Top variables that correlate with Popularity of the first name Kristy

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Data source: US Social Security Administration
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Popularity of the first name Kristy 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
US birth rates of triplets or more	r=0.96	20yrs	418
Burglaries in Colorado	r=0.98	38yrs	418
Arson in New York	r=0.96	38yrs	416
Physical album shipment volume in the United States	r=0.97	24yrs	416
The marriage rate in Nevada	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.96	23yrs	414
The marriage rate in Arkansas	r=0.96	23yrs	413
United States music album sales	r=0.95	16yrs	404
Kerosene used in Portugal	r=0.95	43yrs	400
The number of telemarketers in California	r=0.98	20yrs	394
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	393
The number of meter readers, utilities in Alabama	r=0.98	20yrs	393
The number of sewing machine operators in California	r=0.98	20yrs	393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.97	22yrs	390
US average milk-fat content of frozen dairy products	r=0.97	22yrs	390
Burglaries in Oregon	r=0.95	38yrs	384
The marriage rate in Idaho	r=0.96	23yrs	383
Cigarette Smoking Rate for US adults	r=0.93	21yrs	376
GMO use in corn grown in Texas	r=0.97	18yrs	376
Google searches for 'oprah winfrey'	r=0.93	19yrs	376
Google searches for 'learn spanish'	r=0.92	19yrs	374
Google searches for 'desktop background'	r=0.94	16yrs	374
The marriage rate in Tennessee	r=0.96	23yrs	373
Kerosene used in Norway	r=0.92	43yrs	366
Customer satisfaction with Verizon	r=0.87	28yrs	366
The divorce rate in Alabama	r=0.95	23yrs	363
The number of postal service machine operators in Connecticut	r=0.98	20yrs	363
Customer satisfaction with Frontier Communications	r=0.85	28yrs	363
GMO use in cotton	r=0.93	23yrs	362
US household spending on clothing	r=0.95	23yrs	362
US household spending on books	r=0.95	23yrs	362
Arson in Idaho	r=0.96	22yrs	360
US household spending on clothing for men	r=0.94	23yrs	360
US household spending on clothin for women	r=0.94	23yrs	360
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.96	22yrs	359
AIG's stock price (AIG)	r=0.88	21yrs	359
Petroluem consumption in Bulgaria	r=0.92	42yrs	354
The divorce rate in North Carolina	r=0.95	23yrs	353
The number of couriers and messengers in Indiana	r=0.98	20yrs	353
The number of postal service machine operators in Nebraska	r=0.98	20yrs	343
Kerosene used in Bolivia	r=0.91	42yrs	343
The marriage rate in Alabama	r=0.95	23yrs	342
Google searches for 'panama canal'	r=0.9	19yrs	342
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	338
Robberies in Oregon	r=0.95	38yrs	334
The number of switchboard operators in New Jersey	r=0.98	20yrs	333
The marriage rate in South Dakota	r=0.95	23yrs	332
Gasoline pumped in Bulgaria	r=0.9	42yrs	332
The number of data entry keyers in New York	r=0.98	20yrs	323
The marriage rate in Wyoming	r=0.95	23yrs	322
Kerosene used in Uruguay	r=0.9	42yrs	322
Burglaries in California	r=0.94	38yrs	322
The number of postal service machine operators in North Dakota	r=0.98	20yrs	313
Burglaries in New York	r=0.93	38yrs	311
Jet fuel used in Ukraine	r=0.94	30yrs	306
The number of postal service machine operators in Oregon	r=0.98	20yrs	303
Burglaries in Washington	r=0.93	38yrs	301
Petroluem consumption in Ukraine	r=0.93	30yrs	294
The number of switchboard operators in Alabama	r=0.97	20yrs	292
Arson in Colorado	r=0.91	38yrs	288
The number of switchboard operators in California	r=0.97	20yrs	282
Petroluem consumption in Belarus	r=0.91	30yrs	281
The marriage rate in South Carolina	r=0.94	23yrs	280
Burglaries in Alaska	r=0.91	38yrs	278
The number of prepress technicians and workers in California	r=0.97	20yrs	272
The divorce rate in Kentucky	r=0.93	23yrs	270
Petroluem consumption in Azerbaijan	r=0.9	30yrs	270
Burglaries in Michigan	r=0.91	38yrs	268
The number of CEOs in Colorado	r=0.96	20yrs	262
The divorce rate in Wyoming	r=0.93	23yrs	260
Burglaries in Oklahoma	r=0.91	38yrs	258
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	256
The number of proofreaders in Connecticut	r=0.97	20yrs	252
The marriage rate in Ohio	r=0.93	23yrs	248
Burglaries in Texas	r=0.91	38yrs	248
Geothermal power generated in Austria	r=0.93	17yrs	244
The number of postal service machine operators in Kansas	r=0.97	20yrs	242
The marriage rate in Virginia	r=0.93	23yrs	238
Motor vehicle thefts in Oklahoma	r=0.91	38yrs	238
The number of file clerks in Massachusetts	r=0.97	20yrs	232
The divorce rate in New Hampshire	r=0.92	23yrs	228
Robberies in Michigan	r=0.91	38yrs	228
The number of prepress technicians and workers in Massachusetts	r=0.97	20yrs	222
Kerosene used in Canada	r=0.9	43yrs	222
The divorce rate in Ohio	r=0.92	23yrs	218
Arson in Maine	r=0.9	38yrs	216
The number of postal service machine operators in New Jersey	r=0.97	20yrs	212
Kerosene used in Romania	r=0.9	42yrs	212
The divorce rate in Oregon	r=0.92	23yrs	208
Burglaries in Montana	r=0.9	38yrs	206
The number of conveyor operators in New Jersey	r=0.97	20yrs	202
Kerosene used in Ecuador	r=0.89	42yrs	200
The marriage rate in Kansas	r=0.92	23yrs	197
Burglaries in Rhode Island	r=0.9	38yrs	196
Kerosene used in U.S. Pacific Islands	r=0.89	42yrs	190
The marriage rate in Kentucky	r=0.92	23yrs	187
Burglaries in Connecticut	r=0.9	38yrs	186

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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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