Top variables that correlate with Popularity of the first name Edgardo

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.92	38yrs	420
Physical album shipment volume in the United States	r=0.97	24yrs	416
Google searches for 'report UFO sighting'	r=0.95	19yrs	415
The divorce rate in Alabama	r=0.96	23yrs	414
The marriage rate in Idaho	r=0.96	23yrs	413
The marriage rate in Nevada	r=0.95	23yrs	412
Google searches for 'learn spanish'	r=0.95	19yrs	409
Motor vehicle thefts	r=0.9	38yrs	396
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.97	22yrs	390
The number of typists in Florida	r=0.96	20yrs	390
The number of prepress technicians and workers in Illinois	r=0.96	20yrs	390
The number of typists in Iowa	r=0.96	20yrs	390
US average milk-fat content of frozen dairy products	r=0.95	22yrs	388
US birth rates of triplets or more	r=0.94	20yrs	384
Robberies in Kansas	r=0.95	38yrs	384
Gasoline pumped in Germany	r=0.92	32yrs	384
Jet fuel used in Ukraine	r=0.91	30yrs	381
Petroluem consumption in Uzbekistan	r=0.91	30yrs	381
US milk fat used to produce fluid beverage milk	r=0.95	22yrs	380
Google searches for 'black holes'	r=0.95	19yrs	379
U.S. intercountry adoptions	r=0.91	23yrs	376
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
GMO use in cotton	r=0.93	23yrs	362
US household spending on floor coverings	r=0.95	23yrs	362
The number of postal service machine operators in Minnesota	r=0.96	20yrs	360
Remaining Forest Cover in the Brazilian Amazon	r=0.86	36yrs	357
US household spending on clothin for women	r=0.91	23yrs	356
US household spending on clothing	r=0.9	23yrs	354
US household spending on books	r=0.9	23yrs	354
Motor vehicle thefts in Indiana	r=0.94	38yrs	352
The number of sewing machine operators in Pennsylvania	r=0.96	20yrs	350
The marriage rate in Wyoming	r=0.94	23yrs	350
Milk consumption	r=0.92	32yrs	345
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	344
GMO use in corn grown in Iowa	r=0.93	23yrs	344
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
Robberies in Maryland	r=0.93	38yrs	341
The divorce rate in Kentucky	r=0.93	23yrs	340
Popularity of the 'all your base' meme	r=0.86	17yrs	340
The number of compensation and benefits managers in Kansas	r=0.96	19yrs	339
Cottage cheese consumption	r=0.92	32yrs	334
Robberies in Texas	r=0.93	38yrs	331
The divorce rate in North Carolina	r=0.93	23yrs	330
The number of compensation and benefits managers in Pennsylvania	r=0.96	19yrs	329
Motor vehicle thefts in Louisiana	r=0.92	38yrs	320
Gasoline pumped in United Kingdom	r=0.88	43yrs	320
The number of file clerks in Illinois	r=0.95	20yrs	318
The marriage rate in Alabama	r=0.93	23yrs	318
GMO use in corn grown in Minnesota	r=0.91	23yrs	312
Motor vehicle thefts in Florida	r=0.92	38yrs	310
Google searches for 'matt parker'	r=0.89	19yrs	310
The number of file clerks in Michigan	r=0.95	20yrs	308
The marriage rate in Arkansas	r=0.93	23yrs	308
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	308
Gasoline pumped in Spain	r=0.87	43yrs	308
GMO use in corn grown in Texas	r=0.95	18yrs	302
Robberies in Virginia	r=0.92	38yrs	300
The number of cutters and trimmers, hand in North Carolina	r=0.95	20yrs	298
The divorce rate in Wyoming	r=0.92	23yrs	298
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	294
GMO use in cotton in Texas	r=0.93	23yrs	292
Gasoline pumped in Latvia	r=0.9	31yrs	290
The number of hydrologists in Wisconsin	r=0.95	20yrs	288
Motor vehicle thefts in Ohio	r=0.91	38yrs	288
The divorce rate in Tennessee	r=0.91	23yrs	287
US average milk-fat content of cottage cheese	r=0.93	22yrs	284
GMO use in cotton in North Carolina	r=0.92	23yrs	280
The number of switchboard operators in Wisconsin	r=0.95	20yrs	278
Motor vehicle thefts in Pennsylvania	r=0.91	38yrs	278
Petroluem consumption in Germany	r=0.88	32yrs	278
The marriage rate in Virginia	r=0.91	23yrs	276
Carjackings in the US	r=0.89	27yrs	274
The number of compensation and benefits managers in Kentucky	r=0.95	19yrs	268
Robberies in Louisiana	r=0.91	38yrs	268
Gasoline pumped in Lithuania	r=0.87	31yrs	266
The marriage rate in South Dakota	r=0.9	23yrs	264
Frozen yogurt consumption	r=0.89	32yrs	259
The number of compensation and benefits managers in Maine	r=0.95	19yrs	258
Robberies in Missouri	r=0.91	38yrs	258
Petroluem consumption in Ukraine	r=0.88	30yrs	256
The number of compensation and benefits managers in South Carolina	r=0.95	19yrs	248
Motor vehicle thefts in Georgia	r=0.9	38yrs	246
Liquefied petroleum gas used in Belarus	r=0.86	30yrs	244
Motor vehicle thefts in Virginia	r=0.9	38yrs	236
The divorce rate in Florida	r=0.89	23yrs	224
Robberies in the US	r=0.88	38yrs	214
The divorce rate in Mississippi	r=0.89	23yrs	214
The number of telemarketers in California	r=0.95	20yrs	210
The marriage rate in Kentucky	r=0.89	23yrs	202
The number of bill collectors in Maryland	r=0.95	20yrs	200
The marriage rate in Tennessee	r=0.89	23yrs	192
The number of legislators in Pennsylvania	r=0.95	20yrs	190
The divorce rate in Washington	r=0.88	23yrs	182
The number of file clerks in Alabama	r=0.95	19yrs	178
Arson in North Carolina	r=0.9	38yrs	176
The marriage rate in Louisiana	r=0.88	23yrs	171
The number of sewing machine operators in Alabama	r=0.95	20yrs	168
Robberies in Illinois	r=0.9	38yrs	166
The divorce rate in Arkansas	r=0.87	23yrs	161
Motor vehicle thefts in Maryland	r=0.89	38yrs	155
The divorce rate in Oregon	r=0.87	23yrs	151

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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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