Top variables that correlate with Popularity of the first name Donnell

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Data source: US Social Security Administration
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Popularity of the first name Donnell correlates with...

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Burglary rates in the US	r=0.97	38yrs	437
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
The distance between Neptune and the Sun	r=0.97	48yrs	421
The distance between Neptune and Earth	r=0.97	48yrs	421
The distance between Neptune and the moon	r=0.97	48yrs	421
Burglaries in Florida	r=0.97	38yrs	417
Viewership count for Days of Our Lives	r=0.9	47yrs	402
Kerosene used in Thailand	r=0.93	42yrs	396
Gasoline pumped in France	r=0.91	43yrs	394
Kerosene used in Argentina	r=0.91	42yrs	393
The number of bill collectors in Washington	r=0.96	20yrs	392
The distance between Neptune and Mercury	r=0.95	48yrs	388
The number of data entry keyers in New Mexico	r=0.95	20yrs	388
The number of file clerks in New York	r=0.95	20yrs	388
Burglaries in Virginia	r=0.97	38yrs	387
Milk consumption	r=0.95	32yrs	380
The divorce rate in Mississippi	r=0.91	23yrs	377
Burglaries in Illinois	r=0.96	38yrs	376
Cottage cheese consumption	r=0.94	32yrs	376
The marriage rate in Alaska	r=0.91	23yrs	376
The marriage rate in Kansas	r=0.9	23yrs	374
The wind speed in Austin	r=0.92	39yrs	374
United States music album sales	r=0.93	16yrs	372
Burglaries in Maryland	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Kerosene used in Cuba	r=0.91	42yrs	363
Air pollution in San Diego, California	r=0.94	43yrs	363
Air pollution in Los Angeles	r=0.91	43yrs	362
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.89	21yrs	360
HSBC Holdings' stock price (HSBC)	r=0.88	21yrs	359
Burglaries in Minnesota	r=0.96	38yrs	356
US household spending on postage and stationery	r=0.9	23yrs	354
US household spending on clothin for women	r=0.9	23yrs	354
Kerosene used in Uruguay	r=0.91	42yrs	353
The number of career/technical education teachers, secondary school in Michigan	r=0.96	13yrs	353
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.91	22yrs	352
Burglaries in Arizona	r=0.96	38yrs	346
Gasoline pumped in Austria	r=0.9	43yrs	342
The number of executive administrative assistants in North Dakota	r=0.95	13yrs	342
Burglaries in New Jersey	r=0.96	38yrs	336
Gasoline pumped in Cuba	r=0.9	42yrs	332
Air pollution in New York City	r=0.91	43yrs	332
Burglaries in Connecticut	r=0.96	38yrs	326
Air pollution in Oxnard, California	r=0.93	43yrs	322
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	22yrs	320
Gasoline pumped in Latvia	r=0.95	31yrs	318
The divorce rate in Arkansas	r=0.9	23yrs	316
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	316
Air pollution in New York City	r=0.9	43yrs	310
The number of recreational therapists in Connecticut	r=0.94	20yrs	307
The divorce rate in Florida	r=0.9	23yrs	306
Robberies in Connecticut	r=0.96	38yrs	306
Air pollution in Oxnard, California	r=0.93	41yrs	300
The number of postmasters in Massachusetts	r=0.94	20yrs	297
The divorce rate in Kentucky	r=0.9	23yrs	296
Robberies in Connecticut	r=0.96	38yrs	296
Air pollution in Philadelphia, Pennsylvania	r=0.91	43yrs	288
The number of bill collectors in Massachusetts	r=0.93	20yrs	287
The divorce rate in Michigan	r=0.9	23yrs	286
Arson in New Jersey	r=0.95	38yrs	284
Fossil fuel use in Sierra Leone	r=0.88	42yrs	282
Air pollution in Riverside, California	r=0.91	43yrs	278
The number of bill collectors in Virginia	r=0.93	20yrs	277
The marriage rate in South Dakota	r=0.9	23yrs	274
Arson in Georgia	r=0.95	38yrs	274
Kerosene used in Brazil	r=0.9	42yrs	272
Air pollution in San Diego, California	r=0.91	43yrs	268
The number of procurement clerks in Alabama	r=0.93	20yrs	266
The marriage rate in Wyoming	r=0.9	23yrs	264
Burglaries in Kansas	r=0.95	38yrs	264
Kerosene used in Turkiye	r=0.89	43yrs	261
The number of conveyor operators in Arkansas	r=0.93	20yrs	256
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	255
The divorce rate in Colorado	r=0.89	23yrs	254
Burglaries in Louisiana	r=0.95	38yrs	254
Gasoline pumped in Bulgaria	r=0.89	42yrs	250
The number of bill collectors in Connecticut	r=0.92	20yrs	246
The divorce rate in Illinois	r=0.89	23yrs	244
Burglaries in Massachusetts	r=0.95	38yrs	244
Kerosene used in Egypt	r=0.89	42yrs	240
The number of payroll and timekeeping clerks in District of Columbia	r=0.93	20yrs	236
The divorce rate in North Carolina	r=0.89	23yrs	234
Burglaries in Missouri	r=0.95	38yrs	234
Kerosene used in Venezuela	r=0.89	42yrs	230
The number of telemarketers in Florida	r=0.92	20yrs	226
The divorce rate in Texas	r=0.89	23yrs	224
Motor vehicle thefts in Maine	r=0.95	38yrs	224
Kerosene used in Mexico	r=0.89	40yrs	218
The number of bill collectors in Illinois	r=0.92	20yrs	216
The divorce rate in Virginia	r=0.89	23yrs	214
Petroluem consumption in Romania	r=0.88	42yrs	208
The number of payroll and timekeeping clerks in Massachusetts	r=0.93	20yrs	206
Kerosene used in United States	r=0.87	43yrs	198
The number of CEOs in Michigan	r=0.92	20yrs	196
Kerosene used globally	r=0.87	42yrs	187
The number of bill collectors in Michigan	r=0.92	20yrs	186
Jet fuel used in American Samoa	r=0.87	42yrs	177
The number of receptionists in Minnesota	r=0.92	20yrs	176
Kerosene used in Pakistan	r=0.87	42yrs	167
The number of mechanical drafters in Ohio	r=0.93	20yrs	166

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^{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.)


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