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Data source: MIT Election Data and Science Lab, Harvard Dataverse
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Votes for the Democratic Presidential candidate in Utah correlates with...

VariableCorrelationYearsHas img?
US household spending on housingr=0.946yrsYes!
US household spending on other household productsr=0.886yrsYes!



Votes for the Democratic Presidential candidate in Utah also correlates with...

VariableCorrelationYearsSys. Score
The number of movies Humphrey Bogart appeared inr=0.997yrs379
The number of movies Glenn Close appeared inr=0.949yrs324
Number of goals scored by the winning team in the NCAA Soccer Div II Championship Finalr=0.8611yrs276
The number of movies Colin Farrell appeared inr=0.836yrs154
Jet fuel used in Cayman Islandsr=0.799yrs142
Hydopower energy generated in El Salvadorr=0.7511yrs141
Liquefied petroleum gas used in Namibiar=0.797yrs140
Popularity of the first name Keanur=0.758yrs135
Annual US household spending on other household productsr=0.816yrs134
Annual US household spending on processed fruitsr=0.86yrs132
Annual US household spending on housekeeping suppliesr=0.796yrs130
US household spending on home maintenancer=0.786yrs129
US milk fat used to produce evaporated and condensed milkr=0.776yrs128
Annual US household spending on fish and seafoodr=0.776yrs128
NCAA Women's Softball Championship (Div I) Final Score Difference Between Winners and Runner-Upr=0.689yrs127
Automotive recalls issued by Keystone RV Companyr=0.726yrs124
Annual US household spending on home maintenancer=0.756yrs124
Annual US household spending on household furnishings and equipmentr=0.746yrs123
Annual US household spending on small appliancesr=0.746yrs123
Average temperature in Perthr=0.6112yrs121
US average dairy skim-solid content of frozen dairy productsr=0.716yrs116
Average SAT score in critical readingr=0.658yrs116
Popularity of the first name Sonnyr=0.5912yrs115
Grocery store spend in Utahr=0.686yrs113
Popularity of the first name Xenar=0.648yrs108
Hydopower energy generated in Burundir=0.7211yrs106
US Bottled Water Consumption per Personr=0.596yrs106
Afghanistan's Estimated Opium Productionr=0.618yrs106
Hot days in Perthr=0.5712yrs105
Rain in Sydneyr=0.5712yrs105
US production of dry milk products (net)r=0.616yrs104
The number of movies Kevin Bacon appeared inr=0.6511yrs102
The number of Breweries in the United Statesr=0.548yrs102
US per-person consumption of bottled waterr=0.66yrs102
Academy Award Best Supporting Actress Winner Ager=0.5312yrs102
Los Angeles Dodgers' Win/Loss Percentage in National League West Divisionr=0.5512yrs100
Gender pay gap in the U.S.r=0.548yrs98
Automotive recalls issued by Volkswagen Group of Americar=0.5111yrs98
Liquefied petroleum gas used in Beninr=0.768yrs96
The distance between Mercury and Earthr=0.5112yrs96
Total Federal Construction Expenditure in the United Statesr=0.556yrs94
Total employee count at Continental AGr=0.546yrs94
The distance between Mercury and the moonr=0.512yrs94
Renewable energy production in Burkina Fasor=0.738yrs85
The number of movies Will Smith appeared inr=0.668yrs80
Renewable energy production in Burundir=0.711yrs74
Rain in Sydneyr=0.5612yrs74
US dairy skim solids used to produce dry milk productsr=0.616yrs72
Annual US household spending on dairy productsr=0.726yrs70
Biomass power generated in Japanr=0.7110yrs64
Popularity of the first name Sunnyr=0.5212yrs64
Annual US household spending on meats, poultry, fish, and eggsr=0.716yrs63
Drenching rain in Sydneyr=0.5412yrs60
US average milk-fat content of dry milk products (net)r=0.66yrs59
Annual US household spending on cereals and bakery productsr=0.696yrs55
Electricity generation in Burundir=0.6911yrs52
Annual US household spending on bakery productsr=0.696yrs50
The number of movies Diane Keaton appeared inr=0.511yrs50
Rain in Sydneyr=0.5212yrs48
US production of butterr=0.566yrs46
Annual US household spending on poultryr=0.686yrs44
Nuclear power generation in Argentinar=0.6811yrs40
Annual US household spending on housingr=0.686yrs39
The number of movies Amy Poehler appeared inr=0.526yrs38
US milk fat used to produce butterr=0.566yrs36
Annual US household spending on pets, toys, and hobbiesr=0.676yrs32
Electricity generation in Niuer=0.6811yrs30
Annual US household spending on major appliancesr=0.666yrs26
The number of movies Reese Witherspoon appeared inr=0.58yrs26
US dairy skim solids used to produce butterr=0.566yrs25
US household spending on pets, toys, and hobbiesr=0.666yrs21
Jet fuel used in Lebanonr=0.711yrs20
The number of movies Robert Downey Jr. appeared inr=0.4811yrs16
Annual US household spending on beefr=0.656yrs15
American cheese consumptionr=0.488yrs14
Liquefied petroleum gas used in Seychellesr=0.86yrs10
Annual US household spending on fresh vegetablesr=0.656yrs10
Annual US household spending on processed vegetablesr=0.656yrs5
The number of movies Forest Whitaker appeared inr=0.489yrs4
US household spending on fresh vegetablesr=0.656yrs0
Solar power generated in Belizer=0.776yrs-1
US household spending on property taxesr=0.656yrs-5
Solar power generated in Brazilr=0.766yrs-12
Annual US household spending on fruits and vegetablesr=0.646yrs-12
Annual US household spending on property taxesr=0.646yrs-17
Solar power generated in Colombiar=0.766yrs-22
Annual US household spending on porkr=0.636yrs-24
Annual US household spending on eggsr=0.616yrs-31
Renewable energy production in Cote d'Ivoirer=0.6611yrs-32
Annual US household spending on natural gasr=0.616yrs-36
Annual US household spending on furniturer=0.616yrs-41
Renewable energy production in Saint Vincent/Grenadinesr=0.6611yrs-42
Annual US household spending on utilitiesr=0.596yrs-50
Liquefied petroleum gas used in Rwandar=0.786yrs-52
Annual US household spending on transportationr=0.596yrs-55
Annual US household spending on entertainmentr=0.596yrs-60
Liquefied petroleum gas used in Singaporer=0.6811yrs-62
Annual US household spending on fresh fruitsr=0.576yrs-68
US household spending on processed vegetablesr=0.576yrs-73


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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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