Top variables that correlate with Popularity of the first name Lynette

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.98	40yrs	432
Petroluem consumption in Bulgaria	r=0.96	42yrs	430
Average number of milk cows in the United States	r=0.93	43yrs	422
Burglaries in Colorado	r=0.97	38yrs	417
Burglaries in Oregon	r=0.96	38yrs	416
Burglaries in Texas	r=0.96	38yrs	416
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
Remaining Forest Cover in the Brazilian Amazon	r=0.91	36yrs	394
The number of switchboard operators in Oklahoma	r=0.95	20yrs	388
Burglaries in California	r=0.96	38yrs	386
The divorce rate in Wyoming	r=0.9	23yrs	376
Cottage cheese consumption	r=0.93	32yrs	375
Arson in New York	r=0.95	38yrs	374
Google searches for 'desktop background'	r=0.92	16yrs	372
Air pollution in Los Angeles	r=0.94	43yrs	366
Burglaries in New York	r=0.95	38yrs	364
Air pollution in Los Angeles	r=0.92	43yrs	363
Air pollution in New York City	r=0.92	43yrs	363
The number of telemarketers in Nebraska	r=0.95	20yrs	360
The number of computer programmers in New York	r=0.95	20yrs	360
Burglaries in Oklahoma	r=0.95	38yrs	354
Kerosene used in Bolivia	r=0.92	42yrs	354
US household spending on postage and stationery	r=0.9	23yrs	354
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	353
The distance between Neptune and Mercury	r=0.9	48yrs	350
The distance between Neptune and Earth	r=0.88	48yrs	348
The distance between Neptune and the moon	r=0.88	48yrs	348
US birth rates of triplets or more	r=0.89	20yrs	347
The divorce rate in Arkansas	r=0.9	23yrs	346
The divorce rate in Mississippi	r=0.9	23yrs	346
Viewership count of American Idol Season Finale	r=0.89	21yrs	345
Burglaries in Washington	r=0.95	38yrs	344
Kerosene used in Venezuela	r=0.92	42yrs	344
Cigarette Smoking Rate for US adults	r=0.9	21yrs	342
U.S. intercountry adoptions	r=0.88	23yrs	341
xkcd comics published about childhood	r=0.88	16yrs	340
Physical album shipment volume in the United States	r=0.86	24yrs	339
GMO use in cotton in Texas	r=0.91	23yrs	338
Robberies in Oregon	r=0.95	38yrs	334
Kerosene used in Ecuador	r=0.91	42yrs	333
Air pollution in San Diego, California	r=0.94	43yrs	333
The number of switchboard operators in Alaska	r=0.95	20yrs	328
Kerosene used in Hong Kong	r=0.91	42yrs	323
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	322
Air pollution in Oxnard, California	r=0.93	41yrs	320
The number of prepress technicians and workers in Arkansas	r=0.95	20yrs	318
The distance between Neptune and the Sun	r=0.87	48yrs	316
Kerosene used in Romania	r=0.91	42yrs	313
The divorce rate in Kentucky	r=0.88	23yrs	312
Burglary rates in the US	r=0.93	38yrs	311
Air pollution in Norwich, Connecticut	r=0.92	42yrs	309
The number of switchboard operators in Iowa	r=0.95	20yrs	308
Gasoline pumped in Somalia	r=0.91	42yrs	303
The divorce rate in Idaho	r=0.87	23yrs	301
Milk consumption	r=0.89	32yrs	300
Arson in United States	r=0.91	38yrs	298
The number of bill collectors in Maryland	r=0.94	20yrs	298
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	298
Kerosene used in Uruguay	r=0.91	42yrs	293
The divorce rate in Illinois	r=0.87	23yrs	291
US production of fluid beverage milk	r=0.88	22yrs	290
The number of forging machine setters, operators, and tenders, metal and plastic in Pennsylvania	r=0.95	20yrs	288
Air pollution in Spokane, Washington	r=0.91	43yrs	288
The divorce rate in North Carolina	r=0.87	23yrs	281
The number of file clerks in Puerto Rico	r=0.95	20yrs	278
Air pollution in San Diego, California	r=0.9	43yrs	277
Burglaries in Michigan	r=0.94	38yrs	272
Liquefied petroleum gas used in Belarus	r=0.91	30yrs	271
The marriage rate in Idaho	r=0.87	23yrs	270
The number of compensation and benefits managers in Oklahoma	r=0.95	19yrs	268
Burglaries in Rhode Island	r=0.94	38yrs	262
Petroluem consumption in Ukraine	r=0.91	30yrs	261
The divorce rate in Colorado	r=0.86	23yrs	260
The number of switchboard operators in Alabama	r=0.94	20yrs	257
Burglaries in Connecticut	r=0.94	38yrs	252
Gasoline pumped in Latvia	r=0.9	31yrs	250
The divorce rate in Virginia	r=0.86	23yrs	250
The number of switchboard operators in Arizona	r=0.94	20yrs	247
Robberies in Michigan	r=0.94	38yrs	242
The marriage rate in Alabama	r=0.86	23yrs	238
The number of switchboard operators in California	r=0.94	20yrs	237
Burglaries in Florida	r=0.93	38yrs	231
The marriage rate in South Dakota	r=0.86	23yrs	228
The number of telemarketers in Massachusetts	r=0.93	20yrs	227
Kerosene used in Portugal	r=0.9	43yrs	222
Burglaries in Minnesota	r=0.93	38yrs	221
The number of telemarketers in New York	r=0.93	20yrs	217
Petroluem consumption in Romania	r=0.9	42yrs	212
Burglaries in Montana	r=0.93	38yrs	211
The number of computer programmers in North Carolina	r=0.93	20yrs	207
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	201
Kerosene used in Norway	r=0.89	43yrs	201
The number of telemarketers in North Dakota	r=0.93	20yrs	197
Kerosene used in United States	r=0.89	43yrs	191
Arson in Colorado	r=0.92	38yrs	190
The number of computer programmers in Ohio	r=0.93	20yrs	187
Gasoline pumped in Cuba	r=0.88	42yrs	178
The number of legislators in Pennsylvania	r=0.93	20yrs	177
Kerosene used in Cuba	r=0.88	42yrs	168
The number of file clerks in Washington	r=0.94	20yrs	167

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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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