Top variables that correlate with Popularity of the first name Siera

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

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Spain	r=0.96	40yrs	428
Gasoline pumped in Italy	r=0.95	40yrs	427
Petroluem consumption in Germany	r=0.96	32yrs	420
Physical album shipment volume in the United States	r=0.99	24yrs	418
The marriage rate in Nevada	r=0.98	23yrs	416
The divorce rate in Alabama	r=0.97	23yrs	416
Google searches for 'learn spanish'	r=0.98	19yrs	414
The marriage rate in Wyoming	r=0.97	23yrs	414
Popularity of the 'all your base' meme	r=0.95	17yrs	413
Google searches for 'black holes'	r=0.97	19yrs	412
AIG's stock price (AIG)	r=0.93	21yrs	396
The number of sewing machine operators in Alabama	r=0.98	20yrs	393
The number of postal service machine operators in Arizona	r=0.97	20yrs	392
The number of postal service machine operators in California	r=0.97	20yrs	392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
The marriage rate in Arkansas	r=0.96	23yrs	383
Liquefied petroleum gas used in Greenland	r=0.96	22yrs	380
US birth rates of triplets or more	r=0.91	20yrs	380
US milk fat used to produce fluid beverage milk	r=0.95	22yrs	380
Motor vehicle thefts in Louisiana	r=0.92	38yrs	380
GMO use in corn grown in South Dakota	r=0.96	23yrs	379
Robberies in South Carolina	r=0.9	38yrs	376
GMO use in cotton in North Carolina	r=0.95	23yrs	374
Google searches for 'Panama Canal'	r=0.92	19yrs	374
xkcd comics published about romance	r=0.91	16yrs	374
The marriage rate in Idaho	r=0.96	23yrs	373
The marriage rate in Tennessee	r=0.96	23yrs	363
The number of postal service machine operators in Connecticut	r=0.97	20yrs	362
Citigroup's stock price (C)	r=0.9	21yrs	362
US household spending on books	r=0.95	23yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
GMO use in cotton	r=0.9	23yrs	357
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on clothin for women	r=0.91	23yrs	356
US household spending on floor coverings	r=0.9	23yrs	354
The number of postal service machine operators in Illinois	r=0.97	20yrs	352
Kerosene used in Philippines	r=0.92	39yrs	352
Air pollution in Ithaca	r=0.91	33yrs	352
Carjackings in the US	r=0.86	27yrs	350
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
Google searches for 'snoop dog'	r=0.92	19yrs	344
The number of typists in Maine	r=0.97	20yrs	342
Ice cream consumption	r=0.91	32yrs	342
Gasoline pumped in Germany	r=0.95	32yrs	339
Google searches for 'panama canal'	r=0.91	19yrs	333
The number of postal service machine operators in Massachusetts	r=0.97	20yrs	332
Gasoline pumped in Slovenia	r=0.93	31yrs	325
The divorce rate in Tennessee	r=0.95	23yrs	323
The number of postal service machine operators in Minnesota	r=0.97	20yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.94	22yrs	316
Motor vehicle thefts in Indiana	r=0.9	38yrs	316
The number of CEOs in New Jersey	r=0.96	20yrs	312
The divorce rate in North Carolina	r=0.94	23yrs	312
Arson in Missouri	r=0.89	38yrs	305
The number of postal service machine operators in New York	r=0.97	20yrs	302
The marriage rate in Alabama	r=0.94	23yrs	300
Geothermal power generated in Austria	r=0.9	17yrs	300
Motor vehicle thefts in Georgia	r=0.89	38yrs	295
The number of cutters and trimmers, hand in North Carolina	r=0.97	20yrs	292
Google searches for 'oprah winfrey'	r=0.9	19yrs	292
The marriage rate in South Dakota	r=0.94	23yrs	290
Motor vehicle thefts in Maryland	r=0.89	38yrs	285
The number of CEOs in Ohio	r=0.96	20yrs	282
The marriage rate in Virginia	r=0.94	23yrs	280
Fossil fuel use in Greenland	r=0.89	39yrs	280
Robberies in Arizona	r=0.89	38yrs	275
The number of data entry keyers in Alabama	r=0.96	20yrs	270
Electricity generation in U.S. Virgin Islands	r=0.89	39yrs	270
The marriage rate in Ohio	r=0.92	23yrs	267
Arson in Pennsylvania	r=0.88	38yrs	264
The number of brickmasons in Alabama	r=0.96	20yrs	260
Petroluem consumption in Japan	r=0.9	40yrs	260
The marriage rate in South Carolina	r=0.92	23yrs	257
Motor vehicle thefts in Ohio	r=0.88	38yrs	254
The number of typists in Arizona	r=0.96	20yrs	250
Fossil fuel use in Denmark	r=0.88	39yrs	248
The divorce rate in Kentucky	r=0.91	23yrs	247
Motor vehicle thefts in Virginia	r=0.88	38yrs	244
The number of tool and die makers in Arkansas	r=0.96	20yrs	240
Fossil fuel use in U.S. Virgin Islands	r=0.88	39yrs	238
The marriage rate in Arizona	r=0.91	23yrs	236
Motor vehicle thefts in Florida	r=0.88	38yrs	234
The number of postal service machine operators in Colorado	r=0.96	20yrs	230
The divorce rate in Wyoming	r=0.9	23yrs	226
Kerosene used in Belgium	r=0.88	39yrs	226
Arson in Nebraska	r=0.87	38yrs	222
The number of typists in Florida	r=0.96	20yrs	220
Kerosene used in Japan	r=0.88	40yrs	216
The marriage rate in Wisconsin	r=0.9	23yrs	214
The number of data entry keyers in Georgia	r=0.96	20yrs	210
Gasoline pumped in Switzerland	r=0.88	40yrs	206
The number of advertising and promotions managers in Idaho	r=0.96	20yrs	200
Gasoline pumped in Denmark	r=0.87	40yrs	195
Gasoline pumped in Luxembourg	r=0.86	40yrs	184
The divorce rate in Ohio	r=0.9	23yrs	176
Kerosene used in Central African Republic	r=0.89	35yrs	173
The marriage rate in Kentucky	r=0.9	23yrs	164
Petroluem consumption in Italy	r=0.85	40yrs	162
The marriage rate in West Virginia	r=0.9	23yrs	154

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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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