Top variables that correlate with Popularity of the first name Gloria

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.95	38yrs	454
Robberies in the US	r=0.97	38yrs	437
Arson in United States	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Gasoline pumped in Austria	r=0.95	43yrs	430
Gasoline pumped in France	r=0.95	43yrs	430
The distance between Neptune and the Sun	r=0.96	48yrs	420
The distance between Neptune and Earth	r=0.96	48yrs	420
The distance between Neptune and the moon	r=0.96	48yrs	420
NASA's budget as a percentage of the total US Federal Budget	r=0.93	48yrs	410
Viewership count for Days of Our Lives	r=0.92	47yrs	406
Motor vehicle thefts	r=0.95	38yrs	404
Kerosene used in Thailand	r=0.95	42yrs	399
Lloyds Banking Group's stock price (LYG)	r=0.93	21yrs	396
AIG's stock price (AIG)	r=0.92	21yrs	395
The number of cutters and trimmers, hand in California	r=0.96	20yrs	390
The number of tool and die makers in California	r=0.95	20yrs	388
The number of librarians in District of Columbia	r=0.97	16yrs	388
Physical album shipment volume in the United States	r=0.93	24yrs	380
The marriage rate in Wyoming	r=0.94	23yrs	380
The wind speed in Austin	r=0.94	39yrs	378
Robberies in Connecticut	r=0.97	38yrs	377
The marriage rate in Arkansas	r=0.92	23yrs	377
The marriage rate in Idaho	r=0.92	23yrs	377
The wind speed in San Diego	r=0.93	39yrs	376
Cottage cheese consumption	r=0.93	32yrs	375
Milk consumption	r=0.91	32yrs	374
Frozen yogurt consumption	r=0.91	32yrs	372
Kerosene used in Argentina	r=0.94	42yrs	368
Robberies in Connecticut	r=0.97	38yrs	367
Air pollution in Oxnard, California	r=0.93	43yrs	362
Citigroup's stock price (C)	r=0.88	21yrs	359
The distance between Neptune and Mercury	r=0.95	48yrs	358
The number of professional painters in Virginia	r=0.95	20yrs	358
Air pollution in Riverside, California	r=0.91	43yrs	358
Air pollution in San Diego, California	r=0.91	43yrs	358
Arson in New Jersey	r=0.96	38yrs	356
Kerosene used in Egypt	r=0.93	42yrs	356
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothing for men	r=0.9	23yrs	354
The marriage rate in Nevada	r=0.92	23yrs	347
Arson in Texas	r=0.96	38yrs	346
Fossil fuel use in Sierra Leone	r=0.9	42yrs	344
US birth rates of triplets or more	r=0.87	20yrs	344
Burglaries in Kansas	r=0.96	38yrs	336
The marriage rate in South Dakota	r=0.91	23yrs	336
Kerosene used in Cuba	r=0.91	42yrs	333
Motor vehicle thefts in New Jersey	r=0.96	38yrs	326
The marriage rate in Virginia	r=0.91	23yrs	326
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	325
Kerosene used in Pakistan	r=0.91	42yrs	323
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.9	22yrs	320
The number of upholsterers in California	r=0.95	20yrs	318
Motor vehicle thefts in Illinois	r=0.96	38yrs	316
The marriage rate in Alabama	r=0.9	23yrs	314
US average milk-fat content of frozen dairy products	r=0.9	22yrs	310
The number of plumbers in Puerto Rico	r=0.94	20yrs	308
Robberies in Illinois	r=0.96	38yrs	306
The marriage rate in Tennessee	r=0.9	23yrs	304
Gasoline pumped in Germany	r=0.91	32yrs	303
The number of carpet installers in Arizona	r=0.93	20yrs	297
Burglaries in District of Columbia	r=0.95	38yrs	294
Gasoline pumped in Latvia	r=0.9	31yrs	290
Carjackings in the US	r=0.91	27yrs	287
The number of conveyor operators in Arkansas	r=0.94	20yrs	287
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	284
Petroluem consumption in Uzbekistan	r=0.9	30yrs	280
The number of sewing machine operators in California	r=0.94	20yrs	277
Motor vehicle thefts in Pennsylvania	r=0.95	38yrs	274
The number of photographers in Connecticut	r=0.94	20yrs	267
Motor vehicle thefts in Texas	r=0.95	38yrs	264
The divorce rate in Alabama	r=0.89	23yrs	264
The number of professional painters in Georgia	r=0.94	20yrs	257
Motor vehicle thefts in Texas	r=0.95	38yrs	254
The divorce rate in Nevada	r=0.89	23yrs	254
Gasoline pumped in Cuba	r=0.89	42yrs	250
The number of telemarketers in New Jersey	r=0.93	20yrs	247
Motor vehicle thefts in Texas	r=0.95	38yrs	244
The divorce rate in North Carolina	r=0.89	23yrs	244
Kerosene used in North Korea	r=0.88	42yrs	238
The number of boiler operators in Ohio	r=0.94	20yrs	237
Robberies in New Jersey	r=0.95	38yrs	234
The divorce rate in Tennessee	r=0.89	23yrs	234
Kerosene used in Uruguay	r=0.88	42yrs	228
The number of tool and die makers in Pennsylvania	r=0.94	20yrs	227
Robberies in New York	r=0.95	38yrs	224
The marriage rate in Kansas	r=0.89	23yrs	222
The number of mechanical drafters in Texas	r=0.94	20yrs	217
Kerosene used in Puerto Rico	r=0.87	42yrs	217
The marriage rate in Kentucky	r=0.89	23yrs	212
Kerosene used in Venezuela	r=0.87	42yrs	207
The number of carpenters in Alabama	r=0.93	20yrs	206
The marriage rate in Ohio	r=0.89	23yrs	202
The number of conveyor operators in Alabama	r=0.93	20yrs	196
Gasoline pumped in Belgium	r=0.86	43yrs	196
The number of agricultural sciences teachers in California	r=0.94	19yrs	186
Petroluem consumption in North Korea	r=0.86	42yrs	186
The number of telemarketers in California	r=0.92	20yrs	176
Kerosene used in Peru	r=0.86	42yrs	176
The number of office clerks in California	r=0.93	20yrs	166
Kerosene used in Brazil	r=0.85	42yrs	164

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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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