Top variables that correlate with Popularity of the first name Janel

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Carjackings in the US	r=0.96	27yrs	424
Burglaries in New York	r=0.98	38yrs	418
The marriage rate in Nevada	r=0.96	23yrs	413
The wind speed in Austin	r=0.95	39yrs	409
Frozen yogurt consumption	r=0.95	32yrs	408
Kerosene used in Uruguay	r=0.95	42yrs	399
Kerosene used in Turkiye	r=0.94	43yrs	398
Kerosene used in Argentina	r=0.93	42yrs	396
The number of fast food cooks in Michigan	r=0.98	20yrs	393
The number of computer programmers in Colorado	r=0.96	20yrs	392
The number of CEOs in South Carolina	r=0.96	20yrs	392
Burglaries in Connecticut	r=0.98	38yrs	388
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	388
The distance between Neptune and Earth	r=0.94	48yrs	386
The distance between Neptune and Mercury	r=0.94	48yrs	386
The distance between Neptune and the moon	r=0.94	48yrs	386
US birth rates of triplets or more	r=0.94	20yrs	384
The marriage rate in Idaho	r=0.95	23yrs	382
The divorce rate in Alabama	r=0.94	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	378
The wind speed in San Diego	r=0.94	39yrs	378
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
Google searches for 'desktop background'	r=0.93	16yrs	373
Viewership count for Days of Our Lives	r=0.88	47yrs	370
Violent crime rates	r=0.91	38yrs	368
Customer satisfaction with Verizon	r=0.88	28yrs	368
United States music album sales	r=0.9	16yrs	367
Gasoline pumped in France	r=0.91	43yrs	364
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
Air pollution in Los Angeles	r=0.93	43yrs	364
Air pollution in Los Angeles	r=0.93	43yrs	364
Air pollution in San Diego, California	r=0.94	43yrs	363
The number of switchboard operators in Indiana	r=0.96	20yrs	360
US household spending on books	r=0.94	23yrs	360
GMO use in cotton	r=0.91	23yrs	358
Motor vehicle thefts in New Jersey	r=0.97	38yrs	357
The distance between Neptune and the Sun	r=0.93	48yrs	355
Kerosene used in Thailand	r=0.92	42yrs	354
The number of meter readers, utilities in Iowa	r=0.96	20yrs	350
The divorce rate in North Carolina	r=0.93	23yrs	350
Burglaries in Florida	r=0.96	38yrs	346
Kerosene used in Venezuela	r=0.92	42yrs	344
The number of cashiers in Michigan	r=0.96	20yrs	340
The divorce rate in Wyoming	r=0.93	23yrs	340
Burglaries in District of Columbia	r=0.96	38yrs	336
Kerosene used in Cuba	r=0.91	42yrs	333
Air pollution in San Diego, California	r=0.94	43yrs	333
The number of brickmasons in Mississippi	r=0.96	20yrs	330
The marriage rate in Wyoming	r=0.93	23yrs	328
US average milk-fat content of frozen dairy products	r=0.95	22yrs	328
Robberies in New York	r=0.96	38yrs	326
Kerosene used in Norway	r=0.9	43yrs	322
Air pollution in Oxnard, California	r=0.94	41yrs	321
The number of meter readers, utilities in North Carolina	r=0.96	20yrs	320
The divorce rate in Kentucky	r=0.92	23yrs	318
Robberies in Washington	r=0.96	38yrs	316
The number of advertising and promotions managers in West Virginia	r=0.97	18yrs	310
Air pollution in Oxnard, California	r=0.92	43yrs	310
The divorce rate in Tennessee	r=0.92	23yrs	308
Arson in Georgia	r=0.95	38yrs	304
Jet fuel used in Ukraine	r=0.91	30yrs	301
The number of switchboard operators in Wisconsin	r=0.96	20yrs	300
Air pollution in Riverside, California	r=0.92	43yrs	300
The marriage rate in Alabama	r=0.92	23yrs	297
Burglaries in New Jersey	r=0.95	38yrs	294
Petroluem consumption in Uzbekistan	r=0.91	30yrs	291
The number of survey researchers in California	r=0.95	20yrs	288
The marriage rate in Arkansas	r=0.92	23yrs	287
Burglaries in Rhode Island	r=0.95	38yrs	284
The number of pipelayers in Indiana	r=0.95	20yrs	278
The marriage rate in South Dakota	r=0.92	23yrs	277
Burglaries in Virginia	r=0.95	38yrs	274
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	272
The number of typists in Kansas	r=0.95	20yrs	268
The marriage rate in Tennessee	r=0.92	23yrs	267
Burglaries in California	r=0.95	38yrs	264
Gasoline pumped in Kosovo	r=0.94	14yrs	260
The number of file clerks in Ohio	r=0.95	20yrs	258
The marriage rate in Virginia	r=0.92	23yrs	257
Robberies in Oregon	r=0.95	38yrs	254
Wind power generated in Fiji	r=0.91	15yrs	249
The marriage rate in Ohio	r=0.91	23yrs	246
The marriage rate in South Carolina	r=0.91	23yrs	236
Burglary rates in the US	r=0.95	38yrs	234
Gasoline pumped in Cuba	r=0.9	42yrs	232
The marriage rate in Kentucky	r=0.9	23yrs	224
Kerosene used in Portugal	r=0.9	43yrs	222
Robberies in the US	r=0.93	38yrs	221
The number of CEOs in Alabama	r=0.95	20yrs	220
The number of computer programmers in North Carolina	r=0.95	20yrs	210
Kerosene used in Brazil	r=0.89	42yrs	210
Motor vehicle thefts	r=0.91	38yrs	208
Gasoline pumped in Bulgaria	r=0.89	42yrs	200
The number of septic tank servicers and sewer pipe cleaners in Arkansas	r=0.94	20yrs	198
Petroluem consumption in Romania	r=0.89	42yrs	190
The number of prepress technicians and workers in California	r=0.95	20yrs	188
The number of proofreaders in Connecticut	r=0.95	20yrs	178
The number of computer programmers in Maryland	r=0.94	20yrs	168

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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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