Top variables that correlate with Air pollution in Saginaw, Michigan

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Data source: Environmental Protection Agency
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Air pollution in Saginaw, Michigan correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Germany, East	r=0.92	11yrs	334
Renewable energy production in Belarus	r=0.87	14yrs	302
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.92	6yrs	301
Hot days in Sydney	r=0.93	7yrs	299
Average temperature in Sydney	r=0.9	7yrs	294
The number of movies Ewan McGregor appeared in	r=0.9	13yrs	292
Solar power generated in Brazil	r=0.89	9yrs	265
Annual US household spending on processed vegetables	r=0.89	6yrs	240
Wind power generated in Thailand	r=0.86	8yrs	220
Jet fuel used in Lesotho	r=0.89	6yrs	209
Jet fuel used in Niue	r=0.88	6yrs	188
Biomass power generated in Hungary	r=0.82	16yrs	162
Popularity of the first name Waylon	r=0.71	26yrs	162
The number of movies Jake Gyllenhaal appeared in	r=0.79	15yrs	152
Automotive recalls issued by Toyota	r=0.76	6yrs	150
Bankruptcy filings in the US	r=0.79	8yrs	148
Automotive recalls for issues with the Wheels	r=0.56	26yrs	146
Gasoline Prices in the US	r=0.73	16yrs	144
Automotive recalls issued by Keystone RV Company	r=0.7	8yrs	144
The number of movies Sean Astin appeared in	r=0.68	24yrs	144
Total employee count at Continental AG	r=0.76	7yrs	138
Automotive recalls issued by Hyundai Motor America	r=0.52	20yrs	138
Automotive recalls for issues with the Parking Brake	r=0.48	26yrs	134
Popularity of the first name Angie	r=0.64	26yrs	132
Popularity of the first name Chris	r=0.63	26yrs	130
Solar power generated in United Kingdom	r=0.76	22yrs	128
Number of websites on the internet	r=0.62	15yrs	128
Miss America's age	r=0.74	7yrs	128
Asthma attacks in American children	r=0.59	9yrs	128
Brad Pitt's net worth	r=0.59	19yrs	125
The price of gold	r=0.51	26yrs	123
Frank Lampard's Premier League goal tally	r=0.66	10yrs	122
London Gold Prices	r=0.54	26yrs	120
Asthma attacks in American children	r=-0.86	9yrs	116
The number of movies Uma Thurman appeared in	r=0.71	19yrs	114
Total Sales at Clothing and Accessories Stores	r=0.54	14yrs	114
Swiss cheese consumption	r=0.64	11yrs	110
The Winning Score of The Northern Trust Open Golf Championship	r=-0.77	16yrs	108
Yogurt consumption	r=0.57	16yrs	105
The distance between Neptune and Uranus	r=0.54	26yrs	104
Annual US household spending on transportation	r=0.75	6yrs	104
Annual US household spending on gasoline	r=0.75	6yrs	104
US household spending on gasoline	r=0.74	6yrs	103
Fossil fuel use in Rwanda	r=0.69	26yrs	102
Annual US household spending on mortgage interest and charges	r=0.73	6yrs	102
Annual US household spending on natural gas	r=0.73	6yrs	102
Annual US household spending on utilities	r=0.72	6yrs	100
Annual US household spending on electricity	r=0.72	6yrs	100
Freezing temperatures in Berlin	r=0.56	7yrs	99
Milk-fat consumption	r=0.52	16yrs	98
Annual US household spending on rented dwellings	r=0.71	6yrs	98
Popularity of the first name Carlo	r=0.61	26yrs	97
The number of movies Elizabeth Banks appeared in	r=0.83	8yrs	96
Solar power generated in Germany	r=0.8	15yrs	78
The number of movies Jeremy Renner appeared in	r=0.73	11yrs	74
Popularity of the first name Helen	r=0.59	26yrs	69
US average dairy skim-solid content of cottage cheese	r=0.72	6yrs	67
The number of movies Martin Freeman appeared in	r=0.75	8yrs	64
Liquefied petroleum gas used in Armenia	r=0.79	14yrs	62
Christmas Price Index in the United States	r=0.55	14yrs	62
Popularity of the first name Gwendolyn	r=0.58	26yrs	58
Gender pay gap in the U.S.	r=0.51	16yrs	57
Number of Registered Vehicles in the US	r=0.53	16yrs	52
Wind power generated in Belgium	r=0.73	19yrs	51
The number of movies Zoe Saldana appeared in	r=0.8	6yrs	50
US Shoe Store Sales	r=0.54	14yrs	46
Popularity of the first name Josh	r=0.57	26yrs	46
The number of movies Gerard Butler appeared in	r=0.7	9yrs	38
Number of International Tourist Arrivals Worldwide	r=0.6	11yrs	37
Jet fuel used in Trinidad and Tobago	r=0.65	26yrs	33
Popularity of the first name Jeremiah	r=0.54	26yrs	32
Number of internet users	r=0.54	13yrs	28
The number of movies Benedict Wong appeared in	r=0.66	14yrs	26
Wind power generated in New Caledonia	r=0.83	10yrs	22
Number of Botox Injections Administered to Women	r=0.58	9yrs	22
Popularity of the first name Toby	r=0.54	26yrs	22
The number of movies Bill Murray appeared in	r=0.57	26yrs	15
Inflation in the US	r=0.53	14yrs	15
Petroluem consumption in Cabo Verde	r=0.64	26yrs	12
Popularity of the first name Melody	r=0.53	26yrs	10
Number of households headed by single fathers in the United States	r=0.49	16yrs	7
The number of movies Ryan Reynolds appeared in	r=0.65	13yrs	4
Petroluem consumption in Germany, West	r=0.84	11yrs	2
Popularity of the first name Lena	r=0.53	26yrs	0
The number of movies Jessica Biel appeared in	r=0.64	12yrs	-8
Popularity of the first name Harmony	r=0.53	26yrs	-10
Wind power generated in New Zealand	r=0.78	14yrs	-12
The number of movies Bill Nighy appeared in	r=0.55	26yrs	-18
Wind power generated in Taiwan	r=0.83	6yrs	-22
Popularity of the first name Eva	r=0.52	26yrs	-22
The number of movies Helena Bonham Carter appeared in	r=0.56	23yrs	-29
Petroluem consumption in Trinidad and Tobago	r=0.62	26yrs	-32
Popularity of the first name Beau	r=0.52	26yrs	-32
The number of movies Zach Galifianakis appeared in	r=0.73	7yrs	-40
Popularity of the first name Lea	r=0.52	26yrs	-42
Liquefied petroleum gas used in Romania	r=0.61	26yrs	-43
The number of movies Forest Whitaker appeared in	r=0.54	24yrs	-52
Popularity of the first name Lana	r=0.52	26yrs	-52
The number of movies Helen Mirren appeared in	r=0.5	26yrs	-66
Disney movies released	r=-0.92	6yrs	-78
The number of movies Juliette Binoche appeared in	r=0.5	23yrs	-88

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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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