Top variables that correlate with Popularity of the first name Jamila

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

Variable	Correlation	Years	Has img?
Popularity of the 'loss' meme	r=0.9	16yrs	No
Popularity of the 'its wednesday my dudes' meme	r=0.88	17yrs	No
Popularity of the 'press f to pay respects' meme	r=0.87	17yrs	No
Air quality in Phoenix	r=0.8	43yrs	Yes!
Popularity of the 'weird flex but ok' meme	r=0.78	17yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Argentina	r=0.86	42yrs	356
The number of merchandise displayers and window trimmers in Wyoming	r=0.95	15yrs	354
The number of pipelayers in West Virginia	r=0.91	20yrs	352
Motor vehicle thefts in New York	r=0.87	38yrs	342
Robberies in New York	r=0.85	38yrs	339
Total comments on Simone Giertz's YouTube videos	r=0.91	9yrs	338
Biomass power generated in Cambodia	r=0.86	19yrs	336
Wind power generated in South Africa	r=0.86	19yrs	336
Total comments on The Game Theorists YouTube videos	r=0.88	14yrs	328
Air quality in Davenport, Iowa	r=0.86	43yrs	321
The number of cashiers in California	r=0.89	20yrs	320
Robberies in California	r=0.85	38yrs	309
The number of surgical technologists in Minnesota	r=0.88	20yrs	288
The number of financial examiners in North Dakota	r=0.89	19yrs	278
Violent crime rates	r=0.83	38yrs	271
The number of environmental engineers in Oklahoma	r=0.88	20yrs	268
The number of radiation therapists in Texas	r=0.88	20yrs	258
Average number of milk cows in the United States	r=0.67	43yrs	248
The number of mechanical engineers in Wisconsin	r=0.88	20yrs	248
3M Company's stock price (MMM)	r=0.82	21yrs	245
The number of postal service mail carriers in Guam	r=0.9	16yrs	237
NASA's budget as a percentage of the total US Federal Budget	r=0.68	48yrs	237
Viewership count for Days of Our Lives	r=0.68	47yrs	234
Highest Nielsen rating for a TV show each year	r=0.71	46yrs	234
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
The wind speed in San Diego	r=0.84	39yrs	228
The number of bartenders in Alabama	r=0.86	20yrs	226
Frozen yogurt consumption	r=0.83	32yrs	225
The wind speed in Charlotte	r=0.81	39yrs	223
The distance between Neptune and Mercury	r=0.74	48yrs	222
The wind speed in Boston	r=0.8	39yrs	222
Wins for the Kansas City Royals	r=0.6	48yrs	220
Gasoline pumped in Belgium	r=0.83	43yrs	217
The distance between Neptune and the Sun	r=0.71	48yrs	217
The distance between Neptune and Earth	r=0.71	48yrs	217
The number of postal service mail carriers in Idaho	r=0.87	20yrs	216
Consumption of dry whole milk products	r=0.77	32yrs	216
Boeing's stock price (BA)	r=0.8	21yrs	214
Google searches for 'flights to Antarctica'	r=0.78	19yrs	213
Cigna's stock price (CI)	r=0.79	21yrs	210
Air pollution in Anchorage	r=0.8	43yrs	210
The number of restaurant cooks in Mississippi	r=0.87	20yrs	206
Fossil fuel use in Sierra Leone	r=0.81	42yrs	206
Robberies in the US	r=0.77	38yrs	202
The number of medical appliance technicians in Ohio	r=0.87	20yrs	196
Kerosene used in Cuba	r=0.83	42yrs	196
Motor vehicle thefts	r=0.76	38yrs	190
The wind speed in Austin	r=0.79	39yrs	190
The distance between Neptune and the moon	r=0.71	48yrs	187
The number of maintenance and repair workers in Wisconsin	r=0.87	20yrs	186
Petroluem consumption in North Korea	r=0.83	42yrs	186
Evaporated and condensed milk consumption	r=0.74	32yrs	182
Constellation Brands' stock price (STZ)	r=0.77	21yrs	178
The wind speed in Milwaukee	r=0.77	39yrs	177
Kerosene used in North Korea	r=0.83	42yrs	176
The number of budget analysts in Mississippi	r=0.86	20yrs	175
Arson in United States	r=0.71	38yrs	173
Ryanair Holdings' stock price (RYAAY)	r=0.77	21yrs	168
Kerosene used in Venezuela	r=0.83	42yrs	166
The wind speed in Nashville	r=0.76	39yrs	166
The number of production, planning, and expediting clerks in Oklahoma	r=0.86	20yrs	165
Motor vehicle thefts in Oklahoma	r=0.81	38yrs	158
The wind speed in Washington, D.C.	r=0.77	38yrs	156
Prudential's stock price (PUK)	r=0.76	21yrs	156
The number of surgical technologists in Pennsylvania	r=0.86	20yrs	155
Gasoline pumped in Cuba	r=0.82	42yrs	154
Motor vehicle thefts in Texas	r=0.81	38yrs	148
The number of industrial machinery mechanics in South Carolina	r=0.86	20yrs	145
Verizon Communications' stock price (VZ)	r=0.75	21yrs	144
Kerosene used in Belize	r=0.81	42yrs	143
The wind speed in Anchorage	r=0.74	39yrs	142
Motor vehicle thefts in Texas	r=0.81	38yrs	138
The number of interior designers in Tennessee	r=0.86	20yrs	135
Royal Caribbean Cruises' stock price (RCL)	r=0.75	21yrs	134
Kerosene used in Thailand	r=0.81	42yrs	133
The wind speed in Atlanta	r=0.72	39yrs	130
Motor vehicle thefts in Texas	r=0.81	38yrs	128
The number of civil engineers in Wisconsin	r=0.86	20yrs	125
Markel's stock price (MKL)	r=0.76	21yrs	124
Gasoline pumped in Nauru	r=0.8	42yrs	122
Robberies in Illinois	r=0.81	38yrs	118
The wind speed in Minneapolis	r=0.7	39yrs	116
Gasoline pumped in France	r=0.79	43yrs	111
Arson in New York	r=0.8	38yrs	106
Kerosene used in Uruguay	r=0.79	42yrs	100
Burglaries in District of Columbia	r=0.8	38yrs	96
Kerosene used in Egypt	r=0.78	42yrs	88
Motor vehicle thefts in New Jersey	r=0.8	38yrs	86
Kerosene used in Pakistan	r=0.78	42yrs	78
Robberies in Texas	r=0.8	38yrs	76
Petroluem consumption in Azerbaijan	r=0.85	30yrs	67
Burglaries in New York	r=0.79	38yrs	65
Jet fuel used in Nauru	r=0.77	42yrs	57
Motor vehicle thefts in Massachusetts	r=0.79	38yrs	55
Gasoline pumped in North Korea	r=0.77	42yrs	47
Robberies in Missouri	r=0.79	38yrs	45
Burglary rates in the US	r=0.65	38yrs	34

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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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