Top variables that correlate with Popularity of the first name Justen

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Violent crime rates	r=0.93	38yrs	421
Arson in Texas	r=0.96	38yrs	416
Motor vehicle thefts in Pennsylvania	r=0.96	38yrs	416
The marriage rate in Nevada	r=0.95	23yrs	412
Pirate attacks globally	r=0.96	14yrs	408
Google searches for 'desktop background'	r=0.96	16yrs	408
Kerosene used in Pakistan	r=0.93	42yrs	396
Gasoline pumped in United Kingdom	r=0.92	43yrs	396
Gasoline pumped in Austria	r=0.91	43yrs	394
The number of postmasters in Maryland	r=0.98	20yrs	393
The number of computer programmers in Michigan	r=0.96	20yrs	392
The number of postmasters in New Hampshire	r=0.97	20yrs	392
Carjackings in the US	r=0.92	27yrs	388
US birth rates of triplets or more	r=0.93	20yrs	383
The divorce rate in North Carolina	r=0.95	23yrs	383
The marriage rate in Alabama	r=0.95	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
Google searches for 'report UFO sighting'	r=0.92	19yrs	380
xkcd comics published about romance	r=0.93	16yrs	378
Milk consumption	r=0.93	32yrs	376
Cigarette Smoking Rate for US adults	r=0.92	21yrs	375
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
The wind speed in Austin	r=0.91	39yrs	373
Motor vehicle thefts	r=0.94	38yrs	372
United States music album sales	r=0.91	16yrs	368
Gasoline pumped in France	r=0.91	43yrs	364
The number of postmasters in North Carolina	r=0.97	20yrs	362
Arson in United States	r=0.93	38yrs	361
Orange's stock price (ORAN)	r=0.89	21yrs	360
US household spending on clothin for women	r=0.94	23yrs	360
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	358
GMO use in cotton	r=0.91	23yrs	358
US household spending on clothing	r=0.93	23yrs	358
US household spending on processed fruits	r=0.92	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
US household spending on books	r=0.92	23yrs	357
US household spending on fresh milk and cream	r=0.9	23yrs	354
Kerosene used in Egypt	r=0.91	42yrs	353
The number of telemarketers in West Virginia	r=0.96	20yrs	352
The divorce rate in Alabama	r=0.94	23yrs	352
Robberies in the US	r=0.93	38yrs	351
The divorce rate in Tennessee	r=0.94	23yrs	342
The number of postmasters in Alabama	r=0.96	20yrs	340
Gasoline pumped in Germany	r=0.94	32yrs	338
Burglary rates in the US	r=0.9	38yrs	336
The number of switchboard operators in Alabama	r=0.96	20yrs	330
The marriage rate in Idaho	r=0.94	23yrs	330
US average milk-fat content of frozen dairy products	r=0.94	22yrs	326
Petroluem consumption in Germany	r=0.93	32yrs	326
The number of postal service machine operators in Arkansas	r=0.96	20yrs	320
The divorce rate in Kentucky	r=0.93	23yrs	320
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.93	22yrs	314
Gasoline pumped in Lithuania	r=0.91	31yrs	312
The divorce rate in Wyoming	r=0.93	23yrs	310
The number of postmasters in California	r=0.96	20yrs	310
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	304
Burglaries in District of Columbia	r=0.95	38yrs	304
The number of postal service machine operators in Idaho	r=0.96	20yrs	300
The marriage rate in Arkansas	r=0.93	23yrs	298
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	296
Motor vehicle thefts in Maine	r=0.95	38yrs	294
The number of postmasters in Louisiana	r=0.96	20yrs	290
The marriage rate in South Dakota	r=0.93	23yrs	288
Motor vehicle thefts in New Jersey	r=0.95	38yrs	284
Geothermal power generated in Austria	r=0.9	17yrs	280
The number of bill collectors in Maryland	r=0.95	20yrs	280
The marriage rate in Tennessee	r=0.93	23yrs	278
Motor vehicle thefts in Florida	r=0.95	38yrs	274
The number of bill collectors in New Mexico	r=0.95	20yrs	270
The marriage rate in Wyoming	r=0.93	23yrs	268
Arson in New Jersey	r=0.94	38yrs	262
Kerosene used in Macau	r=0.89	42yrs	260
The number of computer programmers in New York	r=0.95	20yrs	260
The divorce rate in Mississippi	r=0.92	23yrs	258
Arson in North Carolina	r=0.94	38yrs	252
The number of telemarketers in New York	r=0.95	20yrs	250
Kerosene used in Argentina	r=0.88	42yrs	248
The divorce rate in Maine	r=0.91	23yrs	247
Arson in Wyoming	r=0.94	38yrs	242
The number of postmasters in Oregon	r=0.96	20yrs	240
Gasoline pumped in Norway	r=0.87	43yrs	238
The divorce rate in Missouri	r=0.91	23yrs	237
Motor vehicle thefts in Illinois	r=0.94	38yrs	232
The number of postmasters in Texas	r=0.96	20yrs	230
The divorce rate in New Hampshire	r=0.91	23yrs	227
Kerosene used in Thailand	r=0.87	42yrs	227
Arson in Connecticut	r=0.93	38yrs	221
The number of postmasters in Vermont	r=0.96	20yrs	220
The divorce rate in Oregon	r=0.91	23yrs	217
Kerosene used in North Korea	r=0.86	42yrs	216
Burglaries in Florida	r=0.93	38yrs	211
The number of prepress technicians and workers in Virginia	r=0.96	20yrs	210
The divorce rate in Ohio	r=0.9	23yrs	206
Kerosene used in Peru	r=0.86	42yrs	206
Burglaries in Hawaii	r=0.93	38yrs	201
The number of human resources assistants in Wisconsin	r=0.96	20yrs	200
Kerosene used in Puerto Rico	r=0.86	42yrs	196
The marriage rate in Ohio	r=0.9	23yrs	194
Burglaries in Illinois	r=0.93	38yrs	191
Kerosene used in Syria	r=0.86	42yrs	186

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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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