Top variables that correlate with Popularity of the first name Chelsie

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

Variable	Correlation	Years	Has img?
Season wins for the San Francisco 49ers	r=0.52	48yrs	No

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

Variable	Correlation	Years	Sys. Score
Carjackings in the US	r=0.96	27yrs	424
Violent crime rates	r=0.95	38yrs	424
Petroluem consumption in Ukraine	r=0.96	30yrs	418
Motor vehicle thefts in New York	r=0.97	38yrs	417
Jet fuel used in Ukraine	r=0.95	30yrs	417
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	393
The number of prepress technicians and workers in Arkansas	r=0.97	20yrs	392
The number of switchboard operators in Alabama	r=0.96	20yrs	390
The number of switchboard operators in Arizona	r=0.96	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	388
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	388
Petroluem consumption in Belarus	r=0.95	30yrs	387
US birth rates of triplets or more	r=0.95	20yrs	386
Robberies in New York	r=0.95	38yrs	384
The marriage rate in Nevada	r=0.95	23yrs	382
The divorce rate in North Carolina	r=0.94	23yrs	382
The divorce rate in Wyoming	r=0.94	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
Cigarette Smoking Rate for US adults	r=0.93	21yrs	376
Viewership count of American Idol Season Finale	r=0.9	21yrs	376
Frozen yogurt consumption	r=0.92	32yrs	374
Google searches for 'desktop background'	r=0.94	16yrs	374
Google searches for 'shook'	r=0.91	19yrs	373
Google searches for 'oprah winfrey'	r=0.9	19yrs	372
The wind speed in San Diego	r=0.9	39yrs	372
United States music album sales	r=0.91	16yrs	368
Customer satisfaction with Verizon	r=0.86	28yrs	364
Robberies in the US	r=0.93	38yrs	361
The number of postal service machine operators in Idaho	r=0.96	20yrs	360
US household spending on clothing	r=0.94	23yrs	360
GMO use in cotton	r=0.9	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Petroluem consumption in Azerbaijan	r=0.91	30yrs	351
The number of switchboard operators in Iowa	r=0.96	20yrs	350
The marriage rate in Idaho	r=0.94	23yrs	350
Motor vehicle thefts	r=0.9	38yrs	346
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
GMO use in corn grown in Texas	r=0.94	18yrs	341
The number of switchboard operators in Maryland	r=0.96	20yrs	340
The divorce rate in Alabama	r=0.93	23yrs	340
GMO use in cotton in North Carolina	r=0.9	23yrs	337
Liquefied petroleum gas used in Greenland	r=0.91	22yrs	333
The number of file clerks in Massachusetts	r=0.96	20yrs	330
The divorce rate in Kentucky	r=0.93	23yrs	330
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	328
Robberies in Illinois	r=0.95	38yrs	324
Geothermal power generated in Austria	r=0.92	17yrs	322
The number of computer programmers in Michigan	r=0.95	20yrs	320
The marriage rate in Alabama	r=0.93	23yrs	318
US average milk-fat content of frozen dairy products	r=0.94	22yrs	316
Robberies in California	r=0.95	38yrs	314
The number of conveyor operators in New Jersey	r=0.96	20yrs	310
Google searches for 'learn spanish'	r=0.89	19yrs	310
The marriage rate in Arkansas	r=0.93	23yrs	308
Gasoline pumped in Kosovo	r=0.93	14yrs	308
GMO use in cotton in Texas	r=0.9	23yrs	307
Motor vehicle thefts in Texas	r=0.93	38yrs	301
The number of computer programmers in New York	r=0.95	20yrs	300
The marriage rate in Wyoming	r=0.93	23yrs	298
Google searches for 'black holes'	r=0.87	19yrs	297
GMO use in corn grown in Texas	r=0.91	18yrs	296
Motor vehicle thefts in Texas	r=0.93	38yrs	291
The number of telemarketers in New York	r=0.95	20yrs	290
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	290
The divorce rate in New Hampshire	r=0.92	23yrs	288
Google searches for 'panama canal'	r=0.86	19yrs	286
Motor vehicle thefts in Texas	r=0.93	38yrs	281
The number of prepress technicians and workers in Pennsylvania	r=0.96	20yrs	280
The divorce rate in Tennessee	r=0.92	23yrs	278
Kerosene used in French Polynesia	r=0.87	32yrs	277
Robberies in Missouri	r=0.93	38yrs	271
The number of file clerks in Washington	r=0.96	20yrs	270
The marriage rate in South Dakota	r=0.92	23yrs	267
Kerosene used in Kazakhstan	r=0.86	30yrs	264
Robberies in Texas	r=0.93	38yrs	261
The number of file clerks in Puerto Rico	r=0.96	20yrs	260
The divorce rate in Delaware	r=0.91	23yrs	257
Gasoline pumped in Belarus	r=0.85	30yrs	252
Burglaries in District of Columbia	r=0.92	38yrs	250
The number of file clerks in Alabama	r=0.95	19yrs	248
The divorce rate in Mississippi	r=0.91	23yrs	247
Liquefied petroleum gas used in Belarus	r=0.85	30yrs	242
Motor vehicle thefts in New Jersey	r=0.92	38yrs	240
The number of switchboard operators in California	r=0.95	20yrs	238
The marriage rate in Arizona	r=0.91	23yrs	236
Jet fuel used in Saint Vincent/Grenadines	r=0.88	24yrs	230
The number of cooks, institution and cafeteria in Louisiana	r=0.95	20yrs	228
Motor vehicle thefts in Pennsylvania	r=0.91	38yrs	228
The marriage rate in Kentucky	r=0.91	23yrs	226
The number of postmasters in Maryland	r=0.95	20yrs	218
Robberies in Connecticut	r=0.91	38yrs	218
The marriage rate in Virginia	r=0.91	23yrs	216
The number of data entry keyers in Minnesota	r=0.95	20yrs	208
Robberies in Connecticut	r=0.91	38yrs	208
The divorce rate in Missouri	r=0.9	23yrs	206
The number of file clerks in Mississippi	r=0.95	20yrs	198
The divorce rate in Oregon	r=0.9	23yrs	196
The marriage rate in Louisiana	r=0.9	23yrs	184
Robberies in Washington	r=0.9	38yrs	166
Burglaries in Kansas	r=0.89	38yrs	155

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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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