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
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