Top variables that correlate with Air pollution in San Francisco, California

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Data source: Environmental Protection Agency
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Air pollution in San Francisco, California correlates with...

Variable	Correlation	Years	Has img?
Kerosene used in United States	r=0.83	43yrs	Yes!

Air pollution in San Francisco, California also correlates with...

Variable	Correlation	Years	Sys. Score
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	337
Votes for the Republican Presidential candidate in California	r=0.9	11yrs	285
Average number of milk cows in the United States	r=0.63	43yrs	242
Kerosene used in Brazil	r=0.8	42yrs	242
Kerosene used in El Salvador	r=0.79	42yrs	240
Physical album shipment volume in the United States	r=0.83	24yrs	230
Viewership count for Days of Our Lives	r=0.67	42yrs	228
Popularity of the first name Charity	r=0.83	43yrs	227
Popularity of the first name Lance	r=0.8	43yrs	222
Popularity of the first name Jenifer	r=0.8	43yrs	222
The distance between Neptune and the Sun	r=0.74	44yrs	218
The distance between Neptune and Earth	r=0.74	44yrs	218
The distance between Neptune and the moon	r=0.74	44yrs	218
Kerosene used in Peru	r=0.78	42yrs	208
US household spending on books	r=0.81	23yrs	206
AIG's stock price (AIG)	r=0.74	22yrs	204
Average milk produced per cow in the US	r=-0.75	43yrs	202
US household spending on beef	r=0.79	23yrs	202
Kerosene used in Romania	r=0.77	42yrs	197
Disney movies released	r=0.76	23yrs	196
Popularity of the first name Janna	r=0.8	43yrs	192
The number of tapers in California	r=0.81	20yrs	192
The wind speed in Los Angeles	r=0.78	22yrs	192
Arson in California	r=0.63	38yrs	191
Total number of automotive recalls	r=-0.64	43yrs	190
The number of postal service clerks in California	r=0.79	20yrs	190
Arson in United States	r=0.62	38yrs	190
Total annual sales of Ford Motors in the United States	r=0.77	23yrs	186
The number of postal service mail carriers in California	r=0.77	20yrs	186
Burglary rates in the US	r=0.6	38yrs	186
Petroluem consumption in Bulgaria	r=0.75	42yrs	184
The distance between Neptune and Mercury	r=0.72	44yrs	184
Highest Nielsen rating for a TV show each year	r=0.61	41yrs	184
Popularity of the first name Maryann	r=0.8	43yrs	182
Total number of live births in Australia	r=-0.78	43yrs	182
Budget for largest movie production	r=-0.73	43yrs	180
Citigroup's stock price (C)	r=0.71	22yrs	180
Lloyds Banking Group's stock price (LYG)	r=0.71	22yrs	180
USA Population	r=-0.73	43yrs	177
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.67	43yrs	177
Kerosene used in Greece	r=0.75	42yrs	174
Yearly Total Gross Income of US Farms	r=-0.86	23yrs	172
Patents granted in the US	r=-0.63	41yrs	172
Popularity of the first name Leslie	r=0.79	43yrs	171
US Annual Tax Revenue	r=-0.68	42yrs	171
GMO use in cotton	r=0.76	23yrs	171
Annual US household spending on books	r=0.77	23yrs	170
Hollister retail store count worldwide	r=-0.84	23yrs	168
US household spending on small appliances	r=0.76	23yrs	168
US Hospital Occupancy Rate	r=0.78	18yrs	166
Instructor salaries in the US	r=0.73	13yrs	166
US household spending on floor coverings	r=0.74	23yrs	165
Average number of comments on LEMMiNO YouTube videos	r=0.73	12yrs	164
Gasoline pumped in Bulgaria	r=0.74	42yrs	162
Remaining Forest Cover in the Brazilian Amazon	r=0.59	36yrs	162
US household spending on processed fruits	r=0.72	23yrs	162
US household spending on vehicle purchaes	r=0.72	23yrs	162
Popularity of the first name Darin	r=0.79	43yrs	161
Career regular season goals scored by Sidney Crosby	r=0.72	21yrs	160
US milk fat used to produce cottage cheese	r=0.76	22yrs	157
Kerosene used globally	r=0.73	42yrs	151
Popularity of the first name Marc	r=0.78	43yrs	150
Orange's stock price (ORAN)	r=0.7	22yrs	148
US milk fat used to produce frozen dairy products	r=0.74	22yrs	144
Jet fuel used in American Samoa	r=0.73	42yrs	141
Popularity of the first name Meredith	r=0.78	43yrs	140
The number of office clerks in California	r=0.76	20yrs	135
Kerosene used in Bolivia	r=0.72	42yrs	130
Popularity of the first name Annette	r=0.78	43yrs	130
The distance between Neptune and Venus	r=0.58	44yrs	124
The number of receptionists in California	r=0.74	20yrs	124
Kerosene used in Norway	r=0.72	43yrs	120
Popularity of the first name Nick	r=0.78	43yrs	120
Ice cream consumption	r=0.66	32yrs	120
The number of sheet metal workers in California	r=0.75	20yrs	114
Popularity of the first name Dora	r=0.78	43yrs	110
Petroluem consumption in Denmark	r=0.71	43yrs	109
US production of yogurt, nonfrozen	r=-0.84	22yrs	107
The number of cabinetmakers in California	r=0.75	20yrs	104
Popularity of the first name Jeff	r=0.78	43yrs	100
Hydopower energy generated in Denmark	r=0.69	42yrs	98
US average dairy skim-solid content of cheese (other than cottage cheese)	r=0.78	22yrs	97
The number of furniture finishers in California	r=0.75	20yrs	94
Popularity of the first name Rena	r=0.78	43yrs	90
Gasoline pumped in France	r=0.7	43yrs	88
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.77	22yrs	86
Kerosene used in Turkiye	r=0.7	43yrs	78
Popularity of the first name Brian	r=0.77	43yrs	78
US milk fat used to produce whey products (net)	r=-0.82	22yrs	75
Popularity of the first name Jenny	r=0.77	43yrs	68
Kerosene used in China	r=0.7	42yrs	66
US milk fat used to produce yogurt	r=-0.81	22yrs	64
Popularity of the first name Carla	r=0.77	43yrs	58
Kerosene used in Mexico	r=0.71	40yrs	56
US average milk-fat content of frozen dairy products	r=0.76	22yrs	54
Popularity of the first name Antoine	r=0.77	43yrs	48
Gasoline pumped in Somalia	r=0.7	42yrs	46
Popularity of the first name Melisa	r=0.77	43yrs	38
Gasoline pumped in Albania	r=0.69	42yrs	35
Popularity of the first name Leann	r=0.77	43yrs	28

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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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