Top variables that correlate with Popularity of the first name Clifton

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.98	40yrs	432
Petroluem consumption in Bulgaria	r=0.96	42yrs	430
Average number of milk cows in the United States	r=0.94	43yrs	423
Burglaries in Colorado	r=0.98	38yrs	418
Burglaries in Oregon	r=0.97	38yrs	417
Arson in New York	r=0.96	38yrs	416
The marriage rate in Tennessee	r=0.96	23yrs	413
Gasoline pumped in Bulgaria	r=0.96	42yrs	400
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	398
Air pollution in San Diego, California	r=0.96	43yrs	396
Air pollution in Oxnard, California	r=0.95	41yrs	392
Carjackings in the US	r=0.93	27yrs	390
The number of prepress technicians and workers in North Carolina	r=0.95	20yrs	388
Robberies in Oregon	r=0.96	38yrs	386
The distance between Neptune and Mercury	r=0.91	48yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Nevada	r=0.94	23yrs	380
The marriage rate in South Carolina	r=0.94	23yrs	380
US birth rates of triplets or more	r=0.9	20yrs	378
Burglaries in California	r=0.95	38yrs	374
Cottage cheese consumption	r=0.91	32yrs	372
Air pollution in Los Angeles	r=0.95	43yrs	368
Viewership count for Days of Our Lives	r=0.86	47yrs	366
US household spending on books	r=0.94	23yrs	360
The number of couriers and messengers in Indiana	r=0.95	20yrs	358
The number of computer programmers in Maryland	r=0.94	20yrs	358
Kerosene used in Ecuador	r=0.94	42yrs	358
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
US average milk-fat content of frozen dairy products	r=0.92	22yrs	353
The divorce rate in Tennessee	r=0.93	23yrs	350
The distance between Neptune and Earth	r=0.89	48yrs	349
The distance between Neptune and the moon	r=0.89	48yrs	349
Burglary rates in the US	r=0.91	38yrs	348
Kerosene used in Bolivia	r=0.93	42yrs	346
The wind speed in Nashville	r=0.9	39yrs	342
Google searches for 'learn spanish'	r=0.89	19yrs	340
The marriage rate in Arkansas	r=0.93	23yrs	338
Gasoline pumped in Somalia	r=0.93	42yrs	336
Air pollution in Los Angeles	r=0.93	43yrs	334
The number of CEOs in Ohio	r=0.94	20yrs	328
The marriage rate in Ohio	r=0.92	23yrs	327
Kerosene used in Venezuela	r=0.93	42yrs	326
Air pollution in New York City	r=0.93	43yrs	324
The distance between Neptune and the Sun	r=0.88	48yrs	318
The marriage rate in Wyoming	r=0.92	23yrs	317
The number of meter readers, utilities in Alabama	r=0.94	20yrs	317
Kerosene used in Portugal	r=0.91	43yrs	314
Burglaries in New York	r=0.95	38yrs	314
Air pollution in San Diego, California	r=0.92	43yrs	310
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	310
The number of telemarketers in California	r=0.93	20yrs	307
The marriage rate in Arizona	r=0.91	23yrs	306
Petroluem consumption in Romania	r=0.92	42yrs	304
Burglaries in Washington	r=0.95	38yrs	304
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	298
The number of postal service machine operators in Connecticut	r=0.94	20yrs	297
The marriage rate in South Dakota	r=0.91	23yrs	296
Kerosene used in Romania	r=0.92	42yrs	294
Burglaries in Texas	r=0.94	38yrs	292
The number of prepress technicians and workers in Massachusetts	r=0.94	20yrs	287
Air pollution in Spokane, Washington	r=0.9	43yrs	287
The divorce rate in Alabama	r=0.9	23yrs	286
Kerosene used in Uruguay	r=0.92	42yrs	284
Burglaries in Oklahoma	r=0.93	38yrs	281
The number of data entry keyers in Nebraska	r=0.94	20yrs	277
Kerosene used in Hong Kong	r=0.91	42yrs	273
Burglaries in Connecticut	r=0.93	38yrs	271
The number of switchboard operators in New Jersey	r=0.94	20yrs	267
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	261
The number of typists in Ohio	r=0.94	20yrs	257
Jet fuel used in Ukraine	r=0.91	30yrs	251
Arson in Colorado	r=0.92	38yrs	250
The number of CEOs in South Carolina	r=0.93	20yrs	247
The marriage rate in Alabama	r=0.9	23yrs	244
Petroluem consumption in Uzbekistan	r=0.91	30yrs	241
Burglaries in Michigan	r=0.92	38yrs	240
The number of brickmasons in Alabama	r=0.93	20yrs	236
The marriage rate in Idaho	r=0.9	23yrs	234
Burglaries in New Mexico	r=0.92	38yrs	230
The number of sewing machine operators in California	r=0.93	20yrs	226
The divorce rate in North Carolina	r=0.89	23yrs	224
Burglaries in Rhode Island	r=0.92	38yrs	220
The number of computer programmers in Colorado	r=0.92	20yrs	216
The marriage rate in Virginia	r=0.89	23yrs	212
Kerosene used in United States	r=0.89	43yrs	211
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	210
The number of data entry keyers in Georgia	r=0.93	20yrs	206
The divorce rate in Ohio	r=0.87	23yrs	201
Robberies in Michigan	r=0.92	38yrs	200
Kerosene used in Brazil	r=0.89	42yrs	200
The number of typists in Iowa	r=0.93	20yrs	196
The divorce rate in Wyoming	r=0.87	23yrs	191
Gasoline pumped in Cuba	r=0.89	42yrs	190
Burglaries in Florida	r=0.91	38yrs	188
The number of switchboard operators in Michigan	r=0.93	20yrs	186
Kerosene used in Cuba	r=0.88	42yrs	178
The number of data entry keyers in New York	r=0.93	20yrs	176
Kerosene used in Norway	r=0.87	43yrs	168
The number of furniture finishers in North Carolina	r=0.93	20yrs	166

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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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