BODY BENCHMARKS

Name: Body Benchmarks Human Metrics Database
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Hip Circumference, 18-29, Male, All

Hip Circumference - Health metric data from CDC NHANES 2017-2020

Body Benchmarks Research TeamMPH, MS

Health Metrics Specialists

Dedicated team of health scientists and data analysts specializing in body metrics research and population health data.

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Reviewed by: Health Metrics Team

Comprehensive Guide to Hip Circumference, 18-29, Male, All

Evidence-based health assessment relies on accurate population benchmarks. this metric measurements for Male aged 18-29 (All population) provide essential reference points backed by rigorous scientific methodology. With a median value of 101.5, the distribution reveals meaningful patterns about population health. This comprehensive analysis examines measurement protocols, statistical distributions, clinical significance, and practical implications for health monitoring.

What is Hip Circumference?

A measurement of this metric As an anthropometric indicator, this metric provides objective data about body composition and physical development. Healthcare systems worldwide rely on this metric (expressed in standard units) to track growth patterns, assess nutritional adequacy, and identify potential health concerns. The standardized measurement protocols ensure consistent, comparable data across populations and time.

How is Hip Circumference Measured?

Measurement context significantly influences this metric values, making standardization essential. NHANES protocols carefully control measurement conditions to minimize contextual variability. Survey centers maintain consistent environments, and measurement timing follows prescribed schedules. These controls enable meaningful comparison of values across the entire survey population. Factors such as time of day, recent physical activity, food intake, and environmental conditions can affect this metric. Standardized measurement protocols account for these variables, ensuring that observed differences reflect true variation rather than measurement artifacts.

Distribution & Percentiles

The chart below shows how Hip Circumference is distributed across the population. The percentile values help you understand where you fall relative to others in your demographic group.

Insufficient data for visualization

This metric does not have enough statistical parameters for generating a visualization.

Understanding Percentile Distribution

Interpreting your this metric measurement requires understanding what percentiles mean in practical terms. If your value matches the 50th percentile (101.5), you're exactly at the population median—neither high nor low relative to others. Values between 94.8 and 108.2 (25th to 75th percentile) are considered typical, representing the central half of the distribution. The extremes—below 85.1 or above 118—represent the outer 10% where values are less common but not necessarily abnormal. Percentile position helps contextualize your measurement within the broader population.

Percentile Values Breakdown

5th Percentile (P5)

85.1

5% of the population falls below this value. This represents the lower range of typical variation.

25th Percentile (P25)

94.8

25% of the population falls below this value. This represents the lower-middle range.

50th Percentile (Median)

101.5

This is the middle value. 50% of the population falls below and 50% falls above this value.

75th Percentile (P75)

108.2

75% of the population falls below this value. This represents the upper-middle range.

95th Percentile (P95)

118

95% of the population falls below this value. This represents the upper range of typical variation.

Mean (Average)

101.5

The arithmetic average of all values. This may differ from the median if the distribution is skewed.

Statistical Summary

Standard Deviation10

Distribution TypeNormal

Population18-29, Male

Demographic Variations in Hip Circumference

Age significantly influences this metric through biological processes that vary across the lifespan. Young adults aged 18-29 typically demonstrate values reflecting peak physical development and physiological efficiency. For Male All individuals, age-specific benchmarks account for these developmental patterns. Age-appropriate reference data ensures accurate interpretation regardless of life stage.

Factors Affecting Hip Circumference

What determines your this metric? The answer involves both nature and nurture working together throughout life. Inherited genetic factors set the framework, while nutritional intake, physical activity levels, and overall health status shape the final result. Environmental influences from prenatal development through adulthood contribute to the variation we observe across individuals. Some factors remain fixed while others offer opportunities for positive change through lifestyle modifications.

Health Implications of Hip Circumference

this metric values contribute to overall health risk assessment when interpreted alongside other factors. Extreme values—particularly those below the 5th or above the 95th percentile—may indicate increased health risks depending on the specific metric and clinical context. However, being at an extreme doesn't automatically mean poor health; some individuals naturally fall at distribution tails. Risk assessment considers: absolute values, trends over time, family history, lifestyle factors, and co-existing health conditions. Within Anthropometry, this metric contributes specific risk information that clinicians integrate with broader health assessment. Understanding your this metric as one piece of a larger health puzzle supports informed decision-making.

Clinical Significance

From clinical perspective, this metric provides actionable health information when properly contextualized. In anthropometry assessment, this metric helps clinicians evaluate current status, track changes, and guide interventions. but individual assessment considers the complete clinical picture. Discussion with healthcare providers enables personalized interpretation relevant to your specific health situation.

Research Insights

Research on this metric has established robust population benchmarks that inform clinical practice and public health policy. The NHANES program, conducted continuously since the 1960s, provides among the most comprehensive this metric data available. This nationally representative survey combines standardized physical measurements with health interviews, enabling researchers to understand how this metric relates to health outcomes across diverse populations. NHANES data has informed countless research studies, clinical guidelines, and health policies.

Practical Applications

Applying this metric knowledge to real-world health decisions involves several practical considerations. First, obtain accurate measurements under appropriate conditions. Second, compare your values to demographic-matched benchmarks. Third, consider trends over time rather than isolated values. Fourth, discuss findings with healthcare providers who can integrate this metric with your complete health picture. Fifth, if warranted, take evidence-based actions to optimize your this metric through lifestyle modifications or medical interventions.

🇷🇺 Региональные данные о здоровье: Россия

✓Проверенные данные из официальных источников

Данные о здоровье населения России собираются Росстатом в рамках выборочных наблюдений состояния здоровья населения.

Система здравоохранения России обеспечивает бесплатную медицинскую помощь через систему обязательного медицинского страхования (ОМС) и включает регулярную диспансеризацию.

Официальные данные Росстат / Минздрав ↗

Примечание: Основные данные из CDC NHANES (США). Местная статистика из официальных национальных обследований здоровья. (2024-01)

📊Data Transparency & Sources

Sources & References

Source Citation

Source:CDC NHANES 2017-2020

Year:2017-2020

Population:18-29 Male (All)

Evidence Level:Level 1 (nationally representative survey)

View Original Source →

Frequently Asked Questions

What this metric range is typical?

Normal this metric encompasses a range of values that varies by demographic group. For individuals aged 18-29, Male, All population, the median value is 101.5. Values between the 5th and 95th percentiles (85.1 to 118) represent normal variation. Using demographic-matched benchmarks ensures appropriate comparison.

How do percentiles work for this metric?

Percentiles show where your this metric falls relative to others in your demographic group. At the 50th percentile (101.5), half the population is above and half below. Between the 25th (94.8) and 75th (108.2) percentiles represents the middle half of the distribution—where most healthy values fall. Percentiles at extreme ends (below 5th or above 95th) are less common but not necessarily abnormal. Context matters for interpretation.

Is it possible to change my this metric?

this metric can change over time due to age-related processes, lifestyle modifications, health conditions, and interventions. Some factors are relatively fixed (like genetics), while others respond to deliberate changes (like exercise or diet). In the 18-29 age range, age-related changes may be occurring. Tracking your this metric over time reveals personal trends that provide valuable health information. Consistent measurement conditions enable meaningful comparison of values over time.

When should I be concerned about my this metric?

Consider discussing your this metric with a healthcare provider if: values fall significantly outside normal range (below 5th or above 95th percentile), you've noticed substantial changes over time, values are associated with symptoms, or you have questions about health implications. Being at a percentile extreme doesn't automatically indicate problems—many healthy individuals naturally fall at distribution tails. Clinical significance depends on context, symptoms, and other health factors. Healthcare providers can offer personalized interpretation.

Should I use ethnicity-specific this metric benchmarks?

this metric values differ across ethnic groups due to genetic, environmental, and lifestyle factors. All populations show characteristic patterns that reflect population-specific genetics, dietary traditions, activity patterns, and environmental influences. These differences are normal and expected—not indicators of better or worse health. Using All-specific reference data ensures your comparison reflects meaningful variation rather than expected population differences. This demographic specificity improves the accuracy and relevance of health assessment.

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