Top variables that correlate with Popularity of the first name Kala

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Carjackings in the US	r=0.97	27yrs	426
Violent crime rates	r=0.93	38yrs	421
Motor vehicle thefts in New York	r=0.98	38yrs	418
The marriage rate in Tennessee	r=0.96	23yrs	413
Kerosene used in Pakistan	r=0.91	42yrs	393
Motor vehicle thefts in New Jersey	r=0.97	38yrs	387
Petroluem consumption in Uzbekistan	r=0.93	30yrs	384
Petroluem consumption in Azerbaijan	r=0.91	30yrs	381
The marriage rate in Ohio	r=0.94	23yrs	380
Frozen yogurt consumption	r=0.95	32yrs	378
Ticket sales for Arizona Diamondbacks games	r=0.92	22yrs	378
The marriage rate in Arizona	r=0.92	23yrs	377
Motor vehicle thefts in Texas	r=0.96	38yrs	376
The wind speed in Austin	r=0.92	39yrs	374
The wind speed in San Diego	r=0.9	39yrs	372
The wind speed in Washington, D.C.	r=0.9	38yrs	370
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
US household spending on books	r=0.95	23yrs	362
Air pollution in Santa Maria, California	r=0.91	42yrs	358
The number of fiberglass laminators and fabricators in New York	r=0.94	20yrs	357
The number of file clerks in Oklahoma	r=0.94	20yrs	357
The number of data entry keyers in Washington	r=0.94	20yrs	357
Motor vehicle thefts in Texas	r=0.96	38yrs	356
US household spending on beef	r=0.91	23yrs	356
The marriage rate in Nevada	r=0.92	23yrs	347
Per capita consumption of margarine	r=0.96	10yrs	347
Robberies in New York	r=0.96	38yrs	346
Physical album shipment volume in the United States	r=0.9	24yrs	345
Google searches for 'black holes'	r=0.9	19yrs	342
Google searches for 'learn spanish'	r=0.89	19yrs	340
Total annual sales of Ford Motors in the United States	r=0.88	23yrs	338
The marriage rate in South Carolina	r=0.92	23yrs	337
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	337
Cottage cheese consumption	r=0.87	32yrs	336
Burglaries in District of Columbia	r=0.95	38yrs	334
US Hospital Occupancy Rate	r=0.87	18yrs	334
Kerosene used in Egypt	r=0.89	42yrs	330
The divorce rate in Tennessee	r=0.91	23yrs	327
The number of file clerks in Georgia	r=0.93	20yrs	326
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	324
US household spending on processed fruits	r=0.89	23yrs	322
Air pollution in Santa Maria, California	r=0.87	43yrs	322
US household spending on clothing for men	r=0.88	23yrs	321
Annual US household spending on books	r=0.87	23yrs	320
Air pollution in Santa Maria, California	r=0.87	41yrs	320
US household spending on meats, poultry, fish, and eggs	r=0.86	23yrs	318
US household spending on clothing	r=0.86	23yrs	318
Jet fuel used in Afghanistan	r=0.87	42yrs	317
The number of typists in Iowa	r=0.93	20yrs	316
The wind speed in Boston	r=0.9	39yrs	312
The number of typists in Maine	r=0.93	20yrs	306
Petroluem consumption in North Korea	r=0.86	42yrs	306
Motor vehicle thefts	r=0.92	38yrs	300
The number of cashiers in Michigan	r=0.93	20yrs	296
Kerosene used in North Korea	r=0.86	42yrs	296
The wind speed in Milwaukee	r=0.85	39yrs	294
Robberies in the US	r=0.92	38yrs	290
Air pollution in Steamboat Springs, Colorado	r=0.89	38yrs	290
The number of file clerks in Michigan	r=0.93	20yrs	286
The divorce rate in Alabama	r=0.89	23yrs	284
Gasoline pumped in Germany	r=0.9	32yrs	282
Arson in United States	r=0.91	38yrs	278
The number of typists in Michigan	r=0.93	20yrs	276
The marriage rate in Arkansas	r=0.88	23yrs	271
Jet fuel used in Ukraine	r=0.9	30yrs	270
The wind speed in Los Angeles	r=0.87	22yrs	270
The number of brickmasons in Mississippi	r=0.93	20yrs	266
The marriage rate in Virginia	r=0.88	23yrs	261
The number of postal service clerks in Rhode Island	r=0.93	20yrs	256
Customer satisfaction with Walmart	r=0.84	27yrs	256
Burglaries in Connecticut	r=0.95	38yrs	254
Petroluem consumption in Ukraine	r=0.85	30yrs	252
The marriage rate in Idaho	r=0.87	23yrs	250
The number of advertising and promotions managers in South Carolina	r=0.93	20yrs	246
Burglaries in New York	r=0.94	38yrs	242
The marriage rate in Kentucky	r=0.87	23yrs	240
Gasoline pumped in Eritrea	r=0.85	28yrs	240
The number of carpet installers in Wisconsin	r=0.92	20yrs	236
Motor vehicle thefts in Rhode Island	r=0.94	38yrs	232
The marriage rate in Missouri	r=0.87	23yrs	230
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	227
The number of ticket agents in Alabama	r=0.92	20yrs	224
Motor vehicle thefts in Maine	r=0.93	38yrs	221
The marriage rate in South Dakota	r=0.87	23yrs	220
Jet fuel used in Saint Vincent/Grenadines	r=0.85	24yrs	216
The number of sheet metal workers in California	r=0.92	20yrs	214
Motor vehicle thefts in Pennsylvania	r=0.93	38yrs	211
The marriage rate in North Carolina	r=0.86	23yrs	208
The number of upholsterers in California	r=0.92	20yrs	204
Motor vehicle thefts in Illinois	r=0.93	38yrs	201
The marriage rate in Wisconsin	r=0.86	23yrs	198
The number of floral designers in Kentucky	r=0.92	20yrs	194
Robberies in Washington	r=0.93	38yrs	191
The marriage rate in Wyoming	r=0.85	23yrs	186
The number of couriers and messengers in Kentucky	r=0.92	20yrs	184
The number of sewing machine operators in Louisiana	r=0.92	20yrs	174
The number of tapers in Michigan	r=0.93	19yrs	164
Kerosene used in Macau	r=0.84	42yrs	118

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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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