Top variables that correlate with Popularity of the first name Dena

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.97	40yrs	430
Average number of milk cows in the United States	r=0.94	43yrs	423
Burglaries in Colorado	r=0.97	38yrs	417
Burglaries in Oregon	r=0.96	38yrs	416
The divorce rate in Alabama	r=0.95	23yrs	413
Physical album shipment volume in the United States	r=0.95	24yrs	412
The marriage rate in Nevada	r=0.95	23yrs	412
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	398
Kerosene used in Bolivia	r=0.94	42yrs	398
The number of postal service machine operators in Maryland	r=0.97	20yrs	392
Carjackings in the US	r=0.93	27yrs	390
The number of typists in Florida	r=0.96	20yrs	390
The number of typists in Iowa	r=0.96	20yrs	390
The marriage rate in Tennessee	r=0.95	23yrs	382
US birth rates of triplets or more	r=0.9	20yrs	378
Google searches for 'panama canal'	r=0.93	19yrs	376
Google searches for 'learn spanish'	r=0.93	19yrs	376
Google searches for 'Panama Canal'	r=0.93	19yrs	376
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Air pollution in Manchester, New Hampshire	r=0.93	43yrs	362
Air pollution in Norwich, Connecticut	r=0.94	42yrs	362
The number of office clerks in Minnesota	r=0.96	20yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
US household spending on books	r=0.92	23yrs	357
Air pollution in San Diego, California	r=0.9	43yrs	357
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
US household spending on clothing	r=0.91	23yrs	356
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
US household spending on clothing for men	r=0.9	23yrs	354
Burglaries in Washington	r=0.94	38yrs	352
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.96	20yrs	350
The marriage rate in Arkansas	r=0.94	23yrs	350
Kerosene used in Portugal	r=0.92	43yrs	346
GMO use in corn grown in South Dakota	r=0.93	23yrs	344
Google searches for 'snoop dog'	r=0.91	19yrs	343
Robberies in Oregon	r=0.94	38yrs	342
The number of data entry keyers in Washington	r=0.96	20yrs	340
The marriage rate in Idaho	r=0.94	23yrs	340
Kerosene used in Ecuador	r=0.91	42yrs	333
Google searches for 'black holes'	r=0.91	19yrs	333
Burglaries in California	r=0.93	38yrs	331
The marriage rate in Virginia	r=0.94	23yrs	330
The number of typists in Alabama	r=0.95	20yrs	328
Air pollution in Oxnard, California	r=0.9	41yrs	325
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	22yrs	324
Kerosene used in Romania	r=0.91	42yrs	323
Google searches for 'oprah winfrey'	r=0.9	19yrs	322
The divorce rate in Tennessee	r=0.93	23yrs	320
Arson in New York	r=0.92	38yrs	320
The number of couriers and messengers in Kentucky	r=0.95	20yrs	318
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	22yrs	313
Kerosene used in Uruguay	r=0.91	42yrs	313
Burglaries in New York	r=0.92	38yrs	310
The number of typists in New York	r=0.95	20yrs	308
The marriage rate in South Dakota	r=0.93	23yrs	308
Kerosene used in U.S. Pacific Islands	r=0.9	42yrs	302
The number of furniture finishers in North Carolina	r=0.95	20yrs	298
The marriage rate in Wyoming	r=0.93	23yrs	298
Arson in Colorado	r=0.91	38yrs	298
The number of typists in Washington	r=0.95	20yrs	288
Burglaries in Alaska	r=0.91	38yrs	288
The marriage rate in Alabama	r=0.92	23yrs	287
Gasoline pumped in Germany	r=0.92	32yrs	284
The number of compensation and benefits managers in Ohio	r=0.95	19yrs	278
Burglaries in Michigan	r=0.91	38yrs	278
The marriage rate in Kentucky	r=0.92	23yrs	277
The number of compensation and benefits managers in Tennessee	r=0.95	19yrs	268
Burglaries in Oklahoma	r=0.91	38yrs	268
The marriage rate in Ohio	r=0.92	23yrs	267
The marriage rate in South Carolina	r=0.92	23yrs	257
Burglaries in Nevada	r=0.9	38yrs	256
Kerosene used in Norway	r=0.9	43yrs	252
The divorce rate in North Carolina	r=0.9	23yrs	246
Robberies in Michigan	r=0.9	38yrs	246
Kerosene used in United States	r=0.9	43yrs	242
The marriage rate in North Carolina	r=0.9	23yrs	234
The number of telemarketers in Illinois	r=0.95	20yrs	230
Kerosene used in Cabo Verde	r=0.88	42yrs	228
The marriage rate in Wisconsin	r=0.9	23yrs	224
Arson in United States	r=0.88	38yrs	224
The number of CEOs in Ohio	r=0.95	20yrs	220
Kerosene used in Hong Kong	r=0.88	42yrs	218
Burglary rates in the US	r=0.88	38yrs	214
The number of data entry keyers in California	r=0.95	20yrs	208
Petroluem consumption in Romania	r=0.87	42yrs	207
Arson in Idaho	r=0.9	22yrs	200
The number of CEOs in Colorado	r=0.94	20yrs	198
Gasoline pumped in Somalia	r=0.87	42yrs	197
The number of computer programmers in Colorado	r=0.94	20yrs	188
Kerosene used in Canada	r=0.86	43yrs	186
The divorce rate in Kentucky	r=0.9	23yrs	186
The number of postal service machine operators in Connecticut	r=0.95	20yrs	178
Kerosene used in Venezuela	r=0.86	42yrs	176
Burglaries in Montana	r=0.9	38yrs	176
The number of switchboard operators in Delaware	r=0.95	20yrs	168
Burglaries in Texas	r=0.9	38yrs	166
Kerosene used in Italy	r=0.85	43yrs	165
Burglaries in Connecticut	r=0.9	38yrs	156

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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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