Top variables that correlate with Popularity of the first name Consuelo

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

Variable	Correlation	Years	Sys. Score
Arson in Texas	r=0.96	38yrs	416
Arson in New Jersey	r=0.95	38yrs	414
Motor vehicle thefts in Michigan	r=0.95	38yrs	414
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Lloyds Banking Group's stock price (LYG)	r=0.91	21yrs	394
Gasoline pumped in France	r=0.91	43yrs	394
Kerosene used in Uruguay	r=0.92	42yrs	394
Kerosene used globally	r=0.91	42yrs	393
AIG's stock price (AIG)	r=0.9	21yrs	392
The number of travel agents in Minnesota	r=0.96	20yrs	390
Carjackings in the US	r=0.91	27yrs	387
The distance between Neptune and the Sun	r=0.92	48yrs	384
The distance between Neptune and Earth	r=0.92	48yrs	384
The distance between Neptune and Mercury	r=0.92	48yrs	384
The marriage rate in Nevada	r=0.95	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Idaho	r=0.93	23yrs	378
The marriage rate in Tennessee	r=0.93	23yrs	378
Milk consumption	r=0.91	32yrs	374
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
The wind speed in Austin	r=0.92	39yrs	374
Arson in United States	r=0.94	38yrs	372
Google searches for 'learn spanish'	r=0.9	19yrs	372
Viewership count for Days of Our Lives	r=0.89	47yrs	371
Kerosene used in Thailand	r=0.91	42yrs	363
Air pollution in New York City	r=0.91	43yrs	362
Air pollution in Philadelphia, Pennsylvania	r=0.93	43yrs	362
Air pollution in Atlantic City, New Jersey	r=0.92	43yrs	360
Motor vehicle thefts	r=0.91	38yrs	358
Orange's stock price (ORAN)	r=0.87	21yrs	358
The number of file clerks in Idaho	r=0.95	20yrs	358
The number of postal service machine operators in Kansas	r=0.95	20yrs	358
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
US household spending on books	r=0.91	23yrs	356
The distance between Neptune and the moon	r=0.92	48yrs	354
US household spending on clothin for women	r=0.9	23yrs	354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	353
Gasoline pumped in Germany	r=0.94	32yrs	348
The marriage rate in Wyoming	r=0.93	23yrs	348
US birth rates of triplets or more	r=0.87	20yrs	344
The divorce rate in Alabama	r=0.92	23yrs	338
Petroluem consumption in Germany	r=0.93	32yrs	336
The number of postal service machine operators in New Jersey	r=0.95	20yrs	328
Air pollution in Baltimore, Maryland	r=0.91	43yrs	328
The marriage rate in Alabama	r=0.92	23yrs	327
Citigroup's stock price (C)	r=0.86	21yrs	326
Violent crime rates	r=0.89	38yrs	325
US average milk-fat content of frozen dairy products	r=0.92	22yrs	323
Air pollution in Oxnard, California	r=0.91	43yrs	318
The marriage rate in Arkansas	r=0.92	23yrs	317
The number of CEOs in Alabama	r=0.93	20yrs	317
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	314
Arson in North Carolina	r=0.93	38yrs	311
The divorce rate in North Carolina	r=0.91	23yrs	307
The number of conveyor operators in Alabama	r=0.94	20yrs	307
Air pollution in Philadelphia, Pennsylvania	r=0.9	43yrs	307
Arson in Oklahoma	r=0.93	38yrs	301
The divorce rate in Tennessee	r=0.91	23yrs	297
The number of postal service machine operators in California	r=0.94	20yrs	297
Petroluem consumption in Denmark	r=0.9	43yrs	292
Arson in California	r=0.93	38yrs	291
The number of postal service machine operators in Colorado	r=0.94	20yrs	287
The marriage rate in Ohio	r=0.91	23yrs	286
Kerosene used in United States	r=0.9	43yrs	282
Burglaries in Hawaii	r=0.93	38yrs	281
The number of proofreaders in Connecticut	r=0.94	20yrs	277
The marriage rate in South Dakota	r=0.91	23yrs	276
Burglaries in Maryland	r=0.93	38yrs	271
Kerosene used in Norway	r=0.89	43yrs	271
The number of sewing machine operators in Illinois	r=0.94	20yrs	267
The marriage rate in South Carolina	r=0.9	23yrs	264
Burglaries in Utah	r=0.93	38yrs	261
Kerosene used in Peru	r=0.89	42yrs	260
The number of postal service machine operators in North Dakota	r=0.94	20yrs	257
The marriage rate in Virginia	r=0.9	23yrs	254
Burglaries in Wyoming	r=0.93	38yrs	251
The number of cashiers in Ohio	r=0.94	20yrs	247
Kerosene used in Argentina	r=0.87	42yrs	247
Motor vehicle thefts in Illinois	r=0.93	38yrs	241
The number of boiler operators in Ohio	r=0.94	20yrs	237
Gasoline pumped in Austria	r=0.86	43yrs	236
Arson in Connecticut	r=0.92	38yrs	230
The number of postal service machine operators in Oregon	r=0.94	20yrs	227
Kerosene used in Cuba	r=0.86	42yrs	226
Burglaries in Illinois	r=0.92	38yrs	220
The number of prepress technicians and workers in Virginia	r=0.94	20yrs	217
Kerosene used in Portugal	r=0.85	43yrs	215
Motor vehicle thefts in Pennsylvania	r=0.92	38yrs	210
The number of postal service machine operators in Washington	r=0.94	20yrs	207
Kerosene used in Turkiye	r=0.85	43yrs	205
Motor vehicle thefts in Florida	r=0.92	38yrs	200
The number of carpenters in Puerto Rico	r=0.94	20yrs	197
Gasoline pumped in Bulgaria	r=0.85	42yrs	194
Arson in Maryland	r=0.91	38yrs	188
The number of electricians in Puerto Rico	r=0.94	20yrs	187
Gasoline pumped in Lithuania	r=0.89	31yrs	179
The number of plumbers in Puerto Rico	r=0.93	20yrs	177
The number of brickmasons in Arkansas	r=0.93	20yrs	166
Gasoline pumped in Slovenia	r=0.87	31yrs	166
Gasoline pumped in Latvia	r=0.85	31yrs	153

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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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