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

VariableCorrelationYearsHas img?
The number of brickmasons in Californiar=0.9320yrsNo
Barclays' stock price (BCS)r=0.8721yrsNo
Popularity of the 'harambe' memer=0.877yrsNo
Google searches for 'Panama Canal'r=0.8719yrsNo



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

VariableCorrelationYearsSys. Score
UBS Group AG's stock price (UBS)r=0.8721yrs358
Citigroup's stock price (C)r=0.8621yrs356
The number of groundskeepers in Californiar=0.9320yrs356
The number of receptionists in Nebraskar=0.9220yrs356
GMO use in cotton in Alabamar=0.918yrs332
Sumitomo Mitsui Financial Group's stock price (SMFG)r=0.8819yrs326
The number of tapers in Arizonar=0.9220yrs324
ING Groep's stock price (ING)r=0.8621yrs316
The number of cutters and trimmers, hand in Michiganr=0.9220yrs314
Lloyds Banking Group's stock price (LYG)r=0.8621yrs306
The number of mechanical drafters in New Mexicor=0.9220yrs304
The number of hydrologists in Wyomingr=0.9220yrs294
The number of advertising sales agents in Alabamar=0.9120yrs282
US Motorcycle Manufacturing Industry Revenuer=0.8612yrs274
The number of jewelers in Mainer=0.9120yrs272
The number of vending machine repairers in Missourir=0.920yrs262
The number of brickmasons in Virginiar=0.9120yrs252
Petroluem consumption in Francer=0.7648yrs242
The number of cabinetmakers in Iowar=0.920yrs241
Petroluem consumption in United Kingdomr=0.7148yrs234
The number of millwrights in Oregonr=0.920yrs231
Google searches for 'learn spanish'r=0.8519yrs229
Google searches for 'snoop dog'r=0.8519yrs229
US Employment Rater=0.7633yrs228
Kerosene used in Indonesiar=0.7142yrs228
U.S. intercountry adoptionsr=0.8223yrs227
Motor vehicle thefts in Nevadar=0.7838yrs224
The number of carpenters in Vermontr=0.920yrs221
Motor vehicle thefts in West Virginiar=0.7638yrs220
Motor vehicle thefts in North Carolinar=0.7438yrs218
The number of laundry and dry-cleaning workers in Puerto Ricor=0.920yrs211
Total value of all $1 bills printedr=0.7533yrs211
Sherbet consumptionr=0.7332yrs210
The distance between Neptune and the Sunr=0.6148yrs202
The distance between Neptune and Earthr=0.6148yrs202
The distance between Neptune and the moonr=0.6148yrs202
The number of ticket agents in Puerto Ricor=0.919yrs200
Petroluem consumption in Italyr=0.6748yrs198
Popularity of the 'all your base' memer=0.8217yrs198
Google searches for 'panama canal'r=0.8319yrs196
Air pollution in Kingsport, Tennesseer=0.7243yrs195
NASA's budget as a percentage of the total US Federal Budgetr=0.5948yrs194
The marriage rate in Wyomingr=0.7823yrs191
General Electric's stock price (GE)r=0.8321yrs190
US production of cottage cheeser=0.7822yrs190
US dairy skim solids used to produce cottage cheeser=0.7922yrs190
Automotive recalls for issues with the Electrical Systemr=-0.6148yrs190
Air pollution in Virginia Beach, Virginiar=0.6943yrs190
Air pollution in Salisbury, Marylandr=0.7140yrs190
The number of bridge and lock tenders in Mississippir=0.917yrs188
Kerosene used in Montserratr=0.7635yrs188
The marriage rate in Floridar=0.7623yrs188
GMO use in cotton in Mississippir=0.823yrs187
The marriage rate in Hawaiir=0.7523yrs186
Motor vehicle thefts in South Carolinar=0.7238yrs184
Physical album shipment volume in the United Statesr=0.7324yrs184
Number of edits to the Wikipedia article for Britney Spearsr=0.722yrs182
AIG's stock price (AIG)r=0.8421yrs178
Kerosene used in Central African Republicr=0.7335yrs174
Robberies in Alabamar=0.7238yrs174
HSBC Holdings' stock price (HSBC)r=0.8221yrs165
Nuclear power generation in Germanyr=0.7231yrs162
Robberies in Arizonar=0.6938yrs160
Air pollution in Richmond, Virginiar=0.6843yrs159
The marriage rate in Oregonr=0.7423yrs155
The number of telemarketers in Floridar=0.920yrs152
Google searches for 'black holes'r=0.819yrs152
Fossil fuel use in Hungaryr=0.6442yrs150
Robberies in North Carolinar=0.6938yrs150
Air pollution in Pittsburghr=0.6543yrs148
The marriage rate in Alaskar=0.7323yrs144
The number of authors in Missourir=0.920yrs142
Kerosene used in Japanr=0.6543yrs140
Robberies in South Carolinar=0.6738yrs137
The marriage rate in Idahor=0.7323yrs134
Air pollution in Gulfport, Mississippir=0.6739yrs134
The number of carpet installers in Arizonar=0.8920yrs131
Petroluem consumption in Antarcticar=0.6542yrs129
Robberies in Pennsylvaniar=0.6538yrs124
Air pollution in Baton Rouger=0.6243yrs123
Weyerhaeuser Company's stock price (WY)r=0.7921yrs120
Jet fuel used in Cubar=0.6442yrs118
Air quality in Santa Fe, New Mexicor=0.6443yrs113
Gasoline pumped in Swedenr=0.6443yrs108
Deutsche Bank Aktiengesellschaft's stock price (DB)r=0.7721yrs108
Air pollution in Scranton, Pennsylvaniar=0.6443yrs103
Gasoline pumped in Latviar=0.7131yrs97
Air pollution in Charlotte, North Carolinar=0.6343yrs92
Petroluem consumption in Swedenr=0.6343yrs87
Air pollution in Columbia, South Carolinar=0.6343yrs82
Air pollution in Kingsport, Tennesseer=0.6343yrs72
Fossil fuel use in Czechiar=0.729yrs46
Petroluem consumption in Denmarkr=0.6143yrs34
Gasoline pumped in Norwayr=0.6143yrs24
Hydopower energy generated in Syriar=0.5942yrs13
Petroluem consumption in American Samoar=0.6142yrs3
Kerosene used globallyr=0.642yrs-8


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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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