Active Adult Community Market size was valued at USD 23.9 billion in 2022 and is expected to reach a value of USD 44.6billion in 2034 and register a revenue CAGR of 7.2% during the forecast period.

The Active Adult Community Market is projected to reach a value of $35.76 billion by 2033, exhibiting a CAGR of 9.36% during the forecast period of 2025-2033. The market is driven by the increasing population of seniors, coupled with the rising demand for independent and assisted living communities. Additionally, the growing trend of urbanization and the increasing disposable income of seniors are contributing to the market growth. Key market trends include the increasing demand for amenities such as fitness centers, swimming pools, clubhouses, and golf courses, as well as the growing popularity of continuing care retirement communities (CCRCs). Furthermore, the expansion of the market into suburban and rural areas is expected to drive growth. The major players in the market include Merrill Gardens, Lennar Corp, K. Hovnanian Homes, Del Webb, and Robson Communities, among others. Recent developments include: , The rising demand for age-restricted housing, increasing life expectancy, and growing disposable income among seniors are key factors driving market growth., Technological advancements such as smart home features and telehealth services are also contributing to the market's expansion., Recent news developments include the launch of new active adult communities by major real estate developers and the growing popularity of co-living and rental options for seniors., Active Adult Community Market Segmentation Insights, Active Adult Community Market Age Group Outlook. Key drivers for this market are: Growing demand for age-friendly housing Expanding healthcare services tailored to seniors Rising disposable income among older adults Increasing government support for active aging Technological advancements Enhancing accessibility and convenience. Potential restraints include: Aging population, increasing life expectancy; demand for senior-friendly housing; rising healthcare costs; and government support.

The Active Adult Community report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic insights into capital flows and market shifts, guiding investors toward growth opportunities in key industry segments and regions.

This is the estimated percentage of adults aged 16 and over in the local area taking part in sport and physical activity at least twice in the last month. This is measured as the equivalent of 30 minutes or more activity at least twice in the last 28 days. Each session must last at least 10 minutes and be of at least moderate intensity. An individual can reach the minimum threshold by a combination of two 30-minutes sessions across the last 28 days or by six 10-minute sessions, for example. This is measured for all activities including sports, fitness, dance, cycling and walking (including for travel). Activities done by those aged 65 and over were assumed to be at least moderate in all cases. Moderate activity is defined as where you raise your heart rate and feel a little out of breath. Vigorous activity is where you are breathing hard and fast and your heart rate has increased significantly (you will not be able to say more than a few words without pausing for breath). When making comparisons between figures, some differences seen may not be significant differences and so a degree of caution should be made before making conclusions. The survey was adapted during the COVID-19 pandemic. The survey sample is randomly selected from the Royal Mail’s Postal Address File ensuring a very high coverage of private residential addresses. The target sample size for each English local authority (excluding the City of London and Isles of Scilly) is 500 returns. Data may be suppressed for an area where the threshold of 30 is not reached. Population totals are created using Office for National Statistics (ONS) mid-year population estimates. Data is sourced from the adult Active Lives November to November survey.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

This is the estimated percentage of adults aged 16 and over in the local area who are inactive. These estimates include the activities of walking, cycling, dance, fitness and sporting activities, but exclude gardening which is outside of Sport England's remit. Office for Health Improvement and Disparities (OHID) publish physical activity data for adults aged 19+ that includes gardening. Activity is counted in moderate intensity equivalent minutes whereby each 'moderate' minute counts as one minute and each 'vigorous' minute counts as two moderate minutes. Depending on the number of minutes of moderate intensity equivalent (MIE) physical activity, people are described as being:

Inactive - Doing less than 30 minutes a week Fairly Active - Doing 30-149 minutes a week Active - Doing at least 150 minutes a week

Moderate activity is defined as where you raise your heart rate and feel a little out of breath. Vigorous activity is where you are breathing hard and fast and your heart rate has increased significantly (you will not be able to say more than a few words without pausing for breath). When making comparisons between figures, some differences seen may not be significant differences and so a degree of caution should be made before making conclusions. The survey was adapted during the COVID-19 pandemic. The survey sample is randomly selected from the Royal Mail’s Postal Address File ensuring a very high coverage of private residential addresses. The target sample size for each English local authority (excluding the City of London and Isles of Scilly) is 500 returns. Data may be suppressed for an area where the threshold of 30 is not reached. Population totals are created using Office for National Statistics (ONS) mid-year population estimates. Data is sourced from the adult Active Lives November to November survey.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Sponsored by the Robert Wood Johnson Foundation, the Active for Life (AFL) initiative investigated how two physical activity programs for adults aged 50 and older, Active Choices (AC) and Active Living Every Day (ALED), worked in community settings. Created by researchers at Stanford University, Active Choices used lifestyle counseling and personalized telephone support to encourage older adults to be physically active. In AFL, this was a 6-month program delivered through one face-to-face meeting followed by up to eight one-on-one telephone counseling calls. Active Living Every Day, which was created by the Cooper Institute and Human Kinetics Inc., also provided lifestyle counseling to promote physical activity, but in a classroom and workbook format. During the first three years of the four-year AFL initiative, ALED was delivered as a 20-week program where participants attended weekly small group meetings, but in the last year it was shortened to 12 weekly meetings. Nine organizations received AFL grants to implement the programs during 2003-2006. Four grantees implemented the one-on-one AC model, while five implemented the group-based ALED model. Data were collected from the AC and ALED sites for both a process and outcomes evaluation. The primary aims of the process evaluation were to (1) monitor the extent to which the grantees demonstrated fidelity to the AC and ALED models in their program implementation, (2) assess staff experiences implementing the programs, and (3) assess participants' impressions of the programs. A quasi-experimental, pre-post study design was used to assess outcomes. Primary aims of the outcomes evaluation were to evaluate the impact of AC and ALED on self-reported physical activity, and to evaluate the impact of the programs on self-reported stress, depressive symptoms, and satisfaction with body function and appearance. Secondary aims of the outcome evaluation were to (1) evaluate the impact of the programs on measures of functional fitness, (2) examine whether changes in self-reported physical activity and functional fitness were moderated by participant characteristics, including age, gender, race, baseline physical activity self-efficacy, and baseline physical activity social support, and (3) examine whether changes in self-reported physical activity were consistent with a mediation model for physical activity self-efficacy and physical activity social support. The collection has 14 data files (datasets). Datasets 1-7 constitute the process evaluation data, and Datasets 8-14 the outcomes evaluation data: Dataset 1 (AC Initial Face-to-Face Sessions Data) contains information about the initial face-to-face AC session: the format, date, and length of the session, whether the 8 steps required in the face-to-face session were completed, what was discussed between the health educator and the participant related to physical activity plans, interests, benefits, and barriers, and the health educator's progress notes. The file contains one record for each AC participant. Dataset 2 (AC Completed Calls Data) comprises information about the completed AC calls, but does not cover the topics discussed on the calls. Recorded information about each call includes the date and length of the call, the health educator's progress notes, and whether the participant was assessed for injury, light activity, moderate activity, exercise goals, or exercise intentions. Each call is represented by a separate record in the data file and, typically, there are multiple records per participant. Dataset 3 (AC Topics Discussed on Completed Calls ) contains information about the topics discussed on each completed AC call, e.g., exercise barriers/benefits, previous exercise experiences, goal setting, long term goals, injury prevention, rewards/reinforcement, social support, progress tracking, and relapse prevention. Each record in the file represents one topic and there are often multiple records per call for each participant. Dataset 4 (AC Aggregate Call Data) aggregates the call data across calls for each AC participant. For example, for a given participant, this dataset shows the total number of calls completed, the number of calls where injury/health problems were assessed, etc. The file contains one record per participant. Dataset 5 (ALED Sessions Data) contains information about each class session for e

Large scale survey of the adult population in Wales using CAPI. Replaced by National Survey for Wales Dataset (NSWD).

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. This table displays the percentage of adults meeting Aerobic Physical Activity guidelines in California. It contains data for California only. The data are from the California Behavioral Risk Factor Surveillance Survey (BRFSS). The California BRFSS is an annual cross-sectional health-related telephone survey that collects data about California residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. The BRFSS is conducted by the Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. The column percentages are weighted to the 2010 California Department of Finance (DOF) population statistics. Population estimates were obtained from the CA DOF for age, race/ethnicity, and sex. Values may therefore differ from what has been published in the national BRFSS data tables by the Centers for Disease Control and Prevention (CDC) or other federal agencies.

Number and percentage of adults being moderately active or active during leisure time, by age group and sex.

The Texas Active Adults (55+) Community Market size was valued at USD 30.7 billion in 2023 and is projected to reach USD 41.56 billion by 2032, exhibiting a CAGR of 4.42 % during the forecasts period. The Texas Active Adults (55+) Community Market is a research report that identifies active adult communities within the state of Texas that focuses on providing convenient rental and sale homes for the 55+ age bracket that caters to an active lifestyle by featuring condominiums equipped with extra amenities that caters for seniors. This comprises residential units including single, multiple, and townhouse rentals as well as amenities that include playing fields, gymnasiums, and other clubs and facilities that may include health care services. Recent key trends evident in multi-family buildings are wellness programs, sustainable living, and the adoption of advanced technology for safety and convenience. The following are some of the factors driving demand: Early Baby boomers are aging, and they are looking for active, beautiful, and low-maintenance communities that offer opportunities for socialization as well as engagement in various activities and easy access to urban areas and natural landmarks in Texas.

In 2021, it was estimated that around 1,214,000 men were living with active epilepsy. Epilepsy is a brain disorder that causes recurring seizures and can lead to life-long disability. This statistic displays the number of adults with active epilepsy in the U.S. as of 2021, by gender.

The Active Lives Survey (ALS) commenced in November 2015. It replaces the Active People Survey, which ran from 2005 to 2015. The survey provides the largest sample size ever established for a sport and recreation survey and allows levels of detailed analysis previously unavailable. It identifies how participation varies from place to place, across different sports, and between different groups in the population. The survey also measures levels of activity (active, fairly active and inactive), the proportion of the adult population that volunteer in sports on a weekly basis, club membership, sports spectating and wellbeing measures such as happiness and anxiety, etc. The questionnaire was designed to enable analysis of the findings by a broad range of demographic information, such as gender, social class, ethnicity, household structure, age, and disability.

The Coronavirus (COVID-19) pandemic developed rapidly during 2020 and 2021. Fieldwork for the Active Lives survey continued throughout the pandemic, which covered periods Nov 2019-20 and Nov 2020-21. The data from Nov 2021-22 onwards covers periods without any coronavirus restrictions.

More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

Data Formats
Users should note that the Active Lives data are deposited in SPSS format. The UKDS also provides the data in Stata and tab-delimited formats, but due to the differing nature of the SPSS and Stata software packages and the structure of the Active Lives data, Stata users may experience some issues with labels or variable formats. We therefore recommend that users analyse the data in SPSS where possible.

Active Lives Adults Survey, 2020-2021

The Coronavirus (COVID-19) pandemic developed rapidly during 2020 and 2021. Fieldwork for the Active Lives survey continued throughout the pandemic. This data, therefore, reflects the impact of coronavirus (COVID-19) on activity levels and the government’s policies to contain its spread. The survey instrument was largely unchanged. More general information about the study can be found on the Sport England Active People Survey and Active Lives Survey webpages and Active Lives Online website.

Latest edition information

For the second edition (February 2025), the data file was resupplied, with an updated County Sports Partnership variable (CSP_2025), an updated inequalities metric variable (equalities_metric_2024_GR4), and new cultural activities variables (library visits, arts participation/visits, frequency) included.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). The current Physical Activity Guidelines for Americans is issued by the US Department of Health and Human Services. To meet physical activity guidelines, adults must meet aerobic physical activity guidelines (vigorous activity for at least 75 minutes a week, or moderate activity for at least 150 minutes a week, or a combination of vigorous and moderate activity for at least 150 minutes a week) and muscle-strengthening physical activity guidelines (exercise all major muscle groups on 2 or more days a week).Physical inactivity contributes to our current obesity epidemic and is a major risk factor for heart disease, diabetes, cancer, and many other chronic health conditions. It can be difficult for people to be physically active if their communities do not have available and safe places for recreation.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Some racial and ethnic categories are suppressed for privacy and to avoid misleading estimates when the relative standard error exceeds 30% or the unweighted sample size is less than 50 respondents.

Data Source: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey (BRFSS) Data

Why This Matters

Physical activity offers both immediate and long-term health benefits. In the short term, it can improve sleep quality, reduce anxiety, and lower blood pressure. Over the long term, it helps reduce the risk of dementia, depression, heart disease, and cancer.

Physical activity is especially important for older adults as it can help them live independently longer while also improving bone health and reducing the risk of falls through better balance and coordination.

Nationally, Hispanic and Black adults have the highest rates of physical inactivity, increasing their associated health risks. Factors like busy schedules, limited resources, and the physical environment play an important role and are tied to segregation and racial inequities.

The District Response

The Department of Parks and Recreation (DPR) operates fitness centers that are free for DC residents. DPR also offers adult health and wellness classes including strength & conditioning, yoga, cardio dancing, and spinning.The MoveDC Plan promotes active transportation in the District through better pedestrian and bicycle infrastructure. Just 30 minutes of walking – a 15-minute commute each way – is enough to reduce the risk of diabetes and high blood pressure.

All DC Public School students take health and physician education (PE) classes to help them build healthy exercise habits that can last through adulthood.

% of physically active and inactive adults - active adults.

The provider of data for this indicator is Public Health England based on Active Lives (self-report survey) and Sport England.

This indicator measures the number of respondents aged 19 and over, with valid responses to questions on physical activity, doing at least 150 moderate intensity equivalent (MIE) minutes physical activity per week in bouts of 10 minutes or more in the previous 28 days expressed as a percentage of the total number of respondents aged 19 and over.

*This indicator has been discontinued

To understand the effects of barriers and facilitators of physical activity (PA) in older adults, U.S. participants (N = 667, age range 65-92) were surveyed using online research panels. The importance of fear of falling (FoF) was investigated among other previously identified determinants of PA behaviour.

We hypothesised gender and health status to be linked to both threat appraisal (perceived vulnerability and severity) and coping appraisal (self-efficacy and response efficacy) constructs of Protection Motivation Theory. In turn, we expected those components to predict FoF, autonomous motivation, and the intention to be physically active. Further, we expected the latter to be a direct predictor of a change in PA behaviour, with the other constructs being indirect predictors of behaviour.

Of the present sample, 19.3% indicated high FoF. Higher perceived vulnerability to falling was related to higher FoF and more perceived severity as well as worse physical health, PA-related self-efficacy, and lower PA-related response efficacy. Further, coping appraisal, intention, and PA behaviour significantly correlated with autonomous motivation to engage in PA. Using structural equation modelling, we found that self-efficacy and response efficacy have a stronger predictive role in older adults’ intention than FoF.

The following measures were utilised: • Physical activity - Physical Activity Scale for the Elderly (PASE; Washburn et al., 1993). • Intention - ‘It is likely that I will be regularly physically active.’, ‘I intend to be regularly physically active.’, and ‘I expect to be regularly physically active.’ (Ajzen, 1991; Arnautovska et al., 2017). • Autonomous Motivation - Self-Regulation Questionnaire (Ryan & Connell, 1989). Results were scored in accordance with the Relative Autonomy Index (RAI). • Fear of Falling - Short Falls Efficacy Scale – International (FES-Ia) was used (Kempen et al., 2007). Full scores were utilised in addition to three distinct FoF groups based on cut-off points by Delbaere et al. (2010). • Perceived Severity - ‘Experiencing a fall would be a very bad thing to happen to me’, adapted from Plotnikoff and Higginbotham (2002). • Perceived Vulnerability - ‘My chances of falling are small’, adapted from Plotnikoff and Higginbotham (2002). • Self-Efficacy - Nine items with an 11-point Likert-type rating scale based on Resnick et al. (2000). • Response Efficacy - Four items adapted for falling from Plotnikoff and Higginbotham (2002). • Physical Health Status: Physical Component Summary scale (PCS) of the 12-item Short Form Health Survey (Ware et al., 1996).

To set a price on the value of social inclusion is difficult. Mobility is understood as one of the major prerequisites for social inclusion. For this project, for scenario 1, we investigate off-the-shelf wearable technologies that we hypothesise enable a sense of autonomy and feeling of safety. After a scan of technologies, we will compare Fitbit charge 2 and Garmin vivosmart HR+ for robustness. Both include Fitness/step tracker, Sleep monitor, Heart monitor, Floors climbed and a GPS/Accelerometer. For scenario 2, we collaborate with technology from QUT Computer Human Interaction Lab.The Messaging Kettle: Prototyping Connection over a Distance * for remote awareness, is a Wi-Fi enabled kettle paired with the same set up at a family members home. When a kettle is in use, it lights up at the other pair's home and allows lo-fi messaging between each home, ensuring each home is kept aware of activity. The objective of the overall study is to enable autonomy with mobility and to foster social interaction by providing assistive navigation/activity/at home support to facilitate independence through mobility and/or knowing that others are aware of your activity. Participants do not fulfil specific tasks (exercises, be more active), the study observes changes the assistive technology may enable . We investigate what role assistive technologies can play in facilitating avenues of activity and social inclusion for elders? (e.g. GPS ensures family can find them if they get lost, heart rate means they can see if they are doing too much etc.) Comparatively we investigate what role an awareness technology can play in facilitating feeling safe as an avenues towards social inclusion for elders in their everyday lives? *Aloha Hufana Ambe, Margot Brereton, Alessandro Soro, and Paul Roe. 2017. \Technology Individuation: The Foibles of Augmented Everyday Objects.\ In Proc. 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA.

This dataset is from the 2013 California Dietary Practices Survey of Adults. This survey has been discontinued. Adults were asked a series of eight questions about their physical activity practices in the last month. These questions were borrowed from the Behavior Risk Factor Surveillance System. Data displayed in this table represent California adults who met the aerobic recommendation for physical activity, as defined by the 2008 U.S. Department of Health and Human Services Physical Activity Guidelines for Americans and Objectives 2.1 and 2.2 of Healthy People 2020. The California Dietary Practices Surveys (CDPS) (now discontinued) was the most extensive dietary and physical activity assessment of adults 18 years and older in the state of California. CDPS was designed in 1989 and was administered biennially in odd years up through 2013. The CDPS was designed to monitor dietary trends, especially fruit and vegetable consumption, among California adults for evaluating their progress toward meeting the 2010 Dietary Guidelines for Americans and the Healthy People 2020 Objectives. For the data in this table, adults were asked a series of eight questions about their physical activity practices in the last month. Questions included: 1) During the past month, other than your regular job, did you participate in any physical activities or exercise such as running, calisthenics, golf, gardening or walking for exercise? 2) What type of physical activity or exercise did you spend the most time doing during the past month? 3) How many times per week or per month did you take part n this activity during the past month? 4) And when you took part in this activity, for how many minutes or hours did you usually keep at it? 5) During the past month, how many times per week or per month did you do physical activities or exercises to strengthen your muscles? Questions 2, 3, and 4 were repeated to collect a second activity. Data were collected using a list of participating CalFresh households and random digit dial, approximately 1,400-1,500 adults (ages 18 and over) were interviewed via phone survey between the months of June and October. Demographic data included gender, age, ethnicity, education level, income, physical activity level, overweight status, and food stamp eligibility status. Data were oversampled for low-income adults to provide greater sensitivity for analyzing trends among our target population.

ABSTRACT Falls in older adults can negatively affect several biopsychosocial aspects. This study aimed to verify the association of falls with social characteristics, economic factors, clinical aspects, physical activity level, and fall risk awareness in older adult fallers and non-fallers. The sample consisted of 520 older adult (71.7±7.4 years) of both sexes (83.7% female) who were interviewed regarding their social characteristics, economic factors, clinical aspects, fall history, physical activity level (Minnesota), and fall risk awareness (Falls Risk Awareness Questionnaire, FRAQ). The Mann-Whitney and Chi-square tests were used for comparison, and binary and multivariate logistic regression tests were used for association. After data analysis, we identified that older adult fallers presented lower education level, economic class, and fall risk awareness (FRAQ). Education level (OR: 1.35 to 1.28), economic class (OR: 1.62), and FRAQ (OR: 1.46) were associated with falls, which was also observed in older adult people with two or more falls (education level, OR: 2.44 to 1.92; FRAQ, OR: 0.84). The analysis of older adult people with only one fall presented an association only with FRAQ (OR: 0.87). We conclude that older adult fallers presented a lower fall risk awareness, education level, and economic class. FRAQ was an important tool for fall prevention programs, since it was able to identify perceptual factors about the risk of falls that can be used for assessment and follow-up, as well as for targeting these programs for older adults in the community.

Financial overview and grant giving statistics of Friends of the Pulaski Adult Activity Center