Top variables that correlate with Popularity of the first name Bradley

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

Variable	Correlation	Years	Has img?
Burglary rates in the US	r=0.95	38yrs	No

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Argentina	r=0.97	42yrs	432
Gasoline pumped in Cuba	r=0.96	42yrs	430
Kerosene used in Thailand	r=0.96	42yrs	430
Burglaries in New York	r=0.98	38yrs	418
Burglaries in Connecticut	r=0.98	38yrs	418
The wind speed in Austin	r=0.96	39yrs	410
Viewership count for Days of Our Lives	r=0.93	47yrs	407
Patents granted to Toshiba	r=0.98	12yrs	405
Kerosene used in Venezuela	r=0.96	42yrs	400
Customer satisfaction with Frontier Communications	r=0.9	28yrs	400
Air pollution in Oxnard, California	r=0.97	41yrs	396
Air pollution in San Diego, California	r=0.96	43yrs	396
The number of computer programmers in Georgia	r=0.98	20yrs	394
The number of office clerks in South Dakota	r=0.96	20yrs	390
The distance between Neptune and the Sun	r=0.95	48yrs	388
The distance between Neptune and Earth	r=0.95	48yrs	388
The distance between Neptune and the moon	r=0.95	48yrs	388
Burglaries in Rhode Island	r=0.97	38yrs	387
The number of secretaries in Arkansas	r=0.97	13yrs	386
Bachelor's degrees awarded in Theology and religious vocations	r=0.97	10yrs	384
Culinary Associates degrees awarded	r=0.96	11yrs	382
Burglaries in California	r=0.97	38yrs	377
The divorce rate in New Hampshire	r=0.91	23yrs	377
Frozen yogurt consumption	r=0.94	32yrs	376
The marriage rate in Minnesota	r=0.91	23yrs	376
The marriage rate in Missouri	r=0.91	23yrs	376
The wind speed in San Diego	r=0.91	39yrs	373
Air pollution in Los Angeles	r=0.95	43yrs	368
Burglaries in Florida	r=0.96	38yrs	366
Kerosene used in Cuba	r=0.95	42yrs	359
Burglaries in Montana	r=0.96	38yrs	356
The distance between Neptune and Mercury	r=0.94	48yrs	356
The number of secretaries in Colorado	r=0.97	13yrs	356
Master's degrees awarded in gender studies	r=0.96	10yrs	353
Gasoline pumped in Bulgaria	r=0.94	42yrs	348
Burglaries in New Jersey	r=0.96	38yrs	346
The number of executive administrative assistants in Iowa	r=0.97	13yrs	344
Academy Awards Ceremony Audience Size	r=0.89	23yrs	342
Kerosene used in Egypt	r=0.94	42yrs	338
Burglaries in New Mexico	r=0.96	38yrs	336
Air pollution in Los Angeles	r=0.94	43yrs	336
The number of secretaries in Iowa	r=0.95	13yrs	333
Gasoline pumped in France	r=0.93	43yrs	327
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	326
Air pollution in San Diego, California	r=0.95	43yrs	324
The number of orderlies in Tennessee	r=0.97	11yrs	322
Robberies in Oregon	r=0.96	38yrs	316
Gasoline pumped in Somalia	r=0.93	42yrs	316
The divorce rate in South Carolina	r=0.89	23yrs	314
Air pollution in Oxnard, California	r=0.94	43yrs	313
The number of labor relations specialists in Arkansas	r=0.96	11yrs	311
Kerosene used in Turkiye	r=0.92	43yrs	306
Arson in New York	r=0.95	38yrs	304
Carjackings in the US	r=0.92	27yrs	303
The marriage rate in Delaware	r=0.89	23yrs	302
The number of labor relations specialists in Iowa	r=0.96	11yrs	301
Air pollution in Riverside, California	r=0.92	43yrs	300
Kerosene used in Uruguay	r=0.93	42yrs	296
Burglaries in Minnesota	r=0.95	38yrs	294
The marriage rate in North Carolina	r=0.89	23yrs	292
The number of special education teachers in North Carolina	r=0.96	11yrs	291
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	285
Burglaries in Oklahoma	r=0.95	38yrs	284
Kerosene used in Pakistan	r=0.92	42yrs	284
The marriage rate in Ohio	r=0.89	23yrs	282
Burglaries in Oregon	r=0.95	38yrs	274
Average number of milk cows in the United States	r=0.85	43yrs	274
Kerosene used in Brazil	r=0.91	42yrs	273
The marriage rate in Texas	r=0.89	23yrs	272
Burglaries in Virginia	r=0.95	38yrs	264
Kerosene used in Ecuador	r=0.91	42yrs	263
The divorce rate in Illinois	r=0.88	23yrs	262
The number of CEOs in North Dakota	r=0.95	20yrs	260
Petroluem consumption in Romania	r=0.91	42yrs	253
The marriage rate in South Carolina	r=0.88	23yrs	251
The number of office clerks in Kansas	r=0.95	20yrs	248
Arson in United States	r=0.94	38yrs	242
Kerosene used in Mexico	r=0.91	40yrs	241
The divorce rate in Arizona	r=0.87	23yrs	241
The number of receptionists in Montana	r=0.93	20yrs	237
The divorce rate in Ohio	r=0.87	23yrs	231
The number of computer programmers in Nebraska	r=0.93	20yrs	227
The divorce rate in Tennessee	r=0.87	23yrs	221
The number of maintenance workers, machinery in Washington	r=0.94	20yrs	217
The divorce rate in Washington	r=0.87	23yrs	211
The number of advertising and promotions managers in Hawaii	r=0.93	20yrs	206
Burglaries in Colorado	r=0.95	38yrs	204
Petroluem consumption in Cuba	r=0.9	42yrs	202
The marriage rate in Kentucky	r=0.87	23yrs	200
The number of computer programmers in Minnesota	r=0.92	20yrs	196
Robberies in Michigan	r=0.95	38yrs	194
Gasoline pumped in Austria	r=0.88	43yrs	190
The marriage rate in Louisiana	r=0.87	23yrs	190
The number of CEOs in New York	r=0.92	20yrs	186
Petroluem consumption in Bulgaria	r=0.89	42yrs	180
The marriage rate in South Dakota	r=0.87	23yrs	180
The number of kindergarten teachers in Ohio	r=0.93	20yrs	176
Kerosene used in North Korea	r=0.89	42yrs	170
The number of cooks, short order in South Carolina	r=0.93	20yrs	166

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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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