Top variables that correlate with Air pollution in Salisbury, Maryland

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Data source: Environmental Protection Agency
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Air pollution in Salisbury, Maryland correlates with...

Variable	Correlation	Years	Has img?
The number of statistical assistants in Maryland	r=0.9	16yrs	Yes!

Air pollution in Salisbury, Maryland also correlates with...

Variable	Correlation	Years	Sys. Score
The divorce rate in Maryland	r=0.87	20yrs	358
Popularity of the 'call me maybe' meme	r=0.97	7yrs	356
AIG's stock price (AIG)	r=0.86	17yrs	352
Kerosene used in Norway	r=0.87	36yrs	351
Physical album shipment volume in the United States	r=0.89	20yrs	340
xkcd comics published about romance	r=0.9	12yrs	339
Gasoline pumped in Slovenia	r=0.85	27yrs	339
Liquefied petroleum gas used in Greenland	r=0.88	19yrs	336
US milk fat used to produce fluid beverage milk	r=0.86	19yrs	334
Lloyds Banking Group's stock price (LYG)	r=0.85	17yrs	320
GMO use in cotton	r=0.87	19yrs	318
US household spending on clothin for women	r=0.87	19yrs	316
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	19yrs	312
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	19yrs	312
Popularity of the 'gangnam style' meme	r=0.95	7yrs	308
Jet fuel used in Saint Vincent/Grenadines	r=0.86	21yrs	304
The number of postmasters in Maryland	r=0.87	16yrs	302
The number of advertising sales agents in Maryland	r=0.87	16yrs	302
US average milk-fat content of frozen dairy products	r=0.87	19yrs	282
How geeky MrBeast's YouTube video titles are	r=0.91	7yrs	280
Associates degrees awarded in Business and management	r=0.92	8yrs	278
US average milk-fat content of cottage cheese	r=0.87	19yrs	272
The number of college sociology teachers in Maryland	r=0.86	16yrs	271
Google searches for 'Gangnam Style'	r=0.89	7yrs	263
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.86	19yrs	261
The number of meter readers, utilities in Maryland	r=0.86	16yrs	261
Arson in Maryland	r=0.83	34yrs	247
Burglaries in Maryland	r=0.8	34yrs	242
Arson in United States	r=0.79	34yrs	241
Viewership count for Days of Our Lives	r=0.78	36yrs	238
Remaining Forest Cover in the Brazilian Amazon	r=0.79	32yrs	238
Popularity of the first name Consuelo	r=0.85	36yrs	223
US Employment Rate	r=0.73	29yrs	220
Popularity of the first name Kathy	r=0.83	36yrs	220
Popularity of the first name Jaime	r=0.82	36yrs	218
The distance between Neptune and the Sun	r=0.79	36yrs	217
The distance between Neptune and Earth	r=0.79	36yrs	217
The distance between Neptune and Mercury	r=0.79	36yrs	217
Citigroup's stock price (C)	r=0.82	17yrs	211
Asthma attacks in American children	r=0.74	22yrs	208
US household spending on prescription drugs	r=0.85	19yrs	208
Burglary rates in the US	r=0.76	34yrs	206
US household spending on floor coverings	r=0.84	19yrs	206
US household spending on clothing	r=0.84	19yrs	206
US household spending on clothing for men	r=0.83	19yrs	204
US birth rates of triplets or more	r=0.83	17yrs	200
Customer satisfaction with Dillard's	r=-0.9	25yrs	198
Carjackings in the US	r=0.75	24yrs	195
Fossil fuel use in Slovakia	r=0.84	26yrs	194
U.S. intercountry adoptions	r=0.82	20yrs	194
Automotive recalls issued by BMW of North America	r=-0.72	36yrs	194
Google searches for 'oprah winfrey'	r=0.84	15yrs	194
Google searches for 'snoop dog'	r=0.84	15yrs	194
Cigarette Smoking Rate for US adults	r=0.82	18yrs	192
Total number of automotive recalls	r=-0.74	36yrs	192
Motor vehicle thefts	r=0.72	34yrs	190
Popularity of the first name Jenifer	r=0.82	36yrs	188
The distance between Neptune and the moon	r=0.79	36yrs	187
Petroluem consumption in Germany	r=0.83	28yrs	182
Orange's stock price (ORAN)	r=0.81	17yrs	180
Robberies in the US	r=0.7	34yrs	178
Popularity of the first name Erin	r=0.81	36yrs	177
Gasoline pumped in Germany	r=0.83	28yrs	172
Popularity of the first name Wendy	r=0.81	36yrs	167
Milk consumption	r=0.84	29yrs	165
Kerosene used globally	r=0.77	36yrs	161
The distance between Neptune and Venus	r=0.68	36yrs	160
Popularity of the first name Jess	r=0.81	36yrs	157
Violent crime rates	r=0.68	34yrs	154
Kerosene used in Portugal	r=0.77	36yrs	151
Ice cream consumption	r=0.82	29yrs	150
Popularity of the first name Deana	r=0.81	36yrs	147
The number of sewing machine operators in Maryland	r=0.84	16yrs	143
Kerosene used in United States	r=0.77	36yrs	141
Popularity of the first name Karen	r=0.8	36yrs	136
Cottage cheese consumption	r=0.78	29yrs	134
Kerosene used in Australia	r=0.75	36yrs	128
Popularity of the first name Jerry	r=0.8	36yrs	126
Sherbet consumption	r=0.78	29yrs	124
Gasoline pumped in France	r=0.75	36yrs	118
Popularity of the first name Dianna	r=0.8	36yrs	116
Kerosene used in Peru	r=0.75	36yrs	108
Popularity of the first name Sandra	r=0.79	36yrs	104
Average number of milk cows in the United States	r=0.62	36yrs	103
Kerosene used in Madagascar	r=0.74	36yrs	96
Popularity of the first name Jimmy	r=0.79	36yrs	94
Average milk produced per cow in the US	r=-0.79	36yrs	89
Petroluem consumption in Denmark	r=0.73	36yrs	85
Popularity of the first name Teresa	r=0.79	36yrs	84
Nuclear power generation in Germany	r=0.76	28yrs	74
Popularity of the first name Jenny	r=0.79	36yrs	74
Popularity of the first name Carla	r=0.79	36yrs	64
Hydopower energy generated in Denmark	r=0.69	36yrs	62
Popularity of the first name Cedric	r=0.79	36yrs	54
Kerosene used in Cabo Verde	r=0.71	36yrs	52
Popularity of the first name Charity	r=0.79	36yrs	44
Kerosene used in Egypt	r=0.71	36yrs	42
Popularity of the first name Darin	r=0.79	36yrs	34
Kerosene used in Thailand	r=0.71	36yrs	32
Popularity of the first name Kristal	r=0.79	36yrs	24

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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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