2018 Youth Sports Participation Report

LA84 Foundation Youth Sports Survey

Los Angeles County, 2018

LA84 Foundation: 2018 Youth Sports Participation Report

Table of Contents

Executive Summary ...... 3 Sports Participation Trends ...... 8 Future Sports Participation Interest ...... 17 Inactivity Among LA County Youth ...... 20 Sports Participation Rates & Profiles ...... 24 Type & Location of Play ...... 72 Media Use ...... 76 P.E./Physical Activity Classes ...... 80 Special Needs Children ...... 82 Household Adults: Physical Fitness Status ...... 83 Inequity ...... 85 Household Profile ...... 88 Background & Methodology ...... 90 Sampling Methodology – Survey Sampling International ...... 92

Executive Summary The LA84 Foundation, for over three decades, has used the power of sport to create access and opportunity for those who need it most. But hiding in plain sight, there is a national crisis in play. Simply stated, kids from affluent families play sports at a significantly higher rate than young people from less wealthy households, and boys continue to play at a higher rate than girls. We have found that many people who do not have children or do not live in underserved communities are not aware of the barriers that stand in the way of sports participation. A chasm exists between the haves and the have- nots when it comes to sports and the basic need to run or jump, swim or compete ... or simply move.

And that is why we coined the phrase Play Equity and why we are leading the #PlayforAll Movement. Play Equity means that the amount of exercise kids get must not be determine by their income, geography, gender or ability. Play Equity means that the dreams of our youth must not be determined by their zip codes. Play is a basic human right and all of our youth deserve equal access. The LA84 Foundation is committed to closing the Play Equity Gap to ensure that all of our children have the access and opportunity to enjoy the social, emotional, health, and educational benefits of youth sports and structured play.

Throughout Southern California organizations such as Girls Play Los Angeles, the Dodgers Foundation, Playworks, Beat the Streets LA, Angel City Sports, Students Run LA, Brotherhood Crusade, Special Olympics Southern California, Coaching Corps and Positive Coaching Alliance, among many others, work tirelessly to make Play for All a reality. The LA84 Foundation has supported all of these activities through its thought leadership, convenings such as its annual sports Summit, advocacy, and grant making.

The LA84 Foundation Youth Sports Survey, Los Angeles County, 2018 measures progress in the effort to make youth sports available to all young people in our community. The report updates and expands the foundation’s inaugural 2016 survey. The 2018 report presents a comprehensive view of youth sports in Los Angeles County, detailing participation rates, types of play, locations, sport participant profiles, and total player projections, while highlighting changes to the youth sports landscape since 2016.

The new survey, which the LA84 Foundation commissioned SMS USA to conduct, replicates the 2016 survey, but expands it to ask new questions about perceptions of cost, availability, and access. The responses to those questions provide insights on how socioeconomic inequity affects youth sports participation in Los Angeles. The survey involved 703 households representing 1,095 youngsters ages 6- 17, with interviews conducted in English and Spanish.

The 2018 survey shows that more than 1.2 million young people, 82.3% of all kids, in Los Angeles County participate in sports and that in most sports the participation rates in Los Angeles County exceed national rates, often by wide margins. Although the number of young people playing sports is impressive, we should not lose sight of two key points. First, youth sports participation remains closely tied to household income, with children from the lowest-income households participating at the lowest rate. Parents from low-income households are most likely to agree that youth sports are too expensive, and most likely to call for more school-based sports programs, which typically involve lower costs for participation and travel than other sports options. Second, 39% of Los Angeles County youth sports participation takes the form of casual/pick-up play. While the LA84 Foundation believes in the value of

©2018 LA84 Foundation 3 LA84 Foundation: 2018 Youth Sports Participation Report all physical activity, we believe that the greatest benefits come from structured sports programs that involve the purposeful mentoring of young people.

Clearly, we still need to do more work in Los Angeles County to close the Play Equity Gap. Below is a summary of the survey’s key findings.

PARTICIPATION • 82.3% of Los Angeles County youth, ages 6-17, participate in a sport, a slight improvement over the 2016 activity rate of 81.5%. More than 1.2 million young people, ages 6-17, play sports in Los Angeles County.

• Family income continues to be associated with youth sport participation. Kids from households with annual incomes greater than $150k participate at a rate of 90%, while only 71% of kids from households earning below $35k play sports. On a positive note, despite this gap, youth sports participation increased, from 2016 to 2018, in households under $75k.

• Youth activity correlates to parental activity levels. Children in households with regularly-active parents showed an increase in activity, rising from 84% to 90%. Meanwhile, kids from households with occasionally-active or inactive parents participate at a rate of 77%, a slight decline from 2016. Regular physical activity among parents, in turn, corresponds to income, with affluent households showing the highest parental activity level.

• Girls’ participation indicates an increase from 73% in 2016 to 79% in 2018. This positive finding, however, may be influenced by the addition of “Cheer/dance” as a separate, selectable sport choice. The 2016 survey also documented this activity, but did so under the rubric of “Other sports.” In any case, girls’ participation rate still trails that of boys, with 85% of boys participating in sport compared to 79% of girls.

• The youngest age group of boys and girls, 6-8 year-olds, has a higher participation rate than in 2016, reflecting an increase from 72% to 81%. However, younger children ages 6-11 remain slightly less active than older kids.

• Soccer, as in 2016, has the highest participation rate among youth ages 6-17 in Los Angeles County, with 27% of children having played in the past 12 months. Swimming (26.7%), basketball (25.7%), running (16.9%), and baseball (16.1%) follow. When baseball is combined with slow-pitch softball (6.4% and fast-pitch softball (5.6%) the result is 28.1%. Only running, track & field, and rugby saw youth participation rates increase from 2016 to 2018.

• Skateboarding again has the highest play frequency of all youth sports with an average of 77 participation days a year, followed by basketball (63), martial arts (62), running (59), and cheer/dance (59).

• Los Angeles County youth played sports an average of 112 times in the past year, similar to the 2016 average of 114.

• The most frequently cited reason for not participating in sport is Not interested (35%). Other reasons cited are Doesn’t like sport (18%), Other non-sport interests (10% - double the percentage in 2016), Too busy with school work (5%), Sports not offered at school (4%), Cost/Too expensive (4%), Health concerns (3%), and Too young (2%).

• Kids played fewer sports in 2018, indicating somewhat greater sports specialization, with youngsters averaging 2.21 sports compared to 2.7 in 2016.

• 64% of Los Angeles County youth would like to play a sport in the next year. Soccer is the most desired sport, followed by basketball, baseball, football, and tennis.

TYPE AND LOCATION OF PLAY • Among youth sports participants, casual pickup play declined 8% while there was a corresponding increase in organized play, with the biggest increase in organized non-school sports.

• 53% of youngsters participate in sports at public fields, pools or gyms, with 33% at schools or colleges and 13% at private facilities

P.E. ENOLLMENT • 79% of Los Angeles County youth are enrolled in P.E./physical activity classes, down from 88% in 2016, with Hispanic/Latino and African-American households experiencing the biggest decline among race/ethnic groups.

• Whites and Asian/Pacific Islanders are slightly more likely to be in P.E. than children from other racial or ethnic groups.

SPECIAL NEEDS STATUS • 6% of Los Angeles County households report having a special needs child.

• Of households reporting a special needs child, 30% state that their child had a physical disability; 46% intellectual/emotional, and 31% emotional.

HOUSEHOLD ADULT FITNESS STATUS • Overall, the percentage of active parents in households with children ages 6-17 increased modestly from 88% in 2016 to 90% in 2018. However, there was a 7% drop in adults who

regularly participate in physical activity/sports, while the percentage of occasionally active parents increased.

• Asian/Pacific Islanders are the only group of parents to show an increase in regular physical activity. All other racial/ethnic groups declined.

• All income groups declined in regular physical activity, with a greater decline in households below $75k than in those above $75k.

• Parents from affluent households earning more than $150k are more than twice as likely to take part in physical activity regularly than parents from households of under $35k.

MEDIA • YouTube is again the social media platform most often used by Los Angeles County youth, with nearly half (46%) using it regularly – followed by Instagram (26%), Snapchat (24%), Facebook (21%), and Twitter (13%).

• Overall there is less social media use reported than in 2016.

• Interestingly, active youth are more likely to use social media frequently than less active youngsters.

• The overwhelming majority of young people in Los Angeles County never use sports websites. The most-used sports website is ESPN, but only 36% of young people use it regularly or occasionally.

INEQUITY • “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. Demand for sports at schools is especially evident among lower-income households, households with younger children, and households in the Metro Service Planning Area, which includes central Los Angeles, Boyle Heights, Hollywood, and Echo Park.

• Lower-income households tend to agree that youth sports in Los Angeles are too expensive. Higher-income groups tend to disagree with that statement and are more concerned with sport specialization and the amount of time taken by youth sports.

• Respondents generally agree that finding a place to play in Los Angeles County is not an issue, although low-income households are most likely to say that they are unsure about the issue.

Making Progress Room for Improvement

Increased activity among Lower-income households still fall behind others in • Females activity rate and play occasions. • Youth ages 6-8 • Those with active parents

Interest in future sport participation staple, Sports increasingly compete with other activities for reflecting an existing latent demand. time; % of 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 , increased slightly, a key insight as parents potentially hindering access to sports. Low-income wish that more sports were available at youngsters played less at schools than in 2016. their children’s schools.

Households generally disagreed that it is The cost of participation is still a concern, with difficult to find places to play sports in LA agreement increasing as household income County. decreases.

POLICY DISCUSSION For funders and policy makers seeking to make youth sports universally available, the survey responses from low-income households are instructive. It is clear that for low-income parents cost remains an issue. Parents of young athletes must meet the costs of registration, equipment, travel, and in some cases child care and lost work time.

These parents’ call for more school-based sports programs represents a rational solution to closing the Play Equity Gap. School sports typically provide a lower-cost option than other sport programs. Moreover, they require less travel and therefore lower transportation costs plus fewer lost work hours. Schools also provide a built-in sports infrastructure, a relatively safe environment, and a ready-made population of potential athletes. In short, school is an ideal setting for meeting kids where they are.

Obviously, the LA84 Foundation recognizes the value of sport in all settings and will continue to support them, but moving forward the foundation will redouble its efforts to promote school-based youth sports programming. The ultimate goal will be not only to provide sports for kids, but to utilize and integrate into sports program many of the other learning and support services that schools offer so that youth sports becomes an even more important part of positive youth development.

Sports Participation Trends Participation Rate vs. Participation Frequency

Participation rate is a measure of the percentage of a certain group taking part in that activity over the last 12 months, while participation frequency is the average number of play occasions (times the activity was participated in) per year. For example, the participation rate of basketball in LA county among youths 6-17 years old is 26% while the average participation frequency is 63; this means 26% of all youth aged 6-17 played basketball at least once, and of these 26% of youth the average times basketball is played per year is 63.

Youth (Ages 6-17) Sports Participation Rate - LA County vs National

% of youth age 6-17 playing 1+ time 0% 5% 10% 15% 20% 25% 30% 27% Soccer 13% 27% Swimming 14% 26% Basketball 19% 17% Running 21% 16% Baseball*** 16% 15% Cheer/Dance** 14% 10% Track & Field 5% 9% Gymnastics** 6% 9% Martial Arts** 5% 9% Tennis 9% LA County 9% Volleyball (court) 5% 9% National Skateboarding 7% 8% Cycling 26% 8% Football (tackle) 6% 8% Football (flag) 5% 6% Softball (slow pitch) 3% 6% Softball (fast pitch) 2% 4% Volleyball (sand/beach) 1% 3% Surfing 2% 3% Snowboarding 4% 3% Wrestling 2% 2% Hockey (Ice/Roller)** 2% *For 2016 data, Soccer (outdoor) is shown 1% **New sport/activity for 2018 survey Rugby 1% ***2016 participation rate revised Did not play* 18% 18% Inactivity adjusted for national levels age 6-17 • Outdoor soccer is the most played sport among LA county youth — 27% of all children participated in the past 12 months.

• 17.7% of LA county youth did not play a sport in the past year.

LA County Youth Sports Participation Rates: 2016 v 2018

% of youth 6-17 participating over last 12 months 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0%

Soccer* 27.1% Swimming 26.7% Basketball 25.7% Running 16.9% Baseball*** 16.1% Cheer/Dance** 15.4% Track & Field 9.8% Gymnastics** 9.4% Martial Arts** 9.4% Tennis 9.1% Volleyball (court) 8.9% 2016 Skateboarding 8.5% 2018 Cycling 7.6% Football (tackle) 7.6% Football (flag) 7.5% Softball (slow pitch) 6.4% Softball (fast pitch) 5.6% Volleyball (sand/beach) 3.8% Surfing 3.2% Snowboarding *For 2016 data, Soccer (outdoor) is shown 3.0% **New sport/activity for 2018 survey Wrestling 3.0% ***2016 participation rate revised

Water Polo 2.1% Inactivity adjusted for national levels age 6-17 Hockey (Ice/Roller)** 1.6% Rugby 1.1% Did not play 17.7%

• Rugby, running, and track & field were the activities that saw youth participation grow from 2016 to 2018.

Youth LA County Physical Activity 2016 vs 2018 - by Gender 2016 2018

100% 89% 85% 90% 82% 82% 79% 80% 73% 70% 60% 50% 40% 30% 20% 10%

0% % playing at least one sport one least at playing % Total Male Female Gender

• Similar level of physical activity overall but lower number of sports played from 2016 to 2018. • Males slightly less active from 2016 to 2018 while females slightly more active.

Youth LA County Physical Activity 2016 vs 2018 - by Age 2016 2018

100% 85% 87% 85% 90% 82% 82% 81% 81% 84% 85% 80% 72% 70% 60% 50% 40% 30% 20% 10% 0%

% playing at least one sport one least at playing % Total 6~8 9~11 12~14 15~17 Age

• Activity increased among younger children while decreasing somewhat for young teens.

Youth LA County Physical Activity 2016 vs 2018 - by Age/Gender 2016 2018

100% 89% 89% 90% 83% 87% 85% 86% 84% 90% 82%82% 78% 78% 79% 80% 65% 70% 60% 50% 40% 30% 20% 10% 0%

% playing at least one sport one least at playing % Total Male 6~11 Male 12~14 Male 15~17 Female 6~11 Female Female 12~14 15~17 Age/Gender

Youth LA County Physical Activity 2016 vs 2018 - by Household Kids, Parent Physical Activity

2016 2018 100% 90% 86% 90% 82% 82% 84% 77% 80% 79% 77% 80%

60%

40%

20%

0% % playing at least one sport one least at playing % Total Siblings Only Child Active Parents Occ/Non-Active HH Kids Parent Activity • Youth in households with physically active parents are more active in 2018 compared to 2016, while activity is down among LA county youth with occasionally active/non-active parents.

Youth LA County Physical Activity 2016 vs 2018 - by Region

2016 2018 100% 89% 90% 82% 82% 83% 82% 81% 82% 84% 84% 83% 77% 80% 74% 70% 60% 50% 40% 30% 20%

10% % playing at least one sport one least at playing % 0% Total North South East West Metro Region

Youth LA County Physical Activity 2016 vs 2018 - by Race/Ethnicity 2016 2018

100% 89% 91% 82% 84% 90% 82% 78% 78% 81% 80% 80% 73% 70% 60% 50% 40% 30% 20% 10%

0% % playing at least one sport one least at playing % Total White Hispanic/Latino Black/African-American Asian/Pacific Islander Race/Ethnicity

• Hispanic/Latino households were the only race/ethnic group to not see an increase in participation from 2016 to 2018.

Youth LA County Physical Activity 2016 vs 2018 - by Household Income 2016 2018 100% 92% 88% 92% 90% 90% 82% 82% 82% 80% 73% 67% 71% 70% 60% 50% 40% 30% 20% 10%

% playing at least one sport one least at playing % 0% Total <$35K $35k to $74k $75k to $149k $150k+ Household Income

• LA84 has made some progress among lower income households with 2018 activity rates improved from 2016.

• However, inactivity in <$35k households (29%) is still almost 3x the inactivity rate of the highest income group ($150k+ with 10% inactivity rate.

Number of Sports Played by LA County Youth (by Age/Gender) 100% 3% 3% 4% 4% 6% 9% 6% 5% 8% 6% 8% 7% 11% 6% 90% 12% 12% 12% 12% 11% 10% 12% 11% 15% 19% 15% 12% 80% 32% 70% 31% 31% 34% 33% 34% 36% 26% Six or more 34% 30% 36% 29% 60% 35% Four/Five 50% Two/Three 40% 32% 42% One 38% 29% 29% 31% 28% 29% 34% % of LA CountyYouth of LA% 30% 30% 30% 28% None 31% 20%

10% 21% 22% 22% 18% 19% 19% 16% 15% 17% 16% 15% 11% 15% 0% Total Male Female 6~8 9~11 12~14 15~17 M M M F 6~11 F F 6~11 12~14 15~17 12~14 15~17 Total Gender Age Age/Gender

Number of Sports Played by LA County Youth (by Parent Activity, Region) None One Two/Three Four/Five Six or more

% of active LA County playing 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Active Parents 10% 25% 39% 16% 10% Parent Activity Occ/Non-Active 23% 36% 28% 10% 3%

North 17% 31% 33% 15% 4%

South 23% 32% 28% 11% 5%

East 18% 32% 33% 8% 8% Region West 11% 34% 36% 13% 6%

Metro 17% 26% 34% 18% 5%

Number of Sports Played by LA County Youth (by Race/Ethnicity, Household Income) None One Two/Three Four/Five Six or more

% of active LA County playing 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

White 9% 32% 35% 16% 8%

Hispanic/Latino 22% 31% 31% 10% 5%

Black/African-American 19% 28% 37% 12% 4% Race/Ethnicity Asian/Pacific Islander 16% 34% 31% 11% 8%

<$35K 29% 35% 22% 9% 4%

$35k to $74k 18% 33% 31% 12% 5%

$75k to $149k 12% 27% 38% 15% 8%

Household Income Household $150k+ 10% 28% 42% 14% 6%

• As household income increase, the average number of sports played increase.

Average Number of Sports Played - 2016 v 2018

Average number of sports played (active youth) 0 1 2 3 4 5

2.7 Total 2.2 3.0 Male 2.5 2.3 Gender Female 2.0 2.3 6~8 2.2 2.8 9~11 2.1

Age 2.9 12~14 2.4 2.7 15~17 2.1 2.3 North 2.2 2.7 South 2.0 2016 2.6 2018

East 2.2 Region 2.8 West 2.4 3.7 Metro 2.4 3.2 White 2.6 2.4 Hispanic/Latino 2.0 2.3 Black/African-American 2.1 Race/Ethnicity 2.1 Asian/Pacific Islander 2.3 2.1 <$35K 1.7 2.0 $35k to $74k 2.1 3.2 $75k to $149k 2.6

Household Income Household 3.9 $150k+ 2.5

• LA county youth over the past year played an average of 2.2 sports, down from 2016.

• Although progress has been made with females in terms of overall activity, females are still behind males in the number of sports played.

Participation Frequency (Days Per Year)

Play Occasions by Sport - 2016 v 2018

Average # of days played annually 0 20 40 60 80 100 90 Skateboarding 77 55 Basketball 63 Martial Arts** 62 Cheer/Dance** 59 54 Running 59 52 Soccer* 58 44 Baseball 51 Gymnastics** 48 34 Tennis 47 44 Swimming 47 35 2016 Track & Field 45 32 2018 Volleyball (court) 44 36 Wrestling 42 42 Softball (fast pitch) 40 59 Cycling 40 60 Football (tackle) 35 20 Volleyball (sand/beach) 32 49 Softball (slow pitch) 31 47 Football (flag) 30 16 Water Polo 28 18 Surfing 22

Hockey (Ice/Roller)** 18 *For 2016 data, Soccer (outdoor) is shown 9 Rugby 15 16 **New sport/activity for 2018 survey Snowboarding 10

• As in 2016, results showed skateboarding is the sport with the highest average participation frequency per year in LA county among youth at 77 times every 12 months.

LA County Youth Sport Play Frequency: 2016 v 2018

Average number of times played in past year 0 20 40 60 80 100 120 140 160

114 Total 112 121 Male 122 105

Female 102 Gender 96 6~8 95 114 9~11 104

Age 118 12~14 122 132 15~17 130 117 M 6~11 112 124 2016 M 12~14 130 128 2018 M 15~17 135 89 F 6~11 85

Age/Gender 112 F 12~14 114 137 F 15~17 125 110 White 117 115 Hispanic/Latino 109 140 Black/African-American 121 95 Race/Ethnicity Asian/Pacific Islander 106 109 <$50k 99 116 $50k to $99k 119

Income $100k+ 119 Household 122

• On average, LA county youth participated in sports 112 times over the last year, down slightly from 2016. As age increases, average participation frequency rises as well.

• Females and youth from low-income households still have lower play occasion totals than males & mid-to high-income households.

Future Sports Participation Interest 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?”

Future Youth Interest in Sport Participation Over the Next 12 Months 100% 30% 28% 80% 36% 38% 34% 35% 33% 33% 37% 32% 47% 50% 44% 60% No Yes 40%

children 72% 64% 62% 66% 70% 65% 67% 67% 63% 68% 53% 50% 56% 20%

% of LA County % of LA County households w/ 0% Total Male Female 6~8 9~11 12~14 15~17 M 6~11 M M F 6~11 F F 12~14 15~17 12~14 15~17 Total Gender Age Age/Gender

Future Youth Interest in Sport Participation Over Next 12 Months: 2016 v 2018 (those indicating interest)

% of households saying "Yes" 0% 10% 20% 30% 40% 50% 60% 70% 80%

65% Total 64% 67% Male 62% 62%

Female 66% Gender 67% 6~8 70% 67% 9~11 65%

Age 69% 12~14 67% 56% 15~17 53% North 65% 71% 2016 South 65% 67% 2018 61% East 58%

Region 64% West 58% 73% Metro 66% 68% White 67% 63% Hispanic/Latino 62% 68% Black/African-American 59% Asian/Pacific Islander 53% Race/Ethnicity 67% 63% <$35K 63% 60% $35k-$74k 63% 66%

$75k-$149k 68% Income

Household 68% $150k+ 60%

• The % of parents saying their children is interested in playing a sport over the next 12 months is at similar levels to 2016.

• Almost two-thirds of children in low-income households are interested in participation. • These are the groups with the lowest participation rates, illustrating the latent demand:

Household Income Inactivity Interest <$35k 29% 63% $35k-$74k 18% 63% $75k-$149k 12% 68% $150k+ 10% 60%

For those 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 was interested in.

Future Participation Among LA County Youth: Sports With Most Interest 25% 22% 2016 2018

20% 20%

15% 15%

11% 11% 12% 11% 10% 10% 9% 7% 7%7% 6%6% 5%5% 5% 4% 4%

3% % of youth interested in future sports play sportsfuture in interested youth of % 1% 0% Soccer Basketball Baseball Football Tennis Volleyball Swimming Softball Gymnastics Dance

• Soccer is again the sport indicated by households with the most interest in participation.

Future Sport Participation Interest: Latent Demand Table

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 53% of outdoor 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 Year

Baseball Basketball Football Soccer Softball Swimming Tennis Volleyball Hockey

Soccer 33% 23% 40% 55% 27% 21% 32% 22% 46%

Swimming 17% 32% 24% 22% 32% 55% 38% 45% 40%

Basketball 38% 51% 44% 25% 19% 20% 18% 27% 58%

Running 13% 21% 18% 23% 21% 15% 21% 27% 28%

Baseball 44% 23% 22% 19% 10% 12% 4% 7% 26%

Cheer/Dance 6% 6% 2% 14% 30% 12% 15% 15% 13%

Track & Field 7% 15% 12% 10% 9% 7% 10% 9% 13%

Gymnastics 3% 5% 5% 9% 13% 6% 22% 8% 13%

Martial Arts 8% 9% 10% 10% - 6% 4% 9% 73%

Tennis 1% 6% 2% 8% 5% 11% 37% 13% 13%

Volleyball (court) 1% 4% 3% 7% 7% 4% 29% 24% 13%

Skateboarding 14% 10% 13% 7% 3% 6% 2% 3% 13%

Cycling 11% 6% 9% 7% 28% 2% 13% 10% 13%

Sports Played in the Past Year thein Past Sports Played Football (tackle) 6% 10% 21% 4% - 5% 1% - 13%

Football (flag) 14% 12% 18% 12% 5% 2% - 6% 13%

Softball (slow pitch) 3% 6% 1% 8% 23% 4% 7% - 13%

Softball (fast pitch) 1% 5% 2% 2% 28% 2% - 4% 26%

Hockey (Ice/Roller) 2% 2% 1% 1% 3% 2% 2% - 53%

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

Reasons for Inactivity

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 % of inactive children (who answered) 0% 10% 20% 30% 40% 50%

39% Not interested 35% 16% Doesn't like sport 18% Other non-sport interests 5% 10% 2016 6% Too busy with school work 5% 2018 3% Sports not offered at school 4% 4% Cost/Too expensive 4% 3% Health reasons 3% 12% Too young 2%

• A general lack of interest in sports was the reason most frequently given for youth not interested in sports participation, similar to 2016.

• However, the percentage of youth saying “other non-sport interests” were the main factor for their inactivity doubled from 2016, indicating that physical activity providers will continue to be challenged by other activities in getting the attention and time of potential participants.

Inactives: Profile

LA County Non-Participation Rates by Age, Gender

40% 2016 2018 35% 35% 30% 30% 27% 22% 25% 21% 22% 22% 19% 19% 19% 20% 18% 16% 17% 16% 15% 15% 14%15% 15% 14% 12% 12% 13% 15% 11% 11% 10% 10%

% of LA CountyYouth of LA% 5% 0% Total Male Female 6~8 9~11 12~14 15~17 M 6~11 M M F 6~11 F F 12~14 15~17 12~14 15~17 Gender Age Age/Gender

LA County Non-Participation Rates by Household Children, Parent Physical Activity

2016 2018 25% 23% 23% 21% 19% 20% 20% 18% 17% 14% 15% 10% 10% 10%

% of LA CountyYouth of LA% 0% Total Siblings Only Child Active Parents Occ/Non-Active HH Children Parent Physical Activity

LA County Non-Participation Rates by Region

2016 2018

30% 25% 25% 23% 19% 19% 18% 18% 18% 20% 17% 17% 16% 17% 15% 11% 10% 5% % of LA CountyYouth of LA% 0% Total North South East West Metro Region

LA County Non-Participation Rates by Race/Ethnicity

2016 2018 35% 29% 30% 25% 22% 22% 19% 20% 20% 19% 18% 16% 15% 11% 9% 10%

% of LA CountyYouth of LA% 5% 0% Total White Hispanic/Latino Black/African-American Asian/Pacific Islander Race/Ethnicity

LA County Non-Participation Rates by Youth PE Enrollment

2016 2018 40% 33% 34% 30%

19% 18% 20% 16% 15%

10%

% of LA CountyYouth of LA% 0% Total PE yes No PE / not sure PE in school

• Physical inactivity is higher among LA County children who are not enrolled in PE at their school.

LA County Non-Participation Rates by Household Income

2016 2018

35% 33% 29% 30% 27% 25% 19% 18% 20% 18% 12% 15% 10% 8% 10% 8% 5% 0% % of LA CountyYouth of LA% Total <$35K $35k to $74k $75k to $149k $150k+ Household Income

Inactives vs Actives: Indices 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

INACTIVE Profile - Index ACTIVE Profile - Index 2016 2018 2016 2018 Male 62 84 Male 105 103 Female 145 117 Female 94 97 Ages 6~8 154 109 Ages 6~8 93 98 Ages 9~11 82 109 Ages 9~11 102 98 Ages 12~14 72 93 Ages 12~14 103 101 Ages 15~17 81 88 Ages 15~17 103 102 White 58 54 White 105 108 Hispanic/Latino 116 127 Hispanic/Latino 98 96 Black/African-American 145 107 Black/African-American 94 98 Asian/Pacific Islander 108 89 Asian/Pacific Islander 100 101 <$35k 177 165 <$35k 90 89 $35k~$74k 143 105 $35k~$74k 95 99 $75k~$149k 42 67 $75k~$149k 107 105 $150k+ 43 56 $150k+ 107 108 North 140 94 North 95 101 South 96 132 South 101 95 East 103 105 East 100 99 West 87 60 West 102 107 Metro 22 97 Metro 110 101 Non-social media user 208 184 Non-social media user 86 86 Occasional social media user 93 84 Occasional social media user 101 103 Regular social media user 95 97 Regular social media user 101 101 Frequent social media user 45 23 Frequent social media user 107 113

Inactive youth in LA County are relatively Active youth in LA County are relatively more more likely to be: likely to be: • • Male Female • Ages 6 to 11 • Ages 12 to 17 • Hispanic/Latino • White • Low-income households • Middle-to-high-income households

• Living in the South region • Living in the West region • Non-social media user • Frequent social media user

Sports Participation Rates & Profiles Reading the Sport Profiles

Each sport is highlighted into two sections: participation rates/projections & profiles. The profile section provides a breakout as a percentage of total participation within the sport. For instance, the baseball income profile shows households over $150K at 16%; this indicates that 16% of households with a baseball player between 6-17 years old make over $150k. The indices in each profile compare participation rate (% of a total group) with the LA county youth population to measure the relative likelihood of a sport participant being a member of that demographic. BASEBALL

Note: 2016 LA County results have been revised.

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 17.6% 16.1% 28.0% 27.2% 7.3% 5.3% 13.5% 13.5% 22.5% 18.9% 17.9% 16.2% 17.5% 16.4% (%) National Participation Rate 13.7% 15.6% 21.9% 23.8% 4.3% 6.2% 17.3% 19.2% 16.4% 18.3% 13.4% 15.3% 10.9% 12.8% (%) Average Play Frequency (per 44.5 50.7 48.8 52.9 28.2 32.2 27.1 37.6 57.1 41.7 45.9 56.0 44.6 68.3 year)

Type of Baseball Participation Among Location of Baseball Participation LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 52% 44% Public facility Casual/Pick-up 34% 18% 33% 34% School Organized (school) 31% 2016 35% 4% Private non-profit 2018 8% 7% Private/Commercial facility Organized (non-school) 34% 8% 45% 1% 4% Other Other 1% 3% 3% 2% College/University

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 11.7% 11.8% 20.2% 17.0% 18.4% 16.5% 15.0% 17.1% 30.0% 23.3% 17.6% 16.1% -1.5% (%) x Age 6-17 398.6 398.9 308.6 308.8 492.3 492.7 175.2 175.4 141.4 141.7 1,516.0 1,517.3 0.1% Population = Projected 46.7 47.1 62.4 52.6 90.6 81.3 26.2 29.9 42.4 33.0 267.4 244.6 -8.5% Players* 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

Sport Profile: BASEBALL

Gender Age

100% 2016 2018 11% 90% 21% 35% 32% 80% 30% 27% 70% 25%24% 24% 25% 25% 23% 60% Female 21% 50% 20% 89% Male 40% 79% 15% 30%

% of participants of % 10% 20% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income

0% 20% 40% 60% 100% 14% 16% 34% 80% White 35% 32% $150k+ 60% 51% 56% $75k-$149k Hispanic/Latino 52% 2016 2018 40% 29% $35-$74k Black/African-American 5% 8% <$35k 20% 27% 4% 23% Asian/Pacific Islander 9% 4% 0% 2016 2018

Profile - Index 2016 2018 Male 146 175 Female 46 23 Players of this sport are relatively more

Ages 6~8 87 94 likely to be: Ages 9~11 123 107 • Male Ages 12~14 95 97 • Ages 9 to 11 Ages 15~17 95 102 White 105 120 • White

Hispanic/Latino 116 111 • Somewhat more affluent Black/African-American 42 65 Asian/Pacific Islander 62 36 <$35k 46 102 How to read this table: • $35k~$74k 85 90 An index of 110 means players of this sport are $75k~$149k 131 104 10% MORE likely to fall into that group • $150k+ 130 111 An index of 90 means players of this sport are 10% LESS likely to fall into that group

BASKETBALL

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 26.5% 25.7% 37.0% 37.6% 14.8% 14.0% 15.6% 18.4% 30.2% 27.0% 31.6% 31.2% 30.4% 28.5% (%) National Participation Rate 18.9% 19.4% 25.3% 25.8% 11.6% 12.2% 14.5% 15.0% 20.9% 21.4% 23.7% 24.2% 18.0% 18.5% (%) Average Play Frequency (per 54.7 62.9 47.9 66.8 71.1 52.0 52.0 42.4 38.1 51.6 53.5 85.6 75.1 63.9 year)

Type of Basketball Participation Location of Basketball Participation Among LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0%

Casual/Pick-up 33% 52% School 26% 48% 2016 31% 2018 36% Public facility Organized (school) 48% 42% 5% 8% Private non-profit 18% Organized (non-school) 6% Private/Commercial facility 31% 4% 2% 2% Other Other 1% 1% 4% College/University 2%

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 22.0% 20.9% 26.9% 26.1% 27.1% 26.3% 23.5% 27.4% 39.4% 33.1% 26.5% 25.7% -0.8% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 87.8 83.5 82.9 80.7 133.3 129.3 41.3 48.1 55.7 46.9 401.6 390.1 -2.8% Players*

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

Sport Profile: BASKETBALL

Gender Age 100% 2016 2018 90% 30% 26% 35% 80% 30% 30% 28% 27% 70% 25% 24% 24% 60% 25% 22% Female 19% 50% Male 20% 40% 70% 74% 15% 30% % of % participants 10% 20% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 9% 90% 16% 80% 33% White 28% 70% 42% 33% $150k+ 60% Hispanic/Latino 43% 44% 2016 50% $75k-$149k

2018 40% $35-$74k 17% 28% 34% Black/African-American 15% 30% 20% <$35k 6% 10% 20% Asian/Pacific Islander 10% 18% 0% 2016 2018

Profile - Index 2016 2018

Male 130 146 Players of this sport are relatively more Female 64 53 likely to be: Ages 6~8 68 85 • Male Ages 9~11 111 96 • Ages 12 to 14 Ages 12~14 113 120 • Black/African-American Ages 15~17 115 98 White 101 97 • High income, though no Hispanic/Latino 89 94 substantial difference from $35k+

Black/African-American 136 125 Asian/Pacific Islander 105 103 How to read this table: <$35k 104 80 • An index of 110 means players of this sport are $35k~$74k 90 104 10% MORE likely to fall into that group • An index of 90 means players of this sport are $75k~$149k 109 105 10% LESS likely to fall into that group $150k+ 88 111

CHEER/DANCE

New sport/activity added for 2018 survey, therefore no 2016 comparisons available.

Ages Ages Ages Ages Total Male Female 6~8 9~11 12~14 15~17 LA Participation Rate (%) 15.4% 2.3% 27.9% 17.3% 15.8% 16.0% 12.2% National Participation Rate (%) 13.5% 5.4% 24.8% 14.4% 15.2% 15.9% 11.8% Average Play Frequency (per year) 59.4 26.5 62.1 45.9 51.1 65.2 84.5

Type of Cheer/Dance Participation Among LA Location of Cheer/Dance Participation County Youth Among LA County Youth

% of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 48% School Organized (school) 47% 24% Private/Commercial facility

Organized (non-school) 11% Public facility 42% 11% Private non-profit Casual/Pick-up 11% 7% Other

Projected Number of Players (by Region) North South East West Metro Total Participation Rate (%) 19.5% 12.3% 16.5% 10.1% 14.5% 15.4% x Age 6-17 Population 398.9 308.8 492.7 175.4 141.5 1,517.3 = Projected Players* 77.9 37.9 81.2 17.8 20.5 233.8

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

Sport Profile: CHEER/DANCE

Gender Age

Male, 7% 15~17, 6~8, 19% 29%

12~14,

Female, 26% 9~11, 93% 27%

Race/Ethnicity Household Income 45% 0% 20% 40% 60% 40% 40%

White 29% 35% 30% 28% 24% Hispanic/Latino 46% 25% 20%

Black/African-American 17% 15% 9% 10%

Asian/Pacific Islander 6% 5% 0% <$35k $35-$74k $75k-$149k $150k+

Profile Index Male 15 Players of this sport are relatively more Female 188 likely to be: Ages 6~8 115 • Female Ages 9~11 105 Ages 12~14 102 • Ages 6 to 8 Ages 15~17 77 • Black/African-American White 101 • Household income between $75k and Hispanic/Latino 97 Black/African-American $149k 140 Asian/Pacific Islander 64 <$35k 104 $35k~$74k 87 How to read this table: $75k~$149k 127 • An index of 110 means players of this sport are $150k+ 62 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

CYCLING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 8.2% 7.6% 10.2% 9.0% 6.0% 6.2% 6.8% 6.5% 9.6% 9.5% 10.1% 8.6% 6.4% 6.1% (%) National Participation Rate 25.5% 25.6% 29.0% 29.1% 21.7% 21.8% 25.0% 25.1% 30.3% 30.4% 26.1% 26.2% 18.8% 18.9% (%) Average Play Frequency (per 58.6 39.6 51.6 40.4 69.1 38.3 77.0 27.1 64.6 31.9 50.7 33.1 31.2 74.4 year)

Type of Cycling Participation Among Location of Cycling Participation Among LA County Youth LA County Youth % of participants % of participants 0% 20% 40% 60% 80% 60% 40% 20% 0% 58% 55% Public facility Casual/Pick-up 60% 64% 18% 27% Other 12% Organized (school) 2016 5% 9% 6% School 2018 5% 22% Private/Commercial facility Organized (non-school) 5% 15% 4% 5% College/University Other 7% 12% 12% 3% Private non-profit

*National participation measures road, mountain, and BMX biking.

Projected Numbers of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 5.7% 7.2% 4.6% 4.4% 7.4% 6.5% 15.3% 12.8% 16.3% 12.3% 8.2% 7.6% -0.6% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 22.8 28.6 14.2 13.5 36.6 32.2 26.9 22.5 23.1 17.5 124.8 115.5 -7.4% Players* 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

Sport Profile: CYCLING

Gender Age

100% 2016 2018 90% 40% 80% 39% 45% 35% 34% 70% 30% 30% 60% 27% 26% Female 23% 24% 50% 25% Male 19% 40% 20% 18% 30% 61% 15% % of % participants 55% 20% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 12% 90% 16%

80% White 57% 42% 70% $150k+ 60% 44% 56% Hispanic/Latino 25% 41% 2016 50% $75k-$149k 2018 40% Black/African-American 9% 30% $35-$74k 3% 20% 20% 20% <$35k 6% 10% 19% Asian/Pacific Islander 13% 15% 0% 2016 2018 Profile - Index 2016 2018 Male 113 109 Players of this sport are relatively more Female 85 91 likely to be: Ages 6~8 94 90 • Male Ages 9~11 115 133 • Ages 9 to 11

Ages 12~14 119 95 • Asian/Pacific Islander and White Ages 15~17 74 80

White 178 143 • More affluent Hispanic/Latino 51 87 Black/African-American 70 24

Asian/Pacific Islander 98 150 How to read this table: <$35k 98 55 • An index of 110 means players of this sport are $35k~$74k 65 61 10% MORE likely to fall into that group $75k~$149k 114 179 • An index of 90 means players of this sport are $150k+ 158 85 10% LESS likely to fall into that group

FOOTBALL (FLAG)

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 7.6% 7.5% 12.6% 13.1% 2.8% 2.1% 7.3% 7.4% 6.1% 6.2% 10.9% 10.8% 7.0% 5.7% (%) National Participation Rate 4.0% 4.7% 6.4% 7.1% 1.2% 1.9% 4.0% 4.7% 4.2% 4.9% 5.4% 6.1% 3.5% 4.2% (%) Average Play Frequency (per 46.6 29.6 51.6 31.1 24.9 17.2 65.1 19.2 28.2 19.0 58.0 28.2 19.0 80.1 year)

Type of Flag Football Participation Location of Flag Football Participation Among LA County Youth Among LA County Youth % of participants % of participants 60% 40% 20% 0% 0% 20% 40% 60% 47% 53% School Casual/Pick-up 16% 20% 2016 28% 31% Public facility 2018 Organized (school) 53% 4% 52% 5% Private/Commercial facility 9% 4% Private non-profit Organized (non-school) 27% 26% 4% Other 4% Other 5% 9% 2% 3% College/University

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 5.7% 6.5% 9.6% 9.6% 6.1% 6.4% 8.6% 8.8% 12.3% 8.2% 7.6% 7.5% 0.0% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 22.8 25.9 29.7 29.7 29.8 31.8 15.1 15.4 17.4 11.7 114.9 114.4 -0.4% Players* 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

Sport Profile: FOOTBALL (FLAG)

Gender Age 100% 10% 2016 2018 90% 18% 40% 37% 80% 35% 31% 70% 29% 30% 26% 60% Female 25% 22% 50% 20% 20% 90% Male 20% 40% 82% 15%

30% 15% % of % participants 20% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 11% 10% 90%

38% 80% White 33% 30% 70% 42% $150k+ 60% Hispanic/Latino 46% 45% 2016 50% $75k-$149k 2018 40% 40% $35-$74k 12% 23% Black/African-American 18% 30% 20% <$35k 2% 10% 24% 21% Asian/Pacific Islander 5% 0% 2016 2018

Profile - Index 2016 2018 Male 152 177 Players of this sport are relatively Female 40 20 more likely to be: Ages 6~8 110 101 • Male Ages 9~11 76 88 Ages 12~14 131 146 • Ages 12 to 14 Ages 15~17 85 63 • Black/African-American White 120 112 • Household income between Hispanic/Latino 94 95 $35k-$74k Black/African-American 98 150 Asian/Pacific Islander 27 45 <$35k 122 92 How to read this table: $35k~$74k • An index of 110 means players of this sport are 73 124 $75k~$149k 108 95 10% MORE likely to fall into that group $150k+ 109 68 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

FOOTBALL (TACKLE)

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 8.4% 7.6% 16.4% 14.6% 0.7% 0.7% 4.5% 4.3% 4.8% 5.2% 12.6% 9.8% 14.6% 12.2% (%) National Participation Rate 6.4% 5.9% 11.3% 10.9% 0.7% 0.2% 2.1% 1.7% 6.1% 5.7% 9.3% 8.8% 8.6% 8.1% (%) Average Play Frequency (per 60.0 35.5 62.4 36.8 8.7 12.5 38.5 24.7 41.3 64.5 85.1 25.2 56.3 30.3 year)

Type of Tackle Football Participation Location of Tackle Football Participation Among LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 56% 45% School Casual/Pick-up 24% 20% 20% 38% Public facility 51% 2016 Organized (school) 4% 44% 2018 6% Private non-profit

8% Private/Commercial facility Organized (non-school) 23% 5% 34% 2% 3% Other Other 1% 1% 10% 2% College/University

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % (%) x Age 6-17 7.7% 7.5% 12.2% 10.8% 4.8% 5.5% 8.3% 7.7% 14.3% 8.4% 8.4% 7.6% -0.8% Population = Projected 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Players* 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

Sport Profile: FOOTBALL (TACKLE)

Gender Age

100% 2016 2018 99% 45% 38% 40% 36% 98% 5% 5% 35% 31% 97% Female 30% 27% 96% 25% Male 21% 20% 17%16% 95% 14% 15% % of % participants 94% 96% 10% 95% 93% 5% 92% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income

100% 0% 20% 40% 60% 11% 10% 90% 40% 80% White 32% 24% 70% 44% $150k+ 60% Hispanic/Latino 38% 48% 2016 50% $75k-$149k 27% 2018 40% $35-$74k Black/African-American 18% 19% 25% 30% <$35k 20% 31% Asian/Pacific Islander 3% 26% 1% 10% 0% Profile - Index 2016 2018

2016 2018 Male 177 187 Female 10 11 Players of this sport are relatively more Ages 6~8 59 65 likely to be: Ages 9~11 55 84 • Male Ages 12~14 139 106 • Ages 15 to 17 Ages 15~17 162 149 White 124 81 • Black/African-American Hispanic/Latino 78 102 • Low-income households Black/African-American 148 202 Asian/Pacific Islander 43 11 <$35k 132 137 How to read this table: • An index of 110 means players of this sport are $35k~$74k 61 85 10% MORE likely to fall into that group $75k~$149k 113 102 • An index of 90 means players of this sport are $150k+ 109 70 10% LESS likely to fall into that group

GYMNASTICS

New sport/activity added for 2018 survey, therefore no 2016 comparisons available.

Ages Ages Ages Ages Total Male Female 6~8 9~11 12~14 15~17 LA Participation Rate (%) 9.4% 1.8% 16.6% 12.7% 10.6% 9.0% 4.9% National Participation Rate (%) 5.7% 1.8% 15.9% 20.0% 8.9% 4.6% 3.8% Average Play Frequency (per year) 47.6 26.6 50.0 43.8 43.9 60.8 40.9

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

% of participants % of participants 0% 20% 40% 60% 80% 60% 40% 20% 0%

40% Private/Commercial facility Organized (non-school) 63% 28% School

Organized (school) 24% 15% Private non-profit 13% Public facility Casual/Pick-up 12% 3% College/University Other 1% 1% Other

Projected Number of Players (by Region) North South East West Metro Total Participation Rate (%) 12.6% 5.9% 10.1% 8.2% 7.9% 9.4% x Age 6-17 Population 398.9 308.8 492.7 175.4 141.5 1,517.3 = Projected Players* 50.4 18.4 50.0 14.3 11.1 143.1 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

Sport Profile: GYMNASTICS

Gender Age

Male, 10% 15~17, 12% 6~8, 35% 12~14, 24% Female, 91% 9~11, 29%

Race/Ethnicity Household Income 50% 46% 0% 20% 40% 45%

40% White 38% 35% 30% 28% Hispanic/Latino 37% 25% 20% 15% Black/African-American 15% 15% 12% 10% 5% Asian/Pacific Islander 9% 0% <$35k $35-$74k $75k-$149k $150k+ Profile Index Male 19 Female 184 Players of this sport are relatively more Ages 6~8 138 likely to be: Ages 9~11 115 • Female Ages 12~14 94 • Ages 6 to 8 Ages 15~17 51 • White and Black/African-American White 131 Hispanic/Latino 80 • Household income between $75k and Black/African-American 124 $149k Asian/Pacific Islander 89

<$35k 51 $35k~$74k 87 How to read this table: $75k~$149k 146 • An index of 110 means players of this sport are $150k+ 106 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

HOCKEY (ICE/ROLLER)

New sport/activity added for 2018 survey, therefore no 2016 comparisons available. Ages Ages Ages Ages Total Male Female 6~8 9~11 12~14 15~17 LA Participation Rate (%) 1.6% 2.5% 0.6% 3.8% 0.9% 1.2% 0.2% National Participation Rate (%) 2.4% 2.5% 1.9% 1.3% 2.7% 1.4% 3.2% Average Play Frequency (per year) 18.1 18.4 16.6 13.6 20.3 34.6 27.4

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

% of participants % of participants 0% 20% 40% 60% 40.0% 20.0% 0.0%

Casual/Pick-up 33% Public facility 46%

Organized (school) 31% School 26% Private/Commercial Organized (non-school) 26% 26% facility

Other 11% College/University 3%

Projected Number of Players (by Region) North South East West Metro Total Participation Rate (%) 1.0% 0.8% 2.6% 1.8% 1.2% 1.6% x Age 6-17 Population 398.9 308.8 492.7 175.4 141.5 1,517.3 = Projected Players* 4.1 2.6 12.9 3.1 1.7 24.6

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

Sport Profile: HOCKEY (ICE/ROLLER)

Gender Age

15~17, 3% Female, 12~14, 20% 20%

9~11, 15% Male, 80% 6~8, 63%

Household Income Race/Ethnicity 50% 44% 0% 50% 100% 45% 40% White 72% 35% 30% 25% Hispanic/Latino 12% 25% 20% 20% Black/African-American 3% 15% 12% 10%

5% Asian/Pacific Islander 10% 0% <$35k $35-$74k $75k-$149k $150k+

Profile Index Male 157 Players of this sport are relatively more Female 41 likely to be:

Ages 6~8 246 • Male Ages 9~11 58

Ages 12~14 80 • Ages 6 to 8 Ages 15~17 11 • White White 247 • Household income $150k+ Hispanic/Latino 25 Black/African-American 21 Asian/Pacific Islander 96 <$35k 52 $35k~$74k 61 How to read this table:

$75k~$149k 141 • An index of 110 means players of this sport are $150k+ 176 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

MARTIAL ARTS (E.G. KARATE, TAEKWONDO, ETC.)

New sport/activity added for 2018 survey, therefore no 2016 comparisons available.

Ages Ages Ages Ages Total Male Female 6~8 9~11 12~14 15~17 LA Participation Rate (%) 9.4% 14.8% 4.3% 15.6% 8.8% 6.3% 6.5% National Participation Rate (%) 4.5% 8.4% 4.5% 9.8% 10.5% 3.9% 3.0% Average Play Frequency (per year) 61.5 58.8 72.1 50.7 77.6 48.3 81.7

Type of Martial Arts Participation Among LA Location of Martial Arts Participation County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 80% 100% 60% 40% 20% 0%

Organized (non-school) 56% Private/Commercial facility 82% 12% Public facility Organized (school) 11% 10% School

Casual/Pick-up 9% Private non-profit 4% 8% Other Other 3% 5% College/University

Projected Number of Players (by Region) North South East West Metro Total Participation Rate (%) 14.0% 3.6% 9.1% 10.1% 9.6% 9.4% x Age 6-17 Population 398.9 308.8 492.7 175.4 141.5 1,517.3 = Projected Players* 55.7 11.1 45.0 17.8 13.6 143.1

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

Sport Profile: MARTIAL ARTS (E.G. KARATE, TAEKWONDO)

Gender Age

15~17, Female, 23% 16%

12~14, 6~8, 17% 43% Male, 77% 9~11, 24%

Race/Ethnicity Household Income

50% 0% 20% 40% 60% 45% 43% 40% White 33% 35% 32% 30% Hispanic/Latino 41% 25%

20% 15% Black/African-American 11% 15% 10% 10%

5% Asian/Pacific Islander 12% 0% <$35k $35-$74k $75k-$149k $150k+

Profile Index Male 152 Female 47 Players of this sport are relatively more Ages 6~8 169 likely to be: Ages 9~11 96 • Male

Ages 12~14 66 • Ages 6 to 8 Ages 15~17 66 • Asian/Pacific Islander White 113 Hispanic/Latino 88 • Household income between $75k and Black/African-American 90 $149k Asian/Pacific Islander 119 <$35k 45 $35k~$74k 98 How to read this table: $75k~$149k 139 • An index of 110 means players of this sport are $150k+ 105 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

RUGBY

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 0.9% 1.1% 1.2% 1.3% 0.8% 0.8% 0.5% 0.7% 0.2% 0.5% 1.7% 1.5% 1.8% 1.7% (%) National Participation Rate 0.6% 0.8% 0.8% 1.0% 0.4% 0.6% 0.5% 0.7% 0.5% 0.7% 0.7% 0.9% 0.6% 0.8% (%) Average Play Frequency (per 9.0 15.2 6.4 11.4 12.5 22.3 5.3 7.5 8.0 16.1 4.7 7.5 15.3 27.3 year)

Type of Rugby Participation Among Location of Rugby Participation Among LA County Youth LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0%

43% 21% 44% Public facility Casual/Pick-up 36% 15% 37% School 54% Organized (school) 2016 32% 16% College/University 2018 12% 10% 20% Private/Commercial facility Organized (non-school) 6% 48% 0% 0%Private non-profit 6% Other 0% 0% 0%Other

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 0.0% 0.4% 0.8% 1.2% 0.6% 0.8% 1.9% 2.1% 3.7% 2.4% 0.9% 1.1% 0.2% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 0.0 1.4 2.5 3.7 2.8 4.1 3.4 3.6 5.3 3.4 13.6 16.0 17.9% Players* 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

Sport Profile: RUGBY

Gender Age

100% 2016 2018 90% 45% 42% 80% 37% 41% 40% 37% 70% 35% 33% 60% 29% Female 30% 50% Male 25% 19% 19% 40% 20% 17% 30% 63% % of % participants 59% 15% 20% 10% 4% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 50% 100% 13% 7% 90% 80% 64% 38% White 70% 42% $150k+ 60% 2016 50% 69% 7% $75k-$149k 28% Hispanic/Latino 40% 48% 2018 $35-$74k 30% 48% 20% <$35k 3% Black/African-American 10% 18% 10% 0% 2016 2018

Profile - Index 2016 2018 Male 109 124 Players of this sport are relatively more Female 90 75 likely to be: Ages 6~8 60 75 • Male Ages 9~11 17 74 Ages 12~14 166 117 • Ages 15 to 17

Ages 15~17 176 136 • White White 199 145 • Household income of <$35k Hispanic/Latino 57 103 Black/African-American 28 79 Asian/Pacific Islander 0 0

<$35k 0 214 How to read this table: $35k~$74k 58 21 • An index of 110 means players of this sport are $75k~$149k 177 122 10% MORE likely to fall into that group $150k+ 123 47 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

RUNNING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 16.5% 16.9% 16.9% 18.1% 15.3% 15.7% 13.6% 14.4% 18.1% 16.0% 15.4% 18.6% 18.3% 19.3% (%) National Participation Rate 20.2% 21.3% 20.2% 21.3% 20.2% 21.3% 14.7% 15.8% 16.2% 17.3% 22.5% 23.6% 27.7% 28.8% (%) Average Play Frequency (per 53.9 59.4 44.2 62.2 64.4 55.8 39.0 44.2 40.2 65.6 72.5 55.3 68.9 73.8 year)

Type of Running Participation Among Location of Running Participation LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0%

46% 50% School Casual/Pick-up 42% 36% 2016 34% 36% Public facility 47% 2018 Organized (school) 6% 45% 9% Other 4% Private/Commercial facility Organized (non-school) 9% 3% 13% 5% 2% Private non-profit 2% Other 5% 5% 1% College/University

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 11.7% 13.5% 21.1% 20.3% 16.5% 17.9% 17.7% 17.7% 18.2% 15.8% 16.5% 16.9% 0.5% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 46.7 53.9 65.1 62.8 81.2 88.1 31.0 31.0 25.8 22.4 249.6 257.2 3.0% Players* 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

Sport Profile: RUNNING

Gender Age

100% 2016 2018 90% 35% 80% 46% 30% 49% 30% 27% 27% 70% 27% 26% 60% 25% 23% Female 20% 20% 50% Male 20% 40% 15% 30% % of % participants 51% 54% 10% 20% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 14% 13% 90% 80% White 36% 27% 70% 35% 37% $150k+ 60% Hispanic/Latino 40% 44% 2016 50% $75k-$149k 2018 40% 13% 27% 32% $35-$74k Black/African-American 30% 14% 20% <$35k Asian/Pacific Islander 9% 10% 24% 13% 18% 0% 2016 2018 Profile - Index 2016 2018 Male 95 106 Players of this sport are relatively more

Female 106 94 likely to be: Ages 6~8 94 89 • Male Ages 9~11 106 80 • Ages 12~14 92 119 Ages 12 to 14 Ages 15~17 108 112 • Asian/Pacific Islander

White 112 94 • Household income between $75k and Hispanic/Latino 83 94 $149k Black/African-American 102 119 Asian/Pacific Islander 152 131 <$35k 124 81 How to read this table: $35k~$74k 86 100 • An index of 110 means players of this sport are $75k~$149k 91 118 10% MORE likely to fall into that group $150k+ 130 92 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

SKATEBOARDING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 8.8% 8.5% 13.8% 13.1% 3.8% 4.0% 6.6% 6.5% 8.6% 8.2% 8.8% 9.0% 12.0% 10.6% (%) National Participation Rate 6.9% 6.6% 10.3% 10.0% 3.0% 2.7% 4.6% 4.3% 6.7% 6.4% 7.3% 7.0% 5.8% 5.5% (%) Average Play Frequency (per 90.2 76.7 95.2 82.9 72.5 58.1 74.2 28.6 88.6 53.1 93.9 75.6 102.1 133.3 year)

**Type & Location of Participation was not asked due to nature of sport 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 North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 7.2% 8.1% 9.9% 8.0% 9.1% 8.3% 8.6% 9.9% 10.5% 9.5% 8.8% 8.5% -0.3% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 28.7 32.2 30.4 24.7 44.6 40.9 15.1 17.3 14.9 13.4 133.4 129.1 -3.3% Players*

Gender Age 100% 2016 2018 90% 22% 35% 26% 31% 80% 30% 28% 27% 70% 25% 24%25% 25% 60% Female 20% 21% 20% 50% Male 40% 78% 74% 15% 30% 10% % of % participants 20% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 11% 11%

28% 80% White 33% 33% 45% $150k+ 60% Hispanic/Latino 52% $75k-$149k 47% 23% 2016 40% $35-$74k 15% 2018 29% Black/African-American 12% 20% 33% <$35k

Sport Profile: SKATEBOARDING

Profile - Index 2016 2018 Players of this sport are relatively more Male 145 145

Female likely to be: 48 53 Ages 6~8 87 78 • Male Ages 9~11 93 98 • Ages 15 to 17 Ages 12~14 93 112 • Black/African-American

Ages 15~17 129 113 • More affluent White 86 112 Hispanic/Latino 107 100 Black/African-American 120 95 Asian/Pacific Islander 48 74 How to read this table: <$35k 76 147 • An index of 110 means players of this sport are $35k~$74k 92 70 10% MORE likely to fall into that group $75k~$149k 116 106 • An index of 90 means players of this sport are $150k+ 107 79 10% LESS likely to fall into that group

SNOWBOARDING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 3.3% 3.0% 3.8% 4.0% 2.7% 2.1% 1.4% 2.6% 2.1% 2.3% 6.6% 4.4% 4.1% 3.4% (%) National Participation Rate 4.1% 4.0% 5.8% 5.7% 2.8% 2.7% 1.6% 1.5% 3.7% 3.6% 5.0% 4.9% 5.8% 5.7% (%) Average Play Frequency (per 15.7 9.8 20.2 11.0 9.8 6.7 7.8 15.3 7.7 4.0 22.9 6.2 13.0 10.4 year) **Type & Location of Participation was not asked due to nature of sport

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 3.4% 2.9% 4.3% 3.6% 1.7% 1.8% 5.1% 4.7% 3.1% 3.9% 3.3% 3.0% -0.2% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 13.6 11.5 13.2 11.1 8.4 8.9 9.0 8.2 4.3 5.6 49.4 46.3 -6.4% Players* 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

Gender Age 100% 2016 2018 27% 50% 80% 43% 42% 40% 34% 60% Female 30% 28% Male 22% 24% 40% 20% 73% 20% 16% 57% 14%

% of % participants 20% 10%

0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 16% 27% 48% 80% White 52% $150k+ 30% 60% Hispanic/Latino 42% 2016 $75k-$149k 74% 2018 40% 63% $35-$74k Black/African-American 4% 0% 20% <$35k Asian/Pacific Islander 8% 6% 10% 10% 0% 2016 2018 ©2018 LA84 Foundation 48 LA84 Foundation: 2018 Youth Sports Participation Report

Sport Profile: SNOWBOARDING

Players of this sport are relatively more Profile - Index 2016 2018 likely to be: Male 106 144 • Male Female 93 55 • Ages 12 to 14 Ages 6~8 49 133 Ages 9~11 63 88 • White Ages 12~14 191 79 • More affluent Ages 15~17 116 99 White 150 179 Hispanic/Latino 62 90 How to read this table: Black/African-American 34 0 • An index of 110 means players of this sport are Asian/Pacific Islander 128 59 10% MORE likely to fall into that group <$35k 0 0 • An index of 90 means players of this sport are $35k~$74k 31 32 10% LESS likely to fall into that group $75k~$149k 190 200 $150k+ 158 195

SOCCER Note: For the 2018 survey, soccer was changed from separate outdoor & indoor categories to one single activity. 2016 results shown for comparison are from the outdoor category.

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 28.8% 27.1% 36.2% 34.4% 21.6% 19.8% 24.5% 27.0% 34.3% 31.9% 32.3% 28.5% 26.1% 21.0% (%) National Participation Rate 14.7% 13.3% 16.9% 15.5% 12.2% 10.8% 19.0% 17.6% 18.3% 16.9% 13.4% 12.0% 10.9% 9.5% (%) Average Play Frequency (per 52.0 57.5 47.9 55.5 58.8 61.2 39.6 60.5 40.0 53.9 62.4 64.7 73.8 45.4 year)

Type of Soccer Participation Among Location of Soccer Participation Among LA County Youth LA County Youth % of participants % of participants 60% 40% 20% 0% 0% 20% 40% 60% 42% 46% Public facility Casual/Pick-up 16% 20% 2016 36% 34% School 39% 2018 Organized (school) 11% 31% 8% Private non-profit 6% Private/Commercial facility Organized (non-school) 44% 7% 48% 1% Other 3% Other 1% 0% 4% 3% College/University

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 26.3% 25.6% 25.5% 24.8% 29.5% 26.2% 29.9% 27.3% 37.1% 36.4% 28.8% 27.1% -1.7% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 104.9 102.1 78.6 76.5 145.3 128.9 52.4 48.0 52.5 51.6 436.2 410.5 -5.9% Players* 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

Sport Profile: SOCCER

Gender Age

100% 2016 2018 90% 35% 31% 80% 38% 37% 29%30% 30% 27% 70% 24% 25% 23% 60% Female 21% 50% 20% Male 15% 40% 15% 30% 62% 63% % of % participants 10% 20% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 12% 90% 15%

80% White 32% 30% 70% 36% 37% $150k+ 57% 60% Hispanic/Latino $75k-$149k 53% 2016 50% 40% $35-$74k 7% 2018 30% Black/African-American 30% 32% 7% 20% <$35k Asian/Pacific Islander 2% 10% 23% 10% 16% 0% 2016 2018 Profile - Index 2016 2018 Male 116 124 Players of this sport are relatively more

Female 82 75 likely to be: Ages 6~8 95 121 • Male Ages 9~11 114 119 • Ages 12~14 105 96 Ages 6 to 11 Ages 15~17 87 61 • Hispanic/Latino

White 99 102 • Household income between $75k Hispanic/Latino 118 113 and $149k Black/African-American 59 54 Asian/Pacific Islander 38 95 How to read this table: <$35k 84 102 • An index of 110 means players of this sport are $35k~$74k 103 92 10% MORE likely to fall into that group $75k~$149k 94 114 • An index of 90 means players of this sport are $150k+ 145 84 10% LESS likely to fall into that group

SOFTBALL (FAST-PITCH)

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 6.8% 5.6% 5.6% 3.9% 8.2% 7.2% 4.8% 5.0% 5.1% 3.7% 12.0% 7.7% 7.4% 6.8% (%) National Participation Rate 1.9% 1.7% 0.7% 0.4% 3.3% 3.1% 0.4% 0.2% 2.2% 2.0% 2.9% 2.7% 2.2% 1.9% (%) Average Play Frequency (per 41.9 40.2 16.0 15.7 59.2 49.4 27.0 14.6 32.8 57.6 41.0 46.6 63.6 52.7 year)

Type of Fast-Pitch Softball Location of Fast-PitchSoftball Participation Among LA County Participation Among LA County Youth Youth % of participants % of participants 80% 60% 40% 20% 0% 0% 20% 40% 60% 58% 45% Public facility Casual/Pick-up 29% 17% 2016 28% 36% School 2018 Organized (school) 40% 11% 37% 15% Private/Commercial facility 1% Private non-profit Organized (non-school) 30% 2% 45% 1% 2% College/University Other 1% 1% 1% Other 0%

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 7.1% 5.0% 7.6% 5.8% 5.4% 5.5% 5.1% 4.4% 10.2% 8.4% 6.8% 5.6% -1.2% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 28.4 20.1 23.6 17.9 26.7 27.0 9.0 7.7 14.4 11.8 102.6 85.2 -17.0% Players* 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

Sport Profile: SOFTBALL (FAST-PITCH)

Gender Age

100% 2016 2018 90% 40% 36% 80% 34% 35% 70% 60% 31% 60% 73% 30% Female 24% 50% 25% 22% 21% Male 18% 40% 20% 14%

30% 15% % of % participants 20% 40% 10% 27% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Household Income Race/Ethnicity 100% 0% 20% 40% 60% 13% 13% 80% White 39% 39% 38% $150k+ 46% 60% 47% $75k-$149k Hispanic/Latino 44% 2016

2018 40% 24% $35-$74k Black/African-American 11% 9% 28% 20% <$35k 1% 26% Asian/Pacific Islander 8% 13% 0% 2016 2018 Profile - Index 2016 2018 Male 74 53

Female 131 148 Players of this sport are relatively more Ages 6~8 78 121 likely to be: Ages 9~11 71 57 • Ages 12~14 160 83 Female • Ages 15~17 101 141 Ages 15 to 17 White 121 134 • White Hispanic/Latino 98 94 • Household Income between $75k and Black/African-American 91 74 $149k Asian/Pacific Islander 12 80 <$35k 69 113 $35k~$74k 88 76 How to read this table: $75k~$149k 118 121 • An index of 110 means players of this sport are $150k+ 127 89 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 ©2018 LA84 Foundation 53 LA84 Foundation: 2018 Youth Sports Participation Report

SOFTBALL (SLOW-PITCH)

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 7.1% 6.4% 5.7% 3.9% 8.5% 8.6% 6.6% 6.2% 9.1% 6.9% 7.8% 7.5% 4.9% 4.7% (%) National Participation Rate 3.2% 3.2% 2.0% 2.0% 4.7% 4.7% 3.1% 3.1% 3.0% 3.0% 3.4% 3.4% 4.2% 4.2% (%) Average Play Frequency (per 49.3 30.8 55.3 29.2 45.6 31.3 67.3 39.9 44.7 37.4 23.3 22.9 64.6 24.7 year)

Type of Slow-Pitch Softball Location of Slow-PitchSoftball Participation Among LA County Youth Participation Among LA County Youth % of participants % of participants 60% 40% 20% 0% 0% 20% 40% 60% 43% 51% Public facility Casual/Pick-up 28% 17% 2016 40% School 39% 2018 Organized (school) 35% 7% College/University 34% 0% 1% 5% Private/Commercial facility Organized (non-school) 36% 48% 8% 2% Private non-profit 2% Other 1% 1% 3% Other

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 6.0% 6.0% 5.9% 6.7% 7.6% 6.7% 8.2% 5.2% 9.2% 7.0% 7.1% 6.4% -0.7% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 23.9 23.9 18.3 20.8 37.4 33.1 14.4 9.1 13.0 9.9 107.5 96.9 -9.9% Players* 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

Sport Profile: SOFTBALL (SOFT-PITCH)

Gender Age

100% 2016 2018 90% 35% 32% 31% 80% 29% 30% 28% 70% 61% 25% 24% 60% 80% 21% Female 20% 50% 20% Male 15% 40% 15% 30% % of % participants 10% 20% 39% 10% 20% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 11% 90% 14% 80% White 34% 30% 35% 70% 37% $150k+ 60% Hispanic/Latino 52% 54% 2016 50% $75k-$149k

2018 40% 35% $35-$74k Black/African-American 9% 31% 8% 30% 20% <$35k 3% Asian/Pacific Islander 6% 10% 18% 19% 0% 2016 2018 Profile - Index 2016 2018 Male 72 40 Players of this sport are relatively more Female 133 161 likely to be: Ages 6~8 103 110 • Female Ages 9~11 124 84 Ages 12~14 106 124 • Ages 12 to 14 Ages 15~17 65 81 • Hispanic/Latino White 105 102 • Household income between $75k Hispanic/Latino 107 116 and $149k Black/African-American 70 69

Asian/Pacific Islander 53 56 <$35k 92 82 How to read this table: $35k~$74k 97 108 • An index of 110 means players of this sport are $75k~$149k 96 113 10% MORE likely to fall into that group • $150k+ 136 81 An index of 90 means players of this sport are 10% LESS likely to fall into that group

SURFING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 3.9% 3.2% 5.0% 4.2% 3.0% 2.2% 2.2% 2.0% 4.0% 2.9% 5.1% 4.0% 5.3% 4.5% (%) National Participation Rate 1.4% 1.5% 1.5% 1.6% 1.2% 1.3% 0.7% 0.8% 1.2% 1.3% 1.9% 2.0% 1.7% 1.8% (%) Average Play Frequency (per 18.2 21.8 17.5 13.3 19.4 41.6 10.1 8.7 11.3 16.1 33.5 12.7 15.9 41.1 year) **Type & Location of Participation was not asked due to nature of sport

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 4.9% 3.6% 2.9% 2.0% 2.7% 2.5% 5.1% 4.5% 5.1% 5.0% 3.9% 3.2% -0.7% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 19.5 14.5 8.9 6.0 13.1 12.3 9.0 8.0 7.2 7.1 59.3 48.9 -17.5% Players* 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

Gender Age 100% 2016 2018 40% 80% 38% 31% 34% 30% 30% 30% 26% 60% Female 25% Male 19% 40% 20% 18% 18% 69% 62% 20% % of % participants 10% 0% 2016 2018 0% 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 50% 100% 25% 66% 80% 43% White 65% $150k+ 22% 60% Hispanic/Latino 18% 2016 $75k-$149k 40% 62% 3% 2018 38% $35-$74k Black/African-American 0% 20% <$35k Asian/Pacific Islander 2% 12% 15% 11% 0% 2% 7% 2016 2018

Sport Profile: SURFING

Profile - Index 2016 2018 Players of this sport are relatively more Male 114 136 likely to be: Female 83 63 Ages 6~8 63 76 • Male Ages 9~11 98 69 • Ages 15 to 17 Ages 12~14 119 117 • White Ages 15~17 128 140 • More affluent White 206 225 Hispanic/Latino 45 39 Black/African-American 27 0 Asian/Pacific Islander 35 150 How to read this table: <$35k 11 32 • An index of 110 means players of this sport are $35k~$74k 35 39 10% MORE likely to fall into that group • An index of 90 means players of this sport are $75k~$149k 160 121 $150k+ 237 304 10% LESS likely to fall into that group

SWIMMING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 27.1% 26.7% 27.4% 26.0% 25.9% 27.1% 30.4% 31.3% 32.1% 29.6% 25.4% 25.8% 17.1% 18.5% (%) National Participation Rate 12.9% 13.5% 12.5% 13.1% 13.4% 14.0% 11.3% 11.9% 14.1% 14.7% 12.4% 13.0% 13.7% 14.3% (%) Average Play Frequency (per 43.7 46.8 35.2 50.4 52.2 43.6 44.5 42.3 35.8 41.7 44.2 44.3 56.9 66.1 year)

Type of Swimming Participation Location of Swimming Participation Among LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0%

33% Public facility Casual/Pick-up 39% 39% 35% 2016 21% 20% Private/Commercial facility 21% 2018 Organized (school) 16% 16% 14% Private non-profit

19% School Organized (non-school) 37% 12% 41% 7% 12% Other 3% Other 3% 8% 5% College/University

*These national numbers represent “swimming on a team” and “swimming for fitness” as categorized on Physical Activity Council participation data. For this study, we just asked “swimming”, so this also include recreational swimmers. Therefore, direct comparisons are slightly misleading.

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 23.8% 25.7% 27.0% 22.6% 24.8% 25.3% 34.2% 33.2% 34.3% 33.0% 27.1% 26.7% -0.4% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 94.9 102.4 83.4 69.7 122.2 124.7 59.9 58.3 48.6 46.8 411.5 405.1 -1.5% Players* 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

Sport Profile: SWIMMING

Gender Age

100% 2016 2018 90% 40% 35% 80% 33% 50% 35% 70% 54% 30% 30% 26% 60% 24% Female 25% 50% 20% Male 20% 17% 40% 15% 15% 30% % of % participants 50% 20% 46% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 90% 17% 22% 80% White 39% 36% 70% $150k+ 60% 44% 33% Hispanic/Latino 40% 37% 2016 50% $75k-$149k 2018 40% 13% $35-$74k Black/African-American 30% 9% 26% 34% 20% <$35k 6% 10% Asian/Pacific Islander 15% 13% 11% 0% 2016 2018 Profile - Index 2016 2018 Male 93 90 Female 108 110 Players of this sport are relatively more Ages 6~8 124 129 likely to be: Ages 9~11 115 103 • Female

Ages 12~14 90 96 • Ages 6 to 8 Ages 15~17 64 70 • White 121 125 Asian/Pacific Islander and White Hispanic/Latino 83 79 • High-income households Black/African-American 106 76 Asian/Pacific Islander 100 150 <$35k 65 49 How to read this table: $35k~$74k 84 104 • An index of 110 means players of this sport are $75k~$149k 112 106 10% MORE likely to fall into that group $150k+ 167 159 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

TENNIS

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 10.6% 9.1% 8.9% 8.0% 12.3% 10.1% 10.5% 8.2% 11.0% 8.8% 13.0% 11.0% 8.2% 8.7% (%) National Participation Rate 8.2% 8.9% 8.7% 9.4% 8.1% 8.8% 5.2% 5.8% 8.1% 8.7% 8.5% 9.1% 10.7% 11.4% (%) Average Play Frequency (per 34.4 47.2 32.8 29.1 35.4 62.7 31.2 32.4 22.0 31.4 47.9 37.4 40.4 80.2 year)

Type of Tennis Participation Among Location of Tennis Participation Among LA County Youth LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 32% 43% Public facility Casual/Pick-up 42% 37% 2016 31% 25% School 29% 2018 Organized (school) 17% 23% 21% Private/Commercial facility

10% Private non-profit Organized (non-school) 30% 5% 37% 10% 5% College/University Other 0% 3% 1% Other

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 6.6% 6.3% 9.5% 7.0% 7.1% 7.2% 14.2% 15.3% 31.3% 19.9% 10.6% 9.1% -1.4% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 26.3 25.0 29.4 21.7 35.0 35.3 24.8 26.8 44.2 28.1 160.6 138.8 -13.6% Players* 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

Sport Profile: TENNIS

Gender Age

100% 2016 2018 90% 35% 80% 31% 30% 70% 57% 56% 30% 26% 26% 25% 60% 25% 23% Female 21% 50% 19% Male 20% 40% 15%

30% % of % participants 20% 43% 44% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 90% 19% 20%

43% 80% White 52% 70% $150k+ 41% 60% Hispanic/Latino 51% 25% 2016 50% 62% $75k-$149k 2018 40% $35-$74k Black/African-American 5% 6% 30% <$35k 20% 23% Asian/Pacific Islander 9% 10% 16% 10% 11% 0% 6% 2016 2018 Profile - Index 2016 2018 Male 79 86 Players of this sport are relatively more

Female 125 114 likely to be: Ages 6~8 109 81 • Female Ages 9~11 99 90 Ages 12~14 112 120 • Ages 12 to 14 Ages 15~17 79 110 • White and Asian/Pacific Islander

White 134 181 • Household income of $75k+ Hispanic/Latino 84 54 Black/African-American 41 50 Asian/Pacific Islander 147 163 <$35k 54 27 $35k~$74k 31 70 How to read this table: • An index of 110 means players of this sport are $75k~$149k 158 164 10% MORE likely to fall into that group $150k+ 178 142 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

TRACK & FIELD

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 9.5% 9.8% 10.6% 10.8% 7.5% 8.8% 4.2% 6.1% 9.1% 8.7% 14.0% 14.5% 11.7% 11.3% (%) National Participation Rate 4.5% 4.6% 5.0% 5.1% 3.9% 4.0% 1.7% 1.8% 3.0% 3.1% 6.5% 6.6% 7.6% 7.7% (%) Average Play Frequency (per 35.2 44.9 31.0 41.3 40.2 49.2 16.7 36.6 30.2 30.3 44.5 42.5 40.0 68.7 year)

Type of Track & Field Participation Location of Track & Field Participation Among LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 80% 60% 40% 20% 0% 69% 2016 66% School Casual/Pick-up 17% 13% 2018 13% 21% Public facility 69% Organized (school) 8% 63% 7% Private/Commercial facility

0% Private non-profit Organized (non-school) 13% 3% 24% 2% 2% Other Other 1% 0% 9% 2% College/University

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 8.6% 8.6% 13.0% 9.8% 8.7% 11.6% 6.7% 8.8% 10.9% 9.1% 9.5% 9.8% 0.3% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 34.3 34.4 40.1 30.2 42.6 56.9 11.7 15.4 15.5 12.9 144.6 149.3 3.2% Players* 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

Sport Profile: TRACK & FIELD

Gender Age

100% 2016 2018 90% 40% 36% 80% 45% 47% 35% 32% 70% 30% 28% 60% 25% 25% Female 25% 50% 20% 20% Male 20% 40% 15% 30% 15% % of % participants 55% 53% 20% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 90% 15% 15%

80% White 28% 26% 70% 35% $150k+ 60% 44% Hispanic/Latino 47% $75k-$149k 48% 2016 50% 2018 40% $35-$74k Black/African-American 15% 30% 35% 14% 26% 20% <$35k Asian/Pacific Islander 7% 10% 11% 15% 15% 0% 2016 2018 Profile - Index 2016 2018 Players of this sport are relatively more Male 103 105 Female 97 95 likely to be: Ages 6~8 53 79 • Male Ages 9~11 98 77 • Ages 12 to 14 Ages 12~14 142 142 • Ages 15~17 120 102 Black/African-American White 88 89 • Household income of $35k+ Hispanic/Latino 97 102 Black/African-American 123 117 Asian/Pacific Islander 117 106 How to read this table: <$35k 77 65 • An index of 110 means players of this sport are $35k~$74k 83 108 10% MORE likely to fall into that group $75k~$149k 112 112 • An index of 90 means players of this sport are $150k+ 148 109 10% LESS likely to fall into that group

VOLLEYBALL (COURT)

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 10.3% 8.9% 6.7% 5.6% 13.4% 12.0% 5.5% 4.5% 11.7% 7.5% 15.4% 13.6% 10.1% 11.7% (%) National Participation Rate 5.2% 5.2% 2.3% 2.3% 8.4% 8.5% 1.4% 1.4% 4.8% 4.8% 9.2% 9.2% 5.4% 5.4% (%) Average Play Frequency (per 32.0 44.0 18.3 30.5 38.3 49.9 26.2 11.9 33.3 20.5 31.8 41.4 35.0 62.7 year)

Type of Volleyball (court) Participation Location of Volleyball (court) Among LA County Youth Participation Among LA County Youth % of participants % of participants 80% 60% 40% 20% 0% 0% 20% 40% 60%

54% School 21% 73% Casual/Pick-up 16% 19% 2016 20% Public facility 55% 2018 Organized (school) 4% College/University 67% 0%

10% Private/Commercial facility 23% 4% Organized (non-school) 18% 12% 4% Private non-profit 1% Other 1% Other 0% 0%

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 10.6% 8.5% 6.2% 6.4% 7.8% 8.8% 12.1% 11.1% 22.8% 13.3% 10.3% 8.9% -1.3% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 42.3 33.9 19.3 19.7 38.2 43.4 21.3 19.4 32.3 18.8 155.7 135.6 -12.9% Players* 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

Sport Profile: VOLLEYBALL (COURT)

Gender Age

100% 2016 2018 90% 45% 80% 39% 40% 38% 70% 68% 70% 35% 31% 60% Female 30% 28% 50% 24% Male 25% 40% 20% 17% 30% % of % participants 15% 12% 11% 20% 32% 30% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income

0% 20% 40% 60% 100% 90% 17% 19% White 45% 80% 44% 70% $150k+ 35% 60% 41% Hispanic/Latino 2016 54% 34% 50% $75k-$149k 2018 40% Black/African-American 12% $35-$74k 10% 30% 32% 20% 18% <$35k Asian/Pacific Islander 5% 12% 10% 11% 8% 0%

Profile - Index 2016 2018 2016 2018

Male 59 60 Female 148 141 Players of this sport are relatively more Ages 6~8 60 47 likely to be:

Ages 9~11 110 42 • Female Ages 12~14 141 152 • Ages 15~17 100 162 Ages 15 to 17 White 141 150 • White Hispanic/Latino 72 72 • Middle class-to-affluent

Black/African-American 100 84 households Asian/Pacific Islander 87 119 <$35k 59 37 How to read this table: $35k~$74k 58 98 • An index of 110 means players of this sport are $75k~$149k 138 132 10% MORE likely to fall into that group

$150k+ 163 135 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

VOLLEYBALL (SAND/BEACH)

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 4.6% 3.8% 4.6% 3.3% 4.6% 4.4% 3.5% 2.5% 4.1% 3.3% 5.9% 5.3% 5.7% 4.5% (%) National Participation Rate 1.3% 1.3% 1.3% 1.3% 1.4% 1.4% 0.3% 0.3% 0.5% 0.5% 1.8% 1.8% 2.8% 2.8% (%) Average Play Frequency (per 19.7 32.4 6.9 11.6 32.1 41.5 9.6 72.9 13.8 19.5 31.7 24.9 21.7 30.2 year)

Type of Volleyball (sand/beach) Location of Volleyball (sand) Participation Among LA County Youth Participation Among LA County Youth % of participants % of participants 80% 60% 40% 20% 0% 0% 20% 40% 60% 60% 44% Public facility Casual/Pick-up 50% 46% 2016 12% School 29% 2018 24% 12% Organized (school) 10% Private/Commercial facility 33% 1% 10% Other Organized (non-school) 25% 16% 2% 7% Private non-profit 1% Other 12% College/University 5% 0%

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 3.2% 3.1% 3.5% 2.6% 1.7% 1.9% 6.7% 5.4% 16.7% 12.6% 4.5% 3.8% -0.7% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 12.7 12.3 10.9 7.9 8.4 9.1 11.7 9.5 23.6 17.8 68.0 57.8 -14.9% Players* 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

Sport Profile: VOLLEYBALL (SAND/BEACH)

Gender Age

100% 2016 2018 90% 45% 80% 39% 50% 40% 70% 69% 35% 60% Female 30% 26% 28%26% 50% 24% Male 25% 22%21% 40% 20% 15% 30% 15% % of % participants 50% 20% 10% 31% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income

100% 0% 50% 100% 17% 90% 24% White 51% 80% 63% 70% $150k+ 33% 60% Hispanic/Latino 2016 37% 19% 50% 64% $75k-$149k 2018 40% Black/African-American 9% $35-$74k 10% 30% 28% 20% 4% <$35k Asian/Pacific Islander 10% 15% 5% 11% 0% 4% 2016 2018 Profile - Index

2016 2018 Male 92 61 Female 109 140 Players of this sport are relatively more Ages 6~8 83 57 likely to be: Ages 9~11 86 83 • Female Ages 12~14 119 153 • Ages 12 to 14 Ages 15~17 117 108 • White White 160 218 Hispanic/Latino 69 40 • Affluent households Black/African-American 76 79 Asian/Pacific Islander 68 50 How to read this table: <$35k 19 47 • An index of 110 means players of this sport are $35k~$74k 49 88 10% MORE likely to fall into that group $75k~$149k 165 118 • An index of 90 means players of this sport are $150k+ 162 174 10% LESS likely to fall into that group

WATER POLO

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 2.9% 2.1% 4.0% 2.8% 1.8% 1.4% 2.1% 1.6% 2.9% 1.7% 2.3% 2.2% 4.7% 3.1% (%) Average Play Frequency (per 15.8 27.6 18.6 18.0 10.1 44.6 7.3 2.3 11.6 9.0 10.2 49.5 26.8 29.3 year)

*Water Polo is not included in the Physical Activity Council’s national study.

s Type of Water Polo Participation Location of Water Polo Participation Among LA County Youth Among LA County Youth % of participants % of participants 60% 40% 20% 0% 0% 20% 40% 60% 49% 50% School Casual/Pick-up 20% 29% 34% Public facility 2016 33% Organized (school) 52% 2018 8% 32% College/University 11% 4% 6% Private non-profit Organized (non-school) 21% 39% 3% Private/Commercial facility 7% Other 2% 0% Other

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 1.4% 0.9% 2.3% 1.6% 2.2% 1.8% 5.5% 4.6% 7.5% 4.4% 2.9% 2.1% -0.8% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 5.6 3.4 7.1 4.9 10.7 9.1 9.7 8.0 10.6 6.2 44.5 32.3 -27.5% Players* 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

Sport Profile: WATER POLO

Gender Age

100% 2016 2018 90% 40% 80% 33% 36% 35% 36% 35% 70% 30% 30% 60% Female 24% 24% 50% 25% 22% Male 18% 40% 20% 67%

30% 64% 15% 11% % of % participants 20% 10% 10% 5% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 100% 0% 20% 40% 60% 90% 20% 33% 50% 80% White 51% 70% $150k+ 60% Hispanic/Latino 39% 2016 50% 60% $75k-$149k 2018 44% 40% Black/African-American 9% $35-$74k 12% 30% 20% 2% <$35k Asian/Pacific Islander 18% 38% 10% 19% 6% 0% Profile - Index 2016 2018 2016 2018 Male 124 126 Players of this sport are relatively more Female 72 73 likely to be: Ages 6~8 78 95 Ages 9~11 94 45 • Male Ages 12~14 81 139 • Ages 12 to 17 Ages 15~17 150 122 • Asian/Pacific Islander and White White 157 174 • Affluent households with $150K+ Hispanic/Latino 81 0 Black/African-American 72 97 income

Asian/Pacific Islander 0 377 <$35k 95 26 How to read this table: $35k~$74k 5 54 • An index of 110 means players of this sport are

$75k~$149k 154 142 10% MORE likely to fall into that group $150k+ 192 232 • An index of 90 means players of this sport are 10% LESS likely to fall into that group

WRESTLING

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

2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 LA County Participation Rate 3.2% 3.0% 4.8% 4.5% 1.8% 1.4% 1.4% 1.9% 2.9% 1.7% 2.7% 2.6% 7.0% 6.2% (%) National Participation Rate 1.5% 1.5% 2.3% 2.3% 0.5% 0.5% 0.8% 0.8% 1.4% 1.4% 1.9% 1.9% 2.5% 2.5% (%) Average Play Frequency (per 35.7 41.8 45.1 51.1 10.7 10.8 4.6 20.5 49.6 5.4 13.3 35.8 46.5 64.6 year)

Type of Wrestling Participation Location of Wrestling Participation Among LA County Youth Among LA County Youth % of participants % of participants 0% 20% 40% 60% 60% 40% 20% 0% 47% 44% School Casual/Pick-up 36% 25% 2016 3% 18% Private/Commercial facility 53% 2018 Organized (school) 14% 36% 14% Private non-profit

2% College/University Organized (non-school) 3% 12% 35% 19% 9% Public facility Other 8% 3% 16% 3% Other

Projected Number of Players (by North South East West Metro Total change Region) 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 2016 2018 % Participation Rate 2.9% 2.9% 3.2% 2.0% 2.1% 3.3% 4.7% 3.0% 5.8% 4.4% 3.2% 3.0% -0.2% (%) x Age 6-17 398.6 398.9 308.5 308.8 492.3 492.7 175.2 175.4 141.4 141.5 1,516.1 1,517.3 0.1% Population = Projected 11.5 11.7 9.9 6.3 10.3 16.1 8.2 5.2 8.1 6.2 48.2 44.9 -6.9% Players* 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

Sport Profile: WRESTLING

Gender Age

100% 2016 2018 90% 27% 22% 60% 80% 48%48% 70% 50% 60% Female 40% 50% Male 40% 30% 24% 73% 78% 22% 23% 30% 17% % of % participants 20% 14% 20% 10% 10% 6% 0% 0% 2016 2018 6~8 9~11 12~14 15~17

Race/Ethnicity Household Income 0% 20% 40% 60% 100% 12% 90% 14% White 41% 80% 48% 70% 34% $150k+ 60% Hispanic/Latino 51% 38% 63% 2016 50% $75k-$149k

2018 40% 28% Black/African-American 7% $35-$74k 8% 30% 20% <$35k Asian/Pacific Islander 0% 22% 27% 6% 10% 0% 1%

Profile - Index 2016 2018 2016 2018 Male 135 154 Players of this sport are relatively more Female 59 45 likely to be: Ages 6~8 48 93 • Male Ages 9~11 85 23 Ages 12~14 76 91 • Ages 15 to 17

Ages 15~17 201 198 • White White 129 166 • Low-to-middle-income households Hispanic/Latino 105 80 Black/African-American 53 69 Asian/Pacific Islander 0 58 <$35k 5 118 How to read this table: $35k~$74k 71 87 • An index of 110 means players of this sport are $75k~$149k 163 108 10% MORE likely to fall into that group • An index of 90 means players of this sport are $150k+ 130 83 10% LESS likely to fall into that group

Type & Location of Play

LA County -Type of Youth Sports Participation 100% 90% 20% 28% Other 80% • Less casual play overall, but 70% more organized participation 60% 33% Organized (outside of school) 32% outside of school. 50% 40% Organized (school) 30% 47% 20% 39% Casual/pickup

% of active LA county of % active LA county youth 10% 0% 2016 2018 Heat maps are relative to each group (i.e. Age, Gender)

LA County Sports Participation - Type of Play by Gender, Age Total Gender Age Age/Gender M M M F F Total Male Female 6~8 9~11 12~14 15~17 F 6~11 6~11 12~14 15~17 12~14 15~17

Casual 39% 43% 35% 38% 37% 41% 39% 41% 41% 50% 35% 42% 29%

Organized (school) 32% 26% 39% 22% 26% 36% 45% 16% 34% 38% 32% 40% 52%

Organized 28% 31% 24% 39% 37% 21% 13% 43% 24% 12% 33% 18% 14% (outside of school)

Other 1% 1% 2% 0% 0% 1% 3% 0% 2% 0% 0% 0% 5%

• Casual sports is most likely to be played among males • Females play more organized (school) sports participation Heat maps are relative to each group (i.e. Age, Gender) LA County Sports Participation - Type of Play by Adult Household Activity, Region Parent Phys. Activity Region Occ/Non-Active Active Parents North South East West Metro Parents Casual 46% 33% 38% 36% 39% 37% 49% Organized (school) 28% 35% 32% 37% 30% 33% 30% Organized (outside of school) 24% 31% 29% 25% 30% 31% 21% Other 1% 1% 1% 2% 2% - -

• Among youth of active parents, casual play is most prevalent; whereas organized (school) play is the most common type of participation among occasional/non-active parent households.

LA County Sports Participation - Type of Play by Race/Ethnicity, Household Income Race/Ethnicity Household Income Hispanic Asian/Pacific $75k- White Black <$35k $35k-$74k $150k+ /Latino Islander $149k Casual 46% 36% 33% 38% 44% 31% 46% 36% Organized (school) 28% 34% 41% 24% 34% 38% 26% 31% Organized (outside of school) 26% 28% 24% 38% 22% 30% 28% 32% Other 0% 2% 2% - 1% 1% 1% 2%

Heat maps are relative to each group (i.e. Age, Gender) • White households participate in more casual play, whereas over 40% of active Black/African- American households participate in school-organized sports.

• Since 2016, high-income households have decreased their casual play and increased their organized participation, while households <$35k have increased their casual participation and slightly decreased their organized play.

<$35k Households - Type of Sports $35k-$74k Households - Type of Sports Participation Participation 50% 50% 2016 2018 2016 2018 40% 40% 30% 30% 20% 43% 20% 44% 40% 35% 38% 36% 34% 31% 30% 10% 24%22% 10% 21% 0% 1% 1% 1% 0% 0% Casual Organized Organized Other Organized Casual Organized Other (school) (outside of (school) (outside of school) school)

$75k-$149k Households - Type of Sports $150k - Households Type of Sports Participation 60% Participation 80% 2016 2018 2016 2018 40% 60% 52% 40% 20% 46% 59% 28% 31% 26% 20% 17% 0% 1% 36% 32% 31% 22% 0% 19% 0% 2% Casual Organized Organized Other 0% (outside of (school) Casual Organized Organized Other school) (outside of (school) school)

Casual Participation by Play Frequency 0% 20% Title 40% 60% 7% Rarely (1~10) 8% • Avid youth sports participants in 23% 2016 Occ (11~38) 17% LA County increased their casual 2018 23% participation from 2016 to 2018. Reg (39~77) 18% This matches national trends. 47% Avid (78+) 57%

LA County Youth Participation Play Location

% of LA County youth 0% 20% 40% 60% 80% • Public facility 62% Less use of public facilities, 53% increasing play at School 29% private/commercial 31% 2016 facilities, non-profits, and Private/commercial facility 5% 8% 2018 schools. Private non-profit 3% 5% Other 1% 2% College/university 1% 2% Heat maps are relative to each group (i.e. Age, Gender)

LA County Youth Sports Participation - Participation Location by Age, Gender

Total Gender Age Age/Gender

M M Male Female 6~8 9~11 12~14 15~17 M 15~17 F 6~11 F 12~14 F 15~17 Total 6~11 12~14 Public facility (park, 53% 58% 47% 59% 59% 51% 41% 65% 53% 50% 53% 48% 33% pool, field, club) School 31% 26% 36% 19% 21% 34% 49% 15% 31% 43% 26% 38% 54%

Private/commercial 8% 6% 9% 11% 9% 5% 6% 9% 5% 2% 11% 5% 9%

Private non-profit 5% 6% 4% 4% 8% 5% 3% 7% 6% 4% 5% 3% 2%

Other 2% 2% 3% 3% 2% 3% 1% 2% 3% 0% 3% 4% 2%

College/University 2% 1% 2% 3% 1% 2% 1% 1% 1% 2% 2% 3% -

• Youth participants are public facilities are more likely to be male, ages 6-11 years.

LA County Youth Sports Participation - Participation Location by Region, Race/Ethnicity, Household Income Region Race/Ethnicity Household Income Hispanic/ Asian/Pacific $35k- $75k- North South East West Metro White Black <$35k $150k+ Latino Islander $74k $149k Public facility (park, 51% 48% 56% 55% 53% 51% 55% 51% 50% 52% 51% 58% 46% pool, field, club) School 32% 36% 27% 26% 34% 31% 30% 33% 28% 29% 34% 27% 32%

Private/commercial 10% 6% 7% 10% 6% 9% 6% 8% 11% 6% 7% 9% 11%

Private non-profit 4% 7% 7% 4% 3% 7% 4% 4% 8% 5% 4% 4% 8%

Other 2% 5% 1% 4% 1% 1% 3% 2% 3% 6% 2% 1% 1%

College/University 2% - 2% 1% 3% 1% 2% 2% 1% 2% 2% 1% 3%

• Participation at private/commercial facilities increase as household income increases.

<$35k Households - Place of Play $35k-$74k Households - Place of Play 0% 20% 40% 60% 100% 50% 0% Public facility 57% 61% 52% 51% Public facility 36% School 29% 29% 34% School Other 3% 2016 6% 5% Private/commercial 2018 7% Private/commercial 0% 6% 4% Private non-profit 4% Private non-profit 4% 5% 0% 2% Other College/university 0% 2% 1% 2% College/university

$75k-$149k Households - Place of Play $150k+ Households - Place of Play 0% 20% 40% 60% 80% 80% 60% 40% 20% 0%

Public facility 63% 67% 58% 46% Public facility School 28% 23% 27% 32% School Private/commercial 5% 1% 9% 3% College/university Private non-profit 1% 6% 4% 11% Private/commercial Other 0% 3% 1% 8% Private non-profit College/university 2% 1% 1% Other

• Play at private/commercial facilities increased for all income groups while play at public facilities decreased.

• Participation at school increased for higher-income households and decreased for mid-to-low- income households.

Media Use Respondents were asked how often each 6-17 year-old child in their household used several social media platforms (regularly, occasionally, never, not sure). The “overall results” below are based on the following:

• None – does not use any social media platform • High – uses 3 or more platforms regularly • Medium – uses between 1-2 platforms regularly • Low – all other usage

Overall Social Media Use Among LA County Youth 100%

90% 20% 31% 80%

70%

60% 35% High

50% 33% Medium Low 40% 21% None 30% 17% 20% *results rebased to remove the ~4% of respondents who selected % of youth regularly using platformregularlyofusing youth% 24% 10% 18% “Don’t know” as an option 0% 2016 2018

Frequency of Social Media Usage* Among LA County Youth 100% 90% 27% 80% 56% 70% 60% 64% 60% 74% Never 27% 86% 50% Occasionally 40% % of youth % Regularly 18% 16% 30% 16% 46% 20% 14% 26% 10% 24% 21% 8% 13% 0% 6% Youtube Instagram Snapchat Facebook Twitter Other

Social Media Usage 2016 v 2018: % of Youth Regularly Using Social Media

60% 2016 2018

50%

40%

30% 50% 46% 20% 38% 34% 26% 27% 24% 26% 10% 21% 13%

% of youth regularly using platformregularlyofusing youth% 6% 6% 0% Youtube Instagram Snapchat Facebook Twitter Other

Social Media Usage 2016 v 2018: % of Youth Occasionally Using Social Media 30% 2016 2018

25%

20%

15% 27% 27% 22% 23% 10% 20% 18% 19% 16% 16% 14% 5% 8%

6% % of youth regularly using platformregularlyofusing youth% 0% Youtube Instagram Snapchat Facebook Twitter Other

Social Media Usage 2016 v 2018: % of Youth Never Using Social Media

100% 2016 2018 90% 80% 70% 60% 50% 88% 40% 86% 74% 64% 30% 60% 56% 55% 50% 20% 41% 44% 27%

10% 23% % of youth regularly using platformregularlyofusing youth% 0% Twitter Facebook Snapchat Instagram Youtube Other

Frequency of Website/Publication Usage Among LA County Youth

Regularly Occasionally Never

% of youth 0% 20% 40% 60% 80% 100%

ESPN (website/magazine) 15% 21% 64% Pro league website 12% 19% 69% FoxSports.com 11% 19% 69% Sports Illustrated (website/magazine) 11% 16% 73% Individual athlete's website 11% 21% 69% General news publications 10% 20% 70% NBCSports.com 9% 20% 71% Association website/magazine 9% 16% 75% Other 3% 8% 88%

Websites/Publications 2016 v 2018: % of Youth Regularly Using Websites 0% 10% 20% 30% 40%

30% ESPN (website/magazine) 15% 20% Pro league website 12% 21% FoxSports.com 11% 19% Sports Illustrated (website/magazine) 11% 2016 16% Individual athlete's website 11% 2018 19% General news publications 10% 16% Association website/magazine 9% 15% NBCSports.com 9% Other 4% 3%

Websites/Publications 2016 v 2018: % of Youth Occasionally Using Websites

0% 5% 10% 15% 20% 25% 30% 22% ESPN (website/magazine) 21% 27% Individual athlete's website 21% 27% NBCSports.com 20% 24% 2016 General news publications 20% 27%2018 Pro league website 19% 27% FoxSports.com 19% 25% Sports Illustrated (website/magazine) 16% 24% Association website/magazine (e.g. USA Football) 16% Other 4% 8%

Websites/Publications 2016 v 2018: % of Youth Never Using Websites

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 93% Other 88% 60% Association website/magazine (e.g. USA Football) 75% 57% Sports Illustrated (website/magazine) 73% 58% 2016 NBCSports.com 71% 2018 57% General news publications (e.g. sports section of LA Times) 70% 52% FoxSports.com 69% 53% Pro league website (e.g. NBA.com) 69% 57% Individual athlete's website 69% ESPN (website/magazine) 47% 64%

P.E./Physical Activity Classes Results are rebased to remove the 3% of households in both 2016 & 2018 who responded “not sure” with regard to their children’s P.E. class enrollment status.

% of LA County Youth Enrolled in P.E. Classes (by Age, Gender)

2016 2018

100% 92% 93% 93% 88% 88% 88% 87% 90% 84% 85% 79% 81% 80% 77% 69% 70% 65% 60% 50% 40% 30% 20% 10% 0% Total Male Female 6~8 9~11 12~14 15~17 Gender Age

% of LA County Youth Enrolled in P.E. Classes (by Race/Ethnicity)

2016 2018

100% 93% 94% 88% 90% 84% 81% 81% 79% 80% 78% 78% 80% 70% 60% 50% 40% 30% 20% 10% 0% Total White Hispanic/Latino Black/African-American Asian/Pacific Islander Race/Ethnicity

• Enrollment in P.E. classes has declined in the last two years, with Hispanic/Latino and Black/African-American households seeing the biggest decline among race/ethnic groups.

% of LA County Youth Enrolled in P.E. Classes (by Youth Inactivity, Household Income)

2016 2018 100% 90% 93% 88% 90% 87% 90% 85% 81% 80% 79% 79% 77% 79% 79% 80% 70% 66% 60% 50% 40% 30% 20% 10% 0% Total Inactive Active <$35k $35-$74k $75k-$149k $150k or more Youth Inactivity Household Income

% of LA County Youth Enrolled in P.E. Classes (by Region)

2016 2018 100% 92% 91% 88% 89% 87% 90% 85% 83% 79% 78% 80% 78% 80% 77%

70%

60%

50%

40%

30%

20%

10%

0% Total North South East West Metro Region

Average Days of PE Class per week among LA County Youth (those enrolled)

4.5 4.2 4.2 4.0 3.7 3.8 3.7 3.4 3.5 3.1 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Male Female 6~8 9~11 12~14 15~17 Total Gender Age

Special Needs Children

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

0% 2% 4% 6% 8% 10% 12% 14%

10% Total

Total 6%

12% Male 8%

Gender 7% Female 5%

2016 6% 6~8 7% 2018

12% 9~11

6% Age 9% 12~14 8%

11% 15~17 4%

Type of Disability/Disabilities Among LA County Youth (those with disabilities) 0.7 60% 0.6 49% 0.5 46% 45% 47% 40% 0.4 37% 36% Physical 34% 32% 33% 34% 30% 31% 29% 30% 30% 27% 27% 29% 0.3 23% 24% Intellectual 20% 21% 21% 15% Emotional 0.2 14% 12% 0.1 Other

% of youth with disabilities with youth of % 0 Total Male Female 6~8 9~11 12~14 15~17 Total Gender Age Household Adults: Physical Fitness Status

Physical Activity Frequency Among LA County Parents of Youth 6-17 yrs

Regularly Occasionally Never

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

2016 50% 40% 10%

2018 43% 49% 8%

Physical Activity Frequency Among LA County Parents of Youth 6-17 yrs Regularly Occasionally Never % of adults 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Total 43% 49% 8% North 49% 41% 9% South 36% 57% 7% East 37% 53% 10%

Region West 49% 41% 10% Metro 49% 48% 2% White 55% 39% 6% Hispanic/Latino 37% 55% 7% Black/African-American 36% 50% 14%

Asian/Pacific Islander 43% 46% 11% Race/Ethnicity <$35k 26% 61% 13% $35-$74k 38% 54% 9%

$75k-$149k 54% 41% 5% Income

Household $150k or more 59% 34% 7%

• Parents from affluent households are 2X more likely to take part in physical activity regularly.

Adults Regularly Participating in Physical Activity/Sports: 2016 v 2018 % of regularly active adults 0% 20% 40% 60% 80%

50% Total 43% 57% White 55% 47% Hispanic 37% 39% Black 36% 34% Race/Ethnicity Asian/Pacific Islander 43% 36% <$35k 26% 2016 48% $35-$74k 38% $75k-$149k 56% 2018 Income 54% Household 66% $150k or more 59% 45% North 49% 60% South 36% 45% East 37%

Region 53% West 49% 56% Metro 49%

Adults Occasionally Participating in Physical Activity/Sports: 2016 v 2018

% of occasionally active adults 0% 10% 20% 30% 40% 50% 60% 70%

40% Total 49% 36% White 39% 41% Hispanic 55% 50% Black 50% 40% Race/Ethnicity Asian/Pacific Islander 46% 2016 51% <$35k 61% 45% 2018 $35-$74k 54% $75k-$149k 39%

Income 41% Household 30% $150k or more 34% 45% North 41% 30% South 57% 40% East 53%

Region 39% West 41% 43% Metro 48%

Adults Never Participating in Physical Activity/Sports: 2016 v 2018

% of inactive adults 0% 5% 10% 15% 20% 25% 30%

10% Total 8% White 7% 6% 11% Hispanic 7% 11% Black 14% Asian/Pacific Islander 25% Race/Ethnicity 11% 2016 <$35k 13% 13% 2018 8% $35-$74k 9% 5%

$75k-$149k 5% Income

Household 4% $150k or more 7% 10% North 9% 10% South 7% 15% East 10%

Region 8% West 10% 1% Metro 2%

Inequity For the 2018 survey, a question was added with statements that respondents were asked to state their agreement. These statements were centered around the accessibility and cost of sports for youth in Los Angeles. Heat maps are relative to each group (i.e. Age, Gender) LA County Youth Sports - Statement Agreement (1- Strongly Disagree; 5- Strongly Agree) Total Gender Age Age/Gender

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

I wish more sports were available at 3.77 3.77 3.76 4.00 3.83 3.74 3.47 3.90 3.80 3.46 3.93 3.69 3.48 my child or children's school(s).

Youth sports in Los Angeles County 3.37 3.36 3.38 3.32 3.42 3.35 3.39 3.35 3.36 3.36 3.39 3.33 3.42 are too expensive

Youth sports in Los Angeles County are becoming too specialized at an 3.06 3.10 3.03 3.05 2.96 3.13 3.11 3.05 3.20 3.09 2.96 3.05 3.13 early age.

It is difficult to get into sports 2.75 2.80 2.70 2.84 2.76 2.67 2.73 2.87 2.78 2.66 2.73 2.54 2.80 programs in Los Angeles County.

Youth sports take too much time 2.69 2.70 2.68 2.71 2.70 2.76 2.60 2.71 2.82 2.55 2.69 2.70 2.64

It is difficult to find places to play 2.59 2.61 2.56 2.68 2.51 2.63 2.53 2.65 2.70 2.44 2.54 2.55 2.62 sports in Los Angeles County.

• A need for more sport options available at school scored the highest level of agreement among respondents. Households with younger children had greater averages than mid-to-teenage children.

• The most disagreed-with statement is it is difficult to find places to play sports in LA County.

Scale: 1-Strongly Disagree; 2-Disagree; 3-Undecided; 4-Agree; 5-Strongly Agree

LA County Youth Sports - Statement Agreement (1- Strongly Disagree; 5- Strongly Agree) Parent Phys. Total Region Race/Ethnicity Activity

Occ/Non- Active Hispanic/ Asian/Pacific Total Active North South East West Metro White Black Other Parents Latino Islander Parents

I wish more sports were available at my child or 3.77 3.79 3.74 3.83 3.84 3.60 3.64 4.06 3.71 3.79 3.93 3.59 3.84 children's school(s).

Youth sports in Los Angeles 3.37 3.24 3.46 3.31 3.21 3.50 3.46 3.31 3.37 3.37 3.30 3.39 3.56 County are too expensive

Youth sports in Los Angeles County are becoming too 3.06 3.12 3.02 3.07 3.02 2.92 3.24 3.27 3.33 2.80 3.10 3.39 3.32 specialized at an early age.

It is difficult to get into sports programs in Los 2.75 2.68 2.80 2.60 2.80 2.71 2.83 3.00 2.78 2.73 2.67 2.75 3.08 Angeles County.

Youth sports take too much 2.69 2.72 2.67 2.45 2.49 2.89 2.86 2.83 2.83 2.58 2.48 3.15 2.49 time

It is difficult to find places to play sports in Los Angeles 2.59 2.50 2.65 2.37 2.69 2.59 2.53 2.96 2.59 2.59 2.40 2.80 2.60 County.

Heat maps are relative to each group (i.e. Age, Gender) Scale: 1-Strongly Disagree; 2-Disagree; 3-Undecided; 4-Agree; 5-Strongly Agree

• Interestingly, residents of the Metro region of LA County showed the greatest agreement with wishing for more sports at their child’s school.

• White and Asian/Pacific Islander households showed the most concern about youth sports specialization.

• Households with active parents showed slightly less agreement than occasional/non-active parents that youth sports in LA are too expensive.

• There is a clear demand for more sports to be available at schools, especially among: o The Metro area o Black/African-American households o Lower-income households

• Finding places to play sports in LA county does not appear to be a major issue. However: o 34% of Metro residents showed some form of agreement that it is a problem, the highest among the 5 regions; conversely, nearly 66% of household in the North region disagreed.

o The option selected most by households with income <$35k was “undecided.”

LA County Youth Sports - Statement Agreement (1- Strongly Disagree; 5- Strongly Agree) Total Household Income Inactivity $75k- Total <$35k $35k-$74k $150k+ Inactive Active $149k I wish more sports were available at my 3.77 4.02 3.87 3.61 3.47 3.75 3.77 child or children's school(s). Youth sports in Los Angeles County are too 3.37 3.54 3.39 3.24 3.33 3.44 3.36 expensive Youth sports in Los Angeles County are 3.06 2.99 2.97 3.13 3.23 3.02 3.07 becoming too specialized at an early age. It is difficult to get into sports programs in 2.75 2.95 2.78 2.61 2.65 2.85 2.72 Los Angeles County. Youth sports take too much time 2.69 2.70 2.58 2.70 2.92 2.94 2.65 It is difficult to find places to play sports in 2.59 2.73 2.61 2.45 2.64 2.85 2.55 Los Angeles County. Scale: 1-Strongly Disagree; 2-Disagree; 3-Undecided; 4-Agree; 5-Strongly Agree Heat maps are relative to each group (i.e. Age, Gender)

• Results showed that as household income goes up, the less they agree that they wish more sports are available at school. Predictably, high-income households are also disagree more that youth sports in LA are too expensive.

• Higher-income households agree relatively more that sports specialization is a concern and that youth sports take up too much time

Household Profile

Youth - Gender Youth - Age 2016 2018 Male Female 29% 30% 26% 25% 25% 25% 24% 24% 0% 50% 100% 22% 20% 2016 54% 46% 10%

2018 51% 49% 0% 6~8 9~11 12~14 15~17

Average Age: 11.5 years (11 yrs in 2016) Parent - Age Parent - Gender 100% 3% 7% 90% 17% Male Female 80% 19% 55+ 70% 100% 80% 60% 40% 20% 0% 60% 37% 45~54 50% 43% 35~44 40% 55% 45% 2016 30% 36% 25~34 20% 29% 10% 24 or under 67% 33% 2018 0% 7% 2% 2016 2018

Parent - Education Level Income

% of parents completing survey 100% 0% 20% 40% 10% 14% 90% Grade school or less 0% 1% 80% $150k+ 3% 70% 39% 31% Some high school 5% $75k-$149k 14% 60% $35k-$74k High school graduate 18% 50% 24% <$35K Some college, no degree 21% 2016 40% 32% 32% 8% 2018 Associate degree - occupational/vocational program 11% 30% 4% 20% Associate degree - academic program 4% 10% 19% 23% Bachelor's degree 29% 24% 0% 18% 2016 2018 Post-Graduate degree 16%

Average household income: $82,700 ($83,702 in 2016)

Household - Region Household - Race/Ethnicity 40% 30% 20% 10% 0% 0% 20% 40% 60% 31% East 48% Hispanic/Latino 30% 47% 26% 32% North White 26% 29% 2016 20% 12% South Black/African-American 19% 12% 2018 13% 6% West Asian/Pacific Islander 14% 10% 11% 1% Metro Other 12% 2%

Income by Region - North Income by Region - South 100% 100% 12% 9% 7% 15% 21% 80% 80% 35% 34% $150k+ 40% 60% 60% $150k+ 33% $75k-$149k $75k-$149k 40% 26% 40% 37% $35k-$74k

31% $35k-$74k <$35K 20% 20% 38% <$35K 28% 21% 15% 0% 0% 2016 2018 2016 2018 Avg Income Avg Income 2016: $77,888 2016: $81,564 2018: $90,223 2018: $64,891

Income by Region - East Income by Region - West 100% 6% 14% 100% 19% 23% 80% 33% 27% 80% $150k+ 60% $150k+ $75k-$149k 60% 44% 32% $75k-$149k 40% 40% 37% $35k-$74k 40% 25% $35k-$74k 20% <$35K 25% <$35K 21% 22% 20% 21% 0% 12% 0% 2016 2018 Avg Income Avg Income 2016: $72,144 2016 2018 2016: $102,789 2018: $83,215 2018: $96,812

Income by Region - Metro 100% 17% 11% 80% 39% 60% 68% 40% 31% 20% 10% 19% 5% 0% Avg Income 2016 2018 2016: $111,620 2018: $84,108

Background & Methodology

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 LA84 Foundation again enlisted SMS USA in mid-2018 to replicate its survey to produce updated results & trends. New questions were added to the questionnaire to obtain insights on how youth sports participation in Los Angeles is affected by socioeconomic inequity. A key objective of this research’s second iteration is to identify perceptions towards the 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 survey required additional sampling to better reflect the proportion of Black/African-American households in LA County. In addition to the region quotas above, the 2018 sample also included an additional boost.

▪ Interviews were completed only with households with children age 6-17

▪ Regions of LA County were set according to their Service Planning Area (SPA):

Los Angeles County

Region SPA

North 1,2

South 6, 8 (part)

East 3, 7

West 5, 8 (part)

Metro 4

▪ Original target screened household interviews: 755

– Total households with kids 6-17: 703

– Total kids aged 6 to 17: 1,095

– Total Hispanic/Latino households with kids: 188

– Total Hispanic/Latino kids aged 6 to 17: 297

– Total household interviews in Spanish (with kids): 18 completes

▪ Throughout the analysis, a weighting technique was used in order for the data to better represent the Los Angeles County Population of 10,272,648 people (2017 estimate — Los Angeles County Department of Health). http://publichealth.lacounty.gov/epi/docs/2017-LAC- Population.pdf

▪ Projected participants for each sport were derived from Claritas census estimates for 2017; visit http://www.nielsen.com/content/dam/nielsen/en_us/documents/pdf/Fact%20Sheets%20II/Nie lsen%20Demographic%20Data%20Overview.pdf for more information.

▪ National sport participation rate comparisons are sourced from the Physical Activity Council, the nation’s definitive source for sports participation data. Visit http://www.physicalactivitycouncil.com/ for more information.

Survey Sample – Weighted Profile Counts and % of Children 2016 2018 Count Percent Count % North 246 26% 280 26% South 188 19% 206 19% Region East 295 31% 332 30% West 121 13% 149 14% Metro 107 11% 128 12% Total 957 100% 1,095 100% 6-8 years 273 28% 278 25% 9-11 years 245 26% 277 25% Age 12-14 years 211 22% 276 25% 15-17 years 228 24% 264 24% Total 957 100% 1,095 100% Hispanic/Latino 462 49% 513 47% White 307 32% 318 29% Black/African-American 118 12% 133 12% Race/Ethnicity Asian/Pacific Islander 58 6% 109 10% Other 12 1% 22 2% Total 957 100% 1,095 100%

Sampling Methodology – Survey Sampling International ▪ 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 Survey Sampling International.

▪ 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 1,095 children, there is an average confidence interval of plus or minus 2.96 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 27.04% and 32.96%

About Survey Sampling International

▪ For this study we used Survey Sampling International (SSI), a world leader in sample creation and provision. They provide samples for over 2,500 clients each year.

▪ Proprietary Panel: SSI panels are composed of sources that are over 90% proprietary, which means they’re constantly protecting, growing, and optimizing them. They actively manage and look to improve the respondent experience to have more loyal and engaged panel members.

▪ High Quality: SSI sample has been cited for the highest level of consistency and quality in more markets around the world than anyone else, as shown in the Grand Mean™ Project, the world’s largest independent assessment of online sampling.

▪ SSI’s sampling processes have been successfully audited every year since 1998 by Ernst & Young. The audits are performed as part of the annual Media Ratings Council audit of syndicated ratings produced by Arbitron Inc. and Scarborough Research.

▪ SSI adheres to ESOMAR standards.

▪ Survey quality control methods include digital fingerprinting, identifying “speedsters,” “straightliners,” geo-location, and reward claim authentication.

Any use of the information in this report without the written permission of the LA84 Foundation is strictly prohibited.

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: The LA84 Foundation is a nationally recognized leader in support of youth sport programs and public education and advocates for the important role sports participation plays in positive youth development. Created with a share of the 1984 Olympic Games surplus, LA84 began operations in

1985 as a grant making and educational foundation. The foundation supports hundreds of non-profit youth sports organizations 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

About Sports Marketing Surveys: Since 1985, Sports Marketing Surveys had led the way in being the informed, experienced and uniquely positioned source to assist with custom research projects in the sports industry. Sports Marketing Surveys conducts quantitative and qualitative market research and information for many of the leading sports organizations, including governing bodies, trade associations, manufacturers,

retailers and more.

2141 W Adams Blvd 6650 West Indiantown Road, Suite 220 Los Angeles, CA 90019 Jupiter, FL 33458 p: 323.730.4600 p: 561.427.0647 www.la84.org www.sportsmarketingsurveysusa.com