Top variables that correlate with Popularity of the first name Katheryn

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

Variable	Correlation	Years	Sys. Score
Gasoline pumped in United Kingdom	r=0.96	43yrs	432
Violent crime rates	r=0.91	38yrs	418
Arson in Texas	r=0.96	38yrs	416
The divorce rate in Wyoming	r=0.96	23yrs	414
Arson in Missouri	r=0.95	38yrs	414
Milk consumption	r=0.97	32yrs	412
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Gasoline pumped in Norway	r=0.93	43yrs	397
The number of switchboard operators in Texas	r=0.97	20yrs	392
Kerosene used in Macau	r=0.9	42yrs	392
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.97	22yrs	390
The number of switchboard operators in New Hampshire	r=0.96	20yrs	390
The number of computer programmers in New Jersey	r=0.95	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US birth rates of triplets or more	r=0.95	20yrs	386
Burglaries in Hawaii	r=0.95	38yrs	384
The marriage rate in South Dakota	r=0.95	23yrs	382
The divorce rate in North Carolina	r=0.94	23yrs	382
Cigarette Smoking Rate for US adults	r=0.94	21yrs	378
Physical album shipment volume in the United States	r=0.92	24yrs	378
Burglaries in Kansas	r=0.95	38yrs	374
Patents granted to Toshiba	r=0.93	12yrs	368
US household spending on clothing	r=0.95	23yrs	362
The number of switchboard operators in North Carolina	r=0.96	20yrs	360
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	358
Petroluem consumption in Germany	r=0.94	32yrs	358
GMO use in cotton	r=0.91	23yrs	358
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on books	r=0.91	23yrs	356
US household spending on postage and stationery	r=0.9	23yrs	354
The divorce rate in Oregon	r=0.94	23yrs	352
Arson in United States	r=0.93	38yrs	351
The number of switchboard operators in Oklahoma	r=0.96	20yrs	350
US average milk-fat content of frozen dairy products	r=0.95	22yrs	348
Google searches for 'report UFO sighting'	r=0.87	19yrs	343
U.S. intercountry adoptions	r=0.89	23yrs	342
Google searches for 'panama canal'	r=0.9	19yrs	342
Google searches for 'oprah winfrey'	r=0.9	19yrs	342
Motor vehicle thefts	r=0.93	38yrs	341
The number of forging machine setters, operators, and tenders, metal and plastic in Pennsylvania	r=0.96	20yrs	340
The marriage rate in Arkansas	r=0.94	23yrs	340
GMO use in cotton in Texas	r=0.9	23yrs	337
Google searches for 'Panama Canal'	r=0.87	19yrs	337
The wind speed in Austin	r=0.87	39yrs	337
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	334
Robberies in the US	r=0.93	38yrs	331
The number of switchboard operators in Tennessee	r=0.96	20yrs	330
The divorce rate in Arkansas	r=0.93	23yrs	330
Cottage cheese consumption	r=0.92	32yrs	324
The divorce rate in Florida	r=0.93	23yrs	320
The number of switchboard operators in California	r=0.95	20yrs	318
Burglary rates in the US	r=0.9	38yrs	316
Gasoline pumped in Austria	r=0.89	43yrs	311
The divorce rate in Kentucky	r=0.93	23yrs	310
The number of switchboard operators in Indiana	r=0.95	20yrs	308
Google searches for 'shook'	r=0.86	19yrs	306
The divorce rate in Ohio	r=0.93	23yrs	300
Gasoline pumped in Sweden	r=0.88	43yrs	300
The number of fast food cooks in Michigan	r=0.95	20yrs	298
Arson in North Carolina	r=0.95	38yrs	294
The divorce rate in Texas	r=0.93	23yrs	290
The number of typists in Mississippi	r=0.95	20yrs	288
Kerosene used in Syria	r=0.88	42yrs	288
Motor vehicle thefts in Florida	r=0.95	38yrs	284
The number of file clerks in Ohio	r=0.95	20yrs	278
The marriage rate in Idaho	r=0.93	23yrs	278
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	277
Kerosene used in Japan	r=0.86	43yrs	276
Arson in New Jersey	r=0.94	38yrs	272
The number of counter and rental clerks in Pennsylvania	r=0.95	20yrs	268
The marriage rate in Louisiana	r=0.93	23yrs	268
US production of fluid beverage milk	r=0.85	22yrs	266
Burglaries in Maryland	r=0.94	38yrs	262
Gasoline pumped in Germany	r=0.9	32yrs	262
The number of switchboard operators in Pennsylvania	r=0.95	20yrs	258
The divorce rate in Alabama	r=0.92	23yrs	258
Burglaries in South Carolina	r=0.94	38yrs	252
Carjackings in the US	r=0.88	27yrs	252
Gasoline pumped in Latvia	r=0.9	31yrs	250
The number of data entry keyers in Pennsylvania	r=0.95	20yrs	248
The divorce rate in Idaho	r=0.92	23yrs	248
Burglaries in Utah	r=0.94	38yrs	242
The number of typists in Wisconsin	r=0.95	20yrs	238
The divorce rate in Virginia	r=0.92	23yrs	238
Gasoline pumped in Slovenia	r=0.86	31yrs	234
Robberies in New Jersey	r=0.94	38yrs	232
The number of millwrights in Wisconsin	r=0.95	20yrs	228
The divorce rate in Wisconsin	r=0.92	23yrs	228
Petroluem consumption in Uzbekistan	r=0.86	30yrs	224
Arson in Indiana	r=0.93	38yrs	221
The marriage rate in Kansas	r=0.92	23yrs	217
The number of labor relations specialists in Arkansas	r=0.96	11yrs	211
Arson in Maryland	r=0.93	38yrs	211
The marriage rate in Nevada	r=0.92	23yrs	207
Burglaries in Illinois	r=0.93	38yrs	201
The number of computer network architects in Arkansas	r=0.95	11yrs	200
The marriage rate in Virginia	r=0.92	23yrs	197
Burglaries in Nebraska	r=0.93	38yrs	191
The divorce rate in Illinois	r=0.91	23yrs	187
The number of telemarketers in Nebraska	r=0.95	20yrs	170

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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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