Top variables that correlate with Popularity of the first name Victoria

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

Variable	Correlation	Years	Has img?
How good LockPickingLawyer YouTube video titles are	r=0.97	8yrs	No
Master's degrees awarded in Visual and performing arts	r=0.95	10yrs	No
The marriage rate in Ohio	r=0.95	23yrs	No
Petroluem consumption in Germany	r=0.95	32yrs	No
How insightful LockPickingLawyer YouTube video titles are	r=0.94	8yrs	No
US household spending on shoes	r=0.91	23yrs	No
Ticket sales for Baltimore Orioles games	r=0.9	45yrs	No
Carjackings in the US	r=0.89	27yrs	No
NASA's budget appropriation	r=0.75	48yrs	No

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

Variable	Correlation	Years	Sys. Score
Nuclear power generation in United Kingdom	r=0.92	42yrs	398
Gasoline pumped in Germany	r=0.92	32yrs	384
The marriage rate in Missouri	r=0.95	23yrs	382
The marriage rate in Minnesota	r=0.94	23yrs	380
Total annual sales of Ford Motors in the United States	r=0.93	23yrs	376
The number of CEOs in Indiana	r=0.93	20yrs	357
The number of industrial production managers in Hawaii	r=0.93	20yrs	356
The number of counter and rental clerks in Kansas	r=0.93	20yrs	356
US household spending on clothing for men	r=0.9	23yrs	354
The marriage rate in Wisconsin	r=0.94	23yrs	350
Number of articles Matt Levine published on Bloomberg on Fridays	r=0.97	9yrs	350
Per capita consumption of margarine	r=0.95	10yrs	346
Robberies in Mississippi	r=0.88	38yrs	344
Robberies in North Carolina	r=0.88	38yrs	344
Ticket sales for Arizona Diamondbacks games	r=0.89	22yrs	343
The marriage rate in North Carolina	r=0.93	23yrs	338
Frozen yogurt consumption	r=0.85	32yrs	333
The marriage rate in South Carolina	r=0.93	23yrs	328
The number of hairdressers, hairstylists, and cosmetologists in Louisiana	r=0.93	20yrs	326
Gasoline pumped in Portugal	r=0.86	43yrs	326
Average length of LockPickingLawyer YouTube videos	r=0.92	8yrs	323
US household spending on clothing	r=0.89	23yrs	322
US household spending on books	r=0.88	23yrs	321
The marriage rate in Arizona	r=0.92	23yrs	317
The number of salespeople in Michigan	r=0.93	20yrs	316
Kerosene used in Belgium	r=0.87	39yrs	314
Air pollution in Ithaca	r=0.86	33yrs	314
Robberies in South Carolina	r=0.86	38yrs	310
The marriage rate in Tennessee	r=0.92	23yrs	307
The number of shampooers in Maryland	r=0.92	20yrs	304
How cool LockPickingLawyer YouTube video titles are	r=0.94	8yrs	301
The marriage rate in Michigan	r=0.91	23yrs	296
Petroluem consumption in Uzbekistan	r=0.88	30yrs	296
The number of salespeople in Minnesota	r=0.92	20yrs	294
The marriage rate in Virginia	r=0.91	23yrs	286
The number of switchboard operators in Nebraska	r=0.92	20yrs	284
The number of upholsterers in Pennsylvania	r=0.92	20yrs	274
The number of computer programmers in South Dakota	r=0.91	20yrs	264
Average views of SciShow Space YouTube videos	r=0.92	9yrs	259
Customer satisfaction with Frontier Communications	r=0.84	28yrs	256
The number of purchasing managers in Tennessee	r=0.92	20yrs	254
The number of cashiers in Vermont	r=0.92	20yrs	244
The marriage rate in Kentucky	r=0.9	23yrs	244
Ticket sales for Atlanta Braves games	r=0.78	45yrs	244
Customer satisfaction with Verizon	r=0.76	28yrs	244
Emmy Awards Ceremony viewership	r=0.83	36yrs	242
The number of library technicians in Virginia	r=0.92	20yrs	234
The divorce rate in Tennessee	r=0.89	23yrs	234
Physical album shipment volume in the United States	r=0.85	24yrs	232
Global count of operating nuclear power plants	r=0.69	48yrs	232
US Tobacco Production	r=0.83	23yrs	228
NCAA Men's Skiing champion's points	r=0.65	48yrs	226
Milk consumption	r=0.82	32yrs	225
US Employment Rate	r=0.73	33yrs	224
The number of credit counselors in California	r=0.95	13yrs	222
The marriage rate in Illinois	r=0.89	23yrs	222
Car crashes in the US	r=0.79	24yrs	220
The marriage rate in Arkansas	r=0.88	23yrs	211
The number of secretaries in Florida	r=0.93	13yrs	210
Ticket sales for Cleveland Guardians games	r=0.75	45yrs	210
The marriage rate in Maryland	r=0.88	23yrs	201
The number of secretaries in New York	r=0.93	13yrs	200
Motor vehicle thefts in Mississippi	r=0.84	38yrs	192
The marriage rate in Nevada	r=0.88	23yrs	191
The number of secretaries in Connecticut	r=0.92	13yrs	188
Gasoline pumped in Luxembourg	r=0.84	43yrs	188
The marriage rate in South Dakota	r=0.88	23yrs	181
Arson in Pennsylvania	r=0.83	38yrs	181
Ticket sales for Colorado Rockies games	r=0.74	27yrs	180
The number of secretaries in Indiana	r=0.92	13yrs	178
Gasoline pumped in Turkiye	r=0.84	43yrs	178
The marriage rate in Texas	r=0.88	23yrs	171
The number of secretaries in Maine	r=0.92	13yrs	168
Kerosene used in South Korea	r=0.82	43yrs	166
Arson in Nebraska	r=0.79	38yrs	165
The divorce rate in New Hampshire	r=0.87	23yrs	161
The number of childcare workers in North Carolina	r=0.92	13yrs	157
Gasoline pumped in Spain	r=0.82	43yrs	156
Motor vehicle thefts in Louisiana	r=0.78	38yrs	154
The marriage rate in Delaware	r=0.86	23yrs	148
Kerosene used in South Africa	r=0.8	42yrs	142
Motor vehicle thefts in Indiana	r=0.76	38yrs	140
Liquefied petroleum gas used in Australia	r=0.79	43yrs	131
Robberies in Kansas	r=0.76	38yrs	130
Liquefied petroleum gas used in Portugal	r=0.79	43yrs	121
Gasoline pumped in Finland	r=0.77	43yrs	108
Gasoline pumped in Italy	r=0.77	43yrs	98
Gasoline pumped in Eritrea	r=0.85	28yrs	85
Gasoline pumped in Denmark	r=0.74	43yrs	74
Gasoline pumped in Mauritania	r=0.74	42yrs	62
Gasoline pumped in North Macedonia	r=0.82	30yrs	52
Gasoline pumped in Slovenia	r=0.81	31yrs	42

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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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