Top variables that correlate with Popularity of the first name Nelson

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

Variable	Correlation	Years	Has img?
Cottage cheese consumption	r=0.98	32yrs	No

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

Variable	Correlation	Years	Sys. Score
Robberies in the US	r=0.96	38yrs	436
Motor vehicle thefts	r=0.95	38yrs	434
Violent crime rates	r=0.92	38yrs	420
Gasoline pumped in Latvia	r=0.96	31yrs	420
U.S. intercountry adoptions	r=0.96	23yrs	413
The marriage rate in Wyoming	r=0.96	23yrs	413
The marriage rate in Idaho	r=0.95	23yrs	412
NASA's budget as a percentage of the total US Federal Budget	r=0.91	48yrs	406
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Gasoline pumped in Austria	r=0.94	43yrs	398
Gasoline pumped in United Kingdom	r=0.93	43yrs	397
GMO use in cotton	r=0.96	23yrs	396
The number of telemarketers in California	r=0.97	20yrs	393
The number of prepress technicians and workers in Massachusetts	r=0.98	20yrs	393
The number of postal service machine operators in North Dakota	r=0.98	20yrs	393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.96	22yrs	389
Robberies in Connecticut	r=0.97	38yrs	387
US birth rates of triplets or more	r=0.94	20yrs	384
Physical album shipment volume in the United States	r=0.94	24yrs	381
The divorce rate in Kentucky	r=0.93	23yrs	380
Robberies in Connecticut	r=0.97	38yrs	377
Cigarette Smoking Rate for US adults	r=0.92	21yrs	375
GMO use in cotton in Texas	r=0.95	23yrs	374
Google searches for 'learn spanish'	r=0.92	19yrs	374
United States music album sales	r=0.93	16yrs	372
Google searches for 'desktop background'	r=0.91	16yrs	370
Motor vehicle thefts in Rhode Island	r=0.96	38yrs	366
The number of boiler operators in Ohio	r=0.98	20yrs	363
Kerosene used in Macau	r=0.9	42yrs	362
AIG's stock price (AIG)	r=0.89	21yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
US household spending on postage and stationery	r=0.94	23yrs	360
US average milk-fat content of frozen dairy products	r=0.95	22yrs	358
Citigroup's stock price (C)	r=0.87	21yrs	358
Air pollution in Santa Maria, California	r=0.91	43yrs	358
US household spending on clothin for women	r=0.91	23yrs	356
Arson in Texas	r=0.95	38yrs	354
US household spending on mortgage interest and charges	r=0.9	23yrs	354
US household spending on clothing	r=0.9	23yrs	354
The number of meter readers, utilities in Alabama	r=0.97	20yrs	352
Kerosene used in Pakistan	r=0.9	42yrs	352
The divorce rate in North Carolina	r=0.93	23yrs	350
Robberies in Georgia	r=0.95	38yrs	344
GMO use in corn grown in Iowa	r=0.92	23yrs	343
The number of sewing machine operators in California	r=0.97	20yrs	342
Milk consumption	r=0.94	32yrs	338
The divorce rate in Alabama	r=0.92	23yrs	338
The number of couriers and messengers in Indiana	r=0.97	20yrs	332
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	328
The divorce rate in Mississippi	r=0.92	23yrs	328
Geothermal power generated in Austria	r=0.94	17yrs	326
Arson in United States	r=0.94	38yrs	322
The number of receptionists in Maryland	r=0.96	20yrs	322
The marriage rate in Alabama	r=0.92	23yrs	317
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	314
US production of cottage cheese	r=0.9	22yrs	313
GMO use in corn grown in Minnesota	r=0.92	23yrs	313
The number of file clerks in Massachusetts	r=0.97	20yrs	312
Burglary rates in the US	r=0.93	38yrs	311
The marriage rate in Arkansas	r=0.92	23yrs	307
The number of telemarketers in New Jersey	r=0.96	20yrs	302
US dairy skim solids used to produce cottage cheese	r=0.9	22yrs	302
Arson in Iowa	r=0.96	22yrs	300
The marriage rate in Nevada	r=0.92	23yrs	297
The number of data entry keyers in New York	r=0.97	20yrs	292
Gasoline pumped in Norway	r=0.9	43yrs	292
The divorce rate in Florida	r=0.91	23yrs	287
The number of telemarketers in Pennsylvania	r=0.96	20yrs	282
Gasoline pumped in France	r=0.88	43yrs	280
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	278
The divorce rate in Wyoming	r=0.91	23yrs	277
Burglaries in Kansas	r=0.95	38yrs	274
The number of typists in Pennsylvania	r=0.97	20yrs	272
US average milk-fat content of cottage cheese	r=0.95	22yrs	268
Kerosene used in Egypt	r=0.88	42yrs	268
The marriage rate in South Dakota	r=0.91	23yrs	266
Motor vehicle thefts in New Jersey	r=0.95	38yrs	264
The number of brickmasons in South Carolina	r=0.97	20yrs	262
Jet fuel used in Syria	r=0.87	42yrs	257
The marriage rate in Virginia	r=0.91	23yrs	256
The number of switchboard operators in Virginia	r=0.97	20yrs	252
Arson in Georgia	r=0.94	38yrs	252
Burglaries in Florida	r=0.94	38yrs	242
The number of typists in Alabama	r=0.96	20yrs	240
Petroluem consumption in Germany	r=0.89	32yrs	240
Burglaries in Hawaii	r=0.94	38yrs	232
The number of file clerks in Arkansas	r=0.96	20yrs	230
Gasoline pumped in Germany	r=0.88	32yrs	228
Motor vehicle thefts in Massachusetts	r=0.94	38yrs	222
The number of conveyor operators in Arkansas	r=0.96	20yrs	220
The divorce rate in Arkansas	r=0.9	23yrs	216
Petroluem consumption in Uzbekistan	r=0.88	30yrs	216
Motor vehicle thefts in New Hampshire	r=0.94	38yrs	212
The number of tool and die makers in California	r=0.96	20yrs	210
Gasoline pumped in Uzbekistan	r=0.88	30yrs	206
The divorce rate in Oregon	r=0.89	23yrs	204
Motor vehicle thefts in Pennsylvania	r=0.94	38yrs	202
The number of cutters and trimmers, hand in California	r=0.96	20yrs	200
Motor vehicle thefts in Texas	r=0.94	38yrs	192

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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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