Top variables that correlate with Popularity of the first name Clayton

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

Variable	Correlation	Years	Has img?
The marriage rate in Tennessee	r=0.97	23yrs	No
The number of school teachers in Iowa	r=0.91	13yrs	No

Popularity of the first name Clayton also correlates with...

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Italy	r=0.9	43yrs	392
Petroluem consumption in Germany	r=0.92	32yrs	384
The marriage rate in Ohio	r=0.95	23yrs	382
The marriage rate in South Carolina	r=0.94	23yrs	380
Total annual sales of Ford Motors in the United States	r=0.94	23yrs	377
Physical album shipment volume in the United States	r=0.91	24yrs	376
Kerosene used in Philippines	r=0.9	42yrs	362
US household spending on books	r=0.94	23yrs	360
The number of furniture finishers in Mississippi	r=0.95	20yrs	358
The number of boiler operators in Arizona	r=0.94	20yrs	357
The number of couriers and messengers in Kentucky	r=0.94	20yrs	357
US household spending on beef	r=0.91	23yrs	356
Carjackings in the US	r=0.86	27yrs	350
The marriage rate in New Hampshire	r=0.93	23yrs	348
Arson in Nebraska	r=0.9	38yrs	346
Arson in Rhode Island	r=0.87	38yrs	342
Ticket sales for Arizona Diamondbacks games	r=0.87	22yrs	340
Car crashes in the US	r=0.87	24yrs	338
The divorce rate in Tennessee	r=0.92	23yrs	338
Google searches for 'panama canal'	r=0.86	19yrs	336
Google searches for 'Panama Canal'	r=0.85	19yrs	334
US Hospital Occupancy Rate	r=0.86	18yrs	333
Gasoline pumped in Spain	r=0.88	43yrs	330
The marriage rate in Nevada	r=0.92	23yrs	327
The number of sewing machine operators in Louisiana	r=0.94	20yrs	327
The wind speed in Los Angeles	r=0.9	22yrs	324
US household spending on clothing for men	r=0.89	23yrs	322
Average length of LockPickingLawyer YouTube videos	r=0.91	8yrs	322
US household spending on clothing	r=0.88	23yrs	321
US household spending on meats, poultry, fish, and eggs	r=0.86	23yrs	318
US household spending on transportation	r=0.86	23yrs	318
Fossil fuel use in Greenland	r=0.86	42yrs	318
US average milk-fat content of frozen dairy products	r=0.88	22yrs	317
The marriage rate in Wisconsin	r=0.92	23yrs	317
The number of advertising and promotions managers in North Carolina	r=0.94	20yrs	317
US household spending on processed fruits	r=0.85	23yrs	316
US household spending on shoes	r=0.85	23yrs	316
Per capita consumption of margarine	r=0.94	10yrs	314
Air pollution in Sevierville, Tennessee	r=0.85	34yrs	310
Motor vehicle thefts in Louisiana	r=0.85	38yrs	309
GMO use in corn grown in South Dakota	r=0.89	23yrs	308
The number of sheet metal workers in Ohio	r=0.94	20yrs	307
GMO use in cotton in Georgia	r=0.89	23yrs	306
The marriage rate in Arizona	r=0.91	23yrs	306
Kerosene used in Vietnam	r=0.85	42yrs	304
GMO use in cotton in North Carolina	r=0.88	23yrs	304
Average number of comments on Extra History YouTube videos	r=0.87	11yrs	304
The number of advertising and promotions managers in Tennessee	r=0.94	20yrs	297
The marriage rate in Arkansas	r=0.91	23yrs	296
Gasoline pumped in Germany	r=0.89	32yrs	290
The marriage rate in Virginia	r=0.91	23yrs	286
The number of purchasing managers in California	r=0.93	20yrs	286
Gasoline pumped in Slovenia	r=0.9	31yrs	280
The number of advertising and promotions managers in Indiana	r=0.93	20yrs	276
The number of advertising and promotions managers in Iowa	r=0.93	20yrs	266
Jet fuel used in Uzbekistan	r=0.86	30yrs	264
The number of advertising and promotions managers in Louisiana	r=0.93	20yrs	256
Ticket sales for Baltimore Orioles games	r=0.81	45yrs	249
The number of dietetic technicians in Nebraska	r=0.93	20yrs	246
The marriage rate in Missouri	r=0.89	23yrs	242
US Employment Rate	r=0.85	33yrs	242
Automotive recalls for issues with Vehicle Speed Control	r=0.62	48yrs	242
Emmy Awards Ceremony viewership	r=0.8	36yrs	237
The number of advertising and promotions managers in New Mexico	r=0.93	20yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
The marriage rate in South Dakota	r=0.89	23yrs	232
Disney movies released	r=0.78	23yrs	228
The number of locker room attendants in Ohio	r=0.93	20yrs	226
The divorce rate in Alabama	r=0.88	23yrs	222
The number of switchboard operators in Utah	r=0.93	20yrs	216
The marriage rate in Kentucky	r=0.88	23yrs	211
Violent crime rates	r=0.67	38yrs	207
The number of sewing machine operators in Virginia	r=0.93	20yrs	206
The marriage rate in North Carolina	r=0.88	23yrs	201
The number of advertising and promotions managers in Colorado	r=0.92	20yrs	194
The marriage rate in Idaho	r=0.87	23yrs	190
The number of data entry keyers in Colorado	r=0.92	20yrs	184
Motor vehicle thefts	r=0.72	38yrs	184
The marriage rate in Minnesota	r=0.87	23yrs	180
The number of tool and die makers in Colorado	r=0.92	20yrs	174
Arson in Louisiana	r=0.84	38yrs	172
The marriage rate in Texas	r=0.87	23yrs	170
The number of sewing machine operators in Kentucky	r=0.92	20yrs	164
The divorce rate in Ohio	r=0.86	23yrs	160
Electricity generation in U.S. Virgin Islands	r=0.84	42yrs	160
Arson in Pennsylvania	r=0.82	38yrs	160
Fossil fuel use in U.S. Virgin Islands	r=0.84	42yrs	150
Motor vehicle thefts in Idaho	r=0.82	38yrs	150
The marriage rate in Colorado	r=0.86	23yrs	148
Kerosene used in Japan	r=0.85	43yrs	140
Motor vehicle thefts in Virginia	r=0.82	38yrs	140
Motor vehicle thefts in Florida	r=0.82	38yrs	130
Biomass power generated in Jamaica	r=0.82	42yrs	128
Gasoline pumped in Switzerland	r=0.82	43yrs	116
Gasoline pumped in Denmark	r=0.81	43yrs	104
Gasoline pumped in United Kingdom	r=0.8	43yrs	92
Gasoline pumped in Luxembourg	r=0.79	43yrs	81
Kerosene used in Tunisia	r=0.79	42yrs	70
Kerosene used in Central African Republic	r=0.83	35yrs	59
Fossil fuel use in Slovakia	r=0.84	29yrs	48

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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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