Top variables that correlate with Popularity of the first name Brittani

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

Variable	Correlation	Years	Sys. Score
Motor vehicle thefts in New York	r=0.98	38yrs	418
Robberies in New York	r=0.97	38yrs	417
Motor vehicle thefts in New Jersey	r=0.96	38yrs	416
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	393
Carjackings in the US	r=0.94	27yrs	392
The number of meter readers, utilities in North Carolina	r=0.96	20yrs	390
The number of data entry keyers in Pennsylvania	r=0.96	20yrs	390
The number of switchboard operators in Tennessee	r=0.96	20yrs	390
Motor vehicle thefts in Texas	r=0.96	38yrs	386
Petroluem consumption in Azerbaijan	r=0.94	30yrs	386
Jet fuel used in Ukraine	r=0.94	30yrs	386
US birth rates of triplets or more	r=0.94	20yrs	384
Petroluem consumption in Ukraine	r=0.92	30yrs	382
Motor vehicle thefts in Texas	r=0.96	38yrs	376
Google searches for 'snoop dog'	r=0.92	19yrs	374
Google searches for 'desktop background'	r=0.93	16yrs	373
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
United States music album sales	r=0.92	16yrs	370
Patents granted to Toshiba	r=0.94	12yrs	369
Customer satisfaction with Verizon	r=0.88	28yrs	368
Motor vehicle thefts in Texas	r=0.96	38yrs	366
Customer satisfaction with Frontier Communications	r=0.87	28yrs	366
The number of advertising and promotions managers in South Carolina	r=0.95	20yrs	358
Air pollution in Santa Maria, California	r=0.91	42yrs	358
US household spending on books	r=0.91	23yrs	356
Air pollution in Santa Maria, California	r=0.9	41yrs	355
Petroluem consumption in Belarus	r=0.9	30yrs	350
The number of switchboard operators in Wisconsin	r=0.95	20yrs	348
The marriage rate in Arizona	r=0.89	23yrs	342
The marriage rate in Ohio	r=0.88	23yrs	341
The marriage rate in Tennessee	r=0.88	23yrs	341
The wind speed in San Diego	r=0.9	37yrs	340
Frozen yogurt consumption	r=0.89	32yrs	339
Robberies in the US	r=0.91	38yrs	338
The number of typists in Wisconsin	r=0.95	20yrs	338
GMO use in corn grown in Texas	r=0.91	18yrs	336
The wind speed in Austin	r=0.88	37yrs	336
The wind speed in Boston	r=0.88	37yrs	336
Gasoline pumped in Kosovo	r=0.91	14yrs	325
US household spending on processed fruits	r=0.87	23yrs	320
US household spending on clothing for men	r=0.87	23yrs	320
Air pollution in Steamboat Springs, Colorado	r=0.89	38yrs	320
Google searches for 'shook'	r=0.88	19yrs	308
The marriage rate in South Carolina	r=0.86	23yrs	308
Jet fuel used in Afghanistan	r=0.88	42yrs	308
Violent crime rates	r=0.9	38yrs	306
The wind speed in Washington, D.C.	r=0.87	36yrs	304
Cenovus Energy's stock price (CVE)	r=0.87	13yrs	300
Google searches for 'panama canal'	r=0.88	19yrs	298
The divorce rate in Tennessee	r=0.85	23yrs	298
The number of meter readers, utilities in Alabama	r=0.95	20yrs	298
Kerosene used in Pakistan	r=0.87	42yrs	297
Burglaries in New York	r=0.95	38yrs	294
Google searches for 'learn spanish'	r=0.88	19yrs	288
The number of prepress technicians and workers in Colorado	r=0.95	20yrs	288
The divorce rate in Oklahoma	r=0.86	18yrs	284
Burglaries in Connecticut	r=0.95	38yrs	284
Air pollution in Los Alamos, New Mexico	r=0.86	33yrs	281
The number of typists in Florida	r=0.95	20yrs	278
Google searches for 'Panama Canal'	r=0.86	19yrs	276
Kerosene used in French Polynesia	r=0.86	32yrs	276
Motor vehicle thefts in Massachusetts	r=0.94	38yrs	272
The number of telecommunications line installers and repairers in Illinois	r=0.95	20yrs	268
Gasoline pumped in Eritrea	r=0.87	28yrs	263
Burglaries in District of Columbia	r=0.93	38yrs	261
The number of boiler operators in North Carolina	r=0.95	20yrs	258
Motor vehicle thefts in Rhode Island	r=0.93	38yrs	251
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	250
Customer satisfaction with Walmart	r=0.79	27yrs	248
The number of CEOs in Ohio	r=0.94	20yrs	248
Arson in New York	r=0.92	38yrs	240
NASA's budget appropriation	r=0.69	48yrs	238
The number of human resources assistants in Vermont	r=0.95	20yrs	238
Jet fuel used in Germany, West	r=0.94	11yrs	236
Ticket sales for Arizona Diamondbacks games	r=0.85	22yrs	232
Robberies in California	r=0.92	38yrs	230
The number of data entry keyers in Washington	r=0.95	20yrs	228
Robberies in Connecticut	r=0.92	38yrs	220
The number of switchboard operators in California	r=0.94	20yrs	217
Robberies in Connecticut	r=0.92	38yrs	210
The number of computer programmers in Colorado	r=0.93	20yrs	207
Burglaries in Florida	r=0.91	38yrs	198
The number of advertising and promotions managers in District of Columbia	r=0.94	20yrs	197
Motor vehicle thefts in Oklahoma	r=0.91	38yrs	188
The number of human resources assistants in Illinois	r=0.94	20yrs	187
The number of switchboard operators in Indiana	r=0.94	20yrs	177
The divorce rate in North Dakota	r=0.85	23yrs	173
The number of typists in Iowa	r=0.94	20yrs	167
The marriage rate in Missouri	r=0.85	23yrs	162
The marriage rate in Kentucky	r=0.84	23yrs	150
The marriage rate in Nevada	r=0.84	23yrs	140
Jet fuel used in French Polynesia	r=0.83	42yrs	136
The marriage rate in North Carolina	r=0.84	23yrs	130
Petroluem consumption in North Korea	r=0.83	42yrs	126
Kerosene used in North Korea	r=0.83	42yrs	116
Kerosene used in Egypt	r=0.82	42yrs	104
Petroluem consumption in Saint Pierre and Miquelon	r=0.79	42yrs	90
Kerosene used in Zambia	r=0.79	42yrs	80
Kerosene used in Argentina	r=0.77	42yrs	67
Petroluem consumption in Uzbekistan	r=0.85	30yrs	57
Petroluem consumption in Armenia	r=0.84	30yrs	46

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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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