Top variables that correlate with Popularity of the first name Jody

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.95	40yrs	427
Average number of milk cows in the United States	r=0.92	43yrs	420
Burglaries in Colorado	r=0.98	38yrs	418
US birth rates of triplets or more	r=0.95	20yrs	416
Burglaries in Oregon	r=0.96	38yrs	416
The marriage rate in Alabama	r=0.97	23yrs	414
The marriage rate in Idaho	r=0.97	23yrs	414
The marriage rate in Nevada	r=0.95	23yrs	412
United States music album sales	r=0.95	16yrs	404
Arson in Idaho	r=0.96	22yrs	400
Kerosene used in Portugal	r=0.95	43yrs	400
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	398
GMO use in cotton	r=0.95	23yrs	394
The number of typists in New Jersey	r=0.97	20yrs	392
Carjackings in the US	r=0.93	27yrs	390
The number of postal service machine operators in Iowa	r=0.96	20yrs	390
The number of postal service machine operators in Nebraska	r=0.96	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	388
Physical album shipment volume in the United States	r=0.94	24yrs	381
Cigarette Smoking Rate for US adults	r=0.91	21yrs	374
Google searches for 'desktop background'	r=0.93	16yrs	373
Pirate attacks globally	r=0.92	14yrs	372
Google searches for 'oprah winfrey'	r=0.9	19yrs	372
Kerosene used in Norway	r=0.92	43yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in Norwich, Connecticut	r=0.94	42yrs	362
The number of conveyor operators in New Jersey	r=0.96	20yrs	360
US household spending on clothin for women	r=0.93	23yrs	358
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	358
US household spending on clothing	r=0.92	23yrs	357
Air pollution in Spokane, Washington	r=0.9	43yrs	357
US household spending on fresh milk and cream	r=0.91	23yrs	356
Kerosene used in Bolivia	r=0.91	42yrs	353
The divorce rate in North Carolina	r=0.95	23yrs	353
The number of postal service machine operators in New Mexico	r=0.96	20yrs	350
Cottage cheese consumption	r=0.92	32yrs	344
Petroluem consumption in Bulgaria	r=0.91	42yrs	343
The divorce rate in Alabama	r=0.94	23yrs	342
Burglaries in Washington	r=0.94	38yrs	342
The number of file clerks in Ohio	r=0.96	20yrs	340
Kerosene used in U.S. Pacific Islands	r=0.91	42yrs	333
The divorce rate in Kentucky	r=0.94	23yrs	332
Burglaries in California	r=0.94	38yrs	332
Frozen yogurt consumption	r=0.91	32yrs	332
The number of payroll and timekeeping clerks in Wisconsin	r=0.96	20yrs	330
Kerosene used in Canada	r=0.9	43yrs	322
Robberies in Oregon	r=0.94	38yrs	322
The number of postal service machine operators in Wisconsin	r=0.96	20yrs	320
The marriage rate in Wyoming	r=0.94	23yrs	320
Arson in New York	r=0.93	38yrs	311
The number of switchboard operators in Alabama	r=0.95	20yrs	308
The marriage rate in Arkansas	r=0.93	23yrs	308
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.94	22yrs	306
Jet fuel used in Ukraine	r=0.91	30yrs	301
Burglaries in Michigan	r=0.92	38yrs	300
The number of postal service machine operators in Arkansas	r=0.95	20yrs	298
The divorce rate in Florida	r=0.92	23yrs	298
US average milk-fat content of frozen dairy products	r=0.94	22yrs	296
Burglaries in New York	r=0.92	38yrs	290
Petroluem consumption in Uzbekistan	r=0.9	30yrs	290
The number of postal service machine operators in Vermont	r=0.95	20yrs	288
The divorce rate in Tennessee	r=0.92	23yrs	288
US average milk-fat content of cottage cheese	r=0.93	22yrs	284
The divorce rate in Washington	r=0.92	23yrs	278
Arson in Colorado	r=0.91	38yrs	278
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	274
The number of labor relations specialists in Alaska	r=0.96	11yrs	271
The divorce rate in Wyoming	r=0.92	23yrs	268
Burglaries in Oklahoma	r=0.91	38yrs	268
Robberies in Michigan	r=0.91	38yrs	258
The marriage rate in South Dakota	r=0.92	23yrs	257
Gasoline pumped in Bulgaria	r=0.9	42yrs	252
The divorce rate in Mississippi	r=0.91	23yrs	247
Burglaries in Alaska	r=0.9	38yrs	246
Kerosene used in Cabo Verde	r=0.9	42yrs	242
The number of telemarketers in California	r=0.95	20yrs	240
The divorce rate in Virginia	r=0.91	23yrs	237
Burglaries in Montana	r=0.9	38yrs	236
Kerosene used in Romania	r=0.9	42yrs	232
The number of file clerks in Arkansas	r=0.95	20yrs	228
The marriage rate in Kentucky	r=0.91	23yrs	226
Burglaries in Nevada	r=0.9	38yrs	226
Kerosene used in Uruguay	r=0.89	42yrs	220
The number of postal service machine operators in Connecticut	r=0.95	20yrs	218
The marriage rate in Virginia	r=0.91	23yrs	216
Burglaries in Texas	r=0.9	38yrs	216
The number of postal service machine operators in Idaho	r=0.95	20yrs	208
Kerosene used in Ecuador	r=0.88	42yrs	208
The divorce rate in Maine	r=0.9	23yrs	206
The number of file clerks in Massachusetts	r=0.95	20yrs	198
Kerosene used in United States	r=0.87	43yrs	198
Burglary rates in the US	r=0.88	38yrs	194
The number of computer programmers in Michigan	r=0.94	20yrs	188
Kerosene used in Hong Kong	r=0.86	42yrs	186
Arson in United States	r=0.87	38yrs	182
The number of file clerks in Minnesota	r=0.95	20yrs	178
Petroluem consumption in Hungary	r=0.86	43yrs	176
Arson in Iowa	r=0.91	22yrs	172
The number of postal service machine operators in North Dakota	r=0.95	20yrs	168

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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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