Top variables that correlate with Popularity of the first name Maira

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.97	38yrs	457
Robberies in the US	r=0.95	38yrs	434
Robberies in Illinois	r=0.97	38yrs	417
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
Carjackings in the US	r=0.94	27yrs	392
Robberies in California	r=0.97	38yrs	387
Jet fuel used in Ukraine	r=0.93	30yrs	384
Petroluem consumption in Ukraine	r=0.91	30yrs	381
Petroluem consumption in Azerbaijan	r=0.9	30yrs	380
Frozen yogurt consumption	r=0.94	32yrs	376
The wind speed in San Diego	r=0.93	39yrs	376
Motor vehicle thefts in New York	r=0.96	38yrs	376
Robberies in New York	r=0.96	38yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Robberies in Texas	r=0.95	38yrs	354
The wind speed in Austin	r=0.9	39yrs	342
The marriage rate in Nevada	r=0.88	23yrs	341
The divorce rate in Alabama	r=0.87	23yrs	341
The marriage rate in Arizona	r=0.87	23yrs	340
Ticket sales for Arizona Diamondbacks games	r=0.86	22yrs	338
Petroluem consumption in North Korea	r=0.9	42yrs	332
Motor vehicle thefts	r=0.92	38yrs	330
Air pollution in Santa Maria, California	r=0.86	42yrs	320
Kerosene used in North Korea	r=0.88	42yrs	318
US household spending on processed fruits	r=0.86	23yrs	318
Air pollution in Steamboat Springs, Colorado	r=0.87	38yrs	318
The number of compensation and benefits managers in Virginia	r=0.86	19yrs	314
The marriage rate in Tennessee	r=0.86	23yrs	308
Gasoline pumped in Austria	r=0.86	43yrs	306
The marriage rate in Ohio	r=0.85	23yrs	296
Kerosene used in Egypt	r=0.85	42yrs	294
Burglaries in District of Columbia	r=0.95	38yrs	294
The marriage rate in South Carolina	r=0.85	23yrs	286
Robberies in Missouri	r=0.95	38yrs	284
Gasoline pumped in North Korea	r=0.85	42yrs	284
Motor vehicle thefts in New Jersey	r=0.93	38yrs	271
Petroluem consumption in Belarus	r=0.88	30yrs	266
Motor vehicle thefts in Pennsylvania	r=0.93	38yrs	261
Petroluem consumption in Uzbekistan	r=0.88	30yrs	256
Customer satisfaction with Frontier Communications	r=0.84	28yrs	256
Motor vehicle thefts in Illinois	r=0.93	38yrs	251
Customer satisfaction with Walmart	r=0.81	27yrs	251
NASA's budget appropriation	r=0.75	48yrs	248
Orange's stock price (ORAN)	r=0.81	21yrs	244
Robberies in New Jersey	r=0.93	38yrs	241
Divorce rates in the United Kingdom	r=0.79	38yrs	239
Robberies in Washington	r=0.93	38yrs	231
Physical album shipment volume in the United States	r=0.84	24yrs	231
NASA's budget as a percentage of the total US Federal Budget	r=0.64	48yrs	231
Cottage cheese consumption	r=0.84	32yrs	226
Milk consumption	r=0.82	32yrs	225
The wind speed in Anchorage	r=0.81	39yrs	223
Ticket sales for Colorado Rockies games	r=0.75	27yrs	222
Arson in Connecticut	r=0.92	38yrs	220
Air pollution in Santa Maria, California	r=0.85	43yrs	214
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	210
US household spending on books	r=0.84	23yrs	210
The number of bill collectors in New Mexico	r=0.83	20yrs	207
The number of CEOs in Rhode Island	r=0.83	20yrs	207
GMO use in cotton	r=0.79	23yrs	206
US household spending on clothing	r=0.81	23yrs	206
US household spending on clothin for women	r=0.81	23yrs	206
Motor vehicle thefts in Texas	r=0.92	38yrs	200
US milk fat used to produce fluid beverage milk	r=0.8	22yrs	193
The wind speed in Milwaukee	r=0.8	39yrs	192
Motor vehicle thefts in Texas	r=0.92	38yrs	190
The wind speed in Boston	r=0.79	39yrs	180
The number of city bus drivers in South Carolina	r=0.83	20yrs	177
Air quality in Carlsbad, New Mexico	r=0.84	37yrs	177
Evaporated and condensed milk consumption	r=0.77	32yrs	176
The wind speed in Nashville	r=0.79	39yrs	170
The number of fish and game wardens in California	r=0.85	18yrs	166
Air quality in San Antonio, Texas	r=0.79	43yrs	166
The divorce rate in North Carolina	r=0.84	23yrs	162
Processed cheese consumption	r=0.77	27yrs	161
The wind speed in Washington, D.C.	r=0.8	38yrs	160
The number of aircraft mechanics in Nebraska	r=0.83	20yrs	156
The marriage rate in Arkansas	r=0.84	23yrs	150
Kerosene used in Pakistan	r=0.85	42yrs	149
Consumption of dry whole milk products	r=0.7	32yrs	146
The number of surveying and mapping technicians in West Virginia	r=0.83	20yrs	146
The marriage rate in Idaho	r=0.84	23yrs	140
Gasoline pumped in United Kingdom	r=0.84	43yrs	138
The divorce rate in Oregon	r=0.83	23yrs	130
Gasoline pumped in France	r=0.83	43yrs	127
The divorce rate in Tennessee	r=0.83	23yrs	120
Kerosene used in Argentina	r=0.83	42yrs	116
The marriage rate in Kentucky	r=0.83	23yrs	108
Gasoline pumped in Belgium	r=0.81	43yrs	104
The marriage rate in Alabama	r=0.82	23yrs	97
Gasoline pumped in Guinea-Bissau	r=0.82	42yrs	94
The marriage rate in Virginia	r=0.82	23yrs	87
Kerosene used in Thailand	r=0.82	42yrs	84
The divorce rate in Iowa	r=0.81	23yrs	77
Kerosene used in Saint Kitts and Nevis	r=0.81	42yrs	73
The divorce rate in Kentucky	r=0.81	23yrs	67
Fossil fuel use in Sierra Leone	r=0.78	42yrs	62
The divorce rate in Wyoming	r=0.81	23yrs	57
Jet fuel used in Libya	r=0.8	42yrs	52
The marriage rate in South Dakota	r=0.81	23yrs	46
The marriage rate in Wyoming	r=0.81	23yrs	36

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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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