Top variables that correlate with Popularity of the first name Symone

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

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Latvia	r=0.92	31yrs	384
The divorce rate in Kentucky	r=0.95	23yrs	383
The number of career/technical education teachers, secondary school in Kansas	r=0.95	13yrs	382
The divorce rate in Florida	r=0.91	23yrs	377
The divorce rate in Idaho	r=0.91	23yrs	377
Viewership count of American Idol Season Finale	r=0.9	21yrs	376
Milk consumption	r=0.92	32yrs	375
Cottage cheese consumption	r=0.93	32yrs	375
Cigarette Smoking Rate for US adults	r=0.91	21yrs	374
US production of fluid beverage milk	r=0.9	22yrs	373
US music album sales	r=0.92	16yrs	370
United States music album sales	r=0.92	16yrs	370
Arson in Iowa	r=0.92	22yrs	364
The number of human resources assistants in District of Columbia	r=0.94	20yrs	357
The number of data entry keyers in Kansas	r=0.94	20yrs	357
US household spending on mortgage interest and charges	r=0.92	23yrs	357
US household spending on postage and stationery	r=0.91	23yrs	356
US birth rates of triplets or more	r=0.9	20yrs	348
The divorce rate in Colorado	r=0.9	23yrs	346
Jet fuel used in Ukraine	r=0.88	30yrs	346
Kerosene used in Kazakhstan	r=0.87	30yrs	345
Total length of LockPickingLawyer YouTube videos	r=0.94	8yrs	341
U.S. intercountry adoptions	r=0.87	23yrs	340
GMO use in corn grown in Texas	r=0.93	18yrs	340
Physical album shipment volume in the United States	r=0.85	24yrs	338
GMO use in cotton in Texas	r=0.9	23yrs	337
Google searches for 'desktop background'	r=0.89	16yrs	337
The divorce rate in Delaware	r=0.9	23yrs	336
GMO use in cotton in Tennessee	r=0.93	18yrs	336
Google searches for 'oprah winfrey'	r=0.86	19yrs	336
Burglaries in Puerto Rico	r=0.9	24yrs	332
The number of typists in Oregon	r=0.94	20yrs	327
The divorce rate in Maine	r=0.9	23yrs	326
Arson in Idaho	r=0.86	22yrs	324
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	323
US household spending on prescription drugs	r=0.89	23yrs	322
US household spending on clothin for women	r=0.87	23yrs	320
Average views of Numberphile YouTube videos	r=0.91	12yrs	320
US household spending on fresh milk and cream	r=0.86	23yrs	318
The number of postal service machine operators in Wyoming	r=0.94	20yrs	317
The divorce rate in Virginia	r=0.9	23yrs	316
Liquefied petroleum gas used in Belarus	r=0.86	30yrs	314
US average milk-fat content of cottage cheese	r=0.91	22yrs	312
Votes for Libertarian Senators in Alabama	r=0.96	6yrs	312
The divorce rate in Washington	r=0.9	23yrs	306
The number of recreational therapists in Connecticut	r=0.93	20yrs	306
Pirate attacks globally	r=0.88	14yrs	306
GMO use in corn grown in North Dakota	r=0.9	18yrs	305
Petroluem consumption in Germany	r=0.85	32yrs	304
The number of computer programmers in Michigan	r=0.92	20yrs	296
Gasoline pumped in Lithuania	r=0.85	31yrs	293
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.89	22yrs	290
The number of postal service machine operators in Montana	r=0.93	20yrs	286
GMO use in cotton	r=0.89	23yrs	286
Frozen yogurt consumption	r=0.88	32yrs	278
The number of recreational therapists in New York	r=0.93	20yrs	276
Geothermal power generated in Austria	r=0.87	17yrs	275
GMO use in cotton	r=0.87	23yrs	272
The number of library technicians in Pennsylvania	r=0.93	20yrs	266
The divorce rate in Mississippi	r=0.9	23yrs	266
The number of bill collectors in Washington	r=0.92	20yrs	256
The divorce rate in Wisconsin	r=0.9	23yrs	256
NASA's budget appropriation	r=0.81	46yrs	254
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.89	22yrs	248
Customer satisfaction with Whirlpool	r=0.78	28yrs	248
GMO use in corn grown in Kansas	r=0.89	23yrs	248
The number of telemarketers in West Virginia	r=0.92	20yrs	246
The divorce rate in Arkansas	r=0.89	23yrs	244
Customer satisfaction with Verizon	r=0.75	28yrs	243
GMO use in corn grown in Missouri	r=0.89	23yrs	238
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	22yrs	237
Ticket sales for Baltimore Orioles games	r=0.73	43yrs	235
The number of postmasters in Alabama	r=0.92	20yrs	234
The divorce rate in Missouri	r=0.89	23yrs	234
Carjackings in the US	r=0.79	27yrs	234
GMO use in corn	r=0.89	23yrs	228
US average milk-fat content of frozen dairy products	r=0.88	22yrs	227
The number of typists in Alabama	r=0.92	20yrs	224
The divorce rate in North Carolina	r=0.89	23yrs	224
GMO use in corn grown in Minnesota	r=0.87	23yrs	216
The number of bill collectors in Illinois	r=0.91	20yrs	214
The divorce rate in Texas	r=0.89	23yrs	214
GMO use in corn grown in Wisconsin	r=0.87	23yrs	206
The number of telemarketers in Iowa	r=0.91	20yrs	204
The divorce rate in West Virginia	r=0.89	23yrs	204
The number of postal service machine operators in Iowa	r=0.92	20yrs	194
The divorce rate in Wyoming	r=0.89	23yrs	194
GMO use in corn grown in Illinois	r=0.86	23yrs	194
The number of postmasters in Kentucky	r=0.92	20yrs	184
GMO use in corn grown in Nebraska	r=0.86	23yrs	184
The divorce rate in Michigan	r=0.88	23yrs	182
The number of postmasters in Maine	r=0.92	20yrs	174
GMO use in corn grown in Texas	r=0.89	18yrs	174
The divorce rate in New Hampshire	r=0.88	23yrs	172
Gasoline pumped in Germany	r=0.84	32yrs	168
The number of postmasters in Maryland	r=0.92	20yrs	164
The divorce rate in Vermont	r=0.88	23yrs	162
Gasoline pumped in Finland	r=0.76	43yrs	156
The marriage rate in Alabama	r=0.88	23yrs	151
Petroluem consumption in Ukraine	r=0.84	30yrs	146
Gasoline pumped in Luxembourg	r=0.75	43yrs	135

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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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