Top variables that correlate with Popularity of the first name Jessy

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.94	38yrs	422
US birth rates of triplets or more	r=0.95	20yrs	416
Robberies in Maryland	r=0.96	38yrs	416
Robberies in the US	r=0.92	38yrs	400
The number of cooks, institution and cafeteria in Louisiana	r=0.97	20yrs	392
The number of switchboard operators in Arizona	r=0.96	20yrs	390
The number of proofreaders in Connecticut	r=0.96	20yrs	390
Carjackings in the US	r=0.9	27yrs	386
Gasoline pumped in Latvia	r=0.92	31yrs	384
The divorce rate in Kentucky	r=0.94	23yrs	382
The marriage rate in Idaho	r=0.93	23yrs	378
Cigarette Smoking Rate for US adults	r=0.93	21yrs	376
U.S. intercountry adoptions	r=0.91	23yrs	376
GMO use in cotton in Texas	r=0.96	23yrs	376
The divorce rate in Arkansas	r=0.9	23yrs	376
Milk consumption	r=0.92	32yrs	375
Frozen yogurt consumption	r=0.92	32yrs	374
Google searches for 'desktop background'	r=0.93	16yrs	373
Geothermal power generated in Austria	r=0.92	17yrs	372
Motor vehicle thefts	r=0.91	38yrs	368
United States music album sales	r=0.91	16yrs	368
Gasoline pumped in Kosovo	r=0.91	14yrs	365
GMO use in cotton	r=0.95	23yrs	364
The number of computer programmers in New York	r=0.95	20yrs	360
Remaining Forest Cover in the Brazilian Amazon	r=0.87	36yrs	358
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.94	22yrs	356
US household spending on mortgage interest and charges	r=0.91	23yrs	356
US household spending on postage and stationery	r=0.91	23yrs	356
Lloyds Banking Group's stock price (LYG)	r=0.85	21yrs	354
The number of data entry keyers in Ohio	r=0.96	20yrs	350
The divorce rate in North Carolina	r=0.9	23yrs	346
Physical album shipment volume in the United States	r=0.89	24yrs	344
GMO use in corn grown in Nebraska	r=0.91	23yrs	342
Google searches for 'oprah winfrey'	r=0.89	19yrs	340
The number of postal service machine operators in Oregon	r=0.96	20yrs	340
Google searches for 'shook'	r=0.88	19yrs	338
Robberies in Kansas	r=0.95	38yrs	334
The marriage rate in Alabama	r=0.9	23yrs	334
The number of file clerks in Pennsylvania	r=0.96	20yrs	330
Gasoline pumped in United Kingdom	r=0.86	43yrs	326
Robberies in Louisiana	r=0.95	38yrs	324
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	323
The number of switchboard operators in Alabama	r=0.95	20yrs	318
Robberies in Virginia	r=0.95	38yrs	314
US average milk-fat content of cottage cheese	r=0.92	22yrs	313
GMO use in corn grown in Texas	r=0.93	18yrs	310
Google searches for 'Britney Spears'	r=0.9	15yrs	308
The number of prepress technicians and workers in Arkansas	r=0.95	20yrs	308
Jet fuel used in Ukraine	r=0.89	30yrs	308
Motor vehicle thefts in Florida	r=0.94	38yrs	302
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	302
The number of brickmasons in Kentucky	r=0.95	20yrs	298
Petroluem consumption in Germany	r=0.87	32yrs	297
Google searches for 'learn spanish'	r=0.86	19yrs	296
The divorce rate in Wyoming	r=0.9	23yrs	296
Robberies in Missouri	r=0.94	38yrs	292
The number of file clerks in Massachusetts	r=0.95	20yrs	288
Gasoline pumped in Germany	r=0.87	32yrs	287
The marriage rate in Alaska	r=0.9	23yrs	284
Robberies in District of Columbia	r=0.94	38yrs	282
US production of fluid beverage milk	r=0.88	22yrs	280
The number of switchboard operators in Oklahoma	r=0.95	20yrs	278
Petroluem consumption in Ukraine	r=0.87	30yrs	275
The marriage rate in Wyoming	r=0.9	23yrs	274
Motor vehicle thefts in Indiana	r=0.93	38yrs	271
Cottage cheese consumption	r=0.89	32yrs	269
The number of payroll and timekeeping clerks in Wisconsin	r=0.95	20yrs	268
Petroluem consumption in Uzbekistan	r=0.87	30yrs	265
The divorce rate in Alabama	r=0.89	23yrs	264
Robberies in Texas	r=0.93	38yrs	261
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	257
NASA's budget appropriation	r=0.79	48yrs	254
The divorce rate in Maine	r=0.89	23yrs	254
Customer satisfaction with Verizon	r=0.81	28yrs	252
Customer satisfaction with Frontier Communications	r=0.81	28yrs	252
Arson in North Carolina	r=0.92	38yrs	250
Liquefied petroleum gas used in Greenland	r=0.86	22yrs	246
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.85	22yrs	244
The divorce rate in Texas	r=0.89	23yrs	244
Motor vehicle thefts in Pennsylvania	r=0.92	38yrs	240
The divorce rate in Washington	r=0.89	23yrs	234
Robberies in Illinois	r=0.92	38yrs	230
The number of CEOs in Alabama	r=0.95	20yrs	230
The marriage rate in Nevada	r=0.89	23yrs	222
Robberies in New Jersey	r=0.92	38yrs	220
The number of telemarketers in Massachusetts	r=0.95	20yrs	220
The divorce rate in Florida	r=0.88	23yrs	212
The number of computer programmers in North Carolina	r=0.95	20yrs	210
Arson in Wisconsin	r=0.91	38yrs	208
The divorce rate in Idaho	r=0.88	23yrs	202
Motor vehicle thefts in Georgia	r=0.91	38yrs	198
The number of data entry keyers in Connecticut	r=0.95	20yrs	198
The divorce rate in Virginia	r=0.88	23yrs	192
The number of postal service machine operators in Idaho	r=0.95	20yrs	188
Motor vehicle thefts in Louisiana	r=0.9	38yrs	186
The marriage rate in Louisiana	r=0.88	23yrs	181
The number of bill collectors in Maryland	r=0.94	20yrs	178
The divorce rate in Mississippi	r=0.87	23yrs	171
The number of postal service machine operators in Nebraska	r=0.95	20yrs	168
The divorce rate in New Hampshire	r=0.87	23yrs	161
The divorce rate in Oregon	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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