Top variables that correlate with Popularity of the first name Jami

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Jami correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.97	40yrs	430
Carjackings in the US	r=0.96	27yrs	424
Average number of milk cows in the United States	r=0.93	43yrs	422
Physical album shipment volume in the United States	r=0.98	24yrs	417
Burglaries in New York	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
Google searches for 'learn spanish'	r=0.98	19yrs	414
The marriage rate in Nevada	r=0.97	23yrs	414
The marriage rate in Tennessee	r=0.97	23yrs	414
The divorce rate in Alabama	r=0.96	23yrs	414
Google searches for 'black holes'	r=0.97	19yrs	412
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
AIG's stock price (AIG)	r=0.91	21yrs	394
Air pollution in San Diego, California	r=0.95	43yrs	394
The number of CEOs in Kentucky	r=0.97	20yrs	393
US household spending on books	r=0.96	23yrs	393
Citigroup's stock price (C)	r=0.9	21yrs	392
The number of sewing machine operators in Alabama	r=0.97	20yrs	392
The number of telemarketers in California	r=0.96	20yrs	392
Arson in New York	r=0.96	38yrs	386
The distance between Neptune and Mercury	r=0.93	48yrs	385
The divorce rate in Tennessee	r=0.95	23yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
The distance between Neptune and Earth	r=0.91	48yrs	382
The distance between Neptune and the moon	r=0.91	48yrs	382
Google searches for 'report UFO sighting'	r=0.92	19yrs	380
Google searches for 'snoop dog'	r=0.94	19yrs	378
Popularity of the 'all your base' meme	r=0.92	17yrs	378
Burglaries in California	r=0.96	38yrs	376
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
The wind speed in Nashville	r=0.92	39yrs	374
The wind speed in Austin	r=0.91	39yrs	373
The marriage rate in Arkansas	r=0.95	23yrs	372
Cottage cheese consumption	r=0.91	32yrs	372
The wind speed in San Diego	r=0.9	39yrs	372
Pirate attacks globally	r=0.91	14yrs	371
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Robberies in Oregon	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Air pollution in Los Angeles	r=0.92	43yrs	363
The marriage rate in Wyoming	r=0.95	23yrs	362
The number of telemarketers in New Jersey	r=0.96	20yrs	362
Kerosene used in Uruguay	r=0.94	42yrs	358
Burglaries in Oregon	r=0.95	38yrs	354
The number of compensation and benefits managers in Illinois	r=0.98	19yrs	352
The distance between Neptune and the Sun	r=0.9	48yrs	350
Kerosene used in Ecuador	r=0.93	42yrs	346
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	344
Google searches for 'panama canal'	r=0.92	19yrs	344
The number of compensation and benefits managers in Indiana	r=0.98	19yrs	342
Kerosene used in Portugal	r=0.92	43yrs	336
Google searches for 'Panama Canal'	r=0.92	19yrs	334
The number of data entry keyers in Alabama	r=0.96	20yrs	330
Kerosene used in Venezuela	r=0.93	42yrs	326
Google searches for 'oprah winfrey'	r=0.92	19yrs	324
The marriage rate in Idaho	r=0.95	23yrs	322
Arson in United States	r=0.92	38yrs	320
The number of tool and die makers in Arkansas	r=0.96	20yrs	320
Petroluem consumption in Romania	r=0.92	42yrs	314
Google searches for 'matt parker'	r=0.9	19yrs	312
Burglary rates in the US	r=0.92	38yrs	310
The number of office clerks in Delaware	r=0.96	20yrs	310
The marriage rate in Arizona	r=0.94	23yrs	310
Kerosene used in Bolivia	r=0.91	42yrs	303
The number of typists in Florida	r=0.96	20yrs	300
The marriage rate in Ohio	r=0.94	23yrs	300
Kerosene used in Hong Kong	r=0.91	42yrs	293
The number of typists in Iowa	r=0.96	20yrs	290
The marriage rate in South Carolina	r=0.94	23yrs	290
Burglaries in Connecticut	r=0.95	38yrs	284
Gasoline pumped in Somalia	r=0.91	42yrs	283
The number of floral designers in Kentucky	r=0.96	20yrs	280
The marriage rate in South Dakota	r=0.93	23yrs	278
Kerosene used in Romania	r=0.9	42yrs	272
Arson in Colorado	r=0.93	38yrs	271
The number of file clerks in Maryland	r=0.96	20yrs	270
The marriage rate in Virginia	r=0.93	23yrs	268
Burglaries in Alaska	r=0.93	38yrs	261
The number of postal service machine operators in Massachusetts	r=0.96	20yrs	260
The divorce rate in North Carolina	r=0.92	23yrs	258
Jet fuel used in Ukraine	r=0.93	30yrs	254
Burglaries in New Mexico	r=0.93	38yrs	251
The number of postal service machine operators in Minnesota	r=0.96	20yrs	250
The marriage rate in Alabama	r=0.92	23yrs	247
Petroluem consumption in Uzbekistan	r=0.92	30yrs	242
Burglaries in Oklahoma	r=0.93	38yrs	241
The number of typists in New Hampshire	r=0.97	19yrs	240
The marriage rate in Kentucky	r=0.9	23yrs	234
Burglaries in Rhode Island	r=0.93	38yrs	231
The number of sewing machine operators in New Jersey	r=0.96	20yrs	230
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	226
The marriage rate in Wisconsin	r=0.9	23yrs	224
Burglaries in Texas	r=0.93	38yrs	221
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	220
Motor vehicle thefts in Oklahoma	r=0.93	38yrs	211
The number of cutters and trimmers, hand in North Carolina	r=0.96	20yrs	210
Robberies in Michigan	r=0.93	38yrs	201
The number of typists in Ohio	r=0.96	20yrs	200
Arson in California	r=0.92	38yrs	190

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: