Top variables that correlate with Popularity of the first name Bertha

← Discover a correlation

A linear line chart

Data source: US Social Security Administration
Report an error

Popularity of the first name Bertha correlates with...

Variable	Correlation	Years	Has img?
Air quality in Fort Collins, Colorado	r=0.81	43yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Remaining Forest Cover in the Brazilian Amazon	r=0.98	36yrs	435
Robberies in the US	r=0.95	38yrs	434
Gasoline pumped in France	r=0.96	43yrs	432
Kerosene used in Argentina	r=0.96	42yrs	430
Kerosene used in Thailand	r=0.96	42yrs	430
Carjackings in the US	r=0.96	27yrs	424
The distance between Neptune and Earth	r=0.97	48yrs	421
The distance between Neptune and the Sun	r=0.96	48yrs	420
The distance between Neptune and Mercury	r=0.96	48yrs	420
The divorce rate in Alabama	r=0.96	23yrs	414
The marriage rate in Nevada	r=0.95	23yrs	412
The wind speed in Austin	r=0.96	39yrs	410
Viewership count for Days of Our Lives	r=0.93	47yrs	407
Violent crime rates	r=0.95	38yrs	394
Number of edits to the Wikipedia article for Thanksgiving	r=0.91	16yrs	393
Citigroup's stock price (C)	r=0.9	21yrs	392
The distance between Neptune and the moon	r=0.96	48yrs	390
The number of hairdressers, hairstylists, and cosmetologists in Puerto Rico	r=0.96	20yrs	390
Popularity of the 'all your base' meme	r=0.95	17yrs	383
Physical album shipment volume in the United States	r=0.95	24yrs	382
The marriage rate in Tennessee	r=0.95	23yrs	382
Motor vehicle thefts in Illinois	r=0.98	38yrs	378
The wind speed in San Diego	r=0.94	39yrs	378
Google searches for 'learn spanish'	r=0.93	19yrs	376
Google searches for 'black holes'	r=0.93	19yrs	376
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
Milk consumption	r=0.9	32yrs	372
Frozen yogurt consumption	r=0.91	32yrs	372
NASA's budget as a percentage of the total US Federal Budget	r=0.88	48yrs	372
Arson in New Jersey	r=0.97	38yrs	367
Gasoline pumped in Austria	r=0.92	43yrs	366
Air pollution in Los Angeles	r=0.92	43yrs	363
AIG's stock price (AIG)	r=0.9	21yrs	362
Air pollution in Oxnard, California	r=0.93	43yrs	362
Air pollution in Riverside, California	r=0.93	43yrs	362
Lloyds Banking Group's stock price (LYG)	r=0.88	21yrs	359
The number of surveying and mapping technicians in Minnesota	r=0.95	20yrs	358
US household spending on books	r=0.92	23yrs	357
Arson in California	r=0.97	38yrs	357
The number of telemarketers in New Jersey	r=0.93	20yrs	357
Kerosene used in Uruguay	r=0.93	42yrs	356
The marriage rate in Arizona	r=0.94	23yrs	350
Arson in Texas	r=0.97	38yrs	347
Kerosene used in Cuba	r=0.92	42yrs	344
The marriage rate in Idaho	r=0.94	23yrs	340
Cottage cheese consumption	r=0.9	32yrs	340
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	337
Kerosene used in Egypt	r=0.92	42yrs	334
Air pollution in San Diego, California	r=0.93	43yrs	332
The marriage rate in Wyoming	r=0.94	23yrs	330
Motor vehicle thefts in New Jersey	r=0.97	38yrs	327
The number of brickmasons in South Carolina	r=0.94	20yrs	327
Gasoline pumped in Cuba	r=0.91	42yrs	323
The marriage rate in Arkansas	r=0.93	23yrs	318
Air pollution in Oxnard, California	r=0.92	41yrs	318
The number of hydrologists in Wisconsin	r=0.94	20yrs	317
Arson in Connecticut	r=0.96	38yrs	316
Gasoline pumped in Germany	r=0.94	32yrs	308
The divorce rate in North Carolina	r=0.92	23yrs	308
Air pollution in Philadelphia, Pennsylvania	r=0.91	43yrs	308
The number of sewing machine operators in Alabama	r=0.93	20yrs	306
Burglaries in New Jersey	r=0.96	38yrs	306
The divorce rate in Tennessee	r=0.92	23yrs	298
Air pollution in San Diego, California	r=0.9	43yrs	297
The number of postal service machine operators in Arizona	r=0.93	20yrs	296
Burglaries in Connecticut	r=0.96	38yrs	296
Petroluem consumption in Uzbekistan	r=0.92	30yrs	292
The marriage rate in Ohio	r=0.92	23yrs	287
The number of file clerks in Arkansas	r=0.93	20yrs	286
Burglaries in District of Columbia	r=0.96	38yrs	286
Gasoline pumped in Lithuania	r=0.9	31yrs	280
The number of tool and die makers in Arkansas	r=0.93	20yrs	276
Motor vehicle thefts in Pennsylvania	r=0.96	38yrs	276
The marriage rate in Alabama	r=0.91	23yrs	276
The number of postal service machine operators in California	r=0.93	20yrs	266
Robberies in New York	r=0.96	38yrs	266
The marriage rate in South Carolina	r=0.91	23yrs	266
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	266
The number of payroll and timekeeping clerks in Georgia	r=0.93	20yrs	256
The marriage rate in South Dakota	r=0.91	23yrs	256
Burglaries in New York	r=0.95	38yrs	254
The number of brickmasons in Indiana	r=0.93	20yrs	246
The marriage rate in Virginia	r=0.91	23yrs	246
Robberies in Washington	r=0.95	38yrs	244
Gasoline pumped in Belgium	r=0.9	43yrs	242
The number of postal service machine operators in Iowa	r=0.93	20yrs	236
Fossil fuel use in Sierra Leone	r=0.87	42yrs	230
The number of data entry keyers in Iowa	r=0.93	20yrs	226
Motor vehicle thefts	r=0.95	38yrs	224
Kerosene used in Pakistan	r=0.89	42yrs	220
The number of postal service machine operators in Louisiana	r=0.93	20yrs	216
Burglary rates in the US	r=0.93	38yrs	211
Kerosene used in Peru	r=0.89	42yrs	210
The number of postal service machine operators in Missouri	r=0.93	20yrs	206
Kerosene used in Venezuela	r=0.89	42yrs	200
The number of tapers in Missouri	r=0.93	20yrs	196
Kerosene used in Brazil	r=0.88	42yrs	188
The number of conveyor operators in New Jersey	r=0.93	20yrs	186
Petroluem consumption in Romania	r=0.88	42yrs	178
Petroluem consumption in Nauru	r=0.87	42yrs	167

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: