Top variables that correlate with Air pollution in Washington, D.C.

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Data source: Environmental Protection Agency
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Air pollution in Washington, D.C. correlates with...

Variable	Correlation	Years	Has img?
Associates degrees awarded in Business and management	r=0.94	11yrs	No
The distance between Neptune and the Sun	r=0.93	44yrs	Yes!
The distance between Neptune and the moon	r=0.93	44yrs	Yes!
Popularity of the first name Marc	r=0.92	43yrs	No
Arson in United States	r=0.9	38yrs	No
Kerosene used in Peru	r=0.9	42yrs	Yes!
Ice cream consumption	r=0.9	32yrs	No
Milk consumption	r=0.89	32yrs	No
Gasoline pumped in Austria	r=0.89	43yrs	No
Robberies in the US	r=0.84	38yrs	No
Violent crime rates	r=0.81	38yrs	Yes!

Air pollution in Washington, D.C. also correlates with...

Variable	Correlation	Years	Sys. Score
The distance between Neptune and Earth	r=0.93	44yrs	381
Popularity of the first name Joseph	r=0.94	43yrs	378
Popularity of the first name Chasity	r=0.94	43yrs	378
Popularity of the first name Jonathan	r=0.93	43yrs	377
Physical album shipment volume in the United States	r=0.9	24yrs	375
Viewership count for Days of Our Lives	r=0.89	42yrs	366
Burglary rates in the US	r=0.88	38yrs	364
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
Kerosene used globally	r=0.9	42yrs	362
Gasoline pumped in France	r=0.9	43yrs	362
The distance between Neptune and Mercury	r=0.92	44yrs	350
Popularity of the first name Rene	r=0.93	43yrs	347
Popularity of the first name Johnna	r=0.93	43yrs	337
Cottage cheese consumption	r=0.86	32yrs	334
GMO use in cotton	r=0.89	23yrs	326
Popularity of the first name Matthew	r=0.92	43yrs	326
Number of edits to the Wikipedia article for Thanksgiving	r=0.85	16yrs	324
US household spending on clothin for women	r=0.88	23yrs	321
US household spending on clothing	r=0.87	23yrs	320
US household spending on clothing for men	r=0.87	23yrs	320
US household spending on prescription drugs	r=0.86	23yrs	318
Kerosene used in Thailand	r=0.87	42yrs	317
Popularity of the first name Joshua	r=0.92	43yrs	316
Kerosene used in Brazil	r=0.86	42yrs	306
Popularity of the first name Ryan	r=0.92	43yrs	306
Sherbet consumption	r=0.85	32yrs	303
Kerosene used in Egypt	r=0.86	42yrs	296
Popularity of the first name Sarah	r=0.92	43yrs	296
Kerosene used in Macau	r=0.86	42yrs	286
Popularity of the first name William	r=0.92	43yrs	286
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.89	22yrs	278
Popularity of the first name Elizabeth	r=0.92	43yrs	276
Petroluem consumption in Germany	r=0.87	32yrs	267
US average milk-fat content of frozen dairy products	r=0.88	22yrs	267
Popularity of the first name Bridget	r=0.92	43yrs	266
NASA's budget as a percentage of the total US Federal Budget	r=0.85	44yrs	258
US average milk-fat content of cottage cheese	r=0.88	22yrs	257
Gasoline pumped in Germany	r=0.86	32yrs	256
Popularity of the first name Cindy	r=0.92	43yrs	256
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	22yrs	246
AIG's stock price (AIG)	r=0.82	22yrs	246
Lloyds Banking Group's stock price (LYG)	r=0.82	22yrs	246
Gasoline pumped in Slovenia	r=0.86	31yrs	244
Citigroup's stock price (C)	r=0.8	22yrs	243
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.87	22yrs	236
Popularity of the first name Darren	r=0.92	43yrs	236
US birth rates of triplets or more	r=0.82	20yrs	232
Liquefied petroleum gas used in Greenland	r=0.88	22yrs	228
U.S. intercountry adoptions	r=0.82	23yrs	227
Cigarette Smoking Rate for US adults	r=0.83	21yrs	226
US Employment Rate	r=0.75	33yrs	226
Popularity of the first name Ramon	r=0.92	43yrs	226
Burglaries in District of Columbia	r=0.85	38yrs	224
Emmy Awards Ceremony viewership	r=0.67	36yrs	218
Total number of automotive recalls	r=-0.9	43yrs	216
Popularity of the first name Steve	r=0.92	43yrs	216
Motor vehicle thefts	r=0.85	38yrs	214
Asthma attacks in American children	r=0.77	23yrs	214
Automotive recalls issued by BMW of North America	r=-0.83	43yrs	212
Automotive recalls for issues with the Electrical System	r=-0.86	43yrs	210
Customer satisfaction with Whirlpool	r=0.73	28yrs	210
US household spending on books	r=0.84	23yrs	210
Popularity of the first name Arlene	r=0.92	43yrs	206
Automotive recalls for issues with the Power Train	r=-0.82	43yrs	206
US household spending on processed fruits	r=0.81	23yrs	206
Automotive recalls issued by Honda	r=-0.75	43yrs	204
Automotive recalls issued by Nissan North America	r=-0.75	43yrs	204
US household spending on fresh milk and cream	r=0.8	23yrs	204
US household spending on mortgage interest and charges	r=0.8	23yrs	204
US household spending on vehicle insurance	r=0.8	23yrs	204
Automotive recalls issued by Hyundai Motor America	r=-0.79	37yrs	202
Popularity of the first name Darin	r=0.92	43yrs	196
Popularity of the first name Dayna	r=0.92	43yrs	186
Orange's stock price (ORAN)	r=0.78	22yrs	180
The distance between Neptune and Venus	r=0.73	44yrs	176
Robberies in District of Columbia	r=0.68	38yrs	168
Barclays' stock price (BCS)	r=0.77	22yrs	168
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.76	22yrs	157
US milk fat used to produce fluid beverage milk	r=0.83	22yrs	138
Hydopower energy generated in Denmark	r=0.84	42yrs	130
Gasoline pumped in Norway	r=0.85	43yrs	120
Average milk produced per cow in the US	r=-0.92	43yrs	119
Petroluem consumption in Denmark	r=0.84	43yrs	108
Frozen yogurt consumption	r=0.75	32yrs	103
Petroluem consumption in Italy	r=0.84	43yrs	98
Average number of milk cows in the United States	r=0.62	43yrs	90
Kerosene used in Pakistan	r=0.84	42yrs	88
Kerosene used in Syria	r=0.84	42yrs	78
Gasoline pumped in United Kingdom	r=0.84	43yrs	68
Kerosene used in United States	r=0.84	43yrs	58

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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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