Top variables that correlate with Popularity of the first name Kacy

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Robberies in the US	r=0.95	38yrs	434
Gasoline pumped in Austria	r=0.97	43yrs	433
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Egypt	r=0.95	42yrs	429
Violent crime rates	r=0.93	38yrs	421
Google searches for 'learn spanish'	r=0.96	19yrs	410
Google searches for 'snoop dog'	r=0.95	19yrs	409
Gasoline pumped in France	r=0.95	43yrs	400
The number of CEOs in Ohio	r=0.97	20yrs	393
The number of typists in Ohio	r=0.98	20yrs	393
The number of floral designers in Arizona	r=0.97	20yrs	392
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	387
US birth rates of triplets or more	r=0.92	20yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Idaho	r=0.94	23yrs	380
GMO use in corn grown in Iowa	r=0.96	23yrs	379
Google searches for 'panama canal'	r=0.95	19yrs	379
U.S. intercountry adoptions	r=0.93	23yrs	378
Cottage cheese consumption	r=0.95	32yrs	378
xkcd comics published about existentialism	r=0.93	16yrs	378
The wind speed in San Diego	r=0.94	39yrs	378
Motor vehicle thefts in New Jersey	r=0.97	38yrs	377
The marriage rate in Arkansas	r=0.92	23yrs	377
The marriage rate in Nevada	r=0.92	23yrs	377
The wind speed in Austin	r=0.93	39yrs	376
Milk consumption	r=0.91	32yrs	374
US production of cottage cheese	r=0.9	22yrs	373
United States music album sales	r=0.92	16yrs	370
Arson in Indiana	r=0.96	38yrs	366
Kerosene used in Argentina	r=0.93	42yrs	366
Air pollution in Oxnard, California	r=0.94	43yrs	363
Air pollution in Santa Maria, California	r=0.94	43yrs	363
The number of data entry keyers in California	r=0.97	20yrs	362
Number of edits to the Wikipedia article for Thanksgiving	r=0.89	16yrs	360
Citigroup's stock price (C)	r=0.88	21yrs	359
AIG's stock price (AIG)	r=0.88	21yrs	359
GMO use in cotton	r=0.91	23yrs	358
Air pollution in Riverside, California	r=0.91	43yrs	358
Burglaries in Connecticut	r=0.96	38yrs	356
Kerosene used in Cuba	r=0.93	42yrs	356
US household spending on floor coverings	r=0.91	23yrs	356
The number of automotive body repairers in Connecticut	r=0.97	20yrs	352
Google searches for 'Panama Canal'	r=0.95	19yrs	349
The marriage rate in Wyoming	r=0.92	23yrs	347
Robberies in Connecticut	r=0.96	38yrs	346
Kerosene used in Pakistan	r=0.93	42yrs	346
The number of telephone operators in Florida	r=0.98	19yrs	342
US dairy skim solids used to produce cottage cheese	r=0.9	22yrs	342
Robberies in Connecticut	r=0.96	38yrs	336
Kerosene used in Thailand	r=0.93	42yrs	336
Google searches for 'black holes'	r=0.93	19yrs	336
The marriage rate in Alabama	r=0.91	23yrs	336
The number of typists in Florida	r=0.97	20yrs	332
Air pollution in San Diego, California	r=0.9	43yrs	327
The marriage rate in Virginia	r=0.91	23yrs	326
Arson in New Jersey	r=0.95	38yrs	324
Google searches for 'oprah winfrey'	r=0.91	19yrs	323
The number of data entry keyers in Georgia	r=0.97	20yrs	322
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	316
Arson in Texas	r=0.95	38yrs	314
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	313
The number of telemarketers in Illinois	r=0.96	20yrs	312
Arson in Georgia	r=0.95	38yrs	304
US average milk-fat content of cottage cheese	r=0.92	22yrs	303
The number of typists in Indiana	r=0.97	20yrs	302
Burglaries in Florida	r=0.95	38yrs	294
The number of CEOs in Kentucky	r=0.96	20yrs	292
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	292
Gasoline pumped in Cuba	r=0.89	42yrs	290
The divorce rate in Alabama	r=0.9	23yrs	286
Burglaries in Kansas	r=0.95	38yrs	284
The number of file clerks in Maryland	r=0.97	20yrs	282
US average milk-fat content of frozen dairy products	r=0.91	22yrs	282
Fossil fuel use in Sierra Leone	r=0.86	42yrs	278
Burglaries in Minnesota	r=0.95	38yrs	274
The number of prepress technicians and workers in New York	r=0.97	20yrs	272
Petroluem consumption in North Korea	r=0.88	42yrs	268
Burglaries in New Jersey	r=0.95	38yrs	264
The number of prepress technicians and workers in North Carolina	r=0.97	20yrs	262
Kerosene used in North Korea	r=0.88	42yrs	258
Burglaries in New York	r=0.95	38yrs	254
Carjackings in the US	r=0.89	27yrs	254
The number of switchboard operators in West Virginia	r=0.97	20yrs	252
Gasoline pumped in United Kingdom	r=0.87	43yrs	248
Burglaries in District of Columbia	r=0.95	38yrs	244
The number of compensation and benefits managers in Indiana	r=0.98	19yrs	242
Kerosene used in Macau	r=0.87	42yrs	237
Motor vehicle thefts in Rhode Island	r=0.95	38yrs	234
The number of sewing machine operators in Arkansas	r=0.96	20yrs	230
Gasoline pumped in Belgium	r=0.86	43yrs	226
Motor vehicle thefts in Texas	r=0.95	38yrs	224
The number of prepress technicians and workers in Colorado	r=0.96	20yrs	220
Kerosene used in Brazil	r=0.86	42yrs	216
The number of switchboard operators in Florida	r=0.96	20yrs	210
Kerosene used in Peru	r=0.85	42yrs	204
The number of sewing machine operators in Hawaii	r=0.96	20yrs	200
Gasoline pumped in Latvia	r=0.9	31yrs	190
Gasoline pumped in Germany	r=0.88	32yrs	178
Petroluem consumption in Uzbekistan	r=0.89	30yrs	168
Petroluem consumption in Germany	r=0.86	32yrs	156

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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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