2020 LA84 Foundation Youth Sports Participation Survey for the Play Equity Fund

2020 LA84 FOUNDATION YOUTH SPORTS PARTICIPATION SURVEY for the

©2020 LA84 Foundation 1 Table of Contents 4 Executive Summary 9 Background & Methodology 12 Sports Participation Trends 35 Physical Activity/Inactivity Among LA County Youth 41 Sports Participation Rates & Profiles 44 BASEBALL 46 BASKETBALL 48 CHEER/DRILL/DANCE TEAM 50 CYCLING 52 FOOTBALL (FLAG) 54 FOOTBALL (TACKLE) 56 GYMNASTICS 58 HOCKEY (ICE/ROLLER) 60 MARTIAL ARTS (e.g. KARATE, TAEKWONDO, etc.) 62 RUGBY 64 RUNNING 66 SKATEBOARDING 68 SNOWBOARDING 70 SOCCER/FUTSAL 72 SOFTBALL (FAST/SLOW PITCH) 74 SURFING 76 SWIMMING 78 TENNIS 80 TRACK & FIELD 82 VOLLEYBALL (COURT) 84 VOLLEYBALL (SAND/BEACH) 86 WATER POLO 88 WRESTLING 90 Website Usage 93 P.E. / Physical Activity Classes 98 Inequity 104 Household Profile ©2020 LA84 Foundation 2 Introduction The LA84 Foundation is pleased to present the 2020 Los Angeles County Youth Sports Participation Survey. This is the latest in a biennial report on an assessment of youth sports that began in 2016. This comprehensive study provides both aggregated and sport-by-sport data about the more than 1.2 million youngsters – ages 6 through 17 – who play sports in Los Angeles County.

This report offers an opportunity to view youth sports through several lenses including race, gender, age, ability, facility type, type of participation and family income. The 2020 report traces the evolution of youth sports in Los Angeles over the past half-decade. While there are encouraging trends, some of the In the decade between the 2008 economic downturn and findings will concern anyone who is committed to Play Equity. 2018, youth sports participation dropped for kids ages 6 to However, for all who are committed to Play Equity there is data 12, according to data from the Sports & Fitness Industry that raises concerns. Association. And, budget deficits in public education resulted in the elimination of enrichment programs, including sports and There has been an increase in girls’ sport participation, with after-school structured play programs. 82% of girls now taking part. This compares to 73% in the 2016 survey. Similarly, the percentage of all young people The LA84 Foundation and Play Equity Fund, leaders in the Play playing sports has increased slightly from 2016 and now stands Equity Movement, are committed to facing these challenges and at 82.7%. Also, the participation rate in 17 of the 23 sports reversing these trends. Youth sports advocates do not have to surveyed is higher in Los Angeles County than in the nation as a accept a landscape characterized by restricted sports access. whole. We must work together to change the way that the public and Unfortunately, there are also signs that we must intensify our policy makers understand the value of youth sports. Sports are efforts to close the Play Equity gap. The percentage of active not a luxury; they are a central component of positive youth kids from low-income families dropped, while the percentage development. of parents voicing concerns about the cost of youth sports participation has increased. We look forward to working with the many excellent youth sports organizations in Los Angeles County that share our vision that There is also the prospect of these discouraging trends every young person has a right to experience the physical, increasing. The COVID-19 crisis and the related financial social and psychological benefits of sport regardless of zip code, hardships will likely combine to widen the Play Equity gap. family income, race, gender or ability.

SPORTS PARTICIPATION TRENDS • 82.7% of Los Angeles County youth, ages 6-17, participate From 2016 to 2020, lower-income households have in a sport, a slight improvement over the 2018 activity rate of decreased their average play frequency, while the average 82.3%. More than 1.2 million young people, ages 6-17, play for the most affluent households increased. sports in Los Angeles County. • Swimming has the highest participation rate among youth • Family income remains a key indicator of youth sport ages 6-17 in Los Angeles County, with 25% reporting participation. Kids from households with annual incomes participation in the 2019 year. Basketball (24.3%), soccer/ greater than $150k participate at a rate of 93%, while only futsal (24.2%), running (18.3%), and baseball (14.6%) follow. 68% of kids from households earning below $35k play sports. Running, flag football, tackle football, beach/sand volleyball Youth physical activity decreased slightly for households with were the activities with the highest growth in LA County youth <$75k while increasingly for those $75k+. participation rate from 2018 to 2020.

• Girls’ participation indicates an increase from 73% in 2016 • Since the first 2016 survey, running, football, and rugby have to 82% in 2020. While girls’ physical activity has increased, the largest gains in participation rate. On the other hand, male youth have decreased from 88% in 2016 to 84% in 2020. soccer, softball, and baseball are the sports with the lowest However, girls’ participation rate still slightly trails that of boys, growth since first measured in 2016. with 84% of boys participating in sport compared to 82% of girls. • The sports with the highest number of participants in “organized” activities, including school or non-school settings, • Cheer/Drill/Dance Team is the sport with the highest are soccer/futsal, basketball, swimming, running and baseball. concentration of female participants (92%), followed by gymnastics (74%), volleyball (sand) and softball (71% each), • The average number of sports played by active LA County volleyball (court) (67%). The highest concentrations of boys youth is 2.3, similar to the 2.2 average in 2018 and slightly are in tackle football (96%), wrestling (92%), flag football below the average of 2.7 in 2016. Active youth in households (85%), hockey (83%) and baseball (80%). with higher incomes once again average a higher number of sports played compared to lower-income households. • The youngest age group of boys and girls, 6-8-year-olds, has a higher participation rate than in 2016 & 2018, reflecting • Los Angeles County youth who are active played sports an an increase from 72% in 2016 and 81% in 2018 to 83% for average of 115 times, up slightly from the 2018 average of the 2020 survey. While the youngest age group has grown 112. Younger teenagers ages 12-17 have steadily increased steadily, physical activity for teenagers ages 15-17 has their average play frequency since the 2016 survey. From declined. Despite this, younger children ages 6-11 remain 2016 to 2020, lower-income households have decreased slightly less active than older kids. their average play frequency, while the average for the most affluent households increased. ©2020 LA84 Foundation 5 Executive Summary

• Cheer/Dance/Drill Team (66 times) and skateboarding (65 • For those aspiring to play another sport in the next 12 months, times) are the sports with the highest average participation the sport most frequently mentioned was basketball. frequency in 2019, followed by martial arts (61), soccer/futsal (56), and softball (55). • When asked what sport/activity their child was most looking forward to playing when normal activities resume after COVID, • Among youth sports participants, casual pickup play (40% soccer and basketball were the most frequently cited sports. playing) was at similar levels to 2018. There is a slight increase in school-organized participation and a minor • Parents of the 17.3% of LA County youth who are physically decrease in organized play outside of school. inactive were asked for reasons why their child didn’t play; the most frequently cited reason is a general lack of interest • Casual participation is more likely to be done by males and (34%), followed by a dislike of sports (18%) and financial cost higher-income households, while a higher-percentage of (13%). The percentage of parents mentioning cost is higher females and lower-income households are taking part in than in 2016 & 2018. school-organized activities. • Inactive LA County youth are relatively more likely to be • 56% of LA County youth most often participate in sports at female, ages 15 to 17, Hispanic/Latino, and from lower-income public facilities (fields/pools, gyms), a similar percentage households; those who are active are relatively more likely to to 2018. Playing at school is associated with age – the be ages 6 to 14, White or Asian/Pacific Islander, and from a percentage increasing as youth get older, while play at public household income of $75k+. facilities is highest for younger kids then steadily declines with age. P.E. / PHYSICAL ACTIVITY CLASSES • 82% of youth are enrolled in P.E. / physical activity classes, • Active youth in households with $35k or less increased their up from 79% in 2018. For those enrolled, the average number participation at schools from 2016 (36%) to 2020 (43%). This of classes per week is 3.6, similar to the average of 3.7 first continues to emphasize the importance of schools as a source measured in the 2018 survey. of physical activity for children from lower-income households.

INEQUITY • Like 2018, “I wish more sports were available at my child/ children’s school” is the most agreed with statement in the survey among parents of youth in Los Angeles County.

• The statement with the biggest change in agreement was “Youth sports are becoming too specialized at an early age,” with a mean agreement rating up to 3.24 in 2020 from 3.06 in 2018. Concern grew particularly among parents of youth ages 6 to 11 years old.

• Lower-income households tend to agree that youth sports in Los Angeles are too expensive, as first shown in the 2018 results. Higher-income groups, as predicted, showed less agreement. Households of <$35k income also agreed more in 2020 that “it is difficult to get into sports programs” compared to 2018.

• The “income disparity value” shows the difference in participation between the highest income group and the lowest income group. Sports among LA County youth with higher income disparity values include snowboarding, tennis, hockey, beach volleyball, rugby, and water polo. Sports with lower income disparity values include cheer/dance/drill team, running, soccer, and basketball.

NOTE In the 2016 and 2018 surveys, parents were presented a list of sports and asked “Which of the following sports/physical activities did [Child Name] participate in during the last 12 months?” Due to the timing of the 2020 survey, the question was revised to ask about participation specifically for 2019: “Which of the following sports/physical activities did [Child Name] participate in during the 2019 year?”

2018 2020

Making Progress Room for Improvement Making Progress Room for Improvement

Increased activity among Lower-income households still fall behind others in Increased activity among Lower-income households still fall behind others in • Females activity rate and play occasions. • Females activity rate and play occasions. • Youth ages 6-8 • Youth ages 6-8 • Those with active parents % of those mentioning cost as reason for inactivity up from 2018.

Interest in future sport participation staple, Sports increasingly compete with other activities for Play frequency up slightly from 2018. Lower-income households decreasing their average reflecting time; % of play frequency. an existing latent demand. those not interested in sports due to other non-sport interests doubled since 2016.

The use of schools as a sports location Participation at public facilities has decreased, Use of schools as sports location is at similar levels Participation at public facilities decreasing for older increased slightly, potentially hindering to 2018. Active youth in lower-income households active youth. a key insight as parents wish that more access to sports. Low-income youngsters played continue to increase their sports participation at sports were less at schools than in 2016. schools. available at their children’s schools. Modest increase in % of youth who are taking P.E. classes.

Households generally disagreed that it is The cost of participation is still a concern, with Lower agreement that among parents that sports are Concern about increasing early youth sports difficult to find agreement increasing as household too expensive to play in LA County. specialization grew significantly. places to play sports in LA County. income decreases. Lower-income households also showed more agreement that it’s difficult to get into sports programs in LA County.

Starting in 2016, the LA84 Foundation commissioned Sports Marketing Surveys USA (SMS USA) to survey youth sports participation in Los Angeles County. The report published gave a comprehensive view of youth sports in LA, detailing participation rates, play occasions, locations, sport participant profiles, total player projections, and more.

The survey was replicated in 2018 to update results and trends, with new questions added to obtain insights on how youth sports participation in Los Angeles is affected by socioeconomic inequity. In early 2020, the LA84 Foundation once again hired SMS USA to further measure youth sports trends in evaluating perceptions towards cost, availability, and access of sports by LA County households, particularly those more affected by inequity.

To achieve a representative sample, a target quota of completed surveys for each of the 5 regions of LA County (North, South, East, West, Metro) was established.

The 2016 & 2018 surveys required additional sampling to better reflect the proportion of Black/African-American households in LA County. In addition to the region quotas above, the 2020 sample also included an additional boost. Los Angeles County SPA Assignments by Survey Year Region 2016, 2018 2020 • Interviews were completed only with households with children age North 1,2 1,2 6-17 South 6, 8 (part) 6, 8 • Regions of LA County were set according to their Service Planning Area (SPA). For the 2020 survey, the LA84 Foundation requested East 3, 7 3, 7 that zip codes in SPA 8 that are assigned to the West region be West 5, 8 (part) 5 categorized to the South region. This recategorization will reflect in Metro 4 4 some of the trends shown, particularly sport participant projections. • This project was carried out using accepted market research techniques. A representative sample of Los Angeles County was created so results could be projected. The samples for this study were created by Luth Research.

Original target screened household interviews: 755 Survey Sample – Weighted Profile Counts and % of Children • Total households with kids 6-17: 748 2016 2018 2020 • Total kids aged 6 to 17: 1,236 Count % Count % Count % • Total Hispanic/Latino households with kids: 152 North 246 26% 280 26% 317 26% • Total Hispanic/Latino kids aged 6 to 17: 279 Region South 188 19% 206 19% 316 26% • Total household interviews in Spanish (with kids): 33 completes East 295 31% 332 30% 377 30% West 121 13% 149 14% 80 6% Throughout the analysis, a weighting technique was used in Metro 107 11% 128 12% 146 12% order for the data to better represent the Los Angeles County Total 957 100% 1,095 100% 1,236 100% Population of 10,260,237 people (2019 estimate — Los Angeles 6-8 years 273 28% 278 25% 333 27% County Department of Health). http://publichealth.lacounty.gov/ 9-11 years 245 26% 277 25% 311 25% epi/docs/2019-LAC-Population.pdf Age 12-14 years 211 22% 276 25% 330 27% 15-17 years 228 24% 264 24% 262 21% Total 957 100% 1,095 100% 1,236 100% Projected participants for each sport were derived from Claritas Hispanic/Latino 462 49% 513 47% 597 48% census estimates for 2019; visit https://environicsanalytics. White 307 32% 318 29% 412 33% com/docs/default-source/us---release-notes/claritas-pop-facts- Black/African-American 118 12% 133 12% 131 11% advanced-release-notes.pdf?sfvrsn=18daf4e3_16 for more Race/Ethnicity information. Asian/Pacific Islander 58 6% 109 10% 88 7% Other 12 1% 22 2% 8 1% National sport participation rate comparisons are sourced from Total 957 100% 1,095 100% 1,236 100% the Physical Activity Council, the nation’s definitive source for sports participation data. Visit http://www.physicalactivitycouncil. com/ for more information.

All surveys are subject to some margin of error — that is, the degree to which the results might differ from those obtained by a complete census of every person in the LA county area. For this survey, with a sample of 1,236 children, there is an average confidence interval of plus or minus 2.79 percentage points at the 95 percent confidence level.

For example, if the survey results show 30% of the respondents participate in a certain sport, we can be confident 95 times out of 100 that the “real” value is between 27.21% and 32.79%

Participation Rate vs. % participation rate 6 -17 years old Participation Frequency 0% 5% 10% 15% 20% 25% 30% Swimming 14% 25% 24% Participation rate is a measure of Basketball 20% Soccer/Futsal 14% 24% the percentage of a certain group Running 18% 21% taking part in that activity over the Did not play 17% last 12 months, while participation Baseball 15% 17% Cheer/Drill/Dance Team 11% 14% frequency is the average number Tennis 9%10% of play occasions (times the activity Gymnastics 6% 9% Softball (fast/slow) 6% 9% LA County was participated in) per year. For 9% Martial Arts (eg. Karate, Taekwondo etc) 5% National example, the participation rate of Football (flag) 5% 9% basketball in LA county among Skateboarding 7% 9% youths 6-17 years old is 24% while Track & Field 5% 9% Football (tackle) 8% the average participation frequency 6% Volleyball (court) 6% 8% is 52; this means 24% of all youth Cycling 8% 26% aged 6-17 played basketball at least Volleyball (sand/beach) 1% 5% 3% once, and of these 26% of youth the Wrestling 2% Surfing 2% 3% average times basketball is played Snowboarding 3% 5% per year is 63. Note: for the 2020 Hockey (Ice/Roller) 2%2% Water Polo 2% survey, questions were asked 0% Rugby 1%2% specifically about participation for the 2019 year.

• Swimming is the most played sport among LA county youth - 25% of all children 6-17 years old participated in 2019. • 17.3% of LA county youth did not play a sport in 2019.

For the 2020 survey, swimming 2016 2018 2020 ‘18’- ‘20 CHANGE ‘16 -‘’20 change was the sport with the highest Swimming 27.1% 26.7% 25.4% -1.3% -1.7% participation rate among LA county Basketball 26.5% 25.7% 24.3% -1.4% -2.2% youth. Soccer/Futsal* 28.8% 27.1% 24.2% -2.9% -4.6% Running 16.5% 16.9% 18.3% 1.4% 1.8% Running, flag football, tackle Baseball*** 17.6% 16.1% 14.6% -1.5% -3.0% football, beach/sand volleyball Cheer/Drill/Dance Team**** 15.4% 11.4% -4.0% - were the activities with the Tennis 10.6% 9.1% 9.8% 0.7% -0.8% highest growth in LA County Gymnastics 9.4% 9.4% 0.0% - youth participation from 2018 to Softball (fast/slow)** 12.4% 10.9% 9.1% -1.8% -3.3% Martial Arts (eg. Karate, Taekwondo etc) 9.4% 8.9% -0.5% - 2020. Football (flag) 7.6% 7.5% 8.7% 1.2% 1.1% Skateboarding 8.8% 8.5% 8.6% 0.1% -0.2% Since the first 2016 survey, running, Track & Field 9.5% 9.8% 8.6% -1.2% -0.9% flag football, and rugby have seen Football (tackle) 8.4% 7.6% 8.4% 0.8% 0.0% the largest growth in participation Volleyball (court) 10.3% 8.9% 8.1% -0.8% -2.2% rate. Cycling 8.2% 7.6% 8.1% 0.5% -0.1% Volleyball (sand/beach) 4.5% 3.8% 4.6% 0.8% 0.1% Sports with the lowest growth Wrestling 3.2% 3.0% 3.4% 0.4% 0.2% in LA county youth participation Surfing 3.9% 3.2% 3.3% 0.1% -0.6% Snowboarding 3.3% 3.0% 3.0% 0.0% -0.3% rate decrease include soccer, Hockey (Ice/Roller) 1.6% 2.2% 0.6% - softball, and baseball. Water Polo 2.9% 2.1% 2.0% -0.1% -0.9% Rugby 0.9% 1.1% 1.7% 0.6% 0.8% Did not play 18.5% 17.7% 17.3% -0.4% -1.2%

*For 2016 data, Soccer (outdoor) is shown; “Futsal” was added for the 2020 survey **In past surveys, fast-pitch and slow-pitch softball were separate sports. Past results for overall softball data is used for trends ***2016 participation rate revised ****Cheer/Drill/Dance Team was categorized as “Cheer/Dance” in the 2018 survey

Gymnastics, Martial Arts, Hockey, Cheer first measured in the 2018 study.

Inactivity adjusted for national levels age 6-17

• Sports with the highest participation rate for LA County male youth ages 6-17 are Top Sports Participation (% rate) by Gender basketball, soccer/futsal, and baseball. MALE FEMALE • Swimming, cheer/drill/dance team, and soccer/futsal are the most popular sports for Basketball Swimming female LA county youth. Soccer/Futsal Cheer/Drill/Dance Team Baseball Soccer/Futsal Swimming Running Running Gymnastics

Participation rate: % of LA County youth 6-17 yrs old Total Male Female participating Swimming 25.4% 24.5% 26.2% Basketball 24.3% 34.5% 13.5% Soccer/Futsal 24.2% 29.5% 18.6% Running 18.3% 18.5% 18.1% Baseball 14.6% 25.4% 6.1% Cheer/Drill/Dance Team 11.4% 1.7% 21.3% Tennis 9.8% 8.8% 10.8% Gymnastics 9.4% 3.1% 15.9% Softball (fast/slow) 9.1% 5.2% 13.0% Martial Arts (eg. Karate, Taekwondo etc) 8.9% 12.8% 5.0% Football (flag) 8.7% 14.2% 2.6% Skateboarding 8.6% 12.6% 4.4% Track & Field 8.6% 9.3% 7.7% Football (tackle) 8.4% 15.0% 0.7% Volleyball (court) 8.1% 5.0% 11.4% Cycling 8.1% 9.7% 6.5% Volleyball (sand/beach) 4.6% 3.1% 6.4% Wrestling 3.4% 5.4% 1.0% Surfing 3.3% 3.0% 3.7% Snowboarding 3.0% 3.5% 2.5% Hockey (Ice/Roller) 2.2% 2.8% 1.5% Water Polo 2.0% 2.3% 1.6% Rugby 1.7% 2.4% 0.8%

Sports with the most equal youth participation Top Sports by Gender (% of participants) by gender (percent of sport’s players) in LA County include tennis, swimming, running, MALE FEMALE surfing, and rugby. Football (tackle) Cheer/Drill/Dance/ Team Wrestling Gymnastics Football (flag) Volleyball (sand/beach) Hockey (ice/roller) Softball (fast/slow) Baseball Volleyball (court)

Sports Participation by Gender (% of sport's participants) Male Female

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Football (tackle) 96% 4% Wrestling 92% 8% Football (flag) 85% 15% Hockey (Ice/Roller) 83% 17% Baseball 80% 20% Skateboarding 75% 25% Water Polo 75% 25% Basketball 74% 26% Martial Arts (eg. Karate, Taekwondo etc) 69% 31% Cycling 65% 35% Soccer 62% 38% Snowboarding 59% 41% Track & Field 58% 42% Rugby 55% 45% Surfing 55% 45% Running 52% 48% Swimming 52% 48% Tennis 50% 50% Volleyball (court) 33% 67% Softball (fast/slow) 29% 71% Volleyball (sand/beach) 29% 71% Gymnastics 26% 74% Cheer/Drill/Dance Team 8% 92%

• Swimming & soccer/futsal participation remain steady for LA County youth until ages Top Sports Participation (% rate) by Age 15-17 years old, when it declines notably. 6~8 yrs 9~11 yrs 12~14 yrs 15~17 yrs • Participation in gymnastics and martial Swimming Swimming Basketball Basketball arts is highest when kids are 6-8 years old, then decreases with age. Soccer/Futsal Soccer/Futsal Swimming Soccer/Futsal • On the other hand, the participation rate for skateboarding, tackle football, track & field, Basketball Basketball Soccer/Futsal Swimming and volleyball (court) increases with age. Running Baseball Running Running Gymnastics Running Baseball Baseball

Total 6~8 yrs 9~11 12~14 15~17 Swimming 25.4% 28.0% 28.2% 25.5% 18.5% Basketball 24.3% 18.8% 24.8% 28.9% 26.0% Soccer/Futsal 24.2% 26.5% 25.8% 25.2% 18.7% Running 18.3% 18.1% 18.5% 18.3% 18.4% Baseball 14.6% 13.5% 20.4% 14.0% 16.6% Cheer/Drill/Dance Team 11.4% 13.0% 10.9% 12.5% 8.6% Tennis 9.8% 8.3% 8.7% 12.3% 10.0% Gymnastics 9.4% 14.1% 9.3% 8.0% 5.5% Softball (fast/slow) 9.1% 7.8% 8.3% 11.5% 8.8% Martial Arts (eg. Karate, Taekwondo etc) 8.9% 13.4% 9.6% 5.6% 6.7% Football (flag) 8.7% 7.6% 8.5% 10.3% 8.4% Skateboarding 8.6% 6.6% 7.5% 9.6% 11.1% Track & Field 8.6% 5.7% 7.5% 11.1% 10.9% Football (tackle) 8.4% 4.3% 5.2% 11.0% 14.2% Cycling 8.1% 6.8% 11.5% 7.9% 6.5% Volleyball (court) 8.1% 4.0% 7.4% 11.2% 11.1% Volleyball (sand/beach) 4.6% 3.9% 3.8% 5.7% 5.5% Wrestling 3.4% 2.9% 2.5% 3.4% 4.9% Surfing 3.3% 2.7% 2.4% 3.8% 4.5% Snowboarding 3.0% 2.9% 2.0% 3.7% 3.6% Hockey (Ice/Roller) 2.2% 3.1% 1.5% 2.1% 1.9% Water Polo 2.0% 2.2% 1.4% 2.1% 2.0% Rugby 1.7% 1.4% 1.4% 1.9% 2.3% ©2020 LA84 Foundation 17 Number of Sports

The average number of sports played by youth Average number of sports played in 2019 was 2.3, similar levels to the 2018 survey. Average number of sports played 3.0 2.7 2.3 2.5 2.2 2.0

1.5

1.0

0.5

0.0 2016 2018 2020

Number of Sports Played by LA County Youth 100% 10% 6% 8% 90% 12% 11% 80% 15% Six or more 70% 33% 33% 60% Four/Five 37% 50% Two/Three 40% % % of youth One 31% 30% 30% 19% 20% None 10% 19% 18% 17% 0% 2016 2018 2020

100% 1% 8% 6% 9% 9% 8% 8% 6% 5% 7% 8% 2% 4% 10% 9% 16% 12% 9% 9% 14% 13% 90% 10% 7% 10% 10% 19% 8% 8% 11% 12% 13% 11% 12% 9% 11% 80% 16% 20% 12% 14% 17% 70% 30% 30% 16% 31% 32% 31% 33% 33% 39% 29% 30% 60% 33% 30% 33% 36% Six or more 36% 37% 50% 37% 44% Four/Five 38% 38% 40% 32% 35% 33% 29% 35% 33% 31% 44% Two/Three 30% 30% 28% 29% 32% 32% 29% One 20% 23% 26%

% of LA county youth county % LA of 26% 21% 32% 22% 10% 18% 22% 20% 23% 21% 19% 20% None 17% 16% 17% 16% 15% 17% 12% 13% 11% 0% 3% 5% 7% 6~8 East Male Total 9~11 West North Metro White South <$35k 12~14 15~17 $150k+ Female $35~$75k $75~150k Hispanic/Latino Asian/Pacific Islander Black/African-American Total Gender Age Region Race/Ethnicity Household Income

As shown in the previous surveys, the average number of sports played increases as household income grows.

Average Number of Sports 4.5 3.9 4.0 2016 2018 2020 3.7 3.5 3.4 3.5 3.2 3.2 3.2 3.0 3.1 3.0 2.9 2.9 2.9 2.8 2.9 2.9 2.8 3.0 2.7 2.7 2.7 2.7 2.6 2.6 2.6 2.6 2.6 2.52.5 2.5 2.4 2.42.4 2.42.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.3 2.3 2.3 2.3 2.3 2.3 2.3 2.3 2.5 2.2 2.2 2.2 2.1 2.2 2.2 2.1 2.1 2.1 2.0 2.1 2.0 2.1 2.1 2.1 2.1 2.0 1.9 2.0 2.0 1.9 2.0 2.0 1.8 1.9 1.9 2.0 1.6 1.7 1.4 1.5 1.0 % of LA County Youth 0.5 0.0 6~8 East Male Total 9~11 West North Metro White South 12~14 15~17 <$35K F 6~11 F $150k+ Female M 6~11 M F 12~14 F 15~17 F M 12~14 M 15~17 M $35k-$74k $75k-$149k Hispanic/Latino Asian/Pacific Islander Black/African-American Total Gender Age Age/Gender Region Race/Ethnicity Household Income

• For LA County youth in households with <$35k, the average number of sports has decreased from 2016 to 2020. • Female youth continue to average a lower number of sports played than males.

120 114 112 115

100

20 Average ofnumber played times Average

0 2016 2018 2020

On average, active LA county youth participated in sports/ physical activity 115 times over the last year, up slightly from 2018.

2016 2018 2020 180.0 160.0 154 140 138 132 132 131 130 140.0 126 125 130 126 128 121122 122 121122 119122 119122 114 115 114 118 113 117 117 115 116 112 110 108 112112 110 110 109108 109 120.0 105102103 104 106103 107 102 106 96 95 96 97 95 94 99 100.0 84 80.0 60.0 40.0 20.0 0.0 Average number of timesplayed 6~8 East Male Total 9~11 West North Metro White South <$50k 12~14 15~17 $100k+ Female Hispanic $50k to to $50k $99k Asian/Pacific Islander Black/African-American Total Gender Age Region Race/Ethnicity Income

• Youth ages 12-14 years old have steadily increased their average play frequency since the 2016 survey. • From 2016 to 2020, lower-income households have decreased their average play frequency, while those more- affluent households have increased the number of times they play sports/physical activities.

LA County Youth: Play Occasions by Sport - Trend 100 90 2016 2018 2020 90 80 77 66 65 70 62 63 59 61 59 59 60 5856 60 55 54 53 55 52 51 52 52 50 50 51 48 49 47 47 46 47 47 50 44 44 45 44 4544 44 43 40 40 42 38 35 35 35 36 40 32 34 34 33 30 28 28 30 22 18 18 20 15 16 16 9 10 10 0 Average number of days played in last 12 in lastmonths of played days number Average

Cheer/dance/drill team (66 times) and skateboarding (65 times) NOTE: were the two sports with the highest average participation *For 2016 data, Soccer (outdoor) is shown; “Futsal” was added for the 2020 frequency in 2019. survey **In past surveys, fast-pitch and slow-pitch softball were separate sports. Past results for overall softball data is used for trends. ***2016 participation rate revised ****Cheer/Drill/Dance Team was categorized as “Cheer/Dance” for the 2018 survey.

Inactivity adjusted for national levels age 6-17

For each sport played, respondents are asked to select the way their child most commonly participates.

Type of Sports Participation – Trend by Survey Year

100% 1% 1% 90% 20% 28% 23% 80% Other 70% 33% 60% 36% Organized (outside of school) 32% 50% 40% Organized (school) 30% 47% Casual/pickup 20% 39% 40% % of LA County youth participants % ofyouth LA sports County 10% 0% 2016 2018 2020

Results are similar to the 2018 survey, with similar levels of casual play, slight growth in school-organized participation, and a minor decrease in organized play outside of school.

100% 1% 1% 1% 2% 1% 1% 1% 2% 1% 1% 1% 2% 3% 1% 1% 12% 12% 16% 19% 90% 23% 24% 21% 25% 20% 18% 20% 21% 23% 23% 25% 26% 27% 80% 32% 33% 35% Other 70% 45% 36% 34% 50% 40% 31% Organized (outside of school) 60% 36% 33% 40% 30% 39% 39% 44% 36% 36% 36% 28% 25% 22% 50% 48% 40% Organized (school) 30% 45% 47% 45% 47% % % ofparticipant youth 42% 41% 43% 20% 40% 38% 37% 40% 38% 41% 37% 41% 36% 35% 41% 40% Casual 10% 23% 0% 6~8 East Male Total 9~11 West North Metro White South <$35k 12~14 15~17 $150k+ Female $35~$75k $75~150k Islander American Asian/Pacific Black/African- Hispanic/Latino Total Gender Age Region Race/Ethnicity Household Income

• Casual sports is most likely to be played among males, while a higher percentage of females take part in organized (school participation) — a trend seen in past survey results. • Lower-income households take part in a notably higher percentage of school-organized physical activity compared to higher-income households, who are more likely to play casually.

100% 1% 3% 1% 1% 1% 1% 1% 2% 90% 17% 19% 19% 24% 22% 21% 23% 23% 28% 27% 30% 32% 80%

70% 22% 31% 34% Other 35% 31% 60% 34% 36% 26% 40% Organized (outside of school) 50% 38% 31% 48% Organized (school) 40% Casual 30% 59% 52% 46% 45% 47% 20% 44% 43% 40% 36% 31% 36% % of LA County youth playing sports playing youth County LA of% 10% 23%

0% 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 <$35K $35k to $74k $75k to $149k $150k or more

Casual Organized Organized All LA County Ranking: 100% 1% 3% 1% 1% 1% 1% 1% 2% (school) (outside of organized Total Projected Top Sports by Play Type - % of LA County Youth Players school) Organized Players CASUAL ORGANIZED ORGANIZED ORGANIZED (ALL) 90% 17% 19% 19% (SCHOOL) (NON-SCHOOL 24% 22% 21% 23% Softball (fast/slow pitch) 8.4% 54.3% 37.3% 91.6% 7 23% 28% 27% 30% 32% Volleyball (court) 11.0% 76.6% 12.0% 88.6% 9 Cycling Volleyball (court) Martial Arts Softball (fast/slow pitch) 80% Cheer/Drill/Dance Team 11.4% 61.9% 26.3% 88.2% 6 Swimming Track & Field Baseball Volleyball (court) Wrestling 13.3% 51.8% 35.0% 86.8% 17 Hockey (ice/roller) Cheer/Drill/Dance Team Soccer/Futsal Cheer/Drill/Dance Team 70% 22% Baseball 15.5% 39.5% 44.7% 84.2% 5 31% Volleyball Other Martial Arts 16.3% 18.7% 64.7% 83.4% 8 Water Polo Water Polo Wrestling 34% (sand/beach) 60% 34% 35% 26% 31% Football (tackle) 16.5% 55.9% 26.9% 82.8% 12 36% Softball (fast/slow 40% Organized (outside of school) Soccer/Futsal 16.8% 40.7% 41.0% 81.7% 1 Volleyball (sand/beach) Football (tackle) Baseball pitch) 50% 38% 31% Track & Field 18.7% 63.8% 17.0% 80.8% 13 48% Organized (school) Rugby 17.7% 54.3% 26.2% 80.5% 18 40% Football (flag) 20.8% 44.2% 35.0% 79.2% 14 Top Sports by Play Type – Casual Gymnastics 22.9% 39.6% 36.7% 76.3% 10 Total Projected # of LA County Youth Players** 30% Basketball 24.3% 47.0% 28.8% 75.8% 2 59% Tennis 27.9% 44.1% 27.7% 71.8% 11 CASUAL ORGANIZED (SCHOOL) ORGANIZED ORGANIZED (ALL) 52% (NON-SCHOOL) 44% 43% 46% 45% 47% Running 26.2% 49.8% 20.7% 70.5% 4 20% 40% Volleyball (sand/beach) 29.7% 30.1% 40.1% 70.2% 16 Swimming Basketball Soccer/Futsal Soccer/Futsal 36% 31% 36% % of LA County youth playing sports playing youth County LA of% Water Polo 31.1% 56.3% 12.6% 68.9% 19 Basketball Soccer/Futsal Swimming Basketball 10% 23% Hockey (ice/roller) 37.1% 23.8% 35.9% 59.7% 20 Swimming 40.4% 24.7% 32.4% 57.1% 3 Running Running Basketball Swimming 0% Cycling 56.6% 16.6% 26.0% 42.6% 15 Cycling Cheer/Drill/Dance Team Baseball Running

2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 Soccer/Futsal Swimming Martial Arts Baseball <$35K $35k to $74k $75k to $149k $150k or more **see sport profiles (starting on page 40) for total projected players

• Sports with the highest percentage of casual participants include cycling, swimming, and hockey. • Sports with the highest percentage of organized players are softball, volleyball (court), and cheer/drill/dance team.

For each sport played, respondents are asked to select the location where their children most often participate. Location of Sports Participation – Trend by Survey Year 100% 3% 5% 4% 5% 7% 90% 8% 80% Other 29% 32% 70% 31% College/university 60% Private non-profit 50% Private/commercial facility 40% 30% 62% School 53% 56% 20% Public facility 10% % of LA County participants youth County %of LA 0% 2016 2018 2020

Results are also similar to the 2018 survey, with a modest increase in participation at public facilities and schools.

100% 2% 4% 4% 4% 4% 6% 4% 2% 5% 1% 6% 4% 4% 6% 4% 4% 2% 6% 2% 10% 4% 1% 10% 1% 90% 7% 6% 7% 10% 7% 6% 8% 2% 9% 5% 5% 14% 7% 8% 12% 6% 80% Other 34% 33% 29% 22% 29% 36% 31% 25% 70% 32% 35% 33% 38% 31% 38% 33% 41% 22% 38% 27% College/University 60% 43% 50% Private non-profit 40% Private/commercial 62% 62% 30% 56% 58% 58% 57% 60% 58% 60% 53% 54% 54% 48% 53% 54% 51% 54% 52% 46% School

% % ofparticipant youth 20% 40% 10% Public facility (park, pool, field, club) 0% 6~8 East Male Total 9~11 West North Metro White South <$35k 12~14 15~17 $150k+ Female $35~$75k $75~150k Hispanic/Latino Asian/Pacific Islander Black/African-American Total Gender Age Region Race/Ethnicity Household Income

Older active youth are negatively correlated with play at public facilities, as the percentage who play most often there decreases with increasing age.

100% 2% 1% 1% 2% 2% 2% 1% 2% 1% 3% 4% 4% 4% 3% 3% 0% 4% 1% 4% 1% 3% 5% 6% 10% 5% 5% 8% 6% 8% 90% 6% 7% 9% 7% 6% 2% 1% 2% 6% 1% 11% 80% 28% 23% 1% 36% 29% 33% 25% 27% College/university 70% 34% 33% 29% Private non-profit 32% 60% 43%

Private/commercial 50% Other 40% School % of active LA County kids County LA % active of 67% 63% 62% 30% 61% 60% 57% 58% 52% 51% 52% Public facility 46% 20% 40%

10%

0% 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 <$35K $35k to $74k $75k to $149k $150k or more

Active youth in households with $35k or less increased their participation at schools from 2016 to 2020.

LA County Public Total Public Private Total Top Sports by Play Location - % of Participants facility Private / Private School (parks + (commercial Projected (park, pool, Commercial non-profit school) + non-profit) Players PUBLIC SCHOOL PRIVATE/ PRIVATE TOTAL TOTAL PRIVATE field, court) Ranking (PARK, ETC.) COMMERCIAL NON-PROFIT PUBLIC (COMMERCIAL + (PARK + NONPROFIT) Volleyball (court) 11.8% 77.1% 4.5% 0.9% 88.9% 5.4% 15 SCHOOL)

Baseball 48.3% 38.9% 5.1% 5.4% 87.2% 10.5% 5 Volleyball Volleyball Cycling Martial Arts Water Polo Martial Arts Volleyball (sand/beach) 40.6% 44.9% 4.0% 8.0% 85.5% 12.0% 17 (court) (court) Softball (fast/slow pitch) 33.8% 51.5% 5.9% 4.2% 85.3% 10.1% 9 Running 39.8% 45.0% 2.3% 3.6% 84.8% 5.9% 4 Baseball Track & Field Gymnastics Gymnastics Baseball Gymnastics Basketball 31.6% 53.2% 5.8% 5.5% 84.8% 11.3% 2 Volleyball Cheer/Drill/ Hockey Volleyball Soccer/Futsal 39.0% 42.8% 7.2% 8.0% 81.8% 15.2% 3 (sand/ Track & Field Swimming Dance Team (ice/roller) (sand/beach) Football (tackle) 27.8% 53.2% 5.9% 6.9% 81.0% 12.8% 14 beach) Football (flag) 39.0% 38.2% 4.8% 11.3% 77.2% 16.1% 11 Softball Hockey (ice / Basketball Swimming Swimming (fast/slow Hockey (ice/roller) Track & Field 17.3% 59.3% 5.9% 13.4% 76.6% 19.3% 13 roller) pitch) Tennis 30.5% 45.6% 11.5% 5.6% 76.1% 17.1% 7 Football Wrestling 24.0% 50.5% 12.7% 7.0% 74.5% 19.7% 18 Running Snowboarding Football (flag) Running Water Polo (tackle) Cycling 49.7% 22.4% 6.8% 5.3% 72.1% 12.1% 16 Cheer/Drill/Dance Team 15.4% 56.7% 16.2% 9.2% 72.1% 25.4% 6 Rugby 22.6% 47.7% 10.3% 10.3% 70.3% 20.6% 23 Water Polo 26.8% 39.9% 3.7% 23.7% 66.7% 27.4% 22 • Sports with the highest percentage of players most often Hockey (ice/roller) 40.1% 23.3% 21.0% 6.8% 63.4% 27.8% 21 playing at public venues (both parks and schools) include Swimming 39.0% 23.6% 16.9% 12.3% 62.6% 29.2% 1 volleyball (court), baseball, and volleyball (sand). Martial Arts 33.3% 24.3% 29.3% 11.0% 57.6% 40.3% 10 Gymnastics 14.1% 38.9% 25.1% 13.8% 53.0% 38.9% 8 • Sports with the highest percentage of players most often playing at private locations (commercial facilities and non- profits) include martial arts, gymnastics, and swimming.

Whether sport participants or non-participants, respondents are asked about each child’s interest in sports in the next year: “Are there any sports your child would like to play in the next 12 months?”

For the parents of children with interest in sports play over the next 12 months, a follow-up question was asked to detail on what sport their children were interested in.

Future Participation Among LA County Youth: Sports With Most Interest

25% 2016 2018 2020 22% 20% 20% 16% 15% 15% 14% 12% 11% 11%11% play 10% 9% 10% 8% 7% 7% 7% 7% 7% 6% 6% 6% 6% 5% 5% 4% 3%

% of youth interested in futuresports 0% Basketball Soccer Football Baseball Tennis Swimming Volleyball Gymnastics

Of the 54% of youth who are interested in future sport participation, basketball was the sport most frequently mentioned, followed by soccer and football.

The following table was made by comparing active sport participants by the open-ended responses provided when asked “What sports would you like to play?”

Responses were coded in categories of sports. For an example of reading this table, consider the first cell; this should be interpreted as 34% of soccer players who answered “yes” (to interest in sports participation next year) specified baseball as a desired sport.

Results should not be interpreted as an exact measure of latent demand as this question was not required to be answered by participants.

Sports Interested In Playing In the Next 12 Months Football/Flag Baseball Basketball Soccer Softball Swimming Tennis Volleyball Hockey Football Soccer 34% 28% 17% - 48% 18% 27% 30% 41% Swimming 27% 23% 28% 22% 19% - 27% 22% 28% Basketball 27% - 28% 15% 18% 32% 49% 20% 48% Running 33% 11% 13% 23% 50% 38% 19% 6% 12% Tennis 14% 14% 7% 5% 2% 10% - 21% 25% Baseball - 11% 7% 10% 17% 1% 11% 8% 18% Football (flag) 18% 9% - 4% - 5% 10% 7% - Football (tackle) 15% 8% - 4% - - 10% 9% 9% Gymnastics 9% 3% 7% 15% 4% 8% 15% 3% 15% Volleyball (court) 10% 9% 8% 11% 9% 2% 25% - - Cheer/Drill/Dance Team 6% 7% 9% 7% 7% 6% 11% 20% 16% Martial Arts (eg. Karate, Taekwondo etc) 19% 5% 7% 9% 2% 12% 8% - 4% Skateboarding - 4% 15% 6% 2% 3% 2% 8% 30% Sports Played in the Past Year Past the in Played Sports Track & Field 4% 7% 11% 1% 7% 4% 9% 6% 9% Cycling 6% 5% 4% 2% - 4% 8% 6% 22% Softball (fast/slow) - 6% 7% 1% - 1% 12% 2% - Volleyball (sand/beach) 7% 3% 7% 1% 2% 3% 11% - 16% Surfing - 6% 3% 1% - - - 3% -

Whether sport participants or non-participants, respondents were asked a new question to assess their child’s interest in sports after the COVID crisis: about each child’s interest in sports in the next year: “When normal activities can resume after the COVID-19 crisis, which sport or physical activity is your child most looking forward to playing?”

Sports Interested in Playing After COVID (those naming)

% of youth naming 0% 2% 4% 6% 8% 10% 12% 14% 16% 18%

Soccer 16% Basketball 14% Football/Flag Football 13% Swimming 9% Baseball 7% Dance/Ballet 6% Volleyball 6% Gymnastics/Gym 5% Running 5% Tennis 4% Cycling 3% Martial Arts 3%

Soccer and basketball were the sports with the highest interest in participation when normal activities have resumed after the COVID crisis.

PHYSICAL ACTIVITY / INACTIVITY AMONG LA COUNTY YOUTH

100% 90% 18.5% 17.7% 17.3% 80% 70% 60% 50% Inactive 40% 81.5% 82.3% 82.7% Active 30%

% of LA County youth County % LA of 20% 10% 0% 2016 2018 2020

Nearly 83% of LA County youth 6-17 years old were physically active for the 2020 survey, marginally up from the 2018 results.

2016 2018 2020 120%

97% 95% 93% 100% 88% 86% 85% 88% 88% 87% 89% 83% 84% 82% 83% 84% 85% 82% 84% 83% 81% 78% 77% 80% 77% 79% 80% 80% 67% 68% 60%

17 years old 17 years 40% 20% 0% 6~8 East Male Total 9~11 West North Metro White South 12~14 15~17 <$35K F 6~11 F $150k+ Female M 6~11 M F 12~14 F 15~17 F M 12~14 M 15~17 M $35k to to $35k $74k $75k to to $75k $149k Active Parents Active Hispanic/Latino Occ/Non-Active % of LA County Youth 6 - Youth LA County of% Asian/Pacific Islander Black/African-American Total Gender Age Age/Gender Parent Region Race/Ethnicity Household Income Physical Activity

• Since the 2016 survey, LA county male youths have decreased in overall activity while females have increased. • Physical activity among youth 6-8 years old has grown steadily while the percentage of active 15-17 years olds has declined. • Upper-income households continue to have the highest levels of activity compared to lower-income households.

2016 2018 2020 40% 35% 35% 33% 33%32% 28% 29% 30% 27% 27% 25% 22% 23% 25% 22% 22%21% 20% 19% 20% 20% 19% 18% 18% 18% 19% 20% 17% 16% 17% 17% 17% 15%16% 15% 16% 16% 14% 14% 14%15% 13% 13% 15% 12% 12% 11% 12% 12% 10% 11% 11% 8% 8% 10% 7%

% of LA County Youth 5% 5% 3% 0% 6~8 East Male Total 9~11 West North Metro White South 12~14 15~17 <$35K F 6~11 $150k+ Female M 6~11 F 12~14 F 15~17 F M 12~14 M 15~17 $35k to $74k $75k to $149k Hispanic/Latino Asian/Pacific Islander Black/African-American Gender Age Age/Gender Region Race/Ethnicity Household Income

Inactivity in <$35k households (32%) is over 4 times the inactivity rate of the highest income group ($150k with a 7% inactivity rate).

(*Inactive = not participating in any of the listed sports or specified an “other” sport.)

For those not playing a sport, an open-ended question was asked: “Why didn’t you participate in any sports in the past 12 months?” The responses were coded into several categories, shown below by the percentage of those not playing.

Non-Participants: Reasons for Not Participating in Sports Over the Past Year 45% 39% 40% 2016 2018 2020 35% 34% 35% 30% 25% 20% 18% 18% 16% 13%

answering) 15% 12% 10% 10% 5% 5% 6% 5% 4% 4% 4% 3% 4% 3% 3% 5% 3% 3% 2% 3%

% of youth not participating (those (those participating not youth of% 0% Not interested Doesn't like sport Cost/Too expensive Sports not offered at Health reasons Other non-sport Too young Too busy with school school interests work

• Lack of interest in sports was again the most frequent reason provided for those youth who are not interested in sports. • Among parents who provided reasons, financial cost was mentioned significantly more often in the 2020 survey than in previous years.

How to read this table: LA COUNTY YOUTH - INACTIVE VS ACTIVE PROFILE: INDICES • An index of 110 means players of Inactive Active this sport are 10% MORE likely to 2016 2018 2020 2016 2018 2020 Male 62 84 95 105 103 101 fall into that group Gender Female 145 117 106 94 97 99 • An index of 90 means players of 6~8 154 109 95 93 98 101 9~11 82 109 94 102 98 101 this sport are 10% LESS likely to Age fall into that group 12~14 72 93 88 103 101 102 15~17 81 88 129 103 102 95 M 6~11 62 95 107 105 101 99 M 12~14 69 64 91 104 106 101 Inactive LA County youth are M 15~17 56 83 70 106 103 105 Age/Gender relatively more likely to be: F 6~11 190 125 79 89 96 103 • Female F 12~14 74 124 84 103 96 103 • Ages 15 to 17 F 15~17 115 92 189 98 102 87 White 58 54 71 105 108 105 • Hispanic/Latino Hispanic/Latino 116 127 123 98 96 96 Race/Ethnicity • Lower-income household Black/African-American 145 107 108 94 98 99 Asian/Pacific Islander 108 89 73 100 101 104 <$35k 177 165 187 90 89 86 $35-$74k 143 105 116 95 99 97 Income Active LA County youth are $75k-$149k 42 67 64 107 105 106 relatively more likely to be: $150k or more 43 56 38 107 108 109 • Ages 6 to 14 North 140 94 116 95 101 98 South 96 132 96 101 95 100 • White or Asian/Pacific Islander LA County East 103 105 134 100 99 94 Household income of $75k+ Region West 87 60 20 102 107 114 Metro 22 97 28 110 101 111 P.E. classes P.E. classes 86 82 77 102 103 104 taken No P.E. classes 182 156 142 90 90 93

The participation rates/projections compares participation (percent of LA County youth playing) to the United States national youth participation rate from the Physical Activity Council’s annual study on sports and physical activity (www. physicalactivitycouncil.com).

The year listed refers to the year of the report publication; the figure shown is the value for the previous year. Numbers under 2016 represent the participation rate for the 2015 year, 2018 for 2017, and 2020 for 2019.

Due to the reassignment of SPA8 for the 2020 survey (see page 9), there are larger changes in projection participants for the West and South regions.

Some national participation rate splits by age/gender have been revised from totals published in the 2018 & 2016 reports.

The profile section provides a breakout as a percentage of total Calculating the Index participation within the sport. For example, the baseball income % of Baseball profile shows households over $150K at 18%; this indicates that % of LA County Participants in LA Index (% of baseball 18% of households with a baseball player between 6-17 years youth 6-17 yrs County / % of LA County) Male 54.3% 79.9% 147 old make over $150k. Female 45.7% 20.1% 44 6~8 27.0% 23.5% 87 Reading the INDEX 9~11 25.2% 35.5% 141 Each sport’s profile page contains an index table. An index 12~14 26.7% 18.5% 69 is a score given across several key demographics through a 15~17 21.1% 22.5% 107 comparison of two measures: dividing the profile of the sport White 33.3% 34.9% 105 Hispanic 48.3% 50.0% 104 (percentage of that sport’s LA County youth participants) by the Black/African-American 10.6% 10.1% 95 profile of the total LA County youth population. Asian/Pacific Islander 7.1% 5.0% 70 <$35k 21.1% 13.0% 62 For each category shown (e.g. male, 12-17), the figure $35-$74k 26.8% 30.4% 113 represents the likelihood that a participant of that sport is $75k-$149k 36.2% 38.9% 107 a member of that demographic. This comparison uses a $150k+ 15.9% 17.7% 111 starting point of 100, where 100 represents the baseline youth population of Los Angeles County.

Take this example. About 80% of LA County youth baseball players are male compared to 54% of the total LA County population. By dividing baseball by the total population, we get a index of 147 after normalizing to 100. This means the gender of a young LA County baseball player is 47% more likely to be male. On the other end, they are 66% less likely to be female. Why is it a “relative” term?

We describe this as a relative measure since it does not account for participation rate — the % of the entire LA county youth who participate in the sport. For baseball, players are relatively more likely to come from households making more than $150,000. This does not mean they form the majority of baseball players, only that they’re over-represented compared to the overall LA county youth population.

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 17.6% 16.1% 14.6% 28.0% 27.2% 25.4% 7.3% 5.3% 6.1% 13.5% 13.5% 13.5% 22.5% 18.9% 20.4% 17.9% 16.2% 14.0% 17.5% 16.4% 16.6% National Participation Rate (%) 13.7% 15.6% 16.8% 21.9% 26.6% 30.1% 4.3% 4.0% 3.9% 17.3% 19.2% 19.1% 16.4% 18.3% 18.1% 13.4% 15.3% 15.5% 10.9% 12.8% 12.1% Average Play Frequency (per year) 44.5 50.7 48.5 48.8 52.9 52.7 28.2 32.2 32.0 27.1 37.6 38.8 57.1 41.7 50.1 45.9 56.0 47.1 44.6 68.3 57.2

Type of Baseball Participation Among LA County Youth Location of Baseball Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 34% 52% Organized (non-school) 45% 44% Public facility 45% 48% 2016 33% 34% School 31% 39% Organized (school) 35% 2018 40% 4% 8% Private non-profit 2020 5% 34% 7% Casual/Pick-up 18% 8% Private/Commercial facility 16% 5% 3% 2% College/University 1% 2% Other 3% 1% 0% 4% Other 0%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 11.7% 11.8% 14.6% 20.2% 17.0% 14.0% 18.4% 16.5% 15.3% 15.0% 17.1% 17.0% 30.0% 23.3% 25.8% 17.6% 16.1% 14.6% -1.5% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 46.7 47.1 56.1 62.4 52.6 58.9 90.7 81.3 69.7 26.2 29.9 12.2 42.4 33.0 37.8 267.4 244.6 216.0 -11.7%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 11% 20% 21% 40% Male 146 175 147 80% 36% 35% 32% Female 46 23 44 30% 27% Ages 6~8 60% Female 25%24%24% 24% 25% 87 94 87 25% 21% 23% 23% Male 19% Ages 9~11 123 107 141 40% 89% 20% 79% 80% Ages 12~14 15% 95 97 69 % of participants 20% 10% Ages 15~17 95 102 107 5% White 105 120 105 0% 0% Hispanic/Latino 116 111 104 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 42 65 95 Asian/Pacific Islander 62 36 70 <$35k 46 102 62 Race/Ethnicity Household Income $35k~$74k 85 90 113 100% 0% 50% 100% $75k~$149k 131 104 107 14% 16% 18% $150k+ 130 111 111 56% 80% Hispanic/Latino 52% 50% 32% $150k+ 39% How to read this table: 34% 60% 51% White 35% 2016 $75k-$149k 35% An index of 110 means players of this sport are 10% 2018 40% MORE likely to fall into that group 5% 29% $35-$74k Black/African-American 8% 2020 An index of 90 means players of this sport are 10% 10% 30% 20% 27% <$35k LESS likely to fall into that group 4% Asian/Pacific Islander 4% 23% 9% 13% 5% 0% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 9 to 11 • White • Household income between $35k-$75k

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 26.5% 25.7% 24.3% 37.0% 37.6% 34.5% 14.8% 14.0% 13.5% 15.6% 18.4% 18.8% 30.2% 27.0% 24.8% 31.6% 31.2% 28.9% 30.4% 28.5% 26.0% National Participation Rate (%) 18.9% 19.4% 20.0% 25.3% 27.1% 30.6% 11.6% 12.0% 9.7% 14.5% 15.0% 15.8% 20.9% 21.4% 22.3% 23.7% 24.2% 25.6% 18.0% 18.5% 18.8% Average Play Frequency (per year) 54.71 62.9 51.8 47.93 66.8 57.2 71.06 52.0 36.7 52.02 42.4 36.1 38.1 51.6 47.5 53.45 85.6 60.9 75.13 63.9 60.6

Type of Basketball Participation Among LA County Youth Location of Basketball Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 48% 52% Organized (school) 42% 48% School 47% 53% 2016 31% 18% 36% Public facility 32% Organized (non-school) 31% 2018 29% 6% 2020 4% Private/Commercial facility 6% 33% 5% Casual/Pick-up 26% 8% Private non-profit 24% 6% 4% 2% College/University 1% 3% Other 1% 0% 2% 2% Other 1%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 22.0% 20.9% 22.7% 26.9% 26.1% 23.3% 27.1% 26.3% 23.5% 23.5% 27.4% 27.4% 39.4% 33.1% 30.7% 26.5% 25.7% 24.3% -1.4% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 87.8 83.5 87.4 82.9 80.7 98.2 133.3 129.3 106.9 41.3 48.1 19.7 55.7 46.9 45.1 401.6 390.1 360.0 -7.7%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 30% 26% 26% 35% Male 80% 30%31% 130 146 137 30% 28% 27% Female 70% 25% 64 53 56 24%25% 24% 60% Female 25% 22%23% 22% Ages 6~8 68 85 84 19% 50% Male 20% Ages 9~11 111 96 99 40% 70% 74% 74% 15% Ages 12~14 30% 113 120 116 % of participants 20% 10% Ages 15~17 115 98 102 10% 5% White 101 97 102 0% 0% Hispanic/Latino 89 94 90 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 136 125 133 Asian/Pacific Islander 105 103 111 <$35k 104 80 68 Race/Ethnicity Household Income $35k~$74k 90 104 101 100% 9% 0% 50% 16% 17% $75k~$149k 109 105 115 $150k+ 43% 80% 88 111 106 Hispanic/Latino 44% 43% 42% 33% $150k+ 60% 42% How to read this table: 33% $75k-$149k White 28% 2016 34% An index of 110 means players of this sport are 10% 2018 40% $35-$74k MORE likely to fall into that group 17% 28% 34% 2020 27% Black/African-American 15% <$35k An index of 90 means players of this sport are 10% 14% 20% LESS likely to fall into that group 6% 20% 18% 14% Asian/Pacific Islander 10% 8% 0% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 12 to 14 • Black/African American • Somewhat more affluent

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 LA County Participation Rate (%) 15.4% 11.4% 2.3% 1.7% 27.9% 21.3% 17.3% 13.0% 15.8% 10.9% 16.0% 12.5% 12.2% 8.6% National Participation Rate (%) 13.5% 14.0% 3.6% 3.4% 17.7% 16.1% 10.7% 11.3% 11.0% 11.0% 10.9% 10.5% 9.3% 9.0% Average Play Frequency (per year) 59.4 66.3 26.5 15.2 62.1 71.2 45.9 44.4 51.1 75.2 65.2 92.4 84.5 47.3

Type of Cheer/Dance/Drill Team Participation Among LA County Youth Location of Cheer/Dance/Drill Team Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 80% 60% 40% 20% 0%

47% Organized (school) 48% School 62% 57% 2018 24% Private/Commercial facility 42% 16% Organized (non-school) 26% 2020 11% Public facility 15% 11% Casual/Pick-up 11% Private non-profit 11% 9%

0%College/University 0% 2% Other 7% Other 1%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 % Participation Rate (%) 19.5% 13.6% 12.3% 10.3% 16.5% 10.6% 10.1% 10.8% 14.5% 11.6% 15.4% 11.4% -4.0% x Age 6-17 Population 398.9 384.4 308.8 421.0 492.7 455.3 175.4 71.9 141.5 146.9 1,517.3 1,479.5 -2.5% = Projected Players* 77.9 52.3 37.9 43.3 81.2 48.4 17.8 7.8 20.5 17.1 233.8 168.3 -28.0%

Gender Age Profile - Index 100% 2018 2020 90% 2018 2020 35% 32% 33% 80% 29% Male 15 15 70% 30% 27% 26% 25% Female 188 201 60% Female 21% 93% 92% 19% 50% Male 20% Ages 6~8 115 119 40% 14% 15% 30% Ages 9~11 105 82 % of participants 20% 10% Ages 12~14 102 124 10% 5% 7% 8% Ages 15~17 0% 0% 77 68 2018 2020 6~8 9~11 12~14 15~17 White 101 119 Hispanic/Latino 97 80 Black/African-American 140 192 Race/Ethnicity Household Income 100% Asian/Pacific Islander 64 20 0% 50% 9% 20% <$35k 104 69 80% White 29% $35k~$74k 87 89 40% 40% $150k+ 60% 42% $75k~$149k 127 116 2018 $75k-$149k Hispanic/Latino 46% 39% $150k+ 62 124 2020 40% 28% $35-$74k Black/African-American 17% 24% 20% 20% <$35k How to read this table: 24% 15% An index of 110 means players of this sport are 10% Asian/Pacific Islander 6% 1% 0% MORE likely to fall into that group 2018 2020 An index of 90 means players of this sport are 10% LESS likely to fall into that group

Players of this sport are relatively more likely to be: • Female • Ages 12 to 14 • Black/African-American • More affluent

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 8.2% 7.6% 8.1% 10.2% 9.0% 9.7% 6.0% 6.2% 6.5% 6.8% 6.5% 6.8% 9.6% 9.5% 11.5% 10.1% 8.6% 7.9% 6.4% 6.1% 6.5% National Participation Rate (%) 25.8% 26.0% 25.8% 29.0% 29.1% 30.0% 21.7% 21.8% 22.4% 25.0% 25.1% 25.8% 30.3% 30.4% 31.0% 26.1% 26.2% 27.1% 18.8% 18.9% 19.3% Average Play Frequency (per year) 58.6 39.6 52.5 51.6 40.4 38.6 69.1 38.3 78.0 77 27.1 60.3 64.6 31.9 51.1 50.7 33.1 47.7 31.2 74.4 51.7

Type of Cycling Participation Among LA County Youth Location of Cycling Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 80% 80% 60% 40% 20% 0% 60% 58% Casual/Pick-up 64% 55% Public facility 57% 50% 2016 5% 6% School 22% 22% Organized (non-school) 15% 2018 18% 26% 27% Other 2020 11% 12% 5% 5% Private/Commercial facility Organized (school) 9% 7% 17% 4% 5% College/University 7% 5% Other 12% 12% 3% Private non-profit 1% 5%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 5.7% 7.2% 7.1% 4.6% 4.4% 5.7% 7.4% 6.5% 7.0% 15.3% 12.8% 14.1% 16.3% 12.3% 13.9% 8.2% 7.6% 8.1% 0.5% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 22.8 28.6 27.2 14.2 13.5 24.1 36.6 32.2 31.8 26.9 22.5 10.2 23.1 17.5 20.5 124.8 115.5 120.3 4.2%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% Male 35% 50% 113 109 120 80% 39% 45% 39% Female 85 91 77 70% 40% 60% 34% Ages 6~8 94 90 82 Female 30% 27% 26% 50% 30% 24% Ages 9~11 115 133 155 Male 23%22% 22% 40% 19% Ages 12~14 119 95 82 65% 20% 18% 17% 30% 61% 55%

% of participants Ages 15~17 20% 74 80 80 10% 10% White 178 143 177 0% 0% Hispanic/Latino 51 87 55 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 70 24 86 Asian/Pacific Islander 98 150 68 <$35k 98 55 38 Race/Ethnicity Household Income $35k~$74k 65 61 57 100% $75k~$149k 114 179 139 0% 50% 100% 16% 12% 26% $150k+ 158 85 166 57% 80% White 42% 59% $150k+ 60% 44% 56% How to read this table: 25% $75k-$149k Hispanic/Latino 41% 2016 50% An index of 110 means players of this sport are 10% 27% 2018 40% $35-$74k MORE likely to fall into that group 9% 20% An index of 90 means players of this sport are 10% Black/African-American 3% 2020 20% 20% <$35k LESS likely to fall into that group 9% 15% 19% 6% 13% 8% Asian/Pacific Islander 15% 0% 5% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 9 to 11 • White • Household income of $150k or more

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 7.6% 7.5% 8.7% 12.6% 13.1% 14.2% 2.8% 2.1% 2.6% 7.3% 7.4% 7.6% 6.1% 6.2% 8.5% 10.9% 10.8% 10.3% 7.0% 5.7% 8.4% National Participation Rate (%) 4.0% 4.8% 5.2% 6.4% 8.1% 9.1% 1.2% 1.2% 1.2% 4.0% 4.7% 4.9% 4.2% 4.9% 5.2% 5.4% 6.1% 6.2% 3.5% 4.2% 3.8% Average Play Frequency (per year) 46.64 29.6 46.3 51.58 31.1 45.9 24.93 17.2 48.3 65.11 19.2 47.3 28.17 19.0 44.0 57.96 28.2 44.3 18.99 80.1 50.2

Type of Football (flag) Participation Among LA County Youth Location of Football (flag) Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 53% 28% Organized (school) 52% 31% Public facility 44% 39% 2016 47% 53% School 27% 38% Organized (non-school) 26% 2018 35% 9% 4% Private non-profit 2020 11% 16% 9% Casual/Pick-up 20% 3% College/University 21% 6% 4% 5% Private/Commercial facility 5% 5% Other 2% 4% 0% 4% Other 0%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 5.7% 6.5% 7.4% 9.6% 9.6% 10.2% 6.1% 6.4% 6.6% 8.6% 8.8% 11.4% 12.3% 8.2% 12.5% 7.6% 7.5% 8.7% 1.1% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 22.8 25.9 28.4 29.7 29.7 43.0 29.8 31.8 29.9 15.1 15.4 8.2 17.4 11.7 18.3 114.9 114.4 128.2 12.0%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 18% 10% 15% 90% 40% 37% Male 152 177 157 80% 35% 31% Female 40 20 33 70% 28% 29% 30% 26% 27% Ages 6~8 110 101 80 60% Female 24% 25% 22% 22% 50% 20% 20% Ages 9~11 76 88 110 90% 85% Male 20% 40% 82% 15% Ages 12~14 131 146 100 30% 15% Ages 15~17 % of participants 85 63 113 20% 10% White 120 112 126 10% 5% Hispanic/Latino 0% 0% 94 95 74 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 98 150 177 Asian/Pacific Islander 27 45 38 <$35k 122 92 71 Race/Ethnicity Household Income $35k~$74k 73 124 68 100% 11% 10% $75k~$149k 108 95 128 0% 50% 100% 20% $150k+ 109 68 128 38% 80% White 33% 30% 42% 42% $150k+ 60% How to read this table: 46% 2016 47% $75k-$149k Hispanic/Latino 45% An index of 110 means players of this sport are 10% 36% 2018 40% 40% MORE likely to fall into that group 23% $35-$74k 12% An index of 90 means players of this sport are 10% Black/African-American 18% 2020 18% <$35k 19% 20% LESS likely to fall into that group 24% 21% 2% 15% Asian/Pacific Islander 5% 0% 3% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 9 to 11, 15 to 17 • Black/African-American • Somewhat more affluent

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 8.4% 7.6% 8.4% 16.4% 14.6% 15.0% 0.7% 0.7% 0.7% 4.5% 4.3% 4.3% 4.8% 5.2% 5.2% 12.6% 9.8% 11.0% 14.6% 12.2% 14.2% National Participation Rate (%) 6.4% 5.9% 6.2% 11.3% 10.4% 11.7% 0.7% 1.1% 0.7% 2.1% 1.7% 2.2% 6.1% 5.7% 5.8% 9.3% 8.8% 8.9% 8.6% 8.1% 8.3% Average Play Frequency (per year) 60.02 35.5 50.2 62.44 36.8 52.0 8.71 12.5 39.9 38.49 24.7 38.6 41.27 64.5 48.7 85.1 25.2 53.3 56.34 30.3 56.3

Type of Football (tackle) Participation Among LA County Youth Location of Football (tackle) Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 51% Organized (school) 44% 56% 45% School 56% 53% 2016 20% 23% 38% Public facility 28% Organized (non-school) 34% 2018 27% 4% 2020 6% Private non-profit 7% 24% 10% Casual/Pick-up 20% 2% College/University 17% 6% 8% 5% Private/Commercial facility 1% 6% Other 1% 2% 1% 3% Other 0%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 7.7% 7.5% 8.0% 12.2% 10.8% 10.0% 4.8% 5.5% 7.1% 8.3% 7.7% 10.5% 14.3% 8.4% 9.3% 8.4% 7.6% 8.4% 0.8% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 30.7 29.9 30.7 37.5 33.2 41.9 23.5 27.1 32.1 14.5 13.5 7.5 20.2 11.8 13.7 127.3 115.2 124.3 7.9%

Gender Age Profile - Index 100% 5% 5% 4% 2016 2018 2020 2016 2018 2020 90% 45% Male 177 187 177 80% 38% 40% 35% 36% 35% Female 10 11 9 70% 35% 31% Ages 6~8 59 65 52 60% Female 30% 27% 50% Ages 9~11 96% 95% 96% Male 25% 21% 55 84 60 40% 20% 17% 16% 15% Ages 12~14 139 106 131 14% 14% 30% 15% Ages 15~17 % of participants 162 149 166 20% 10% White 124 81 127 10% 5% 0% 0% Hispanic/Latino 78 102 83 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 148 202 130 Asian/Pacific Islander 43 11 51 <$35k 132 137 67 Race/Ethnicity Household Income $35k~$74k 61 85 78 100% 11% 10% $75k~$149k 113 102 118 0% 50% 100% 22% $150k+ 109 70 140 40% 80% White 24% 32% 42% 44% $150k+ 60% 43% How to read this table: 38% 2016 $75k-$149k An index of 110 means players of this sport are 10% Hispanic/Latino 48% 27% 40% 40% 2018 19% $35-$74k MORE likely to fall into that group 18% An index of 90 means players of this sport are 10% Black/African-American 25% 2020 21% <$35k 14% 20% LESS likely to fall into that group 26% 31% 3% 14% Asian/Pacific Islander 1% 0% 4% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 15 to 17 • Black/African-American or White • Affluent

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 LA County Participation Rate (%) 9.4% 9.4% 1.8% 3.1% 16.6% 15.9% 12.7% 14.1% 10.6% 9.3% 9.0% 8.0% 4.9% 5.5% National Participation Rate (%) 5.7% 6.2% 1.9% 1.4% 10.8% 10.9% 9.8% 10.3% 6.2% 6.3% 4.4% 4.4% 3.3% 3.3% Average Play Frequency (per year) 47.6 49.8 26.6 34.4 50.0 55.6 43.8 43.6 43.9 47.7 60.8 71.3 40.9 41.7

Type of Gymnastics Participation Among LA County Youth Location of Gymnastics Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 80% 60% 40% 20% 0% 24% Organized (school) 28% 40% 39% School

2018 40% Private/Commercial facility 63% 25% Organized (non-school) 37% 2020 13% 14% Public facility 12% Casual/Pick-up 15% Private non-profit 23% 14%

3% 7% College/University 1% Other 1% 1% 2% Other

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 % Participation Rate (%) 12.6% 10.8% 5.9% 8.1% 10.1% 7.8% 8.2% 13.4% 7.9% 10.4% 9.4% 9.4% -0.1% x Age 6-17 Population 398.9 384.4 308.8 421.0 492.7 455.3 175.4 71.9 141.5 146.9 1,517.3 1,479.5 -2.5% = Projected Players* 50.4 41.6 18.4 33.9 50.0 35.7 14.3 9.7 11.1 15.3 143.1 138.6 -3.1%

Gender Age Profile - Index 100% 2018 2020 2018 2020 90% 50% 45% 80% Male 19 48 70% 40% 35% Female 184 162 60% 74% 91% Female 29% 50% 30% Ages 6~8 Male 24% 138 167 40% 22% 20% 20% Ages 9~11 115 85 30% 12%14% % of participants 20% Ages 12~14 10% 94 75 10% 26% 10% Ages 15~17 51 64 0% 0% 2018 2020 6~8 9~11 12~14 15~17 White 131 151 Hispanic/Latino 80 70 Black/African-American 124 119 Race/Ethnicity Household Income 100% Asian/Pacific Islander 89 48 0% 50% 100% 15% <$35k 51 30 80% 32% White 38% $35k~$74k 87 54 50% $150k+ 60% 46% $75k~$149k 146 129 37% $75k-$149k Hispanic/Latino 2018 $150k+ 34% 47% 106 202 40% $35-$74k 2020 Black/African-American 15% 28% 13% 20% <$35k How to read this table: 15% An index of 110 means players of this sport are 10% 12% Asian/Pacific Islander 9% 6% MORE likely to fall into that group 3% 0% 2018 2020 An index of 90 means players of this sport are 10% LESS likely to fall into that group

Players of this sport are relatively more likely to be: • Female • Ages 6 to 8 • White • Household income $150k+

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 LA County Participation Rate (%) 1.6% 2.2% 2.5% 2.8% 0.6% 1.5% 3.8% 3.1% 0.9% 1.5% 1.2% 2.1% 0.2% 1.9% National Participation Rate (%) 2.4% 2.3% 3.8% 3.7% 1.3% 1.2% 3.2% 3.1% 3.0% 3.0% 3.2% 2.7% 2.1% 2.2% Average Play Frequency (per year) 18.1 35.1 18.4 35.5 16.6 33.1 13.6 38.3 20.3 27.4 34.6 23.9 27.4 50.6

Type of Hockey (Ice/Roller) Participation Among LA County Youth Location of Hockey (Ice/Roller) Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 46% Casual/Pick-up 37% 33% Public facility 40% 2018 26% 31% School Organized (non-school) 23% 36% 2020 26% Private/Commercial facility 26% 21% Organized (school) 24% 11% College/University 9% 3% Other 3% Private non-profit 7%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 % Participation Rate (%) 1.0% 1.4% 0.8% 1.8% 2.6% 1.8% 1.8% 4.0% 1.2% 4.6% 1.6% 2.2% 0.6% x Age 6-17 Population 398.9 384.4 308.8 421.0 492.7 455.3 175.4 71.9 141.5 146.9 1,517.3 1,479.5 -2.5% = Projected Players* 4.1 5.2 2.6 7.5 12.9 8.1 3.1 2.9 1.7 6.8 24.6 32.2 30.8%

Gender Age Profile - Index 100% 2018 2020 90% 20% 17% 2018 2020 70% 80% 63% Male 157 154 70% 60% Female 41 36 60% Female 50% 50% Male 40% Ages 6~8 246 93 40% 80% 83% 30% 25% 24% 26% 25% Ages 9~11 30% 20% 58 96 % of participants 20% 20% 15% Ages 12~14 80 96 10% 10% 3% Ages 15~17 11 120 0% 0% 2018 2020 6~8 9~11 12~14 15~17 White 247 182 Hispanic/Latino 25 64 Black/African-American 21 52 Race/Ethnicity Household Income 100% Asian/Pacific Islander 96 45 0% 50% 100% 25% <$35k 52 7 80% 72% 43% $35k~$74k White 61 32 61% $150k+ 60% $75k~$149k 141 131 12% 44% $75k-$149k Hispanic/Latino 2018 $150k+ 31% 176 267 40% $35-$74k 47% 2020 Black/African-American 3% <$35k 6% 20% 20% How to read this table: An index of 110 means players of this sport are 10% 12% 9% Asian/Pacific Islander 10% 0% 1% MORE likely to fall into that group 3% 2018 2020 An index of 90 means players of this sport are 10% LESS likely to fall into that group

Players of this sport are relatively more likely to be: • Male • Ages 15 to 17 • White • High-income household

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 LA County Participation Rate (%) 9.4% 8.9% 14.8% 12.8% 4.3% 5.0% 15.6% 13.4% 8.8% 9.6% 6.3% 5.6% 6.5% 6.7% National Participation Rate (%) 4.7% 5.0% 6.0% 6.8% 3.2% 3.3% 6.2% 6.7% 6.3% 6.4% 5.0% 5.0% 3.0% 2.8% Average Play Frequency (per year) 61.5 60.9 58.8 73.7 72.1 32.3 50.7 43.6 77.6 62.3 48.3 56.6 81.7 97.4

Type of Martial Arts Participation Among LA County Youth Location of Marital Arts Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 80% 100% 60% 40% 20% 0% 82% Organized (non-school) 12% Public facility 65% 33%

2018 56% Private/Commercial facility 11% 29% Organized (school) 19% 2020 10% School 24% 4% Casual/Pick-up 9% Private non-profit 16% 11%

8% Other 3% 1% Other 0% 5% College/University 1%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 % Participation Rate (%) 14.0% 10.5% 3.6% 8.8% 9.1% 7.3% 10.1% 10.3% 9.6% 7.8% 9.4% 8.9% -0.5% x Age 6-17 Population 398.9 384.4 308.8 421.0 492.7 455.3 175.4 71.9 141.5 146.9 1,517.3 1,479.5 -2.5% = Projected Players* 55.7 40.4 11.1 37.1 45.0 33.2 17.8 7.4 13.6 11.5 143.1 132.4 -7.5%

Gender Age Profile - Index 100% 2018 2020 2018 2020 23% 31% 50% 80% 43% Male 152 127 40% 36% Female 60% Female 31% 47 68 30% Male 24% Ages 6~8 169 134 40% 77% 69% 20% 17%16% 16%17% Ages 9~11 96 124 % of participants 20% 10% Ages 12~14 66 58 0% 0% Ages 15~17 66 82 2018 2020 6~8 9~11 12~14 15~17 White 113 111 Race/Ethnicity Household Income Hispanic/Latino 88 91 100% 0% 50% 100% 15% 24% Black/African-American 90 83 80% Asian/Pacific Islander Hispanic/Latino 41% 119 142 44% $150k+ 60% 43% <$35k 45 56 $75k-$149k White 33% 49% 37% 2018 $35k~$74k 98 55 40% $35-$74k $75k~$149k 139 136 12% 2020 Asian/Pacific Islander 32% <$35k 10% 20% 15% $150k+ 105 151

Black/African-American 11% 10% 12% 9% 0% 2018 2020 How to read this table: An index of 110 means players of this sport are 10% MORE likely to fall into that group An index of 90 means players of this sport are 10% LESS likely to fall into that group

Players of this sport are relatively more likely to be: • Female • Ages 6 to 11 • White or Hispanic/Latino • Household income <$35k or $150k+

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 0.9% 1.1% 1.7% 1.2% 1.3% 2.4% 0.8% 0.8% 0.8% 0.5% 0.7% 1.4% 0.2% 0.5% 1.4% 1.7% 1.5% 1.9% 1.8% 1.7% 2.3% National Participation Rate (%) 0.6% 0.8% 0.8% 0.8% 1.3% 1.3% 0.4% 0.4% 0.2% 0.5% 0.7% 0.5% 0.5% 0.7% 0.6% 0.7% 0.9% 0.7% 0.6% 0.8% 0.7% Average Play Frequency (per year) 9.02 15.2 44.1 6.37 11.4 33.8 12.45 22.3 56.8 5.26 7.5 54.0 8 16.1 6.3 4.74 7.5 39.8 15.25 27.3 75.9

Type of Rugby Participation Among LA County Youth Location of Rugby Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 54% 15% Organized (school) 16% 37% School 54% 48% 2016 43% 44% Public facility 20% 23% Organized (non-school) 48% 2018 26% 10% 6% Private/Commercial facility 2020 10% 21% Casual/Pick-up 36% Private non-profit 18% 10% 32% 12% College/University 6% 7% Other 0% 2% Other 2%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 0.0% 0.4% 0.4% 0.8% 1.2% 2.4% 0.6% 0.8% 1.0% 1.9% 2.1% 3.1% 3.7% 2.4% 4.4% 0.9% 1.1% 1.7% 0.6% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 0.0 1.4 1.4 2.5 3.7 10.1 2.8 4.1 4.5 3.4 3.6 2.2 5.3 3.4 6.4 13.6 16.0 25.2 57.3%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% Male 109 124 101 80% 37% 45% 43% 42% 41% 45% Female 70% 40% 37% 90 75 98 33% 35% 31% Ages 6~8 60% Female 29% 60 75 158 50% 30% Ages 9~11 17 74 65 Male 25% 40% 19% 19% 20% 17% 16% Ages 12~14 166 117 115 30% 63% 59% 55% 15% % of participants 10% Ages 15~17 176 136 48 20% 10% 4% White 199 145 180 10% 5% 0% 0% Hispanic/Latino 57 103 43 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 28 79 143 Asian/Pacific Islander 0 0 0 <$35k 0 214 19 Race/Ethnicity Household Income $35k~$74k 58 21 85 100% 13% 7% $75k~$149k 177 122 144 0% 50% 100% 21% $150k+ 80% 123 47 133 64% 38% White 42% $150k+ 60% 60% How to read this table: 2016 69% 7% 52% $75k-$149k An index of 110 means players of this sport are 10% 28% 40% Hispanic/Latino 48% 2018 $35-$74k MORE likely to fall into that group 21% An index of 90 means players of this sport are 10% 2020 48% 20% <$35k 23% LESS likely to fall into that group 3% 18% Black/African-American 10% 0% 0% 4% 15% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 6 to 8 • White • Somewhat more affluent

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 16.5% 16.9% 18.3% 16.9% 18.1% 18.5% 15.3% 15.7% 18.1% 13.6% 14.4% 18.1% 18.1% 16.0% 18.5% 15.4% 18.6% 18.3% 18.3% 19.3% 18.4% National Participation Rate (%) 20.2% 20.5% 21.1% 20.2% 21.2% 23.4% 20.2% 19.8% 19.0% 14.7% 15.8% 15.9% 16.2% 17.3% 17.5% 22.5% 23.6% 23.9% 27.7% 28.8% 27.0% Average Play Frequency (per year) 53.91 59.4 52.8 44.22 62.2 51.3 64.42 55.8 54.4 39.02 44.2 45.0 40.24 65.6 73.9 72.5 55.3 44.3 68.88 73.8 45.6

Type of Running Participation Among LA County Youth Location of Running Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 47% 46% Organized (school) 45% 50% School 50% 45% 2016 34% 42% 36% Public facility 40% Casual/Pick-up 36% 2018 26% 6% 9% Other 2020 5% 9% 5% Organized (non-school) 13% 1% College/University 21% 4% 5% 2% Private non-profit 2% 4% Other 5% 4% 3% 3% Private/Commercial facility 2%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 11.7% 13.5% 13.3% 21.1% 20.3% 19.9% 16.5% 17.9% 18.5% 17.7% 17.7% 22.1% 18.2% 15.8% 24.0% 16.5% 16.9% 18.3% 1.4% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 46.7 53.9 51.3 65.1 62.8 83.6 81.2 88.1 84.2 31.0 31.0 15.9 25.8 22.4 35.3 249.6 257.2 270.8 5.3%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 35% Male 95 106 96 30% 80% 46% 30% 49% 48% 30% 27% 27% 27% 27% Female 106 94 105 70% 24% 26% 60% 25% 23% Ages 6~8 94 89 110 Female 20% 20% 19% 50% Male 20% Ages 9~11 106 80 107 40% 15% Ages 12~14 92 119 91 30% 54% % of participants 51% 52% Ages 15~17 20% 10% 108 112 89 10% 5% White 112 94 105 0% 0% Hispanic/Latino 83 94 105 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 102 119 62 Asian/Pacific Islander 152 131 96 <$35k 124 81 112 Race/Ethnicity Household Income $35k~$74k 86 100 69 100% 0% 50% 100% $75k~$149k 91 118 106 14% 13% 20% $150k+ 130 92 123 40% 80% Hispanic/Latino 44% 51% 35% 37% $150k+ 38% 36% 60% How to read this table: White 27% 2016 $75k-$149k 35% An index of 110 means players of this sport are 10% 2018 40% 27% $35-$74k MORE likely to fall into that group 9% 32% 19% Asian/Pacific Islander 13% 2020 7% <$35k An index of 90 means players of this sport are 10% 20% LESS likely to fall into that group 13% 24% 24% Black/African-American 14% 18% 7% 0% 2016 2018 2020 Players of this sport are relatively more likely to be: • Female • Ages 6 to 11 • White or Hispanic/Latino • Household income <$35k or $150k+

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 8.8% 8.5% 8.6% 13.8% 13.1% 12.6% 3.8% 4.0% 4.4% 6.6% 6.5% 6.6% 8.6% 8.2% 7.5% 8.8% 9.0% 9.6% 12.0% 10.6% 11.1% National Participation Rate (%) 6.9% 6.5% 6.6% 10.3% 9.7% 10.4% 3.0% 3.2% 2.8% 4.6% 4.3% 4.4% 6.7% 6.4% 6.6% 7.3% 7.0% 7.1% 5.8% 5.5% 5.6% Average Play Frequency (per year) 90.18 76.7 65.0 95.21 82.9 65.7 72.5 58.1 62.8 74.18 28.6 52.4 88.63 53.1 44.9 93.93 75.6 68.7 102.06 133.3 85.2

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 7.2% 8.1% 8.4% 9.9% 8.0% 8.5% 9.1% 8.3% 7.9% 8.6% 9.9% 9.4% 10.5% 9.5% 10.5% 8.8% 8.5% 8.6% 0.1% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 28.7 32.2 32.1 30.4 24.7 35.8 44.6 40.9 36.0 15.1 17.3 6.8 14.9 13.4 15.5 133.4 129.1 127.6 -1.1%

**Type & Location of Participation was not asked due to nature Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of of sport the regions to total participation rate and 6-17 population

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 22% 26% 25% 35% Male 145 145 139 80% 31% 31% 28% 28% Female 48 53 54 70% 30% 27% 25% 24%25% 25% Ages 6~8 87 78 78 60% Female 21% 21% 20% 20% Ages 9~11 93 98 79 50% Male 20% 40% Ages 12~14 78% 74% 75% 15% 93 112 117 30% Ages 15~17

% of participants 129 113 132 20% 10% White 10% 5% 86 112 97 Hispanic/Latino 107 100 115 0% 0% 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 120 95 94 Asian/Pacific Islander 48 74 20 <$35k 76 147 51 Race/Ethnicity Household Income $35k~$74k 92 70 93 100% $75k~$149k 116 106 128 0% 50% 100% 11% 11% 18% $150k+ 107 79 113 52% 80% Hispanic/Latino 47% 33% 55% 45% $150k+ 60% How to read this table: 28% 47% White 33% 2016 $75k-$149k An index of 110 means players of this sport are 10% 32% 23% 2018 40% $35-$74k MORE likely to fall into that group 15% Black/African-American 12% 2020 29% An index of 90 means players of this sport are 10% 10% 25% <$35k 20% 33% LESS likely to fall into that group 3% Asian/Pacific Islander 7% 15% 11% 1% 0% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 15 to 17 • White • Affluent

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 3.3% 3.0% 3.0% 3.8% 4.0% 3.5% 2.7% 2.1% 2.5% 1.4% 2.6% 2.9% 2.1% 2.3% 2.0% 6.6% 4.4% 3.7% 4.1% 3.4% 3.6% National Participation Rate (%) 4.2% 4.3% 5.1% 5.8% 5.7% 5.6% 2.8% 2.7% 3.0% 1.6% 1.5% 1.7% 3.7% 3.6% 3.6% 5.0% 4.9% 4.8% 5.8% 5.7% 5.6% Average Play Frequency (per year) 15.67 9.8 28.2 20.15 11.0 32.1 9.82 6.7 22.5 7.84 15.3 19.8 7.7 4.0 8.6 22.93 6.2 46.0 13.01 10.4 31.6

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 3.4% 2.9% 2.2% 4.3% 3.6% 3.7% 1.7% 1.8% 1.1% 5.1% 4.7% 5.9% 3.1% 3.9% 6.0% 3.3% 3.0% 3.0% -0.1% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 13.6 11.5 8.4 13.2 11.1 15.5 8.4 8.9 5.2 9.0 8.2 4.3 4.3 5.6 8.8 49.4 46.3 44.1 -4.6%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 27% 45% 42% Male 106 144 109 80% 43% 41% 40% 34% Female 93 55 90 70% 35% Ages 6~8 60% 30% 28% 28% 28% 49 133 89 Female 24% 50% 22% 24% Ages 9~11 63 88 79 Male 25% 20% 20% 40% 20% 16% Ages 12~14 73% 14% 191 79 104 30% 57% 59% 15% % of participants Ages 15~17 116 99 133 20% 10% White 10% 5% 150 179 210 0% 0% Hispanic/Latino 62 90 40 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 34 0 53 Asian/Pacific Islander 128 59 76 <$35k 0 0 20 Race/Ethnicity Household Income $35k~$74k 31 32 50 100% $75k~$149k 0% 50% 100% 16% 190 200 135 27% 33% $150k+ 158 195 210 48% 80% White 52% 70% $150k+ 60% How to read this table: 30% 2016 $75k-$149k Hispanic/Latino 42% 74% An index of 110 means players of this sport are 10% 19% 49% 2018 40% 63% $35-$74k MORE likely to fall into that group 4% An index of 90 means players of this sport are 10% Black/African-American 0% 2020 <$35k 6% 20% LESS likely to fall into that group 14% 8% 10% 10% Asian/Pacific Islander 6% 0% 4% 5% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 15 to 17 • Hispanic/Latino • Household income from $75k to $149k

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 28.8% 27.1% 24.2% 36.2% 34.4% 29.5% 21.6% 19.8% 18.6% 24.5% 27.0% 26.5% 34.3% 31.9% 25.8% 32.3% 28.5% 25.2% 26.1% 21.0% 18.7% National Participation Rate (%) 14.7% 13.3% 13.8% 16.9% 15.9% 16.6% 12.2% 11.1% 11.1% 19.0% 17.6% 18.4% 18.3% 16.9% 18.6% 13.4% 12.0% 13.7% 10.9% 9.5% 10.4% Average Play Frequency (per year) 52.04 57.5 55.6 47.92 55.5 60.3 58.81 61.2 47.8 39.58 60.5 40.5 40 53.9 56.9 62.44 64.7 60.2 73.8 45.4 75.8

Type of Soccer/Futsal Participation Among LA County Youth Location of Soccer/Futsal Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 44% 36% Organized (non-school) 48% 34% School 41% 43% 2016 42% 46% Public facility 39% 39% Organized (school) 31% 2018 41% 11% 8% Private non-profit 2020 8% 16% 6% Casual/Pick-up 20% 7% Private/Commercial facility 17% 7% 4% 3% College/University 1% 3% Other 0% 1% 1% 3% Other

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 26.3% 25.6% 20.0% 25.5% 24.8% 25.8% 29.5% 26.2% 22.2% 29.9% 27.3% 26.9% 37.1% 36.4% 33.0% 28.8% 27.1% 24.2% -2.9% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 104.9 102.1 77.0 78.6 76.5 108.6 145.3 128.9 100.9 52.4 48.0 19.4 52.5 51.6 48.5 436.2 410.5 358.1 -12.8%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 33% Male 116 124 115 35% 31% 80% 38% 37% 38% 29%30% 30% 27% 28% Female 82 75 82 70% 24% 25% 23% 23% Ages 6~8 95 121 122 60% Female 21% 50% Ages 9~11 114 119 93 Male 20% 16% 40% 15% 15% Ages 12~14 105 96 103 30% 62% 63% 62% Ages 15~17

% of participants 87 61 77 20% 10% White 10% 5% 99 102 88 Hispanic/Latino 0% 0% 118 113 123 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 59 54 53 Asian/Pacific Islander 38 95 65 <$35k 84 102 100 Race/Ethnicity Household Income $35k~$74k 103 92 86 100% $75k~$149k 0% 50% 100% 15% 12% 14% 94 114 117 $150k+ 145 84 86 57% 80% Hispanic/Latino 53% 36% 59% 37% 42% $150k+ 60% How to read this table: 32% $75k-$149k White 30% 2016 An index of 110 means players of this sport are 10% 29% 2018 40% 30% $35-$74k MORE likely to fall into that group 7% 32% 23% An index of 90 means players of this sport are 10% Black/African-American 7% 2020 <$35k 6% 20% LESS likely to fall into that group 23% 21% 2% 16% Asian/Pacific Islander 10% 0% 5% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 6 to 8 • Hispanic/Latino • Household income from $75k to $149k

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 12.4% 10.9% 9.1% 9.2% 6.6% 5.2% 15.3% 14.9% 13.0% 10.7% 10.5% 7.8% 12.8% 9.8% 8.3% 17.1% 13.4% 11.5% 9.6% 10.3% 8.8% National Participation Rate (%) 5.7% 5.9% 5.8% 2.9% 2.8% 2.6% 8.5% 8.4% 9.1% 4.0% 4.3% 4.6% 5.9% 5.8% 5.7% 6.5% 6.3% 6.4% 5.9% 5.8% 5.6% Average Play Frequency (per year) 51.1 37.8 54.8 42.7 26.6 55.9 56.0 40.8 54.4 52 31.1 25.4 44.5 46.5 28.8 38.5 34.8 83.6 79.4 41.5 62.5

Type of Softball (fast/slow pitch) Participation Among LA County Youth Location of Softball (fast/slow pitch) Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 39% 36% Organized (school) 36% 37% School 54% 52% 2016 51% 51% Public facility 35% 34% Organized (non-school) 45% 2018 37% 5% 2020 9% Private/Commercial facility 6% 25% 4% Casual/Pick-up 19% 2% Private non-profit 8% 4% 3% College/University 1% 4% Other 2% Other 1%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 11.7% 10.3% 7.5% 11.8% 11.1% 10.2% 12.4% 11.2% 7.8% 11.0% 8.1% 8.2% 16.7% 14.0% 14.5% 12.4% 10.9% 9.1% -1.8% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 46.7 41.2 28.7 36.5 34.3 43.0 60.9 55.0 35.7 19.2 14.2 5.9 23.6 19.8 21.2 187.8 164.7 133.9 -18.7%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% Male 68 41 54 40% 36% 80% 35% Female 137 160 155 70% 29% 63% 71% 30% 28%28% 27% Ages 6~8 99 111 70 60% 79% 26% 26% Female 24% Ages 9~11 50% 25% 21% 100 74 94 Male 19% 19% 18% 40% 20% Ages 12~14 130 101 134 30% 15% Ages 15~17 75 114 101 % of participants 20% 10% White 37% 29% 111 113 102 10% 21% 5% Hispanic/Latino 104 106 113 0% 0% Black/African-American 83 74 84 2016 2018 2020 6~8 9~11 12~14 15~17 Asian/Pacific Islander 30 72 37 <$35k 90 94 96 Race/Ethnicity Household Income $35k~$74k 96 93 74 100% $75k~$149k 100 117 121 14% 12% 0% 50% 100% 16% $150k+ 131 89 103 50% 80% Hispanic/Latino 50% 55% 39% 37% $150k+ 60% 44% How to read this table: 36% $75k-$149k An index of 110 means players of this sport are 10% White 33% 2016 34% MORE likely to fall into that group 2018 40% $35-$74k 30% 30% 10% 20% An index of 90 means players of this sport are 10% Black/African-American 9% 2020 <$35k LESS likely to fall into that group 9% 20% 18% 21% 20% 2% Asian/Pacific Islander 7% 0% 3% 2016 2018 2020 Players of this sport are relatively more likely to be: • Female • Ages 12 to 14 • Hispanic/Latino • Somewhat more affluent household

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 3.9% 3.2% 3.3% 5.0% 4.2% 3.0% 3.0% 2.2% 3.7% 2.2% 2.0% 2.7% 4.0% 2.9% 2.4% 5.1% 4.0% 3.8% 5.3% 4.5% 4.5% National Participation Rate (%) 1.4% 1.4% 1.6% 1.5% 1.8% 2.2% 1.2% 1.0% 0.9% 0.7% 0.8% 1.0% 1.2% 1.3% 1.4% 1.9% 2.0% 2.2% 1.7% 1.8% 1.8% Average Play Frequency (per year) 18.23 21.8 44.9 17.48 13.3 44.4 19.39 41.6 45.5 10.06 8.7 38.3 11.26 16.1 13.8 33.48 12.7 51.5 15.88 41.1 61.4

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 4.9% 3.6% 3.9% 2.9% 2.0% 2.3% 2.7% 2.5% 3.2% 5.1% 4.5% 4.9% 5.1% 5.0% 2.5% 3.9% 3.2% 3.3% 0.0% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 19.5 14.5 15.1 8.9 6.0 9.7 13.1 12.3 14.7 9.0 8.0 3.5 7.2 7.1 3.7 59.3 48.9 48.2 -1.4%

**Type & Location of Participation was not asked due to nature of sport

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 40% Male 114 136 101 80% 38% 31% 34% 45% 35% Female 30% 30% 30% 83 63 99 70% 28% 30% 26% 28% 60% 25% Ages 6~8 63 76 113 Female 25% 50% 19% Ages 9~11 98 69 55 Male 20% 18% 18% 40% 14% Ages 12~14 119 117 104 69% 15% 30% 62% 55% Ages 15~17 % of participants 128 140 132 20% 10% White 10% 5% 206 225 120 0% 0% Hispanic/Latino 45 39 116 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 27 0 38 Asian/Pacific Islander 35 150 0 <$35k 11 32 0 Race/Ethnicity Household Income $35k~$74k 35 39 96 100% $75k~$149k 0% 50% 100% 160 121 139 25% 24% $150k+ 237 304 152 22% 80% 43% Hispanic/Latino 18% 56% $150k+ 60% How to read this table: 66% $75k-$149k White 65% 2016 50% An index of 110 means players of this sport are 10% 40% 62% 2018 40% 38% $35-$74k MORE likely to fall into that group 3% An index of 90 means players of this sport are 10% Black/African-American 0% 2020 <$35k 4% 20% LESS likely to fall into that group 12% 26% 11% 2% 7% Asian/Pacific Islander 15% 0% 2% 0% 0% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 15 to 17 • White • Household income of $75k+

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 27.1% 26.7% 25.4% 27.4% 26.0% 24.5% 25.9% 27.1% 26.2% 30.4% 31.3% 28.0% 32.1% 29.6% 28.2% 25.4% 25.8% 25.5% 17.1% 18.5% 18.5% National Participation Rate (%) 12.9% 13.5% 13.8% 12.5% 13.1% 13.1% 13.4% 14.0% 16.0% 11.3% 11.9% 12.2% 14.1% 14.7% 16.0% 12.4% 13.0% 13.6% 13.7% 14.3% 14.5% Average Play Frequency (per year) 43.7 46.8 42.9 35.2 50.4 38.7 52.2 43.6 47.4 44.5 42.3 42.4 35.8 41.7 35.1 44.2 44.3 50.2 56.9 66.1 45.0

Type of Swimming Participation Among LA County Youth Location of Swimming Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 39% 33% Casual/Pick-up 35% 39% Public facility 40% 39% 2016 19% 37% 12% School 24% Organized (non-school) 41% 2018 32% 21% 20% Private/Commercial facility 2020 17% 21% 16% Organized (school) 16% 14% Private non-profit 25% 12% 7% 12% Other 3% 5% Other 8% 3% 3% 5% College/University 3%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 23.8% 25.7% 23.5% 27.0% 22.6% 21.3% 24.8% 25.3% 24.9% 34.2% 33.2% 30.2% 34.3% 33.0% 34.3% 27.1% 26.7% 25.4% -1.3% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 94.9 102.4 90.4 83.4 69.7 89.7 122.2 124.7 113.5 59.9 58.3 21.7 48.6 46.8 50.4 411.5 405.1 375.7 -7.3%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 40% Male 80% 35% 93 90 95 50% 48% 35% 33% 54% 30% Female 108 110 105 70% 28% 28% 28% 30% 26% 60% 24% Ages 6~8 Female 25% 124 129 103 50% 20% Male 17% Ages 9~11 115 103 112 40% 20% 15% 16% 30% 15% Ages 12~14 90 96 105

% of participants 50% 52% 20% 46% 10% Ages 15~17 64 70 77 10% 5% White 121 125 125 0% 0% 2016 2018 2020 6~8 9~11 12~14 15~17 Hispanic/Latino 83 79 84 Black/African-American 106 76 73 Asian/Pacific Islander 100 150 138 Race/Ethnicity Household Income <$35k 100% 65 49 55 0% 50% 100% 17% 22% 18% $35k~$74k 84 104 92 39% 80% $75k~$149k 112 106 126 White 36% 42% $150k+ $150k+ 167 159 113 60% 44% 33% 46% 40% $75k-$149k Hispanic/Latino 37% 2016 41% 2018 40% $35-$74k How to read this table: 6% 34% An index of 110 means players of this sport are 10% Asian/Pacific Islander 15% 2020 26% 25% <$35k 10% 20% MORE likely to fall into that group An index of 90 means players of this sport are 10% 13% 13% 11% 12% Black/African-American 9% 0% LESS likely to fall into that group 8% 2016 2018 2020

Players of this sport are relatively more likely to be: • Female • Ages 9 to 11 • Asian/Pacific Islander or White • Household income of $75k+

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 10.6% 9.1% 9.8% 8.9% 8.0% 8.8% 12.3% 10.1% 10.8% 10.5% 8.2% 8.3% 11.0% 8.8% 8.7% 13.0% 11.0% 12.3% 8.2% 8.7% 10.0% National Participation Rate (%) 8.2% 8.9% 9.2% 8.7% 9.1% 9.6% 7.6% 8.6% 8.7% 5.2% 5.8% 5.7% 8.1% 8.7% 8.7% 8.5% 9.1% 9.3% 10.7% 11.4% 10.8% Average Play Frequency (per year) 34.37 47.2 40.4 32.82 29.1 38.4 35.44 62.7 42.4 31.18 32.4 37.5 21.97 31.4 37.5 47.92 37.4 41.9 40.43 80.2 41.6

Type of Tennis Participation Among LA County Youth Location of Tennis Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 29% Organized (school) 23% 31% 25% School 44% 46% 2016 32% 42% 43% Public facility Casual/Pick-up 37% 2018 31% 28% 17% 2020 21% Private/Commercial facility 12% 30% 10% Organized (non-school) 37% 5% Private non-profit 28% 6% 10% 5% College/University 5% Other 3% 1% Other 2%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 6.6% 6.3% 7.0% 9.5% 7.0% 8.2% 7.1% 7.2% 7.1% 14.2% 15.3% 17.0% 31.3% 19.9% 21.4% 10.6% 9.1% 9.8% 0.6% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 26.3 25.0 26.9 29.4 21.7 34.4 35.0 35.3 32.4 24.8 26.8 12.2 44.2 28.1 31.4 160.6 138.8 144.9 4.4%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 40% Male 79 86 92 80% 35% 50% 35% 31% Female 125 114 110 70% 57% 56% 30% 30% 26% Ages 6~8 60% 26% 25% 109 81 80 Female 23% 23% 25% 21%22% 21% Ages 9~11 99 90 82 50% Male 19% 40% 20% Ages 12~14 112 120 130 30% 15% Ages 15~17 79 110 109 % of participants 43% 44% 50% 10% 20% White 134 181 180 10% 5% Hispanic/Latino 0% 0% 84 54 48 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 41 50 84 Asian/Pacific Islander 147 163 113 <$35k 54 27 10 Race/Ethnicity Household Income $35k~$74k 31 70 45 100% 0% 50% 100% $75k~$149k 158 164 143 19% 20% 34% $150k+ 178 142 214 43% 80% White 52% 60% $150k+ 60% How to read this table: 41% 51% $75k-$149k Hispanic/Latino 25% 2016 62% An index of 110 means players of this sport are 10% 23% 2018 40% 52% $35-$74k MORE likely to fall into that group 5% An index of 90 means players of this sport are 10% Black/African-American 6% 2020 <$35k 9% 20% LESS likely to fall into that group 10% 23% 9% 11% 12% Asian/Pacific Islander 16% 0% 6% 2% 8% 2016 2018 2020 Players of this sport are relatively more likely to be: • Female • Ages 12 to 14 • White • Affluent households

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 9.5% 9.8% 8.6% 10.6% 10.8% 9.3% 7.5% 8.8% 7.7% 4.2% 6.1% 5.7% 9.1% 8.7% 7.5% 14.0% 14.5% 11.1% 11.7% 11.3% 10.9% National Participation Rate (%) 4.5% 4.6% 5.4% 5.0% 6.2% 6.3% 3.9% 4.0% 4.6% 1.7% 1.8% 1.9% 3.0% 3.1% 3.1% 6.5% 6.6% 6.7% 7.6% 7.7% 7.6% Average Play Frequency (per year) 35.21 44.9 43.9 30.98 41.3 46.4 40.24 49.2 40.2 16.73 36.6 43.0 30.21 30.3 54.0 44.46 42.5 41.4 39.97 68.7 39.2

Type of Track & Field Participation Among LA County Youth Location of Track & Field Participation Among LA County Youth % of participants 0% 20% 40% 60% 80% % of participants 80% 60% 40% 20% 0% 69% Organized (school) 63% 69% 66% School 64% 59% 2016 13% 17% 21% Public facility Casual/Pick-up 13% 2018 17% 19% 2020 3% Private non-profit 13% 13% 8% Organized (non-school) 24% 7% Private/Commercial facility 17% 6% 2% 2% Other 1% 2% Other 1% 9% 2% College/University 2%

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 8.6% 8.6% 6.6% 13.0% 9.8% 7.1% 8.7% 11.6% 8.4% 6.7% 8.8% 11.4% 10.9% 9.1% 15.2% 9.5% 9.8% 8.6% -1.2% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 34.3 34.4 25.4 40.1 30.2 29.9 42.6 56.9 38.3 11.7 15.4 8.2 15.5 12.9 22.4 144.6 149.3 127.0 -14.9%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% Male 40% 36% 103 105 107 80% 42% 45% 47% 35% 32% Female 97 95 92 70% 30% 30% 28% 28% Ages 6~8 53 79 72 60% Female 25% 25% 25% 22% Ages 9~11 98 77 87 50% Male 20%20% 20% 20% 40% 15% Ages 12~14 142 142 106 15% 30% 55% 53% 58% Ages 15~17 % of participants 120 102 144 20% 10% White 88 89 119 10% 5% Hispanic/Latino 0% 0% 97 102 82 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 123 117 145 Asian/Pacific Islander 117 106 73 <$35k 77 65 57 Race/Ethnicity Household Income $35k~$74k 83 108 44 100% $75k~$149k 112 112 157 0% 50% 100% 15% 15% 19% $150k+ 148 109 119 28% 80% White 26% 40% 35% $150k+ 60% 44% How to read this table: 47% 57% $75k-$149k Hispanic/Latino 48% 2016 An index of 110 means players of this sport are 10% 40% 2018 40% $35-$74k MORE likely to fall into that group 35% 15% 26% An index of 90 means players of this sport are 10% Black/African-American 14% 2020 <$35k 15% 20% 12% LESS likely to fall into that group 7% 15% 15% 12% Asian/Pacific Islander 11% 0% 5% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 15 to 17 • Black / African-American • Household income from $75k to $149k

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 10.3% 8.9% 8.1% 6.7% 5.6% 5.0% 13.4% 12.0% 11.4% 5.5% 4.5% 4.0% 11.7% 7.5% 7.4% 15.4% 13.6% 11.2% 10.1% 11.7% 11.1% National Participation Rate (%) 5.2% 5.2% 5.7% 2.3% 2.0% 1.7% 8.4% 9.3% 9.6% 1.4% 1.4% 1.4% 4.8% 4.8% 5.0% 9.2% 9.2% 9.3% 5.4% 5.4% 5.5% Average Play Frequency (per year) 32 44.0 47.5 18.32 30.5 35.6 38.29 49.9 53.4 26.22 11.9 82.6 33.3 20.5 30.1 31.75 41.4 42.8 34.97 62.7 52.0

Type of Volleyball (court) Participation Among LA County Youth Location of Volleyball (court) Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 80% 100% 100% 80% 60% 40% 20% 0% 55% 54% Organized (school) 67% 73% School 77% 77% 2016 19% 20% Public facility 23% 12% Organized (non-school) 18% 2018 12% 4% College/University 2020 6% 21% 10% Casual/Pick-up 16% 4% Private/Commercial facility 11% 5% 12% 4% Private non-profit 1% 1% Other 0% 1% 0% Other

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 10.6% 8.5% 5.2% 6.2% 6.4% 8.3% 7.8% 8.8% 7.7% 12.1% 11.1% 12.4% 22.8% 13.3% 12.1% 10.3% 8.9% 8.1% -0.8% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 42.3 33.9 20.1 19.3 19.7 35.0 38.2 43.4 35.0 21.3 19.4 8.9 32.3 18.8 17.8 155.7 135.6 120.4 -11.2%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 45% Male 59 60 60 39% 80% 40% 38% Female 148 141 147 70% 68% 70% 67% 35% 31% 32% Ages 6~8 60% 28% 30% 60 47 48 Female 30% 25% 24% Ages 9~11 110 42 100 50% Male 25% 40% 20% 17% Ages 12~14 141 152 119 30% 13% 15% 12% 11% Ages 15~17 100 162 142 % of participants 20% 32% 30% 33% 10% White 141 150 144 10% 5% Hispanic/Latino 72 72 86 0% 0% 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 100 84 92 Asian/Pacific Islander 87 119 13 <$35k 59 37 28 Race/Ethnicity Household Income $35k~$74k 58 98 95 100% $75k~$149k 138 132 136 0% 50% 100% 17% 19% 19% $150k+ 163 135 121 45% 80% White 44% 48% $150k+ 60% 41% How to read this table: 35% 54% 49% $75k-$149k Hispanic/Latino 34% 2016 An index of 110 means players of this sport are 10% 41% 2018 40% $35-$74k MORE likely to fall into that group 12% An index of 90 means players of this sport are 10% Black/African-American 10% 2020 32% <$35k 10% 20% 18% 25% LESS likely to fall into that group 5% 11% 8% Asian/Pacific Islander 12% 0% 6% 1% 2016 2018 2020 Players of this sport are relatively more likely to be: • Female • Ages 15 to 17 • White • Middle class-to-affluent households

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 4.6% 3.8% 4.6% 4.6% 3.3% 3.1% 4.6% 4.4% 6.4% 3.5% 2.5% 3.9% 4.1% 3.3% 3.8% 5.9% 5.3% 5.7% 5.7% 4.5% 5.5% National Participation Rate (%) 1.3% 1.4% 1.4% 1.3% 1.2% 1.1% 1.4% 2.1% 1.6% 0.3% 0.3% 0.4% 0.5% 0.5% 0.6% 1.8% 1.8% 1.7% 2.8% 2.8% 2.9% Average Play Frequency (per year) 19.71 32.4 28.1 6.92 11.6 28.8 32.06 41.5 27.8 9.6 72.9 22.7 13.79 19.5 28.5 31.71 24.9 24.8 21.74 30.2 37.2

Type of Volleyball (sand/beach) Participation Among LA County Youth Location of Volleyball (sand/beach) Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 80% 60% 40% 20% 0% 25% 12% Organized (non-school) 16% 29% School 40% 45% 60% 2016 44% Public facility 24% 41% Organized (school) 33% 2018 30% 2% 7% Private non-profit 2020 8% 50% 12% Casual/Pick-up 46% 10% Private/Commercial facility 30% 4% 12% College/University 1% 3% Other 5% 1% 0% 10% Other

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 3.2% 3.1% 2.8% 3.5% 2.6% 4.2% 1.7% 1.9% 2.9% 6.7% 5.4% 6.9% 16.7% 12.6% 13.4% 4.5% 3.8% 4.6% 0.8% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 12.7 12.3 10.6 10.9 7.9 17.5 8.4 9.1 13.0 11.7 9.5 5.0 23.6 17.8 19.7 68.0 57.8 68.6 18.5%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 50% Male 92 61 53 80% 50% 39% Female 109 140 156 70% 40% 69% 71% Ages 6~8 83 57 95 60% 30% Female 28% 50% 30% 26% 26% 26%25% Ages 9~11 86 83 77 Male 24% 22% 40% 21%20% Ages 12~14 119 153 112 20% 30% 15% Ages 15~17 % of participants 50% 117 108 119 20% 31% 10% 10% 29% White 160 218 154 0% 0% Hispanic/Latino 69 40 81 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 76 79 55 Asian/Pacific Islander 68 50 51 <$35k 19 47 31 Race/Ethnicity Household Income $35k~$74k 49 88 81 100% $75k~$149k 0% 50% 100% 17% 165 118 124 24% 27% $150k+ 162 174 170 51% 80% White 63% 51% $150k+ 60% 37% How to read this table: 33% $75k-$149k Hispanic/Latino 19% 2016 64% 45% An index of 110 means players of this sport are 10% 39% 2018 40% $35-$74k MORE likely to fall into that group 9% An index of 90 means players of this sport are 10% Black/African-American 10% 2020 28% <$35k 6% 20% 22% LESS likely to fall into that group 15% 4% 11% 7% Asian/Pacific Islander 5% 0% 4% 4% 2016 2018 2020 Players of this sport are relatively more likely to be: • Female • Ages 12 to 17 • White • Affluent households

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17

2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020

LA County Participation Rate (%) 2.9% 2.1% 2.0% 4.0% 2.8% 2.3% 1.8% 1.4% 1.6% 2.1% 1.6% 2.2% 2.9% 1.7% 1.4% 2.3% 2.2% 2.1% 4.7% 3.1% 2.0%

Average Play Frequency (per year) 15.8 27.6 33.0 18.6 18.0 29.9 10.1 44.6 42.5 7.3 2.3 50.6 11.6 9.0 17.8 10.2 49.5 15.9 26.8 29.3 55.6

Type of Water Polo Participation Among LA County Youth Location of Water Polo Participation Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 52% 49% Organized (school) 32% 50% School 56% 40% 2016 34% 33% Public facility 20% 27% Casual/Pick-up 29% 2018 31% 4% 6% Private non-profit 2020 24% 21% 8% Organized (non-school) 39% 11% College/University 13% 6% 3% Private/Commercial facility 7% 4% Other 0% 2% 0% Other

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 1.4% 0.9% 0.6% 2.3% 1.6% 2.2% 2.2% 1.8% 1.5% 5.5% 4.6% 4.9% 7.5% 4.4% 3.4% 2.9% 2.1% 2.0% -0.2% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 5.6 3.4 2.4 7.1 4.9 9.1 10.7 9.1 7.0 9.7 8.0 3.5 10.6 6.2 5.1 44.5 32.3 28.9 -10.3%

Gender Age Profile - Index 100% 2016 2018 2020 2016 2018 2020 90% 25% 40% 37% Male 124 126 138 80% 33% 36% 35% 36% 35% Female 72 73 54 70% 30% 30% 26% Ages 6~8 78 95 95 60% Female 24% 24% 50% 25% 22% Ages 9~11 Male 19% 94 45 147 20% 18% 18% 40% 75% Ages 12~14 81 139 69 67% 64% 30% 15% 11% Ages 15~17 % of participants 150 122 90 20% 10% White 157 174 138 10% 5% Hispanic/Latino 0% 0% 81 0 95 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 72 97 76 Asian/Pacific Islander 0 377 0 <$35k 95 26 0 Race/Ethnicity Household Income $35k~$74k 5 54 104 100% $75k~$149k 154 142 73 0% 50% 100% 20% 33% $150k+ 192 232 288 39% 80% 46% Hispanic/Latino 0% 46% $150k+ 60% How to read this table: 50% $75k-$149k White 51% 2016 60% An index of 110 means players of this sport are 10% 46% 44% 2018 40% 26% $35-$74k MORE likely to fall into that group 9% An index of 90 means players of this sport are 10% Black/African-American 12% 2020 <$35k 8% 20% 2% LESS likely to fall into that group 18% 28% 19% 0% Asian/Pacific Islander 38% 0% 6% 0% 0% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 9 to 11 • White • Affluent households with $150k+ income

Total Male Female Ages 6~8 Ages 9~11 Ages 12~14 Ages 15~17 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 LA County Participation Rate (%) 3.2% 3.0% 3.4% 4.8% 4.5% 5.4% 1.8% 1.4% 1.0% 1.4% 1.9% 2.9% 2.9% 1.7% 2.5% 2.7% 2.6% 3.4% 7.0% 6.2% 4.9% National Participation Rate (%) 1.5% 1.5% 1.7% 2.3% 2.7% 3.1% 0.5% 0.6% 0.4% 0.8% 0.8% 1.0% 1.4% 1.4% 1.4% 1.9% 1.9% 1.8% 2.5% 2.5% 2.6% Average Play Frequency (per year) 35.69 41.8 33.7 45.1 51.1 31.8 10.74 10.8 63.7 4.58 20.5 13.6 49.55 5.4 26.3 13.32 35.8 48.7 46.47 64.6 49.6

Type of Wrestling Participation Among LA County Youth Location of Wrestling Participation Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 53% Organized (school) 36% 47% 44% School 52% 51% 2016 19% 3% 9% Public facility 24% Organized (non-school) 35% 2018 35% 3% 18% Private/Commercial facility 2020 13% 36% 14% Casual/Pick-up 25% 14% Private non-profit 13% 7% 2% 12% College/University 8% 6% Other 3% 16% 3% Other

Population and projections are in thousands *Rounding may cause differences in projected players when comparing the sum of the regions to total participation rate and 6-17 population

Projected Number of Players (by Region) North South East West Metro Total change 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 % Participation Rate (%) 2.9% 2.9% 2.9% 3.2% 2.0% 2.7% 2.1% 3.3% 3.0% 4.7% 3.0% 3.3% 5.8% 4.4% 6.7% 3.2% 3.0% 3.4% 0.4% x Age 6-17 Population 398.6 398.9 384.4 308.5 308.8 421.0 492.3 492.7 455.3 175.2 175.4 71.9 141.4 141.5 146.9 1,516.1 1,517.3 1,479.5 -2.5% = Projected Players* 11.5 11.7 11.2 9.9 6.3 11.2 10.3 16.1 13.6 8.2 5.2 2.3 8.1 6.2 9.9 48.2 44.9 49.7 10.8%

Gender Age Profile - Index 100% 2016 2018 2020 8% 2016 2018 2020 90% 27% 22% 60% Male 135 154 170 80% 48%48% Female 70% 50% 59 45 17 Ages 6~8 48 93 105 60% Female 40% 50% Ages 9~11 92% Male 28% 30% 85 23 86 40% 78% 30% 24% 23% Ages 12~14 73% 22% 22% 20% 76 91 112 30% 20% 17% Ages 15~17 % of participants 14% 201 198 94 20% 10% 10% 6% White 129 166 110 Hispanic/Latino 0% 0% 105 80 103 2016 2018 2020 6~8 9~11 12~14 15~17 Black/African-American 53 69 97 Asian/Pacific Islander 0 58 32 <$35k 5 118 90 Race/Ethnicity Household Income $35k~$74k 71 87 47 100% $75k~$149k 0% 50% 100% 14% 12% 15% 163 108 148 $150k+ 130 83 95 51% 80% Hispanic/Latino 38% 34% 50% $150k+ 60% 54% How to read this table: 41% 63% $75k-$149k White 48% 2016 An index of 110 means players of this sport are 10% 37% 2018 40% 28% $35-$74k MORE likely to fall into that group 7% An index of 90 means players of this sport are 10% Black/African-American 8% 2020 13% <$35k 10% 20% LESS likely to fall into that group 22% 27% 0% 19% Asian/Pacific Islander 6% 0% 1% 2% 2016 2018 2020 Players of this sport are relatively more likely to be: • Male • Ages 12 to 14 • White • Household income from $75k to $149k

Frequency of Website/Publication Usage Among LA County Youth *results are recalculated to remove Regularly Occasionally Never “don’t know” responses % of youth 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

ESPN (website/magazine) 27% 24% 49%

Pro league website 22% 27% 50%

FoxSports.com 19% 26% 55%

Sports Illustrated (website/magazine) 18% 28% 54%

Individual athlete's website 19% 30% 51%

General news publications 17% 28% 56%

NBCSports.com 17% 29% 54%

Association website/magazine 17% 24% 59%

Other 12% 21% 67%

27% of LA County youth were reported to use ESPN regularly, the highest level of use among sports-related websites.

% of Youth Never Using Websites % of Youth Regularly Using Websites % of Youth Occasionally Using Websites

% of youth regularly using % of youth using % of youth using 0% 50% 100% 0% 5% 10% 15% 20% 25% 30% 35% 0% 20% 40% 60% 30% 27% Association website/magazine (e.g. 75% ESPN (website/magazine) 15% Individual athlete's website 21% USA Football) 27% 30% 59% 27% 20% General news publications (e.g. 57% Pro league website 12% NBCSports.com 20% 70% 29% sports section of LA Times) 22% 56% 25% 16% Sports Illustrated 52% 11% 16% Individual athlete's website (website/magazine) FoxSports.com 69% 19% 28% 55% 21% 24% General news publications 20% FoxSports.com 11% Sports Illustrated 57% 2016 28% 73% 19% (website/magazine) 54% 19% 2018 27% Sports Illustrated (website/magazine) 11% Pro league website 19% 2020 27% 58% 18% NBCSports.com 71% 15% 27% 54% NBCSports.com 9% FoxSports.com 19% 17% 26% 57% 69% 24% Individual athlete's website 16% Association website/magazine (e.g. 51% Association website/magazine 9% 16% USA Football) 24% 17% 53% 19% 22% Pro league website (e.g. NBA.com) 69% General news publications 10% ESPN (website/magazine) 21% 50% 17% 24% 47% 4% 4% ESPN (website/magazine) 64% Other 8% Other 3% 49% 12% 21%

Don't know/not sure, 3%

No, 17%

Yes, 80%

In the 2020 survey, 82% of LA County youth were reported to be enrolled in a P.E. or physical activity class at school, slightly higher than 79% in 2018.

% of LA County Youth enrolled in P.E. (rebased to remove “don’t know”)

100% 88% 90% 82% 79% 80%

70%

60%

50%

40%

30%

20%

10%

2016 2018 2020

100% 92% 93% 93% 94% 93% 92% 91% 88% 88% 88% 90% 89% 90% 87% 86% 87% 85% 87% 87% 86% 90% 82% 82% 83% 84% 85% 84% 85% 84% 84% 85% 84% 83% 84% 84% 79% 80% 81% 77% 78% 77% 79% 78% 79% 80% 72% 70% 60% 50% 40% 30%

% of LA County youth 20% 10% 0% 6~8 East Male Total 9~11 West North Metro White South Active <$35k 12~14 15~17 $150k+ Female Inactive $35-$74k $75k-$149k Hispanic/Latino Asian/Pacific Islander Black/African-American Gender Age Race/Ethnicity Household Income Region Inactivity

2016 2018 2020 40% 35%

30% 28%

23% 23% 25% 22% 22% 21% 20% 21% 21% 19% 20% 18% 18% 17% 16% 17% 15% 16% 15% 16% 16% 15% 16% 16% 16% 14% 15% 14% 15% 13% 13% 13% 13% 12% 12% 12% 11% 10% 10% 9% 10% 8% 7% 8% 7% 6% 7% 5% 0% 6~8 East Male Total 9~11 West North Metro White South Active <$35k 12~14 15~17 $150k+ Female Inactive $35-$74k $75k-$149k Hispanic/Latino Asian/Pacific Islander Black/African-American % of LA County youth not enrolled in P.E. classes Gender Age Race/Ethnicity Household Income Region Inactivity

2018 2020

4.5 4.2 4.2 4.0 3.8 3.9 3.94.0 3.7 3.83.7 3.7 3.73.8 3.8 3.7 3.73.8 3.8 3.8 3.7 3.7 4.0 3.6 3.5 3.6 3.53.6 3.7 3.6 3.5 3.5 3.6 3.3 3.43.3 3.3 3.3 3.3 3.4 3.5 3.1 3.2 3.0 2.5 2.0 1.5 1.0 % of LA County Youth 0.5 0.0 6~8 East Male Total 9~11 West North Metro White South <$35k 12~14 15~17 $150k+ Female $35-$74k $75k-$149k Hispanic/Latino Asian/Pacific Islander Black/African-American Total Gender Age Region Race/Ethnicity Household Income

In 2018, a question was added for respondents to rate their agreement with several statements. These statements were centered around the accessibility and cost of sports for youth in Los Angeles.

1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0

I wish more sports were available at my child or children's school(s). 3.77 3.79

Youth sports in Los Angeles County are too expensive 3.37 3.31

Youth sports in Los Angeles County are becoming too specialized at an early age. 3.06 2018 3.24 2020 It is difficult to get into sports programs in Los Angeles County. 2.75 2.83

Youth sports take too much time 2.69 2.76

It is difficult to find places to play sports in Los Angeles County. 2.59 2.61

• Like the 2018 survey, the statement with the highest average agreement was “I wish more sports were available at my child or children’s school(s).” • “Youth sports…are becoming too specialized at an early age” was the statement showing the largest growth in average agreement from 2018 to 2020.

1=Strongly disagree 5=Strongly agree

By Child Age 6 to 8 years 9 to 11 years 12 to 14 years 15 to 17 years 2018 2020 2018 2020 2018 2020 2018 2020 I wish more sports were available at my child or children's school(s). 4.00 3.89 3.83 4.00 3.74 3.74 3.47 3.46 Youth sports in Los Angeles County are too expensive 3.32 3.28 3.42 3.41 3.35 3.31 3.39 3.24 Youth sports in Los Angeles County are becoming too specialized at an early age. 3.05 3.29 2.96 3.26 3.13 3.25 3.11 3.14 It is difficult to get into sports programs in Los Angeles County. 2.84 2.84 2.76 2.96 2.67 2.83 2.73 2.66 Youth sports take too much time 2.71 2.69 2.70 2.81 2.76 2.75 2.60 2.79 It is difficult to find places to play sports in Los Angeles County. 2.68 2.60 2.51 2.72 2.63 2.64 2.53 2.43

Concern about youth sports specialization grew, particularly among parents of younger children.

Black/African- White Hispanic/Latino Asian/Pacific Islander By Race/Ethnicity American 2018 2020 2018 2020 2018 2020 2018 2020 I wish more sports were available at my child or children's school(s). 3.71 3.77 3.79 3.87 3.93 3.52 3.59 3.73 Youth sports in Los Angeles County are too expensive 3.37 3.15 3.37 3.37 3.30 3.25 3.39 3.74 Youth sports in Los Angeles County are becoming too specialized at an early age. 3.33 3.44 2.80 3.14 3.10 3.00 3.39 3.32 It is difficult to get into sports programs in Los Angeles County. 2.78 2.78 2.73 2.87 2.67 2.74 2.75 2.97 Youth sports take too much time 2.83 2.88 2.58 2.66 2.48 2.45 3.15 3.38 It is difficult to find places to play sports in Los Angeles County. 2.59 2.62 2.59 2.59 2.40 2.45 2.80 2.93

White and Asian/Pacific Islander households had higher levels of agreement regarding youth sports specialization, which was also seen in the 2018 results.

1=Strongly disagree 5=Strongly agree

By LA County Region North South East West Metro 2018 2020 2018 2020 2018 2020 2018 2020 2018 2020 I wish more sports were available at my child or children's school(s). 3.83 3.70 3.84 3.66 3.60 3.90 3.64 3.65 4.06 4.05 Youth sports in Los Angeles County are too expensive 3.31 3.19 3.21 3.31 3.50 3.59 3.46 3.14 3.31 2.95 Youth sports in Los Angeles County are becoming too specialized at an early age. 3.07 3.17 3.02 3.26 2.92 3.23 3.24 3.42 3.27 3.30 It is difficult to get into sports programs in Los Angeles County. 2.60 2.79 2.80 2.81 2.71 2.95 2.83 2.92 3.00 2.62 Youth sports take too much time 2.45 2.74 2.49 2.60 2.89 2.87 2.86 2.86 2.83 2.82 It is difficult to find places to play sports in Los Angeles County. 2.37 2.67 2.69 2.63 2.59 2.58 2.53 2.50 2.96 2.54

Households in the Metro LA County region showed a notable decrease from 2018 to 2020 in the average agreement that sports in LA County are too expensive as well as “it is difficult to find places to play sports in Los Angeles County.”

By Income <$35k $35~$75k $75~150k $150k+ 2018 2020 2018 2020 2018 2020 2018 2020 I wish more sports were available at my child or children's school(s). 4.02 3.76 3.87 3.79 3.61 3.81 3.47 3.76 Youth sports in Los Angeles County are too expensive 3.54 3.70 3.39 3.38 3.24 3.11 3.33 3.13 Youth sports in Los Angeles County are becoming too specialized at an early age. 2.99 3.28 2.97 3.17 3.13 3.24 3.23 3.30 It is difficult to get into sports programs in Los Angeles County. 2.95 3.13 2.78 2.89 2.61 2.65 2.65 2.74 Youth sports take too much time 2.70 2.78 2.58 2.69 2.70 2.73 2.92 2.91 It is difficult to find places to play sports in Los Angeles County. 2.73 2.82 2.61 2.61 2.45 2.51 2.64 2.55 • Similar to 2018, lower-income households had higher agreement than high-income households that youth sports are too expensive. • Households of <$35k income also agreed more in 2020 that it was difficult to get into sports programs compared to 2018.

The “income disparity” measure is created by dividing the participation rate of the highest-income group divided by the rate of the lowest- income group.

Larger income disparity values indicate sports with more unequal play across income groups, favoring affluent households. Sports are sorted from highest participation rate to lowest.

INCOME DISPARITY Sports with higher income <$35k $35~$75k $75~150k $150k+ Income Disparity disparity values: Swimming 13.1% 23.0% 31.2% 37.8% 2.89 • Snowboarding Basketball 17.7% 23.4% 28.4% 26.4% 1.49 • Tennis Soccer 21.2% 21.5% 27.8% 26.8% 1.26 • Hockey (ice/roller) Running 18.3% 14.3% 20.1% 22.5% 1.23 Baseball 9.4% 15.1% 19.6% 20.3% 2.15 • Volleyball (sand/beach) Football (tackle) 8.3% 7.2% 11.6% 12.2% 1.47 • Rugby Tennis 2.1% 4.4% 15.5% 19.5% 9.08 • Water Polo Football (flag) 6.9% 6.9% 10.5% 10.0% 1.46 Gymnastics 3.5% 6.6% 13.4% 14.9% 4.30 Skateboarding 6.2% 7.3% 10.9% 9.4% 1.52 Sports with lower income Cycling 4.1% 4.7% 12.0% 12.5% 3.03 disparity values: Martial Arts (eg. Karate, Taekwondo etc) 4.2% 6.9% 12.7% 11.7% 2.80 • Cheer/Drill/Dance Team Volleyball (court) 2.9% 6.7% 11.7% 12.0% 4.14 Track & Field 5.1% 6.1% 11.9% 11.4% 2.25 • Running Cheer/Drill/Dance Team 9.4% 9.9% 14.7% 9.8% 1.04 • Soccer Softball (fast/slow) 7.7% 7.5% 10.8% 10.5% 1.37 • Basketball Volleyball (sand/beach) 1.3% 3.4% 6.5% 8.3% 6.15 • Softball Wrestling 2.4% 2.0% 5.0% 3.6% 1.51 • Football (flag & tackle) Surfing 2.3% 2.0% 4.2% 6.4% 2.82 Snowboarding 0.0% 1.8% 5.3% 5.2% Hockey (Ice/Roller) 0.6% 1.2% 3.1% 4.4% 7.00 Rugby 0.7% 0.6% 2.4% 3.6% 5.51 Water Polo 0.8% 1.0% 3.1% 3.6% 4.36

©2020 LA84 Foundation 102 Income Disparity of Sports Participation – LA County Youth vs National Participation Income Disparity: LA County Youth vs USA National Income Disparity - Rank Highest to lowest Values National LA County Youth Rank National LA County Youth Tennis* 3.74 9.08 1 Tennis Tennis Hockey 2.07 7.00 2 Hockey Hockey Volleyball (sand/beach) 1.00 6.15 Gymnastics 2.00 4.30 3 Gymnastics Volleyball (sand/beach) Volleyball (court) 1.60 4.14 4 Surfing Gymnastics Biking 1.15 3.03 5 Swimming Volleyball (court) Swimming 1.75 2.89 6 Soccer Cycling Surfing 1.86 2.82 7 Volleyball (court) Swimming Martial Arts 1.40 2.80 8 Baseball Surfing Baseball 1.57 2.15 9 Softball (fast/slow pitch) Martial Arts Skateboarding 0.95 1.52 Wrestling 0.71 1.51 10 Running Baseball Basketball 1.25 1.49 11 Martial Arts Skateboarding Football (tackle) 0.93 1.47 12 Basketball Wrestling Football (flag) 1.24 1.46 13 Football (flag) Basketball Softball (fast/slow pitch) 1.56 1.37 14 Cycling Football (tackle) Soccer/Futsal 1.64 1.26 15 Volleyball (sand/beach) Football (flag) Running/Jogging 1.43 1.23 16 Skateboarding Softball (fast/slow pitch) Cheerleading 1.13 1.04 17 Football (tackle) Soccer/Futsal 18 Cheer/Dance Running Comparing both LA County Sports participation in which youth and the USA population, LA County youth has a better 19 Wrestling Cheer/Dance/Drill Team there are common sports (lower) income disparity among the highest-ranked in compared to the USA *note: different income ranges used for National figures from theAC P Study terms of participation income population include : disparity. These sports include: • Softball (fast/slow pitch) • Tennis • Soccer/Futsal • Hockey (ice/roller) • Running/Jogging • Gymnastics • Cheerleading • Volleyball (court) • Swimming

Reported physical activity of adults in households of LA county youth 6-17 years old is at similar levels to 2018, with roughly half (49%) saying the adults “regularly” exercise.

Physical Activity Frequency Among LA County Parents of 6-17 year olds

100% 10% 8% 9% 90% 80% 70% 40% 49% 43% Never 60% 50% Occasionally 40% Regularly % % of parents 30% 50% 49% 20% 43% 10% 0% 2016 2018 2020

Physical Activity of LA County Parents

100% 4% 4% 1% 5% 3% 2% 3% 9% 12% 13% 11% 9% 8% 11% 13% 7% 7% 8% 7% 17 90% 20% 18% 32% 30% 36% 80% 31% 33% 40% 47% 43% 42% 70% 43% 46% 38% 45% 47% 49% 42% 48% 56% 46% 67% 60% 49% 54% 50% 31% 40% 65% 67% 68% 30% 63% 57% 49% 49% 49% 51% 48% 51% 20% 39% 46% 41% 45% 43% 45% Never 36% 30% 33% 33% 10% 26% 0% Occasionally 65+ East Total West Regularly North Metro White South Active <$35k 25~34 35~44 45~54 55~64 $150k+ Inactive $35~$75k $75~150k 24 or under or 24 Hispanic/Latino Asian/Pacific Islander Black/African-American % of LA county parents of youth ages 6 - ages of youth parents county % LA of Total Region Race/Ethnicity Household Income Parent Age Active/Inactive Youth

• Adults of youth in the West & Metro regions of LA County had higher percentages of regularly physical activity. Those from affluent households are over 2 times more likely to take part in physical activity regularly. • 51% of parents of active youth take part in regular physical activity, compared to 33% of parents of youth who were inactive. This illustrates the impact of parent/ guardian physical activity onto their children’s exercise habits.

Avg Age: 11.3 yrs (11.5 in 2018, 11 in 2016)

Youth - Gender Youth - Age Male Female 2016 2018 2020 29% % of respondents 30% 27% 26% 27% 25% 25%25% 25% 24%24% 0% 50% 100% 25% 22% 21% 20% 2016 54% 46% 15% 10% 2018 51% 49% 5% 0% 2020 6~8 9~11 12~14 15~17 54% 46% % of children surveyed

Parent - Gender Parent - Age % of respondents 100% 3% 7% 6% 0% 50% 100% 17% 16% 80% 19% 55+ 2016 45% 55% Male 37% 60% 43% 45~54 Female 43% 2018 33% 67% 40% 35~44 25~34 36% 20% 28% 2020 46% 54% 29% 24 or under 0% 7% 2% 7% 2016 2018 2020

Parent - Education Level 2016 2018 2020 35%

30% 29% 25% 25% 24% 24% 21%21% 22% 20% 18% 18% 16% 15% 14% 14% 11% 9% 10% 8% 5% 5%

%of completingsurvey parents 4% 5% 3% 3% 4% 0% 1% 0% 0% Grade school or less Some high school High school graduate Some college, no degree Associate degree - Associate degree - Bachelor's degree Post-Graduate degree occupational/vocational academic program program

100% 10% 100% 1% 2% 1% 90% 14% 16% 6% 7% 90% 10% 80% 12% 11% 80% 12% 70% 39% 31% Other 36% 60% $150k+ 70% 32% 33% Asian/Pacific Islander 50% $75k-$149k 60% 29% Black/African-American 40% 32% $35k-$74k 50% 32% 27% 30% <$35K 40% White

20% % of households 30% Hispanic/Latino 48% 47% 48% 10% 19% 23% 21% 20% 0% 10% 2016 2018 2020 0% 2016 2018 2020 2016 2018 2020 Average Income $83,702 $82,700 $89,050

Race/Ethnicity by Income

100% 1% 1% 1% 2% 3% 1% 2% 1% 1% 0% 1% 8% 7% 5% 7% 4% 5% 7% 9% 6% 9% 90% 6% 4% 14% 13% 16% 11% 8% 10% 16% 10% 17% 80% 22% 14% 9% 6% 8% 11% 70% 19% Other 44% 10% 25% 22% 41% 60% Asian/Pacific Islander 49% 43% 49% 50% 70% Black or African American 40%

% % of households 69% 68% White 30% 59% 63% 52% 52% 45% 20% 42% Hispanic or Latino 30% 34% 29% 10% 14% 0% <$35k $35k to $75k to $150k+ <$35k $35k to $75k to $150k+ <$35k $35k to $75k to $150k+ $74k $149k $74k $149k $74k $149k 2016 2018 2020

Region Income by Region - East 100% 6% 14% 9% 2016 2018 2020 80% 33% 35% 27% 40% $150k+ 31% 60% 30% 31% $75k-$149k 30% 40% 40% 37% 26% $35k-$74k 26% 26% 26% 26% 20% 25% <$35K 21% 22% 24% 0% 20% 20% 19% 2016 2018 2020

15% 14% 13% Income by Region - West 12% 12% % of respondents 11% 100% 19% 10% 23% 80% 45% 7% $150k+ 60% 44% 32% 5% $75k-$149k 40% 25% 38% $35k-$74k 0% 20% 25% East North South Metro West <$35K 21% 12% 12% 0% 5% 2016 2018 2020

Income by Region - North Income by Region - South Income by Region - Metro 100% 100% 7% 100% 15% 14% 12% 9% 17% 17% 11% 19% 80% 80% 21% 80% 35% 36% 34% 25% $150k+ 39% 40% 60% 60% $150k+ 60% 50% 33% $75k-$149k 68% 40% $75k-$149k 40% 26% 35% 40% 37% 29% $35k-$74k 31% 31% $35k-$74k 20% 14% 20% 20% 38% <$35K <$35K 28% 24% 10% 19% 17% 21% 15% 21% 5% 0% 0% 0% 2016 2018 2020 2016 2018 2020 2016 2018 2020

100% 4% 3% 5% 8% 4% 5% 5% 2% 7% 2% 13% 14% 13% 1% 10% 90% 22% 8% 1% 18% 10% 10% 19% 21% 4% 6% 3% 16% 80% 22% 8% 16% Other 70% 18% 52% 52% Asian/Pacific Islander 60% 39% 41% 28% 49% 41% 58% 54% 58% Native American or American Indian 50% 51% 57% 25% 56% 40% Black or African American 70% 30% Hispanic or Latino 47% 43% 41% 43% 20% 37% 36% 37% 37% 26% White 10% 25% 24% 23% 20% 15% 0% 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 2016 2018 2020 North South East West Metro

% of LA County Youth Considered by Parents to be "Special Needs"

2016 2018 2020

14% 13% 12% 12% 12% 12% 11% 12% 11% 10% 10% 9% 9% 9% 9% 8% 8% 8% 7% 7% 6% 6% 6% 6% 5% 4% 4% 2% 0% Total Male Female 6~8 9~11 12~14 15~17 Total Gender Age

Type of Disability/Disabilities Among LA County Youth (among those with disabilities)

% of LA County youth w/ disabilities 0% 20% 40% 60%

Intellectual 48%

Physical 44%

Emotional 37%

Other 10%

NORTH SOUTH EAST 2016 2018 2020 2016 2018 2020 2016 2018 2020 98 98 102 Male 98 98 113 101 101 81 Male Gender Male Gender Gender 102 102 98 Female 102 102 85 Female 99 99 122 Female 87 87 119 6~8 115 115 85 6~8 104 104 93 6~8 98 98 87 9~11 94 94 98 96 96 109 9~11 Age 9~11 Age Age 108 108 104 12~14 90 90 100 12~14 97 97 96 12~14 108 108 87 15~17 100 100 122 15~17 103 103 104 15~17 70 70 77 White 148 148 122 White 51 51 72 White 122 122 119 Hispanic 83 83 85 Hispanic 119 119 106 Hispanic Race/Ethnicity Race/Ethnicity Race/Ethnicity 64 64 29 Black 86 86 96 Black 182 182 199 Black 137 137 179 Asian/Pacific Islander 49 49 110 Asian/Pacific Islander 43 43 38 Asian/Pacific Islander 97 97 114 <$35k 67 67 99 <$35k 166 166 114 <$35k 115 115 99 $35-$74k 95 95 109 $35-$74k 102 102 129 $35-$74k Income Income Income $75k-$149k 127 127 100 $75k-$149k 67 67 68 $75k-$149k 87 87 112 $150k or more 104 104 88 $150k or more 63 63 106 $150k or more 99 99 57 P.E. classes 98 98 97 P.E. classes 98 98 99 P.E. classes 100 100 100 P.E. classes taken P.E. classes P.E. classes taken No P.E. classes 107 107 128 taken No P.E. classes 107 107 88 No P.E. classes 99 99 95 Active 95 101 97 Active 101 95 101 Active 100 99 95 Inactivity Inactivity Inactivity Inactive 140 94 116 Inactive 96 132 96 Inactive 103 104 134 Regularly Active 114 114 80 Adult Physical Regularly Active 84 84 101 Regularly Active 86 86 94 Adult Physical Activity Adult Physical Activity Occasional/Inactive 89 89 119 Activity Occasional/Inactive 112 112 99 Occasional/Inactive 111 111 105

How to read this table: • An index of 110 means players of this sport are 10% MORE likely to fall into that group • An index of 90 means players of this sport are 10% LESS likely to fall into that group

WEST METRO 2016 2018 2020 2016 2018 2020 Male 89 89 104 Male 114 114 105 Gender Gender Female 111 111 95 Female 85 85 95 6~8 94 94 99 6~8 101 101 104 9~11 120 120 118 9~11 103 103 103 Age Age 12~14 109 109 99 12~14 99 99 100 15~17 76 76 81 15~17 97 97 91 White 126 126 111 White 123 123 209 Hispanic 104 104 107 Hispanic 53 53 34 Race/Ethnicity Race/Ethnicity Black 35 35 90 Black 145 145 77 Asian/Pacific Islander 66 66 27 Asian/Pacific Islander 220 220 69 <$35k 84 84 81 <$35k 92 92 22 $35-$74k 95 95 51 $35-$74k 76 76 45 Income Income $75k-$149k 125 125 137 $75k-$149k 101 101 106 $150k or more 81 81 121 $150k or more 165 165 282 P.E. classes P.E. classes 100 100 107 P.E. classes P.E. classes 107 107 104 taken No P.E. classes 101 101 86 taken No P.E. classes 76 76 91 Active 109 101 111 Active 101 107 113 Inactivity Inactivity Inactive 21 97 29 Inactive 86 60 20 Adult Physical Regularly Active 114 114 138 Adult Physical Regularly Active 114 114 134 Activity Occasional/Inactive 89 89 65 Activity Occasional/Inactive 89 89 68

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Disclaimer: While proper due care and diligence has been taken in the preparation of this document, Sports Marketing Surveys cannot guarantee the accuracy of the information contained and does not accept any liability for any loss or damage caused as a result of using information or recommendations contained within this document.

About the LA84 Foundation: About Sports Marketing Surveys: The LA84 Foundation is a nationally recognized leader in Since 1985, Sports Marketing Surveys had led the way in support of youth sport programs and public education and being the informed, experienced and uniquely positioned source advocates for the important role sports participation plays in to assist with custom research projects in the sports industry. positive youth development. Created with a share of the 1984 Sports Marketing Surveys conducts quantitative and qualitative Olympic Games surplus, LA84 began operations in 1985 as market research and information for many of the leading sports a grant making and educational foundation. The foundation organizations, including governing bodies, trade associations, supports hundreds of non-profit youth sports organizations manufacturers, retailers and more. throughout Southern California annually, trains coaches, commissions research, convenes conferences and maintains the world’s premier Olympic and sports library collection. Learn more at LA84.org

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