Top variables that correlate with Popularity of the first name Deonte

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.96	27yrs	424
Gasoline pumped in Germany	r=0.95	32yrs	419
The marriage rate in Tennessee	r=0.97	23yrs	414
Gasoline pumped in Spain	r=0.91	43yrs	394
The number of telemarketers in California	r=0.97	20yrs	393
The number of CEOs in Ohio	r=0.97	20yrs	393
The number of CEOs in Alabama	r=0.96	20yrs	392
US household spending on books	r=0.95	23yrs	392
Petroluem consumption in Germany	r=0.93	32yrs	386
The divorce rate in Tennessee	r=0.94	23yrs	382
US birth rates of triplets or more	r=0.91	20yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
Arson in Pennsylvania	r=0.92	38yrs	380
Physical album shipment volume in the United States	r=0.92	24yrs	378
xkcd comics published about romance	r=0.93	16yrs	378
Motor vehicle thefts in Louisiana	r=0.91	38yrs	378
Per capita consumption of margarine	r=0.97	10yrs	378
Google searches for 'learn spanish'	r=0.93	19yrs	376
Ticket sales for Arizona Diamondbacks games	r=0.9	22yrs	374
Google searches for 'oprah winfrey'	r=0.9	19yrs	372
Pirate attacks globally	r=0.9	14yrs	370
Google searches for 'desktop background'	r=0.91	16yrs	370
Customer satisfaction with Verizon	r=0.87	28yrs	366
The number of brickmasons in Alabama	r=0.97	20yrs	362
AIG's stock price (AIG)	r=0.9	21yrs	362
Ticket sales for Baltimore Orioles games	r=0.86	45yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
Number of edits to the Wikipedia article for Thanksgiving	r=0.89	16yrs	360
US household spending on processed fruits	r=0.92	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
Citigroup's stock price (C)	r=0.86	21yrs	356
US household spending on clothing	r=0.91	23yrs	356
The number of CEOs in Colorado	r=0.96	20yrs	352
US average milk-fat content of frozen dairy products	r=0.91	22yrs	352
The marriage rate in Ohio	r=0.94	23yrs	350
Petroluem consumption in Uzbekistan	r=0.9	30yrs	350
Google searches for 'report UFO sighting'	r=0.88	19yrs	344
The number of postal service machine operators in Connecticut	r=0.97	20yrs	342
US milk fat used to produce fluid beverage milk	r=0.89	22yrs	342
GMO use in corn grown in Texas	r=0.94	18yrs	341
The marriage rate in South Carolina	r=0.94	23yrs	340
Frozen yogurt consumption	r=0.89	32yrs	339
US Hospital Occupancy Rate	r=0.89	18yrs	338
GMO use in cotton in North Carolina	r=0.9	23yrs	337
United States music album sales	r=0.89	16yrs	336
Total annual sales of Ford Motors in the United States	r=0.85	23yrs	334
GMO use in cotton in Alabama	r=0.91	18yrs	334
The number of prepress technicians and workers in Illinois	r=0.97	20yrs	332
Geothermal power generated in Austria	r=0.92	17yrs	332
The marriage rate in Arizona	r=0.93	23yrs	328
The number of postal service machine operators in Indiana	r=0.97	20yrs	322
The divorce rate in Alabama	r=0.92	23yrs	318
Robberies in South Carolina	r=0.89	38yrs	315
The number of postal service machine operators in Minnesota	r=0.97	20yrs	312
Google searches for 'snoop dog'	r=0.9	19yrs	312
Gasoline pumped in Turkiye	r=0.89	43yrs	311
The marriage rate in Arkansas	r=0.91	23yrs	306
Milk consumption	r=0.86	32yrs	306
Arson in Nebraska	r=0.88	38yrs	304
The number of meter readers, utilities in Alabama	r=0.96	20yrs	300
Biomass power generated in Jamaica	r=0.87	42yrs	300
Google searches for 'black holes'	r=0.89	19yrs	300
Motor vehicle thefts in Indiana	r=0.88	38yrs	294
The number of postal service machine operators in California	r=0.96	20yrs	290
Kerosene used in Belgium	r=0.9	39yrs	288
Google searches for 'shook'	r=0.86	19yrs	286
Motor vehicle thefts in Florida	r=0.87	38yrs	282
The number of prepress technicians and workers in California	r=0.96	20yrs	280
Gasoline pumped in Italy	r=0.87	43yrs	278
Google searches for 'panama canal'	r=0.86	19yrs	276
Robberies in Maryland	r=0.87	38yrs	272
The number of postal service machine operators in Colorado	r=0.96	20yrs	270
Google searches for 'Panama Canal'	r=0.86	19yrs	266
Kerosene used in Philippines	r=0.85	42yrs	264
The marriage rate in Idaho	r=0.9	23yrs	264
Robberies in North Carolina	r=0.87	38yrs	262
The number of proofreaders in Connecticut	r=0.96	20yrs	260
The marriage rate in Wyoming	r=0.9	23yrs	254
The number of data entry keyers in District of Columbia	r=0.96	20yrs	250
Gasoline pumped in North Macedonia	r=0.9	30yrs	250
Robberies in Louisiana	r=0.86	38yrs	250
The divorce rate in North Carolina	r=0.89	23yrs	244
The number of postal service machine operators in Illinois	r=0.96	20yrs	240
Gasoline pumped in Lithuania	r=0.89	31yrs	239
The marriage rate in Alabama	r=0.89	23yrs	232
The number of typists in Iowa	r=0.96	20yrs	230
Gasoline pumped in Eritrea	r=0.87	28yrs	223
The marriage rate in South Dakota	r=0.89	23yrs	222
The number of postal service machine operators in Kansas	r=0.96	20yrs	220
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	212
The marriage rate in Kentucky	r=0.88	23yrs	211
The number of computer programmers in Maryland	r=0.95	20yrs	210
The marriage rate in Virginia	r=0.88	23yrs	201
The number of cashiers in Michigan	r=0.96	20yrs	200
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	200
The divorce rate in New Hampshire	r=0.87	23yrs	191
The marriage rate in Missouri	r=0.87	23yrs	180
The divorce rate in Ohio	r=0.86	23yrs	170
Violent crime rates	r=0.81	38yrs	168
The divorce rate in Oregon	r=0.86	23yrs	160
The divorce rate in Wyoming	r=0.86	23yrs	150

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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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