Top variables that correlate with The marriage rate in Maryland

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Data source: CDC National Vital Statistics
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The marriage rate in Maryland correlates with...

Variable	Correlation	Years	Sys. Score
Frozen yogurt consumption	r=0.88	23yrs	368
Popularity of the first name Hunter	r=0.89	23yrs	361
Popularity of the first name James	r=0.88	23yrs	360
Popularity of the first name Victoria	r=0.88	23yrs	360
Ticket sales for Baltimore Orioles games	r=0.92	21yrs	356
US household spending on clothing for men	r=0.85	22yrs	356
Emmy Awards Ceremony viewership	r=0.88	23yrs	341
Nuclear power generation in United Kingdom	r=0.86	23yrs	340
Value of the Victoria's Secret Annual Fantasy Bra	r=0.87	21yrs	338
Jet fuel used in Gabon	r=0.87	23yrs	338
Petroluem consumption in Germany	r=0.87	23yrs	338
The number of automotive service technicians and mechanics in Maryland	r=0.85	19yrs	332
Car crashes in the US	r=0.88	16yrs	331
Popularity of the first name Adam	r=0.87	23yrs	328
How insightful Technology Connections YouTube video titles are	r=0.94	7yrs	325
How nerdy LockPickingLawyer YouTube video titles are	r=0.91	7yrs	320
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.91	7yrs	320
Popularity of the first name Kassidy	r=0.87	23yrs	318
Popularity of the first name Nikole	r=0.87	23yrs	308
Associates degrees awarded in Dental assisting	r=0.86	11yrs	298
Popularity of the first name Dylan	r=0.86	23yrs	296
Popularity of the first name Lawrence	r=0.86	23yrs	286
Number of articles Matt Levine published on Bloomberg on Wednesdays	r=0.86	8yrs	278
Popularity of the first name Deborah	r=0.86	23yrs	276
Popularity of the first name Daryl	r=0.86	23yrs	266
How geeky SciShow Space YouTube video titles are	r=0.9	8yrs	260
Popularity of the first name Catherine	r=0.85	23yrs	255
US household spending on clothing	r=0.84	22yrs	249
Average views of SciShow Space YouTube videos	r=0.87	8yrs	246
Popularity of the first name Karl	r=0.85	23yrs	245
US household spending on clothin for women	r=0.81	22yrs	244
NASA's budget as a percentage of the total US Federal Budget	r=0.85	23yrs	238
How geeky LockPickingLawyer YouTube video titles are	r=0.88	7yrs	236
Popularity of the first name Alisa	r=0.85	23yrs	235
Number of Slot Machines in Nevada	r=0.82	23yrs	234
Remaining Forest Cover in the Brazilian Amazon	r=0.82	23yrs	233
Viewership count for Days of Our Lives	r=0.82	23yrs	232
Robberies in Maryland	r=0.8	23yrs	232
Total annual sales of Ford Motors in the United States	r=0.84	23yrs	227
The number of shampooers in Maryland	r=0.84	19yrs	226
How good LockPickingLawyer YouTube video titles are	r=0.88	7yrs	226
Physical album shipment volume in the United States	r=0.8	23yrs	224
US Employment Rate	r=0.79	23yrs	222
Milk consumption	r=0.73	23yrs	212
The distance between Neptune and the Sun	r=0.78	23yrs	212
The distance between Neptune and Earth	r=0.78	23yrs	212
The distance between Neptune and the moon	r=0.78	23yrs	212
US household spending on shoes	r=0.79	22yrs	212
Ice cream consumption	r=0.73	23yrs	211
US household spending on transportation	r=0.75	22yrs	206
US household spending on postage and stationery	r=0.74	22yrs	204
US household spending on books	r=0.74	22yrs	204
The average age of batters for the Baltimore Orioles	r=0.8	23yrs	202
Petroluem consumption in Japan	r=0.85	23yrs	200
Carjackings in the US	r=0.76	23yrs	196
The number of drywall and ceiling tile installers in Maryland	r=0.82	19yrs	193
Arson in Maryland	r=0.74	23yrs	192
Number of public school students in 12th grade	r=-0.82	23yrs	189
Annual US household spending on processed vegetables	r=-0.85	22yrs	188
Annual US household spending on property taxes	r=-0.84	22yrs	187
Grocery store spend in Maryland	r=-0.84	22yrs	186
Number of public school students in 11th grade	r=-0.79	23yrs	186
Annual US household spending on other household products	r=-0.83	22yrs	186
Petroluem consumption in France	r=0.82	23yrs	186
Air pollution in Salisbury, Maryland	r=0.72	23yrs	185
Cottage cheese consumption	r=0.72	23yrs	180
Gasoline pumped in United Kingdom	r=0.82	23yrs	176
US average milk-fat content of frozen dairy products	r=0.77	22yrs	166
Liquefied petroleum gas used in Japan	r=0.81	23yrs	164
Robberies in the US	r=0.74	23yrs	162
The distance between Neptune and Uranus	r=-0.79	23yrs	154
Kerosene used in Tunisia	r=0.81	23yrs	154
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.75	22yrs	152
Burglaries in Maryland	r=0.73	23yrs	151
Petroluem consumption in Denmark	r=0.8	23yrs	142
US average milk-fat content of cottage cheese	r=0.75	22yrs	142
US Tobacco Production	r=0.78	22yrs	140
US household spending on property taxes	r=-0.83	22yrs	136
Gasoline pumped in Italy	r=0.8	23yrs	132
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.74	22yrs	131
Annual US household spending on cereals and bakery products	r=-0.82	22yrs	130
Annual US household spending on pets, toys, and hobbies	r=-0.82	22yrs	125
Liquefied petroleum gas used in Italy	r=0.8	23yrs	122
Popularity of the first name Alexandria	r=0.85	23yrs	120
Hispanic cheese consumption	r=-0.84	23yrs	116
Petroluem consumption in United Kingdom	r=0.8	23yrs	112
Popularity of the first name Frank	r=0.85	23yrs	110
Kerosene used globally	r=0.79	23yrs	101
Popularity of the first name Carl	r=0.85	23yrs	100
Sherbet consumption	r=0.71	23yrs	98
Kerosene used in Japan	r=0.79	23yrs	91
Popularity of the first name Nina	r=0.85	23yrs	90
Kerosene used in Norway	r=0.79	23yrs	81
Popularity of the first name Ellen	r=0.85	23yrs	80
Petroluem consumption in Sweden	r=0.79	23yrs	71
Popularity of the first name Antonia	r=0.85	23yrs	70
Petroluem consumption in Switzerland	r=0.79	23yrs	61
Popularity of the first name Kirk	r=0.85	23yrs	60
Jet fuel used in Barbados	r=0.78	23yrs	50
Gasoline pumped in Portugal	r=0.78	23yrs	40
Kerosene used in Pakistan	r=0.78	23yrs	0

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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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