Consumer Price Index(Urban) and Consumer Price Index(Rural)

The Consumer Price Index (CPI) is one of the most important economic indicators used to measure inflation at the consumer level. It tracks the average change in prices paid by consumers for a basket of goods and services over time. In India, CPI is classified into two major components based on geographical and demographic segmentation—Consumer Price Index (Urban) and Consumer Price Index (Rural). These indices capture price changes in urban and rural areas separately, reflecting differences in consumption patterns, living costs, and economic conditions. Both indices are compiled and published by the National Statistical Office (NSO) under the Ministry of Statistics and Programme Implementation (MoSPI).
Background and Introduction
Historically, India measured inflation using the Wholesale Price Index (WPI), which focused on price movements at the wholesale level. However, the WPI did not accurately reflect retail price changes experienced by consumers. Recognising this limitation, the Government of India introduced a new series of Consumer Price Indices in January 2011, with a base year of 2012 = 100.
The new series aimed to provide a more comprehensive and representative measure of consumer inflation for policy formulation. The CPI is now published under three categories:
- CPI (Rural)
- CPI (Urban)
- CPI (Combined) (a weighted average of rural and urban indices)
This classification allows policymakers and analysts to identify inflation trends and cost-of-living changes within both rural and urban populations separately.
Concept and Objectives
The Consumer Price Index (Rural) and Consumer Price Index (Urban) measure changes in the prices of goods and services typically consumed by households in rural and urban areas, respectively. The key objectives of these indices are to:
- Assess cost-of-living changes for rural and urban households.
- Measure inflation in different population segments.
- Assist in wage indexation, dearness allowance adjustments, and poverty estimation.
- Guide monetary policy, especially for inflation targeting by the Reserve Bank of India (RBI).
Coverage and Scope
The CPI system covers the entire country, including all States and Union Territories. The index is computed separately for rural and urban sectors to account for variations in consumption habits, income levels, and price structures.
- CPI (Rural) represents households primarily dependent on agriculture and allied sectors.
- CPI (Urban) covers households in towns and cities engaged in non-agricultural occupations such as industry, services, and trade.
The indices are aggregated at three levels: State/UT, Regional, and All-India.
Composition and Weight Structure
The CPI basket consists of goods and services grouped into six major categories. The weights for each category differ between rural and urban indices to reflect distinct expenditure patterns.
Major Group | Weight in CPI (Rural) | Weight in CPI (Urban) | Weight in CPI (Combined) |
---|---|---|---|
Food and Beverages | 54.18% | 36.29% | 45.86% |
Pan, Tobacco and Intoxicants | 3.26% | 1.36% | 2.38% |
Clothing and Footwear | 7.36% | 5.57% | 6.53% |
Housing | 0% | 21.67% | 10.07% |
Fuel and Light | 7.94% | 5.58% | 6.84% |
Miscellaneous | 27.26% | 29.53% | 28.32% |
The above table demonstrates that food accounts for a significantly higher share in the rural CPI basket, while housing and miscellaneous services dominate the urban index. This reflects the lifestyle and expenditure differences between rural and urban households.
Data Collection and Methodology
The CPI (Rural) and CPI (Urban) are computed using the Laspeyres index formula, which measures the percentage change in the cost of purchasing a fixed basket of goods and services between the base period and the current period.
The price data are collected every month through extensive field surveys:
- For rural areas, data are collected from approximately 1,181 villages.
- For urban areas, data are collected from about 1,114 towns/cities.
In total, around 1,114 price collection centres and 1,181 markets are covered. Price information is gathered for around 1,200 commodities, including both goods and services.
The weights used in the calculation are derived from the Consumer Expenditure Survey (2004–05) conducted by the National Sample Survey Office (NSSO), with future revisions planned as new expenditure data become available.
Publication and Frequency
The National Statistical Office (NSO) releases CPI data every month, typically around the 12th of the following month, providing indices for:
- CPI (Rural)
- CPI (Urban)
- CPI (Combined)
- Consumer Food Price Index (CFPI)
The monthly release includes state-wise and All-India data, along with corresponding inflation rates (percentage changes over the previous month and year).
Differences Between CPI (Urban) and CPI (Rural)
The two indices differ primarily in their composition, expenditure patterns, and sensitivity to different categories of goods and services.
Parameter | CPI (Rural) | CPI (Urban) |
---|---|---|
Primary Consumers | Agricultural and rural households | Non-agricultural, urban households |
Major Weight | Food and beverages | Housing and miscellaneous services |
Housing Component | Excluded | Included (21.67%) |
Price Drivers | Agricultural output, monsoon performance, and food prices | Service charges, rent, and fuel costs |
Price Collection Units | Rural markets and village-level data | Urban retail markets and cities |
Volatility | More volatile due to food price fluctuations | Comparatively stable, influenced by service sector inflation |
These differences ensure that CPI accurately captures the cost-of-living variations across India’s diverse population segments.
Importance of CPI (Rural) and CPI (Urban)
Both indices are vital for economic planning, policy formulation, and inflation management.
1. For Policymakers:
- The Reserve Bank of India (RBI) uses CPI (Combined), derived from rural and urban indices, as the official inflation measure for monetary policy and inflation targeting.
- Helps the government in designing price stabilisation and subsidy policies.
2. For Wage and Pension Adjustments:
- CPI is used for calculating Dearness Allowance (DA) and Dearness Relief (DR) for government employees and pensioners, respectively.
- It also serves as a benchmark for wage negotiations in both public and private sectors.
3. For Economic Analysis:
- Provides insights into inflation differentials between rural and urban sectors.
- Aids in assessing the impact of policy measures on different population groups.
4. For Welfare Programmes:
- Facilitates evaluation of poverty alleviation schemes, social security measures, and food subsidy programmes.
Trends and Behaviour
Inflation trends in rural and urban areas often diverge due to differing price dynamics.
- Rural inflation tends to be higher when food and fuel prices surge, as these items dominate the rural consumption basket.
- Urban inflation increases during periods of rising rent, service costs, and fuel prices.
For instance, during monsoon failures or food supply disruptions, rural inflation typically spikes due to sharp increases in vegetable and cereal prices. Conversely, in years of rapid urbanisation and service-sector expansion, the urban index rises faster due to higher demand for housing and transportation.
Limitations of CPI (Rural) and CPI (Urban)
Despite their significance, these indices face certain limitations:
- Static base year (2012) may not fully capture evolving consumption patterns, especially due to changing lifestyles and digital services.
- Data gaps in remote rural areas can affect price accuracy.
- Inadequate representation of new products or technologies such as online services and digital goods.
- Lag in expenditure data updates, as the current weights are based on an older consumption survey.
Efforts are underway to update the base year and revise the weighting pattern using the upcoming Consumer Expenditure Survey (2022–23) to enhance accuracy and relevance.
Relationship with CPI (Combined)
The CPI (Combined) is a weighted average of CPI (Rural) and CPI (Urban), based on their relative population shares (approximately 67% rural and 33% urban). It serves as the headline inflation indicator for national-level analysis and policymaking.
Thus:
CPICombined=(CPIRural×WR)+(CPIUrban×WU)CPI_{Combined} = (CPI_{Rural} \times W_R) + (CPI_{Urban} \times W_U)CPICombined=(CPIRural×WR)+(CPIUrban×WU)
where WRW_RWR and WUW_UWU are the rural and urban population weights, respectively.