Top variables that correlate with Popularity of the first name Jamel

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

Variable	Correlation	Years	Sys. Score
Burglary rates in the US	r=0.98	38yrs	438
Arson in United States	r=0.96	38yrs	436
Gasoline pumped in Austria	r=0.96	43yrs	432
Gasoline pumped in Latvia	r=0.96	31yrs	420
Burglaries in Florida	r=0.98	38yrs	418
The divorce rate in Kentucky	r=0.96	23yrs	414
Milk consumption	r=0.95	32yrs	410
Cottage cheese consumption	r=0.96	32yrs	410
Google searches for 'desktop background'	r=0.96	16yrs	408
United States music album sales	r=0.95	16yrs	404
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Kerosene used in Egypt	r=0.94	42yrs	398
GMO use in cotton	r=0.95	23yrs	394
The number of telemarketers in Massachusetts	r=0.98	20yrs	394
The number of computer programmers in New York	r=0.98	20yrs	394
The number of telemarketers in North Dakota	r=0.98	20yrs	394
US household spending on mortgage interest and charges	r=0.96	23yrs	393
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.96	22yrs	389
Burglaries in Virginia	r=0.98	38yrs	388
US birth rates of triplets or more	r=0.95	20yrs	386
The divorce rate in Arkansas	r=0.94	23yrs	382
The divorce rate in Idaho	r=0.94	23yrs	382
Cigarette Smoking Rate for US adults	r=0.95	21yrs	380
GMO use in cotton in Texas	r=0.97	23yrs	378
Arson in Georgia	r=0.97	38yrs	377
U.S. intercountry adoptions	r=0.91	23yrs	376
GMO use in corn grown in Texas	r=0.96	18yrs	374
Google searches for 'shook'	r=0.92	19yrs	374
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
Pirate attacks globally	r=0.92	14yrs	372
The wind speed in Austin	r=0.9	39yrs	372
The wind speed in San Diego	r=0.9	39yrs	372
Kerosene used in Pakistan	r=0.94	42yrs	368
Burglaries in Illinois	r=0.97	38yrs	367
Asthma attacks in American children	r=0.88	23yrs	366
The number of switchboard operators in Arizona	r=0.98	20yrs	363
Asthma prevalence in American children	r=0.88	17yrs	360
Air pollution in New York City	r=0.9	43yrs	360
Air pollution in Oxnard, California	r=0.92	43yrs	360
Air pollution in Santa Maria, California	r=0.92	43yrs	360
US household spending on postage and stationery	r=0.93	23yrs	358
Burglaries in Massachusetts	r=0.97	38yrs	357
Gasoline pumped in France	r=0.91	43yrs	354
The number of switchboard operators in Iowa	r=0.98	20yrs	353
US production of fluid beverage milk	r=0.95	22yrs	350
The divorce rate in Mississippi	r=0.93	23yrs	350
Burglaries in Missouri	r=0.97	38yrs	347
The number of data entry keyers in Minnesota	r=0.98	20yrs	343
Kerosene used in Thailand	r=0.91	42yrs	343
The divorce rate in Colorado	r=0.92	23yrs	338
Burglaries in Connecticut	r=0.97	38yrs	337
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	336
The number of computer programmers in Ohio	r=0.97	20yrs	333
Kerosene used in Macau	r=0.9	42yrs	332
The divorce rate in North Carolina	r=0.92	23yrs	328
GMO use in cotton	r=0.91	23yrs	328
Air pollution in Steamboat Springs, Colorado	r=0.94	38yrs	328
Robberies in Connecticut	r=0.97	38yrs	327
The number of file clerks in Washington	r=0.98	20yrs	323
The divorce rate in Virginia	r=0.92	23yrs	318
Robberies in Connecticut	r=0.97	38yrs	317
The number of switchboard operators in Arkansas	r=0.97	20yrs	312
The divorce rate in Washington	r=0.92	23yrs	308
Burglaries in Kansas	r=0.96	38yrs	306
The number of file clerks in Mississippi	r=0.97	20yrs	302
Geothermal power generated in Austria	r=0.92	17yrs	302
The divorce rate in Wyoming	r=0.92	23yrs	298
Burglaries in Maryland	r=0.96	38yrs	296
The number of computer programmers in North Carolina	r=0.96	20yrs	292
Gasoline pumped in Kosovo	r=0.95	14yrs	291
The divorce rate in Maine	r=0.91	23yrs	287
Burglaries in Minnesota	r=0.96	38yrs	286
The number of computer programmers in Oklahoma	r=0.96	20yrs	282
Liquefied petroleum gas used in Kosovo	r=0.93	14yrs	278
Burglaries in Arizona	r=0.96	38yrs	276
The marriage rate in Alabama	r=0.91	23yrs	276
The number of file clerks in South Dakota	r=0.97	20yrs	272
Burglaries in New Jersey	r=0.96	38yrs	266
The marriage rate in Idaho	r=0.91	23yrs	266
The number of telemarketers in West Virginia	r=0.96	20yrs	262
Kerosene used in Argentina	r=0.9	42yrs	262
Burglaries in New Mexico	r=0.96	38yrs	256
The divorce rate in Florida	r=0.9	23yrs	256
The number of human resources assistants in Wisconsin	r=0.97	20yrs	252
Kerosene used in Cuba	r=0.88	42yrs	248
Burglaries in Texas	r=0.96	38yrs	246
The divorce rate in Wisconsin	r=0.9	23yrs	246
The number of switchboard operators in Alabama	r=0.96	20yrs	240
Gasoline pumped in United Kingdom	r=0.87	43yrs	238
Burglaries in Vermont	r=0.96	38yrs	236
The marriage rate in Alaska	r=0.9	23yrs	234
The number of prepress technicians and workers in Arkansas	r=0.96	20yrs	230
Kerosene used in Brazil	r=0.87	42yrs	227
Burglaries in Wisconsin	r=0.96	38yrs	226
The number of human resources assistants in District of Columbia	r=0.96	20yrs	220
The divorce rate in Oklahoma	r=0.9	18yrs	220
Kerosene used in North Korea	r=0.87	42yrs	217
The number of computer programmers in Florida	r=0.95	20yrs	210
Gasoline pumped in Cuba	r=0.86	42yrs	206
The number of postal service machine operators in Idaho	r=0.96	20yrs	200
Petroluem consumption in North Korea	r=0.86	42yrs	196

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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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