Top variables that correlate with Popularity of the first name Najee

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.95	27yrs	423
Gasoline pumped in Germany	r=0.93	32yrs	386
Gasoline pumped in Eritrea	r=0.91	28yrs	379
Ticket sales for Arizona Diamondbacks games	r=0.92	22yrs	378
The marriage rate in Nevada	r=0.93	23yrs	378
The marriage rate in Tennessee	r=0.93	23yrs	378
The marriage rate in Arizona	r=0.92	23yrs	377
Jet fuel used in Saint Vincent/Grenadines	r=0.92	24yrs	376
Frozen yogurt consumption	r=0.92	32yrs	374
US Hospital Occupancy Rate	r=0.92	18yrs	372
Customer satisfaction with Verizon	r=0.89	28yrs	369
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
The number of advertising and promotions managers in Alaska	r=0.94	18yrs	355
The number of prepress technicians and workers in Alabama	r=0.92	20yrs	354
The number of crane operators in Ohio	r=0.92	20yrs	354
The marriage rate in South Carolina	r=0.92	23yrs	347
Motor vehicle thefts in Louisiana	r=0.87	38yrs	342
Physical album shipment volume in the United States	r=0.87	24yrs	340
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	340
GMO use in cotton in North Carolina	r=0.92	23yrs	340
Arson in Pennsylvania	r=0.86	38yrs	340
The marriage rate in Ohio	r=0.91	23yrs	336
Gasoline pumped in Turkiye	r=0.87	43yrs	328
US household spending on books	r=0.9	23yrs	324
The number of data entry keyers in Illinois	r=0.9	20yrs	321
US household spending on processed fruits	r=0.87	23yrs	320
US average milk-fat content of frozen dairy products	r=0.89	22yrs	318
US household spending on beef	r=0.86	23yrs	318
US household spending on transportation	r=0.86	23yrs	318
Gasoline pumped in Spain	r=0.86	43yrs	316
US household spending on clothing for men	r=0.85	23yrs	316
Air pollution in Ithaca	r=0.87	33yrs	316
Air pollution in St. Marys, Pennsylvania	r=0.89	33yrs	316
Air pollution in Ithaca	r=0.87	32yrs	314
GMO use in corn grown in South Dakota	r=0.88	23yrs	307
Kerosene used in Belgium	r=0.85	39yrs	301
GMO use in cotton in Georgia	r=0.85	23yrs	300
The divorce rate in Alabama	r=0.89	23yrs	294
Petroluem consumption in Germany	r=0.88	32yrs	288
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.87	22yrs	286
The divorce rate in Tennessee	r=0.89	23yrs	284
The number of food service managers in Maryland	r=0.89	20yrs	280
Petroluem consumption in Uzbekistan	r=0.89	30yrs	278
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.86	22yrs	274
The marriage rate in Idaho	r=0.88	23yrs	271
The number of postal service machine operators in Maryland	r=0.89	20yrs	270
Gasoline pumped in Lithuania	r=0.87	31yrs	266
The marriage rate in Alabama	r=0.87	23yrs	260
The number of telephone operators in Texas	r=0.9	19yrs	260
NASA's budget appropriation	r=0.83	46yrs	258
Gasoline pumped in North Macedonia	r=0.86	30yrs	254
The marriage rate in Arkansas	r=0.87	23yrs	250
The number of welders in Puerto Rico	r=0.89	20yrs	250
Ticket sales for Baltimore Orioles games	r=0.8	43yrs	246
AIG's stock price (AIG)	r=0.82	21yrs	245
Lloyds Banking Group's stock price (LYG)	r=0.81	21yrs	244
Customer satisfaction with Walmart	r=0.76	27yrs	244
Remaining Forest Cover in the Brazilian Amazon	r=0.8	36yrs	243
The marriage rate in Kentucky	r=0.87	23yrs	240
The number of machinists in Maine	r=0.88	20yrs	238
Liquefied petroleum gas used in Greenland	r=0.87	22yrs	237
Violent crime rates	r=0.8	38yrs	236
Disney movies released	r=0.81	23yrs	233
The marriage rate in Virginia	r=0.87	23yrs	230
Ticket sales for Colorado Rockies games	r=0.8	27yrs	230
The number of prepress technicians and workers in Maine	r=0.88	20yrs	228
The marriage rate in Missouri	r=0.86	23yrs	218
The number of tool and die makers in Massachusetts	r=0.88	20yrs	218
The marriage rate in Wyoming	r=0.86	23yrs	208
The number of floral designers in Michigan	r=0.88	20yrs	208
Motor vehicle thefts	r=0.76	38yrs	200
The divorce rate in North Carolina	r=0.85	23yrs	198
The number of office clerks in Minnesota	r=0.88	20yrs	198
The number of brickmasons in Mississippi	r=0.88	20yrs	188
The marriage rate in North Carolina	r=0.85	23yrs	186
Robberies in the US	r=0.7	38yrs	182
The number of postal service machine operators in New Hampshire	r=0.88	20yrs	178
Motor vehicle thefts in Indiana	r=0.83	38yrs	171
The number of prepress technicians and workers in New Jersey	r=0.88	20yrs	168
Motor vehicle thefts in Florida	r=0.83	38yrs	161
The number of floral designers in Ohio	r=0.88	20yrs	158
Robberies in Kansas	r=0.83	38yrs	151
The number of cashiers in Ohio	r=0.88	20yrs	148
Robberies in Maryland	r=0.83	38yrs	141
The number of elementary school teachers in Rhode Island	r=0.88	20yrs	138
Biomass power generated in Jamaica	r=0.81	42yrs	136
Robberies in South Carolina	r=0.83	38yrs	131
The number of postal service machine operators in Rhode Island	r=0.88	20yrs	128
Robberies in Louisiana	r=0.82	38yrs	120
Petroluem consumption in Djibouti	r=0.78	42yrs	118
Robberies in North Carolina	r=0.82	38yrs	110
Gasoline pumped in Italy	r=0.77	43yrs	108
Petroluem consumption in Azerbaijan	r=0.85	30yrs	97
Gasoline pumped in Mauritania	r=0.77	42yrs	87
Kerosene used in Philippines	r=0.77	42yrs	77
The marriage rate in Wisconsin	r=0.85	23yrs	72
Jet fuel used in Ukraine	r=0.85	30yrs	67
The marriage rate in South Dakota	r=0.84	23yrs	60
Fossil fuel use in Greenland	r=0.74	42yrs	56
The divorce rate in New Hampshire	r=0.82	23yrs	48
Nuclear power generation in United Kingdom	r=0.74	42yrs	46

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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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