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

VariableCorrelationYearsSys. Score
Kerosene used in Venezuelar=0.9742yrs432
Gasoline pumped in Bulgariar=0.9642yrs430
Carjackings in the USr=0.9627yrs424
Average number of milk cows in the United Statesr=0.9143yrs418
Burglaries in Colorador=0.9838yrs418
Robberies in Oregonr=0.9838yrs418
Viewership count for Days of Our Livesr=0.9147yrs404
Air pollution in Los Angelesr=0.9743yrs400
Kerosene used in Turkiyer=0.9543yrs400
Remaining Forest Cover in the Brazilian Amazonr=0.9436yrs399
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Oxnard, Californiar=0.9741yrs396
The distance between Neptune and Mercuryr=0.9548yrs388
Arson in New Yorkr=0.9738yrs387
The distance between Neptune and Earthr=0.9448yrs386
The distance between Neptune and the moonr=0.9448yrs386
Burglaries in New Yorkr=0.9738yrs377
The marriage rate in Missourir=0.9223yrs377
The marriage rate in North Carolinar=0.9223yrs377
The marriage rate in Ohior=0.9223yrs377
Frozen yogurt consumptionr=0.9332yrs375
The wind speed in Austinr=0.9139yrs373
The wind speed in Nashviller=0.9139yrs373
Petroluem consumption in Bulgariar=0.9442yrs368
Burglaries in Oregonr=0.9738yrs367
Air pollution in San Diego, Californiar=0.9643yrs366
Highest Nielsen rating for a TV show each yearr=0.8946yrs366
General Electric's stock price (GE)r=0.8821yrs362
Gasoline pumped in Cubar=0.9442yrs358
Burglaries in Californiar=0.9738yrs357
Air pollution in San Diego, Californiar=0.9643yrs356
The number of switchboard operators in Hawaiir=0.9320yrs356
The distance between Neptune and the Sunr=0.9348yrs355
The number of tool and die makers in Californiar=0.9220yrs354
The number of cutters and trimmers, hand in Californiar=0.9220yrs354
US household spending on clothing for menr=0.923yrs354
Votes for the Republican Presidential candidate in Washington, D.C.r=0.9412yrs352
Gasoline pumped in Somaliar=0.9442yrs348
The marriage rate in South Dakotar=0.9223yrs347
Physical album shipment volume in the United Statesr=0.924yrs345
Burglaries in Connecticutr=0.9538yrs344
The wind speed in San Diegor=0.939yrs342
Kerosene used in Mexicor=0.9540yrs337
The marriage rate in Texasr=0.9223yrs337
The marriage rate in Virginiar=0.9223yrs327
Kerosene used in Argentinar=0.9342yrs326
The number of computer programmers in Connecticutr=0.9120yrs324
Burglary rates in the USr=0.9338yrs321
The marriage rate in Wisconsinr=0.9223yrs317
Kerosene used in Cubar=0.9342yrs316
The number of professional painters in Georgiar=0.9220yrs314
Air pollution in New York Cityr=0.9243yrs313
Arson in United Statesr=0.9238yrs310
Kerosene used in Ecuadorr=0.9342yrs306
The marriage rate in Arizonar=0.9123yrs306
The number of data entry keyers in Tennesseer=0.9220yrs304
Air pollution in Oxnard, Californiar=0.9343yrs302
Petroluem consumption in Romaniar=0.9342yrs296
The marriage rate in Arkansasr=0.9123yrs296
Air pollution in Riverside, Californiar=0.9343yrs292
The number of data entry keyers in Marylandr=0.9120yrs292
Kerosene used in Thailandr=0.9342yrs286
The marriage rate in Louisianar=0.9123yrs286
Burglaries in Washingtonr=0.9538yrs284
The number of painting, coating, and decorating workers in Michiganr=0.9120yrs282
The marriage rate in South Carolinar=0.9123yrs276
Kerosene used in Brazilr=0.9242yrs274
Motor vehicle thefts in Massachusettsr=0.9538yrs274
Air pollution in Steamboat Springs, Colorador=0.9138yrs274
The number of cutters and trimmers, hand in Minnesotar=0.9120yrs272
The marriage rate in Tennesseer=0.9123yrs266
Gasoline pumped in Francer=0.9143yrs264
Burglaries in Montanar=0.9438yrs262
The number of file clerks in Missourir=0.9120yrs262
Kerosene used in Uruguayr=0.9242yrs254
Burglaries in New Mexicor=0.9438yrs252
The number of insurance claims and policy processing clerks in New Yorkr=0.9120yrs252
Kerosene used in Egyptr=0.9142yrs243
Burglaries in Oklahomar=0.9438yrs242
The number of cutters and trimmers, hand in New Yorkr=0.9120yrs242
Kerosene used in Hong Kongr=0.942yrs232
Burglaries in Rhode Islandr=0.9438yrs232
The number of cooks, institution and cafeteria in Virgin Islandsr=0.9218yrs232
The marriage rate in Kentuckyr=0.923yrs224
Burglaries in Texasr=0.9438yrs222
The number of drywall and ceiling tile installers in Marylandr=0.920yrs221
The marriage rate in Wyomingr=0.923yrs214
Robberies in Michiganr=0.9438yrs212
Jet fuel used in Ukrainer=0.9130yrs211
The number of travel agents in Virginiar=0.920yrs211
The marriage rate in Idahor=0.8923yrs202
Arson in Colorador=0.9338yrs201
The number of laundry and dry-cleaning workers in Puerto Ricor=0.920yrs201
The marriage rate in Kansasr=0.8923yrs192
Burglaries in Floridar=0.9338yrs191
The marriage rate in Nevadar=0.8923yrs182
Kerosene used in Romaniar=0.8942yrs180
The divorce rate in Alabamar=0.8723yrs171
Kerosene used in Pakistanr=0.8742yrs167
The divorce rate in Tennesseer=0.8723yrs161
The marriage rate in Minnesotar=0.8723yrs150


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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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