Top variables that correlate with Popularity of the first name Tonya

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.95	43yrs	430
Kerosene used in Mexico	r=0.96	40yrs	428
Carjackings in the US	r=0.97	27yrs	426
Average number of milk cows in the United States	r=0.93	43yrs	422
Burglaries in Colorado	r=0.96	38yrs	416
The marriage rate in Tennessee	r=0.97	23yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
The divorce rate in Tennessee	r=0.95	23yrs	413
Google searches for 'desktop background'	r=0.97	16yrs	409
Pirate attacks globally	r=0.95	14yrs	407
Kerosene used in Portugal	r=0.94	43yrs	398
US household spending on books	r=0.96	23yrs	393
The number of telephone operators in New York	r=0.97	19yrs	390
The number of advertising and promotions managers in South Carolina	r=0.96	20yrs	390
The number of switchboard operators in Wisconsin	r=0.96	20yrs	390
US birth rates of triplets or more	r=0.94	20yrs	384
The marriage rate in South Carolina	r=0.95	23yrs	382
Burglaries in Oregon	r=0.94	38yrs	382
Physical album shipment volume in the United States	r=0.93	24yrs	380
Google searches for 'oprah winfrey'	r=0.94	19yrs	378
xkcd comics published about romance	r=0.93	16yrs	378
Google searches for 'snoop dog'	r=0.93	19yrs	376
United States music album sales	r=0.94	16yrs	373
Global iPod Sales	r=0.96	9yrs	370
Customer satisfaction with Verizon	r=0.87	28yrs	366
Petroluem consumption in Bulgaria	r=0.92	42yrs	364
Air pollution in Spokane, Washington	r=0.92	43yrs	360
Air pollution in Norwich, Connecticut	r=0.93	42yrs	360
The number of compensation and benefits managers in Oklahoma	r=0.96	19yrs	359
US household spending on processed fruits	r=0.93	23yrs	358
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	358
Remaining Forest Cover in the Brazilian Amazon	r=0.86	36yrs	357
US household spending on clothing	r=0.92	23yrs	357
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
Kerosene used in U.S. Pacific Islands	r=0.92	42yrs	354
US household spending on clothin for women	r=0.9	23yrs	354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	353
Arson in New York	r=0.93	38yrs	351
The number of advertising and promotions managers in District of Columbia	r=0.95	20yrs	348
Google searches for 'report UFO sighting'	r=0.88	19yrs	344
Kerosene used in Bolivia	r=0.91	42yrs	343
Google searches for 'shook'	r=0.91	19yrs	343
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
The marriage rate in Ohio	r=0.95	23yrs	342
Burglaries in Washington	r=0.92	38yrs	340
The number of typists in Florida	r=0.95	20yrs	338
Kerosene used in Romania	r=0.91	42yrs	333
Google searches for 'learn spanish'	r=0.91	19yrs	333
The divorce rate in Alabama	r=0.94	23yrs	332
Robberies in Oregon	r=0.92	38yrs	330
The number of prepress technicians and workers in Indiana	r=0.95	20yrs	328
Kerosene used in Canada	r=0.9	43yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	322
The number of switchboard operators in Ohio	r=0.95	20yrs	318
The marriage rate in Arkansas	r=0.93	23yrs	318
Burglaries in California	r=0.91	38yrs	318
The number of painting, coating, and decorating workers in Wisconsin	r=0.95	20yrs	308
The marriage rate in Alabama	r=0.92	23yrs	307
Petroluem consumption in Ukraine	r=0.94	30yrs	306
US milk fat used to produce fluid beverage milk	r=0.89	22yrs	302
The marriage rate in Arizona	r=0.92	23yrs	297
Jet fuel used in Ukraine	r=0.94	30yrs	296
The number of executive administrative assistants in Georgia	r=0.95	13yrs	292
Arson in Idaho	r=0.9	22yrs	290
The marriage rate in Idaho	r=0.92	23yrs	287
Petroluem consumption in Belarus	r=0.92	30yrs	282
The marriage rate in Kentucky	r=0.92	23yrs	277
Petroluem consumption in Azerbaijan	r=0.91	30yrs	271
The marriage rate in South Dakota	r=0.92	23yrs	267
Burglaries in New York	r=0.89	38yrs	265
The number of computer programmers in Colorado	r=0.94	20yrs	258
The marriage rate in Virginia	r=0.91	23yrs	256
Arson in Maine	r=0.88	38yrs	254
The number of proofreaders in Connecticut	r=0.95	20yrs	248
The divorce rate in North Carolina	r=0.9	23yrs	246
Burglaries in Michigan	r=0.88	38yrs	244
Gasoline pumped in Bulgaria	r=0.9	42yrs	242
The number of human resources assistants in Illinois	r=0.95	20yrs	238
The marriage rate in Wyoming	r=0.9	23yrs	234
Burglaries in Montana	r=0.88	38yrs	234
Kerosene used in Norway	r=0.89	43yrs	231
The number of typists in Iowa	r=0.95	20yrs	228
Arson in Colorado	r=0.87	38yrs	222
Kerosene used in Ecuador	r=0.89	42yrs	220
The number of file clerks in North Carolina	r=0.95	20yrs	218
Petroluem consumption in Hungary	r=0.88	43yrs	210
The number of meter readers, utilities in North Carolina	r=0.95	20yrs	208
The number of CEOs in Ohio	r=0.94	20yrs	198
Kerosene used in Uruguay	r=0.88	42yrs	198
The divorce rate in New Hampshire	r=0.89	23yrs	194
The number of typists in Ohio	r=0.95	20yrs	188
Kerosene used in Cabo Verde	r=0.87	42yrs	187
The divorce rate in Wyoming	r=0.89	23yrs	184
The number of legislators in Pennsylvania	r=0.94	20yrs	178
Kerosene used in Hong Kong	r=0.87	42yrs	177
The marriage rate in Missouri	r=0.89	23yrs	172
The number of typists in Washington	r=0.95	20yrs	168
Kerosene used in Italy	r=0.85	43yrs	165
The divorce rate in Nevada	r=0.88	23yrs	162
The divorce rate in Ohio	r=0.88	23yrs	152

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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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