Top variables that correlate with Air pollution in Vineland, New Jersey

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Data source: Environmental Protection Agency
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Air pollution in Vineland, New Jersey correlates with...

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.87	38yrs	362
Arson in New Jersey	r=0.87	38yrs	362
Remaining Forest Cover in the Brazilian Amazon	r=0.88	36yrs	360
Burglary rates in the US	r=0.85	38yrs	359
Physical album shipment volume in the United States	r=0.89	24yrs	344
The number of postal service machine operators in New Jersey	r=0.89	20yrs	340
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	340
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	337
The number of brickmasons in New Jersey	r=0.87	20yrs	336
The number of machinists in New Jersey	r=0.87	20yrs	336
Burglaries in New Jersey	r=0.85	38yrs	329
GMO use in cotton	r=0.9	23yrs	327
Motor vehicle thefts in New Jersey	r=0.85	38yrs	319
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	316
US average milk-fat content of frozen dairy products	r=0.87	22yrs	316
US household spending on prescription drugs	r=0.85	23yrs	316
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.86	22yrs	314
xkcd comics published about romance	r=0.85	17yrs	306
The number of automotive service technicians and mechanics in New Jersey	r=0.85	20yrs	304
The number of maintenance workers, machinery in New Jersey	r=0.85	20yrs	294
The number of chemical plant and system operators in New Jersey	r=0.85	20yrs	284
AIG's stock price (AIG)	r=0.85	22yrs	250
Lloyds Banking Group's stock price (LYG)	r=0.83	22yrs	248
Viewership count for Days of Our Lives	r=0.79	42yrs	246
Citigroup's stock price (C)	r=0.81	22yrs	244
Kerosene used in Macau	r=0.82	42yrs	244
NASA's budget as a percentage of the total US Federal Budget	r=0.72	44yrs	239
Popularity of the first name Ashley	r=0.84	43yrs	228
Popularity of the first name Megan	r=0.83	43yrs	227
Popularity of the first name Ashlee	r=0.83	43yrs	227
U.S. intercountry adoptions	r=0.79	23yrs	222
The distance between Neptune and the Sun	r=0.73	44yrs	216
The distance between Neptune and Earth	r=0.73	44yrs	216
The distance between Neptune and the moon	r=0.73	44yrs	216
Violent crime rates	r=0.78	38yrs	214
Kerosene used in Egypt	r=0.78	42yrs	208
US household spending on books	r=0.82	23yrs	207
US household spending on clothing	r=0.81	23yrs	206
US household spending on clothing for men	r=0.81	23yrs	206
US household spending on clothin for women	r=0.81	23yrs	206
US household spending on transportation	r=0.81	23yrs	206
Customer satisfaction with Whirlpool	r=0.68	28yrs	202
US household spending on processed fruits	r=0.79	23yrs	202
US household spending on floor coverings	r=0.79	23yrs	202
US milk fat used to produce fluid beverage milk	r=0.85	22yrs	200
US birth rates of triplets or more	r=0.81	20yrs	200
Gasoline pumped in United Kingdom	r=0.77	43yrs	198
Total number of automotive recalls	r=-0.73	43yrs	198
Popularity of the first name Mayra	r=0.83	43yrs	197
Motor vehicle thefts	r=0.82	38yrs	190
Kerosene used in Pakistan	r=0.77	42yrs	187
Popularity of the first name Maegan	r=0.83	43yrs	187
Milk consumption	r=0.82	32yrs	185
The distance between Neptune and Mercury	r=0.72	44yrs	184
Robberies in the US	r=0.81	38yrs	178
Gasoline pumped in Austria	r=0.76	43yrs	176
Popularity of the first name Andrew	r=0.82	43yrs	176
US milk fat used to produce frozen dairy products	r=0.8	22yrs	173
The number of CEOs in New Jersey	r=0.84	20yrs	168
Robberies in New Jersey	r=0.8	38yrs	166
Gasoline pumped in France	r=0.76	43yrs	166
Popularity of the first name Meghan	r=0.82	43yrs	166
The distance between Neptune and Venus	r=0.65	44yrs	164
Cottage cheese consumption	r=0.81	32yrs	162
The number of conveyor operators in New Jersey	r=0.85	20yrs	158
Gasoline pumped in Germany	r=0.83	32yrs	156
Popularity of the first name Terrell	r=0.82	43yrs	156
Ice cream consumption	r=0.81	32yrs	152
The number of switchboard operators in New Jersey	r=0.84	20yrs	147
Kerosene used in Peru	r=0.76	42yrs	146
Popularity of the first name Ashlie	r=0.82	43yrs	146
Kerosene used in Syria	r=0.76	42yrs	136
The number of electrical and electronics repairers, commercial and industrial equipment in New Jersey	r=0.83	20yrs	136
Popularity of the first name Kyle	r=0.81	43yrs	134
Frozen yogurt consumption	r=0.76	32yrs	134
The number of prepress technicians and workers in New Jersey	r=0.83	20yrs	126
Gasoline pumped in Norway	r=0.75	43yrs	125
Popularity of the first name Vanessa	r=0.81	43yrs	124
Sherbet consumption	r=0.75	32yrs	123
Petroluem consumption in Germany	r=0.82	32yrs	114
Popularity of the first name Shane	r=0.81	43yrs	114
The number of typists in New Jersey	r=0.82	20yrs	114
Popularity of the first name Jamel	r=0.81	43yrs	104
The number of tailors, dressmakers, and custom sewers in New Jersey	r=0.82	20yrs	104
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.82	22yrs	103
Kerosene used in North Korea	r=0.74	42yrs	102
Popularity of the first name Darrin	r=0.81	43yrs	94
US average milk-fat content of cottage cheese	r=0.81	22yrs	92
Kerosene used in Thailand	r=0.73	42yrs	91
Popularity of the first name Kassie	r=0.81	43yrs	84
Kerosene used in Brazil	r=0.72	42yrs	80
Average milk produced per cow in the US	r=-0.72	43yrs	79
Popularity of the first name Stefani	r=0.81	43yrs	74
Petroluem consumption in North Korea	r=0.72	42yrs	70
Popularity of the first name Lauren	r=0.8	43yrs	62
Jet fuel used in Afghanistan	r=0.71	42yrs	58
Popularity of the first name Katherine	r=0.8	43yrs	52
Kerosene used in Nicaragua	r=0.71	42yrs	48
Popularity of the first name Sean	r=0.8	43yrs	42
Kerosene used in Argentina	r=0.7	42yrs	36
Popularity of the first name Bethany	r=0.8	43yrs	32

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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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