Top variables that correlate with Christmas Price Index in the United States

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Data source: Statista
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Christmas Price Index in the United States correlates with...

Variable	Correlation	Years	Has img?
Amazon's shipping revenue in millions of dollars	r=0.95	11yrs	No
US Shoe Store Sales	r=0.95	30yrs	Yes!
Visitors to Universal Orlando's Islands of Adventure	r=0.92	15yrs	No
The number of actuaries in Maryland	r=0.88	20yrs	No

Christmas Price Index in the United States also correlates with...

Variable	Correlation	Years	Sys. Score
Jet fuel used in Morocco	r=0.97	30yrs	420
Number of internet users	r=0.97	24yrs	418
Number of Public Library Members in the UK	r=0.99	12yrs	408
Organic Food Sales Volume in the United States	r=0.98	13yrs	403
Amazon's Annual Outbound Shipping Expenditure in Millions	r=0.97	11yrs	400
The number of restaurant cooks in Rhode Island	r=0.96	20yrs	390
Total Sales at Clothing and Accessories Stores	r=0.92	31yrs	388
Number of websites on the internet	r=0.94	27yrs	388
The number of flight attendants in Florida	r=0.96	17yrs	387
Electricity generation in Niger	r=0.92	30yrs	386
Jet fuel used in Croatia	r=0.94	30yrs	386
The price of gold	r=0.93	23yrs	383
Popularity of the first name Felix	r=0.91	31yrs	382
Popularity of the first name Weston	r=0.91	31yrs	382
Popularity of the first name Violet	r=0.91	31yrs	382
Annual US household spending on personal care products and services	r=0.94	23yrs	380
Annual US household spending on food	r=0.91	23yrs	376
London Gold Prices	r=0.94	21yrs	375
Restaurant spending in Delaware	r=0.93	24yrs	361
Restaurant spending in Hawaii	r=0.92	24yrs	360
Restaurant spending in Nevada	r=0.92	24yrs	360
The number of dental assistants in Massachusetts	r=0.95	20yrs	358
Fossil fuel use in Rwanda	r=0.91	30yrs	354
The distance between Neptune and Uranus	r=0.89	31yrs	352
Italian-type cheese consumption	r=0.87	27yrs	351
Popularity of the first name Nora	r=0.9	31yrs	350
Mozzarella cheese consumption	r=0.86	27yrs	350
Total number of automotive recalls	r=0.86	31yrs	348
Jet fuel used in Poland	r=0.92	31yrs	344
Popularity of the first name Athena	r=0.9	31yrs	340
Fossil fuel use in Maldives	r=0.9	30yrs	332
Popularity of the first name Hudson	r=0.9	31yrs	330
Restaurant spending in Florida	r=0.91	24yrs	328
The number of amusement park attendants in Texas	r=0.94	20yrs	327
Biomass power generated in Slovakia	r=0.9	29yrs	322
Popularity of the first name Valentina	r=0.9	31yrs	320
Global Apple iPhone Sales in Q3	r=0.94	12yrs	319
Restaurant spending in Louisiana	r=0.91	24yrs	318
The number of manicurists and pedicurists in California	r=0.93	20yrs	316
Gasoline pumped in Chile	r=0.91	31yrs	312
Popularity of the first name Amos	r=0.9	31yrs	310
Restaurant spending in Massachusetts	r=0.91	24yrs	308
The number of bartenders in Texas	r=0.92	20yrs	306
Gasoline pumped in Israel	r=0.91	31yrs	302
Restaurant spending in Michigan	r=0.91	24yrs	298
Total budget of Marvel comic-based films released	r=0.88	31yrs	297
The number of bartenders in North Carolina	r=0.91	20yrs	294
Jet fuel used in China	r=0.91	30yrs	291
Annual Revenue of Walt Disney Company	r=0.87	31yrs	290
Restaurant spending in Minnesota	r=0.91	24yrs	288
The number of manicurists and pedicurists in North Carolina	r=0.92	20yrs	284
Texas Rangers' American League West Division finish position	r=0.88	31yrs	284
Gasoline pumped in Egypt	r=0.91	30yrs	281
Restaurant spending in North Dakota	r=0.91	24yrs	278
Inflation in the US	r=0.87	31yrs	278
The number of restaurant cooks in Wisconsin	r=0.92	20yrs	274
Global sales revenue of elevators and escalators	r=0.96	7yrs	273
Jet fuel used in Guinea-Bissau	r=0.91	30yrs	271
Popularity of the first name Esther	r=0.9	31yrs	270
Restaurant spending in Ohio	r=0.91	24yrs	268
The number of occupational therapists in Wyoming	r=0.92	20yrs	264
Jet fuel used in Hong Kong	r=0.91	30yrs	261
Popularity of the first name Roman	r=0.9	31yrs	260
Restaurant spending in Alabama	r=0.9	24yrs	256
The number of biochemists and biophysicists in Maine	r=0.94	16yrs	253
Jet fuel used in India	r=0.91	30yrs	251
Popularity of the first name Graham	r=0.9	31yrs	250
Restaurant spending in Arkansas	r=0.9	24yrs	246
The number of restaurant cooks in Idaho	r=0.91	20yrs	242
Gasoline pumped in Morocco	r=0.91	30yrs	241
Popularity of the first name Juliette	r=0.9	31yrs	240
Restaurant spending in Kentucky	r=0.9	24yrs	236
The number of restaurant cooks in Virginia	r=0.91	20yrs	232
Petroluem consumption in Oman	r=0.91	30yrs	231
Popularity of the first name Augustus	r=0.9	31yrs	230
Restaurant spending in Maryland	r=0.9	24yrs	226
The number of bakers in Colorado	r=0.9	20yrs	221
Gasoline pumped globally	r=0.9	30yrs	220
Popularity of the first name Henry	r=0.89	31yrs	219
Restaurant spending in Mississippi	r=0.9	24yrs	216
The number of restaurant cooks in Georgia	r=0.9	20yrs	211
Gasoline pumped in Bolivia	r=0.9	30yrs	210
Popularity of the first name Amelia	r=0.89	31yrs	209
Restaurant spending in Missouri	r=0.9	24yrs	206
The number of restaurant cooks in Massachusetts	r=0.9	20yrs	201
Jet fuel used in Colombia	r=0.9	30yrs	200
Popularity of the first name Cecilia	r=0.89	31yrs	199
Restaurant spending in Montana	r=0.9	24yrs	196
The number of hotel managers in South Dakota	r=0.9	20yrs	191
Gasoline pumped in Ecuador	r=0.9	30yrs	190
Popularity of the first name Charlotte	r=0.89	31yrs	189
Restaurant spending in Tennessee	r=0.9	24yrs	186
The number of biolmedical engineers in Ohio	r=0.92	16yrs	180
Popularity of the first name Dean	r=0.89	31yrs	179
Restaurant spending in Utah	r=0.9	24yrs	176
Popularity of the first name Josephine	r=0.89	31yrs	169
Restaurant spending in Washington	r=0.9	24yrs	166
Popularity of the first name Oliver	r=0.89	31yrs	159

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^{What is Sys. Score?} You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)


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