Top variables that correlate with Air pollution in New York City

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Data source: Environmental Protection Agency
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Air pollution in New York City correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Darin	r=0.94	43yrs	No
Popularity of the first name Marc	r=0.93	43yrs	No
Popularity of the first name Jerry	r=0.93	43yrs	No
Popularity of the first name Mary	r=0.92	43yrs	No
The distance between Neptune and Earth	r=0.92	44yrs	No
Popularity of the first name Sara	r=0.92	43yrs	No
The distance between Neptune and the Sun	r=0.92	44yrs	Yes!
Arson in United States	r=0.9	38yrs	Yes!
Popularity of the first name James	r=0.89	43yrs	No
Kerosene used in Peru	r=0.89	42yrs	No
Viewership count for Days of Our Lives	r=0.89	42yrs	Yes!
Burglary rates in the US	r=0.87	38yrs	No
AIG's stock price (AIG)	r=0.86	22yrs	No
Ice cream consumption	r=0.85	32yrs	No
The divorce rate in New York	r=0.75	23yrs	No

Air pollution in New York City also correlates with...

Variable	Correlation	Years	Sys. Score
The distance between Neptune and Mercury	r=0.92	44yrs	380
Popularity of the first name John	r=0.93	43yrs	377
Popularity of the first name Shawn	r=0.93	43yrs	377
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
Kerosene used in United States	r=0.9	43yrs	362
Gasoline pumped in France	r=0.89	43yrs	361
Burglaries in New York	r=0.85	38yrs	359
Number of edits to the Wikipedia article for Thanksgiving	r=0.87	16yrs	357
Lloyds Banking Group's stock price (LYG)	r=0.85	22yrs	356
The distance between Neptune and the moon	r=0.92	44yrs	350
Physical album shipment volume in the United States	r=0.86	24yrs	339
The number of postal service machine operators in New York	r=0.87	20yrs	336
The number of computer hardware engineers in New York	r=0.86	20yrs	335
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.86	20yrs	335
Milk consumption	r=0.85	32yrs	334
Kerosene used in Thailand	r=0.89	42yrs	330
Popularity of the first name Joe	r=0.93	43yrs	327
GMO use in cotton	r=0.86	23yrs	321
Kerosene used globally	r=0.88	42yrs	318
Popularity of the first name Cedric	r=0.93	43yrs	317
Popularity of the first name Dale	r=0.93	43yrs	307
Kerosene used in Brazil	r=0.87	42yrs	307
The number of file clerks in New York	r=0.85	20yrs	304
Popularity of the first name Chastity	r=0.93	43yrs	297
Gasoline pumped in Bulgaria	r=0.86	42yrs	296
Popularity of the first name Deana	r=0.93	43yrs	287
Petroluem consumption in Denmark	r=0.86	43yrs	286
Popularity of the first name Bryon	r=0.93	43yrs	277
Kerosene used in Turkiye	r=0.86	43yrs	276
Popularity of the first name David	r=0.92	43yrs	266
Kerosene used in Norway	r=0.85	43yrs	265
The number of judicial law clerks in New York	r=0.9	12yrs	263
Average number of milk cows in the United States	r=0.76	43yrs	261
Popularity of the first name Eric	r=0.92	43yrs	256
Gasoline pumped in Germany	r=0.87	32yrs	247
Popularity of the first name Brian	r=0.92	43yrs	246
Citigroup's stock price (C)	r=0.82	22yrs	246
NASA's budget as a percentage of the total US Federal Budget	r=0.76	44yrs	245
Petroluem consumption in Germany	r=0.86	32yrs	236
Violent crime rates	r=0.77	38yrs	232
Popularity of the first name Erin	r=0.92	43yrs	226
Carjackings in the US	r=0.74	27yrs	226
US Employment Rate	r=0.74	33yrs	225
Highest Nielsen rating for a TV show each year	r=0.66	41yrs	221
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	220
Total number of automotive recalls	r=-0.87	43yrs	212
Motor vehicle thefts	r=0.81	38yrs	208
Popularity of the first name Cynthia	r=0.92	43yrs	206
Automotive recalls issued by BMW of North America	r=-0.77	43yrs	206
Automotive recalls issued by Honda	r=-0.76	43yrs	204
US household spending on prescription drugs	r=0.8	23yrs	204
US household spending on books	r=0.8	23yrs	204
US household spending on clothing for men	r=0.79	23yrs	202
US household spending on clothin for women	r=0.79	23yrs	202
xkcd comics published about romance	r=0.85	17yrs	202
Automotive recalls for issues with the Electrical System	r=-0.77	43yrs	201
Automotive recalls for issues with the Power Train	r=-0.77	43yrs	201
Robberies in the US	r=0.81	38yrs	198
Popularity of the first name Raymond	r=0.92	43yrs	196
Cottage cheese consumption	r=0.82	32yrs	194
Popularity of the first name Veronica	r=0.92	43yrs	186
Robberies in New York	r=0.8	38yrs	186
Sherbet consumption	r=0.82	32yrs	184
The distance between Neptune and Venus	r=0.77	44yrs	182
Sumitomo Mitsui Financial Group's stock price (SMFG)	r=0.82	20yrs	182
The number of paper goods machine setters, operators, and tenders in New York	r=0.85	20yrs	178
Arson in New York	r=0.79	38yrs	175
US milk fat used to produce fluid beverage milk	r=0.81	22yrs	174
Orange's stock price (ORAN)	r=0.79	22yrs	172
The number of data entry keyers in New York	r=0.83	20yrs	166
Motor vehicle thefts in New York	r=0.76	38yrs	160
Average milk produced per cow in the US	r=-0.93	43yrs	160
The number of tool and die makers in New York	r=0.83	20yrs	156
Barclays' stock price (BCS)	r=0.74	22yrs	154
The number of kindergarten teachers in New York	r=0.82	20yrs	144
Frozen yogurt consumption	r=0.76	32yrs	144
The number of painting, coating, and decorating workers in New York	r=0.82	20yrs	134
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.82	22yrs	123
Kerosene used in Uruguay	r=0.85	42yrs	119
US average milk-fat content of frozen dairy products	r=0.82	22yrs	113
Kerosene used in Argentina	r=0.84	42yrs	108
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.81	22yrs	102
Kerosene used in Egypt	r=0.84	42yrs	98
Petroluem consumption in Romania	r=0.84	42yrs	88
Gasoline pumped in Austria	r=0.83	43yrs	77
Kerosene used in Madagascar	r=0.83	42yrs	66
Kerosene used in Portugal	r=0.82	43yrs	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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