Class 12 Economics Survey Project: A 30-Household Guide

A row of houses can look quite similar from the street. Yet one household may depend on a regular salary, another on a small shop, and another on seasonal work. Some have reliable internet for studying. Others share one phone. Economics becomes much more real when you begin noticing these differences.

A socio-economic survey project brings together information about people’s economic circumstances and their access to everyday opportunities and services. For a Class 12 project, 30 households can provide a manageable exercise in asking questions, organising responses, calculating percentages, and drawing careful conclusions.

This guide gives you an original questionnaire and a complete analysis plan. The suggested sample size is a practical project design, not a universal school requirement. Confirm your teacher’s required topic, length, and format before starting.

All numerical survey results below are fictional teaching examples. Replace them with your own fieldwork. Do not present them as interviews you conducted.

Choose a Question You Can Actually Answer

Use this project title:

Livelihoods and Access to Basic Services: A Socio-Economic Survey of 30 Households in [Locality]

The central question is: What differences in livelihood sources, household size, and access to selected services appear among the households surveyed?

Keep four objectives:

1. Describe household size and the main sources of household income.
2. Record selected education, housing, water, and internet indicators.
3. Summarise optional income bands without identifying individual families.
4. Compare one service indicator across income groups and discuss limitations.

You do not need to measure everything. A short questionnaire answered thoughtfully is more useful than a long form filled with guesses.

National surveys offer useful background. For example, the official Household Consumption Expenditure Survey description explains how detailed household consumption information helps study living standards. Our school exercise is much narrower and does not reproduce its design or estimates.

Define the Household Before Counting It

For this project, use a working definition: a household consists of people who normally live together and share arrangements for food and everyday expenses. State this definition in the methodology and apply it consistently.

A household is your unit of study. The adult who answers is your respondent. These are not the same thing. Interviewing two adults from one household does not give you two households.

Two separately managed households may live in one building. Conversely, several related people may form one household. Ask about the living arrangement instead of deciding from the surname or the number of front doors.

Write down a consistent rule for temporarily absent members before fieldwork. For example, include a member temporarily away who normally lives there and shares the household budget; exclude a relative who has established a separate household elsewhere. Discuss unclear cases with your teacher.

Use one response sheet per household, labelled H01 through H30. Do not put names, phone numbers, precise addresses, identification numbers, or bank details into the submitted dataset.

How to Select 30 Households

The population must be defined before the sample. It could be all occupied households in a named residential block, rather than everyone in an entire city.

The distinction between a census and a sample survey, and between primary and secondary data, is explained in NCERT’s Collection of Data chapter. Your interviews supply primary data for this project; published reports used for background are secondary sources.

If you can prepare a complete household list

With appropriate permission, prepare a private list of the households in your chosen area. Give each household a unique number. Suppose there are 120 eligible households.

Draw 30 distinct numbers without replacement using shuffled slips or a random-number tool. Each listed household then has the same initial chance of selection. Keep the selection record so you can explain the procedure.

Plan contact attempts at different reasonable times. A household absent on one afternoon should not automatically disappear from the study. Record refusal, no contact, or ineligibility separately.

If your teacher requires 30 completed interviews, agree on a reserve procedure in advance. Randomly order the remaining households and approach reserves in that order after the agreed contact attempts. Report how many original selections were replaced and why. Replacement does not remove possible non-response bias.

If you can only approach accessible households

It is acceptable to describe the work honestly as a convenience sample for a classroom exercise. If you deliberately cover several lanes, explain that choice too. Selecting ten convenient households from each lane does not make the selection random.

Do not claim that the results represent the city, district, or country. Avoid attaching a formal margin of error to a convenience sample. Statistics Canada’s guidance on questions to ask about surveys stresses the importance of distinguishing probability and non-probability selection when interpreting sampling error.

A Simple Fieldwork Plan

Allow about a week, adjusting for your school schedule:

Stage	What to do	What to keep
Plan	Fix the locality, objectives, selection method, and dates	One-page methodology
Pilot	Try the questions with two consenting adults outside the final sample	Notes on confusing wording
Revise	Clarify categories and check the interview length	Final questionnaire
Collect	Interview selected households using the same wording	Coded response sheets and contact log
Check	Review missing values and inconsistent answers	Correction notes
Analyse	Prepare counts, percentages, and one comparison	Tables and graphs
Write	Explain findings, limitations, and conclusions	Final project file

Aim for a short conversation, perhaps 10 to 15 minutes, and revise that estimate after the pilot. If questions change substantially, do not mix pilot responses into the final dataset.

The Australian Bureau of Statistics question-design guidance supports testing questions with respondents, keeping wording clear, and avoiding questions that combine separate ideas or push people toward an answer.

Opening Script and Consent

You can say:

“Hello. I am doing a school Economics project about household livelihoods and access to basic services in this locality. Taking part is voluntary. You may skip any question or stop at any time. I will use a household code and report grouped results, without your name or address. Would you be comfortable answering a few questions?”

Interview an adult who is familiar with the household. Follow school guidance for supervised fieldwork and visit only approved, safe locations. If the person declines, thank them and leave.

Keep any contact list separate from the response sheets. Do not photograph people, homes, documents, or completed forms as proof of participation. If the teacher needs evidence, agree on a method that protects respondents before starting.

Ready-to-Use Household Questionnaire

Record the household code, interview date, broad area code, and consent status at the top. If consent is not given, stop. For every substantive question, allow don’t know and prefer not to answer, even where they are not repeated below.

A. Household and Education

1. How many people normally belong to this household under the definition explained above?

Record a whole number: ____.

2. How many household members are in each age group?

Under 6: ____; 6 to 17: ____; 18 to 59: ____; 60 or older: ____.

Check that the four counts add to Question 1. Do not guess ages when the respondent does not know.

3. How many members aged 6 to 17 are currently enrolled in school?

Record ____; choose not applicable if there are no members in this age group. This measures reported enrolment, not regular attendance or learning outcomes.

4. What is the highest level of education completed by any adult member aged 18 or older?

Choose one: no formal schooling; below primary; primary; middle; secondary; higher secondary; diploma or certificate after school; undergraduate degree or higher; other, please describe.

Keep diploma or certificate responses separate unless you have a clear rule for classifying their level. This question describes the highest adult attainment in the household, not the education of every member.

B. Livelihoods and Housing

5. How many adult members received earnings from paid work or self-employment during the last completed calendar month?

Record ____. Write that month’s name on the form. Do not count pension alone as earnings from work. A person may have worked without receiving earnings that month, so this question does not measure employment status.

6. Which source contributed the largest amount to total household income during that month?

Choose one: regular wages or salary; casual wages; self-employment including farming or business; pension; transfers or remittances; rent or investment income; other; no income received; two or more sources tied.

For business or farming, use earnings after operating costs, rather than sales receipts. An unusually seasonal month should be mentioned in the limitations.

7. Is the dwelling owned by a household member, rented, provided by an employer, or occupied under another arrangement?

Choose one. Do not infer ownership from the appearance of the building.

C. Access to Services

8. What was the household’s main source of drinking water during the past 30 days?

Choose the source supplying the largest share: piped supply at home; public tap; borewell or tube well; protected well; tanker; packaged water; other, please specify; two or more sources tied.

9. During the past seven days, on how many days was sufficient drinking water available for the household’s needs?

Record a number from 0 to 7. This asks about availability, not laboratory-tested water quality.

10. Which toilet arrangement do household members mainly use?

Choose one: toilet used only by this household; toilet shared with other households; public or community toilet; no toilet access; other arrangement.

11. What fuel or energy source did the household mainly use for cooking during the past 30 days?

Choose one: LPG or piped gas; electricity; biogas; firewood or crop residue; coal or charcoal; kerosene; other; no cooking at home; sources tied.

12. Can at least one household member currently access the internet from home, including through mobile data?

Choose yes or no. This does not measure speed, affordability, or whether every member can use it.

13. During the past 30 days, did anyone in the household need internet access for education?

Choose yes or no. If no, skip Question 14.

14. During the past 30 days, did lack of internet access interrupt anyone’s education-related activity in this household?

Choose yes or no. Ask only where Question 13 is yes. Record not applicable for households skipped under that rule.

Official surveys also examine different dimensions of service access. The Multiple Indicator Survey report is useful background for understanding why water availability, sanitation, and other amenities should be considered separately. The questions here are simplified classroom questions, not official indicator definitions.

D. Optional Income and Local Priorities

15. Which band best describes total household income received during the last completed calendar month?

Use the same month as Questions 5 and 6. Explain that income includes earnings after business costs, pensions, transfers, rent, and investment income, but excludes borrowing and proceeds from selling assets.

Choose one:

• Less than Rs 15,000, including zero.
• Rs 15,000 to less than Rs 30,000.
• Rs 30,000 to less than Rs 50,000.
• Rs 50,000 or more.
• Don’t know.
• Prefer not to answer.

These are study categories, not official poverty categories. Adjust them during the pilot if appropriate, then keep them fixed for the actual survey.

16. Which one local service, if any, would your household most like to see improved?

Record a short answer in the respondent’s own words. Accept “none”. Later group answers into themes such as water, transport, waste collection, internet, education, or other. Retain the original answer privately so your grouping can be checked.

Close by thanking the respondent. There is no need to persuade them to answer an income question they have skipped.

Turn the Answers Into a Clean Data Sheet

Use one row per household and one column per variable. A compact column list is:

ID, area, size, four age counts, school enrolment count, education category, earners, main income source, tenure, water source, water days, toilet arrangement, cooking fuel, home internet, education internet need, interruption, income band, priority.

Use short category codes and write a code key. For example, internet access can be Y or N. Use DK for don’t know, PN for prefer not to answer, and NA for not applicable. Use M for an accidentally missing answer until it can be clarified.

Never convert missing income into zero income. Zero is an actual value, while missing means you do not have the value. Similarly, NA for Question 14 is not a “no interruption” response.

Before calculation, check that household codes are unique, age counts add correctly, and the enrolment count does not exceed the number aged 6 to 17. Check that water-availability days lie between zero and seven and that skip rules were followed. If something looks inconsistent, clarify it where possible; otherwise retain a documented missing value. Do not quietly invent a correction.

Worked Analysis for a Fictional 30-Household Sample

The following tables form a practice example, not a real locality profile. Use the structure with your own counts.

Table 1: Household Size

Members per household	Households	Total members
2	4	8
3	6	18
4	10	40
5	7	35
6	3	18
Total	30	119

Mean household size = total members / households = 119 / 30 = 3.97 members.

A mean need not be a whole number. It summarises the sample; it does not describe a particular household with 3.97 people.

For the median, arrange the 30 sizes in order. Both the 15th and 16th observations fall in the four-member group, so the median is 4. The mode is also 4 because it is the most frequent size.

Table 2: Income Bands and Non-Response

Reported monthly income	Households	Percentage of all 30 households
Less than Rs 15,000	6	20.00%
Rs 15,000 to less than Rs 30,000	10	33.33%
Rs 30,000 to less than Rs 50,000	8	26.67%
Rs 50,000 or more	4	13.33%
Prefer not to answer	2	6.67%
Total	30	100.00%

The fictional sample has no don’t-know income responses. Add that category if your actual survey has any.

Percentage = relevant count / stated denominator x 100.

Sixteen households reported income below Rs 30,000. That is 16 / 30 x 100 = 53.33% of the full sample, or 16 / 28 x 100 = 57.14% of households reporting an income band. Both calculations are correct, but they answer different questions.

You cannot calculate an exact mean income from these bands. The highest band has no upper boundary, and individual incomes within each band are unknown. Report the distribution instead of inventing an average.

Table 3: Income Group and Home Internet Access

Combine the income bands into two groups for a small comparison. Exclude the two households without income-band responses from this table and explicitly say so. In this fictional example, all remaining households answered the internet question.

Monthly income group	Internet access: yes	Internet access: no	Total	Yes as percentage of row
Below Rs 30,000	9	7	16	56.25%
Rs 30,000 or more	11	1	12	91.67%
Total	20	8	28	71.43%

For the first row, calculate 9 / 16 x 100, not 9 / 28 x 100. You are asking what proportion within that income group reported access.

The difference is about 35.42 percentage points. Write: “Home internet access was more common in the higher reported income group within this sample.”

Do not write: “Higher income caused internet access.” Other factors may be involved, and a small survey at one point in time does not establish causation. Also, 20 / 28 is not the internet-access percentage for all 30 households. For that, use all valid answers to Question 12, including the households that skipped income.

Use the Right Population for Schooling and Internet Questions

Suppose the households contain 24 children aged 6 to 17 and 22 are enrolled. With complete answers, the enrolment percentage is 22 / 24 x 100 = 91.67% of children in that age group. Dividing by 30 households would mix people and households.

For Question 14, suppose 18 households needed education-related internet, 17 answered the interruption question, and 5 reported an interruption. Report 5 of 17 answering eligible households, or 29.41%, plus one missing eligible response. The other 12 households were not eligible for that question.

This is why “divide every count by 30” is not a safe rule.

Which Graphs Should You Draw?

Use a bar chart for household-size frequencies. Put size on the horizontal axis and household count on the vertical axis, starting at zero.

Use a second bar chart for income bands, with non-response shown separately. Do not conceal the two skipped answers to make the chart look neater.

For the income-and-internet comparison, use two percentage bars with a common 0% to 100% scale. Label the group sizes as 16 and 12. Raw yes counts of 9 and 11 alone hide the difference in group size.

Give each graph a title, labels, units, and source. For your final fieldwork, write “Source: Primary household survey, [locality], [dates].” For the examples in this guide, write “Source: Fictional practice data.”

Avoid a line graph implying change over time when you have interviewed households only once.

Write Findings That Sound Like Economics

A finding needs a number, its meaning, and a boundary. Using the fictional tables:

• “The mean household size was 3.97 members, while the median and mode were both 4. Four-member households were the most common group.”
• “Sixteen of the 28 households that reported an income band were below Rs 30,000 for the stated month. Two of the 30 households did not disclose an income band.”
• “Home internet access was reported by 56.25% of the lower income group and 91.67% of the higher income group. This is an association within the surveyed sample.”

Connect the findings to household resources, access to services, and economic opportunity. Do not label a family poor simply because it falls into a band you created. Household size, living costs, assets, and other circumstances also matter.

If you want a second project example for organising questionnaires and response tables, see the consumer awareness survey guide.

Limitations, Recommendations, and Conclusion

Discuss limitations that actually apply: the small sample, convenience selection if used, households unavailable during visits, income non-response, recall errors, and differences between a particular month’s income and a household’s usual circumstances.

Do not compare your income bands directly with official consumption-expenditure figures. Income and consumption are different measures. National surveys may also use different definitions, reference periods, and sampling methods.

Match recommendations to what you measured. If respondents repeatedly name irregular water supply, suggest further investigation of supply reliability. If education-related internet interruptions appear, suggest exploring access to supervised school study facilities. Do not claim that your survey proves which policy will work.

An adaptable conclusion is:

“The survey describes livelihoods and selected service-access conditions among the participating households in [locality] during [dates]. The main findings were [insert verified findings]. The results suggest areas for further local enquiry, particularly [insert evidence-based issue]. Because of [state actual sampling and response limitations], the findings should not be generalised beyond the study without additional evidence.”

Arrange the Final Project File

Follow your teacher’s prescribed order. A practical sequence is title page, required certificate or acknowledgement, contents, introduction, objectives, methodology, questionnaire, tables and graphs, findings, limitations, recommendations, conclusion, bibliography, and an anonymised appendix.

Put the actual survey dates and number of completed interviews in the methodology. Retain a record of contact attempts. If you completed 27 interviews, report 27 and discuss the shortfall with your teacher. Never fill three missing rows with made-up households.

Before submission, trace a few rows back to their response sheets, recalculate your totals, and check every graph against its table. Be ready to explain why a denominator is 30, 28, 24, or 17. That explanation often reveals more understanding than an elaborate cover page.

Frequently Asked Questions

1. Is a socio-economic survey the same as an income survey?

No. Income is one possible component. A socio-economic survey can also examine education, livelihoods, household composition, housing, and access to services. Choose a manageable set of indicators that matches your objectives.

2. Are 30 households compulsory for a Class 12 Economics project?

Not universally. Thirty is the sample size used in this guide. Follow your teacher’s instructions and explain how you selected the participating households.

3. Can I survey relatives and neighbours?

Yes, if your teacher permits it and participation is voluntary. Describe convenience selection honestly. Avoid claiming that familiar households represent the wider population.

4. Must respondents disclose their exact income?

No. Optional bands are often more comfortable for a student exercise. Allow refusal, record it separately, and do not turn a skipped answer into zero income.

5. What if a household has several income sources?

Ask which contributed the largest amount during the stated month. Include all relevant sources when asking about the total income band. If sources tie, use the tie category instead of choosing for the respondent.

6. Can I calculate average income from the suggested bands?

Not an exact average. The individual amounts are unknown and the highest band is open-ended. A frequency distribution is more defensible than an average built on unsupported assumptions.

7. Should every percentage use 30 as the denominator?

No. Use the relevant unit and eligible responses. A household indicator may use 30, an income comparison may use 28, and a school-enrolment measure uses the number of children in the specified age group with valid information.

8. Does a connection between income and internet access prove causation?

No. It describes an association in your sample. Other influences and the survey design prevent you from concluding that one variable caused the other.

9. Can I copy the practice tables into my submitted findings?

Only as clearly labelled illustrative material if your teacher allows it. They cannot stand in for fieldwork. Your actual findings must come from the responses you collected.

10. What makes this project convincing in a viva?

Explain your household definition, selection method, question wording, missing-answer treatment, and percentage calculations. Acknowledge limitations calmly. Knowing exactly what your data can and cannot show is a sign of good Economics work.