Top variables that correlate with Popularity of the first name Jamesha

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

Variable	Correlation	Years	Has img?
Mizuho Financial Group's stock price (MFG)	r=0.9	11yrs	Yes!

Popularity of the first name Jamesha also correlates with...

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.96	23yrs	420
Gasoline pumped in Germany	r=0.95	27yrs	414
The marriage rate in Nevada	r=0.96	19yrs	409
Gasoline pumped in Spain	r=0.91	38yrs	389
Gasoline pumped in Turkiye	r=0.9	38yrs	388
The number of brickmasons in Alabama	r=0.97	15yrs	386
The number of prepress technicians and workers in Connecticut	r=0.97	15yrs	386
The number of switchboard operators in Georgia	r=0.97	15yrs	386
US birth rates of triplets or more	r=0.93	16yrs	379
Disney movies released	r=0.91	18yrs	378
The marriage rate in Arizona	r=0.95	19yrs	378
The marriage rate in Virginia	r=0.95	19yrs	378
Motor vehicle thefts in Louisiana	r=0.93	33yrs	376
Physical album shipment volume in the United States	r=0.93	19yrs	374
GMO use in cotton in North Carolina	r=0.97	18yrs	372
Robberies in South Carolina	r=0.9	33yrs	372
Google searches for 'black holes'	r=0.93	14yrs	371
US milk fat used to produce fluid beverage milk	r=0.91	18yrs	370
Google searches for 'learn spanish'	r=0.92	14yrs	370
GMO use in cotton in Alabama	r=0.97	13yrs	368
Google searches for 'panama canal'	r=0.9	14yrs	366
Customer satisfaction with Verizon	r=0.89	24yrs	365
Number of edits to the Wikipedia article for Thanksgiving	r=0.93	11yrs	361
The number of prepress technicians and workers in Illinois	r=0.97	15yrs	356
US household spending on books	r=0.95	18yrs	356
US household spending on beef	r=0.94	18yrs	355
ST Microelectronics' stock price (STM)	r=0.88	16yrs	354
US household spending on clothing	r=0.93	18yrs	354
Petroluem consumption in Germany	r=0.94	27yrs	352
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	18yrs	352
US average milk-fat content of frozen dairy products	r=0.94	18yrs	352
US household spending on pork	r=0.91	18yrs	350
US household spending on clothing for men	r=0.91	18yrs	350
The number of file clerks in Michigan	r=0.97	15yrs	346
The marriage rate in Idaho	r=0.94	19yrs	346
The number of microbiologists in West Virginia	r=0.96	15yrs	336
The marriage rate in Kentucky	r=0.94	19yrs	336
GMO use in corn grown in South Dakota	r=0.91	18yrs	336
Ticket sales for Arizona Diamondbacks games	r=0.86	20yrs	336
Master's degrees awarded in gender studies	r=0.98	6yrs	332
Associates degrees awarded in information sciences	r=0.97	7yrs	330
Liquefied petroleum gas used in Greenland	r=0.91	18yrs	329
Associates degrees awarded in Health professions	r=0.95	7yrs	327
The number of meter readers, utilities in Wisconsin	r=0.97	15yrs	326
The marriage rate in Arkansas	r=0.93	19yrs	324
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	18yrs	320
US household spending on meats, poultry, fish, and eggs	r=0.89	18yrs	318
US household spending on processed fruits	r=0.89	18yrs	318
The number of property association managers in Alabama	r=0.96	15yrs	315
The marriage rate in Ohio	r=0.93	19yrs	314
Arson in Pennsylvania	r=0.9	33yrs	312
Gasoline pumped in Italy	r=0.89	38yrs	306
The number of brokerage clerks in Illinois	r=0.96	15yrs	305
The marriage rate in Tennessee	r=0.93	19yrs	304
GMO use in corn grown in Texas	r=0.93	13yrs	304
Motor vehicle thefts in Indiana	r=0.89	33yrs	300
Associates degrees awarded in law enforcement	r=0.95	7yrs	297
Milk consumption	r=0.89	28yrs	296
The number of switchboard operators in Indiana	r=0.96	15yrs	295
The marriage rate in Texas	r=0.93	19yrs	294
Kerosene used in Philippines	r=0.87	38yrs	293
Arson in Nebraska	r=0.87	33yrs	287
The number of coil winders, tapers, and finishers in Indiana	r=0.96	15yrs	285
The marriage rate in Missouri	r=0.92	19yrs	283
Frozen yogurt consumption	r=0.87	28yrs	282
Kerosene used in Belgium	r=0.86	34yrs	278
Motor vehicle thefts in Wisconsin	r=0.86	33yrs	276
The number of typists in Iowa	r=0.96	15yrs	275
The marriage rate in South Carolina	r=0.92	19yrs	273
Processed cheese consumption	r=0.87	23yrs	267
Gasoline pumped in North Macedonia	r=0.9	26yrs	266
Motor vehicle thefts in Florida	r=0.86	33yrs	266
The number of prepress technicians and workers in Kansas	r=0.96	15yrs	265
The divorce rate in Alabama	r=0.91	19yrs	263
Petroluem consumption in Uzbekistan	r=0.9	26yrs	256
Robberies in Louisiana	r=0.86	33yrs	256
The number of typists in Michigan	r=0.96	15yrs	255
The divorce rate in North Carolina	r=0.91	19yrs	253
NASA's budget appropriation	r=0.8	43yrs	250
Robberies in Maryland	r=0.86	33yrs	246
The number of chemical engineers in New Mexico	r=0.96	15yrs	245
The divorce rate in Tennessee	r=0.91	19yrs	243
Gasoline pumped in Eritrea	r=0.87	24yrs	239
The number of floral designers in North Carolina	r=0.96	15yrs	235
Motor vehicle thefts in Georgia	r=0.85	33yrs	234
The marriage rate in Nebraska	r=0.91	19yrs	232
Petroluem consumption in Eritrea	r=0.86	24yrs	228
The number of laundry and dry-cleaning workers in Ohio	r=0.96	15yrs	225
Robberies in Kansas	r=0.85	33yrs	224
The marriage rate in South Dakota	r=0.91	19yrs	222
Jet fuel used in Eritrea	r=0.86	24yrs	218
The number of proofreaders in Pennsylvania	r=0.96	15yrs	215
The divorce rate in Illinois	r=0.9	19yrs	212
Gasoline pumped in Lithuania	r=0.85	26yrs	208
The number of furniture finishers in Tennessee	r=0.96	15yrs	205
The divorce rate in New Hampshire	r=0.9	19yrs	202
The number of telephone operators in Texas	r=0.96	15yrs	195
Arson in Idaho	r=0.87	17yrs	191
The marriage rate in Alabama	r=0.9	19yrs	190
The marriage rate in Louisiana	r=0.9	19yrs	150
Violent crime rates	r=0.8	33yrs	142

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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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