Top variables that correlate with Popularity of the first name Latasha

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

Variable	Correlation	Years	Sys. Score
Average number of milk cows in the United States	r=0.96	43yrs	456
Kerosene used in Mexico	r=0.99	40yrs	433
Kerosene used in Turkiye	r=0.97	43yrs	433
Petroluem consumption in Bulgaria	r=0.97	42yrs	432
Carjackings in the US	r=0.96	27yrs	424
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.97	23yrs	414
The divorce rate in Alabama	r=0.96	23yrs	414
Burglaries in Colorado	r=0.95	38yrs	414
The marriage rate in Idaho	r=0.96	23yrs	413
Number of edits to the Wikipedia article for Thanksgiving	r=0.91	16yrs	393
The number of prepress technicians and workers in Illinois	r=0.97	20yrs	392
US household spending on books	r=0.95	23yrs	392
The number of telemarketers in California	r=0.95	20yrs	390
The number of postal service machine operators in Minnesota	r=0.96	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Petroluem consumption in Ukraine	r=0.96	30yrs	388
The marriage rate in Tennessee	r=0.96	23yrs	383
Arson in New York	r=0.94	38yrs	382
US birth rates of triplets or more	r=0.91	20yrs	380
Popularity of the 'all your base' meme	r=0.93	17yrs	380
Google searches for 'learn spanish'	r=0.94	19yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
Petroluem consumption in Belarus	r=0.95	30yrs	377
The marriage rate in Arizona	r=0.95	23yrs	372
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in Los Angeles	r=0.91	43yrs	362
The number of typists in North Carolina	r=0.96	20yrs	360
Highest Nielsen rating for a TV show each year	r=0.85	46yrs	360
AIG's stock price (AIG)	r=0.89	21yrs	360
Air pollution in Manchester, New Hampshire	r=0.92	43yrs	360
Air pollution in San Diego, California	r=0.92	43yrs	360
Citigroup's stock price (C)	r=0.88	21yrs	359
Lloyds Banking Group's stock price (LYG)	r=0.87	21yrs	358
GMO use in cotton	r=0.9	23yrs	357
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothing for men	r=0.91	23yrs	356
US household spending on processed fruits	r=0.9	23yrs	354
US household spending on clothin for women	r=0.9	23yrs	354
Burglaries in Oregon	r=0.94	38yrs	352
The number of CEOs in Ohio	r=0.95	20yrs	350
US milk fat used to produce fluid beverage milk	r=0.94	22yrs	349
Google searches for 'report UFO sighting'	r=0.9	19yrs	348
Gasoline pumped in Bulgaria	r=0.94	42yrs	348
The distance between Neptune and Mercury	r=0.87	48yrs	346
The distance between Neptune and Earth	r=0.86	48yrs	344
The distance between Neptune and the moon	r=0.86	48yrs	344
Burglaries in Washington	r=0.93	38yrs	341
The number of typists in Alabama	r=0.95	20yrs	338
Kerosene used in Bolivia	r=0.93	42yrs	336
The divorce rate in Tennessee	r=0.94	23yrs	332
Robberies in Oregon	r=0.93	38yrs	331
Air pollution in Norwich, Connecticut	r=0.93	42yrs	330
The number of brickmasons in Alabama	r=0.95	20yrs	328
Kerosene used in Ecuador	r=0.93	42yrs	326
The marriage rate in Arkansas	r=0.94	23yrs	320
Air pollution in Medford, Oregon	r=0.91	43yrs	318
The number of postal service machine operators in California	r=0.95	20yrs	318
Burglaries in New York	r=0.91	38yrs	318
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	318
Kerosene used in Romania	r=0.93	42yrs	316
The number of postal service machine operators in Colorado	r=0.95	20yrs	308
The marriage rate in Alabama	r=0.93	23yrs	308
Burglaries in Texas	r=0.91	38yrs	308
Air pollution in Oxnard, California	r=0.91	41yrs	306
Kerosene used in Portugal	r=0.91	43yrs	304
The number of postal service machine operators in Connecticut	r=0.95	20yrs	298
The marriage rate in Ohio	r=0.93	23yrs	298
Burglaries in California	r=0.91	38yrs	298
Kerosene used in U.S. Pacific Islands	r=0.92	42yrs	294
The number of postal service machine operators in Illinois	r=0.95	20yrs	288
The marriage rate in South Carolina	r=0.93	23yrs	288
Gasoline pumped in Somalia	r=0.91	42yrs	283
The number of typists in Indiana	r=0.95	20yrs	278
The marriage rate in Virginia	r=0.93	23yrs	278
Arson in Idaho	r=0.92	22yrs	274
The number of conveyor operators in New Jersey	r=0.95	20yrs	268
The marriage rate in Wyoming	r=0.93	23yrs	268
Jet fuel used in Ukraine	r=0.95	30yrs	267
The number of postal service machine operators in New York	r=0.95	20yrs	258
The divorce rate in North Carolina	r=0.92	23yrs	258
Kerosene used in French Polynesia	r=0.9	32yrs	252
The number of prepress technicians and workers in Wisconsin	r=0.95	20yrs	248
The marriage rate in South Dakota	r=0.92	23yrs	247
Burglaries in Oklahoma	r=0.89	38yrs	245
Petroluem consumption in Azerbaijan	r=0.91	30yrs	241
The number of postal service machine operators in District of Columbia	r=0.95	19yrs	238
The marriage rate in Kentucky	r=0.91	23yrs	236
Motor vehicle thefts in Oklahoma	r=0.89	38yrs	235
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	226
Geothermal power generated in Austria	r=0.92	17yrs	212
The number of typists in Arizona	r=0.95	20yrs	198
The divorce rate in Kentucky	r=0.9	23yrs	196
Kerosene used in Venezuela	r=0.9	42yrs	192
The number of file clerks in Illinois	r=0.95	20yrs	188
The divorce rate in Wyoming	r=0.9	23yrs	186
Kerosene used in Italy	r=0.89	43yrs	181
The number of postal service machine operators in Indiana	r=0.95	20yrs	178
Kerosene used in Hong Kong	r=0.89	42yrs	170
The number of postal service machine operators in Iowa	r=0.95	20yrs	168

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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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