Top variables that correlate with Popularity of the first name Rick

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

Variable	Correlation	Years	Sys. Score
Burglary rates in the US	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Venezuela	r=0.96	42yrs	430
The distance between Neptune and the Sun	r=0.96	48yrs	420
The distance between Neptune and Earth	r=0.96	48yrs	420
The distance between Neptune and Mercury	r=0.96	48yrs	420
Burglaries in New York	r=0.99	38yrs	420
Burglaries in California	r=0.98	38yrs	418
The divorce rate in Alabama	r=0.95	23yrs	413
The marriage rate in Arkansas	r=0.95	23yrs	412
The marriage rate in Idaho	r=0.95	23yrs	412
Google searches for 'oprah winfrey'	r=0.96	19yrs	410
Viewership count for Days of Our Lives	r=0.92	47yrs	406
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in Los Angeles	r=0.95	43yrs	398
Kerosene used in Argentina	r=0.94	42yrs	398
Gasoline pumped in Bulgaria	r=0.94	42yrs	398
Air pollution in Oxnard, California	r=0.96	41yrs	394
The number of telemarketers in Pennsylvania	r=0.97	20yrs	393
US household spending on clothin for women	r=0.96	23yrs	393
The number of boiler operators in Massachusetts	r=0.97	20yrs	392
The number of prepress technicians and workers in Pennsylvania	r=0.97	20yrs	392
US household spending on clothing	r=0.95	23yrs	392
The distance between Neptune and the moon	r=0.96	48yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	388
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	388
Arson in New York	r=0.97	38yrs	387
Average number of milk cows in the United States	r=0.89	43yrs	386
US birth rates of triplets or more	r=0.94	20yrs	384
Physical album shipment volume in the United States	r=0.94	24yrs	381
Google searches for 'shook'	r=0.94	19yrs	378
Burglaries in Rhode Island	r=0.97	38yrs	377
Cigarette Smoking Rate for US adults	r=0.93	21yrs	376
The wind speed in Austin	r=0.93	39yrs	376
The wind speed in San Diego	r=0.93	39yrs	376
GMO use in corn grown in Texas	r=0.96	18yrs	374
Google searches for 'desktop background'	r=0.93	16yrs	373
The wind speed in Nashville	r=0.91	39yrs	373
United States music album sales	r=0.93	16yrs	372
Pirate attacks globally	r=0.92	14yrs	372
Gasoline pumped in Cuba	r=0.94	42yrs	368
Burglaries in Colorado	r=0.97	38yrs	367
The number of switchboard operators in Arizona	r=0.96	20yrs	360
Kerosene used in Cuba	r=0.94	42yrs	358
Burglaries in Connecticut	r=0.97	38yrs	357
The divorce rate in Wyoming	r=0.95	23yrs	353
The number of legislators in Louisiana	r=0.95	20yrs	350
Kerosene used in Thailand	r=0.94	42yrs	348
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	347
Cottage cheese consumption	r=0.93	32yrs	345
The marriage rate in South Dakota	r=0.95	23yrs	342
The number of file clerks in Massachusetts	r=0.96	20yrs	340
Kerosene used in Turkiye	r=0.94	43yrs	338
Robberies in Michigan	r=0.97	38yrs	337
The divorce rate in Kentucky	r=0.94	23yrs	332
Frozen yogurt consumption	r=0.91	32yrs	332
The number of file clerks in Mississippi	r=0.96	20yrs	330
Robberies in Oregon	r=0.97	38yrs	327
Gasoline pumped in France	r=0.92	43yrs	326
The divorce rate in North Carolina	r=0.94	23yrs	322
The number of counter and rental clerks in Pennsylvania	r=0.96	20yrs	320
Burglaries in Florida	r=0.96	38yrs	316
Kerosene used in Mexico	r=0.94	40yrs	316
The marriage rate in Nevada	r=0.94	23yrs	310
The number of travel agents in Connecticut	r=0.95	20yrs	308
Burglaries in Minnesota	r=0.96	38yrs	306
Kerosene used in Uruguay	r=0.93	42yrs	306
The marriage rate in Wyoming	r=0.94	23yrs	300
The number of typists in Delaware	r=0.95	20yrs	298
Burglaries in Oklahoma	r=0.96	38yrs	296
Kerosene used in Brazil	r=0.92	42yrs	294
Carjackings in the US	r=0.92	27yrs	293
The divorce rate in Arkansas	r=0.93	23yrs	290
The number of file clerks in New York	r=0.95	20yrs	288
Burglaries in Texas	r=0.96	38yrs	286
Kerosene used in Ecuador	r=0.92	42yrs	284
The divorce rate in Florida	r=0.93	23yrs	280
The number of file clerks in South Dakota	r=0.95	20yrs	278
Burglaries in New Jersey	r=0.95	38yrs	274
Kerosene used in Egypt	r=0.92	42yrs	274
The divorce rate in Oregon	r=0.93	23yrs	270
Burglaries in New Mexico	r=0.95	38yrs	264
Petroluem consumption in Romania	r=0.92	42yrs	264
The number of compensation and benefits managers in Puerto Rico	r=0.95	16yrs	264
The divorce rate in Virginia	r=0.93	23yrs	260
Burglaries in Oregon	r=0.95	38yrs	254
Gasoline pumped in Somalia	r=0.92	42yrs	254
The divorce rate in Washington	r=0.93	23yrs	250
Burglaries in Virginia	r=0.95	38yrs	244
Petroluem consumption in Bulgaria	r=0.91	42yrs	243
The marriage rate in Alabama	r=0.93	23yrs	238
Kerosene used in Hong Kong	r=0.91	42yrs	233
The marriage rate in Louisiana	r=0.93	23yrs	228
Arson in United States	r=0.95	38yrs	224
The divorce rate in Nevada	r=0.92	23yrs	218
Jet fuel used in Ukraine	r=0.91	30yrs	211
The divorce rate in Ohio	r=0.92	23yrs	208
Gasoline pumped in Latvia	r=0.9	31yrs	200
The divorce rate in Tennessee	r=0.92	23yrs	198
The marriage rate in Virginia	r=0.92	23yrs	187
Geothermal power generated in Austria	r=0.92	17yrs	182

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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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