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Class 11 Economics Book Statistics for Economics: What’s Inside the NCERT Edition

The Class 11 Economics book Statistics for Economics is the official NCERT textbook for the data-analysis half of Class 11 Economics. It runs 8 chapters across 120 printed pages — from Why Economics? (p. 1) to Use of Statistical Tools (p. 120) — and the official NCERT PDF for every chapter is on this page, linked straight from ncert.nic.in.

This page goes further than the file itself. It reports what each chapter actually contains, measured from the book: activities, numbered figures, end-of-chapter questions, and where the visual and numerical loads sit. If you are choosing what to revise tonight, the chapter-by-chapter breakdown below is the faster map.

Download the official NCERT Class 11 Economics PDFs

All eight files in the table below are NCERT’s own editions, hosted on ncert.nic.in as chapter files kest101-kest108. Nothing here is a scan from a third-party site.

  • 8 official chapter PDFs, one row per chapter, each with its page range.
  • Free to download — NCERT’s own editions, not a re-upload.
  • Chapter links open directly, so you can reach Why Economics? or the project chapter without opening the whole book.

The first chapter file, kest101.pdf, is NCERT’s official source for Why Economics? — open it to confirm the edition before you work through the rest of the table.

Ch. Chapter Pages Official PDF
1 Why Economics? 8 PDF
2 Collection of Data 13 PDF
3 Organisation of Data 18 PDF
4 Presentation of Data 18 PDF
5 Measures of Central Tendency 16 PDF
6 Correlation 16 PDF
7 Index Numbers 15 PDF
8 Use of Statistical Tools 16 PDF

NCERT Economics Class 11 PDF in English: the book at a glance

  • 8 chapters, from Why Economics? (p. 1) to Use of Statistical Tools (p. 120).
  • 120 printed pages across the 8 official chapter PDFs.
  • 23 verified numbered figures indexed from the textbook, concentrated in chapters 3, 4, 6 and 8.
  • 36 activities spread through chapters 1 to 7; Chapter 8 runs as a project instead.
  • 0 numbered section headings — every heading in this book is an unnumbered title, such as Direct Method or Scatter Diagram.

What the book actually teaches, chapter by chapter

The directory below is the whole book in one table: every chapter with its page range and the counts of what sits inside it.

Ch. Chapter Sections Activities Figures Questions
1 Why Economics? — 4 — 7
2 Collection of Data — 3 — 4
3 Organisation of Data — 8 2 11
4 Presentation of Data — 7 9 15
5 Measures of Central Tendency — 5 — 9
6 Correlation — 5 7 20
7 Index Numbers — 4 — 22
8 Use of Statistical Tools — — 5 —

The three count columns each mean something precise:

  • Sections — one of NCERT’s numbered headings. This book prints none, so every row reads 0; its headings are unnumbered titles such as Direct Method and Scatter Diagram.
  • Figures — a numbered figure from the textbook, listed with its printed caption and page in the chapter notes below.
  • Questions — an end-of-chapter exercise as the book prints it.
  • Where the figure load sits — chapters 3 and 4 hold 11 of the book’s 23 verified figures between them; chapters 1, 2, 5 and 7 carry no numbered figures and are built from text and calculation.

Chapter 1: Why Economics? (pp. 1-8)

This opener answers the “why” before any statistics: human wants are unlimited while the resources that satisfy them are limited and scarce and have alternative uses, so scarcity sits behind every economic problem — and statistics enters as the tool for studying consumption, production and distribution.

It carries 4 activities and 7 questions and no numbered figures — the work is concept, not calculation, and a student new to the subject reads it first.

Chapter 2: Collection of Data (pp. 9-21)

Chapter 2 supplies the practical groundwork every later chapter leans on: it separates primary data (first-hand) from secondary data (existing sources), contrasts census surveys with sample surveys, and walks through the survey instruments — questionnaire, personal interviews, mailing questionnaires, telephone interviews and a pilot survey.

It carries 3 activities and 4 questions and no numbered figures; the primary-versus-secondary and census-versus-sample distinctions carry into every later chapter.

Chapter 3: Organisation of Data (pp. 22-39)

Chapter 3 is where raw data becomes usable: it teaches classification and the frequency distribution — how the values of a continuous or discrete variable are grouped into classes with their class frequencies — bringing order to raw data.

The chapter’s 2 numbered figures, the book’s first:

  • Fig. 3.1 “Diagrammatic Presentation of Frequency Distribution of Data.” (p. 29)
  • Fig. 3.2 “** Frequency Curve” (p. 35)

With 8 activities, 11 questions and the book’s first 2 indexed figures, it is the chapter where raw data becomes ordered.

Chapter 4: Presentation of Data (pp. 40-57)

Chapter 4 turns ordered data into something visible: after textual and tabular presentation — with qualitative, quantitative, temporal and spatial classification — it builds every diagram in turn, from the bar diagram through the multiple bar, component bar and pie diagram to the histogram, frequency polygon, frequency curve, ogive and arithmetic line graph.

The chapter’s 9 numbered figures, the visual heart of the book:

  • Fig. 4.1 “** Bar diagram showing male literacy rates of major states of India, 2011. (Literacy rates relate to population aged 7 years and above)” (p. 47)
  • Fig. 4.2 “** Multiple bar (column) diagram showing female literacy rates over two census years 2001 and 2011 by major states of India. (Data Source Table 4.6)” (p. 48)
  • Fig. 4.3 “** Enrolment at primary level in a district of Bihar (Component Bar Diagram)” (p. 48)
  • Fig. 4.4 “Pie diagram for different categories of Indian population according to working status 2011.” (p. 49)
  • Fig. 4.5 “** Histogram for the distribution of 85 daily wage earners in a locality of a town.” (p. 51)
  • Fig. 4.6 “Frequency polygon drawn for the data given in Table 4.9” (p. 52)
  • Fig. 4.7 “** Frequency curve for Table 4.9” (p. 53)
  • Fig. 4.8 “(a): ‘Less than’ and ‘More than’ ogive for data given in Table 4.10” (p. 54)
  • Fig. 4.9 “** Arithmetic line graph for time series data given in Table 4.11” (p. 55)

With 7 activities, 15 questions and 9 indexed figures, it is where a student learns to read a diagram before drawing one.

Chapter 5: Measures of Central Tendency (pp. 58-73)

Chapter 5 is the arithmetic heart of the book: the arithmetic mean is defined as the sum of all observations divided by how many there are, and the chapter teaches three routes to it — the direct method, the assumed mean method and the step deviation method — across ungrouped data, grouped data and discrete series.

It carries 5 activities and 9 questions and no numbered figures — the work here is arithmetic, not diagrams.

Chapter 6: Correlation (pp. 74-89)

Chapter 6 studies the relationship between two variables: a scatter diagram shows at a glance whether the relation is positive, negative, zero or perfect, linear or non-linear, and the chapter then quantifies it with Karl Pearson’s coefficient of correlation and the rank correlation coefficient.

All 7 of the chapter’s figures sit on one page, p. 78:

  • Fig. 6.1 “Positive Correlation”
  • Fig. 6.2 “Negative Correlation”
  • Fig. 6.3 “No Correlation”
  • Fig. 6.4 “Perfect Positive Correlation”
  • Fig. 6.5 “Perfect Negative Correlation”
  • Fig. 6.6 “Positive non-linear relation”
  • Fig. 6.7 “Negative non-linear relation”

With 5 activities, 20 questions and 7 indexed figures, it pairs the visual work of the scatter diagrams with sustained calculation practice.

Chapter 7: Index Numbers (pp. 90-104)

Chapter 7 introduces the index number as a device for measuring relative change across many items at once. It opens with three short cases that show why such a measure is needed, then works through construction and interpretation — the aggregative method and the method of averaging relatives — and the care each formula demands.

With 4 activities, 22 questions and no numbered figures, it is where the book’s formula practice concentrates.

Chapter 8: Use of Statistical Tools (pp. 105-120)

Chapter 8 is the capstone: it takes one sample project from the choice of target group through collection, organisation and presentation of data and data analysis and interpretation to a simplified project report — every earlier step assembled into one worked example.

The chapter’s 5 numbered figures:

  • Fig. 8.1 “Bar diagram” (p. 110)
  • Fig. 8.2 “Bar diagram” (p. 110)
  • Fig. 8.3 “Histogram” (p. 110)
  • Fig. 8.4 “** Pie diagram” (p. 112)
  • Fig. 8.5 “Bar diagram” (p. 113)

It carries 0 activities and 5 indexed figures, and its work runs as a project rather than a question set.

Chapter study pages

Each chapter has a study page on this site with its concepts, figures and exercise guidance. The rows below show each chapter’s current state — Available rows are live and linked, while pages still Drafting or Not yet built stay unlinked until they go live.

Ch. Chapter page
1 Why Economics? (coming soon)
2 Collection of Data (coming soon)
3 Organisation of Data (coming soon)
4 Presentation of Data (coming soon)
5 Measures of Central Tendency (coming soon)
6 Correlation (coming soon)
7 Index Numbers (coming soon)
8 Use of Statistical Tools (coming soon)

How to use the Class 11 Economics NCERT book PDF

The eight chapters are not the same kind of work, so the order matters. This sequence follows the book’s own logic: concepts first, data handling second, calculations third, the project last.

  1. Chapters 1-2 — the concepts. Read Why Economics? for scarcity, then Collection of Data for primary versus secondary data and census versus sample surveys.
  2. Chapters 3-4 — data handling. Learn to organise raw data into frequency distributions, then use Chapter 4’s figures on pp. 47-55 to recognise each diagram type by sight.
  3. Chapter 5 — the arithmetic mean. Practise all three routes: the direct method, the assumed mean method and the step deviation method.
  4. Chapter 6 — correlation. Read the scatter diagrams on p. 78 first, then learn to calculate Karl Pearson’s coefficient and the rank correlation coefficient.
  5. Chapter 7 — index numbers. Practise the aggregative method and the method of averaging relatives until the formulae feel mechanical.
  6. Chapter 8 — the project, last. The sample project reuses every earlier step, so read it only after chapters 1 to 7 are in place.

Match how you revise to the chapter’s kind of work:

Chapter Kind of work Where your effort goes
Ch 1: Why Economics? Reading Grasping scarcity and why statistics exists
Ch 2: Collection of Data Reading Primary vs secondary data; census vs sample
Ch 3: Organisation of Data Classifying Building frequency distributions
Ch 4: Presentation of Data Drawing and reading Recognising bar, pie, histogram, ogive
Ch 5: Measures of Central Tendency Calculating Choosing the right mean method
Ch 6: Correlation Reading then calculating Scatter first, coefficients second
Ch 7: Index Numbers Calculating Applying index-number formulae
Ch 8: Use of Statistical Tools Project work Assembling all steps into one report

For chapter-level detail, the chapter study pages directly above are the next step.

Sources and data verification

This listing is maintained for the 2026-27 academic session using the NCERT textbook information available to us. NCERT remains the authority for confirming the latest edition.

  • The figures and counts on this page describe the NCERT Class 11 Statistics for Economics textbook, chapters 1-8, in the official edition published on ncert.nic.in (chapter files kest101-kest108).
  • This page covers the Statistics for Economics volume only — not the companion Class 11 Economics volume on the Indian economy.
  • The listing is maintained for the current academic session using the NCERT edition available at ncert.nic.in.
  • NCERT settles textbooks, editions and PDFs; CBSE settles curriculum, syllabus and examinations. Textbook contents and the examinable syllabus are not always identical, so check the current official syllabus.

Reference: NCERT Class 11 Economics (Statistics for Economics) textbook, official edition on ncert.nic.in. Figure captions and section titles quoted from the textbook; page references are to the official PDF.

Common questions about this book

How many chapters are in the Class 11 Economics book Statistics for Economics?

The book has 8 chapters, from Why Economics? (p. 1) to Use of Statistical Tools (p. 120). The chapter directory above lists all eight with their page ranges and their activities, figures and questions.

Is the Class 11 Economics Statistics for Economics PDF official and free to download?

Yes. The PDFs are NCERT’s own chapter files, hosted free on ncert.nic.in (kest101-kest108), and every one is linked in the download table near the top of this page.

Which chapter teaches bar diagrams, pie charts, histograms and ogives?

Chapter 4, Presentation of Data (pp. 40-57). Its 9 figures, on pp. 47-55, cover bar, multiple bar and component bar diagrams, a pie diagram, a histogram, a frequency polygon, a frequency curve, ogives and an arithmetic line graph.

Which chapter should I read for the Class 11 Economics project?

Chapter 8, Use of Statistical Tools (pp. 105-120). It works one sample project from the choice of target group through data collection, organisation and presentation, analysis and a simplified project report. Read chapters 1-7 first, because the project reuses their steps.

Why do some chapters show zero figures in the table on this page?

Because those chapters print no numbered figures. Chapters 1, 2, 5 and 7 are built from text and calculation, while the book’s 23 verified figures sit in chapters 3, 4, 6 and 8.

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