Top variables that correlate with Air pollution in Dayton

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Data source: Environmental Protection Agency
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Air pollution in Dayton correlates with...

Variable	Correlation	Years	Has img?
The divorce rate in Ohio	r=0.86	23yrs	Yes!

Air pollution in Dayton also correlates with...

Variable	Correlation	Years	Sys. Score
Associates degrees awarded in Business and management	r=0.95	11yrs	351
Gasoline pumped in Slovenia	r=0.88	31yrs	348
Fossil fuel use in Slovakia	r=0.85	29yrs	344
Physical album shipment volume in the United States	r=0.87	24yrs	340
The number of typists in Ohio	r=0.85	20yrs	334
US household spending on prescription drugs	r=0.9	23yrs	324
GMO use in cotton	r=0.87	23yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	316
US average milk-fat content of frozen dairy products	r=0.87	22yrs	316
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.85	22yrs	312
Associates degrees awarded in Business management	r=0.9	11yrs	294
The marriage rate in Ohio	r=0.81	23yrs	246
Kerosene used in Peru	r=0.81	42yrs	243
Viewership count for Days of Our Lives	r=0.71	42yrs	234
US birth rates of triplets or more	r=0.83	20yrs	233
NASA's budget as a percentage of the total US Federal Budget	r=0.68	44yrs	233
Motor vehicle thefts in Ohio	r=0.71	38yrs	233
Remaining Forest Cover in the Brazilian Amazon	r=0.73	36yrs	232
The number of CEOs in Ohio	r=0.84	20yrs	228
The number of postmasters in Ohio	r=0.85	20yrs	228
Arson in Ohio	r=0.68	38yrs	228
Arson in Ohio	r=0.68	38yrs	228
Popularity of the first name Leslie	r=0.83	43yrs	227
Popularity of the first name Lesley	r=0.83	43yrs	227
Popularity of the first name Aja	r=0.83	43yrs	227
Cigarette Smoking Rate for US adults	r=0.82	21yrs	225
The distance between Neptune and the Sun	r=0.78	44yrs	224
U.S. intercountry adoptions	r=0.79	23yrs	222
The distance between Neptune and Earth	r=0.77	44yrs	222
The distance between Neptune and the moon	r=0.77	44yrs	222
US Employment Rate	r=0.71	33yrs	220
Emmy Awards Ceremony viewership	r=0.68	36yrs	219
Asthma attacks in American children	r=0.77	23yrs	214
Kerosene used globally	r=0.8	42yrs	212
US household spending on clothin for women	r=0.84	23yrs	210
US household spending on books	r=0.84	23yrs	210
US household spending on processed fruits	r=0.82	23yrs	207
US household spending on clothing	r=0.82	23yrs	207
Customer satisfaction with Whirlpool	r=0.7	28yrs	206
US household spending on clothing for men	r=0.81	23yrs	206
Total number of automotive recalls	r=-0.77	43yrs	202
Automotive recalls issued by BMW of North America	r=-0.73	43yrs	202
US household spending on tobacco products and smoking supplies	r=0.79	23yrs	202
Kerosene used in United States	r=0.79	43yrs	201
Automotive recalls for issues with the Electrical System	r=-0.74	43yrs	198
The number of computer programmers in Ohio	r=0.83	20yrs	197
Arson in United States	r=0.67	38yrs	197
Popularity of the first name Arlene	r=0.82	43yrs	196
Ice cream consumption	r=0.83	32yrs	195
Automotive recalls issued by Mercedes-Benz USA	r=-0.65	43yrs	194
Automotive recalls issued by Porsche	r=-0.65	43yrs	194
Automotive recalls issued by Hyundai Motor America	r=-0.7	37yrs	192
Asthma prevalence in American children	r=0.79	17yrs	191
Petroluem consumption in Denmark	r=0.78	43yrs	190
The distance between Neptune and Mercury	r=0.74	44yrs	188
The number of switchboard operators in Ohio	r=0.84	20yrs	187
Motor vehicle thefts	r=0.67	38yrs	187
Popularity of the first name Brant	r=0.82	43yrs	186
The number of payroll and timekeeping clerks in Ohio	r=0.84	20yrs	177
Burglaries in Ohio	r=0.66	38yrs	176
Petroluem consumption in Italy	r=0.75	43yrs	175
Popularity of the first name Tommy	r=0.81	43yrs	174
Milk consumption	r=0.74	32yrs	173
Jet fuel used in American Samoa	r=0.75	42yrs	164
Popularity of the first name Consuelo	r=0.81	43yrs	164
Burglary rates in the US	r=0.65	38yrs	164
Sherbet consumption	r=0.73	32yrs	160
Gasoline pumped in Norway	r=0.73	43yrs	152
Popularity of the first name Bridget	r=0.8	43yrs	152
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.85	22yrs	148
Kerosene used in Norway	r=0.73	43yrs	142
Popularity of the first name Elissa	r=0.8	43yrs	142
Average milk produced per cow in the US	r=-0.78	43yrs	135
Violent crime rates	r=0.59	38yrs	135
Popularity of the first name Johnna	r=0.8	43yrs	132
The number of automotive body repairers in Ohio	r=0.81	20yrs	132
Hydopower energy generated in Denmark	r=0.71	42yrs	131
US average milk-fat content of cottage cheese	r=0.81	22yrs	122
Fossil fuel use in Hungary	r=0.71	42yrs	121
Popularity of the first name Tia	r=0.79	43yrs	121
The number of file clerks in Ohio	r=0.8	20yrs	121
Popularity of the first name Jenifer	r=0.79	43yrs	111
The number of postal service machine operators in Ohio	r=0.8	20yrs	111
Kerosene used in El Salvador	r=0.72	42yrs	110
Liquefied petroleum gas used in Kosovo	r=0.86	14yrs	108
US milk fat used to produce fluid beverage milk	r=0.79	22yrs	102
Popularity of the first name Suzanna	r=0.79	43yrs	101
Gasoline pumped in France	r=0.72	43yrs	100
Kerosene used in Madagascar	r=0.72	42yrs	90
Popularity of the first name Joseph	r=0.78	43yrs	90
Popularity of the first name Maria	r=0.78	43yrs	80
Nuclear power generation in Germany	r=0.77	31yrs	79
Popularity of the first name Diana	r=0.78	43yrs	70
Gasoline pumped in Austria	r=0.71	43yrs	69
Popularity of the first name Karen	r=0.78	43yrs	60
Petroluem consumption in Germany	r=0.78	32yrs	58
Popularity of the first name Cindy	r=0.78	43yrs	50
Kerosene used in Greece	r=0.71	42yrs	48
Popularity of the first name Cedric	r=0.78	43yrs	40
Popularity of the first name Leeann	r=0.78	43yrs	30

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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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