female:pressure FACTS 2017

FACTS 2017 by the female:pressure Trouble Makers Version: 1.1 / Date: August 31, 2017 / Authors: The Trouble Makers female:pressure Table of Contents: FACTS 2017

1. Introduction 3

2. Methods 4

Aims and Objectives Data Collection Data Analysis

3. Results 5

Gender Proportions of Festival Acts Gender Proportions Over Time Gender Proportions for Different Regions Gender Proportions by Country Gender Proportions by Festival Size

4. Discussion 10

Summary of the Results Comparison With Other Studies Strengths and Limitations of the Survey Questions that Remain Unanswered Suggestions for Festival Organisers, Artistic Directors, Artists

5. Acknowledgements 14

6. Appendices 15

Gender Proportions for all Regions Gender Proportions for all Countries Gender Proportions for all Festivals

2 female:pressure 1. INTRODUCTION FACTS 2017 The female:pressure FACTS survey is a biennial project undertaken by volunteer members of the female:pressure network.

Starting in 2013 [https://femalepressure.wordpress.com/facts-graphic/], the FACTS survey was initiated to address and quantify the deficit in equal opportunity and visibility for female artists in the scene. The result of the 2013 FACTS survey indicated that barely 10% of artists listed in festival line-ups worldwide are female--and opened up an international discussion about the state of women in electronic music.

In 2015 [https://femalepressure.wordpress.com/facts-survey2015/], we conducted the sur- vey anew. Although the inequities within the industry had become a popular topic of debate since the 2013 edition, the 2015 FACTS survey demonstrated the continued lack of women on line-ups.

While this phenomenon is receiving more media coverage today than ever before, we believe that measuring trends through the FACTS survey is necessary to understand the true state of inequity in the electronic music scene and to hold decision-makers accountable within the industry.

We embarked on FACTS 2017 with the goal of assessing the female-male-mixed [i.e., acts comprised of both male and female artists] gender proportions among artists performing at music festivals in the years 2015, 2016 and the first half of 2017 with a focus on the year 2016. Even though we included many new festivals for this year’s edition, our emphasis re- mains on the regions of Europe and North America. In gathering data from these years, we aim to assess both time trends from 2012 to 2017 and country specific female-male-mixed gender proportions. With 229 festival editions, it is the most comprehensive FACTS survey yet.

For this year’s FACTS survey, our team asked each one of the included festivals to participate by submitting their own numbers. Twelve of the 133 festivals responded and filled out our data collection form.

In surveying more festivals in more countries than ever before, we may see the extent to which inequity is a systemic issue. Structural sexism perpetuates inequality by creating barriers and disincentives for women, which limits women’s success in the arts to genres and media aligned with the status quo.*

Although progress is certainly being made with respect to the visibility of women in the industry since the 2013 FACTS survey, we are reminded that mere coverage or visibility can not sub- stitute for systematic change. Cultural change is indeed happening, as we see overt sexism and prejudices “called out”, but structural change is necessary to truly addressing underrepre- sentation.** As musicologist Elizabeth Keenan argues, solutions must simultaneously address gaps in education and access for female artists.

Our FACTS survey, like the female:pressure network, is the result of grassroots activism--con- ducted independently from any for-profit organization and without external funding. The 2017 edition of the survey was undertaken by six core volunteers, nicknamed the “Trouble Makers”, with the aid of seventeen helpers.

*https://femalepressure.wordpress.com/2017/08/22/womens-representation-in-music/ **https://www.residentadvisor.net/news.aspx?id=39316 3 female:pressure 2. METHODS FACTS 2017 Aims and Objectives

The aim of the present survey was to assess the gender distribution among artists performing at electronic music festivals around the world.

Specifically, we wanted to - assess the female-male-mixed gender proportions among artists performing at electronic music festivals taking place in the year 2015 up to mid-year of 2017 with focus on the year 2016 - assess time trends in these female-male-mixed gender proportions from 2012 to 2017 - assess differences in these female-male-mixed gender proportions for regions and countries.

Data Collection

Data was collected for all countries worldwide with no restrictions. However, the focus was on festivals taking place in Europe and North America. We used a standardised online form to collect single sets of data for each festival edition.

The survey’s focus is on electronic music. Festivals were included if they feature a mainly elec- tronic music program. However, once a festival was included into the survey, all acts were count- ed [regardless of their musical genre]. Potential festivals were searched for online.

The search was performed on [but was not limited to] the following sites: https://www.festicket.com/magazine/top-techno-festivals-europe/ https://www.festicket.com/magazine/top-20-music-festivals-Europe/ https://www.festicket.com/magazine/top-10-electronic-music-festivals-uk/ http://icasnetwork.org http://ecasnetwork.org https://www.residentadvisor.net/festivals.aspx http://shapeplatform.eu/festival/ https://www.theguardian.com/travel/2017/apr/03/10-best-music-festivals-europe---croatia https://www.residentadvisor.net/features/2939

For each festival, the following data were collected: - Name of festival - Country - City - Date - Number of female acts in the line-up - Number of male acts in the line-up - Number of mixed [female/male] acts in the line-up - Number of unidentified acts in the line-up

The number of acts were counted per slot of stage time. For example: Dasha Rush & Donato Dozzy back-to-back DJ-set: categorized as 1 mixed act. Electric indigo [audio] & Thomas Wagensommerer [video] a/v set: categorized as 1 mixed act. Lucrecia Dalt & Gudrun Gut live: categorized as 1 female act.

‘Acts’ include musical and visual artists [if listed in the line-up], with the exception of CTM [Ger- many] which also includes panel and discourse acts.

4 female:pressure FACTS 2017

For the purpose of this survey, gender data is distinguished and collected only as male or female. Transgender artists are assigned according to their chosen gender. If the gender of a trans person is difficult to decide, the person should be listed according to the pronoun s/he uses for themselves. In addition, articles about the artist might be checked to judge, if this person is generally referred to as she or he. Cis male artists with female aliases/monikers were regarded as male artists. In cases which could not be resolved, artists were assigned ‘un- identified’.

Data was provided by Trouble Makers members, by female:pressure members, or by festival or- ganisers. Festival organisers were emailed a standardized letter explaining the background and the purpose of the survey along with an invitation to enter their festival data into a short online form. To minimize data entry errors, we were able to verify about one third of all festival editions by double data entry.

Data Analysis

Data was analysed descriptively. Female, male, mixed, and unidentified gender proportions are presented numerically and graphically: overall, by year, country, and by region. In addition, trends in time for specific festivals [with data for several time points] are presented. Mean [i.e. average] percentages are calculated by adding the number of acts for the specific gender divided by the total number of acts [times 100] for each festival. Due to rounding, numbers presented throughout this document may not add up precisely to 100%. Festivals were also categorized and analysed by size [defined by the total number of acts]. To see if gender proportions depend on the size of the festival we used the number of total acts to categorize festivals into 3 groups: small [up to 25 acts], medium [26-50 acts], or large [more than 50 acts], as well as into 5 more refined groups: very small [less than 20 acts], small [20-29 acts], medium [30-45 acts], large [46-90 acts], or very large [more than 90 acts].

3. RESULTS In the new survey, we collected data for 229 festival editions [of 133 different festivals] from 2015 to mid-year 2017. The focus was on festivals in 2016 with 116 festival editions and on 2017 with 48 festival editions [s. Table 1]. In total, the present and all previous surveys comprised, we col- lected data for 322 festival editions [182 festivals] from 2012 to June 30, 2017.

Table 1. Number of festivals [n,%] by year

N %

2012 31 9.6 2013 18 5.6 2014 44 13.7 2015 65 20.2 2016 116 36.0 2017 [mid year] 48 14.9

Number of Female Male Mixed Unidentified Festivals

5 2012 31 9.2% 81.5% 9.0% 0.3% 2013 18 10.9% 84.3% 4.5% 0.3% 2014 44 10.7% 81.8% 6.6% 0.9% 2015 65 13.5% 78.1% 7.4% 1.0% 2016 116 14.3% 78.0% 7.0% 0.7% 2017 [mid year] 48 18.9% 75.4% 5.4% 0.3% Total 322 13.5% 78.9% 6.9% 0.7%

Country 2012 to mid-year 2017 2015 to mid-year 2017

Number of Number of Female Male Mixed Unidentified Female Male Mixed Unidentified Festivals Festivals Austria 19 18.4% 74.5% 6.8% 0.3% 14 19.2% 73.8% 6.7% 0.3% 13 6.6% 86.0% 7.4% 0.0% 10 13.0% 77.9% 9.1% 0.0% Canada 11 17.2% 76.8% 4.7% 1.3% 7 22.1% 72.4% 3.9% 1.6% France 22 11.1% 83.0% 5.9% 0.0% 16 10.4% 84.1% 5.5% 0.0% 40 14.8% 74.2% 10.0% 1.0% 25 16.3% 72.6% 9.8% 1.3% Japan 11 6.4% 88.1% 5.4% 0.0% 8 6.9% 88.2% 4.9% 0.0% Mexico 16 9.1% 88.2% 2.4% 0.3% 16 9.1% 88.2% 2.4% 0.3% 16 11.7% 83.6% 4.6% 0.1% 14 13.9% 81.2% 4.8% 0.1% Spain 40 11.9% 79.0% 8.4% 0.7% 23 14.0% 76.3% 9.0% 0.7% UK 19 11.2% 79.0% 7.0% 2.8% 12 11.0% 76.4% 9.7% 2.9% USA 40 14.1% 81.0% 4.6% 0.4% 36 14.8% 80.1% 4.7% 0.4% Total 247 13.2% 79.2% 6.9% 0.7% 181 14.4% 78.0% 6.8% 0.8%

Number of Female Male Mixed Unidentified Festival Size Festivals Small [up to 25 acts] 107 14.9% 77.2% 7.8% 0.1% Medium [26-50 acts] 101 14.0% 80.2% 5.4% 0.4% Large [more than 50 acts] 114 13.2% 78.8% 7.2% 0.8% Total 322 13.5% 78.9% 6.9% 0.7%

Number of Female Male Mixed Unidentified Festival Size Festivals Very Small [less than 20 acts] 77 16.9% 76.1% 6.8% 0.2% Small [20-29 acts] 52 14.7% 77.3% 7.8% 0.2% Medium [30-45 acts] 101 14.0% 80.2% 5.4% 0.4% Large [46-90 acts] 62 14.9% 78.2% 6.1% 0.8% Very Large [more than 50 acts] 65 12.4% 79.3% 7.5% 0.8% Total 322 13.5% 78.9% 6.9% 0.7% ****************** This is gure 2 in the results document **********************

Mean female/male/mixed proportions over time 2012 to mid-year 2017 ****************** This is gure 3 in the results document **********************

50.0

100.0 90.0 40.0 80.0 70.0 30.0 60.0 50.0 20.0

40.0 Mean Female Acts (%) 30.0 10.0

Mean Gender Proportions (%) 20.0 10.0 0.0 0.0 2012 2013 2014 2015 2016 mid-year 2017 2012 2013 2014 2015 2016 mid-year 2017 Year Year

Female Male Mixed

female:pressure FACTS 2017 In total, festivals from 34 countries were included with 233 festival editions [72.4%] from Europe and 67 [20.8%] from North America. 98 festivals were included only once in the data collection, while for 46 festivals data was collected for two time points. 23, 12 and 3 festivals provided data for 3, 4, or 5 time points, respectively.

The mean [i.e. average] festival size was 58.9 acts with a minimum of 4 and a maximum of 726 act per **********festival. In T total,his is 18956gure 1 acts(left paarert )included in the Re sinu lthets do presentcumen tsurvey. ************** For the* current data 2015 to mid-year 2017, festivals had a mean of 57.6 acts [minimum 4, maximum 726] and a total of 13197 acts included. 3 Gender Proportions of Festival Acts

Overall, for festivals in 2012 to mid-year 2017, 14% of all acts were female acts, 79% were male, 7% were mixed acts, and 1% were unidentified [i.e. acts where the gender could not be assured], s. Figure 1. For the newly collected data comprising festivals from 2015 to mid-year of 2017, there were 15% female acts and 78% ‚ 7% , and 1% male, mixed and unidentified acts, respectively.

Female Female 14% 15%

Unidentified Unidentified Male 1% 1% Male 79% Mixed Mixed 78% 7% 7%

********** This is gure 4 (left part) in the Results document *************** ********** This is gure 4 (right part) in the Results document ***************

SUM of Mean_percent by Gender #3 SUM of Mean_percent by Gender FP colours Region=North America Figure 1. Gender proportions of festival acts [left: 2012 to mid-year 2017, right: 2015 to mid-year 2017] Region=Europe

5 Gender Proportions Over Time

Over time [2012 to mid-year 2017], there was a slight increase in the number of female Female artists [Figure 2] and a slight decrease in the number of male artists [Figure 3 and Table 2]. Female 14% 14%

North Unidentified Europe Unidentified America 1% Male 1% Mixed 78% Male 4% Mixed 82% 8%

Female proportions by festival size (total number of acts) [2012 to mid-year 2017] Figure 2. Female artists [in %] over time Figure 3. Female, male and mixed artists [in %] over time ****************** This is gure 8 in the results document **********************

75.4%

MALE FEMALE ********** This is gure 7 in the Results document *************** 6 100.0 MIXED ********** This is gure 6 in the Results document *************** UNIDENTIFIED SUM of Mean_percent by Gender 90.0 SUM of Mean_percent by Gender 18.9% 80.0 5.4% 70.0

Very Large [more than 90 acts] 60.0 Large [more than 50 acts] Large [46-90 acts] Medium [26-50 acts] Medium [30-45 acts] 50.0 Small [up to 25 acts] Small [20-29 acts] Very Small [less than 20 acts] 40.0 30.0 Female Acts [%] 20.0 10.0 0.0 0 100 200 300 400 500 600 700 800 Festival Size [number of acts]

Gender Female Male Mixed Unidentified Gender Female Male Mixed Unidentified

N %

2012 31 9.6 2013 18 5.6 2014 44 13.7 2015 65 20.2 female:pressure 2016 116 36.0 FACTS 2017 2017 [mid year] 48 14.9 Table 2. Female, male, mixed and unidentified acts in % over time

Number of Female Male Mixed Unidentified Festivals

2012 31 9.2% 81.5% 9.0% 0.3% 2013 18 10.9% 84.3% 4.5% 0.3% 2014 44 10.7% 81.8% 6.6% 0.9% 2015 65 13.5% 78.1% 7.4% 1.0% 2016 116 14.3% 78.0% 7.0% 0.7% 2017 [mid year] 48 18.9% 75.4% 5.4% 0.3% Total 322 13.5% 78.9% 6.9% 0.7%

For festivals with data for 4 or more years, we assessed changes over time per festival. Figure 4 shows the percentage of female acts separately for each festival. There seems to be an over- all trend Countrytowards an increase2012 in to female mid-year acts 2017 for several festivals.2015 to mid-year Results 2017 for further festivals are Number of Number of shown in Appendix 3. Female Male Mixed Unidentified Female Male Mixed Unidentified Festivals Festivals Austria 19 18.4% 74.5% 6.8% 0.3% 14 19.2% 73.8% 6.7% 0.3% Belgium 13 6.6% 86.0% 7.4% 0.0% 10 13.0% 77.9% 9.1% 0.0% Canada 11 17.2% 76.8% 4.7% 1.3% 7 22.1% 72.4% 3.9% 1.6% France 22 11.1% 83.0% 5.9% 0.0% 16 10.4% 84.1% 5.5% 0.0% Germany 40 14.8% 74.2% 10.0% 1.0% 25 16.3% 72.6% 9.8% 1.3% Japan 11 6.4% 88.1% 5.4% 0.0% 8 6.9% 88.2% 4.9% 0.0% Mexico 16 9.1% 88.2% 2.4% 0.3% 16 9.1% 88.2% 2.4% 0.3% Netherlands 16 11.7% 83.6% 4.6% 0.1% 14 13.9% 81.2% 4.8% 0.1% Spain 40 11.9% 79.0% 8.4% 0.7% 23 14.0% 76.3% 9.0% 0.7% UK 19 11.2% 79.0% 7.0% 2.8% 12 11.0% 76.4% 9.7% 2.9% USA 40 14.1% 81.0% 4.6% 0.4% 36 14.8% 80.1% 4.7% 0.4% Total 247 13.2% 79.2% 6.9% 0.7% 181 14.4% 78.0% 6.8% 0.8%

Number of Festival Size Female Male Mixed Unidentified Festivals Small [up to 25 acts] 107 14.9% 77.2% 7.8% 0.1% Medium [26-50 acts] 101 14.0% 80.2% 5.4% 0.4% Large [more than 50 acts] 114 13.2% 78.8% 7.2% 0.8% Total 322 13.5% 78.9% 6.9% 0.7% Figure 4. Female festival acts [in %] for festivals with data for 4 or more years

Number of Female Male Mixed Unidentified Festival Size Festivals Very Small [less than 20 acts] 77 16.9% 76.1% 6.8% 0.2% Small [20-29 acts] 52 14.7% 77.3% 7.8% 0.2% Medium [30-45 acts] 101 14.0% 80.2% 5.4% 0.4% Large [46-90 acts] 62 14.9% 78.2% 6.1% 0.8% Very Large [more than 50 acts] 65 12.4% 79.3% 7.5% 0.8% 6 7 Total 322 13.5% 78.9% 6.9% 0.7% female:pressure FACTS 2017 Gender Proportions for Different Regions

Comparing European and North American festival data, the same rates of female acts were seen [14%, s. Figure 5]. Results for further regions are shown in Appendix 1.

Female Female 14% 14% N % North Unidentified Europe Unidentified 1% 20121% 31 9.6 America Mixed 2013Mixed 18 5.6 4% 20148% 44 13.7 2015 65 20.2 Male 78% Male 2016 82% 116 36.0 2017 [mid year] 48 14.9 Figure 5. Gender rates for European [left] and North American [right] festivals [2012 to mid-year 2017]

Gender Proportions by Country Number of Female Male Mixed Unidentified Festivals Gender proportions seem quite different when looking at various counties. For example, for the overall reults 20122012 to mid-year 2017 31 festivals in 9.2% Belgium and 81.5% Japan have 9.0% the lowest 0.3% female per- centages [less than2013 7%] while festivals 18 in Canada 10.9% and Austria 84.3% are highest 4.5% [over 0.3% 17%]. Table 3 shows the proportions of female, male, mixed, and unidentified acts by country for countries with 2014 44 10.7% 81.8% 6.6% 0.9% 10 or more festival editions in 2012 to mid-year 2017, as well as the current data for the same 2015 65 13.5% 78.1% 7.4% 1.0% festivals. Results for further countries are shown in Appendix 2. 2016 116 14.3% 78.0% 7.0% 0.7% 2017 [mid year] 48 18.9% 75.4% 5.4% 0.3% Total 322 13.5% 78.9% 6.9% 0.7%

Table 3. Proportion of acts by country [2012 to mid-year 2017 and 2015 to mid-year 2017]

Country 2012 to mid-year 2017 2015 to mid-year 2017

Number of Number of Female Male Mixed Unidentified Female Male Mixed Unidentified Festivals Festivals Austria 19 18.4% 74.5% 6.8% 0.3% 14 19.2% 73.8% 6.7% 0.3% Belgium 13 6.6% 86.0% 7.4% 0.0% 10 13.0% 77.9% 9.1% 0.0% Canada 11 17.2% 76.8% 4.7% 1.3% 7 22.1% 72.4% 3.9% 1.6% France 22 11.1% 83.0% 5.9% 0.0% 16 10.4% 84.1% 5.5% 0.0% Germany 40 14.8% 74.2% 10.0% 1.0% 25 16.3% 72.6% 9.8% 1.3% Japan 11 6.4% 88.1% 5.4% 0.0% 8 6.9% 88.2% 4.9% 0.0% Mexico 16 9.1% 88.2% 2.4% 0.3% 16 9.1% 88.2% 2.4% 0.3% Netherlands 16 11.7% 83.6% 4.6% 0.1% 14 13.9% 81.2% 4.8% 0.1% Spain 40 11.9% 79.0% 8.4% 0.7% 23 14.0% 76.3% 9.0% 0.7% UK 19 11.2% 79.0% 7.0% 2.8% 12 11.0% 76.4% 9.7% 2.9% USA 40 14.1% 81.0% 4.6% 0.4% 36 14.8% 80.1% 4.7% 0.4% Total 247 13.2% 79.2% 6.9% 0.7% 181 14.4% 78.0% 6.8% 0.8%

8

Number of Female Male Mixed Unidentified Festival Size Festivals Small [up to 25 acts] 107 14.9% 77.2% 7.8% 0.1% Medium [26-50 acts] 101 14.0% 80.2% 5.4% 0.4% Large [more than 50 acts] 114 13.2% 78.8% 7.2% 0.8% Total 322 13.5% 78.9% 6.9% 0.7%

Number of Female Male Mixed Unidentified Festival Size Festivals Very Small [less than 20 acts] 77 16.9% 76.1% 6.8% 0.2% Small [20-29 acts] 52 14.7% 77.3% 7.8% 0.2% Medium [30-45 acts] 101 14.0% 80.2% 5.4% 0.4% Large [46-90 acts] 62 14.9% 78.2% 6.1% 0.8% Very Large [more than 50 acts] 65 12.4% 79.3% 7.5% 0.8% Total 322 13.5% 78.9% 6.9% 0.7%

N % N % 2012 31 9.6 20122013 31 18 9.6 5.6 20132014 18 44 5.6 13.7 20142015 44 65 13.7 20.2 20152016 65 116 20.2 36.0 2016 116 36.0 2017 [mid year] 48 14.9 2017 [mid year] 48 14.9

Number of Number of FemaleFemale Male Male Mixed Mixed Unidentified Unidentified FestivalsFestivals

20122012 31 31 9.2% 9.2% 81.5% 81.5% 9.0% 9.0% 0.3% 0.3% 20132013 18 18 10.9% 10.9% 84.3% 84.3% 4.5% 4.5% 0.3% 0.3% 20142014 44 44 10.7% 10.7% 81.8% 81.8% 6.6% 6.6% 0.9% 0.9% 20152015 65 65 13.5% 13.5% 78.1% 78.1% 7.4% 7.4% 1.0% 1.0% 20162016 116 116 14.3% 14.3% 78.0% 78.0% 7.0% 7.0% 0.7% 0.7% 20172017 [mid[mid year] year] 48 48 18.9% 18.9% 75.4% 75.4% 5.4% 5.4% 0.3% 0.3% TotalTotal 322 322 13.5% 13.5% 78.9% 78.9% female:pressure 6.9% 6.9% 0.7% 0.7% FACTS 2017 Gender Proportions by Festival Size We also wanted to see, if gender proportions depend on the size of the festival. Lacking visitor numbers, we used the number of total acts to categorize festivals into three groups as well as more refined into five groups. The graph on the left in Figure 6 / Table 4 show 2012 to mid-year 2017 2015 to mid-year 2017 that theCountry number of female acts 2012is similar to mid-year across the2017 three categories,2015 while to themid-year graph 2017on the right side of Figure 6 / TableNumberNumber of5 of shows five categories. NumberNumber of of FemaleFemale Male Male Mixed Mixed Unidentified Unidentified FemaleFemale Male Male Mixed Mixed Unidentified Unidentified FestivalsFestivals FestivalsFestivals Austria 19 19 18.4% 18.4% 74.5% 74.5% 6.8% 6.8% 0.3% 0.3% 14 14 19.2% 19.2% 73.8% 73.8% 6.7% 6.7% 0.3% 0.3% Belgium 13 6.6% 86.0% 7.4% 0.0% 10 13.0% 77.9% 9.1% 0.0% Belgium 13 6.6% 86.0% 7.4% 0.0% 10 13.0% 77.9% 9.1% 0.0% Canada 11 17.2% 76.8% 4.7% 1.3% 7 22.1% 72.4% 3.9% 1.6% Canada 11 17.2% 76.8% 4.7% 1.3% 7 22.1% 72.4% 3.9% 1.6% France 22 11.1% 83.0%Large [more 5.9% than 50 acts] 0.0% 16 10.4% 84.1% 5.5% 0.0% France 22 11.1% 83.0% 5.9% 0.0% 16 10.4% 84.1% 5.5% 0.0% Germany 40 14.8% 74.2%Medium 10.0%[26-50 acts] 1.0% 25 16.3% 72.6% 9.8% Very 1.3%Large [more than 90 acts] Germany 40 14.8% 74.2%Small [up to 10.0% 25 acts] 1.0% 25 16.3% 72.6% 9.8%Large [46-90 1.3% acts] Japan 11 6.4% 88.1% 5.4% 0.0% 8 6.9% 88.2% 4.9% Medium 0.0% [30-45 acts] JapanMexico 16 11 9.1% 6.4% 88.2% 88.1% 2.4% 5.4% 0.3% 0.0% 16 8 9.1% 6.9% 88.2% 88.2% 2.4% 4.9% Small 0.3% [20-29 0.0% acts] MexicoNetherlands 16 16 11.7% 9.1% 83.6% 88.2% 4.6% 2.4% 0.1% 0.3% 14 16 13.9% 9.1% 81.2% 88.2% 4.8% 2.4% Very 0.1%Small 0.3% [less than 20 acts] NetherlandsSpain 40 16 11.9% 11.7% 79.0% 83.6% 8.4% 4.6% 0.7% 0.1% 23 14 14.0% 13.9% 76.3% 81.2% 9.0% 4.8% 0.7% 0.1% SpainUK 19 40 11.2% 11.9% 79.0% 79.0% 7.0% 8.4% 2.8% 0.7% 12 23 11.0% 14.0% 76.4% 76.3% 9.7% 9.0% 2.9% 0.7% UKUSA 40 19 14.1% 11.2% 81.0% 79.0% 4.6% 7.0% 0.4% 2.8% 36 12 14.8% 11.0% 80.1% 76.4% 4.7% 9.7% 0.4% 2.9% USATotal 247 40 13.2% 14.1% 79.2% 81.0% 6.9% 4.6% 0.7% 0.4% 181 36 14.4% 14.8% 78.0% 80.1% 6.8% 4.7% 0.8% 0.4% Total 247 13.2% 79.2% 6.9% 0.7% 181 14.4% 78.0% 6.8% 0.8%

Gender Female Male Mixed Unidentified Figure 6. Female, male, mixed and unidentified acts by festival size in three and five categories [2012 to mid-year 2017]

Table 4. Female, male, mixed and unidentified acts by festival size in three categories [2012 to mid-year 2017]

Number of Festival Size Female Male Mixed Unidentified FestivalsNumber of Festival Size Female Male Mixed Unidentified Small [up to 25 acts] Festivals 107 14.9% 77.2% 7.8% 0.1% SmallMedium [up [26-50 to 25 acts]acts] 101 107 14.0% 14.9% 80.2% 77.2% 5.4% 7.8% 0.4% 0.1% MediumLarge [more [26-50 than acts] 50 acts] 114 101 13.2% 14.0% 78.8% 80.2% 7.2% 5.4% 0.8% 0.4% LargeTotal [more than 50 acts] 322 114 13.5% 13.2% 78.9% 78.8% 6.9% 7.2% 0.7% 0.8% Total 322 13.5% 78.9% 6.9% 0.7%

Table 5. Female, male, mixed and unidentified acts by festival size in five categories [2012 to mid-year 2017]

Number of Female Male Mixed Unidentified Festival Size Festivals Number of Very Small [less than 20 acts] 77 16.9%Female 76.1% Male 6.8% Mixed 0.2% Unidentified Festival Size Festivals Small [20-29 acts] 52 14.7% 77.3% 7.8% 0.2% VeryMedium Small [30-45 [less acts] than 20 acts] 101 77 14.0% 16.9% 80.2% 76.1% 5.4% 6.8% 0.4% 0.2% SmallLarge [46-90[20-29 acts]acts] 62 52 14.9% 14.7% 78.2% 77.3% 6.1% 7.8% 0.8% 0.2% MediumVery Large [30-45 [more acts] than 50 acts] 10165 12.4% 14.0% 79.3% 80.2% 7.5% 5.4% 0.8% 0.4% LargeTotal [46-90 acts] 322 62 13.5% 14.9% 78.9% 78.2% 6.9% 6.1% 0.7% 0.8% Very Large [more than 50 acts] 65 12.4% 79.3% 7.5% 0.8% Total 322 13.5% 78.9% 6.9% 0.7%

8 9 female:pressure FACTS 2017

Figure 7 shows the percentage of female acts for each festival by the size of the respective festival [festival size is defined by the total number of acts] with extremes of 0% women as well as 100% women.

Figure 7. Female acts [in %] by festival size [defined by the total number of acts, 2012 to mid-year 2017]

4. DISCUSSION Summary of the Results

In our present survey, assessing festivals acts from 2015 to mid-year 2017, we found that 15% of all acts were female while 78% were male. We saw that, although the rate of female acts rose slightly over the years, there is still an enormous gap between female and male artists appearing on stage.

Comparison With Other Studies

Thump [a subsidiary of Vice] conducted a similar survey focusing specifically on electronic music festivals in 2016: https://thump.vice.com/en_us/article/qkazzq/2016-electronic-music-festivals-gender-breakdown The scope of this survey was much smaller than the FACTS survey: Thump tallied only 24 festivals [all taking place in the first half of 2016] and they did not account for mixed acts, instead counting all mixed acts as female.

The Huffington Post also conducted a music festival gender parity survey in 2016, though they considered a broader range of genres: http://data.huffingtonpost.com/music-festivals Again, the scope of this survey was much smaller than the FACTS survey: 10 festivals’ line-ups over 2012-2016 [50 editions total]. However, like the FACTS survey, Huffington was very transpar- ent about their methodology: http://data.huffingtonpost.com/music-festivals/methodology

10 female:pressure FACTS 2017

Pitchfork also conducted a similar survey in 2017, though the scope was multi-genre and included only 23 festivals, for a total of 996 acts counted: http://pitchfork.com/features/festival-report/10059-are-music-festival-lineups-getting-worse/

All three of these surveys came up with very similar percentages: festival line-ups on average in- clude only 12%-14% female acts, and on average only 10%-12% mixed acts.

In 2016, Deutscher Kulturrat [an umbrella organisation of German cultural assemblies] published a very comprehensive study about the job market development for women in culture and media in Germany. The report comprises data mostly retrieved through administrative bodies, covers a time span of 20 years and a variety of sectors. For the music sector, the study does not draw any distinction between musical genres but rather between kinds of occupation. The analysis is based on the amount of insured persons and their income. Thus, a direct comparison with our results for an international electronic music scene and the representation of women in festival line-ups does not make much sense. However, it is an interesting example of a gender survey even if its aims differ from our own. https://www.kulturrat.de/wp-content/uploads/2016/12/Frauen-in-Kultur-und-Medien.pdf [http://www.dw.com/en/how-germany-is-boosting-womens-careers-in-culture-and-the-media/a-39729533]

Strengths and Limitations of the Survey

In the course of conducting the survey, it became quite obvious that counting female, male and mixed acts is not as simple as it seems at first glance. Thus, it was important that we make clear guidelines for how to count as accurately and consistently as possible. Due to the grassroots character of the whole undertaking and the amount of helpers and contributors involved, these guidelines [which you can read in the “Methods” section] were often partly overlooked or may- be also misunderstood. Some not-so-easy-to-answer questions were raised. For example, how should we count an act who is announced under a single, easy to identify artist name but who actually performed with other musicians, singers, or visual artists with different genders who are not listed in the line-up? Even if you were present at the performance, you might not have seen everybody on stage. Such incidents often depend on insider information to be aware of them at all and lead to varying results for the very same festival edition.

All data collected is based on the unit “act”, not the single artists on stage/number of persons an act consists of. Assuming there is no systematic gender difference in the number of persons in male or female acts would yield a similar gender proportion regardless if acts or persons are counted. If this assumption holds, however, is unclear.

Another, very frequent phenomenon was the presence of different information about the same festival edition in different media. Resident Advisor would show different numbers of acts than the Facebook event, for example. Festival programs are updated frequently and various versions of them can be found online. Quite a few websites or single web pages disappear or substantially change over time which makes it difficult to find out who played if we were trying to evaluate num- bers submitted a year or two ago.

On the other hand, it is a huge advantage to have so many helpers who are directly involved in the scene we examine and thus know many artist names anyway and can be a lot quicker assigning them to one of the three gender categories we had so far.

10 11 female:pressure We would have liked to verify the data more than we did. FACTS 2017 We reviewed 78 of 229 festival editions for the current survey but lacked time and womanpower to re-count more editions. This is mainly due to the whole project being based on voluntary work without any financial support. Nevertheless, even if some numbers might be less accurate than we aimed for, the overall result would only be affected to a minor degree. In addition, we do not assume that any potential errors in counting the festival acts are systematic but would rather be random. Thus, errors should not systematically bias the results in one direction but even each other out.

Another possible factor that would result in distorted results is “selection bias”. For example, or- ganisers of festivals with a higher number of female acts might be more willing to take part in the survey; this would lead to an overestimation of female acts. A solution to this bias is to try to count all existing electronic music festivals. In addition, since data was provided by festivals organizers for only 23 of the 229 [10%] festival editions for 2015-2017, and 90% of data was assessed by the “Trouble Makers” group, we don’t consider this type of bias to be relevant.

Questions that Remain Unanswered

Up to now, we did not take a very important factor into account: Does the festival receive public funds? We think that with receiving grants from governmental authorities, i.e. tax money, the ob- ligation to program a fair and diverse line-up is even more pressing. We would be interested to compare the factors “public funds” with “gender proportion”. There is reason to believe that line- ups of festivals who receive such funds feature more women as these cultural grants and subsi- dies are often subject to regulations concerning gender equality. A publicly accessible resource where information about the financing of festivals can be retrieved would be extremely helpful for assessment of this issue.

It is obvious that electronic music festival line-ups in at least Europe and North America are domi- nated by white people. This is particularly striking as originates from black and latinx communities. Without these DJs, artists, and audiences of colour we would not even be able to examine what we are examining now. We are very interested in surveys that have a look into the overall quota of people of colour invited to play at such festivals. And we are specifically interested in the representation of women* of colour in this scene.

We are also wondering if the gender and number of festival bookers, curators, and/or program- mers affect the gender balance of line-ups. Is it a single curator who might act as an impresario or is it a team of curators? Do female bookers book more female artists? Or could it have a contrary effect that women responsible for a festival’s program need to over-fulfill a “relevance” criteria and thus book the most hyped and therefore mostly male artists?

A study like the aforementioned “Frauen-in-Kultur-und-Medien” by Deutscher Kulturrat which in- vestigates the income development of professionals in culture and media would be extremely helpful to complement our surveys if it distinguished musical genres and, ideally, compared sev- eral countries.

We would like to see and eventually also contribute to a code of conduct: a guideline for best practice for festivals to accommodate the societal and cultural implications that their programs, advertising, and publications produce. We think it is never and has never been “just about the mu- sic”. There is much more to a festival than that: the achievement of relevance, economic success, social factors--many times on a very personal level--the advancement of a genre [“adventurous music”], political factors and/or other agendas.

We also would like to put more thought into how we categorize non-binary artists, which the cur- rent male/female categories do not account for. 12 female:pressure Suggestions for Festival Organisers, Artistic Directors, Artists FACTS 2017

The results of our FACTS survey show that little has changed in terms of the representation of women in festival programs. But there are festivals which can be seen as best-practice examples to increase the diversity in line-ups: VIA Festival [Pittsburgh, USA], Intonal [Malmö, Sweden], [Norberg, Sweden], Hyperreality [Vienna, Austria] and CTM [Berlin, Germany], for example.

It can be supposed that every single festival has a special set of circumstances and that those circumstances have an effect on the representation of women in their line-ups. In its current form, our study is not capable of answering the question of which characteristics make the difference between gender parity and disparity. Still, we want to offer some thoughts about what we think might be helpful in making line-ups more diverse in the future:

First of all, pursuant of an ethical and political agenda that acknowledges the importance of equal rights and meets concerns about the discrimination against all those who are not white and male artists: Believe in a multi-faceted and heterogeneous electronic music scene. Believe in a less capitalistic approach to your listeners and support a more performance-oriented music culture.

Book more women, non-binary people and people of colour. If you believe they won’t fit your crowd and/or won´t bring in enough money, invest in good press work, install or support under- ground stages and generally promote a vibe of inclusiveness for your event. Network and col- laborate with more booking agencies that have a diverse roster of artists and inform yourself about and/or connect with festivals around the world that make an effort to include equal numbers of women and strive for overall diversity in their line-ups.

On the organisational level: Install a mixed-gender team to program your festival’s line-up. If you are interested in making a change and representing more women, non-binary and people of color in your festival program--thereby reflecting the state of the art in electronic music--make, for example, a public call for participation and describe how you want electronic music to be repre- sented within your festival. We could therefore imagine that festivals reserve a part of their line-up for those artists who get booked through a call which invites especially female artists, non-binary artists and artists of colour.

Support your local underground scene, connect with record dealers and music journalists who are basically experts in the field.

If you have the capacity, host a workshop and discourse program and invite especially women, people of colour and newcomers as panelists and participants. Topics might range from gear, music production, mastering to publishing, music promotion and other music business-related issues. By supporting workshops for music production and DJing, people get connected and informed about the scene so that they can support each other and maybe get booked for your festival the next time. We also suppose that the relationship between artists and festival promot- ers will change then. The workshops and discourse program can be funded in a variety of ways, from ticket sales to donations and fundings [e.g. socio-cultural programs].

When looking at the working conditions of your festival, be aware of the special needs for women and parents in general which could mean installing a system of cooperative and safe child-care for artists’ and staff’s kids.

Initiatives like the Clubcommission Berlin [http://www.clubcommission.de/dokumente/Infos_in_English.html], who want to represent the gateway between clubs, promoters, industry and cultural policy play- ers; engage in the needs and perspectives of the different protagonists in club and festival 12 13 female:pressure FACTS 2017 culture, and could function as an umbrella organisation for festivals, too, to collaboratively work out guidelines which could be developed into a certification. If a festival successfully follows these guidelines, they can promote the festival with the logo of this certification.

With focus on the artists, we have a few more suggestions: Connect yourself with local and/or global networks and resources for women and non-binary artists, you can find a lot of them on the female:pressure website.

Some male artists already show solidarity with their female colleagues and refuse to play if there are no or not enough women on the line-up. We think this is a great strategy that makes promoters and curators question their policies! 5. ACKNOWLEDGEMENTS

Core Survey Team

Angelika Lepper [Utting am Ammersee] Meg Wilhoite [San Francisco] Michelle Endo [Oakland] Stephanie Roll [Berlin] Susanne Kirchmayr [Vienna] Tanja Ehmann [Berlin]

Graphic Design

CO/RE Studio [Berlin] Moira Letby [London]

Data Collection Helpers

Aiko Okamoto [Berlin] Alex Alexopoulos [Paris] Anke Müller [Saarbrücken] Bianca Ludewig [Berlin] Caro Churchill [Manchester] Corina MacDonald [Montreal] Daniela Seitz [Berlin] Ece Özel [Istanbul] Evgenia Nedosekina [Moscow] Evren Da Conceiçåo [Vienna] Franziska Plückhan [Berlin] Iolanda Casino [Barcelona] Janina Schütz [Berlin] Maureen Schipper [London] Nina Kardec [Paris] Olivia Louvel [London] Sarah Martinus [Berlin] and the many individuals who sent data using our online form!

14 female:pressure 6. APPENDICES FACTS 2017 Appendix 1: Gender proportions for all regions [2012 to mid-year 2017] Appendix 2: Gender proportions for all countries [2012 to mid-year 2017] Appendix 3: Gender proportions for all festivals [by year]

Appendix 1: GenderNumber proportions of for all regions [2012 to mid-year 2017] Female Male Mixed Unidentified Region Festivals Asia 12 7.4% 87.7% 4.9% 0.0% Number of RegionCaribbean 1 Female 14.7% Male 77.3% Mixed 7.8% Unidentified 0.0% Europe Festivals 233 14.0% 80.2% 5.4% 0.7% NorthAsia America 6712 14.9% 7.4% 78.2%87.7% 4.9%6.1% 0.0%0.5% PacificCaribbean 31 12.4%14.7% 79.3%77.3% 7.8%7.5% 0.0% SouthEurope America 6233 12.4%14.0% 79.3%80.2% 5.4%7.5% 0.7%0.0% TotalNorth America 32267 13.5%14.9% 78.9%78.2% 6.9%6.1% 0.5%0.7% Pacific 3 12.4% 79.3% 7.5% 0.0% South America 6 12.4% 79.3% 7.5% 0.0% Total 322 13.5% 78.9% 6.9% 0.7% Appendix 2: Gender proportions for all countries [2012 to mid-year 2017]

Number of Female Male Mixed Unidentified Country Festivals Argentina 12 7.4% 87.7% 4.9% 0.0% Number of CountryAustralia 1 Female 14.7% Male 77.3% Mixed 7.8% Unidentified 0.0% Austria Festivals 233 14.0% 80.2% 5.4% 0.7% BelgiumArgentina 6712 14.9% 7.4% 78.2%87.7% 4.9%6.1% 0.0%0.5% BrazilAustralia 31 12.4%14.7% 79.3%77.3% 7.8%7.5% 0.0% CanadaAustria 6233 12.4%14.0% 79.3%80.2% 5.4%7.5% 0.7%0.0% CroatiaBelgium 367 14.9% 3.9% 93.0%78.2% 6.1%1.6% 0.5%1.6% CubaBrazil 13 12.4% 9.4% 81.3%79.3% 7.5%9.4% 0.0% CzechCanada Republic 86 13.2%12.4% 80.3%79.3% 7.5%6.1% 0.0%0.4% DenmarkCroatia 73 16.4% 3.9% 69.0%93.0% 14.3% 1.6% 10.3% 1.6% FinlandCuba 1 5.3%9.4% 76.7%81.3% 18.0% 9.4% 0.0% FranceCzech Republic 228 11.1%13.2% 83.0%80.3% 6.1%5.9% 0.4%0.0% GeorgiaDenmark 37 16.4% 2.2% 97.8%69.0% 14.3% 0.0% 10.3% 0.0% GermanyFinland 401 14.8% 5.3% 74.2%76.7% 18.0%10.0% 0.0%1.0% GreeceFrance 122 11.1% 0.0% 100.0%83.0% 5.9%0.0% 0.0%1.0% HungaryGeorgia 23 16.7% 2.2% 76.9%97.8% 0.0%6.4% 0.0% JapanGermany 1140 14.8% 6.4% 88.1%74.2% 10.0% 5.4% 1.0%0.0% LatviaGreece 21 18.4% 0.0% 75.5%100.0% 0.0%6.1% 1.0%0.0% MexicoHungary 162 16.7% 9.1% 88.2%76.9% 6.4%2.4% 0.0%0.3% NetherlandsJapan 1611 11.7% 6.4% 83.6%88.1% 5.4%2.4% 0.0%0.1% NorwayLatvia 52 20.8%18.4% 69.0%75.5% 10.2% 6.1% 0.0% PolandMexico 316 15.7% 9.1% 77.2%88.2% 2.4%6.7% 0.3% PortugalNetherlands 216 11.7% 3.7% 91.3%83.6% 2.4%1.8% 0.1%3.2% RomaniaNorway 35 25.0%20.8% 72.9%69.0% 10.2% 2.1% 0.0% RussiaPoland 63 15.7% 6.7% 88.1%77.2% 6.7%5.2% 0.3%0.0% SingaporePortugal 12 16.7% 3.7% 83.3%91.3% 1.8%0.0% 3.2%0.0% SlovakiaRomania 23 25.0% 8.8% 88.2%72.9% 2.1%2.9% 0.0% SloveniaRussia 16 0.0%6.7% 88.9%88.1% 11.1% 5.2% 0.0% SpainSingapore 401 11.9%16.7% 79.0%83.3% 0.0%8.4% 0.0%0.7% SwedenSlovakia 92 33.8% 8.8% 60.2%88.2% 2.9%5.5% 0.0%0.5% SwitzerlandSlovenia 41 11.6% 0.0% 82.9%88.9% 11.1% 5.0% 0.0%0.6% UKSpain 1940 11.2%11.9% 79.0% 8.4%7.0% 0.7%2.8% USASweden 409 14.1%33.8% 81.0%60.2% 5.5%4.6% 0.5%0.4% UkraineSwitzerland 24 15.5%11.6% 82.8%82.9% 5.0%0.0% 0.6%1.7% TotalUK 32219 13.5%11.2% 78.9%79.0% 7.0%6.9% 2.8%0.7% USA 40 14.1% 81.0% 4.6% 0.4% 14 15 Ukraine 2 15.5% 82.8% 0.0% 1.7% Total 322 13.5% 78.9% 6.9% 0.7% female:pressure FACTS 2017

Appendix 3: Gender proportions for all festivals [by year]

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55.6%  0.0%  0.0% +LRTHU[LSAbstrasension -LZ[P]HS ;VR`V 5V]LTILY 2016  25   0.0% 100.0%   0.0%  0.0% +LRTHU[LSAlfa Future 3VUKVUPeople 2016  41 7.3%   92.7%  0.0%  0.0% +LRTHU[LSApparitions :LSLJ[VYZ Festival 2016  32 3.1% 96.9%  0.0%  0.0% +LZLY[ /LHY[Z :WYPUN 2017  31 3.2% 93.5%  3.2%  0.0% Aquasella 2014  56 8.9% 89.3%  1.8%  0.0% +PY[`Ars )PYK *HTWV\[ 2012 130 24.6%  73.1%  2.3%  0.0% AVA 2016  27 7.4% 85.2%  7.4%  0.0% KVUH\MLZ[P]HS 2017  44  15.9%  72.7%   4.5%  6.8% Awakenings Festival 2015 110 10.0%   86.4%   3.6%  0.0% +V\Y -LZ[P]HS 2016 103 6.8% 90.3%  2.9%  0.0% LFTH` -LZ[P]HS 2017  112  15.2% 83.0%   1.8%  0.0% ,RRVMLZ[P]HSLUBass Coast 2016  17 17.6%   82.4%  0.0%  0.0% ,SLJ[YPJBerlin Atonal +HPZ` *HYUP]HS 5L^ @VYR 2015  70 4.3%  90.0%  5.7%  0.0% ,SLJ[YPJ +HPZ` *HYUP]HS 6YSHUKV 2016  89 16.9% 75.3%  7.9%  0.0% ,SLJ[YPJ :WYPUN 2014  67  3.0%  92.5%  4.5%  0.0% Berlin Festival 2012  87  13.8%  75.9% 10.3%   0.0% ,SLJ[YPJBerlin Music :WYPUN Week /\KKLYZÄLSK 2014 229 16.2% 72.1% 11.8%   0.0% Boom Festival 2012 171  2.9%  90.6%  2.3%  4.1% Bozar 2015  24  4.2%  83.3%  12.5%  0.0% 2016  26  15.4%  80.8%  3.8%  0.0% ,SLJ[YVUBPM Festival -LZ[P]HS 2015 152 5.3%  94.1%  0.7%  0.0% 2016 377  9.3%  88.9%  1.1%  0.8% BY:LARM 2013 134  21.6%  68.7%  9.7%  0.0% c/o pop 2012  82 17.1%  65.9% 17.1%   0.0% ,SLJ[YVUPJHCarnaval de ,U Bahidorá (IYPS 2015  21  14.3%   76.2%  9.5%  0.0% 2016  30 3.3%  80.0% 16.7%   0.0% 2017  36 16.7%   77.8%  5.6%  0.0% CasiMiniFest 2014  6  16.7%  66.7% 16.7%   0.0% ,SL]H[LChance of Rain 2016  52  17.3%  76.9%  3.8%  1.9% ,\M~UPJClick 2015  34  17.6%  70.6%  5.9%  5.9% -HZJPUVTH -LZ[P]HS 2016  33 12.1% 57.6% 30.3%   0.0% -SV^ -LZ[P]HS 2017  17 29.4%   52.9%   17.6%  0.0% -694Communikey (YJVZHU[P 2013  22  13.6%  81.8%  4.5%  0.0% Comunite 2016  34  17.6%  82.4%  0.0%  0.0% 2017  40  12.5%   85.0%  2.5%  0.0% MYHTL^VYRZCrosstown Rebels MLZ[P]HS Day Zero 2016 12   8.3%  91.7%  0.0%  0.0% -YLL 9V[H[PVU 2017 12  8.3%  91.7%  0.0%  0.0% 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;OLPrimavera )\URLY Sound _ +LRTHU[LS 2015 197  10.2%  69.5%  15.7%  4.6% ;OL *OVZLU -L^ +QZ 2016 156  7.7% 83.3%  9.0%  0.0% ;PTL >HYW 2017 192 13.5% 73.4%  13.0%  0.0% 2014 145 9.0% 74.5%  14.5%  2.1% Q-O2 festival the other the self 2015 8  50.0%  50.0%  0.0%  0.0% ;PTL >HYW (YNLU[PUH 2016 4 50.0%  25.0%  25.0%  0.0% Rainbow Disco Club 2016 23  4.3%  91.3%  4.3%  0.0% ;PTL >HYW <:( 2017 24 8.3%  91.7% 0.0%  0.0% ;VKH`Z(Y[Rewire 2016 61 24.6%  63.9%  11.5%  0.0% 2017  74  18.9%  68.9% 10.8%  1.4% Rokolectiv 2015 17 17.6%   76.5%  5.9%  0.0% ;VNL[OLY -LZ[P]HS 2016 16  31.3%  68.8%  0.0%  0.0% 2017 15  26.7% 73.3%  0.0%  0.0% Roskilde 2015 169 17.2%   73.4%  9.5%  0.0% ;YHUZTPZZPVUSchiev 2015 19 21.1%  73.7%  5.3%  0.0% ;YLULSLUI\YN 2016 17 17.6%  64.7%  17.6%  0.0% H_Sonne ;YLH[TLU[ Mond Sterne (MYPJH :WLJPHS 2015 91 5.5% 91.2%  3.3%  0.0% >LH[OLY -LZ[P]HS 2016 137 5.1% 90.5%  4.4%  0.0% >OH[Sonorities ;OL -LZ[P]HS 2013 61 16.4%   82.0%  1.6%  0.0% ?PIHSIHSound and -LZ[P]HS Music 2012 30 10.0%   90.0% 0.0%  0.0% AV\RV\[SPOT 2015 190 15.8%   66.8%  17.4%  0.0% ;V[HS 2012  121  16.5%   67.8% 15.7%  0.0% springfestival 2016 119 8.4% 89.9% 0.8% 0.8% 2017 47 8.5% 87.2% 4.3% 0.0% 2013 74 2.7% 90.5% 5.4% 1.4% Störung 2014 21 9.5% 90.5% 0.0% 0.0% Strichka Festival 2016 30 13.3% 83.3% 0.0% 3.3% 2017 28 17.9% 82.1% 0.0% 0.0% STRP BIËNNALE 2015 47 4.3% 87.2% 8.5% 0.0% 2017 64 35.9% 59.4% 4.7% 0.0% Supersonic Festival 2012 113 7.1% 88.5% 4.4% 0.0% Symbiosis Gathering 2016 16 12.5% 87.5% 0.0% 0.0% SynCussion 2017 12 33.3% 50.0% 16.7% 0.0% TaicoClub 2015 35 5.7% 80.0% 14.3% 0.0% 2016 33 12.1% 84.8% 3.0% 0.0% 2017 23 4.3% 82.6% 13.0% 0.0% 2012 25 0.0% 84.0% 16.0% 0.0% The Bunker x Dekmantel 2016 7 14.3% 85.7% 0.0% 0.0% The Chosen Few Djs 2016 27 11.1% 88.9% 0.0% 0.0% Time Warp 2015 40 7.5% 92.5% 0.0% 0.0% 2016 41 9.8% 90.2% 0.0% 0.0% 2017 41 12.2% 87.8% 0.0% 0.0% Time Warp Argentina 2015 16 0.0% 100.0% 0.0% 0.0% 2016 17 0.0% 100.0% 0.0% 0.0% Time Warp USA 2015 17 5.9% 88.2% 5.9% 0.0% TodaysArt 2015 38 15.8% 76.3% 7.9% 0.0% 2016 31 29.0% 58.1% 12.9% 0.0% 2012 198 6.1% 88.9% 5.1% 0.0% Together Festival 2015 71 14.1% 84.5% 1.4% 0.0% 2016 26 23.1% 76.9% 0.0% 0.0% 2017 32 21.9% 78.1% 0.0% 0.0% Transmission 2014 11 0.0% 100.0% 0.0% 0.0% Trenelenburg 2014 27 0.0% 85.2% 7.4% 7.4% Ultrahang Fest 2015 41 9.8% 82.9% 7.3% 0.0% 2016 37 24.3% 70.3% 5.4% 0.0% Unsound Adelaide 2015 12 8.3% 75.0% 16.7% 0.0% 2016 12 16.7% 66.7% 16.7% 0.0% 2012 9 0.0% 100.0% 0.0% 0.0% Unsound Krakow 2015 103 13.6% 78.6% 6.8% 1.0% 2016 114 24.6% 67.5% 7.9% 0.0% 2012 95 7.4% 87.4% 5.3% 0.0% Unsound Tbilisi 2012 15 6.7% 93.3% 0.0% 0.0% UP Festival 2014 14 0.0% 100.0% 0.0% 0.0% Urban Art Forms 2013 50 2.0% 94.0% 4.0% 0.0% VIA Festival 2015 49 42.9% 49.0% 8.2% 0.0% 2016 22 50.0% 40.9% 9.1% 0.0% Volt Festival 2012 18 27.8% 66.7% 5.6% 0.0% 2013 19 42.1% 57.9% 0.0% 0.0% Voltt Festival 2016 37 2.7% 94.6% 2.7% 0.0% Wax Treatment Africa Special 2012 31 0.0% 96.8% 3.2% 0.0% Weather Festival 2014 36 5.6% 94.4% 0.0% 0.0% What The Festival 2017 112 8.9% 86.6% 4.5% 0.0% Xibalba Festival 2016 17 23.5% 70.6% 5.9% 0.0% Zoukout 2014 30 16.7% 83.3% 0.0% 0.0% Total 18956 13.5% 78.9% 6.9% 0.7% 5\TILY VM -LTHSL 4HSL 4P_LK LLR       )VVT -LZ[P]HS       )VaHY             )74 -LZ[P]HS             )@!3(94        JV WVW       *HYUH]HS KL )HOPKVYm                   *HZP4PUP-LZ[       *OHUJL VM 9HPU       *SPJR                    *VTT\UPRL`       *VT\UP[L             *YVZZ[V^U 9LILSZ +H` ALYV             *YZZK -LZ[P]HS             *;4                                  *`UL[HY[       +H` MVY 5PNO[       +LJPILS -LZ[P]HS             +LRTHU[LS -LZ[P]HS (TZ[LYKHT                   +LRTHU[LS -LZ[P]HS :qV 7H\SV        +LRTHU[LS -LZ[P]HS ;VR`V (WYPS       +LRTHU[LS -LZ[P]HS ;VR`V 5V]LTILY        +LRTHU[LS 3VUKVU       +LRTHU[LS :LSLJ[VYZ       +LZLY[ /LHY[Z :WYPUN             +PY[` )PYK *HTWV\[             KVUH\MLZ[P]HS               +V\Y -LZ[P]HS       LFTH` -LZ[P]HS       ,RRVMLZ[P]HSLU       ,SLJ[YPJ +HPZ` *HYUP]HS 5L^ @VYR       ,SLJ[YPJ +HPZ` *HYUP]HS 6YSHUKV       ,SLJ[YPJ :WYPUN             ,SLJ[YPJ :WYPUN /\KKLYZÄLSK                         ,SLJ[YVU -LZ[P]HS                        ,SLJ[YVUPJH ,U (IYPS                          ,SL]H[L       ,\M~UPJ       -HZJPUVTH -LZ[P]HS       -SV^ -LZ[P]HS        -694 (YJVZHU[P                    MYHTL^VYRZ MLZ[P]HS      -YLL 9V[H[PVU      -\Y[OLY -\[\YL       -\ZPVU                    -\[\YL,]LY`[OPUN           female:pressure        FACTS  2017  -@- -LZ[        .LVTL[Y` VM 5V^       .94  (RV\ZTH       .94  3P]L LSLJ[YVUPX\L       Number of Festival.\[LALP[ -LZ[P]HS  Female   Male Mixed Unidentified  Acts     /LHY[3hd Festival VM 5VPZL 2015  19 47.4% 47.4%   5.3% 0.0% 2016  23 47.8%  43.5%  8.7% 0.0% 4GB 2016  32  3.1%  96.9%  0.0% 0.0% /VS` :OPW 2017  46 0.0%  100.0%   0.0% 0.0% /`WLYYLHSP[`50 Years of Minimalism 2012  9  44.4% 55.6%  0.0% 0.0% /`[LAbstrasension )LYSPU  5@, >LLR 2016  25 0.0% 100.0%   0.0% 0.0% 0Alfa 3V]L Future ;LJOUV People 2016  41 7.3% 92.7%  0.0% 0.0% Apparitions Festival 2016  32 3.1% 96.9%  0.0% 0.0% 0 3V]L ;LJOUV ,\YVWL 2017  31 3.2%   93.5% 3.2% 0.0% Aquasella 2014  56 8.9%   89.3% 1.8% 0.0% 0*(:Ars Electronica -LZ[P]HS 2012 130 24.6%   73.1%  2.3%  0.0% 0NSVVMLZ[AVA 2016  27 7.4% 85.2%   7.4%  0.0% 2017  44 15.9%   72.7%  4.5%  6.8% Awakenings Festival 2015 110 10.0%   86.4%  3.6%  0.0% 000 )PLUHS 4‚ZPJH /VQL 2016 103 6.8%  90.3% 2.9% 0.0% 0UZVTUPH 2017 112 15.2%   83.0%   1.8%  0.0% Bass Coast 2016  17 17.6%   82.4% 0.0%  0.0% 2015  70 4.3%  90.0% 5.7% 0.0% PU[VUHS 2016  89 16.9%  75.3%  7.9%  0.0% 2014  67 3.0%  92.5%  4.5%  0.0% Berlin Festival 2012  87 13.8%   75.9% 10.3%   0.0% RVU[Y(W\UR[Berlin Music Week 2014 229 16.2%  72.1% 11.8%   0.0% 29((Boom Festival -LZ[P]HS 2012 171 2.9%  90.6%  2.3%  4.1% 2YHHRBozar -LZ[P]HS 2015  24 4.2%  83.3% 12.5%   0.0% 2016  26 15.4% 80.8%  3.8%  0.0% 2YHRLBPM Festival -LZ[P]HS 2015 152 5.3%  94.1%  0.7% 0.0% 2016 377 9.3%  88.9%  1.1% 0.8% BY:LARM 2013  134 21.6%   68.7%  9.7%  0.0% c/o pop 2012  82 17.1%   65.9% 17.1%   0.0% 3,=Carnaval -LZ[P]HS de Bahidorá 2015  21 14.3%   76.2% 9.5%  0.0% 2016  30 3.3% 80.0% 16.7%  0.0% 2017  36 16.7%   77.8%  5.6%  0.0% 3,Z[YHU`CasiMiniFest 2014  6 16.7%   66.7% 16.7%  0.0% 3HI`YPU[OChance of Rain 2016  52 17.3%   76.9%  3.8%  1.9% 3HWZ\ZClick -LZ[P]HS 2015  34 17.6%  70.6%  5.9%  5.9% 2016  33 12.1%   57.6% 30.3%   0.0% 2017  17 29.4%    52.9% 17.6%   0.0% 3,4Communikey -LZ[P]HS 2013  22 13.6%    81.8%  4.5%  0.0% Comunite 2016  34 17.6%  82.4%   0.0%  0.0% 3LU[L 2HIPUL[ 2017  40 12.5%  85.0%  2.5%  0.0% Crosstown Rebels Day Zero 2016  12 8.3%  91.7%  0.0%  0.0% 3LZ -LTTLZ Z»LU 4vSLU[ 2017  12  8.3% 91.7%   0.0% 0.0% 3LZCrssd :PLZ[LZ Festival ,SLJ[YVUPX\LZ 7HYPZ 2016  41  7.3% 92.7%  0.0%  0.0% 2017 45 8.9%  86.7%  4.4%  0.0% 3LZCTM :PLZ[LZ ,SLJ[YVUPX\LZ ;V\SV\ZL 2015 146 22.6%  73.3%  4.1%  0.0% 2016 187 32.1%  58.3% 9.6%  0.0% 2017 198 42.9% 53.5%  2.5% 1.0% 3PNO[UPUN PU H )V[[SL 2014 101 14.9%  76.2%  8.9%  0.0% 2013 181 9.9%  84.5% 3.9% 1.7% 3VZ[;OLVY`Cynetart 2016 13 30.8%  53.8%  15.4%   0.0% 3V]LDay for :H]LZ Night [OL +H` 2016 69 13.0% 75.4% 11.6%   0.0% Decibel Festival 2015 131 15.3%  84.0%  0.8% 0.0% 3V]LIV_ 2014 145 12.4%  82.1% 5.5% 0.0% 3\UJOTLH[Dekmantel Festival Amsterdam 2015 103 4.9%  95.1%    0.0%  0.0% 2016 23 13.0%  87.0%  0.0% 0.0% 2014 80 2.5%  96.3% 1.3% 0.0% Dekmantel Festival São Paulo 2017 54 20.4%  79.6%  0.0% 0.0% 18 4mJOmJDekmantel Festival Tokyo April 2016 33 3.0% 97.0% 0.0% 0.0% 4(.5,;0*Dekmantel Festival -LZ[P]HS Tokyo November 2016 16 18.8%  81.3% 0.0% 0.0% 4HPU[LUHU[Dekmantel London 2016 10 0.0%  100.0%   0.0% 0.0% Dekmantel Selectors 2016 71 7.0%   93.0% 0.0% 0.0% 4HTI`Desert Hearts VU [OL Spring )LHJO 2016 37 5.4%  91.9%  0.0% 2.7% 2017 41 4.9%  92.7%  2.4% 0.0% 4HUHUHDirty Bird *\IH Campout 2015 35 5.7%  88.6%  5.7% 0.0% 4LHR\ZTH 2016 35 2.9%  94.3%  2.9% 0.0% 4LS[donaufestival 2015 39 12.8%  69.2% 17.9%  0.0% 2016 49 8.2%  71.4%  18.4%  2.0% Dour Festival 2012 232 2.2%  90.5%  7.3%  0.0% e_may Festival 2012 18 50.0%   5.6% 44.4%  0.0% 4,4Ekkofestivalen 2012 29 3.4%  86.2% 10.3%   0.0% Electric Daisy Carnival New York 2012 81 7.4%  87.7% 4.9% 0.0% 4L[HTVYWOVZLElectric Daisy Carnival Orlando 2012 57 1.8% 94.7% 3.5% 0.0% 4PYHElectric -LZ[P]HS Spring 2016 33 30.3%  54.5%  15.2%  0.0% 2017 13 53.8% 46.2%  0.0% 0.0% 4VKLYUElectric Spring -LZ[P]HS Huddersfield 2015 16 25.0% 62.5% 0.0% 12.5%  4VULNYVZ 2016 20 10.0% 50.0% 40.0%  0.0% 4VVNMLZ[ 2017 14 21.4%  64.3% 14.3%  0.0% 2013 15 6.7%  93.3% 0.0% 0.0% 4V]LTLU[Electron Festival +L[YVP[ 2016 95 21.1%  74.7%  4.2% 0.0% 2017 71 5.6%  87.3% 4.2% 2.8% 2014 99 12.1%  82.8%  5.1% 0.0% 2013 97 6.2%  87.6%  6.2% 0.0% T\ZPJElectronica \USPTP[LK En Abril 2015 13 7.7%  84.6%  7.7%  0.0% T\ZPJ ^LK SPRL [V OLHY 2016 12 0.0% 100.0%  0.0%  0.0% 4\ZPRWYV[VRVSS 2017 10 30.0%  70.0% 0.0% 0.0% 2014 16 25.0%  68.8%  6.3% 0.0% 4\[LRElevate )HYJLSVUH 2016 44 13.6% 84.1% 2.3% 0.0% Eufònic 2014 14 14.3% 71.4%  14.3%  0.0% Fascinoma Festival 2016 41 7.3%  90.2%  2.4%  0.0% Flow Festival 2012 133 5.3%  76.7%  18.0%  0.0% FORM Arcosanti 2015 26 26.9%   57.7% 15.4%  0.0% 4\[LR 4VU[YLHS 2016 32 21.9% 71.9% 6.3% 0.0% 2017 37 29.7%  62.2%  8.1% 0.0% frameworks festival 2013 9 11.1%  88.9%  0.0% 0.0% Free Rotation 2014 88  13.6%   75.0% 1.1%  10.2%  4\[LRFurther 4? Future 2016 61 6.6%  83.6%  9.8% 0.0% Fusion 2015 552 10.9%  71.0%  14.9%   3.3% 4`Z[LY`SHUK 2016 726 10.9%  72.7%  14.0%   2.3% 5H[PVU VM .VUK^HUH 2012 251 9.6%  69.3%  21.1%  0.0% 5LVWVWFutureEverything -LZ[P]HS 2015 27 11.1% 81.5% 3.7% 3.7% 5L^ -VYTZ -LZ[P]HS 2016 21 19.0%  66.7%  14.3%  0.0% 2013 22 4.5%   90.9% 4.5% 0.0% 5,?;FYF Fest -LZ[P]HS 2016 52 15.4%  78.8%  5.8% 0.0% 5VYILYNMLZ[P]HSGeometry of Now 2017 30 6.7%  80.0%  13.3%  0.0% GRM - Akousma 2017 10  20.0%  80.0% 0.0% 0.0% GRM - Live electronique 2017 10 0.0%  90.0% 10.0%  0.0% GuteZeit Festival 2016 10 0.0% 100.0% 0.0%  0.0% 5€YKPR 0TWHR[ 2017 14 0.0% 100.0%  0.0% 0.0% Heart of Noise 2015 28 7.1% 89.3% 3.6% 0.0% 2016 26 7.7% 84.6%  7.7% 0.0% 5V]HZ -YLX\LUJPHZ 2017 25 24.0%  76.0% 0.0% 0.0% Holy Ship 2017 142 9.2%  89.4% 1.4% 0.0% 5\P[ZHyperreality :VUVYLZ 2017 78 47.4%  44.9%  7.7% 0.0% Hyte Berlin - NYE Week 2014 28  7.1%  92.9%  0.0% 0.0% I Love Techno 2012 37 0.0%  97.3%  2.7% 0.0% 2014 36 5.6%  91.7%  2.8% 0.0% 6ɈF/LYaPVZI Love Techno Europe 2016 21 0.0%  100.0%  0.0% 0.0% 6VY[YLKLYZ 2014 24 0.0% 100.0%  0.0% 0.0% 6WLUICAS Festival 4\ZPJ 2015 35 17.1% 74.3%   8.6%  0.0% 6\[SVVRIgloofest 2015 118 16.9% 79.7%  1.7% 1.7% 7PYH[L :[H[PVU 2016 109 35.8% 60.6%  3.7% 0.0% 7P[JOMVYR 4\ZPJ -LZ[P]HS *OPJHNV 2017 71 23.9%  70.4%  5.6%  0.0% 7VW2\S[\YIII Bienal Música Hoje 2015 73 8.2%  91.8% 0.0%   0.0% 7VWYL]VInsomnia 2015 34 26.5% 67.6% 5.9% 0.0% 7YPTH]LYH :V\UK 2016 26 30.8%   61.5%  7.7%  0.0% 2014 22  18.2%  59.1%  22.7% 0.0% intonal 2015 26 26.9%  61.5%  11.5% 0.0% 2016 38  31.6%  55.3% 10.5% 2.6% 86 MLZ[P]HS [OL V[OLY [OL ZLSM 2017 41 51.2% 41.5% 7.3% 0.0% kontrA2punkt 2014 9  0.0%  66.7% 33.3% 0.0% 9HPUIV^KRAA! Festival +PZJV *S\I 2014 17 5.9% 88.2% 5.9% 0.0% Kraak Festival 2015 13 15.4%  61.5% 23.1% 0.0% 9L^PYL 2016 22  4.5%  81.8%  13.6%  0.0% Krake Festival 2015 48 18.8%   70.8%   10.4%  0.0% 9VRVSLJ[P] 2016 49 16.3%  81.6% 2.0% 0.0% 2014 42 14.3%  83.3%  2.4% 0.0% 2013 37 10.8%  89.2% 0.0% 0.0% 9VZRPSKLL.E.V. Festival 2015 20  5.0% 95.0% 0.0% 0.0% :JOPL] 2016 30 13.3%  86.7% 0.0% 0.0% 2014 21 4.8%  85.7%  9.5%  0.0% :*67,L'Estrany 2014 12 8.3%  75.0%  16.7% 0.0% :JVWP[VULLabyrinth 2015 16  0.0% 100.0%  0.0% 0.0% :OLLapsus 4HRLZ Festival 5VPZL 2016 17 17.6% 82.4%   0.0%  0.0% 2017 11 18.2% 81.8%  0.0% 0.0% :PYPSV 4\ZPJ -LZ[P]HS 2014 15 6.7% 93.3% 0.0% 0.0% :RHU\LEM Festival 4LaZ 2015 22 9.1% 68.2% 22.7% 0.0% 2016 29 6.9%  79.3%  13.8% 0.0% :20-Lente Kabinet 2016 29 3.4%  93.1%  3.4%  0.0% :VJOP 4\ZPJ >LLRLUK 2017 26 19.2%  76.9% 3.8% 0.0% :}UHYLes Femmes s’en Mêlent 2013 26 84.6% 0.0% 15.4% 0.0% Les Siestes Electroniques Paris 2015 10 10.0%  90.0%  0.0% 0.0% 2016 8  0.0% 75.0%  25.0% 0.0% Les Siestes Electroniques Toulouse 2015 12 25.0%  66.7%  8.3% 0.0% 2016 13  7.7% 84.6% 7.7% 0.0% :}UHY :V\UK ;VR`V 2014 12 16.7%  66.7%  16.7% 0.0% :VUPJHLightning in a Bottle 2016 72 11.1% 80.6%   8.3%  0.0% :VUUL 4VUK :[LYUL 2017 105  13.3% 72.4% 14.3% 0.0% LostTheory 2013 126 1.6%  98.4% 0.0% 0.0% :VUVYP[PLZLove Saves the Day 2016 124  4.0%  83.9%  10.5%  1.6% :V\UK HUK 4\ZPJ 2017 101  13.9% 80.2%  5.9%  0.0% :76;Lovebox 2016 166  11.4%  75.9% 7.2% 5.4% Lunchmeat 2015 36   27.8%  72.2% 0.0% 0.0% ZWYPUNMLZ[P]HS 2016 38 26.3% 68.4%  5.3%  0.0% 2012 22 13.6%  68.2%   18.2%  0.0% 2014 38  7.9%  78.9%  10.5%  2.6% :[€Y\UNMáchác 2014 64 6.3% 92.2%  1.6%  0.0% :[YPJORHMAGNETIC -LZ[P]HS Festival 2014 10  0.0% 100.0%   0.0%  0.0% Maintenant 2015  29 31.0%  69.0%  0.0%  0.0% :;97 )0Î55(3, 2016 37 29.7%  64.9%  5.4%  0.0% Mamby on the Beach 2016 42 14.3% 81.0%   4.8%  0.0% :\WLYZVUPJ -LZ[P]HS 2017 61 16.4%   78.7%  4.9%  0.0% :`TIPVZPZManana Cuba .H[OLYPUN 2016 32  9.4%  81.3%  9.4%  0.0% :`U*\ZZPVUMeakusma 2016 66 91.0%  84.8%  9.1%  0.0% ;HPJV*S\IMelt! 2015 120 10.8% 80.8%  8.3%  0.0% 2016 121 14.9% 80.2%  5.0%  0.0% 2012 59  8.5%  81.4%  10.2%  0.0% 2014 72 9.7% 80.6%  9.7%  0.0% ;OLMEM )\URLY _ +LRTHU[LS 2015 23  26.1%  43.5%  30.4%  0.0% ;OL *OVZLU -L^ +QZ 2016 17  41.2% 52.9%  5.9%  0.0% ;PTLMetamorphose >HYW 2012 20  5.0% 90.0%  5.0%  0.0% Mira Festival 2016 32 12.5%  78.1%  9.4%  0.0% 2014 50  6.0%  88.0%  6.0%  0.0% ;PTLModern >HYW Festival (YNLU[PUH 2016 21  4.8%  95.2%  0.0%  0.0% Monegros 2014 41  7.3%  92.7%  0.0%  0.0% ;PTLMoogfest >HYW <:( 2016 114 25.4%  70.2% 4.4%  0.0% ;VKH`Z(Y[ 2017 88 34.1%  56.8%  9.1%  0.0% Movement Detroit 2015  143  7.0%  90.9% 0.7%  1.4% 2016 124 12.9%   83.9%  1.6%  1.6% ;VNL[OLY -LZ[P]HS 2017 113  9.7%  85.8%  4.4%  0.0% 2013 77  10.4% 88.3%  1.3%  0.0% music unlimited 2012 28 21.4%   64.3%  14.3%  0.0% ;YHUZTPZZPVUmusic we'd like to hear 2016 10 10.0%  20.0%  70.0%  0.0% ;YLULSLUI\YNMusikprotokoll 2015 69 23.2%  72.5%  4.3%  0.0% H_ ;YLH[TLU[ (MYPJH :WLJPHS 2014 54 13.0% 79.6%  1.9%  5.6% >LH[OLYNEXT Festival -LZ[P]HS 2014 17 11.8% 88.2%  0.0%  0.0% >OH[Norbergfestival ;OL -LZ[P]HS 2015 72 41.7%   56.9%  1.4%  0.0% ?PIHSIH -LZ[P]HS 2016 64 42.2%   46.9% 10.9%  0.0% AV\RV\[ 2012 74 16.2%   83.8%  0.0%  0.0% ;V[HS 2014  83  30.1%  62.7%  6.0% 1.2% Nördik Impakt 2015 44 2.3% 93.2% 4.5% 0.0% 2016 51 7.8% 84.3% 7.8% 0.0% 2014 50 6.0% 80.0% 14.0% 0.0% Novas Frequencias 2015 43 27.9% 65.1% 7.0% 0.0% 2016 39 17.9% 76.9% 5.1% 0.0% Nuits Sonores 2015 181 5.5% 87.3% 7.2% 0.0% 2016 157 10.2% 84.1% 5.7% 0.0% 2017 161 11.8% 83.9% 4.3% 0.0% 2013 167 7.2% 87.4% 5.4% 0.0% Off_Herzios 2014 17 17.6% 82.4% 0.0% 0.0% Oortreders 2016 9 0.0% 100.0% 0.0% 0.0% Open Music 2016 9 0.0% 88.9% 11.1% 0.0% Outlook 2016 61 4.9% 82.0% 6.6% 6.6% Pirate Station 2016 8 12.5% 87.5% 0.0% 0.0% Pitchfork Music Festival Chicago 2016 44 22.7% 63.6% 13.6% 0.0% Pop-Kultur 2016 71 33.8% 45.1% 19.7% 1.4% Poprevo 2015 17 5.9% 94.1% 0.0% 0.0% Primavera Sound 2015 197 10.2% 69.5% 15.7% 4.6% 2016 156 7.7% 83.3% 9.0% 0.0% 2017 192 13.5% 73.4% 13.0% 0.0% 2014 145 9.0% 74.5% 14.5% 2.1% Q-O2 festival the other the self 2015 8 50.0% 50.0% 0.0% 0.0% 2016 4 50.0% 25.0% 25.0% 0.0% Rainbow Disco Club 2016 23 4.3% 91.3% 4.3% 0.0% 2017 24 8.3% 91.7% 0.0% 0.0% Rewire 2016 61 24.6% 63.9% 11.5% 0.0% 2017 74 18.9% 68.9% 10.8% 1.4% Rokolectiv 2015 17 17.6% 76.5% 5.9% 0.0% 2016 16 31.3% 68.8% 0.0% 0.0% 2017 15 26.7% 73.3% 0.0% 0.0% Roskilde 2015 169 17.2% 73.4% 9.5% 0.0% Schiev 2015 19 21.1% 73.7% 5.3% 0.0% 2016 17 17.6% 64.7% 17.6% 0.0% SCOPE 2016 11 9.1% 81.8% 9.1% 0.0% Scopitone 2016 42 14.3% 81.0% 4.8% 0.0% She Makes Noise 2015 4 75.0% 0.0% 25.0% 0.0% 2016 6 100.0% 0.0% 0.0% 0.0% Sirilo Music Festival 2016 18 5.6% 94.4% 0.0% 0.0% Skanu Mezs 2015 27 25.9% 70.4% 3.7% 0.0% 2016 22 9.1% 81.8% 9.1% 0.0% SKIF 2016 17 17.6% 64.7% 17.6% 0.0% Sochi Music Weekend 2016 14 0.0% 100.0% 0.0% 0.0% Sónar 2015 123 13.8% 83.7% 2.4% 0.0% 2016 124 11.3% 83.9% 4.8% 0.0% 2017 126 21.4% 73.8% 4.8% 0.0% 2014 142 9.2% 83.1% 7.7% 0.0% 2013 64 3.1% 90.6% 6.3% 0.0% Sónar Sound Tokyo 2012 47 8.5% 89.4% 2.1% 0.0% Sonica 2016 9 0.0% 88.9% 11.1% 0.0% Sonne Mond Sterne 2015 91 5.5% 91.2% 3.3% 0.0% 2016 137 5.1% 90.5% 4.4% 0.0% Sonorities 2013 61 16.4% 82.0% 1.6% 0.0% Sound and Music 2012 30 10.0% 90.0% 0.0% 0.0% SPOT 2015 190 15.8% 66.8% 17.4% 0.0% 2012 121 16.5% 67.8% 15.7% 0.0% springfestival 2016 119 8.4% 89.9% 0.8% 0.8% 2017 47 8.5% 87.2% 4.3% 0.0% 2013 74 2.7% 90.5% 5.4% 1.4% Störung 2014 21 9.5% 90.5% 0.0% 0.0% Strichka Festival 2016 30 13.3% 83.3% 0.0% 3.3% 2017 28 17.9% 82.1% 0.0% 0.0% STRP BIËNNALE 2015 47 4.3% 87.2% 8.5% 0.0% 2017 64 35.9% 59.4% 4.7% 0.0% Supersonic Festival 2012 113 7.1% 88.5% 4.4% 0.0% Symbiosis Gathering 2016 16 12.5% 87.5% 0.0% 0.0% SynCussion 2017 12 33.3% 50.0% 16.7% 0.0% TaicoClub 2015 35 5.7% 80.0% 14.3% 0.0% 2016 33 12.1% 84.8% 3.0% 0.0% 2017 23 4.3% 82.6% 13.0% 0.0% 2012 25 0.0% 84.0% 16.0% 0.0% The Bunker x Dekmantel 2016 7 14.3% 85.7% 0.0% 0.0% The Chosen Few Djs 2016 27 11.1% 88.9% 0.0% 0.0% Time Warp 2015 40 7.5% 92.5% 0.0% 0.0% 2016 41 9.8% 90.2% 0.0% 0.0% 2017 41 12.2% 87.8% 0.0% 0.0% Time Warp Argentina 2015 16 0.0% 100.0% 0.0% 0.0% 2016 17 0.0% 100.0% 0.0% 0.0% Time Warp USA 2015 17 5.9% 88.2% 5.9% 0.0% TodaysArt 2015 38 15.8% 76.3% 7.9% 0.0% 2016 31 29.0% 58.1% 12.9% 0.0% 2012 198 6.1% 88.9% 5.1% 0.0% Together Festival 2015 71 14.1% 84.5% 1.4% 0.0% 2016 26 23.1% 76.9% 0.0% 0.0% 2017 32 21.9% 78.1% 0.0% 0.0% Transmission 2014 11 0.0% 100.0% 0.0% 0.0% Trenelenburg 2014 27 0.0% 85.2% 7.4% 7.4% Ultrahang Fest 2015 41 9.8% 82.9% 7.3% 0.0% 2016 37 24.3% 70.3% 5.4% 0.0% Unsound Adelaide 2015 12 8.3% 75.0% 16.7% 0.0% 2016 12 16.7% 66.7% 16.7% 0.0% 2012 9 0.0% 100.0% 0.0% 0.0% Unsound Krakow 2015 103 13.6% 78.6% 6.8% 1.0% 2016 114 24.6% 67.5% 7.9% 0.0% 2012 95 7.4% 87.4% 5.3% 0.0% Unsound Tbilisi 2012 15 6.7% 93.3% 0.0% 0.0% UP Festival 2014 14 0.0% 100.0% 0.0% 0.0% Urban Art Forms 2013 50 2.0% 94.0% 4.0% 0.0% VIA Festival 2015 49 42.9% 49.0% 8.2% 0.0% 2016 22 50.0% 40.9% 9.1% 0.0% Volt Festival 2012 18 27.8% 66.7% 5.6% 0.0% 2013 19 42.1% 57.9% 0.0% 0.0% Voltt Festival 2016 37 2.7% 94.6% 2.7% 0.0% Wax Treatment Africa Special 2012 31 0.0% 96.8% 3.2% 0.0% Weather Festival 2014 36 5.6% 94.4% 0.0% 0.0% What The Festival 2017 112 8.9% 86.6% 4.5% 0.0% Xibalba Festival 2016 17 23.5% 70.6% 5.9% 0.0% Zoukout 2014 30 16.7% 83.3% 0.0% 0.0% Total 18956 13.5% 78.9% 6.9% 0.7% 5\TILY VM -LTHSL 4HSL 4P_LK LLR       )VVT -LZ[P]HS       )VaHY             )74 -LZ[P]HS             )@!3(94        JV WVW       *HYUH]HS KL )HOPKVYm                   *HZP4PUP-LZ[       *OHUJL VM 9HPU       *SPJR                    *VTT\UPRL`       *VT\UP[L             *YVZZ[V^U 9LILSZ +H` ALYV             *YZZK -LZ[P]HS             *;4                                  *`UL[HY[       +H` MVY 5PNO[       +LJPILS -LZ[P]HS             +LRTHU[LS -LZ[P]HS (TZ[LYKHT                   +LRTHU[LS -LZ[P]HS :qV 7H\SV        +LRTHU[LS -LZ[P]HS ;VR`V (WYPS       +LRTHU[LS -LZ[P]HS ;VR`V 5V]LTILY        +LRTHU[LS 3VUKVU       +LRTHU[LS :LSLJ[VYZ       +LZLY[ /LHY[Z :WYPUN             +PY[` )PYK *HTWV\[             KVUH\MLZ[P]HS               +V\Y -LZ[P]HS       LFTH` -LZ[P]HS       ,RRVMLZ[P]HSLU       ,SLJ[YPJ +HPZ` *HYUP]HS 5L^ @VYR       ,SLJ[YPJ +HPZ` *HYUP]HS 6YSHUKV       ,SLJ[YPJ :WYPUN             ,SLJ[YPJ :WYPUN /\KKLYZÄLSK                         ,SLJ[YVU -LZ[P]HS                        ,SLJ[YVUPJH ,U (IYPS                          ,SL]H[L       ,\M~UPJ       -HZJPUVTH -LZ[P]HS       -SV^ -LZ[P]HS        -694 (YJVZHU[P                    MYHTL^VYRZ MLZ[P]HS      -YLL 9V[H[PVU      -\Y[OLY -\[\YL       -\ZPVU                    -\[\YL,]LY`[OPUN                    -@- -LZ[        .LVTL[Y` VM 5V^       .94  (RV\ZTH       .94  3P]L LSLJ[YVUPX\L       .\[LALP[ -LZ[P]HS             /LHY[ VM 5VPZL                   /VS` :OPW       /`WLYYLHSP[`       /`[L )LYSPU  5@, >LLR       0 3V]L ;LJOUV             0 3V]L ;LJOUV ,\YVWL             0*(: -LZ[P]HS       0NSVVMLZ[                    000 )PLUHS 4‚ZPJH /VQL       0UZVTUPH                     PU[VUHS                   RVU[Y(W\UR[      29(( -LZ[P]HS       2YHHR -LZ[P]HS             2YHRL -LZ[P]HS                          3,= -LZ[P]HS                   3,Z[YHU`       3HI`YPU[O       3HWZ\Z -LZ[P]HS                    3,4 -LZ[P]HS               3LU[L 2HIPUL[              3LZ -LTTLZ Z»LU 4vSLU[       3LZ :PLZ[LZ ,SLJ[YVUPX\LZ 7HYPZ            3LZ :PLZ[LZ ,SLJ[YVUPX\LZ ;V\SV\ZL           female:pressure       FACTS  2017  3PNO[UPUN PU H )V[[SL             3VZ[;OLVY`       3V]L :H]LZ [OL +H`       Number of  Female   Male  Mixed  Unidentified Festival Acts 3V]LIV_       3\UJOTLH[3hd Festival 2015  19 47.4% 4  7.4%   5.3%  0.0% 2016  23 47.8%  43.5%   8.7%  0.0% 4GB 2016  32 3.1%   96.9%  0.0%  0.0% 2017  46 0.0%  100.0%    0.0%  0.0% 4mJOmJ50 Years of Minimalism 2012  9 44.4% 55.6%  0.0%  0.0% 4(.5,;0*Abstrasension -LZ[P]HS 2016  25 0.0%  100.0%  0.0%  0.0% 4HPU[LUHU[Alfa Future People 2016  41 7.3%   92.7%   0.0%  0.0% Apparitions Festival 2016  32 3.1%    96.9%  0.0%  0.0% 4HTI` VU [OL )LHJO 2017  31 3.2%   93.5%  3.2%  0.0% Aquasella 2014  56 8.9%    89.3%  1.8%  0.0% 4HUHUHArs Electronica *\IH 2012 130 24.6%   73.1% 2.3%  0.0% 4LHR\ZTHAVA 2016  27 7.4%   85.2%  7.4%  0.0% 4LS[ 2017  44 15.9%  72.7%  4.5%  6.8% Awakenings Festival 2015 110 10.0%   86.4% 3.6%  0.0% 2016 103 6.8%   90.3%  2.9%  0.0% 2017 112 15.2%   83.0%  1.8%  0.0% 4,4Bass Coast 2016  17 17.6%  82.4%  0.0%  0.0% Berlin Atonal 2015  70 4.3%   90.0%  5.7%  0.0% 4L[HTVYWOVZL 2016  89 16.9% 75.3%  7.9%  0.0% 4PYH -LZ[P]HS 2014  67 3.0%    92.5% 4.5%  0.0% Berlin Festival 2012  87 13.8%  75.9% 10.3%   0.0% 4VKLYUBerlin Music -LZ[P]HS Week 2014 229 16.2% 72.1% 11.8%   0.0% 4VULNYVZBoom Festival 2012 171 2.9% 90.6%  2.3%  4.1% 4VVNMLZ[Bozar 2015  24 4.2%   83.3% 12.5%   0.0% 2016 26 15.4%   80.8% 3.8%  0.0% 4V]LTLU[BPM Festival +L[YVP[ 2015 152 5.3%   94.1%  0.7%  0.0% 2016 377 9.3%  88.9%  1.1%  0.8% BY:LARM 2013 134 21.6%   68.7%  9.7%  0.0% c/o pop 2012  82 17.1%   65.9% 17.1%   0.0% T\ZPJCarnaval \USPTP[LK de Bahidorá 2015  21 14.3%  76.2%  9.5%  0.0% T\ZPJ ^LK SPRL [V OLHY 2016  30 3.3%  80.0% 16.7%   0.0% 4\ZPRWYV[VRVSS 2017  36 16.7%   77.8%  5.6%  0.0% CasiMiniFest 2014  6 16.7%    66.7% 16.7%   0.0% 4\[LRChance )HYJLSVUH of Rain 2016  52 17.3% 76.9%  3.8%  1.9% Click 2015  34 17.6%  70.6%  5.9%  5.9% 2016  33 12.1%  57.6% 30.3%   0.0% 2017  17 29.4%   52.9% 17.6%   0.0% Communikey 2013  22 13.6%    81.8%  4.5%  0.0% 4\[LRComunite 4VU[YLHS 2016  34 17.6% 82.4%  0.0%  0.0% 2017  40 12.5%   85.0%  2.5%  0.0% Crosstown Rebels Day Zero 2016  12  8.3%  91.7%  0.0%  0.0% 2017  12   8.3%  91.7%  0.0%  0.0% 4\[LRCrssd Festival 4? 2016  41 7.3%  92.7%   0.0%  0.0% 2017  45  8.9%  86.7%  4.4%  0.0% 4`Z[LY`SHUKCTM 2015 146 22.6%   73.3%  4.1%  0.0% 5H[PVU VM .VUK^HUH 2016 187 32.1%   58.3%  9.6%  0.0% 5LVWVW -LZ[P]HS 2017  198 42.9% 53.5%  2.5%  1.0% 5L^ -VYTZ -LZ[P]HS 2014 101 14.9%   76.2%   8.9%  0.0% 2013  181  9.9%  84.5%  3.9%  1.7% 5,?;Cynetart -LZ[P]HS 2016 13 30.8%   53.8% 15.4%   0.0% 5VYILYNMLZ[P]HSDay for Night 2016 69 13.0%   75.4% 11.6%   0.0% Decibel Festival 2015 131 15.3%   84.0%  0.8%  0.0% 2014 145 12.4%   82.1%  5.5%  0.0% Dekmantel Festival Amsterdam 2015 103 4.9%  95.1%  0.0%  0.0% 5€YKPR 0TWHR[ 2016 23 13.0% 87.0%  0.0%  0.0% 2014 80 2.5% 96.3%  1.3%  0.0% 18 19 Dekmantel Festival São Paulo 2017 54 20.4%  79.6%  0.0%  0.0% 5V]HZDekmantel -YLX\LUJPHZ Festival Tokyo April 2016 33 3.0%  97.0%  0.0%  0.0% Dekmantel Festival Tokyo November2016 16 18.8%   81.3%  0.0%  0.0% 5\P[ZDekmantel :VUVYLZ London 2016 10 0.0%  100.0%   0.0%  0.0% Dekmantel Selectors 2016  71 7.0%   93.0%  0.0%  0.0% Desert Hearts Spring 2016 37  5.4%  91.9%  0.0%  2.7% 2017 41  4.9%  92.7%  2.4%  0.0% 6ɈF/LYaPVZDirty Bird Campout 2015 35  5.7%  88.6%  5.7%  0.0% 6VY[YLKLYZ 2016 35 2.9%  94.3%  2.9%  0.0% 6WLUdonaufestival 4\ZPJ 2015 39 12.8% 69.2%  17.9%   0.0% 6\[SVVR 2016 49 8.2%  71.4% 18.4%   2.0% 7PYH[LDour Festival :[H[PVU 2012 232  2.2%  90.5%  7.3%  0.0% 7P[JOMVYRe_may Festival 4\ZPJ -LZ[P]HS *OPJHNV 2012 18 50.0%   5.6% 44.4%   0.0% 7VW2\S[\YEkkofestivalen 2012 29 3.4%  86.2% 10.3%    0.0% 7VWYL]VElectric Daisy Carnival New York 2012 81 7.4% 87.7%  4.9%  0.0% 7YPTH]LYHElectric Daisy :V\UK Carnival Orlando 2012 57 1.8%   94.7%  3.5%  0.0% Electric Spring 2016 33  30.3%  54.5%  15.2%   0.0% 2017 13 53.8%   46.2% 0.0%  0.0% Electric Spring Huddersfield 2015 16  25.0%  62.5%  0.0% 12.5%  86 MLZ[P]HS [OL V[OLY [OL ZLSM 2016 20 10.0%  50.0% 40.0%   0.0% 2017 14 21.4%  64.3% 14.3%   0.0% 9HPUIV^ +PZJV *S\I 2013 15 6.7% 93.3%  0.0%  0.0% Electron Festival 2016 95 21.1%  74.7%  4.2%  0.0% 9L^PYL 2017 71 5.6%  87.3%  4.2%  2.8% 2014 99 12.1%   82.8%   5.1%  0.0% 9VRVSLJ[P] 2013 97  6.2%  87.6%  6.2%  0.0% Electronica En Abril 2015 13  7.7%   84.6%  7.7%  0.0% 2016 12  0.0% 100.0%   0.0%  0.0% 9VZRPSKL 2017 10 30.0%   70.0% 0.0%  0.0% :JOPL] 2014 16 25.0%   68.8%  6.3%  0.0% Elevate 2016 44 13.6%  84.1%  2.3%  0.0% :*67,Eufònic 2014 14 14.3%   71.4% 14.3%   0.0% :JVWP[VULFascinoma Festival 2016 41  7.3%  90.2%  2.4%  0.0% :OLFlow 4HRLZ Festival 5VPZL 2012 133 5.3% 76.7%  18.0%   0.0% FORM Arcosanti 2015 26  26.9% 57.7%  15.4%   0.0% :PYPSV 4\ZPJ -LZ[P]HS 2016  32 21.9% 71.9%  6.3%  0.0% :RHU\ 4LaZ 2017 37 29.7%   62.2%  8.1%  0.0% frameworks festival 2013 9 11.1%   88.9% 0.0%  0.0% :20-Free Rotation 2014 88 13.6%  75.0%  1.1% 10.2%  :VJOPFurther 4\ZPJ Future >LLRLUK 2016 61 6.6%  83.6%  9.8%  0.0% :}UHYFusion 2015 552 10.9% 71.0% 14.9%   3.3% 2016 726 10.9%   72.7% 14.0%   2.3% 2012 251  9.6%  69.3%  21.1%  0.0% FutureEverything 2015 27 11.1%   81.5%  3.7%  3.7% 2016 21 19.0%   66.7%  14.3%  0.0% :}UHY :V\UK ;VR`V 2013 22 4.5%  90.9%   4.5%  0.0% :VUPJHFYF Fest 2016 52 15.4% 78.8%   5.8%  0.0% :VUULGeometry 4VUK of Now :[LYUL 2017 30 6.7% 80.0%  13.3%  0.0% GRM - Akousma 2017 10 20.0%  80.0%  0.0%  0.0% :VUVYP[PLZGRM - Live electronique 2017 10  0.0%  90.0%  10.0%  0.0% :V\UKGuteZeit HUK Festival 4\ZPJ 2016 10  0.0% 100.0%   0.0%  0.0% :76; 2017 14  0.0% 100.0%  0.0%  0.0% Heart of Noise 2015 28   7.1%  89.3%  3.6%  0.0% ZWYPUNMLZ[P]HS 2016 26 7.7% 84.6%  7.7%  0.0% 2017 25 24.0%  76.0%   0.0%  0.0% Holy Ship 2017 142 9.2%   89.4%  1.4%  0.0% :[€Y\UNHyperreality 2017 78 47.4%  44.9%  7.7%  0.0% :[YPJORHHyte Berlin -LZ[P]HS - NYE Week 2014 28  7.1%  92.9%  0.0%  0.0% I Love Techno 2012  37 0.0%  97.3%  2.7%  0.0% :;97 )0Î55(3, 2014 36 5.6%  91.7%  2.8%  0.0% I Love Techno Europe 2016 21 0.0% 100.0%    0.0%  0.0% :\WLYZVUPJ -LZ[P]HS 2014 24 0.0%  100.0%   0.0%  0.0% :`TIPVZPZICAS Festival .H[OLYPUN 2015 35 17.1%   74.3%  8.6%  0.0% :`U*\ZZPVUIgloofest 2015 118 16.9%  79.7%  1.7%  1.7% ;HPJV*S\I 2016 109 35.8% 60.6%  3.7%  0.0% 2017 71 23.9% 70.4%  5.6%  0.0% III Bienal Música Hoje 2015 73  8.2%  91.8%  0.0%  0.0% Insomnia 2015 34 26.5% 67.6%  5.9%  0.0% ;OL )\URLY _ +LRTHU[LS 2016 26 30.8%  61.5%  7.7%  0.0% ;OL *OVZLU -L^ +QZ 2014 22 18.2%   59.1%  22.7%  0.0% ;PTLintonal >HYW 2015 26 26.9% 61.5%  11.5%  0.0% 2016 38 31.6%  55.3%  10.5%  2.6% 2017 41 51.2%   41.5%  7.3%  0.0% ;PTLkontrA2punkt >HYW (YNLU[PUH 2014 9 0.0%  66.7%  33.3%  0.0% KRAA! Festival 2014 17 5.9%  88.2%  5.9%  0.0% ;PTLKraak >HYW Festival <:( 2015 13 15.4%  61.5%  23.1%  0.0% ;VKH`Z(Y[ 2016 22  4.5%  81.8%  13.6%  0.0% Krake Festival 2015  48  18.8%  70.8%  10.4%  0.0% 2016 49 16.3%   81.6%   2.0%  0.0% ;VNL[OLY -LZ[P]HS 2014 42  14.3%  83.3%  2.4%  0.0% 2013 37  10.8%  89.2%  0.0%  0.0% L.E.V. Festival 2015 20  5.0%   95.0%  0.0%  0.0% ;YHUZTPZZPVU 2016 30 13.3%  86.7%  0.0%  0.0% ;YLULSLUI\YN 2014 21 4.8%  85.7%  9.5%  0.0% H_ ;YLH[TLU[ (MYPJH :WLJPHS 2017 105 13.3% 72.4%  14.3%  0.0% >LH[OLYLostTheory -LZ[P]HS 2013 126 1.6% 98.4%  0.0%  0.0% >OH[Love Saves ;OL -LZ[P]HS the Day 2016 124 4.0%   83.9%  10.5%  1.6% ?PIHSIH -LZ[P]HS 2017 101 13.9%   80.2%  5.9%  0.0% AV\RV\[Lovebox 2016 166 11.4%   75.9%  7.2%  5.4% ;V[HSLunchmeat 2015  36  27.8%    72.2%  0.0%  0.0% 2016 38 26.3% 68.4% 5.3% 0.0% 2012 22 13.6% 68.2% 18.2% 0.0% 2014 38 7.9% 78.9% 10.5% 2.6% Máchác 2014 64 6.3% 92.2% 1.6% 0.0% MAGNETIC Festival 2014 10 0.0% 100.0% 0.0% 0.0% Maintenant 2015 29 31.0% 69.0% 0.0% 0.0% 2016 37 29.7% 64.9% 5.4% 0.0% Mamby on the Beach 2016 42 14.3% 81.0% 4.8% 0.0% 2017 61 16.4% 78.7% 4.9% 0.0% Manana Cuba 2016 32 9.4% 81.3% 9.4% 0.0% Meakusma 2016 66 91.0% 84.8% 9.1% 0.0% Melt! 2015 120 10.8% 80.8% 8.3% 0.0% 2016 121 14.9% 80.2% 5.0% 0.0% 2012 59 8.5% 81.4% 10.2% 0.0% 2014 72 9.7% 80.6% 9.7% 0.0% MEM 2015 23 26.1% 43.5% 30.4% 0.0% 2016 17 41.2% 52.9% 5.9% 0.0% Metamorphose 2012 20 5.0% 90.0% 5.0% 0.0% Mira Festival 2016 32 12.5% 78.1% 9.4% 0.0% 2014 50 6.0% 88.0% 6.0% 0.0% Modern Festival 2016 21 4.8% 95.2% 0.0% 0.0% Monegros 2014 41 7.3% 92.7% 0.0% 0.0% Moogfest 2016 114 25.4% 70.2% 4.4% 0.0% 2017 88 34.1% 56.8% 9.1% 0.0% Movement Detroit 2015 143 7.0% 90.9% 0.7% 1.4% 2016 124 12.9% 83.9% 1.6% 1.6% 2017 113 9.7% 85.8% 4.4% 0.0% 2013 77 10.4% 88.3% 1.3% 0.0% music unlimited 2012 28 21.4% 64.3% 14.3% 0.0% music we'd like to hear 2016 10 10.0% 20.0% 70.0% 0.0% Musikprotokoll 2015 69 23.2% 72.5% 4.3% 0.0% 2016 51 23.5% 68.6% 7.8% 0.0% Mutek Barcelona 2015 17 11.8% 76.5% 11.8% 0.0% 2016 31 12.9% 87.1% 0.0% 0.0% 2017 25 28.0% 64.0% 8.0% 0.0% 2014 27 7.4% 88.9% 3.7% 0.0% 2013 24 4.2% 91.7% 4.2% 0.0% Mutek Montreal 2015 77 10.4% 80.5% 1.3% 7.8% 2016 81 18.5% 72.8% 8.6% 0.0% 2012 56 7.1% 82.1% 10.7% 0.0% 2014 104 7.7% 86.5% 5.8% 0.0% Mutek MX 2015 49 8.2% 89.8% 2.0% 0.0% 2016 64 12.5% 81.3% 6.3% 0.0% Mysteryland 2016 109 10.1% 85.3% 1.8% 2.8% Nation of Gondwana 2014 36 11.1% 83.3% 5.6% 0.0% Neopop Festival 2012 48 6.3% 93.8% 0.0% 0.0% New Forms Festival 2016 38 28.9% 65.8% 5.3% 0.0% 2014 54 13.0% 79.6% 1.9% 5.6% NEXT Festival 2014 17 11.8% 88.2% 0.0% 0.0% Norbergfestival 2015 72 41.7% 56.9% 1.4% 0.0% 2016 64 42.2% 46.9% 10.9% 0.0% 2012 74 16.2% 83.8% 0.0% 0.0% 2014 83 30.1% 62.7% 6.0% 1.2% Nördik Impakt 2015 44 2.3% 93.2% 4.5% 0.0% 2016 51 7.8% 84.3% 7.8% 0.0% 2014 50 6.0% 80.0% 14.0% 0.0% Novas Frequencias 2015 43 27.9% 65.1% 7.0% 0.0% 2016 39 17.9% 76.9% 5.1% 0.0% Nuits Sonores 2015 181 5.5% 87.3% 7.2% 0.0% 2016 157 10.2% 84.1% 5.7% 0.0% 2017 161 11.8% 83.9% 4.3% 0.0% 2013 167 7.2% 87.4% 5.4% 0.0% Off_Herzios 2014 17 17.6% 82.4% 0.0% 0.0% Oortreders 2016 9 0.0% 100.0% 0.0% 0.0% Open Music 2016 9 0.0% 88.9% 11.1% 0.0% Outlook 2016 61 4.9% 82.0% 6.6% 6.6% Pirate Station 2016 8 12.5% 87.5% 0.0% 0.0% Pitchfork Music Festival Chicago 2016 44 22.7% 63.6% 13.6% 0.0% Pop-Kultur 2016 71 33.8% 45.1% 19.7% 1.4% Poprevo 2015 17 5.9% 94.1% 0.0% 0.0% Primavera Sound 2015 197 10.2% 69.5% 15.7% 4.6% 2016 156 7.7% 83.3% 9.0% 0.0% 2017 192 13.5% 73.4% 13.0% 0.0% 2014 145 9.0% 74.5% 14.5% 2.1% Q-O2 festival the other the self 2015 8 50.0% 50.0% 0.0% 0.0% 2016 4 50.0% 25.0% 25.0% 0.0% Rainbow Disco Club 2016 23 4.3% 91.3% 4.3% 0.0% 2017 24 8.3% 91.7% 0.0% 0.0% Rewire 2016 61 24.6% 63.9% 11.5% 0.0% 2017 74 18.9% 68.9% 10.8% 1.4% Rokolectiv 2015 17 17.6% 76.5% 5.9% 0.0% 2016 16 31.3% 68.8% 0.0% 0.0% 2017 15 26.7% 73.3% 0.0% 0.0% Roskilde 2015 169 17.2% 73.4% 9.5% 0.0% Schiev 2015 19 21.1% 73.7% 5.3% 0.0% 2016 17 17.6% 64.7% 17.6% 0.0% SCOPE 2016 11 9.1% 81.8% 9.1% 0.0% Scopitone 2016 42 14.3% 81.0% 4.8% 0.0% She Makes Noise 2015 4 75.0% 0.0% 25.0% 0.0% 2016 6 100.0% 0.0% 0.0% 0.0% Sirilo Music Festival 2016 18 5.6% 94.4% 0.0% 0.0% Skanu Mezs 2015 27 25.9% 70.4% 3.7% 0.0% 2016 22 9.1% 81.8% 9.1% 0.0% SKIF 2016 17 17.6% 64.7% 17.6% 0.0% Sochi Music Weekend 2016 14 0.0% 100.0% 0.0% 0.0% Sónar 2015 123 13.8% 83.7% 2.4% 0.0% 2016 124 11.3% 83.9% 4.8% 0.0% 2017 126 21.4% 73.8% 4.8% 0.0% 2014 142 9.2% 83.1% 7.7% 0.0% 2013 64 3.1% 90.6% 6.3% 0.0% Sónar Sound Tokyo 2012 47 8.5% 89.4% 2.1% 0.0% Sonica 2016 9 0.0% 88.9% 11.1% 0.0% Sonne Mond Sterne 2015 91 5.5% 91.2% 3.3% 0.0% 2016 137 5.1% 90.5% 4.4% 0.0% Sonorities 2013 61 16.4% 82.0% 1.6% 0.0% Sound and Music 2012 30 10.0% 90.0% 0.0% 0.0% SPOT 2015 190 15.8% 66.8% 17.4% 0.0% 2012 121 16.5% 67.8% 15.7% 0.0% springfestival 2016 119 8.4% 89.9% 0.8% 0.8% 2017 47 8.5% 87.2% 4.3% 0.0% 2013 74 2.7% 90.5% 5.4% 1.4% Störung 2014 21 9.5% 90.5% 0.0% 0.0% Strichka Festival 2016 30 13.3% 83.3% 0.0% 3.3% 2017 28 17.9% 82.1% 0.0% 0.0% STRP BIËNNALE 2015 47 4.3% 87.2% 8.5% 0.0% 2017 64 35.9% 59.4% 4.7% 0.0% Supersonic Festival 2012 113 7.1% 88.5% 4.4% 0.0% Symbiosis Gathering 2016 16 12.5% 87.5% 0.0% 0.0% SynCussion 2017 12 33.3% 50.0% 16.7% 0.0% TaicoClub 2015 35 5.7% 80.0% 14.3% 0.0% 2016 33 12.1% 84.8% 3.0% 0.0% 2017 23 4.3% 82.6% 13.0% 0.0% 2012 25 0.0% 84.0% 16.0% 0.0% The Bunker x Dekmantel 2016 7 14.3% 85.7% 0.0% 0.0% The Chosen Few Djs 2016 27 11.1% 88.9% 0.0% 0.0% Time Warp 2015 40 7.5% 92.5% 0.0% 0.0% 2016 41 9.8% 90.2% 0.0% 0.0% 2017 41 12.2% 87.8% 0.0% 0.0% Time Warp Argentina 2015 16 0.0% 100.0% 0.0% 0.0% 2016 17 0.0% 100.0% 0.0% 0.0% Time Warp USA 2015 17 5.9% 88.2% 5.9% 0.0% TodaysArt 2015 38 15.8% 76.3% 7.9% 0.0% 2016 31 29.0% 58.1% 12.9% 0.0% 2012 198 6.1% 88.9% 5.1% 0.0% Together Festival 2015 71 14.1% 84.5% 1.4% 0.0% 2016 26 23.1% 76.9% 0.0% 0.0% 2017 32 21.9% 78.1% 0.0% 0.0% Transmission 2014 11 0.0% 100.0% 0.0% 0.0% Trenelenburg 2014 27 0.0% 85.2% 7.4% 7.4% Ultrahang Fest 2015 41 9.8% 82.9% 7.3% 0.0% 2016 37 24.3% 70.3% 5.4% 0.0% Unsound Adelaide 2015 12 8.3% 75.0% 16.7% 0.0% 2016 12 16.7% 66.7% 16.7% 0.0% 2012 9 0.0% 100.0% 0.0% 0.0% Unsound Krakow 2015 103 13.6% 78.6% 6.8% 1.0% 2016 114 24.6% 67.5% 7.9% 0.0% 2012 95 7.4% 87.4% 5.3% 0.0% Unsound Tbilisi 2012 15 6.7% 93.3% 0.0% 0.0% UP Festival 2014 14 0.0% 100.0% 0.0% 0.0% Urban Art Forms 2013 50 2.0% 94.0% 4.0% 0.0% VIA Festival 2015 49 42.9% 49.0% 8.2% 0.0% 2016 22 50.0% 40.9% 9.1% 0.0% Volt Festival 2012 18 27.8% 66.7% 5.6% 0.0% 2013 19 42.1% 57.9% 0.0% 0.0% Voltt Festival 2016 37 2.7% 94.6% 2.7% 0.0% Wax Treatment Africa Special 2012 31 0.0% 96.8% 3.2% 0.0% Weather Festival 2014 36 5.6% 94.4% 0.0% 0.0% What The Festival 2017 112 8.9% 86.6% 4.5% 0.0% Xibalba Festival 2016 17 23.5% 70.6% 5.9% 0.0% Zoukout 2014 30 16.7% 83.3% 0.0% 0.0% Total 18956 13.5% 78.9% 6.9% 0.7% 5\TILY VM -LTHSL 4HSL 4P_LK LLR       )VVT -LZ[P]HS       )VaHY             )74 -LZ[P]HS             )@!3(94        JV WVW       *HYUH]HS KL )HOPKVYm                   *HZP4PUP-LZ[       *OHUJL VM 9HPU       *SPJR                    *VTT\UPRL`       *VT\UP[L             *YVZZ[V^U 9LILSZ +H` ALYV             *YZZK -LZ[P]HS             *;4                                  *`UL[HY[       +H` MVY 5PNO[       +LJPILS -LZ[P]HS             +LRTHU[LS -LZ[P]HS (TZ[LYKHT                   +LRTHU[LS -LZ[P]HS :qV 7H\SV        +LRTHU[LS -LZ[P]HS ;VR`V (WYPS       +LRTHU[LS -LZ[P]HS ;VR`V 5V]LTILY        +LRTHU[LS 3VUKVU       +LRTHU[LS :LSLJ[VYZ       +LZLY[ /LHY[Z :WYPUN             +PY[` )PYK *HTWV\[             KVUH\MLZ[P]HS               +V\Y -LZ[P]HS       LFTH` -LZ[P]HS       ,RRVMLZ[P]HSLU       ,SLJ[YPJ +HPZ` *HYUP]HS 5L^ @VYR       ,SLJ[YPJ +HPZ` *HYUP]HS 6YSHUKV       ,SLJ[YPJ :WYPUN             ,SLJ[YPJ :WYPUN /\KKLYZÄLSK                         ,SLJ[YVU -LZ[P]HS                        ,SLJ[YVUPJH ,U (IYPS                          ,SL]H[L       ,\M~UPJ       -HZJPUVTH -LZ[P]HS       -SV^ -LZ[P]HS        -694 (YJVZHU[P                    MYHTL^VYRZ MLZ[P]HS      -YLL 9V[H[PVU      -\Y[OLY -\[\YL       -\ZPVU                    -\[\YL,]LY`[OPUN                    -@- -LZ[        .LVTL[Y` VM 5V^       .94  (RV\ZTH       .94  3P]L LSLJ[YVUPX\L       .\[LALP[ -LZ[P]HS             /LHY[ VM 5VPZL                   /VS` :OPW       /`WLYYLHSP[`       /`[L )LYSPU  5@, >LLR       0 3V]L ;LJOUV             0 3V]L ;LJOUV ,\YVWL             0*(: -LZ[P]HS       0NSVVMLZ[                    000 )PLUHS 4‚ZPJH /VQL       0UZVTUPH                     PU[VUHS                   RVU[Y(W\UR[      29(( -LZ[P]HS       2YHHR -LZ[P]HS             2YHRL -LZ[P]HS                          3,= -LZ[P]HS                   3,Z[YHU`       3HI`YPU[O       3HWZ\Z -LZ[P]HS                    3,4 -LZ[P]HS               3LU[L 2HIPUL[              3LZ -LTTLZ Z»LU 4vSLU[       3LZ :PLZ[LZ ,SLJ[YVUPX\LZ 7HYPZ            3LZ :PLZ[LZ ,SLJ[YVUPX\LZ ;V\SV\ZL                   3PNO[UPUN PU H )V[[SL             3VZ[;OLVY`       3V]L :H]LZ [OL +H`             3V]LIV_       3\UJOTLH[                             4mJOmJ       4(.5,;0* -LZ[P]HS       4HPU[LUHU[               4HTI` VU [OL )LHJO              4HUHUH *\IH       4LHR\ZTH       4LS[                         4,4             4L[HTVYWOVZL       4PYH -LZ[P]HS              4VKLYU -LZ[P]HS       4VULNYVZ       4VVNMLZ[            4V]LTLU[ +L[YVP[                         T\ZPJ \USPTP[LK       T\ZPJ ^LK SPRL [V OLHY       4\ZPRWYV[VRVSS              4\[LR )HYJLSVUH                                4\[LR 4VU[YLHS                          4\[LR 4?             4`Z[LY`SHUK       5H[PVU VM .VUK^HUH       5LVWVW -LZ[P]HS     female:pressure   5L^ -VYTZ -LZ[P]HS      FACTS  2017         5,?; -LZ[P]HS       5VYILYNMLZ[P]HS             Number of Festival  Female  Male  Mixed  Unidentified  Acts     5€YKPR3hd Festival 0TWHR[ 2015  19 47.4% 4 7.4%  5.3%  0.0% 2016  23 47.8% 43.5%  8.7%  0.0% 4GB 2016  32 3.1%  96.9%  0.0%  0.0% 5V]HZ -YLX\LUJPHZ 2017  46 0.0%  100.0%   0.0%  0.0% 50 Years of Minimalism 2012  9 44.4%   55.6%  0.0%  0.0% 5\P[ZAbstrasension :VUVYLZ 2016  25 0.0%  100.0%   0.0%  0.0% Alfa Future People 2016   41 7.3%   92.7%  0.0%  0.0% Apparitions Festival 2016  32 3.1%   96.9%  0.0%  0.0% 2017  31 3.2%   93.5%  3.2%  0.0% 6ɈF/LYaPVZAquasella 2014  56 8.9%   89.3%  1.8%  0.0% 6VY[YLKLYZArs Electronica 2012 130 24.6%  73.1%  2.3%  0.0% 6WLUAVA 4\ZPJ 2016 27 7.4% 85.2%   7.4%  0.0% 6\[SVVR 2017  44 15.9%  72.7%  4.5%  6.8% 7PYH[LAwakenings :[H[PVU Festival 2015 110 10.0%  86.4%  3.6%  0.0% 7P[JOMVYR 4\ZPJ -LZ[P]HS *OPJHNV 2016 103 6.8%  90.3%  2.9%  0.0% 7VW2\S[\Y 2017 112 15.2%  83.0%  1.8%   0.0% 7VWYL]VBass Coast 2016  17 17.6% 82.4%  0.0%  0.0% 7YPTH]LYHBerlin Atonal :V\UK 2015  70 4.3%   90.0%  5.7%  0.0% 2016  89 16.9%  75.3%   7.9%  0.0% 2014  67 3.0%   92.5% 4.5%  0.0% Berlin Festival 2012  87 13.8%  75.9% 10.3%   0.0% 86Berlin MLZ[P]HSMusic Week [OL V[OLY [OL ZLSM 2014 229 16.2%  72.1% 11.8%   0.0% Boom Festival 2012 171 2.9%  90.6%  2.3%  4.1% 9HPUIV^Bozar +PZJV *S\I 2015  24 4.2% 83.3% 12.5%   0.0% 2016  26 15.4%  80.8%  3.8%  0.0% 9L^PYLBPM Festival 2015 152 5.3%  94.1%  0.7%  0.0% 2016 377 9.3%   88.9%   1.1%  0.8% 9VRVSLJ[P]BY:LARM 2013 134 21.6%   68.7%  9.7%  0.0% c/o pop 2012  82 17.1%    65.9% 17.1%   0.0% Carnaval de Bahidorá 2015  21 14.3%   76.2%  9.5%  0.0% 9VZRPSKL 2016  30 3.3%   80.0% 16.7%   0.0% :JOPL] 2017  36 16.7%   77.8%  5.6%  0.0% CasiMiniFest 2014  6 16.7%  66.7% 16.7%   0.0% :*67,Chance of Rain 2016  52 17.3%   76.9% 3.8%  1.9% :JVWP[VULClick 2015  34 17.6%   70.6%  5.9%  5.9% :OL 4HRLZ 5VPZL 2016  33 12.1% 57.6%  30.3%   0.0% 2017  17  29.4% 52.9%  17.6%   0.0% :PYPSVCommunikey 4\ZPJ -LZ[P]HS 2013  22 13.6% 81.8%  4.5%  0.0% :RHU\Comunite 4LaZ 2016  34 17.6%   82.4%  0.0%  0.0% 2017  40 12.5%   85.0% 2.5%  0.0% :20-Crosstown Rebels Day Zero 2016  12 8.3%  91.7%  0.0%  0.0% :VJOP 4\ZPJ >LLRLUK 2017  12 8.3%  91.7%  0.0%  0.0% :}UHYCrssd Festival 2016  41 7.3% 92.7%  0.0%  0.0% 2017  45 8.9%   86.7%  4.4%  0.0% CTM 2015 146 22.6%   73.3%  4.1%  0.0% 2016 187 32.1%   58.3%  9.6%  0.0% 2017 198 42.9%   53.5%  2.5%  1.0% :}UHY :V\UK ;VR`V 2014 101 14.9%  76.2%   8.9%  0.0% :VUPJH 2013 181 9.9% 84.5%   3.9%  1.7% :VUULCynetart 4VUK :[LYUL 2016 13 30.8% 53.8% 15.4%   0.0% Day for Night 2016 69 13.0%  75.4% 11.6%   0.0% :VUVYP[PLZDecibel Festival 2015 131 15.3%   84.0%  0.8%  0.0% :V\UK HUK 4\ZPJ 2014 145 12.4%  82.1%  5.5%  0.0% :76;Dekmantel Festival Amsterdam 2015 103  4.9%  95.1%  0.0%  0.0% 2016 23  13.0%  87.0%  0.0%  0.0% ZWYPUNMLZ[P]HS 2014 80 2.5% 96.3%  1.3%  0.0% Dekmantel Festival São Paulo 2017 54 20.4%  79.6%   0.0%  0.0% 20 Dekmantel Festival Tokyo April 2016 33 3.0%   97.0%  0.0%  0.0% :[€Y\UNDekmantel Festival Tokyo November2016 16 18.8%  81.3%  0.0%  0.0% :[YPJORHDekmantel -LZ[P]HS London 2016 10  0.0% 100.0%   0.0%  0.0% Dekmantel Selectors 2016  71 7.0%  93.0%  0.0%  0.0% :;97Desert )0Î55(3, Hearts Spring 2016 37 5.4%  91.9%  0.0%  2.7% 2017 41 4.9%  92.7%   2.4%  0.0% :\WLYZVUPJDirty Bird Campout -LZ[P]HS 2015 35 5.7%   88.6%  5.7%  0.0% :`TIPVZPZ .H[OLYPUN 2016 35  2.9%  94.3%  2.9%  0.0% :`U*\ZZPVUdonaufestival 2015 39 12.8%  69.2% 17.9%   0.0% ;HPJV*S\I 2016 49 8.2% 71.4% 18.4%   2.0% Dour Festival 2012 232 2.2% 90.5%  7.3%  0.0% e_may Festival 2012 18 50.0%   5.6% 44.4%   0.0% Ekkofestivalen 2012 29 3.4% 86.2% 10.3%   0.0% ;OLElectric )\URLY Daisy _ +LRTHU[LSCarnival New York 2012 81  7.4%  87.7%  4.9%  0.0% ;OLElectric *OVZLU Daisy -L^ Carnival +QZ Orlando 2012 57  1.8%  94.7%  3.5%  0.0% ;PTLElectric >HYW Spring 2016 33 30.3% 54.5% 15.2%   0.0% 2017 13 53.8%  46.2%  0.0%  0.0% Electric Spring Huddersfield 2015 16 25.0%   62.5%  0.0% 12.5%  ;PTL >HYW (YNLU[PUH 2016 20 10.0%  50.0% 40.0%   0.0% 2017 14 21.4%  64.3% 14.3%   0.0% ;PTL >HYW <:( 2013 15 6.7%  93.3%  0.0%  0.0% ;VKH`Z(Y[Electron Festival 2016 95 21.1%   74.7%  4.2%  0.0% 2017  71  5.6%  87.3%  4.2%  2.8% 2014 99 12.1%   82.8%   5.1%  0.0% ;VNL[OLY -LZ[P]HS 2013 97  6.2%  87.6%  6.2%  0.0% Electronica En Abril 2015 13  7.7%  84.6%  7.7%  0.0% 2016 12 0.0% 100.0%    0.0%  0.0% ;YHUZTPZZPVU 2017 10 30.0%  70.0%  0.0%  0.0% ;YLULSLUI\YN 2014 16 25.0%  68.8%  6.3%  0.0% H_FYF Fest ;YLH[TLU[ (MYPJH :WLJPHS 2016 52 15.4% 78.8%  5.8%  0.0% >LH[OLYGeometry -LZ[P]HS of Now 2017 30 6.7% 80.0%  13.3%  0.0% >OH[GRM ;OL- Akousma -LZ[P]HS 2017 10 20.0%   80.0%  0.0%  0.0% ?PIHSIHGRM - Live -LZ[P]HS electronique 2017 10 0.0%   90.0%  10.0%  0.0% AV\RV\[GuteZeit Festival 2016 10 0.0%  100.0%   0.0%  0.0% ;V[HS 2017  14  0.0%  100.0%    0.0%  0.0% Heart of Noise 2015 28 7.1% 89.3% 3.6% 0.0% 2016 26 7.7% 84.6% 7.7% 0.0% 2017 25 24.0% 76.0% 0.0% 0.0% Holy Ship 2017 142 9.2% 89.4% 1.4% 0.0% Hyperreality 2017 78 47.4% 44.9% 7.7% 0.0% Hyte Berlin - NYE Week 2014 28 7.1% 92.9% 0.0% 0.0% I Love Techno 2012 37 0.0% 97.3% 2.7% 0.0% 2014 36 5.6% 91.7% 2.8% 0.0% I Love Techno Europe 2016 21 0.0% 100.0% 0.0% 0.0% 2014 24 0.0% 100.0% 0.0% 0.0% ICAS Festival 2015 35 17.1% 74.3% 8.6% 0.0% Igloofest 2015 118 16.9% 79.7% 1.7% 1.7% 2016 109 35.8% 60.6% 3.7% 0.0% 2017 71 23.9% 70.4% 5.6% 0.0% III Bienal Música Hoje 2015 73 8.2% 91.8% 0.0% 0.0% Insomnia 2015 34 26.5% 67.6% 5.9% 0.0% 2016 26 30.8% 61.5% 7.7% 0.0% 2014 22 18.2% 59.1% 22.7% 0.0% intonal 2015 26 26.9% 61.5% 11.5% 0.0% 2016 38 31.6% 55.3% 10.5% 2.6% 2017 41 51.2% 41.5% 7.3% 0.0% kontrA2punkt 2014 9 0.0% 66.7% 33.3% 0.0% KRAA! Festival 2014 17 5.9% 88.2% 5.9% 0.0% Kraak Festival 2015 13 15.4% 61.5% 23.1% 0.0% 2016 22 4.5% 81.8% 13.6% 0.0% Krake Festival 2015 48 18.8% 70.8% 10.4% 0.0% 2016 49 16.3% 81.6% 2.0% 0.0% 2014 42 14.3% 83.3% 2.4% 0.0% 2013 37 10.8% 89.2% 0.0% 0.0% L.E.V. Festival 2015 20 5.0% 95.0% 0.0% 0.0% 2016 30 13.3% 86.7% 0.0% 0.0% 2014 21 4.8% 85.7% 9.5% 0.0% L'Estrany 2014 12 8.3% 75.0% 16.7% 0.0% Labyrinth 2015 16 0.0% 100.0% 0.0% 0.0% Lapsus Festival 2016 17 17.6% 82.4% 0.0% 0.0% 2017 11 18.2% 81.8% 0.0% 0.0% 2014 15 6.7% 93.3% 0.0% 0.0% LEM Festival 2015 22 9.1% 68.2% 22.7% 0.0% 2016 29 6.9% 79.3% 13.8% 0.0% Lente Kabinet 2016 29 3.4% 93.1% 3.4% 0.0% 2017 26 19.2% 76.9% 3.8% 0.0% Les Femmes s’en Mêlent 2013 26 84.6% 0.0% 15.4% 0.0% Les Siestes Electroniques Paris 2015 10 10.0% 90.0% 0.0% 0.0% 2016 8 0.0% 75.0% 25.0% 0.0% Les Siestes Electroniques Toulouse 2015 12 25.0% 66.7% 8.3% 0.0% 2016 13 7.7% 84.6% 7.7% 0.0% 2014 12 16.7% 66.7% 16.7% 0.0% Lightning in a Bottle 2016 72 11.1% 80.6% 8.3% 0.0% 2017 105 13.3% 72.4% 14.3% 0.0% LostTheory 2013 126 1.6% 98.4% 0.0% 0.0% Love Saves the Day 2016 124 4.0% 83.9% 10.5% 1.6% 2017 101 13.9% 80.2% 5.9% 0.0% Lovebox 2016 166 11.4% 75.9% 7.2% 5.4% Lunchmeat 2015 36 27.8% 72.2% 0.0% 0.0% 2016 38 26.3% 68.4% 5.3% 0.0% 2012 22 13.6% 68.2% 18.2% 0.0% 2014 38 7.9% 78.9% 10.5% 2.6% Máchác 2014 64 6.3% 92.2% 1.6% 0.0% MAGNETIC Festival 2014 10 0.0% 100.0% 0.0% 0.0% Maintenant 2015 29 31.0% 69.0% 0.0% 0.0% 2016 37 29.7% 64.9% 5.4% 0.0% Mamby on the Beach 2016 42 14.3% 81.0% 4.8% 0.0% 2017 61 16.4% 78.7% 4.9% 0.0% Manana Cuba 2016 32 9.4% 81.3% 9.4% 0.0% Meakusma 2016 66 91.0% 84.8% 9.1% 0.0% Melt! 2015 120 10.8% 80.8% 8.3% 0.0% 2016 121 14.9% 80.2% 5.0% 0.0% 2012 59 8.5% 81.4% 10.2% 0.0% 2014 72 9.7% 80.6% 9.7% 0.0% MEM 2015 23 26.1% 43.5% 30.4% 0.0% 2016 17 41.2% 52.9% 5.9% 0.0% Metamorphose 2012 20 5.0% 90.0% 5.0% 0.0% Mira Festival 2016 32 12.5% 78.1% 9.4% 0.0% 2014 50 6.0% 88.0% 6.0% 0.0% Modern Festival 2016 21 4.8% 95.2% 0.0% 0.0% Monegros 2014 41 7.3% 92.7% 0.0% 0.0% Moogfest 2016 114 25.4% 70.2% 4.4% 0.0% 2017 88 34.1% 56.8% 9.1% 0.0% Movement Detroit 2015 143 7.0% 90.9% 0.7% 1.4% 2016 124 12.9% 83.9% 1.6% 1.6% 2017 113 9.7% 85.8% 4.4% 0.0% 2013 77 10.4% 88.3% 1.3% 0.0% music unlimited 2012 28 21.4% 64.3% 14.3% 0.0% music we'd like to hear 2016 10 10.0% 20.0% 70.0% 0.0% Musikprotokoll 2015 69 23.2% 72.5% 4.3% 0.0% 2016 51 23.5% 68.6% 7.8% 0.0% Mutek Barcelona 2015 17 11.8% 76.5% 11.8% 0.0% 2016 31 12.9% 87.1% 0.0% 0.0% 2017 25 28.0% 64.0% 8.0% 0.0% 2014 27 7.4% 88.9% 3.7% 0.0% 2013 24 4.2% 91.7% 4.2% 0.0% Mutek Montreal 2015 77 10.4% 80.5% 1.3% 7.8% 2016 81 18.5% 72.8% 8.6% 0.0% 2012 56 7.1% 82.1% 10.7% 0.0% 2014 104 7.7% 86.5% 5.8% 0.0% Mutek MX 2015 49 8.2% 89.8% 2.0% 0.0% 2016 64 12.5% 81.3% 6.3% 0.0% Mysteryland 2016 109 10.1% 85.3% 1.8% 2.8% Nation of Gondwana 2014 36 11.1% 83.3% 5.6% 0.0% Neopop Festival 2012 48 6.3% 93.8% 0.0% 0.0% New Forms Festival 2016 38 28.9% 65.8% 5.3% 0.0% 2014 54 13.0% 79.6% 1.9% 5.6% NEXT Festival 2014 17 11.8% 88.2% 0.0% 0.0% Norbergfestival 2015 72 41.7% 56.9% 1.4% 0.0% 2016 64 42.2% 46.9% 10.9% 0.0% 2012 74 16.2% 83.8% 0.0% 0.0% 2014 83 30.1% 62.7% 6.0% 1.2% Nördik Impakt 2015 44 2.3% 93.2% 4.5% 0.0% 2016 51 7.8% 84.3% 7.8% 0.0% 2014 50 6.0% 80.0% 14.0% 0.0% Novas Frequencias 2015 43 27.9% 65.1% 7.0% 0.0% 2016 39 17.9% 76.9% 5.1% 0.0% Nuits Sonores 2015 181 5.5% 87.3% 7.2% 0.0% 2016 157 10.2% 84.1% 5.7% 0.0% 2017 161 11.8% 83.9% 4.3% 0.0% 2013 167 7.2% 87.4% 5.4% 0.0% Off_Herzios 2014 17 17.6% 82.4% 0.0% 0.0% Oortreders 2016 9 0.0% 100.0% 0.0% 0.0% Open Music 2016 9 0.0% 88.9% 11.1% 0.0% Outlook 2016 61 4.9% 82.0% 6.6% 6.6% Pirate Station 2016 8 12.5% 87.5% 0.0% 0.0% Pitchfork Music Festival Chicago 2016 44 22.7% 63.6% 13.6% 0.0% Pop-Kultur 2016 71 33.8% 45.1% 19.7% 1.4% Poprevo 2015 17 5.9% 94.1% 0.0% 0.0% Primavera Sound 2015 197 10.2% 69.5% 15.7% 4.6% 2016 156 7.7% 83.3% 9.0% 0.0% 2017 192 13.5% 73.4% 13.0% 0.0% 2014 145 9.0% 74.5% 14.5% 2.1% Q-O2 festival the other the self 2015 8 50.0% 50.0% 0.0% 0.0% 2016 4 50.0% 25.0% 25.0% 0.0% Rainbow Disco Club 2016 23 4.3% 91.3% 4.3% 0.0% 2017 24 8.3% 91.7% 0.0% 0.0% Rewire 2016 61 24.6% 63.9% 11.5% 0.0% 2017 74 18.9% 68.9% 10.8% 1.4% Rokolectiv 2015 17 17.6% 76.5% 5.9% 0.0% 2016 16 31.3% 68.8% 0.0% 0.0% 2017 15 26.7% 73.3% 0.0% 0.0% Roskilde 2015 169 17.2% 73.4% 9.5% 0.0% Schiev 2015 19 21.1% 73.7% 5.3% 0.0% 2016 17 17.6% 64.7% 17.6% 0.0% SCOPE 2016 11 9.1% 81.8% 9.1% 0.0% Scopitone 2016 42 14.3% 81.0% 4.8% 0.0% She Makes Noise 2015 4 75.0% 0.0% 25.0% 0.0% 2016 6 100.0% 0.0% 0.0% 0.0% Sirilo Music Festival 2016 18 5.6% 94.4% 0.0% 0.0% Skanu Mezs 2015 27 25.9% 70.4% 3.7% 0.0% 2016 22 9.1% 81.8% 9.1% 0.0% SKIF 2016 17 17.6% 64.7% 17.6% 0.0% Sochi Music Weekend 2016 14 0.0% 100.0% 0.0% 0.0% Sónar 2015 123 13.8% 83.7% 2.4% 0.0% 2016 124 11.3% 83.9% 4.8% 0.0% 2017 126 21.4% 73.8% 4.8% 0.0% 2014 142 9.2% 83.1% 7.7% 0.0% 2013 64 3.1% 90.6% 6.3% 0.0% Sónar Sound Tokyo 2012 47 8.5% 89.4% 2.1% 0.0% Sonica 2016 9 0.0% 88.9% 11.1% 0.0% Sonne Mond Sterne 2015 91 5.5% 91.2% 3.3% 0.0% 2016 137 5.1% 90.5% 4.4% 0.0% Sonorities 2013 61 16.4% 82.0% 1.6% 0.0% Sound and Music 2012 30 10.0% 90.0% 0.0% 0.0% SPOT 2015 190 15.8% 66.8% 17.4% 0.0% 2012 121 16.5% 67.8% 15.7% 0.0% springfestival 2016 119 8.4% 89.9% 0.8% 0.8% 2017 47 8.5% 87.2% 4.3% 0.0% 2013 74 2.7% 90.5% 5.4% 1.4% Störung 2014 21 9.5% 90.5% 0.0% 0.0% Strichka Festival 2016 30 13.3% 83.3% 0.0% 3.3% 2017 28 17.9% 82.1% 0.0% 0.0% STRP BIËNNALE 2015 47 4.3% 87.2% 8.5% 0.0% 2017 64 35.9% 59.4% 4.7% 0.0% Supersonic Festival 2012 113 7.1% 88.5% 4.4% 0.0% Symbiosis Gathering 2016 16 12.5% 87.5% 0.0% 0.0% SynCussion 2017 12 33.3% 50.0% 16.7% 0.0% TaicoClub 2015 35 5.7% 80.0% 14.3% 0.0% 2016 33 12.1% 84.8% 3.0% 0.0% 2017 23 4.3% 82.6% 13.0% 0.0% 2012 25 0.0% 84.0% 16.0% 0.0% The Bunker x Dekmantel 2016 7 14.3% 85.7% 0.0% 0.0% The Chosen Few Djs 2016 27 11.1% 88.9% 0.0% 0.0% Time Warp 2015 40 7.5% 92.5% 0.0% 0.0% 2016 41 9.8% 90.2% 0.0% 0.0% 2017 41 12.2% 87.8% 0.0% 0.0% Time Warp Argentina 2015 16 0.0% 100.0% 0.0% 0.0% 2016 17 0.0% 100.0% 0.0% 0.0% Time Warp USA 2015 17 5.9% 88.2% 5.9% 0.0% TodaysArt 2015 38 15.8% 76.3% 7.9% 0.0% 2016 31 29.0% 58.1% 12.9% 0.0% 2012 198 6.1% 88.9% 5.1% 0.0% Together Festival 2015 71 14.1% 84.5% 1.4% 0.0% 2016 26 23.1% 76.9% 0.0% 0.0% 2017 32 21.9% 78.1% 0.0% 0.0% Transmission 2014 11 0.0% 100.0% 0.0% 0.0% Trenelenburg 2014 27 0.0% 85.2% 7.4% 7.4% Ultrahang Fest 2015 41 9.8% 82.9% 7.3% 0.0% 2016 37 24.3% 70.3% 5.4% 0.0% Unsound Adelaide 2015 12 8.3% 75.0% 16.7% 0.0% 2016 12 16.7% 66.7% 16.7% 0.0% 2012 9 0.0% 100.0% 0.0% 0.0% Unsound Krakow 2015 103 13.6% 78.6% 6.8% 1.0% 2016 114 24.6% 67.5% 7.9% 0.0% 2012 95 7.4% 87.4% 5.3% 0.0% Unsound Tbilisi 2012 15 6.7% 93.3% 0.0% 0.0% UP Festival 2014 14 0.0% 100.0% 0.0% 0.0% Urban Art Forms 2013 50 2.0% 94.0% 4.0% 0.0% VIA Festival 2015 49 42.9% 49.0% 8.2% 0.0% 2016 22 50.0% 40.9% 9.1% 0.0% Volt Festival 2012 18 27.8% 66.7% 5.6% 0.0% 2013 19 42.1% 57.9% 0.0% 0.0% Voltt Festival 2016 37 2.7% 94.6% 2.7% 0.0% Wax Treatment Africa Special 2012 31 0.0% 96.8% 3.2% 0.0% Weather Festival 2014 36 5.6% 94.4% 0.0% 0.0% What The Festival 2017 112 8.9% 86.6% 4.5% 0.0% Xibalba Festival 2016 17 23.5% 70.6% 5.9% 0.0% Zoukout 2014 30 16.7% 83.3% 0.0% 0.0% Total 18956 13.5% 78.9% 6.9% 0.7% 5\TILY VM -LTHSL 4HSL 4P_LK LLR       )VVT -LZ[P]HS       )VaHY             )74 -LZ[P]HS             )@!3(94        JV WVW       *HYUH]HS KL )HOPKVYm                   *HZP4PUP-LZ[       *OHUJL VM 9HPU       *SPJR                    *VTT\UPRL`       *VT\UP[L             *YVZZ[V^U 9LILSZ +H` ALYV             *YZZK -LZ[P]HS             *;4                                  *`UL[HY[       +H` MVY 5PNO[       +LJPILS -LZ[P]HS             +LRTHU[LS -LZ[P]HS (TZ[LYKHT                   +LRTHU[LS -LZ[P]HS :qV 7H\SV        +LRTHU[LS -LZ[P]HS ;VR`V (WYPS       +LRTHU[LS -LZ[P]HS ;VR`V 5V]LTILY        +LRTHU[LS 3VUKVU       +LRTHU[LS :LSLJ[VYZ       +LZLY[ /LHY[Z :WYPUN             +PY[` )PYK *HTWV\[             KVUH\MLZ[P]HS               +V\Y -LZ[P]HS       LFTH` -LZ[P]HS       ,RRVMLZ[P]HSLU       ,SLJ[YPJ +HPZ` *HYUP]HS 5L^ @VYR       ,SLJ[YPJ +HPZ` *HYUP]HS 6YSHUKV       ,SLJ[YPJ :WYPUN             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     3LU[L 2HIPUL[              3LZ -LTTLZ Z»LU 4vSLU[       3LZ :PLZ[LZ ,SLJ[YVUPX\LZ 7HYPZ            3LZ :PLZ[LZ ,SLJ[YVUPX\LZ ;V\SV\ZL                   3PNO[UPUN PU H )V[[SL             3VZ[;OLVY`       3V]L :H]LZ [OL +H`             3V]LIV_       3\UJOTLH[                             4mJOmJ       4(.5,;0* -LZ[P]HS       4HPU[LUHU[               4HTI` VU [OL )LHJO              4HUHUH *\IH       4LHR\ZTH       4LS[                         4,4             4L[HTVYWOVZL       4PYH -LZ[P]HS              4VKLYU -LZ[P]HS       4VULNYVZ       4VVNMLZ[            4V]LTLU[ +L[YVP[                         T\ZPJ \USPTP[LK       T\ZPJ ^LK SPRL [V OLHY       4\ZPRWYV[VRVSS              4\[LR )HYJLSVUH                                4\[LR 4VU[YLHS                          4\[LR 4?             4`Z[LY`SHUK       5H[PVU VM .VUK^HUH       5LVWVW -LZ[P]HS       5L^ -VYTZ -LZ[P]HS               5,?; -LZ[P]HS       5VYILYNMLZ[P]HS                         5€YKPR 0TWHR[                   5V]HZ -YLX\LUJPHZ             5\P[Z :VUVYLZ                          6ɈF/LYaPVZ       6VY[YLKLYZ      6WLU 4\ZPJ      6\[SVVR       7PYH[L :[H[PVU      7P[JOMVYR 4\ZPJ -LZ[P]HS *OPJHNV       7VW2\S[\Y        7VWYL]V       7YPTH]LYH :V\UK                            86 MLZ[P]HS [OL V[OLY [OL ZLSM            9HPUIV^ +PZJV *S\I             9L^PYL               9VRVSLJ[P]                    9VZRPSKL       :JOPL]             :*67,       :JVWP[VUL       :OL 4HRLZ 5VPZL             :PYPSV 4\ZPJ -LZ[P]HS       :RHU\ 4LaZ             :20-       :VJOP 4\ZPJ >LLRLUK       :}UHY                               :}UHY :V\UK ;VR`V       :VUPJH      :VUUL 4VUK :[LYUL             :VUVYP[PLZ       :V\UK HUK 4\ZPJ       :76;              ZWYPUNMLZ[P]HS       Number of Festival   Female  Male  Mixed Unidentified  Acts     3hd:[€Y\UN Festival 2015 19 47.4%  4 7.4% 5.3% 0.0% :[YPJORH -LZ[P]HS 2016 23 47.8%  43.5%  8.7% 0.0% 4GB 2016  32 3.1%  96.9%  0.0% 0.0% :;97 )0Î55(3, 2017 46 0.0% 100.0%  0.0%  0.0% 50 Years of Minimalism 2012  9 44.4%  55.6%  0.0% 0.0% Abstrasension:\WLYZVUPJ -LZ[P]HS 2016  25 0.0%  100.0%  0.0% 0.0% Alfa:`TIPVZPZ Future .H[OLYPUNPeople 2016  41 7.3%  92.7%  0.0% 0.0% Apparitions:`U*\ZZPVU Festival 2016  32 3.1% 96.9% 0.0% 0.0% ;HPJV*S\I 2017  31 3.2% 93.5%  3.2% 0.0% Aquasella 2014  56 8.9% 89.3%  1.8% 0.0% Ars Electronica 2012 130 24.6%  73.1%  2.3% 0.0% AVA 2016  27 7.4% 85.2%  7.4% 0.0% ;OL )\URLY _ +LRTHU[LS 2017  44 15.9% 72.7%  4.5% 6.8% Awakenings;OL *OVZLU Festival -L^ +QZ 2015 110 10.0%  86.4%  3.6% 0.0% ;PTL >HYW 2016 103 6.8% 90.3% 2.9% 0.0% 2017 112 15.2%  83.0% 1.8% 0.0% Bass Coast 2016  17 17.6%  82.4%  0.0% 0.0% Berlin;PTL >HYWAtonal (YNLU[PUH 2015  70 4.3%  90.0% 5.7% 0.0% 2016  89 16.9%  75.3% 7.9% 0.0% ;PTL >HYW <:( 2014  67 3.0% 92.5%  4.5% 0.0% Berlin;VKH`Z(Y[ Festival 2012  87 13.8%  75.9%  10.3%  0.0% Berlin Music Week 2014 229 16.2%  72.1% 11.8%  0.0% Boom Festival 2012 171 2.9%  90.6%  2.3% 4.1% Bozar;VNL[OLY -LZ[P]HS 2015  24 4.2%  83.3%  12.5%  0.0% 2016  26 15.4%  80.8% 3.8% 0.0% BPM Festival 2015 152 5.3%  94.1%  0.7% 0.0% ;YHUZTPZZPVU 2016 377 9.3%  88.9% 1.1% 0.8% BY:LARM;YLULSLUI\YN 2013 134 21.6% 68.7%  9.7% 0.0% c/oH_ ;YLH[TLU[ (MYPJH :WLJPHS 2015 146 22.6% 73.3% 4.1% 0.0% >LH[OLY -LZ[P]HS 2016 187 32.1% 58.3% 9.6% 0.0% >OH[ ;OL -LZ[P]HS 2017 198 42.9%  53.5%  2.5% 1.0% ?PIHSIH -LZ[P]HS 2014 101 14.9%  76.2% 8.9% 0.0% AV\RV\[ 2013 181 9.9%  84.5%  3.9% 1.7% Cynetart;V[HS 2016 13  30.8%  53.8%  15.4%  0.0% Day for Night 2016 69 13.0% 75.4% 11.6% 0.0% Decibel Festival 2015 131 15.3% 84.0% 0.8% 0.0% 2014 145 12.4% 82.1% 5.5% 0.0% Dekmantel Festival Amsterdam 2015 103 4.9% 95.1% 0.0% 0.0% 2016 23 13.0% 87.0% female:pressure 0.0% 0.0% 2014 80 2.5% 96.3% FACTS 1.3% 2017 0.0% 20 21 Dekmantel Festival São Paulo 2017 54 20.4% 79.6% 0.0% 0.0% Dekmantel Festival Tokyo April 2016 33 3.0% 97.0% 0.0% 0.0% Dekmantel Festival Tokyo November 2016 16 18.8% 81.3% 0.0% 0.0% Dekmantel London 2016 10 0.0% 100.0% 0.0% 0.0% Dekmantel Selectors 2016 71 7.0% 93.0% 0.0% 0.0% Desert Hearts Spring 2016 37 5.4% 91.9% 0.0% 2.7% 2017 41 4.9% 92.7% 2.4% 0.0% Dirty Bird Campout 2015 35 5.7% 88.6% 5.7% 0.0% 2016 35 2.9% 94.3% 2.9% 0.0% donaufestival 2015 39 12.8% 69.2% 17.9% 0.0% 2016 49 8.2% 71.4% 18.4% 2.0% Dour Festival 2012 232 2.2% 90.5% 7.3% 0.0% e_may Festival 2012 18 50.0% 5.6% 44.4% 0.0% Ekkofestivalen 2012 29 3.4% 86.2% 10.3% 0.0% Electric Daisy Carnival New York 2012 81 7.4% 87.7% 4.9% 0.0% Electric Daisy Carnival Orlando 2012 57 1.8% 94.7% 3.5% 0.0% Electric Spring 2016 33 30.3% 54.5% 15.2% 0.0% 2017 13 53.8% 46.2% 0.0% 0.0% Electric Spring Huddersfield 2015 16 25.0% 62.5% 0.0% 12.5% 2016 20 10.0% 50.0% 40.0% 0.0% 2017 14 21.4% 64.3% 14.3% 0.0% 2013 15 6.7% 93.3% 0.0% 0.0% Electron Festival 2016 95 21.1% 74.7% 4.2% 0.0% 2017 71 5.6% 87.3% 4.2% 2.8% 2014 99 12.1% 82.8% 5.1% 0.0% 2013 97 6.2% 87.6% 6.2% 0.0% Electronica En Abril 2015 13 7.7% 84.6% 7.7% 0.0% 2016 12 0.0% 100.0% 0.0% 0.0% 2017 10 30.0% 70.0% 0.0% 0.0% 2014 16 25.0% 68.8% 6.3% 0.0% Elevate 2016 44 13.6% 84.1% 2.3% 0.0% Eufònic 2014 14 14.3% 71.4% 14.3% 0.0% Fascinoma Festival 2016 41 7.3% 90.2% 2.4% 0.0% Flow Festival 2012 133 5.3% 76.7% 18.0% 0.0% FORM Arcosanti 2015 26 26.9% 57.7% 15.4% 0.0% 2016 32 21.9% 71.9% 6.3% 0.0% 2017 37 29.7% 62.2% 8.1% 0.0% frameworks festival 2013 9 11.1% 88.9% 0.0% 0.0% Free Rotation 2014 88 13.6% 75.0% 1.1% 10.2% Further Future 2016 61 6.6% 83.6% 9.8% 0.0% Fusion 2015 552 10.9% 71.0% 14.9% 3.3% 2016 726 10.9% 72.7% 14.0% 2.3% 2012 251 9.6% 69.3% 21.1% 0.0% FutureEverything 2015 27 11.1% 81.5% 3.7% 3.7% 2016 21 19.0% 66.7% 14.3% 0.0% 2013 22 4.5% 90.9% 4.5% 0.0% FYF Fest 2016 52 15.4% 78.8% 5.8% 0.0% Geometry of Now 2017 30 6.7% 80.0% 13.3% 0.0% GRM - Akousma 2017 10 20.0% 80.0% 0.0% 0.0% GRM - Live electronique 2017 10 0.0% 90.0% 10.0% 0.0% GuteZeit Festival 2016 10 0.0% 100.0% 0.0% 0.0% 2017 14 0.0% 100.0% 0.0% 0.0% Heart of Noise 2015 28 7.1% 89.3% 3.6% 0.0% 2016 26 7.7% 84.6% 7.7% 0.0% 2017 25 24.0% 76.0% 0.0% 0.0% Holy Ship 2017 142 9.2% 89.4% 1.4% 0.0% Hyperreality 2017 78 47.4% 44.9% 7.7% 0.0% Hyte Berlin - NYE Week 2014 28 7.1% 92.9% 0.0% 0.0% I Love Techno 2012 37 0.0% 97.3% 2.7% 0.0% 2014 36 5.6% 91.7% 2.8% 0.0% I Love Techno Europe 2016 21 0.0% 100.0% 0.0% 0.0% 2014 24 0.0% 100.0% 0.0% 0.0% ICAS Festival 2015 35 17.1% 74.3% 8.6% 0.0% Igloofest 2015 118 16.9% 79.7% 1.7% 1.7% 2016 109 35.8% 60.6% 3.7% 0.0% 2017 71 23.9% 70.4% 5.6% 0.0% III Bienal Música Hoje 2015 73 8.2% 91.8% 0.0% 0.0% Insomnia 2015 34 26.5% 67.6% 5.9% 0.0% 2016 26 30.8% 61.5% 7.7% 0.0% 2014 22 18.2% 59.1% 22.7% 0.0% intonal 2015 26 26.9% 61.5% 11.5% 0.0% 2016 38 31.6% 55.3% 10.5% 2.6% 2017 41 51.2% 41.5% 7.3% 0.0% kontrA2punkt 2014 9 0.0% 66.7% 33.3% 0.0% KRAA! Festival 2014 17 5.9% 88.2% 5.9% 0.0% Kraak Festival 2015 13 15.4% 61.5% 23.1% 0.0% 2016 22 4.5% 81.8% 13.6% 0.0% Krake Festival 2015 48 18.8% 70.8% 10.4% 0.0% 2016 49 16.3% 81.6% 2.0% 0.0% 2014 42 14.3% 83.3% 2.4% 0.0% 2013 37 10.8% 89.2% 0.0% 0.0% L.E.V. Festival 2015 20 5.0% 95.0% 0.0% 0.0% 2016 30 13.3% 86.7% 0.0% 0.0% 2014 21 4.8% 85.7% 9.5% 0.0% L'Estrany 2014 12 8.3% 75.0% 16.7% 0.0% Labyrinth 2015 16 0.0% 100.0% 0.0% 0.0% Lapsus Festival 2016 17 17.6% 82.4% 0.0% 0.0% 2017 11 18.2% 81.8% 0.0% 0.0% 2014 15 6.7% 93.3% 0.0% 0.0% LEM Festival 2015 22 9.1% 68.2% 22.7% 0.0% 2016 29 6.9% 79.3% 13.8% 0.0% Lente Kabinet 2016 29 3.4% 93.1% 3.4% 0.0% 2017 26 19.2% 76.9% 3.8% 0.0% Les Femmes s’en Mêlent 2013 26 84.6% 0.0% 15.4% 0.0% Les Siestes Electroniques Paris 2015 10 10.0% 90.0% 0.0% 0.0% 2016 8 0.0% 75.0% 25.0% 0.0% Les Siestes Electroniques Toulouse 2015 12 25.0% 66.7% 8.3% 0.0% 2016 13 7.7% 84.6% 7.7% 0.0% 2014 12 16.7% 66.7% 16.7% 0.0% Lightning in a Bottle 2016 72 11.1% 80.6% 8.3% 0.0% 2017 105 13.3% 72.4% 14.3% 0.0% LostTheory 2013 126 1.6% 98.4% 0.0% 0.0% Love Saves the Day 2016 124 4.0% 83.9% 10.5% 1.6% 2017 101 13.9% 80.2% 5.9% 0.0% Lovebox 2016 166 11.4% 75.9% 7.2% 5.4% Lunchmeat 2015 36 27.8% 72.2% 0.0% 0.0% 2016 38 26.3% 68.4% 5.3% 0.0% 2012 22 13.6% 68.2% 18.2% 0.0% 2014 38 7.9% 78.9% 10.5% 2.6% Máchác 2014 64 6.3% 92.2% 1.6% 0.0% MAGNETIC Festival 2014 10 0.0% 100.0% 0.0% 0.0% Maintenant 2015 29 31.0% 69.0% 0.0% 0.0% 2016 37 29.7% 64.9% 5.4% 0.0% Mamby on the Beach 2016 42 14.3% 81.0% 4.8% 0.0% 2017 61 16.4% 78.7% 4.9% 0.0% Manana Cuba 2016 32 9.4% 81.3% 9.4% 0.0% Meakusma 2016 66 91.0% 84.8% 9.1% 0.0% Melt! 2015 120 10.8% 80.8% 8.3% 0.0% 2016 121 14.9% 80.2% 5.0% 0.0% 2012 59 8.5% 81.4% 10.2% 0.0% 2014 72 9.7% 80.6% 9.7% 0.0% MEM 2015 23 26.1% 43.5% 30.4% 0.0% 2016 17 41.2% 52.9% 5.9% 0.0% Metamorphose 2012 20 5.0% 90.0% 5.0% 0.0% Mira Festival 2016 32 12.5% 78.1% 9.4% 0.0% 2014 50 6.0% 88.0% 6.0% 0.0% Modern Festival 2016 21 4.8% 95.2% 0.0% 0.0% Monegros 2014 41 7.3% 92.7% 0.0% 0.0% Moogfest 2016 114 25.4% 70.2% 4.4% 0.0% 2017 88 34.1% 56.8% 9.1% 0.0% Movement Detroit 2015 143 7.0% 90.9% 0.7% 1.4% 2016 124 12.9% 83.9% 1.6% 1.6% 2017 113 9.7% 85.8% 4.4% 0.0% 2013 77 10.4% 88.3% 1.3% 0.0% music unlimited 2012 28 21.4% 64.3% 14.3% 0.0% music we'd like to hear 2016 10 10.0% 20.0% 70.0% 0.0% Musikprotokoll 2015 69 23.2% 72.5% 4.3% 0.0% 2016 51 23.5% 68.6% 7.8% 0.0% Mutek Barcelona 2015 17 11.8% 76.5% 11.8% 0.0% 2016 31 12.9% 87.1% 0.0% 0.0% 2017 25 28.0% 64.0% 8.0% 0.0% 2014 27 7.4% 88.9% 3.7% 0.0% 2013 24 4.2% 91.7% 4.2% 0.0% Mutek Montreal 2015 77 10.4% 80.5% 1.3% 7.8% 2016 81 18.5% 72.8% 8.6% 0.0% 2012 56 7.1% 82.1% 10.7% 0.0% 2014 104 7.7% 86.5% 5.8% 0.0% Mutek MX 2015 49 8.2% 89.8% 2.0% 0.0% 2016 64 12.5% 81.3% 6.3% 0.0% Mysteryland 2016 109 10.1% 85.3% 1.8% 2.8% Nation of Gondwana 2014 36 11.1% 83.3% 5.6% 0.0% Neopop Festival 2012 48 6.3% 93.8% 0.0% 0.0% New Forms Festival 2016 38 28.9% 65.8% 5.3% 0.0% 2014 54 13.0% 79.6% 1.9% 5.6% NEXT Festival 2014 17 11.8% 88.2% 0.0% 0.0% Norbergfestival 2015 72 41.7% 56.9% 1.4% 0.0% 2016 64 42.2% 46.9% 10.9% 0.0% 2012 74 16.2% 83.8% 0.0% 0.0% 2014 83 30.1% 62.7% 6.0% 1.2% Nördik Impakt 2015 44 2.3% 93.2% 4.5% 0.0% 2016 51 7.8% 84.3% 7.8% 0.0% 2014 50 6.0% 80.0% 14.0% 0.0% Novas Frequencias 2015 43 27.9% 65.1% 7.0% 0.0% 2016 39 17.9% 76.9% 5.1% 0.0% Nuits Sonores 2015 181 5.5% 87.3% 7.2% 0.0% 2016 157 10.2% 84.1% 5.7% 0.0% 2017 161 11.8% 83.9% 4.3% 0.0% 2013 167 7.2% 87.4% 5.4% 0.0% Off_Herzios 2014 17 17.6% 82.4% 0.0% 0.0% Oortreders 2016 9 0.0% 100.0% 0.0% 0.0% Open Music 2016 9 0.0% 88.9% 11.1% 0.0% Outlook 2016 61 4.9% 82.0% 6.6% 6.6% Pirate Station 2016 8 12.5% 87.5% 0.0% 0.0% Pitchfork Music Festival Chicago 2016 44 22.7% 63.6% 13.6% 0.0% Pop-Kultur 2016 71 33.8% 45.1% 19.7% 1.4% Poprevo 2015 17 5.9% 94.1% 0.0% 0.0% Primavera Sound 2015 197 10.2% 69.5% 15.7% 4.6% 2016 156 7.7% 83.3% 9.0% 0.0% 2017 192 13.5% 73.4% 13.0% 0.0% 2014 145 9.0% 74.5% 14.5% 2.1% Q-O2 festival the other the self 2015 8 50.0% 50.0% 0.0% 0.0% 2016 4 50.0% 25.0% 25.0% 0.0% Rainbow Disco Club 2016 23 4.3% 91.3% 4.3% 0.0% 2017 24 8.3% 91.7% 0.0% 0.0% Rewire 2016 61 24.6% 63.9% 11.5% 0.0% 2017 74 18.9% 68.9% 10.8% 1.4% Rokolectiv 2015 17 17.6% 76.5% 5.9% 0.0% 2016 16 31.3% 68.8% 0.0% 0.0% 2017 15 26.7% 73.3% 0.0% 0.0% Roskilde 2015 169 17.2% 73.4% 9.5% 0.0% Schiev 2015 19 21.1% 73.7% 5.3% 0.0% 2016 17 17.6% 64.7% 17.6% 0.0% SCOPE 2016 11 9.1% 81.8% 9.1% 0.0% Scopitone 2016 42 14.3% 81.0% 4.8% 0.0% She Makes Noise 2015 4 75.0% 0.0% 25.0% 0.0% 2016 6 100.0% 0.0% 0.0% 0.0% Sirilo Music Festival 2016 18 5.6% 94.4% 0.0% 0.0% Skanu Mezs 2015 27 25.9% 70.4% 3.7% 0.0% 2016 22 9.1% 81.8% 9.1% 0.0% SKIF 2016 17 17.6% 64.7% 17.6% 0.0% Sochi Music Weekend 2016 14 0.0% 100.0% 0.0% 0.0% Sónar 2015 123 13.8% 83.7% 2.4% 0.0% 2016 124 11.3% 83.9% 4.8% 0.0% 2017 126 21.4% 73.8% 4.8% 0.0% 2014 142 9.2% 83.1% 7.7% 0.0% 2013 64 3.1% 90.6% 6.3% 0.0% Sónar Sound Tokyo 2012 47 8.5% 89.4% 2.1% 0.0% Sonica 2016 9 0.0% 88.9% 11.1% 0.0% Sonne Mond Sterne 2015 91 5.5% 91.2% 3.3% 0.0% 2016 137 5.1% 90.5% 4.4% 0.0% Sonorities 2013 61 16.4% 82.0% 1.6% 0.0% Sound and Music 2012 30 10.0% 90.0% 0.0% 0.0% SPOT 2015 190 15.8% 66.8% 17.4% 0.0% 2012 121 16.5% 67.8% 15.7% 0.0% springfestival 2016 119 8.4% 89.9% 0.8% 0.8% 2017 47 8.5% 87.2% 4.3% 0.0% 2013 74 2.7% 90.5% 5.4% 1.4% Störung 2014 21 9.5% 90.5% 0.0% 0.0% Strichka Festival 2016 30 13.3% 83.3% 0.0% 3.3% 2017 28 17.9% 82.1% 0.0% 0.0% STRP BIËNNALE 2015 47 4.3% 87.2% 8.5% 0.0% 2017 64 35.9% 59.4% 4.7% 0.0% Supersonic Festival 2012 113 7.1% 88.5% 4.4% 0.0% Symbiosis Gathering 2016 16 12.5% 87.5% 0.0% 0.0% SynCussion 2017 12 33.3% 50.0% 16.7% 0.0% TaicoClub 2015 35 5.7% 80.0% 14.3% 0.0% 2016 33 12.1% 84.8% 3.0% 0.0% 2017 23 4.3% 82.6% 13.0% 0.0% 2012 25 0.0% 84.0% 16.0% 0.0% The Bunker x Dekmantel 2016 7 14.3% 85.7% 0.0% 0.0% The Chosen Few Djs 2016 27 11.1% 88.9% 0.0% 0.0% Time Warp 2015 40 7.5% 92.5% 0.0% 0.0% 2016 41 9.8% 90.2% 0.0% 0.0% 2017 41 12.2% 87.8% 0.0% 0.0% Time Warp Argentina 2015 16 0.0% 100.0% 0.0% 0.0% 2016 17 0.0% 100.0% 0.0% 0.0% Time Warp USA 2015 17 5.9% 88.2% 5.9% 0.0% TodaysArt 2015 38 15.8% 76.3% 7.9% 0.0% 2016 31 29.0% 58.1% 12.9% 0.0% 2012 198 6.1% 88.9% 5.1% 0.0% Together Festival 2015 71 14.1% 84.5% 1.4% 0.0% 2016 26 23.1% 76.9% 0.0% 0.0% 2017 32 21.9% 78.1% 0.0% 0.0% Transmission 2014 11 0.0% 100.0% 0.0% 0.0% Trenelenburg 2014 27 0.0% 85.2% 7.4% 7.4% Ultrahang Fest 2015 41 9.8% 82.9% 7.3% 0.0% 2016 37 24.3% 70.3% 5.4% 0.0% Unsound Adelaide 2015 12 8.3% 75.0% 16.7% 0.0% 2016 12 16.7% 66.7% 16.7% 0.0% 2012 9 0.0% 100.0% 0.0% 0.0% Unsound Krakow 2015 103 13.6% 78.6% 6.8% 1.0% 2016 114 24.6% 67.5% 7.9% 0.0% 2012 95 7.4% 87.4% 5.3% 0.0% Unsound Tbilisi 2012 15 6.7% 93.3% 0.0% 0.0% UP Festival 2014 14 0.0% 100.0% 0.0% 0.0% Urban Art Forms 2013 50 2.0% 94.0% 4.0% 0.0% VIA Festival 2015 49 42.9% 49.0% 8.2% 0.0% 2016 22 50.0% 40.9% 9.1% 0.0% Volt Festival 2012 18 27.8% 66.7% 5.6% 0.0% 2013 19 42.1% 57.9% 0.0% 0.0% Voltt Festival 2016 37 2.7% 94.6% 2.7% 0.0% Wax Treatment Africa Special 2012 31 0.0% 96.8% 3.2% 0.0% Weather Festival 2014 36 5.6% 94.4% 0.0% 0.0% What The Festival 2017 112 8.9% 86.6% 4.5% 0.0% Xibalba Festival 2016 17 23.5% 70.6% 5.9% 0.0% Zoukout 2014 30 16.7% 83.3% 0.0% 0.0% Total 18956 13.5% 78.9% 6.9% 0.7%