Top variables that correlate with Popularity of the first name Alix

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Alix correlates with...

Variable	Correlation	Years	Has img?
Carjackings in the US	r=0.97	27yrs	Yes!
The marriage rate in Nevada	r=0.96	23yrs	No
Frozen yogurt consumption	r=0.96	32yrs	No
The number of computer programmers in Colorado	r=0.95	20yrs	No
Violent crime rates	r=0.95	38yrs	No
Robberies in Maryland	r=0.93	38yrs	No
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	No
US household spending on books	r=0.92	23yrs	No
US birth rates of triplets or more	r=0.92	20yrs	No
Jet fuel used in Germany, West	r=0.91	11yrs	No
Gasoline pumped in Germany	r=0.91	32yrs	No
The marriage rate in Louisiana	r=0.89	23yrs	No
The divorce rate in Wyoming	r=0.89	23yrs	No

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

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.95	24yrs	412
Motor vehicle thefts	r=0.92	38yrs	400
The number of prepress technicians and workers in Illinois	r=0.97	20yrs	392
The number of typists in Iowa	r=0.97	20yrs	392
The number of file clerks in Michigan	r=0.97	20yrs	392
The divorce rate in Tennessee	r=0.95	23yrs	383
The marriage rate in Tennessee	r=0.95	23yrs	382
Petroluem consumption in Uzbekistan	r=0.92	30yrs	382
Jet fuel used in Ukraine	r=0.91	30yrs	381
Google searches for 'panama canal'	r=0.94	19yrs	378
Google searches for 'learn spanish'	r=0.94	19yrs	378
Google searches for 'Panama Canal'	r=0.94	19yrs	378
NASA's budget appropriation	r=0.86	48yrs	369
United States music album sales	r=0.91	16yrs	368
Robberies in the US	r=0.9	38yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
The number of CEOs in Ohio	r=0.96	20yrs	362
US household spending on clothing	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
AIG's stock price (AIG)	r=0.86	21yrs	356
US household spending on clothin for women	r=0.91	23yrs	356
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	22yrs	354
The number of brickmasons in Alabama	r=0.96	20yrs	350
The marriage rate in Idaho	r=0.94	23yrs	350
Google searches for 'black holes'	r=0.94	19yrs	348
Google searches for 'report UFO sighting'	r=0.89	19yrs	346
Motor vehicle thefts in Florida	r=0.94	38yrs	342
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	342
GMO use in corn grown in South Dakota	r=0.91	23yrs	342
The marriage rate in Wyoming	r=0.94	23yrs	340
GMO use in corn grown in Texas	r=0.93	18yrs	340
GMO use in cotton in North Carolina	r=0.91	23yrs	338
Google searches for 'snoop dog'	r=0.91	19yrs	333
Motor vehicle thefts in Pennsylvania	r=0.93	38yrs	331
The number of postal service machine operators in Connecticut	r=0.96	20yrs	330
The divorce rate in Alabama	r=0.93	23yrs	330
Google searches for 'oprah winfrey'	r=0.9	19yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	322
US household spending on floor coverings	r=0.89	23yrs	322
Robberies in Kansas	r=0.93	38yrs	321
The number of typists in Florida	r=0.96	20yrs	320
The marriage rate in Alabama	r=0.93	23yrs	318
Robberies in Louisiana	r=0.93	38yrs	311
The number of file clerks in Georgia	r=0.96	20yrs	310
The marriage rate in Arkansas	r=0.93	23yrs	308
Petroluem consumption in Azerbaijan	r=0.89	30yrs	308
US milk fat used to produce fluid beverage milk	r=0.89	22yrs	302
The number of human resources assistants in Illinois	r=0.96	20yrs	300
The marriage rate in Kentucky	r=0.93	23yrs	298
Petroluem consumption in Germany	r=0.87	32yrs	297
Robberies in Missouri	r=0.93	38yrs	291
The number of switchboard operators in Indiana	r=0.96	20yrs	290
Milk consumption	r=0.88	32yrs	289
The marriage rate in Ohio	r=0.93	23yrs	288
Gasoline pumped in Latvia	r=0.85	31yrs	283
Robberies in Texas	r=0.93	38yrs	281
The number of typists in Indiana	r=0.96	20yrs	280
The marriage rate in Virginia	r=0.93	23yrs	278
Google searches for 'matt parker'	r=0.88	19yrs	278
Cottage cheese consumption	r=0.86	32yrs	274
Petroluem consumption in Ukraine	r=0.85	30yrs	272
The number of file clerks in Maryland	r=0.96	20yrs	270
Motor vehicle thefts in Indiana	r=0.92	38yrs	270
The marriage rate in Arizona	r=0.92	23yrs	267
Google searches for 'desktop background'	r=0.88	16yrs	266
The number of cashiers in Michigan	r=0.96	20yrs	260
Motor vehicle thefts in Georgia	r=0.91	38yrs	258
The marriage rate in South Carolina	r=0.92	23yrs	257
Customer satisfaction with Frontier Communications	r=0.83	28yrs	255
The number of typists in Michigan	r=0.96	20yrs	250
Robberies in Illinois	r=0.91	38yrs	248
The marriage rate in South Dakota	r=0.92	23yrs	247
The number of office clerks in Minnesota	r=0.96	20yrs	240
The divorce rate in North Carolina	r=0.91	23yrs	237
Motor vehicle thefts in Virginia	r=0.9	38yrs	236
The number of floral designers in North Carolina	r=0.96	20yrs	230
Motor vehicle thefts in Louisiana	r=0.9	38yrs	226
The number of furniture finishers in North Carolina	r=0.96	20yrs	220
The number of typists in Ohio	r=0.96	20yrs	210
Arson in Idaho	r=0.91	22yrs	202
The number of sewing machine operators in Pennsylvania	r=0.96	20yrs	200
The marriage rate in Missouri	r=0.9	23yrs	194
The divorce rate in Nevada	r=0.89	23yrs	184
Arson in North Carolina	r=0.89	38yrs	175
The divorce rate in New Hampshire	r=0.89	23yrs	174
Arson in Texas	r=0.89	38yrs	165
Arson in Wisconsin	r=0.89	38yrs	155

Loading...!

<< Back to discover a correlation

^{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.)


Issue:
Additional details: Optional
Confirm you are a human: