Top variables that correlate with Air pollution in Vincennes, Indiana

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Data source: Environmental Protection Agency
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Air pollution in Vincennes, Indiana correlates with...

Variable	Correlation	Years	Sys. Score
Viewership count of American Idol Season Finale	r=0.9	21yrs	376
The number of postmasters in Indiana	r=0.92	20yrs	374
Asthma attacks in American children	r=0.88	23yrs	366
Liquefied petroleum gas used in Kosovo	r=0.92	14yrs	366
Asthma prevalence in American children	r=0.87	17yrs	358
US household spending on vehicle insurance	r=0.91	23yrs	356
Kerosene used in United States	r=0.86	39yrs	352
US birth rates of triplets or more	r=0.87	20yrs	344
Gasoline pumped in Croatia	r=0.85	30yrs	342
U.S. intercountry adoptions	r=0.88	23yrs	341
Cigarette Smoking Rate for US adults	r=0.87	21yrs	338
US production of fluid beverage milk	r=0.86	22yrs	337
US production of cottage cheese	r=0.86	22yrs	337
US dairy skim solids used to produce cottage cheese	r=0.86	22yrs	336
Popularity of the first name Gretchen	r=0.88	39yrs	336
The number of postal service machine operators in Indiana	r=0.87	20yrs	336
Popularity of the first name Bryan	r=0.86	39yrs	332
Popularity of the first name Jermaine	r=0.86	39yrs	332
GMO use in cotton	r=0.89	23yrs	326
GMO use in cotton	r=0.88	23yrs	324
GMO use in cotton	r=0.87	23yrs	322
US household spending on mortgage interest and charges	r=0.88	23yrs	321
US household spending on prescription drugs	r=0.88	23yrs	321
US household spending on clothin for women	r=0.86	23yrs	318
Pirate attacks globally	r=0.86	14yrs	304
Popularity of the first name Charity	r=0.86	39yrs	302
United States music album sales	r=0.85	16yrs	300
Popularity of the first name Jenifer	r=0.86	39yrs	292
US average milk-fat content of cottage cheese	r=0.9	22yrs	290
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.89	22yrs	278
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	266
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.86	22yrs	254
Asthma attacks in American children	r=0.8	23yrs	248
Burglary rates in the US	r=0.77	38yrs	242
Burglaries in Indiana	r=0.77	38yrs	242
Arson in United States	r=0.75	38yrs	239
Viewership count for Days of Our Lives	r=0.72	38yrs	232
Physical album shipment volume in the United States	r=0.83	24yrs	230
The number of floral designers in Indiana	r=0.85	20yrs	228
Remaining Forest Cover in the Brazilian Amazon	r=0.68	36yrs	225
The distance between Neptune and the Sun	r=0.78	40yrs	220
The distance between Neptune and Earth	r=0.78	40yrs	220
The distance between Neptune and the moon	r=0.78	40yrs	220
US Employment Rate	r=0.7	33yrs	219
Number of edits to the Wikipedia article for Thanksgiving	r=0.83	16yrs	216
Jet fuel used in American Samoa	r=0.84	38yrs	214
Asthma attacks in American children	r=0.77	23yrs	214
US household spending on fresh milk and cream	r=0.83	23yrs	208
US household spending on clothing	r=0.83	23yrs	208
Total value of all $1 bills printed	r=0.73	33yrs	208
US household spending on postage and stationery	r=0.82	23yrs	207
Lloyds Banking Group's stock price (LYG)	r=0.75	22yrs	206
US household spending on clothing for men	r=0.81	23yrs	206
AIG's stock price (AIG)	r=0.74	22yrs	204
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.74	22yrs	204
Arson in Indiana	r=0.71	38yrs	203
Nuclear power generation in Germany	r=0.84	31yrs	200
The number of bill collectors in Indiana	r=0.84	20yrs	198
Kerosene used globally	r=0.82	38yrs	190
The number of ticket agents in Indiana	r=0.84	20yrs	187
The distance between Neptune and Mercury	r=0.76	40yrs	186
GMO use in corn grown in Indiana	r=0.82	24yrs	184
Fossil fuel use in North Macedonia	r=0.83	30yrs	177
The number of couriers and messengers in Indiana	r=0.84	20yrs	177
Popularity of the first name Melisa	r=0.85	39yrs	176
Kerosene used in Norway	r=0.79	39yrs	167
The number of home appliance repairers in Indiana	r=0.83	20yrs	166
Popularity of the first name Jason	r=0.84	39yrs	164
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.84	22yrs	158
Kerosene used in Israel	r=0.78	39yrs	156
Popularity of the first name Leslie	r=0.84	39yrs	154
Kerosene used in El Salvador	r=0.78	38yrs	144
Popularity of the first name Wendy	r=0.84	39yrs	144
Ice cream consumption	r=0.8	32yrs	140
Kerosene used in Macau	r=0.78	38yrs	134
Popularity of the first name Joel	r=0.83	39yrs	133
Sherbet consumption	r=0.78	32yrs	128
Fossil fuel use in Slovakia	r=0.81	29yrs	123
Popularity of the first name Karen	r=0.83	39yrs	123
Popularity of the first name Lance	r=0.83	39yrs	113
Liquefied petroleum gas used in Denmark	r=0.76	39yrs	112
Milk consumption	r=0.72	32yrs	110
Popularity of the first name Cedric	r=0.83	39yrs	103
Gasoline pumped in Slovenia	r=0.81	31yrs	102
Brick cheese consumption	r=0.76	27yrs	100
Popularity of the first name Kathy	r=0.83	39yrs	93
Gasoline pumped in Norway	r=0.75	39yrs	91
US average milk-fat content of frozen dairy products	r=0.85	22yrs	88
Popularity of the first name Antwan	r=0.83	39yrs	83
Gasoline pumped in Albania	r=0.74	38yrs	78
Popularity of the first name Valarie	r=0.83	39yrs	73
Average milk produced per cow in the US	r=-0.8	39yrs	73
Gasoline pumped in Bulgaria	r=0.74	38yrs	68
Popularity of the first name Vanessa	r=0.82	39yrs	62
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.81	22yrs	62
Petroluem consumption in Denmark	r=0.73	39yrs	58
Popularity of the first name Jillian	r=0.82	39yrs	52
Kerosene used in Montserrat	r=0.76	35yrs	48
Popularity of the first name Jenny	r=0.82	39yrs	42
Gasoline pumped in Sweden	r=0.73	39yrs	38
Popularity of the first name Shaun	r=0.82	39yrs	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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