Top variables that correlate with Popularity of the first name Donnie

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.98	43yrs	434
Kerosene used in Mexico	r=0.96	40yrs	428
Average number of milk cows in the United States	r=0.9	43yrs	417
Burglaries in New York	r=0.97	38yrs	417
Burglaries in California	r=0.97	38yrs	417
Arson in New York	r=0.96	38yrs	416
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Kerosene used in Portugal	r=0.94	43yrs	398
Burglaries in Rhode Island	r=0.96	38yrs	386
The marriage rate in Louisiana	r=0.94	23yrs	380
The divorce rate in Illinois	r=0.92	23yrs	378
The divorce rate in Wyoming	r=0.92	23yrs	378
Burglaries in Colorado	r=0.96	38yrs	376
The wind speed in Austin	r=0.91	39yrs	373
Cottage cheese consumption	r=0.91	32yrs	372
Burglaries in Connecticut	r=0.96	38yrs	366
Gasoline pumped in Bulgaria	r=0.93	42yrs	366
Air pollution in San Diego, California	r=0.94	43yrs	363
Air pollution in Los Angeles	r=0.91	43yrs	362
Air pollution in Norwich, Connecticut	r=0.92	42yrs	359
The number of coil winders, tapers, and finishers in Kentucky	r=0.94	20yrs	357
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	356
Kerosene used in Norway	r=0.92	43yrs	356
The number of computer hardware engineers in Massachusetts	r=0.93	20yrs	356
The number of computer programmers in New Jersey	r=0.92	20yrs	356
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	352
The distance between Neptune and Mercury	r=0.88	48yrs	348
The divorce rate in Virginia	r=0.91	23yrs	347
Kerosene used in Uruguay	r=0.93	42yrs	346
Robberies in Michigan	r=0.95	38yrs	344
The distance between Neptune and the Sun	r=0.86	48yrs	344
The distance between Neptune and Earth	r=0.86	48yrs	344
US birth rates of triplets or more	r=0.86	20yrs	342
Physical album shipment volume in the United States	r=0.88	24yrs	342
US Tobacco Production	r=0.89	23yrs	342
The wind speed in San Diego	r=0.9	39yrs	342
The wind speed in Nashville	r=0.89	39yrs	340
The marriage rate in Alabama	r=0.91	23yrs	336
Petroluem consumption in Bulgaria	r=0.92	42yrs	334
Air pollution in Oxnard, California	r=0.92	41yrs	328
The marriage rate in Arkansas	r=0.91	23yrs	326
The number of floral designers in New Jersey	r=0.93	20yrs	326
Kerosene used in Ecuador	r=0.91	42yrs	323
Burglary rates in the US	r=0.94	38yrs	322
Air pollution in Spokane, Washington	r=0.91	43yrs	318
The marriage rate in Idaho	r=0.91	23yrs	316
The number of typists in North Carolina	r=0.93	20yrs	316
The distance between Neptune and the moon	r=0.86	48yrs	314
Petroluem consumption in Romania	r=0.9	42yrs	312
Arson in United States	r=0.93	38yrs	311
The marriage rate in South Dakota	r=0.91	23yrs	306
The number of bill collectors in California	r=0.91	20yrs	304
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	304
Kerosene used in Venezuela	r=0.9	42yrs	302
The marriage rate in Texas	r=0.91	23yrs	296
The number of file clerks in California	r=0.92	20yrs	294
The divorce rate in Florida	r=0.9	23yrs	286
Burglaries in Florida	r=0.95	38yrs	284
The number of data entry keyers in Florida	r=0.92	20yrs	284
Jet fuel used in Ukraine	r=0.91	30yrs	281
The divorce rate in Kentucky	r=0.9	23yrs	276
Burglaries in Minnesota	r=0.95	38yrs	274
The number of cooks, short order in Kentucky	r=0.92	20yrs	274
The divorce rate in New Hampshire	r=0.9	23yrs	266
Burglaries in New Mexico	r=0.95	38yrs	264
The number of computer programmers in Pennsylvania	r=0.91	20yrs	264
Burglaries in Texas	r=0.95	38yrs	254
The marriage rate in Alaska	r=0.9	23yrs	254
The number of legislators in Virginia	r=0.91	20yrs	254
Carjackings in the US	r=0.88	27yrs	252
Kerosene used in Bolivia	r=0.89	42yrs	250
Robberies in Oregon	r=0.95	38yrs	244
The number of bill collectors in Washington	r=0.91	20yrs	244
Kerosene used in Hong Kong	r=0.89	42yrs	240
Burglaries in Massachusetts	r=0.94	38yrs	232
The number of payroll and timekeeping clerks in District of Columbia	r=0.91	20yrs	232
Kerosene used in United States	r=0.88	43yrs	230
Burglaries in Montana	r=0.94	38yrs	222
The number of switchboard operators in Hawaii	r=0.91	20yrs	222
Kerosene used in Romania	r=0.88	42yrs	218
The divorce rate in Washington	r=0.9	23yrs	216
Burglaries in New Jersey	r=0.94	38yrs	212
The number of motorcycle mechanics in Illinois	r=0.91	20yrs	212
Gasoline pumped in Somalia	r=0.88	42yrs	208
The marriage rate in Kansas	r=0.9	23yrs	204
Burglaries in Oklahoma	r=0.94	38yrs	202
The number of postmasters in Massachusetts	r=0.91	20yrs	202
Kerosene used in Argentina	r=0.87	42yrs	197
The marriage rate in Kentucky	r=0.9	23yrs	194
Burglaries in Virginia	r=0.94	38yrs	192
The number of switchboard operators in Massachusetts	r=0.91	20yrs	192
Kerosene used in Cabo Verde	r=0.87	42yrs	187
The marriage rate in Virginia	r=0.9	23yrs	184
The number of prepress technicians and workers in Michigan	r=0.91	20yrs	182
Gasoline pumped in Cuba	r=0.86	42yrs	176
The divorce rate in Delaware	r=0.89	23yrs	174
The number of typists in Mississippi	r=0.91	20yrs	172
Kerosene used in Thailand	r=0.86	42yrs	166
The divorce rate in Maine	r=0.89	23yrs	164
The number of telemarketers in Nebraska	r=0.9	20yrs	162
The divorce rate in Mississippi	r=0.89	23yrs	154

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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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