Top variables that correlate with Popularity of the first name Selina

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

Variable	Correlation	Years	Sys. Score
The number of salespeople in West Virginia	r=0.95	20yrs	388
The number of bill collectors in Oklahoma	r=0.93	20yrs	357
The number of receptionists in Minnesota	r=0.92	20yrs	356
The divorce rate in Delaware	r=0.86	23yrs	340
The number of salespeople in Ohio	r=0.93	20yrs	326
Number of articles Matt Levine published on Bloomberg on Fridays	r=0.95	9yrs	318
The number of human resources assistants in Oklahoma	r=0.93	20yrs	316
The number of receptionists in Iowa	r=0.91	20yrs	304
United States music album sales	r=0.87	16yrs	302
GMO use in corn grown in Texas	r=0.88	18yrs	302
How good LockPickingLawyer YouTube video titles are	r=0.94	8yrs	301
GMO use in cotton in Alabama	r=0.86	18yrs	296
Bloomberg Money Stuff articles about insider trading	r=0.93	9yrs	294
Number of articles Matt Levine published on Bloomberg.com	r=0.93	9yrs	294
The number of procurement clerks in Massachusetts	r=0.92	20yrs	294
Average number of comments on SciShow Space YouTube videos	r=0.87	9yrs	286
The number of photographers in Ohio	r=0.92	20yrs	284
How professional-sounding LockPickingLawyer YouTube video titles are	r=0.9	8yrs	280
The number of salespeople in Connecticut	r=0.91	20yrs	272
The number of retail salespersons in Maryland	r=0.91	20yrs	262
The number of maintenance and repair workers in Maryland	r=0.91	20yrs	252
HSBC Holdings' stock price (HSBC)	r=0.85	21yrs	250
BP's stock price (BP)	r=0.82	21yrs	248
Customer satisfaction with Frontier Communications	r=0.78	28yrs	248
Violent crime rates	r=0.67	38yrs	247
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.82	21yrs	245
Customer satisfaction with Walmart	r=0.76	27yrs	244
Carjackings in the US	r=0.84	27yrs	242
Customer satisfaction with Verizon	r=0.74	28yrs	242
The number of receptionists in Nebraska	r=0.9	20yrs	242
Biomass power generated in Jamaica	r=0.75	42yrs	237
Gasoline pumped in Mauritania	r=0.75	42yrs	234
The divorce rate in New Hampshire	r=0.84	23yrs	232
The number of procurement clerks in New Hampshire	r=0.91	20yrs	232
Jet fuel used in Saint Vincent/Grenadines	r=0.85	24yrs	231
The marriage rate in Alaska	r=0.83	23yrs	228
Robberies in Maryland	r=0.78	38yrs	224
Frozen yogurt consumption	r=0.81	32yrs	222
The number of mechanical drafters in Oregon	r=0.91	20yrs	222
The number of computer programmers in South Carolina	r=0.9	20yrs	212
US household spending on mortgage interest and charges	r=0.83	23yrs	208
US household spending on postage and stationery	r=0.83	23yrs	208
The number of forging machine setters, operators, and tenders, metal and plastic in Texas	r=0.91	20yrs	202
Petroluem consumption in Azerbaijan	r=0.8	30yrs	200
The marriage rate in Kentucky	r=0.83	23yrs	198
Robberies in Minnesota	r=0.77	38yrs	192
The number of recreational therapists in Illinois	r=0.9	20yrs	191
Kerosene used in Philippines	r=0.72	42yrs	190
The marriage rate in Louisiana	r=0.83	23yrs	188
General Electric's stock price (GE)	r=0.78	21yrs	182
The number of photographers in New Hampshire	r=0.9	20yrs	181
Arson in Massachusetts	r=0.75	38yrs	179
Gasoline pumped in Italy	r=0.7	43yrs	178
The marriage rate in North Carolina	r=0.82	23yrs	177
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)	r=0.8	21yrs	172
The number of blender tenders in New Jersey	r=0.9	20yrs	171
Robberies in Mississippi	r=0.75	38yrs	169
Gasoline pumped in North Macedonia	r=0.79	30yrs	168
The divorce rate in Kentucky	r=0.81	23yrs	167
Barclays' stock price (BCS)	r=0.8	21yrs	162
The number of millwrights in Oregon	r=0.9	20yrs	161
Robberies in Arkansas	r=0.75	38yrs	159
The divorce rate in Virginia	r=0.81	23yrs	157
Petroluem consumption in Djibouti	r=0.7	42yrs	156
Vodafone Group's stock price (VOD)	r=0.78	21yrs	149
Robberies in South Carolina	r=0.74	38yrs	148
The marriage rate in Idaho	r=0.81	23yrs	146
Kerosene used in Dominican Republic	r=0.7	42yrs	146
Robberies in Alabama	r=0.74	38yrs	138
The marriage rate in Missouri	r=0.81	23yrs	136
Gasoline pumped in Guinea-Bissau	r=0.7	42yrs	136
The divorce rate in Maine	r=0.8	23yrs	126
Kerosene used in Saint Kitts and Nevis	r=0.7	42yrs	126
Robberies in Louisiana	r=0.73	38yrs	126
The marriage rate in Arizona	r=0.8	23yrs	114
Jet fuel used in Libya	r=0.68	42yrs	114
Robberies in Hawaii	r=0.72	38yrs	114
The marriage rate in Virginia	r=0.8	23yrs	104
Robberies in Iowa	r=0.72	38yrs	104
Fossil fuel use in Greenland	r=0.65	42yrs	102
The divorce rate in Colorado	r=0.79	23yrs	94
Robberies in Nevada	r=0.72	38yrs	94
Petroluem consumption in Japan	r=0.63	48yrs	92
The divorce rate in Nevada	r=0.79	23yrs	84
Arson in Pennsylvania	r=0.71	38yrs	83
Petroluem consumption in Uzbekistan	r=0.75	30yrs	82
The divorce rate in Washington	r=0.79	23yrs	74
Motor vehicle thefts in Indiana	r=0.71	38yrs	73
Petroluem consumption in Germany	r=0.72	32yrs	70
Robberies in Missouri	r=0.71	38yrs	63
The marriage rate in South Dakota	r=0.79	23yrs	62
Gasoline pumped in Latvia	r=0.73	31yrs	60
Robberies in North Carolina	r=0.71	38yrs	53
The marriage rate in Wyoming	r=0.79	23yrs	52
Kerosene used in Chile	r=0.64	43yrs	48
Robberies in Virginia	r=0.71	38yrs	43
The marriage rate in Nebraska	r=0.78	23yrs	41
Kerosene used in Congo-Brazzaville	r=0.7	34yrs	38
Robberies in District of Columbia	r=0.71	38yrs	33
Jet fuel used in Guam	r=0.64	42yrs	28
Arson in Iowa	r=0.81	22yrs	22

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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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