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Data source: Bureau of Larbor Statistics
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The number of dining room and cafeteria attendants in Connecticut correlates with...

VariableCorrelationYearsSys. Score
Visitors to SeaWorld Californiar=0.7715yrs166
Annual US household spending on gasoliner=0.7520yrs164
Gasoline Prices in the USr=0.7220yrs162
Electricity generation in Hong Kongr=0.7319yrs161
Fossil fuel use in Hong Kongr=0.7219yrs160
Liquefied petroleum gas used in Hong Kongr=0.7319yrs158
Yearly peak of NYSE composite indexr=0.8210yrs146
Total Number of Successful Mount Everest Climbsr=0.779yrs144
Popularity of the 'crying michael jordan' memer=-0.8617yrs142
The number of movies Russell Crowe appeared inr=0.6320yrs138
How clickbait-y minutephysics YouTube video titles arer=0.6912yrs138
Total viewership of the Aviva Premiership Rugby finalr=0.7512yrs138
Miss World's Ager=0.6820yrs138
Popularity of the first name Moeshar=-0.9212yrs134
Number of Public Library Members in the UKr=0.712yrs134
Number of Miss World delegatesr=0.6619yrs134
How good Computerphile YouTube video titles arer=0.6610yrs131
Organic Food Sales Volume in the United Statesr=0.7210yrs131
Associates degrees awarded in Dental assistingr=0.6811yrs130
Runs Scored by Winning Team in World Seriesr=0.6411yrs130
The price of goldr=0.6512yrs130
The number of movies Emma Watson appeared inr=0.5720yrs129
US hotel industry's revenue per available roomr=0.6812yrs127
Passenger traffic at Hartsfield-Jackson Atlanta International Airportr=0.5620yrs126
Jet fuel used in Egyptr=0.7119yrs125
The number of movies Chris Evans appeared inr=0.5420yrs124
Popularity of the first name Sarair=0.620yrs124
Number of Las Vegas Hotel Room Check-Insr=0.6311yrs124
US household spending on gasoliner=0.5820yrs123
Dried manure used for fertilizer in the USr=0.5713yrs123
How professional-sounding CGP Grey YouTube video titles arer=0.5912yrs122
Annual US household spending on clothing for menr=0.5620yrs120
xkcd comics published about philosophyr=0.5416yrs119
Popularity of the first name Alonsor=0.5620yrs119
Annual US household spending on clothin for womenr=0.5520yrs118
Annual US household spending on clothingr=0.5520yrs118
Customer satisfaction with Walgreensr=0.5616yrs118
Customer satisfaction with Kohl'sr=0.5518yrs118
Customer satisfaction with UPSr=0.5419yrs118
Annual US household spending on public transportationr=0.5420yrs117
US household spending on public transportationr=0.5320yrs116
Annual US household spending on tobacco products and smoking suppliesr=0.5320yrs116
Freeport-McMoRan's stock price (FCX)r=0.5220yrs114
Jet fuel used in Russiar=0.719yrs114
Number of edits to the Wikipedia article for JP Morgan Chaser=0.4820yrs112
Number of edits to the Wikipedia article for Charles IIIr=0.4820yrs112
US household spending on medical servicesr=0.5120yrs112
Customer satisfaction with Krogerr=0.5118yrs112
Customer satisfaction with Customer Shippingr=0.519yrs112
Number of public school students in Kindergartenr=0.4920yrs112
Visitors to Disneylandr=0.5415yrs112
Annual US household spending on prescription drugsr=0.4920yrs110
Visitors to Disney Worlds Magic Kingdomr=0.5215yrs109
Google searches for 'skydiving accident'r=0.4819yrs108
US average dairy skim-solid content of cottage cheeser=0.5119yrs108
América Móvil's stock price (AMX)r=0.4720yrs106
BHP Group's stock price (BHP)r=0.4720yrs106
Lionel Messi's match count with Argentinar=0.6318yrs98
Liquefied petroleum gas used in Central African Republicr=0.7714yrs94
Budget for largest movie productionr=0.5420yrs90
British Open Golf Championship winner's scorer=0.6120yrs88
Popularity of the first name Nayelir=0.5520yrs87
How 'hip and with it' Deep Look YouTube video titles arer=0.629yrs84
The number of movies Spencer Tracy appeared inr=0.520yrs78
Jet fuel used in Ecuadorr=0.6919yrs77
New York Yankees' victoriesr=0.5920yrs74
The average number of likes on 3Blue1Brown YouTube videosr=0.628yrs73
Popularity of the first name Micahr=0.520yrs70
GDP per capita in Canadar=0.614yrs70
The number of movies Julianne Moore appeared inr=0.4920yrs67
Load Factor of US Carrier Flightsr=0.5619yrs64
Electricity generation in South Africar=0.6519yrs64
NCAA Men's Skiing champion's pointsr=0.5720yrs61
How nerdy Numberphile YouTube video titles arer=0.5712yrs59
Annual US household spending on fresh milk and creamr=0.4820yrs58
Popularity of the first name Liliar=0.4920yrs58
The number of movies Channing Tatum appeared inr=0.518yrs56
Liquefied petroleum gas used in Liberiar=0.6719yrs54
Total Sales at Clothing and Accessories Storesr=0.4720yrs50
Popularity of the first name Lilianar=0.4820yrs46
The number of movies Benedict Wong appeared inr=0.4820yrs46
Gasoline pumped in Western Saharar=0.6719yrs44
New York Times Fiction Best Sellersr=0.5712yrs43
Cleansheets Achieved by Golden Glove Winners in the English Premier Leaguer=0.518yrs42
Passing attempts by Drew Brees per NFL seasonr=0.4818yrs36
The number of movies Jonah Hill appeared inr=0.4819yrs34
Jet fuel used in Western Saharar=0.6719yrs34
London Gold Pricesr=0.6210yrs31
NCAA Women's Softball Championship (Div I) Final Score Difference Between Winners and Runner-Upr=0.4720yrs26
Kerosene used in Western Saharar=0.6719yrs24
The number of movies Gary Oldman appeared inr=0.4520yrs21
Petroluem consumption in Solomon Islandsr=0.6619yrs12
The number of movies Sam Rockwell appeared inr=0.4520yrs11
Gasoline pumped in Cyprusr=0.6519yrs1
The number of movies Florence Pugh appeared inr=0.598yrs0
Electricity generation in Czechiar=0.619yrs-14
Geothermal power generated in Russiar=0.5919yrs-25
Gasoline pumped in Netherlands Antillesr=0.6119yrs-35
Jet fuel used in Germanyr=0.5920yrs-47
Kerosene used in French Polynesiar=0.5919yrs-58
Electricity generation in Bulgariar=0.5619yrs-69


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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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