Top variables that correlate with Air pollution in New Haven, Connecticut

← Discover a correlation

A linear line chart

Data source: Environmental Protection Agency
Report an error

Air pollution in New Haven, Connecticut correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Jenifer	r=0.86	43yrs	336
How geeky Casually Explained YouTube video titles are	r=0.94	9yrs	302
How clickbait-y Casually Explained YouTube video titles are	r=0.91	9yrs	298
How trendy Casually Explained YouTube video titles are	r=0.9	9yrs	266
Average number of milk cows in the United States	r=0.66	43yrs	246
Kerosene used in United States	r=0.81	43yrs	244
Kerosene used in Norway	r=0.79	43yrs	241
Hydopower energy generated in Denmark	r=0.75	42yrs	237
How good Casually Explained YouTube video titles are	r=0.9	9yrs	236
Motor vehicle thefts	r=0.71	38yrs	233
Remaining Forest Cover in the Brazilian Amazon	r=0.73	36yrs	232
Viewership count for Days of Our Lives	r=0.69	42yrs	231
Arson in United States	r=0.69	38yrs	230
Popularity of the first name Jenny	r=0.84	43yrs	228
NASA's budget as a percentage of the total US Federal Budget	r=0.64	44yrs	227
Popularity of the first name Erin	r=0.83	43yrs	227
Burglary rates in the US	r=0.66	38yrs	226
The distance between Neptune and the Sun	r=0.79	44yrs	225
The distance between Neptune and Earth	r=0.79	44yrs	225
The distance between Neptune and Mercury	r=0.79	44yrs	225
Physical album shipment volume in the United States	r=0.79	24yrs	224
Ice cream consumption	r=0.79	32yrs	219
Kerosene used in Peru	r=0.77	42yrs	207
Cottage cheese consumption	r=0.71	32yrs	207
AIG's stock price (AIG)	r=0.74	22yrs	204
US household spending on transportation	r=0.8	23yrs	204
Total number of automotive recalls	r=-0.73	43yrs	198
Popularity of the first name Karen	r=0.83	43yrs	197
Kerosene used globally	r=0.76	42yrs	196
How fun Casually Explained YouTube video titles are	r=0.87	9yrs	196
The distance between Neptune and the moon	r=0.79	44yrs	195
Automotive recalls issued by BMW of North America	r=-0.63	43yrs	192
Automotive recalls for issues with the Electrical System	r=-0.66	43yrs	190
Automotive recalls for issues with the Power Train	r=-0.66	43yrs	190
Popularity of the first name Kathy	r=0.83	43yrs	187
How provocative Casually Explained YouTube video titles are	r=0.87	9yrs	186
Kerosene used in Turkiye	r=0.75	43yrs	185
US Employment Rate	r=0.66	33yrs	183
USA Population	r=-0.78	43yrs	182
Total annual sales of Ford Motors in the United States	r=0.74	23yrs	182
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.72	43yrs	182
Budget for largest movie production	r=-0.74	43yrs	181
Violent crime rates	r=0.62	38yrs	180
Total number of live births in Australia	r=-0.76	43yrs	180
Patents granted in the US	r=-0.71	41yrs	180
Lloyds Banking Group's stock price (LYG)	r=0.71	22yrs	180
Patents granted in the US	r=-0.71	41yrs	178
Citigroup's stock price (C)	r=0.7	22yrs	178
Popularity of the first name Darin	r=0.83	43yrs	177
US Annual Tax Revenue	r=-0.74	42yrs	177
Average milk produced per cow in the US	r=-0.79	43yrs	176
Global count of operating nuclear power plants	r=-0.71	43yrs	175
How nerdy Casually Explained YouTube video titles are	r=0.86	9yrs	175
Kerosene used in Brazil	r=0.75	42yrs	174
GMO use in cotton	r=0.76	23yrs	171
Popularity of the first name Dora	r=0.83	43yrs	167
The number of movies Peter OToole appeared in	r=0.57	43yrs	167
Gasoline pumped in France	r=0.74	43yrs	164
Popularity of the first name Deana	r=0.83	43yrs	157
Fossil fuel use in Sierra Leone	r=0.72	42yrs	152
Robberies in the US	r=0.64	38yrs	152
The average number of likes on Numberphile YouTube videos	r=0.81	13yrs	152
Popularity of the first name Consuelo	r=0.83	43yrs	147
US milk fat used to produce frozen dairy products	r=0.76	22yrs	147
Average views of OverSimplified YouTube videos	r=0.87	7yrs	144
Petroluem consumption in Denmark	r=0.73	43yrs	142
Robberies in Connecticut	r=0.64	38yrs	142
Popularity of the first name Brian	r=0.82	43yrs	136
Kerosene used in El Salvador	r=0.74	42yrs	132
Robberies in Connecticut	r=0.64	38yrs	132
Popularity of the first name Leslie	r=0.82	43yrs	126
The distance between Neptune and Venus	r=0.6	44yrs	126
Milk consumption	r=0.68	32yrs	124
Kerosene used in Hong Kong	r=0.73	42yrs	121
Burglaries in Connecticut	r=0.63	38yrs	121
Number of Lawyers in the United States	r=-0.68	34yrs	120
Popularity of the first name Jaime	r=0.82	43yrs	116
Intel Corporation's annual revenue	r=-0.72	36yrs	114
Gasoline pumped in Guam	r=0.72	42yrs	110
Arson in Connecticut	r=0.61	38yrs	108
Super Bowl TV viewership	r=-0.7	33yrs	108
Sherbet consumption	r=0.65	32yrs	108
Popularity of the first name Jimmy	r=0.82	43yrs	106
Kerosene used in Portugal	r=0.72	43yrs	100
Popularity of the first name Carla	r=0.82	43yrs	96
Average number of comments on Numberphile YouTube videos	r=0.79	13yrs	94
Kerosene used in Romania	r=0.72	42yrs	90
Popularity of the first name Melvin	r=0.82	43yrs	86
Total likes of Numberphile YouTube videos	r=0.79	13yrs	84
Kerosene used in Thailand	r=0.72	42yrs	80
Popularity of the first name Jermaine	r=0.82	43yrs	76
Kerosene used in Australia	r=0.71	43yrs	69
Popularity of the first name Andrea	r=0.81	43yrs	64
Total comments on Numberphile YouTube videos	r=0.78	13yrs	62
Gasoline pumped in Austria	r=0.7	43yrs	58
Popularity of the first name Sandra	r=0.81	43yrs	54
Gasoline pumped in Bulgaria	r=0.71	42yrs	48
Total comments on Vihart's YouTube videos	r=0.74	15yrs	48
Popularity of the first name Jerry	r=0.81	43yrs	44
Kerosene used in Greece	r=0.71	42yrs	38
Popularity of the first name Denise	r=0.81	43yrs	34

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: