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October 10, 2017 13:19 GMT
US Data: NY Federal Reserve Consumer Expectations Survey>
Data For: September 2017
Source: NY Federal Reserve Consumer Expectation Survey
Units are either median percent change or median probability
Pct Change Pct Change 1-Yr Pct Chg 1-Yr Pct Chg
1-yr infl 3-yr infl Gas Food
Feb17 2.96 2.98 4.38 4.44
Mar17 2.74 2.71 4.33 4.37
Apr17 2.79 2.91 4.55 4.47
May17 2.59 2.47 4.35 4.47
Jun17 2.54 2.78 3.77 4.37
Jul17 2.54 2.71 2.95 4.32
Aug17 2.49 2.62 4.06 4.60
Sep17 2.54 2.80 4.66 4.58
1-Yr Pct Chg 1-Yr Pct Chg 1-Yr Pct Chg 1-Yr Pct Chg
Medical College Rent Gold
Feb17 9.11 7.39 5.57 3.11
Mar17 9.17 7.05 5.49 3.71
Apr17 9.05 7.05 5.60 3.83
May17 9.44 7.28 5.51 3.47
Jun17 9.44 7.32 5.51 2.88
Jul17 9.39 6.02 5.35 2.26
Aug17 9.46 6.69 5.23 3.06
Sep17 9.26 5.86 5.43 2.85
1-yr Household 1-yr Household 1-yr Growth
Pct Growth In Pct Growth In Income Growth Spending Growth In Taxes
Home Prices Earnings Pct Change Pct Change Pct Change
Feb17 3.05 2.00 2.80 3.19 2.11
Mar17 3.33 2.44 2.52 3.29 2.23
Apr17 3.36 2.54 2.76 2.58 2.21
May17 3.48 2.21 2.74 2.56 2.17
Jun17 3.45 2.54 2.74 3.27 2.31
Jul17 3.20 2.59 2.96 2.82 2.37
Aug17 3.30 2.54 2.73 3.02 2.57
Sep17 3.02 2.25 2.20 2.69 2.17
Probability Of Probability Of
Higher Unemp Higher Stock 1-yr Govt
Rates 1-yr Prices 1-yr Debt Growth
From Now From Now Pct Change
Feb17 35.75 43.86 4.90
Mar17 35.54 45.44 5.18
Apr17 36.48 43.75 5.31
May17 37.46 44.04 5.41
Jun17 36.26 43.59 4.94
Jul17 35.97 41.65 4.93
Aug17 35.38 43.08 5.17
Sep17 35.74 41.98 5.66
Probability Of The Following Occurring
Job Voluntary Job Finding Change In Home
Separation Separation In 3 Months Next 12 Mos
Feb17 14.97 21.51 55.98 19.43
Mar17 14.47 21.26 59.29 19.18
Apr17 13.24 19.93 56.53 18.78
May17 13.64 19.44 56.69 19.36
Jun17 13.47 20.78 59.21 19.11
Jul17 13.67 21.72 57.12 18.42
Aug17 13.78 21.69 58.32 18.83
Sep17 13.79 20.61 59.20 18.56
Probability Of Probability Of
Unable To Make Higher Savings
Minimum Payment Acct Interest Rates
Next 3 Mos 1-yr From Now
Feb17 12.07 38.08
Mar17 11.19 41.80
Apr17 12.15 39.17
May17 13.10 37.22
Jun17 12.03 36.83
Jul17 12.17 34.03
Aug17 12.85 34.39
Sep17 13.39 33.82
Credit Availability Compared With Year Ago
Much Somewhat Equally Somewhat Much
Harder Harder Easy/Hard Easier Easier
Feb17 4.27 25.31 51.77 16.30 2.34
Mar17 5.33 25.21 48.29 18.59 2.58
Apr17 5.86 25.76 46.67 18.74 2.96
May17 5.81 23.93 48.48 19.20 2.59
Jun17 5.80 25.85 45.53 19.97 2.86
Jul17 4.67 24.96 44.71 22.86 2.80
Aug17 4.88 25.49 44.59 21.51 3.53
Sep17 5.90 24.74 46.80 19.99 2.56
Credit Availability Seen Year From Now
Much Somewhat Equally Somewhat Much
Harder Harder Easy/Hard Easier Easier
Feb17 5.80 26.33 46.87 18.26 2.74
Mar17 5.82 27.50 44.73 18.60 3.35
Apr17 5.30 24.97 47.74 18.66 3.33
May17 6.32 24.96 48.58 17.56 2.59
Jun17 4.84 25.14 48.21 18.48 3.31
Jul17 5.06 24.71 46.72 21.36 2.15
Aug17 4.55 26.18 46.56 19.77 2.94
Sep17 5.89 24.02 49.60 18.19 2.30
Household Finances Compared With Year Ago
Much Somewhat About Somewhat Much
Worse Off Worse Off The Same Better Off Better Off
Feb17 2.80 13.13 52.89 26.97 4.21
Mar17 1.82 12.43 53.52 28.05 4.18
Apr17 1.90 13.74 51.79 27.58 5.00
May17 2.07 15.94 49.57 27.51 4.91
Jun17 1.94 14.96 48.33 30.61 4.16
Jul17 1.43 15.19 48.67 29.72 4.99
Aug17 2.04 15.92 49.39 26.53 6.11
Sep17 2.28 17.51 47.95 27.93 4.33
Household Finances Seen Year From Now
Much Somewhat About Somewhat Much
Worse Off Worse Off The Same Better Off Better Off
Feb17 1.87 11.41 46.66 34.41 5.64
Mar17 1.21 11.19 44.50 36.74 6.36
Apr17 1.20 9.87 44.49 36.18 8.25
May17 0.66 12.35 45.94 34.14 6.91
Jun17 1.25 11.99 43.09 37.10 6.56
Jul17 1.05 11.28 46.25 35.76 5.67
Aug17 1.07 10.94 45.73 35.49 6.78
Sep17 1.10 11.68 46.93 33.89 6.40
[TOPICS: MAUDA$,MTABLE]
To read the full story
Close
Our Head Office is in London with offices in Chicago, Washington and Beijing, as well as an on the ground presence in other major financial centres across the world.
Sign up now for free trial access to this content.
Please enter your details below.
Why MNI
MNI is the leading provider
of intelligence and analysis on the Global Fixed Income, Foreign Exchange and Energy markets. We use an innovative combination of real-time analysis, deep fundamental research and journalism to provide unique and actionable insights for traders and investors. Our "All signal, no noise" approach drives an intelligence service that is succinct and timely, which is highly regarded by our time constrained client base.Our Head Office is in London with offices in Chicago, Washington and Beijing, as well as an on the ground presence in other major financial centres across the world.
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