Top variables that correlate with Popularity of the first name Tre

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

Variable	Correlation	Years	Sys. Score
The marriage rate in Tennessee	r=0.99	23yrs	418
Google searches for 'black holes'	r=0.98	19yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Ohio	r=0.96	23yrs	413
Google searches for 'learn spanish'	r=0.97	19yrs	412
US household spending on books	r=0.97	23yrs	394
The number of file clerks in Michigan	r=0.98	20yrs	393
The number of typists in Indiana	r=0.97	20yrs	392
The number of typists in Iowa	r=0.97	20yrs	392
Carjackings in the US	r=0.93	27yrs	390
The divorce rate in Tennessee	r=0.95	23yrs	383
Physical album shipment volume in the United States	r=0.95	24yrs	382
Petroluem consumption in Uzbekistan	r=0.92	30yrs	382
Google searches for 'report UFO sighting'	r=0.92	19yrs	380
Jet fuel used in Ukraine	r=0.9	30yrs	380
Per capita consumption of margarine	r=0.97	10yrs	378
Google searches for 'snoop dog'	r=0.93	19yrs	376
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	374
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
xkcd comics published about romance	r=0.91	16yrs	374
The marriage rate in South Carolina	r=0.95	23yrs	372
The number of floral designers in Kentucky	r=0.97	20yrs	362
AIG's stock price (AIG)	r=0.87	21yrs	358
US household spending on beef	r=0.92	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on processed fruits	r=0.91	23yrs	356
US household spending on clothing	r=0.91	23yrs	356
US average milk-fat content of frozen dairy products	r=0.93	22yrs	354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	352
The number of postal service machine operators in Massachusetts	r=0.97	20yrs	352
US birth rates of triplets or more	r=0.9	20yrs	348
Popularity of the 'all your base' meme	r=0.9	17yrs	346
GMO use in corn grown in South Dakota	r=0.93	23yrs	344
Google searches for 'panama canal'	r=0.92	19yrs	344
GMO use in cotton in North Carolina	r=0.93	23yrs	342
The number of advertising and promotions managers in Puerto Rico	r=0.97	20yrs	342
Total annual sales of Ford Motors in the United States	r=0.9	23yrs	341
Ticket sales for Arizona Diamondbacks games	r=0.87	22yrs	340
GMO use in cotton in Alabama	r=0.92	18yrs	335
US Hospital Occupancy Rate	r=0.87	18yrs	334
Google searches for 'Panama Canal'	r=0.92	19yrs	334
The number of compensation and benefits managers in Kansas	r=0.98	19yrs	332
The divorce rate in Alabama	r=0.94	23yrs	332
Arson in Idaho	r=0.86	22yrs	324
Google searches for 'E.T. phone home'	r=0.9	19yrs	322
US household spending on clothin for women	r=0.89	23yrs	322
The wind speed in Los Angeles	r=0.88	22yrs	322
Annual US household spending on books	r=0.88	23yrs	321
The number of sewing machine operators in Alabama	r=0.96	20yrs	320
The marriage rate in Arizona	r=0.94	23yrs	320
Petroluem consumption in Azerbaijan	r=0.88	30yrs	316
US household spending on meats, poultry, fish, and eggs	r=0.85	23yrs	316
US household spending on pork	r=0.85	23yrs	316
US household spending on transportation	r=0.85	23yrs	316
The number of postal service machine operators in Delaware	r=0.96	20yrs	310
The marriage rate in Arkansas	r=0.94	23yrs	310
Petroluem consumption in Ukraine	r=0.86	30yrs	304
Google searches for 'cia hotline'	r=0.87	19yrs	300
The number of typists in Florida	r=0.96	20yrs	300
The marriage rate in South Dakota	r=0.93	23yrs	298
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	290
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.89	22yrs	288
The marriage rate in Virginia	r=0.93	23yrs	288
Geothermal power generated in Austria	r=0.86	17yrs	284
The number of CEOs in Kentucky	r=0.95	20yrs	280
The marriage rate in Idaho	r=0.92	23yrs	277
GMO use in corn grown in Texas	r=0.9	18yrs	275
Gasoline pumped in Kosovo	r=0.9	14yrs	274
The number of typists in Maine	r=0.96	20yrs	270
Google searches for 'matt parker'	r=0.88	19yrs	268
The marriage rate in Wyoming	r=0.92	23yrs	267
GMO use in cotton in Georgia	r=0.88	23yrs	264
The number of postal service machine operators in Michigan	r=0.96	20yrs	260
Google searches for 'oprah winfrey'	r=0.86	19yrs	256
The divorce rate in North Carolina	r=0.9	23yrs	256
Customer satisfaction with Verizon	r=0.82	28yrs	254
Customer satisfaction with Walmart	r=0.81	27yrs	251
The number of typists in Michigan	r=0.96	20yrs	250
Citigroup's stock price (C)	r=0.84	21yrs	248
Lloyds Banking Group's stock price (LYG)	r=0.84	21yrs	248
Customer satisfaction with Frontier Communications	r=0.78	28yrs	248
Jet fuel used in Germany, West	r=0.93	10yrs	244
The marriage rate in Alabama	r=0.9	23yrs	244
Customer satisfaction with Whirlpool	r=0.73	28yrs	240
The number of postal service machine operators in Minnesota	r=0.96	20yrs	240
Ticket sales for Baltimore Orioles games	r=0.78	39yrs	238
The marriage rate in Kentucky	r=0.9	23yrs	234
The number of office clerks in Minnesota	r=0.96	20yrs	230
The marriage rate in Wisconsin	r=0.9	23yrs	224
The number of sewing machine operators in New Jersey	r=0.96	20yrs	220
The number of cutters and trimmers, hand in North Carolina	r=0.96	20yrs	210
The number of sewing machine operators in Pennsylvania	r=0.96	20yrs	200
The marriage rate in Missouri	r=0.89	23yrs	182
The marriage rate in New Hampshire	r=0.89	23yrs	172
The divorce rate in Ohio	r=0.88	23yrs	162
Gasoline pumped in Luxembourg	r=0.79	42yrs	160
The divorce rate in Oregon	r=0.88	23yrs	152
Gasoline pumped in Germany	r=0.84	32yrs	148
Nuclear power generation in United Kingdom	r=0.75	41yrs	136
Gasoline pumped in Mauritania	r=0.77	41yrs	126
Gasoline pumped in Portugal	r=0.76	42yrs	116

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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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