Top variables that correlate with Air pollution in Victoria, Texas

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Data source: Environmental Protection Agency
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Air pollution in Victoria, Texas correlates with...

Variable	Correlation	Years	Sys. Score
The number of movies Lily Collins appeared in	r=0.86	6yrs	244
Total Goals Scored by Craig Bellamy in Club Football by Seasons	r=0.79	7yrs	138
Rain in Perth	r=0.7	11yrs	134
Customer satisfaction with Costco	r=0.62	6yrs	126
Liquefied petroleum gas used in North Korea	r=0.62	16yrs	124
Hydopower energy generated in Togo	r=0.59	16yrs	122
Jet fuel used in Saint Vincent/Grenadines	r=0.72	7yrs	120
Rain in Perth	r=0.61	11yrs	120
Customer satisfaction with Sam's Club	r=0.52	9yrs	114
T/G ratio rank for Teams Coached by Bill Belichick	r=0.5	16yrs	106
The distance between Mars and the Sun	r=0.62	16yrs	106
The distance between Saturn and Mars	r=0.61	16yrs	105
Golden Boot Player's English Premier League Goal Tally	r=0.53	13yrs	98
Drenching rain in Sydney	r=0.53	11yrs	98
The number of movies Annette Bening appeared in	r=0.52	16yrs	98
NYSE Composite Index Annual Percentage Change	r=0.49	16yrs	96
Popularity of the first name Maryann	r=0.54	16yrs	92
Tiger Woods' Final Position in the US Open	r=0.45	10yrs	90
Popularity of the first name Iesha	r=0.53	16yrs	90
Processed cheese consumption	r=0.57	10yrs	89
Liquefied petroleum gas used in Ethiopia	r=0.58	16yrs	88
Popularity of the first name Don	r=0.51	16yrs	87
Asthma attacks in American children	r=-0.66	8yrs	84
The number of movies Frances Conroy appeared in	r=0.47	16yrs	80
Frozen yogurt consumption	r=0.46	15yrs	78
The distance between Mars and Venus	r=0.5	16yrs	78
Hydopower energy generated in Algeria	r=0.53	16yrs	73
Asthma attacks in American children	r=-0.54	8yrs	72
Asthma attacks in American children	r=-0.48	8yrs	66
The wind speed in Austin	r=0.51	11yrs	65
Number of goals scored by the winning team in the NCAA Soccer Div II Championship Final	r=0.48	16yrs	64
Asthma attacks in American children	r=-0.46	8yrs	64
Popularity of the first name Kenton	r=0.51	16yrs	57
Rain in Perth	r=0.51	11yrs	55
Geothermal power generated in Ethiopia	r=0.6	7yrs	54
Gender pay gap in the U.S.	r=-0.48	15yrs	52
U.S. intercountry adoptions	r=-0.57	6yrs	49
The number of movies Denzel Washington appeared in	r=0.46	16yrs	48
Total employee count at Continental AG	r=-0.5	6yrs	44
Solar power generated in Czechia	r=0.55	12yrs	42
The number of movies Elizabeth Olsen appeared in	r=0.45	12yrs	33
Popularity of the first name Lynsey	r=0.48	16yrs	32
Cream and Neufchatel cheese consumption	r=-0.45	10yrs	28
Biomass power generated in Mauritius	r=-0.89	6yrs	22
The number of movies Dwayne Johnson appeared in	r=0.46	9yrs	22
Popularity of the first name Chelsi	r=0.47	16yrs	21
The distance between Jupiter and Mars	r=-0.5	16yrs	14
Kerosene used in Germany	r=0.49	14yrs	12
The number of movies Uma Thurman appeared in	r=-0.72	16yrs	12
Popularity of the first name Demetria	r=0.46	16yrs	10
Number of games won by Detroit Red Wings in NHL season	r=-0.48	16yrs	10
Drenching rain in Houston	r=-0.62	9yrs	8
Jet fuel used in Paraguay	r=0.47	16yrs	1
Popularity of the first name Josefina	r=0.46	16yrs	0
Hot days in Berlin	r=-0.6	9yrs	-4
The number of movies Charlize Theron appeared in	r=-0.66	10yrs	-10
Craig Bellamy's appearances in matches for the Wales national team	r=-0.49	7yrs	-11
Petroluem consumption in Sierra Leone	r=0.45	16yrs	-12
Average temperature in Sydney	r=-0.53	11yrs	-18
Jet fuel used in Tonga	r=0.45	16yrs	-22
Popularity of the first name Alanis	r=-0.72	10yrs	-24
Hot days in Perth	r=-0.52	11yrs	-30
The number of movies Elijah Wood appeared in	r=-0.51	16yrs	-30
Annual Rainy Days in San Francisco	r=-0.45	16yrs	-43
Popularity of the first name Alysa	r=-0.56	16yrs	-43
Gasoline pumped in New Caledonia	r=-0.62	16yrs	-48
Popularity of the first name Eliezer	r=-0.57	16yrs	-53
The number of movies Elizabeth Banks appeared in	r=-0.57	7yrs	-53
Rain in Berlin	r=-0.46	11yrs	-56
Nuclear power generation in Germany	r=-0.57	14yrs	-62
The number of movies Vivien Leigh appeared in	r=-0.46	16yrs	-64
Popularity of the first name Keely	r=-0.54	16yrs	-66
Rain in Berlin	r=-0.46	11yrs	-66
Hydopower energy generated in Netherlands	r=-0.53	16yrs	-74
Popularity of the first name Iman	r=-0.51	16yrs	-78
The number of movies Dominic Monaghan appeared in	r=-0.51	8yrs	-78
Liquefied petroleum gas used in Jamaica	r=-0.55	16yrs	-84
Popularity of the first name Mariela	r=-0.5	16yrs	-90
The number of movies Zach Galifianakis appeared in	r=-0.49	6yrs	-92
Liquefied petroleum gas used in Bolivia	r=-0.53	16yrs	-96
Biomass power generated in India	r=-0.68	6yrs	-108
Popularity of the first name Carolina	r=-0.49	16yrs	-110
Liquefied petroleum gas used in Colombia	r=-0.52	16yrs	-118
Popularity of the first name Felix	r=-0.49	16yrs	-120
Gasoline pumped in Tunisia	r=-0.52	16yrs	-128
Popularity of the first name Agustin	r=-0.48	16yrs	-132
Popularity of the first name Marcos	r=-0.45	16yrs	-144
Popularity of the first name Alanna	r=-0.46	16yrs	-154
Popularity of the first name Moesha	r=-0.47	9yrs	-170

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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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