Essay Undergraduate 565 words

Life Expectancy Trends in England and Wales: Data Analysis

~3 min read

Abstract

This paper examines life expectancy trends in England and Wales over a ten-year period using death record data for individuals aged 45 to 69. It analyzes bar graph and mean-age statistics to assess changes in mortality patterns, discusses how death records are collected and maintained, identifies potential sources of error in the data, and proposes safeguards to improve data integrity. The paper concludes that, despite modest shifts in mean age of death, declining absolute death counts in older age brackets suggest more people are surviving past age 70, pointing to meaningful improvements in health outcomes over the decade studied.

📝 How to Write This Type of Paper Writing guide — click to expand

▼

What makes this paper effective

The paper moves logically from analysis of findings to methodology to limitations, creating a coherent investigative structure.
It balances quantitative reasoning (mean age, absolute counts) with qualitative critique of data reliability, demonstrating analytical range.
Practical recommendations in the final section ground abstract concerns in actionable policy suggestions, strengthening the paper's applied value.

Key academic technique demonstrated

The paper demonstrates critical evaluation of secondary data — a core skill in social science research. Rather than accepting the statistics at face value, the author interrogates how the data was gathered, what errors may have been introduced, and how conclusions drawn from averages can be misleading without context (e.g., the restricted 45–69 age range). This reflexive approach to data interpretation is characteristic of strong undergraduate analytical writing.

Structure breakdown

The paper is organized into four functional sections: (1) interpretation of trend data, (2) description of likely data collection processes, (3) identification of data quality issues, and (4) proposed improvements to the data system. Each section builds on the previous, moving from "what the data shows" to "how it was gathered" to "what could go wrong" to "how to fix it."

Introduction and Overview of Life Expectancy Trends

One of the questions that can be examined using this data is whether life expectancy in England and Wales has increased or decreased overall over the past decade. Both presentations of data help to address this question. The bar graphs clearly demonstrate how dramatically the number of deaths in the highest age group has decreased, likely due to improved medical interventions. The mean age of death among the population for which data was provided, however, dropped only slightly. This must be interpreted carefully: the bar graphs make clear that a change has occurred even if the averages do not indicate a major shift. It must also be remembered that the data sets include only individuals who died between the ages of 45 and 69. Even within this population, the mean age of death decreased slightly, and the lower absolute numbers in each age category between 1998 and 2008 suggest that more people are surviving to age 70 and beyond.

Data Collection Methods and Sources

The data was likely originally collected through medical records and death records logged with various officials. Deaths are recorded as a matter of policy, making this data something the government would automatically possess in most cases. The data was likely drawn from these sources, and it is probable that a running tally of relevant information is maintained and regularly updated from incoming death records as hospitals and other medical personnel report them. A frequently updated database would make it straightforward for anyone with authorized access to view the original data and its totals. If such a database is not maintained, collating and totaling this data would have been considerably more time-consuming, though still relatively manageable in terms of collection — assuming that death reports are filed correctly and with reasonable promptness.

2 Locked Sections · 265 words remaining

Potential Errors and Limitations in the Data · 145 words

"Sources of inaccuracy and their likely impact"

Improving Data Integrity: Ethical and Practical Considerations · 120 words

"Proposed safeguards for more reliable data collection"

You’re 50% through this paper. Sign up to read the remaining 2 sections.

130,000+ paper examples AI writing assistant Citation generator Cancel anytime

Key Concepts in This Paper

Life Expectancy Mortality Trends Death Records Data Integrity Age of Death Statistical Limitations Public Health Data Data Collection Clerical Error England and Wales