Complete the table by calculating population density and identify regions with high and low population density.

Problem Breakdown and Solution

#### Task 4: Calculate Population Density
The formula for population density is given as:
\[
\text{Density} = \frac{\text{Population}}{\text{Area}}
\]
We need to calculate the population density for each country listed in the table. Let's do this step by step.

##### Step 1: Germany
- Population: 80,767,000
- Area: 357,000 km²
\[
\text{Density} = \frac{80,767,000}{357,000} \approx 226.24 \text{ people/km}^2
\]

##### Step 2: Bangladesh
- Population: 150,000,000
- Area: 144,000 km²
\[
\text{Density} = \frac{150,000,000}{144,000} \approx 1,041.67 \text{ people/km}^2
\]

##### Step 3: Greenland
- Population: 56,000
- Area: 2,166,000 km²
\[
\text{Density} = \frac{56,000}{2,166,000} \approx 0.03 \text{ people/km}^2
\]

##### Step 4: China
- Population: 1,370,000,000
- Area: 9,600,000 km²
\[
\text{Density} = \frac{1,370,000,000}{9,600,000} \approx 142.71 \text{ people/km}^2
\]

##### Completed Table
\[
\begin{array}{|c|c|c|c|}
\hline
\text{Country} & \text{Size (area) km}^2 & \text{Population} & \text{Density} \\
\hline
\text{Germany} & 357,000 & 80,767,000 & 226.24 \text{ people/km}^2 \\
\hline
\text{Bangladesh} & 144,000 & 150,000,000 & 1,041.67 \text{ people/km}^2 \\
\hline
\text{Greenland} & 2,166,000 & 56,000 & 0.03 \text{ people/km}^2 \\
\hline
\text{China} & 9,600,000 & 1,370,000,000 & 142.71 \text{ people/km}^2 \\
\hline
\end{array}
\]

#### Task 5: Identify Areas with High and Low Population Densities
To identify areas with high and low population densities, we can use general knowledge about regions around the world. Here are some examples:

##### High Population Density Areas
1. Hong Kong, China
- Reason: Hong Kong is one of the most densely populated regions globally due to its limited land area and high urbanization.
- Density: Approximately 6,700 people/km².

2. Mumbai, India
- Reason: Mumbai is a major metropolitan city with a large population concentrated in a relatively small area.
- Density: Approximately 20,000 people/km².

3. Tokyo, Japan
- Reason: Tokyo is a highly urbanized area with a dense population living in a compact space.
- Density: Approximately 6,100 people/km².

##### Low Population Density Areas
1. Kalahari Desert, Botswana
- Reason: The Kalahari Desert is an arid region with harsh environmental conditions, leading to very low population density.
- Density: Approximately 1 person/km².

2. Siberia, Russia
- Reason: Siberia is a vast, cold region with extreme weather conditions, resulting in very low population density.
- Density: Approximately 3 people/km².

3. Australian Outback
- Reason: The Australian Outback is a remote, arid region with sparse settlement.
- Density: Approximately 0.2 people/km².

##### Completed Table
\[
\begin{array}{|c|c|}
\hline
\text{High population density} & \text{Low population density} \\
\hline
1. \text{Hong Kong, China} & 1. \text{Kalahari Desert, Botswana} \\
\hline
2. \text{Mumbai, India} & 2. \text{Siberia, Russia} \\
\hline
3. \text{Tokyo, Japan} & 3. \text{Australian Outback} \\
\hline
\end{array}
\]

Final Answer

\[
\boxed{
\begin{array}{|c|c|c|c|}
\hline
\text{Country} & \text{Size (area) km}^2 & \text{Population} & \text{Density} \\
\hline
\text{Germany} & 357,000 & 80,767,000 & 226.24 \text{ people/km}^2 \\
\hline
\text{Bangladesh} & 144,000 & 150,000,000 & 1,041.67 \text{ people/km}^2 \\
\hline
\text{Greenland} & 2,166,000 & 56,000 & 0.03 \text{ people/km}^2 \\
\hline
\text{China} & 9,600,000 & 1,370,000,000 & 142.71 \text{ people/km}^2 \\
\hline
\end{array}
}
\]
\[
\boxed{
\begin{array}{|c|c|}
\hline
\text{High population density} & \text{Low population density} \\
\hline
1. \text{Hong Kong, China} & 1. \text{Kalahari Desert, Botswana} \\
\hline
2. \text{Mumbai, India} & 2. \text{Siberia, Russia} \\
\hline
3. \text{Tokyo, Japan} & 3. \text{Australian Outback} \\
\hline
\end{array}
}
\]