Top variables that correlate with Popularity of the first name Jarvis

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Jarvis correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Egypt	r=0.96	42yrs	430
Kerosene used in Pakistan	r=0.95	42yrs	429
Burglaries in New York	r=0.97	38yrs	417
Burglaries in Connecticut	r=0.97	38yrs	417
Arson in New York	r=0.96	38yrs	416
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	398
Kerosene used in Argentina	r=0.93	42yrs	396
Average number of comments on SciShow Space YouTube videos	r=0.97	9yrs	396
Average views of SciShow Space YouTube videos	r=0.98	9yrs	388
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	386
The number of fish and game wardens in Alabama	r=0.95	16yrs	384
Robberies in New York	r=0.96	38yrs	376
The wind speed in Austin	r=0.93	39yrs	376
Frozen yogurt consumption	r=0.93	32yrs	375
The marriage rate in Idaho	r=0.9	23yrs	374
The marriage rate in Louisiana	r=0.9	23yrs	374
The wind speed in San Diego	r=0.92	39yrs	374
United States music album sales	r=0.9	16yrs	367
Burglaries in California	r=0.95	38yrs	364
Gasoline pumped in France	r=0.91	43yrs	364
Air pollution in San Diego, California	r=0.93	43yrs	362
Air pollution in Santa Maria, California	r=0.93	43yrs	362
Air pollution in Los Angeles	r=0.9	43yrs	360
The number of bill collectors in Massachusetts	r=0.94	20yrs	358
The number of bill collectors in Washington	r=0.93	20yrs	357
Barclays' stock price (BCS)	r=0.86	21yrs	356
Motor vehicle thefts in New Jersey	r=0.95	38yrs	354
Kerosene used in Cuba	r=0.91	42yrs	353
The divorce rate in Delaware	r=0.9	23yrs	346
Carjackings in the US	r=0.95	27yrs	343
Kerosene used in North Korea	r=0.91	42yrs	343
Physical album shipment volume in the United States	r=0.88	24yrs	342
xkcd comics published about existentialism	r=0.89	16yrs	342
Cottage cheese consumption	r=0.88	32yrs	338
The wind speed in Milwaukee	r=0.87	39yrs	337
Kerosene used in Thailand	r=0.91	42yrs	333
Arson in United States	r=0.93	38yrs	331
Air pollution in Riverside, California	r=0.92	43yrs	330
The number of receptionists in Minnesota	r=0.92	20yrs	326
Gasoline pumped in Austria	r=0.9	43yrs	322
Burglary rates in the US	r=0.93	38yrs	321
Air pollution in Oxnard, California	r=0.9	43yrs	317
The number of switchboard operators in Virginia	r=0.93	20yrs	316
The divorce rate in New Hampshire	r=0.89	23yrs	314
Gasoline pumped in Cuba	r=0.9	42yrs	312
Robberies in the US	r=0.91	38yrs	308
The wind speed in Nashville	r=0.87	39yrs	307
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	305
The number of office clerks in Alabama	r=0.92	20yrs	304
The marriage rate in Arizona	r=0.89	23yrs	302
The number of photographers in Arkansas	r=0.92	20yrs	294
The marriage rate in Arkansas	r=0.89	23yrs	292
The number of cutters and trimmers, hand in California	r=0.92	20yrs	284
The marriage rate in South Dakota	r=0.89	23yrs	282
Burglaries in Florida	r=0.95	38yrs	274
The number of data entry keyers in Hawaii	r=0.92	20yrs	274
Kerosene used in Venezuela	r=0.9	42yrs	272
The marriage rate in Virginia	r=0.89	23yrs	272
Air pollution in Los Angeles	r=0.89	43yrs	268
Motor vehicle thefts in New York	r=0.95	38yrs	264
The number of surveying and mapping technicians in Illinois	r=0.92	20yrs	264
The marriage rate in Wyoming	r=0.89	23yrs	262
Petroluem consumption in North Korea	r=0.89	42yrs	260
Average number of milk cows in the United States	r=0.72	43yrs	255
The number of data entry keyers in Maryland	r=0.92	20yrs	254
Burglaries in Rhode Island	r=0.94	38yrs	252
The divorce rate in Illinois	r=0.88	23yrs	252
Fossil fuel use in Sierra Leone	r=0.86	42yrs	248
The number of postmasters in Massachusetts	r=0.92	20yrs	244
Burglaries in Texas	r=0.94	38yrs	242
The divorce rate in North Carolina	r=0.88	23yrs	242
Jet fuel used in Afghanistan	r=0.87	42yrs	237
The number of bill collectors in Montana	r=0.91	20yrs	234
Motor vehicle thefts in Rhode Island	r=0.94	38yrs	232
The marriage rate in Alaska	r=0.88	23yrs	231
Kerosene used in Brazil	r=0.87	42yrs	227
The number of file clerks in New York	r=0.92	20yrs	224
Robberies in Oregon	r=0.94	38yrs	222
The marriage rate in Kentucky	r=0.88	23yrs	221
Jet fuel used in French Polynesia	r=0.87	42yrs	217
The number of library technicians in Rhode Island	r=0.92	20yrs	214
Violent crime rates	r=0.87	38yrs	212
The marriage rate in Missouri	r=0.88	23yrs	211
Gasoline pumped in Somalia	r=0.86	42yrs	206
The number of proofreaders in Tennessee	r=0.93	19yrs	204
Burglaries in Massachusetts	r=0.93	38yrs	201
The marriage rate in Nevada	r=0.88	23yrs	201
The number of legislators in Virginia	r=0.91	20yrs	194
Burglaries in New Jersey	r=0.93	38yrs	191
The divorce rate in Florida	r=0.87	23yrs	191
Petroluem consumption in Azerbaijan	r=0.88	30yrs	186
The number of advertising sales agents in Wisconsin	r=0.92	20yrs	184
The divorce rate in Kentucky	r=0.87	23yrs	181
Petroluem consumption in Ukraine	r=0.86	30yrs	174
The number of carpenters in Alabama	r=0.91	20yrs	172
The divorce rate in Maine	r=0.87	23yrs	171
Jet fuel used in Ukraine	r=0.86	30yrs	164
The number of sewing machine operators in California	r=0.91	20yrs	162
The divorce rate in Tennessee	r=0.87	23yrs	161
Gasoline pumped in Latvia	r=0.85	31yrs	153
The divorce rate in Virginia	r=0.87	23yrs	151

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: