UPSC IES ISS Recruitment 2024 – apply for latest vacancy at before the last date. Indian Economic and Statistical Service exam released the notification for IES ISS. Interested candidates can download complete vacancy notification through Meanwhile, know the 2024 UPSC IES ISS vacancy eligibility, salary, and selection process & results last date below.


UPSC Economic and Statistical Service Notification 2024 salary syllabus

Organization Indian Economic and Statistical Service exam
Vacancy name IES ISS
No of vacancy 48 posts
Application start date:  06-04-2023
Application last date: 30 April 2024
Salary Rs. 56,100- 1,77,500/- (Level-10)
Official website
Location type All India govt jobs 2024


UPSC IES ISS 2024 vacancy details:


Post Name Vacancy Qualification
Indian Economic Service (IES) 18 Post-Graduate Degree in Economics/ Applied Economics/ Business Economics/ Econometrics
Indian Statistical Service (ISS) 30 Bachelor’s Degree with Statistics/ Mathematical Statistics/ Applied Statistics as one of the subjects or a Master’s degree in Statistics/ Mathematical Statistics/ Applied Statistics

 Education qualification:


Post education
IES Post Graduate Degree (Economics/ Applied Economics/ Business Economics/ Econometrics
ISS Bachelor’s Degree/ Master’s Degree (Statistics/ Mathematical Statistics/ Applied Statistics

UPSC IES ISS Age limit:


Post Age limit
IES ISS 21- 30 years


Selection process:


Post Selection process
IES ISS Written Exam (1000 Marks)
Interview (200 Marks)



UPSC IES ISS Salary / pay scale

Post salary
IES ISS Rs. 56,100- 1,77,500/- (Level-10)

Basic salary Rs. 56,100- 1,77,500/- (Level-10)
, salary in hand will be 2x of basic salary* including allowances Indian Economic and Statistical Service exam gives best (in the market) salary for 2024 IES ISS Recruitment. Candidates are advised to calculate thoroughly understand the UPSC basic salary and salary in hand and net salary in hand.


UPSC IES ISS 2024 vacancy Application last date * (tentative)


Event Date
Apply Start 10 April 2024
Last Date to Apply 30 April 2024, up to 06:00 pm
Application Form Modify 1-7 May 2024
Exam Date 21 June 2024



UPSC IES ISS Recruitment 2024 Notification links

IES ISS 2024 notification pdf here


Vacancy #Download Notification pdf Application form
IES ISS IES ISS 2022 notification pdf ere here


  IES ISS 2022 notification pdf ere  




Check the UPSC IES exam pattern 2024 as are follows:

Subject Maximum Marks Duration
General English 100 3 hours
General Studies 100 3 hours
General Economics-I 200 3 hours
General Economics-II 200 3 hours
General Economics-II 200 3 hours
Indian Economics 200 3 hours

UPSC ISS Exam Pattern 2023

Check the UPSC ISS exam pattern 2024 as as follows:

Subject Maximum Marks Duration
General English 100 3 hours
General Studies 100 3 hours
Statistics-I(Objective) 200 2 hours
Statistics-II(Objective) 200 2 hours
Statistics-III(Objective) 200 3 hours
Statistics-I(Objective) 200 3 hours

UPSC IES Syllabus

General Economics I Part – A:Theory of Consumer’s Demand, Theory of Production, Theory of Value, Theory of Distribution, Welfare Economics
Part – B: Mathematical Methods in Economics, Statistical and Econometric Methods
General Economics II Economic Thought, Concept of National Income and Social Accounting, Theory of employment, Output, Inflation, Money and 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 and Planning, Federal Finance, Budgeting and Fiscal Policy, Poverty Unemployment and Human Development, Agriculture and Rural Development Strategies, India’s experience with Urbanisation and Migration, Industry, Labour, Foreign Trade, Money and Banking, Inflation

UPSC ISS Syllabus

Statistics I (Objective Type) Probability: Classical & Axiomatic Definition of Probability, Law of total probability, Conditional probability, Bayes’ theorem and applications, Discrete and continuous random variables, Standard discrete & continuous probability distributions, Modes of convergences, Mathematical expectation and conditional expectation, Inversion, uniqueness and continuity theorems, Borel 0-1 law, Kolmogorov’s 0-1 law, Tchebycheff’s and Kolmogorov’s inequalities, Laws of large numbers & central limit theorems.
Statistical Methods: Collection, compilation & presentation of data/charts/diagrams/histogram, Frequency distribution, Measures of location/dispersion/skewness/kurtosis, Bivariate and multivariate data, Association and contingency, Curve fitting and orthogonal polynomials, Bivariate normal distribution, Regression-linear, polynomial, Correlation coefficient, Partial and multiple correlations, Intraclass correlation, Correlation ratio, Standard errors & large sample test, Sampling distributions of sample mean, Non-parametric tests, Order statistics, Concept of Asymptotic relative efficiency.
Numerical Analysis: Finite differences of different orders, Concept of interpolation and extrapolation, Inverse interpolation, Numerical differentiation, Summation of Series, Numerical solutions of differential equations,
Computer application & Data Processing: Basics of Computer, Operations of a computer, Different units of a computer system, Output and peripheral devices, Software, system and application software, Operating systems, Low and High-level languages, RAM, ROM, unit of computer memory, Network – LAN, WAN, internet, intranet, Basics of computer security, Basics of Programming
Statistics II (Objective Type) Linear Models: Theory of linear estimation, Gauss-Markov Linear Models, Error & Estimation Space, Normal Equations, Estimation of error variance, Estimation with correlated observations, Variances and covariances, One way and two-way classifications, Analysis of variance,
Statistical Inference & Hypothesis Testing: Characteristics of a good estimator, Estimation methods, Minimum variance unbiased estimators, Minimum variance bound estimators, Hypothesis testing,
Official Statistics: National and International official statistical system, National Statistical Organization, National Statistical Commission, Index Numbers, Sector Wise Statistics, National Accounts, Population Census, Socio-Economic Indicators, Gender Awareness/Statistics, Important Surveys and Censuses.
Statistics- III
(Descriptive Type)
Sampling Techniques: Concept of population and sample, Need for sampling, Complete enumeration versus sampling, Methodologies in sample surveys by NSSO, Subjective or purposive sampling, Probability sampling or random sampling, Estimation of population mean, Stratified random sampling, Covariance and Variance Function, Ratio, product and regression methods of estimation, Systematic sampling, Sampling with probability proportional to the size, Concept of multistage sampling and its application
Econometrics: Nature of econometrics, General Linear Model (GLM) and its extensions, Ordinary Least Squares (OLS) estimation and prediction, Generalized Least Squares (GLS) estimation and prediction, Heteroscedastic disturbances, pure and mixed estimation, Autocorrelation, its consequences and tests, Theil BLUS procedure, estimation and prediction, Linear regression and stochastic regression, Simultaneous linear equations model and its generalization, Estimation in simultaneous equations model.
Applied Statistics: Index Numbers, Time Series Analysis, Exploratory Time Series analysis, Detailed study of the stationary processes, Discussion (without proof) of estimation of mean, Spectral analysis of the weakly stationary process
(Descriptive Type)
(50% Questions from all subsections below & Candidates need to choose two subsections)
Operations Research and Reliability: Definition & Scope of Operations Research, Transportation and assignment problems, Decision-making in the face of competition, Analytical structure of inventory problems, Queuing models, Sequencing and scheduling problems, Branch and Bound method, Replacement problems, PERT and CPM – basic concepts, Notions of ageing, Reliability estimation based on failure times.
Demography and Vital Statistics: Sources of demographic data, Complete life table and its main features, UN model life tables, Measurement of Fertility, Measurement of Mortality, Internal migration and its measurement, Projection method including logistic curve fitting
Survival Analysis & Clinical Trial: Concept of time, Life tables, failure rate, mean residual life, Estimation of the survival function, Two-sample problem, Semi-parametric regression for failure rate, Competing risk model, Data management, Design of clinical trials, Reporting and analysis
Quality Control: Statistical process and product control, General theory and review of control charts, Acceptance sampling plans for attributes inspection.
Multivariate Analysis: Multivariate normal distribution and its properties, Maximum likelihood estimators, Wishart matrix, Hotelling’s T2 and its sampling distribution, Classification problem, Principal components, dimension reduction.
Design and Analysis of Experiments: Analysis of variance for one way and two-way classifications, Need for design of experiments, Basic principle of experimental design, Complete analysis and layout of completely randomized design, Missing plot technique, Split Plot Design and Strip Plot Design, Factorial experiments, Analysis of covariance, Analysis of non-orthogonal data, Analysis of missing data.
Computing with C and R: Basics of C, Control Statements, Functions, Structure, Files in C, Statistics Methods and techniques in R.
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