Top variables that correlate with Popularity of the first name Ernest

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
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
Burglaries in New York	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
Burglaries in California	r=0.97	38yrs	417
Physical album shipment volume in the United States	r=0.97	24yrs	416
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Tennessee	r=0.96	23yrs	413
The marriage rate in Arkansas	r=0.95	23yrs	412
Google searches for 'learn spanish'	r=0.96	19yrs	410
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
Air pollution in Oxnard, California	r=0.97	41yrs	396
US household spending on books	r=0.96	23yrs	393
The number of typists in Florida	r=0.97	20yrs	392
The number of typists in Iowa	r=0.97	20yrs	392
The number of CEOs in Kentucky	r=0.96	20yrs	392
Burglaries in Colorado	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.94	48yrs	386
The distance between Neptune and the Sun	r=0.93	48yrs	385
The distance between Neptune and Earth	r=0.93	48yrs	385
US birth rates of triplets or more	r=0.93	20yrs	383
The marriage rate in Wyoming	r=0.95	23yrs	382
Google searches for 'panama canal'	r=0.95	19yrs	379
Google searches for 'Panama Canal'	r=0.94	19yrs	378
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
Burglaries in Oregon	r=0.96	38yrs	376
Cottage cheese consumption	r=0.92	32yrs	374
The wind speed in Austin	r=0.92	39yrs	374
The wind speed in Nashville	r=0.92	39yrs	374
The wind speed in San Diego	r=0.9	39yrs	372
Viewership count for Days of Our Lives	r=0.89	47yrs	371
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
United States music album sales	r=0.9	16yrs	367
Burglaries in Connecticut	r=0.96	38yrs	366
The number of floral designers in Kentucky	r=0.97	20yrs	362
Kerosene used in Uruguay	r=0.94	42yrs	358
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	356
The distance between Neptune and the moon	r=0.93	48yrs	355
The number of file clerks in Maryland	r=0.97	20yrs	352
Kerosene used in Venezuela	r=0.94	42yrs	348
Google searches for 'black holes'	r=0.94	19yrs	348
Robberies in Oregon	r=0.96	38yrs	346
The number of typists in Michigan	r=0.97	20yrs	342
The divorce rate in Alabama	r=0.94	23yrs	342
Kerosene used in Ecuador	r=0.93	42yrs	336
Google searches for 'snoop dog'	r=0.93	19yrs	336
Air pollution in Los Angeles	r=0.94	43yrs	336
Carjackings in the US	r=0.93	27yrs	335
Burglaries in Texas	r=0.95	38yrs	334
The number of prepress technicians and workers in North Carolina	r=0.97	20yrs	332
The divorce rate in Tennessee	r=0.94	23yrs	332
Petroluem consumption in Romania	r=0.93	42yrs	326
Air pollution in New York City	r=0.92	43yrs	323
The number of CEOs in Ohio	r=0.96	20yrs	322
The marriage rate in Idaho	r=0.94	23yrs	320
Gasoline pumped in Somalia	r=0.93	42yrs	316
The number of typists in Ohio	r=0.97	20yrs	312
Arson in United States	r=0.93	38yrs	311
The marriage rate in South Dakota	r=0.94	23yrs	310
Gasoline pumped in Cuba	r=0.92	42yrs	304
The number of CEOs in South Carolina	r=0.96	20yrs	302
Burglary rates in the US	r=0.93	38yrs	301
The marriage rate in Alabama	r=0.93	23yrs	298
Kerosene used in Argentina	r=0.91	42yrs	293
The number of switchboard operators in West Virginia	r=0.97	20yrs	292
The marriage rate in Ohio	r=0.93	23yrs	288
Kerosene used in Cuba	r=0.91	42yrs	283
The number of data entry keyers in Alabama	r=0.96	20yrs	280
The marriage rate in Virginia	r=0.93	23yrs	278
Kerosene used in Hong Kong	r=0.91	42yrs	273
The number of brickmasons in Alabama	r=0.96	20yrs	270
The marriage rate in South Carolina	r=0.92	23yrs	267
Kerosene used in Thailand	r=0.91	42yrs	263
Arson in Colorado	r=0.94	38yrs	262
The number of data entry keyers in California	r=0.96	20yrs	260
The divorce rate in North Carolina	r=0.91	23yrs	257
Kerosene used in Bolivia	r=0.9	42yrs	252
Burglaries in Florida	r=0.94	38yrs	252
The number of switchboard operators in Florida	r=0.96	20yrs	250
The marriage rate in West Virginia	r=0.91	23yrs	246
Kerosene used in Brazil	r=0.9	42yrs	242
Burglaries in New Mexico	r=0.94	38yrs	242
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	240
The marriage rate in Wisconsin	r=0.91	23yrs	236
Kerosene used in Portugal	r=0.9	43yrs	232
Burglaries in Oklahoma	r=0.94	38yrs	232
The number of locker room attendants in Indiana	r=0.97	19yrs	230
Burglaries in Rhode Island	r=0.94	38yrs	222
The number of switchboard operators in Indiana	r=0.96	20yrs	220
Motor vehicle thefts in New Jersey	r=0.94	38yrs	212
Jet fuel used in Ukraine	r=0.91	30yrs	211
The number of file clerks in Indiana	r=0.96	20yrs	210
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	202
Petroluem consumption in Uzbekistan	r=0.91	30yrs	201
The number of typists in Maine	r=0.96	20yrs	200
Motor vehicle thefts in Rhode Island	r=0.94	38yrs	192
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	184

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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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