Top variables that correlate with Popularity of the first name Byron

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

Variable	Correlation	Years	Sys. Score
Burglaries in Texas	r=0.96	38yrs	416
Burglary rates in the US	r=0.94	38yrs	402
Kerosene used in Venezuela	r=0.91	42yrs	393
The number of credit counselors in North Dakota	r=0.97	13yrs	384
Burglaries in Georgia	r=0.95	38yrs	384
The number of tax examiners and collectors, and revenue agents in Kentucky	r=0.95	13yrs	382
Gasoline pumped in Kosovo	r=0.95	14yrs	371
Air pollution in San Diego, California	r=0.93	43yrs	362
Air pollution in San Diego, California	r=0.93	43yrs	362
Kerosene used in Argentina	r=0.9	42yrs	362
Air pollution in Los Angeles	r=0.9	43yrs	360
Remaining Forest Cover in the Brazilian Amazon	r=0.86	36yrs	357
The number of bill collectors in Arizona	r=0.92	20yrs	356
Burglaries in Florida	r=0.94	38yrs	352
The distance between Neptune and the Sun	r=0.9	48yrs	350
The distance between Neptune and Earth	r=0.9	48yrs	350
The distance between Neptune and the moon	r=0.9	48yrs	350
Burglaries in Massachusetts	r=0.94	38yrs	342
Google searches for 'desktop background'	r=0.88	16yrs	336
Burglaries in Rhode Island	r=0.94	38yrs	332
Kerosene used in Turkiye	r=0.89	43yrs	331
The number of fire inspectors in Massachusetts	r=0.92	20yrs	326
Burglaries in Vermont	r=0.94	38yrs	322
Gasoline pumped in Somalia	r=0.89	42yrs	320
The distance between Neptune and Mercury	r=0.88	48yrs	318
Associates degrees awarded in Business	r=0.93	11yrs	318
Associates degrees awarded in Legal professions and studies	r=0.92	11yrs	316
Associates degrees awarded in Business operations	r=0.91	11yrs	315
The number of middle school special education teachers in Pennsylvania	r=0.92	20yrs	314
Burglaries in Connecticut	r=0.94	38yrs	312
Gasoline pumped in Bulgaria	r=0.88	42yrs	308
The number of human resources assistants in Pennsylvania	r=0.92	20yrs	304
Burglaries in New Hampshire	r=0.93	38yrs	301
Google searches for 'xkcd'	r=0.85	16yrs	301
Air pollution in Los Angeles	r=0.9	43yrs	300
Kerosene used in Egypt	r=0.88	42yrs	298
The number of bellhops in Alaska	r=0.91	19yrs	293
Burglaries in New Mexico	r=0.93	38yrs	291
Air pollution in New York City	r=0.9	43yrs	290
Petroluem consumption in Romania	r=0.88	42yrs	288
Associates degrees awarded in Visual and performing arts	r=0.91	11yrs	285
The number of executive administrative assistants in Virginia	r=0.95	13yrs	282
Burglaries in New York	r=0.93	38yrs	281
Kerosene used in Pakistan	r=0.87	42yrs	277
Air pollution in Oxnard, California	r=0.89	41yrs	274
Burglaries in Oklahoma	r=0.93	38yrs	271
The number of kindergarten teachers in California	r=0.9	20yrs	271
Kerosene used in Thailand	r=0.87	42yrs	267
Average number of milk cows in the United States	r=0.79	43yrs	266
Air pollution in Riverside, California	r=0.88	43yrs	264
Burglaries in Virginia	r=0.93	38yrs	261
The number of human resources assistants in Iowa	r=0.9	20yrs	261
Viewership count for Days of Our Lives	r=0.83	47yrs	257
Gasoline pumped in Austria	r=0.86	43yrs	256
Bachelor's degrees awarded in linguistics	r=0.91	10yrs	256
Air pollution in Oxnard, California	r=0.87	43yrs	252
Burglaries in Michigan	r=0.92	38yrs	250
The number of executive administrative assistants in Illinois	r=0.94	13yrs	250
NASA's budget as a percentage of the total US Federal Budget	r=0.77	48yrs	250
Kerosene used in Brazil	r=0.86	42yrs	246
Associates degrees awarded in Business management	r=0.91	11yrs	245
Robberies in Massachusetts	r=0.92	38yrs	240
The number of executive administrative assistants in Indiana	r=0.94	13yrs	240
Air pollution in Steamboat Springs, Colorado	r=0.88	38yrs	239
Gasoline pumped in Cuba	r=0.86	42yrs	236
Highest Nielsen rating for a TV show each year	r=0.72	46yrs	235
Associates degrees awarded in Accounting	r=0.91	11yrs	235
The number of executive administrative assistants in Mississippi	r=0.94	13yrs	230
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.85	22yrs	229
The wind speed in Austin	r=0.85	39yrs	229
Burglaries in Illinois	r=0.91	38yrs	228
US production of fluid beverage milk	r=0.83	22yrs	228
Google searches for 'download firefox'	r=0.84	19yrs	228
The divorce rate in Kansas	r=0.82	23yrs	228
The wind speed in San Diego	r=0.84	39yrs	228
Kerosene used in Cuba	r=0.86	42yrs	226
The divorce rate in West Virginia	r=0.8	23yrs	226
Master's degrees awarded in linguistics	r=0.9	10yrs	224
The number of first-line retail sales supervisors in New Hampshire	r=0.94	13yrs	220
The wind speed in Nashville	r=0.79	39yrs	220
Burglaries in Missouri	r=0.91	38yrs	218
Total number of automotive recalls	r=-0.88	48yrs	218
Gasoline pumped in France	r=0.85	43yrs	215
The number of childcare workers in New Mexico	r=0.94	13yrs	210
Burglaries in Pennsylvania	r=0.91	38yrs	208
Petroluem consumption in Bulgaria	r=0.85	42yrs	204
The number of career/technical education teachers, secondary school in North Carolina	r=0.94	13yrs	200
Burglaries in California	r=0.91	38yrs	198
Milk consumption	r=0.83	32yrs	196
Kerosene used in Mexico	r=0.86	40yrs	194
Burglaries in Wisconsin	r=0.91	38yrs	188
The number of printing press operators in District of Columbia	r=0.93	13yrs	188
The wind speed in Las Vegas	r=0.78	38yrs	188
Cottage cheese consumption	r=0.84	32yrs	186
The number of executive administrative assistants in Florida	r=0.93	13yrs	178
Freezing temperatures in Las Vegas	r=0.72	47yrs	178
Liquefied petroleum gas used in Belarus	r=0.86	30yrs	174
The number of career/technical education teachers, secondary school in Indiana	r=0.93	13yrs	168
The number of executive administrative assistants in Minnesota	r=0.93	13yrs	158
Petroluem consumption in Cuba	r=0.84	42yrs	68
Kerosene used in Ecuador	r=0.84	42yrs	58

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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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