Top variables that correlate with Popularity of the first name Rashawn

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.91	38yrs	418
Google searches for 'desktop background'	r=0.97	16yrs	409
Pirate attacks globally	r=0.95	14yrs	407
The number of telemarketers in North Dakota	r=0.96	20yrs	392
The number of telemarketers in West Virginia	r=0.96	20yrs	392
The number of legislators in South Carolina	r=0.95	20yrs	390
Robberies in Virginia	r=0.95	38yrs	384
Petroluem consumption in Germany	r=0.92	32yrs	384
Motor vehicle thefts in Florida	r=0.94	38yrs	382
Gasoline pumped in Germany	r=0.9	32yrs	382
The divorce rate in Mississippi	r=0.93	23yrs	380
The divorce rate in Wyoming	r=0.93	23yrs	380
Gasoline pumped in Latvia	r=0.9	31yrs	380
Viewership count of American Idol Season Finale	r=0.91	21yrs	378
Milk consumption	r=0.94	32yrs	378
The divorce rate in Kentucky	r=0.92	23yrs	378
Physical album shipment volume in the United States	r=0.9	24yrs	375
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
Google searches for 'shook'	r=0.91	19yrs	373
xkcd comics published about romance	r=0.9	16yrs	373
Cigarette Smoking Rate for US adults	r=0.9	21yrs	372
GMO use in corn grown in Texas	r=0.95	18yrs	372
GMO use in cotton in Tennessee	r=0.96	18yrs	371
United States music album sales	r=0.92	16yrs	370
The number of prepress technicians and workers in Texas	r=0.96	20yrs	360
Remaining Forest Cover in the Brazilian Amazon	r=0.88	36yrs	360
Asthma prevalence in American children	r=0.86	17yrs	356
US household spending on clothin for women	r=0.91	23yrs	356
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	353
Robberies in Maryland	r=0.94	38yrs	352
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	352
The number of typists in Delaware	r=0.95	20yrs	348
The divorce rate in North Carolina	r=0.92	23yrs	348
US birth rates of triplets or more	r=0.88	20yrs	346
Arson in Missouri	r=0.93	38yrs	341
Popularity of the 'all your base' meme	r=0.87	17yrs	341
GMO use in corn grown in North Dakota	r=0.93	18yrs	340
The number of file clerks in Mississippi	r=0.95	20yrs	338
The marriage rate in Wyoming	r=0.92	23yrs	337
U.S. intercountry adoptions	r=0.85	23yrs	336
Gasoline pumped in Kosovo	r=0.9	14yrs	334
Arson in North Carolina	r=0.93	38yrs	331
The number of prepress technicians and workers in North Dakota	r=0.96	18yrs	328
The divorce rate in Alabama	r=0.91	23yrs	327
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	322
Motor vehicle thefts in Indiana	r=0.93	38yrs	321
Gasoline pumped in United Kingdom	r=0.89	43yrs	321
The divorce rate in Missouri	r=0.91	23yrs	317
The number of executive administrative assistants in Georgia	r=0.96	13yrs	313
Motor vehicle thefts in Georgia	r=0.92	38yrs	310
Fossil fuel use in Greenland	r=0.87	42yrs	310
US average milk-fat content of frozen dairy products	r=0.9	22yrs	310
The divorce rate in Arkansas	r=0.9	23yrs	306
Google searches for 'learn spanish'	r=0.86	19yrs	306
GMO use in corn grown in Texas	r=0.9	18yrs	305
The number of executive administrative assistants in West Virginia	r=0.96	13yrs	303
Robberies in Louisiana	r=0.92	38yrs	300
Gasoline pumped in Spain	r=0.88	43yrs	300
The divorce rate in Oregon	r=0.9	23yrs	296
The number of executive administrative assistants in Kentucky	r=0.95	13yrs	292
Arson in Pennsylvania	r=0.91	38yrs	288
Gasoline pumped in Italy	r=0.87	43yrs	288
Frozen yogurt consumption	r=0.88	32yrs	288
The divorce rate in Virginia	r=0.9	23yrs	286
The number of executive administrative assistants in Michigan	r=0.95	13yrs	282
Arson in Texas	r=0.91	38yrs	278
US production of fluid beverage milk	r=0.86	22yrs	277
The divorce rate in Oklahoma	r=0.9	18yrs	270
Burglaries in North Carolina	r=0.91	38yrs	268
Gasoline pumped in Lithuania	r=0.88	31yrs	268
Cottage cheese consumption	r=0.86	32yrs	264
Motor vehicle thefts in Pennsylvania	r=0.91	38yrs	258
Carjackings in the US	r=0.88	27yrs	257
Petroluem consumption in Uzbekistan	r=0.86	30yrs	254
Sherbet consumption	r=0.85	32yrs	253
The number of computer programmers in Michigan	r=0.95	20yrs	250
Robberies in Kansas	r=0.91	38yrs	248
The number of CEOs in Massachusetts	r=0.95	19yrs	239
Robberies in Missouri	r=0.91	38yrs	238
Geothermal power generated in Austria	r=0.89	17yrs	238
The divorce rate in Idaho	r=0.9	23yrs	236
Robberies in Pennsylvania	r=0.91	38yrs	228
The number of switchboard operators in Arizona	r=0.95	20yrs	228
The divorce rate in Maine	r=0.9	23yrs	226
Liquefied petroleum gas used in Greenland	r=0.86	22yrs	226
Robberies in Tennessee	r=0.91	38yrs	218
The number of postmasters in Maryland	r=0.95	20yrs	218
The marriage rate in South Dakota	r=0.9	23yrs	214
The number of switchboard operators in Maryland	r=0.95	20yrs	208
The divorce rate in Florida	r=0.89	23yrs	204
The number of postmasters in New Hampshire	r=0.95	20yrs	198
Motor vehicle thefts	r=0.89	38yrs	195
The divorce rate in Illinois	r=0.89	23yrs	194
The number of computer programmers in New York	r=0.94	20yrs	188
Robberies in the US	r=0.89	38yrs	185
The divorce rate in Nevada	r=0.89	23yrs	184
The number of file clerks in New York	r=0.95	20yrs	178
The divorce rate in New Hampshire	r=0.89	23yrs	174
The number of library technicians in Pennsylvania	r=0.95	20yrs	168
The divorce rate in Tennessee	r=0.89	23yrs	164
The marriage rate in Alabama	r=0.89	23yrs	152

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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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