Top variables that correlate with Air pollution in Michigan City, Indiana

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

Variable	Correlation	Years	Sys. Score
Popularity of the first name Corrina	r=0.86	33yrs	326
Total likes of 'Be Smart' science YouTube videos	r=0.88	11yrs	305
Popularity of the 'call me maybe' meme	r=0.85	12yrs	283
Violent crime rates	r=0.69	33yrs	245
Customer satisfaction with Frontier Communications	r=0.75	28yrs	243
Viewership count for Days of Our Lives	r=0.79	32yrs	236
Motor vehicle thefts in Indiana	r=0.75	33yrs	234
Remaining Forest Cover in the Brazilian Amazon	r=0.75	33yrs	232
Arson in United States	r=0.74	33yrs	232
NASA's budget as a percentage of the total US Federal Budget	r=0.73	34yrs	230
Gasoline pumped in Italy	r=0.77	33yrs	228
Kerosene used in Peru	r=0.78	32yrs	228
Kerosene used in Philippines	r=0.78	32yrs	228
Carjackings in the US	r=0.74	27yrs	226
Popularity of the first name Tia	r=0.81	33yrs	214
Popularity of the first name Suzanna	r=0.8	33yrs	212
The distance between Neptune and Earth	r=0.74	34yrs	208
The distance between Neptune and Mercury	r=0.74	34yrs	208
The distance between Neptune and the moon	r=0.74	34yrs	208
Customer satisfaction with Walmart	r=0.69	27yrs	203
Motor vehicle thefts	r=0.71	33yrs	198
Gasoline pumped in Germany	r=0.77	32yrs	197
Google searches for 'Titanic'	r=0.84	16yrs	194
Average milk produced per cow in the US	r=-0.74	33yrs	191
Total number of automotive recalls	r=-0.75	33yrs	190
Petroluem consumption in Nauru	r=0.76	32yrs	186
Customer satisfaction with Apple	r=-0.76	28yrs	186
Popularity of the first name Cierra	r=0.79	33yrs	181
Emmy Awards Ceremony viewership	r=0.63	33yrs	178
Customer satisfaction with Verizon	r=0.65	28yrs	178
Total likes of 3Blue1Brown YouTube videos	r=0.85	9yrs	178
Kerosene used in Syria	r=0.76	32yrs	176
The distance between Neptune and the Sun	r=0.73	34yrs	176
Milk consumption	r=0.69	32yrs	176
Arson in Indiana	r=0.69	33yrs	175
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.74	33yrs	174
Number of Lawyers in the United States	r=-0.73	33yrs	174
The number of movies Gregory Peck appeared in	r=0.68	33yrs	174
Frozen yogurt consumption	r=0.68	32yrs	172
Popularity of the first name Katlyn	r=0.79	33yrs	171
Automotive recalls for issues with Vehicle Speed Control	r=0.58	33yrs	171
Total comments on Vihart's YouTube videos	r=0.76	15yrs	171
USA Population	r=-0.75	33yrs	169
Gender pay gap in the U.S.	r=-0.72	32yrs	168
Annual Revenue of Walt Disney Company	r=-0.71	32yrs	167
Number of Registered Vehicles in the US	r=-0.74	32yrs	167
Total Sales at Clothing and Accessories Stores	r=-0.71	31yrs	166
Popularity of the 'McKayla Maroney' meme	r=0.74	16yrs	166
Kerosene used in Norway	r=0.75	33yrs	165
Popularity of the 'trollface' meme	r=0.71	18yrs	163
Popularity of the first name Marquise	r=0.79	33yrs	161
The number of paving, surfacing, and tamping equipment operators in Indiana	r=0.73	20yrs	160
Kerosene used in Cabo Verde	r=0.75	32yrs	154
Number of public school students in 12th grade	r=-0.77	33yrs	154
The number of foundry mold and coremakers in Indiana	r=0.69	20yrs	154
Number of public school students in 11th grade	r=-0.75	33yrs	152
Popularity of the first name Stephon	r=0.79	33yrs	151
Petroluem consumption in Denmark	r=0.74	33yrs	144
Popularity of the first name Schuyler	r=0.79	33yrs	141
Ice cream consumption	r=0.67	32yrs	141
Total likes of Vihart's YouTube videos	r=0.73	15yrs	136
Kerosene used in Dominica	r=0.75	32yrs	134
Burglary rates in the US	r=0.67	33yrs	132
Popularity of the first name Armand	r=0.79	33yrs	131
Popularity of the 'gangnam style' meme	r=0.8	12yrs	126
Gasoline pumped in Eritrea	r=0.78	28yrs	124
Popularity of the first name Nicholas	r=0.78	33yrs	120
Robberies in the US	r=0.66	33yrs	120
Average number of comments on Numberphile YouTube videos	r=0.7	13yrs	120
Number of households headed by single fathers in the United States	r=-0.71	32yrs	116
Yogurt consumption	r=-0.75	32yrs	116
Gasoline pumped in France	r=0.74	33yrs	114
Gasoline Prices in the US	r=-0.69	33yrs	111
Popularity of the first name Trevor	r=0.78	33yrs	110
Petroluem consumption in Germany	r=0.75	32yrs	104
Inflation in the US	r=-0.72	31yrs	104
Milk-fat consumption	r=-0.71	32yrs	102
The average number of likes on Numberphile YouTube videos	r=0.65	13yrs	102
Popularity of the first name Miranda	r=0.78	33yrs	100
US Annual Tax Revenue	r=-0.7	32yrs	98
Liquefied petroleum gas used in Japan	r=0.74	33yrs	94
Italian-type cheese consumption	r=-0.76	27yrs	92
Average length of Casually Explained YouTube videos	r=0.67	9yrs	92
Popularity of the first name Angelica	r=0.78	33yrs	90
Physical album shipment volume in the United States	r=0.67	24yrs	86
Petroluem consumption in Djibouti	r=0.74	32yrs	82
Mozzarella cheese consumption	r=-0.76	27yrs	82
Popularity of the first name Kaitlin	r=0.78	33yrs	80
Burglaries in Indiana	r=0.59	33yrs	80
NASA's budget appropriation	r=0.56	34yrs	80
Kerosene used in Seychelles	r=0.74	32yrs	72
Popularity of the first name Darius	r=0.78	33yrs	70
Gasoline pumped in Spain	r=0.73	33yrs	62
Popularity of the first name Kirsten	r=0.78	33yrs	60
Gasoline pumped in United Kingdom	r=0.73	33yrs	52
Popularity of the first name Kaela	r=0.78	33yrs	50
Gasoline pumped in Guinea-Bissau	r=0.72	32yrs	40
Popularity of the first name Myranda	r=0.78	33yrs	40
Petroluem consumption in Japan	r=0.72	33yrs	30
Popularity of the first name Ladarius	r=0.78	33yrs	30
Popularity of the first name Eboni	r=0.78	33yrs	20

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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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