Top variables that correlate with Popularity of the first name Pauline

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.95	38yrs	454
Motor vehicle thefts	r=0.96	38yrs	436
Robberies in the US	r=0.95	38yrs	434
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Gasoline pumped in France	r=0.96	43yrs	432
Kerosene used in Thailand	r=0.96	42yrs	430
The distance between Neptune and the Sun	r=0.96	48yrs	420
The distance between Neptune and Earth	r=0.96	48yrs	420
The distance between Neptune and the moon	r=0.96	48yrs	420
The wind speed in Austin	r=0.95	39yrs	409
Viewership count for Days of Our Lives	r=0.92	47yrs	406
NASA's budget as a percentage of the total US Federal Budget	r=0.91	48yrs	406
Kerosene used in Argentina	r=0.94	42yrs	398
The number of automotive body repairers in Michigan	r=0.95	20yrs	388
The number of purchasing managers in New Mexico	r=0.95	20yrs	388
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	387
Physical album shipment volume in the United States	r=0.93	24yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
The marriage rate in Tennessee	r=0.94	23yrs	380
GMO use in corn grown in South Dakota	r=0.95	23yrs	378
The marriage rate in Arkansas	r=0.93	23yrs	378
Motor vehicle thefts in New Jersey	r=0.97	38yrs	377
The wind speed in San Diego	r=0.93	39yrs	376
Frozen yogurt consumption	r=0.93	32yrs	375
Total annual sales of Ford Motors in the United States	r=0.92	23yrs	374
Google searches for 'snoop dog'	r=0.91	19yrs	373
Motor vehicle thefts in Illinois	r=0.97	38yrs	367
Gasoline pumped in Austria	r=0.93	43yrs	367
Air pollution in Los Angeles	r=0.92	43yrs	363
Air pollution in Oxnard, California	r=0.94	43yrs	363
Air pollution in Riverside, California	r=0.92	43yrs	360
The distance between Neptune and Mercury	r=0.95	48yrs	358
The number of sailors and marine oilers in Iowa	r=0.95	20yrs	358
US household spending on books	r=0.93	23yrs	358
Arson in Texas	r=0.96	38yrs	356
Fossil fuel use in Sierra Leone	r=0.91	42yrs	356
US household spending on transportation	r=0.91	23yrs	356
US average milk-fat content of frozen dairy products	r=0.91	22yrs	352
The marriage rate in South Carolina	r=0.93	23yrs	348
Burglaries in District of Columbia	r=0.96	38yrs	346
Kerosene used in Cuba	r=0.92	42yrs	344
The wind speed in Milwaukee	r=0.9	39yrs	342
The marriage rate in Virginia	r=0.93	23yrs	338
Motor vehicle thefts in New York	r=0.96	38yrs	336
Kerosene used in Egypt	r=0.92	42yrs	334
Air pollution in San Diego, California	r=0.92	43yrs	330
The number of CEOs in Louisiana	r=0.94	20yrs	328
The marriage rate in Ohio	r=0.92	23yrs	327
Motor vehicle thefts in Pennsylvania	r=0.96	38yrs	326
Gasoline pumped in Cuba	r=0.9	42yrs	322
The number of sheet metal workers in Ohio	r=0.95	20yrs	318
Air pollution in Riverside, California	r=0.91	43yrs	318
The divorce rate in Alabama	r=0.91	23yrs	317
Robberies in New York	r=0.96	38yrs	316
Kerosene used in Pakistan	r=0.9	42yrs	312
The divorce rate in Tennessee	r=0.91	23yrs	307
The number of data entry keyers in Colorado	r=0.94	20yrs	307
Air pollution in Philadelphia, Pennsylvania	r=0.9	43yrs	307
Arson in New Jersey	r=0.95	38yrs	304
Carjackings in the US	r=0.94	27yrs	302
Kerosene used in Uruguay	r=0.9	42yrs	302
The number of advertising and promotions managers in North Carolina	r=0.94	20yrs	297
Air pollution in Santa Maria, California	r=0.9	43yrs	297
The marriage rate in Idaho	r=0.91	23yrs	296
Motor vehicle thefts in Texas	r=0.95	38yrs	294
The number of sewing machine operators in North Carolina	r=0.94	20yrs	287
The marriage rate in South Dakota	r=0.91	23yrs	286
Air pollution in Oxnard, California	r=0.91	41yrs	286
Motor vehicle thefts in Texas	r=0.95	38yrs	284
Gasoline pumped in Germany	r=0.92	32yrs	284
The number of sewing machine operators in Oklahoma	r=0.94	20yrs	277
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	276
Motor vehicle thefts in Texas	r=0.95	38yrs	274
Petroluem consumption in Uzbekistan	r=0.93	30yrs	274
The marriage rate in Wisconsin	r=0.9	23yrs	274
The number of floral designers in Georgia	r=0.93	20yrs	266
Robberies in Illinois	r=0.95	38yrs	264
The number of sheet metal workers in Michigan	r=0.93	20yrs	256
The number of tool and die makers in New Jersey	r=0.93	20yrs	246
Arson in United States	r=0.95	38yrs	244
Gasoline pumped in Belgium	r=0.9	43yrs	242
The number of advertising and promotions managers in Ohio	r=0.93	20yrs	236
The marriage rate in Wyoming	r=0.9	23yrs	234
Kerosene used in Peru	r=0.9	42yrs	232
Burglary rates in the US	r=0.91	38yrs	228
The number of counter and rental clerks in Alaska	r=0.92	20yrs	224
The marriage rate in Alabama	r=0.88	23yrs	221
Kerosene used in Venezuela	r=0.89	42yrs	220
The number of purchasing managers in California	r=0.92	20yrs	214
The marriage rate in Arizona	r=0.88	23yrs	211
Kerosene used in Brazil	r=0.88	42yrs	208
The number of advertising and promotions managers in Colorado	r=0.92	20yrs	204
Petroluem consumption in Nauru	r=0.88	42yrs	198
The number of switchboard operators in Florida	r=0.92	20yrs	194
Arson in California	r=0.94	38yrs	192
Kerosene used in North Korea	r=0.87	42yrs	187
The number of file clerks in Georgia	r=0.92	20yrs	184
Petroluem consumption in North Korea	r=0.86	42yrs	176
The number of couriers and messengers in Kentucky	r=0.92	20yrs	174
Petroluem consumption in Romania	r=0.86	42yrs	166
The number of sewing machine operators in Kentucky	r=0.92	20yrs	164

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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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