Top variables that correlate with Popularity of the first name Cheryl

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

Variable	Correlation	Years	Has img?
Freezing temperatures in Austin	r=0.56	48yrs	No

Popularity of the first name Cheryl also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.96	40yrs	428
Carjackings in the US	r=0.97	27yrs	426
Average number of milk cows in the United States	r=0.92	43yrs	420
Jet fuel used in Ukraine	r=0.95	30yrs	417
Burglaries in Colorado	r=0.96	38yrs	416
The marriage rate in Arizona	r=0.96	23yrs	413
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Kentucky	r=0.95	23yrs	412
The number of payroll and timekeeping clerks in Ohio	r=0.95	20yrs	388
Burglaries in Oregon	r=0.95	38yrs	384
The number of school teachers in Wyoming	r=0.95	13yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
Physical album shipment volume in the United States	r=0.93	24yrs	380
Google searches for 'panama canal'	r=0.91	19yrs	373
Kerosene used in Portugal	r=0.94	43yrs	368
Customer satisfaction with Verizon	r=0.88	28yrs	368
Air pollution in Norwich, Connecticut	r=0.94	42yrs	362
US household spending on clothing	r=0.94	23yrs	360
Air pollution in Spokane, Washington	r=0.92	43yrs	360
The number of typists in Florida	r=0.95	20yrs	358
US household spending on clothing for men	r=0.93	23yrs	358
US household spending on books	r=0.93	23yrs	358
Remaining Forest Cover in the Brazilian Amazon	r=0.86	36yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Air pollution in Manchester, New Hampshire	r=0.9	43yrs	357
Kerosene used in Canada	r=0.92	43yrs	356
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	356
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
The marriage rate in Idaho	r=0.95	23yrs	352
Arson in New York	r=0.94	38yrs	352
Petroluem consumption in Bulgaria	r=0.92	42yrs	344
The marriage rate in Virginia	r=0.95	23yrs	342
Burglaries in Washington	r=0.94	38yrs	342
GMO use in cotton in North Carolina	r=0.92	23yrs	340
Google searches for 'report UFO sighting'	r=0.85	19yrs	340
Google searches for 'Panama Canal'	r=0.89	19yrs	340
GMO use in corn grown in North Dakota	r=0.92	18yrs	338
Kerosene used in Norway	r=0.91	43yrs	334
Robberies in Oregon	r=0.93	38yrs	331
The marriage rate in Ohio	r=0.94	23yrs	330
The number of floral designers in Indiana	r=0.95	20yrs	328
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	324
Kerosene used in U.S. Pacific Islands	r=0.91	42yrs	323
The divorce rate in Tennessee	r=0.93	23yrs	320
Burglaries in California	r=0.92	38yrs	320
The number of cooks, short order in North Carolina	r=0.95	20yrs	318
Kerosene used in Bolivia	r=0.9	42yrs	312
The marriage rate in Arkansas	r=0.93	23yrs	308
Burglaries in New York	r=0.91	38yrs	308
The number of telemarketers in California	r=0.93	20yrs	307
Kerosene used in Romania	r=0.9	42yrs	302
The marriage rate in Missouri	r=0.93	23yrs	298
US milk fat used to produce fluid beverage milk	r=0.87	22yrs	298
The number of prepress technicians and workers in Colorado	r=0.94	20yrs	297
The marriage rate in South Dakota	r=0.93	23yrs	288
The number of telemarketers in Illinois	r=0.93	20yrs	287
Petroluem consumption in Ukraine	r=0.94	30yrs	286
Burglary rates in the US	r=0.85	38yrs	279
The marriage rate in Tennessee	r=0.93	23yrs	278
The number of switchboard operators in Indiana	r=0.94	20yrs	277
Petroluem consumption in Azerbaijan	r=0.91	30yrs	271
The divorce rate in North Carolina	r=0.92	23yrs	268
The number of automotive body repairers in Kentucky	r=0.94	20yrs	267
Petroluem consumption in Belarus	r=0.91	30yrs	261
The marriage rate in Wisconsin	r=0.92	23yrs	257
The number of maintenance workers, machinery in New Jersey	r=0.94	20yrs	257
Burglaries in Texas	r=0.9	38yrs	256
The divorce rate in Alabama	r=0.91	23yrs	247
The number of telemarketers in New York	r=0.93	20yrs	247
Burglaries in Michigan	r=0.89	38yrs	245
The marriage rate in South Carolina	r=0.91	23yrs	236
The number of postal service machine operators in Colorado	r=0.93	20yrs	236
Burglaries in Oklahoma	r=0.89	38yrs	235
Gasoline pumped in Bulgaria	r=0.89	42yrs	230
The marriage rate in Wyoming	r=0.91	23yrs	226
The number of switchboard operators in Georgia	r=0.93	20yrs	226
Arson in Maine	r=0.88	38yrs	224
Petroluem consumption in Hungary	r=0.88	43yrs	220
The divorce rate in New Hampshire	r=0.9	23yrs	216
The number of bill collectors in Indiana	r=0.92	20yrs	216
Arson in Colorado	r=0.88	38yrs	214
Kerosene used in Cabo Verde	r=0.88	42yrs	208
The number of typists in Iowa	r=0.93	20yrs	206
The marriage rate in Alabama	r=0.9	23yrs	204
Burglaries in Montana	r=0.88	38yrs	204
Kerosene used in Ecuador	r=0.88	42yrs	198
The number of file clerks in Maryland	r=0.93	20yrs	196
Burglaries in Rhode Island	r=0.88	38yrs	194
Kerosene used in Uruguay	r=0.88	42yrs	188
The number of fast food cooks in Michigan	r=0.93	20yrs	186
Motor vehicle thefts in Oklahoma	r=0.88	38yrs	184
The number of prepress technicians and workers in Michigan	r=0.93	20yrs	176
Kerosene used in Hong Kong	r=0.86	42yrs	176
Robberies in Michigan	r=0.88	38yrs	174
The number of office clerks in Minnesota	r=0.93	20yrs	166
Kerosene used in United States	r=0.85	43yrs	165
The marriage rate in North Carolina	r=0.9	23yrs	164
Burglaries in Alaska	r=0.87	38yrs	162
The marriage rate in Texas	r=0.9	23yrs	154
Burglaries in Connecticut	r=0.87	38yrs	152

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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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