Correlation Analysis
Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Total for United Kingdom vs Consumer Price Index for All Urban Consumers: All Items in U.S. City Average
GBRCPIALLMINMEI vs CPIAUCSL
+0.998
Very strong positive
When one moves up, the other tends to follow.
AI Analysis
The nearly perfect correlation between GBRCPIALLMINMEI and CPIAUCSL indicates that these two inflation measures move almost identically over time, suggesting that trends in one can reliably predict trends in the other. This strong alignment, combined with their synchronous movements, means that investors and economists can use either series to gauge inflationary pressures without concern for timing discrepancies. However, it's important to consider the context and potential external factors that may influence these indices differently, particularly during periods of economic volatility.
Timing Offset
in sync
GBRCPIALLMINMEI and CPIAUCSL tend to move at the same time.
Correlation at each lag offset (periods). Peak marked with dot.
Peak correlation at offset: +0.999 (13 lags scanned)
R-Squared
99.7%
Share of variance in one series explained by the other.
Trend Agreement
100.0%
How often both series moved in the same direction period-to-period.
Overlap Quality
843
Deep shared window — 843 usable pairs.
Time Series
Rebased to 100
Scatter
XY Regression
Pipeline
Data quality details
Pipeline
Data quality details
Pipeline Summary
843 paired observations survived the daily window.
Raw input
843
949
Normalized
843
949
Prepared
843
949
Aligned
843
843
Invalid removed
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
106
A: 0 / B: 106
Series A
GBRCPIALLMINMEI
Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Total for United Kingdom
FRED · 843 raw → 843 prepared
Series B
CPIAUCSL
Consumer Price Index for All Urban Consumers: All Items in U.S. City Average
FRED · 949 raw → 949 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
2.2127
Linear regression slope.
Intercept
15.5535
Linear regression intercept.
Saved 10 hours ago · ID: fred-gbrcpiallminmei-vs-fred-cpiaucsl-daily-20260406-wlehyc