Top variables that correlate with Air pollution in Baltimore, Maryland

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Data source: Environmental Protection Agency
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Air pollution in Baltimore, Maryland correlates with...

Variable	Correlation	Years	Has img?
Arson in Maryland	r=0.86	38yrs	No

Air pollution in Baltimore, Maryland also correlates with...

Variable	Correlation	Years	Sys. Score
Viewership count for Days of Our Lives	r=0.87	42yrs	363
Arson in United States	r=0.86	38yrs	360
Burglaries in Maryland	r=0.86	38yrs	360
Kerosene used in Peru	r=0.88	42yrs	358
Remaining Forest Cover in the Brazilian Amazon	r=0.86	36yrs	357
Gasoline pumped in France	r=0.86	43yrs	356
The distance between Neptune and the Sun	r=0.89	44yrs	345
The distance between Neptune and Earth	r=0.89	44yrs	345
The distance between Neptune and the moon	r=0.89	44yrs	345
Popularity of the first name Chasity	r=0.89	43yrs	341
Popularity of the first name Chastity	r=0.89	43yrs	341
Popularity of the first name Johnna	r=0.89	43yrs	341
Jet fuel used in Saint Vincent/Grenadines	r=0.86	24yrs	338
Google searches for 'inception'	r=0.89	15yrs	336
The distance between Neptune and Mercury	r=0.88	44yrs	314
Popularity of the first name Sarah	r=0.88	43yrs	310
Popularity of the first name Mary	r=0.88	43yrs	300
Popularity of the first name Veronica	r=0.88	43yrs	290
The number of career/technical education teachers, secondary school in Maryland	r=0.87	13yrs	280
Popularity of the first name Marc	r=0.88	43yrs	280
Popularity of the first name Leeann	r=0.88	43yrs	270
Popularity of the first name Consuelo	r=0.88	43yrs	260
Associates degrees awarded in Business and management	r=0.86	11yrs	258
Popularity of the first name Joseph	r=0.87	43yrs	248
NASA's budget as a percentage of the total US Federal Budget	r=0.78	44yrs	248
Average number of milk cows in the United States	r=0.66	43yrs	246
Orange's stock price (ORAN)	r=0.8	22yrs	243
Popularity of the first name John	r=0.87	43yrs	238
Violent crime rates	r=0.78	38yrs	234
The number of vending machine repairers in Maryland	r=0.85	20yrs	230
Popularity of the first name Thomas	r=0.87	43yrs	228
Milk consumption	r=0.82	32yrs	225
Physical album shipment volume in the United States	r=0.79	24yrs	224
Ice cream consumption	r=0.81	32yrs	222
Kerosene used in Thailand	r=0.85	42yrs	219
Popularity of the first name Sara	r=0.87	43yrs	218
Total number of automotive recalls	r=-0.86	43yrs	212
Burglary rates in the US	r=0.83	38yrs	211
Kerosene used in United States	r=0.84	43yrs	208
Popularity of the first name Cynthia	r=0.87	43yrs	208
Customer satisfaction with Frontier Communications	r=0.71	28yrs	207
GMO use in cotton	r=0.79	23yrs	206
Automotive recalls issued by BMW of North America	r=-0.77	43yrs	206
Automotive recalls issued by Honda	r=-0.73	43yrs	202
Customer satisfaction with Verizon	r=0.68	28yrs	202
Automotive recalls for issues with the Electrical System	r=-0.77	43yrs	201
US household spending on prescription drugs	r=0.78	23yrs	201
Automotive recalls issued by Nissan North America	r=-0.69	43yrs	198
Popularity of the first name Raymond	r=0.87	43yrs	198
Gasoline pumped in Austria	r=0.83	43yrs	197
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.87	43yrs	197
Automotive recalls for issues with the Power Train	r=-0.73	43yrs	197
Automotive recalls for issues with Exterior Lighting	r=-0.72	43yrs	196
xkcd comics published about romance	r=0.81	17yrs	196
Motor vehicle thefts	r=0.79	38yrs	195
Carjackings in the US	r=0.72	27yrs	194
USA Population	r=-0.89	43yrs	193
Patents granted in the US	r=-0.83	41yrs	192
Automotive recalls issued by Chrysler	r=-0.64	43yrs	192
Automotive recalls issued by Hyundai Motor America	r=-0.7	37yrs	192
The number of office clerks in Maryland	r=0.81	20yrs	192
Customer satisfaction with Apple	r=-0.81	28yrs	192
Asthma prevalence in American children	r=0.78	17yrs	190
US Annual Tax Revenue	r=-0.86	42yrs	189
Automotive recalls for issues with Suspension	r=-0.65	43yrs	189
Budget for largest movie production	r=-0.81	43yrs	188
Patents granted in the US	r=-0.82	41yrs	188
Customer satisfaction with Dillard's	r=-0.78	27yrs	188
Popularity of the first name Nancy	r=0.87	43yrs	188
Petroluem consumption in Denmark	r=0.83	43yrs	187
Sherbet consumption	r=0.77	32yrs	186
Highest Nielsen rating for a TV show each year	r=0.63	41yrs	186
UFO sightings in Maryland	r=-0.75	42yrs	186
Robberies in the US	r=0.79	38yrs	185
The distance between Neptune and Venus	r=0.75	44yrs	179
Popularity of the first name Bridget	r=0.87	43yrs	178
Hydopower energy generated in Denmark	r=0.81	42yrs	176
Average milk produced per cow in the US	r=-0.88	43yrs	175
Robberies in Maryland	r=0.74	38yrs	168
Popularity of the first name Jimmy	r=0.87	43yrs	168
Kerosene used globally	r=0.83	42yrs	166
Frozen yogurt consumption	r=0.76	32yrs	164
The number of paving, surfacing, and tamping equipment operators in Maryland	r=0.81	20yrs	162
Popularity of the first name Micheal	r=0.87	43yrs	158
Motor vehicle thefts in Maryland	r=0.73	38yrs	156
Kerosene used in Argentina	r=0.82	42yrs	154
Cottage cheese consumption	r=0.75	32yrs	153
The number of photographers in Maryland	r=0.8	20yrs	151
Popularity of the first name Joe	r=0.87	43yrs	148
Kerosene used in Norway	r=0.81	43yrs	144
The number of postmasters in Maryland	r=0.78	20yrs	138
Kerosene used in Egypt	r=0.81	42yrs	133
Kerosene used in Madagascar	r=0.81	42yrs	123
Kerosene used in Brazil	r=0.8	42yrs	112
Kerosene used in China	r=0.8	42yrs	102
Petroluem consumption in Nauru	r=0.8	42yrs	92
Kerosene used in Puerto Rico	r=0.8	42yrs	82
Gasoline pumped in Belgium	r=0.79	43yrs	71
Kerosene used in Turkiye	r=0.79	43yrs	61
Gasoline pumped in Bulgaria	r=0.79	42yrs	50

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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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