Top variables that correlate with Air pollution in Spokane, Washington

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Data source: Environmental Protection Agency
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Air pollution in Spokane, Washington correlates with...

Variable	Correlation	Years	Has img?
Popularity of the first name Betsy	r=0.86	43yrs	No
Burglaries in Washington	r=0.79	38yrs	No

Air pollution in Spokane, Washington also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Hong Kong	r=0.93	42yrs	396
Kerosene used in Turkiye	r=0.9	43yrs	392
Popularity of the first name Charles	r=0.93	43yrs	377
Popularity of the first name Jean	r=0.93	43yrs	377
Popularity of the first name Trisha	r=0.93	43yrs	377
Kerosene used in Venezuela	r=0.87	42yrs	357
Popularity of the first name Darlene	r=0.93	43yrs	347
Popularity of the first name Michelle	r=0.92	43yrs	336
The number of automotive body repairers in Washington	r=0.85	20yrs	334
Popularity of the first name Gary	r=0.92	43yrs	326
Kerosene used in Mexico	r=0.88	40yrs	326
Popularity of the first name Roger	r=0.92	43yrs	316
Kerosene used in Brazil	r=0.85	42yrs	314
Popularity of the first name Ronnie	r=0.92	43yrs	306
Popularity of the first name Harold	r=0.92	43yrs	296
Popularity of the first name Carol	r=0.92	43yrs	286
Popularity of the first name Michele	r=0.92	43yrs	276
Average number of milk cows in the United States	r=0.82	43yrs	270
Popularity of the first name Clinton	r=0.92	43yrs	266
Popularity of the first name Sheila	r=0.92	43yrs	256
Violent crime rates	r=0.7	38yrs	252
Burglary rates in the US	r=0.82	38yrs	250
Popularity of the first name Annette	r=0.92	43yrs	246
Arson in United States	r=0.79	38yrs	245
Popularity of the first name Dan	r=0.92	43yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
Viewership count for Days of Our Lives	r=0.7	42yrs	232
The distance between Neptune and the Sun	r=0.83	44yrs	231
The distance between Neptune and Earth	r=0.83	44yrs	231
The distance between Neptune and Mercury	r=0.83	44yrs	231
Google searches for 'panama canal'	r=0.84	20yrs	228
Google searches for 'Panama Canal'	r=0.84	20yrs	228
Google searches for 'black holes'	r=0.84	20yrs	228
The number of data entry keyers in Washington	r=0.84	20yrs	227
Popularity of the first name Lester	r=0.92	43yrs	226
Highest Nielsen rating for a TV show each year	r=0.68	41yrs	224
NASA's budget as a percentage of the total US Federal Budget	r=0.62	44yrs	224
The number of postal service machine operators in Washington	r=0.82	20yrs	224
Cottage cheese consumption	r=0.8	32yrs	220
Popularity of the first name Kristie	r=0.92	43yrs	216
Average milk produced per cow in the US	r=-0.84	43yrs	211
AIG's stock price (AIG)	r=0.78	22yrs	210
Citigroup's stock price (C)	r=0.77	22yrs	208
GMO use in cotton	r=0.8	23yrs	207
Popularity of the first name Jeff	r=0.92	43yrs	206
US household spending on postage and stationery	r=0.81	23yrs	206
US household spending on floor coverings	r=0.81	23yrs	206
Robberies in the US	r=0.78	38yrs	204
The distance between Neptune and the moon	r=0.83	44yrs	201
US birth rates of triplets or more	r=0.81	20yrs	200
Total number of automotive recalls	r=-0.74	43yrs	200
Kerosene used in Cuba	r=0.85	42yrs	199
Google searches for 'learn spanish'	r=0.83	20yrs	197
Popularity of the first name Marla	r=0.92	43yrs	196
The number of typists in Washington	r=0.82	20yrs	194
Automotive recalls issued by Honda	r=-0.66	43yrs	194
Google searches for 'report UFO sighting'	r=0.77	20yrs	194
Automotive recalls for issues with the Power Train	r=-0.69	43yrs	193
Automotive recalls issued by Chrysler	r=-0.64	43yrs	192
Automotive recalls issued by BMW of North America	r=-0.64	43yrs	192
Robberies in Washington	r=0.76	38yrs	190
U.S. intercountry adoptions	r=0.77	23yrs	190
Automotive recalls for issues with Suspension	r=-0.66	43yrs	190
Automotive recalls for issues with the Electrical System	r=-0.65	43yrs	189
Automotive recalls for issues with the Seats	r=-0.65	43yrs	189
Petroluem consumption in Bulgaria	r=0.84	42yrs	188
USA Population	r=-0.82	43yrs	186
Popularity of the first name James	r=0.91	43yrs	184
US Annual Tax Revenue	r=-0.81	42yrs	184
Motor vehicle thefts	r=0.74	38yrs	178
Canned whole evaporated and condensed milk consumption	r=0.72	32yrs	178
Kerosene used in Norway	r=0.83	43yrs	177
Google searches for 'cia hotline'	r=0.76	20yrs	170
Evaporated and condensed milk consumption	r=0.71	32yrs	167
The distance between Neptune and Venus	r=0.67	44yrs	167
Fossil fuel use in Sierra Leone	r=0.81	42yrs	166
Arson in Washington	r=0.72	38yrs	164
Kerosene used in Belize	r=0.83	42yrs	156
The number of boiler operators in Washington	r=0.81	20yrs	152
Gasoline pumped in Bulgaria	r=0.83	42yrs	146
Google searches for 'E.T. phone home'	r=0.81	20yrs	144
The number of prepress technicians and workers in Washington	r=0.8	20yrs	141
Petroluem consumption in Romania	r=0.83	42yrs	136
US production of cottage cheese	r=0.75	22yrs	136
Google searches for 'matt parker'	r=0.8	20yrs	132
The number of cashiers in Washington	r=0.79	20yrs	130
Kerosene used in Portugal	r=0.81	43yrs	124
Google searches for 'oprah winfrey'	r=0.79	20yrs	121
The number of couriers and messengers in Washington	r=0.78	20yrs	118
Kerosene used in Uruguay	r=0.82	42yrs	114
Google searches for 'snoop dog'	r=0.77	20yrs	108
The number of dental laboratory technicians in Washington	r=0.78	20yrs	108
Gasoline pumped in Cuba	r=0.81	42yrs	103
The number of rehabilitation counselors in Washington	r=0.77	20yrs	96
Google searches for 'attacked by a squirrel'	r=0.73	20yrs	95
Kerosene used in Ecuador	r=0.81	42yrs	93
Kerosene used in Romania	r=0.81	42yrs	83
Gasoline pumped in Austria	r=0.8	43yrs	72
Gasoline pumped in Somalia	r=0.8	42yrs	62
Kerosene used in Thailand	r=0.8	42yrs	52

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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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