Top variables that correlate with Popularity of the first name Ivonne

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

Variable	Correlation	Years	Sys. Score
US birth rates of triplets or more	r=0.95	20yrs	416
Google searches for 'oprah winfrey'	r=0.96	19yrs	410
The number of telemarketers in New York	r=0.96	20yrs	392
The number of prepress technicians and workers in Pennsylvania	r=0.97	20yrs	392
The number of switchboard operators in Alabama	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
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	388
Gasoline pumped in Latvia	r=0.94	31yrs	386
The divorce rate in Alabama	r=0.95	23yrs	383
Google searches for 'report UFO sighting'	r=0.93	19yrs	382
The divorce rate in Kentucky	r=0.94	23yrs	382
Violent crime rates	r=0.87	38yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Idaho	r=0.94	23yrs	380
Robberies in Kansas	r=0.92	38yrs	380
Robberies in South Carolina	r=0.92	38yrs	380
Milk consumption	r=0.94	32yrs	378
Google searches for 'shook'	r=0.94	19yrs	378
U.S. intercountry adoptions	r=0.92	23yrs	377
Pirate attacks globally	r=0.93	14yrs	374
Google searches for 'learn spanish'	r=0.92	19yrs	374
GMO use in corn grown in Texas	r=0.95	18yrs	372
Geothermal power generated in Austria	r=0.92	17yrs	372
GMO use in cotton	r=0.93	23yrs	362
Gasoline pumped in Spain	r=0.9	43yrs	362
The number of file clerks in Alabama	r=0.97	19yrs	360
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on postage and stationery	r=0.92	23yrs	357
US household spending on floor coverings	r=0.92	23yrs	357
US household spending on clothing	r=0.91	23yrs	356
US household spending on prescription drugs	r=0.91	23yrs	356
The number of telemarketers in California	r=0.95	20yrs	350
The divorce rate in Mississippi	r=0.93	23yrs	350
Robberies in Virginia	r=0.92	38yrs	350
Cottage cheese consumption	r=0.92	32yrs	344
GMO use in corn grown in Iowa	r=0.93	23yrs	344
Cigarette Smoking Rate for US adults	r=0.9	21yrs	342
The number of postal service machine operators in Iowa	r=0.96	20yrs	340
The divorce rate in North Carolina	r=0.93	23yrs	340
Google searches for 'desktop background'	r=0.91	16yrs	340
Viewership count of American Idol Season Finale	r=0.86	21yrs	340
Motor vehicle thefts in Indiana	r=0.91	38yrs	338
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	333
The number of switchboard operators in New Hampshire	r=0.96	20yrs	330
The divorce rate in Wyoming	r=0.93	23yrs	330
Robberies in Maryland	r=0.91	38yrs	328
Gasoline pumped in Finland	r=0.86	43yrs	326
The number of postal service machine operators in Oklahoma	r=0.96	20yrs	320
The marriage rate in Alabama	r=0.93	23yrs	318
Gasoline pumped in Switzerland	r=0.86	43yrs	316
GMO use in corn grown in Minnesota	r=0.93	23yrs	314
The number of postal service machine operators in Wisconsin	r=0.96	20yrs	310
The marriage rate in Nevada	r=0.93	23yrs	308
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	308
GMO use in corn grown in Nebraska	r=0.92	23yrs	303
Arson in Idaho	r=0.91	22yrs	302
The number of switchboard operators in Connecticut	r=0.96	19yrs	299
The divorce rate in Arkansas	r=0.92	23yrs	298
US average milk-fat content of frozen dairy products	r=0.95	22yrs	298
Petroluem consumption in Germany	r=0.88	32yrs	298
GMO use in corn	r=0.92	23yrs	293
Motor vehicle thefts	r=0.86	38yrs	290
The number of compensation and benefits managers in Maine	r=0.96	19yrs	289
The divorce rate in Florida	r=0.92	23yrs	288
US average milk-fat content of cottage cheese	r=0.95	22yrs	288
Gasoline pumped in Germany	r=0.88	32yrs	288
GMO use in cotton in Texas	r=0.94	23yrs	283
The number of data entry keyers in Connecticut	r=0.95	20yrs	278
The divorce rate in Washington	r=0.92	23yrs	278
Petroluem consumption in Uzbekistan	r=0.87	30yrs	275
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.9	22yrs	270
The number of switchboard operators in Wisconsin	r=0.95	20yrs	268
The marriage rate in Arkansas	r=0.92	23yrs	267
Motor vehicle thefts in Georgia	r=0.9	38yrs	266
Jet fuel used in Ukraine	r=0.86	30yrs	264
The number of compensation and benefits managers in Tennessee	r=0.95	19yrs	258
The marriage rate in Wyoming	r=0.92	23yrs	257
Motor vehicle thefts in Maryland	r=0.9	38yrs	256
The divorce rate in Idaho	r=0.91	23yrs	247
Robberies in North Carolina	r=0.9	38yrs	246
The number of executive administrative assistants in Kentucky	r=0.96	13yrs	243
The marriage rate in South Dakota	r=0.91	23yrs	236
Arson in Missouri	r=0.89	38yrs	235
The number of judicial law clerks in Ohio	r=0.95	13yrs	232
The divorce rate in Tennessee	r=0.9	23yrs	226
Burglaries in North Carolina	r=0.89	38yrs	225
Motor vehicle thefts in Florida	r=0.89	38yrs	215
The marriage rate in Louisiana	r=0.9	23yrs	214
Robberies in Pennsylvania	r=0.89	38yrs	205
The number of bill collectors in Maryland	r=0.95	20yrs	200
Robberies in Texas	r=0.89	38yrs	195
The number of computer programmers in Michigan	r=0.95	20yrs	190
Motor vehicle thefts in Ohio	r=0.88	38yrs	184
The number of bill collectors in Colorado	r=0.94	20yrs	178
The divorce rate in Nevada	r=0.9	23yrs	176
Motor vehicle thefts in Louisiana	r=0.88	38yrs	174
The number of typists in Florida	r=0.95	20yrs	168
The divorce rate in Oregon	r=0.9	23yrs	166
Robberies in Missouri	r=0.88	38yrs	164
The divorce rate in Virginia	r=0.9	23yrs	156
Robberies in Arkansas	r=0.88	38yrs	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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