Top variables that correlate with Air pollution in Syracuse, New York

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

Variable	Correlation	Years	Has img?
Popularity of the first name Jena	r=0.88	43yrs	Yes!
Arson in United States	r=0.83	38yrs	Yes!
Remaining Forest Cover in the Brazilian Amazon	r=0.82	36yrs	Yes!

Air pollution in Syracuse, New York also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Macau	r=0.86	42yrs	356
Physical album shipment volume in the United States	r=0.87	24yrs	340
Ice cream consumption	r=0.87	32yrs	336
The number of patternmakers, metal and plastic in New York	r=0.87	17yrs	334
Liquefied petroleum gas used in Greenland	r=0.85	22yrs	334
Burglary rates in the US	r=0.82	38yrs	250
Violent crime rates	r=0.67	38yrs	247
Gasoline pumped in Norway	r=0.78	43yrs	240
Viewership count for Days of Our Lives	r=0.71	42yrs	234
Popularity of the first name Andrew	r=0.85	43yrs	230
NASA's budget as a percentage of the total US Federal Budget	r=0.64	44yrs	227
Popularity of the first name Maegan	r=0.83	43yrs	227
US milk fat used to produce fluid beverage milk	r=0.82	22yrs	226
US Employment Rate	r=0.69	33yrs	218
Milk consumption	r=0.76	32yrs	216
Burglaries in New York	r=0.79	38yrs	215
GMO use in cotton	r=0.83	23yrs	212
The distance between Neptune and the Sun	r=0.7	44yrs	212
The distance between Neptune and Earth	r=0.7	44yrs	212
The distance between Neptune and the moon	r=0.7	44yrs	212
US household spending on books	r=0.84	23yrs	210
Gasoline pumped in United Kingdom	r=0.77	43yrs	208
Asthma attacks in American children	r=0.73	23yrs	208
AIG's stock price (AIG)	r=0.76	22yrs	207
Lloyds Banking Group's stock price (LYG)	r=0.76	22yrs	207
US household spending on clothing	r=0.81	23yrs	206
Automotive recalls for issues with Vehicle Speed Control	r=0.6	43yrs	204
US household spending on clothing for men	r=0.8	23yrs	204
US household spending on clothin for women	r=0.8	23yrs	204
US household spending on floor coverings	r=0.79	23yrs	202
Arson in New York	r=0.76	38yrs	200
Kerosene used in Brazil	r=0.77	42yrs	197
Popularity of the first name Kassie	r=0.83	43yrs	197
Automotive recalls for issues with the Electrical System	r=-0.69	43yrs	193
Total number of automotive recalls	r=-0.67	43yrs	192
U.S. intercountry adoptions	r=0.78	23yrs	191
Automotive recalls for issues with the Power Train	r=-0.66	43yrs	190
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.79	20yrs	190
Customer satisfaction with Southwest Airlines	r=-0.79	28yrs	190
Motor vehicle thefts	r=0.74	38yrs	188
Popularity of the first name Ashely	r=0.83	43yrs	187
Kerosene used in Egypt	r=0.76	42yrs	186
Cottage cheese consumption	r=0.77	32yrs	186
The number of postal service machine operators in New York	r=0.77	20yrs	186
Customer satisfaction with Costco	r=-0.82	22yrs	186
Number of Lawyers in the United States	r=-0.8	34yrs	182
Citigroup's stock price (C)	r=0.73	22yrs	182
Total annual sales of Ford Motors in the United States	r=0.73	23yrs	180
Budget for largest movie production	r=-0.72	43yrs	179
The distance between Neptune and Mercury	r=0.68	44yrs	178
Intel Corporation's annual revenue	r=-0.81	36yrs	178
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.68	43yrs	178
Patents granted in the US	r=-0.69	41yrs	178
Robberies in the US	r=0.73	38yrs	176
Kerosene used in Syria	r=0.76	42yrs	176
Popularity of the first name Ashley	r=0.82	43yrs	176
Patents granted in the US	r=-0.69	41yrs	176
The divorce rate in New York	r=0.67	23yrs	176
USA Population	r=-0.71	43yrs	175
Sherbet consumption	r=0.72	32yrs	168
Robberies in New York	r=0.73	38yrs	166
Popularity of the first name Lauren	r=0.82	43yrs	166
Gasoline pumped in Austria	r=0.74	43yrs	164
Popularity of the first name Sean	r=0.82	43yrs	156
US average milk-fat content of frozen dairy products	r=0.84	22yrs	156
The number of data entry keyers in New York	r=0.77	20yrs	156
Kerosene used in Peru	r=0.75	42yrs	154
Motor vehicle thefts in New York	r=0.69	38yrs	150
Orange's stock price (ORAN)	r=0.71	22yrs	150
Popularity of the first name Vanessa	r=0.82	43yrs	146
The number of prepress technicians and workers in New York	r=0.76	20yrs	145
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.83	22yrs	144
Gasoline pumped in France	r=0.73	43yrs	142
Popularity of the first name Shane	r=0.82	43yrs	136
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.83	22yrs	134
Kerosene used in Pakistan	r=0.73	42yrs	131
Popularity of the first name Ashlee	r=0.82	43yrs	126
Total number of live births in Australia	r=-0.71	43yrs	125
Jet fuel used in Syria	r=0.73	42yrs	121
Average milk produced per cow in the US	r=-0.7	43yrs	117
Popularity of the first name Bryan	r=0.8	43yrs	112
Nuclear power generation in Germany	r=0.76	31yrs	108
Popularity of the first name Mayra	r=0.8	43yrs	102
Gasoline pumped in Sweden	r=0.7	43yrs	98
US milk fat used to produce frozen dairy products	r=0.75	22yrs	96
Popularity of the first name Terrell	r=0.8	43yrs	92
Hydopower energy generated in Puerto Rico	r=0.68	42yrs	86
Popularity of the first name Ashly	r=0.8	43yrs	82
Fossil fuel use in Slovakia	r=0.76	29yrs	76
Popularity of the first name Anthony	r=0.79	43yrs	71
Petroluem consumption in Antarctica	r=0.7	42yrs	66
Popularity of the first name Megan	r=0.79	43yrs	61
Jet fuel used in French Polynesia	r=0.7	42yrs	56
Popularity of the first name Kevin	r=0.79	43yrs	51
Gasoline pumped in Germany	r=0.76	32yrs	46
Popularity of the first name Katherine	r=0.79	43yrs	41
Kerosene used in Japan	r=0.69	43yrs	36
Popularity of the first name Katie	r=0.79	43yrs	31

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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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