Top variables that correlate with Popularity of the first name Jodie

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

Variable	Correlation	Years	Has img?
How good PBS Space Time YouTube video titles are	r=0.95	8yrs	Yes!

Popularity of the first name Jodie also correlates with...

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Arson in United States	r=0.95	38yrs	434
Carjackings in the US	r=0.95	27yrs	423
Average number of milk cows in the United States	r=0.91	43yrs	418
Burglaries in New York	r=0.97	38yrs	417
The marriage rate in Nevada	r=0.95	23yrs	412
Kerosene used in Turkiye	r=0.94	43yrs	398
Kerosene used in Mexico	r=0.95	40yrs	397
Kerosene used in Portugal	r=0.92	43yrs	396
Air pollution in Norwich, Connecticut	r=0.95	42yrs	394
The number of chemists in District of Columbia	r=0.95	20yrs	388
Burglaries in California	r=0.97	38yrs	387
The divorce rate in Alabama	r=0.94	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Idaho	r=0.94	23yrs	380
Burglaries in Colorado	r=0.97	38yrs	377
Popularity of the 'all your base' meme	r=0.91	17yrs	377
Frozen yogurt consumption	r=0.93	32yrs	375
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
Google searches for 'learn spanish'	r=0.91	19yrs	373
The wind speed in Austin	r=0.9	39yrs	372
Arson in California	r=0.96	38yrs	366
Kerosene used in Bolivia	r=0.92	42yrs	364
Citigroup's stock price (C)	r=0.89	21yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
The number of locksmiths and safe repairers in District of Columbia	r=0.95	20yrs	358
Air pollution in Norwich, Connecticut	r=0.91	42yrs	358
The number of prepress technicians and workers in New Hampshire	r=0.94	20yrs	357
Air pollution in Manchester, New Hampshire	r=0.9	43yrs	357
Arson in Colorado	r=0.96	38yrs	356
Kerosene used in Norway	r=0.91	43yrs	354
The marriage rate in Wyoming	r=0.93	23yrs	348
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	346
GMO use in corn grown in South Dakota	r=0.94	23yrs	346
The distance between Neptune and Mercury	r=0.87	48yrs	346
Kerosene used in Uruguay	r=0.92	42yrs	344
Cottage cheese consumption	r=0.91	32yrs	342
Google searches for 'snoop dog'	r=0.89	19yrs	340
GMO use in cotton in North Carolina	r=0.91	23yrs	338
Google searches for 'black holes'	r=0.88	19yrs	338
The marriage rate in Alabama	r=0.92	23yrs	337
Robberies in Oregon	r=0.96	38yrs	336
Gasoline pumped in Bulgaria	r=0.9	42yrs	332
The number of sewing machine operators in Tennessee	r=0.94	20yrs	327
The marriage rate in Arkansas	r=0.91	23yrs	326
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	325
Burglaries in Connecticut	r=0.95	38yrs	324
The marriage rate in Tennessee	r=0.91	23yrs	316
The number of postal service machine operators in Arizona	r=0.93	20yrs	316
Gasoline pumped in Germany	r=0.91	32yrs	313
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.92	22yrs	313
The divorce rate in North Carolina	r=0.9	23yrs	306
The number of typists in Arizona	r=0.93	20yrs	306
US average milk-fat content of frozen dairy products	r=0.91	22yrs	302
Burglary rates in the US	r=0.93	38yrs	301
Jet fuel used in Ukraine	r=0.91	30yrs	301
The number of telephone operators in Florida	r=0.94	19yrs	296
Petroluem consumption in Uzbekistan	r=0.91	30yrs	291
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	22yrs	290
The number of maintenance workers, machinery in Florida	r=0.93	20yrs	286
Liquefied petroleum gas used in Greenland	r=0.94	22yrs	278
The number of couriers and messengers in Kansas	r=0.93	20yrs	276
Arson in Nevada	r=0.95	38yrs	274
Milk consumption	r=0.89	32yrs	270
The number of paper goods machine setters, operators, and tenders in Louisiana	r=0.93	20yrs	266
The divorce rate in Tennessee	r=0.9	23yrs	266
Arson in New York	r=0.95	38yrs	264
The number of CEOs in New Jersey	r=0.92	20yrs	256
Burglaries in Alaska	r=0.95	38yrs	254
The marriage rate in Virginia	r=0.9	23yrs	254
Petroluem consumption in Bulgaria	r=0.9	42yrs	252
The number of dietetic technicians in Rhode Island	r=0.93	20yrs	246
Burglaries in Minnesota	r=0.95	38yrs	244
The marriage rate in Arizona	r=0.89	23yrs	242
Kerosene used in United States	r=0.89	43yrs	241
Robberies in Michigan	r=0.95	38yrs	234
The number of professional painters in Alabama	r=0.92	20yrs	234
The marriage rate in South Dakota	r=0.88	23yrs	231
Kerosene used in Cabo Verde	r=0.88	42yrs	228
The number of sewing machine operators in Alabama	r=0.92	20yrs	224
Burglaries in New Jersey	r=0.94	38yrs	222
The divorce rate in Kentucky	r=0.87	23yrs	221
Kerosene used in Ecuador	r=0.88	42yrs	218
The number of detectives and criminal investigators in Alaska	r=0.92	20yrs	214
Burglaries in Oregon	r=0.94	38yrs	212
The marriage rate in Kentucky	r=0.87	23yrs	210
Kerosene used in Hong Kong	r=0.88	42yrs	208
The number of tool and die makers in Arkansas	r=0.92	20yrs	204
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	202
The marriage rate in Ohio	r=0.87	23yrs	200
Kerosene used in Romania	r=0.87	42yrs	197
The number of tapers in Illinois	r=0.92	20yrs	194
Arson in New Jersey	r=0.93	38yrs	191
The marriage rate in South Carolina	r=0.87	23yrs	190
Kerosene used in Canada	r=0.86	43yrs	186
The number of psychiatric aides in Massachusetts	r=0.93	19yrs	184
The divorce rate in Florida	r=0.85	23yrs	178
Gasoline pumped in Guam	r=0.86	42yrs	176
The number of payroll and timekeeping clerks in Michigan	r=0.92	20yrs	174
Kerosene used in Italy	r=0.86	43yrs	166
The number of floral designers in Mississippi	r=0.92	20yrs	164

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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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