Top variables that correlate with Popularity of the first name Deborah

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

Variable	Correlation	Years	Has img?
The number of computer programmers in Connecticut	r=0.91	20yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.98	40yrs	432
Carjackings in the US	r=0.96	27yrs	424
Average number of milk cows in the United States	r=0.94	43yrs	423
Burglaries in Colorado	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
The marriage rate in Ohio	r=0.98	23yrs	416
The marriage rate in Tennessee	r=0.97	23yrs	414
The marriage rate in South Carolina	r=0.96	23yrs	413
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Petroluem consumption in Bulgaria	r=0.94	42yrs	398
US household spending on clothing for men	r=0.95	23yrs	392
The number of data entry keyers in California	r=0.95	20yrs	388
Burglaries in New York	r=0.97	38yrs	387
The marriage rate in Wisconsin	r=0.96	23yrs	383
Physical album shipment volume in the United States	r=0.93	24yrs	380
Google searches for 'panama canal'	r=0.94	19yrs	378
Burglaries in California	r=0.97	38yrs	377
Google searches for 'Panama Canal'	r=0.93	19yrs	376
Total annual sales of Ford Motors in the United States	r=0.92	23yrs	374
The wind speed in Nashville	r=0.91	39yrs	373
The marriage rate in Arizona	r=0.95	23yrs	372
The wind speed in Austin	r=0.9	39yrs	372
Average length of LockPickingLawyer YouTube videos	r=0.95	8yrs	372
Gasoline pumped in Bulgaria	r=0.94	42yrs	368
Robberies in Oregon	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.92	43yrs	363
The marriage rate in Arkansas	r=0.95	23yrs	362
Air pollution in New York City	r=0.91	43yrs	362
Air pollution in San Diego, California	r=0.93	43yrs	362
US household spending on clothing	r=0.94	23yrs	360
US household spending on books	r=0.94	23yrs	360
The number of receptionists in California	r=0.94	20yrs	358
The number of telemarketers in Illinois	r=0.94	20yrs	358
Kerosene used in Portugal	r=0.93	43yrs	357
US household spending on clothin for women	r=0.91	23yrs	356
Burglaries in Oregon	r=0.95	38yrs	354
Kerosene used in Ecuador	r=0.93	42yrs	346
Kerosene used in Uruguay	r=0.93	42yrs	336
Air pollution in Oxnard, California	r=0.94	41yrs	331
Arson in United States	r=0.92	38yrs	330
The number of CEOs in Indiana	r=0.93	20yrs	327
Kerosene used in Bolivia	r=0.92	42yrs	324
The marriage rate in Virginia	r=0.95	23yrs	322
Burglary rates in the US	r=0.92	38yrs	320
Air pollution in Los Angeles	r=0.9	43yrs	320
The number of file clerks in Maryland	r=0.93	20yrs	316
Kerosene used in Venezuela	r=0.92	42yrs	314
The divorce rate in Tennessee	r=0.94	23yrs	312
Air pollution in Norwich, Connecticut	r=0.93	42yrs	310
The number of prepress technicians and workers in New York	r=0.93	20yrs	306
Kerosene used in Hong Kong	r=0.9	42yrs	302
The marriage rate in Missouri	r=0.94	23yrs	300
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	298
The number of prepress technicians and workers in Ohio	r=0.93	20yrs	296
Burglaries in Connecticut	r=0.95	38yrs	294
Petroluem consumption in Romania	r=0.9	42yrs	292
The marriage rate in Nevada	r=0.94	23yrs	290
Air pollution in Spokane, Washington	r=0.91	43yrs	288
The number of proofreaders in Wisconsin	r=0.93	20yrs	286
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	284
Kerosene used in Romania	r=0.9	42yrs	282
The marriage rate in North Carolina	r=0.94	23yrs	280
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	274
Burglaries in Alaska	r=0.94	38yrs	272
The marriage rate in South Dakota	r=0.94	23yrs	270
Jet fuel used in Ukraine	r=0.93	30yrs	264
The number of switchboard operators in Georgia	r=0.92	20yrs	264
Burglaries in Rhode Island	r=0.94	38yrs	262
The divorce rate in Alabama	r=0.92	23yrs	258
The number of switchboard operators in Hawaii	r=0.92	20yrs	254
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	252
The marriage rate in Kentucky	r=0.92	23yrs	247
The number of switchboard operators in Idaho	r=0.92	20yrs	244
Robberies in Michigan	r=0.94	38yrs	242
The marriage rate in Texas	r=0.92	23yrs	237
The number of drywall and ceiling tile installers in Maryland	r=0.92	20yrs	234
Gasoline pumped in Somalia	r=0.9	42yrs	232
Arson in Colorado	r=0.93	38yrs	231
The marriage rate in Idaho	r=0.91	23yrs	226
The number of mechanical drafters in Michigan	r=0.92	20yrs	224
Burglaries in Montana	r=0.93	38yrs	221
Kerosene used in Norway	r=0.89	43yrs	221
The marriage rate in Minnesota	r=0.91	23yrs	216
The number of cooks, short order in Michigan	r=0.92	20yrs	214
Burglaries in New Mexico	r=0.93	38yrs	211
Kerosene used in United States	r=0.88	43yrs	210
The marriage rate in New Hampshire	r=0.91	23yrs	206
The number of data entry keyers in Tennessee	r=0.92	20yrs	204
Burglaries in Oklahoma	r=0.93	38yrs	201
Gasoline pumped in Cuba	r=0.88	42yrs	198
The marriage rate in Wyoming	r=0.9	23yrs	194
The number of procurement clerks in Vermont	r=0.92	20yrs	194
Burglaries in Texas	r=0.93	38yrs	191
Kerosene used in Italy	r=0.87	43yrs	188
The number of computer programmers in Vermont	r=0.91	19yrs	183
Kerosene used in Cuba	r=0.87	42yrs	177
The number of prepress technicians and workers in Colorado	r=0.91	20yrs	172
Kerosene used in Thailand	r=0.87	42yrs	167
The number of sewing machine operators in Hawaii	r=0.91	20yrs	162

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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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