Top variables that correlate with Popularity of the first name Latisha

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

Variable	Correlation	Years	Has img?
Google searches for 'why isnt 11 pronounced onety one'	r=0.75	19yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.98	43yrs	434
Kerosene used in Mexico	r=0.97	40yrs	430
Kerosene used in Venezuela	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.94	43yrs	423
Carjackings in the US	r=0.95	27yrs	423
Arson in New York	r=0.99	38yrs	420
Burglaries in New York	r=0.97	38yrs	417
The marriage rate in Nevada	r=0.97	23yrs	414
Google searches for 'learn spanish'	r=0.96	19yrs	410
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in San Diego, California	r=0.97	43yrs	398
US household spending on books	r=0.96	23yrs	393
The number of floral designers in Kentucky	r=0.97	20yrs	392
The number of file clerks in Michigan	r=0.97	20yrs	392
The number of advertising and promotions managers in Puerto Rico	r=0.97	20yrs	392
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	388
Burglaries in California	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.92	48yrs	384
Physical album shipment volume in the United States	r=0.94	24yrs	381
US birth rates of triplets or more	r=0.91	20yrs	380
The distance between Neptune and Earth	r=0.9	48yrs	380
The distance between Neptune and the moon	r=0.9	48yrs	380
The marriage rate in Idaho	r=0.94	23yrs	380
The marriage rate in Tennessee	r=0.94	23yrs	380
GMO use in corn grown in South Dakota	r=0.96	23yrs	379
Google searches for 'black holes'	r=0.95	19yrs	379
GMO use in cotton in North Carolina	r=0.97	23yrs	378
Google searches for 'snoop dog'	r=0.94	19yrs	378
Burglaries in Colorado	r=0.96	38yrs	376
The wind speed in Nashville	r=0.91	39yrs	373
The wind speed in San Diego	r=0.91	39yrs	373
The wind speed in Austin	r=0.9	39yrs	372
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Robberies in Oregon	r=0.96	38yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in Los Angeles	r=0.93	43yrs	364
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	363
Highest Nielsen rating for a TV show each year	r=0.86	46yrs	361
AIG's stock price (AIG)	r=0.89	21yrs	360
The number of typists in Florida	r=0.96	20yrs	360
Gasoline pumped in Bulgaria	r=0.94	42yrs	358
The number of typists in Indiana	r=0.96	20yrs	350
The divorce rate in Alabama	r=0.93	23yrs	350
US milk fat used to produce fluid beverage milk	r=0.94	22yrs	349
Kerosene used in Ecuador	r=0.94	42yrs	348
The number of typists in Iowa	r=0.96	20yrs	340
The divorce rate in Tennessee	r=0.93	23yrs	340
Kerosene used in Uruguay	r=0.93	42yrs	336
Air pollution in Oxnard, California	r=0.95	41yrs	332
The number of typists in Maine	r=0.96	20yrs	330
Frozen yogurt consumption	r=0.9	32yrs	330
The marriage rate in Arizona	r=0.93	23yrs	328
Kerosene used in Portugal	r=0.91	43yrs	324
Burglaries in Connecticut	r=0.94	38yrs	322
Air pollution in San Diego, California	r=0.92	43yrs	320
The number of postal service machine operators in Massachusetts	r=0.96	20yrs	320
The marriage rate in Ohio	r=0.93	23yrs	318
Kerosene used in Hong Kong	r=0.91	42yrs	313
Motor vehicle thefts in Massachusetts	r=0.94	38yrs	312
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	310
The marriage rate in Alabama	r=0.92	23yrs	307
Petroluem consumption in Romania	r=0.91	42yrs	303
Robberies in New York	r=0.94	38yrs	302
The number of sewing machine operators in North Carolina	r=0.96	20yrs	300
The marriage rate in Kentucky	r=0.92	23yrs	297
Gasoline pumped in Somalia	r=0.91	42yrs	293
Burglaries in Montana	r=0.93	38yrs	291
The number of cutters and trimmers, hand in North Carolina	r=0.96	20yrs	290
The marriage rate in Virginia	r=0.92	23yrs	287
Gasoline pumped in Cuba	r=0.9	42yrs	282
Burglaries in Oregon	r=0.93	38yrs	281
The number of typists in Ohio	r=0.96	20yrs	280
The marriage rate in Arkansas	r=0.91	23yrs	276
Kerosene used in Cuba	r=0.9	42yrs	272
Motor vehicle thefts in Oklahoma	r=0.93	38yrs	271
The number of brickmasons in Ohio	r=0.96	20yrs	270
The marriage rate in South Carolina	r=0.91	23yrs	266
The number of sewing machine operators in Pennsylvania	r=0.96	20yrs	260
Arson in Colorado	r=0.92	38yrs	260
Jet fuel used in Ukraine	r=0.94	30yrs	256
The marriage rate in Wyoming	r=0.91	23yrs	256
The number of prepress technicians and workers in Wisconsin	r=0.96	20yrs	250
Burglaries in Rhode Island	r=0.92	38yrs	250
Petroluem consumption in Belarus	r=0.93	30yrs	244
The number of professional painters in Puerto Rico	r=0.96	20yrs	240
Robberies in Michigan	r=0.92	38yrs	240
Petroluem consumption in Ukraine	r=0.93	30yrs	234
The number of compensation and benefits managers in Illinois	r=0.96	19yrs	229
Burglaries in Oklahoma	r=0.91	38yrs	228
Petroluem consumption in Azerbaijan	r=0.92	30yrs	222
The number of compensation and benefits managers in Indiana	r=0.96	19yrs	219
Burglaries in Texas	r=0.91	38yrs	218
The number of compensation and benefits managers in South Carolina	r=0.96	19yrs	209
Liquefied petroleum gas used in Greenland	r=0.95	22yrs	209
Arson in California	r=0.9	38yrs	206
The number of brickmasons in Alabama	r=0.95	20yrs	198
Burglaries in Florida	r=0.9	38yrs	196
Jet fuel used in Saint Vincent/Grenadines	r=0.92	24yrs	196
Burglaries in Massachusetts	r=0.9	38yrs	186
Kerosene used in Argentina	r=0.9	42yrs	172

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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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