Top variables that correlate with Air pollution in State College, Pennsylvania

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

Variable	Correlation	Years	Has img?
Kerosene used in Peru	r=0.9	32yrs	No
Ice cream consumption	r=0.86	32yrs	No

Air pollution in State College, Pennsylvania also correlates with...

Variable	Correlation	Years	Sys. Score
The number of farm equipment mechanics in Pennsylvania	r=0.92	13yrs	367
Kerosene used in Macau	r=0.9	32yrs	352
Gasoline pumped in United Kingdom	r=0.88	33yrs	350
Physical album shipment volume in the United States	r=0.88	24yrs	342
The number of telemarketers in Pennsylvania	r=0.88	20yrs	340
The number of postal service machine operators in Pennsylvania	r=0.89	20yrs	340
Google searches for 'snoop dog'	r=0.86	20yrs	336
Popularity of the first name Jordan	r=0.89	33yrs	331
Popularity of the first name Jasmine	r=0.89	33yrs	331
Popularity of the first name Alberto	r=0.89	33yrs	331
GMO use in cotton	r=0.85	23yrs	320
Kerosene used in Syria	r=0.88	32yrs	318
Associates degrees awarded in Business and management	r=0.92	11yrs	316
US household spending on books	r=0.85	23yrs	316
The number of prepress technicians and workers in Pennsylvania	r=0.89	20yrs	310
Kerosene used in Tunisia	r=0.88	32yrs	308
Popularity of the first name Jordon	r=0.89	33yrs	301
Gasoline pumped in Germany	r=0.86	32yrs	296
The number of cutters and trimmers, hand in Pennsylvania	r=0.86	20yrs	295
Popularity of the first name Kaila	r=0.89	33yrs	291
Gasoline pumped in Norway	r=0.86	33yrs	286
The number of counter and rental clerks in Pennsylvania	r=0.85	20yrs	284
Popularity of the first name Katelin	r=0.89	33yrs	281
Gasoline pumped in Spain	r=0.86	33yrs	276
The number of compensation and benefits managers in Pennsylvania	r=0.85	19yrs	272
Popularity of the first name Kasandra	r=0.89	33yrs	271
Kerosene used in Norway	r=0.85	33yrs	265
Popularity of the first name Maegan	r=0.89	33yrs	261
Violent crime rates	r=0.78	33yrs	258
Popularity of the first name Heriberto	r=0.89	33yrs	251
Remaining Forest Cover in the Brazilian Amazon	r=0.85	33yrs	248
NASA's budget as a percentage of the total US Federal Budget	r=0.85	34yrs	248
Arson in United States	r=0.84	33yrs	248
Motor vehicle thefts	r=0.84	33yrs	248
Liquefied petroleum gas used in Greenland	r=0.86	22yrs	246
AIG's stock price (AIG)	r=0.81	22yrs	244
Popularity of the first name Monet	r=0.89	33yrs	241
Automotive recalls for issues with Vehicle Speed Control	r=0.71	33yrs	240
Viewership count for Days of Our Lives	r=0.81	32yrs	239
Popularity of the first name Johnna	r=0.89	33yrs	231
Milk consumption	r=0.83	32yrs	226
US milk fat used to produce fluid beverage milk	r=0.82	22yrs	226
US Employment Rate	r=0.72	33yrs	222
The distance between Neptune and the Sun	r=0.84	34yrs	222
The distance between Neptune and Earth	r=0.84	34yrs	222
The distance between Neptune and the moon	r=0.84	34yrs	222
Popularity of the first name Nicholas	r=0.88	33yrs	220
Emmy Awards Ceremony viewership	r=0.71	33yrs	220
Number of edits to the Wikipedia article for Thanksgiving	r=0.85	16yrs	219
The number of movies Gregory Peck appeared in	r=0.77	33yrs	217
Motor vehicle thefts in Pennsylvania	r=0.83	33yrs	216
Lloyds Banking Group's stock price (LYG)	r=0.79	22yrs	212
Popularity of the first name Joseph	r=0.88	33yrs	210
Citigroup's stock price (C)	r=0.77	22yrs	208
US household spending on prescription drugs	r=0.83	23yrs	208
US household spending on clothing for men	r=0.81	23yrs	206
US household spending on processed fruits	r=0.8	23yrs	204
US household spending on clothing	r=0.8	23yrs	204
US household spending on clothin for women	r=0.8	23yrs	204
US household spending on transportation	r=0.8	23yrs	204
Popularity of the first name Kayla	r=0.88	33yrs	200
Burglary rates in the US	r=0.78	33yrs	198
US birth rates of triplets or more	r=0.78	20yrs	196
Cottage cheese consumption	r=0.81	32yrs	192
Popularity of the first name Lauren	r=0.88	33yrs	190
The distance between Neptune and Mercury	r=0.82	34yrs	190
Robberies in the US	r=0.77	33yrs	187
Popularity of the first name Maria	r=0.88	33yrs	180
Sherbet consumption	r=0.78	32yrs	178
Robberies in Pennsylvania	r=0.77	33yrs	177
Popularity of the first name Kirsten	r=0.88	33yrs	170
Arson in Pennsylvania	r=0.76	33yrs	166
Popularity of the first name Cindy	r=0.88	33yrs	160
The number of legislators in Pennsylvania	r=0.83	20yrs	157
Frozen yogurt consumption	r=0.71	32yrs	157
Burglaries in Pennsylvania	r=0.76	33yrs	156
Popularity of the first name Ashleigh	r=0.88	33yrs	150
The number of geography teachers in Pennsylvania	r=0.84	20yrs	147
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.84	22yrs	146
Popularity of the first name Wendy	r=0.88	33yrs	140
Kerosene used in Japan	r=0.85	33yrs	140
The number of musicians in Pennsylvania	r=0.84	20yrs	137
US average milk-fat content of frozen dairy products	r=0.84	22yrs	136
Fossil fuel use in Slovakia	r=0.84	29yrs	128
The number of psychiatric aides in Pennsylvania	r=0.84	20yrs	127
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.83	22yrs	124
Gasoline pumped in France	r=0.84	33yrs	118
The number of typists in Pennsylvania	r=0.84	20yrs	117
Average milk produced per cow in the US	r=-0.86	33yrs	113
Petroluem consumption in Germany	r=0.84	32yrs	108
The number of sewing machine operators in Pennsylvania	r=0.84	20yrs	107
Petroluem consumption in Italy	r=0.84	33yrs	98
The number of floral designers in Pennsylvania	r=0.83	20yrs	96
Gasoline pumped in Italy	r=0.84	33yrs	88
The number of proofreaders in Pennsylvania	r=0.82	20yrs	84
Liquefied petroleum gas used in Japan	r=0.84	33yrs	78
Gasoline pumped in Slovenia	r=0.85	31yrs	68
Gasoline pumped in Austria	r=0.83	33yrs	57
Kerosene used globally	r=0.83	32yrs	46

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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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