Top variables that correlate with Popularity of the first name Kaylan

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

Variable	Correlation	Years	Sys. Score
The divorce rate in Wyoming	r=0.96	23yrs	414
The divorce rate in Missouri	r=0.95	23yrs	413
Cigarette Smoking Rate for US adults	r=0.96	21yrs	411
Google searches for 'desktop background'	r=0.96	16yrs	408
Liquefied petroleum gas used in Kosovo	r=0.96	14yrs	402
The number of telemarketers in North Dakota	r=0.97	20yrs	393
The number of typists in Maryland	r=0.97	20yrs	392
The number of telemarketers in West Virginia	r=0.96	20yrs	392
Gasoline pumped in Denmark	r=0.9	43yrs	392
Gasoline pumped in Slovenia	r=0.95	31yrs	388
US birth rates of triplets or more	r=0.94	20yrs	384
Associates degrees awarded in Business management	r=0.97	11yrs	384
Associates degrees awarded in Business and management	r=0.97	11yrs	384
The divorce rate in Kentucky	r=0.95	23yrs	383
Associates degrees awarded in Business	r=0.96	11yrs	382
Viewership count of American Idol Season Finale	r=0.91	21yrs	378
Physical album shipment volume in the United States	r=0.91	24yrs	376
Pirate attacks globally	r=0.93	14yrs	374
Google searches for 'shook'	r=0.9	19yrs	372
United States music album sales	r=0.92	16yrs	370
Arson in Iowa	r=0.9	22yrs	360
The number of switchboard operators in Iowa	r=0.96	20yrs	360
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	358
US household spending on clothing	r=0.93	23yrs	358
US household spending on tobacco products and smoking supplies	r=0.93	23yrs	358
US household spending on clothin for women	r=0.92	23yrs	357
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.94	22yrs	356
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
US household spending on processed fruits	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
Nuclear power generation in Germany	r=0.9	31yrs	354
The divorce rate in North Carolina	r=0.95	23yrs	353
Associates degrees awarded in Accounting	r=0.95	11yrs	351
The number of typists in Mississippi	r=0.96	20yrs	350
Robberies in South Carolina	r=0.89	38yrs	345
GMO use in corn grown in Texas	r=0.95	18yrs	342
Robberies in North Carolina	r=0.87	38yrs	342
The divorce rate in Idaho	r=0.94	23yrs	342
GMO use in corn grown in North Dakota	r=0.94	18yrs	341
GMO use in corn grown in Texas	r=0.94	18yrs	341
The number of postmasters in North Dakota	r=0.96	20yrs	340
Google searches for 'oprah winfrey'	r=0.88	19yrs	338
Total views on PBS Space Time YouTube videos	r=0.97	8yrs	336
Geothermal power generated in Austria	r=0.94	17yrs	336
The divorce rate in Maine	r=0.94	23yrs	332
The number of computer programmers in Ohio	r=0.95	20yrs	330
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	22yrs	324
US household spending on prescription drugs	r=0.89	23yrs	322
The divorce rate in Mississippi	r=0.94	23yrs	322
Gasoline pumped in Kosovo	r=0.94	14yrs	320
The number of painting, coating, and decorating workers in Pennsylvania	r=0.96	20yrs	320
The divorce rate in Nevada	r=0.94	23yrs	312
The number of postmasters in Wyoming	r=0.96	20yrs	310
GMO use in corn grown in North Dakota	r=0.9	18yrs	305
Gasoline pumped in Portugal	r=0.9	43yrs	302
Burglaries in Puerto Rico	r=0.9	24yrs	302
The divorce rate in Oregon	r=0.94	23yrs	302
US production of fluid beverage milk	r=0.88	22yrs	300
The number of switchboard operators in Arizona	r=0.95	20yrs	298
GMO use in cotton in Tennessee	r=0.92	18yrs	295
The divorce rate in Alabama	r=0.93	23yrs	290
Ice cream consumption	r=0.89	32yrs	289
Arson in Idaho	r=0.89	22yrs	289
Electricity generation in U.S. Virgin Islands	r=0.86	42yrs	288
The number of postmasters in Idaho	r=0.95	20yrs	288
The divorce rate in Florida	r=0.93	23yrs	280
Kerosene used in India	r=0.88	42yrs	278
Robberies in Puerto Rico	r=0.87	24yrs	278
The number of postal service machine operators in Idaho	r=0.95	20yrs	278
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	277
GMO use in cotton	r=0.89	23yrs	276
The divorce rate in New Hampshire	r=0.93	23yrs	270
The number of postmasters in Ohio	r=0.95	20yrs	268
Fossil fuel use in U.S. Virgin Islands	r=0.85	42yrs	267
Sherbet consumption	r=0.87	32yrs	266
The divorce rate in Ohio	r=0.93	23yrs	260
The number of postmasters in Oklahoma	r=0.95	20yrs	258
Nuclear power generation in United Kingdom	r=0.85	42yrs	257
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.85	22yrs	254
The divorce rate in Tennessee	r=0.93	23yrs	250
The number of postmasters in Pennsylvania	r=0.95	20yrs	248
Gasoline pumped in Italy	r=0.86	43yrs	246
The divorce rate in Virginia	r=0.93	23yrs	240
The number of library technicians in Pennsylvania	r=0.95	20yrs	238
Gasoline pumped in Luxembourg	r=0.86	43yrs	236
The number of postmasters in Tennessee	r=0.95	20yrs	228
The marriage rate in Arkansas	r=0.93	23yrs	228
Kerosene used in South Korea	r=0.86	43yrs	226
The number of postmasters in Utah	r=0.95	20yrs	218
The divorce rate in Arkansas	r=0.92	23yrs	218
Gasoline pumped in Spain	r=0.86	43yrs	216
The number of postmasters in Washington	r=0.95	20yrs	208
The divorce rate in Illinois	r=0.92	23yrs	208
Gasoline pumped in Switzerland	r=0.86	43yrs	206
The number of human resources assistants in Wisconsin	r=0.95	20yrs	198
The divorce rate in Washington	r=0.92	23yrs	198
Petroluem consumption in Germany	r=0.89	32yrs	190
The marriage rate in Alabama	r=0.92	23yrs	187
Fossil fuel use in Slovakia	r=0.88	29yrs	178
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	157
Gasoline pumped in Montenegro	r=0.89	16yrs	144

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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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