Top variables that correlate with Air pollution in Kingsport, Tennessee

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Data source: Environmental Protection Agency
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Air pollution in Kingsport, Tennessee correlates with...

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Thanksgiving	r=0.93	16yrs	396
The marriage rate in Tennessee	r=0.9	23yrs	364
The divorce rate in Tennessee	r=0.86	23yrs	360
Citigroup's stock price (C)	r=0.87	22yrs	358
Lloyds Banking Group's stock price (LYG)	r=0.87	22yrs	358
AIG's stock price (AIG)	r=0.86	22yrs	357
Physical album shipment volume in the United States	r=0.89	24yrs	344
The number of proofreaders in Tennessee	r=0.9	19yrs	340
The number of prepress technicians and workers in Tennessee	r=0.87	20yrs	336
Jet fuel used in Saint Vincent/Grenadines	r=0.85	24yrs	336
The number of photographers in Tennessee	r=0.86	20yrs	335
The number of upholsterers in Tennessee	r=0.85	20yrs	304
Popularity of the 'call me maybe' meme	r=0.88	12yrs	288
Petroluem consumption in Denmark	r=0.81	43yrs	244
Kerosene used globally	r=0.8	42yrs	242
US Employment Rate	r=0.83	33yrs	238
The number of adhesive bonding machine operators in Tennessee	r=0.85	13yrs	236
NASA's budget as a percentage of the total US Federal Budget	r=0.69	44yrs	234
Motor vehicle thefts in Tennessee	r=0.71	38yrs	233
Viewership count for Days of Our Lives	r=0.7	42yrs	232
US milk fat used to produce fluid beverage milk	r=0.83	22yrs	228
Carjackings in the US	r=0.75	27yrs	228
Popularity of the first name Lesley	r=0.84	43yrs	228
Robberies in Tennessee	r=0.67	38yrs	227
Popularity of the first name Tommy	r=0.82	43yrs	226
Remaining Forest Cover in the Brazilian Amazon	r=0.67	36yrs	224
Popularity of the first name Maria	r=0.81	43yrs	224
Total annual sales of Ford Motors in the United States	r=0.79	23yrs	220
Ice cream consumption	r=0.8	32yrs	220
The distance between Neptune and the Sun	r=0.76	44yrs	220
The distance between Neptune and Earth	r=0.75	44yrs	219
The distance between Neptune and the moon	r=0.75	44yrs	219
Sherbet consumption	r=0.78	32yrs	218
Barclays' stock price (BCS)	r=0.81	22yrs	214
US household spending on clothing for men	r=0.85	23yrs	212
US household spending on books	r=0.84	23yrs	210
Kerosene used in Central African Republic	r=0.83	35yrs	209
GMO use in cotton	r=0.81	23yrs	208
US household spending on clothing	r=0.83	23yrs	208
US household spending on clothin for women	r=0.82	23yrs	207
US household spending on transportation	r=0.8	23yrs	204
Sumitomo Mitsui Financial Group's stock price (SMFG)	r=0.82	20yrs	202
Automotive recalls issued by BMW of North America	r=-0.69	43yrs	198
Customer satisfaction with Apple	r=-0.87	28yrs	198
Hydopower energy generated in Denmark	r=0.76	42yrs	198
Total number of automotive recalls	r=-0.71	43yrs	196
Customer satisfaction with Dillard's	r=-0.86	27yrs	196
Motor vehicle thefts	r=0.66	38yrs	196
Popularity of the first name Brant	r=0.81	43yrs	194
Automotive recalls for issues with the Electrical System	r=-0.69	43yrs	193
Automotive recalls for issues with the Power Train	r=-0.69	43yrs	193
Google searches for 'snoop dog'	r=0.78	20yrs	190
Customer satisfaction with Southwest Airlines	r=-0.79	28yrs	190
Total likes of Vihart's YouTube videos	r=0.78	15yrs	189
Total comments on Vihart's YouTube videos	r=0.78	15yrs	189
Kerosene used in United States	r=0.77	43yrs	188
The distance between Neptune and Mercury	r=0.73	44yrs	186
U.S. intercountry adoptions	r=0.75	23yrs	186
Popularity of the first name Jared	r=0.8	43yrs	182
Milk consumption	r=0.71	32yrs	178
Fossil fuel use in Slovakia	r=0.83	29yrs	176
Popularity of the first name Leslie	r=0.8	43yrs	172
US average milk-fat content of frozen dairy products	r=0.84	22yrs	166
Violent crime rates	r=0.59	38yrs	165
Petroluem consumption in Italy	r=0.75	43yrs	165
Popularity of the first name Annemarie	r=0.79	43yrs	161
Gasoline pumped in Slovenia	r=0.83	31yrs	155
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.82	22yrs	153
Popularity of the first name Cedrick	r=0.79	43yrs	151
Arson in United States	r=0.65	38yrs	144
Kerosene used in Peru	r=0.75	42yrs	144
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.82	22yrs	143
Popularity of the first name Consuelo	r=0.79	43yrs	141
The number of sewing machine operators in Tennessee	r=0.8	20yrs	141
US average milk-fat content of cottage cheese	r=0.81	22yrs	132
Fossil fuel use in Hungary	r=0.72	42yrs	132
Burglaries in Tennessee	r=0.63	38yrs	131
Popularity of the first name Aja	r=0.78	43yrs	130
The number of postal service machine operators in Tennessee	r=0.76	20yrs	125
Average milk produced per cow in the US	r=-0.74	43yrs	121
Popularity of the first name Sommer	r=0.78	43yrs	120
Kerosene used in Dominica	r=0.72	42yrs	120
Arson in Tennessee	r=0.6	38yrs	116
Kerosene used in El Salvador	r=0.72	42yrs	110
Popularity of the first name Diana	r=0.77	43yrs	108
Kerosene used in Greece	r=0.72	42yrs	100
Popularity of the first name Karen	r=0.77	43yrs	98
US milk fat used to produce frozen dairy products	r=0.77	22yrs	98
Gasoline pumped in France	r=0.71	43yrs	89
Popularity of the first name Rebekah	r=0.77	43yrs	88
Gasoline pumped in Norway	r=0.71	43yrs	79
Popularity of the first name Claudia	r=0.77	43yrs	78
Popularity of the first name Cindy	r=0.77	43yrs	68
Nuclear power generation in Germany	r=0.76	31yrs	68
Popularity of the first name Tia	r=0.77	43yrs	58
Liquefied petroleum gas used in Greenland	r=0.84	22yrs	58
Popularity of the first name Ramon	r=0.77	43yrs	48
Kerosene used in Madagascar	r=0.71	42yrs	48
Popularity of the first name Elissa	r=0.77	43yrs	38
Kerosene used in Norway	r=0.7	43yrs	38
Popularity of the first name Bridget	r=0.76	43yrs	26

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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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