Top variables that correlate with Popularity of the first name Aja

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

Variable	Correlation	Years	Has img?
Air pollution in Toledo	r=0.8	43yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
The divorce rate in Alabama	r=0.95	23yrs	413
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.97	22yrs	390
The number of switchboard operators in Wisconsin	r=0.96	20yrs	390
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
The number of file clerks in Alabama	r=0.95	19yrs	388
The number of postal service machine operators in Oklahoma	r=0.95	20yrs	388
How geeky Numberphile YouTube video titles are	r=0.95	12yrs	386
Gasoline pumped in Slovenia	r=0.93	31yrs	385
US birth rates of triplets or more	r=0.94	20yrs	384
Fossil fuel use in Slovakia	r=0.91	29yrs	383
Petroluem consumption in Germany	r=0.91	32yrs	383
Physical album shipment volume in the United States	r=0.95	24yrs	382
Motor vehicle thefts in Maryland	r=0.94	38yrs	382
Arson in Missouri	r=0.93	38yrs	381
The divorce rate in North Carolina	r=0.93	23yrs	380
US milk fat used to produce fluid beverage milk	r=0.94	22yrs	379
The marriage rate in Arkansas	r=0.93	23yrs	378
Motor vehicle thefts in Georgia	r=0.91	38yrs	378
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
Pirate attacks globally	r=0.92	14yrs	372
Google searches for 'shook'	r=0.9	19yrs	372
GMO use in cotton	r=0.94	23yrs	363
US household spending on books	r=0.94	23yrs	360
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on clothing	r=0.92	23yrs	357
US household spending on processed fruits	r=0.91	23yrs	356
US household spending on prescription drugs	r=0.91	23yrs	356
Google searches for 'report UFO sighting'	r=0.9	19yrs	348
The marriage rate in Idaho	r=0.93	23yrs	348
Robberies in Arizona	r=0.9	38yrs	346
Milk consumption	r=0.92	32yrs	345
U.S. intercountry adoptions	r=0.9	23yrs	344
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	344
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
Google searches for 'learn spanish'	r=0.9	19yrs	342
GMO use in corn grown in North Dakota	r=0.93	18yrs	340
Cigarette Smoking Rate for US adults	r=0.88	21yrs	339
The marriage rate in Nevada	r=0.93	23yrs	338
Ice cream consumption	r=0.92	32yrs	334
The number of telemarketers in California	r=0.95	20yrs	330
The divorce rate in Wyoming	r=0.92	23yrs	328
Arson in Idaho	r=0.92	22yrs	324
Petroluem consumption in Denmark	r=0.89	43yrs	321
The number of legislators in Pennsylvania	r=0.95	20yrs	320
The marriage rate in Alabama	r=0.92	23yrs	317
Kerosene used globally	r=0.89	42yrs	310
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	308
GMO use in corn grown in Texas	r=0.92	18yrs	308
The number of postal service machine operators in Arkansas	r=0.94	20yrs	307
The marriage rate in Wyoming	r=0.92	23yrs	307
The number of postal service machine operators in Connecticut	r=0.94	20yrs	297
The divorce rate in Kentucky	r=0.91	23yrs	297
Petroluem consumption in Sweden	r=0.86	43yrs	296
Motor vehicle thefts in Virginia	r=0.9	38yrs	296
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	294
The number of typists in District of Columbia	r=0.94	20yrs	287
The marriage rate in South Dakota	r=0.91	23yrs	286
Arson in Rhode Island	r=0.89	38yrs	285
Kerosene used in Central African Republic	r=0.89	35yrs	283
US average milk-fat content of cottage cheese	r=0.91	22yrs	282
The number of postal service machine operators in Indiana	r=0.94	20yrs	277
The marriage rate in West Virginia	r=0.91	23yrs	276
Burglaries in North Carolina	r=0.89	38yrs	275
Nuclear power generation in Germany	r=0.89	31yrs	272
The number of prepress technicians and workers in Indiana	r=0.94	20yrs	267
The divorce rate in Florida	r=0.9	23yrs	266
Motor vehicle thefts in Ohio	r=0.89	38yrs	265
Kerosene used in Montserrat	r=0.88	35yrs	262
Sherbet consumption	r=0.88	32yrs	258
The number of postal service machine operators in Iowa	r=0.94	20yrs	257
The divorce rate in Mississippi	r=0.9	23yrs	256
Motor vehicle thefts in Indiana	r=0.89	38yrs	255
Gasoline pumped in Germany	r=0.88	32yrs	248
The number of typists in Kansas	r=0.94	20yrs	247
The divorce rate in Oregon	r=0.9	23yrs	246
Robberies in South Carolina	r=0.89	38yrs	245
The number of computer programmers in Kentucky	r=0.93	20yrs	237
Gasoline pumped in Latvia	r=0.87	31yrs	236
The divorce rate in Tennessee	r=0.9	23yrs	236
Robberies in Virginia	r=0.89	38yrs	235
The number of postal service machine operators in Minnesota	r=0.94	20yrs	227
Arson in North Carolina	r=0.88	38yrs	224
Geothermal power generated in Austria	r=0.9	17yrs	220
The number of postal service machine operators in Mississippi	r=0.94	20yrs	217
Arson in Texas	r=0.88	38yrs	214
The number of typists in New Mexico	r=0.94	20yrs	207
Motor vehicle thefts in Florida	r=0.88	38yrs	204
The number of telemarketers in New York	r=0.93	20yrs	197
The divorce rate in Ohio	r=0.9	23yrs	196
Robberies in Pennsylvania	r=0.88	38yrs	194
The number of postal service machine operators in North Dakota	r=0.94	20yrs	187
The marriage rate in Tennessee	r=0.9	23yrs	184
Arson in Maryland	r=0.87	38yrs	182
The number of CEOs in Ohio	r=0.93	20yrs	177
The marriage rate in Kansas	r=0.89	23yrs	172
Burglaries in Hawaii	r=0.87	38yrs	172
The number of computer programmers in Ohio	r=0.93	20yrs	167
The divorce rate in Arkansas	r=0.88	23yrs	162
Motor vehicle thefts in Louisiana	r=0.87	38yrs	162
The divorce rate in Washington	r=0.88	23yrs	152
Robberies in Tennessee	r=0.87	38yrs	152

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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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