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

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

Variable	Correlation	Years	Sys. Score
How provocative MinuteEarth YouTube video titles are	r=0.88	11yrs	265
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
Kerosene used in Norway	r=0.74	43yrs	234
Petroluem consumption in Romania	r=0.74	42yrs	232
Kerosene used in Brazil	r=0.73	42yrs	231
Motor vehicle thefts	r=0.68	38yrs	228
Motor vehicle thefts in New York	r=0.67	38yrs	227
US Hospital Occupancy Rate	r=0.85	18yrs	226
The number of telephone operators in New York	r=0.84	19yrs	226
Arson in United States	r=0.65	38yrs	224
Popularity of the first name Melvin	r=0.76	43yrs	216
Popularity of the first name Irma	r=0.76	43yrs	216
Popularity of the first name Janel	r=0.76	43yrs	216
Cottage cheese consumption	r=0.73	32yrs	210
Ice cream consumption	r=0.7	32yrs	206
The distance between Neptune and the Sun	r=0.66	44yrs	206
The distance between Neptune and Earth	r=0.66	44yrs	206
The distance between Neptune and the moon	r=0.66	44yrs	206
Kerosene used in Peru	r=0.73	42yrs	201
Average milk produced per cow in the US	r=-0.69	43yrs	196
Burglary rates in the US	r=0.65	38yrs	194
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.81	20yrs	192
The number of postal service machine operators in New York	r=0.79	20yrs	190
Petroluem consumption in Finland	r=0.72	43yrs	190
Physical album shipment volume in the United States	r=0.75	24yrs	188
NASA's budget as a percentage of the total US Federal Budget	r=0.58	44yrs	188
Total number of automotive recalls	r=-0.63	43yrs	188
Customer satisfaction with Apple	r=-0.77	28yrs	188
Viewership count for Days of Our Lives	r=0.59	42yrs	186
Popularity of the first name Tom	r=0.76	43yrs	186
Career regular season goals scored by Sidney Crosby	r=0.75	21yrs	184
Kerosene used in Turkiye	r=0.71	43yrs	179
The divorce rate in New York	r=0.68	23yrs	178
The average number of likes on Extra History YouTube videos	r=0.81	12yrs	176
Popularity of the first name Alisa	r=0.75	43yrs	175
USA Population	r=-0.7	43yrs	174
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.64	43yrs	174
Number of Lawyers in the United States	r=-0.71	34yrs	174
Super Bowl TV viewership	r=-0.74	33yrs	172
GMO use in cotton	r=0.76	23yrs	171
The distance between Neptune and Mercury	r=0.62	44yrs	170
Budget for largest movie production	r=-0.63	43yrs	170
Total number of live births in Australia	r=-0.66	43yrs	170
US Annual Tax Revenue	r=-0.66	42yrs	169
Violent crime rates	r=0.6	38yrs	166
Total likes of Mark Rober YouTube videos	r=0.74	13yrs	166
Gasoline pumped in France	r=0.69	43yrs	166
US household spending on books	r=0.74	23yrs	165
Popularity of the first name Dora	r=0.75	43yrs	165
Total viewership of the Aviva Premiership Rugby final	r=-0.92	14yrs	164
Number of edits to the Wikipedia article for Thanksgiving	r=0.72	16yrs	164
Disney movies released	r=0.67	23yrs	162
The number of typists in New York	r=0.79	20yrs	160
Popularity of the first name Justin	r=0.74	43yrs	154
Kerosene used in Portugal	r=0.67	43yrs	153
Average number of milk cows in the United States	r=0.53	43yrs	146
The number of proofreaders in New York	r=0.76	20yrs	145
Popularity of the first name Rodney	r=0.74	43yrs	144
Kerosene used in United States	r=0.67	43yrs	143
Burglaries in New York	r=0.64	38yrs	142
Total likes of Extra History YouTube videos	r=0.75	12yrs	136
The number of fiberglass laminators and fabricators in New York	r=0.76	20yrs	135
Popularity of the first name Yvette	r=0.74	43yrs	134
Gasoline pumped in Austria	r=0.66	43yrs	132
Robberies in New York	r=0.63	38yrs	131
Milk consumption	r=0.66	32yrs	131
The number of prepress technicians and workers in New York	r=0.76	20yrs	125
Popularity of the first name Dayna	r=0.74	43yrs	124
The distance between Neptune and Venus	r=0.57	44yrs	122
Gasoline pumped in Belgium	r=0.66	43yrs	122
Robberies in the US	r=0.61	38yrs	118
Canned whole evaporated and condensed milk consumption	r=0.65	32yrs	118
Intel Corporation's annual revenue	r=-0.7	36yrs	117
Popularity of the first name Jimmie	r=0.74	43yrs	114
Petroluem consumption in Denmark	r=0.66	43yrs	112
Annual count of part-time employees in the United States	r=-0.71	33yrs	110
Number of active magazines in the United States	r=-0.89	15yrs	104
Popularity of the first name Sammy	r=0.74	43yrs	104
Hydopower energy generated in Denmark	r=0.64	42yrs	100
The number of industrial machinery mechanics in New York	r=-0.83	20yrs	94
Popularity of the first name Marla	r=0.74	43yrs	94
Kerosene used in Argentina	r=0.66	42yrs	90
Arson in New York	r=0.59	38yrs	85
The number of locksmiths and safe repairers in New York	r=0.75	20yrs	84
Popularity of the first name Chadwick	r=0.74	43yrs	84
Kerosene used in Switzerland	r=0.65	43yrs	80
The number of tool and die makers in New York	r=0.75	20yrs	74
Popularity of the first name Erik	r=0.73	43yrs	72
Kerosene used in Thailand	r=0.66	42yrs	70
The number of furniture finishers in New York	r=0.75	20yrs	64
Popularity of the first name Monique	r=0.73	43yrs	62
Jet fuel used in Zambia	r=0.66	42yrs	60
Popularity of the first name Danny	r=0.73	43yrs	52
The number of chemists in New York	r=0.74	20yrs	52
Gasoline pumped in Romania	r=0.65	42yrs	49
Popularity of the first name Micheal	r=0.73	43yrs	42
The number of data entry keyers in New York	r=0.74	20yrs	42
Kerosene used in Uruguay	r=0.65	42yrs	39
Popularity of the first name Joe	r=0.73	43yrs	32
Gasoline pumped in Bulgaria	r=0.64	42yrs	28
Popularity of the first name Steve	r=0.73	43yrs	22

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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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