Top variables that correlate with Popularity of the first name Clinton

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.95	43yrs	430
Average number of milk cows in the United States	r=0.93	43yrs	422
Petroluem consumption in Belarus	r=0.97	30yrs	420
Petroluem consumption in Ukraine	r=0.96	30yrs	418
Arson in New York	r=0.97	38yrs	417
The number of payroll and timekeeping clerks in Mississippi	r=0.96	20yrs	390
The number of receptionists in Puerto Rico	r=0.95	20yrs	390
The number of file clerks in California	r=0.95	20yrs	388
The distance between Neptune and Mercury	r=0.91	48yrs	382
Burglaries in New York	r=0.94	38yrs	382
Burglaries in California	r=0.94	38yrs	382
Associates degrees awarded in Business operations	r=0.95	11yrs	381
The divorce rate in Arkansas	r=0.92	23yrs	378
The marriage rate in Alaska	r=0.92	23yrs	377
The marriage rate in North Dakota	r=0.92	23yrs	377
United States music album sales	r=0.95	16yrs	374
Patents granted to Toshiba	r=0.95	12yrs	370
Kerosene used in Venezuela	r=0.95	42yrs	369
Air pollution in Los Angeles	r=0.94	43yrs	366
Air pollution in San Diego, California	r=0.94	43yrs	363
Air pollution in Los Angeles	r=0.91	43yrs	362
The number of meter readers, utilities in Tennessee	r=0.95	20yrs	358
Kerosene used in Mexico	r=0.95	40yrs	357
Cenovus Energy's stock price (CVE)	r=0.91	13yrs	356
US household spending on fresh milk and cream	r=0.91	23yrs	356
Vodafone Group's stock price (VOD)	r=0.85	21yrs	354
Robberies in New York	r=0.93	38yrs	351
The distance between Neptune and the Sun	r=0.89	48yrs	349
The distance between Neptune and Earth	r=0.89	48yrs	349
The number of secretaries in Colorado	r=0.98	13yrs	348
The divorce rate in Colorado	r=0.91	23yrs	347
Kerosene used in Ecuador	r=0.92	42yrs	344
US production of fluid beverage milk	r=0.9	22yrs	343
xkcd comics published about existentialism	r=0.9	16yrs	343
US birth rates of triplets or more	r=0.86	20yrs	342
The wind speed in Nashville	r=0.9	39yrs	342
The wind speed in San Diego	r=0.9	39yrs	342
Burglaries in Texas	r=0.92	38yrs	340
Cigarette Smoking Rate for US adults	r=0.89	21yrs	340
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.89	22yrs	340
The number of secretaries in Montana	r=0.96	13yrs	334
Petroluem consumption in Bulgaria	r=0.91	42yrs	333
Burglaries in Colorado	r=0.92	38yrs	330
Air pollution in Oxnard, California	r=0.93	41yrs	330
The number of tax examiners and collectors, and revenue agents in Arizona	r=0.96	13yrs	323
Gasoline pumped in Bulgaria	r=0.9	42yrs	322
Burglaries in Connecticut	r=0.92	38yrs	320
Air pollution in Spokane, Washington	r=0.92	43yrs	320
The distance between Neptune and the moon	r=0.89	48yrs	319
The number of secretaries in Arkansas	r=0.95	13yrs	313
Gasoline pumped in Somalia	r=0.9	42yrs	312
Motor vehicle thefts in Massachusetts	r=0.91	38yrs	308
Air pollution in San Diego, California	r=0.9	43yrs	307
The divorce rate in Virginia	r=0.89	23yrs	304
Kerosene used in Uruguay	r=0.9	42yrs	302
The number of labor relations specialists in Arkansas	r=0.95	11yrs	300
Robberies in Oregon	r=0.91	38yrs	298
The divorce rate in West Virginia	r=0.89	23yrs	294
Air pollution in Los Alamos, New Mexico	r=0.92	33yrs	290
Kerosene used in French Polynesia	r=0.93	32yrs	286
Arson in Illinois	r=0.9	38yrs	286
Carjackings in the US	r=0.9	27yrs	286
The marriage rate in Louisiana	r=0.89	23yrs	282
Burglaries in Massachusetts	r=0.9	38yrs	276
The divorce rate in Illinois	r=0.88	23yrs	272
Jet fuel used in Ukraine	r=0.91	30yrs	271
The number of receptionists in Minnesota	r=0.95	20yrs	270
Burglaries in Rhode Island	r=0.9	38yrs	266
The divorce rate in Maine	r=0.88	23yrs	262
The number of bill collectors in Washington	r=0.95	20yrs	260
The divorce rate in Michigan	r=0.88	23yrs	252
The number of bill collectors in Connecticut	r=0.94	20yrs	248
Burglary rates in the US	r=0.88	38yrs	244
Kerosene used in Hong Kong	r=0.9	42yrs	242
The divorce rate in Texas	r=0.88	23yrs	242
The number of human resources assistants in Indiana	r=0.95	20yrs	238
Petroluem consumption in Romania	r=0.9	42yrs	232
The divorce rate in Wisconsin	r=0.88	23yrs	232
Arson in United States	r=0.85	38yrs	229
The number of CEOs in Michigan	r=0.94	20yrs	228
The divorce rate in Arizona	r=0.87	23yrs	221
Kerosene used in Italy	r=0.88	43yrs	220
The number of bill collectors in Michigan	r=0.94	20yrs	218
The divorce rate in Delaware	r=0.87	23yrs	211
Kerosene used in Portugal	r=0.88	43yrs	210
The number of bill collectors in California	r=0.93	20yrs	207
The divorce rate in Florida	r=0.87	23yrs	201
Kerosene used in Argentina	r=0.88	42yrs	198
The number of data entry keyers in Florida	r=0.94	20yrs	197
Motor vehicle thefts in Oklahoma	r=0.9	38yrs	196
The divorce rate in Idaho	r=0.87	23yrs	191
Kerosene used in Bolivia	r=0.88	42yrs	188
The number of bill collectors in Illinois	r=0.93	20yrs	187
Motor vehicle thefts in Rhode Island	r=0.9	38yrs	186
Gasoline pumped in Cuba	r=0.88	42yrs	178
The number of bill collectors in Massachusetts	r=0.93	20yrs	177
Burglaries in New Hampshire	r=0.89	38yrs	175
Kerosene used in Cuba	r=0.88	42yrs	168
The number of bill collectors in Montana	r=0.93	20yrs	167
Motor vehicle thefts in New Jersey	r=0.89	38yrs	165
Motor vehicle thefts in New York	r=0.89	38yrs	155

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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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