Top variables that correlate with Popularity of the first name Randolph

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Kerosene used in Mexico	r=0.95	40yrs	427
The distance between Neptune and Mercury	r=0.96	48yrs	420
Average number of milk cows in the United States	r=0.91	43yrs	418
The distance between Neptune and Earth	r=0.95	48yrs	418
The distance between Neptune and the moon	r=0.95	48yrs	418
Burglaries in New York	r=0.97	38yrs	417
Burglaries in California	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
The marriage rate in Arkansas	r=0.96	23yrs	413
The marriage rate in South Dakota	r=0.95	23yrs	412
Viewership count for Days of Our Lives	r=0.91	47yrs	404
Kerosene used in Venezuela	r=0.95	42yrs	399
Air pollution in Oxnard, California	r=0.96	41yrs	394
Air pollution in San Diego, California	r=0.95	43yrs	394
US household spending on clothing	r=0.95	23yrs	392
US household spending on clothing for men	r=0.95	23yrs	392
US household spending on books	r=0.95	23yrs	392
The number of travel agents in Connecticut	r=0.96	20yrs	390
The number of sewing machine operators in New York	r=0.96	20yrs	390
The number of counter and rental clerks in Pennsylvania	r=0.96	20yrs	390
Burglaries in Oregon	r=0.96	38yrs	386
The divorce rate in Alabama	r=0.95	23yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
Physical album shipment volume in the United States	r=0.95	24yrs	382
Burglaries in Connecticut	r=0.96	38yrs	376
The wind speed in Austin	r=0.93	39yrs	376
Cottage cheese consumption	r=0.92	32yrs	374
Frozen yogurt consumption	r=0.92	32yrs	374
Google searches for 'shook'	r=0.91	19yrs	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
United States music album sales	r=0.92	16yrs	370
Kerosene used in Turkiye	r=0.94	43yrs	368
Air pollution in Los Angeles	r=0.95	43yrs	368
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	366
The number of telemarketers in Pennsylvania	r=0.95	20yrs	360
Highest Nielsen rating for a TV show each year	r=0.85	46yrs	360
US household spending on clothin for women	r=0.94	23yrs	360
The distance between Neptune and the Sun	r=0.95	48yrs	358
Robberies in Oregon	r=0.96	38yrs	356
Petroluem consumption in Bulgaria	r=0.93	42yrs	356
The divorce rate in Ohio	r=0.95	23yrs	353
The number of switchboard operators in Virginia	r=0.96	20yrs	350
Kerosene used in Thailand	r=0.93	42yrs	346
Arson in New York	r=0.95	38yrs	344
The marriage rate in South Carolina	r=0.95	23yrs	342
The number of sewing machine operators in California	r=0.95	20yrs	338
Air pollution in Los Angeles	r=0.95	43yrs	338
Kerosene used in Uruguay	r=0.93	42yrs	336
Burglaries in Rhode Island	r=0.95	38yrs	334
The marriage rate in Tennessee	r=0.95	23yrs	332
Carjackings in the US	r=0.93	27yrs	330
The number of switchboard operators in Massachusetts	r=0.95	20yrs	328
Air pollution in New York City	r=0.94	43yrs	326
Robberies in Michigan	r=0.95	38yrs	324
Kerosene used in Brazil	r=0.92	42yrs	324
The divorce rate in Oregon	r=0.94	23yrs	322
The number of file clerks in Massachusetts	r=0.95	20yrs	318
Gasoline pumped in Cuba	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.94	43yrs	313
The divorce rate in Tennessee	r=0.94	23yrs	312
The number of switchboard operators in Nevada	r=0.95	20yrs	308
Kerosene used in Cuba	r=0.92	42yrs	304
Arson in United States	r=0.94	38yrs	302
Air pollution in New York City	r=0.91	43yrs	302
The marriage rate in Nevada	r=0.94	23yrs	300
The number of data entry keyers in New York	r=0.95	20yrs	298
Kerosene used in Ecuador	r=0.92	42yrs	294
Burglary rates in the US	r=0.94	38yrs	292
The marriage rate in Virginia	r=0.94	23yrs	290
Air pollution in Oxnard, California	r=0.92	43yrs	290
The number of maintenance workers, machinery in Virginia	r=0.95	20yrs	288
Gasoline pumped in France	r=0.91	43yrs	284
The marriage rate in West Virginia	r=0.94	23yrs	280
Gasoline pumped in Somalia	r=0.92	42yrs	274
The number of orderlies in Texas	r=0.95	11yrs	270
The marriage rate in Wyoming	r=0.94	23yrs	270
Kerosene used in Argentina	r=0.91	42yrs	263
The divorce rate in Florida	r=0.93	23yrs	260
Burglaries in New Mexico	r=0.95	38yrs	254
Kerosene used in Hong Kong	r=0.91	42yrs	253
The divorce rate in North Carolina	r=0.93	23yrs	250
Petroluem consumption in Romania	r=0.91	42yrs	243
Arson in California	r=0.94	38yrs	242
The divorce rate in Wyoming	r=0.93	23yrs	240
The number of computer programmers in Tennessee	r=0.95	20yrs	240
Kerosene used in Australia	r=0.9	43yrs	232
Arson in Colorado	r=0.94	38yrs	232
The marriage rate in Idaho	r=0.93	23yrs	228
Burglaries in Florida	r=0.94	38yrs	222
The marriage rate in Ohio	r=0.93	23yrs	218
Burglaries in Alaska	r=0.94	38yrs	212
Petroluem consumption in Uzbekistan	r=0.91	30yrs	211
The marriage rate in Kansas	r=0.92	23yrs	207
Burglaries in Michigan	r=0.94	38yrs	202
The marriage rate in Nebraska	r=0.92	23yrs	197
Burglaries in Minnesota	r=0.94	38yrs	192
The marriage rate in Texas	r=0.92	23yrs	187

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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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