Top variables that correlate with Air pollution in Seneca, South Carolina

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Data source: Environmental Protection Agency
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Air pollution in Seneca, South Carolina correlates with...

Variable	Correlation	Years	Sys. Score
The marriage rate in South Carolina	r=0.9	18yrs	359
Popularity of the first name Nautica	r=0.92	25yrs	358
US household spending on books	r=0.92	17yrs	351
Popularity of the first name Jarod	r=0.9	28yrs	328
Popularity of the first name Jarrett	r=0.88	28yrs	324
Annual US household spending on books	r=0.88	17yrs	315
US household spending on processed fruits	r=0.87	17yrs	314
The number of transportation, storage, and distribution managers in South Carolina	r=0.86	14yrs	299
Popularity of the first name Gillian	r=0.85	28yrs	290
Google searches for 'where can i stream friends'	r=0.89	12yrs	283
Mizuho Financial Group's stock price (MFG)	r=0.87	10yrs	282
US household spending on clothing for men	r=0.86	17yrs	282
US household spending on used cars	r=0.86	17yrs	282
Google searches for 'housing prices'	r=0.88	9yrs	264
How provocative minutephysics YouTube video titles are	r=0.86	6yrs	242
Per capita consumption of margarine	r=0.86	10yrs	237
Liquefied petroleum gas used in Luxembourg	r=0.82	28yrs	230
Jet fuel used in Saint Vincent/Grenadines	r=0.85	19yrs	226
Kerosene used in Nepal	r=0.74	28yrs	218
The divorce rate in South Carolina	r=0.79	18yrs	209
Customer satisfaction with Apple	r=-0.89	23yrs	194
Physical album shipment volume in the United States	r=0.82	18yrs	192
US Hospital Occupancy Rate	r=0.84	15yrs	192
Total annual sales of Ford Motors in the United States	r=0.83	18yrs	190
ST Microelectronics' stock price (STM)	r=0.83	15yrs	190
US Employment Rate	r=0.73	27yrs	188
Customer satisfaction with Dillard's	r=-0.82	23yrs	188
Number of edits to the Wikipedia article for Thanksgiving	r=0.84	10yrs	176
US household spending on clothing	r=0.84	17yrs	174
Popularity of the first name Brendan	r=0.84	28yrs	174
Disney movies released	r=0.78	17yrs	172
NatWest Group's stock price (NWG)	r=0.85	9yrs	172
The number of advertising and promotions managers in South Carolina	r=0.85	14yrs	172
US milk fat used to produce sour cream	r=-0.93	17yrs	171
Total comments on CGP Grey YouTube videos	r=0.82	6yrs	171
Ice cream consumption	r=0.7	27yrs	170
US dairy skim solids used to produce sour cream	r=-0.93	17yrs	170
The number of purchasing managers in South Carolina	r=0.83	14yrs	170
US household spending on pork	r=0.81	17yrs	170
US household spending on vehicle purchaes	r=0.81	17yrs	170
Hollister retail store count worldwide	r=-0.91	17yrs	169
Number of Botox Injections Administered to Women	r=-0.87	20yrs	168
Google searches for 'snoop dog'	r=0.82	13yrs	168
US household spending on clothin for women	r=0.8	17yrs	168
Career regular season goals scored by Sidney Crosby	r=0.8	15yrs	166
Number of active magazines in the United States	r=-0.9	15yrs	164
Popularity of the first name Lesley	r=0.83	28yrs	162
Motor vehicle thefts in South Carolina	r=0.62	28yrs	160
Liquefied petroleum gas used in Greenland	r=0.82	17yrs	160
Popularity of the 'hard pills to swallow' meme	r=0.82	11yrs	158
Average SAT score in critical reading	r=0.58	27yrs	154
GMO use in corn	r=-0.88	17yrs	152
Grocery store spend in South Carolina	r=-0.92	20yrs	152
Popularity of the first name Rhiannon	r=0.83	28yrs	152
GMO use in soybeans	r=-0.87	17yrs	151
GMO use in soybeans	r=-0.87	17yrs	151
Fossil fuel use in Greenland	r=0.71	28yrs	147
Popularity of the first name Abbey	r=0.82	28yrs	140
US average milk-fat content of frozen dairy products	r=0.82	17yrs	138
Google searches for 'harry potter'	r=0.82	13yrs	138
The number of CEOs in South Carolina	r=0.8	14yrs	136
Kerosene used in India	r=0.72	28yrs	136
Johnson Controls International's stock price (JCI)	r=0.76	15yrs	135
US average dairy skim-solid content of cottage cheese	r=0.82	17yrs	128
Popularity of the first name Jailene	r=0.82	25yrs	128
The number of roofers in South Carolina	r=0.81	14yrs	126
Jet fuel used in North Macedonia	r=0.74	25yrs	126
The number of rail car repairers in South Carolina	r=0.81	14yrs	116
Google searches for 'cia hotline'	r=0.68	13yrs	116
Kerosene used in Syria	r=0.72	28yrs	116
US milk fat used to produce fluid beverage milk	r=0.78	17yrs	115
Popularity of the first name Hannah	r=0.78	28yrs	114
The number of prepress technicians and workers in South Carolina	r=0.81	14yrs	106
US production of yogurt, nonfrozen	r=-0.86	17yrs	104
Google searches for 'how to immigrate to norway'	r=0.66	13yrs	104
Popularity of the first name Hanna	r=0.78	28yrs	104
Kerosene used in Greece	r=0.71	28yrs	104
Popularity of the first name Dejah	r=0.78	28yrs	94
Kerosene used in Peru	r=0.71	28yrs	94
The number of food service managers in South Carolina	r=0.78	14yrs	92
Popularity of the first name Lisette	r=0.78	28yrs	84
Kerosene used in South Korea	r=0.71	28yrs	84
The number of file clerks in South Carolina	r=0.78	14yrs	82
Hispanic cheese consumption	r=-0.83	21yrs	82
Popularity of the first name Tariq	r=0.78	28yrs	74
Jet fuel used in Uzbekistan	r=0.73	25yrs	74
Portion of all US dairy skim-solids allocated to the production of sour cream	r=-0.95	17yrs	70
Popularity of the first name Serina	r=0.78	28yrs	64
Electricity generation in U.S. Virgin Islands	r=0.68	28yrs	62
Popularity of the first name Destinie	r=0.78	28yrs	54
Nuclear power generation in United Kingdom	r=0.68	28yrs	52
Popularity of the first name Sierra	r=0.77	28yrs	43
Kerosene used in Philippines	r=0.7	28yrs	42
Popularity of the first name Reanna	r=0.77	28yrs	33
Fossil fuel use in U.S. Virgin Islands	r=0.67	28yrs	31
Popularity of the first name Kaytlin	r=0.77	28yrs	23
Petroluem consumption in Denmark	r=0.69	28yrs	21
Popularity of the first name Spencer	r=0.76	28yrs	12
Gasoline pumped in Portugal	r=0.69	28yrs	11
Jet fuel used in Zimbabwe	r=0.69	28yrs	1
Kerosene used in El Salvador	r=0.68	28yrs	-10

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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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