Top variables that correlate with Popularity of the first name Dontae

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

Variable	Correlation	Years	Sys. Score
Google searches for 'desktop background'	r=0.96	16yrs	408
Gasoline pumped in Kosovo	r=0.96	14yrs	402
The number of telemarketers in Massachusetts	r=0.97	20yrs	393
The number of computer programmers in New York	r=0.97	20yrs	393
US household spending on mortgage interest and charges	r=0.96	23yrs	393
The number of data entry keyers in Minnesota	r=0.97	20yrs	392
Gasoline pumped in Switzerland	r=0.9	43yrs	392
US birth rates of triplets or more	r=0.94	20yrs	384
The divorce rate in Arkansas	r=0.93	23yrs	380
The divorce rate in Kentucky	r=0.93	23yrs	380
Viewership count of American Idol Season Finale	r=0.91	21yrs	378
US production of fluid beverage milk	r=0.93	22yrs	378
The divorce rate in Idaho	r=0.92	23yrs	378
Cigarette Smoking Rate for US adults	r=0.93	21yrs	376
U.S. intercountry adoptions	r=0.91	23yrs	376
Geothermal power generated in Austria	r=0.94	17yrs	376
Pirate attacks globally	r=0.93	14yrs	374
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	374
GMO use in cotton in Texas	r=0.95	23yrs	374
United States music album sales	r=0.94	16yrs	373
Google searches for 'shook'	r=0.91	19yrs	373
Arson in Iowa	r=0.95	22yrs	368
UK Public Library Count	r=0.94	12yrs	366
Asthma attacks in American children	r=0.87	23yrs	364
Burglaries in Puerto Rico	r=0.91	24yrs	364
GMO use in cotton	r=0.93	23yrs	362
Arson in Idaho	r=0.91	22yrs	362
The number of computer programmers in North Carolina	r=0.96	20yrs	362
Asthma prevalence in American children	r=0.89	17yrs	361
GMO use in cotton	r=0.92	23yrs	360
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.94	22yrs	356
US household spending on postage and stationery	r=0.91	23yrs	356
US household spending on vehicle insurance	r=0.91	23yrs	356
The number of telemarketers in North Dakota	r=0.96	20yrs	352
The divorce rate in Mississippi	r=0.9	23yrs	346
The number of computer programmers in Ohio	r=0.96	20yrs	342
Google searches for 'oprah winfrey'	r=0.88	19yrs	338
The divorce rate in West Virginia	r=0.9	23yrs	336
Liquefied petroleum gas used in Kosovo	r=0.92	14yrs	336
The number of computer programmers in Oklahoma	r=0.96	20yrs	332
US average milk-fat content of cottage cheese	r=0.92	22yrs	323
The number of file clerks in South Dakota	r=0.97	20yrs	322
Gasoline pumped in Finland	r=0.89	43yrs	321
US household spending on clothin for women	r=0.87	23yrs	320
Average views of Numberphile YouTube videos	r=0.91	12yrs	320
GMO use in corn grown in Kansas	r=0.93	23yrs	314
Robberies in South Carolina	r=0.87	38yrs	312
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	22yrs	310
The number of switchboard operators in Alabama	r=0.96	20yrs	310
Nuclear power generation in Germany	r=0.9	31yrs	304
GMO use in corn	r=0.93	23yrs	304
Burglaries in North Carolina	r=0.86	38yrs	300
The number of switchboard operators in Arizona	r=0.96	20yrs	300
The divorce rate in Wyoming	r=0.9	23yrs	296
GMO use in corn grown in Minnesota	r=0.92	23yrs	293
Kerosene used in Montserrat	r=0.88	35yrs	292
Robberies in Pennsylvania	r=0.86	38yrs	290
The number of switchboard operators in Arkansas	r=0.96	20yrs	290
Milk consumption	r=0.88	32yrs	289
The divorce rate in Colorado	r=0.89	23yrs	284
GMO use in corn grown in Missouri	r=0.92	23yrs	283
The number of postal service machine operators in Idaho	r=0.96	20yrs	280
Sherbet consumption	r=0.89	32yrs	279
Motor vehicle thefts in Georgia	r=0.85	38yrs	279
Fossil fuel use in North Macedonia	r=0.87	30yrs	278
GMO use in corn grown in Nebraska	r=0.92	23yrs	273
The marriage rate in Alaska	r=0.89	23yrs	272
The number of postmasters in Maryland	r=0.96	20yrs	270
US production of cottage cheese	r=0.87	22yrs	268
Gasoline pumped in Slovenia	r=0.87	31yrs	266
GMO use in corn grown in North Dakota	r=0.95	18yrs	262
The divorce rate in Florida	r=0.88	23yrs	262
The number of counter and rental clerks in Minnesota	r=0.96	20yrs	260
US dairy skim solids used to produce cottage cheese	r=0.88	22yrs	258
The divorce rate in North Carolina	r=0.88	23yrs	252
GMO use in corn grown in Texas	r=0.94	18yrs	251
The number of bill collectors in New Jersey	r=0.95	20yrs	250
Ice cream consumption	r=0.86	32yrs	244
The divorce rate in Texas	r=0.88	23yrs	242
The number of library assistants in North Carolina	r=0.96	20yrs	240
GMO use in corn grown in Michigan	r=0.9	23yrs	240
The divorce rate in Wisconsin	r=0.88	23yrs	232
The number of postmasters in Washington	r=0.96	20yrs	230
GMO use in corn grown in Texas	r=0.92	18yrs	228
The marriage rate in Alabama	r=0.88	23yrs	221
The number of telemarketers in West Virginia	r=0.95	20yrs	220
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.89	22yrs	218
The divorce rate in Delaware	r=0.87	23yrs	211
The number of human resources assistants in Wisconsin	r=0.96	20yrs	210
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.89	22yrs	208
GMO use in cotton	r=0.88	23yrs	204
The divorce rate in Maine	r=0.87	23yrs	201
The number of social and human service assistants in Arkansas	r=0.95	20yrs	198
The divorce rate in Virginia	r=0.87	23yrs	191
The divorce rate in Washington	r=0.87	23yrs	181
The marriage rate in Idaho	r=0.87	23yrs	170
The divorce rate in Alabama	r=0.86	23yrs	160
Electricity generation in U.S. Virgin Islands	r=0.84	42yrs	160
The divorce rate in Missouri	r=0.86	23yrs	150
Fossil fuel use in U.S. Virgin Islands	r=0.84	42yrs	150
Fossil fuel use in Denmark	r=0.83	42yrs	139

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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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