Top variables that correlate with Popularity of the first name Chantelle

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Egypt	r=0.96	42yrs	430
Kerosene used in Pakistan	r=0.96	42yrs	430
Carjackings in the US	r=0.96	27yrs	424
Violent crime rates	r=0.93	38yrs	421
Robberies in New York	r=0.99	38yrs	420
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Kerosene used in Argentina	r=0.94	42yrs	398
Burglaries in New York	r=0.98	38yrs	388
The number of recreational therapists in Maine	r=0.96	18yrs	388
The marriage rate in Arizona	r=0.94	23yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
The wind speed in Austin	r=0.95	39yrs	379
The wind speed in San Diego	r=0.95	39yrs	379
Burglaries in Connecticut	r=0.98	38yrs	378
Physical album shipment volume in the United States	r=0.92	24yrs	378
The marriage rate in Tennessee	r=0.93	23yrs	378
Google searches for 'matt parker'	r=0.93	19yrs	376
Frozen yogurt consumption	r=0.93	32yrs	375
Google searches for 'black holes'	r=0.92	19yrs	374
Google searches for 'panama canal'	r=0.9	19yrs	372
Motor vehicle thefts in New Jersey	r=0.98	38yrs	368
Kerosene used in North Korea	r=0.94	42yrs	368
Customer satisfaction with Verizon	r=0.88	28yrs	368
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
Air pollution in Santa Maria, California	r=0.93	43yrs	362
US household spending on books	r=0.94	23yrs	360
Motor vehicle thefts in New York	r=0.98	38yrs	358
Air pollution in Santa Maria, California	r=0.91	42yrs	358
The number of switchboard operators in Indiana	r=0.94	20yrs	357
The number of typists in Michigan	r=0.94	20yrs	357
US household spending on beef	r=0.92	23yrs	357
Petroluem consumption in North Korea	r=0.93	42yrs	356
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	356
US household spending on clothing	r=0.9	23yrs	354
US average milk-fat content of frozen dairy products	r=0.92	22yrs	353
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	352
The divorce rate in Tennessee	r=0.92	23yrs	348
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	347
US birth rates of triplets or more	r=0.88	20yrs	346
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
Gasoline pumped in France	r=0.91	43yrs	344
The marriage rate in Ohio	r=0.92	23yrs	337
Burglaries in District of Columbia	r=0.96	38yrs	336
Kerosene used in Thailand	r=0.91	42yrs	333
The divorce rate in Alabama	r=0.91	23yrs	327
Motor vehicle thefts in Texas	r=0.96	38yrs	326
The number of typists in Illinois	r=0.93	20yrs	326
Gasoline pumped in Austria	r=0.9	43yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	322
Motor vehicle thefts in Texas	r=0.96	38yrs	316
The marriage rate in Idaho	r=0.91	23yrs	316
The number of typists in Indiana	r=0.93	20yrs	316
Google searches for 'Panama Canal'	r=0.89	19yrs	310
Motor vehicle thefts in Texas	r=0.96	38yrs	306
The marriage rate in Kentucky	r=0.91	23yrs	306
The number of file clerks in Maryland	r=0.93	20yrs	306
Jet fuel used in Ukraine	r=0.93	30yrs	304
The number of prepress technicians and workers in Mississippi	r=0.93	20yrs	296
Burglaries in New Jersey	r=0.95	38yrs	294
The marriage rate in Arkansas	r=0.9	23yrs	294
Petroluem consumption in Azerbaijan	r=0.92	30yrs	292
The number of typists in Oklahoma	r=0.93	20yrs	286
Burglaries in California	r=0.95	38yrs	284
The marriage rate in Virginia	r=0.9	23yrs	284
Petroluem consumption in Ukraine	r=0.9	30yrs	280
The number of data entry keyers in Alabama	r=0.92	20yrs	274
The number of switchboard operators in Florida	r=0.92	20yrs	264
Arson in United States	r=0.94	38yrs	262
The number of typists in Florida	r=0.92	20yrs	254
Robberies in the US	r=0.94	38yrs	252
Kerosene used in Cuba	r=0.9	42yrs	252
The number of telecommunications line installers and repairers in Illinois	r=0.92	20yrs	244
The marriage rate in South Carolina	r=0.9	23yrs	244
Burglary rates in the US	r=0.93	38yrs	241
Jet fuel used in Afghanistan	r=0.88	42yrs	238
The number of advertising sales agents in Louisiana	r=0.92	20yrs	234
The marriage rate in South Dakota	r=0.9	23yrs	234
Motor vehicle thefts	r=0.91	38yrs	228
Gasoline pumped in Cuba	r=0.88	42yrs	228
The number of typists in Massachusetts	r=0.92	20yrs	224
The marriage rate in Alabama	r=0.89	23yrs	222
Gasoline pumped in North Korea	r=0.86	42yrs	216
The number of pipelayers in Mississippi	r=0.92	20yrs	214
The marriage rate in Missouri	r=0.89	23yrs	212
Kerosene used in Venezuela	r=0.86	42yrs	206
Motor vehicle thefts in Illinois	r=0.95	38yrs	204
The number of computer programmers in New Jersey	r=0.91	20yrs	204
The marriage rate in North Carolina	r=0.88	23yrs	201
Gasoline pumped in Belgium	r=0.85	43yrs	195
Robberies in California	r=0.95	38yrs	194
The number of telemarketers in New Jersey	r=0.91	20yrs	194
The marriage rate in Wyoming	r=0.88	23yrs	191
The number of brokerage clerks in New York	r=0.92	20yrs	184
The divorce rate in New Hampshire	r=0.87	23yrs	181
Petroluem consumption in Uzbekistan	r=0.89	30yrs	178
The number of prepress technicians and workers in New York	r=0.92	20yrs	174
The divorce rate in North Carolina	r=0.87	23yrs	171
Petroluem consumption in Belarus	r=0.88	30yrs	166
The number of telemarketers in Oregon	r=0.91	20yrs	164
The divorce rate in Wyoming	r=0.87	23yrs	161
Gasoline pumped in Eritrea	r=0.86	28yrs	152

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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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