Top variables that correlate with Popularity of the first name Tavon

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

Variable	Correlation	Years	Has img?
Pirate attacks globally	r=0.96	14yrs	No

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

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Wyoming	r=0.96	23yrs	413
The marriage rate in Idaho	r=0.95	23yrs	412
Google searches for 'learn spanish'	r=0.96	19yrs	410
Google searches for 'oprah winfrey'	r=0.96	19yrs	410
Google searches for 'snoop dog'	r=0.95	19yrs	409
Gasoline pumped in Italy	r=0.92	43yrs	396
The number of telemarketers in California	r=0.97	20yrs	393
The number of tool and die makers in Arkansas	r=0.97	20yrs	392
The number of office clerks in Delaware	r=0.97	20yrs	392
Gasoline pumped in Spain	r=0.9	43yrs	392
Carjackings in the US	r=0.9	27yrs	386
Petroluem consumption in Germany	r=0.92	32yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
The marriage rate in Alabama	r=0.94	23yrs	380
Robberies in South Carolina	r=0.92	38yrs	380
Google searches for 'report UFO sighting'	r=0.91	19yrs	379
U.S. intercountry adoptions	r=0.93	23yrs	378
GMO use in corn grown in Iowa	r=0.95	23yrs	378
Robberies in North Carolina	r=0.91	38yrs	378
Popularity of the 'all your base' meme	r=0.92	17yrs	378
xkcd comics published about romance	r=0.92	16yrs	376
United States music album sales	r=0.93	16yrs	372
Milk consumption	r=0.9	32yrs	372
GMO use in cotton in Tennessee	r=0.95	18yrs	370
The number of data entry keyers in Georgia	r=0.97	20yrs	362
AIG's stock price (AIG)	r=0.89	21yrs	360
Citigroup's stock price (C)	r=0.88	21yrs	359
GMO use in cotton	r=0.91	23yrs	358
Lloyds Banking Group's stock price (LYG)	r=0.87	21yrs	358
US household spending on floor coverings	r=0.93	23yrs	358
US household spending on clothin for women	r=0.92	23yrs	357
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	356
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.94	22yrs	356
US household spending on postage and stationery	r=0.91	23yrs	356
US household spending on clothing	r=0.91	23yrs	356
The number of postal service machine operators in Iowa	r=0.97	20yrs	352
The marriage rate in Nevada	r=0.94	23yrs	350
Gasoline pumped in Slovenia	r=0.9	31yrs	350
Air pollution in Washington Court House, Ohio	r=0.9	33yrs	347
Robberies in Pennsylvania	r=0.9	38yrs	346
Google searches for 'desktop background'	r=0.94	16yrs	344
Viewership count of American Idol Season Finale	r=0.88	21yrs	344
The number of computer programmers in Michigan	r=0.96	20yrs	342
The divorce rate in Alabama	r=0.93	23yrs	340
Google searches for 'black holes'	r=0.92	19yrs	334
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	334
The number of carpenters in Mississippi	r=0.97	20yrs	332
The divorce rate in Mississippi	r=0.92	23yrs	328
US average milk-fat content of cottage cheese	r=0.94	22yrs	326
The number of CEOs in Ohio	r=0.96	20yrs	322
Arson in Idaho	r=0.9	22yrs	320
The divorce rate in North Carolina	r=0.92	23yrs	318
US average milk-fat content of frozen dairy products	r=0.93	22yrs	314
GMO use in corn grown in Minnesota	r=0.93	23yrs	314
The number of typists in Ohio	r=0.97	20yrs	312
Arson in Iowa	r=0.9	22yrs	310
Electricity generation in U.S. Virgin Islands	r=0.87	42yrs	310
The marriage rate in Arkansas	r=0.92	23yrs	307
GMO use in corn grown in Nebraska	r=0.93	23yrs	304
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	303
The number of prepress technicians and workers in Pennsylvania	r=0.97	20yrs	302
Fossil fuel use in U.S. Virgin Islands	r=0.87	42yrs	300
The divorce rate in Kentucky	r=0.91	23yrs	297
GMO use in corn	r=0.93	23yrs	294
The number of postal service machine operators in Washington	r=0.97	20yrs	292
Gasoline pumped in Denmark	r=0.88	43yrs	290
The marriage rate in South Dakota	r=0.91	23yrs	286
Motor vehicle thefts in Georgia	r=0.88	38yrs	284
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	283
The number of postal service machine operators in Wisconsin	r=0.97	20yrs	282
GMO use in corn grown in Texas	r=0.95	18yrs	282
Fossil fuel use in Denmark	r=0.86	42yrs	278
The divorce rate in Tennessee	r=0.9	23yrs	276
Motor vehicle thefts in North Carolina	r=0.88	38yrs	274
The number of compensation and benefits managers in Ohio	r=0.98	19yrs	272
US production of cottage cheese	r=0.89	22yrs	272
Gasoline pumped in Switzerland	r=0.87	43yrs	268
The divorce rate in Wyoming	r=0.9	23yrs	266
Motor vehicle thefts in Indiana	r=0.88	38yrs	264
The number of meter readers, utilities in Alabama	r=0.96	20yrs	260
Kerosene used in Japan	r=0.85	43yrs	255
The marriage rate in Virginia	r=0.9	23yrs	254
The number of sewing machine operators in Alabama	r=0.96	20yrs	250
Kerosene used in Philippines	r=0.85	42yrs	244
The number of conveyor operators in Alabama	r=0.96	20yrs	240
The number of sewing machine operators in Arkansas	r=0.96	20yrs	230
Fossil fuel use in Slovakia	r=0.89	29yrs	230
The number of postal service machine operators in California	r=0.96	20yrs	220
Nuclear power generation in Germany	r=0.86	31yrs	218
The divorce rate in Arkansas	r=0.9	23yrs	216
The number of bill collectors in Colorado	r=0.95	20yrs	210
Gasoline pumped in Germany	r=0.88	32yrs	208
The divorce rate in Florida	r=0.9	23yrs	206
The number of postal service machine operators in Colorado	r=0.96	20yrs	200
Gasoline pumped in Latvia	r=0.87	31yrs	196
The divorce rate in Virginia	r=0.89	23yrs	194
Gasoline pumped in Lithuania	r=0.86	31yrs	184
The marriage rate in Kentucky	r=0.89	23yrs	182
The marriage rate in Louisiana	r=0.89	23yrs	172

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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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