Top variables that correlate with Popularity of the first name Leanne

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

Variable	Correlation	Years	Has img?
Viewership count for Days of Our Lives	r=0.88	47yrs	No

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Venezuela	r=0.96	42yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Burglaries in New York	r=0.99	38yrs	420
Burglaries in California	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in San Diego, California	r=0.97	43yrs	398
Burglaries in Connecticut	r=0.97	38yrs	387
Average number of milk cows in the United States	r=0.9	43yrs	387
The distance between Neptune and the Sun	r=0.92	48yrs	384
The distance between Neptune and Earth	r=0.92	48yrs	384
The distance between Neptune and Mercury	r=0.92	48yrs	384
The divorce rate in Tennessee	r=0.94	23yrs	382
The marriage rate in Ohio	r=0.94	23yrs	380
US birth rates of triplets or more	r=0.9	20yrs	378
The marriage rate in Arizona	r=0.93	23yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	377
Physical album shipment volume in the United States	r=0.9	24yrs	375
Frozen yogurt consumption	r=0.93	32yrs	375
The wind speed in San Diego	r=0.92	39yrs	374
The wind speed in Nashville	r=0.9	39yrs	372
Kerosene used in Argentina	r=0.94	42yrs	368
Robberies in Oregon	r=0.97	38yrs	367
Air pollution in Oxnard, California	r=0.97	41yrs	366
Kerosene used in Thailand	r=0.94	42yrs	358
US household spending on clothing	r=0.93	23yrs	358
The number of switchboard operators in Colorado	r=0.94	20yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on books	r=0.92	23yrs	357
Burglaries in Oregon	r=0.96	38yrs	356
US average milk-fat content of frozen dairy products	r=0.94	22yrs	356
The number of pipelayers in Louisiana	r=0.93	20yrs	356
The number of meter readers, utilities in North Carolina	r=0.93	20yrs	356
Air pollution in San Diego, California	r=0.95	43yrs	354
The distance between Neptune and the moon	r=0.92	48yrs	354
The marriage rate in Nevada	r=0.93	23yrs	348
Kerosene used in Mexico	r=0.95	40yrs	347
Burglaries in Colorado	r=0.96	38yrs	346
The marriage rate in Tennessee	r=0.93	23yrs	338
Gasoline pumped in Cuba	r=0.93	42yrs	336
Burglaries in Florida	r=0.95	38yrs	334
Carjackings in the US	r=0.93	27yrs	330
The marriage rate in Arkansas	r=0.92	23yrs	327
Kerosene used in Cuba	r=0.93	42yrs	326
The number of switchboard operators in Tennessee	r=0.93	20yrs	326
Burglaries in Rhode Island	r=0.95	38yrs	324
The marriage rate in Kentucky	r=0.92	23yrs	317
Kerosene used in Ecuador	r=0.93	42yrs	316
The number of human resources assistants in Vermont	r=0.93	20yrs	316
Air pollution in New York City	r=0.92	43yrs	313
The marriage rate in South Carolina	r=0.92	23yrs	307
Gasoline pumped in France	r=0.92	43yrs	306
The number of musicians in California	r=0.92	20yrs	304
Arson in United States	r=0.94	38yrs	302
Air pollution in Oxnard, California	r=0.93	43yrs	302
The marriage rate in South Dakota	r=0.92	23yrs	297
Kerosene used in Uruguay	r=0.93	42yrs	296
The number of prepress technicians and workers in Colorado	r=0.92	20yrs	294
Burglary rates in the US	r=0.94	38yrs	292
Air pollution in Riverside, California	r=0.93	43yrs	292
The marriage rate in Virginia	r=0.92	23yrs	287
Petroluem consumption in Bulgaria	r=0.92	42yrs	284
The number of switchboard operators in Georgia	r=0.92	20yrs	284
Air pollution in New York City	r=0.9	43yrs	280
The divorce rate in New Hampshire	r=0.91	23yrs	277
Petroluem consumption in Romania	r=0.92	42yrs	274
The number of telemarketers in Illinois	r=0.91	20yrs	274
Air pollution in Philadelphia, Pennsylvania	r=0.9	43yrs	267
The marriage rate in Missouri	r=0.91	23yrs	266
Gasoline pumped in Somalia	r=0.92	42yrs	264
The number of telecommunications line installers and repairers in Illinois	r=0.92	20yrs	264
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	256
Burglaries in Montana	r=0.95	38yrs	254
The marriage rate in Idaho	r=0.9	23yrs	254
The number of cashiers in Indiana	r=0.92	20yrs	254
Kerosene used in Brazil	r=0.91	42yrs	253
Burglaries in New Jersey	r=0.95	38yrs	244
The number of boiler operators in Michigan	r=0.92	20yrs	244
Kerosene used in Egypt	r=0.9	42yrs	242
Burglaries in New Mexico	r=0.95	38yrs	234
The number of switchboard operators in New Hampshire	r=0.92	20yrs	234
Robberies in Michigan	r=0.95	38yrs	224
Jet fuel used in Ukraine	r=0.93	30yrs	224
The number of switchboard operators in New Mexico	r=0.92	20yrs	224
Robberies in New York	r=0.95	38yrs	214
The number of telemarketers in New York	r=0.91	20yrs	214
The number of payroll and timekeeping clerks in Ohio	r=0.92	20yrs	204
Arson in California	r=0.94	38yrs	202
The number of switchboard operators in Oregon	r=0.92	20yrs	194
Arson in Colorado	r=0.94	38yrs	192
Fossil fuel use in Sierra Leone	r=0.87	42yrs	190
The number of bill collectors in Pennsylvania	r=0.91	20yrs	184
Kerosene used in Hong Kong	r=0.89	42yrs	180
The number of file clerks in Texas	r=0.92	20yrs	174
Kerosene used in Portugal	r=0.88	43yrs	170
The number of maintenance workers, machinery in Virginia	r=0.92	20yrs	164

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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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