Top variables that correlate with Popularity of the first name Keven

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

Variable	Correlation	Years	Sys. Score
Nuclear power generation in Germany	r=0.95	31yrs	421
US birth rates of triplets or more	r=0.95	20yrs	416
U.S. intercountry adoptions	r=0.96	23yrs	413
Google searches for 'desktop background'	r=0.98	16yrs	410
Geothermal power generated in Austria	r=0.96	17yrs	408
United States music album sales	r=0.96	16yrs	406
Gasoline pumped in Denmark	r=0.94	43yrs	398
GMO use in cotton	r=0.96	23yrs	396
The number of telemarketers in North Dakota	r=0.98	20yrs	394
The number of computer programmers in Ohio	r=0.98	20yrs	394
The number of switchboard operators in Alabama	r=0.98	20yrs	393
US household spending on mortgage interest and charges	r=0.96	23yrs	393
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.97	22yrs	390
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	388
Bachelor's degrees awarded in linguistics	r=0.96	10yrs	383
Associates degrees awarded in Accounting	r=0.96	11yrs	382
The divorce rate in Arkansas	r=0.94	23yrs	382
The divorce rate in Kentucky	r=0.94	23yrs	382
The divorce rate in Mississippi	r=0.94	23yrs	382
Viewership count of American Idol Season Finale	r=0.93	21yrs	381
GMO use in cotton in Texas	r=0.98	23yrs	379
Cigarette Smoking Rate for US adults	r=0.94	21yrs	378
xkcd comics published about romance	r=0.93	16yrs	378
Pirate attacks globally	r=0.95	14yrs	377
GMO use in corn grown in Texas	r=0.98	18yrs	377
US production of fluid beverage milk	r=0.92	22yrs	376
Google searches for 'oprah winfrey'	r=0.93	19yrs	376
Google searches for 'shook'	r=0.91	19yrs	373
US music album sales	r=0.9	16yrs	367
Kerosene used in Malawi	r=0.93	42yrs	366
Arson in Iowa	r=0.94	22yrs	366
Arson in Idaho	r=0.93	22yrs	365
Asthma attacks in American children	r=0.87	23yrs	364
The number of switchboard operators in Arizona	r=0.98	20yrs	363
US household spending on postage and stationery	r=0.94	23yrs	360
Global Per Capita Rice Consumption	r=0.93	20yrs	356
US household spending on prescription drugs	r=0.91	23yrs	356
The number of data entry keyers in Connecticut	r=0.98	20yrs	353
Kerosene used in India	r=0.9	42yrs	352
The divorce rate in Wyoming	r=0.93	23yrs	350
Physical album shipment volume in the United States	r=0.89	24yrs	344
Google searches for 'report UFO sighting'	r=0.88	19yrs	344
The number of postal service machine operators in Idaho	r=0.98	20yrs	343
US production of cottage cheese	r=0.9	22yrs	343
Robberies in Nebraska	r=0.85	38yrs	339
The divorce rate in Idaho	r=0.92	23yrs	338
The number of switchboard operators in Iowa	r=0.98	20yrs	333
US dairy skim solids used to produce cottage cheese	r=0.91	22yrs	333
Gasoline pumped in Croatia	r=0.91	30yrs	331
The divorce rate in North Carolina	r=0.92	23yrs	328
The number of postmasters in Maryland	r=0.98	20yrs	323
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.9	22yrs	322
GMO use in corn grown in Nebraska	r=0.95	23yrs	318
The divorce rate in Florida	r=0.91	23yrs	317
The number of computer programmers in Michigan	r=0.97	20yrs	313
Gasoline pumped in Kosovo	r=0.94	14yrs	310
Google searches for 'learn spanish'	r=0.89	19yrs	310
The marriage rate in Alaska	r=0.91	23yrs	306
GMO use in corn grown in Minnesota	r=0.94	23yrs	306
The number of postmasters in North Carolina	r=0.98	20yrs	303
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	298
The marriage rate in Idaho	r=0.91	23yrs	296
GMO use in corn	r=0.94	23yrs	296
Liquefied petroleum gas used in Kosovo	r=0.91	14yrs	295
The number of library assistants in Oregon	r=0.98	20yrs	293
US average milk-fat content of cottage cheese	r=0.95	22yrs	288
The marriage rate in Wyoming	r=0.9	23yrs	284
The number of postal service machine operators in Vermont	r=0.98	20yrs	283
GMO use in corn grown in Kansas	r=0.92	23yrs	283
Gasoline pumped in Switzerland	r=0.89	43yrs	281
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.94	22yrs	276
The number of prepress technicians and workers in Virginia	r=0.98	20yrs	273
GMO use in corn grown in Missouri	r=0.92	23yrs	273
The divorce rate in Oklahoma	r=0.9	18yrs	270
Kerosene used in Bangladesh	r=0.88	42yrs	268
The number of telemarketers in West Virginia	r=0.97	20yrs	263
US average milk-fat content of frozen dairy products	r=0.92	22yrs	263
GMO use in corn grown in Iowa	r=0.91	23yrs	262
The number of typists in Puerto Rico	r=0.98	20yrs	253
GMO use in corn grown in Michigan	r=0.9	23yrs	250
Fossil fuel use in North Macedonia	r=0.85	30yrs	245
The number of postal service machine operators in Arkansas	r=0.97	20yrs	242
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	240
GMO use in corn grown in North Dakota	r=0.93	18yrs	240
The divorce rate in Texas	r=0.9	23yrs	236
The number of telemarketers in California	r=0.96	20yrs	232
Ice cream consumption	r=0.89	32yrs	229
GMO use in corn grown in Texas	r=0.92	18yrs	228
Liquefied petroleum gas used in Greenland	r=0.88	22yrs	228
The divorce rate in Virginia	r=0.9	23yrs	226
The number of prepress technicians and workers in California	r=0.97	20yrs	222
GMO use in cotton in Tennessee	r=0.94	18yrs	218
The divorce rate in West Virginia	r=0.9	23yrs	216
The number of proofreaders in Connecticut	r=0.97	20yrs	212
The divorce rate in Alabama	r=0.89	23yrs	204
The number of postal service machine operators in Iowa	r=0.97	20yrs	202
The divorce rate in Colorado	r=0.89	23yrs	194
The divorce rate in Wisconsin	r=0.89	23yrs	184
The marriage rate in Alabama	r=0.89	23yrs	172
The divorce rate in Maine	r=0.88	23yrs	162
The divorce rate in Washington	r=0.88	23yrs	152

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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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