Top variables that correlate with Air pollution in Tulsa, Oklahoma

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Data source: Environmental Protection Agency
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Air pollution in Tulsa, Oklahoma correlates with...

Variable	Correlation	Years	Has img?
Associates degrees awarded in Education	r=0.85	11yrs	No
Average number of milk cows in the United States	r=0.62	43yrs	No

Air pollution in Tulsa, Oklahoma also correlates with...

Variable	Correlation	Years	Sys. Score
Viewership count for Days of Our Lives	r=0.76	42yrs	242
Kerosene used in Madagascar	r=0.79	42yrs	240
Carjackings in the US	r=0.81	27yrs	237
Arson in Oklahoma	r=0.73	38yrs	236
Kerosene used in United States	r=0.76	43yrs	236
Arson in United States	r=0.72	38yrs	234
Gasoline pumped in Bulgaria	r=0.75	42yrs	234
Remaining Forest Cover in the Brazilian Amazon	r=0.72	36yrs	231
The distance between Neptune and Mercury	r=0.76	44yrs	220
Popularity of the first name Marc	r=0.78	43yrs	220
Popularity of the first name Hollie	r=0.78	43yrs	220
Popularity of the first name Deana	r=0.78	43yrs	220
The distance between Neptune and the Sun	r=0.75	44yrs	219
The distance between Neptune and Earth	r=0.75	44yrs	219
Customer satisfaction with Frontier Communications	r=0.73	28yrs	210
Petroluem consumption in Denmark	r=0.74	43yrs	204
Customer satisfaction with Walmart	r=0.69	27yrs	203
Average milk produced per cow in the US	r=-0.75	43yrs	202
Customer satisfaction with Verizon	r=0.68	28yrs	202
Burglaries in Oklahoma	r=0.69	38yrs	200
Total number of automotive recalls	r=-0.7	43yrs	196
Automotive recalls issued by BMW of North America	r=-0.65	43yrs	194
Kerosene used in Norway	r=0.73	43yrs	192
Popularity of the first name Bryon	r=0.78	43yrs	190
NASA's budget as a percentage of the total US Federal Budget	r=0.59	44yrs	190
Automotive recalls issued by Honda	r=-0.62	43yrs	190
The distance between Neptune and the moon	r=0.75	44yrs	189
Burglary rates in the US	r=0.68	38yrs	188
Automotive recalls for issues with the Power Train	r=-0.64	43yrs	188
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.75	43yrs	185
Physical album shipment volume in the United States	r=0.73	24yrs	184
Kerosene used in Peru	r=0.74	42yrs	182
USA Population	r=-0.75	43yrs	179
Popularity of the first name Holly	r=0.77	43yrs	178
Patents granted in the US	r=-0.69	41yrs	178
Motor vehicle thefts	r=0.67	38yrs	177
Processed cheese consumption	r=0.73	27yrs	175
US Annual Tax Revenue	r=-0.71	42yrs	174
Patents granted in the US	r=-0.68	41yrs	174
Budget for largest movie production	r=-0.66	43yrs	173
Total number of live births in Australia	r=-0.69	43yrs	173
Kerosene used in Turkiye	r=0.73	43yrs	172
Average length of Technology Connections YouTube videos	r=0.8	9yrs	171
Popularity of the first name Terra	r=0.77	43yrs	168
Gender pay gap in the U.S.	r=-0.72	32yrs	168
Motor vehicle thefts in Oklahoma	r=0.66	38yrs	166
The distance between Neptune and Venus	r=0.65	44yrs	164
Number of Registered Vehicles in the US	r=-0.71	32yrs	164
Average length of Computerphile YouTube videos	r=0.74	11yrs	164
Kerosene used in China	r=0.73	42yrs	161
Popularity of the first name Brian	r=0.76	43yrs	156
US Employment Rate	r=0.61	33yrs	156
Automotive recalls issued by Nissan North America	r=-0.58	43yrs	156
Automotive recalls for issues with the Electrical System	r=-0.6	43yrs	154
Total length of 'Be Smart' science YouTube videos	r=0.67	11yrs	154
The number of movies Willem Dafoe appeared in	r=-0.62	44yrs	154
Customer satisfaction with Dillard's	r=-0.73	27yrs	152
Automotive recalls for issues with Exterior Lighting	r=-0.57	43yrs	151
Gasoline pumped in France	r=0.72	43yrs	150
Popularity of the first name Erin	r=0.76	43yrs	146
Milk consumption	r=0.68	32yrs	144
Violent crime rates	r=0.63	38yrs	141
Kerosene used in Uruguay	r=0.72	42yrs	140
Popularity of the first name Cynthia	r=0.76	43yrs	136
Brick cheese consumption	r=0.69	27yrs	129
Kerosene used globally	r=0.71	42yrs	128
Popularity of the first name Micheal	r=0.76	43yrs	126
The average number of likes on 'Be Smart' science YouTube videos	r=0.66	11yrs	122
Kerosene used in Thailand	r=0.71	42yrs	118
Frozen yogurt consumption	r=0.65	32yrs	118
Popularity of the first name Tamara	r=0.76	43yrs	116
Robberies in the US	r=0.63	38yrs	111
The distance between Uranus and Mercury	r=-0.71	44yrs	108
Kerosene used in Argentina	r=0.7	42yrs	106
Popularity of the first name Steve	r=0.76	43yrs	106
Ice cream consumption	r=0.64	32yrs	106
Total annual sales of Ford Motors in the United States	r=0.68	23yrs	103
Kerosene used in Cabo Verde	r=0.7	42yrs	96
Popularity of the first name Irene	r=0.76	43yrs	96
The distance between Uranus and the Sun	r=-0.67	44yrs	94
Kerosene used in El Salvador	r=0.7	42yrs	86
Popularity of the first name Darin	r=0.76	43yrs	86
Italian-type cheese consumption	r=-0.78	27yrs	84
The distance between Uranus and Earth	r=-0.68	44yrs	84
Kerosene used in Portugal	r=0.69	43yrs	76
Popularity of the first name Jimmie	r=0.76	43yrs	76
Mozzarella cheese consumption	r=-0.78	27yrs	74
The distance between Uranus and the moon	r=-0.68	44yrs	74
Popularity of the first name Erich	r=0.76	43yrs	66
Kerosene used in Bolivia	r=0.69	42yrs	65
Yogurt consumption	r=-0.71	32yrs	62
Kerosene used in Hong Kong	r=0.69	42yrs	55
Popularity of the first name John	r=0.75	43yrs	55
Hispanic cheese consumption	r=-0.78	26yrs	52
Petroluem consumption in Nauru	r=0.69	42yrs	45
Popularity of the first name Eric	r=0.75	43yrs	45
Kerosene used in Romania	r=0.69	42yrs	35
Popularity of the first name Adam	r=0.75	43yrs	35
Popularity of the first name Mark	r=0.75	43yrs	25

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^{What is Sys. Score?} 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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