Top variables that correlate with Popularity of the first name Cedrick

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

Variable	Correlation	Years	Sys. Score
The distance between Neptune and the Sun	r=0.95	48yrs	418
The distance between Neptune and Earth	r=0.95	48yrs	418
The distance between Neptune and the moon	r=0.95	48yrs	418
Arson in Texas	r=0.95	38yrs	414
Arson in United States	r=0.94	38yrs	402
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Burglary rates in the US	r=0.91	38yrs	398
Gasoline pumped in France	r=0.92	43yrs	396
Kerosene used in Uruguay	r=0.93	42yrs	396
Kerosene used in Thailand	r=0.91	42yrs	393
Carjackings in the US	r=0.9	27yrs	386
The divorce rate in Alabama	r=0.92	23yrs	378
The marriage rate in Idaho	r=0.92	23yrs	377
The marriage rate in Nevada	r=0.92	23yrs	377
Physical album shipment volume in the United States	r=0.91	24yrs	376
Milk consumption	r=0.93	32yrs	376
The wind speed in Austin	r=0.93	39yrs	376
Viewership count for Days of Our Lives	r=0.88	47yrs	370
Motor vehicle thefts	r=0.91	38yrs	368
Kerosene used in Argentina	r=0.9	42yrs	362
The number of receptionists in Delaware	r=0.94	20yrs	358
US household spending on clothing	r=0.93	23yrs	358
Air pollution in Oxnard, California	r=0.91	43yrs	358
Air pollution in Philadelphia, Pennsylvania	r=0.91	43yrs	358
The number of human resources assistants in Michigan	r=0.94	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Robberies in the US	r=0.9	38yrs	356
The number of brickmasons in Arkansas	r=0.93	20yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
The distance between Neptune and Mercury	r=0.93	48yrs	355
Air pollution in Oxnard, California	r=0.9	41yrs	355
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	352
US average milk-fat content of cottage cheese	r=0.91	22yrs	352
Petroluem consumption in Germany	r=0.93	32yrs	346
The marriage rate in Arkansas	r=0.91	23yrs	346
US birth rates of triplets or more	r=0.87	20yrs	344
Cigarette Smoking Rate for US adults	r=0.88	21yrs	339
The marriage rate in Louisiana	r=0.91	23yrs	336
Gasoline pumped in Germany	r=0.92	32yrs	334
The marriage rate in Wyoming	r=0.91	23yrs	326
The number of conveyor operators in Arkansas	r=0.93	20yrs	326
Arson in New Jersey	r=0.95	38yrs	324
Gasoline pumped in Lithuania	r=0.92	31yrs	324
The divorce rate in Kentucky	r=0.9	23yrs	316
The number of typists in Delaware	r=0.93	20yrs	316
Violent crime rates	r=0.88	38yrs	314
The divorce rate in New Hampshire	r=0.9	23yrs	306
The number of electronics engineers in New York	r=0.93	20yrs	306
Cottage cheese consumption	r=0.87	32yrs	306
Burglaries in Florida	r=0.94	38yrs	302
The divorce rate in North Carolina	r=0.9	23yrs	296
The number of computer programmers in Oklahoma	r=0.92	20yrs	296
Sherbet consumption	r=0.87	32yrs	296
Motor vehicle thefts in Michigan	r=0.94	38yrs	292
Kerosene used in United States	r=0.89	43yrs	291
The divorce rate in Wyoming	r=0.9	23yrs	286
The number of broadcast technicians in Puerto Rico	r=0.93	20yrs	286
Arson in Nevada	r=0.93	38yrs	281
Petroluem consumption in Denmark	r=0.88	43yrs	280
The number of carpenters in Alabama	r=0.92	20yrs	274
Arson in Oklahoma	r=0.93	38yrs	271
Kerosene used in Norway	r=0.88	43yrs	270
The number of switchboard operators in Arizona	r=0.92	20yrs	264
Burglaries in Hawaii	r=0.93	38yrs	261
Kerosene used globally	r=0.88	42yrs	258
The number of file clerks in Massachusetts	r=0.92	20yrs	254
Burglaries in Maryland	r=0.93	38yrs	251
Gasoline pumped in Austria	r=0.87	43yrs	248
The number of real estate agents in Michigan	r=0.91	20yrs	244
The marriage rate in Alabama	r=0.9	23yrs	244
Burglaries in Utah	r=0.93	38yrs	241
Gasoline pumped in Bulgaria	r=0.88	42yrs	238
The number of vending machine repairers in Nevada	r=0.91	20yrs	234
The marriage rate in Arizona	r=0.9	23yrs	234
Motor vehicle thefts in Maine	r=0.93	38yrs	231
Kerosene used in Peru	r=0.88	42yrs	228
The number of electronics engineers in New Jersey	r=0.92	20yrs	224
The marriage rate in Kentucky	r=0.9	23yrs	224
Motor vehicle thefts in Illinois	r=0.93	38yrs	221
Petroluem consumption in Romania	r=0.88	42yrs	218
The number of vending machine repairers in Tennessee	r=0.91	20yrs	214
The divorce rate in Nevada	r=0.89	23yrs	214
Arson in Connecticut	r=0.92	38yrs	210
Kerosene used in Turkiye	r=0.87	43yrs	208
The number of procurement clerks in Alabama	r=0.91	20yrs	202
The marriage rate in Ohio	r=0.89	23yrs	202
Arson in Georgia	r=0.92	38yrs	200
Gasoline pumped in Cuba	r=0.87	42yrs	197
The number of social and human service assistants in Arkansas	r=0.91	20yrs	192
The marriage rate in South Carolina	r=0.89	23yrs	192
Burglaries in Idaho	r=0.92	38yrs	190
Kerosene used in Cuba	r=0.87	42yrs	187
The number of data entry keyers in Connecticut	r=0.91	20yrs	182
The marriage rate in South Dakota	r=0.89	23yrs	182
Kerosene used in Egypt	r=0.86	42yrs	176
The number of brickmasons in Georgia	r=0.91	20yrs	172
The marriage rate in Tennessee	r=0.89	23yrs	172
Kerosene used in Portugal	r=0.85	43yrs	165
The number of CEOs in Massachusetts	r=0.9	19yrs	162
The marriage rate in Virginia	r=0.89	23yrs	162
The divorce rate in Maine	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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