Top variables that correlate with Popularity of the first name Arlene

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

Variable	Correlation	Years	Sys. Score
The distance between Neptune and the Sun	r=0.96	48yrs	420
The distance between Neptune and Earth	r=0.96	48yrs	420
The distance between Neptune and the moon	r=0.96	48yrs	420
Burglaries in Utah	r=0.96	38yrs	416
Physical album shipment volume in the United States	r=0.96	24yrs	414
Arson in Texas	r=0.95	38yrs	414
The marriage rate in Idaho	r=0.96	23yrs	413
The divorce rate in Alabama	r=0.95	23yrs	413
Arson in United States	r=0.94	38yrs	402
Kerosene used globally	r=0.95	42yrs	399
Gasoline pumped in Austria	r=0.93	43yrs	397
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
Gasoline pumped in France	r=0.92	43yrs	396
The number of meter readers, utilities in Alabama	r=0.97	20yrs	392
The number of telemarketers in California	r=0.96	20yrs	392
The number of prepress technicians and workers in Massachusetts	r=0.96	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.96	22yrs	389
US average milk-fat content of frozen dairy products	r=0.95	22yrs	388
US birth rates of triplets or more	r=0.94	20yrs	384
The marriage rate in Nevada	r=0.95	23yrs	382
Google searches for 'snoop dog'	r=0.95	19yrs	379
U.S. intercountry adoptions	r=0.92	23yrs	377
Google searches for 'desktop background'	r=0.95	16yrs	376
Google searches for 'oprah winfrey'	r=0.93	19yrs	376
NASA's budget as a percentage of the total US Federal Budget	r=0.89	48yrs	374
Viewership count for Days of Our Lives	r=0.9	47yrs	372
United States music album sales	r=0.93	16yrs	372
Burglary rates in the US	r=0.91	38yrs	368
GMO use in cotton	r=0.94	23yrs	363
Air pollution in Washington, D.C.	r=0.92	43yrs	363
Kerosene used in Peru	r=0.9	42yrs	362
Air pollution in Baltimore, Maryland	r=0.92	43yrs	360
Air pollution in Oxnard, California	r=0.92	43yrs	360
The number of switchboard operators in New Hampshire	r=0.96	20yrs	360
AIG's stock price (AIG)	r=0.87	21yrs	358
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothin for women	r=0.91	23yrs	356
Motor vehicle thefts	r=0.9	38yrs	356
The distance between Neptune and Mercury	r=0.93	48yrs	355
Milk consumption	r=0.95	32yrs	350
The marriage rate in Alabama	r=0.94	23yrs	350
The number of typists in Ohio	r=0.96	20yrs	350
Petroluem consumption in Germany	r=0.93	32yrs	346
Google searches for 'shook'	r=0.92	19yrs	344
The marriage rate in Arkansas	r=0.94	23yrs	340
The number of prepress technicians and workers in Pennsylvania	r=0.96	20yrs	340
Ice cream consumption	r=0.95	32yrs	338
Google searches for 'learn spanish'	r=0.92	19yrs	334
Arson in Maryland	r=0.95	38yrs	334
Nuclear power generation in Germany	r=0.9	31yrs	334
The marriage rate in Wyoming	r=0.94	23yrs	330
The number of counter and rental clerks in Utah	r=0.96	20yrs	330
Air pollution in Philadelphia, Pennsylvania	r=0.91	43yrs	328
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	324
Arson in New Jersey	r=0.95	38yrs	324
Gasoline pumped in Germany	r=0.9	32yrs	322
The divorce rate in North Carolina	r=0.93	23yrs	320
The number of floral designers in Indiana	r=0.95	20yrs	318
Burglaries in Hawaii	r=0.95	38yrs	314
Sherbet consumption	r=0.91	32yrs	312
Gasoline pumped in Latvia	r=0.9	31yrs	310
The marriage rate in South Dakota	r=0.93	23yrs	308
The number of couriers and messengers in Indiana	r=0.95	20yrs	308
Motor vehicle thefts in Michigan	r=0.95	38yrs	304
The marriage rate in Virginia	r=0.93	23yrs	298
The number of compensation and benefits managers in Louisiana	r=0.95	19yrs	298
Liquefied petroleum gas used in Greenland	r=0.91	22yrs	293
Arson in Washington	r=0.94	38yrs	292
The divorce rate in Kentucky	r=0.92	23yrs	288
The number of credit counselors in North Dakota	r=0.95	13yrs	282
Burglaries in Maryland	r=0.94	38yrs	282
The divorce rate in Wyoming	r=0.92	23yrs	278
Petroluem consumption in Italy	r=0.87	48yrs	273
Burglaries in Nebraska	r=0.94	38yrs	272
The divorce rate in Florida	r=0.91	23yrs	267
Burglaries in Wyoming	r=0.94	38yrs	262
Jet fuel used in American Samoa	r=0.89	42yrs	260
The divorce rate in Mississippi	r=0.91	23yrs	257
Arson in Michigan	r=0.93	38yrs	251
The number of legislators in Louisiana	r=0.95	20yrs	250
Kerosene used in Thailand	r=0.89	42yrs	250
The divorce rate in Oregon	r=0.9	23yrs	246
Arson in Missouri	r=0.93	38yrs	241
Kerosene used in United States	r=0.88	43yrs	240
The number of bill collectors in Colorado	r=0.94	20yrs	238
The divorce rate in Washington	r=0.9	23yrs	236
Burglaries in Idaho	r=0.93	38yrs	231
The number of switchboard operators in Iowa	r=0.95	20yrs	228
Gasoline pumped in Norway	r=0.87	43yrs	228
Burglaries in Arizona	r=0.93	38yrs	221
The number of bill collectors in Maryland	r=0.94	20yrs	218
Burglaries in Illinois	r=0.92	38yrs	210
The number of file clerks in Massachusetts	r=0.95	20yrs	208
Burglaries in Kansas	r=0.92	38yrs	200
The number of postal service machine operators in New Jersey	r=0.95	20yrs	198
Burglaries in Minnesota	r=0.92	38yrs	190
The number of telemarketers in New York	r=0.94	20yrs	188
The number of CEOs in Ohio	r=0.94	20yrs	178
The number of boiler operators in Ohio	r=0.95	20yrs	168

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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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