Census Income data from various countries.
Q1. How is education distributed among different racial groups?
Q2. How does income correlate with different variables like education, work class, occupation, race, marital status, and sex?
Q3. Explore the relationship between Age and the number of hours worked per week.
Q4. Draw a correlation between income, age, hours per week, and education number.
Q5. Is there any correlation between number of hours worked and income worked?
Q6. What is the median age of people with >50k income?
Q7. Is there any difference in the pattern of analysis US and other countries?
Income distribution by education
Based on education, this plot tells us that people who earned high school graduate, some college and bachelor’s degrees (top 3) earned <=50k income. Higher education does show higher income.
However, people who earned a Doctorate and Prof-school earned >50k income.
There are less number of people who earned with 5-6th, 10th, 1st-4th, preschool, and 12th class earned <=50k.
Income distribution by Workclass
People who worked in the private sector have the highest regardless of earning <=50k or >50k.
Other high categories are self-employed-not inc, Unknown sector, State-gov, local-gov, self-emp-inc and federal-gov sectors.
There is no data available in the Without-pay and Never-worked categories.
Income distribution by Occupation
A majority of people have <50k income based on sector.
The most commonly occurring occupations in both income categories are executive-managerial and professional-specialty. Except for the armed forces and private-house-serve sector <= 50k are high in all occupation sectors.
Income distribution by Race
White represents a higher income slab than the rest.
Income distribution by Marital status
The people who are never married represent the highest and have <=50k income
The people who are married-civilian-spouse represent the second highest have <=50k income. They also have a high income with >50k which may conclude the combined salary of the spouse.
Income distribution by Sex
Males have more earnings than females. Male earns <=50k than >50k. Female earns <=50k than >50k.
- Little data on capital gains and loss to be analysed with income.
- Couldn't perform median or average and replace in any column as they represent the country dataset. It is possible when data is at state level.
- Similar trends of high private jobs, occupation and income range in US population and other countries.
- Male population having more income than females.
- The median age of >50k income is 45 years.
- White population has high frequency of some college, HS-grad and Bachelors degree.
- Not much difference in pattern of analysis between US and other countries. It is noticeable to say that 80% of world census data is coming from the US.