Top variables that correlate with Air pollution in St. Marys, Pennsylvania

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

Variable	Correlation	Years	Has img?
Motor vehicle thefts in Pennsylvania	r=0.89	33yrs	Yes!
Violent crime rates	r=0.85	33yrs	Yes!

Air pollution in St. Marys, Pennsylvania also correlates with...

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.9	33yrs	390
Kerosene used in Peru	r=0.91	32yrs	383
Gasoline pumped in Germany	r=0.9	32yrs	382
Google searches for 'snoop dog'	r=0.91	19yrs	373
Popularity of the first name Mercedes	r=0.92	33yrs	366
Popularity of the first name Chastity	r=0.92	33yrs	366
Popularity of the first name Lynsey	r=0.93	32yrs	366
NASA's budget as a percentage of the total US Federal Budget	r=0.9	33yrs	360
Arson in United States	r=0.87	33yrs	357
Viewership count for Days of Our Lives	r=0.89	32yrs	356
Gasoline pumped in France	r=0.9	33yrs	352
Physical album shipment volume in the United States	r=0.86	24yrs	339
Popularity of the first name Sarah	r=0.91	33yrs	334
The distance between Neptune and Earth	r=0.89	33yrs	334
The distance between Neptune and the moon	r=0.89	33yrs	334
The number of postal service machine operators in Pennsylvania	r=0.85	20yrs	334
The distance between Neptune and the Sun	r=0.88	33yrs	332
Motor vehicle thefts	r=0.87	33yrs	327
Popularity of the first name Mary	r=0.91	33yrs	324
Gasoline pumped in United Kingdom	r=0.88	33yrs	320
US household spending on books	r=0.86	23yrs	318
Popularity of the first name Bethany	r=0.91	33yrs	314
Kerosene used in Egypt	r=0.87	32yrs	307
Popularity of the 'harambe' meme	r=0.94	7yrs	306
Popularity of the first name Darius	r=0.91	33yrs	304
The average number of likes on Numberphile YouTube videos	r=0.85	12yrs	302
The distance between Neptune and Mercury	r=0.87	33yrs	301
Petroluem consumption in Germany	r=0.87	32yrs	297
Popularity of the first name Ashleigh	r=0.91	33yrs	294
Kerosene used in Syria	r=0.87	32yrs	287
Popularity of the first name Tia	r=0.91	33yrs	284
Kerosene used in Macau	r=0.86	32yrs	276
Popularity of the first name Raquel	r=0.91	33yrs	274
Kerosene used in Philippines	r=0.86	32yrs	266
Popularity of the first name Chasity	r=0.91	33yrs	264
Gasoline pumped in Spain	r=0.86	33yrs	256
Popularity of the first name Kacie	r=0.91	33yrs	254
Kerosene used in Thailand	r=0.86	32yrs	246
AIG's stock price (AIG)	r=0.82	21yrs	245
Popularity of the first name Maegan	r=0.91	33yrs	244
Carjackings in the US	r=0.83	27yrs	240
Popularity of the first name Brandan	r=0.91	33yrs	234
Milk consumption	r=0.84	32yrs	228
Google searches for 'learn spanish'	r=0.84	19yrs	228
The number of telemarketers in Pennsylvania	r=0.84	20yrs	228
The number of prepress technicians and workers in Pennsylvania	r=0.85	20yrs	228
NASA's budget appropriation	r=0.7	33yrs	225
Popularity of the first name Eboni	r=0.91	33yrs	224
Total annual sales of Ford Motors in the United States	r=0.82	23yrs	224
Frozen yogurt consumption	r=0.82	32yrs	224
Cottage cheese consumption	r=0.81	32yrs	222
US Employment Rate	r=0.69	33yrs	218
The number of movies Gregory Peck appeared in	r=0.76	33yrs	216
Popularity of the first name Schuyler	r=0.91	33yrs	214
Lloyds Banking Group's stock price (LYG)	r=0.81	21yrs	214
Citigroup's stock price (C)	r=0.79	21yrs	210
Customer satisfaction with Frontier Communications	r=0.71	28yrs	207
Arson in Pennsylvania	r=0.83	33yrs	206
Annual US household spending on books	r=0.81	23yrs	206
US household spending on clothing for men	r=0.81	23yrs	206
Popularity of the first name Johnna	r=0.91	33yrs	204
US household spending on processed fruits	r=0.8	23yrs	204
US household spending on transportation	r=0.8	23yrs	204
Total number of automotive recalls	r=-0.83	33yrs	198
Customer satisfaction with Apple	r=-0.88	28yrs	198
The number of geography teachers in Pennsylvania	r=0.84	20yrs	197
Robberies in the US	r=0.83	33yrs	196
Total likes of Numberphile YouTube videos	r=0.85	12yrs	196
Popularity of the first name Jacques	r=0.91	33yrs	194
Google searches for 'Panama Canal'	r=0.81	19yrs	193
Ice cream consumption	r=0.8	32yrs	190
The number of tool and die makers in Pennsylvania	r=0.84	20yrs	187
Burglary rates in the US	r=0.81	33yrs	183
Popularity of the first name Kayla	r=0.9	33yrs	182
The number of musicians in Pennsylvania	r=0.83	20yrs	176
Orange's stock price (ORAN)	r=0.76	21yrs	176
Sherbet consumption	r=0.75	32yrs	173
Popularity of the first name Megan	r=0.9	33yrs	172
The number of counter and rental clerks in Pennsylvania	r=0.82	20yrs	164
Burglaries in Pennsylvania	r=0.77	33yrs	157
Average milk produced per cow in the US	r=-0.89	33yrs	156
The number of carpenters in Pennsylvania	r=0.82	20yrs	154
Robberies in Pennsylvania	r=0.77	33yrs	147
US average milk-fat content of frozen dairy products	r=0.81	22yrs	142
Fossil fuel use in Greenland	r=0.83	32yrs	129
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.79	22yrs	128
Kerosene used in Australia	r=0.84	33yrs	118
The number of typists in Pennsylvania	r=0.82	20yrs	114
Gasoline pumped in Austria	r=0.84	33yrs	108
The number of compensation and benefits managers in Pennsylvania	r=0.82	19yrs	103
Kerosene used in Brazil	r=0.84	32yrs	98
The number of floral designers in Pennsylvania	r=0.8	20yrs	91
Liquefied petroleum gas used in Denmark	r=0.84	33yrs	88
The number of roofers in Pennsylvania	r=0.8	20yrs	81
Gasoline pumped in Italy	r=0.84	33yrs	78
The number of cutters and trimmers, hand in Pennsylvania	r=0.8	20yrs	71
Liquefied petroleum gas used in Japan	r=0.84	33yrs	68
Kerosene used in Norway	r=0.84	33yrs	58
Gasoline pumped in Norway	r=0.82	33yrs	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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