Top variables that correlate with Popularity of the first name Tyra

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

Variable	Correlation	Years	Sys. Score
Popularity of the 'all your base' meme	r=0.99	17yrs	419
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
Google searches for 'learn spanish'	r=0.97	19yrs	412
Google searches for 'black holes'	r=0.95	19yrs	409
Gasoline pumped in Serbia	r=0.95	16yrs	403
Number of edits to the Wikipedia article for Thanksgiving	r=0.95	16yrs	399
Citigroup's stock price (C)	r=0.94	21yrs	398
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 sewing machine operators in Mississippi	r=0.98	20yrs	393
The number of sewing machine operators in Arkansas	r=0.97	20yrs	392
The marriage rate in Tennessee	r=0.95	23yrs	382
The divorce rate in Alabama	r=0.94	23yrs	382
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
Google searches for 'snoop dog'	r=0.93	19yrs	376
Popularity of the 'leeroy jenkins' meme	r=0.9	17yrs	376
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	374
Gasoline pumped in Kosovo	r=0.92	14yrs	366
The number of tapers in Illinois	r=0.97	20yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
US household spending on floor coverings	r=0.91	23yrs	356
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
US household spending on books	r=0.91	23yrs	356
US average milk-fat content of frozen dairy products	r=0.93	22yrs	354
US household spending on clothin for women	r=0.9	23yrs	354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	353
The number of couriers and messengers in Kansas	r=0.97	20yrs	352
The marriage rate in Arizona	r=0.94	23yrs	350
GMO use in corn grown in South Dakota	r=0.94	23yrs	346
Google searches for 'Panama Canal'	r=0.92	19yrs	344
US birth rates of triplets or more	r=0.87	20yrs	344
The number of CEOs in Kentucky	r=0.96	20yrs	342
The marriage rate in Idaho	r=0.94	23yrs	340
GMO use in cotton in North Carolina	r=0.92	23yrs	340
GMO use in cotton in Alabama	r=0.93	18yrs	336
Total annual sales of Ford Motors in the United States	r=0.86	23yrs	335
United States music album sales	r=0.88	16yrs	334
The number of payroll and timekeeping clerks in Michigan	r=0.97	20yrs	332
The marriage rate in Wyoming	r=0.94	23yrs	330
Google searches for 'Britney Spears'	r=0.92	15yrs	330
Arson in Idaho	r=0.88	22yrs	328
Gasoline pumped in Denmark	r=0.85	43yrs	325
Arson in Iowa	r=0.85	22yrs	323
The number of prepress technicians and workers in New Hampshire	r=0.97	20yrs	322
The divorce rate in Tennessee	r=0.93	23yrs	320
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	22yrs	320
Air pollution in Sevierville, Tennessee	r=0.87	34yrs	314
The number of prepress technicians and workers in Ohio	r=0.97	20yrs	312
xkcd comics published about romance	r=0.87	16yrs	308
The marriage rate in Alabama	r=0.92	23yrs	307
Gasoline pumped in Slovenia	r=0.87	31yrs	306
The number of sewing machine operators in Tennessee	r=0.97	20yrs	302
The marriage rate in Arkansas	r=0.92	23yrs	297
The number of compensation and benefits managers in Colorado	r=0.98	19yrs	292
Google searches for 'panama canal'	r=0.9	19yrs	292
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	290
The marriage rate in Kentucky	r=0.92	23yrs	287
The number of professional painters in Alabama	r=0.96	20yrs	280
Google searches for 'oprah winfrey'	r=0.88	19yrs	278
The marriage rate in Ohio	r=0.92	23yrs	277
US average milk-fat content of cottage cheese	r=0.88	22yrs	277
GMO use in corn grown in Iowa	r=0.88	23yrs	277
Geothermal power generated in Austria	r=0.88	17yrs	276
The number of postal service machine operators in Arizona	r=0.96	20yrs	270
The marriage rate in Virginia	r=0.92	23yrs	267
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.85	22yrs	262
The number of typists in Arizona	r=0.96	20yrs	260
The marriage rate in South Carolina	r=0.9	23yrs	254
The average age of batters for the Baltimore Orioles	r=0.83	48yrs	252
The number of postal service machine operators in California	r=0.96	20yrs	250
Ticket sales for Cleveland Guardians games	r=0.79	45yrs	246
The marriage rate in South Dakota	r=0.9	23yrs	244
The number of office clerks in Delaware	r=0.96	20yrs	240
US Employment Rate	r=0.83	33yrs	238
Carjackings in the US	r=0.8	27yrs	236
The number of chemists in District of Columbia	r=0.96	20yrs	230
The number of telephone operators in Florida	r=0.97	19yrs	220
Barclays' stock price (BCS)	r=0.81	21yrs	214
The number of sewing machine operators in Hawaii	r=0.96	20yrs	210
The divorce rate in North Carolina	r=0.89	23yrs	204
The number of forging machine setters, operators, and tenders, metal and plastic in Illinois	r=0.96	20yrs	200
The marriage rate in North Carolina	r=0.89	23yrs	192
The marriage rate in Wisconsin	r=0.89	23yrs	182
Kerosene used in South Africa	r=0.85	42yrs	179
The marriage rate in Missouri	r=0.87	23yrs	170
Kerosene used in South Korea	r=0.84	43yrs	168
The divorce rate in Kentucky	r=0.86	23yrs	160
Kerosene used in Mauritius	r=0.83	42yrs	156
The divorce rate in Nevada	r=0.86	23yrs	150
Gasoline pumped in Italy	r=0.81	43yrs	144
Kerosene used in Nepal	r=0.81	42yrs	133
Gasoline pumped in Portugal	r=0.79	43yrs	121
Fossil fuel use in Greenland	r=0.77	42yrs	110
Gasoline pumped in Luxembourg	r=0.78	43yrs	100
Fossil fuel use in Slovakia	r=0.85	29yrs	89
Gasoline pumped in Turkiye	r=0.77	43yrs	78
Nuclear power generation in United Kingdom	r=0.75	42yrs	67
Petroluem consumption in Japan	r=0.73	48yrs	57
Kerosene used in Tonga	r=0.76	42yrs	46

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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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