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Dependency Ratio

Posted on October 16, 2025October 22, 2025 by user

Dependency Ratio — Definition and Guide

The dependency ratio is a demographic measure that compares the number of dependents in a population to the number of people of typical working age. It helps assess the relative economic burden on the workforce to support non-working-age groups.

Key point
* Dependents are usually defined as people aged 0–14 and 65+.
* Working-age population is typically defined as ages 15–64.
* A higher dependency ratio means more dependents per working‑age person and greater potential economic pressure on workers and public finances.

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How to calculate it

Dependency Ratio (%) = (Number of Dependents ÷ Population Aged 15–64) × 100

Variants
* Total dependency ratio = (0–14 + 65+) ÷ 15–64 × 100
Youth dependency ratio = (0–14) ÷ 15–64 × 100
Elderly (old‑age) dependency ratio = (65+) ÷ 15–64 × 100

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You can also use the inverse (support ratio), which shows how many working‑age people there are per dependent.

Practical example

Imagine a country with:
* 250 children (0–14)
* 500 working‑age people (15–64)
* 250 elderly (65+)

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Calculations:
* Youth dependency ratio = 250 ÷ 500 × 100 = 50%
Elderly dependency ratio = 250 ÷ 500 × 100 = 50%
Total dependency ratio = (250 + 250) ÷ 500 × 100 = 100%

A total ratio of 100% means there is one dependent for every working‑age person.

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Implications

A rising dependency ratio can affect:
* Public finances — greater demand for pensions, healthcare, education and other transfers may require higher taxes or reallocation of budget resources.
* Labor markets — fewer workers relative to dependents can constrain economic growth unless productivity rises.
* Social policy — pressure to reform retirement ages, pension systems, and long‑term care.

The composition matters:
* High youth dependency often increases spending on education and childcare; it may offer a future dividend if those youth enter the workforce.
* High elderly dependency typically raises healthcare and pension costs immediately.

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What affects the dependency ratio

Major drivers include:
* Birth rates — higher birth rates increase youth dependency initially.
* Mortality and life expectancy — longer lifespans raise elderly dependency over time.
* Migration — inflows of working‑age migrants lower the ratio; outflows raise it.
* Labor force participation and retirement policies — affect how many people classified as “working‑age” are actually economically active.

Limitations

The dependency ratio is a simple age‑based indicator and has several limitations:
* Age is only a proxy for economic activity — many people under 15 or over 64 may work, and many 15–64 may be unemployed, students, disabled, or not in the labor force.
* It does not capture differences in productivity or earnings among workers.
* It ignores intra‑country variations (regional, socioeconomic) and policy differences such as childcare support or pension generosity.
* Threshold ages (15 and 64) are arbitrary and can vary across studies.

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Policy responses

Common approaches to ease high dependency pressures:
* Encourage higher labor force participation (e.g., support for working parents, retraining older workers).
* Reform pension and retirement age policies.
* Promote productivity growth through investment in education and technology.
* Use immigration policy to supplement the working‑age population.
* Implement family‑friendly policies to influence longer‑term birth rates.

Quick facts

  • Lower dependency ratios are generally seen as more favorable economically, because fewer dependents must be supported per worker.
  • Countries differ widely: some have very low ratios due to large working‑age migrant populations, while others face very high ratios because of high fertility or rapid population aging.

Conclusion

The dependency ratio is a useful, easy-to-calculate indicator for understanding the balance between dependents and those of working age. It provides an initial signal of potential fiscal and economic pressure but should be used alongside other measures (labor force participation, productivity, public expenditure profiles) to inform policy and planning.

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