Top variables that correlate with Popularity of the first name Mindy

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
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=0.92	43yrs	420
Burglaries in Colorado	r=0.96	38yrs	416
The marriage rate in Nevada	r=0.95	23yrs	412
Kerosene used in Portugal	r=0.94	43yrs	398
The number of telemarketers in Pennsylvania	r=0.96	20yrs	392
US birth rates of triplets or more	r=0.93	20yrs	383
The divorce rate in Alabama	r=0.94	23yrs	382
The divorce rate in North Carolina	r=0.94	23yrs	382
Burglaries in Oregon	r=0.94	38yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
Google searches for 'oprah winfrey'	r=0.94	19yrs	378
Google searches for 'shook'	r=0.92	19yrs	374
Cigarette Smoking Rate for US adults	r=0.9	21yrs	372
Petroluem consumption in Bulgaria	r=0.93	42yrs	366
Customer satisfaction with Verizon	r=0.87	28yrs	366
Air pollution in Spokane, Washington	r=0.93	43yrs	362
The number of bill collectors in Colorado	r=0.94	20yrs	358
The number of prepress technicians and workers in Massachusetts	r=0.95	20yrs	358
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	356
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
US household spending on clothin for women	r=0.91	23yrs	356
US household spending on books	r=0.91	23yrs	356
Kerosene used in Bolivia	r=0.91	42yrs	353
The divorce rate in Tennessee	r=0.94	23yrs	352
Burglaries in Washington	r=0.94	38yrs	352
Kerosene used in Romania	r=0.91	42yrs	343
Viewership count of American Idol Season Finale	r=0.87	21yrs	342
Arson in New York	r=0.93	38yrs	341
GMO use in corn grown in Texas	r=0.94	18yrs	341
Google searches for 'learn spanish'	r=0.89	19yrs	340
The marriage rate in Idaho	r=0.93	23yrs	338
GMO use in cotton in North Carolina	r=0.9	23yrs	337
Kerosene used in U.S. Pacific Islands	r=0.91	42yrs	333
Robberies in Oregon	r=0.92	38yrs	330
The marriage rate in Tennessee	r=0.93	23yrs	328
The number of postal service machine operators in North Dakota	r=0.95	20yrs	328
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	324
Gasoline pumped in Bulgaria	r=0.9	42yrs	322
The marriage rate in Wyoming	r=0.93	23yrs	318
The number of computer programmers in Ohio	r=0.94	20yrs	318
Burglaries in California	r=0.9	38yrs	316
Kerosene used in Norway	r=0.9	43yrs	312
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.91	22yrs	312
The number of cutters and trimmers, hand in Pennsylvania	r=0.95	20yrs	308
The marriage rate in Arkansas	r=0.92	23yrs	307
Jet fuel used in Ukraine	r=0.95	30yrs	297
The divorce rate in New Hampshire	r=0.91	23yrs	297
The number of meter readers, utilities in Alabama	r=0.94	20yrs	297
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	293
The divorce rate in Oregon	r=0.91	23yrs	287
The number of telemarketers in California	r=0.93	20yrs	287
Petroluem consumption in Ukraine	r=0.94	30yrs	286
The divorce rate in Wyoming	r=0.91	23yrs	277
The number of legislators in Louisiana	r=0.93	20yrs	277
Burglaries in New York	r=0.89	38yrs	275
Petroluem consumption in Belarus	r=0.92	30yrs	272
The number of postal service machine operators in Maine	r=0.94	20yrs	267
The marriage rate in Alabama	r=0.91	23yrs	266
Burglaries in Texas	r=0.89	38yrs	265
The number of computer programmers in Michigan	r=0.93	20yrs	257
The marriage rate in Arizona	r=0.91	23yrs	256
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	254
Burglaries in Michigan	r=0.88	38yrs	254
The number of switchboard operators in New Jersey	r=0.94	20yrs	247
The marriage rate in Ohio	r=0.91	23yrs	246
Burglaries in Oklahoma	r=0.88	38yrs	244
Geothermal power generated in Austria	r=0.92	17yrs	242
The number of data entry keyers in New York	r=0.94	20yrs	237
The marriage rate in South Carolina	r=0.91	23yrs	236
Arson in Maine	r=0.87	38yrs	232
The number of chemical plant and system operators in North Carolina	r=0.94	20yrs	227
The marriage rate in South Dakota	r=0.9	23yrs	224
Arson in Colorado	r=0.87	38yrs	222
Kerosene used in Canada	r=0.88	43yrs	220
The number of boiler operators in Ohio	r=0.94	20yrs	217
The marriage rate in Virginia	r=0.9	23yrs	214
Burglaries in Rhode Island	r=0.87	38yrs	212
Kerosene used in Ecuador	r=0.89	42yrs	210
The number of travel agents in Oklahoma	r=0.94	20yrs	207
Motor vehicle thefts in Oklahoma	r=0.87	38yrs	202
Petroluem consumption in Hungary	r=0.87	43yrs	198
The number of library assistants in Oregon	r=0.94	20yrs	197
Robberies in Michigan	r=0.87	38yrs	192
Kerosene used in Uruguay	r=0.88	42yrs	188
The number of prepress technicians and workers in Pennsylvania	r=0.94	20yrs	187
Arson in Arizona	r=0.86	38yrs	180
The number of counter and rental clerks in Utah	r=0.94	20yrs	177
Kerosene used in Cabo Verde	r=0.87	42yrs	177
The divorce rate in Kentucky	r=0.9	23yrs	176
Burglaries in Alaska	r=0.86	38yrs	170
The number of postal service machine operators in Vermont	r=0.94	20yrs	167
Kerosene used in Hong Kong	r=0.86	42yrs	166
The marriage rate in Kentucky	r=0.9	23yrs	164
Burglaries in Montana	r=0.86	38yrs	160
The divorce rate in Ohio	r=0.89	23yrs	154
Burglaries in Connecticut	r=0.85	38yrs	149

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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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