Top variables that correlate with Popularity of the first name Yvonne

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Yvonne correlates with...

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Uruguay	r=0.96	42yrs	430
Carjackings in the US	r=0.96	27yrs	424
Burglaries in New York	r=0.99	38yrs	420
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Tennessee	r=0.96	23yrs	413
The marriage rate in Idaho	r=0.95	23yrs	412
The wind speed in Austin	r=0.96	39yrs	410
Kerosene used in Venezuela	r=0.94	42yrs	398
AIG's stock price (AIG)	r=0.92	21yrs	395
Air pollution in San Diego, California	r=0.95	43yrs	394
Lloyds Banking Group's stock price (LYG)	r=0.9	21yrs	392
The number of telemarketers in California	r=0.96	20yrs	392
The number of couriers and messengers in Indiana	r=0.97	20yrs	392
The number of CEOs in Ohio	r=0.96	20yrs	392
Air pollution in Oxnard, California	r=0.95	41yrs	392
Burglaries in California	r=0.98	38yrs	388
Average number of milk cows in the United States	r=0.9	43yrs	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
The wind speed in San Diego	r=0.95	39yrs	379
Burglaries in Connecticut	r=0.98	38yrs	378
US birth rates of triplets or more	r=0.9	20yrs	378
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
Google searches for 'learn spanish'	r=0.93	19yrs	376
The wind speed in Nashville	r=0.93	39yrs	376
Frozen yogurt consumption	r=0.93	32yrs	375
Google searches for 'Panama Canal'	r=0.92	19yrs	374
Google searches for 'panama canal'	r=0.91	19yrs	373
Viewership count for Days of Our Lives	r=0.88	47yrs	370
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	368
Kerosene used in Mexico	r=0.95	40yrs	367
Customer satisfaction with Verizon	r=0.87	28yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
The number of typists in Ohio	r=0.97	20yrs	362
Citigroup's stock price (C)	r=0.89	21yrs	360
Robberies in New York	r=0.98	38yrs	358
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
The distance between Neptune and the Sun	r=0.92	48yrs	354
The divorce rate in Tennessee	r=0.95	23yrs	353
The number of brickmasons in Alabama	r=0.96	20yrs	350
Arson in New York	r=0.97	38yrs	347
Kerosene used in Portugal	r=0.92	43yrs	346
Google searches for 'snoop dog'	r=0.91	19yrs	343
The marriage rate in Arkansas	r=0.95	23yrs	342
The number of switchboard operators in Michigan	r=0.96	20yrs	340
Robberies in Oregon	r=0.97	38yrs	337
Kerosene used in Argentina	r=0.92	42yrs	334
Air pollution in Los Angeles	r=0.93	43yrs	334
The divorce rate in Alabama	r=0.94	23yrs	332
The number of data entry keyers in Nebraska	r=0.96	20yrs	330
Arson in California	r=0.96	38yrs	326
Gasoline pumped in Cuba	r=0.92	42yrs	324
Air pollution in San Diego, California	r=0.93	43yrs	322
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	320
The marriage rate in South Dakota	r=0.94	23yrs	320
Burglaries in New Jersey	r=0.96	38yrs	316
Kerosene used in Cuba	r=0.92	42yrs	314
The marriage rate in Wyoming	r=0.94	23yrs	310
The number of telephone operators in Florida	r=0.96	19yrs	309
Motor vehicle thefts in New Jersey	r=0.96	38yrs	306
Kerosene used in Thailand	r=0.92	42yrs	304
The number of meter readers, utilities in Alabama	r=0.95	20yrs	298
The marriage rate in Alabama	r=0.93	23yrs	298
Burglaries in Florida	r=0.95	38yrs	294
Kerosene used in Ecuador	r=0.91	42yrs	293
The number of data entry keyers in Alabama	r=0.95	20yrs	288
The marriage rate in Virginia	r=0.93	23yrs	288
Burglaries in Minnesota	r=0.95	38yrs	284
Petroluem consumption in Romania	r=0.91	42yrs	283
The number of data entry keyers in California	r=0.95	20yrs	278
The marriage rate in Ohio	r=0.92	23yrs	277
Burglaries in Rhode Island	r=0.95	38yrs	274
Petroluem consumption in Bulgaria	r=0.9	42yrs	272
The number of sewing machine operators in California	r=0.95	20yrs	268
The divorce rate in North Carolina	r=0.91	23yrs	267
Burglaries in Colorado	r=0.95	38yrs	264
Kerosene used in Hong Kong	r=0.9	42yrs	262
The number of prepress technicians and workers in Illinois	r=0.95	20yrs	258
The marriage rate in South Carolina	r=0.91	23yrs	256
Motor vehicle thefts in Oklahoma	r=0.95	38yrs	254
The number of typists in Iowa	r=0.95	20yrs	248
Robberies in Michigan	r=0.95	38yrs	244
Jet fuel used in Ukraine	r=0.93	30yrs	244
The marriage rate in Kentucky	r=0.9	23yrs	244
The number of data entry keyers in New York	r=0.95	20yrs	238
Petroluem consumption in Azerbaijan	r=0.91	30yrs	231
The number of furniture finishers in North Carolina	r=0.95	20yrs	228
Burglary rates in the US	r=0.94	38yrs	222
Petroluem consumption in Ukraine	r=0.91	30yrs	221
The number of switchboard operators in Ohio	r=0.95	20yrs	218
Robberies in the US	r=0.92	38yrs	210
The number of proofreaders in Pennsylvania	r=0.95	20yrs	208
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	206
The number of forest and conservation workers in New Jersey	r=0.95	17yrs	196
Jet fuel used in Former Czechoslovakia	r=0.94	13yrs	188
Gasoline pumped in France	r=0.9	43yrs	172

Loading...!

<< Back to discover a correlation

^{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.)


Issue:
Additional details: Optional
Confirm you are a human: