Top variables that correlate with Popularity of the first name Kimberley

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.96	38yrs	436
Burglary rates in the US	r=0.96	38yrs	436
Kerosene used in Turkiye	r=0.97	43yrs	433
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Uruguay	r=0.96	42yrs	430
Burglaries in New York	r=0.99	38yrs	420
United States music album sales	r=0.96	16yrs	406
Kerosene used in Mexico	r=0.95	40yrs	397
The number of bill collectors in Montana	r=0.98	20yrs	394
The number of CEOs in Michigan	r=0.95	20yrs	390
The number of data entry keyers in Minnesota	r=0.96	20yrs	390
Air pollution in Steamboat Springs, Colorado	r=0.95	38yrs	390
Burglaries in California	r=0.98	38yrs	388
Average number of milk cows in the United States	r=0.89	43yrs	386
The divorce rate in North Carolina	r=0.93	23yrs	380
The divorce rate in Wyoming	r=0.93	23yrs	380
Burglaries in Connecticut	r=0.98	38yrs	378
US birth rates of triplets or more	r=0.9	20yrs	378
Google searches for 'oprah winfrey'	r=0.94	19yrs	378
The divorce rate in Arkansas	r=0.92	23yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Physical album shipment volume in the United States	r=0.91	24yrs	376
Cigarette Smoking Rate for US adults	r=0.92	21yrs	375
The wind speed in San Diego	r=0.92	39yrs	374
xkcd comics published about existentialism	r=0.9	16yrs	373
Cottage cheese consumption	r=0.91	32yrs	372
Frozen yogurt consumption	r=0.91	32yrs	372
GMO use in corn grown in Texas	r=0.95	18yrs	372
Google searches for 'panama canal'	r=0.9	19yrs	372
Google searches for 'desktop background'	r=0.92	16yrs	372
The wind speed in Nashville	r=0.9	39yrs	372
Arson in New York	r=0.97	38yrs	367
Kerosene used in Portugal	r=0.93	43yrs	367
Air pollution in Los Angeles	r=0.92	43yrs	363
Air pollution in San Diego, California	r=0.94	43yrs	363
The number of conveyor operators in New Jersey	r=0.96	20yrs	360
US household spending on clothin for women	r=0.93	23yrs	358
Burglaries in Colorado	r=0.97	38yrs	357
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
The number of file clerks in New York	r=0.96	20yrs	350
The divorce rate in Delaware	r=0.92	23yrs	348
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	347
Kerosene used in Norway	r=0.92	43yrs	346
The number of meter readers, utilities in Tennessee	r=0.96	20yrs	340
The divorce rate in Kentucky	r=0.92	23yrs	338
Robberies in Michigan	r=0.97	38yrs	337
Kerosene used in Venezuela	r=0.92	42yrs	334
Air pollution in Los Angeles	r=0.91	43yrs	332
The number of switchboard operators in Virginia	r=0.96	20yrs	330
The divorce rate in Maine	r=0.92	23yrs	328
Burglaries in Florida	r=0.96	38yrs	326
Petroluem consumption in Romania	r=0.91	42yrs	323
Air pollution in Oxnard, California	r=0.95	41yrs	322
The number of bill collectors in Washington	r=0.95	20yrs	320
The divorce rate in New Hampshire	r=0.92	23yrs	318
Burglaries in Minnesota	r=0.96	38yrs	316
Petroluem consumption in Bulgaria	r=0.9	42yrs	312
Air pollution in New York City	r=0.9	43yrs	310
The number of CEOs in Massachusetts	r=0.95	19yrs	309
The marriage rate in Idaho	r=0.92	23yrs	307
Burglaries in New Jersey	r=0.96	38yrs	306
Kerosene used in Cuba	r=0.9	42yrs	302
Air pollution in San Diego, California	r=0.91	43yrs	298
The number of travel agents in Connecticut	r=0.95	20yrs	298
The marriage rate in Louisiana	r=0.92	23yrs	297
Burglaries in New Mexico	r=0.96	38yrs	296
Carjackings in the US	r=0.94	27yrs	292
Kerosene used in Ecuador	r=0.9	42yrs	292
The number of file clerks in Washington	r=0.95	20yrs	288
The marriage rate in Wyoming	r=0.92	23yrs	287
Burglaries in Rhode Island	r=0.96	38yrs	286
The number of compensation and benefits managers in Wisconsin	r=0.95	19yrs	278
The divorce rate in Tennessee	r=0.91	23yrs	277
Burglaries in Virginia	r=0.96	38yrs	276
The divorce rate in Virginia	r=0.91	23yrs	267
Robberies in Oregon	r=0.96	38yrs	266
The number of surgens in Wisconsin	r=0.96	16yrs	266
The marriage rate in Alabama	r=0.91	23yrs	256
The number of fish and game wardens in Alabama	r=0.96	16yrs	256
Burglaries in Massachusetts	r=0.95	38yrs	254
Kerosene used in Argentina	r=0.9	42yrs	252
The marriage rate in Arkansas	r=0.91	23yrs	246
Burglaries in Arizona	r=0.95	38yrs	244
The number of executive administrative assistants in Minnesota	r=0.96	13yrs	243
Gasoline pumped in Cuba	r=0.9	42yrs	242
The marriage rate in Nevada	r=0.91	23yrs	236
Burglaries in Oklahoma	r=0.95	38yrs	234
The number of executive administrative assistants in North Dakota	r=0.96	13yrs	233
Kerosene used in Thailand	r=0.9	42yrs	232
The marriage rate in South Dakota	r=0.91	23yrs	226
Robberies in New York	r=0.95	38yrs	224
The number of executive administrative assistants in Ohio	r=0.96	13yrs	223
Kerosene used in Hong Kong	r=0.89	42yrs	220
The divorce rate in Colorado	r=0.9	23yrs	216
The number of career/technical education teachers, secondary school in Michigan	r=0.95	13yrs	212
Kerosene used in United States	r=0.88	43yrs	210
The divorce rate in Mississippi	r=0.9	23yrs	206
The divorce rate in Missouri	r=0.9	23yrs	196
The divorce rate in Washington	r=0.9	23yrs	186
The number of receptionists in Minnesota	r=0.95	20yrs	180
The number of procurement clerks in Alabama	r=0.95	20yrs	168

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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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