Understanding Data Interpretation from Tables

This question requires us to interpret data presented in a table to find a specific value. The table provides information about the percentage of the population below the poverty line and the proportion of males and females in five different districts (D1, D2, D3, D4, D5).

Analyzing the Given Data for District D3

We are given the following information:

• Total population in District D3 = 40,000
• Percentage of population below poverty line in District D3 = 20% (from the provided table)

The table also gives proportions of males and females, both below and above the poverty line, but this information is not needed to answer this specific question.

Calculating Population Below Poverty Line in D3

To find the population below the poverty line in District D3, we need to calculate 20% of the total population of D3. The total population is 40,000.

The calculation is as follows:

\(\text{Population below poverty line in D3} = \text{Percentage below poverty line} \times \text{Total population in D3}\)

\(\text{Population below poverty line in D3} = 20\% \times 40,000\)

\(\text{Population below poverty line in D3} = \frac{20}{100} \times 40,000\)

\(\text{Population below poverty line in D3} = 0.20 \times 40,000\)

\(\text{Population below poverty line in D3} = 8,000\)

Therefore, the population below the poverty line in District D3 is 8,000.

Checking the Options

Let's compare our calculated value with the given options:

• Option 1: 10,000
• Option 2: 5,000
• Option 3: 8,000
• Option 4: 12,000

Our calculated value, 8,000, matches Option 3.

Revision Table: Key Concepts for Data Interpretation

Additional Information: Poverty Line and Population Metrics

The term "below poverty line" refers to individuals or households whose income falls below a level deemed necessary to achieve a basic standard of living. Governments and organizations define poverty lines based on various factors like income, cost of basic needs (food, housing, healthcare), etc.

Population data is often presented in various ways in data interpretation questions, including:

• Absolute numbers (e.g., 40,000 people)
• Percentages (e.g., 20% below poverty line)
• Ratios or proportions (e.g., 2:3 male to female)

Understanding how these metrics relate to each other is crucial for solving data interpretation problems.

In this problem, we converted the percentage below the poverty line into an absolute number by multiplying it by the total population. This is a common type of calculation in data interpretation exercises.