Top variables that correlate with Popularity of the first name Deshawn

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

Variable	Correlation	Years	Sys. Score
Robberies in South Carolina	r=0.96	38yrs	416
Robberies in North Carolina	r=0.95	38yrs	414
Google searches for 'desktop background'	r=0.96	16yrs	408
The number of machinists in New Jersey	r=0.98	20yrs	393
The number of postmasters in Maryland	r=0.97	20yrs	392
The number of computer programmers in Michigan	r=0.96	20yrs	392
Nuclear power generation in Germany	r=0.91	31yrs	385
Gasoline pumped in Latvia	r=0.93	31yrs	385
Petroluem consumption in Germany	r=0.91	32yrs	383
Viewership count of American Idol Season Finale	r=0.93	21yrs	381
US birth rates of triplets or more	r=0.91	20yrs	380
The divorce rate in Arkansas	r=0.93	23yrs	380
The divorce rate in Kentucky	r=0.93	23yrs	380
The divorce rate in Mississippi	r=0.93	23yrs	380
U.S. intercountry adoptions	r=0.92	23yrs	377
Pirate attacks globally	r=0.94	14yrs	376
Robberies in Mississippi	r=0.9	38yrs	376
Cigarette Smoking Rate for US adults	r=0.92	21yrs	375
Milk consumption	r=0.92	32yrs	375
Sherbet consumption	r=0.93	32yrs	375
United States music album sales	r=0.95	16yrs	374
xkcd comics published about romance	r=0.91	16yrs	374
US production of fluid beverage milk	r=0.9	22yrs	373
Google searches for 'oprah winfrey'	r=0.9	19yrs	372
The number of computer programmers in Ohio	r=0.96	20yrs	362
GMO use in cotton	r=0.92	23yrs	360
US household spending on mortgage interest and charges	r=0.94	23yrs	360
US household spending on postage and stationery	r=0.92	23yrs	357
The number of telemarketers in West Virginia	r=0.96	20yrs	352
Global Per Capita Rice Consumption	r=0.9	20yrs	351
The divorce rate in Idaho	r=0.91	23yrs	347
Geothermal power generated in Austria	r=0.94	17yrs	346
GMO use in cotton in Texas	r=0.94	23yrs	343
Physical album shipment volume in the United States	r=0.88	24yrs	342
GMO use in corn grown in Minnesota	r=0.91	23yrs	342
Popularity of the 'all your base' meme	r=0.88	17yrs	342
The number of typists in Alabama	r=0.96	20yrs	340
Google searches for 'report UFO sighting'	r=0.85	19yrs	340
Google searches for 'shook'	r=0.88	19yrs	338
The divorce rate in North Carolina	r=0.91	23yrs	337
Arson in Iowa	r=0.94	22yrs	336
The number of prepress technicians and workers in California	r=0.96	20yrs	330
The divorce rate in Wyoming	r=0.91	23yrs	327
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.94	22yrs	326
Gasoline pumped in Denmark	r=0.89	43yrs	321
The number of recreational therapists in Connecticut	r=0.96	20yrs	320
Arson in Idaho	r=0.9	22yrs	320
The marriage rate in Wyoming	r=0.9	23yrs	314
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	314
GMO use in corn	r=0.91	23yrs	312
Gasoline pumped in Finland	r=0.89	43yrs	311
The number of postmasters in Florida	r=0.96	20yrs	310
US average milk-fat content of cottage cheese	r=0.93	22yrs	304
Gasoline pumped in Portugal	r=0.89	43yrs	301
GMO use in corn grown in Texas	r=0.94	18yrs	301
The number of middle school special education teachers in Florida	r=0.96	20yrs	300
Robberies in Alabama	r=0.89	38yrs	295
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	293
The number of postal service machine operators in Idaho	r=0.96	20yrs	290
Gasoline pumped in Luxembourg	r=0.88	43yrs	290
GMO use in corn grown in Kansas	r=0.9	23yrs	290
Robberies in Pennsylvania	r=0.88	38yrs	284
US average milk-fat content of frozen dairy products	r=0.91	22yrs	282
The number of prepress technicians and workers in Iowa	r=0.96	20yrs	280
GMO use in corn grown in Nebraska	r=0.9	23yrs	280
Gasoline pumped in Spain	r=0.87	43yrs	278
The divorce rate in Florida	r=0.9	23yrs	276
The number of postmasters in Massachusetts	r=0.96	20yrs	270
GMO use in corn grown in Texas	r=0.93	18yrs	270
Motor vehicle thefts in North Carolina	r=0.86	38yrs	270
Gasoline pumped in Switzerland	r=0.87	43yrs	268
The divorce rate in Texas	r=0.9	23yrs	266
The number of counter and rental clerks in Minnesota	r=0.96	20yrs	260
Ice cream consumption	r=0.9	32yrs	260
Motor vehicle thefts in South Carolina	r=0.85	38yrs	259
GMO use in corn grown in North Dakota	r=0.92	18yrs	258
Kerosene used in India	r=0.85	42yrs	254
The marriage rate in Alaska	r=0.9	23yrs	254
The number of carpenters in Mississippi	r=0.96	20yrs	250
US production of cottage cheese	r=0.87	22yrs	248
GMO use in cotton in Tennessee	r=0.94	18yrs	248
The divorce rate in Colorado	r=0.89	23yrs	244
The number of postal service machine operators in Montana	r=0.96	20yrs	240
Gasoline pumped in Slovenia	r=0.9	31yrs	240
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.88	22yrs	238
The divorce rate in Maine	r=0.89	23yrs	234
The number of postmasters in New Hampshire	r=0.96	20yrs	230
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	227
Fossil fuel use in Slovakia	r=0.86	29yrs	226
The divorce rate in Virginia	r=0.89	23yrs	224
The number of data entry keyers in New Mexico	r=0.96	20yrs	220
US dairy skim solids used to produce cottage cheese	r=0.87	22yrs	217
The divorce rate in Wisconsin	r=0.89	23yrs	214
The number of postmasters in North Carolina	r=0.96	20yrs	210
The marriage rate in Alabama	r=0.89	23yrs	202
The number of postal service machine operators in North Dakota	r=0.96	20yrs	200
The marriage rate in Idaho	r=0.89	23yrs	192
The divorce rate in Missouri	r=0.88	23yrs	182
The divorce rate in Alabama	r=0.87	23yrs	171
The divorce rate in Delaware	r=0.87	23yrs	161
The divorce rate in Michigan	r=0.87	23yrs	151

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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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