Top variables that correlate with Air pollution in Oxford, North Carolina

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Data source: Environmental Protection Agency
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Air pollution in Oxford, North Carolina correlates with...

Variable	Correlation	Years	Sys. Score
Barclays' stock price (BCS)	r=0.86	22yrs	357
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.86	22yrs	357
Petroluem consumption in Italy	r=0.85	43yrs	355
US average milk-fat content of cottage cheese	r=0.93	22yrs	354
Nuclear power generation in Germany	r=0.87	31yrs	349
U.S. intercountry adoptions	r=0.9	23yrs	344
Gasoline pumped in Latvia	r=0.85	31yrs	343
The number of postmasters in North Carolina	r=0.9	20yrs	341
The number of payroll and timekeeping clerks in North Carolina	r=0.89	20yrs	340
US production of cottage cheese	r=0.86	22yrs	337
Cigarette Smoking Rate for US adults	r=0.86	21yrs	336
Sherbet consumption	r=0.87	32yrs	336
The number of painting, coating, and decorating workers in North Carolina	r=0.85	20yrs	334
GMO use in cotton	r=0.86	23yrs	321
US household spending on mortgage interest and charges	r=0.86	23yrs	318
US household spending on clothin for women	r=0.86	23yrs	318
US dairy skim solids used to produce cottage cheese	r=0.86	22yrs	306
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.86	22yrs	274
The number of executive administrative assistants in North Carolina	r=0.88	13yrs	271
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.85	22yrs	262
HSBC Holdings' stock price (HSBC)	r=0.85	22yrs	250
Burglaries in North Carolina	r=0.82	38yrs	250
The divorce rate in North Carolina	r=0.82	23yrs	248
Violent crime rates	r=0.67	38yrs	247
Arson in United States	r=0.77	38yrs	242
NASA's budget as a percentage of the total US Federal Budget	r=0.71	44yrs	238
US birth rates of triplets or more	r=0.84	20yrs	234
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
Viewership count of American Idol Season Finale	r=0.83	21yrs	231
Viewership count for Days of Our Lives	r=0.68	42yrs	230
US Employment Rate	r=0.77	33yrs	230
Google searches for 'oprah winfrey'	r=0.85	20yrs	230
Popularity of the first name Rolando	r=0.85	43yrs	230
Google searches for 'snoop dog'	r=0.84	20yrs	228
Popularity of the first name Mario	r=0.84	43yrs	228
Popularity of the first name Marlon	r=0.84	43yrs	228
Google searches for 'shook'	r=0.82	20yrs	226
Physical album shipment volume in the United States	r=0.79	24yrs	224
Lloyds Banking Group's stock price (LYG)	r=0.85	22yrs	220
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
Number of edits to the Wikipedia article for Thanksgiving	r=0.84	16yrs	218
Gasoline pumped in Norway	r=0.83	43yrs	217
Total value of all $1 bills printed	r=0.79	33yrs	217
Asthma attacks in American children	r=0.78	23yrs	216
Burglary rates in the US	r=0.77	38yrs	212
AIG's stock price (AIG)	r=0.83	22yrs	208
Petroluem consumption in Switzerland	r=0.83	43yrs	207
Arson in North Carolina	r=0.76	38yrs	200
Popularity of the first name Orlando	r=0.83	43yrs	197
Citigroup's stock price (C)	r=0.81	22yrs	194
Gasoline pumped in Sweden	r=0.8	43yrs	192
The number of typists in North Carolina	r=0.85	20yrs	188
Motor vehicle thefts	r=0.73	38yrs	186
Popularity of the first name Anthony	r=0.82	43yrs	186
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)	r=0.81	22yrs	184
Gasoline pumped in United Kingdom	r=0.79	43yrs	181
The number of cooks, short order in North Carolina	r=0.84	20yrs	177
Robberies in the US	r=0.73	38yrs	176
Popularity of the first name Kenny	r=0.82	43yrs	176
Orange's stock price (ORAN)	r=0.8	22yrs	173
Kerosene used in Japan	r=0.78	43yrs	170
US production of fluid beverage milk	r=0.83	22yrs	168
The number of library assistants in North Carolina	r=0.84	20yrs	167
Popularity of the first name Bryan	r=0.81	43yrs	164
Kerosene used in Montserrat	r=0.82	35yrs	158
Motor vehicle thefts in North Carolina	r=0.68	38yrs	158
The number of drywall and ceiling tile installers in North Carolina	r=0.84	20yrs	157
Milk consumption	r=0.82	32yrs	155
Popularity of the first name Antonio	r=0.8	43yrs	152
Kerosene used globally	r=0.76	42yrs	146
The number of brickmasons in North Carolina	r=0.83	20yrs	146
Ice cream consumption	r=0.83	32yrs	145
Popularity of the first name Roberto	r=0.8	43yrs	142
Petroluem consumption in Denmark	r=0.76	43yrs	136
The number of professional painters in North Carolina	r=0.83	20yrs	136
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.81	22yrs	133
Popularity of the first name Ruben	r=0.8	43yrs	132
The number of cutters and trimmers, hand in North Carolina	r=0.83	20yrs	126
Gasoline pumped in Austria	r=0.75	43yrs	125
Popularity of the first name Daron	r=0.8	43yrs	122
Gasoline pumped in Slovenia	r=0.83	31yrs	115
The number of switchboard operators in North Carolina	r=0.82	20yrs	114
Popularity of the first name Raul	r=0.79	43yrs	111
Petroluem consumption in Antarctica	r=0.75	42yrs	104
The number of data entry keyers in North Carolina	r=0.82	20yrs	104
Popularity of the first name Ramon	r=0.79	43yrs	101
Kerosene used in Macau	r=0.75	42yrs	94
Popularity of the first name Cindy	r=0.78	43yrs	90
Kerosene used in Central African Republic	r=0.79	35yrs	83
Popularity of the first name Alissa	r=0.78	43yrs	80
Fossil fuel use in Sweden	r=0.72	42yrs	72
Popularity of the first name Elisabeth	r=0.78	43yrs	70
Fossil fuel use in Denmark	r=0.71	42yrs	61
Popularity of the first name Kelvin	r=0.78	43yrs	60
Petroluem consumption in Germany	r=0.79	32yrs	50
Popularity of the first name Rodolfo	r=0.78	43yrs	50
Popularity of the first name Alfonso	r=0.78	43yrs	40
Petroluem consumption in France	r=0.71	43yrs	39
Popularity of the first name Susana	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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