.50166096696.1746366793.29801146292.7608226125

    4.83.34991401375.38820829973.23863781542.6595915137

    5.13.41164297785.93134523323.11156571622.6992553754

    53.04036211244.94027362912.96237304142.4396339826

    5.53.52808669136.14545957223.49249176592.8083760311

    5.53.85410570596.52483111873.92430132173.0800793355

    5.74.08724709236.92879273154.12363484333.1216105287

    6.14.08014681676.88926259344.04759377913.2634379162

    6.13.93874639386.97824926414.04315161683.1000689808

    6.54.11106676097.16788154494.32354237243.1975336252

    6.84.47.75345695054.42296385763.4161947337

    7.24.78.12301429864.65487072043.7971668728

    8.55.58.84929216575.52578279254.6906387553

    8.96.19.1978857795.97365887435.1583620096

    95.98.76989869755.72389242465.1435735468

    8.65.68.47834407585.52653850414.9543219034

    9.16.29.86711628396.01410998615.2747336632

    9.76.510.63270879576.47489473995.4541300234

    9.76.210.01136253536.45471044145.0926770264

    9.6610.76607714646.17836828955

    9.56.211.21516239166.26491190125.1

    9.56.211.67510094056.41715758224.9

    9.46.111.5098233256.16742026964.8

    9.76.211.94018141116.09319865954.9

    10.6711.96828461366.995.8

    10.46.911.70199686336.845.9

    10.26.610.89668930346.565.8

    9.55.99.78898129835.895

    9.369.59624116416.085.2

    9.66.410.47817757526.36767644575.3

    9.66.310.34506966046.55047214725.2

    9.56.29.99068516776.55.1

    9.25.99.56.34.8

    95.89.664.8

    9.3610.26.34.8

    US

    Wsh

    DC

    Smd

    NVA

    Sheet1

    Column1USWshDCSmdNVA

    Nov-035.83.63690400476.96071832343.69734935782.8038519188

    Dec-035.73.39775807246.6145219593.43289245872.6241004047

    Jan-045.73.88634553437.17232333174.01703365083.0119652783

    Feb-045.63.77744979657.11386656563.82398768682.9374219402

    Mar-045.83.81606412657.68970025663.77680135762.9325191259

    Apr-045.63.45100069586.94716560063.44102211322.6333125449

    May-045.63.5996322147.18255120723.63610712532.733152672

    Jun-045.64.0251016727.89338325744.09760196193.043629253

    Jul-045.53.95060064298.44443887524.10473369842.7544974149

    Aug-045.43.67511938987.28569248573.70883459062.7932201567

    Sep-045.43.44053666577.26515873093.47997029782.514223624

    Oct-045.43.47557083857.50843358163.58288642632.435983418

    Nov-045.43.56930739157.65388687363.6775067522.5304889001

    Dec-045.43.46259724727.81599663223.44874209612.4617105567

    Jan-055.23.74843298396.98399567283.93213532132.7588714423

    Feb-055.43.86635010867.53913587984.0584069732.813850872

    Mar-055.23.61172787516.95752420323.75292489832.6431727899

    Apr-055.13.36931987676.24174289423.45827517662.5832639884

    May-055.13.57146937447.01034892553.68106028222.6670164649

    Jun-0553.77935902266.89519135193.96577310472.8562326995

    Jul-0553.54502961066.28704571763.91230984342.5430921419

    Aug-054.93.41154721766.08813416783.53832934132.647531651

    Sep-055.13.29013222755.92050504893.47471624032.5343071187

    Oct-0553.16006206425.90673803113.46553367122.3138951416

    Nov-0553.21484991836.01376900493.49799457622.3648400815

    Dec-054.92.92800878075.92859770883.05209257572.1381419104

    Jan-064.73.15131068565.6830632243.36937821952.3173516561

    Feb-064.83.16024988495.80759406393.38849907022.3474602939

    Mar-064.72.97706326655.66890000313.09126704432.2120815346

    Apr-064.72.9039323375.43011891633.08181504962.1477606896

    May-064.63.03198111475.82847287553.30073804242.1502040478

    Jun-064.63.36451043725.88717898483.67699394552.478276824

    Jul-064.83.44610652416.30164696653.8194979832.4128505288

    Aug-064.73.26116138575.98304246753.45518240592.4268718651

    Sep-064.63.06654107595.73254756363.27932101942.2834331905

    Oct-064.42.86278633765.18836962053.26665179222.0238348736

    Nov-064.52.95020415545.36578888863.29656569892.1243359456

    Dec-064.52.85024527655.6341104063.01608875792.060913116

    Jan-074.63.25322196575.85200221223.4770203732.3449082306

    Feb-074.53.13466189855.45927315993.24432082822.30185146

    Mar-074.42.88461473685.13982051522.93807262042.149744877

    Apr-074.52.74656210784.85575181582.81921131032.0225056011

    May-074.52.84519802215.15600333582.95664804282.0774007436

    Jun-074.53.22347915955.62548922263.3702249432.3826500751

    Jul-074.63.21639709635.72737823193.40782689462.2917623315

    Aug-074.63.06961137635.42062995853.04367030162.352923955

    Sep-074.73.02579601245.61489594213.05173981952.2394480877

    Oct-074.82.96962980665.15818411023.07109086882.2257391094

    Nov-074.72.96426335065.3918563462.93539419952.2726371896

    Dec-0753.03967188095.40943168962.91253365872.4109995714

    Jan-084.93.50166096696.1746366793.29801146292.7608226125

    Feb-084.83.34991401375.38820829973.23863781542.6595915137

    Mar-085.13.41164297785.93134523323.11156571622.6992553754

    Apr-0853.04036211244.94027362912.96237304142.4396339826

    May-085.53.52808669136.14545957223.49249176592.8083760311

    Jun-085.53.85410570596.52483111873.92430132173.0800793355

    Jul-085.74.08724709236.92879273154.12363484333.1216105287

    Aug-086.14.08014681676.88926259344.04759377913.2634379162

    Sep-086.13.93874639386.97824926414.04315161683.1000689808

    Oct-086.54.11106676097.16788154494.32354237243.1975336252

    Nov-086.84.47.75345695054.42296385763.4161947337

    Dec-087.24.78.12301429864.65487072043.7971668728

    Jan-098.55.58.84929216575.52578279254.6906387553

    Feb-098.96.19.1978857795.97365887435.1583620096

    Mar-0995.98.76989869755.72389242465.1435735468

    Apr-098.65.68.47834407585.52653850414.9543219034

    May-099.16.29.86711628396.01410998615.2747336632

    Jun-099.76.510.63270879576.47489473995.4541300234

    Jul-099.76.210.01136253536.45471044145.0926770264

    Aug-099.6610.76607714646.17836828955

    Sep-099.56.211.21516239166.26491190125.1

    Oct-099.56.211.67510094056.41715758224.9

    Nov-099.46.111.5098233256.16742026964.8

    Dec-099.76.211.94018141116.09319865954.9

    Jan-1010.6711.96828461366.995.8

    Feb-1010.46.911.70199686336.845.9

    Mar-1010.26.610.89668930346.565.8

    Apr-109.55.99.78898129835.895

    May-109.369.59624116416.085.2

    Jun-109.66.410.47817757526.36767644575.3

    Jul-109.66.310.34506966046.55047214725.2

    Aug-109.56.29.99068516776.55.1

    Sep-109.25.99.56.34.8

    Oct-1095.89.664.8

    Nov-109.3610.26.34.8

  • Economic Forecast

    GMU Center for Regional Analysis

  • Employment Change bySub-state Region (000s)Average Annual Change 1990-2010 = 36,000Source: BLS, GMU Center for Regional Analysis, 2009-2014 based on 2010 Benchmark data from BLS

    20082009201020112012201320142015D.C.10.1 -0.610.810.39.79.69.39.4Sub. MD-4.3-26.81.515.013.615.314.914.6No. VA3.7-24.59.521.520.722.922.320.3REGION9.5-51.921.546.844.047.846.544.2

    GMU Center for Regional Analysis

  • Economic Outlook (GRP) 2015Washington Area and Sub-state Portions(Annual % Change)%DCSMMSANVSource: GMU Center for Regional Analysis

    GMU Center for Regional Analysis

    Chart1

    2.53.43.1-0.3

    3.75.23.51.2

    4.45.842.3

    4.95.653.3

    4.54.64.63.2

    44.44.22.8

    3.14.13.62.5

    1.51.61.41.3

    -0.8-1-1.20.7

    3.33.82.72.3

    3.3432.5

    3.54.33.42.6

    3.64.53.62.7

    3.74.53.72.8

    3.54.33.52.6

    MSA

    NVA

    SMD

    DC

    Sheet1

    200120022003200420052006200720082009201020112012201320142015

    MSA2.53.74.44.94.543.11.5-0.83.33.33.53.63.73.5

    NVA3.45.25.85.64.64.44.11.6-13.844.34.54.54.3

    SMD3.13.5454.64.23.61.4-1.22.733.43.63.73.5

    DC-0.31.22.33.33.22.82.51.30.72.32.52.62.72.82.6

  • %Source: Global Insight, GMU Center for Regional AnalysisGDP/GRP 2000 - 2015WashingtonU.S.

    GMU Center for Regional Analysis

    Chart1

    4.120005.82000

    1.120012.52001

    1.820023.72002

    2.520034.42003

    3.620044.92004

    3.120054.52005

    2.7200642006

    1.920073.12007

    020081.52008

    -2.62009-0.82009

    2.92.93.53.5

    20113.220113.8

    20122.920123.5

    20133.120133.7

    20143.320143.8

    2015320153.5

    US

    US -Pro

    Wsh

    Wsh-Pro

    Sheet1

    USUS -ProWshWsh-Pro

    20004.15.8

    20011.12.5

    20021.83.7

    20032.54.4

    20043.64.9

    20053.14.5

    20062.74

    20071.93.1

    200801.5

    2009-2.6-0.8

    20102.92.93.53.5

    20113.23.8

    20122.93.5

    20133.13.7

    20143.33.8

    201533.5

  • policy-cra.gmu.org

    GMU Center for Regional Analysis

    GMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analyis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional AnalysisGMU Center for Regional Analyis*GMU Center for Regional AnalysisGMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional AnalysisGMU Center for Regional Analysis*GMU Center for Regional AnalysisGMU Center for Regional Analysis