Top variables that correlate with Popularity of the first name Rudy

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Motor vehicle thefts	r=0.96	38yrs	436
Robberies in the US	r=0.95	38yrs	434
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Gasoline pumped in Austria	r=0.96	43yrs	432
Gasoline pumped in France	r=0.96	43yrs	432
Kerosene used in Egypt	r=0.95	42yrs	429
NASA's budget as a percentage of the total US Federal Budget	r=0.9	48yrs	405
Violent crime rates	r=0.94	38yrs	392
The distance between Neptune and the Sun	r=0.91	48yrs	382
Physical album shipment volume in the United States	r=0.93	24yrs	380
The distance between Neptune and Earth	r=0.9	48yrs	380
The distance between Neptune and the moon	r=0.9	48yrs	380
Motor vehicle thefts in New Jersey	r=0.98	38yrs	378
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	378
The marriage rate in Idaho	r=0.93	23yrs	378
The marriage rate in Wyoming	r=0.93	23yrs	378
The divorce rate in Alabama	r=0.92	23yrs	378
The wind speed in Austin	r=0.93	39yrs	376
Cottage cheese consumption	r=0.93	32yrs	375
U.S. intercountry adoptions	r=0.9	23yrs	374
Milk consumption	r=0.91	32yrs	374
Google searches for 'learn spanish'	r=0.92	19yrs	374
The wind speed in San Diego	r=0.92	39yrs	374
Google searches for 'black holes'	r=0.91	19yrs	373
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	367
Kerosene used in Pakistan	r=0.93	42yrs	366
Viewership count for Days of Our Lives	r=0.86	47yrs	366
Air pollution in Oxnard, California	r=0.94	43yrs	363
Air pollution in Riverside, California	r=0.93	43yrs	362
Air pollution in Santa Maria, California	r=0.93	43yrs	362
AIG's stock price (AIG)	r=0.88	21yrs	359
The number of payroll and timekeeping clerks in Michigan	r=0.95	20yrs	358
The number of compensation and benefits managers in North Carolina	r=0.95	19yrs	358
Motor vehicle thefts in Texas	r=0.97	38yrs	357
The number of maintenance and repair workers in Alabama	r=0.94	20yrs	357
US household spending on floor coverings	r=0.92	23yrs	357
Kerosene used in Thailand	r=0.93	42yrs	356
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
Motor vehicle thefts in Texas	r=0.97	38yrs	347
The marriage rate in Nevada	r=0.91	23yrs	346
US birth rates of triplets or more	r=0.88	20yrs	346
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
Kerosene used in Argentina	r=0.92	42yrs	344
GMO use in corn grown in Iowa	r=0.91	23yrs	342
GMO use in cotton in North Carolina	r=0.93	23yrs	342
Motor vehicle thefts in Texas	r=0.97	38yrs	337
The divorce rate in North Carolina	r=0.9	23yrs	336
Kerosene used in Cuba	r=0.91	42yrs	333
Motor vehicle thefts in Illinois	r=0.97	38yrs	327
The number of sewing machine operators in Alabama	r=0.94	20yrs	327
Air pollution in San Diego, California	r=0.9	43yrs	327
The marriage rate in Alabama	r=0.9	23yrs	324
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	323
The distance between Neptune and Mercury	r=0.88	48yrs	318
The number of postal service machine operators in Arizona	r=0.94	20yrs	317
Arson in New Jersey	r=0.96	38yrs	316
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	316
Gasoline pumped in Germany	r=0.91	32yrs	313
The number of file clerks in Illinois	r=0.94	20yrs	307
Arson in Texas	r=0.96	38yrs	306
Petroluem consumption in Uzbekistan	r=0.92	30yrs	302
The number of computer programmers in Kentucky	r=0.93	20yrs	297
Burglaries in Florida	r=0.96	38yrs	296
Gasoline pumped in Latvia	r=0.9	31yrs	290
The number of postal service machine operators in Louisiana	r=0.94	20yrs	287
Burglaries in Connecticut	r=0.96	38yrs	286
The divorce rate in Kentucky	r=0.88	23yrs	282
Liquefied petroleum gas used in Greenland	r=0.95	22yrs	279
The number of postal service machine operators in Michigan	r=0.94	20yrs	277
Motor vehicle thefts in Maine	r=0.96	38yrs	276
The divorce rate in Mississippi	r=0.88	23yrs	272
The number of surveyors in Nevada	r=0.94	20yrs	267
Motor vehicle thefts in New Hampshire	r=0.96	38yrs	266
Geothermal power generated in Austria	r=0.91	17yrs	261
The divorce rate in Iowa	r=0.87	23yrs	261
The number of coil winders, tapers, and finishers in New Hampshire	r=0.94	20yrs	257
Motor vehicle thefts in Rhode Island	r=0.96	38yrs	256
Carjackings in the US	r=0.89	27yrs	254
The divorce rate in Utah	r=0.86	23yrs	250
The number of postal service machine operators in Ohio	r=0.94	20yrs	247
Robberies in New York	r=0.96	38yrs	246
Gasoline pumped in Belgium	r=0.88	43yrs	240
The divorce rate in Wyoming	r=0.86	23yrs	240
The number of sewing machine operators in Pennsylvania	r=0.94	20yrs	237
Robberies in Washington	r=0.96	38yrs	236
Gasoline pumped in United Kingdom	r=0.88	43yrs	230
The number of file clerks in Wisconsin	r=0.94	20yrs	227
Burglaries in New York	r=0.95	38yrs	224
Kerosene used in Macau	r=0.88	42yrs	218
The number of postal service machine operators in Alabama	r=0.93	20yrs	216
Petroluem consumption in North Korea	r=0.88	42yrs	208
The number of public relations specialists in Connecticut	r=0.93	20yrs	206
Kerosene used in North Korea	r=0.88	42yrs	198
The number of data entry keyers in District of Columbia	r=0.93	20yrs	196
Gasoline pumped in Cuba	r=0.87	42yrs	187
The number of postal service machine operators in Florida	r=0.93	20yrs	186
The number of postal service machine operators in Illinois	r=0.93	20yrs	176
Kerosene used in Brazil	r=0.86	42yrs	176
The number of postal service machine operators in Indiana	r=0.93	20yrs	166
Kerosene used in Peru	r=0.86	42yrs	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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