Top variables that correlate with Popularity of the first name Sammy

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

Variable	Correlation	Years	Sys. Score
The number of file clerks in Illinois	r=0.95	20yrs	388
The distance between Neptune and the Sun	r=0.91	48yrs	382
The distance between Neptune and Earth	r=0.91	48yrs	382
The distance between Neptune and the moon	r=0.91	48yrs	382
The marriage rate in Wyoming	r=0.95	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
US birth rates of triplets or more	r=0.91	20yrs	380
The marriage rate in Idaho	r=0.94	23yrs	380
U.S. intercountry adoptions	r=0.93	23yrs	378
The divorce rate in Alabama	r=0.92	23yrs	378
Google searches for 'learn spanish'	r=0.92	19yrs	374
Google searches for 'snoop dog'	r=0.92	19yrs	374
Google searches for 'black holes'	r=0.91	19yrs	373
Arson in United States	r=0.87	38yrs	362
Burglary rates in the US	r=0.86	38yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
Lloyds Banking Group's stock price (LYG)	r=0.87	21yrs	358
The number of CEOs in Kentucky	r=0.94	20yrs	358
The number of bill collectors in Maryland	r=0.94	20yrs	358
US household spending on floor coverings	r=0.92	23yrs	357
Remaining Forest Cover in the Brazilian Amazon	r=0.85	36yrs	356
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	356
Gasoline pumped in Austria	r=0.86	43yrs	356
Gasoline pumped in France	r=0.86	43yrs	356
US household spending on clothing	r=0.9	23yrs	354
Kerosene used globally	r=0.85	42yrs	354
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	22yrs	353
US average milk-fat content of frozen dairy products	r=0.92	22yrs	353
The divorce rate in North Carolina	r=0.91	23yrs	347
Motor vehicle thefts in Rhode Island	r=0.9	38yrs	346
Google searches for 'panama canal'	r=0.9	19yrs	342
GMO use in cotton in North Carolina	r=0.91	23yrs	338
The divorce rate in Wyoming	r=0.91	23yrs	337
Cigarette Smoking Rate for US adults	r=0.86	21yrs	336
Air pollution in New York City	r=0.89	43yrs	328
The number of telemarketers in California	r=0.93	20yrs	327
The marriage rate in Nevada	r=0.91	23yrs	326
GMO use in cotton	r=0.89	23yrs	326
US household spending on clothing for men	r=0.9	23yrs	324
US household spending on clothin for women	r=0.9	23yrs	324
US average milk-fat content of cottage cheese	r=0.91	22yrs	322
Air pollution in Washington, D.C.	r=0.85	43yrs	322
The distance between Neptune and Mercury	r=0.9	48yrs	320
Nuclear power generation in Germany	r=0.87	31yrs	319
The number of postal service machine operators in California	r=0.94	20yrs	317
The marriage rate in South Dakota	r=0.91	23yrs	316
Burglaries in Nebraska	r=0.89	38yrs	315
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.9	22yrs	310
The number of postal service machine operators in Colorado	r=0.94	20yrs	307
The marriage rate in Virginia	r=0.91	23yrs	306
Motor vehicle thefts in New Hampshire	r=0.89	38yrs	305
Google searches for 'Panama Canal'	r=0.9	19yrs	302
Liquefied petroleum gas used in Greenland	r=0.89	22yrs	300
The number of tool and die makers in Connecticut	r=0.94	20yrs	297
Arson in Maryland	r=0.88	38yrs	294
US milk fat used to produce fluid beverage milk	r=0.89	22yrs	292
The number of switchboard operators in Delaware	r=0.94	20yrs	287
Google searches for 'oprah winfrey'	r=0.87	19yrs	287
Arson in Washington	r=0.88	38yrs	284
Cottage cheese consumption	r=0.89	32yrs	279
The number of advertising and promotions managers in Idaho	r=0.94	20yrs	277
Motor vehicle thefts in Michigan	r=0.88	38yrs	274
Google searches for 'shook'	r=0.85	19yrs	274
The number of postal service machine operators in Kansas	r=0.94	20yrs	267
Milk consumption	r=0.86	32yrs	266
The marriage rate in Arkansas	r=0.9	23yrs	264
Arson in New Jersey	r=0.87	38yrs	262
NASA's budget as a percentage of the total US Federal Budget	r=0.82	48yrs	258
The number of postal service machine operators in Massachusetts	r=0.94	20yrs	257
Viewership count for Days of Our Lives	r=0.83	47yrs	257
The divorce rate in Kentucky	r=0.89	23yrs	254
Arson in Texas	r=0.87	38yrs	252
The number of office clerks in Minnesota	r=0.94	20yrs	247
The marriage rate in Louisiana	r=0.89	23yrs	242
Burglaries in Florida	r=0.87	38yrs	242
The number of postal service machine operators in Missouri	r=0.94	20yrs	237
The divorce rate in Florida	r=0.88	23yrs	232
Burglaries in Hawaii	r=0.87	38yrs	232
The number of telemarketers in New Jersey	r=0.93	20yrs	227
Burglaries in Idaho	r=0.87	38yrs	222
The marriage rate in Alabama	r=0.88	23yrs	221
The number of postal service machine operators in New Jersey	r=0.94	20yrs	217
Burglaries in Arizona	r=0.87	38yrs	212
The marriage rate in Kansas	r=0.88	23yrs	211
The number of postal service machine operators in New York	r=0.94	20yrs	207
Burglaries in Utah	r=0.87	38yrs	202
The marriage rate in Alaska	r=0.87	23yrs	200
The number of postal service machine operators in Ohio	r=0.94	20yrs	197
Motor vehicle thefts in Maine	r=0.87	38yrs	192
The marriage rate in Florida	r=0.87	23yrs	190
The number of file clerks in Oklahoma	r=0.94	20yrs	187
The marriage rate in Kentucky	r=0.87	23yrs	180
Arson in Tennessee	r=0.86	38yrs	180
The number of postal service machine operators in Texas	r=0.94	20yrs	177
The marriage rate in Wisconsin	r=0.87	23yrs	170
Arson in Georgia	r=0.86	38yrs	170
The number of postal service machine operators in Washington	r=0.94	20yrs	167
The divorce rate in Mississippi	r=0.86	23yrs	160
Burglaries in Texas	r=0.86	38yrs	160
The divorce rate in Oregon	r=0.86	23yrs	150
Burglaries in Virginia	r=0.86	38yrs	150

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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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