Top variables that correlate with Popularity of the first name Herbert

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Mexico	r=0.97	40yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.92	43yrs	420
Burglaries in New York	r=0.98	38yrs	418
Burglaries in California	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
The divorce rate in Alabama	r=0.96	23yrs	414
The marriage rate in Arkansas	r=0.95	23yrs	412
Air pollution in San Diego, California	r=0.96	43yrs	396
Air pollution in Oxnard, California	r=0.96	41yrs	394
The number of switchboard operators in Arizona	r=0.96	20yrs	390
The number of floral designers in Indiana	r=0.96	20yrs	390
The number of file clerks in Massachusetts	r=0.96	20yrs	390
Burglaries in Colorado	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.94	48yrs	386
The distance between Neptune and Earth	r=0.93	48yrs	385
The distance between Neptune and the moon	r=0.93	48yrs	385
Physical album shipment volume in the United States	r=0.95	24yrs	382
The marriage rate in Nevada	r=0.95	23yrs	382
US birth rates of triplets or more	r=0.9	20yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Burglaries in Connecticut	r=0.97	38yrs	377
Google searches for 'shook'	r=0.92	19yrs	374
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
The wind speed in Nashville	r=0.91	39yrs	373
The wind speed in San Diego	r=0.91	39yrs	373
Cottage cheese consumption	r=0.91	32yrs	372
Viewership count for Days of Our Lives	r=0.88	47yrs	370
Kerosene used in Uruguay	r=0.95	42yrs	369
Air pollution in Los Angeles	r=0.95	43yrs	368
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	367
Customer satisfaction with Frontier Communications	r=0.85	28yrs	363
US household spending on books	r=0.94	23yrs	360
The number of switchboard operators in New Hampshire	r=0.96	20yrs	360
Kerosene used in Venezuela	r=0.94	42yrs	358
Robberies in Oregon	r=0.97	38yrs	357
The distance between Neptune and the Sun	r=0.92	48yrs	354
The marriage rate in South Dakota	r=0.95	23yrs	352
The number of sewing machine operators in California	r=0.95	20yrs	348
Burglaries in Oregon	r=0.96	38yrs	346
Petroluem consumption in Bulgaria	r=0.93	42yrs	346
Frozen yogurt consumption	r=0.91	32yrs	342
The marriage rate in Tennessee	r=0.95	23yrs	342
The number of sewing machine operators in New York	r=0.95	20yrs	338
Kerosene used in Ecuador	r=0.93	42yrs	336
Air pollution in Los Angeles	r=0.93	43yrs	334
Burglaries in Florida	r=0.95	38yrs	334
The divorce rate in Oregon	r=0.94	23yrs	332
Carjackings in the US	r=0.93	27yrs	330
The number of postal service machine operators in Oregon	r=0.95	20yrs	328
Kerosene used in Portugal	r=0.92	43yrs	326
Burglaries in Rhode Island	r=0.95	38yrs	324
Air pollution in New York City	r=0.92	43yrs	323
The marriage rate in Idaho	r=0.94	23yrs	320
The number of counter and rental clerks in Utah	r=0.95	20yrs	318
Petroluem consumption in Romania	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.93	43yrs	312
The marriage rate in Virginia	r=0.94	23yrs	310
Arson in United States	r=0.95	38yrs	304
Gasoline pumped in Cuba	r=0.91	42yrs	303
The divorce rate in North Carolina	r=0.93	23yrs	300
Air pollution in New York City	r=0.9	43yrs	300
Kerosene used in Hong Kong	r=0.91	42yrs	293
Burglary rates in the US	r=0.94	38yrs	292
The divorce rate in Ohio	r=0.93	23yrs	290
Gasoline pumped in Somalia	r=0.91	42yrs	283
The divorce rate in Tennessee	r=0.93	23yrs	280
The number of telemarketers in New York	r=0.95	20yrs	280
Kerosene used in Thailand	r=0.91	42yrs	273
The number of computer programmers in Tennessee	r=0.95	20yrs	270
The marriage rate in Ohio	r=0.93	23yrs	268
Kerosene used in Argentina	r=0.9	42yrs	262
The marriage rate in South Carolina	r=0.93	23yrs	258
The number of telemarketers in California	r=0.94	20yrs	258
Arson in California	r=0.95	38yrs	254
Kerosene used in Bolivia	r=0.9	42yrs	252
The marriage rate in Wyoming	r=0.93	23yrs	248
The number of cooks, institution and cafeteria in Louisiana	r=0.95	20yrs	248
Arson in Colorado	r=0.95	38yrs	244
Kerosene used in Cuba	r=0.9	42yrs	242
The divorce rate in Kentucky	r=0.92	23yrs	238
The number of bill collectors in Maryland	r=0.94	20yrs	238
Burglaries in Minnesota	r=0.95	38yrs	234
The divorce rate in Wyoming	r=0.92	23yrs	228
The number of CEOs in Massachusetts	r=0.94	19yrs	228
Burglaries in New Mexico	r=0.95	38yrs	224
Gasoline pumped in Germany	r=0.9	32yrs	222
The number of file clerks in Mississippi	r=0.95	20yrs	218
The marriage rate in Kansas	r=0.92	23yrs	217
Robberies in Michigan	r=0.95	38yrs	214
Jet fuel used in Ukraine	r=0.92	30yrs	212
The divorce rate in Florida	r=0.91	23yrs	207
Burglaries in Montana	r=0.94	38yrs	202
Petroluem consumption in Uzbekistan	r=0.91	30yrs	201
The marriage rate in Alabama	r=0.91	23yrs	196
Burglaries in New Jersey	r=0.94	38yrs	192
The marriage rate in Kentucky	r=0.91	23yrs	186
Kerosene used in Romania	r=0.9	42yrs	172

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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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