Top variables that correlate with Popularity of the first name Fred

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.96	40yrs	428
Average number of milk cows in the United States	r=0.92	43yrs	420
Burglaries in New York	r=0.98	38yrs	418
Burglaries in California	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
The marriage rate in Idaho	r=0.96	23yrs	413
Kerosene used in Uruguay	r=0.95	42yrs	399
AIG's stock price (AIG)	r=0.92	21yrs	395
Air pollution in Oxnard, California	r=0.96	41yrs	394
Air pollution in San Diego, California	r=0.95	43yrs	394
Citigroup's stock price (C)	r=0.9	21yrs	392
The number of telemarketers in New Jersey	r=0.96	20yrs	392
The number of professional painters in Virginia	r=0.97	20yrs	392
The number of switchboard operators in Idaho	r=0.96	20yrs	390
Burglaries in Connecticut	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.92	48yrs	384
Physical album shipment volume in the United States	r=0.95	24yrs	382
The distance between Neptune and Earth	r=0.91	48yrs	382
The distance between Neptune and the moon	r=0.91	48yrs	382
The marriage rate in Nevada	r=0.95	23yrs	382
The marriage rate in Wyoming	r=0.95	23yrs	382
Popularity of the 'all your base' meme	r=0.94	17yrs	382
Google searches for 'Panama Canal'	r=0.95	19yrs	379
Google searches for 'learn spanish'	r=0.94	19yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	377
Cottage cheese consumption	r=0.92	32yrs	374
The wind speed in Nashville	r=0.92	39yrs	374
The wind speed in San Diego	r=0.92	39yrs	374
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
Gasoline pumped in Bulgaria	r=0.94	42yrs	368
Viewership count for Days of Our Lives	r=0.87	47yrs	368
Arson in New York	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
The number of typists in Pennsylvania	r=0.96	20yrs	360
GMO use in cotton	r=0.92	23yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
Kerosene used in Venezuela	r=0.94	42yrs	358
Arson in Colorado	r=0.96	38yrs	356
The divorce rate in Alabama	r=0.93	23yrs	350
The number of computer programmers in Vermont	r=0.95	19yrs	349
Robberies in Oregon	r=0.96	38yrs	346
Petroluem consumption in Bulgaria	r=0.93	42yrs	346
Google searches for 'panama canal'	r=0.93	19yrs	346
Frozen yogurt consumption	r=0.9	32yrs	340
The number of sewing machine operators in Alabama	r=0.95	20yrs	338
The marriage rate in Virginia	r=0.93	23yrs	338
Carjackings in the US	r=0.93	27yrs	335
Burglaries in Oregon	r=0.95	38yrs	334
Kerosene used in Ecuador	r=0.92	42yrs	334
Air pollution in Los Angeles	r=0.93	43yrs	334
The number of sewing machine operators in Arkansas	r=0.95	20yrs	328
The marriage rate in Arkansas	r=0.92	23yrs	327
Kerosene used in Portugal	r=0.91	43yrs	324
Air pollution in New York City	r=0.92	43yrs	323
The number of conveyor operators in New Jersey	r=0.95	20yrs	318
The divorce rate in Kentucky	r=0.91	23yrs	317
Arson in United States	r=0.95	38yrs	314
Petroluem consumption in Romania	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.93	43yrs	312
The number of prepress technicians and workers in Ohio	r=0.95	20yrs	308
The divorce rate in North Carolina	r=0.91	23yrs	307
Gasoline pumped in Cuba	r=0.91	42yrs	303
Burglary rates in the US	r=0.94	38yrs	302
Air pollution in New York City	r=0.9	43yrs	300
The number of compensation and benefits managers in Ohio	r=0.95	19yrs	298
The marriage rate in Alabama	r=0.91	23yrs	296
Kerosene used in Cuba	r=0.91	42yrs	293
The number of compensation and benefits managers in Rhode Island	r=0.95	19yrs	288
Air pollution in Oxnard, California	r=0.91	43yrs	288
The marriage rate in Arizona	r=0.91	23yrs	286
Gasoline pumped in Somalia	r=0.91	42yrs	283
Air pollution in Norwich, Connecticut	r=0.91	42yrs	278
Kerosene used in Thailand	r=0.91	42yrs	273
Air pollution in Steamboat Springs, Colorado	r=0.94	38yrs	268
Burglaries in Florida	r=0.95	38yrs	264
Kerosene used in Argentina	r=0.9	42yrs	262
Motor vehicle thefts in New Jersey	r=0.95	38yrs	254
The number of data entry keyers in California	r=0.95	20yrs	248
Motor vehicle thefts in Oklahoma	r=0.95	38yrs	244
Jet fuel used in Ukraine	r=0.92	30yrs	242
The number of telemarketers in Florida	r=0.94	20yrs	238
Robberies in Michigan	r=0.95	38yrs	234
Petroluem consumption in Uzbekistan	r=0.91	30yrs	231
The number of bill collectors in Indiana	r=0.94	20yrs	228
Robberies in New York	r=0.95	38yrs	224
The number of CEOs in Kentucky	r=0.94	20yrs	218
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	214
Arson in Nevada	r=0.94	38yrs	212
The number of couriers and messengers in Pennsylvania	r=0.95	20yrs	208
Arson in California	r=0.94	38yrs	202
The number of procurement clerks in Vermont	r=0.95	20yrs	198
Gasoline pumped in Serbia	r=0.91	16yrs	197
Burglaries in Alaska	r=0.94	38yrs	192
The number of sales managers in Puerto Rico	r=0.95	20yrs	188
Kerosene used in Bolivia	r=0.9	42yrs	182
The number of postal service machine operators in District of Columbia	r=0.95	19yrs	178
Gasoline pumped in France	r=0.89	43yrs	171

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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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