Top variables that correlate with The number of foresters in Nebraska

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Data source: Bureau of Larbor Statistics
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The number of foresters in Nebraska correlates with...

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Montenegro	r=0.88	13yrs	300
Bachelor's degrees awarded in consumer sciences	r=0.88	7yrs	263
Global iPod Sales	r=0.85	9yrs	259
Popularity of the first name Riley	r=0.83	16yrs	190
Jet fuel used in Bermuda	r=0.82	16yrs	168
Gasoline pumped in Bulgaria	r=0.82	16yrs	168
Air quality in Lincoln, Nebraska	r=0.75	16yrs	162
Number of games won by Miami Marlins in the National League (East Division)	r=0.76	16yrs	161
Global Per Capita Rice Consumption	r=0.74	16yrs	158
US average dairy skim-solid content of whey products (net)	r=0.76	16yrs	158
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.75	16yrs	156
xkcd comics published about childhood	r=0.81	12yrs	156
How professional-sounding MinuteEarth YouTube video titles are	r=0.83	6yrs	152
How clickbait-y LEMMiNO YouTube video titles are	r=0.78	7yrs	146
How trendy CGP Grey YouTube video titles are	r=0.76	8yrs	144
Popularity of the first name Moriah	r=0.74	16yrs	142
Popularity of the first name Sam	r=0.73	16yrs	140
Nokia Oyj's stock price (NOK)	r=0.71	16yrs	138
Fossil fuel use in Ireland	r=0.79	16yrs	137
Asthma prevalence in American children	r=0.67	16yrs	137
Google searches for 'mortgage rates'	r=0.69	15yrs	136
Popularity of the 'thats what she said' meme	r=0.66	13yrs	136
Popularity of the 'rickroll' meme	r=0.65	13yrs	134
The number of movies Robert Downey Jr. appeared in	r=0.63	16yrs	134
xkcd comics published about romance	r=0.66	12yrs	133
xkcd comics published about pop culture	r=0.65	12yrs	132
UK Annual Consumer Price Index (CPI) for Spirits	r=0.66	16yrs	131
Canadian Carbon Dioxide Emissions	r=-0.84	16yrs	131
Sherbet consumption	r=0.61	16yrs	131
Orange's stock price (ORAN)	r=0.66	16yrs	131
Robberies in the US	r=0.61	16yrs	131
Robberies in Nebraska	r=0.61	16yrs	131
Google searches for 'housing prices'	r=0.68	11yrs	130
Google searches for 'Nintendo'	r=0.67	11yrs	129
UK Public Library Count	r=0.69	12yrs	128
US household spending on mortgage interest and charges	r=0.64	16yrs	128
The number of movies Dustin Hoffman appeared in	r=0.59	16yrs	128
US household spending on natural gas	r=0.63	16yrs	126
Gasoline pumped in Bosnia and Herzegovina	r=0.8	16yrs	126
NASA's budget appropriation	r=0.58	16yrs	125
Asthma prevalence in American children	r=0.59	16yrs	125
Violent crime rates	r=0.57	16yrs	125
The number of movies Penelope Cruz appeared in	r=0.57	16yrs	125
Asthma attacks in American children	r=0.58	16yrs	124
Asthma attacks in American children	r=0.58	16yrs	124
Master's degrees awarded in Agriculture and natural resources	r=0.72	7yrs	124
Asthma attacks in American children	r=0.57	16yrs	122
Number of Grand Slam Finals played by Roger Federer	r=0.6	13yrs	120
Total likes of CGP Grey YouTube videos	r=0.76	8yrs	114
Jet fuel used in Kyrgyzstan	r=0.78	16yrs	112
Popularity of the first name Lidia	r=0.73	16yrs	110
Liquefied petroleum gas used in Croatia	r=0.77	16yrs	101
Popularity of the first name Lashawn	r=0.73	16yrs	100
Total length of SmarterEveryDay YouTube videos	r=-0.91	12yrs	100
Google searches for 'desktop background'	r=0.65	12yrs	97
Milk consumption	r=0.57	16yrs	96
The number of movies Viggo Mortensen appeared in	r=0.55	16yrs	92
Petroluem consumption in American Samoa	r=0.76	16yrs	90
Total views on Matt Parker's YouTube videos	r=0.73	8yrs	90
Popularity of the first name Heidi	r=0.72	16yrs	88
Google searches for 't-rex'	r=0.63	15yrs	87
Gasoline pumped in American Samoa	r=0.75	16yrs	78
Popularity of the first name Madalyn	r=0.72	16yrs	78
Google searches for 'climate change'	r=0.65	11yrs	76
Total likes of Matt Parker's YouTube videos	r=0.71	8yrs	76
Jet fuel used in American Samoa	r=0.75	16yrs	68
Popularity of the first name Markus	r=0.72	16yrs	68
Total comments on Matt Parker's YouTube videos	r=0.71	8yrs	66
Google searches for 'Bratz Dolls'	r=0.64	11yrs	64
Liquefied petroleum gas used in Georgia	r=0.75	16yrs	58
Popularity of the first name Cordell	r=0.72	16yrs	58
How provocative MinuteEarth YouTube video titles are	r=0.77	6yrs	54
Google searches for 'Britney Spears'	r=0.63	11yrs	53
Kerosene used in Tonga	r=0.75	16yrs	48
Popularity of the first name Heath	r=0.72	16yrs	48
Popularity of the first name Jaelyn	r=0.72	16yrs	38
How clickbait-y SmarterEveryDay YouTube video titles are	r=0.61	12yrs	36
Gasoline pumped in Kosovo	r=0.83	11yrs	30
Popularity of the first name Sasha	r=0.71	16yrs	27
How nerdy CGP Grey YouTube video titles are	r=0.7	8yrs	25
Popularity of the first name Caleigh	r=0.71	16yrs	17
How geeky CGP Grey YouTube video titles are	r=0.7	8yrs	15
Kerosene used in Ireland	r=0.74	16yrs	12
Popularity of the first name Valeria	r=0.7	16yrs	6
Total views on Computerphile YouTube videos	r=0.71	6yrs	4
Jet fuel used in Fiji	r=0.73	16yrs	0
Popularity of the first name Janice	r=0.7	16yrs	-4
Total comments on Computerphile YouTube videos	r=0.71	6yrs	-6
Gasoline pumped in Iceland	r=0.73	16yrs	-10
Popularity of the first name Chaz	r=0.7	16yrs	-14
How 'hip and with it' MinuteEarth YouTube video titles are	r=0.7	6yrs	-17
Gasoline pumped in Slovakia	r=0.73	16yrs	-20
Popularity of the first name Jaycie	r=0.7	16yrs	-24
How 'hip and with it' CGP Grey YouTube video titles are	r=0.69	8yrs	-27
Hydopower energy generated in Puerto Rico	r=0.7	16yrs	-32
Popularity of the first name Cristopher	r=0.7	16yrs	-34
How good MinuteEarth YouTube video titles are	r=0.69	6yrs	-39
Gasoline pumped in Armenia	r=0.72	16yrs	-42
Popularity of the first name Rashad	r=0.69	16yrs	-46
Electricity generation in Netherlands Antilles	r=0.69	16yrs	-53
Popularity of the first name Angie	r=0.69	16yrs	-56

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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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