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

VariableCorrelationYearsSys. Score
NASA's budget as a percentage of the total US Federal Budgetr=0.8748yrs370
Viewership count for Days of Our Livesr=0.8547yrs365
Robberies in the USr=0.8838yrs364
Remaining Forest Cover in the Brazilian Amazonr=0.8736yrs358
The distance between Neptune and the Sunr=0.8848yrs348
The distance between Neptune and Earthr=0.8848yrs348
The distance between Neptune and the moonr=0.8848yrs348
Burglaries in South Dakotar=0.938yrs346
Arson in Wisconsinr=0.8938yrs345
The divorce rate in Arizonar=0.8623yrs340
Frozen yogurt consumptionr=0.8632yrs334
Air pollution in Santa Maria, Californiar=0.8643yrs321
The number of computer programmers in Georgiar=0.8720yrs318
The number of tool and die makers in Louisianar=0.8820yrs318
The number of chemical engineers in Minnesotar=0.8820yrs318
Air quality in Carlsbad, New Mexicor=0.8737yrs316
Robberies in Louisianar=0.8938yrs315
The distance between Neptune and Mercuryr=0.8648yrs314
Robberies in New Jerseyr=0.8938yrs305
How nerdy 3Blue1Brown YouTube video titles arer=0.948yrs301
Arson in Indianar=0.8838yrs294
Burglaries in District of Columbiar=0.8838yrs284
The number of insurance claims and policy processing clerks in Pennsylvaniar=0.8520yrs284
Patents granted to Sonyr=0.8912yrs282
Arson in North Carolinar=0.8738yrs262
Arson in Texasr=0.8738yrs252
The number of special education teachers in Kansasr=0.911yrs252
Gasoline pumped in Austriar=0.8443yrs248
Kerosene used in Thailandr=0.8442yrs248
Kerosene used in Cubar=0.8242yrs244
Customer satisfaction with Frontier Communicationsr=0.7528yrs243
Burglaries in Kansasr=0.8738yrs242
Robberies in Marylandr=0.8738yrs232
Milk consumptionr=0.8332yrs226
The wind speed in Austinr=0.8339yrs226
Emmy Awards Ceremony viewershipr=0.7136yrs224
Highest Nielsen rating for a TV show each yearr=0.6446yrs223
Robberies in Connecticutr=0.8738yrs222
Cottage cheese consumptionr=0.7832yrs218
The wind speed in San Diegor=0.7839yrs218
Gasoline pumped in Francer=0.8143yrs214
Total number of automotive recallsr=-0.8448yrs214
Freezing temperatures in Las Vegasr=0.747yrs214
Air pollution in Oxnard, Californiar=0.8443yrs213
Robberies in Connecticutr=0.8738yrs212
Automotive recalls issued by BMW of North Americar=-0.7747yrs210
Automotive recalls for issues with the Electrical Systemr=-0.7948yrs208
Automotive recalls for issues with Exterior Lightingr=-0.7948yrs208
Automotive recalls issued by Hondar=-0.7248yrs206
Automotive recalls issued by Nissan North Americar=-0.7348yrs206
Automotive recalls for issues with the Power Trainr=-0.7648yrs205
Violent crime ratesr=0.8538yrs204
Kerosene used in Argentinar=0.8142yrs203
Arson in New Jerseyr=0.8638yrs200
Gasoline pumped in Cubar=0.8142yrs193
Arson in Ohior=0.8638yrs190
Kerosene used in Egyptr=0.8142yrs183
The wind speed in Milwaukeer=0.7439yrs182
Average milk produced per cow in the USr=-0.8443yrs181
Arson in Ohior=0.8638yrs180
Air pollution in Oxnard, Californiar=0.8243yrs180
Kerosene used in Pakistanr=0.8142yrs173
Arson in Connecticutr=0.8638yrs170
The distance between Neptune and Venusr=0.6648yrs170
The wind speed in Anchorager=0.7239yrs170
Air pollution in Los Angelesr=0.7843yrs167
Fossil fuel use in Sierra Leoner=0.7842yrs162
Burglaries in Hawaiir=0.8638yrs160
The wind speed in Nashviller=0.7239yrs160
The number of photographers in Oklahomar=0.8520yrs158
Air pollution in Steamboat Springs, Colorador=0.8338yrs156
Burglaries in Marylandr=0.8638yrs150
Petroluem consumption in Italyr=0.7548yrs150
The wind speed in Washington, D.C.r=0.7338yrs150
The number of maintenance workers, machinery in Washingtonr=0.8520yrs148
Air pollution in Riverside, Californiar=0.7843yrs144
Petroluem consumption in Naurur=0.7942yrs140
The number of typists in Californiar=0.8420yrs137
Carjackings in the USr=0.827yrs136
The wind speed in Minneapolisr=0.6939yrs135
Gasoline pumped in United Kingdomr=0.7843yrs130
The number of college sociology teachers in Floridar=0.8420yrs127
Kerosene used in Uruguayr=0.7942yrs120
The number of payroll and timekeeping clerks in Hawaiir=0.8420yrs117
Kerosene used in Perur=0.7842yrs108
The number of paving, surfacing, and tamping equipment operators in Minnesotar=0.8420yrs107
The number of floral designers in Montanar=0.8420yrs97
Gasoline pumped in Norwayr=0.7543yrs95
The number of fish and game wardens in Virginiar=0.8420yrs87
Kerosene used globallyr=0.7542yrs84
The number of food service managers in Colorador=0.8320yrs76
Petroluem consumption in North Korear=0.7542yrs74
The number of cooks, institution and cafeteria in Georgiar=0.8320yrs66
Petroluem consumption in Germanyr=0.832yrs62
The number of conveyor operators in Nebraskar=0.8320yrs56
Kerosene used in Gabonr=0.7342yrs51
The number of switchboard operators in Oregonr=0.8320yrs46
Kerosene used in Macaur=0.7342yrs41
The number of production, planning, and expediting clerks in Pennsylvaniar=0.8320yrs36
The number of payroll and timekeeping clerks in Vermontr=0.8320yrs26
The number of library technicians in Washingtonr=0.8320yrs16


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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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