Top variables that correlate with Popularity of the first name Zhane

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

Variable	Correlation	Years	Has img?
Arson in Massachusetts	r=0.86	30yrs	No
National Lacrosse League Finalist Score Difference	r=0.59	30yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.95	27yrs	393
AIG's stock price (AIG)	r=0.86	21yrs	356
The marriage rate in Arizona	r=0.9	23yrs	344
Jet fuel used in Saint Vincent/Grenadines	r=0.89	24yrs	342
The marriage rate in Tennessee	r=0.88	23yrs	341
The marriage rate in Ohio	r=0.87	23yrs	340
Votes for the Democratic Presidential candidate in Louisiana	r=0.97	7yrs	332
The number of security guards in Minnesota	r=0.89	20yrs	320
US household spending on books	r=0.87	23yrs	320
The number of conveyor operators in California	r=0.88	20yrs	318
The number of typists in Maine	r=0.88	20yrs	318
The divorce rate in Tennessee	r=0.85	23yrs	308
Air pollution in El Centro, California	r=0.86	30yrs	308
Air pollution in El Centro, California	r=0.85	30yrs	306
Votes for Republican Senators in Tennessee	r=0.91	10yrs	294
The number of CEOs in New Jersey	r=0.87	20yrs	288
Votes for the Democratic Presidential candidate in Arkansas	r=0.95	7yrs	284
The number of floral designers in North Carolina	r=0.88	20yrs	278
The number of advertising and promotions managers in Puerto Rico	r=0.88	20yrs	268
The number of sales managers in Puerto Rico	r=0.88	20yrs	258
Violent crime rates	r=0.79	30yrs	257
Customer satisfaction with Verizon	r=0.84	28yrs	256
Votes for the Democratic Presidential candidate in Oklahoma	r=0.93	7yrs	250
The number of upholsterers in California	r=0.87	20yrs	246
Customer satisfaction with Walmart	r=0.78	27yrs	246
Lloyds Banking Group's stock price (LYG)	r=0.82	21yrs	245
Customer satisfaction with Frontier Communications	r=0.76	28yrs	244
The number of cooks, short order in Indiana	r=0.87	20yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.78	30yrs	234
Biomass power generated in Jamaica	r=0.82	29yrs	234
Kerosene used in Cabo Verde	r=0.83	29yrs	233
Viewership count for Days of Our Lives	r=0.78	29yrs	232
Ticket sales for Arizona Diamondbacks games	r=0.84	22yrs	230
NASA's budget as a percentage of the total US Federal Budget	r=0.74	30yrs	228
The number of data entry keyers in Kentucky	r=0.87	20yrs	226
Physical album shipment volume in the United States	r=0.8	24yrs	225
Total annual sales of Ford Motors in the United States	r=0.8	23yrs	221
Frozen yogurt consumption	r=0.79	29yrs	216
The number of office clerks in Minnesota	r=0.87	20yrs	216
Citigroup's stock price (C)	r=0.8	21yrs	212
US household spending on beef	r=0.84	23yrs	210
US household spending on processed fruits	r=0.84	23yrs	210
US household spending on clothing for men	r=0.84	23yrs	210
Processed cheese consumption	r=0.74	27yrs	206
Annual US household spending on books	r=0.81	23yrs	206
US household spending on meats, poultry, fish, and eggs	r=0.81	23yrs	206
US household spending on pork	r=0.81	23yrs	206
The number of carpenters in Mississippi	r=0.87	20yrs	206
Arson in United States	r=0.77	30yrs	204
Jet fuel used in Eritrea	r=0.83	28yrs	202
The number of chemical plant and system operators in New Jersey	r=0.87	20yrs	196
The divorce rate in North Dakota	r=0.84	23yrs	192
Kerosene used in Jamaica	r=0.82	29yrs	192
Motor vehicle thefts	r=0.74	30yrs	190
The number of legislators in Wyoming	r=0.88	17yrs	186
Jet fuel used in Libya	r=0.82	29yrs	182
The marriage rate in Nevada	r=0.84	23yrs	180
Robberies in the US	r=0.73	30yrs	178
The number of brickmasons in Alabama	r=0.86	20yrs	175
Gasoline pumped in North Macedonia	r=0.82	29yrs	172
The marriage rate in South Carolina	r=0.84	23yrs	170
The number of sewing machine operators in Alabama	r=0.86	20yrs	165
Robberies in Oregon	r=0.84	30yrs	164
Kerosene used in Argentina	r=0.81	29yrs	160
The marriage rate in Kentucky	r=0.83	23yrs	158
The number of postal service machine operators in Arizona	r=0.86	20yrs	155
Arson in North Carolina	r=0.82	30yrs	152
Gasoline pumped in Bulgaria	r=0.81	29yrs	150
The marriage rate in Missouri	r=0.83	23yrs	148
The number of prepress technicians and workers in Florida	r=0.86	20yrs	145
Arson in Utah	r=0.81	30yrs	140
Kerosene used in Dominican Republic	r=0.8	29yrs	138
The marriage rate in North Carolina	r=0.81	23yrs	136
The number of file clerks in Illinois	r=0.86	20yrs	135
Arson in Wyoming	r=0.81	30yrs	130
Petroluem consumption in Djibouti	r=0.79	29yrs	127
The divorce rate in New Hampshire	r=0.8	23yrs	126
The number of human resources assistants in Illinois	r=0.86	20yrs	125
Arson in Pennsylvania	r=0.8	30yrs	118
Kerosene used in Pakistan	r=0.79	29yrs	117
The divorce rate in Alabama	r=0.79	23yrs	114
Arson in Connecticut	r=0.8	30yrs	108
Gasoline pumped in Somalia	r=0.79	29yrs	107
The marriage rate in Alabama	r=0.79	23yrs	102
Kerosene used in Thailand	r=0.79	29yrs	97
Motor vehicle thefts in Pennsylvania	r=0.79	30yrs	97
The marriage rate in Wisconsin	r=0.78	23yrs	91
Motor vehicle thefts in Florida	r=0.79	30yrs	87
Gasoline pumped in Eritrea	r=0.79	28yrs	86
Gasoline pumped in Guinea-Bissau	r=0.78	29yrs	76
Burglaries in Montana	r=0.78	30yrs	76
Kerosene used in Namibia	r=0.78	29yrs	66
Burglaries in New York	r=0.78	30yrs	66
Kerosene used in Philippines	r=0.78	29yrs	56
Motor vehicle thefts in Illinois	r=0.78	30yrs	56
Kerosene used in Saint Kitts and Nevis	r=0.78	29yrs	46
Robberies in Illinois	r=0.78	30yrs	46
Robberies in Washington	r=0.78	30yrs	36
Gasoline pumped in France	r=0.76	30yrs	34
Arson in Nebraska	r=0.77	30yrs	24

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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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