Top variables that correlate with Popularity of the first name Norma

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

Variable	Correlation	Years	Has img?
Google searches for 'snoop dog'	r=0.9	19yrs	No

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.98	38yrs	438
Remaining Forest Cover in the Brazilian Amazon	r=0.98	36yrs	435
Motor vehicle thefts	r=0.95	38yrs	434
Robberies in the US	r=0.95	38yrs	434
Carjackings in the US	r=0.95	27yrs	423
Physical album shipment volume in the United States	r=0.97	24yrs	416
The divorce rate in Alabama	r=0.97	23yrs	416
The marriage rate in Nevada	r=0.97	23yrs	414
The marriage rate in Idaho	r=0.96	23yrs	413
US milk fat used to produce fluid beverage milk	r=0.95	22yrs	410
Google searches for 'learn spanish'	r=0.96	19yrs	410
Google searches for 'black holes'	r=0.96	19yrs	410
The wind speed in Austin	r=0.96	39yrs	410
Liquefied petroleum gas used in Greenland	r=0.95	22yrs	409
Gasoline pumped in France	r=0.94	43yrs	398
Kerosene used in Thailand	r=0.94	42yrs	398
AIG's stock price (AIG)	r=0.92	21yrs	395
Violent crime rates	r=0.95	38yrs	394
The number of sewing machine operators in Alabama	r=0.98	20yrs	393
Citigroup's stock price (C)	r=0.9	21yrs	392
The number of postal service machine operators in Arizona	r=0.97	20yrs	392
The number of payroll and timekeeping clerks in Michigan	r=0.97	20yrs	392
The distance between Neptune and Earth	r=0.94	48yrs	386
The distance between Neptune and Mercury	r=0.94	48yrs	386
The distance between Neptune and the moon	r=0.94	48yrs	386
The marriage rate in Wyoming	r=0.96	23yrs	383
Popularity of the 'all your base' meme	r=0.94	17yrs	382
The wind speed in San Diego	r=0.95	39yrs	379
Frozen yogurt consumption	r=0.94	32yrs	376
GMO use in cotton in North Carolina	r=0.96	23yrs	376
Viewership count for Days of Our Lives	r=0.9	47yrs	372
Cottage cheese consumption	r=0.9	32yrs	370
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	368
Kerosene used in Uruguay	r=0.94	42yrs	368
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in Los Angeles	r=0.93	43yrs	364
Air pollution in Los Angeles	r=0.91	43yrs	362
Air pollution in Oxnard, California	r=0.93	43yrs	362
The number of file clerks in Illinois	r=0.96	20yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
Motor vehicle thefts in New Jersey	r=0.98	38yrs	358
Kerosene used in Argentina	r=0.93	42yrs	356
The distance between Neptune and the Sun	r=0.93	48yrs	355
The number of CEOs in Kentucky	r=0.95	20yrs	350
Motor vehicle thefts in Illinois	r=0.98	38yrs	348
Kerosene used in Cuba	r=0.92	42yrs	344
The number of postal service machine operators in Louisiana	r=0.96	20yrs	340
The marriage rate in Tennessee	r=0.94	23yrs	340
Arson in New Jersey	r=0.97	38yrs	337
Gasoline pumped in Cuba	r=0.9	42yrs	332
Air pollution in San Diego, California	r=0.93	43yrs	332
The number of postal service machine operators in Massachusetts	r=0.96	20yrs	330
The marriage rate in Alabama	r=0.93	23yrs	328
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	328
Burglaries in New York	r=0.97	38yrs	327
Kerosene used in Turkiye	r=0.9	43yrs	322
Air pollution in Oxnard, California	r=0.94	41yrs	321
The number of postal service machine operators in New Hampshire	r=0.96	20yrs	320
The marriage rate in Arizona	r=0.93	23yrs	318
Burglaries in District of Columbia	r=0.97	38yrs	317
Kerosene used in Venezuela	r=0.9	42yrs	312
The number of postal service machine operators in New York	r=0.96	20yrs	310
Air pollution in Riverside, California	r=0.92	43yrs	310
The marriage rate in Virginia	r=0.93	23yrs	308
Robberies in Washington	r=0.97	38yrs	307
The number of sewing machine operators in Tennessee	r=0.96	20yrs	300
Air pollution in San Diego, California	r=0.92	43yrs	300
The divorce rate in North Carolina	r=0.92	23yrs	298
Petroluem consumption in Uzbekistan	r=0.95	30yrs	297
Arson in Nevada	r=0.96	38yrs	296
The number of compensation and benefits managers in Georgia	r=0.97	19yrs	290
Air pollution in Philadelphia, Pennsylvania	r=0.91	43yrs	288
The marriage rate in Arkansas	r=0.92	23yrs	287
Arson in California	r=0.96	38yrs	286
Gasoline pumped in Germany	r=0.93	32yrs	286
The number of compensation and benefits managers in Colorado	r=0.96	19yrs	279
The divorce rate in Tennessee	r=0.91	23yrs	277
Arson in Texas	r=0.96	38yrs	276
The number of compensation and benefits managers in New Jersey	r=0.96	19yrs	269
Arson in Connecticut	r=0.96	38yrs	266
The marriage rate in Ohio	r=0.91	23yrs	266
Geothermal power generated in Austria	r=0.92	17yrs	262
The number of postal service machine operators in California	r=0.95	20yrs	258
Burglaries in New Jersey	r=0.96	38yrs	256
The marriage rate in South Dakota	r=0.9	23yrs	254
The number of postal service machine operators in Florida	r=0.95	20yrs	248
Burglaries in Connecticut	r=0.96	38yrs	246
Gasoline pumped in Austria	r=0.89	43yrs	241
The number of postal service machine operators in Illinois	r=0.95	20yrs	238
Robberies in New York	r=0.96	38yrs	236
Kerosene used in Norway	r=0.89	43yrs	231
The number of tapers in Illinois	r=0.95	20yrs	228
Arson in Colorado	r=0.95	38yrs	224
Kerosene used in Portugal	r=0.89	43yrs	221
The number of prepress technicians and workers in Maine	r=0.95	20yrs	218
Fossil fuel use in Sierra Leone	r=0.87	42yrs	210
The number of postal service machine operators in Michigan	r=0.95	20yrs	208
Gasoline pumped in Belgium	r=0.88	43yrs	200
The number of postal service machine operators in Minnesota	r=0.95	20yrs	198
Petroluem consumption in Romania	r=0.89	42yrs	190

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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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