Top variables that correlate with Popularity of the first name Shana

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.97	27yrs	426
Burglaries in Colorado	r=0.98	38yrs	418
Jet fuel used in Ukraine	r=0.95	30yrs	417
Arson in New York	r=0.96	38yrs	416
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.97	23yrs	414
The marriage rate in Tennessee	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.96	23yrs	414
Google searches for 'learn spanish'	r=0.97	19yrs	412
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
The number of CEOs in Ohio	r=0.97	20yrs	393
Gasoline pumped in Bulgaria	r=0.91	42yrs	393
Gasoline pumped in Somalia	r=0.91	42yrs	393
The number of telemarketers in California	r=0.96	20yrs	392
The number of postal service machine operators in Connecticut	r=0.97	20yrs	392
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 fluid beverage milk	r=0.95	22yrs	388
Burglaries in Oregon	r=0.95	38yrs	384
The distance between Neptune and Mercury	r=0.92	48yrs	384
The divorce rate in Alabama	r=0.95	23yrs	383
US birth rates of triplets or more	r=0.93	20yrs	383
Average number of milk cows in the United States	r=0.87	43yrs	382
Google searches for 'black holes'	r=0.94	19yrs	378
Google searches for 'snoop dog'	r=0.93	19yrs	376
Robberies in Oregon	r=0.95	38yrs	374
Viewership count for Days of Our Lives	r=0.89	47yrs	371
Customer satisfaction with Verizon	r=0.88	28yrs	368
Kerosene used in Venezuela	r=0.91	42yrs	363
Air pollution in Los Angeles	r=0.92	43yrs	363
The number of typists in Florida	r=0.97	20yrs	362
AIG's stock price (AIG)	r=0.9	21yrs	362
US household spending on books	r=0.95	23yrs	362
Air pollution in Los Angeles	r=0.91	43yrs	362
Air pollution in New York City	r=0.9	43yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.87	21yrs	358
US household spending on clothing	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
The number of typists in Iowa	r=0.97	20yrs	352
US milk fat used to produce fluid beverage milk	r=0.94	22yrs	349
The number of postal service machine operators in Massachusetts	r=0.97	20yrs	342
The marriage rate in Idaho	r=0.95	23yrs	342
Petroluem consumption in Ukraine	r=0.92	30yrs	342
Google searches for 'desktop background'	r=0.92	16yrs	342
Burglaries in California	r=0.95	38yrs	334
The number of cutters and trimmers, hand in North Carolina	r=0.97	20yrs	332
Petroluem consumption in Azerbaijan	r=0.91	30yrs	331
The marriage rate in Alabama	r=0.94	23yrs	330
Air pollution in San Diego, California	r=0.91	43yrs	328
The number of typists in Ohio	r=0.97	20yrs	322
Burglaries in New York	r=0.94	38yrs	322
The marriage rate in Arkansas	r=0.94	23yrs	320
Liquefied petroleum gas used in Greenland	r=0.94	22yrs	318
Air pollution in San Diego, California	r=0.9	43yrs	317
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.94	22yrs	316
The number of sewing machine operators in Pennsylvania	r=0.97	20yrs	312
Burglaries in Washington	r=0.93	38yrs	311
The marriage rate in Ohio	r=0.94	23yrs	310
Air pollution in Oxnard, California	r=0.91	41yrs	306
Geothermal power generated in Austria	r=0.93	17yrs	304
The number of brickmasons in Alabama	r=0.96	20yrs	300
The marriage rate in Wyoming	r=0.94	23yrs	300
Arson in Colorado	r=0.91	38yrs	298
The number of sewing machine operators in Alabama	r=0.96	20yrs	290
The marriage rate in South Carolina	r=0.93	23yrs	288
Burglaries in Alaska	r=0.91	38yrs	288
Petroluem consumption in Bulgaria	r=0.9	42yrs	282
The number of postal service machine operators in California	r=0.96	20yrs	280
The marriage rate in South Dakota	r=0.93	23yrs	278
Burglaries in Michigan	r=0.91	38yrs	278
The number of postal service machine operators in Colorado	r=0.96	20yrs	270
Gasoline pumped in Cuba	r=0.89	42yrs	270
The marriage rate in Virginia	r=0.93	23yrs	268
Burglaries in Montana	r=0.91	38yrs	268
The number of postal service machine operators in Illinois	r=0.96	20yrs	260
Kerosene used in Ecuador	r=0.89	42yrs	260
Burglaries in Oklahoma	r=0.91	38yrs	258
The marriage rate in Arizona	r=0.92	23yrs	257
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	250
Kerosene used in Egypt	r=0.89	42yrs	250
Burglaries in Rhode Island	r=0.91	38yrs	248
The marriage rate in Kentucky	r=0.92	23yrs	247
The number of couriers and messengers in Indiana	r=0.96	20yrs	240
Kerosene used in Thailand	r=0.89	42yrs	240
Burglaries in Texas	r=0.91	38yrs	238
The divorce rate in North Carolina	r=0.91	23yrs	237
The number of postal service machine operators in Kansas	r=0.96	20yrs	230
Burglaries in Connecticut	r=0.91	38yrs	228
Kerosene used in Cuba	r=0.88	42yrs	228
The number of typists in Maine	r=0.96	20yrs	220
Motor vehicle thefts in Massachusetts	r=0.91	38yrs	218
Kerosene used in Argentina	r=0.87	42yrs	217
The number of postal service machine operators in Maryland	r=0.96	20yrs	210
Motor vehicle thefts in Oklahoma	r=0.91	38yrs	208
Kerosene used in Brazil	r=0.87	42yrs	207
The number of switchboard operators in Michigan	r=0.96	20yrs	200
Robberies in Michigan	r=0.91	38yrs	198
Gasoline pumped in France	r=0.86	43yrs	196
Kerosene used in Turkiye	r=0.86	43yrs	186
Kerosene used in Mexico	r=0.87	40yrs	175
Burglary rates in the US	r=0.88	38yrs	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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