Top variables that correlate with Air pollution in Philadelphia, Pennsylvania

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

Variable	Correlation	Years	Has img?
Popularity of the first name Mary	r=0.93	43yrs	No
The distance between Neptune and the moon	r=0.93	44yrs	No
Arson in United States	r=0.92	38yrs	No
Arson in Pennsylvania	r=0.72	38yrs	No

Air pollution in Philadelphia, Pennsylvania also correlates with...

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
Kerosene used in Peru	r=0.91	42yrs	393
Gasoline pumped in France	r=0.9	43yrs	392
Kerosene used in Thailand	r=0.9	42yrs	392
The distance between Neptune and the Sun	r=0.92	44yrs	380
The distance between Neptune and Earth	r=0.92	44yrs	380
Popularity of the first name Marc	r=0.93	43yrs	377
Popularity of the first name Chastity	r=0.93	43yrs	377
Viewership count for Days of Our Lives	r=0.9	42yrs	368
The number of farm equipment mechanics in Pennsylvania	r=0.92	13yrs	367
Burglary rates in the US	r=0.89	38yrs	365
Burglaries in Pennsylvania	r=0.86	38yrs	360
The distance between Neptune and Mercury	r=0.91	44yrs	348
Popularity of the first name John	r=0.92	43yrs	346
Physical album shipment volume in the United States	r=0.88	24yrs	342
The number of heat treating equipment setters, operators, and tenders, metal and plastic in Pennsylvania	r=0.89	20yrs	340
The number of prepress technicians and workers in Pennsylvania	r=0.88	20yrs	338
Popularity of the first name Eric	r=0.92	43yrs	336
Milk consumption	r=0.86	32yrs	336
Motor vehicle thefts	r=0.86	38yrs	330
Kerosene used in United States	r=0.87	43yrs	328
Popularity of the first name Sara	r=0.92	43yrs	326
Motor vehicle thefts in Pennsylvania	r=0.86	38yrs	320
Kerosene used in Brazil	r=0.87	42yrs	317
Popularity of the first name Shawn	r=0.92	43yrs	316
Robberies in the US	r=0.86	38yrs	310
Popularity of the first name Cynthia	r=0.92	43yrs	306
Kerosene used in Argentina	r=0.86	42yrs	306
The number of telemarketers in Pennsylvania	r=0.86	20yrs	306
Total likes of 'Be Smart' science YouTube videos	r=0.89	11yrs	306
Popularity of the first name Raymond	r=0.92	43yrs	296
Gasoline pumped in Austria	r=0.86	43yrs	296
The number of cutters and trimmers, hand in Pennsylvania	r=0.86	20yrs	295
Popularity of the first name Veronica	r=0.92	43yrs	286
Petroluem consumption in Denmark	r=0.86	43yrs	286
The number of typists in Pennsylvania	r=0.85	20yrs	284
Popularity of the first name Nancy	r=0.92	43yrs	276
Kerosene used globally	r=0.85	42yrs	274
Popularity of the first name Bridget	r=0.92	43yrs	266
Kerosene used in Egypt	r=0.85	42yrs	264
Popularity of the first name Monique	r=0.92	43yrs	256
Average number of milk cows in the United States	r=0.72	43yrs	255
NASA's budget as a percentage of the total US Federal Budget	r=0.81	44yrs	252
Gasoline pumped in Germany	r=0.89	32yrs	250
Popularity of the first name Micheal	r=0.92	43yrs	246
AIG's stock price (AIG)	r=0.81	22yrs	244
Lloyds Banking Group's stock price (LYG)	r=0.8	22yrs	243
Orange's stock price (ORAN)	r=0.79	22yrs	242
Customer satisfaction with Frontier Communications	r=0.73	28yrs	240
Petroluem consumption in Germany	r=0.88	32yrs	238
Carjackings in the US	r=0.81	27yrs	237
Popularity of the first name Joe	r=0.92	43yrs	236
Google searches for 'snoop dog'	r=0.84	20yrs	228
Popularity of the first name Toni	r=0.92	43yrs	226
Frozen yogurt consumption	r=0.82	32yrs	224
Highest Nielsen rating for a TV show each year	r=0.66	41yrs	221
US Employment Rate	r=0.69	33yrs	218
Popularity of the first name Janet	r=0.92	43yrs	216
Number of edits to the Wikipedia article for Thanksgiving	r=0.83	16yrs	216
Liquefied petroleum gas used in Greenland	r=0.85	22yrs	214
GMO use in cotton	r=0.85	23yrs	214
Total number of automotive recalls	r=-0.88	43yrs	214
Violent crime rates	r=0.83	38yrs	211
US household spending on prescription drugs	r=0.84	23yrs	210
Customer satisfaction with Walmart	r=0.73	27yrs	209
US household spending on clothing for men	r=0.83	23yrs	208
US household spending on clothin for women	r=0.83	23yrs	208
US household spending on books	r=0.83	23yrs	208
Customer satisfaction with Verizon	r=0.71	28yrs	207
US household spending on clothing	r=0.82	23yrs	207
Popularity of the first name Steve	r=0.92	43yrs	206
Automotive recalls issued by BMW of North America	r=-0.78	43yrs	206
Automotive recalls issued by Honda	r=-0.77	43yrs	206
Popularity of the first name Sonia	r=0.92	43yrs	196
US milk fat used to produce fluid beverage milk	r=0.81	22yrs	194
Popularity of the first name Chasity	r=0.92	43yrs	186
The distance between Neptune and Venus	r=0.78	44yrs	184
Cottage cheese consumption	r=0.81	32yrs	182
Citigroup's stock price (C)	r=0.78	22yrs	180
Ice cream consumption	r=0.81	32yrs	172
The number of postmasters in Pennsylvania	r=0.85	20yrs	168
Average milk produced per cow in the US	r=-0.93	43yrs	160
The number of carpenters in Pennsylvania	r=0.85	20yrs	158
Sherbet consumption	r=0.79	32yrs	149
The number of musicians in Pennsylvania	r=0.83	20yrs	146
Robberies in Pennsylvania	r=0.7	38yrs	142
The number of counter and rental clerks in Pennsylvania	r=0.83	20yrs	136
The number of postal service machine operators in Pennsylvania	r=0.83	20yrs	126
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.83	22yrs	124
Kerosene used in Turkiye	r=0.85	43yrs	120
The number of library technicians in Pennsylvania	r=0.82	20yrs	114
Kerosene used in Uruguay	r=0.85	42yrs	109
Gasoline pumped in Belgium	r=0.84	43yrs	98
Gasoline pumped in Bulgaria	r=0.84	42yrs	88
Kerosene used in Norway	r=0.84	43yrs	78
Kerosene used in Cuba	r=0.83	42yrs	66
Kerosene used in Madagascar	r=0.83	42yrs	56

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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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