Top variables that correlate with Popularity of the first name Elissa

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Elissa correlates with...

Variable	Correlation	Years	Has img?
Robberies in the US	r=0.71	38yrs	No

Popularity of the first name Elissa also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used globally	r=0.89	42yrs	360
The number of library technicians in Puerto Rico	r=0.92	20yrs	354
The number of mechanical drafters in Rhode Island	r=0.9	20yrs	351
Fossil fuel use in Slovakia	r=0.86	29yrs	346
The divorce rate in North Carolina	r=0.88	23yrs	342
The divorce rate in Arizona	r=0.87	23yrs	341
The divorce rate in Ohio	r=0.87	23yrs	341
Burglaries in Nebraska	r=0.86	38yrs	340
Robberies in Puerto Rico	r=0.85	24yrs	325
US household spending on prescription drugs	r=0.89	23yrs	322
Air pollution in Philadelphia, Pennsylvania	r=0.85	43yrs	320
The number of middle school special education teachers in Connecticut	r=0.88	20yrs	318
US household spending on fresh milk and cream	r=0.85	23yrs	316
The divorce rate in Tennessee	r=0.87	23yrs	311
Air pollution in St. Marys, Pennsylvania	r=0.86	33yrs	311
Average number of comments on Numberphile YouTube videos	r=0.86	12yrs	303
The divorce rate in Oregon	r=0.86	23yrs	300
Master's degrees awarded in Social sciences and history	r=0.91	10yrs	296
The divorce rate in Vermont	r=0.85	23yrs	288
The number of air traffic controllers in Connecticut	r=0.87	20yrs	288
The divorce rate in Virginia	r=0.85	23yrs	278
The number of payroll and timekeeping clerks in Iowa	r=0.88	20yrs	278
The number of automotive service technicians and mechanics in New Jersey	r=0.88	20yrs	268
The marriage rate in Arkansas	r=0.85	23yrs	266
The number of environmental engineers in Virginia	r=0.88	20yrs	258
The number of orderlies in District of Columbia	r=0.94	11yrs	248
Kerosene used in United States	r=0.84	43yrs	248
Arson in United States	r=0.78	38yrs	244
The number of bill collectors in Illinois	r=0.86	20yrs	236
Remaining Forest Cover in the Brazilian Amazon	r=0.75	36yrs	236
Physical album shipment volume in the United States	r=0.84	24yrs	231
Emmy Awards Ceremony viewership	r=0.76	36yrs	231
NASA's budget as a percentage of the total US Federal Budget	r=0.64	48yrs	231
Cigarette Smoking Rate for US adults	r=0.83	21yrs	226
Viewership count for Days of Our Lives	r=0.62	47yrs	226
The number of telemarketers in Iowa	r=0.86	20yrs	226
Ice cream consumption	r=0.83	32yrs	225
Milk consumption	r=0.81	32yrs	224
US Employment Rate	r=0.72	33yrs	222
The distance between Neptune and the Sun	r=0.74	48yrs	222
The distance between Neptune and Earth	r=0.73	48yrs	220
The distance between Neptune and the moon	r=0.73	48yrs	220
Brick cheese consumption	r=0.82	27yrs	218
Air pollution in Washington, D.C.	r=0.85	43yrs	218
The number of college sociology teachers in Maryland	r=0.87	20yrs	216
Petroluem consumption in Denmark	r=0.82	43yrs	216
Burglary rates in the US	r=0.78	38yrs	214
The number of switchboard operators in Missouri	r=0.87	20yrs	206
Kerosene used in Peru	r=0.81	42yrs	203
The number of bill collectors in New York	r=0.86	20yrs	196
Motor vehicle thefts	r=0.72	38yrs	194
Gasoline pumped in Austria	r=0.79	43yrs	191
The distance between Neptune and Mercury	r=0.72	48yrs	188
The number of carpet installers in Ohio	r=0.86	20yrs	186
Gasoline pumped in France	r=0.79	43yrs	181
The number of floral designers in Pennsylvania	r=0.87	20yrs	176
Arson in Maryland	r=0.83	38yrs	171
Gasoline pumped in Norway	r=0.78	43yrs	170
The number of file clerks in Connecticut	r=0.86	20yrs	165
Burglaries in Hawaii	r=0.83	38yrs	161
Kerosene used in Norway	r=0.78	43yrs	160
The number of university fitness studies teachers in Florida	r=0.86	20yrs	155
The divorce rate in Arkansas	r=0.85	23yrs	153
Burglaries in Idaho	r=0.83	38yrs	151
Nuclear power generation in Germany	r=0.83	31yrs	148
The number of switchboard operators in Illinois	r=0.86	20yrs	145
The divorce rate in Colorado	r=0.85	23yrs	143
Arson in Michigan	r=0.82	38yrs	140
Kerosene used in Brazil	r=0.78	42yrs	138
The number of heat treating equipment setters, operators, and tenders, metal and plastic in Michigan	r=0.86	20yrs	135
The divorce rate in Florida	r=0.85	23yrs	133
Burglaries in Arizona	r=0.82	38yrs	130
Petroluem consumption in Italy	r=0.74	48yrs	128
The number of home appliance repairers in Pennsylvania	r=0.86	20yrs	125
The divorce rate in South Carolina	r=0.85	23yrs	123
Burglaries in South Carolina	r=0.82	38yrs	120
Jet fuel used in American Samoa	r=0.77	42yrs	117
The marriage rate in Alabama	r=0.85	23yrs	112
Burglaries in Tennessee	r=0.82	38yrs	110
Kerosene used in El Salvador	r=0.76	42yrs	106
The divorce rate in New Hampshire	r=0.84	23yrs	102
Burglaries in Utah	r=0.82	38yrs	100
Petroluem consumption in Germany	r=0.83	32yrs	96
The divorce rate in Washington	r=0.84	23yrs	92
Motor vehicle thefts in Michigan	r=0.82	38yrs	90
Kerosene used in Thailand	r=0.76	42yrs	86
The divorce rate in Wisconsin	r=0.84	23yrs	82
Burglaries in Maine	r=0.81	38yrs	78
Fossil fuel use in North Macedonia	r=0.81	30yrs	74
The marriage rate in Nevada	r=0.84	23yrs	70
Burglaries in Maryland	r=0.81	38yrs	68
Kerosene used in China	r=0.75	42yrs	64
The marriage rate in South Dakota	r=0.84	23yrs	60
Burglaries in Pennsylvania	r=0.81	38yrs	58
Kerosene used in Greece	r=0.75	42yrs	54
The marriage rate in West Virginia	r=0.84	23yrs	50
Burglaries in Wyoming	r=0.81	38yrs	48
Gasoline pumped in Slovenia	r=0.82	31yrs	44
The divorce rate in Idaho	r=0.83	23yrs	40
Arson in Missouri	r=0.8	38yrs	36

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: