Top variables that correlate with Popularity of the first name Stuart

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Egypt	r=0.97	42yrs	432
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
Kerosene used in Argentina	r=0.96	42yrs	430
Kerosene used in Pakistan	r=0.96	42yrs	430
Carjackings in the US	r=0.97	27yrs	426
Burglaries in New York	r=0.99	38yrs	420
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	418
US birth rates of triplets or more	r=0.95	20yrs	416
Physical album shipment volume in the United States	r=0.97	24yrs	416
The marriage rate in Tennessee	r=0.98	23yrs	416
The marriage rate in Nevada	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.96	23yrs	414
Google searches for 'learn spanish'	r=0.97	19yrs	412
United States music album sales	r=0.97	16yrs	408
Google searches for 'desktop background'	r=0.95	16yrs	406
Viewership count for Days of Our Lives	r=0.91	47yrs	404
Kerosene used in Thailand	r=0.96	42yrs	400
Air pollution in San Diego, California	r=0.96	43yrs	396
The number of CEOs in Ohio	r=0.98	20yrs	394
The number of telemarketers in California	r=0.97	20yrs	393
The number of postal service machine operators in Connecticut	r=0.98	20yrs	393
US household spending on books	r=0.96	23yrs	393
Arson in New York	r=0.97	38yrs	387
The distance between Neptune and the Sun	r=0.93	48yrs	385
The distance between Neptune and Earth	r=0.93	48yrs	385
The distance between Neptune and the moon	r=0.93	48yrs	385
The marriage rate in Arkansas	r=0.96	23yrs	383
Popularity of the 'all your base' meme	r=0.93	17yrs	380
Google searches for 'oprah winfrey'	r=0.94	19yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Burglaries in California	r=0.97	38yrs	377
The wind speed in San Diego	r=0.93	39yrs	376
GMO use in corn grown in Texas	r=0.96	18yrs	374
The wind speed in Nashville	r=0.92	39yrs	374
The marriage rate in South Carolina	r=0.96	23yrs	373
Frozen yogurt consumption	r=0.91	32yrs	372
Cottage cheese consumption	r=0.9	32yrs	370
Air pollution in Los Angeles	r=0.95	43yrs	368
Burglaries in Connecticut	r=0.97	38yrs	367
The divorce rate in Alabama	r=0.95	23yrs	363
The number of typists in Florida	r=0.98	20yrs	363
Gasoline pumped in France	r=0.95	43yrs	360
Motor vehicle thefts in New Jersey	r=0.96	38yrs	356
The distance between Neptune and Mercury	r=0.92	48yrs	354
The number of data entry keyers in Georgia	r=0.98	20yrs	353
The marriage rate in Ohio	r=0.95	23yrs	352
Kerosene used in Cuba	r=0.95	42yrs	349
Google searches for 'black holes'	r=0.94	19yrs	348
Robberies in New York	r=0.96	38yrs	346
The number of CEOs in Kentucky	r=0.97	20yrs	343
The marriage rate in Wyoming	r=0.95	23yrs	342
Gasoline pumped in Cuba	r=0.94	42yrs	338
Robberies in Oregon	r=0.96	38yrs	336
Google searches for 'panama canal'	r=0.93	19yrs	336
The number of file clerks in Maryland	r=0.98	20yrs	333
Kerosene used in Venezuela	r=0.94	42yrs	328
Google searches for 'Panama Canal'	r=0.93	19yrs	326
Burglaries in Colorado	r=0.95	38yrs	324
The number of telemarketers in New Jersey	r=0.97	20yrs	323
Google searches for 'snoop dog'	r=0.93	19yrs	316
Kerosene used in Brazil	r=0.92	42yrs	314
The number of conveyor operators in New Jersey	r=0.98	20yrs	313
Gasoline pumped in Somalia	r=0.92	42yrs	304
Google searches for 'shook'	r=0.92	19yrs	304
The number of typists in Ohio	r=0.98	20yrs	303
Arson in United States	r=0.94	38yrs	302
The marriage rate in Arizona	r=0.94	23yrs	300
Burglary rates in the US	r=0.94	38yrs	292
The number of meter readers, utilities in Alabama	r=0.97	20yrs	292
Gasoline pumped in Austria	r=0.9	43yrs	292
The marriage rate in South Dakota	r=0.94	23yrs	290
The number of sewing machine operators in Alabama	r=0.97	20yrs	282
The divorce rate in North Carolina	r=0.93	23yrs	280
The number of file clerks in Arkansas	r=0.97	20yrs	272
Petroluem consumption in Uzbekistan	r=0.92	30yrs	272
The marriage rate in Idaho	r=0.93	23yrs	268
Burglaries in Florida	r=0.95	38yrs	264
The number of tool and die makers in Arkansas	r=0.97	20yrs	262
The marriage rate in Virginia	r=0.93	23yrs	258
Burglaries in Rhode Island	r=0.95	38yrs	254
Geothermal power generated in Austria	r=0.93	17yrs	254
The number of postal service machine operators in California	r=0.97	20yrs	252
The marriage rate in Alabama	r=0.92	23yrs	247
Motor vehicle thefts in Rhode Island	r=0.95	38yrs	244
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	244
The number of postal service machine operators in Colorado	r=0.97	20yrs	242
The divorce rate in Ohio	r=0.91	23yrs	237
The number of postal service machine operators in Illinois	r=0.97	20yrs	232
Arson in California	r=0.94	38yrs	232
The divorce rate in Oregon	r=0.91	23yrs	227
The number of couriers and messengers in Indiana	r=0.97	20yrs	222
Arson in Colorado	r=0.94	38yrs	222
The divorce rate in Wyoming	r=0.91	23yrs	217
The number of postal service machine operators in Iowa	r=0.97	20yrs	212
Burglaries in New Jersey	r=0.94	38yrs	212
The marriage rate in Kansas	r=0.91	23yrs	206
The number of typists in Iowa	r=0.97	20yrs	202
Burglaries in New Mexico	r=0.94	38yrs	202
The marriage rate in Kentucky	r=0.91	23yrs	196
Burglaries in Oregon	r=0.94	38yrs	192
The marriage rate in West Virginia	r=0.91	23yrs	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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