Top variables that correlate with Popularity of the first name Nigel

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

Variable	Correlation	Years	Sys. Score
Robberies in South Carolina	r=0.98	38yrs	418
Robberies in North Carolina	r=0.95	38yrs	414
The divorce rate in Kentucky	r=0.95	23yrs	413
United States music album sales	r=0.97	16yrs	408
Google searches for 'desktop background'	r=0.95	16yrs	406
Gasoline pumped in Kosovo	r=0.96	14yrs	402
The number of computer programmers in Oklahoma	r=0.98	20yrs	394
Gasoline pumped in Italy	r=0.91	43yrs	394
Gasoline pumped in Spain	r=0.91	43yrs	394
The number of procurement clerks in Alabama	r=0.98	20yrs	393
The number of data entry keyers in Minnesota	r=0.98	20yrs	393
US birth rates of triplets or more	r=0.91	20yrs	380
The divorce rate in Maine	r=0.93	23yrs	380
The divorce rate in New Hampshire	r=0.93	23yrs	380
Cigarette Smoking Rate for US adults	r=0.94	21yrs	378
Robberies in Pennsylvania	r=0.91	38yrs	378
Physical album shipment volume in the United States	r=0.91	24yrs	376
Milk consumption	r=0.93	32yrs	376
Sherbet consumption	r=0.92	32yrs	374
GMO use in corn grown in Texas	r=0.96	18yrs	374
US production of fluid beverage milk	r=0.9	22yrs	373
Google searches for 'shook'	r=0.9	19yrs	372
The number of file clerks in Mississippi	r=0.98	20yrs	363
Petroluem consumption in Germany	r=0.94	32yrs	358
GMO use in cotton	r=0.91	23yrs	358
US household spending on mortgage interest and charges	r=0.93	23yrs	358
US household spending on clothing	r=0.93	23yrs	358
US household spending on clothin for women	r=0.93	23yrs	358
How geeky LockPickingLawyer YouTube video titles are	r=0.98	8yrs	357
US household spending on postage and stationery	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.85	21yrs	354
The number of file clerks in New York	r=0.98	20yrs	353
Master's degrees awarded in gender studies	r=0.96	10yrs	353
Master's degrees awarded in linguistics	r=0.96	10yrs	353
Global Per Capita Rice Consumption	r=0.91	20yrs	352
Carjackings in the US	r=0.87	27yrs	351
The divorce rate in North Carolina	r=0.93	23yrs	350
Gasoline pumped in Latvia	r=0.94	31yrs	346
Robberies in Mississippi	r=0.9	38yrs	346
Viewership count of American Idol Season Finale	r=0.88	21yrs	344
The number of computer programmers in Florida	r=0.96	20yrs	342
U.S. intercountry adoptions	r=0.89	23yrs	342
The divorce rate in Virginia	r=0.93	23yrs	340
Robberies in Virginia	r=0.9	38yrs	336
The number of telemarketers in Massachusetts	r=0.96	20yrs	332
The divorce rate in Wyoming	r=0.93	23yrs	330
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	328
Robberies in Alabama	r=0.9	38yrs	326
Geothermal power generated in Austria	r=0.93	17yrs	324
The number of counter and rental clerks in Minnesota	r=0.97	20yrs	322
The marriage rate in Alaska	r=0.93	23yrs	318
US average milk-fat content of cottage cheese	r=0.94	22yrs	316
The number of computer programmers in New York	r=0.96	20yrs	312
The marriage rate in Idaho	r=0.93	23yrs	308
Arson in Iowa	r=0.94	22yrs	306
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	304
The number of telemarketers in North Dakota	r=0.96	20yrs	302
Gasoline pumped in Switzerland	r=0.89	43yrs	301
The marriage rate in Louisiana	r=0.93	23yrs	298
Arson in Idaho	r=0.92	22yrs	294
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	293
The number of library technicians in Pennsylvania	r=0.97	20yrs	292
The marriage rate in Wyoming	r=0.93	23yrs	288
Fossil fuel use in Greenland	r=0.86	42yrs	288
US average milk-fat content of frozen dairy products	r=0.92	22yrs	283
The number of legislators in South Carolina	r=0.96	20yrs	282
The divorce rate in Arkansas	r=0.92	23yrs	278
Electricity generation in U.S. Virgin Islands	r=0.86	42yrs	278
The number of legislators in Tennessee	r=0.96	20yrs	272
The divorce rate in Delaware	r=0.92	23yrs	268
Fossil fuel use in U.S. Virgin Islands	r=0.86	42yrs	268
The number of bill collectors in Virginia	r=0.96	20yrs	262
The divorce rate in Florida	r=0.92	23yrs	258
Gasoline pumped in Denmark	r=0.87	43yrs	258
Robberies in Arizona	r=0.89	38yrs	255
The number of bill collectors in Washington	r=0.96	20yrs	252
The divorce rate in Mississippi	r=0.92	23yrs	248
Gasoline pumped in Finland	r=0.87	43yrs	248
Robberies in Arkansas	r=0.88	38yrs	244
The number of switchboard operators in Arizona	r=0.96	20yrs	240
The divorce rate in Missouri	r=0.92	23yrs	238
Arson in Missouri	r=0.87	38yrs	232
The number of conveyor operators in Arkansas	r=0.96	20yrs	230
The divorce rate in Nevada	r=0.92	23yrs	228
Nuclear power generation in Germany	r=0.86	31yrs	228
Arson in Pennsylvania	r=0.87	38yrs	222
The number of recreational therapists in Connecticut	r=0.96	20yrs	220
The divorce rate in Oregon	r=0.92	23yrs	218
Gasoline pumped in Germany	r=0.87	32yrs	217
Burglaries in North Carolina	r=0.87	38yrs	212
The number of typists in Delaware	r=0.96	20yrs	210
The marriage rate in Alabama	r=0.92	23yrs	207
Gasoline pumped in Slovenia	r=0.87	31yrs	206
Motor vehicle thefts in Georgia	r=0.87	38yrs	202
The number of CEOs in Massachusetts	r=0.96	19yrs	200
The marriage rate in Arkansas	r=0.92	23yrs	197
Gasoline pumped in Lithuania	r=0.85	31yrs	193
Robberies in Maryland	r=0.87	38yrs	192
The marriage rate in Kansas	r=0.92	23yrs	187
Robberies in Tennessee	r=0.87	38yrs	182

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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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