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UPSC IES ISS Syllabus 2026, Exam Pattern
1
UPSC Indian Statistical Service Statistics-I Exam - Hindi80 questions • 180 mins • 200 marks
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UPSC Indian Statistical Service Statistics-I Exam - English80 questions • 180 mins • 200 marks
Free Test →Free Important Questions
UPSC Ies/indian Statistical Service 2026 Exam Free Online Question Bank
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UPSC IES ISS Combo Packages
We Launches Combo Offers ! with Heavy Discount and Cost Saving Prices. Combo Packages includes - Online Mock Test Series + Important Questions or MCQs + Previous Year Papers with Answer.
Combo Package
UPSC IES ISS
Combo - 1 (Hindi)
1. Online Mock Test Series in Hindi = 10 Tests.
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Combo Package
UPSC IES ISS
Combo - 2 (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
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Combo Package
UPSC IES ISS
Combo - 3 (English)
1. Online Mock Test Series in English = 15 Tests.
2. Question Bank - 1300 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
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Combo Package
UPSC IES ISS
Combo - 4 (Hindi)
1. Online Mock Test Series in Hindi = 10 Tests.
2. Question Bank - 800 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in Hindi.
5. 1000 (+) GK MCQ with Answer PDF Book in Hindi.
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5. 1000 (+) GK MCQ with Answer PDF Book in Hindi.
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Combo Package
UPSC IES ISS
Combo - 5 (English)
1. Online Mock Test Series in English = 15 Tests.
2. Question Bank - 1300 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1300 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
₹651₹721
Combo Package
UPSC IES ISS
Combo - 6 (Hindi)
1. Online Mock Test Series in Hindi = 10 Tests.
2. Question Bank - 800 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of UPSC IES ISS (800 MCQ) PDF Format in Hindi.
5. 1500 (+) Current Affairs MCQ with Answer PDF in Hindi.
6. 1000 (+) GK MCQ with Answer PDF Book in Hindi.
2. Question Bank - 800 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of UPSC IES ISS (800 MCQ) PDF Format in Hindi.
5. 1500 (+) Current Affairs MCQ with Answer PDF in Hindi.
6. 1000 (+) GK MCQ with Answer PDF Book in Hindi.
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Combo Package
UPSC IES ISS
Combo - 7 (English)
1. Online Mock Test Series in English = 15 Tests.
2. Question Bank - 1300 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of UPSC IES ISS (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1300 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of UPSC IES ISS (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
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UPSC IES ISS Syllabus 2026, Exam Pattern
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UPSC IES/Indian Statistical Service Syllabus 2026, Exam Pattern, Exam Date 2026
Detail Information about UPSC has published notification 2026 for the recruitment of IES/ISS vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
UPSC IES ISS Syllabus 2026 - Overview
UPSC IES ISS Syllabus 2026 - Overview
| Origination Name | Union Public Service Commission(UPSC) |
| Name of Post | Indian Economic Service (IES)/Indian Statistical Service (ISS) |
| Total Post | 44 |
| Application Mode | Online |
| Category | Syllabus and Exam Pattern |
| Official Website | upsconline.nic.in |
UPSC IES ISS Syllabus 2026
General Economics I : Theory of Consumer’s Demand, Theory of Production, Welfare Economic, Theory of Value, Theory of Distribution, Quantitative Methods in Economics.
General Economics II : Economic Thought, the Concept of National Income and Social Accounting, Theory of Employment, Money & Finance, Financial and Capital Market, Economic growth and development, International Economics, Balance of Payments, Global Institutions.
General Economics III : Public Finance, Environmental Economics, Industrial Economics, State, market, and planning.
Indian Economics : History of development & Planning, Federal Finance, Budgeting, Poverty, unemployment, and Human Development, Agriculture, The strategy of Industrial development, Labour, Foreign Trade, Money and Banking, Inflation.
UPSC ISS Syllabus 2026
General Studies : Current Events -National & International, Indian Geography, Polity & Governance, Indian History, Indian Polity, Environmental Studies, Indian Constitution, Science & Technology, etc.
General English : Passages, Precise Writing, Essays, Comprehension, Antonyms, Synonyms, Letter Writing etc.
Statistics-I :
(i) Probability:
Classical and axiomatic definitions of Probability and consequences. Law of total probability, Conditional probability, Bayes' theorem and applications. Discrete and continuous random variables. Distribution functions and their properties.
Standard discrete and continuous probability distributions - Bernoulli, Uniform, Binomial, Poisson, Geometric, Rectangular, Exponential, Normal, Cauchy, Hyper geometric, Multinomial, Laplace, Negative binomial, Beta, Gamma, Lognormal. Random vectors, Joint and marginal distributions, conditional distributions, Distributions of functions of random variables. Modes of convergences of sequences of random variables - in distribution, in probability, with probability one and in mean square. Mathematical expectation and conditional expectation. Characteristic function, moment and probability generating functions, Inversion, uniqueness and continuity theorems. Borel 0-1 law, Kolmogorov's 0-1 law. Tchebycheff's and Kolmogorov's inequalities. Laws of large numbers and central limit theorems for independent variables.
(ii) Statistical Methods:
Collection, compilation and presentation of data, charts, diagrams and histogram. Frequency distribution. Measures of location, dispersion, skewness and kurtosis. Bivariate and multivariate data. Association and contingency. Curve fitting and orthogonal polynomials. Bivariate normal distribution. Regression-linear, polynomial. Distribution of the correlation coefficient, Partial and multiple correlation, Intraclass correlation, Correlation ratio.
Standard errors and large sample test. Sampling distributions of sample mean, sample variance, t, chi-square and F; tests of significance based on them, Small sample tests.
Non-parametric tests-Goodness of fit, sign, median, run, Wilcoxon, Mann-Whitney, WaldWolfowitz and Kolmogorov-Smirnov. Order statistics-minimum, maximum, range and median. Concept of Asymptotic relative efficiency.
(iii) Numerical Analysis:
Finite differences of different orders: A, E and D operators, factorial representation of a polynomial, separation of symbols, sub-division of intervals, differences of zero. Concept of interpolation and extrapolation: Newton Gregory's forward and backward interpolation formulae for equal intervals, divided differences and their properties, Newton's formula for divided difference, Lagrange’s formula for unequal intervals, central difference formula due to Gauss, Sterling and Bessel, concept of error terms in interpolation formula. Inverse interpolation: Different methods of inverse interpolation.
Numerical differentiation: Trapezoidal, Simpson’s one-third and three-eight rule and Waddles rule.
Summation of Series: Whose general term (i) is the first difference of a function (ii) is in geometric progression.
Numerical solutions of differential equations: Euler's Method, Milne’s Method, Picard’s Method and Runge-Kutta Method.
(iv) Computer application and Data Processing:
Basics of Computer: Operations of a computer, Different units of a computer system like central processing unit, memory unit, arithmetic and logical unit, input unit, output unit etc., Hardware including different types of input, output and peripheral devices, Software, system and application software, number systems, Operating systems, packages and utilities, Low and High level languages, Compiler, Assembler, Memory – RAM, ROM, unit of computer memory (bits, bytes etc.), Network – LAN, WAN, internet, intranet, basics of computer security, virus, antivirus, firewall, spyware, malware etc.
Basics of Programming: Algorithm, Flowchart, Data, Information, Database, overview of different programming languages, frontend and backend of a project, variables, control structures, arrays and their usages, functions, modules, loops, conditional statements, exceptions, debugging and related concepts.
Statistics-II :
(i) Linear Models:
Theory of linear estimation, Gauss-Markov linear models, estimable functions, error and estimation space, normal equations and least square estimators, estimation of error variance, estimation with correlated observations, properties of least square estimators, generalized inverse of a matrix and solution of normal equations, variances and covariances of least square estimators. One way and two-way classifications, fixed, random and mixed effects models. Analysis of variance (two-way classification only), multiple comparison tests due to Tukey, Scheffe and Student-Newmann-Keul-Duncan.
(ii) Statistical Inference and Hypothesis Testing:
Characteristics of good estimator. Estimation methods of maximum likelihood, minimum chi-square, moments and least squares. Optimal properties of maximum likelihood estimators. Minimum variance unbiased estimators. Minimum variance bound estimators.
Cramer-Rao inequality. Bhattacharya bounds. Sufficient estimator. factorization theorem.
Complete statistics. Rao-Blackwell theorem. Confidence interval estimation. Optimum confidence bounds. Resampling, Bootstrap and Jacknife.
Hypothesis testing: Simple and composite hypotheses. Two kinds of error. Critical region.
Different types of critical regions and similar regions. Power function. Most powerful and uniformly most powerful tests. Neyman-Pearson fundamental lemma. Unbiased test.
Randomized test. Likelihood ratio test. Wald's SPRT, OC and ASN functions. Elements of decision theory.
(iii) Official Statistics:
National and International official statistical system Official Statistics: (a) Need, Uses, Users, Reliability, Relevance, Limitations, Transparency, its visibility (b) Compilation, Collection, Processing, Analysis and Dissemination, Agencies Involved, Methods
National Statistical Organization: Vision and Mission, NSSO and CSO; roles and responsibilities; Important activities, Publications etc.
National Statistical Commission: Need, Constitution, its role, functions etc; Legal Acts/ Provisions/ Support for Official Statistics; Important Acts Index Numbers: Different Types, Need, Data Collection Mechanism, Periodicity, Agencies Involved, Uses Sector Wise Statistics: Agriculture, Health, Education, Women and Child etc. Important Surveys & Census, Indicators, Agencies and Usages etc.
National Accounts: Definition, Basic Concepts; issues; the Strategy, Collection of Data and Release.
Population Census: Need, Data Collected, Periodicity, Methods of data collection, dissemination, Agencies involved.
Misc: Socio Economic Indicators, Gender Awareness/Statistics, Important Surveys and Censuses.
Statistics-III : Sampling Techniques, Estimation of Population, Econometrics, Applied Statistics, Time Series Analysis, Fourier Transform etc.
Statistics-IV : Operations Research and Reliability, Branch and Bound Method, PERT and CPM, Exponential Distributions, Demography and Vital Statistics, Survival Analysis and Clinical Trial, Data Management, Quality Control, Multivariate Analysis, Design and Analysis of Experiments, Computing with C and R etc.
UPSC IES/Indian Statistical Service Exam Pattern 2026
ISS Exam
1. Statistics I & II will be of Objective Type Questions (80 questions with maximum marks of 200 in each paper) to be attempted in 120 minutes.
2. Statistics III and IV will be of Descriptive Type having Short Answer/ Small Problems Questions (50%) and Long Answer and Comprehension problem questions (50%).
3. At least one Short Answer and One Long Answer Question from each section are compulsory.
4. In Statistics-IV, an equal number of questions i.e. 50% weightage from all the sub-sections below, and candidates have to choose any two subsections and answer.
5. The papers on General English and General Studies will be of subjective type.
Negative Marking : 0.33
| Subject | No.of Question | Total Marks | Durations |
| General English | - | 100 | 3 Hours |
| General Studies | - | 100 | 3 Hours |
| Statistics-I (Objective) | 80 | 200 | 2 Hours |
| Statistics-II (Objective) | 80 | 200 | 2 Hours |
| Statistics-III (Descriptive) | - | 200 | 3 Hours |
| Statistics-IV (Descriptive) | - | 200 | 3 Hours |
IES Exam
| Subject | Total Marks | Durations |
| General English | 100 | 3 Hours |
| General Studies | 100 | 3 Hours |
| Economics-I | 200 | 3 Hours |
| Economics-II | 200 | 3 Hours |
| Economics-III | 200 | 3 Hours |
| Indian Economics | 200 | 3 Hours |
UPSC IES ISS Exam Date 2026 : 19th to 21st June 2026
Starting Date of Application Form : 11th February 2026
Last Date of Application Form : 03rd March 2026
Total Post : 44
FAQs
UPSC Ies/indian Statistical Service 2026 Exam Syllabus Frequently Asked Questions (FAQ's)
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