Story Highlights
- Index has been at -13 for seven of the past nine weeks
- Current economic conditions score remains at -6
- Economic outlook score at -19
WASHINGTON, D.C. -- Gallup's U.S. Economic Confidence Index averaged -13 for the week ending Nov. 22. The index has varied little in recent months, and seven of the past nine weekly index scores have matched the current reading.
From a longer view, the index hasn't strayed much from its narrow range of -11 to -17 since July. Though the index is a good deal lower than it was earlier in the year, when it briefly registered some positive scores, recent weekly figures are still much better than they were for .
Gallup's Economic Confidence Index is the average of two components: how Americans rate current economic conditions and whether they feel the economy is getting better or getting worse.
For the week ending Nov. 22, 24% of Americans rated the current economy as "excellent" or "good," while 30% rated it as "poor." This resulted in a current conditions score of -6, similar to weekly current conditions scores found since July and in line with most of the scores so far in 2015.
The economic outlook score last week was -19, reflecting 38% of Americans saying the economy is "getting better" and 57% saying it is "getting worse." While the current outlook score is similar to scores seen in recent weeks, the economic outlook score has been significantly lower since July compared with earlier in the year. This has weighed down the overall index since the summer, even though the current conditions score has remained essentially at the same place.
These data are available in .
Survey Methods
Results for this 优蜜传媒poll are based on telephone interviews conducted Nov. 16-22, 2015, on the 优蜜传媒U.S. Daily survey, with a random sample of 3,035 adults, aged 18 and older, living in all 50 U.S. states and the District of Columbia. For results based on the total sample of national adults, the margin of sampling error is ±2 percentage points at the 95% confidence level. All reported margins of sampling error include computed design effects for weighting.
Each sample of national adults includes a minimum quota of 60% cellphone respondents and 40% landline respondents, with additional minimum quotas by time zone within region. Landline and cellular telephone numbers are selected using random-digit-dial methods.
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