Top variables that correlate with Popularity of the first name Ronnie

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.95	38yrs	434
Burglary rates in the US	r=0.95	38yrs	434
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Turkiye	r=0.96	43yrs	432
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Kerosene used in Venezuela	r=0.95	42yrs	429
Carjackings in the US	r=0.96	27yrs	424
Average number of milk cows in the United States	r=0.9	43yrs	417
The divorce rate in North Carolina	r=0.96	23yrs	414
The marriage rate in Wyoming	r=0.96	23yrs	413
Physical album shipment volume in the United States	r=0.95	24yrs	412
The marriage rate in Idaho	r=0.95	23yrs	412
Google searches for 'desktop background'	r=0.95	16yrs	406
Kerosene used in Mexico	r=0.96	40yrs	398
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in San Diego, California	r=0.96	43yrs	396
Air pollution in Oxnard, California	r=0.96	41yrs	394
The number of computer programmers in Michigan	r=0.97	20yrs	393
The number of telemarketers in California	r=0.96	20yrs	392
The number of carpenters in Mississippi	r=0.97	20yrs	392
Burglaries in New York	r=0.99	38yrs	390
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 Mercury	r=0.95	48yrs	388
The distance between Neptune and Earth	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 Nevada	r=0.95	23yrs	382
Burglaries in California	r=0.98	38yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Cigarette Smoking Rate for US adults	r=0.93	21yrs	376
The wind speed in Nashville	r=0.93	39yrs	376
The wind speed in San Diego	r=0.93	39yrs	376
United States music album sales	r=0.95	16yrs	374
Cottage cheese consumption	r=0.92	32yrs	374
Google searches for 'panama canal'	r=0.91	19yrs	373
Google searches for 'Panama Canal'	r=0.91	19yrs	373
Burglaries in Connecticut	r=0.98	38yrs	368
The number of conveyor operators in New Jersey	r=0.97	20yrs	362
Kerosene used in Uruguay	r=0.95	42yrs	359
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	358
The distance between Neptune and the Sun	r=0.93	48yrs	355
The number of postal service machine operators in Vermont	r=0.97	20yrs	352
Arson in New York	r=0.97	38yrs	347
Kerosene used in Argentina	r=0.93	42yrs	346
The marriage rate in Arkansas	r=0.95	23yrs	342
The number of switchboard operators in Alabama	r=0.96	20yrs	340
Burglaries in Colorado	r=0.97	38yrs	337
Gasoline pumped in Cuba	r=0.93	42yrs	336
The divorce rate in Kentucky	r=0.94	23yrs	332
The number of conveyor operators in Alabama	r=0.96	20yrs	330
Robberies in Oregon	r=0.97	38yrs	327
Kerosene used in Cuba	r=0.93	42yrs	326
The divorce rate in Tennessee	r=0.94	23yrs	322
The number of file clerks in Arkansas	r=0.96	20yrs	320
Burglaries in Florida	r=0.96	38yrs	316
Petroluem consumption in Romania	r=0.93	42yrs	316
The divorce rate in Wyoming	r=0.94	23yrs	312
The number of payroll and timekeeping clerks in District of Columbia	r=0.96	20yrs	310
Burglaries in Rhode Island	r=0.96	38yrs	306
Kerosene used in Thailand	r=0.93	42yrs	306
The number of postal service machine operators in Maine	r=0.96	20yrs	300
The marriage rate in Alabama	r=0.94	23yrs	300
Robberies in Michigan	r=0.96	38yrs	296
Petroluem consumption in Bulgaria	r=0.92	42yrs	294
The number of switchboard operators in Maryland	r=0.96	20yrs	290
The marriage rate in South Dakota	r=0.94	23yrs	290
Robberies in New York	r=0.96	38yrs	286
Kerosene used in Ecuador	r=0.92	42yrs	284
The number of file clerks in Massachusetts	r=0.96	20yrs	280
The divorce rate in Alabama	r=0.93	23yrs	280
Burglaries in Minnesota	r=0.95	38yrs	274
Gasoline pumped in France	r=0.91	43yrs	274
The number of postal service machine operators in Nebraska	r=0.96	20yrs	270
The divorce rate in Florida	r=0.93	23yrs	270
Burglaries in New Jersey	r=0.95	38yrs	264
Gasoline pumped in Somalia	r=0.92	42yrs	264
The number of typists in New Jersey	r=0.96	20yrs	260
The divorce rate in New Hampshire	r=0.93	23yrs	260
Burglaries in New Mexico	r=0.95	38yrs	254
Kerosene used in Hong Kong	r=0.91	42yrs	253
The number of postal service machine operators in New Mexico	r=0.96	20yrs	250
The divorce rate in Virginia	r=0.93	23yrs	250
Burglaries in Oklahoma	r=0.95	38yrs	244
Kerosene used in Brazil	r=0.9	42yrs	242
The number of telemarketers in New York	r=0.95	20yrs	240
The marriage rate in Louisiana	r=0.93	23yrs	238
Burglaries in Oregon	r=0.95	38yrs	234
Kerosene used in Portugal	r=0.9	43yrs	232
The number of brokerage clerks in New York	r=0.96	20yrs	230
The marriage rate in Virginia	r=0.93	23yrs	228
Burglaries in Texas	r=0.95	38yrs	224
The number of data entry keyers in New York	r=0.96	20yrs	220
The divorce rate in Arkansas	r=0.92	23yrs	218
Jet fuel used in Ukraine	r=0.93	30yrs	214
The number of switchboard operators in Oklahoma	r=0.96	20yrs	210
The divorce rate in Maine	r=0.92	23yrs	208
The number of library assistants in Oregon	r=0.96	20yrs	200
Petroluem consumption in Ukraine	r=0.9	30yrs	200
The divorce rate in Mississippi	r=0.92	23yrs	198
The divorce rate in Ohio	r=0.92	23yrs	188
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	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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