Top variables that correlate with Popularity of the first name Lynn

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.97	40yrs	430
Average number of milk cows in the United States	r=0.93	43yrs	422
Burglaries in Colorado	r=0.98	38yrs	418
Arson in New York	r=0.96	38yrs	416
Burglaries in Oregon	r=0.96	38yrs	416
The divorce rate in Tennessee	r=0.96	23yrs	414
The marriage rate in Tennessee	r=0.95	23yrs	412
Petroluem consumption in Bulgaria	r=0.94	42yrs	398
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
Carjackings in the US	r=0.93	27yrs	390
Burglaries in California	r=0.95	38yrs	384
The marriage rate in Nevada	r=0.95	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
US birth rates of triplets or more	r=0.91	20yrs	380
Robberies in Oregon	r=0.95	38yrs	374
Cottage cheese consumption	r=0.91	32yrs	372
Kerosene used in Portugal	r=0.94	43yrs	368
Air pollution in Norwich, Connecticut	r=0.94	42yrs	362
US household spending on clothing for men	r=0.94	23yrs	360
Air pollution in Manchester, New Hampshire	r=0.92	43yrs	360
US household spending on clothing	r=0.93	23yrs	358
Air pollution in San Diego, California	r=0.91	43yrs	358
The number of meter readers, utilities in Alabama	r=0.94	20yrs	357
The number of legislators in Louisiana	r=0.93	20yrs	357
The number of maintenance workers, machinery in Virginia	r=0.94	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
US household spending on books	r=0.92	23yrs	357
Kerosene used in Bolivia	r=0.92	42yrs	354
US average milk-fat content of frozen dairy products	r=0.93	22yrs	354
The marriage rate in Arkansas	r=0.94	23yrs	350
Burglary rates in the US	r=0.9	38yrs	346
The distance between Neptune and Mercury	r=0.87	48yrs	346
Gasoline pumped in Bulgaria	r=0.92	42yrs	344
GMO use in corn grown in South Dakota	r=0.91	23yrs	342
The divorce rate in Alabama	r=0.93	23yrs	340
Google searches for 'oprah winfrey'	r=0.89	19yrs	340
Cigarette Smoking Rate for US adults	r=0.87	21yrs	338
Kerosene used in Norway	r=0.91	43yrs	334
The divorce rate in North Carolina	r=0.93	23yrs	330
The number of dishwashers in Iowa	r=0.93	20yrs	326
Air pollution in Oxnard, California	r=0.9	41yrs	325
Kerosene used in Ecuador	r=0.91	42yrs	323
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	322
The marriage rate in Ohio	r=0.93	23yrs	318
The number of prepress technicians and workers in Massachusetts	r=0.93	20yrs	316
Burglaries in New York	r=0.95	38yrs	314
Kerosene used in Romania	r=0.91	42yrs	313
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	312
The marriage rate in South Carolina	r=0.93	23yrs	308
The number of telemarketers in Pennsylvania	r=0.92	20yrs	306
Kerosene used in Uruguay	r=0.91	42yrs	303
Burglaries in Washington	r=0.94	38yrs	302
The marriage rate in South Dakota	r=0.93	23yrs	298
The number of telemarketers in California	r=0.91	20yrs	294
Burglaries in Oklahoma	r=0.93	38yrs	291
Frozen yogurt consumption	r=0.89	32yrs	289
The marriage rate in Alabama	r=0.92	23yrs	287
The number of switchboard operators in Ohio	r=0.92	20yrs	284
Burglaries in Texas	r=0.93	38yrs	281
Petroluem consumption in Uzbekistan	r=0.9	30yrs	280
The marriage rate in Wyoming	r=0.92	23yrs	277
The number of typists in Ohio	r=0.92	20yrs	274
Arson in Colorado	r=0.92	38yrs	270
The marriage rate in Idaho	r=0.91	23yrs	266
The number of procurement clerks in Virginia	r=0.92	20yrs	264
Burglaries in Michigan	r=0.92	38yrs	260
The marriage rate in Virginia	r=0.91	23yrs	256
Kerosene used in U.S. Pacific Islands	r=0.9	42yrs	252
The number of human resources assistants in District of Columbia	r=0.91	20yrs	252
Burglaries in Montana	r=0.92	38yrs	250
The marriage rate in West Virginia	r=0.91	23yrs	246
The number of electronics engineers in Illinois	r=0.91	20yrs	242
Burglaries in Rhode Island	r=0.92	38yrs	240
Kerosene used in Canada	r=0.88	43yrs	240
The divorce rate in Ohio	r=0.9	23yrs	236
The number of couriers and messengers in Indiana	r=0.91	20yrs	232
Burglaries in Connecticut	r=0.92	38yrs	230
Kerosene used in Hong Kong	r=0.89	42yrs	230
The divorce rate in Oregon	r=0.9	23yrs	226
The number of psychiatric aides in Massachusetts	r=0.91	19yrs	222
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	220
Kerosene used in United States	r=0.88	43yrs	220
The number of costume attendants in Nevada	r=0.91	20yrs	212
Robberies in Michigan	r=0.92	38yrs	210
Kerosene used in Cabo Verde	r=0.88	42yrs	208
The number of postal service machine operators in North Dakota	r=0.91	20yrs	202
Burglaries in Alaska	r=0.91	38yrs	198
Kerosene used in Italy	r=0.87	43yrs	198
The number of CEOs in Ohio	r=0.9	20yrs	192
Burglaries in Minnesota	r=0.91	38yrs	188
Petroluem consumption in Romania	r=0.87	42yrs	187
The divorce rate in Nevada	r=0.9	23yrs	186
The number of meter readers, utilities in Oregon	r=0.91	20yrs	182
Gasoline pumped in Somalia	r=0.87	42yrs	177
The marriage rate in Arizona	r=0.9	23yrs	174
The number of counter and rental clerks in Utah	r=0.91	20yrs	172
Kerosene used in Venezuela	r=0.87	42yrs	167
The marriage rate in Kansas	r=0.9	23yrs	164
The number of switchboard operators in Virginia	r=0.91	20yrs	162
The marriage rate in Kentucky	r=0.9	23yrs	154

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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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