Top variables that correlate with Popularity of the first name Jaimie

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

Variable	Correlation	Years	Has img?
Google searches for 'Britney Spears'	r=0.9	15yrs	No

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

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Alabama	r=0.97	23yrs	414
The marriage rate in Nevada	r=0.97	23yrs	414
The divorce rate in Alabama	r=0.96	23yrs	414
Liquefied petroleum gas used in Greenland	r=0.96	22yrs	410
Google searches for 'desktop background'	r=0.97	16yrs	409
United States music album sales	r=0.96	16yrs	406
The number of carpenters in Mississippi	r=0.98	20yrs	393
Carjackings in the US	r=0.94	27yrs	392
The number of file clerks in Arkansas	r=0.97	20yrs	392
The number of CEOs in Ohio	r=0.96	20yrs	392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.97	22yrs	390
US average milk-fat content of frozen dairy products	r=0.97	22yrs	390
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.96	22yrs	389
Petroluem consumption in Ukraine	r=0.94	30yrs	386
Jet fuel used in Ukraine	r=0.94	30yrs	386
The marriage rate in Idaho	r=0.96	23yrs	383
US birth rates of triplets or more	r=0.93	20yrs	383
Burglaries in Texas	r=0.94	38yrs	382
Popularity of the 'all your base' meme	r=0.94	17yrs	382
Arson in New York	r=0.93	38yrs	381
Google searches for 'report UFO sighting'	r=0.91	19yrs	379
Google searches for 'learn spanish'	r=0.94	19yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
The divorce rate in Tennessee	r=0.95	23yrs	373
Cigarette Smoking Rate for US adults	r=0.9	21yrs	372
GMO use in cotton in Tennessee	r=0.96	18yrs	371
GMO use in cotton	r=0.94	23yrs	363
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
AIG's stock price (AIG)	r=0.89	21yrs	360
The number of sewing machine operators in Alabama	r=0.96	20yrs	360
Air pollution in Santa Maria, California	r=0.92	42yrs	359
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on books	r=0.93	23yrs	358
US household spending on clothing	r=0.92	23yrs	357
Citigroup's stock price (C)	r=0.86	21yrs	356
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
US household spending on prescription drugs	r=0.91	23yrs	356
Air pollution in Santa Maria, California	r=0.91	41yrs	356
US household spending on clothing for men	r=0.9	23yrs	354
Petroluem consumption in Belarus	r=0.92	30yrs	352
Burglaries in New York	r=0.93	38yrs	351
The number of conveyor operators in Alabama	r=0.96	20yrs	350
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	348
Google searches for 'oprah winfrey'	r=0.9	19yrs	342
Burglaries in Connecticut	r=0.93	38yrs	341
The number of tool and die makers in Arkansas	r=0.96	20yrs	340
Geothermal power generated in Austria	r=0.94	17yrs	336
The marriage rate in Wyoming	r=0.95	23yrs	332
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	331
The number of telemarketers in California	r=0.95	20yrs	330
The divorce rate in Kentucky	r=0.94	23yrs	322
Motor vehicle thefts in New Jersey	r=0.93	38yrs	321
The number of postal service machine operators in Connecticut	r=0.96	20yrs	320
Jet fuel used in Kosovo	r=0.93	13yrs	317
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	314
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	310
The marriage rate in Arkansas	r=0.94	23yrs	310
Motor vehicle thefts in Rhode Island	r=0.92	38yrs	310
US average milk-fat content of cottage cheese	r=0.91	22yrs	302
Jet fuel used in Afghanistan	r=0.89	42yrs	300
The number of couriers and messengers in Indiana	r=0.96	20yrs	300
The marriage rate in Tennessee	r=0.94	23yrs	300
Motor vehicle thefts in Texas	r=0.92	38yrs	300
Kerosene used in Pakistan	r=0.89	42yrs	290
The number of postal service machine operators in Iowa	r=0.96	20yrs	290
The divorce rate in North Carolina	r=0.93	23yrs	290
Motor vehicle thefts in Texas	r=0.92	38yrs	290
The number of postal service machine operators in Kansas	r=0.96	20yrs	280
Motor vehicle thefts in Texas	r=0.92	38yrs	280
The marriage rate in South Dakota	r=0.93	23yrs	278
Kerosene used in Egypt	r=0.87	42yrs	277
The number of data entry keyers in Kentucky	r=0.96	20yrs	270
Burglaries in Florida	r=0.91	38yrs	268
The marriage rate in Kentucky	r=0.92	23yrs	267
Jet fuel used in French Polynesia	r=0.87	42yrs	267
The number of postal service machine operators in Maine	r=0.96	20yrs	260
Burglaries in Rhode Island	r=0.91	38yrs	258
The marriage rate in Virginia	r=0.92	23yrs	257
Petroluem consumption in Saint Pierre and Miquelon	r=0.85	42yrs	254
The number of file clerks in Maryland	r=0.96	20yrs	250
Motor vehicle thefts in New York	r=0.91	38yrs	248
The divorce rate in Mississippi	r=0.91	23yrs	247
Kerosene used in French Polynesia	r=0.89	32yrs	240
The number of computer programmers in Michigan	r=0.95	20yrs	240
Robberies in New York	r=0.91	38yrs	238
The divorce rate in New Hampshire	r=0.91	23yrs	237
The number of conveyor operators in New Jersey	r=0.96	20yrs	230
Robberies in Oregon	r=0.91	38yrs	228
Petroluem consumption in Azerbaijan	r=0.89	30yrs	228
The marriage rate in Ohio	r=0.91	23yrs	226
The number of library assistants in Oregon	r=0.96	20yrs	220
Motor vehicle thefts in Oklahoma	r=0.9	38yrs	216
The number of typists in Pennsylvania	r=0.96	20yrs	210
The number of postal service machine operators in Washington	r=0.96	20yrs	200
Burglary rates in the US	r=0.89	38yrs	195
The divorce rate in Florida	r=0.9	23yrs	186
Arson in Idaho	r=0.92	22yrs	184
The divorce rate in Washington	r=0.9	23yrs	176
Arson in Iowa	r=0.92	22yrs	174

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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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