Top variables that correlate with US household spending on postage and stationery

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Data source: Bureau of Labor Statistics
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US household spending on postage and stationery correlates with...

Variable	Correlation	Years	Has img?
Burglaries in Utah	r=0.96	23yrs	No
Popularity of the first name Samuel	r=0.96	23yrs	No
Robberies in Idaho	r=0.95	23yrs	No
Popularity of the first name Quentin	r=0.95	23yrs	No
Popularity of the first name Amy	r=0.95	23yrs	No
Burglaries in South Carolina	r=0.92	23yrs	No
Popularity of the first name Annika	r=0.92	23yrs	No
Robberies in Arizona	r=0.91	23yrs	No
Air pollution in Olympia, Washington	r=0.86	23yrs	Yes!
The number of tapers in Texas	r=0.8	18yrs	Yes!

US household spending on postage and stationery also correlates with...

Variable	Correlation	Years	Sys. Score
Robberies in the US	r=0.96	23yrs	420
Gasoline pumped in Finland	r=0.96	23yrs	412
U.S. intercountry adoptions	r=0.95	22yrs	410
Gasoline pumped in Sweden	r=0.95	23yrs	410
Burglaries in Idaho	r=0.96	23yrs	400
Burglaries in Minnesota	r=0.96	23yrs	400
Popularity of the first name Carlie	r=0.98	23yrs	394
Popularity of the first name Nathan	r=0.97	23yrs	393
Popularity of the first name Nathaniel	r=0.97	23yrs	393
The number of bill collectors in Illinois	r=0.97	20yrs	393
The number of telemarketers in New York	r=0.97	20yrs	393
The number of recreational therapists in Connecticut	r=0.97	20yrs	392
US birth rates of triplets or more	r=0.95	20yrs	386
Electricity generation in United Kingdom	r=0.94	22yrs	380
The divorce rate in Kentucky	r=0.93	22yrs	379
The divorce rate in Washington	r=0.91	22yrs	376
Cigarette Smoking Rate for US adults	r=0.92	21yrs	375
US production of fluid beverage milk	r=0.91	22yrs	374
Google searches for 'shook'	r=0.92	19yrs	374
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
The marriage rate in Idaho	r=0.91	22yrs	374
Google searches for 'panama canal'	r=0.91	19yrs	373
United States music album sales	r=0.93	16yrs	372
Burglaries in Nebraska	r=0.96	23yrs	370
Milk consumption	r=0.94	22yrs	368
Cottage cheese consumption	r=0.93	22yrs	365
Popularity of the first name Emilee	r=0.97	23yrs	363
The number of counter and rental clerks in Pennsylvania	r=0.97	20yrs	362
GMO use in cotton	r=0.93	23yrs	362
The distance between Neptune and the Sun	r=0.93	23yrs	360
The distance between Neptune and Earth	r=0.93	23yrs	360
The distance between Neptune and the moon	r=0.93	23yrs	360
Popularity of the first name Trinity	r=0.97	23yrs	353
The number of telemarketers in Pennsylvania	r=0.96	20yrs	352
Petroluem consumption in Japan	r=0.95	23yrs	350
Arson in Maryland	r=0.95	23yrs	349
The marriage rate in North Dakota	r=0.91	22yrs	344
Popularity of the first name Quintin	r=0.97	23yrs	343
The number of computer programmers in Tennessee	r=0.96	20yrs	342
Gasoline pumped in Norway	r=0.95	23yrs	340
Google searches for 'desktop background'	r=0.91	16yrs	340
Burglaries in Arizona	r=0.95	23yrs	339
The divorce rate in Arkansas	r=0.9	22yrs	334
Popularity of the first name Daniel	r=0.96	23yrs	332
The number of bill collectors in Washington	r=0.96	20yrs	332
Nuclear power generation in Germany	r=0.93	22yrs	329
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	328
Popularity of the first name David	r=0.96	23yrs	322
The number of sewing machine operators in California	r=0.96	20yrs	320
Robberies in Pennsylvania	r=0.95	23yrs	319
Petroluem consumption in Puerto Rico	r=0.95	22yrs	319
Popularity of the first name Ryan	r=0.96	23yrs	312
The number of travel agents in Connecticut	r=0.96	20yrs	310
Gasoline pumped in Japan	r=0.94	23yrs	308
Popularity of the first name William	r=0.96	23yrs	302
The number of human resources assistants in District of Columbia	r=0.96	20yrs	300
Gasoline pumped in Switzerland	r=0.94	23yrs	298
Arson in United States	r=0.93	23yrs	296
Popularity of the first name Anthony	r=0.96	23yrs	292
The number of floral designers in Indiana	r=0.96	20yrs	290
Petroluem consumption in France	r=0.93	23yrs	287
Burglary rates in the US	r=0.93	23yrs	286
The number of telemarketers in Kansas	r=0.95	20yrs	280
Fossil fuel use in Denmark	r=0.91	22yrs	276
Popularity of the first name Victor	r=0.96	23yrs	272
The number of cooks, institution and cafeteria in Louisiana	r=0.96	20yrs	270
Gasoline pumped in Austria	r=0.92	23yrs	266
Popularity of the first name Jake	r=0.96	23yrs	262
The number of CEOs in Massachusetts	r=0.96	19yrs	260
Motor vehicle thefts in Georgia	r=0.95	23yrs	259
Kerosene used in Bangladesh	r=0.93	22yrs	256
Popularity of the first name Brock	r=0.96	23yrs	252
The number of data entry keyers in Minnesota	r=0.96	20yrs	250
Robberies in Illinois	r=0.95	23yrs	249
Gasoline pumped in Ireland	r=0.92	23yrs	246
Popularity of the first name Kailey	r=0.96	23yrs	242
The number of data entry keyers in New York	r=0.96	20yrs	240
Robberies in Connecticut	r=0.95	23yrs	239
Petroluem consumption in Switzerland	r=0.92	23yrs	236
Popularity of the first name Taryn	r=0.96	23yrs	232
The number of switchboard operators in North Carolina	r=0.96	20yrs	230
Robberies in Connecticut	r=0.95	23yrs	229
Kerosene used globally	r=0.92	22yrs	224
Popularity of the first name Kailee	r=0.96	23yrs	222
The number of file clerks in Ohio	r=0.96	20yrs	220
Burglaries in Kansas	r=0.94	23yrs	218
Gasoline pumped in Croatia	r=0.92	22yrs	214
Popularity of the first name Kayley	r=0.96	23yrs	212
The number of prepress technicians and workers in Pennsylvania	r=0.96	20yrs	210
Burglaries in North Carolina	r=0.94	23yrs	208
Gasoline pumped in Denmark	r=0.91	23yrs	204
Popularity of the first name Elyssa	r=0.96	23yrs	202
The number of switchboard operators in South Carolina	r=0.96	20yrs	200
Burglaries in California	r=0.94	23yrs	198
Kerosene used in Iran	r=0.92	22yrs	194
Robberies in Maryland	r=0.94	23yrs	188
Petroluem consumption in Italy	r=0.91	23yrs	184
Robberies in North Carolina	r=0.94	23yrs	178

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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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