Top variables that correlate with Popularity of the first name Christy

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.95	40yrs	427
Carjackings in the US	r=0.96	27yrs	424
Average number of milk cows in the United States	r=0.91	43yrs	418
Burglaries in Colorado	r=0.98	38yrs	418
Physical album shipment volume in the United States	r=0.98	24yrs	417
US birth rates of triplets or more	r=0.95	20yrs	416
The marriage rate in Nevada	r=0.98	23yrs	416
The marriage rate in Tennessee	r=0.98	23yrs	416
The divorce rate in Alabama	r=0.97	23yrs	416
Burglaries in Oregon	r=0.96	38yrs	416
Google searches for 'learn spanish'	r=0.96	19yrs	410
Google searches for 'oprah winfrey'	r=0.95	19yrs	409
Google searches for 'desktop background'	r=0.95	16yrs	406
Kerosene used in Portugal	r=0.95	43yrs	400
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
US household spending on books	r=0.98	23yrs	396
The number of typists in Florida	r=0.99	20yrs	394
The number of telemarketers in California	r=0.97	20yrs	393
The number of typists in Iowa	r=0.98	20yrs	393
US household spending on clothing	r=0.95	23yrs	392
US household spending on clothing for men	r=0.95	23yrs	392
US average milk-fat content of frozen dairy products	r=0.97	22yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
The divorce rate in Tennessee	r=0.97	23yrs	386
Google searches for 'report UFO sighting'	r=0.92	19yrs	380
Pirate attacks globally	r=0.95	14yrs	377
The marriage rate in Arkansas	r=0.97	23yrs	374
GMO use in corn grown in Texas	r=0.96	18yrs	374
United States music album sales	r=0.93	16yrs	372
Kerosene used in Norway	r=0.92	43yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
The marriage rate in Ohio	r=0.96	23yrs	363
The number of CEOs in Ohio	r=0.97	20yrs	363
US household spending on clothin for women	r=0.94	23yrs	360
Air pollution in Norwich, Connecticut	r=0.92	42yrs	359
AIG's stock price (AIG)	r=0.87	21yrs	358
Robberies in Oregon	r=0.95	38yrs	354
The marriage rate in South Carolina	r=0.96	23yrs	353
The number of typists in Ohio	r=0.98	20yrs	353
Kerosene used in Bolivia	r=0.91	42yrs	353
Google searches for 'snoop dog'	r=0.94	19yrs	348
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	346
The marriage rate in South Dakota	r=0.96	23yrs	343
Petroluem consumption in Bulgaria	r=0.91	42yrs	343
The number of data entry keyers in Alabama	r=0.97	20yrs	342
Arson in New York	r=0.94	38yrs	342
Google searches for 'black holes'	r=0.94	19yrs	338
Frozen yogurt consumption	r=0.92	32yrs	334
The marriage rate in Idaho	r=0.95	23yrs	332
The number of postal service machine operators in Connecticut	r=0.97	20yrs	332
Gasoline pumped in Bulgaria	r=0.9	42yrs	332
Burglaries in California	r=0.94	38yrs	332
Google searches for 'shook'	r=0.93	19yrs	326
The number of data entry keyers in Georgia	r=0.97	20yrs	322
Kerosene used in Uruguay	r=0.9	42yrs	322
Cottage cheese consumption	r=0.91	32yrs	322
Burglaries in New York	r=0.93	38yrs	321
Google searches for 'panama canal'	r=0.92	19yrs	314
The number of CEOs in Kentucky	r=0.96	20yrs	312
Burglaries in Washington	r=0.93	38yrs	311
Gasoline pumped in Germany	r=0.91	32yrs	303
Google searches for 'Panama Canal'	r=0.91	19yrs	303
The number of floral designers in Kentucky	r=0.97	20yrs	302
Burglaries in Alaska	r=0.92	38yrs	300
Google searches for 'matt parker'	r=0.91	19yrs	293
The number of file clerks in Maryland	r=0.97	20yrs	292
The marriage rate in Virginia	r=0.95	23yrs	292
Petroluem consumption in Uzbekistan	r=0.92	30yrs	292
Arson in Colorado	r=0.91	38yrs	288
The number of typists in Massachusetts	r=0.97	20yrs	282
The marriage rate in Wyoming	r=0.95	23yrs	282
Burglaries in Michigan	r=0.91	38yrs	278
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	276
The number of switchboard operators in Michigan	r=0.97	20yrs	272
The divorce rate in North Carolina	r=0.94	23yrs	272
Burglaries in Montana	r=0.91	38yrs	268
The number of costume attendants in Nevada	r=0.97	20yrs	262
The marriage rate in Alabama	r=0.94	23yrs	260
Burglaries in Oklahoma	r=0.91	38yrs	258
The number of telemarketers in New York	r=0.96	20yrs	252
Kerosene used in Cabo Verde	r=0.9	42yrs	252
The divorce rate in Ohio	r=0.93	23yrs	250
Robberies in Michigan	r=0.91	38yrs	248
The number of brokerage clerks in New York	r=0.97	20yrs	242
Kerosene used in Canada	r=0.9	43yrs	242
The divorce rate in Oregon	r=0.93	23yrs	240
The number of switchboard operators in Ohio	r=0.97	20yrs	232
Kerosene used in Romania	r=0.9	42yrs	232
The marriage rate in Arizona	r=0.93	23yrs	228
Arson in United States	r=0.88	38yrs	224
The number of legislators in Pennsylvania	r=0.96	20yrs	222
Kerosene used in U.S. Pacific Islands	r=0.89	42yrs	220
The divorce rate in Wyoming	r=0.92	23yrs	218
Burglary rates in the US	r=0.88	38yrs	214
The number of prepress technicians and workers in Pennsylvania	r=0.97	20yrs	212
The marriage rate in Kentucky	r=0.92	23yrs	207
The number of sewing machine operators in Pennsylvania	r=0.97	20yrs	202
Arson in Idaho	r=0.9	22yrs	200
The marriage rate in West Virginia	r=0.92	23yrs	197
The divorce rate in Florida	r=0.91	23yrs	187

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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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