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Brown Sugar:
Deriving Satisfactionthrough Data
Analysis
By: Anirban Basu
Sage PolicyGroup, Inc.
On Behalfof
The MEDA 2018 Annual Conference
April 30th,2018
Disclaimer: Anyresemblance
between thepresentation’s title
andthespeakeris purelycoincidental.
Get off
of My
Cloud
IPSOS Global Confidence Index, April2018
Source:IPSOS
Based on data from Thomson Reuters/Ipsos Primary Consumer Sentiment Index (PCSI).
2
© 2018 Ipsos
US
Largest drops
Poland
Mexico
Belgium
CONSUMER CONFIDENCE GLOBAL SNAPSHOT
Ipsos Consumer Confidence Index
April 2018
Canada
Mexico
Argentina
56.4/ +1.3
63.6/ +2.0
47.6/ -1.0
44.9 /-4.5
Brazil
42.9/ -2.7
50.9/+0.4
Great Britain
France
42.4/-3.7
Spain
44.7/+0.5 Italy
41.0/+3.1
South Africa
44.4/ -0.1
Germany
58.9/ +0.8
Poland
49.2/-5.7
Sweden
62.8/0.0
Hungary
50.3/+7.2
Israel
57.3/+3.7
Turkey
38.6/-1.7
Saudi Arabia
56.2/+4.6
Russia
41.4/+4.4
China
72.3/+2.6
India
64.6/ -0.6
South Korea
46.4/+1.1
Japan
44.5/-0.5
Australia
53.7/0.0
47.2/-3.8
Belgium
High Low
Country
Index/3-month change
Change≥ +1.5
Change ≥ -1.5
Largest gains
Hungary
Saudi Arabia
Russia
Global Average: 50.9
(3-month change: +0.3)
Highest (over 60) In:
China, India, U.S.,
Sweden
Lowest (below 40) in:
Turkey
Up in 7 countries:
Hungary, Saudi Arabia,
Russia, Israel, Italy,
China, U.S.
Down in 6 countries:
Poland, Mexico,
Belgium, France,
Brazil, Turkey
Based on data from Thomson Reuters/Ipsos Primary Consumer Sentiment Index (PCSI).© 2018 Ipsos
US
Largest drops
Poland
Mexico
Belgium
Ipsos Consumer Confidence Index
April 2018
Canada
Mexico
Argentina
56.4/ +1.3
63.6/ +2.0
47.6/ -1.0
44.9 /-4.5
Brazil
42.9/ -2.7
50.9/+0.4
Great Britain
France
42.4/-3.7
Spain
44.7/+0.5 Italy
41.0/+3.1
South Africa
44.4/ -0.1
Germany
58.9/ +0.8
Poland
49.2/-5.7
Sweden
62.8/0.0
Hungary
50.3/+7.2
Israel
57.3/+3.7
Turkey
38.6/-1.7
Saudi Arabia
56.2/+4.6
Russia
41.4/+4.4
China
72.3/+2.6
India
64.6/ -0.6
South Korea
46.4/+1.1
Japan
44.5/-0.5
Australia
53.7/0.0
47.2/-3.8
Belgium
High Low
Country
Index/3-month change
Change≥ +1.5
Change ≥ -1.5
Largest gains
Hungary
Saudi Arabia
Russia
Global Average: 50.9
(3-month change: +0
Highest (over 60) In:
China, India, U.S.,
Sweden
Lowest (below 40) in
Turkey
Up in 7 countries:
Hungary, Saudi Arabia
Russia, Israel, Italy,
China, U.S.
Down in 6 countries:
Poland, Mexico,
Belgium, France,
Brazil, Turkey
The business confidence index (BCI) is based on enterprises’ assessment of production, orders and stocks, as well as its
current position and expectations for the immediate future. Opinions compared to a “normal” state are collected and the
difference between positive and negative answers provides a qualitative index on economic conditions.
OECD Business Confidence Index –SelectRegions/Countries
March2000-March2018
Source:OECD
94.0
95.0
96.0
97.0
98.0
99.0
100.0
101.0
102.0
103.0
104.0
Mar-00
Sep-00
Mar-01
Sep-01
Mar-02
Sep-02
Mar-03
Sep-03
Mar-04
Sep-04
Mar-05
Sep-05
Mar-06
Sep-06
Mar-07
Sep-07
Mar-08
Sep-08
Mar-09
Sep-09
Mar-10
Sep-10
Mar-11
Sep-11
Mar-12
Sep-12
Mar-13
Sep-13
Mar-14
Sep-14
Mar-15
Sep-15
Mar-16
Sep-16
Mar-17
Sep-17
Mar-18
OECD - Total Euro area (19 countries) United States China
Global Monetary Policy Tightening/Easing
AsofMarch2018
The CFR Global Monetary Policy Tracker covers
fifty-four large countries—mainly those that
target inflation in some manner. Tightening
policy is indicated in red, loosening in blue.
The more a country has raised (lowered) rates,
in percentage points, from the most recent
trough (peak) in its policy rate, the darker the
shade of red (blue). Generally, the policy rate
target is the overnight interbank rate, with
exceptions indicated.
Source:Council on ForeignRelations (CFR), Global MonetaryPolicy Tracker
Estimated Growth in Output by Select Global Areas
2018Projected
Source: International MonetaryFund: World Economic Outlook Database, April 2018
2.3%
2.3%
2.0%
3.4%
7.4%
6.6%
6.5%
1.7%
4.3%
3.4%
4.9%
2.9%
3.0%
2.1%
1.6%
1.2%
2.8%
1.5%
2.5%
2.1%
2.4%
2.5%
-6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0%
Brazil
Mexico
Latin America & the Caribbean
Middle East, North Africa, Afghanistan, & Pakistan
India
China
Emerging & Developing Asia
Russia
Emerging & Developing Europe
Sub-Saharan Africa
Emerging Market & Developing Economies
United States
Canada
Australia
Japan
Italy
United Kingdom
France
Germany
Spain
Euro Area
Advanced Economies
Annual % Change
2018 Proj. Global Output Growth: +3.9%
2017 Growth (Estimate)
World: 3.8% Euro Area: 2.3%
United States: 2.3% Japan: 1.7%
Start Me Up
0
20
40
60
80
100
120
140
2005
Apr-08
Oct-08
Apr-09
Oct-09
Apr-10
Oct-10
Apr-11
Oct-11
Apr-12
Oct-12
Apr-13
Oct-13
Apr-14
Oct-14
Apr-15
Oct-15
Apr-16
Oct-16
Apr-17
Oct-17
Apr-18
April 2018 = 128.7
where 1985 = 100
Conference Board Consumer Confidence Index
2005–April2018
Source:ConferenceBoard
NFIBIndex of Small BusinessOptimism,1986-2018
Source:NationalFederationofIndependentBusiness(NFIB)
80.0
85.0
90.0
95.0
100.0
105.0
110.0
Mar-86
Mar-87
Mar-88
Mar-89
Mar-90
Mar-91
Mar-92
Mar-93
Mar-94
Mar-95
Mar-96
Mar-97
Mar-98
Mar-99
Mar-00
Mar-01
Mar-02
Mar-03
Mar-04
Mar-05
Mar-06
Mar-07
Mar-08
Mar-09
Mar-10
Mar-11
Mar-12
Mar-13
Mar-14
Mar-15
Mar-16
Mar-17
Mar-18
Seasonally Adjusted 1986=100
Mar. 2018:
104.7
Paint It Black – Corporate Profits
U.S.CorporateProfits AfterTax*
Source:U.S.BureauofEconomicAnalysis *WithInventoryValuationAdjustment(IVA)andCapitalConsumptionAdjustment
(CCAdj);SeasonallyAdjustedAnnualRate
$0
$400
$800
$1,200
$1,600
$2,000
1950Q2
1951Q4
1953Q2
1954Q4
1956Q2
1957Q4
1959Q2
1960Q4
1962Q2
1963Q4
1965Q2
1966Q4
1968Q2
1969Q4
1971Q2
1972Q4
1974Q2
1975Q4
1977Q2
1978Q4
1980Q2
1981Q4
1983Q2
1984Q4
1986Q2
1987Q4
1989Q2
1990Q4
1992Q2
1993Q4
1995Q2
1996Q4
1998Q2
1999Q4
2001Q2
2002Q4
2004Q2
2005Q4
2007Q2
2008Q4
2010Q2
2011Q4
2013Q2
2014Q4
2016Q2
2017Q4
$ Billions
2017Q4: $1.77 Trillion
U.S. Job Openings
February2001throughFebruary2018
Source:U.S.BureauofLaborStatistics
2.0
3.0
4.0
5.0
6.0
7.0 Feb-01
Aug-01
Feb-02
Aug-02
Feb-03
Aug-03
Feb-04
Aug-04
Feb-05
Aug-05
Feb-06
Aug-06
Feb-07
Aug-07
Feb-08
Aug-08
Feb-09
Aug-09
Feb-10
Aug-10
Feb-11
Aug-11
Feb-12
Aug-12
Feb-13
Aug-13
Feb-14
Aug-14
Feb-15
Aug-15
Feb-16
Aug-16
Feb-17
Aug-17
Feb-18
JobOpenings(Millions)
Feb. 2018:
6.05M Openings
NetChange in U.S. Jobs
March2002throughMarch2018
Source:U.S.BureauofLaborStatistics
-1000
-800
-600
-400
-200
0
200
400
600 Mar-02
Jul-02
Nov-02
Mar-03
Jul-03
Nov-03
Mar-04
Jul-04
Nov-04
Mar-05
Jul-05
Nov-05
Mar-06
Jul-06
Nov-06
Mar-07
Jul-07
Nov-07
Mar-08
Jul-08
Nov-08
Mar-09
Jul-09
Nov-09
Mar-10
Jul-10
Nov-10
Mar-11
Jul-11
Nov-11
Mar-12
Jul-12
Nov-12
Mar-13
Jul-13
Nov-13
Mar-14
Jul-14
Nov-14
Mar-15
Jul-15
Nov-15
Mar-16
Jul-16
Nov-16
Mar-17
Jul-17
Nov-17
Mar-18
Thousands
March 2018:
+103K
National Nonfarm Employment
byIndustry Sector,March2017v.March2018
Source:U.S.BureauofLaborStatistics
-49
12
62
88
136
228
232
295
312
443
502
-100 0 100 200 300 400 500
Information
Government
Mining and Logging
Other Services
Financial Activities
Construction
Manufacturing
Trade, Transportation, and Utilities
Leisure and Hospitality
Education and Health Services
Professional and Business Services
Thousands, SA
All told 2,261K jobs gained
U.S. Labor ForceParticipation: Men Ages 25-34
2000–2018
Source:U.S.BureauofLaborStatistics,CurrentPopulationSurvey
88%
89%
90%
91%
92%
93%
94%
2000Q1
2000Q3
2001Q1
2001Q3
2002Q1
2002Q3
2003Q1
2003Q3
2004Q1
2004Q3
2005Q1
2005Q3
2006Q1
2006Q3
2007Q1
2007Q3
2008Q1
2008Q3
2009Q1
2009Q3
2010Q1
2010Q3
2011Q1
2011Q3
2012Q1
2012Q3
2013Q1
2013Q3
2014Q1
2014Q3
2015Q1
2015Q3
2016Q1
2016Q3
2017Q1
2017Q3
2018Q1
89.1%
Baltimore-Columbia-Towson MSA Nonfarm Employment
byIndustrySectorGroups(NSA)
March2017v.March2018AbsoluteChange
Source:U.S.BureauofLaborStatistics
-600
-400
-300
-100
100
1,600
2,400
2,900
5,800
9,900
-2,000 2,000 6,000 10,000
Other Services
Information
Manufacturing
Financial Activities
Leisure and Hospitality
Government
Mining, Logging, and Construction
Trade, Transportation, and Utilities
Professional and Business Services
Education and Health Services
Baltimore MSA Total:
+21.3K; +1.5%
MD Total (SA):
+10.8K; +0.4%
US Total (SA):
+2,261K; +1.5%
-500
-400
-300
-200
200
300
600
800
2,000
2,400
-1,000 -500 0 500 1,000 1,500 2,000 2,500 3,000
Information
Professional and Business Services
Government
Other Services
Financial Activities
Manufacturing
Leisure and Hospitality
Trade, Transportation, and Utilities
Education and Health Services
Mining, Logging, and Construction
Silver Spring-Frederick-Rockville, MD Metro Division Nonfarm Employment
byIndustrySectorGroups(SA)
March2017v.March2018AbsoluteChange
Source: U.S. Bureau of Labor Statistics
SS-F-R MSA Total:
+4.9K; +0.8%
MD Total (SA):
+10.8K; +0.4%
US Total (SA):
+2,261K; +1.5%
-500
-400
-300
-200
200
300
600
800
2,000
2,400
-1,000 -500 0 500 1,000 1,500 2,000 2,500 3,000
Information
Professional and Business Services
Government
Other Services
Financial Activities
Manufacturing
Leisure and Hospitality
Trade, Transportation, and Utilities
Education and Health Services
Mining, Logging, and Construction
Silver Spring-Frederick-Rockville, MD Metro Division Nonfarm Employment
byIndustrySectorGroups(SA)
March2017v.March2018AbsoluteChange
Source: U.S. Bureau of Labor Statistics
SS-F-R MSA Total:
+4.9K; +0.8%
MD Total (SA):
+10.8K; +0.4%
US Total (SA):
+2,261K; +1.5%
-3,400
-3,200
-200
-200
-100
100
100
500
800
1,200
-4,000 -3,000 -2,000 -1,000 0 1,000 2,000
Government
Leisure and Hospitality
Manufacturing
Information
Mining, Logging, and Construction
Financial Activities
Other Services
Trade, Transportation, and Utilities
Professional and Business Services
Education and Health Services
Calvert-Charles-Prince George’s Nonfarm Employment
byIndustrySectorGroups(SA)
March2017v.March2018AbsoluteChange
Source: U.S. Bureau of Labor Statistics
C-Ch-P Total:
-4.4K; -1.1%
MD Total (SA):
+10.8K; +0.4%
US Total (SA):
+2,261K; +1.5%
-500
-400
-200
0
0
100
100
200
300
900
-600 -400 -200 0 200 400 600 800 1,000
Financial Activities
Information
Government
Professional and Business Services
Other Services
Education and Health Services
Leisure and Hospitality
Mining, Logging, and Construction
Manufacturing
Trade, Transportation, and Utilities
Hagerstown-Martinsburg MSA Nonfarm Employment
byIndustrySectorGroups(SA)
March2017v.March2018AbsoluteChange
Source: U.S. Bureau of Labor Statistics
Hagerstown MSA
Total: +0.5K; +0.5%
MD Total (SA):
+10.8K; +0.4%
US Total (SA):
+2,261K; +1.5%
Salisbury City EmploymentGrowth(NSA)
February2010–February2018
Source: U.S. Bureau of Labor Statistics
-1,700
-1,200
-700
-200
300
Feb-10
Apr-10
Jun-10
Aug-10
Oct-10
Dec-10
Feb-11
Apr-11
Jun-11
Aug-11
Oct-11
Dec-11
Feb-12
Apr-12
Jun-12
Aug-12
Oct-12
Dec-12
Feb-13
Apr-13
Jun-13
Aug-13
Oct-13
Dec-13
Feb-14
Apr-14
Jun-14
Aug-14
Oct-14
Dec-14
Feb-15
Apr-15
Jun-15
Aug-15
Oct-15
Dec-15
Feb-16
Apr-16
Jun-16
Aug-16
Oct-16
Dec-16
Feb-17
Apr-17
Jun-17
Aug-17
Oct-17
Dec-17
Feb-18
12-MonthNetChange
February 2017 v. February 2018:
+171 jobs (+1.2%)
Maryland Nonfarm Employment
byIndustrySectorGroups(SA)
March2017v.March2018AbsoluteChange
Source:U.S.BureauofLaborStatistics
-5,100
-2,200
-1,700
-1,600
-1,100
1,400
2,100
2,400
3,800
12,800
-7,000 -2,000 3,000 8,000 13,000
Leisure and Hospitality
Financial Activities
Government
Information
Other Services
Manufacturing
Mining, Logging, and Construction
Professional and Business Services
Trade, Transportation, and Utilities
Education and Health Services
MD Total:
+10.8K; +0.4%
US Total (SA):
+2,261K; +1.5%
*Accordingto the Local AreaUnemploymentStatistics (LAUS) series
MD added 11,460jobs between March2017and March 2018.
RANK STATE % RANK STATE % RANK STATE %
1 IDAHO 3.3 18 MICHIGAN 1.4 35 IOWA 0.7
1 UTAH 3.3 18 PENNSYLVANIA 1.4 35 MINNESOTA 0.7
3 NEVADA 2.9 20 HAWAII 1.3 35 WEST VIRGINIA 0.7
4 WASHINGTON 2.8 20 MISSISSIPPI 1.3 38 ILLINOIS 0.6
5 COLORADO 2.4 20 NEW HAMPSHIRE 1.3 38 LOUISIANA 0.6
5 TEXAS 2.4 20 RHODE ISLAND 1.3 38 MONTANA 0.6
7 ARIZONA 2.3 24 MASSACHUSETTS 1.2 38 NEBRASKA 0.6
8 OREGON 2.2 24 NEW MEXICO 1.2 42 CONNECTICUT 0.5
9 FLORIDA 2.0 24 NEW YORK 1.2 42 DELAWARE 0.5
10 CALIFORNIA 1.9 24 WYOMING 1.2 42 DISTRICT OF COLUMBIA 0.5
11 NORTH CAROLINA 1.7 28 ALABAMA 1.0 42 MAINE 0.5
11 OKLAHOMA 1.7 28 MISSOURI 1.0 46 MARYLAND 0.4
11 SOUTH CAROLINA 1.7 28 OHIO 1.0 46 ARKANSAS 0.4
14 NEW JERSEY 1.6 28 VIRGINIA 1.0 48 KENTUCKY 0.2
14 TENNESSEE 1.6 28 WISCONSIN 1.0 48 VERMONT 0.2
16 GEORGIA 1.5 33 INDIANA 0.9 50 ALASKA -0.2
16 SOUTH DAKOTA 1.5 34 KANSAS 0.8 51 NORTH DAKOTA -1.3
Employment Growth, U.S. States (SA)
March2017v.March2018PercentChange
Source:U.S.BureauofLaborStatistics
U.S.Year-over-yearPercentChange:+1.5%
Rank MSA % Rank MSA %
1 Orlando-Kissimmee-Sanford, FL MSA 3.5 14 Baltimore-Columbia-Towson, MD MSA 1.5
2 Phoenix-Mesa-Scottsdale, AZ MSA 3.2 14 San Francisco-Oakland-Hayward, CA MSA 1.5
2 Riverside-San Bernardino-Ontario, CA MSA 3.2 16 Los Angeles-Long Beach-Anaheim, CA MSA 1.4
4 Charlotte-Concord-Gastonia, NC-SC MSA 3.0 17 New York-Newark-Jersey City, NY-NJ-PA MSA 1.3
4 Seattle-Tacoma-Bellevue, WA MSA 3.0
18
Washington-Arlington-Alexandria,
DC-VA-MD-WV MSA
1.2
6 Dallas-Fort Worth-Arlington, TX MSA 2.8
7 Denver-Aurora-Lakewood, CO MSA 2.5 18 Detroit-Warren-Dearborn, MI MSA 1.2
8 Tampa-St. Petersburg-Clearwater, FL MSA 2.2 18
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
MSA
1.2
9 Houston-The Woodlands-Sugar Land, TX MSA 2.1 21
Miami-Fort Lauderdale-West Palm Beach, FL
MSA
1.1
10 San Diego-Carlsbad, CA MSA 1.9 22
Boston-Cambridge-Nashua, MA-NH Metro
NECTA
0.9
11 San Antonio-New Braunfels, TX MSA 1.8 22 St. Louis, MO-IL MSA 0.9
12 Atlanta-Sandy Springs-Roswell, GA MSA 1.7 24 Minneapolis-St. Paul-Bloomington, MN-WI MSA 0.8
12 Portland-Vancouver-Hillsboro, OR-WA MSA 1.7 25 Chicago-Naperville-Elgin, IL-IN-WI MSA 0.5
Employment Growth, 25 Largest Metros(NSA)
March2017v.March2018PercentChange
Source:U.S.BureauofLaborStatistics,CurrentEmploymentStatistics(CES)Survey
Unemployment Rates, 25 Largest Metros(NSA)
February2018
Source:U.S.BureauofLaborStatistics,CurrentEmploymentStatistics(CES)Survey 1.AreaboundariesdonotreflectofficialOMBdefinitions.
U.S.UnemploymentRate:4.1%
Rank MSA UR Rank MSA UR
1 San Francisco-Oakland-Hayward, CA MSA 2.9 14 Los Angeles-Long Beach-Anaheim, CA MSA 4.2
2 Denver-Aurora-Lakewood, CO MSA 3.1 15 Atlanta-Sandy Springs-Roswell, GA MSA 4.3
3 Minneapolis-St. Paul-Bloomington, MN-WI MSA 3.3 15 Charlotte-Concord-Gastonia, NC-SC MSA 4.3
4 Orlando-Kissimmee-Sanford, FL MSA 3.4 15 Seattle-Tacoma-Bellevue, WA MSA 4.3
4 San Antonio-New Braunfels, TX MSA 3.4 18 Phoenix-Mesa-Scottsdale, AZ MSA 4.4
6
Boston-Cambridge-Nashua, MA-NH Metro
NECTA
3.5 18 Riverside-San Bernardino-Ontario, CA MSA 4.4
6 San Diego-Carlsbad, CA MSA 3.5 20 Baltimore-Columbia-Towson, MD MSA 4.6
8
Washington-Arlington-Alexandria, DC-VA-
MD-WV MSA
3.6 20 Detroit-Warren-Dearborn, MI MSA 4.6
8 Tampa-St. Petersburg-Clearwater, FL MSA 3.6 20 New York-Newark-Jersey City, NY-NJ-PA MSA 4.6
10 Dallas-Fort Worth-Arlington, TX MSA 3.7 23 Houston-The Woodlands-Sugar Land, TX MSA 4.7
11 St. Louis, MO-IL MSA (1) 3.8
24
Philadelphia-Camden-Wilmington, PA-NJ-DE-
MD MSA
4.9
12 Portland-Vancouver-Hillsboro, OR-WA MSA 4.0
13
Miami-Fort Lauderdale-West Palm Beach, FL
MSA
4.1 25 Chicago-Naperville-Elgin, IL-IN-WI MSA 5.2
Source:U.S.BureauofLaborStatistics
Rank Jurisdiction % Rank Jurisdiction %
1 Howard County 3.4 13 Talbot County 4.9
2 Montgomery County 3.5 14 Caroline County 5.0
3 Anne Arundel County 3.8 15 Cecil County 5.3
4 Carroll County 3.9 15 Washington County 5.3
5 Calvert County 4.0 17 Kent County 6.1
6 Frederick County 4.1 18 Baltimore City 6.4
6 Queen Anne's County 4.1 19 Garrett County 6.5
8 Charles County 4.3 20 Dorchester County 6.6
8 Harford County 4.3 21 Allegany County 6.7
10 St. Mary's County 4.4 22 Wicomico County 7.0
11 Prince George's County 4.5 23 Somerset County 8.6
12 Baltimore County 4.6 24 Worcester County 12.1
Maryland Unemployment Rates by County
February2018
MarylandJurisdictions:Population Change
April2010-July2017
Source: Maryland Departmentof Planning
Source: Maryland Department of Planning
Maryland:
+4.6%
Jurisdiction % Chg. Jurisdiction % Chg.
Howard 11.3% Washington 1.9%
Charles 8.6% Cecil 1.6%
Montgomery 8.5% Caroline 0.4%
Frederick 7.6% Worcester 0.4%
St.Mary's 6.6% Carroll 0.3%
Anne Arundel 6.3% BaltimoreCity -1.5%
PrinceGeorge's 5.5% Dorchester -1.6%
QueenAnne's 4.1% Somerset -2.1%
Wicomico 4.0% Talbot -2.1%
Baltimore 3.2% Garrett -3.0%
Calvert 2.8% Kent -4.1%
Harford 2.8% Allegany -4.5%
Fastest/Slowest Growing MD Municipalities
Population GrowthApril2010 –July2016
Source: Maryland Department of Planning; U.S. Census Bureau
TOP 20 BOTTOM 20
RANK CITY/PLACE COUNTY % RANK CITY/PLACE COUNTY %
1 Leonardtown town St. Mary's 27.25% 138 Preston town Caroline -2.75%
2 Gaithersburg city Montgomery 13.14% 139 Chestertown town Kent -2.76%
3 Centreville town Queen Anne's 10.01% 140 Accident town Garrett -2.77%
4 Rockville city Montgomery 9.29% 141 Luke town Allegany -3.08%
5 Princess Anne town Somerset 8.88% 142 Loch Lynn Heights town Garrett -3.08%
6 Salisbury city Wicomico 8.55% 143 Queen Anne town Queen Anne's/Talbot -3.15%
7 Emmitsburg town Frederick 8.23% 144 Crisfield city Somerset -3.38%
8 Fruitland city Wicomico 8.10% 145 Frostburg city Allegany -3.39%
9 Frederick city Frederick 7.31% 146 Friendsville town Garrett -3.46%
10 Poolesville town Montgomery 6.92% 147 Kitzmiller town Garrett -3.74%
11 Washington Grove town Montgomery 6.62% 148 Deer Park town Garrett -3.80%
12 North Chevy Chase village Montgomery 6.53% 149 Cumberland city Allegany -4.09%
13 Somerset town Montgomery 6.42% 150 Betterton town Kent -4.14%
14 Chevy Chase View town Montgomery 6.36% 151 Lonaconing town Allegany -4.55%
15 Kensington town Montgomery 6.25% 152 Westernport town Allegany -4.87%
16 Takoma Park city Montgomery 6.24% 153 Barton town Allegany -5.07%
17 Highland Beach town Anne Arundel 6.19% 154 Millington town Kent -5.11%
18 College Park city Prince George's 6.12% 155 Oxford town Talbot -5.22%
19 Garrett Park town Montgomery 5.98% 156 Midland town Allegany -5.56%
20 Myersville town Frederick 5.97% 157 Trappe town Talbot -5.76%
Gimme
Shelter
15-Year & 30-Year Fixed Mortgage Rates
April1995throughApril2018*
Source:FreddieMac
*Week ending 4/26/2018
4.02%
4.58%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
Apr-95
Oct-95
Apr-96
Oct-96
Apr-97
Oct-97
Apr-98
Oct-98
Apr-99
Oct-99
Apr-00
Oct-00
Apr-01
Oct-01
Apr-02
Oct-02
Apr-03
Oct-03
Apr-04
Oct-04
Apr-05
Oct-05
Apr-06
Oct-06
Apr-07
Oct-07
Apr-08
Oct-08
Apr-09
Oct-09
Apr-10
Oct-10
Apr-11
Oct-11
Apr-12
Oct-12
Apr-13
Oct-13
Apr-14
Oct-14
Apr-15
Oct-15
Apr-16
Oct-16
Apr-17
Oct-17
Apr-18
Rate
15-yr 30-yr
U.S. Households: Owner v. Renter Occupied, 1965-2017
Source:U.S.CensusBureau;PewResearchCenter
36.2
75.4 76.2
21.3
34.2
43.1
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
2015
2017
# of Household Heads
(Millions)
Homeowners
Renters
• From 2006-2017 the
number of households
headed by owners
remained relatively flat.
• At the same time, the
number of households
renting their home
increased significantly
(+26%).
• The share of renter
households also
increased—from 31.2%
of households in 2006 to
36.1% in 2017.
58%
60%
62%
64%
66%
68%
70%
1980Q1
1981Q1
1982Q1
1983Q1
1984Q1
1985Q1
1986Q1
1987Q1
1988Q1
1989Q1
1990Q1
1991Q1
1992Q1
1993Q1
1994Q1
1995Q1
1996Q1
1997Q1
1998Q1
1999Q1
2000Q1
2001Q1
2002Q1
2003Q1
2004Q1
2005Q1
2006Q1
2007Q1
2008Q1
2009Q1
2010Q1
2011Q1
2012Q1
2013Q1
2014Q1
2015Q1
2016Q1
2017Q1
2018Q1
2018Q1:
64.2%
U.S. Homeownership(NSA)
1980Q1-2018Q1
Source:U.S.CensusBureau *NSA:notseasonallyadjusted
$0
$10
$20
$30
$40
$50
$60
$70
Feb-93
Feb-94
Feb-95
Feb-96
Feb-97
Feb-98
Feb-99
Feb-00
Feb-01
Feb-02
Feb-03
Feb-04
Feb-05
Feb-06
Feb-07
Feb-08
Feb-09
Feb-10
Feb-11
Feb-12
Feb-13
Feb-14
Feb-15
Feb-16
Feb-17
Feb-18
$Billions(SAAR) U.S. Private New Multifamily Construction
February1993throughFebruary2018
Source:U.S.CensusBureau
S&P/Case-Shiller Home Price Indices for Select Metros
February2018,12-MonthPercentageChange
Source:Standard&Poor’s
0%
2%
4%
6%
8%
10%
12%
2.4% 2.6%
4.6%
5.7% 6.0% 6.4% 6.5% 6.8%
8.3% 8.4% 8.4%
10.1%
11.7%
12-Month%Change
U.S. Single-Family Housing Starts
March1999throughMarch2018
Source:U.S.CensusBureau
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000 Mar-99
Sep-99
Mar-00
Sep-00
Mar-01
Sep-01
Mar-02
Sep-02
Mar-03
Sep-03
Mar-04
Sep-04
Mar-05
Sep-05
Mar-06
Sep-06
Mar-07
Sep-07
Mar-08
Sep-08
Mar-09
Sep-09
Mar-10
Sep-10
Mar-11
Sep-11
Mar-12
Sep-12
Mar-13
Sep-13
Mar-14
Sep-14
Mar-15
Sep-15
Mar-16
Sep-16
Mar-17
Sep-17
Mar-18
Thousands,SAAR
March 2018: 867K
19th
Nervous
Breakdown
GrossDomestic Product
1990Q1through2018Q1*
Source:U.S.BureauofEconomicAnalysis *1st (Advance)Estimate
-10%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8% 1990Q1
1991Q1
1992Q1
1993Q1
1994Q1
1995Q1
1996Q1
1997Q1
1998Q1
1999Q1
2000Q1
2001Q1
2002Q1
2003Q1
2004Q1
2005Q1
2006Q1
2007Q1
2008Q1
2009Q1
2010Q1
2011Q1
2012Q1
2013Q1
2014Q1
2015Q1
2016Q1
2017Q1
2018Q1
%ChangefromPrecedingPeriod(SAAR)
2018Q1: +2.3%
Conference Board Leading Economic Indicators Index
August2007 throughMarch2018
Source:ConferenceBoard
-1.5%
-1.0%
-0.5%
0.0%
0.5%
1.0%
1.5% Aug-07
Nov-07
Feb-08
May-08
Aug-08
Nov-08
Feb-09
May-09
Aug-09
Nov-09
Feb-10
May-10
Aug-10
Nov-10
Feb-11
May-11
Aug-11
Nov-11
Feb-12
May-12
Aug-12
Nov-12
Feb-13
May-13
Aug-13
Nov-13
Feb-14
May-14
Aug-14
Nov-14
Feb-15
May-15
Aug-15
Nov-15
Feb-16
May-16
Aug-16
Nov-16
Feb-17
May-17
Aug-17
Nov-17
Feb-18
One-monthPercentChange
March 2018: 109.0
where 2016: 100
U.S. Saving Rate, February2005 – February 2018
(SavingsasPercentageofPersonalDisposable Income)
Source:U.S.BureauofEconomicAnalysis
0.0
2.0
4.0
6.0
8.0
10.0
12.0
Feb-05
Jun-05
Oct-05
Feb-06
Jun-06
Oct-06
Feb-07
Jun-07
Oct-07
Feb-08
Jun-08
Oct-08
Feb-09
Jun-09
Oct-09
Feb-10
Jun-10
Oct-10
Feb-11
Jun-11
Oct-11
Feb-12
Jun-12
Oct-12
Feb-13
Jun-13
Oct-13
Feb-14
Jun-14
Oct-14
Feb-15
Jun-15
Oct-15
Feb-16
Jun-16
Oct-16
Feb-17
Jun-17
Oct-17
Feb-18
SavingsRate(%)
February 2018:
3.4%
Global Debt Reaches AllTime Highs (IIF)
Sources:1.InstituteofInternationalFinance(IFF),GlobalDebtMonitor.2.BusinessInsider.3.TheTelegraph.4.Reuters.
• According to the International Institute of Finance (IIF), global debt
has reached an all-time high in 2016;
• At $215 trillion, global debt—including household, government, and
corporate—now represents 325% of global GDP;
• Last year the IMF warned of risks to the global economy:
• “sheer size of debt could set the stage for an unprecedented private
deleveraging process that could thwart the fragile economic recovery”
ShillerPrice-EarningsRatio, 1980-2018
Source:RobertJ.ShillerData usedinhisbook,"IrrationalExuberance"PrincetonUniversityPress.
0
10
20
30
40
50
Mar-80
Mar-81
Mar-82
Mar-83
Mar-84
Mar-85
Mar-86
Mar-87
Mar-88
Mar-89
Mar-90
Mar-91
Mar-92
Mar-93
Mar-94
Mar-95
Mar-96
Mar-97
Mar-98
Mar-99
Mar-00
Mar-01
Mar-02
Mar-03
Mar-04
Mar-05
Mar-06
Mar-07
Mar-08
Mar-09
Mar-10
Mar-11
Mar-12
Mar-13
Mar-14
Mar-15
Mar-16
Mar-17
Mar-18
Mar. 2018:
32.77
Shattered!--- BitcoinPrice, 2014-2018
Source:CoinMarketCap.com
$0
$4,000
$8,000
$12,000
$16,000
$20,000 4/1/14
6/1/14
8/1/14
10/1/14
12/1/14
2/1/15
4/1/15
6/1/15
8/1/15
10/1/15
12/1/15
2/1/16
4/1/16
6/1/16
8/1/16
10/1/16
12/1/16
2/1/17
4/1/17
6/1/17
8/1/17
10/1/17
12/1/17
2/1/18
4/1/18
4/23/2018:
$8.9K
Time is on My Side, at least in the Near-Term
• U.S. setting up for best year since
’05. . .;
• Global economy also picking up
momentum, in large measure due
to policymaking;
• Job opportunities are abundant;
• Corporate profitability elevated;
• Consumer and business confidence
has been surging. . .;
• And now tax cuts, including major
reductions in corporate taxes . . .
What could go wrong?;
• A lot can go wrong – that’s always true
– first there are the Black Swan threats:
• “I’m forever blowing bubbles, pretty
bubbles in the air, they fly so high,
nearly reach the sky, and like my
dreams, they fade and die”;
• Where are all the pretty bubbles?
Equity markets? U.S. bond market?
Commercial real estate? Bitcoin?
• 2018 will be fine – better than fine –
2019 might be, too, but beyond that,
potential deleveraging cycle prompted
by a repricing of assets – Bad!!!!
Thank You
Please followme onTwitter--@sageanirban
Please lookfor updatesof informationatwww.sagepolicy.com.
Please contactus whenyourequire economic
research& policyanalysis.

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2018 MEDA Annual Conference - Economic Outlook - Sage Policy Group

  • 1. Brown Sugar: Deriving Satisfactionthrough Data Analysis By: Anirban Basu Sage PolicyGroup, Inc. On Behalfof The MEDA 2018 Annual Conference April 30th,2018 Disclaimer: Anyresemblance between thepresentation’s title andthespeakeris purelycoincidental.
  • 3. IPSOS Global Confidence Index, April2018 Source:IPSOS Based on data from Thomson Reuters/Ipsos Primary Consumer Sentiment Index (PCSI). 2 © 2018 Ipsos US Largest drops Poland Mexico Belgium CONSUMER CONFIDENCE GLOBAL SNAPSHOT Ipsos Consumer Confidence Index April 2018 Canada Mexico Argentina 56.4/ +1.3 63.6/ +2.0 47.6/ -1.0 44.9 /-4.5 Brazil 42.9/ -2.7 50.9/+0.4 Great Britain France 42.4/-3.7 Spain 44.7/+0.5 Italy 41.0/+3.1 South Africa 44.4/ -0.1 Germany 58.9/ +0.8 Poland 49.2/-5.7 Sweden 62.8/0.0 Hungary 50.3/+7.2 Israel 57.3/+3.7 Turkey 38.6/-1.7 Saudi Arabia 56.2/+4.6 Russia 41.4/+4.4 China 72.3/+2.6 India 64.6/ -0.6 South Korea 46.4/+1.1 Japan 44.5/-0.5 Australia 53.7/0.0 47.2/-3.8 Belgium High Low Country Index/3-month change Change≥ +1.5 Change ≥ -1.5 Largest gains Hungary Saudi Arabia Russia Global Average: 50.9 (3-month change: +0.3) Highest (over 60) In: China, India, U.S., Sweden Lowest (below 40) in: Turkey Up in 7 countries: Hungary, Saudi Arabia, Russia, Israel, Italy, China, U.S. Down in 6 countries: Poland, Mexico, Belgium, France, Brazil, Turkey Based on data from Thomson Reuters/Ipsos Primary Consumer Sentiment Index (PCSI).© 2018 Ipsos US Largest drops Poland Mexico Belgium Ipsos Consumer Confidence Index April 2018 Canada Mexico Argentina 56.4/ +1.3 63.6/ +2.0 47.6/ -1.0 44.9 /-4.5 Brazil 42.9/ -2.7 50.9/+0.4 Great Britain France 42.4/-3.7 Spain 44.7/+0.5 Italy 41.0/+3.1 South Africa 44.4/ -0.1 Germany 58.9/ +0.8 Poland 49.2/-5.7 Sweden 62.8/0.0 Hungary 50.3/+7.2 Israel 57.3/+3.7 Turkey 38.6/-1.7 Saudi Arabia 56.2/+4.6 Russia 41.4/+4.4 China 72.3/+2.6 India 64.6/ -0.6 South Korea 46.4/+1.1 Japan 44.5/-0.5 Australia 53.7/0.0 47.2/-3.8 Belgium High Low Country Index/3-month change Change≥ +1.5 Change ≥ -1.5 Largest gains Hungary Saudi Arabia Russia Global Average: 50.9 (3-month change: +0 Highest (over 60) In: China, India, U.S., Sweden Lowest (below 40) in Turkey Up in 7 countries: Hungary, Saudi Arabia Russia, Israel, Italy, China, U.S. Down in 6 countries: Poland, Mexico, Belgium, France, Brazil, Turkey
  • 4. The business confidence index (BCI) is based on enterprises’ assessment of production, orders and stocks, as well as its current position and expectations for the immediate future. Opinions compared to a “normal” state are collected and the difference between positive and negative answers provides a qualitative index on economic conditions. OECD Business Confidence Index –SelectRegions/Countries March2000-March2018 Source:OECD 94.0 95.0 96.0 97.0 98.0 99.0 100.0 101.0 102.0 103.0 104.0 Mar-00 Sep-00 Mar-01 Sep-01 Mar-02 Sep-02 Mar-03 Sep-03 Mar-04 Sep-04 Mar-05 Sep-05 Mar-06 Sep-06 Mar-07 Sep-07 Mar-08 Sep-08 Mar-09 Sep-09 Mar-10 Sep-10 Mar-11 Sep-11 Mar-12 Sep-12 Mar-13 Sep-13 Mar-14 Sep-14 Mar-15 Sep-15 Mar-16 Sep-16 Mar-17 Sep-17 Mar-18 OECD - Total Euro area (19 countries) United States China
  • 5. Global Monetary Policy Tightening/Easing AsofMarch2018 The CFR Global Monetary Policy Tracker covers fifty-four large countries—mainly those that target inflation in some manner. Tightening policy is indicated in red, loosening in blue. The more a country has raised (lowered) rates, in percentage points, from the most recent trough (peak) in its policy rate, the darker the shade of red (blue). Generally, the policy rate target is the overnight interbank rate, with exceptions indicated. Source:Council on ForeignRelations (CFR), Global MonetaryPolicy Tracker
  • 6. Estimated Growth in Output by Select Global Areas 2018Projected Source: International MonetaryFund: World Economic Outlook Database, April 2018 2.3% 2.3% 2.0% 3.4% 7.4% 6.6% 6.5% 1.7% 4.3% 3.4% 4.9% 2.9% 3.0% 2.1% 1.6% 1.2% 2.8% 1.5% 2.5% 2.1% 2.4% 2.5% -6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% Brazil Mexico Latin America & the Caribbean Middle East, North Africa, Afghanistan, & Pakistan India China Emerging & Developing Asia Russia Emerging & Developing Europe Sub-Saharan Africa Emerging Market & Developing Economies United States Canada Australia Japan Italy United Kingdom France Germany Spain Euro Area Advanced Economies Annual % Change 2018 Proj. Global Output Growth: +3.9% 2017 Growth (Estimate) World: 3.8% Euro Area: 2.3% United States: 2.3% Japan: 1.7%
  • 9. NFIBIndex of Small BusinessOptimism,1986-2018 Source:NationalFederationofIndependentBusiness(NFIB) 80.0 85.0 90.0 95.0 100.0 105.0 110.0 Mar-86 Mar-87 Mar-88 Mar-89 Mar-90 Mar-91 Mar-92 Mar-93 Mar-94 Mar-95 Mar-96 Mar-97 Mar-98 Mar-99 Mar-00 Mar-01 Mar-02 Mar-03 Mar-04 Mar-05 Mar-06 Mar-07 Mar-08 Mar-09 Mar-10 Mar-11 Mar-12 Mar-13 Mar-14 Mar-15 Mar-16 Mar-17 Mar-18 Seasonally Adjusted 1986=100 Mar. 2018: 104.7
  • 10. Paint It Black – Corporate Profits U.S.CorporateProfits AfterTax* Source:U.S.BureauofEconomicAnalysis *WithInventoryValuationAdjustment(IVA)andCapitalConsumptionAdjustment (CCAdj);SeasonallyAdjustedAnnualRate $0 $400 $800 $1,200 $1,600 $2,000 1950Q2 1951Q4 1953Q2 1954Q4 1956Q2 1957Q4 1959Q2 1960Q4 1962Q2 1963Q4 1965Q2 1966Q4 1968Q2 1969Q4 1971Q2 1972Q4 1974Q2 1975Q4 1977Q2 1978Q4 1980Q2 1981Q4 1983Q2 1984Q4 1986Q2 1987Q4 1989Q2 1990Q4 1992Q2 1993Q4 1995Q2 1996Q4 1998Q2 1999Q4 2001Q2 2002Q4 2004Q2 2005Q4 2007Q2 2008Q4 2010Q2 2011Q4 2013Q2 2014Q4 2016Q2 2017Q4 $ Billions 2017Q4: $1.77 Trillion
  • 11. U.S. Job Openings February2001throughFebruary2018 Source:U.S.BureauofLaborStatistics 2.0 3.0 4.0 5.0 6.0 7.0 Feb-01 Aug-01 Feb-02 Aug-02 Feb-03 Aug-03 Feb-04 Aug-04 Feb-05 Aug-05 Feb-06 Aug-06 Feb-07 Aug-07 Feb-08 Aug-08 Feb-09 Aug-09 Feb-10 Aug-10 Feb-11 Aug-11 Feb-12 Aug-12 Feb-13 Aug-13 Feb-14 Aug-14 Feb-15 Aug-15 Feb-16 Aug-16 Feb-17 Aug-17 Feb-18 JobOpenings(Millions) Feb. 2018: 6.05M Openings
  • 12. NetChange in U.S. Jobs March2002throughMarch2018 Source:U.S.BureauofLaborStatistics -1000 -800 -600 -400 -200 0 200 400 600 Mar-02 Jul-02 Nov-02 Mar-03 Jul-03 Nov-03 Mar-04 Jul-04 Nov-04 Mar-05 Jul-05 Nov-05 Mar-06 Jul-06 Nov-06 Mar-07 Jul-07 Nov-07 Mar-08 Jul-08 Nov-08 Mar-09 Jul-09 Nov-09 Mar-10 Jul-10 Nov-10 Mar-11 Jul-11 Nov-11 Mar-12 Jul-12 Nov-12 Mar-13 Jul-13 Nov-13 Mar-14 Jul-14 Nov-14 Mar-15 Jul-15 Nov-15 Mar-16 Jul-16 Nov-16 Mar-17 Jul-17 Nov-17 Mar-18 Thousands March 2018: +103K
  • 13. National Nonfarm Employment byIndustry Sector,March2017v.March2018 Source:U.S.BureauofLaborStatistics -49 12 62 88 136 228 232 295 312 443 502 -100 0 100 200 300 400 500 Information Government Mining and Logging Other Services Financial Activities Construction Manufacturing Trade, Transportation, and Utilities Leisure and Hospitality Education and Health Services Professional and Business Services Thousands, SA All told 2,261K jobs gained
  • 14. U.S. Labor ForceParticipation: Men Ages 25-34 2000–2018 Source:U.S.BureauofLaborStatistics,CurrentPopulationSurvey 88% 89% 90% 91% 92% 93% 94% 2000Q1 2000Q3 2001Q1 2001Q3 2002Q1 2002Q3 2003Q1 2003Q3 2004Q1 2004Q3 2005Q1 2005Q3 2006Q1 2006Q3 2007Q1 2007Q3 2008Q1 2008Q3 2009Q1 2009Q3 2010Q1 2010Q3 2011Q1 2011Q3 2012Q1 2012Q3 2013Q1 2013Q3 2014Q1 2014Q3 2015Q1 2015Q3 2016Q1 2016Q3 2017Q1 2017Q3 2018Q1 89.1%
  • 15. Baltimore-Columbia-Towson MSA Nonfarm Employment byIndustrySectorGroups(NSA) March2017v.March2018AbsoluteChange Source:U.S.BureauofLaborStatistics -600 -400 -300 -100 100 1,600 2,400 2,900 5,800 9,900 -2,000 2,000 6,000 10,000 Other Services Information Manufacturing Financial Activities Leisure and Hospitality Government Mining, Logging, and Construction Trade, Transportation, and Utilities Professional and Business Services Education and Health Services Baltimore MSA Total: +21.3K; +1.5% MD Total (SA): +10.8K; +0.4% US Total (SA): +2,261K; +1.5%
  • 16. -500 -400 -300 -200 200 300 600 800 2,000 2,400 -1,000 -500 0 500 1,000 1,500 2,000 2,500 3,000 Information Professional and Business Services Government Other Services Financial Activities Manufacturing Leisure and Hospitality Trade, Transportation, and Utilities Education and Health Services Mining, Logging, and Construction Silver Spring-Frederick-Rockville, MD Metro Division Nonfarm Employment byIndustrySectorGroups(SA) March2017v.March2018AbsoluteChange Source: U.S. Bureau of Labor Statistics SS-F-R MSA Total: +4.9K; +0.8% MD Total (SA): +10.8K; +0.4% US Total (SA): +2,261K; +1.5%
  • 17. -500 -400 -300 -200 200 300 600 800 2,000 2,400 -1,000 -500 0 500 1,000 1,500 2,000 2,500 3,000 Information Professional and Business Services Government Other Services Financial Activities Manufacturing Leisure and Hospitality Trade, Transportation, and Utilities Education and Health Services Mining, Logging, and Construction Silver Spring-Frederick-Rockville, MD Metro Division Nonfarm Employment byIndustrySectorGroups(SA) March2017v.March2018AbsoluteChange Source: U.S. Bureau of Labor Statistics SS-F-R MSA Total: +4.9K; +0.8% MD Total (SA): +10.8K; +0.4% US Total (SA): +2,261K; +1.5%
  • 18. -3,400 -3,200 -200 -200 -100 100 100 500 800 1,200 -4,000 -3,000 -2,000 -1,000 0 1,000 2,000 Government Leisure and Hospitality Manufacturing Information Mining, Logging, and Construction Financial Activities Other Services Trade, Transportation, and Utilities Professional and Business Services Education and Health Services Calvert-Charles-Prince George’s Nonfarm Employment byIndustrySectorGroups(SA) March2017v.March2018AbsoluteChange Source: U.S. Bureau of Labor Statistics C-Ch-P Total: -4.4K; -1.1% MD Total (SA): +10.8K; +0.4% US Total (SA): +2,261K; +1.5%
  • 19. -500 -400 -200 0 0 100 100 200 300 900 -600 -400 -200 0 200 400 600 800 1,000 Financial Activities Information Government Professional and Business Services Other Services Education and Health Services Leisure and Hospitality Mining, Logging, and Construction Manufacturing Trade, Transportation, and Utilities Hagerstown-Martinsburg MSA Nonfarm Employment byIndustrySectorGroups(SA) March2017v.March2018AbsoluteChange Source: U.S. Bureau of Labor Statistics Hagerstown MSA Total: +0.5K; +0.5% MD Total (SA): +10.8K; +0.4% US Total (SA): +2,261K; +1.5%
  • 20. Salisbury City EmploymentGrowth(NSA) February2010–February2018 Source: U.S. Bureau of Labor Statistics -1,700 -1,200 -700 -200 300 Feb-10 Apr-10 Jun-10 Aug-10 Oct-10 Dec-10 Feb-11 Apr-11 Jun-11 Aug-11 Oct-11 Dec-11 Feb-12 Apr-12 Jun-12 Aug-12 Oct-12 Dec-12 Feb-13 Apr-13 Jun-13 Aug-13 Oct-13 Dec-13 Feb-14 Apr-14 Jun-14 Aug-14 Oct-14 Dec-14 Feb-15 Apr-15 Jun-15 Aug-15 Oct-15 Dec-15 Feb-16 Apr-16 Jun-16 Aug-16 Oct-16 Dec-16 Feb-17 Apr-17 Jun-17 Aug-17 Oct-17 Dec-17 Feb-18 12-MonthNetChange February 2017 v. February 2018: +171 jobs (+1.2%)
  • 21. Maryland Nonfarm Employment byIndustrySectorGroups(SA) March2017v.March2018AbsoluteChange Source:U.S.BureauofLaborStatistics -5,100 -2,200 -1,700 -1,600 -1,100 1,400 2,100 2,400 3,800 12,800 -7,000 -2,000 3,000 8,000 13,000 Leisure and Hospitality Financial Activities Government Information Other Services Manufacturing Mining, Logging, and Construction Professional and Business Services Trade, Transportation, and Utilities Education and Health Services MD Total: +10.8K; +0.4% US Total (SA): +2,261K; +1.5% *Accordingto the Local AreaUnemploymentStatistics (LAUS) series MD added 11,460jobs between March2017and March 2018.
  • 22. RANK STATE % RANK STATE % RANK STATE % 1 IDAHO 3.3 18 MICHIGAN 1.4 35 IOWA 0.7 1 UTAH 3.3 18 PENNSYLVANIA 1.4 35 MINNESOTA 0.7 3 NEVADA 2.9 20 HAWAII 1.3 35 WEST VIRGINIA 0.7 4 WASHINGTON 2.8 20 MISSISSIPPI 1.3 38 ILLINOIS 0.6 5 COLORADO 2.4 20 NEW HAMPSHIRE 1.3 38 LOUISIANA 0.6 5 TEXAS 2.4 20 RHODE ISLAND 1.3 38 MONTANA 0.6 7 ARIZONA 2.3 24 MASSACHUSETTS 1.2 38 NEBRASKA 0.6 8 OREGON 2.2 24 NEW MEXICO 1.2 42 CONNECTICUT 0.5 9 FLORIDA 2.0 24 NEW YORK 1.2 42 DELAWARE 0.5 10 CALIFORNIA 1.9 24 WYOMING 1.2 42 DISTRICT OF COLUMBIA 0.5 11 NORTH CAROLINA 1.7 28 ALABAMA 1.0 42 MAINE 0.5 11 OKLAHOMA 1.7 28 MISSOURI 1.0 46 MARYLAND 0.4 11 SOUTH CAROLINA 1.7 28 OHIO 1.0 46 ARKANSAS 0.4 14 NEW JERSEY 1.6 28 VIRGINIA 1.0 48 KENTUCKY 0.2 14 TENNESSEE 1.6 28 WISCONSIN 1.0 48 VERMONT 0.2 16 GEORGIA 1.5 33 INDIANA 0.9 50 ALASKA -0.2 16 SOUTH DAKOTA 1.5 34 KANSAS 0.8 51 NORTH DAKOTA -1.3 Employment Growth, U.S. States (SA) March2017v.March2018PercentChange Source:U.S.BureauofLaborStatistics U.S.Year-over-yearPercentChange:+1.5%
  • 23. Rank MSA % Rank MSA % 1 Orlando-Kissimmee-Sanford, FL MSA 3.5 14 Baltimore-Columbia-Towson, MD MSA 1.5 2 Phoenix-Mesa-Scottsdale, AZ MSA 3.2 14 San Francisco-Oakland-Hayward, CA MSA 1.5 2 Riverside-San Bernardino-Ontario, CA MSA 3.2 16 Los Angeles-Long Beach-Anaheim, CA MSA 1.4 4 Charlotte-Concord-Gastonia, NC-SC MSA 3.0 17 New York-Newark-Jersey City, NY-NJ-PA MSA 1.3 4 Seattle-Tacoma-Bellevue, WA MSA 3.0 18 Washington-Arlington-Alexandria, DC-VA-MD-WV MSA 1.2 6 Dallas-Fort Worth-Arlington, TX MSA 2.8 7 Denver-Aurora-Lakewood, CO MSA 2.5 18 Detroit-Warren-Dearborn, MI MSA 1.2 8 Tampa-St. Petersburg-Clearwater, FL MSA 2.2 18 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA 1.2 9 Houston-The Woodlands-Sugar Land, TX MSA 2.1 21 Miami-Fort Lauderdale-West Palm Beach, FL MSA 1.1 10 San Diego-Carlsbad, CA MSA 1.9 22 Boston-Cambridge-Nashua, MA-NH Metro NECTA 0.9 11 San Antonio-New Braunfels, TX MSA 1.8 22 St. Louis, MO-IL MSA 0.9 12 Atlanta-Sandy Springs-Roswell, GA MSA 1.7 24 Minneapolis-St. Paul-Bloomington, MN-WI MSA 0.8 12 Portland-Vancouver-Hillsboro, OR-WA MSA 1.7 25 Chicago-Naperville-Elgin, IL-IN-WI MSA 0.5 Employment Growth, 25 Largest Metros(NSA) March2017v.March2018PercentChange Source:U.S.BureauofLaborStatistics,CurrentEmploymentStatistics(CES)Survey
  • 24. Unemployment Rates, 25 Largest Metros(NSA) February2018 Source:U.S.BureauofLaborStatistics,CurrentEmploymentStatistics(CES)Survey 1.AreaboundariesdonotreflectofficialOMBdefinitions. U.S.UnemploymentRate:4.1% Rank MSA UR Rank MSA UR 1 San Francisco-Oakland-Hayward, CA MSA 2.9 14 Los Angeles-Long Beach-Anaheim, CA MSA 4.2 2 Denver-Aurora-Lakewood, CO MSA 3.1 15 Atlanta-Sandy Springs-Roswell, GA MSA 4.3 3 Minneapolis-St. Paul-Bloomington, MN-WI MSA 3.3 15 Charlotte-Concord-Gastonia, NC-SC MSA 4.3 4 Orlando-Kissimmee-Sanford, FL MSA 3.4 15 Seattle-Tacoma-Bellevue, WA MSA 4.3 4 San Antonio-New Braunfels, TX MSA 3.4 18 Phoenix-Mesa-Scottsdale, AZ MSA 4.4 6 Boston-Cambridge-Nashua, MA-NH Metro NECTA 3.5 18 Riverside-San Bernardino-Ontario, CA MSA 4.4 6 San Diego-Carlsbad, CA MSA 3.5 20 Baltimore-Columbia-Towson, MD MSA 4.6 8 Washington-Arlington-Alexandria, DC-VA- MD-WV MSA 3.6 20 Detroit-Warren-Dearborn, MI MSA 4.6 8 Tampa-St. Petersburg-Clearwater, FL MSA 3.6 20 New York-Newark-Jersey City, NY-NJ-PA MSA 4.6 10 Dallas-Fort Worth-Arlington, TX MSA 3.7 23 Houston-The Woodlands-Sugar Land, TX MSA 4.7 11 St. Louis, MO-IL MSA (1) 3.8 24 Philadelphia-Camden-Wilmington, PA-NJ-DE- MD MSA 4.9 12 Portland-Vancouver-Hillsboro, OR-WA MSA 4.0 13 Miami-Fort Lauderdale-West Palm Beach, FL MSA 4.1 25 Chicago-Naperville-Elgin, IL-IN-WI MSA 5.2
  • 25. Source:U.S.BureauofLaborStatistics Rank Jurisdiction % Rank Jurisdiction % 1 Howard County 3.4 13 Talbot County 4.9 2 Montgomery County 3.5 14 Caroline County 5.0 3 Anne Arundel County 3.8 15 Cecil County 5.3 4 Carroll County 3.9 15 Washington County 5.3 5 Calvert County 4.0 17 Kent County 6.1 6 Frederick County 4.1 18 Baltimore City 6.4 6 Queen Anne's County 4.1 19 Garrett County 6.5 8 Charles County 4.3 20 Dorchester County 6.6 8 Harford County 4.3 21 Allegany County 6.7 10 St. Mary's County 4.4 22 Wicomico County 7.0 11 Prince George's County 4.5 23 Somerset County 8.6 12 Baltimore County 4.6 24 Worcester County 12.1 Maryland Unemployment Rates by County February2018
  • 26. MarylandJurisdictions:Population Change April2010-July2017 Source: Maryland Departmentof Planning Source: Maryland Department of Planning Maryland: +4.6% Jurisdiction % Chg. Jurisdiction % Chg. Howard 11.3% Washington 1.9% Charles 8.6% Cecil 1.6% Montgomery 8.5% Caroline 0.4% Frederick 7.6% Worcester 0.4% St.Mary's 6.6% Carroll 0.3% Anne Arundel 6.3% BaltimoreCity -1.5% PrinceGeorge's 5.5% Dorchester -1.6% QueenAnne's 4.1% Somerset -2.1% Wicomico 4.0% Talbot -2.1% Baltimore 3.2% Garrett -3.0% Calvert 2.8% Kent -4.1% Harford 2.8% Allegany -4.5%
  • 27. Fastest/Slowest Growing MD Municipalities Population GrowthApril2010 –July2016 Source: Maryland Department of Planning; U.S. Census Bureau TOP 20 BOTTOM 20 RANK CITY/PLACE COUNTY % RANK CITY/PLACE COUNTY % 1 Leonardtown town St. Mary's 27.25% 138 Preston town Caroline -2.75% 2 Gaithersburg city Montgomery 13.14% 139 Chestertown town Kent -2.76% 3 Centreville town Queen Anne's 10.01% 140 Accident town Garrett -2.77% 4 Rockville city Montgomery 9.29% 141 Luke town Allegany -3.08% 5 Princess Anne town Somerset 8.88% 142 Loch Lynn Heights town Garrett -3.08% 6 Salisbury city Wicomico 8.55% 143 Queen Anne town Queen Anne's/Talbot -3.15% 7 Emmitsburg town Frederick 8.23% 144 Crisfield city Somerset -3.38% 8 Fruitland city Wicomico 8.10% 145 Frostburg city Allegany -3.39% 9 Frederick city Frederick 7.31% 146 Friendsville town Garrett -3.46% 10 Poolesville town Montgomery 6.92% 147 Kitzmiller town Garrett -3.74% 11 Washington Grove town Montgomery 6.62% 148 Deer Park town Garrett -3.80% 12 North Chevy Chase village Montgomery 6.53% 149 Cumberland city Allegany -4.09% 13 Somerset town Montgomery 6.42% 150 Betterton town Kent -4.14% 14 Chevy Chase View town Montgomery 6.36% 151 Lonaconing town Allegany -4.55% 15 Kensington town Montgomery 6.25% 152 Westernport town Allegany -4.87% 16 Takoma Park city Montgomery 6.24% 153 Barton town Allegany -5.07% 17 Highland Beach town Anne Arundel 6.19% 154 Millington town Kent -5.11% 18 College Park city Prince George's 6.12% 155 Oxford town Talbot -5.22% 19 Garrett Park town Montgomery 5.98% 156 Midland town Allegany -5.56% 20 Myersville town Frederick 5.97% 157 Trappe town Talbot -5.76%
  • 29. 15-Year & 30-Year Fixed Mortgage Rates April1995throughApril2018* Source:FreddieMac *Week ending 4/26/2018 4.02% 4.58% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% Apr-95 Oct-95 Apr-96 Oct-96 Apr-97 Oct-97 Apr-98 Oct-98 Apr-99 Oct-99 Apr-00 Oct-00 Apr-01 Oct-01 Apr-02 Oct-02 Apr-03 Oct-03 Apr-04 Oct-04 Apr-05 Oct-05 Apr-06 Oct-06 Apr-07 Oct-07 Apr-08 Oct-08 Apr-09 Oct-09 Apr-10 Oct-10 Apr-11 Oct-11 Apr-12 Oct-12 Apr-13 Oct-13 Apr-14 Oct-14 Apr-15 Oct-15 Apr-16 Oct-16 Apr-17 Oct-17 Apr-18 Rate 15-yr 30-yr
  • 30. U.S. Households: Owner v. Renter Occupied, 1965-2017 Source:U.S.CensusBureau;PewResearchCenter 36.2 75.4 76.2 21.3 34.2 43.1 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 # of Household Heads (Millions) Homeowners Renters • From 2006-2017 the number of households headed by owners remained relatively flat. • At the same time, the number of households renting their home increased significantly (+26%). • The share of renter households also increased—from 31.2% of households in 2006 to 36.1% in 2017.
  • 33. S&P/Case-Shiller Home Price Indices for Select Metros February2018,12-MonthPercentageChange Source:Standard&Poor’s 0% 2% 4% 6% 8% 10% 12% 2.4% 2.6% 4.6% 5.7% 6.0% 6.4% 6.5% 6.8% 8.3% 8.4% 8.4% 10.1% 11.7% 12-Month%Change
  • 34. U.S. Single-Family Housing Starts March1999throughMarch2018 Source:U.S.CensusBureau 0 200 400 600 800 1,000 1,200 1,400 1,600 1,800 2,000 Mar-99 Sep-99 Mar-00 Sep-00 Mar-01 Sep-01 Mar-02 Sep-02 Mar-03 Sep-03 Mar-04 Sep-04 Mar-05 Sep-05 Mar-06 Sep-06 Mar-07 Sep-07 Mar-08 Sep-08 Mar-09 Sep-09 Mar-10 Sep-10 Mar-11 Sep-11 Mar-12 Sep-12 Mar-13 Sep-13 Mar-14 Sep-14 Mar-15 Sep-15 Mar-16 Sep-16 Mar-17 Sep-17 Mar-18 Thousands,SAAR March 2018: 867K
  • 36. GrossDomestic Product 1990Q1through2018Q1* Source:U.S.BureauofEconomicAnalysis *1st (Advance)Estimate -10% -8% -6% -4% -2% 0% 2% 4% 6% 8% 1990Q1 1991Q1 1992Q1 1993Q1 1994Q1 1995Q1 1996Q1 1997Q1 1998Q1 1999Q1 2000Q1 2001Q1 2002Q1 2003Q1 2004Q1 2005Q1 2006Q1 2007Q1 2008Q1 2009Q1 2010Q1 2011Q1 2012Q1 2013Q1 2014Q1 2015Q1 2016Q1 2017Q1 2018Q1 %ChangefromPrecedingPeriod(SAAR) 2018Q1: +2.3%
  • 37. Conference Board Leading Economic Indicators Index August2007 throughMarch2018 Source:ConferenceBoard -1.5% -1.0% -0.5% 0.0% 0.5% 1.0% 1.5% Aug-07 Nov-07 Feb-08 May-08 Aug-08 Nov-08 Feb-09 May-09 Aug-09 Nov-09 Feb-10 May-10 Aug-10 Nov-10 Feb-11 May-11 Aug-11 Nov-11 Feb-12 May-12 Aug-12 Nov-12 Feb-13 May-13 Aug-13 Nov-13 Feb-14 May-14 Aug-14 Nov-14 Feb-15 May-15 Aug-15 Nov-15 Feb-16 May-16 Aug-16 Nov-16 Feb-17 May-17 Aug-17 Nov-17 Feb-18 One-monthPercentChange March 2018: 109.0 where 2016: 100
  • 38. U.S. Saving Rate, February2005 – February 2018 (SavingsasPercentageofPersonalDisposable Income) Source:U.S.BureauofEconomicAnalysis 0.0 2.0 4.0 6.0 8.0 10.0 12.0 Feb-05 Jun-05 Oct-05 Feb-06 Jun-06 Oct-06 Feb-07 Jun-07 Oct-07 Feb-08 Jun-08 Oct-08 Feb-09 Jun-09 Oct-09 Feb-10 Jun-10 Oct-10 Feb-11 Jun-11 Oct-11 Feb-12 Jun-12 Oct-12 Feb-13 Jun-13 Oct-13 Feb-14 Jun-14 Oct-14 Feb-15 Jun-15 Oct-15 Feb-16 Jun-16 Oct-16 Feb-17 Jun-17 Oct-17 Feb-18 SavingsRate(%) February 2018: 3.4%
  • 39. Global Debt Reaches AllTime Highs (IIF) Sources:1.InstituteofInternationalFinance(IFF),GlobalDebtMonitor.2.BusinessInsider.3.TheTelegraph.4.Reuters. • According to the International Institute of Finance (IIF), global debt has reached an all-time high in 2016; • At $215 trillion, global debt—including household, government, and corporate—now represents 325% of global GDP; • Last year the IMF warned of risks to the global economy: • “sheer size of debt could set the stage for an unprecedented private deleveraging process that could thwart the fragile economic recovery”
  • 41. Shattered!--- BitcoinPrice, 2014-2018 Source:CoinMarketCap.com $0 $4,000 $8,000 $12,000 $16,000 $20,000 4/1/14 6/1/14 8/1/14 10/1/14 12/1/14 2/1/15 4/1/15 6/1/15 8/1/15 10/1/15 12/1/15 2/1/16 4/1/16 6/1/16 8/1/16 10/1/16 12/1/16 2/1/17 4/1/17 6/1/17 8/1/17 10/1/17 12/1/17 2/1/18 4/1/18 4/23/2018: $8.9K
  • 42. Time is on My Side, at least in the Near-Term • U.S. setting up for best year since ’05. . .; • Global economy also picking up momentum, in large measure due to policymaking; • Job opportunities are abundant; • Corporate profitability elevated; • Consumer and business confidence has been surging. . .; • And now tax cuts, including major reductions in corporate taxes . . . What could go wrong?; • A lot can go wrong – that’s always true – first there are the Black Swan threats: • “I’m forever blowing bubbles, pretty bubbles in the air, they fly so high, nearly reach the sky, and like my dreams, they fade and die”; • Where are all the pretty bubbles? Equity markets? U.S. bond market? Commercial real estate? Bitcoin? • 2018 will be fine – better than fine – 2019 might be, too, but beyond that, potential deleveraging cycle prompted by a repricing of assets – Bad!!!!
  • 43. Thank You Please followme onTwitter--@sageanirban Please lookfor updatesof informationatwww.sagepolicy.com. Please contactus whenyourequire economic research& policyanalysis.

Editor's Notes

  1. https://www.ipsos.com/en-us/news-and-polls/news Most Recent Release: https://www.ipsos.com/en-us/global-consumer-confidence-index-continues-to-rise
  2. https://data.oecd.org/leadind/business-confidence-index-bci.htm
  3. https://www.cfr.org/global/global-monetary-policy-tracker/p37726 *Use pdf version of image for best quality
  4. https://www.conference-board.org/
  5. http://www.nfib-sbet.org/indicators/ https://tradingeconomics.com/united-states/nfib-business-optimism-index
  6. https://www.bls.gov/jlt/ JTS00000000JOL
  7. WHY DOES IT SAY “BLS” IN THE TITLE? NECESSARY? US Total Nonfarm (SA): CES0000000001 U.S. Unemployment Rate LNS14000000
  8. Series ID are in excel linked to chart US Total Nonfarm (SA): CES0000000001
  9. Series ID are in excel linked to chart US Total Nonfarm (SA): CES0000000001
  10. Series ID are in excel linked to chart US Total Nonfarm (SA): CES0000000001
  11. Series ID are in excel linked to chart US Total Nonfarm (SA): CES0000000001
  12. Series ID are in excel linked to chart US Total Nonfarm (SA): CES0000000001
  13. NOTE: Could we spruce up the table/change the table colors? US Total Nonfarm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
  14. NOTE: Could we spruce up the table/change the table colors?
  15. NOTE: Could we spruce up the table/change the table colors? Please make sure all unemployment rates have the same number of decimals (ex. 8.0 rather than just 8) http://www.bls.gov/lau/ Tables: Unemployment Rates for Large Metropolitan Areas
  16. http://planning.maryland.gov/MSDC/Pages/pop_estimate/popest_cnty.aspx
  17. http://planning.maryland.gov/MSDC/Pages/pop_estimate/popest_muni.aspx
  18. Weekly: http://www.freddiemac.com/pmms/archive.html Monthly 30 yr: http://www.freddiemac.com/pmms/pmms30.htm Monthly 15 yr: http://www.freddiemac.com/pmms/pmms15.htm
  19. https://www.census.gov/housing/hvs/data/histtabs.html Table 7. Annual Estimates of the Total Housing Inventory for the United States: 1965 to Present Significant Growth in the Number and Share of Households Renting their Home Since 2006: http://www.pewresearch.org/fact-tank/2017/07/19/more-u-s-households-are-renting-than-at-any-point-in-50-years/
  20. http://www.census.gov/housing/hvs/ Historical Tables: Table 14 (NSA); Table 14a (SA) http://www.census.gov/econ/currentdata/dbsearch?program=HV&startYear=1956&endYear=2015&categories=RATE&dataType=RVR&geoLevel=US&adjusted=0&notAdjusted=1&errorData=
  21. https://www.census.gov/construction/c30/c30index.html
  22. Want to bold/distinguish D.C. column for MD presentation? http://www.spindices.com/index-family/real-estate/sp-case-shiller The S&P/Case-Shiller Home Price Indices are calculated monthly using a three-month moving average. Index levels are published with a two-month lag and are released at 9 am EST on the last Tuesday of every month. Index performance is based on non-seasonally adjusted data.
  23. http://www.census.gov/construction/nrc/ 8:30A Historical data, Started Beginning with the release of the January 2015 data on February 18, 2015, the building permit data will reflect a small increase in the universe of permit-issuing places and will be labeled as the 2014 Universe. These changes will have no effect on the estimates of new housing starts and completions because the increase in the permit universe is offset by a decrease in the universe of areas where permits are not required. Building permit data for 2014 for both universes will be shown in Table 1. New Privately-Owned Housing Units Authorized in Permit-Issuing Places of the January 2015 press release.
  24. https://www.conference-board.org/data/bcicountry.cfm?cid=1 *MUST START AT AUGUST 2007 **August 2007-May 2017 % changes are based on data released when the base was 2010=100. June 2017-Present % changes are based on data released when the base was 2016=100. NOTE (CHANGE TO BASE YEAR): ”This month’s release incorporates annual benchmark revisions to the composite economic indexes, which bring them up-to-date with revisions in the source data. Also, with this benchmark revision, the base year of the composite indexes was changed to 2016 = 100 from 2010 = 100. These revisions do not change the cyclical properties of the indexes. The indexes are updated throughout the year, but only for the previous six months. Data revisions that fall outside of the moving six-month window are not incorporated until the benchmark revision is made and the entire histories of the indexes are recomputed. As a result, the revised indexes, in levels and month-on-month changes, will not be directly comparable to those issued prior to the benchmark revision. For more information, please visit our website at http://www.conference-board.org/data/bci.cfm or contact us at indicators@conference-board.org.”
  25. Table 2.6. Personal Income and Its Disposition, Monthly Line 35
  26. More Recent: http://www.businessinsider.com/global-debt-his-record-233-trillion-debt-to-gdp-falling-2018-1 Global debt reached a record $233 trillion in 2017Q3. However the global ratio of debt to GDP has declined for four straight quarters and now sits at 318%, roughly 3 percentage points lower than the record high reached in 2016Q3. IIF Global Debt Monitor: https://www.iif.com/publications/global-debt-monitor Business Insider article: http://www.businessinsider.com/global-debt-staggering-trillions-2017-4 Telegraph article: http://www.telegraph.co.uk/business/2017/04/04/global-debt-explodes-eye-watering-pace-hit-170-trillion/ Reuters article: http://www.reuters.com/article/us-global-debt-iif-idUSKBN14O1PQ
  27. http://www.econ.yale.edu/~shiller/data.htm --U.S. Stock Markets 1871-Present and CAPE Ratio
  28. https://coinmarketcap.com/currencies/bitcoin/historical-data/