Top variables that correlate with US household spending on prescription drugs

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Data source: Bureau of Labor Statistics
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US household spending on prescription drugs correlates with...

Variable	Correlation	Years	Has img?
Votes for the Republican Presidential candidate in Texas	r=0.98	6yrs	No
US birth rates of triplets or more	r=0.96	20yrs	No
Votes for the Republican Presidential candidate in Washington	r=0.94	6yrs	Yes!
Arson in New York	r=0.94	23yrs	No
Arson in United States	r=0.94	23yrs	No
Burglaries in Arizona	r=0.93	23yrs	No
Popularity of the first name Jacob	r=0.93	23yrs	No
Popularity of the first name Julia	r=0.92	23yrs	No
The divorce rate in Arizona	r=0.88	22yrs	No
Air pollution in St. Louis	r=0.86	23yrs	Yes!

US household spending on prescription drugs also correlates with...

Variable	Correlation	Years	Sys. Score
The divorce rate in North Carolina	r=0.95	22yrs	412
Popularity of the first name Trey	r=0.95	23yrs	390
The number of floral designers in Pennsylvania	r=0.96	20yrs	390
The number of janitors and cleaners in West Virginia	r=0.96	20yrs	390
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	388
The number of file clerks in Alabama	r=0.95	19yrs	388
The divorce rate in Washington	r=0.95	22yrs	382
Cigarette Smoking Rate for US adults	r=0.95	21yrs	380
The divorce rate in Kentucky	r=0.94	22yrs	380
Nuclear power generation in Germany	r=0.93	22yrs	379
Fossil fuel use in Denmark	r=0.92	22yrs	378
Kerosene used globally	r=0.94	22yrs	378
Physical album shipment volume in the United States	r=0.91	23yrs	376
U.S. intercountry adoptions	r=0.91	22yrs	374
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
Milk consumption	r=0.94	22yrs	368
Burglaries in New York	r=0.94	23yrs	368
GMO use in cotton	r=0.94	23yrs	363
Cottage cheese consumption	r=0.91	22yrs	362
The distance between Neptune and the Sun	r=0.94	23yrs	362
The distance between Neptune and Earth	r=0.94	23yrs	362
The distance between Neptune and the moon	r=0.94	23yrs	362
Popularity of the first name Tanya	r=0.95	23yrs	360
Popularity of the first name Cayla	r=0.95	23yrs	360
The number of switchboard operators in Illinois	r=0.95	20yrs	358
The marriage rate in Alabama	r=0.94	22yrs	349
The number of prepress technicians and workers in Oregon	r=0.95	20yrs	348
Kerosene used in Bangladesh	r=0.94	22yrs	348
The divorce rate in Arkansas	r=0.93	22yrs	339
Kerosene used in Japan	r=0.94	23yrs	338
Burglaries in Oregon	r=0.94	23yrs	338
The number of librarians in Indiana	r=0.95	16yrs	334
Ice cream consumption	r=0.91	22yrs	332
Popularity of the first name Zakary	r=0.95	23yrs	330
The divorce rate in Florida	r=0.93	22yrs	329
Kerosene used in Macau	r=0.94	22yrs	328
Motor vehicle thefts in Rhode Island	r=0.94	23yrs	328
The number of school teachers in Illinois	r=0.96	13yrs	324
Popularity of the first name Tyron	r=0.95	23yrs	320
The divorce rate in Idaho	r=0.93	22yrs	319
Gasoline pumped in Norway	r=0.94	23yrs	318
Robberies in New York	r=0.94	23yrs	318
The number of executive administrative assistants in Washington	r=0.96	13yrs	313
Popularity of the first name Kristal	r=0.95	23yrs	310
The divorce rate in Wyoming	r=0.93	22yrs	309
Kerosene used in Norway	r=0.94	23yrs	308
Arson in Texas	r=0.93	23yrs	306
The number of preschool special education teachers in Alaska	r=0.96	11yrs	301
The divorce rate in Virginia	r=0.92	22yrs	298
Petroluem consumption in Puerto Rico	r=0.94	22yrs	298
Popularity of the first name Joshua	r=0.94	23yrs	298
Burglaries in Hawaii	r=0.93	23yrs	296
Gasoline pumped in Switzerland	r=0.94	23yrs	288
Popularity of the first name Andrew	r=0.94	23yrs	288
The marriage rate in Idaho	r=0.92	22yrs	286
Popularity of the first name Alexis	r=0.94	23yrs	278
Gasoline pumped in Italy	r=0.93	23yrs	277
The divorce rate in Colorado	r=0.91	22yrs	276
Burglaries in Colorado	r=0.93	23yrs	276
Popularity of the first name Katelyn	r=0.94	23yrs	268
The number of bill collectors in Colorado	r=0.94	20yrs	268
Liquefied petroleum gas used in Norway	r=0.93	23yrs	267
The divorce rate in Mississippi	r=0.91	22yrs	266
Burglaries in District of Columbia	r=0.93	23yrs	266
Popularity of the first name Paige	r=0.94	23yrs	258
Gasoline pumped in Slovenia	r=0.93	23yrs	257
The divorce rate in Ohio	r=0.91	22yrs	256
Arson in New Jersey	r=0.92	23yrs	254
Popularity of the first name Natasha	r=0.94	23yrs	248
The divorce rate in Oregon	r=0.91	22yrs	246
Fossil fuel use in U.S. Virgin Islands	r=0.91	22yrs	246
Burglaries in Nebraska	r=0.92	23yrs	244
Popularity of the first name Guadalupe	r=0.94	23yrs	238
The divorce rate in Texas	r=0.91	22yrs	236
Gasoline pumped in Croatia	r=0.93	22yrs	236
Arson in Indiana	r=0.91	23yrs	233
Popularity of the first name Jillian	r=0.94	23yrs	228
Liquefied petroleum gas used in Djibouti	r=0.93	22yrs	226
The marriage rate in Arkansas	r=0.91	22yrs	224
Arson in Maryland	r=0.91	23yrs	223
Popularity of the first name Abby	r=0.94	23yrs	218
Petroluem consumption in Italy	r=0.92	23yrs	216
The marriage rate in Nevada	r=0.91	22yrs	214
Burglaries in Texas	r=0.91	23yrs	213
Popularity of the first name Zackary	r=0.94	23yrs	208
Petroluem consumption in Japan	r=0.92	23yrs	206
The divorce rate in Wisconsin	r=0.9	22yrs	204
Burglaries in California	r=0.91	23yrs	203
Popularity of the first name Trent	r=0.94	23yrs	198
Liquefied petroleum gas used in Japan	r=0.92	23yrs	196
Burglaries in Wyoming	r=0.91	23yrs	193
Popularity of the first name Macy	r=0.94	23yrs	188
Gasoline pumped in Portugal	r=0.92	23yrs	186
Arson in Missouri	r=0.9	23yrs	182
Popularity of the first name Sonia	r=0.94	23yrs	178
Arson in North Carolina	r=0.9	23yrs	172
Popularity of the first name Karissa	r=0.94	23yrs	168

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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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