Top variables that correlate with Popularity of the first name Cornelius

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

Variable	Correlation	Years	Sys. Score
Burglary rates in the US	r=0.97	38yrs	437
Arson in United States	r=0.95	38yrs	434
The distance between Neptune and the Sun	r=0.96	48yrs	420
The distance between Neptune and Earth	r=0.96	48yrs	420
The distance between Neptune and Mercury	r=0.96	48yrs	420
Burglaries in Florida	r=0.98	38yrs	418
Viewership count for Days of Our Lives	r=0.91	47yrs	404
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Patents granted to Toshiba	r=0.95	12yrs	400
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in San Diego, California	r=0.97	43yrs	398
Kerosene used in Argentina	r=0.94	42yrs	398
Kerosene used in Venezuela	r=0.94	42yrs	398
Gasoline pumped in Cuba	r=0.93	42yrs	396
Air pollution in San Diego, California	r=0.95	43yrs	394
The number of legislators in Virginia	r=0.96	20yrs	392
The distance between Neptune and the moon	r=0.96	48yrs	390
Burglaries in New York	r=0.98	38yrs	388
The number of tax examiners and collectors, and revenue agents in Oregon	r=0.96	13yrs	383
The number of labor relations specialists in Arkansas	r=0.96	11yrs	381
Burglaries in Connecticut	r=0.98	38yrs	378
The divorce rate in Kentucky	r=0.9	23yrs	376
The wind speed in Austin	r=0.93	39yrs	376
Cottage cheese consumption	r=0.93	32yrs	375
Milk consumption	r=0.91	32yrs	374
The wind speed in San Diego	r=0.91	39yrs	373
United States music album sales	r=0.93	16yrs	372
Burglaries in Texas	r=0.97	38yrs	367
Gasoline pumped in France	r=0.92	43yrs	366
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	357
Kerosene used in Thailand	r=0.93	42yrs	356
Burglaries in Massachusetts	r=0.96	38yrs	346
Kerosene used in Turkiye	r=0.92	43yrs	346
US birth rates of triplets or more	r=0.87	20yrs	344
The divorce rate in Delaware	r=0.89	23yrs	344
The divorce rate in Illinois	r=0.89	23yrs	344
Viewership count of American Idol Season Finale	r=0.87	21yrs	342
Air pollution in Los Angeles	r=0.95	43yrs	338
Burglaries in Minnesota	r=0.96	38yrs	336
Kerosene used in Brazil	r=0.92	42yrs	334
The number of computer programmers in Pennsylvania	r=0.95	20yrs	330
Burglaries in New Mexico	r=0.96	38yrs	326
Gasoline pumped in Bulgaria	r=0.92	42yrs	324
Air pollution in Oxnard, California	r=0.94	43yrs	323
The number of electrical and electronics repairers, commercial and industrial equipment in Connecticut	r=0.94	20yrs	317
Burglaries in Rhode Island	r=0.96	38yrs	316
Kerosene used in Cuba	r=0.92	42yrs	314
Air pollution in Riverside, California	r=0.94	43yrs	313
The marriage rate in Louisiana	r=0.89	23yrs	312
The number of payroll and timekeeping clerks in District of Columbia	r=0.94	20yrs	307
Burglaries in Virginia	r=0.96	38yrs	306
Kerosene used in Egypt	r=0.92	42yrs	304
Air pollution in New York City	r=0.91	43yrs	302
The divorce rate in Colorado	r=0.88	23yrs	302
The number of motorcycle mechanics in Illinois	r=0.94	20yrs	297
Burglaries in California	r=0.96	38yrs	296
Petroluem consumption in Romania	r=0.91	42yrs	293
Air pollution in Oxnard, California	r=0.95	41yrs	292
The divorce rate in Florida	r=0.88	23yrs	292
The number of telemarketers in Nebraska	r=0.93	20yrs	287
Motor vehicle thefts in New Jersey	r=0.96	38yrs	286
Gasoline pumped in Somalia	r=0.91	42yrs	283
The divorce rate in Maine	r=0.88	23yrs	282
Air pollution in New York City	r=0.9	43yrs	280
The number of typists in North Carolina	r=0.94	20yrs	277
Motor vehicle thefts in Rhode Island	r=0.96	38yrs	276
Kerosene used in Uruguay	r=0.91	42yrs	273
Average number of milk cows in the United States	r=0.84	43yrs	273
The divorce rate in Mississippi	r=0.88	23yrs	272
The number of travel agents in Ohio	r=0.94	20yrs	267
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	266
Burglaries in New Jersey	r=0.95	38yrs	264
Gasoline pumped in Austria	r=0.9	43yrs	262
The divorce rate in New Hampshire	r=0.88	23yrs	262
The number of bill collectors in Washington	r=0.93	20yrs	257
Burglaries in Oklahoma	r=0.95	38yrs	254
The divorce rate in Virginia	r=0.88	23yrs	252
Kerosene used in Mexico	r=0.91	40yrs	251
The number of survey researchers in California	r=0.93	20yrs	246
Robberies in Michigan	r=0.95	38yrs	244
The marriage rate in Alabama	r=0.88	23yrs	241
The number of file clerks in California	r=0.93	20yrs	236
Robberies in New York	r=0.95	38yrs	234
Gasoline pumped in Latvia	r=0.92	31yrs	234
The marriage rate in Alaska	r=0.88	23yrs	231
The number of data entry keyers in Florida	r=0.93	20yrs	226
The marriage rate in Idaho	r=0.88	23yrs	221
The number of cooks, short order in Kentucky	r=0.93	20yrs	216
The marriage rate in South Dakota	r=0.88	23yrs	211
Robberies in the US	r=0.92	38yrs	210
The number of receptionists in Maryland	r=0.92	20yrs	206
The divorce rate in Arkansas	r=0.87	23yrs	201
Fossil fuel use in Sierra Leone	r=0.87	42yrs	200
The number of switchboard operators in Massachusetts	r=0.93	20yrs	196
The divorce rate in Wisconsin	r=0.87	23yrs	191
Kerosene used in Pakistan	r=0.89	42yrs	190
The number of bill collectors in Massachusetts	r=0.92	20yrs	186
Petroluem consumption in Bulgaria	r=0.88	42yrs	178
The number of prepress technicians and workers in Michigan	r=0.93	20yrs	176
Kerosene used in Ecuador	r=0.87	42yrs	167
The number of advertising sales agents in Mississippi	r=0.93	20yrs	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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