Top variables that correlate with Popularity of the first name Bradford

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.98	43yrs	434
Kerosene used in Mexico	r=0.98	40yrs	432
Gasoline pumped in Bulgaria	r=0.96	42yrs	430
Average number of milk cows in the United States	r=0.93	43yrs	422
Robberies in Oregon	r=0.98	38yrs	418
Burglaries in New York	r=0.97	38yrs	417
Burglaries in Oregon	r=0.97	38yrs	417
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Burglaries in California	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.94	48yrs	386
The distance between Neptune and Earth	r=0.93	48yrs	385
The distance between Neptune and the moon	r=0.93	48yrs	385
The marriage rate in Arkansas	r=0.94	23yrs	380
The marriage rate in Nevada	r=0.93	23yrs	378
The divorce rate in Tennessee	r=0.92	23yrs	378
Burglaries in Colorado	r=0.97	38yrs	377
Physical album shipment volume in the United States	r=0.91	24yrs	376
Frozen yogurt consumption	r=0.94	32yrs	376
The wind speed in Austin	r=0.92	39yrs	374
The wind speed in Nashville	r=0.91	39yrs	373
Kerosene used in Uruguay	r=0.95	42yrs	369
Viewership count for Days of Our Lives	r=0.87	47yrs	368
Arson in New York	r=0.96	38yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in Los Angeles	r=0.93	43yrs	364
Air pollution in San Diego, California	r=0.95	43yrs	364
Customer satisfaction with Frontier Communications	r=0.85	28yrs	363
Air pollution in Los Angeles	r=0.92	43yrs	363
Highest Nielsen rating for a TV show each year	r=0.87	46yrs	362
Petroluem consumption in Bulgaria	r=0.94	42yrs	358
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
US household spending on clothing for men	r=0.91	23yrs	356
Burglaries in Montana	r=0.95	38yrs	354
The distance between Neptune and the Sun	r=0.92	48yrs	354
The number of photographers in Arkansas	r=0.92	20yrs	354
The number of telemarketers in Illinois	r=0.91	20yrs	354
The number of switchboard operators in Georgia	r=0.91	20yrs	352
US average milk-fat content of frozen dairy products	r=0.9	22yrs	350
Kerosene used in Portugal	r=0.93	43yrs	347
The marriage rate in Ohio	r=0.92	23yrs	347
Burglaries in Connecticut	r=0.95	38yrs	344
US birth rates of triplets or more	r=0.86	20yrs	342
The wind speed in San Diego	r=0.9	39yrs	342
Carjackings in the US	r=0.93	27yrs	340
Ticket sales for Arizona Diamondbacks games	r=0.86	22yrs	338
The marriage rate in Tennessee	r=0.92	23yrs	337
Total comments on Computerphile YouTube videos	r=0.9	10yrs	337
Kerosene used in Ecuador	r=0.93	42yrs	336
Google searches for 'panama canal'	r=0.85	19yrs	334
Air pollution in New York City	r=0.92	43yrs	333
The marriage rate in Virginia	r=0.92	23yrs	327
Kerosene used in Venezuela	r=0.93	42yrs	326
Air pollution in Oxnard, California	r=0.95	41yrs	322
The number of authors in Kansas	r=0.9	20yrs	322
Burglary rates in the US	r=0.93	38yrs	321
The marriage rate in Alabama	r=0.91	23yrs	316
Kerosene used in Bolivia	r=0.91	42yrs	313
The number of boiler operators in Massachusetts	r=0.91	20yrs	312
Arson in United States	r=0.92	38yrs	310
Air pollution in San Diego, California	r=0.91	43yrs	308
Cottage cheese consumption	r=0.88	32yrs	308
The wind speed in Minneapolis	r=0.87	39yrs	307
The marriage rate in Arizona	r=0.91	23yrs	306
Kerosene used in Hong Kong	r=0.91	42yrs	303
The number of data entry keyers in Nebraska	r=0.91	20yrs	302
The marriage rate in Idaho	r=0.91	23yrs	296
Air pollution in Norwich, Connecticut	r=0.9	42yrs	296
Milk consumption	r=0.86	32yrs	296
Petroluem consumption in Romania	r=0.91	42yrs	293
The number of library technicians in Tennessee	r=0.91	20yrs	292
The marriage rate in Kentucky	r=0.91	23yrs	286
Kerosene used in Romania	r=0.91	42yrs	283
The marriage rate in North Carolina	r=0.91	23yrs	276
Burglaries in Rhode Island	r=0.95	38yrs	274
Gasoline pumped in Somalia	r=0.91	42yrs	273
The marriage rate in South Carolina	r=0.91	23yrs	266
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	264
Air pollution in New York City	r=0.89	43yrs	258
The marriage rate in South Dakota	r=0.91	23yrs	256
Jet fuel used in Ukraine	r=0.93	30yrs	254
Burglaries in Minnesota	r=0.94	38yrs	252
The marriage rate in Missouri	r=0.9	23yrs	244
Burglaries in Oklahoma	r=0.94	38yrs	242
Petroluem consumption in Azerbaijan	r=0.9	30yrs	240
Burglaries in Washington	r=0.94	38yrs	232
Robberies in Michigan	r=0.94	38yrs	222
Gasoline pumped in Cuba	r=0.9	42yrs	212
Arson in Colorado	r=0.93	38yrs	211
The divorce rate in Alabama	r=0.9	23yrs	206
Kerosene used in Norway	r=0.9	43yrs	202
Burglaries in Florida	r=0.93	38yrs	201
The divorce rate in Washington	r=0.89	23yrs	194
Burglaries in Alaska	r=0.93	38yrs	191
Kerosene used in United States	r=0.89	43yrs	191
The marriage rate in Wisconsin	r=0.89	23yrs	182
Kerosene used in Argentina	r=0.89	42yrs	180
The divorce rate in New Hampshire	r=0.88	23yrs	172
Kerosene used in Cuba	r=0.89	42yrs	170
The divorce rate in North Carolina	r=0.88	23yrs	162
The divorce rate in Ohio	r=0.88	23yrs	152

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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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