Top variables that correlate with Popularity of the first name Dusty

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Data source: US Social Security Administration
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Popularity of the first name Dusty correlates with...

Variable	Correlation	Years	Has img?
Air pollution in Corpus Christi, Texas	r=0.88	41yrs	Yes!
Air pollution in Miami	r=0.82	43yrs	Yes!
Air pollution in Toledo	r=0.76	43yrs	Yes!

Popularity of the first name Dusty also correlates with...

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.98	27yrs	428
Burglaries in Oregon	r=0.97	38yrs	417
Robberies in Oregon	r=0.97	38yrs	417
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.97	23yrs	414
Kerosene used in Portugal	r=0.95	43yrs	400
Kerosene used in Turkiye	r=0.94	43yrs	398
Kerosene used in Norway	r=0.93	43yrs	397
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
The number of prepress technicians and workers in New Hampshire	r=0.95	20yrs	388
The number of file clerks in South Carolina	r=0.96	18yrs	388
The number of librarians in California	r=0.95	16yrs	384
Average number of milk cows in the United States	r=0.87	43yrs	382
The marriage rate in Idaho	r=0.95	23yrs	382
The divorce rate in Alabama	r=0.94	23yrs	382
US birth rates of triplets or more	r=0.91	20yrs	380
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	378
Google searches for 'learn spanish'	r=0.93	19yrs	376
Google searches for 'snoop dog'	r=0.93	19yrs	376
Google searches for 'black holes'	r=0.91	19yrs	373
Frozen yogurt consumption	r=0.91	32yrs	372
Arson in United States	r=0.91	38yrs	368
Gasoline pumped in Bulgaria	r=0.93	42yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Citigroup's stock price (C)	r=0.88	21yrs	359
AIG's stock price (AIG)	r=0.88	21yrs	359
US household spending on books	r=0.92	23yrs	357
Air pollution in San Diego, California	r=0.9	43yrs	357
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
US household spending on clothing	r=0.91	23yrs	356
Air pollution in Oxnard, California	r=0.91	41yrs	356
Kerosene used in Mexico	r=0.94	40yrs	356
The marriage rate in Arkansas	r=0.94	23yrs	350
The distance between Neptune and the Sun	r=0.87	48yrs	346
The distance between Neptune and Earth	r=0.87	48yrs	346
The distance between Neptune and the moon	r=0.87	48yrs	346
Kerosene used in Uruguay	r=0.93	42yrs	346
GMO use in corn grown in South Dakota	r=0.93	23yrs	344
Burglaries in Colorado	r=0.95	38yrs	344
The marriage rate in Tennessee	r=0.94	23yrs	340
Petroluem consumption in Bulgaria	r=0.91	42yrs	333
Burglaries in Montana	r=0.94	38yrs	332
The marriage rate in Wyoming	r=0.94	23yrs	330
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	328
The number of postal service machine operators in Illinois	r=0.95	20yrs	328
Kerosene used in Romania	r=0.9	42yrs	322
Burglaries in Washington	r=0.94	38yrs	322
The divorce rate in Tennessee	r=0.93	23yrs	320
The number of CEOs in Kentucky	r=0.94	20yrs	318
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.94	22yrs	316
The distance between Neptune and Mercury	r=0.86	48yrs	314
Burglaries in New York	r=0.93	38yrs	311
The number of postal service machine operators in Michigan	r=0.95	20yrs	308
The marriage rate in Alabama	r=0.93	23yrs	308
US average milk-fat content of frozen dairy products	r=0.94	22yrs	306
Burglaries in California	r=0.93	38yrs	301
Gasoline pumped in North Macedonia	r=0.9	30yrs	300
The number of university biological science teachers in Texas	r=0.95	20yrs	298
The divorce rate in North Carolina	r=0.92	23yrs	298
Burglaries in Minnesota	r=0.92	38yrs	290
Liquefied petroleum gas used in Greenland	r=0.94	22yrs	288
The number of sewing machine operators in Alabama	r=0.94	20yrs	287
The marriage rate in Arizona	r=0.92	23yrs	287
Burglaries in Nevada	r=0.92	38yrs	280
The number of postal service machine operators in Arizona	r=0.94	20yrs	277
The marriage rate in Ohio	r=0.92	23yrs	277
Burglaries in Oklahoma	r=0.92	38yrs	270
The number of postal service machine operators in California	r=0.94	20yrs	267
The marriage rate in South Carolina	r=0.92	23yrs	267
Kerosene used in United States	r=0.89	43yrs	261
Robberies in Michigan	r=0.92	38yrs	260
The number of switchboard operators in Delaware	r=0.94	20yrs	257
The marriage rate in South Dakota	r=0.92	23yrs	257
Kerosene used in Cabo Verde	r=0.89	42yrs	250
Arson in New York	r=0.91	38yrs	248
The number of locksmiths and safe repairers in District of Columbia	r=0.94	20yrs	247
The marriage rate in Virginia	r=0.92	23yrs	247
Kerosene used in Ecuador	r=0.88	42yrs	238
Arson in Oklahoma	r=0.91	38yrs	238
The number of postal service machine operators in Florida	r=0.94	20yrs	237
The marriage rate in Kentucky	r=0.91	23yrs	236
Kerosene used in Hong Kong	r=0.88	42yrs	228
Arson in Colorado	r=0.91	38yrs	228
The number of postal service machine operators in Georgia	r=0.94	20yrs	227
Burglaries in Rhode Island	r=0.91	38yrs	218
The number of file clerks in Illinois	r=0.94	20yrs	217
Kerosene used in Bolivia	r=0.87	42yrs	217
Burglaries in Connecticut	r=0.91	38yrs	208
The number of tapers in Illinois	r=0.94	20yrs	207
Petroluem consumption in Romania	r=0.87	42yrs	207
Motor vehicle thefts in Massachusetts	r=0.91	38yrs	198
The number of postal service machine operators in Louisiana	r=0.94	20yrs	197
Kerosene used in Venezuela	r=0.86	42yrs	196
The divorce rate in Wyoming	r=0.89	23yrs	194
The number of postal service machine operators in Massachusetts	r=0.94	20yrs	187
Burglaries in Florida	r=0.9	38yrs	186
Gasoline pumped in Germany	r=0.89	32yrs	180
The number of payroll and timekeeping clerks in Michigan	r=0.94	20yrs	177
The number of postal service machine operators in Minnesota	r=0.94	20yrs	167
Petroluem consumption in Germany	r=0.87	32yrs	167
Petroluem consumption in Uzbekistan	r=0.87	30yrs	155

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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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