Top variables that correlate with Popularity of the first name Kelsie

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.96	27yrs	424
US birth rates of triplets or more	r=0.97	20yrs	419
The divorce rate in Tennessee	r=0.97	23yrs	416
The marriage rate in Nevada	r=0.97	23yrs	414
The marriage rate in Arkansas	r=0.96	23yrs	413
United States music album sales	r=0.97	16yrs	408
Google searches for 'desktop background'	r=0.96	16yrs	408
Gasoline pumped in Kosovo	r=0.95	14yrs	401
Arson in Idaho	r=0.95	22yrs	398
US household spending on clothing	r=0.97	23yrs	394
The number of telemarketers in California	r=0.97	20yrs	393
The number of computer programmers in New Jersey	r=0.97	20yrs	393
The number of typists in North Carolina	r=0.98	20yrs	393
US household spending on clothing for men	r=0.96	23yrs	393
US household spending on clothin for women	r=0.96	23yrs	393
US household spending on books	r=0.95	23yrs	392
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=0.96	22yrs	389
Bachelor's degrees awarded in Theology and religious vocations	r=0.99	10yrs	388
Gasoline pumped in Germany	r=0.92	32yrs	384
The marriage rate in Ohio	r=0.96	23yrs	383
Petroluem consumption in Germany	r=0.91	32yrs	383
Physical album shipment volume in the United States	r=0.95	24yrs	382
Violent crime rates	r=0.86	38yrs	380
Per capita consumption of margarine	r=0.98	10yrs	380
Cigarette Smoking Rate for US adults	r=0.94	21yrs	378
Ticket sales for Arizona Diamondbacks games	r=0.9	22yrs	374
The marriage rate in South Dakota	r=0.96	23yrs	373
NASA's budget appropriation	r=0.86	48yrs	369
Customer satisfaction with Verizon	r=0.87	28yrs	366
Customer satisfaction with Frontier Communications	r=0.87	28yrs	366
The marriage rate in Tennessee	r=0.96	23yrs	363
The number of file clerks in Ohio	r=0.98	20yrs	363
GMO use in cotton	r=0.91	23yrs	358
US household spending on processed fruits	r=0.92	23yrs	357
The divorce rate in Alabama	r=0.95	23yrs	353
The number of postal service machine operators in Oregon	r=0.98	20yrs	353
Master's degrees awarded in Architecture	r=0.96	10yrs	353
Master's degrees awarded in gender studies	r=0.95	10yrs	352
Petroluem consumption in Uzbekistan	r=0.9	30yrs	350
Frozen yogurt consumption	r=0.95	32yrs	348
Robberies in Kansas	r=0.9	38yrs	346
Google searches for 'report UFO sighting'	r=0.88	19yrs	344
The number of millwrights in Wisconsin	r=0.98	20yrs	343
The marriage rate in Idaho	r=0.95	23yrs	342
GMO use in corn grown in Texas	r=0.94	18yrs	341
Google searches for 'shook'	r=0.89	19yrs	340
Google searches for 'panama canal'	r=0.89	19yrs	340
Robberies in Maryland	r=0.9	38yrs	336
Geothermal power generated in Austria	r=0.93	17yrs	334
The number of switchboard operators in Alabama	r=0.97	20yrs	332
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	324
The number of switchboard operators in California	r=0.97	20yrs	322
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.94	22yrs	316
The number of sewing machine operators in California	r=0.97	20yrs	312
Google searches for 'oprah winfrey'	r=0.89	19yrs	310
The divorce rate in New Hampshire	r=0.95	23yrs	303
The number of telemarketers in Massachusetts	r=0.96	20yrs	302
Gasoline pumped in Spain	r=0.88	43yrs	300
US average milk-fat content of cottage cheese	r=0.9	22yrs	300
Arson in Pennsylvania	r=0.9	38yrs	296
The divorce rate in North Carolina	r=0.95	23yrs	293
The number of file clerks in Massachusetts	r=0.97	20yrs	292
Motor vehicle thefts in Louisiana	r=0.9	38yrs	286
Kerosene used in Belgium	r=0.87	39yrs	284
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	283
The number of typists in Mississippi	r=0.97	20yrs	282
The marriage rate in Kentucky	r=0.95	23yrs	282
Robberies in Louisiana	r=0.9	38yrs	276
The number of switchboard operators in New Hampshire	r=0.97	20yrs	272
The marriage rate in South Carolina	r=0.95	23yrs	272
Milk consumption	r=0.9	32yrs	272
Gasoline pumped in Lithuania	r=0.89	31yrs	269
Motor vehicle thefts in Indiana	r=0.89	38yrs	265
The number of typists in New Jersey	r=0.97	20yrs	262
The divorce rate in Kentucky	r=0.94	23yrs	262
Jet fuel used in Ukraine	r=0.89	30yrs	258
Robberies in South Carolina	r=0.89	38yrs	255
The number of telemarketers in New York	r=0.96	20yrs	252
The divorce rate in Wyoming	r=0.94	23yrs	252
Gasoline pumped in North Macedonia	r=0.88	30yrs	246
Motor vehicle thefts in Florida	r=0.88	38yrs	244
The number of computer programmers in North Carolina	r=0.96	20yrs	242
The marriage rate in Alabama	r=0.94	23yrs	240
Robberies in Arkansas	r=0.88	38yrs	234
Petroluem consumption in Azerbaijan	r=0.86	30yrs	234
The number of switchboard operators in North Carolina	r=0.97	20yrs	232
The marriage rate in Virginia	r=0.94	23yrs	230
Robberies in North Carolina	r=0.88	38yrs	224
Gasoline pumped in Latvia	r=0.86	31yrs	224
The number of switchboard operators in Oklahoma	r=0.97	20yrs	222
The divorce rate in Maine	r=0.93	23yrs	220
The number of bill collectors in Pennsylvania	r=0.96	20yrs	212
Robberies in Missouri	r=0.87	38yrs	212
The divorce rate in Ohio	r=0.93	23yrs	210
The number of file clerks in Pennsylvania	r=0.97	20yrs	202
The divorce rate in Oregon	r=0.93	23yrs	200
Motor vehicle thefts in Georgia	r=0.86	38yrs	200
Robberies in Virginia	r=0.86	38yrs	190
The marriage rate in Arizona	r=0.93	23yrs	188

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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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