Top variables that correlate with Popularity of the first name Kassie

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Burglaries in Florida	r=0.96	38yrs	416
Motor vehicle thefts in Maine	r=0.96	38yrs	416
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	416
The divorce rate in Tennessee	r=0.95	23yrs	413
The marriage rate in Tennessee	r=0.95	23yrs	412
Kerosene used in Egypt	r=0.94	42yrs	398
Kerosene used in Pakistan	r=0.94	42yrs	398
Kerosene used in Macau	r=0.92	42yrs	394
US average milk-fat content of frozen dairy products	r=0.95	22yrs	388
Motor vehicle thefts in New Jersey	r=0.96	38yrs	386
The marriage rate in Ohio	r=0.95	23yrs	382
US birth rates of triplets or more	r=0.91	20yrs	380
Physical album shipment volume in the United States	r=0.92	24yrs	378
The wind speed in Austin	r=0.93	39yrs	376
Milk consumption	r=0.91	32yrs	374
Burglaries in Connecticut	r=0.95	38yrs	374
Cottage cheese consumption	r=0.91	32yrs	372
Motor vehicle thefts in Rhode Island	r=0.95	38yrs	364
US household spending on clothing	r=0.94	23yrs	360
US household spending on clothing for men	r=0.94	23yrs	360
US household spending on books	r=0.94	23yrs	360
The number of prepress technicians and workers in Michigan	r=0.95	20yrs	358
The number of telemarketers in New York	r=0.94	20yrs	358
Gasoline pumped in Germany	r=0.94	32yrs	358
The number of couriers and messengers in Indiana	r=0.94	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	354
The marriage rate in Nevada	r=0.94	23yrs	350
Arson in United States	r=0.95	38yrs	344
Petroluem consumption in Germany	r=0.92	32yrs	344
Google searches for 'shook'	r=0.89	19yrs	340
The wind speed in San Diego	r=0.89	39yrs	340
Cigarette Smoking Rate for US adults	r=0.88	21yrs	339
The marriage rate in Arizona	r=0.93	23yrs	338
Google searches for 'oprah winfrey'	r=0.87	19yrs	337
Google searches for 'learn spanish'	r=0.86	19yrs	336
Total annual sales of Ford Motors in the United States	r=0.85	23yrs	334
Burglary rates in the US	r=0.94	38yrs	332
The marriage rate in Kentucky	r=0.93	23yrs	328
The number of dishwashers in Iowa	r=0.94	20yrs	327
Air pollution in Santa Maria, California	r=0.89	43yrs	326
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	324
The divorce rate in Alabama	r=0.92	23yrs	318
The number of switchboard operators in New Hampshire	r=0.94	20yrs	317
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	313
Gasoline pumped in France	r=0.89	43yrs	311
The divorce rate in New Hampshire	r=0.92	23yrs	308
The number of sewing machine operators in New York	r=0.94	20yrs	307
Arson in New Jersey	r=0.95	38yrs	304
Gasoline pumped in United Kingdom	r=0.88	43yrs	300
The marriage rate in South Carolina	r=0.92	23yrs	297
The number of maintenance workers, machinery in Virginia	r=0.94	20yrs	297
Burglaries in New Mexico	r=0.95	38yrs	294
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	290
Gasoline pumped in Austria	r=0.87	43yrs	288
The number of proofreaders in Wisconsin	r=0.94	20yrs	287
The marriage rate in Arkansas	r=0.91	23yrs	286
Burglaries in Virginia	r=0.95	38yrs	284
Kerosene used in North Korea	r=0.88	42yrs	278
The marriage rate in Idaho	r=0.91	23yrs	276
The number of typists in Alabama	r=0.93	20yrs	276
Frozen yogurt consumption	r=0.86	32yrs	274
Motor vehicle thefts in Illinois	r=0.95	38yrs	274
Petroluem consumption in North Korea	r=0.87	42yrs	267
The marriage rate in South Dakota	r=0.91	23yrs	266
The number of architects in Alaska	r=0.93	20yrs	266
Arson in Oklahoma	r=0.94	38yrs	262
Kerosene used in Syria	r=0.87	42yrs	257
The marriage rate in Virginia	r=0.91	23yrs	256
The number of telemarketers in California	r=0.92	20yrs	256
Arson in Texas	r=0.94	38yrs	252
Carjackings in the US	r=0.86	27yrs	250
The number of telemarketers in Illinois	r=0.92	20yrs	246
The marriage rate in Alabama	r=0.9	23yrs	244
Kerosene used in Argentina	r=0.85	42yrs	244
Burglaries in Idaho	r=0.94	38yrs	242
The number of switchboard operators in Michigan	r=0.93	20yrs	236
The marriage rate in Missouri	r=0.9	23yrs	234
Kerosene used in Peru	r=0.85	42yrs	234
Burglaries in Illinois	r=0.94	38yrs	232
The number of data entry keyers in New York	r=0.93	20yrs	226
The marriage rate in North Carolina	r=0.9	23yrs	224
Burglaries in New York	r=0.94	38yrs	222
Petroluem consumption in Uzbekistan	r=0.89	30yrs	218
The number of telemarketers in Pennsylvania	r=0.92	20yrs	216
Violent crime rates	r=0.87	38yrs	212
The number of counter and rental clerks in Utah	r=0.93	20yrs	206
Arson in California	r=0.93	38yrs	201
Liquefied petroleum gas used in Greenland	r=0.89	22yrs	200
The number of human resources assistants in Vermont	r=0.93	20yrs	196
Burglaries in Maryland	r=0.93	38yrs	191
Jet fuel used in Saint Vincent/Grenadines	r=0.87	24yrs	189
The number of typists in Washington	r=0.93	20yrs	186
The divorce rate in Kentucky	r=0.88	23yrs	182
Geothermal power generated in Austria	r=0.88	17yrs	176
The number of meter readers, utilities in Alabama	r=0.92	20yrs	174
The divorce rate in North Carolina	r=0.88	23yrs	172
The number of switchboard operators in California	r=0.92	20yrs	164
The divorce rate in Oregon	r=0.88	23yrs	162
The marriage rate in Wisconsin	r=0.88	23yrs	151

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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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