Top variables that correlate with Air pollution in Augusta, Maine

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Data source: Environmental Protection Agency
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Air pollution in Augusta, Maine correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Dianna	r=0.91	43yrs	374
Popularity of the first name Leann	r=0.9	43yrs	372
Popularity of the first name Bryon	r=0.9	43yrs	372
Motor vehicle thefts in Maine	r=0.88	38yrs	364
Kerosene used in United States	r=0.88	43yrs	360
Physical album shipment volume in the United States	r=0.87	24yrs	340
The distance between Neptune and Mercury	r=0.86	44yrs	340
The distance between Neptune and the moon	r=0.86	44yrs	340
The distance between Neptune and the Sun	r=0.85	44yrs	339
The number of compensation and benefits managers in Maine	r=0.87	19yrs	336
The number of millwrights in Maine	r=0.86	20yrs	335
The number of blender tenders in Maine	r=0.86	20yrs	335
Popularity of the first name Marc	r=0.9	43yrs	312
US average milk-fat content of cottage cheese	r=0.85	22yrs	312
The distance between Neptune and Earth	r=0.85	44yrs	309
Popularity of the first name Chastity	r=0.9	43yrs	302
Popularity of the first name David	r=0.89	43yrs	291
Popularity of the first name John	r=0.89	43yrs	281
China's Rare Earth Element Export Volume	r=0.85	11yrs	272
Popularity of the first name Brian	r=0.89	43yrs	271
Popularity of the first name Andrea	r=0.89	43yrs	261
Average number of milk cows in the United States	r=0.72	43yrs	255
Violent crime rates	r=0.7	38yrs	252
Popularity of the first name Cynthia	r=0.89	43yrs	251
Remaining Forest Cover in the Brazilian Amazon	r=0.85	36yrs	250
Arson in United States	r=0.82	38yrs	250
Viewership count for Days of Our Lives	r=0.81	42yrs	249
Gasoline pumped in France	r=0.83	43yrs	247
The divorce rate in Maine	r=0.8	23yrs	246
Kerosene used globally	r=0.82	42yrs	244
Popularity of the first name Veronica	r=0.89	43yrs	241
NASA's budget as a percentage of the total US Federal Budget	r=0.72	44yrs	239
US birth rates of triplets or more	r=0.83	20yrs	233
Popularity of the first name Jerry	r=0.89	43yrs	231
US Employment Rate	r=0.77	33yrs	230
Milk consumption	r=0.85	32yrs	230
Popularity of the first name Jimmy	r=0.89	43yrs	221
Burglary rates in the US	r=0.81	38yrs	218
Gasoline pumped in Bulgaria	r=0.82	42yrs	214
Number of edits to the Wikipedia article for Thanksgiving	r=0.82	16yrs	214
GMO use in cotton	r=0.83	23yrs	212
Asthma prevalence in American children	r=0.8	17yrs	212
US household spending on clothin for women	r=0.85	23yrs	212
Popularity of the first name Micheal	r=0.89	43yrs	211
Asthma attacks in American children	r=0.73	23yrs	208
US household spending on clothing	r=0.83	23yrs	208
US household spending on clothing for men	r=0.83	23yrs	208
Burglaries in Maine	r=0.8	38yrs	206
Total number of automotive recalls	r=-0.81	43yrs	206
US household spending on books	r=0.81	23yrs	206
Kerosene used in Turkiye	r=0.81	43yrs	204
Automotive recalls issued by BMW of North America	r=-0.75	43yrs	204
AIG's stock price (AIG)	r=0.74	22yrs	204
Lloyds Banking Group's stock price (LYG)	r=0.74	22yrs	204
US household spending on fresh milk and cream	r=0.79	23yrs	202
Total value of all $1 bills printed	r=0.69	33yrs	202
Popularity of the first name Joe	r=0.89	43yrs	201
Automotive recalls issued by Nissan North America	r=-0.71	43yrs	200
Automotive recalls for issues with the Electrical System	r=-0.75	43yrs	199
Automotive recalls for issues with the Power Train	r=-0.74	43yrs	198
The number of switchboard operators in Maine	r=0.84	20yrs	197
Cottage cheese consumption	r=0.84	32yrs	196
Automotive recalls issued by Honda	r=-0.68	43yrs	196
Viewership count of American Idol Season Finale	r=0.78	21yrs	194
Kerosene used in Brazil	r=0.81	42yrs	193
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.83	43yrs	193
Motor vehicle thefts	r=0.77	38yrs	192
USA Population	r=-0.88	43yrs	192
Popularity of the first name Steve	r=0.89	43yrs	191
Ice cream consumption	r=0.84	32yrs	186
The number of postal service machine operators in Maine	r=0.83	20yrs	186
Kerosene used in Peru	r=0.81	42yrs	183
Popularity of the first name Cedric	r=0.89	43yrs	181
Robberies in the US	r=0.75	38yrs	179
The number of prepress technicians and workers in Maine	r=0.82	20yrs	174
Petroluem consumption in Romania	r=0.81	42yrs	173
Sherbet consumption	r=0.81	32yrs	172
The distance between Neptune and Venus	r=0.7	44yrs	172
Popularity of the first name Dale	r=0.89	43yrs	171
Kerosene used in Egypt	r=0.8	42yrs	162
Popularity of the first name Jarrod	r=0.89	43yrs	161
Arson in Maine	r=0.68	38yrs	158
Average milk produced per cow in the US	r=-0.89	43yrs	156
Kerosene used in El Salvador	r=0.8	42yrs	152
Popularity of the first name Jenifer	r=0.89	43yrs	151
Kerosene used in Madagascar	r=0.8	42yrs	142
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.84	22yrs	136
The number of jewelers in Maine	r=0.82	20yrs	134
Kerosene used in Thailand	r=0.8	42yrs	132
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.83	22yrs	124
Gasoline pumped in Austria	r=0.79	43yrs	121
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.83	22yrs	114
Petroluem consumption in Denmark	r=0.79	43yrs	111
US average milk-fat content of frozen dairy products	r=0.82	22yrs	103
Kerosene used in Norway	r=0.79	43yrs	101
Kerosene used in Argentina	r=0.79	42yrs	90
US milk fat used to produce fluid beverage milk	r=0.79	22yrs	82
Kerosene used in Uruguay	r=0.79	42yrs	80
Petroluem consumption in Germany	r=0.85	32yrs	69
Nuclear power generation in Germany	r=0.83	31yrs	58
Jet fuel used in American Samoa	r=0.78	42yrs	48

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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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