Top variables that correlate with Air pollution in York, Pennsylvania

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Data source: Environmental Protection Agency
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Air pollution in York, Pennsylvania correlates with...

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Thanksgiving	r=0.88	16yrs	358
xkcd comics published about romance	r=0.88	17yrs	341
Ice cream consumption	r=0.86	32yrs	334
GMO use in cotton	r=0.86	23yrs	321
Associates degrees awarded in Business management	r=0.91	11yrs	315
United States music album sales	r=0.86	16yrs	301
Associates degrees awarded in Business and management	r=0.91	11yrs	295
The number of farm equipment mechanics in Pennsylvania	r=0.86	13yrs	278
The number of executive administrative assistants in Pennsylvania	r=0.85	13yrs	276
Associates degrees awarded in Business	r=0.89	11yrs	262
Lloyds Banking Group's stock price (LYG)	r=0.82	22yrs	246
AIG's stock price (AIG)	r=0.8	22yrs	243
Gasoline pumped in Norway	r=0.78	43yrs	240
NASA's budget as a percentage of the total US Federal Budget	r=0.71	44yrs	238
Hydopower energy generated in Denmark	r=0.76	42yrs	238
Petroluem consumption in Italy	r=0.77	43yrs	238
Arson in United States	r=0.72	38yrs	234
Burglaries in Pennsylvania	r=0.71	38yrs	233
Burglary rates in the US	r=0.7	38yrs	232
Viewership count for Days of Our Lives	r=0.69	42yrs	231
Physical album shipment volume in the United States	r=0.84	24yrs	231
Remaining Forest Cover in the Brazilian Amazon	r=0.72	36yrs	231
U.S. intercountry adoptions	r=0.82	23yrs	227
US Employment Rate	r=0.73	33yrs	224
The number of postal service machine operators in Pennsylvania	r=0.82	20yrs	224
Popularity of the first name Cindy	r=0.78	43yrs	220
Popularity of the first name Elisabeth	r=0.78	43yrs	220
The distance between Neptune and the Sun	r=0.74	44yrs	218
The distance between Neptune and Earth	r=0.74	44yrs	218
The distance between Neptune and the moon	r=0.74	44yrs	218
Popularity of the first name Mario	r=0.77	43yrs	218
Milk consumption	r=0.76	32yrs	216
Sherbet consumption	r=0.76	32yrs	214
Orange's stock price (ORAN)	r=0.78	22yrs	210
Asthma attacks in American children	r=0.73	23yrs	208
Kerosene used globally	r=0.77	42yrs	207
US household spending on books	r=0.82	23yrs	207
US household spending on clothin for women	r=0.81	23yrs	206
US household spending on prescription drugs	r=0.81	23yrs	206
US household spending on clothing	r=0.8	23yrs	204
US household spending on clothing for men	r=0.8	23yrs	204
Motor vehicle thefts	r=0.7	38yrs	202
US household spending on processed fruits	r=0.79	23yrs	202
US birth rates of triplets or more	r=0.8	20yrs	198
Automotive recalls for issues with the Electrical System	r=-0.74	43yrs	198
Total number of automotive recalls	r=-0.72	43yrs	198
Automotive recalls issued by BMW of North America	r=-0.68	43yrs	196
Petroluem consumption in Denmark	r=0.74	43yrs	194
Motor vehicle thefts in Pennsylvania	r=0.7	38yrs	192
Automotive recalls issued by Mercedes-Benz USA	r=-0.64	43yrs	192
Google searches for 'snoop dog'	r=0.8	20yrs	192
Popularity of the first name Ramon	r=0.77	43yrs	188
Kerosene used in Macau	r=0.75	42yrs	184
The distance between Neptune and Mercury	r=0.72	44yrs	184
Popularity of the first name Chasity	r=0.77	43yrs	178
Robberies in Pennsylvania	r=0.67	38yrs	177
Cottage cheese consumption	r=0.71	32yrs	177
Citigroup's stock price (C)	r=0.76	22yrs	177
Kerosene used in Peru	r=0.75	42yrs	174
Popularity of the first name Marlon	r=0.77	43yrs	168
Robberies in the US	r=0.66	38yrs	166
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.84	22yrs	166
Petroluem consumption in Switzerland	r=0.74	43yrs	164
The number of musicians in Pennsylvania	r=0.81	20yrs	162
Popularity of the first name Rolando	r=0.77	43yrs	158
Kerosene used in Syria	r=0.75	42yrs	154
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.83	22yrs	154
The number of telemarketers in Pennsylvania	r=0.8	20yrs	152
Popularity of the first name Arlene	r=0.77	43yrs	148
Gasoline pumped in United Kingdom	r=0.74	43yrs	144
US average milk-fat content of frozen dairy products	r=0.83	22yrs	144
Violent crime rates	r=0.63	38yrs	141
The number of counter and rental clerks in Pennsylvania	r=0.8	20yrs	141
Popularity of the first name Reynaldo	r=0.77	43yrs	138
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.82	22yrs	133
Gasoline pumped in Austria	r=0.73	43yrs	132
The number of prepress technicians and workers in Pennsylvania	r=0.8	20yrs	131
Popularity of the first name Cathryn	r=0.77	43yrs	128
Gasoline pumped in Slovenia	r=0.81	31yrs	122
US average milk-fat content of cottage cheese	r=0.8	22yrs	120
Popularity of the first name Johnna	r=0.77	43yrs	118
Arson in Pennsylvania	r=0.63	38yrs	111
Nuclear power generation in Germany	r=0.78	31yrs	110
Average milk produced per cow in the US	r=-0.73	43yrs	110
Popularity of the first name Joseph	r=0.76	43yrs	106
Fossil fuel use in Slovakia	r=0.79	29yrs	100
Popularity of the first name Maria	r=0.76	43yrs	96
US milk fat used to produce fluid beverage milk	r=0.79	22yrs	92
Kerosene used in United States	r=0.72	43yrs	90
Popularity of the first name Bryan	r=0.76	43yrs	86
Kerosene used in Japan	r=0.71	43yrs	79
Popularity of the first name Erik	r=0.76	43yrs	76
Kerosene used in Central African Republic	r=0.76	35yrs	68
Popularity of the first name Roberto	r=0.76	43yrs	66
Kerosene used in El Salvador	r=0.71	42yrs	58
Popularity of the first name Tommy	r=0.76	43yrs	56
Gasoline pumped in France	r=0.7	43yrs	48
Popularity of the first name Rene	r=0.76	43yrs	46
Kerosene used in Tunisia	r=0.71	42yrs	38
Popularity of the first name Aja	r=0.76	43yrs	36
Popularity of the first name Jacques	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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