Top variables that correlate with Popularity of the first name Britany

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

Variable	Correlation	Years	Sys. Score
Motor vehicle thefts in New York	r=0.96	38yrs	416
The divorce rate in Kentucky	r=0.96	23yrs	414
The divorce rate in Mississippi	r=0.96	23yrs	414
The divorce rate in Virginia	r=0.96	23yrs	414
Motor vehicle thefts in Rhode Island	r=0.95	38yrs	414
Motor vehicle thefts in Texas	r=0.95	38yrs	414
Cigarette Smoking Rate for US adults	r=0.96	21yrs	411
Google searches for 'desktop background'	r=0.97	16yrs	409
The number of telemarketers in North Dakota	r=0.97	20yrs	393
The number of painting, coating, and decorating workers in Pennsylvania	r=0.98	20yrs	393
The number of typists in Mississippi	r=0.97	20yrs	392
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.96	22yrs	389
The divorce rate in Wyoming	r=0.96	23yrs	384
Motor vehicle thefts in Texas	r=0.95	38yrs	384
Petroluem consumption in Ukraine	r=0.93	30yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
Associates degrees awarded in Business	r=0.96	11yrs	382
Petroluem consumption in Belarus	r=0.92	30yrs	382
Jet fuel used in Ukraine	r=0.92	30yrs	382
Viewership count of American Idol Season Finale	r=0.92	21yrs	380
US production of fluid beverage milk	r=0.94	22yrs	379
Motor vehicle thefts in Texas	r=0.95	38yrs	374
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	374
United States music album sales	r=0.94	16yrs	373
Pirate attacks globally	r=0.92	14yrs	372
Asthma attacks in American children	r=0.87	23yrs	364
The number of library technicians in Pennsylvania	r=0.97	20yrs	362
Remaining Forest Cover in the Brazilian Amazon	r=0.88	36yrs	360
GMO use in cotton	r=0.91	23yrs	358
Asthma prevalence in American children	r=0.87	17yrs	358
US household spending on mortgage interest and charges	r=0.92	23yrs	357
US household spending on clothin for women	r=0.91	23yrs	356
US household spending on fresh milk and cream	r=0.9	23yrs	354
US household spending on clothing	r=0.9	23yrs	354
US household spending on tobacco products and smoking supplies	r=0.9	23yrs	354
The number of legislators in Tennessee	r=0.96	20yrs	352
Associates degrees awarded in Business management	r=0.95	11yrs	351
Robberies in the US	r=0.9	38yrs	346
Physical album shipment volume in the United States	r=0.9	24yrs	345
The divorce rate in Idaho	r=0.95	23yrs	343
GMO use in corn grown in Kansas	r=0.92	23yrs	343
The number of telemarketers in West Virginia	r=0.96	20yrs	342
Geothermal power generated in Austria	r=0.91	17yrs	341
Cottage cheese consumption	r=0.9	32yrs	340
GMO use in corn grown in North Dakota	r=0.93	18yrs	340
The divorce rate in Maine	r=0.95	23yrs	333
The number of kindergarten teachers in Arkansas	r=0.96	20yrs	330
Gasoline pumped in Kosovo	r=0.93	14yrs	328
Violent crime rates	r=0.88	38yrs	324
The divorce rate in Arkansas	r=0.94	23yrs	322
The number of postmasters in Georgia	r=0.96	20yrs	320
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	318
Liquefied petroleum gas used in Kosovo	r=0.92	14yrs	316
The divorce rate in Colorado	r=0.94	23yrs	312
Motor vehicle thefts in New Jersey	r=0.94	38yrs	312
The number of payroll and timekeeping clerks in Illinois	r=0.96	20yrs	310
GMO use in corn grown in Texas	r=0.93	18yrs	310
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	303
The divorce rate in Illinois	r=0.94	23yrs	302
Robberies in New York	r=0.94	38yrs	302
The number of switchboard operators in Iowa	r=0.96	20yrs	300
US average milk-fat content of frozen dairy products	r=0.92	22yrs	293
The divorce rate in Missouri	r=0.94	23yrs	292
Robberies in Connecticut	r=0.93	38yrs	291
The number of telemarketers in Nebraska	r=0.95	20yrs	290
Wind power generated in Samoa	r=0.96	8yrs	290
The divorce rate in North Carolina	r=0.94	23yrs	282
Robberies in Connecticut	r=0.93	38yrs	281
The number of computer programmers in New York	r=0.95	20yrs	280
US average milk-fat content of cottage cheese	r=0.9	22yrs	280
Liquefied petroleum gas used in Belarus	r=0.89	30yrs	278
The divorce rate in Washington	r=0.94	23yrs	272
The number of postmasters in North Dakota	r=0.96	20yrs	270
Burglaries in Connecticut	r=0.92	38yrs	270
Kerosene used in French Polynesia	r=0.88	32yrs	268
The number of postmasters in Utah	r=0.96	20yrs	260
The divorce rate in Florida	r=0.93	23yrs	260
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	260
Gasoline pumped in Latvia	r=0.88	31yrs	258
The number of postmasters in Virginia	r=0.96	20yrs	250
The divorce rate in New Hampshire	r=0.93	23yrs	250
Carjackings in the US	r=0.86	27yrs	250
Burglaries in New York	r=0.91	38yrs	248
Gasoline pumped in Uzbekistan	r=0.86	30yrs	244
The number of postmasters in Washington	r=0.96	20yrs	240
The divorce rate in Wisconsin	r=0.93	23yrs	240
Robberies in Massachusetts	r=0.91	38yrs	238
The number of file clerks in Washington	r=0.96	20yrs	230
The marriage rate in Alabama	r=0.93	23yrs	228
Arson in Georgia	r=0.9	38yrs	226
The number of postmasters in Wyoming	r=0.96	20yrs	220
The divorce rate in Alabama	r=0.92	23yrs	218
Burglaries in Florida	r=0.9	38yrs	216
The number of compensation and benefits managers in Mississippi	r=0.96	19yrs	209
The divorce rate in Delaware	r=0.92	23yrs	208
Burglaries in Massachusetts	r=0.9	38yrs	206
The number of training and development managers in Mississippi	r=0.96	19yrs	199
The divorce rate in Oklahoma	r=0.95	18yrs	198
The divorce rate in Oregon	r=0.92	23yrs	188
Burglary rates in the US	r=0.88	38yrs	184
Burglaries in Puerto Rico	r=0.91	24yrs	174

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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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