Top variables that correlate with Popularity of the first name Cathryn

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

Variable	Correlation	Years	Sys. Score
Arson in New Jersey	r=0.96	38yrs	416
Arson in Texas	r=0.96	38yrs	416
Burglaries in Hawaii	r=0.95	38yrs	414
The marriage rate in South Dakota	r=0.96	23yrs	413
Physical album shipment volume in the United States	r=0.95	24yrs	412
The marriage rate in Arkansas	r=0.95	23yrs	412
The marriage rate in Wyoming	r=0.95	23yrs	412
Patents granted to Toshiba	r=0.95	12yrs	400
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Gasoline pumped in Austria	r=0.93	43yrs	397
Gasoline pumped in United Kingdom	r=0.93	43yrs	397
Gasoline pumped in France	r=0.92	43yrs	396
US household spending on clothing	r=0.96	23yrs	393
US household spending on clothing for men	r=0.96	23yrs	393
The number of sewing machine operators in California	r=0.95	20yrs	388
Motor vehicle thefts in Michigan	r=0.95	38yrs	384
The number of labor relations specialists in Iowa	r=0.96	11yrs	381
US birth rates of triplets or more	r=0.91	20yrs	380
Milk consumption	r=0.94	32yrs	378
Google searches for 'snoop dog'	r=0.91	19yrs	373
Google searches for 'panama canal'	r=0.91	19yrs	373
NASA's budget as a percentage of the total US Federal Budget	r=0.88	48yrs	372
Google searches for 'Panama Canal'	r=0.9	19yrs	372
United States music album sales	r=0.91	16yrs	368
Kerosene used in Egypt	r=0.91	42yrs	363
Arson in United States	r=0.94	38yrs	362
US household spending on clothin for women	r=0.94	23yrs	360
Air pollution in Oxnard, California	r=0.92	43yrs	360
Air pollution in Washington, D.C.	r=0.9	43yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
Lloyds Banking Group's stock price (LYG)	r=0.88	21yrs	359
The number of meter readers, utilities in Alabama	r=0.95	20yrs	358
US household spending on books	r=0.92	23yrs	357
US average milk-fat content of frozen dairy products	r=0.93	22yrs	354
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	353
Kerosene used in Macau	r=0.91	42yrs	353
The divorce rate in Tennessee	r=0.94	23yrs	352
Motor vehicle thefts	r=0.92	38yrs	350
The distance between Neptune and the Sun	r=0.87	48yrs	346
Gasoline pumped in Norway	r=0.9	43yrs	342
The marriage rate in Idaho	r=0.94	23yrs	340
Burglary rates in the US	r=0.91	38yrs	338
The marriage rate in Nevada	r=0.94	23yrs	330
The number of telemarketers in California	r=0.94	20yrs	328
Robberies in the US	r=0.91	38yrs	328
Petroluem consumption in Germany	r=0.93	32yrs	326
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	22yrs	323
The marriage rate in Tennessee	r=0.94	23yrs	320
The number of cutters and trimmers, hand in California	r=0.95	20yrs	318
Gasoline pumped in Germany	r=0.9	32yrs	312
The marriage rate in Virginia	r=0.94	23yrs	310
The number of couriers and messengers in Indiana	r=0.95	20yrs	308
Arson in Maryland	r=0.95	38yrs	304
The number of file clerks in Minnesota	r=0.95	20yrs	298
The marriage rate in Kansas	r=0.93	23yrs	298
Violent crime rates	r=0.88	38yrs	294
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	292
The number of tool and die makers in New York	r=0.95	20yrs	288
The marriage rate in Ohio	r=0.93	23yrs	288
Burglaries in Maryland	r=0.94	38yrs	282
The marriage rate in South Carolina	r=0.93	23yrs	278
The number of payroll and timekeeping clerks in District of Columbia	r=0.94	20yrs	277
Arson in Missouri	r=0.93	38yrs	271
Kerosene used globally	r=0.89	42yrs	270
The marriage rate in West Virginia	r=0.93	23yrs	268
The number of bill collectors in Illinois	r=0.93	20yrs	267
Arson in North Carolina	r=0.93	38yrs	261
Petroluem consumption in Italy	r=0.85	48yrs	260
The divorce rate in North Carolina	r=0.92	23yrs	258
The number of floral designers in Indiana	r=0.94	20yrs	257
Carjackings in the US	r=0.89	27yrs	254
Burglaries in Idaho	r=0.93	38yrs	251
Kerosene used in Peru	r=0.89	42yrs	250
The number of bill collectors in Indiana	r=0.93	20yrs	247
The marriage rate in Alabama	r=0.92	23yrs	247
Burglaries in Illinois	r=0.93	38yrs	241
Kerosene used in Syria	r=0.89	42yrs	240
The number of file clerks in Maryland	r=0.94	20yrs	237
The divorce rate in Alabama	r=0.91	23yrs	237
Burglaries in Kansas	r=0.93	38yrs	231
Kerosene used in Pakistan	r=0.88	42yrs	228
The number of switchboard operators in Massachusetts	r=0.94	20yrs	227
The divorce rate in Ohio	r=0.91	23yrs	227
Burglaries in Nebraska	r=0.93	38yrs	221
Kerosene used in Thailand	r=0.88	42yrs	218
The number of file clerks in Massachusetts	r=0.94	20yrs	217
The divorce rate in Wyoming	r=0.91	23yrs	217
Burglaries in Arizona	r=0.93	38yrs	211
The number of prepress technicians and workers in Massachusetts	r=0.94	20yrs	207
The marriage rate in Arizona	r=0.91	23yrs	206
Burglaries in Utah	r=0.93	38yrs	201
Gasoline pumped in Latvia	r=0.89	31yrs	199
The number of brokerage clerks in New York	r=0.94	20yrs	197
The marriage rate in Kentucky	r=0.91	23yrs	196
Burglaries in Wyoming	r=0.93	38yrs	191
Gasoline pumped in Slovenia	r=0.88	31yrs	188
The number of data entry keyers in New York	r=0.94	20yrs	187
The marriage rate in Louisiana	r=0.91	23yrs	186
The number of CEOs in Ohio	r=0.93	20yrs	177
The number of typists in Ohio	r=0.94	20yrs	167

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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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