Top variables that correlate with Popularity of the first name Felisha

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

Variable	Correlation	Years	Has img?
The number of cartographers in New York	r=0.84	17yrs	Yes!
Average number of comments on Computerphile YouTube videos	r=0.15	7yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Burglary rates in the US	r=0.95	35yrs	431
Carjackings in the US	r=0.96	25yrs	422
Burglaries in New York	r=0.99	35yrs	417
The marriage rate in Tennessee	r=0.96	21yrs	411
The divorce rate in New Hampshire	r=0.95	21yrs	411
The divorce rate in Oregon	r=0.95	21yrs	411
Kerosene used in Egypt	r=0.95	40yrs	397
Kerosene used in Pakistan	r=0.95	40yrs	397
Remaining Forest Cover in the Brazilian Amazon	r=0.94	33yrs	396
Kerosene used in Argentina	r=0.91	40yrs	391
The number of machinists in New Jersey	r=0.97	17yrs	388
The number of postal service machine operators in Arkansas	r=0.96	17yrs	387
The number of prepress technicians and workers in California	r=0.96	17yrs	387
Burglaries in Connecticut	r=0.98	35yrs	386
The divorce rate in Tennessee	r=0.95	21yrs	381
Motor vehicle thefts in Massachusetts	r=0.98	35yrs	376
Physical album shipment volume in the United States	r=0.93	21yrs	376
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
The wind speed in San Diego	r=0.94	35yrs	374
Frozen yogurt consumption	r=0.93	30yrs	373
xkcd comics published about romance	r=0.92	13yrs	373
Google searches for 't-rex'	r=0.91	16yrs	370
The wind speed in Austin	r=0.92	35yrs	370
The wind speed in Nashville	r=0.91	35yrs	369
Google searches for 'desktop background'	r=0.92	13yrs	368
Customer satisfaction with Verizon	r=0.89	26yrs	367
Robberies in New York	r=0.98	35yrs	366
Customer satisfaction with Frontier Communications	r=0.86	26yrs	362
Kerosene used in North Korea	r=0.91	40yrs	361
US household spending on clothing for men	r=0.95	20yrs	358
Air pollution in Santa Maria, California	r=0.93	40yrs	358
US household spending on processed fruits	r=0.94	20yrs	357
US household spending on clothing	r=0.94	20yrs	357
US household spending on books	r=0.94	20yrs	357
The number of meter readers, utilities in Maryland	r=0.96	17yrs	357
Air pollution in Santa Maria, California	r=0.91	40yrs	356
US household spending on clothin for women	r=0.92	20yrs	354
Arson in New York	r=0.97	35yrs	354
US average milk-fat content of frozen dairy products	r=0.93	20yrs	352
Air pollution in Steamboat Springs, Colorado	r=0.92	35yrs	352
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	20yrs	350
The number of carpenters in Mississippi	r=0.96	17yrs	347
Burglaries in California	r=0.97	35yrs	344
Jet fuel used in Ukraine	r=0.93	28yrs	342
The marriage rate in Nevada	r=0.95	21yrs	340
The number of library assistants in Oregon	r=0.96	17yrs	337
Motor vehicle thefts in New Jersey	r=0.97	35yrs	334
The divorce rate in North Carolina	r=0.94	21yrs	330
Petroluem consumption in Ukraine	r=0.92	28yrs	330
The number of conveyor operators in Alabama	r=0.95	17yrs	326
Burglaries in Florida	r=0.96	35yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	20yrs	320
The divorce rate in Ohio	r=0.94	21yrs	320
Petroluem consumption in Azerbaijan	r=0.91	28yrs	319
The number of postal service machine operators in Kentucky	r=0.95	17yrs	316
Burglaries in Rhode Island	r=0.96	35yrs	312
Petroluem consumption in Belarus	r=0.91	28yrs	309
The divorce rate in Alabama	r=0.93	21yrs	308
The number of data entry keyers in Kentucky	r=0.95	17yrs	306
Motor vehicle thefts in New York	r=0.96	35yrs	302
The number of postmasters in Maryland	r=0.95	17yrs	296
The marriage rate in Arkansas	r=0.93	21yrs	296
Liquefied petroleum gas used in Greenland	r=0.93	20yrs	294
Burglaries in Massachusetts	r=0.95	35yrs	291
The number of postal service machine operators in Mississippi	r=0.95	17yrs	286
The marriage rate in Ohio	r=0.93	21yrs	286
Burglaries in New Jersey	r=0.95	35yrs	281
The number of postal service machine operators in New Mexico	r=0.95	17yrs	276
The marriage rate in South Carolina	r=0.93	21yrs	276
Motor vehicle thefts in Oklahoma	r=0.95	35yrs	271
Petroluem consumption in North Korea	r=0.9	40yrs	270
The number of postmasters in North Carolina	r=0.95	17yrs	266
The marriage rate in South Dakota	r=0.93	21yrs	266
Robberies in Oregon	r=0.95	35yrs	261
Jet fuel used in Afghanistan	r=0.89	40yrs	258
The divorce rate in Florida	r=0.92	21yrs	256
Gasoline pumped in Austria	r=0.89	40yrs	248
The divorce rate in Maine	r=0.92	21yrs	246
Arson in United States	r=0.93	35yrs	238
Gasoline pumped in France	r=0.89	40yrs	238
The divorce rate in Vermont	r=0.92	21yrs	236
Jet fuel used in French Polynesia	r=0.89	40yrs	228
The number of computer programmers in Michigan	r=0.95	17yrs	227
Robberies in the US	r=0.92	35yrs	226
The marriage rate in Alabama	r=0.92	21yrs	225
Kerosene used in Thailand	r=0.89	40yrs	218
The number of telemarketers in California	r=0.94	17yrs	216
The marriage rate in Idaho	r=0.92	21yrs	215
The number of postal service machine operators in Idaho	r=0.95	17yrs	206
Kerosene used in Cuba	r=0.88	40yrs	206
The marriage rate in Kentucky	r=0.92	21yrs	205
Burglaries in Virginia	r=0.95	35yrs	201
The number of postal service machine operators in Nebraska	r=0.95	17yrs	196
Gasoline pumped in Cuba	r=0.87	40yrs	195
The marriage rate in Virginia	r=0.92	21yrs	195
Motor vehicle thefts in Texas	r=0.95	35yrs	191
The number of computer programmers in Ohio	r=0.94	17yrs	186
Kerosene used in Venezuela	r=0.87	40yrs	185
The marriage rate in Wyoming	r=0.92	21yrs	185
The number of postal service machine operators in Pennsylvania	r=0.95	17yrs	176
The number of postal service machine operators in Vermont	r=0.95	17yrs	166

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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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