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The percentage of the population living below the poverty line in India decreased to 22% in 2011-12 from 37% in 2004-05, according to data released by the Planning Commission in July 2013. This blog presents data on recent poverty estimates and goes on to provide a brief history of poverty estimation in the country. National and state-wise poverty estimates The Planning Commission estimates levels of poverty in the country on the basis of consumer expenditure surveys conducted by the National Sample Survey Office (NSSO) of the Ministry of Statistics and Programme Implementation.
The current methodology for poverty estimation is based on the recommendations of an Expert Group to Review the Methodology for Estimation of Poverty (Tendulkar Committee) established in 2005. The Committee calculated poverty levels for the year 2004- 05. Poverty levels for subsequent years were calculated on the basis of the same methodology, after adjusting for the difference in prices due to inflation. Table 1 shows national poverty levels for the last twenty years, using methodology suggested by the Tendulkar Committee. According to these estimates, poverty declined at an average rate of 0.74 percentage points per year between 1993-94 and 2004-05, and at 2.18 percentage points per year between 2004-05 and 2011-12. Table 1: National poverty estimates (% below poverty line) (1993 - 2012)
Year |
Rural |
Urban |
Total |
1993 – 94 |
50.1 |
31.8 |
45.3 |
2004 – 05 |
41.8 |
25.7 |
37.2 |
2009 – 10 |
33.8 |
20.9 |
29.8 |
2011 – 12 |
25.7 |
13.7 |
21.9 |
Source: Press Note on Poverty Estimates, 2011 – 12, Planning Commission; Report of the Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission; PRS. State-wise data is also released by the NSSO. Table 2 shows state-wise poverty estimates for 2004-05 and 2011-12. It shows that while there is a decrease in poverty for almost all states, there are wide inter-state disparities in the percentage of poor below the poverty line and the rate at which poverty levels are declining. Table 2: State-wise poverty estimates (% below poverty line) (2004-05, 2011-12)
State |
2004-05 |
2011-12 |
Decrease |
Andhra Pradesh |
29.9 |
9.2 |
20.7 |
Arunachal Pradesh |
31.1 |
34.7 |
-3.6 |
Assam |
34.4 |
32 |
2.4 |
Bihar |
54.4 |
33.7 |
20.7 |
Chhattisgarh |
49.4 |
39.9 |
9.5 |
Delhi |
13.1 |
9.9 |
3.2 |
Goa |
25 |
5.1 |
19.9 |
Gujarat |
31.8 |
16.6 |
15.2 |
Haryana |
24.1 |
11.2 |
12.9 |
Himachal Pradesh |
22.9 |
8.1 |
14.8 |
Jammu and Kashmir |
13.2 |
10.4 |
2.8 |
Jharkhand |
45.3 |
37 |
8.3 |
Karnataka |
33.4 |
20.9 |
12.5 |
Kerala |
19.7 |
7.1 |
12.6 |
Madhya Pradesh |
48.6 |
31.7 |
16.9 |
Maharashtra |
38.1 |
17.4 |
20.7 |
Manipur |
38 |
36.9 |
1.1 |
Meghalaya |
16.1 |
11.9 |
4.2 |
Mizoram |
15.3 |
20.4 |
-5.1 |
Nagaland |
9 |
18.9 |
-9.9 |
Odisha |
57.2 |
32.6 |
24.6 |
Puducherry |
14.1 |
9.7 |
4.4 |
Punjab |
20.9 |
8.3 |
12.6 |
Rajasthan |
34.4 |
14.7 |
19.7 |
Sikkim |
31.1 |
8.2 |
22.9 |
Tamil Nadu |
28.9 |
11.3 |
17.6 |
Tripura |
40.6 |
14.1 |
26.5 |
Uttar Pradesh |
40.9 |
29.4 |
11.5 |
Uttarakhand |
32.7 |
11.3 |
21.4 |
West Bengal |
34.3 |
20 |
14.3 |
All Inda |
37.2 |
21.9 |
15.3 |
Source: Review of Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission, Government of India; Press Note on Poverty Estimates, 2011 – 12 (2013) Planning Commission, Government of India; PRS. Note: A negative sign before the number in column four (decrease) indicates an increase in percentage of population below the poverty line. History of poverty estimation in India Pre independence poverty estimates: One of the earliest estimations of poverty was done by Dadabhai Naoroji in his book, ‘Poverty and the Un-British Rule in India’. He formulated a poverty line ranging from Rs 16 to Rs 35 per capita per year, based on 1867-68 prices. The poverty line proposed by him was based on the cost of a subsistence diet consisting of ‘rice or flour, dhal, mutton, vegetables, ghee, vegetable oil and salt’. Next, in 1938, the National Planning Committee (NPC) estimated a poverty line ranging from Rs 15 to Rs 20 per capita per month. Like the earlier method, the NPC also formulated its poverty line based on ‘a minimum standard of living perspective in which nutritional requirements are implicit’. In 1944, the authors of the ‘Bombay Plan’ (Thakurdas et al 1944) suggested a poverty line of Rs 75 per capita per year. Post independence poverty estimates: In 1962, the Planning Commission constituted a working group to estimate poverty nationally, and it formulated separate poverty lines for rural and urban areas – of Rs 20 and Rs 25 per capita per year respectively. VM Dandekar and N Rath made the first systematic assessment of poverty in India in 1971, based on National Sample Survey (NSS) data from 1960-61. They argued that the poverty line must be derived from the expenditure that was adequate to provide 2250 calories per day in both rural and urban areas. This generated debate on minimum calorie consumption norms while estimating poverty and variations in these norms based on age and sex. Alagh Committee (1979): In 1979, a task force constituted by the Planning Commission for the purpose of poverty estimation, chaired by YK Alagh, constructed a poverty line for rural and urban areas on the basis of nutritional requirements. Table 3 shows the nutritional requirements and related consumption expenditure based on 1973-74 price levels recommended by the task force. Poverty estimates for subsequent years were to be calculated by adjusting the price level for inflation. Table 3: Minimum calorie consumption and per capita consumption expenditure as per the 1979 Planning Commission task force on poverty estimation
Area | Calories | Minimum consumption expenditure (Rs per capita per month) |
Rural | 2400 | 49.1 |
Urban | 2100 | 56.7 |
Source: Report of the Expert Group on Estimation of Proportion and Number of Poor, 1993, Perspective Planning Division, Planning Commission; PRS Lakdawala Committee (1993): In 1993, an expert group constituted to review methodology for poverty estimation, chaired by DT Lakdawala, made the following suggestions: (i) consumption expenditure should be calculated based on calorie consumption as earlier; (ii) state specific poverty lines should be constructed and these should be updated using the Consumer Price Index of Industrial Workers (CPI-IW) in urban areas and Consumer Price Index of Agricultural Labour (CPI-AL) in rural areas; and (iii) discontinuation of ‘scaling’ of poverty estimates based on National Accounts Statistics. This assumes that the basket of goods and services used to calculate CPI-IW and CPI-AL reflect the consumption patterns of the poor. Tendulkar Committee (2009): In 2005, another expert group to review methodology for poverty estimation, chaired by Suresh Tendulkar, was constituted by the Planning Commission to address the following three shortcomings of the previous methods: (i) consumption patterns were linked to the 1973-74 poverty line baskets (PLBs) of goods and services, whereas there were significant changes in the consumption patterns of the poor since that time, which were not reflected in the poverty estimates; (ii) there were issues with the adjustment of prices for inflation, both spatially (across regions) and temporally (across time); and (iii) earlier poverty lines assumed that health and education would be provided by the State and formulated poverty lines accordingly.[1] It recommended four major changes: (i) a shift away from calorie consumption based poverty estimation; (ii) a uniform poverty line basket (PLB) across rural and urban India; (iii) a change in the price adjustment procedure to correct spatial and temporal issues with price adjustment; and (iv) incorporation of private expenditure on health and education while estimating poverty. The Committee recommended using Mixed Reference Period (MRP) based estimates, as opposed to Uniform Reference Period (URP) based estimates that were used in earlier methods for estimating poverty.[2] It based its calculations on the consumption of the following items: cereal, pulses, milk, edible oil, non-vegetarian items, vegetables, fresh fruits, dry fruits, sugar, salt & spices, other food, intoxicants, fuel, clothing, footwear, education, medical (non-institutional and institutional), entertainment, personal & toilet goods, other goods, other services and durables. The Committee computed new poverty lines for rural and urban areas of each state. To do this, it used data on value and quantity consumed of the items mentioned above by the population that was classified as poor by the previous urban poverty line. It concluded that the all India poverty line was Rs 446.68 per capita per month in rural areas and Rs 578.80 per capita per month in urban areas in 2004-05. The following table outlines the manner in which the percentage of population below the poverty line changed after the application of the Tendulkar Committee’s methodology. Table 4: Percentage of population below poverty line calculated by the Lakdawala Committee and the Tendulkar Committee for the year 2004-05
Committee |
Rural |
Urban |
Total |
Lakdawala Committee |
28.3 |
25.7 |
27.5 |
Tendulkar Committee |
41.8 |
27.5 |
37.2 |
Source: Report of the Expert Group on Estimation of Proportion and Number of Poor, 1993, Perspective Planning Division, Planning Commission; Report of the Expert Group to Review the Methodology for Estimation of Poverty, 2009, Planning Commission; PRS The Committee also recommended a new method of updating poverty lines, adjusting for changes in prices and patterns of consumption, using the consumption basket of people close to the poverty line. Thus, the estimates released in 2009-10 and 2011-12 use this method instead of using indices derived from the CPI-AL for rural areas and CPI-IW for urban areas as was done earlier. Table 5 outlines the poverty lines computed using the Tendulkar Committee methodology for the years 2004-05, 2009-10 and 2011-12. Table 5: National poverty lines (in Rs per capita per month) for the years 2004-05, 2009-10 and 2011-12
Year |
Rural |
Urban |
2004-05 |
446.7 |
578.8 |
2009-10 |
672.8 |
859.6 |
2011-12 |
816.0 |
1000.0 |
Source: Report of the Expert Group to Review the Methodology for Estimation of Poverty (2009) Planning Commission; Poverty Estimates 2009-10 and Poverty Estimates 2011-12, Planning Commission; PRS Rangarajan Committee: In 2012, the Planning Commission constituted a new expert panel on poverty estimation, chaired by C Rangarajan with the following key objectives: (i) to provide an alternate method to estimate poverty levels and examine whether poverty lines should be fixed solely in terms of a consumption basket or if other criteria are also relevant; (ii) to examine divergence between the consumption estimates based on the NSSO methodology and those emerging from the National Accounts aggregates; (iii) to review international poverty estimation methods and indicate whether based on these, a particular method for empirical poverty estimation can be developed in India, and (iv) to recommend how these estimates of poverty can be linked to eligibility and entitlements under the various schemes of the Government of India. The Committee is expected to submit its report by 2014.
[1] While private expenditure on education and health was covered in the base year 1973-74, no account was taken of either the increase in the proportion of these in total expenditure over time or of their proper representation in available price indices.
[2] Under the URP method, respondents are asked to detail consumption over the previous 30 days; whereas under the MRP method five low-frequency items (clothing, footwear, durables, education and institutional health expenditure) are surveyed over the previous 365 days, and all other items over the previous 30 days.
India’s urban population has grown by 32% from 2001 to 2011 as compared to 18% growth in total population of the country.[1] As per Census 2011, 31% of the country’s population (377 million people) live in cities, and contribute to 63% of the country’s GDP.[2] The urban population is projected to grow up to 600 million by 2031.2 With increasing urban population, the need for providing better infrastructure and services in cities is increasing.[3] The government has introduced several schemes to address different urban issues. These include the Atal Mission for Rejuvenation and Urban Transformation (AMRUT), Smart Cities Mission, Heritage City Development and Augmentation Yojana (HRIDAY), Pradhan Mantri Awas Yojana – Housing for All (Urban) (PMAY-U), and Swachh Bharat Mission (Urban).
Last week the Ministry of Urban Development released the next batch of winners under the Smart Cities Mission.[4] This takes the number of smart cities to 90. The government has also announced a few policies and released data indicators to help with the implementation of the urban schemes. In light of all this, we discuss how the new schemes are changing the mandate of urban development, the fiscal challenge of implementing such schemes, and the policies that are trying to address some of these challenges.
Urbanisation in India
The Jawaharlal Nehru National Urban Renewal Mission (JnNURM), launched in 2005, was one of the first urban development schemes implemented by the central government. Under JnNURM, the central government specified certain mandatory and optional reforms for cities, and provided assistance to the state governments and cities that were linked to the implementation of these reforms. JnNURM focused on improving urban infrastructure and service delivery, community participation, and accountability of city governments towards citizens.
In comparison, the new urban schemes move beyond the mandate that was set by JnNURM. While AMRUT captures most of the objectives under JnNURM, the other schemes seek to address issues around sanitation (through Swachh Bharat), affordable housing (through PMAY-U), and technology innovation (through Smart Cities). Further, the new schemes seek to decentralize the planning process to the city and state level, by giving them more decision making powers.2 So, while earlier, majority of the funding came from the central and state governments, now, a significant share of the funding needs to be raised by the cities themselves.
For example, under the Smart Cities Mission, the total cost of projects proposed by the 60 smart cities (winners from the earlier rounds) is Rs 1.3 lakh crore.[5] About 42% of this amount will come from central and state funding towards the Mission, and the rest will be raised by the cities.[6]
The new schemes suggest that cities may raise these funds through: (i) their own resources such as collection of user fees, land monetization, property taxes, etc., (ii) finance mechanisms such as municipal bonds, (iii) leveraging borrowings from financial institutions, and (iv) the private sector through Public Private Partnerships (PPPs).[7]
In 2011, an Expert Committee on Indian Urban Infrastructure and Services (HPEC) had projected that creation of the required urban infrastructure would translate into an investment of Rs 97,500 crore to Rs 1,95,000 crore annually.[8] The current urban schemes are investing around Rs 32,500 crore annually.
Financial capacity of cities
Currently, the different sources of revenue that municipal corporations have access to include: (i) tax revenue (property tax, tax on electricity, toll tax, entertainment tax), (ii) non-tax revenue (user charges, building permission fees, sale and hire charges), (iii) grants-in-aid (from state and central governments), and (iv) debt (loans borrowed from financial institutions and banks, and municipal bonds).
While cities are now required to raise more financing for urban projects, they do not have the required fiscal and technical capacity.8,[9] The HPEC had observed that cities in India are among the weakest in the world, both in terms of capacity to raise resources and financial autonomy. Even though cities have been getting higher allocations from the centre and states, their own tax bases are narrow.8 Further, several taxes that cities can levy are still mandated by the state government. Because of their poor governance and financial situation, cities also find it difficult to access external financing.8,7
In order to help cities improve their finances, the government has introduced a few policies, and released a few indicators. Some of these are discussed below:
Policy proposals and data indicators
Value Capture Financing (VCF): The VCF policy framework was introduced by the Ministry of Urban Development in February 2017.[10] VCF is a principle that states that people benefiting from public investments in infrastructure should pay for it. Currently when governments invest in roads, airports and industries in an area, private property owners in that area benefit from it. However, governments recover only a limited value from such investments, constraining their ability to make further public investments elsewhere. VCF helps in capturing a part of the increment in the value of land due to such investments, and use it to fund new infrastructure projects.
The different instruments of VCF include: land value tax, fee for changing land use, betterment levy, development charges, transfer of development rights, and land pooling systems.10 For example, Karnataka uses certain value capture methods to fund its mass transit projects. The Mumbai Metropolitan Region Development Authority (MMRDA), and City and Industrial Development Corporation Limited (CIDCO) have used betterment levy (tax levied on land that has gained in value because of public infrastructure investments) to finance infrastructure projects.
Municipal bonds: Municipal bonds are bonds issued by urban local bodies (municipal corporations or entities owned by municipal bodies) to raise money for financing specific projects such as infrastructure projects. The Securities and Exchange Board of India regulations (2015) regarding municipal bonds provide that, to issue such bonds, municipalities must: (i) not have negative net worth in any of the three preceding financial years, and (ii) not have defaulted in any loan repayments in the last one year.[11] Therefore, a city’s performance in the bond market depends on its fiscal performance. One of the ways to determine a city’s financial health is through credit ratings.
Credit rating of cities: In September 2016, the Ministry of Urban Development started assigning cities with credit ratings.[12] These credit ratings were assigned based on assets and liabilities of the cities, revenue streams, resources available for capital investments, accounting practices, and other governance practices.
Of the total 20 ratings ranging from AAA to D, BBB– is the ‘Investment Grade’ rating and cities rated below BBB– need to undertake necessary interventions to improve their ratings for obtaining positive response to the Municipal Bonds to be issued. By March 2017, 94 cities were assigned credit ratings, 55 of which got ‘investment grade’ ratings.[13]
Credit ratings indicate what projects might be more lucrative for investments. This, in turn, helps investors decide where to invest and determine the terms of such investments (based on the expected returns).
Earlier this month, the Pune Municipal Corporation raised Rs 200 crore through the sale of municipal bonds, to finance water supply projects under the Smart Cities Mission.[14] The city had received an AA+ credit rating (second highest rating) in the recent credit rankings assigned by the central government.
Other than credit ratings, the Ministry of Urban Development has also come up with other data indicators around cities such as the Swachh Bharat rankings, and the City Liveability Index (measuring mobility, access to healthcare and education, employment opportunities, etc). These rankings seek to foster a sense of competition across cities, and also help them map their performances year on year.
Some financing mechanisms, such as municipal bonds, have been around in India for the last two decades, but cities haven’t been able to make much use of them. It remains to be seen whether the introduction of indicators such as credit ratings helps the municipal bond market take off. While these mechanisms may improve the finances of cities, the question is would more funding solve the cities’ problems. Or would it require municipal government to take a different approach to problem solving.
[1] Census of India, 2011.
[2] Mission Statement and Guidelines, Smart Cities, Ministry of Urban Development, June 2015, http://smartcities.gov.in/writereaddata/SmartCityGuidelines.pdf.
[3] Report on Indian Urban Infrastructure and Services, March, 2011, The High Powered Expert Committee for estimating the investment requirements for urban infrastructure services, http://icrier.org/pdf/FinalReport-hpec.pdf.
[4] “30 more smart cities announced; takes the total to 90 so far”, Press Information Bureau, Ministry of Urban Development, June 23, 2017.
[5] Smart Cities Mission, Ministry of Urban Development, last accessed on June 30, 2017, http://smartcities.gov.in/content/.
[6] Smart City Plans, Last accessed in June 2017.
[7] “Financing of Smart Cities”, Smart Cities Mission, Ministry of Urban Development, http://smartcities.gov.in/upload/uploadfiles/files/Financing%20of%20Smart%20Cities.pdf.
[8] “Report on Indian Urban Infrastructure and Services”, March, 2011, The High Powered Expert Committee for estimating the investment requirements for urban infrastructure services, http://icrier.org/pdf/FinalReport-hpec.pdf.
[9] Fourteenth Finance Commission, Ministry of Finance, February 2015, http://finmin.nic.in/14fincomm/14fcrengVol1.pdf.
[10] Value Capture Finance Policy Framework, Ministry of Urban Development, February 2017, http://smartcities.gov.in/upload/5901982d9e461VCFPolicyFrameworkFINAL.pdf.
[11] Securities and Exchange Board of India (Issue and Listing of Debt Securities by Municipalities) Regulations, 2015, Securities and Exchange Board of India, July 15, 2015, http://www.sebi.gov.in/sebi_data/attachdocs/1436964571729.pdf.
[12] “Credit rating of cities under urban reforms begins”, Press Information Bureau, Ministry of Urban Development, September 6, 2016.
[13] “Credit Rating of Urban Local Bodies gain Momentum”, Press Information Bureau, Ministry of Urban Development, March 26, 2017.
[14] “Pune civic body raises Rs200 crore via municipal bonds”, LiveMint, June 19, 2017, http://www.livemint.com/Money/JOOzaSTKnC6k1EZGeFh8LJ/Pune-civic-body-raises-Rs200-crore-via-municipal-bonds.html.