Top variables that correlate with Popularity of the first name Lawrence

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Venezuela	r=0.97	42yrs	432
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
Kerosene used in Argentina	r=0.95	42yrs	429
The distance between Neptune and Mercury	r=0.96	48yrs	420
Burglaries in New York	r=0.99	38yrs	420
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 California	r=0.98	38yrs	418
Burglaries in Connecticut	r=0.98	38yrs	418
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Arkansas	r=0.96	23yrs	413
The marriage rate in Idaho	r=0.96	23yrs	413
The marriage rate in Nevada	r=0.96	23yrs	413
Viewership count for Days of Our Lives	r=0.92	47yrs	406
Kerosene used in Turkiye	r=0.95	43yrs	400
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in Los Angeles	r=0.95	43yrs	398
Air pollution in San Diego, California	r=0.96	43yrs	396
The number of data entry keyers in California	r=0.97	20yrs	392
The number of sewing machine operators in California	r=0.96	20yrs	390
The number of file clerks in Colorado	r=0.96	20yrs	390
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	388
Average number of milk cows in the United States	r=0.89	43yrs	386
The marriage rate in Virginia	r=0.96	23yrs	383
US birth rates of triplets or more	r=0.91	20yrs	380
The wind speed in San Diego	r=0.95	39yrs	379
Google searches for 'panama canal'	r=0.94	19yrs	378
Google searches for 'Panama Canal'	r=0.94	19yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Arson in New York	r=0.97	38yrs	377
The wind speed in Nashville	r=0.93	39yrs	376
Frozen yogurt consumption	r=0.92	32yrs	374
The marriage rate in Tennessee	r=0.95	23yrs	372
Cottage cheese consumption	r=0.9	32yrs	370
Gasoline pumped in Bulgaria	r=0.94	42yrs	368
Robberies in New York	r=0.97	38yrs	367
Air pollution in San Diego, California	r=0.96	43yrs	366
US household spending on clothing	r=0.95	23yrs	362
Highest Nielsen rating for a TV show each year	r=0.86	46yrs	361
The number of photographers in Connecticut	r=0.96	20yrs	360
AIG's stock price (AIG)	r=0.89	21yrs	360
US household spending on clothing for men	r=0.94	23yrs	360
Gasoline pumped in Cuba	r=0.94	42yrs	358
The distance between Neptune and the Sun	r=0.95	48yrs	358
Robberies in Oregon	r=0.97	38yrs	357
Air pollution in Oxnard, California	r=0.96	41yrs	354
The number of typists in Connecticut	r=0.96	20yrs	350
Kerosene used in Cuba	r=0.94	42yrs	348
Burglaries in Colorado	r=0.96	38yrs	346
The number of sewing machine operators in Massachusetts	r=0.96	20yrs	340
Kerosene used in Thailand	r=0.94	42yrs	338
Motor vehicle thefts in New Jersey	r=0.96	38yrs	336
The marriage rate in Ohio	r=0.95	23yrs	332
The number of data entry keyers in Nebraska	r=0.96	20yrs	330
Kerosene used in Uruguay	r=0.94	42yrs	328
Burglaries in Florida	r=0.95	38yrs	324
The marriage rate in South Dakota	r=0.95	23yrs	322
The number of sewing machine operators in New York	r=0.96	20yrs	320
Carjackings in the US	r=0.95	27yrs	318
Gasoline pumped in France	r=0.93	43yrs	317
Burglaries in Rhode Island	r=0.95	38yrs	314
Air pollution in Riverside, California	r=0.94	43yrs	313
The divorce rate in Tennessee	r=0.94	23yrs	312
The number of meter readers, utilities in Wisconsin	r=0.96	20yrs	310
Kerosene used in Mexico	r=0.94	40yrs	306
Air pollution in Oxnard, California	r=0.93	43yrs	302
The marriage rate in Kentucky	r=0.94	23yrs	300
The number of data entry keyers in New York	r=0.95	20yrs	298
Petroluem consumption in Romania	r=0.93	42yrs	296
Arson in United States	r=0.94	38yrs	292
The marriage rate in Missouri	r=0.94	23yrs	290
The number of electrical and electronics repairers, commercial and industrial equipment in New York	r=0.95	20yrs	288
Kerosene used in Ecuador	r=0.92	42yrs	284
Burglary rates in the US	r=0.94	38yrs	282
The marriage rate in Wisconsin	r=0.94	23yrs	280
The number of data entry keyers in Tennessee	r=0.95	20yrs	278
Gasoline pumped in Somalia	r=0.92	42yrs	274
The marriage rate in Wyoming	r=0.94	23yrs	270
Arson in Idaho	r=0.95	22yrs	268
The number of professional painters in Virginia	r=0.95	20yrs	268
Kerosene used in Brazil	r=0.91	42yrs	263
The divorce rate in Alabama	r=0.93	23yrs	260
Robberies in the US	r=0.9	38yrs	256
Petroluem consumption in Bulgaria	r=0.91	42yrs	253
The marriage rate in Arizona	r=0.93	23yrs	248
Kerosene used in Egypt	r=0.91	42yrs	243
The marriage rate in North Carolina	r=0.93	23yrs	238
Kerosene used in Hong Kong	r=0.9	42yrs	232
The number of telemarketers in Illinois	r=0.95	20yrs	230
The marriage rate in South Carolina	r=0.93	23yrs	228
Burglaries in Texas	r=0.95	38yrs	224
The divorce rate in North Carolina	r=0.92	23yrs	218
Jet fuel used in Ukraine	r=0.95	30yrs	217
Robberies in Michigan	r=0.95	38yrs	214
The marriage rate in Alabama	r=0.92	23yrs	207
Arson in California	r=0.94	38yrs	202
Petroluem consumption in Ukraine	r=0.91	30yrs	201
The marriage rate in Louisiana	r=0.92	23yrs	197
Arson in Colorado	r=0.94	38yrs	192
The divorce rate in New Hampshire	r=0.91	23yrs	187
Fossil fuel use in Sierra Leone	r=0.89	42yrs	173

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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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