Top variables that correlate with Popularity of the first name Dillion

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Data source: US Social Security Administration
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Popularity of the first name Dillion correlates with...

Variable	Correlation	Years	Sys. Score
The marriage rate in Nevada	r=0.99	23yrs	418
Physical album shipment volume in the United States	r=0.98	24yrs	417
Google searches for 'learn spanish'	r=0.98	19yrs	414
The marriage rate in Idaho	r=0.97	23yrs	414
The marriage rate in Tennessee	r=0.97	23yrs	414
US milk fat used to produce fluid beverage milk	r=0.95	22yrs	410
Google searches for 'black holes'	r=0.96	19yrs	410
Liquefied petroleum gas used in Greenland	r=0.96	22yrs	410
Number of edits to the Wikipedia article for Thanksgiving	r=0.92	16yrs	394
The number of typists in Iowa	r=0.98	20yrs	393
US household spending on books	r=0.96	23yrs	393
The number of brickmasons in Alabama	r=0.98	20yrs	393
The number of typists in Florida	r=0.98	20yrs	393
AIG's stock price (AIG)	r=0.9	21yrs	392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Carjackings in the US	r=0.92	27yrs	388
Gasoline pumped in Germany	r=0.92	32yrs	384
Jet fuel used in Ukraine	r=0.93	30yrs	384
The divorce rate in Alabama	r=0.96	23yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
GMO use in corn grown in South Dakota	r=0.97	23yrs	380
Google searches for 'report UFO sighting'	r=0.91	19yrs	379
Google searches for 'Panama Canal'	r=0.94	19yrs	378
Popularity of the 'all your base' meme	r=0.91	17yrs	377
GMO use in cotton in North Carolina	r=0.96	23yrs	376
xkcd comics published about romance	r=0.91	16yrs	374
The divorce rate in Tennessee	r=0.95	23yrs	373
GMO use in cotton in Alabama	r=0.96	18yrs	371
The number of file clerks in Michigan	r=0.98	20yrs	363
Arson in Idaho	r=0.91	22yrs	362
The marriage rate in Arkansas	r=0.95	23yrs	362
Citigroup's stock price (C)	r=0.89	21yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.87	21yrs	358
US household spending on clothing	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
US household spending on beef	r=0.91	23yrs	356
US household spending on floor coverings	r=0.91	23yrs	356
The number of CEOs in Ohio	r=0.97	20yrs	353
Petroluem consumption in Uzbekistan	r=0.92	30yrs	352
The marriage rate in Wyoming	r=0.95	23yrs	352
Google searches for 'panama canal'	r=0.93	19yrs	346
The number of sewing machine operators in Alabama	r=0.97	20yrs	342
Ticket sales for Arizona Diamondbacks games	r=0.87	22yrs	340
Robberies in North Carolina	r=0.86	38yrs	340
Total annual sales of Ford Motors in the United States	r=0.88	23yrs	338
Google searches for 'snoop dog'	r=0.93	19yrs	336
United States music album sales	r=0.89	16yrs	336
The number of postal service machine operators in Connecticut	r=0.97	20yrs	332
GMO use in cotton	r=0.91	23yrs	328
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.94	22yrs	326
US household spending on processed fruits	r=0.9	23yrs	324
Google searches for 'oprah winfrey'	r=0.91	19yrs	323
The number of prepress technicians and workers in Illinois	r=0.97	20yrs	322
US household spending on prescription drugs	r=0.88	23yrs	321
US household spending on transportation	r=0.86	23yrs	318
The wind speed in Los Angeles	r=0.86	22yrs	318
The number of typists in Indiana	r=0.97	20yrs	312
The marriage rate in Alabama	r=0.94	23yrs	310
Petroluem consumption in Ukraine	r=0.9	30yrs	310
The number of floral designers in Kentucky	r=0.97	20yrs	302
GMO use in corn grown in Texas	r=0.95	18yrs	302
The marriage rate in Ohio	r=0.94	23yrs	300
Petroluem consumption in Germany	r=0.87	32yrs	297
The number of typists in Maine	r=0.97	20yrs	292
The marriage rate in Virginia	r=0.94	23yrs	290
Liquefied petroleum gas used in Belarus	r=0.88	30yrs	286
The number of postal service machine operators in Massachusetts	r=0.97	20yrs	282
The divorce rate in North Carolina	r=0.93	23yrs	280
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.89	22yrs	278
Google searches for 'E.T. phone home'	r=0.87	19yrs	277
Petroluem consumption in Azerbaijan	r=0.86	30yrs	274
The number of postal service machine operators in Minnesota	r=0.97	20yrs	272
The marriage rate in Arizona	r=0.93	23yrs	268
Google searches for 'matt parker'	r=0.87	19yrs	267
US average milk-fat content of cottage cheese	r=0.88	22yrs	267
Gasoline pumped in Latvia	r=0.86	31yrs	264
The number of postal service machine operators in New York	r=0.97	20yrs	262
The marriage rate in South Carolina	r=0.93	23yrs	258
Google searches for 'desktop background'	r=0.88	16yrs	256
Customer satisfaction with Verizon	r=0.83	28yrs	255
The number of prepress technicians and workers in North Carolina	r=0.97	20yrs	252
The marriage rate in South Dakota	r=0.93	23yrs	248
Ticket sales for Baltimore Orioles games	r=0.83	41yrs	248
Geothermal power generated in Austria	r=0.88	17yrs	246
Google searches for 'shook'	r=0.85	19yrs	244
The number of cutters and trimmers, hand in North Carolina	r=0.97	20yrs	242
The marriage rate in Kentucky	r=0.92	23yrs	237
The number of typists in Ohio	r=0.97	20yrs	232
The number of switchboard operators in West Virginia	r=0.97	20yrs	222
Violent crime rates	r=0.68	38yrs	218
The number of advertising and promotions managers in Puerto Rico	r=0.97	20yrs	212
The number of compensation and benefits managers in Indiana	r=0.98	19yrs	202
The marriage rate in Wisconsin	r=0.9	23yrs	194
The divorce rate in Kentucky	r=0.89	23yrs	184
The divorce rate in Wyoming	r=0.89	23yrs	174
The divorce rate in Florida	r=0.88	23yrs	162
The divorce rate in Ohio	r=0.88	23yrs	152
Gasoline pumped in Luxembourg	r=0.84	43yrs	148
Gasoline pumped in Spain	r=0.84	43yrs	138

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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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