Top variables that correlate with Popularity of the first name Clarence

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.96	38yrs	436
Burglary rates in the US	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Kerosene used in Turkiye	r=0.96	43yrs	432
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Kerosene used in Mexico	r=0.96	40yrs	428
The distance between Neptune and Mercury	r=0.96	48yrs	420
Burglaries in New York	r=0.99	38yrs	420
The distance between Neptune and Earth	r=0.95	48yrs	418
The distance between Neptune and the moon	r=0.95	48yrs	418
Average number of milk cows in the United States	r=0.9	43yrs	417
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Arkansas	r=0.96	23yrs	413
The marriage rate in Idaho	r=0.96	23yrs	413
The marriage rate in Nevada	r=0.96	23yrs	413
Viewership count for Days of Our Lives	r=0.91	47yrs	404
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in Oxnard, California	r=0.97	41yrs	396
Air pollution in San Diego, California	r=0.95	43yrs	394
US household spending on clothing	r=0.96	23yrs	393
US household spending on clothing for men	r=0.96	23yrs	393
The number of telemarketers in Pennsylvania	r=0.96	20yrs	392
US household spending on clothin for women	r=0.95	23yrs	392
The number of travel agents in Connecticut	r=0.96	20yrs	390
The number of legislators in Louisiana	r=0.95	20yrs	390
Burglaries in California	r=0.98	38yrs	388
The marriage rate in Wyoming	r=0.96	23yrs	383
US birth rates of triplets or more	r=0.91	20yrs	380
Burglaries in Connecticut	r=0.98	38yrs	378
Google searches for 'snoop dog'	r=0.94	19yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Google searches for 'oprah winfrey'	r=0.93	19yrs	376
The wind speed in San Diego	r=0.93	39yrs	376
Cottage cheese consumption	r=0.93	32yrs	375
Frozen yogurt consumption	r=0.93	32yrs	375
Google searches for 'panama canal'	r=0.91	19yrs	373
The wind speed in Nashville	r=0.91	39yrs	373
United States music album sales	r=0.92	16yrs	370
Kerosene used in Venezuela	r=0.95	42yrs	369
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	368
The number of prepress technicians and workers in Massachusetts	r=0.96	20yrs	360
Kerosene used in Uruguay	r=0.94	42yrs	358
The distance between Neptune and the Sun	r=0.95	48yrs	358
Arson in New York	r=0.97	38yrs	357
The number of boiler operators in Ohio	r=0.96	20yrs	350
Burglaries in Colorado	r=0.97	38yrs	347
Kerosene used in Argentina	r=0.93	42yrs	346
Google searches for 'learn spanish'	r=0.91	19yrs	343
The marriage rate in South Dakota	r=0.95	23yrs	342
The number of procurement clerks in Vermont	r=0.96	20yrs	340
Air pollution in Los Angeles	r=0.95	43yrs	338
Robberies in Oregon	r=0.97	38yrs	337
Gasoline pumped in Cuba	r=0.93	42yrs	336
Google searches for 'Panama Canal'	r=0.91	19yrs	333
The marriage rate in Virginia	r=0.95	23yrs	332
The number of compensation and benefits managers in Ohio	r=0.96	19yrs	329
Burglaries in Florida	r=0.96	38yrs	326
Kerosene used in Cuba	r=0.93	42yrs	326
The divorce rate in North Carolina	r=0.94	23yrs	322
Google searches for 'shook'	r=0.9	19yrs	322
The number of forging machine setters, operators, and tenders, metal and plastic in Illinois	r=0.95	20yrs	318
Burglaries in Minnesota	r=0.96	38yrs	316
Kerosene used in Thailand	r=0.93	42yrs	316
The divorce rate in Alabama	r=0.93	23yrs	310
The number of couriers and messengers in Indiana	r=0.95	20yrs	308
Burglaries in New Jersey	r=0.96	38yrs	306
Petroluem consumption in Bulgaria	r=0.92	42yrs	304
The divorce rate in Tennessee	r=0.93	23yrs	300
The number of boiler operators in Massachusetts	r=0.95	20yrs	298
Burglaries in New Mexico	r=0.96	38yrs	296
Kerosene used in Ecuador	r=0.92	42yrs	294
Carjackings in the US	r=0.95	27yrs	293
The number of data entry keyers in New York	r=0.95	20yrs	288
The divorce rate in Oregon	r=0.92	23yrs	288
Burglaries in Oregon	r=0.96	38yrs	286
Gasoline pumped in France	r=0.91	43yrs	284
The number of prepress technicians and workers in Pennsylvania	r=0.95	20yrs	278
The marriage rate in Arizona	r=0.92	23yrs	277
Burglaries in Rhode Island	r=0.96	38yrs	276
Petroluem consumption in Romania	r=0.92	42yrs	274
The number of switchboard operators in Virginia	r=0.95	20yrs	268
The marriage rate in Louisiana	r=0.92	23yrs	267
Burglaries in Virginia	r=0.96	38yrs	266
Gasoline pumped in Somalia	r=0.92	42yrs	264
The marriage rate in Ohio	r=0.92	23yrs	257
Motor vehicle thefts in New Jersey	r=0.96	38yrs	256
Kerosene used in Brazil	r=0.91	42yrs	253
The marriage rate in South Carolina	r=0.92	23yrs	247
Robberies in Michigan	r=0.96	38yrs	246
Kerosene used in Hong Kong	r=0.91	42yrs	243
The marriage rate in Tennessee	r=0.92	23yrs	237
Robberies in New York	r=0.96	38yrs	236
The divorce rate in Florida	r=0.91	23yrs	227
Burglaries in Oklahoma	r=0.95	38yrs	224
Jet fuel used in Ukraine	r=0.91	30yrs	221
The divorce rate in New Hampshire	r=0.91	23yrs	217
Petroluem consumption in Uzbekistan	r=0.9	30yrs	210
The divorce rate in Wyoming	r=0.91	23yrs	207
The marriage rate in Alabama	r=0.91	23yrs	196
Liquefied petroleum gas used in Greenland	r=0.91	22yrs	193
The marriage rate in Kentucky	r=0.91	23yrs	186

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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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