Top variables that correlate with Popularity of the first name Glen

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Glen correlates with...

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.96	36yrs	432
Gasoline pumped in Bulgaria	r=0.96	42yrs	430
Kerosene used in Turkiye	r=0.95	43yrs	430
Kerosene used in Venezuela	r=0.96	42yrs	430
Carjackings in the US	r=0.96	27yrs	424
Burglaries in New York	r=0.99	38yrs	420
The distance between Neptune and Mercury	r=0.95	48yrs	418
Burglaries in Connecticut	r=0.98	38yrs	418
The marriage rate in South Carolina	r=0.98	23yrs	416
The marriage rate in Tennessee	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.96	23yrs	414
Viewership count for Days of Our Lives	r=0.92	47yrs	406
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
Kerosene used in Mexico	r=0.95	40yrs	397
US household spending on books	r=0.96	23yrs	393
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	388
The distance between Neptune and Earth	r=0.95	48yrs	388
The distance between Neptune and the moon	r=0.95	48yrs	388
The number of meter readers, utilities in Wisconsin	r=0.95	20yrs	388
Average number of milk cows in the United States	r=0.9	43yrs	387
Votes for the Republican Presidential candidate in Washington, D.C.	r=0.95	12yrs	384
The marriage rate in Nevada	r=0.96	23yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
Per capita consumption of margarine	r=0.98	10yrs	380
The wind speed in Austin	r=0.94	39yrs	378
Burglaries in California	r=0.97	38yrs	377
Frozen yogurt consumption	r=0.93	32yrs	375
The wind speed in Nashville	r=0.92	39yrs	374
The wind speed in San Diego	r=0.92	39yrs	374
The marriage rate in Ohio	r=0.96	23yrs	373
Cottage cheese consumption	r=0.9	32yrs	370
Robberies in Oregon	r=0.97	38yrs	367
Air pollution in Oxnard, California	r=0.97	41yrs	366
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
US household spending on clothing for men	r=0.95	23yrs	362
The marriage rate in Arkansas	r=0.95	23yrs	362
Highest Nielsen rating for a TV show each year	r=0.85	46yrs	360
The number of computer programmers in Colorado	r=0.95	20yrs	360
US household spending on clothing	r=0.94	23yrs	360
US household spending on processed fruits	r=0.93	23yrs	358
Kerosene used in Argentina	r=0.94	42yrs	358
The number of pipelayers in Indiana	r=0.94	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Arson in New York	r=0.96	38yrs	356
Air pollution in San Diego, California	r=0.96	43yrs	356
The distance between Neptune and the Sun	r=0.94	48yrs	356
Gasoline pumped in Cuba	r=0.94	42yrs	348
Burglaries in Florida	r=0.96	38yrs	346
Kerosene used in Cuba	r=0.94	42yrs	338
Burglaries in Rhode Island	r=0.96	38yrs	336
Kerosene used in Thailand	r=0.94	42yrs	328
The number of computer programmers in New Jersey	r=0.93	20yrs	327
Burglaries in Colorado	r=0.96	38yrs	326
The marriage rate in South Dakota	r=0.94	23yrs	320
Kerosene used in Uruguay	r=0.94	42yrs	318
The number of maintenance workers, machinery in New Jersey	r=0.94	20yrs	317
Motor vehicle thefts in New Jersey	r=0.96	38yrs	316
Air pollution in New York City	r=0.92	43yrs	313
The marriage rate in Virginia	r=0.94	23yrs	310
The number of file clerks in Ohio	r=0.94	20yrs	307
Gasoline pumped in France	r=0.93	43yrs	307
Burglaries in Oregon	r=0.95	38yrs	304
Air pollution in Oxnard, California	r=0.94	43yrs	303
The divorce rate in Alabama	r=0.93	23yrs	300
The number of typists in Wisconsin	r=0.94	20yrs	297
Kerosene used in Brazil	r=0.93	42yrs	296
Burglaries in Texas	r=0.95	38yrs	294
Air pollution in Riverside, California	r=0.94	43yrs	293
The divorce rate in North Carolina	r=0.93	23yrs	290
The number of survey researchers in California	r=0.93	20yrs	286
Petroluem consumption in Romania	r=0.93	42yrs	286
Robberies in New York	r=0.95	38yrs	284
The divorce rate in Ohio	r=0.93	23yrs	280
The number of prepress technicians and workers in Colorado	r=0.93	20yrs	276
Gasoline pumped in Somalia	r=0.93	42yrs	276
The marriage rate in Kentucky	r=0.93	23yrs	268
The number of typists in Florida	r=0.93	20yrs	266
Burglary rates in the US	r=0.95	38yrs	264
Petroluem consumption in Bulgaria	r=0.92	42yrs	264
The marriage rate in Wyoming	r=0.93	23yrs	258
Kerosene used in Ecuador	r=0.92	42yrs	254
Arson in United States	r=0.94	38yrs	252
The marriage rate in Alabama	r=0.92	23yrs	247
Kerosene used in Egypt	r=0.91	42yrs	243
The marriage rate in Arizona	r=0.92	23yrs	237
Kerosene used in Hong Kong	r=0.91	42yrs	233
The marriage rate in Idaho	r=0.92	23yrs	227
Burglaries in New Jersey	r=0.95	38yrs	224
The marriage rate in Kansas	r=0.92	23yrs	217
Burglaries in New Mexico	r=0.95	38yrs	214
Petroluem consumption in Uzbekistan	r=0.92	30yrs	212
The marriage rate in Missouri	r=0.92	23yrs	207
Burglaries in Virginia	r=0.95	38yrs	204
The marriage rate in Texas	r=0.92	23yrs	197
Motor vehicle thefts in Maine	r=0.95	38yrs	194
The marriage rate in West Virginia	r=0.92	23yrs	187
Fossil fuel use in Sierra Leone	r=0.87	42yrs	180
Kerosene used in Australia	r=0.88	43yrs	170

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: