Top variables that correlate with Popularity of the first name Corrine

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.93	38yrs	421
Robberies in the US	r=0.94	38yrs	402
Motor vehicle thefts	r=0.92	38yrs	400
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Gasoline pumped in Austria	r=0.93	43yrs	397
Gasoline pumped in France	r=0.91	43yrs	394
Kerosene used in Thailand	r=0.9	42yrs	392
The number of tax examiners and collectors, and revenue agents in New Jersey	r=0.96	13yrs	383
The number of labor relations specialists in California	r=0.95	11yrs	380
The divorce rate in Ohio	r=0.93	23yrs	380
The marriage rate in South Carolina	r=0.93	23yrs	378
The divorce rate in Oregon	r=0.92	23yrs	378
Milk consumption	r=0.91	32yrs	374
Cottage cheese consumption	r=0.91	32yrs	372
Frozen yogurt consumption	r=0.9	32yrs	370
Arson in United States	r=0.91	38yrs	368
NASA's budget as a percentage of the total US Federal Budget	r=0.85	48yrs	368
The number of switchboard operators in Minnesota	r=0.92	20yrs	354
US household spending on clothing	r=0.9	23yrs	354
The divorce rate in South Carolina	r=0.92	23yrs	348
The distance between Neptune and the Sun	r=0.87	48yrs	346
The distance between Neptune and Earth	r=0.87	48yrs	346
The distance between Neptune and the moon	r=0.87	48yrs	346
Arson in Texas	r=0.95	38yrs	344
The wind speed in San Diego	r=0.9	39yrs	342
US birth rates of triplets or more	r=0.85	20yrs	341
Physical album shipment volume in the United States	r=0.87	24yrs	340
The wind speed in Austin	r=0.89	39yrs	340
The divorce rate in Tennessee	r=0.91	23yrs	337
Robberies in Illinois	r=0.95	38yrs	334
Fossil fuel use in Sierra Leone	r=0.89	42yrs	333
The divorce rate in Florida	r=0.9	23yrs	326
Air pollution in Oxnard, California	r=0.89	43yrs	326
Robberies in New Jersey	r=0.95	38yrs	324
US household spending on processed fruits	r=0.9	23yrs	324
Air pollution in Los Angeles	r=0.86	43yrs	324
Air pollution in Riverside, California	r=0.88	43yrs	324
Kerosene used in Argentina	r=0.9	42yrs	322
US household spending on clothing for men	r=0.89	23yrs	322
US household spending on books	r=0.89	23yrs	322
The number of switchboard operators in Colorado	r=0.9	20yrs	321
US household spending on clothin for women	r=0.88	23yrs	321
US household spending on tobacco products and smoking supplies	r=0.88	23yrs	321
Woodside Energy Group's stock price (WDS)	r=0.87	14yrs	320
The divorce rate in Wyoming	r=0.9	23yrs	316
The distance between Neptune and Mercury	r=0.86	48yrs	314
Burglaries in Kansas	r=0.94	38yrs	312
The number of boiler operators in Indiana	r=0.9	20yrs	311
Kerosene used in Egypt	r=0.88	42yrs	308
Burglaries in District of Columbia	r=0.94	38yrs	302
The number of executive administrative assistants in Massachusetts	r=0.94	13yrs	300
Kerosene used in Pakistan	r=0.87	42yrs	297
Air pollution in Washington, D.C.	r=0.86	43yrs	294
Robberies in Connecticut	r=0.94	38yrs	292
The number of executive administrative assistants in Illinois	r=0.92	13yrs	287
Kerosene used in Cuba	r=0.86	42yrs	286
Robberies in Connecticut	r=0.94	38yrs	282
Air pollution in Santa Maria, California	r=0.87	43yrs	282
The number of executive administrative assistants in Indiana	r=0.92	13yrs	277
Kerosene used in Peru	r=0.86	42yrs	276
The divorce rate in North Carolina	r=0.9	23yrs	276
Motor vehicle thefts in New Jersey	r=0.93	38yrs	271
Air pollution in Philadelphia, Pennsylvania	r=0.86	43yrs	271
The number of executive administrative assistants in Ohio	r=0.92	13yrs	267
Kerosene used in Uruguay	r=0.86	42yrs	266
The marriage rate in Arkansas	r=0.9	23yrs	264
Motor vehicle thefts in Pennsylvania	r=0.93	38yrs	261
Air pollution in Philadelphia, Pennsylvania	r=0.86	43yrs	261
The number of executive administrative assistants in Pennsylvania	r=0.92	13yrs	257
The marriage rate in Vermont	r=0.9	23yrs	254
Customer satisfaction with Frontier Communications	r=0.82	28yrs	254
Customer satisfaction with Whirlpool	r=0.81	28yrs	252
Robberies in Kansas	r=0.93	38yrs	251
Air pollution in Riverside, California	r=0.86	43yrs	251
Carjackings in the US	r=0.86	27yrs	250
Gasoline pumped in Germany	r=0.89	32yrs	250
Viewership count for Days of Our Lives	r=0.78	47yrs	250
The divorce rate in Maine	r=0.89	23yrs	244
Robberies in Louisiana	r=0.93	38yrs	241
Air pollution in San Diego, California	r=0.86	43yrs	241
Petroluem consumption in Germany	r=0.88	32yrs	238
The divorce rate in Missouri	r=0.89	23yrs	234
Robberies in Missouri	r=0.93	38yrs	231
Petroluem consumption in Uzbekistan	r=0.88	30yrs	226
The divorce rate in Texas	r=0.89	23yrs	224
Arson in New Jersey	r=0.92	38yrs	220
The number of file clerks in Connecticut	r=0.89	20yrs	220
The divorce rate in Vermont	r=0.89	23yrs	214
Gasoline pumped in Latvia	r=0.86	31yrs	214
Arson in Rhode Island	r=0.92	38yrs	210
The number of telemarketers in Iowa	r=0.88	20yrs	210
The marriage rate in Tennessee	r=0.89	23yrs	202
Burglaries in Hawaii	r=0.92	38yrs	200
The number of human resources assistants in Massachusetts	r=0.89	20yrs	200
The divorce rate in New Hampshire	r=0.88	23yrs	192
Burglaries in Maryland	r=0.92	38yrs	190
The number of switchboard operators in New Mexico	r=0.89	20yrs	190
The marriage rate in Nevada	r=0.88	23yrs	181
The marriage rate in New Hampshire	r=0.88	23yrs	171
The divorce rate in Alabama	r=0.87	23yrs	161
The divorce rate in Idaho	r=0.87	23yrs	151

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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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