Top variables that correlate with Popularity of the first name Gretchen

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

Variable	Correlation	Years	Sys. Score
United States music album sales	r=0.99	16yrs	410
Google searches for 'desktop background'	r=0.95	16yrs	406
Kerosene used in Norway	r=0.93	43yrs	397
The number of bill collectors in Washington	r=0.99	20yrs	396
The number of receptionists in Minnesota	r=0.97	20yrs	393
The number of data entry keyers in Minnesota	r=0.98	20yrs	393
US household spending on mortgage interest and charges	r=0.95	23yrs	392
Kerosene used in Portugal	r=0.9	43yrs	392
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	388
Nuclear power generation in Germany	r=0.92	31yrs	386
Associates degrees awarded in Business operations	r=0.97	11yrs	384
Bachelor's degrees awarded in linguistics	r=0.96	10yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
Associates degrees awarded in Accounting	r=0.96	11yrs	382
Burglaries in Nebraska	r=0.93	38yrs	381
Burglaries in Tennessee	r=0.93	38yrs	381
Cigarette Smoking Rate for US adults	r=0.95	21yrs	380
U.S. intercountry adoptions	r=0.94	23yrs	380
The divorce rate in Arkansas	r=0.93	23yrs	380
The divorce rate in Colorado	r=0.93	23yrs	380
Arson in Maryland	r=0.92	38yrs	380
US production of fluid beverage milk	r=0.94	22yrs	379
Viewership count of American Idol Season Finale	r=0.91	21yrs	378
The marriage rate in Alaska	r=0.93	23yrs	378
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	376
GMO use in corn grown in Texas	r=0.96	18yrs	374
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
Patents granted to Toshiba	r=0.95	12yrs	370
The number of file clerks in Mississippi	r=0.98	20yrs	363
US household spending on postage and stationery	r=0.95	23yrs	362
GMO use in cotton	r=0.91	23yrs	358
Air pollution in Atlantic City, New Jersey	r=0.9	43yrs	357
Average views of SciShow Space YouTube videos	r=0.97	9yrs	356
The number of file clerks in New York	r=0.98	20yrs	353
Associates degrees awarded in Legal professions and studies	r=0.95	11yrs	351
The divorce rate in Idaho	r=0.92	23yrs	348
Burglaries in Indiana	r=0.91	38yrs	348
Milk consumption	r=0.91	32yrs	344
The number of receptionists in Puerto Rico	r=0.97	20yrs	343
GMO use in corn grown in Missouri	r=0.91	23yrs	342
The divorce rate in Kentucky	r=0.92	23yrs	338
Burglaries in Pennsylvania	r=0.91	38yrs	338
Jet fuel used in Former Czechoslovakia	r=0.93	13yrs	337
The number of recreational therapists in Connecticut	r=0.97	20yrs	332
The divorce rate in Oklahoma	r=0.95	18yrs	328
Burglaries in South Carolina	r=0.91	38yrs	328
Gasoline pumped in Kosovo	r=0.91	14yrs	325
The number of human resources assistants in District of Columbia	r=0.97	20yrs	322
The divorce rate in Virginia	r=0.92	23yrs	318
Robberies in Rhode Island	r=0.91	38yrs	318
US average milk-fat content of cottage cheese	r=0.93	22yrs	314
Bachelor's degrees awarded in Theology and religious vocations	r=0.96	10yrs	313
The number of computer programmers in Florida	r=0.96	20yrs	312
Gasoline pumped in Guam	r=0.89	42yrs	310
The divorce rate in West Virginia	r=0.92	23yrs	308
Burglaries in Kentucky	r=0.9	38yrs	306
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	22yrs	303
Master's degrees awarded in gender studies	r=0.96	10yrs	303
The number of data entry keyers in Florida	r=0.97	20yrs	302
Kerosene used in United States	r=0.88	43yrs	300
The divorce rate in Delaware	r=0.91	23yrs	297
Burglaries in Arizona	r=0.9	38yrs	296
The number of CEOs in Massachusetts	r=0.97	19yrs	292
Associates degrees awarded in Business	r=0.95	11yrs	291
Kerosene used in Cabo Verde	r=0.88	42yrs	288
The divorce rate in Florida	r=0.91	23yrs	287
Burglaries in Ohio	r=0.9	38yrs	286
The number of telemarketers in Massachusetts	r=0.96	20yrs	282
Kerosene used in Canada	r=0.87	43yrs	278
The divorce rate in Mississippi	r=0.91	23yrs	277
The number of CEOs in Michigan	r=0.96	20yrs	272
Kerosene used in Turkiye	r=0.87	43yrs	268
The divorce rate in Wisconsin	r=0.91	23yrs	267
Arson in Iowa	r=0.94	22yrs	266
The number of counter and rental clerks in Pennsylvania	r=0.97	20yrs	262
The divorce rate in Wyoming	r=0.91	23yrs	257
Burglary rates in the US	r=0.88	38yrs	254
Kerosene used in Montserrat	r=0.89	35yrs	253
The number of procurement clerks in Alabama	r=0.96	20yrs	250
The marriage rate in Louisiana	r=0.91	23yrs	246
Burglaries in Puerto Rico	r=0.9	24yrs	242
The number of switchboard operators in Arizona	r=0.96	20yrs	240
Gasoline pumped in Latvia	r=0.88	31yrs	238
The marriage rate in North Dakota	r=0.91	23yrs	236
The number of bill collectors in Connecticut	r=0.95	20yrs	230
Arson in Idaho	r=0.9	22yrs	230
The divorce rate in Texas	r=0.9	23yrs	226
Gasoline pumped in Ukraine	r=0.87	30yrs	225
The number of bill collectors in Illinois	r=0.95	20yrs	220
Arson in United States	r=0.85	38yrs	219
The number of floral designers in Indiana	r=0.96	20yrs	210
The number of cooks, institution and cafeteria in Louisiana	r=0.96	20yrs	200
Arson in Ohio	r=0.9	38yrs	196
Arson in Ohio	r=0.9	38yrs	186
The marriage rate in Hawaii	r=0.9	23yrs	184
Burglaries in Louisiana	r=0.9	38yrs	176
The divorce rate in Illinois	r=0.89	23yrs	174
Burglaries in Wisconsin	r=0.9	38yrs	166
The divorce rate in Maine	r=0.89	23yrs	164
Burglaries in Georgia	r=0.89	38yrs	155
The divorce rate in Michigan	r=0.89	23yrs	154

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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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