Top variables that correlate with Popularity of the first name Albert

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Albert correlates with...

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Burglary rates in the US	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.98	36yrs	435
Kerosene used in Argentina	r=0.96	42yrs	430
Gasoline pumped in France	r=0.95	43yrs	430
Kerosene used in Thailand	r=0.96	42yrs	430
The distance between Neptune and the Sun	r=0.98	48yrs	422
The distance between Neptune and Earth	r=0.98	48yrs	422
The distance between Neptune and the moon	r=0.98	48yrs	422
Burglaries in Connecticut	r=0.99	38yrs	420
The marriage rate in Virginia	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.96	23yrs	414
The marriage rate in Arkansas	r=0.96	23yrs	413
The wind speed in Austin	r=0.96	39yrs	410
Viewership count for Days of Our Lives	r=0.94	47yrs	408
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
Air pollution in Oxnard, California	r=0.97	41yrs	396
The number of telemarketers in Kansas	r=0.97	20yrs	393
The number of sewing machine operators in New York	r=0.98	20yrs	393
US household spending on clothing	r=0.96	23yrs	393
US household spending on clothing for men	r=0.96	23yrs	393
The number of sewing machine operators in California	r=0.97	20yrs	392
The distance between Neptune and Mercury	r=0.97	48yrs	391
Motor vehicle thefts in Massachusetts	r=0.99	38yrs	390
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
US birth rates of triplets or more	r=0.94	20yrs	384
The marriage rate in Nevada	r=0.96	23yrs	383
Physical album shipment volume in the United States	r=0.94	24yrs	381
Burglaries in Florida	r=0.98	38yrs	378
The wind speed in San Diego	r=0.93	39yrs	376
Milk consumption	r=0.91	32yrs	374
Cottage cheese consumption	r=0.92	32yrs	374
The marriage rate in Ohio	r=0.96	23yrs	373
Kerosene used in Cuba	r=0.95	42yrs	369
Burglaries in New York	r=0.98	38yrs	368
Air pollution in Oxnard, California	r=0.96	43yrs	366
The marriage rate in South Carolina	r=0.96	23yrs	363
The number of telemarketers in Illinois	r=0.96	20yrs	362
Gasoline pumped in Cuba	r=0.94	42yrs	358
Burglaries in New Jersey	r=0.97	38yrs	357
The marriage rate in South Dakota	r=0.96	23yrs	353
The number of cooks, short order in Michigan	r=0.97	20yrs	352
Kerosene used in Egypt	r=0.94	42yrs	348
Burglaries in New Mexico	r=0.97	38yrs	347
Frozen yogurt consumption	r=0.92	32yrs	344
The marriage rate in Tennessee	r=0.96	23yrs	343
The number of switchboard operators in Georgia	r=0.96	20yrs	340
Kerosene used in Uruguay	r=0.94	42yrs	338
Burglaries in Rhode Island	r=0.97	38yrs	337
The marriage rate in Idaho	r=0.95	23yrs	332
The number of dishwashers in Iowa	r=0.96	20yrs	330
Kerosene used in Venezuela	r=0.94	42yrs	328
Burglaries in Virginia	r=0.97	38yrs	327
The number of bill collectors in Massachusetts	r=0.95	20yrs	320
Burglaries in California	r=0.97	38yrs	317
Kerosene used in Brazil	r=0.93	42yrs	316
The number of heat treating equipment setters, operators, and tenders, metal and plastic in Massachusetts	r=0.96	20yrs	310
Motor vehicle thefts in New Jersey	r=0.97	38yrs	307
Gasoline pumped in Bulgaria	r=0.93	42yrs	306
The number of file clerks in Missouri	r=0.96	20yrs	300
Arson in New Jersey	r=0.96	38yrs	296
Gasoline pumped in Austria	r=0.91	43yrs	294
The divorce rate in Oregon	r=0.95	23yrs	293
Carjackings in the US	r=0.94	27yrs	292
The number of data entry keyers in New York	r=0.96	20yrs	290
Arson in California	r=0.96	38yrs	286
Kerosene used in Pakistan	r=0.92	42yrs	284
The divorce rate in Alabama	r=0.94	23yrs	282
The number of travel agents in Pennsylvania	r=0.96	20yrs	280
Burglaries in Illinois	r=0.96	38yrs	276
Petroluem consumption in Romania	r=0.92	42yrs	274
The divorce rate in Ohio	r=0.94	23yrs	272
The number of salespeople in Connecticut	r=0.95	20yrs	268
Burglaries in Minnesota	r=0.96	38yrs	266
Kerosene used in Turkiye	r=0.91	43yrs	264
The marriage rate in Arizona	r=0.94	23yrs	260
The number of prepress technicians and workers in Michigan	r=0.95	20yrs	258
Burglaries in Arizona	r=0.96	38yrs	256
Kerosene used in Peru	r=0.91	42yrs	253
The marriage rate in Kentucky	r=0.94	23yrs	250
The number of switchboard operators in Nevada	r=0.95	20yrs	248
Motor vehicle thefts in Maine	r=0.96	38yrs	246
Gasoline pumped in Somalia	r=0.91	42yrs	243
The marriage rate in Wisconsin	r=0.94	23yrs	240
The number of travel agents in New Jersey	r=0.95	20yrs	238
Motor vehicle thefts in Rhode Island	r=0.96	38yrs	236
Kerosene used in Mexico	r=0.91	40yrs	231
The marriage rate in Wyoming	r=0.94	23yrs	230
The number of switchboard operators in South Carolina	r=0.95	20yrs	228
Robberies in Michigan	r=0.96	38yrs	226
The divorce rate in New Hampshire	r=0.93	23yrs	220
The number of secretaries in Mississippi	r=0.97	13yrs	216
Gasoline pumped in Germany	r=0.92	32yrs	214
The divorce rate in North Carolina	r=0.93	23yrs	210
The number of secretaries in Rhode Island	r=0.96	13yrs	204
Petroluem consumption in Germany	r=0.91	32yrs	203
The marriage rate in Missouri	r=0.93	23yrs	198
The number of first-line retail sales supervisors in Arizona	r=0.96	13yrs	193
Petroluem consumption in Uzbekistan	r=0.92	30yrs	192
The marriage rate in Nebraska	r=0.93	23yrs	188

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: