Top variables that correlate with Popularity of the first name Nakia

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

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Germany	r=0.97	32yrs	422
Petroluem consumption in Germany	r=0.96	32yrs	420
Physical album shipment volume in the United States	r=0.97	24yrs	416
The marriage rate in Nevada	r=0.98	23yrs	416
The divorce rate in Alabama	r=0.96	23yrs	414
Liquefied petroleum gas used in Greenland	r=0.98	22yrs	414
The marriage rate in Idaho	r=0.96	23yrs	413
Google searches for 'learn spanish'	r=0.96	19yrs	410
Google searches for 'black holes'	r=0.96	19yrs	410
AIG's stock price (AIG)	r=0.92	21yrs	395
The number of sewing machine operators in Pennsylvania	r=0.98	20yrs	393
The number of brickmasons in Alabama	r=0.97	20yrs	392
The number of sewing machine operators in Alabama	r=0.97	20yrs	392
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
Carjackings in the US	r=0.91	27yrs	387
The marriage rate in Tennessee	r=0.95	23yrs	382
US birth rates of triplets or more	r=0.92	20yrs	382
Arson in Oregon	r=0.93	38yrs	381
US milk fat used to produce fluid beverage milk	r=0.95	22yrs	380
Google searches for 'report UFO sighting'	r=0.92	19yrs	380
Arson in New Jersey	r=0.92	38yrs	380
GMO use in cotton in North Carolina	r=0.97	23yrs	378
Google searches for 'snoop dog'	r=0.91	19yrs	373
The marriage rate in Wyoming	r=0.95	23yrs	372
Kerosene used globally	r=0.94	42yrs	368
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
US household spending on books	r=0.95	23yrs	362
The number of prepress technicians and workers in Illinois	r=0.97	20yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
Citigroup's stock price (C)	r=0.88	21yrs	359
Air pollution in Philadelphia, Pennsylvania	r=0.91	43yrs	358
GMO use in cotton	r=0.9	23yrs	357
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
US household spending on beef	r=0.91	23yrs	356
US household spending on processed fruits	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
The number of postal service machine operators in Louisiana	r=0.97	20yrs	352
Petroluem consumption in Denmark	r=0.9	43yrs	352
Arson in Washington	r=0.92	38yrs	350
GMO use in corn grown in South Dakota	r=0.94	23yrs	346
Milk consumption	r=0.9	32yrs	342
The number of postal service machine operators in Massachusetts	r=0.97	20yrs	342
Gasoline pumped in France	r=0.9	43yrs	342
Google searches for 'Britney Spears'	r=0.92	15yrs	340
Motor vehicle thefts in Michigan	r=0.92	38yrs	340
The number of payroll and timekeeping clerks in Michigan	r=0.97	20yrs	332
The divorce rate in Tennessee	r=0.94	23yrs	332
Google searches for 'desktop background'	r=0.9	16yrs	328
Arson in North Carolina	r=0.91	38yrs	328
The number of postal service machine operators in Minnesota	r=0.97	20yrs	322
Petroluem consumption in Uzbekistan	r=0.92	30yrs	322
The marriage rate in Alabama	r=0.94	23yrs	320
Arson in Rhode Island	r=0.91	38yrs	318
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	314
The number of floral designers in North Carolina	r=0.97	20yrs	312
The divorce rate in North Carolina	r=0.93	23yrs	310
Arson in Texas	r=0.91	38yrs	308
The number of postal service machine operators in Ohio	r=0.97	20yrs	302
Geothermal power generated in Austria	r=0.91	17yrs	301
The marriage rate in Arizona	r=0.93	23yrs	298
Arson in Connecticut	r=0.91	38yrs	298
The number of data entry keyers in Alabama	r=0.96	20yrs	290
The marriage rate in Arkansas	r=0.93	23yrs	288
Kerosene used in Thailand	r=0.89	42yrs	280
The number of file clerks in Arkansas	r=0.96	20yrs	280
The marriage rate in Virginia	r=0.93	23yrs	278
Arson in United States	r=0.9	38yrs	276
The number of telemarketers in California	r=0.95	20yrs	270
Kerosene used in United States	r=0.87	43yrs	268
The marriage rate in Ohio	r=0.92	23yrs	267
The number of postal service machine operators in California	r=0.96	20yrs	260
Motor vehicle thefts	r=0.85	38yrs	259
Petroluem consumption in Nauru	r=0.87	42yrs	257
The marriage rate in South Dakota	r=0.92	23yrs	257
The number of postal service machine operators in Connecticut	r=0.96	20yrs	250
Gasoline pumped in Austria	r=0.86	43yrs	246
The marriage rate in Kentucky	r=0.91	23yrs	246
The number of file clerks in Illinois	r=0.96	20yrs	240
Kerosene used in Peru	r=0.86	42yrs	236
Burglaries in Utah	r=0.9	38yrs	236
The marriage rate in South Carolina	r=0.91	23yrs	236
The number of postal service machine operators in Illinois	r=0.96	20yrs	230
The divorce rate in Kentucky	r=0.9	23yrs	226
Burglaries in Wyoming	r=0.9	38yrs	226
Kerosene used in China	r=0.85	42yrs	224
The number of postal service machine operators in Indiana	r=0.96	20yrs	220
Arson in Maryland	r=0.89	38yrs	215
Gasoline pumped in Lithuania	r=0.9	31yrs	210
The number of typists in Iowa	r=0.96	20yrs	210
Arson in Nevada	r=0.89	38yrs	205
The number of postal service machine operators in Kansas	r=0.96	20yrs	200
Fossil fuel use in Slovakia	r=0.86	29yrs	196
Arson in California	r=0.89	38yrs	195
Burglaries in Maryland	r=0.89	38yrs	185
The divorce rate in Wyoming	r=0.89	23yrs	184
Gasoline pumped in Latvia	r=0.86	31yrs	184
Motor vehicle thefts in Illinois	r=0.89	38yrs	175
Motor vehicle thefts in Florida	r=0.89	38yrs	165
Motor vehicle thefts in Tennessee	r=0.88	38yrs	154

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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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