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

VariableCorrelationYearsHas img?
Arson in New Yorkr=0.9738yrsNo
Arson in Californiar=0.9438yrsNo


Popularity of the first name Lawrence also correlates with...

VariableCorrelationYearsSys. Score
Kerosene used in Venezuelar=0.9742yrs432
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs430
Kerosene used in Argentinar=0.9542yrs429
The distance between Neptune and Mercuryr=0.9648yrs420
Burglaries in New Yorkr=0.9938yrs420
The distance between Neptune and Earthr=0.9548yrs418
The distance between Neptune and the moonr=0.9548yrs418
Burglaries in Californiar=0.9838yrs418
Burglaries in Connecticutr=0.9838yrs418
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Arkansasr=0.9623yrs413
The marriage rate in Idahor=0.9623yrs413
The marriage rate in Nevadar=0.9623yrs413
Viewership count for Days of Our Livesr=0.9247yrs406
Kerosene used in Turkiyer=0.9543yrs400
Air pollution in Los Angelesr=0.9643yrs399
Air pollution in Los Angelesr=0.9543yrs398
Air pollution in San Diego, Californiar=0.9643yrs396
The number of data entry keyers in Californiar=0.9720yrs392
The number of sewing machine operators in Californiar=0.9620yrs390
The number of file clerks in Colorador=0.9620yrs390
Motor vehicle thefts in Massachusettsr=0.9838yrs388
Average number of milk cows in the United Statesr=0.8943yrs386
The marriage rate in Virginiar=0.9623yrs383
US birth rates of triplets or morer=0.9120yrs380
The wind speed in San Diegor=0.9539yrs379
Google searches for 'panama canal'r=0.9419yrs378
Google searches for 'Panama Canal'r=0.9419yrs378
The wind speed in Austinr=0.9439yrs378
The wind speed in Nashviller=0.9339yrs376
Frozen yogurt consumptionr=0.9232yrs374
The marriage rate in Tennesseer=0.9523yrs372
Cottage cheese consumptionr=0.932yrs370
Gasoline pumped in Bulgariar=0.9442yrs368
Robberies in New Yorkr=0.9738yrs367
Air pollution in San Diego, Californiar=0.9643yrs366
US household spending on clothingr=0.9523yrs362
Highest Nielsen rating for a TV show each yearr=0.8646yrs361
The number of photographers in Connecticutr=0.9620yrs360
AIG's stock price (AIG)r=0.8921yrs360
US household spending on clothing for menr=0.9423yrs360
Gasoline pumped in Cubar=0.9442yrs358
The distance between Neptune and the Sunr=0.9548yrs358
Robberies in Oregonr=0.9738yrs357
Air pollution in Oxnard, Californiar=0.9641yrs354
The number of typists in Connecticutr=0.9620yrs350
Kerosene used in Cubar=0.9442yrs348
Burglaries in Colorador=0.9638yrs346
The number of sewing machine operators in Massachusettsr=0.9620yrs340
Kerosene used in Thailandr=0.9442yrs338
Motor vehicle thefts in New Jerseyr=0.9638yrs336
The marriage rate in Ohior=0.9523yrs332
The number of data entry keyers in Nebraskar=0.9620yrs330
Kerosene used in Uruguayr=0.9442yrs328
Burglaries in Floridar=0.9538yrs324
The marriage rate in South Dakotar=0.9523yrs322
The number of sewing machine operators in New Yorkr=0.9620yrs320
Carjackings in the USr=0.9527yrs318
Gasoline pumped in Francer=0.9343yrs317
Burglaries in Rhode Islandr=0.9538yrs314
Air pollution in Riverside, Californiar=0.9443yrs313
The divorce rate in Tennesseer=0.9423yrs312
The number of meter readers, utilities in Wisconsinr=0.9620yrs310
Kerosene used in Mexicor=0.9440yrs306
Air pollution in Oxnard, Californiar=0.9343yrs302
The marriage rate in Kentuckyr=0.9423yrs300
The number of data entry keyers in New Yorkr=0.9520yrs298
Petroluem consumption in Romaniar=0.9342yrs296
Arson in United Statesr=0.9438yrs292
The marriage rate in Missourir=0.9423yrs290
The number of electrical and electronics repairers, commercial and industrial equipment in New Yorkr=0.9520yrs288
Kerosene used in Ecuadorr=0.9242yrs284
Burglary rates in the USr=0.9438yrs282
The marriage rate in Wisconsinr=0.9423yrs280
The number of data entry keyers in Tennesseer=0.9520yrs278
Gasoline pumped in Somaliar=0.9242yrs274
The marriage rate in Wyomingr=0.9423yrs270
Arson in Idahor=0.9522yrs268
The number of professional painters in Virginiar=0.9520yrs268
Kerosene used in Brazilr=0.9142yrs263
The divorce rate in Alabamar=0.9323yrs260
Robberies in the USr=0.938yrs256
Petroluem consumption in Bulgariar=0.9142yrs253
The marriage rate in Arizonar=0.9323yrs248
Kerosene used in Egyptr=0.9142yrs243
The marriage rate in North Carolinar=0.9323yrs238
Kerosene used in Hong Kongr=0.942yrs232
The number of telemarketers in Illinoisr=0.9520yrs230
The marriage rate in South Carolinar=0.9323yrs228
Burglaries in Texasr=0.9538yrs224
The divorce rate in North Carolinar=0.9223yrs218
Jet fuel used in Ukrainer=0.9530yrs217
Robberies in Michiganr=0.9538yrs214
The marriage rate in Alabamar=0.9223yrs207
Petroluem consumption in Ukrainer=0.9130yrs201
The marriage rate in Louisianar=0.9223yrs197
Arson in Colorador=0.9438yrs192
The divorce rate in New Hampshirer=0.9123yrs187
Fossil fuel use in Sierra Leoner=0.8942yrs173


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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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