Top variables that correlate with Popularity of the first name Rickey

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

Variable	Correlation	Years	Sys. Score
Burglary rates in the US	r=0.95	38yrs	434
Kerosene used in Turkiye	r=0.96	43yrs	432
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
Kerosene used in Mexico	r=0.97	40yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.92	43yrs	420
The distance between Neptune and Mercury	r=0.96	48yrs	420
The distance between Neptune and Earth	r=0.95	48yrs	418
The distance between Neptune and the moon	r=0.95	48yrs	418
Burglaries in New York	r=0.98	38yrs	418
Burglaries in California	r=0.98	38yrs	418
The divorce rate in Kentucky	r=0.97	23yrs	416
The divorce rate in North Carolina	r=0.96	23yrs	414
The marriage rate in Alabama	r=0.96	23yrs	413
United States music album sales	r=0.96	16yrs	406
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in San Diego, California	r=0.96	43yrs	396
The number of bill collectors in Washington	r=0.98	20yrs	394
Air pollution in Oxnard, California	r=0.96	41yrs	394
The number of file clerks in New York	r=0.98	20yrs	393
The number of conveyor operators in Arkansas	r=0.97	20yrs	392
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.96	22yrs	389
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.96	22yrs	389
Burglaries in Colorado	r=0.97	38yrs	387
US birth rates of triplets or more	r=0.94	20yrs	384
The marriage rate in Idaho	r=0.96	23yrs	383
Physical album shipment volume in the United States	r=0.94	24yrs	381
Cigarette Smoking Rate for US adults	r=0.94	21yrs	378
Burglaries in Connecticut	r=0.97	38yrs	377
Google searches for 'oprah winfrey'	r=0.93	19yrs	376
U.S. intercountry adoptions	r=0.9	23yrs	374
GMO use in corn grown in Texas	r=0.96	18yrs	374
Google searches for 'desktop background'	r=0.94	16yrs	374
The wind speed in Austin	r=0.92	39yrs	374
The marriage rate in Wyoming	r=0.96	23yrs	373
The wind speed in Nashville	r=0.91	39yrs	373
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Arson in New York	r=0.96	38yrs	366
The divorce rate in Mississippi	r=0.95	23yrs	363
The number of payroll and timekeeping clerks in Massachusetts	r=0.97	20yrs	362
Kerosene used in Venezuela	r=0.94	42yrs	358
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	358
The distance between Neptune and the Sun	r=0.95	48yrs	358
Burglaries in Oregon	r=0.96	38yrs	356
The divorce rate in Wyoming	r=0.95	23yrs	353
The number of data entry keyers in Minnesota	r=0.97	20yrs	352
Burglaries in Rhode Island	r=0.96	38yrs	346
Kerosene used in Ecuador	r=0.93	42yrs	346
The number of file clerks in Mississippi	r=0.97	20yrs	342
Burglaries in Texas	r=0.96	38yrs	336
Kerosene used in Uruguay	r=0.93	42yrs	336
Cottage cheese consumption	r=0.93	32yrs	335
The number of recreational therapists in Connecticut	r=0.96	20yrs	330
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	326
Petroluem consumption in Romania	r=0.92	42yrs	324
The number of payroll and timekeeping clerks in District of Columbia	r=0.96	20yrs	320
Robberies in Michigan	r=0.96	38yrs	316
Gasoline pumped in Somalia	r=0.92	42yrs	314
The marriage rate in Arkansas	r=0.95	23yrs	312
The number of human resources assistants in District of Columbia	r=0.96	20yrs	310
Carjackings in the US	r=0.92	27yrs	308
Robberies in Oregon	r=0.96	38yrs	306
Kerosene used in Thailand	r=0.92	42yrs	304
The marriage rate in Nevada	r=0.95	23yrs	302
The number of CEOs in Massachusetts	r=0.96	19yrs	300
Burglaries in Florida	r=0.95	38yrs	294
Kerosene used in Argentina	r=0.91	42yrs	293
The divorce rate in Alabama	r=0.94	23yrs	292
The number of file clerks in Massachusetts	r=0.96	20yrs	290
Burglaries in New Mexico	r=0.95	38yrs	284
Gasoline pumped in Cuba	r=0.91	42yrs	283
The divorce rate in Florida	r=0.94	23yrs	282
The number of CEOs in Michigan	r=0.95	20yrs	280
Burglaries in Oklahoma	r=0.95	38yrs	274
Kerosene used in Cuba	r=0.91	42yrs	273
The divorce rate in Virginia	r=0.94	23yrs	272
The number of receptionists in Minnesota	r=0.95	20yrs	270
Kerosene used in Hong Kong	r=0.91	42yrs	263
The number of bill collectors in Montana	r=0.95	20yrs	260
The marriage rate in South Dakota	r=0.94	23yrs	260
Arson in United States	r=0.94	38yrs	252
Kerosene used in Brazil	r=0.9	42yrs	252
The number of conveyor operators in New Jersey	r=0.96	20yrs	250
The divorce rate in Arkansas	r=0.93	23yrs	250
The number of data entry keyers in New Mexico	r=0.96	20yrs	240
The divorce rate in New Hampshire	r=0.93	23yrs	240
Gasoline pumped in Latvia	r=0.92	31yrs	234
The number of computer programmers in Oklahoma	r=0.95	20yrs	230
The divorce rate in Washington	r=0.93	23yrs	230
Jet fuel used in Ukraine	r=0.91	30yrs	221
The number of file clerks in Oregon	r=0.96	20yrs	220
The marriage rate in Louisiana	r=0.93	23yrs	218
Burglaries in Michigan	r=0.95	38yrs	214
The number of counter and rental clerks in Pennsylvania	r=0.96	20yrs	210
The divorce rate in Maine	r=0.92	23yrs	208
Burglaries in Minnesota	r=0.95	38yrs	204
Geothermal power generated in Austria	r=0.93	17yrs	204
The number of telemarketers in Pennsylvania	r=0.95	20yrs	200
The divorce rate in Ohio	r=0.92	23yrs	198
Burglaries in Virginia	r=0.95	38yrs	194
The divorce rate in Oregon	r=0.92	23yrs	188

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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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