Top variables that correlate with Popularity of the first name Tory

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.96	38yrs	456
Robberies in the US	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Arson in United States	r=0.95	38yrs	434
Carjackings in the US	r=0.96	27yrs	424
The marriage rate in Tennessee	r=0.96	23yrs	413
Physical album shipment volume in the United States	r=0.95	24yrs	412
Frozen yogurt consumption	r=0.96	32yrs	410
Gasoline pumped in Austria	r=0.92	43yrs	396
Kerosene used in Egypt	r=0.93	42yrs	396
Gasoline pumped in France	r=0.91	43yrs	394
The number of sewing machine operators in Hawaii	r=0.95	20yrs	388
The number of file clerks in Indiana	r=0.95	20yrs	388
The marriage rate in Ohio	r=0.95	23yrs	382
The marriage rate in Virginia	r=0.95	23yrs	382
The wind speed in Austin	r=0.95	39yrs	379
The wind speed in San Diego	r=0.94	39yrs	378
Burglaries in District of Columbia	r=0.97	38yrs	377
NASA's budget as a percentage of the total US Federal Budget	r=0.9	48yrs	375
Google searches for 'snoop dog'	r=0.91	19yrs	373
Total annual sales of Ford Motors in the United States	r=0.91	23yrs	372
Viewership count for Days of Our Lives	r=0.87	47yrs	368
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	367
Kerosene used in Pakistan	r=0.92	42yrs	364
US household spending on books	r=0.94	23yrs	360
Air pollution in Santa Maria, California	r=0.92	43yrs	360
AIG's stock price (AIG)	r=0.87	21yrs	358
The number of switchboard operators in Florida	r=0.95	20yrs	358
Motor vehicle thefts in New Jersey	r=0.97	38yrs	357
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
Air pollution in Santa Maria, California	r=0.9	42yrs	356
US household spending on clothin for women	r=0.9	23yrs	354
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	354
Petroluem consumption in North Korea	r=0.91	42yrs	353
US average milk-fat content of frozen dairy products	r=0.92	22yrs	353
The marriage rate in Nevada	r=0.94	23yrs	350
Motor vehicle thefts in New York	r=0.97	38yrs	347
GMO use in corn grown in South Dakota	r=0.94	23yrs	346
The distance between Neptune and the Sun	r=0.86	48yrs	344
The distance between Neptune and Earth	r=0.86	48yrs	344
The distance between Neptune and Mercury	r=0.86	48yrs	344
Kerosene used in North Korea	r=0.91	42yrs	343
US birth rates of triplets or more	r=0.86	20yrs	342
The divorce rate in Tennessee	r=0.93	23yrs	340
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	340
Google searches for 'panama canal'	r=0.89	19yrs	340
Google searches for 'learn spanish'	r=0.89	19yrs	340
Robberies in New York	r=0.97	38yrs	337
Kerosene used in Thailand	r=0.9	42yrs	332
The marriage rate in Arkansas	r=0.93	23yrs	328
The number of floral designers in Kentucky	r=0.95	20yrs	328
Burglaries in New York	r=0.96	38yrs	326
The marriage rate in South Dakota	r=0.93	23yrs	318
The number of advertising and promotions managers in Louisiana	r=0.95	20yrs	318
Burglaries in Connecticut	r=0.96	38yrs	316
The distance between Neptune and the moon	r=0.86	48yrs	314
Petroluem consumption in Uzbekistan	r=0.91	30yrs	311
Google searches for 'Panama Canal'	r=0.89	19yrs	310
The marriage rate in Wisconsin	r=0.93	23yrs	308
The number of advertising and promotions managers in Tennessee	r=0.95	20yrs	308
Motor vehicle thefts in Illinois	r=0.96	38yrs	306
Petroluem consumption in Azerbaijan	r=0.9	30yrs	300
The marriage rate in Idaho	r=0.92	23yrs	297
The number of receptionists in California	r=0.93	20yrs	297
Robberies in Illinois	r=0.96	38yrs	296
The marriage rate in Kentucky	r=0.92	23yrs	287
The number of data entry keyers in California	r=0.94	20yrs	287
Robberies in California	r=0.96	38yrs	286
The divorce rate in Alabama	r=0.91	23yrs	277
The number of switchboard operators in Michigan	r=0.94	20yrs	277
Arson in California	r=0.95	38yrs	274
Kerosene used in Argentina	r=0.9	42yrs	272
The number of sewing machine operators in New Jersey	r=0.94	20yrs	267
The marriage rate in Arizona	r=0.91	23yrs	266
Burglaries in New Jersey	r=0.95	38yrs	264
Gasoline pumped in Belgium	r=0.87	43yrs	258
The number of tool and die makers in Rhode Island	r=0.94	20yrs	257
The marriage rate in South Carolina	r=0.91	23yrs	256
Robberies in Washington	r=0.95	38yrs	254
Kerosene used in Cuba	r=0.88	42yrs	248
The marriage rate in Wyoming	r=0.91	23yrs	246
The number of data entry keyers in Colorado	r=0.93	20yrs	246
Gasoline pumped in United Kingdom	r=0.87	43yrs	238
The number of floral designers in Georgia	r=0.93	20yrs	236
Motor vehicle thefts	r=0.95	38yrs	234
The marriage rate in Missouri	r=0.9	23yrs	234
The number of advertising and promotions managers in Idaho	r=0.93	20yrs	226
Gasoline pumped in North Korea	r=0.86	42yrs	226
The marriage rate in North Carolina	r=0.9	23yrs	224
Burglary rates in the US	r=0.92	38yrs	220
The number of telemarketers in Illinois	r=0.92	20yrs	216
Gasoline pumped in Germany	r=0.89	32yrs	210
The number of couriers and messengers in Kentucky	r=0.93	20yrs	206
Jet fuel used in Ukraine	r=0.89	30yrs	198
The number of sewing machine operators in Louisiana	r=0.93	20yrs	196
Arson in Texas	r=0.95	38yrs	194
The number of typists in Maine	r=0.93	20yrs	186
Petroluem consumption in Ukraine	r=0.86	30yrs	184
The number of mechanical drafters in Michigan	r=0.93	20yrs	176
The number of typists in Michigan	r=0.93	20yrs	166

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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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