Top variables that correlate with Popularity of the first name Nikole

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.96	38yrs	436
Robberies in the US	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Violent crime rates	r=0.94	38yrs	422
NASA's budget as a percentage of the total US Federal Budget	r=0.92	48yrs	408
Gasoline pumped in Austria	r=0.93	43yrs	397
Gasoline pumped in France	r=0.92	43yrs	396
Kerosene used in Egypt	r=0.92	42yrs	394
Arson in Texas	r=0.96	38yrs	386
The divorce rate in New Hampshire	r=0.93	23yrs	380
The divorce rate in Ohio	r=0.93	23yrs	380
The divorce rate in Tennessee	r=0.93	23yrs	380
Burglaries in New Jersey	r=0.96	38yrs	376
The wind speed in Austin	r=0.93	39yrs	376
Physical album shipment volume in the United States	r=0.9	24yrs	375
Milk consumption	r=0.92	32yrs	375
Frozen yogurt consumption	r=0.92	32yrs	374
The wind speed in San Diego	r=0.9	39yrs	372
Burglaries in District of Columbia	r=0.96	38yrs	366
Viewership count for Days of Our Lives	r=0.85	47yrs	365
Kerosene used in Argentina	r=0.91	42yrs	363
Air pollution in Santa Maria, California	r=0.92	43yrs	360
The number of bill collectors in Illinois	r=0.93	20yrs	357
Robberies in New Jersey	r=0.96	38yrs	356
The number of human resources assistants in Indiana	r=0.93	20yrs	356
The number of dining room and cafeteria attendants in Wisconsin	r=0.93	20yrs	356
US household spending on clothing for men	r=0.9	23yrs	354
Kerosene used in Pakistan	r=0.91	42yrs	353
The marriage rate in Arkansas	r=0.92	23yrs	347
The distance between Neptune and the Sun	r=0.87	48yrs	346
The distance between Neptune and Earth	r=0.87	48yrs	346
The distance between Neptune and the moon	r=0.87	48yrs	346
Arson in New Jersey	r=0.95	38yrs	344
US birth rates of triplets or more	r=0.87	20yrs	344
Kerosene used in Thailand	r=0.91	42yrs	343
Cigarette Smoking Rate for US adults	r=0.89	21yrs	340
Cottage cheese consumption	r=0.89	32yrs	339
The marriage rate in Minnesota	r=0.92	23yrs	337
Google searches for 'xbox'	r=0.86	19yrs	336
Burglaries in Kansas	r=0.95	38yrs	334
The marriage rate in South Dakota	r=0.92	23yrs	327
Burglaries in Maryland	r=0.95	38yrs	324
The number of file clerks in California	r=0.92	20yrs	324
US household spending on clothing	r=0.9	23yrs	324
Air pollution in Oxnard, California	r=0.88	43yrs	324
Air pollution in Washington, D.C.	r=0.86	43yrs	324
US household spending on clothin for women	r=0.89	23yrs	322
US household spending on books	r=0.89	23yrs	322
The divorce rate in Illinois	r=0.91	23yrs	317
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	314
The number of tool and die makers in Maryland	r=0.92	20yrs	314
The divorce rate in Maine	r=0.91	23yrs	307
Motor vehicle thefts in New Jersey	r=0.95	38yrs	304
The number of switchboard operators in Oregon	r=0.92	20yrs	304
Gasoline pumped in United Kingdom	r=0.9	43yrs	302
The divorce rate in North Carolina	r=0.91	23yrs	297
Carjackings in the US	r=0.9	27yrs	296
Robberies in Illinois	r=0.95	38yrs	294
The number of switchboard operators in Pennsylvania	r=0.92	20yrs	294
Air pollution in Riverside, California	r=0.87	43yrs	292
Petroluem consumption in North Korea	r=0.89	42yrs	290
The divorce rate in Washington	r=0.91	23yrs	287
Robberies in Washington	r=0.95	38yrs	284
The number of bill collectors in Washington	r=0.91	20yrs	284
Air pollution in Steamboat Springs, Colorado	r=0.9	38yrs	282
Kerosene used in North Korea	r=0.89	42yrs	280
The marriage rate in Texas	r=0.91	23yrs	276
Robberies in Connecticut	r=0.95	38yrs	274
The number of bill collectors in Alabama	r=0.9	20yrs	272
Kerosene used in Cuba	r=0.87	42yrs	267
The divorce rate in Florida	r=0.9	23yrs	266
Robberies in Connecticut	r=0.95	38yrs	264
The number of middle school special education teachers in Connecticut	r=0.91	20yrs	262
The divorce rate in Oregon	r=0.9	23yrs	256
Kerosene used in Peru	r=0.86	42yrs	256
The number of data entry keyers in Maine	r=0.91	20yrs	252
Customer satisfaction with Frontier Communications	r=0.81	28yrs	252
The divorce rate in Virginia	r=0.9	23yrs	246
Kerosene used in Puerto Rico	r=0.86	42yrs	246
The number of switchboard operators in Massachusetts	r=0.91	20yrs	242
Burglary rates in the US	r=0.93	38yrs	241
The marriage rate in Louisiana	r=0.9	23yrs	234
Kerosene used in Macau	r=0.85	42yrs	234
The number of human resources assistants in Massachusetts	r=0.91	20yrs	232
Motor vehicle thefts	r=0.93	38yrs	231
The marriage rate in Nevada	r=0.9	23yrs	224
The number of CEOs in Michigan	r=0.9	20yrs	222
Petroluem consumption in Germany	r=0.9	32yrs	222
The marriage rate in Virginia	r=0.9	23yrs	214
The number of file clerks in Minnesota	r=0.91	20yrs	212
Gasoline pumped in Germany	r=0.89	32yrs	210
The number of payroll and timekeeping clerks in Vermont	r=0.91	20yrs	202
Burglaries in Florida	r=0.95	38yrs	194
Gasoline pumped in Latvia	r=0.86	31yrs	194
The number of city bus drivers in Guam	r=0.9	19yrs	192
The number of switchboard operators in Puerto Rico	r=0.91	20yrs	182
The divorce rate in Kentucky	r=0.9	23yrs	176
The number of switchboard operators in Minnesota	r=0.9	20yrs	171
The divorce rate in Wyoming	r=0.9	23yrs	166
The number of payroll and timekeeping clerks in Mississippi	r=0.9	20yrs	161
The marriage rate in Delaware	r=0.9	23yrs	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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