Top variables that correlate with Popularity of the first name Harold

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

Variable	Correlation	Years	Has img?
Burglaries in New York	r=0.98	38yrs	No
Citigroup's stock price (C)	r=0.9	21yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.97	40yrs	430
Carjackings in the US	r=0.95	27yrs	423
Average number of milk cows in the United States	r=0.92	43yrs	420
Arson in New York	r=0.97	38yrs	417
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
Air pollution in San Diego, California	r=0.96	43yrs	396
Air pollution in Oxnard, California	r=0.95	41yrs	392
Burglaries in California	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.91	48yrs	382
Physical album shipment volume in the United States	r=0.93	24yrs	380
The marriage rate in Arizona	r=0.94	23yrs	380
The marriage rate in Virginia	r=0.93	23yrs	378
Burglaries in Colorado	r=0.97	38yrs	377
The marriage rate in Arkansas	r=0.92	23yrs	377
The wind speed in Austin	r=0.93	39yrs	376
The wind speed in Nashville	r=0.93	39yrs	376
The wind speed in San Diego	r=0.92	39yrs	374
Cottage cheese consumption	r=0.91	32yrs	372
Frozen yogurt consumption	r=0.9	32yrs	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
Viewership count for Days of Our Lives	r=0.85	47yrs	365
AIG's stock price (AIG)	r=0.9	21yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.88	21yrs	359
Kerosene used in Venezuela	r=0.94	42yrs	358
Robberies in Oregon	r=0.97	38yrs	357
The number of computer programmers in Vermont	r=0.93	19yrs	356
The number of counter and rental clerks in Vermont	r=0.93	20yrs	356
US household spending on clothing	r=0.91	23yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
The number of photographers in Connecticut	r=0.92	20yrs	354
The distance between Neptune and the Sun	r=0.89	48yrs	349
The distance between Neptune and Earth	r=0.89	48yrs	349
The marriage rate in Idaho	r=0.92	23yrs	347
Burglaries in Connecticut	r=0.96	38yrs	346
Petroluem consumption in Bulgaria	r=0.93	42yrs	346
The marriage rate in Nevada	r=0.92	23yrs	337
Kerosene used in Portugal	r=0.92	43yrs	336
Air pollution in Los Angeles	r=0.93	43yrs	334
The marriage rate in Tennessee	r=0.92	23yrs	327
Petroluem consumption in Romania	r=0.93	42yrs	326
The number of telemarketers in New Jersey	r=0.91	20yrs	324
Air pollution in New York City	r=0.91	43yrs	322
Arson in United States	r=0.93	38yrs	321
The distance between Neptune and the moon	r=0.89	48yrs	319
The marriage rate in Wisconsin	r=0.92	23yrs	317
Kerosene used in Ecuador	r=0.92	42yrs	314
The number of heat treating equipment setters, operators, and tenders, metal and plastic in New York	r=0.92	20yrs	314
Air pollution in San Diego, California	r=0.93	43yrs	312
Burglary rates in the US	r=0.93	38yrs	311
The divorce rate in Alabama	r=0.91	23yrs	307
Gasoline pumped in Cuba	r=0.91	42yrs	303
The number of survey researchers in Arizona	r=0.91	20yrs	302
Air pollution in Spokane, Washington	r=0.92	43yrs	300
The marriage rate in Ohio	r=0.91	23yrs	296
Kerosene used in Cuba	r=0.91	42yrs	293
The number of brickmasons in Colorado	r=0.91	20yrs	292
The marriage rate in Wyoming	r=0.91	23yrs	286
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	285
Burglaries in Oregon	r=0.95	38yrs	284
Gasoline pumped in Somalia	r=0.91	42yrs	283
The number of professional painters in Illinois	r=0.91	20yrs	282
Motor vehicle thefts in Oklahoma	r=0.95	38yrs	274
Kerosene used in Argentina	r=0.9	42yrs	272
The number of brickmasons in Georgia	r=0.9	20yrs	271
Kerosene used in Bolivia	r=0.9	42yrs	262
Arson in California	r=0.94	38yrs	262
The number of switchboard operators in Idaho	r=0.9	20yrs	261
Kerosene used in Hong Kong	r=0.9	42yrs	252
Arson in Colorado	r=0.94	38yrs	252
The number of bakers in Indiana	r=0.9	20yrs	251
Burglaries in Florida	r=0.94	38yrs	242
The marriage rate in Kentucky	r=0.89	23yrs	242
The number of brickmasons in Iowa	r=0.9	20yrs	241
Jet fuel used in Ukraine	r=0.94	30yrs	236
Burglaries in Minnesota	r=0.94	38yrs	232
The marriage rate in Missouri	r=0.89	23yrs	232
The number of laundry and dry-cleaning workers in Minnesota	r=0.9	20yrs	231
Burglaries in Rhode Island	r=0.94	38yrs	222
The marriage rate in North Carolina	r=0.89	23yrs	222
Petroluem consumption in Uzbekistan	r=0.91	30yrs	221
The number of data entry keyers in Missouri	r=0.9	20yrs	221
Burglaries in Texas	r=0.94	38yrs	212
The marriage rate in South Dakota	r=0.89	23yrs	212
The number of carpenters in New Jersey	r=0.9	20yrs	211
Petroluem consumption in Ukraine	r=0.9	30yrs	210
Motor vehicle thefts in New Jersey	r=0.94	38yrs	202
The divorce rate in Tennessee	r=0.88	23yrs	202
The number of boiler operators in Texas	r=0.9	20yrs	201
Robberies in Michigan	r=0.94	38yrs	192
The number of procurement clerks in Vermont	r=0.9	20yrs	191
Petroluem consumption in Former Czechoslovakia	r=0.93	13yrs	187
The number of professional painters in Virginia	r=0.9	20yrs	181
Kerosene used in Norway	r=0.9	43yrs	172
The number of travel agents in Puerto Rico	r=0.9	20yrs	171
The number of surgens in Alabama	r=0.91	16yrs	158

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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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