Top variables that correlate with Popularity of the first name Rasheed

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

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Tennessee	r=0.95	23yrs	412
Gasoline pumped in Italy	r=0.93	43yrs	397
US household spending on books	r=0.95	23yrs	392
Kerosene used in Philippines	r=0.9	42yrs	392
The number of bill collectors in District of Columbia	r=0.96	18yrs	390
Carjackings in the US	r=0.92	27yrs	388
The number of compensation and benefits managers in Kansas	r=0.95	19yrs	388
The number of compensation and benefits managers in Missouri	r=0.95	19yrs	388
Petroluem consumption in Germany	r=0.91	32yrs	383
Google searches for 'report UFO sighting'	r=0.93	19yrs	382
The marriage rate in Arkansas	r=0.95	23yrs	382
US birth rates of triplets or more	r=0.91	20yrs	380
Google searches for 'black holes'	r=0.94	19yrs	378
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
GMO use in corn grown in Texas	r=0.96	18yrs	374
Google searches for 'learn spanish'	r=0.92	19yrs	374
United States music album sales	r=0.93	16yrs	372
Google searches for 'desktop background'	r=0.91	16yrs	370
US household spending on clothing	r=0.93	23yrs	358
US household spending on processed fruits	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=0.92	23yrs	357
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	356
AIG's stock price (AIG)	r=0.86	21yrs	356
The number of librarians in Hawaii	r=0.95	16yrs	354
US average milk-fat content of frozen dairy products	r=0.93	22yrs	354
The divorce rate in Alabama	r=0.94	23yrs	352
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	346
The divorce rate in Tennessee	r=0.94	23yrs	342
GMO use in corn grown in South Dakota	r=0.91	23yrs	342
Robberies in South Carolina	r=0.87	38yrs	342
GMO use in cotton in North Carolina	r=0.92	23yrs	340
Arson in Nebraska	r=0.86	38yrs	340
Popularity of the 'all your base' meme	r=0.86	17yrs	340
US music album sales	r=0.89	16yrs	336
The marriage rate in Wyoming	r=0.94	23yrs	330
US household spending on beef	r=0.9	23yrs	324
Petroluem consumption in Japan	r=0.86	48yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	322
The divorce rate in North Carolina	r=0.93	23yrs	320
The number of switchboard operators in Indiana	r=0.95	20yrs	318
Google searches for 'panama canal'	r=0.9	19yrs	312
Motor vehicle thefts in Louisiana	r=0.85	38yrs	309
The marriage rate in Idaho	r=0.93	23yrs	308
The number of bill collectors in Maryland	r=0.94	20yrs	308
Gasoline pumped in Spain	r=0.86	43yrs	306
GMO use in cotton in Tennessee	r=0.91	18yrs	304
Google searches for 'E.T. phone home'	r=0.9	19yrs	302
The marriage rate in South Dakota	r=0.93	23yrs	298
The number of file clerks in Arkansas	r=0.94	20yrs	297
Google searches for 'matt parker'	r=0.9	19yrs	292
Gasoline pumped in Slovenia	r=0.89	31yrs	289
Arson in Idaho	r=0.88	22yrs	288
The marriage rate in Ohio	r=0.92	23yrs	287
The number of prepress technicians and workers in Illinois	r=0.94	20yrs	287
GMO use in cotton	r=0.88	23yrs	284
Google searches for 'Panama Canal'	r=0.89	19yrs	280
Gasoline pumped in Germany	r=0.88	32yrs	278
The marriage rate in Virginia	r=0.92	23yrs	277
The number of CEOs in Kentucky	r=0.93	20yrs	277
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.88	22yrs	277
The number of telemarketers in New Jersey	r=0.93	20yrs	267
The marriage rate in Alabama	r=0.91	23yrs	266
Fossil fuel use in Slovakia	r=0.86	29yrs	266
Google searches for 'Britney Spears'	r=0.89	15yrs	266
The number of typists in New Jersey	r=0.94	20yrs	257
The marriage rate in Kansas	r=0.91	23yrs	256
Petroluem consumption in Uzbekistan	r=0.88	30yrs	256
Google searches for 'oprah winfrey'	r=0.85	19yrs	254
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 Verizon	r=0.78	28yrs	248
The number of floral designers in North Carolina	r=0.94	20yrs	247
The marriage rate in South Carolina	r=0.91	23yrs	246
Automotive recalls for issues with Vehicle Speed Control	r=0.65	48yrs	246
Customer satisfaction with Frontier Communications	r=0.77	28yrs	246
The number of CEOs in South Carolina	r=0.93	20yrs	237
The marriage rate in West Virginia	r=0.91	23yrs	236
Petroluem consumption in Serbia	r=0.87	16yrs	231
The divorce rate in Ohio	r=0.9	23yrs	226
The number of brickmasons in Alabama	r=0.93	20yrs	226
The number of sewing machine operators in Alabama	r=0.93	20yrs	216
The number of telemarketers in California	r=0.92	20yrs	206
Violent crime rates	r=0.68	38yrs	198
The number of cooks, short order in Indiana	r=0.93	20yrs	196
The number of typists in Iowa	r=0.93	20yrs	186
The divorce rate in Kentucky	r=0.9	23yrs	186
The number of file clerks in Maryland	r=0.93	20yrs	176
The marriage rate in Arizona	r=0.9	23yrs	174
The number of typists in Michigan	r=0.93	20yrs	166
The divorce rate in Florida	r=0.89	23yrs	164
The divorce rate in Oregon	r=0.89	23yrs	154
Electricity generation in U.S. Virgin Islands	r=0.85	42yrs	142
Fossil fuel use in U.S. Virgin Islands	r=0.85	42yrs	132
Fossil fuel use in Greenland	r=0.84	42yrs	120
Gasoline pumped in Denmark	r=0.84	43yrs	108
Kerosene used in Japan	r=0.83	43yrs	97
Fossil fuel use in Denmark	r=0.81	42yrs	86
Biomass power generated in Jamaica	r=0.81	42yrs	76

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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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