Top variables that correlate with The number of housekeepers in Arizona

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Data source: Bureau of Larbor Statistics
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The number of housekeepers in Arizona correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Imani	r=0.89	20yrs	338
Fossil fuel use in North Macedonia	r=0.87	19yrs	337
Kerosene used in Iran	r=0.87	19yrs	334
Jet fuel used in Belarus	r=0.85	19yrs	331
Per capita consumption of margarine	r=0.86	7yrs	254
Popularity of the first name Essence	r=0.83	20yrs	224
Fossil fuel use in Hungary	r=0.84	19yrs	198
US birth rates of triplets or more	r=0.8	19yrs	198
Milk consumption	r=0.79	19yrs	198
Popularity of the first name Noemi	r=0.82	20yrs	192
US household spending on vehicle insurance	r=0.81	20yrs	192
Viewership count of American Idol Season Finale	r=0.77	20yrs	191
Cigarette Smoking Rate for US adults	r=0.79	19yrs	188
GMO use in cotton	r=0.76	20yrs	188
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.8	19yrs	187
Fossil fuel use in Greece	r=0.83	19yrs	186
US household spending on prescription drugs	r=0.77	20yrs	186
Annual US household spending on vehicle insurance	r=0.76	20yrs	185
US average milk-fat content of frozen dairy products	r=0.78	19yrs	184
Gasoline pumped in Croatia	r=0.84	19yrs	174
Air pollution in Show Low, Arizona	r=0.75	20yrs	166
GMO use in cotton	r=0.74	20yrs	165
Gilead Sciences' stock price (GILD)	r=-0.84	20yrs	165
Air pollution in Payson, Arizona	r=0.74	20yrs	165
Viewership count for Days of Our Lives	r=0.73	19yrs	164
Biogen's stock price (BIIB)	r=-0.83	20yrs	164
Arson in United States	r=0.7	20yrs	164
Burglaries in Arizona	r=0.7	20yrs	164
U.S. intercountry adoptions	r=0.75	19yrs	162
GMO use in cotton	r=0.72	20yrs	162
Asthma attacks in American children	r=0.73	17yrs	162
Asthma attacks in American children	r=0.73	17yrs	162
Air pollution in Flagstaff, Arizona	r=0.72	20yrs	162
Popularity of the first name Trace	r=0.8	20yrs	160
The distance between Neptune and Earth	r=0.72	20yrs	160
US household spending on processed fruits	r=0.73	20yrs	160
The distance between Neptune and the Sun	r=0.71	20yrs	159
The distance between Neptune and Mercury	r=0.71	20yrs	159
Number of World of Warcraft Subscribers	r=0.71	18yrs	158
US household spending on clothin for women	r=0.71	20yrs	158
The average number of likes on 3Blue1Brown YouTube videos	r=0.85	8yrs	158
US household spending on fresh milk and cream	r=0.69	20yrs	154
Popularity of the first name Keon	r=0.79	20yrs	148
Customer satisfaction with FOXNews.com	r=0.78	12yrs	146
Burglary rates in the US	r=0.67	20yrs	144
Average number of comments on 3Blue1Brown YouTube videos	r=0.76	8yrs	144
How geeky Deep Look YouTube video titles are	r=0.75	9yrs	144
Brick cheese consumption	r=0.77	19yrs	143
Google searches for 'report UFO sighting'	r=0.67	19yrs	143
xkcd comics published about romance	r=0.7	16yrs	143
Asthma attacks in American children	r=0.69	17yrs	141
Remaining Forest Cover in the Brazilian Amazon	r=0.65	20yrs	140
NASA's budget as a percentage of the total US Federal Budget	r=0.65	20yrs	140
Visitors to SeaWorld California	r=0.69	15yrs	139
Popularity of the first name Tyron	r=0.79	20yrs	138
Fossil fuel use in Croatia	r=0.82	19yrs	134
The distance between Neptune and the moon	r=0.71	20yrs	129
Cottage cheese consumption	r=0.73	19yrs	127
Popularity of the first name Deondre	r=0.78	20yrs	126
Fossil fuel use in Denmark	r=0.82	19yrs	124
US production of fluid beverage milk	r=0.77	19yrs	116
Popularity of the first name Mike	r=0.77	20yrs	115
Fossil fuel use in Austria	r=0.81	19yrs	113
How nerdy Numberphile YouTube video titles are	r=0.72	12yrs	112
Robberies in the US	r=0.64	20yrs	110
Popularity of the first name Hollie	r=0.77	20yrs	105
Sherbet consumption	r=0.71	19yrs	104
Electricity generation in United Kingdom	r=0.8	19yrs	102
Average views of 3Blue1Brown YouTube videos	r=0.74	8yrs	101
Robberies in Arizona	r=0.64	20yrs	100
Popularity of the first name Darrien	r=0.77	20yrs	95
Ice cream consumption	r=0.7	19yrs	92
Gasoline pumped in Slovenia	r=0.81	20yrs	91
How geeky Tom Scott's YouTube video titles are	r=0.69	14yrs	90
Popularity of the first name Trevon	r=0.76	20yrs	84
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.76	19yrs	82
Fossil fuel use in Luxembourg	r=0.79	19yrs	80
Popularity of the first name Halle	r=0.76	20yrs	74
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.77	19yrs	72
Fossil fuel use in Slovakia	r=0.79	19yrs	70
Popularity of the first name Kianna	r=0.76	20yrs	64
US average milk-fat content of cottage cheese	r=0.77	19yrs	62
Kerosene used in Benin	r=0.81	19yrs	60
Popularity of the first name Melisa	r=0.76	20yrs	54
US average dairy skim-solid content of yogurt, nonfrozen	r=-0.84	19yrs	51
Liquefied petroleum gas used in Syria	r=0.81	19yrs	50
Jet fuel used in Ukraine	r=0.81	19yrs	40
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.75	19yrs	40
Fossil fuel use in Czechia	r=0.78	19yrs	28
US production of cottage cheese	r=0.71	19yrs	26
Popularity of the first name Felisha	r=0.79	17yrs	25
Fossil fuel use in Netherlands Antilles	r=0.78	19yrs	18
US dairy skim solids used to produce cottage cheese	r=0.71	19yrs	15
Popularity of the first name Jaron	r=0.76	20yrs	14
Hydopower energy generated in Samoa	r=0.78	19yrs	8
Popularity of the first name Kristofer	r=0.76	20yrs	4
Hydopower energy generated in Thailand	r=0.78	19yrs	-2
Popularity of the first name Symone	r=0.76	20yrs	-6
Swiss cheese consumption	r=0.67	19yrs	-7
Popularity of the first name Lakeisha	r=0.76	20yrs	-16
Popularity of the first name Keyanna	r=0.76	20yrs	-26

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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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