Top variables that correlate with Popularity of the first name Armand

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

Variable	Correlation	Years	Sys. Score
The marriage rate in Nevada	r=0.95	23yrs	412
AIG's stock price (AIG)	r=0.93	21yrs	396
Fossil fuel use in Greenland	r=0.91	42yrs	396
Lloyds Banking Group's stock price (LYG)	r=0.92	21yrs	395
Gasoline pumped in Italy	r=0.9	43yrs	392
Carjackings in the US	r=0.92	27yrs	388
Petroluem consumption in Germany	r=0.91	32yrs	383
Physical album shipment volume in the United States	r=0.93	24yrs	380
The marriage rate in Tennessee	r=0.94	23yrs	380
Arson in Pennsylvania	r=0.92	38yrs	380
Google searches for 'snoop dog'	r=0.94	19yrs	378
The marriage rate in Arizona	r=0.93	23yrs	378
Google searches for 'learn spanish'	r=0.92	19yrs	374
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
Citigroup's stock price (C)	r=0.89	21yrs	360
Arson in Idaho	r=0.9	22yrs	360
US household spending on clothing	r=0.93	23yrs	358
US household spending on clothing for men	r=0.93	23yrs	358
US household spending on books	r=0.93	23yrs	358
The number of telemarketers in California	r=0.93	20yrs	357
The number of postal service machine operators in California	r=0.94	20yrs	357
The number of sewing machine operators in Illinois	r=0.94	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Gasoline pumped in Germany	r=0.91	32yrs	353
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	353
US average milk-fat content of frozen dairy products	r=0.92	22yrs	353
The marriage rate in Idaho	r=0.93	23yrs	348
US birth rates of triplets or more	r=0.89	20yrs	347
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
Gasoline pumped in Lithuania	r=0.9	31yrs	340
GMO use in cotton in North Carolina	r=0.92	23yrs	340
The divorce rate in Tennessee	r=0.92	23yrs	338
Google searches for 'black holes'	r=0.88	19yrs	338
Ticket sales for Arizona Diamondbacks games	r=0.85	22yrs	337
Liquefied petroleum gas used in Greenland	r=0.94	22yrs	328
The marriage rate in Alabama	r=0.92	23yrs	327
The number of postal service machine operators in Kansas	r=0.94	20yrs	327
Orange's stock price (ORAN)	r=0.86	21yrs	326
GMO use in cotton	r=0.86	23yrs	321
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	22yrs	320
US household spending on floor coverings	r=0.87	23yrs	320
The marriage rate in Kentucky	r=0.92	23yrs	317
The number of payroll and timekeeping clerks in Michigan	r=0.94	20yrs	317
Jet fuel used in Saint Vincent/Grenadines	r=0.91	24yrs	315
Motor vehicle thefts in Georgia	r=0.89	38yrs	315
The marriage rate in Ohio	r=0.92	23yrs	307
The number of travel agents in Minnesota	r=0.94	20yrs	307
Google searches for 'Panama Canal'	r=0.87	19yrs	307
Arson in Rhode Island	r=0.88	38yrs	304
The marriage rate in Wyoming	r=0.92	23yrs	297
The number of postal service machine operators in New Jersey	r=0.94	20yrs	297
Google searches for 'oprah winfrey'	r=0.86	19yrs	296
Motor vehicle thefts in Indiana	r=0.88	38yrs	294
Kerosene used in Philippines	r=0.9	42yrs	292
The divorce rate in Alabama	r=0.91	23yrs	287
The number of postal service machine operators in New York	r=0.94	20yrs	287
Motor vehicle thefts in Louisiana	r=0.88	38yrs	284
Google searches for 'panama canal'	r=0.85	19yrs	284
NatWest Group's stock price (NWG)	r=0.86	15yrs	280
Gasoline pumped in Spain	r=0.87	43yrs	278
The number of carpenters in Ohio	r=0.94	20yrs	277
The marriage rate in Arkansas	r=0.91	23yrs	276
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.87	22yrs	276
Arson in Missouri	r=0.87	38yrs	272
Gasoline pumped in United Kingdom	r=0.87	43yrs	268
The number of boiler operators in Ohio	r=0.94	20yrs	267
The marriage rate in South Dakota	r=0.91	23yrs	266
Motor vehicle thefts in Virginia	r=0.87	38yrs	262
The number of carpenters in Puerto Rico	r=0.94	20yrs	257
The marriage rate in Virginia	r=0.91	23yrs	256
Kerosene used in Japan	r=0.85	43yrs	255
Arson in North Carolina	r=0.86	38yrs	250
The number of CEOs in Alabama	r=0.92	20yrs	246
The marriage rate in South Carolina	r=0.9	23yrs	244
Gasoline pumped in Slovenia	r=0.9	31yrs	240
Motor vehicle thefts in Tennessee	r=0.86	38yrs	240
The number of meter readers, utilities in Alabama	r=0.93	20yrs	236
Motor vehicle thefts in Florida	r=0.86	38yrs	230
The number of sewing machine operators in Alabama	r=0.93	20yrs	226
Fossil fuel use in Slovakia	r=0.86	29yrs	226
Robberies in Arizona	r=0.85	38yrs	219
The number of conveyor operators in Alabama	r=0.93	20yrs	216
The number of carpet installers in Arizona	r=0.92	20yrs	206
The divorce rate in North Carolina	r=0.89	23yrs	204
The number of sewing machine operators in Arkansas	r=0.93	20yrs	196
The marriage rate in North Carolina	r=0.89	23yrs	192
The number of postal service machine operators in Colorado	r=0.93	20yrs	186
The marriage rate in Missouri	r=0.88	23yrs	181
The number of postal service machine operators in Connecticut	r=0.93	20yrs	176
The divorce rate in New Hampshire	r=0.87	23yrs	171
The number of proofreaders in Connecticut	r=0.93	20yrs	166
The marriage rate in Wisconsin	r=0.87	23yrs	160
The divorce rate in Kentucky	r=0.85	23yrs	148
Violent crime rates	r=0.77	38yrs	132
Electricity generation in U.S. Virgin Islands	r=0.85	42yrs	122
Fossil fuel use in U.S. Virgin Islands	r=0.85	42yrs	112
Petroluem consumption in Japan	r=0.83	48yrs	102
Biomass power generated in Jamaica	r=0.84	42yrs	90
Kerosene used in Mauritius	r=0.84	42yrs	78
Kerosene used in Syria	r=0.84	42yrs	68
Gasoline pumped in Switzerland	r=0.83	43yrs	57

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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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