Top variables that correlate with Air pollution in Fond du Lac, Wisconsin

← Discover a correlation

A linear line chart

Data source: Environmental Protection Agency
Report an error

Air pollution in Fond du Lac, Wisconsin correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the 'call me maybe' meme	r=0.94	11yrs	346
Total comments on Vihart's YouTube videos	r=0.85	14yrs	304
Google searches for 'Titanic'	r=0.87	15yrs	303
Popularity of the 'gangnam style' meme	r=0.89	11yrs	288
Jet fuel used in Sierra Leone	r=0.7	38yrs	222
Kerosene used in United States	r=0.67	39yrs	219
Kerosene used in Norway	r=0.65	39yrs	216
Popularity of the first name Dora	r=0.66	39yrs	198
Popularity of the first name Suzanna	r=0.65	39yrs	196
The average number of likes on Numberphile YouTube videos	r=0.85	12yrs	196
Average number of comments on Numberphile YouTube videos	r=0.85	12yrs	196
Popularity of the 'McKayla Maroney' meme	r=0.79	16yrs	173
Popularity of the first name Nadine	r=0.64	39yrs	164
The distance between Neptune and the moon	r=0.61	39yrs	163
Total likes of Vihart's YouTube videos	r=0.81	14yrs	162
Viewership count for Days of Our Lives	r=0.59	38yrs	162
The distance between Neptune and the Sun	r=0.6	39yrs	162
The distance between Neptune and Earth	r=0.6	39yrs	162
Arson in United States	r=0.57	38yrs	162
Burglary rates in the US	r=0.57	38yrs	162
Remaining Forest Cover in the Brazilian Amazon	r=0.57	36yrs	158
Burglaries in Wisconsin	r=0.54	38yrs	158
Carjackings in the US	r=0.6	27yrs	156
Google searches for 'Jennifer Lopez'	r=0.7	19yrs	156
Kerosene used in El Salvador	r=0.65	38yrs	155
Average milk produced per cow in the US	r=-0.6	39yrs	153
Total number of automotive recalls	r=-0.6	39yrs	152
Google searches for 'Gangnam Style'	r=0.81	11yrs	150
Number of edits to the Wikipedia article for Taylor Swift	r=0.58	17yrs	144
Brick cheese consumption	r=0.65	27yrs	143
The marriage rate in Wisconsin	r=0.56	23yrs	143
Kerosene used in Peru	r=0.62	38yrs	140
Popularity of the 'y u no' meme	r=0.76	17yrs	140
Customer satisfaction with FOXNews.com	r=0.6	12yrs	140
Bankruptcy filings in the US	r=0.61	24yrs	138
Ice cream consumption	r=0.58	32yrs	138
The divorce rate in Wisconsin	r=0.52	23yrs	138
Customer satisfaction with Frontier Communications	r=0.47	28yrs	136
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.59	39yrs	135
Popularity of the first name Leann	r=0.64	39yrs	134
Physical album shipment volume in the United States	r=0.63	24yrs	134
The number of movies Michelle Pfeiffer appeared in	r=0.51	39yrs	134
West Nile Virus Cases	r=0.63	21yrs	133
NASA's budget as a percentage of the total US Federal Budget	r=0.48	39yrs	133
US household spending on prescription drugs	r=0.65	23yrs	132
Total number of live births in Australia	r=-0.61	39yrs	131
USA Population	r=-0.61	39yrs	131
The distance between Neptune and Mercury	r=0.59	39yrs	130
Lukas Podolski's domestic match goal count	r=0.63	19yrs	130
Kerosene used in Syria	r=0.6	38yrs	128
Total comments on Numberphile YouTube videos	r=0.76	12yrs	128
Popularity of the 'scumbag steve' meme	r=0.73	17yrs	125
Popularity of the first name Catrina	r=0.64	39yrs	124
Kerosene used in Nicaragua	r=0.59	38yrs	116
Total likes of Numberphile YouTube videos	r=0.75	12yrs	116
Motor vehicle thefts	r=0.52	38yrs	114
Popularity of the first name Justin	r=0.63	39yrs	113
Google searches for 'how to trap a spider'	r=0.69	16yrs	107
Kerosene used in Romania	r=0.59	38yrs	106
Popularity of the first name Vanessa	r=0.63	39yrs	103
Arson in Wisconsin	r=0.51	38yrs	103
Total comments on minutephysics YouTube videos	r=0.7	12yrs	99
Popularity of the 'harambe' meme	r=0.78	7yrs	98
Popularity of the first name Melisa	r=0.63	39yrs	93
Wind power generated in Venezuela	r=-0.97	10yrs	90
Total length of minutephysics YouTube videos	r=0.7	12yrs	89
Popularity of the 'willy wonka' meme	r=0.72	17yrs	88
Popularity of the first name Deandra	r=0.63	39yrs	83
Total views on Vihart's YouTube videos	r=0.84	14yrs	77
Popularity of the 'trollface' meme	r=0.71	17yrs	77
Kerosene used in Mali	r=-0.69	38yrs	76
Popularity of the first name Maryann	r=0.63	39yrs	73
Robberies in the US	r=0.47	38yrs	72
Popularity of the first name Rena	r=0.63	39yrs	63
How professional-sounding Steve Mould's YouTube video titles are	r=-0.92	14yrs	63
Fossil fuel use in Slovakia	r=0.65	29yrs	59
Popularity of the 'overly attached girlfriend' meme	r=0.65	17yrs	58
Popularity of the first name Andrew	r=0.62	39yrs	52
How geeky Tom Scott's YouTube video titles are	r=0.81	14yrs	52
Gasoline pumped in France	r=0.58	39yrs	46
Popularity of the 'bad luck brian' meme	r=0.64	17yrs	46
Popularity of the first name Lance	r=0.62	39yrs	42
Total length of Vihart's YouTube videos	r=0.61	14yrs	38
Kerosene used in Japan	r=0.58	39yrs	36
Popularity of the 'success kid' meme	r=0.63	17yrs	35
Popularity of the first name Arlene	r=0.62	39yrs	32
Hydopower energy generated in Puerto Rico	r=0.56	38yrs	24
Popularity of the first name Darin	r=0.62	39yrs	22
Kerosene used globally	r=0.58	38yrs	14
Popularity of the first name Dayna	r=0.62	39yrs	12
How nerdy MrBeast's YouTube video titles are	r=0.79	11yrs	12
Gasoline pumped in Albania	r=0.58	38yrs	4
Popularity of the first name Johnna	r=0.62	39yrs	2
Number of CGP Grey Videos published	r=0.69	12yrs	2
Kerosene used in Macau	r=0.58	38yrs	-6
Popularity of the first name Bryon	r=0.62	39yrs	-8
Gasoline pumped in Norway	r=0.57	39yrs	-16
Popularity of the first name Matthew	r=0.61	39yrs	-20
Gasoline pumped in Bulgaria	r=0.57	38yrs	-27
Popularity of the first name Joshua	r=0.61	39yrs	-30
Kerosene used in Egypt	r=0.57	38yrs	-37

Loading...!

<< Back to discover a correlation

^{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.)


Issue:
Additional details: Optional
Confirm you are a human: