Top variables that correlate with Popularity of the first name Erich

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

Variable	Correlation	Years	Has img?
Viewership count for Days of Our Lives	r=0.95	47yrs	No

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Remaining Forest Cover in the Brazilian Amazon	r=0.99	36yrs	436
Burglary rates in the US	r=0.95	38yrs	434
Gasoline pumped in France	r=0.96	43yrs	432
Kerosene used in Thailand	r=0.97	42yrs	432
Kerosene used in Argentina	r=0.96	42yrs	430
The distance between Neptune and the Sun	r=0.98	48yrs	422
The distance between Neptune and Earth	r=0.98	48yrs	422
The distance between Neptune and the moon	r=0.98	48yrs	422
US birth rates of triplets or more	r=0.96	20yrs	418
Burglaries in New York	r=0.98	38yrs	418
The divorce rate in Tennessee	r=0.97	23yrs	416
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Tennessee	r=0.96	23yrs	413
Physical album shipment volume in the United States	r=0.95	24yrs	412
The wind speed in Austin	r=0.97	39yrs	412
Air pollution in Oxnard, California	r=0.96	43yrs	396
US household spending on books	r=0.96	23yrs	393
Air pollution in Oxnard, California	r=0.95	41yrs	392
The distance between Neptune and Mercury	r=0.97	48yrs	391
The number of floral designers in Arizona	r=0.96	20yrs	390
The number of dishwashers in Kentucky	r=0.96	20yrs	390
The number of brokerage clerks in New York	r=0.96	20yrs	390
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	388
The marriage rate in Arkansas	r=0.95	23yrs	382
Arson in New Jersey	r=0.97	38yrs	377
Frozen yogurt consumption	r=0.94	32yrs	376
The wind speed in San Diego	r=0.93	39yrs	376
Milk consumption	r=0.92	32yrs	375
Cigarette Smoking Rate for US adults	r=0.91	21yrs	374
Google searches for 'panama canal'	r=0.91	19yrs	373
The marriage rate in South Carolina	r=0.95	23yrs	372
Google searches for 'snoop dog'	r=0.9	19yrs	372
NASA's budget as a percentage of the total US Federal Budget	r=0.87	48yrs	370
Kerosene used in Cuba	r=0.95	42yrs	369
Air pollution in Los Angeles	r=0.95	43yrs	368
Arson in California	r=0.97	38yrs	367
US music album sales	r=0.9	16yrs	367
The number of file clerks in North Carolina	r=0.96	20yrs	360
US household spending on clothing	r=0.94	23yrs	360
Kerosene used in Egypt	r=0.94	42yrs	358
Burglaries in New Jersey	r=0.97	38yrs	357
The number of CEOs in Ohio	r=0.95	20yrs	350
Burglaries in Connecticut	r=0.97	38yrs	347
Gasoline pumped in Cuba	r=0.93	42yrs	346
The number of CEOs in South Carolina	r=0.95	20yrs	340
Burglaries in Florida	r=0.96	38yrs	336
Kerosene used in Uruguay	r=0.93	42yrs	336
Air pollution in Los Angeles	r=0.93	43yrs	334
The marriage rate in Alabama	r=0.95	23yrs	332
The number of switchboard operators in Tennessee	r=0.96	20yrs	330
Burglaries in Illinois	r=0.96	38yrs	326
Gasoline pumped in Austria	r=0.91	43yrs	324
Air pollution in Riverside, California	r=0.94	43yrs	323
The marriage rate in Ohio	r=0.95	23yrs	322
The number of typists in Florida	r=0.95	20yrs	318
Burglaries in Minnesota	r=0.96	38yrs	316
Kerosene used in Venezuela	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.94	43yrs	313
The marriage rate in South Dakota	r=0.95	23yrs	312
Burglaries in Virginia	r=0.96	38yrs	306
Kerosene used in Brazil	r=0.91	42yrs	303
The divorce rate in Alabama	r=0.94	23yrs	302
Air pollution in New York City	r=0.91	43yrs	302
Burglaries in California	r=0.96	38yrs	296
Gasoline pumped in Bulgaria	r=0.91	42yrs	293
Carjackings in the US	r=0.94	27yrs	292
The divorce rate in North Carolina	r=0.93	23yrs	290
Air pollution in Philadelphia, Pennsylvania	r=0.92	43yrs	290
Burglaries in District of Columbia	r=0.96	38yrs	286
Kerosene used in Peru	r=0.91	42yrs	283
Air pollution in San Diego, California	r=0.92	43yrs	280
The marriage rate in Idaho	r=0.93	23yrs	278
The number of computer programmers in Colorado	r=0.94	20yrs	278
Motor vehicle thefts in Maine	r=0.96	38yrs	276
Kerosene used in Pakistan	r=0.9	42yrs	272
The marriage rate in Kentucky	r=0.93	23yrs	268
The number of human resources assistants in Illinois	r=0.95	20yrs	268
Motor vehicle thefts in New Jersey	r=0.96	38yrs	266
The marriage rate in Virginia	r=0.93	23yrs	258
The number of typists in Illinois	r=0.95	20yrs	258
Motor vehicle thefts in Illinois	r=0.96	38yrs	256
Gasoline pumped in Germany	r=0.93	32yrs	256
The marriage rate in Wyoming	r=0.93	23yrs	248
The number of switchboard operators in Indiana	r=0.95	20yrs	248
Robberies in Oregon	r=0.96	38yrs	246
Petroluem consumption in Germany	r=0.9	32yrs	242
The divorce rate in New Hampshire	r=0.92	23yrs	238
The number of data entry keyers in Maine	r=0.95	20yrs	238
Robberies in Washington	r=0.96	38yrs	236
Petroluem consumption in Uzbekistan	r=0.91	30yrs	231
The divorce rate in Ohio	r=0.92	23yrs	228
Arson in Nevada	r=0.95	38yrs	224
The divorce rate in Wyoming	r=0.92	23yrs	218
The divorce rate in Nevada	r=0.91	23yrs	207
Fossil fuel use in Sierra Leone	r=0.89	42yrs	203
The marriage rate in Kansas	r=0.91	23yrs	196
Kerosene used in Turkiye	r=0.9	43yrs	192
The marriage rate in West Virginia	r=0.91	23yrs	186
Gasoline pumped in Belgium	r=0.88	43yrs	180

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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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