Iuc Book_22!03!12-Soft Bound Isbn
-
Upload
garima-jain -
Category
Documents
-
view
218 -
download
0
Transcript of Iuc Book_22!03!12-Soft Bound Isbn
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
1/98
Urban India 2011: Evidence
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
2/98
ISBN : 978-93-5067-451-2 | Original publication: November 22, 2011. Second Edition: December 22, 2011. Third Edition: January 21, 2012
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
3/98
Urban India 2011: Evidence
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
4/98
URBAN INDI A 20 11: EVIDENCE
We would like to thank the several contributing authors in particular:Professor Martha Chen of Harvard University and Dr. GovindanRaveendran for generously sharing their analysis of 1999-2009 NSSdata on urban employment; Somik Lall and the World Bank team
working on the India Urbanisation Review for sharing their resultson Indias economic geography and in particular the distributionof employment. Dr. Jyotsna Jha and Madhusudan B.V. of the Centre forBudgetary and Policy Studies, Bangalore provided intriguing data onMunicipal Finance.
IUC AUTHOR AND PR ODUCTION TEAMAromar Revi, IIHSCharis Idicheria, IIHSGarima Jain, IIHSGeetika Anand, IIHSDr. H.S. Sudhira, IIHS
Dr. Jessica Seddon, IIHSKavita Wankhade, IIHSM.K. Rashmi, IIHSPriyadarshini Shetty, IIHSRevati Dhoble, CDF, IFMRShashikala Gowda, IIHSShriya Anand, IIHSSujatha Srinivasan, CDF, IFMR
PH OTO CREDITS:
Cover Image - Red Fort : F.S. ShazuddinUrban Dynamics: IIHS Geospatial LabEconomic Geography - Gurgaoun High Rises: F.S. ShazuddinMigration - Old Delhi Railway Station: Kavita Wankhade, IIHSUrban Poverty & Livelihoods - Okhla: Garima Jain, IIHS
Social Safety Nets - Abul Fazal Enclave: Garima Jain, IIHSUrban Infrastructure - Metro Gurgaon: F.S. ShazuddinUrban Finance - Public Investments: Himanshu Dhandha, IIHS
COPYRIGHT AND USE
All the content created by the author(s) for the purpose of the IUC is copyrighted.
For permission to reproduce copyrighted materials, contact the author(s) of the copyright, noted as the "Source" on each page. You are free to share, to copy, distribute and transmit the work under the following conditions:
Attribution -You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you / or your use of the work).
Non-commercial -You shall not use this work for commercial purposes.With the understanding that:
Public Domain -Where the work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license.
Other Rights-In no way are any of the following rights affected by the license:
Your fair dealing or fair use rights, or other applicable copyright exceptions and limitations;
The author's moral rights;
Rights other persons may have either in the work itself or in how the work is used, such as publicity or privacy rights.
Trademarks: The logos and names of sponsors and organizers on the IUC briefing are trademarks of these organisations. Use, reproduction, copying or redistribution of trademarks, without the written permissionof the logo/name's respective owner is prohibited. The IIHS graphics in the IUC content are also considered trademarks of IIHS.
This report is produced by Autumn Worldwide | www.autumnworldwide.com
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
5/98
Indias urban transition, a once in history phenomenon, has thepotential to shift the countrys social, environmental, political, andeconomic trajectory. It could catalyse the end of calorie povertyif post-1989 China is any example. It could deepen democracy andhuman development, enabling more Indians to live better quality,healthier, and better-educated lives. It could enable the country'stransition to a less resource- Intensive development, with lowerthroughputs, footprints and environmental impacts that could reshapeglobal trends because of Indias demographic and economic size.But these are only aspirations. Hard evidence indicates that much work
needs to be done to realise these opportunities over the next twentyto thirty years.
Indias urbanisation will interact with the countrys ongoingdemographic evolution to shape the extent of the demographicdividend as a young labour force moves into more or less productiveemployment with unknown opportunities for economic and socialmobility. The process will help redefine Indias imagination as a countrythat lives primarily in its villages with limited movement acrossgeographies. We will need to understand and deepen the linkages thatenable small urban centres to become catalysts for rural non-farmemployment, sites of opportunities, and a foundation for eliminatingrural poverty and exclusion.
The spatial patterns of urbanisation will also affect the possibilitiesfor the country to pioneer new, less resource-intensive formsof development. India has lower measured emissions per unit of outputthan many other countries at the moment, but the emerging economicgeography will determine whether this pattern can be sustained asgrowth continues and consumption increases. Will road transportcontinue to dominate shipping or will rail and inland waterways emerge
as convenient linkages between economic hubs? Will cities grow ascompact, efficient densely populated areas or continue to spread outover larger and larger territories? Will more people connect to theelectricity grid or will diesel generators continue to power the emergingsuburbs this is an important question for emissions and energysecurity, above and beyond the more prominent discussion about themove from coal to renewable energy.
Third, urbanisation will, for better or for worse, play an enormous rolein social transformation and economic mobility. It may exacerbateinequalities, create new opportunities, or both. Cities could be engines
of poverty reduction, both within their boundaries and through thefinancial, people, and goods flow between urban and rural India. Theycould also replicate existing social stratification and exacerbate themisery of poverty by concentrating the poor in smaller, more polluted,more market-dependent, less safe areas.
In short, urbanisation is a transition to be reckoned with.
IIHS originally produced this book for the India Urban Conference:Evidence and Experience (IUC 2011), a series of events designed to raisethe salience of urban challenges and opportunities in the ongoing debateon Indias development. The series, comprising an academic conferencein New Haven, CT, USA, an ideas-forum and discussion of emergingevidence and research in Mysore, a policy conference in Delhi, and
a national student challenge seeking innovative proposals for urbansolutions, was convened by the Indian Institute for Human Settlements(IIHS), Janaagraha Centre for Citizenship and Democracy (JCCD), andthe South Asian Studies Council at Yale University, in collaboration withthe Ministry of Housing and Urban Poverty Alleviation and the Ministryof Urban Development of the Government of India. The events also
Urban India 2011: Evidence
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
6/98
relied on the expertise and networks of Context Anchors includingArghyam, Bangalore; DRONAH (Development and ResearchOrganisation for Nature Art and Heritage), Gurgaon; IFMR FinanceFoundation, Chennai; PHFI (Public Health Foundation of India), Delhi;India Urban Space Foundation (IUSF), Bangalore; SPA (Schoolof Planning and Architecture), Delhi; and Pratham, Mumbai and Delhi.The IUC series sought to contribute to building a strong and inclusiveknowledge foundation for this transition. The series of events soughtto create a platform for research and dialogue among practitioners,academics, and citizens to identify priorities for policy, research, andaction by all stakeholders in Indias urban transition.
We hope to extend the discussion beyond that series through widerpublication of the Urban India 2011: Evidence briefing and the evidencebehind it. This brief and intensive underlying analysis pulls togetheravailable evidence from national surveys, the Census of India, remotesensing data on urban spatial dynamics, as well as published and greyliterature. The picture created is far removed from the lived realityof urban India, and the aggregate summaries may be at odds with thevaried circumstances that policymakers, entrepreneurs and civil societyface as they seek to intervene in the urban transition. In some casesthese data may systematically misrepresent the context and dynamicsof urban India. However, the analysis captures one of the views availableto todays policymakers and starts to place diverse individualexperiences in some semblance of a broader context. It providesa starting point for developing a shared understanding of the underlyingtrends behind the everyday and individual observations of how Indiaand its urban areas are evolving. We hope that it will be challenged,augmented, and improved.
The Urban India 2011: Evidence also marks the initiation of a seriesof thematic Urban Atlases in collaboration with leading scholars andpractitioners. The Indian Institute for Human Settlements is firmlycommitted to furthering basic research - to borrow an academic termfrom the natural sciences - that helps civil society, academics, and policymakers at all levels of government understand and reflect upon the waysthat our society, culture, and economy are changing every day. The Atlasprogramme will be a platform for collaboration between allof the various stakeholders in data production - civil society and citizensas well as surveyors, academics, and governments - as well as a meansto disseminate the information that emerges from these exerciseto a broad audience.
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
7/98
[1]
TABLE OF CONTENTS
Endnotes & Explanations 79-86
Abbreviations 87-88
1. Urban Dynamics 3-26
2. Economic Geography 27-40
3. Migration 41-48
4. 49-56Urban Poverty and Livelihoods
5. Social Safety Nets 57-62
6. Urban Infrastructure & Services 63-70
7. Urban Finance 71-78
UrbanDynamics
EconomicGeograp
hy
Migration
UrbanPovertyandLivelihoods
SocialSafetyNets
UrbanInfra
structure&Services
UrbanFinance
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
8/98[2]
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
9/98
Urban Dynamics
Na t io n a l Ca p i t a l Re gio n o f De lh i : Ur b a n L a n d Co ve r 2 0 1 1
Longitude"Latitude"
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
10/98
Urban Dynamics
[4]
This section provides an overview of Indias urban dynamics in bothspatial and demographic terms. The first set of maps places Indiaspresent settlement distribution in historic context and suggests onescenario of how this may evolve over the next two decades. Indiasimpending urbanisation, particularly an acceleration of urbanisationin southern and parts of western India, are apparent and formidable.The next set of analyses disaggregates this overall pattern to show thebroad spatial distribution of cities by size class. Insets on the pagessummarize the current distribution of population as well as estimatesof land covered and economic output across cities of various sizes.This analysis shows how urban areas account for a disproportionatelysmall amount of Indias terrain when compared with their s ignificantand rising share of economic output. According to the Census of India2011 as well as calculations by the IIHS Geospatial Lab, the top 10 citiesof India account for almost 8% of Indias population, produce 15% oftotal economic output but only occupy approximately 0.1% of the totalland area. Similarly, the 53 million plus cities are estimated to accountfor 13% of the population produce, about a third of total economicoutput and occupy approximately 0.2% of the land. The top 100 citiesare estimated to account for 16% of the population, produce 43% ofIndias total output and occupy approximately 0.26% of the land. Theseestimates are necessarily rough given the absence of reliabledisaggregated data for urban areas but the emerging economicimportance of cities as well their increasing demographic presence isclear.
The next set of plates traces the evolution of Indias entire settlementstructure across villages, small towns and cities showing the changingdistribution of Indias population since Independence. The distributionhas a high concentration in the million cities and a very longdecentralised tail the 2011 Census estimated 8,000 urban centres,situated in a sea of over 6,60,000 villages. The graphs show a decline inthe number of people and proportion living in hamlets and smallvillages, partially because of population growth, but also because of theclustering and agglomeration of settlements as mobility networksincreased in coverage and settlement sizes grew. The analysis shows thatthe most significant change is in the proportion of the smallest and thelargest cities.
Two striking questions emerge: the distribution of both Indias urbanand rural population across settlement size class over the next half
century as we move from a rural-agrarian to an urbanindustrial/services-led economy. The second is the impact of the greyzone between Class IV to VI towns (
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
11/98
0
50
100
150
200
250
300
1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001 2011 2021 2031
Populationinmillions
Top 100 Top 50 Top 25 Top 20 Top 10
Urban India: 1951
[5]
In 1951, there were only5 Indian cities with a populationgreater than 1 million and only41 cities greater than 0.1 millionpopulation. Much of Indiaeffectively lived in 0.56 million
villages.
Source: IIHS Analysis of Censusdata, 1951. (Satellite Map,Google Inc.)
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
12/98
0
50
100
150
200
250
300
1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001 2011 2021 2031
Populationinmillions
Top 100 Top 50 Top 25 Top 20 Top 10
Urban India: 2011
[6]
In 2011, there arepopulation greater than 10 millionand 53 cities with population
greater than 1 million. Over 833million Indians live in 0.64 million
villages but 377 million live inabout 8,000 urban centres.
3 cities with
Source: IIHS Analysis of Censusdata, 2011. (Satellite Map,Google Inc.)
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
13/98
0
50
100
150
200
250
300
1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001 2011 2021 2031
Populationinmillions
Top 100 Top 50 Top 25 Top 20 Top 10
Urban India: 2031
[7]
By 2031, it is projected that therewill be 6 cities with a populationgreater than 10 million. A key
question is how many Indianswould live in how many mediumand small towns - the bridge
between a transforming rural andurban India?
Source: IIHS Analysis basedon Census of India. (Satellite Map,Google Inc.)
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
14/98
India's Largest Cities: 2011
Source: Census 2011
[8]
Top TenGreater MumbaiDelhi
KolkataChennaiBangaloreHyderabadAhmedabadPuneSuratJaipur (M Corp.)*
Mil lion P lu sGreater MumbaiDelhi
KolkataChennaiBangaloreHyderabadAhmedabadPuneSuratJaipur (M Corp.)*KanpurLucknowNagpurGhaziabadIndore
CoimbatoreKochiPatnaKozhikodeBhopalThrissurVadodaraAgraGVMC (MC)**MalappuramThiruvananthapuramKannurLudhiana (M Corp.)*
NashikVijayawadaMaduraiVaranasiMeerutFaridabad (M Corp.)*Rajkot
JamshedpurSrinagar
JabalpurAsansolVasai Virar City (M Corp.)*AllahabadDhanbadAurangabadAmritsarJodhpurRanchiRaipurKollamGwaliorDurg-Bhilainagar
ChandigarhTiruchirappalliKota (M Corp.)*
T op H u n d r e dGreater MumbaiDelhi
KolkataChennaiBangaloreHyderabadAhmedabadPuneSuratJaipur (M Corp.)*KanpurLucknowNagpurGhaziabadIndore
CoimbatoreKochiPatnaKozhikodeBhopalThrissurVadodaraAgraGVMC (MC)**MalappuramThiruvananthapuramKannurLudhiana (M Corp.)*
NashikVijayawadaMaduraiVaranasiMeerutFaridabad (M Corp.)*RajkotJamshedpur
SrinagarJabalpur
AsansolVasai Virar City (M Corp.)*AllahabadDhanbadAurangabadAmritsarJodhpurRanchiRaipurKollamGwaliorDurg-BhilainagarChandigarh
TiruchirappalliKota (M Corp.)*MysoreBareillyGuwahatiTiruppurSolapur (M Corp.)*Hubli-Dharwad *(M Corp.)*SalemAligarhGurgaonMoradabad (M Corp.)*Bhubaneswar
JalandharWarangalBhiwandiDehradunSaharanpur (M Corp.)*SiliguriGorakhpurGuntur
CuttackPuducherry
JammuBikaner (M Corp.)*Amravati (M Corp.)*Noida (CT)MangaloreBelgaumBhavnagarFirozabad (NPP)JamnagarDurgapurMalegaonNelloreBokaro Steel City
KolhapurRaurkelaAjmerNanded Waghala (M Corp.)*JhansiGulbargaErodeUjjain (M Corp.)*SangaliTirunelveliMuzaffarnagarVelloreRajahmundry
(List in descending order of population of Urban Agglomerations)
**GVMC (MC): Greater Visakhaptnam Municipal Corporation | *(M Corp.): Municipal Corporation.
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
15/98
Ten Largest Cit ies
Ten Largest Cities
[9]
Source: IIHS Analysis 2011(built-uparea); Census 2011 (population);Planning Commission 2011(DPP Estimates 2005-06).See endnotes for methodof calculating urban output andbuilt-up area.
0
5
10
15
20
25
30
35
40
1990s 2000s 2010s
Thousands
Average Density in Built -up Area of Top
Ten Cities, people per sq km
Estimatednumberofpeoplepersquarekm
ofbuilt-uparea
0 10 20 30 40 50
Estimated Proport ion for all-India
Land
Population
Output
0.1%
8%
15%
The top 10 cities are estimated toproduce about 15% of the GDP, with8% of the population and just 0.1%of the land area.
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
16/98
Cities with Populations
over 1 Million
Cities with Populations over 1 Million
[10]
0
5
10
15
20
25
30
35
40
45
1990s 2000s 2010sEstimatednumberofpeoplepersquarekm
ofbuilt-uparea
Thousands
Average Density in Built -up Areas of
Mil lion Plus Cit ies, people per sq km
Source: IIHS Analysis 2011(built-uparea); Census 2011 (population);Planning Commission 2011(DPP Estimates 2005-06).See endnotes for methodof calculating urban output andbuilt-up area.
0 10 20 30 40 50
Estimated Proportion for all-India
Land
Population
Output
0.2%
13%
31%
UrbanDynamics
The 53 Million-plus cities areestimated to produce about 32% ofthe GDP, with 13.3% of thepopulation and just 0.2% of the land
area.
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
17/98
Hundred Largest Cit ies
Hundred Largest Cities
[11]
0
5
10
15
20
25
30
35
40
45
1990s 2000s 2010s
Thousands
Average Density in Built -up Areas of Top
Hundred Cit ies, people per sq km
Estimatednumberofpeoplepersquarekm
ofbuilt-uparea
Source: IIHS Analysis 2011(built-uparea); Census 2011 (population);Planning Commission 2011(DPP Estimates 2005-06).See endnotes for methodof calculating urban output andbuilt-up area.
0 10 20 30 40 50
Estimated Proport ion for all-India
Land
Population
Output
0.24%
16%
41%
UrbanDynamics
The top 100 largest cities areestimated to produce about 43% ofthe GDP, with 16% of the populationand just 0.24% of the land area.
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
18/98
Distribution of Indias Population by Settlement Size (Urban & Rural): 1951-2011*
[12]
Source:on Census 1951 to 2011
IIHS Analysis based
Megacities (> 10 m)
Large Metropolitan Cities (5-10 m)
Million + Cities (1 - 5 m)
Other Class I Cities (0.1 to 1 m)
Class V & VI (5,000)
22%
17%
13%
10%
7% 5%3%
21%
19%
18%
15%
12%
10%
8%
20%
21%
21%
20%
19%
18%
17%
17%
18%
20%
21%
22%
23%24%
5%
8%
10%
12%
14%
16%
17%
3%1%
1%
1%
1%1%
1%
7%8%
8%
8%
8%
8%
9%
1%2%
4%
6%7%
8%
9%
3%3%
3% 3%4%
5%6%
1% 3% 4%2%
2% 3%
3% 4% 4%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1951
1961
1971
1981
1991 2001 2011
ProportionofAllIndiaPopulation(%)
C
lassI
Cities
OtherUrban
Centres
Mediumand
smallvillages
Large
Villages
265 m
112 m
537 m
200 m
Est. 2011Pop.
Depending on the definition of urban, more settlements shift from the rural into the urban category.
De f in i t i on o f Urba n (Ce ns us 20 11) :All st atu tor yplace s w ith a m un icipa lity , corp ora tion , can ton m ent
board or notified town area comm ittee. A place satisfying
the following three criteria simultaneously: a minim um
pop ula tion of 5,0 00 ; at le ast 75 per ce nt of m ale w ork ingpop ula tion eng ag ed in non -ag ricu ltu ral p ursuit s; a nd
a density of population of at least 400 per sq. km .Source: Census, 2011
All Ind ia : Num ber of Se t t lemen ts (1971-2011)
1991
3,351
6,34,321
2 0 0 1
5,161
6,38,588
2011
7,935
6,40,867
Urban
Rural*The break-up of smaller cities+ for 2011 is an estimate
(estimate)
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
19/98
Largest 20 Urban Agglomerations by Population: 2011
[13]
0
2
4
6
8
10
12
14
16
18
20
1901
1911
1921
1931
1941
1951
1961
1971
1981
1991
2001
2011
Greater Mumbai UA
Delhi UA
Kolkata UA
Chennai UA
Bangalore UA
Hyderabad UA
Ahmedabad UA
Pune UA
Surat UA Jaipur (M Corp.)
Kanpur UA
Lucknow UA
Nagpur UA
Ghaziabad UA
Indore UA
Coimbatore UA
Kochi UA
Patna UA
Kozhikode UA
Bhopal UA
Populationinm
illions
The rapid growth of the largest metropolitan cities in the 20th century,is now beginning to slow down, whereas the smaller cities are expanding.
Source: IIHS Analysis based onCensus of India, 2011
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
20/98
Population and Built up Area: Inside and Outside Indias 10 Largest Cities
[15]
Source:and IIHS AnalysisSee endnote for explanationon methodology for calculatingbuilt-up area
H.S. Sudhira (2011)
Indias largest cities have a significant portion of bothpopulation and built-up areas outside ULB boundaries. Inmost cases, the proportion of built- up area outside ULB
boundaries is greater than the proportion of populationoutside the administrative boundaries, implying relativelylow-density sprawl. Comparison over time (highlighted inthe next page) shows that this spatial expansion hasaccelerated between 2000 and 2010.
Population Built -up area
Population Built -up area
MumbaiGreater Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pune Surat Jaipur
Populationandbuilt
0
populationorbuilt
50-upareaoutsidetheurbanlocalbodyasaproportionof
-
100upareainsidetheurbanlocalbody
150
200
250
2010
Populat ion up areaBuilt -
Mumbai MumbaiGreater Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pune Surat Jaipur Greater Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pun e Sur at Jai pur
Populationandbuilt
Populationandbuilt
0 0
populationorbuilt
populationorbuilt
50- 50upareaoutsidetheurbanlocalbo
dyasaproportionof
-upareaoutsidetheurbanlocalb
odyasaproportionof
-upareainsidetheurbanlo
calbody
-upareainsidetheurbanlocalbody
100 100
150 150
200 200
250 250
1990 2000
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
21/98
Urban Growth: Population vs. Built up Areas
[14]
Built-up area has been growing faster than population in nearly all of Indias largest cities for the past two decades.
Source:and IIHS AnalysisSee endnote for explanationon methodology for calculatingbuilt-up area
H.S. Sudhira (2011)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
GreaterMumbai
Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pune Surat Jaipur
Change(%)
Percentage Change in Population and Built -up Area
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
GreaterMumbai
Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pune Surat Jaipur
Change(%)
Percentage Change in Population Percentage Change in Built- up Area
for 10 Largest Cit ies, 1990-2000
Percentage Change in Populat ion and Built -up Area
for 10 Largest Cities, 2000-2010
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
22/98
Urban Growth: Density
[16]
Built-up density, estimated as population over built-up area, is decreasing for most of the core areas of theten largest cities. The evolution of density outside the urban local body boundaries varies more, but
density is lower than in the city cores.
Source:and IIHS AnalysisSee endnote for explanationon methodology for calculatingbuilt-up area
H.S. Sudhira (2011)
UrbanDynamics
0
10
20
30
40
50
60
70
80
90
100
GreaterMumbai
Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pune Surat Jaipur
Personspersq.
kmofbuilt-uparea
Thousands
Built-up Densities inside Administrative Boundary
1990
2000
2010
0
10
20
30
40
50
60
70
80
90
100
GreaterMumbai
Delhi Kolkata Chennai Bangalore Hyderabad Ahmedabad Pune Surat Jaipur
Personspersq.
kmofBuilt-uparea
Thousands
Built-up Densities outside Administrative Boundary
1990
2000
2010
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
23/98
Change in Urban Built-up Area & Land Cover: Mumbai & Delhi
[17]
Source: H. S. Sudhira (2011).Urban Land Cover and Land CoverChange Dataset of Indian Cities.IIHS Working Paper, Mimeo.
Delhi
1992 2000 2011
Water bodies
Vegetation
Built-up
Others
Mumbai
199212.6 million 200116.4 million 201118.4 million
8.7 million 13.7 million 16.3 million
UrbanDynamics
U
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
24/98
Change in Urban Built-up Area & Land Cover: Kolkata & Chennai
[18]
Kolkata
1990 2001 2010
Water bodies
Vegetation
Built-up
Others
Chennai
1991
10.3 million 13.2 million 14.1 million
5.2 million 20006.6 million 20098.7 million
Source: H. S. Sudhira (2011).Urban Land Cover and Land CoverChange Dataset of Indian Cities.IIHS Working Paper, Mimeo.
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
25/98
Change in Urban Built-up Area & Land Cover: Bangalore & Hyderabad
[19]
Bangalore
1992 2001 20093.4 million 5.7 million 8.5 million
Water bodies
Vegetation
Built-up
Others
Hyderabad
1989 2001 20094.3 million 5.7 million 7.7 million
Source: H. S. Sudhira (2011).Urban Land Cover and Land CoverChange Dataset of Indian Cities.IIHS Working Paper, Mimeo.
UrbanDynamics
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
26/98
Water bodies
Vegetation
Built-up
Others
Change in Urban Built-up Area & Land Cover: Ahmedabad & Pune
[20]
Ahmedabad
1992 2001 2011
Pune
1992 2001 2011
3.3 million 4.5 million 6.4 million
2.3 million 3.8 million 5.0 million
Source: H. S. Sudhira (2011).Urban Land Cover and Land CoverChange Dataset of Indian Cities.IIHS Working Paper, Mimeo.
UrbanDynamics
U
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
27/98
Change in Urban Built-up Area & Land Cover: Surat & Jaipur
[21]
Jaipur
1989
Water bodies
Vegetation
Built-up
Others
Surat
19901.5 million 20012.8 million 20114.6 million
1.5 million 20002.3 million 20113.1 million
Source: H. S. Sudhira (2011).Urban Land Cover and Land CoverChange Dataset of Indian Cities.IIHS Working Paper, Mimeo.
UrbanDynamics
Ur
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
28/98
Change in Urban Built-up Area & Land Cover: Agra & Chandigharh
[22]
Water bodies
Vegetation
Built-up
Others
Agra
1989 2000 2011
Chandigharh
1989 2000 20110.6 million 0.8 million 1 million
0.9 million 1.3 million 1.7 million
Source: H. S. Sudhira (2011).Urban Land Cover and Land CoverChange Dataset of Indian Cities.IIHS Working Paper, Mimeo.
rbanDynamics
U
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
29/98
[23]
UrbanDynamics
Spatial Variation in District-wise Distribution of Sectoral Output: 2005-06
All the districts of India are arranged in ascendingorder of level of urbanisation, and the linesrepresent the cumulative distribution of sectoral
output. As expected, we see that some economicactivity like banking, insurance and real estate ismore concentrated in urban areas, whereasforestry, logging, agriculture, mining andquarrying are less concentrated in urban areas.
This chart shows the sectoral composition of the economy. Shades of green
represent the primary sector, shades of blue represent the secondary sectorand shades of pink and purple represent the tertiary sector.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Cumulativ
ePercentageofTotalAll-IndiaOutpu
t
Districts, ordered by Level of Urbanisation
Agriculture
Forestry andLogging
Mining andQuarrying
Manufacturing
Trade, Hotelsand Restaurants
Banking andInsurance
Real Estate
Total DDP
Sectoral Composition of All India GDP, 2005-06
Agriculture
19% Forestry 1%
Fishing 1%
Mining 2%
Manufacturing
14%
Electricity2%
Construction8%
Trade
15%Railways 1%
Other Transport 4%
Communication
3%
Banking6%
Real Estate
9%
PublicAdmn
5% OtherServices
9%
Source : District-level dataon economic output from thePlanning Commission
U
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
30/98
[24]
UrbanDynamics
Spatial Variation in District-wise Distribution of Output for Select States: 2005-06
Source : District-level dataon economic output from thePlanning Commission
The districts of a particular state are linedup in increasing order of level of urbanisationon the horizontal axis, and the vertical axis
depicts the cumulative percentage of the statesoutput accounted for by these districts. For moredetails, refer to endnotes. From this figure, we cansee that some states like Maharashtra andKarnataka have a greater spatial concentrationof output in highly urbanised districts, whereasin some states like Andhra Pradesh, Punjab andRajasthan, output is distributed more evenlyacross the districts of the state.
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
PerCapitaGSDP(inRupees)
Per Capita GSDP
All India Per Capita GDP
There is a great deal of variation in per capita GSDP (Gross State DomesticProduct) between the states in our sample.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
CumulativePercentageofStateOutput
Uttar Pradesh
Maharashtra
Karnataka
Andhra Pradesh
Bihar
Punjab
Rajasthan
Tamil Nadu
All India
Districts, ordered by Level of Urbanisation
U
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
31/98
Primary Secondary Tertiary Total DDP
[25]
Distribution of Sectoral Output by Districts for Select States: 2005-06
0%
10%
20%
30% 40% 50% 60% 70% 80% 90% 100%
0%
10%
20%
30%
40%
50%
60%
70%
80%90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Proport ion Rural
CumulativeSectoralOutpu
t
Cumulative Population, Districts Orderedby Level of Urbanisation
Rajasthan
Agriculture13%
Mining1%
Manufacturing
19%
Electricit y 3%
Construction 5%
Trade17%
Railways 1%
Other Transport 5%
Communication 4%
Banking11%
Real Estate
11%
Public Admn. 4% OtherServices
7%
Agriculture
26%
Forestry 2%
Mining 2%
Manufacturing12%
Electricit y 3%
Construction13%
Trade13%
Railways 1%
Other
Transport3%
Communication3%
Banking 4%
Real Estate 6%
Public Admn 4%
Other Services 8%
Districts in a particular state are linedup in increasing order of the levelof urbanisation, and these charts arescatter plots of the cumulative percentageof population against the cumulativeproportion of output in the primary,secondary and tertiary sectors of theeconomy. The black vertical line indicatesthe overall level of urbanisation in the
state. It does not indicate that thepopulation above the line is completelyurban: Districts above the line aresomewhat more rural and districts belowthe line are somewhat more urban.
Sectoral compostion of state output : 2005-06
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
Rajasthan Karnataka Punjab Maharashtra
PerCapitaGSDP(inRupees)
Per Capita GSDP
All India Per Capita GDP
Proportion Rural
Cumulative Population, Districts Orderedby Level of Urbanisation
Maharashtra
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
0%
10%
20%
30%
40%
50%
60%
70%
80%90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
CumulativeSectoralOutpu
t
Source : District-level dataon economic output from thePlanning Commission
Rajasthan Maharashtra
UrbanDynamics
Urb
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
32/98
[26]
banDynamics
Distribution of Sectoral Output by Districts for Select States: 2005-06
The pie charts show the sectoralcomposition of state output: shadesof green represent the primary sector,shades of blue represent the secondarysector and shades of pink and purplerepresent the tertiary sector.In Maharashtra and Karnataka, secondaryand tertiary sector output is concentratedin the more urbanised districts of the state,
whereas primary sector outputis concentrated in the more rural districtsof the state. Output in Punjab and Rajasthanis more evenly spread across districts.
Sectoral compostion of state output: 2005-06
Source : District-level dataon economic output from thePlanning Commission
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
Rajasthan Karnataka Punjab Maharashtra
PerCapitaGSDP(inRupees)
Per Capita GSDP
All India Per Capita GDP
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
0%
10%
20%
30%
40%
50%
60%
70%
80%90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Proport ion Rural
CumulativeSectoralOutput
Cumulative Population ordered by Percentage Urban
Karnataka
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
0%
10%
20%
30%
40%
50%
60%
70%
80%90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Proport ion Rural
CumulativeSectoralOutpu
t
Cumulative Population, Districts Orderedby Level of Urbanisation
Punjab
Agriculture
18%Forestry 1%Mining 1%
Manufacturing16%
Electricity 3%
Construction 7%
Trade14%
Railways 1%
Other Transport 4%
Communication4%
Banking 7%
Real Estate13%
Public Admn 4%
Other Services 7%
Agriculture
32%
Manufacturing
15%
Electricity 3%Construction 7%
Trade13%
Railways 1%
Other
Transport3%
Communication3%
Banking 5%
Real Estate 4%
Public Admn 5%
Other Services 8%
Primary Secondary Tertiary Total DDP
Karnataka Punjab
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
33/98
Economic Geography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
34/98
Economic Geography
[28]
Indias economic dynamism varies dramatically across the country.Unfortunately no comparable official estimates are available for cityeconomic output, in spite of urban areas producing close to two-thirdsof the GDP.
Hence, the series of maps present the closest spatial approximation -district-level data on economic output, disaggregated by sector, thathighlight the spatial distribution of economic activity for select sectorsand in aggregate. The striking pattern is the concentration of economicoutput in districts that host some of the largest cities, across mosteconomic sectors especially services, but including manufacturing.This is set in a highly unequal landscape in terms of natural resourceendowments (some of the poorest districts have high concentrationsof energy, forest and mineral wealth) and agricultural land-use
and productivity.
The compound annual growth rate (CAGR) maps show where thechanges are taking place over the early 2000s, during an acceleratingperiod of economic reform. It is interesting to note that tertiary sectoractivity is concentrated in and around large urban centres, and itsgrowth is strongest in the more urbanised regions of the country.From the CAGR maps, one can observe that the rate of growthof agricultural output is lower than that of manufacturing, whichin turn is lower than that of trade related output. These trends pointto an ongoing economic restructuring and shifts in the sectoral andspatial composition of the economy, potentially moving in the directionof divergence and urban primacy.
To supplement the IIHS analysis on economic activity, this brief drewon work done for the World Banks as-yet-unpublished IndiaUrbanisation Review on employment patterns and the concentration
of employment in cities disaggregated by city size. The results reinforcethe general conclusion of concentrated (but slowly de-concentrating)economic activity.
Workforce participation rates, at least in employment captured in theEconomic Census, are highest in the major metros (population4 million plus), and employment in high tech sectors (ICT, high-technology manufacturing, and fast-growing exports) is also highlyconcentrated in the larger cities. Manufacturing in general and low techmanufacturing in particular is relatively well distributed across thecountry. Further, the pattern of employment growth around the India'slargest cities shows that manufacturing activity is shifting outwardsfrom the city core. Manufacturing is shifting to a 10-100 km radius fromthe city centre, with high tech manufacturing shifting to a 10-50km
radius from the city centre, and medium high tech manufacturing andfast growing export manufacturing shifting to a 50-100 km radius fromcity centres. The patterns around cities with at least a million personsas of the 2001 census are somewhat different: low tech manufacturingis growing in the city core and in a 10-50 km radius from the city core,and high tech and medium high tech manufacturing is declining in thesame radius. Fast growing export manufacturing is increasingin a 50-100 km radius from the city centres.
The spread of manufacturing and other employment away from the citycore connects to the issue of sprawl, and raises questions related to thelinks between land use and transportation. The shifting spatialdistribution of economic activity as well as infrastructure hasimplications for the distribution of economic development as wellas poverty.
EconomicGeograph
y
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
35/98
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
Distribution and Growth Rate of Total Output: 2001-05
[29]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura isnot available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Total GDP Output - 2005 Considerable concentrationof economic output aroundmajor urban centers and
urbanised states over theearly 2000s
EconomicGeograph
y
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
36/98
Distribution and Growth Rate of Primary Sector Output: 2001-05
[30]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura isnot available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Primary Sector Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
Major concentrationof primary sector economicactivities in 'GreenRevolution', delta andirrigated areas apart frommining-intensive districts.
EconomicGeograph
y
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
37/98
Distribution and Growth Rate of Secondary Sector Output: 2001-05
[31]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura isnot available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
Distr ict-wise Distribut ion of Secondary Sector Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
The concentrationof secondary activitiescontinues in establishedcentres and along growthcorridors.
EconomicGeograph
y
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
38/98
Distribution and Growth Rate of Tertiary Sector Output: 2001-05
[32]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura is
not available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Tertiary Sector Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
High concentrationof tertiary sector outputin metropolitan cities andstate capitals.
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
39/98
Distribution and Growth Rate of Agricultural Output: 2001-05
[33]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura is
not available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Agricultural Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
Agricultural Output
concentrated in GreenRevolution and cash cropbased districts. Muchof semi-arid, eastern andnorth-eastern India remainrelatively 'backward'.
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
40/98
Distribution and Growth Rate of Manufacturing Output: 2001-05
[34]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura is
not available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Manufacturing Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
Manufacturing outputremains highlyconcentrated in olderindustrial and metropolitancentres in spite of 15 yearsof economic reforms.
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
41/98
Distribution and Growth Rate of Trade Output: 2001-05
[35]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura is
not available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Trade Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
Strong concentrationof trade output in largemetropolitan centres statecapitals and along growthcorridors.
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
42/98
Distribution and Growth Rate of Real Estate Output: 2001-05
[36]
NOTE: Data for Gujarat,Jammu & Kashmir,Nagaland, and Tripura is
not available at the districtlevel. Therefore, the valueassigned to each district inthese four states is theaverage of the state GDP.
District-wise Distribution of Real Estate Output - 2005
Source: IIHS Analysis basedon District-level economicdata from the PlanningCommission website and theCentral Statistical Organization.
High concentration of realestate share of outputin large metropolitancentres and moreprosperous states.
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
43/98
Sectoral Employment by City Size: 2005
[37]
Source: World Bank (2011)India Urbanisation Review. Mimeo
Workforce Participation Rate
0
10
20
30
40
50
60
70
80
90 100
ICT services Transport, telecom Financial services Real estate
%ofN
ationalJobsintheSector
Business Service Employment
010
20
30
40
50
60
70
80
90
100
%ofNationalJobsintheSector
Other Service Employment
Medium (0.05-0.1million) Large (0.1-1 million) Million+ (1-4million) Major Metro (>4 million)
0%
5%
10%
15%
20%
25%
%ofWorkersinPopulation
0
20
40
60
80
100
Low Tech
Med LowTech
Med HighTech
High Tech
Fast-GrowingExports
Manufacturing
%ofNationalJobs
intheSector
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
44/98
Sectoral Concentration in Employment
[38]
Source: World Bank (2011)India Urbanisation Review. Mimeo
L o ca t i o n Q u o t i e n t is the share of a sector (s) employment in that region (r) divided by the national share of employment (e) in thatsector: (e /E )/(e /E ). Values greater than one signify a relative concentration of that sectors employment in a particular region.sr r sn NThe clusters of columns on this graph show the variation in geographic concentration of employment in particular sectors.The clusters with relatively uniform height - low-technology manufacturing and manufacturing in general - represent evenlydispersed jobs. Other sectors, most notably ICT, have a significant portion of jobs clustered in the larger cities.
0
0.5
1
1.5
2
2.5
LocationQuotient
Sector
Major Metro (>4 million)
Million+ (1-4million)
Large (0.1-1 million)
Medium (0.05-0.1 million)
Small (0.02-0.05 million)
Town (
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
45/98
Workforce and Employment around Major Metros: 1998-2005
[39]
Major Metros are Mumbai, Delhi, Bangalore, Kolkata, Chennai, Hyderabad and Ahmedabad in this analysis, which were the seven largestcities as of 2001 Census.
rural
urban
Manufacturing
010
20
30
40
50
60
70
%ofManufacturingWorkforce
7 largest cities are as per 2001 census
010
20
30
40
50
60
70
%ofBusinessServicesWorkforce
7 largest cities are as per 2001 census
Business Services
010
20
30
40
50
60
70
%ofOtherServicesWorkforce
7 largest cities are as per 2001 census
Other Services
010
20
30
40
50
60
70
%ofICTWorkforce
7 largest cities are as per 2001 census
ICT Services
Source: World Bank (2011)India Urbanisation Review. Mimeo
EconomicGeography
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
46/98
Geography of Employment Growth: 1998-2005
[40]
Major Metros are Mumbai, Delhi, Bangalore, Kolkata, Chennai, Hyderabad and Ahmedabad in this analysis. Medium-sized citiesare cities of at least 1 million as of Census 2001. The ring buffer analysis excludes areas within 100km from seven largest cities.
-20%
-15%
-10%
-5%
0%
5%
10%
15%
20%
25%
30%
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
47/98
Migration
i i
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
48/98
Migration
[42]
A commonly held perception is that explosive rural to urban migrationis the primary cause for the state of Indias cities. This is not borne outby the evidence. For the last 30 years, migration has contributed abouta fifth of the population, natural urban population growth contributedabout 60 percent, and the rest about equally split between new townformation because of reclassification and urban boundary expansionor sprawl.
This section estimates patterns of migration in India, focusing on 2011,in anticipation of the release of Census 2011 data. Besides givingan overview of the contribution of net rural to urban migration to thetotal increase in urban population, it also attempts to trace the patternsof peoples movements between the states.
Using data from multiple sources, including recent results from Censusand SRS 2011 and the NSS 64th Round, three interesting trends emerge.First, the net migration share in urban growth is up from 21 percentover the last decade to about 24 percent over 2001-11. Demographicdynamics, with dropping birth rates has led to a decline in naturalpopulation growth share in cities from 59 percent in 1991-2001to 44 percent over the last decade. The remaining 32 percent is dueto reclassification of Census towns and expansion of urbanagglomerations. Census 2011 saw the largest rise in new Census Towncreation in history pointing to the movements of large villages in thegrey zone into an urban classification. The growth in urban areais corroborated with satellite data in the section on Urban Dynamics.
The maps explore spatial trends in inter-state migration over the2001-2011 period, using NSS data as a proxy in advance of the release
of the Census 2011 data. Not unsurprisingly, much of the migration(female+male; rural + urban) is concentrated around thedemographically dominant states of northern India along with theincreasing concentration of investment, economic activity, wealth andjobs around particular centres.
Uttar Pradesh leads the country as an interstate migration destinationfollowed by Delhi, West Bengal, Tamil Nadu and Rajasthan. Delhi leadsas a destination for net rural to urban migration (from UP, Bihar andHaryana) followed by Maharashtra, Uttar Pradesh, Haryana and AndhraPradesh. While comparing total urban to urban migration, Delhi againleads other states as a destination followed closely by Uttar Pradesh,Maharashtra, West Bengal and Karnataka. Maharashtra, Gujarat,
Andhra Pradesh and Karnataka also show significant migration intourban areas.
The diagram represents 20 streams of migration that make up halfof the estimated total migrants over the 2001-10 decade. The mostsignificant total migration flows (urban & rural) are from Uttar Pradesh,Bihar, Kerala, Madhya Pradesh and Karnataka. Key destination statesare Delhi, Tamil Nadu, Kerala, Haryana, UP and Bihar. Urban migrationis much more diverse, but the lead source states still continue to be UP,Bihar, Tamil Nadu, Karnataka and Haryana. Key destination statesinclude Delhi, Kerala, West Bengal, Maharashtra, Tamil Nadu andAndhra Pradesh.
Migration
C f U b P l i G h 6
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
49/98
Source: IIHS Analysis basedon Census of India, 2011; NSS 64thRound; Sivaramakrishnan,Kundu and Singh (2005)SRS,Vol.45 No.1, 2011See endnote for explanationon methodology for calculating netrural to urban migration
Components of Urban Population Growth: 1961-2011
[43]
0
10
20
30
40
50
60
70
80
90
100
1961-71 1971-81 1981-91 1991-2001 2001-2011*
UrbanPopulationGrowth(in
million)
Net Rural to Urban migration
Expansion in urban area / agglomeration
New towns less declassified towns
Natural Growth
The major component of urban population growthis still natural growth. While approximately40 million of the 2001-2011 increase is dueto natural growth, only about 22 million is due to net
rural to urban migration.
0%
10%
20%
30%
40%
50%
60%
70%
1961-71 1971-81 1981-91 1991-2001 2001-2011*
%Share
ofUrbanPopulationGrowth
Net Rural to Urban migrationExpansion in urban area / agglomeration
New towns less declassified t owns
Natural Growth
Tracing the rates of change of the components of urbangrowth from 1961-71 to 2001-11, the rate of naturalgrowth has declined from 59% in 1991-01 to 44%in 2001-11, whereas the estimated rate of net rural tourban migration has marginally increased from 21%in 1991-01 to 24% in 2001-11.
* The figures for 2011 are estimates with their methodology described in the endnotes.
Migration
E i d M j I S Mi i S
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
50/98
State GDP (in Lakh Crores)
Source: IIHS Analysis based on thedata from Census of India 2001,2011, and NSS 64th RoundSee endnote for explanationon methodology for calculatingnet rural to urban migration
[44]
Estimated Major Inter-State Migration Streams: 2001-2011
The figures for 2011 are estimates with their methodology described in the endnotes.
0 - 0.2
0.2 - 0.6
0.6 - 1.2
1.2 - 1.8
1.8 - 2.2
2.2 - 3.6
Migration
The 10 largest flows of inter-statemigration (including rural andurban migration) are in the north(UP, MP, Haryana and Delhi) andeast (Bihar and West Bengal) withsignificant flows between TamilNadu and Kerala.
E ti t d M j N t R l t U b I t St t Mi ti
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
51/98
State GDP (in Lakh Crores)
1 lakh persons
Estimated Major Net Rural to Urban Inter-State Migration: 2001-2011
Source: IIHS Analysis based on thedata from Census of India 2001,2011, and NSS 64th RoundSee endnote for explanationon methodology for calculatingnet rural to urban migration
[45]
0 - 0.2
0.2 - 0.6
0.6 - 1.2
1.2 - 1.8
1.8 - 2.2
2.2 - 3.6
The figures for 2011 are estimates with their methodology described in the endnotes.
Much of the major movementis between the states in the northand eastern India, except formovement between Tamil Naduand Kerala, and Andhra Pradeshand Karnataka. The top 10movement streams are estimatedto be as follows:
UP to Delhi Bihar to Delhi UP to Maharashtra Bihar to West Bengal Tamil Nadu to Kerala Bihar to UP Haryana to Delhi UP to Gujarat Kerala to Tamil Nadu Andhra to Karnataka
Migration
E ti t d M j N t U b t U b I t St t Mi ti
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
52/98
The top 10 largest flows betweenurban areas are estimatedto be as below:
UP to Delhi Bihar to Delhi
Bihar to West Bengal UP to Uttarakhand Bihar to UP UP to Maharashtra Kerala to Tamil Nadu Tamil Nadu to Kerala AP to Karnataka MP to UP
Source: IIHS Analysis based on thedata from Census of India 2001,2011, and NSS 64th RoundSee endnote for explanationon methodology for calculatingnet rural to urban migration
[46]
Migration
State GDP (in Lakh Crores)
Estimated Major Net Urban to Urban Inter-State Migration: 2001-2011
0 - 0.2
0.2 - 0.6
0.6 - 1.2
1.2 - 1.8
1.8 - 2.2
2.2 - 3.6
The figures for 2011 are estimates with their methodology described in the endnotes.
E ti t d T Mi ti St 2001 2011
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
53/98
Estimated Top Migration Streams: 2001-2011
[47]
Estimated top 50% of Total Migration Estimated top 50% of Migration into Urban areas
Source: IIHS Analysis basedon Census of India, 2001and 2011NSS 64th RoundSee endnote for explanationon methodology for calculatingnet rural to urban migration
The above circo diagrams represent migration streams between states, with the thick endrepresenting the source state and narrow end representing the destination state.
The first circo represents the streams of migration that amount to 50% of the total migrationoccurring within the country. The migration represented here, 50% of total migration, comesfrom just 20 streams of migrants.
The second circo represents the top 50% migration streams in urban areas. While Delhi,Maharashtra, Uttar Pradesh, West Bengal, Karnataka and Haryana are the top destinationstates, Uttar Pradesh, Bihar, Tamil Nadu, Kerala and Andhra Pradesh are the largest sourcesof such migration.
Migration
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
54/98
[48]
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
55/98
Urban Poverty & Livelihoods
Urban Poverty & Livelihoods
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
56/98
UrbanPovertyandLiveliho
ods
Urban Poverty & Livelihoods
[50]
This section presents data on the persistence of poverty and inequalityin urban areas, read particularly through the lenses of slums andunemployment. Some points to note: First, although the proportionof the poor in the total population is falling both in urban and ruralareas, the absolute number of urban poor is increasing. The extent towhich this is due to movements of existing urban residents into povertyversus in-migration is not clear. Migration may be the first step towardhigher incomes and movement out of poverty. In other words, while theoverall number of urban poor maybe increasing; it need not imply thatthe families are not moving out of poverty. However, if migration is notan important factor, then rising numbers of the urban poor pointto declining incomes and assets as well as vulnerability to consumptionand asset shocks.
Second, povertys relationship with the current settlement structureis important. Concentrations of poverty are associated with slumsleading to the assumption that large million plus cities with visibleslums have higher concentrations of poverty. Million plus cities areindeed home to 40 percent of the slum population. However, themajority of the poor are, in fact, concentrated in medium and smalltowns - 80 percent of the urban poor reside in cities with populationsless than one million. These findings may be an artifact of a datacollection process that does not fully capture slums in smaller cities,but if true, they have critical implications for current nationalpolicies on urban renewal and reform, particularly those targetingurban poverty.
Third, cities are sites of opportunity - for some. As in the case of greaterinequality in consumption expenditure over the 2000s, wealth
distribution in urban areas demonstrate greater inequality than wealthdistribution in rural areas. Traditional caste hierarchies of rural Indiaappear to be reproducing themselves in urban India, contrary to popularperception. In urban India, the Hindu forward castes continue to enjoyhigher incomes at all levels of wealth distribution compared to SCs,STs, OBCs and non-Hindus.
In terms of employment, the extent of informality in urban employmentis high at around 70 percent. It has remained largely unchanged over thecourse of the past decade. Almost 60 percent of total urban employedare wage workers, and 67 percent of this category are informal wageworkers. The remaining are largely the urban self-employed, whichinclude own account workers, employers, and contributing familyworkers. Only a small proportion of the self-employed (about 5 percent)
are employers, while the majority (74 percent) are own-accountworkers. The composition of urban informal employment is similar,with about 50 percent being wage workers, 40 percent workingas own-account workers, and the remaining working as employers andcontributing or unpaid family workers. The proportion of wage workersin informal employment has increased since 1999-2000.
Classified by industry, the largest category for urban employmentis non-trade services, which includes occupations as diverseas transport, domestic workers and waste pickers. This category hasthe lowest proportion of informality, but it is not clear that these"formal" jobs are those to aspire for.
Urban Informality and Job Types: 1999 2009
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
57/98
Source: Chen, Martha A., andG. Raveendran, 2011. "UrbanEmployment in India: Recent Trendsand Patterns," (Mimeo)
Urban Informality and Job Types: 1999-2009
[51]
Composition of Total Urban
Employed in2009-10
Urban WageWorkers
59%
Urban SelfEmployed
41%
Formal
33%
Informal
67%
Employers
5%
Own
Account
Workers
74%
Unpaid Family
Workers
21%
Among the urban self-employed, 74% are own account workers (without paidemployees) and 21% are unpaid contributing family workers -- self-employment in small single-person businesses play a significant role.
0
20
40
60
80
100
1999-00 2004-05 2009-10
Informal Employment as a Proport ion of
Total Urban Employment
Formal Informal
Most urban employment is informal, a situation thathas remained stable over the past decade.
25 40
40 100.15
05
1015202530354045
Pro
portionofTotalUrbanEmployed(%)
Urban Employed Classified by Industry,
Proportion Formal vs. Informal
Informal
Formal
Non-trade services is a varied category, combining transport,domestic workers and waste pickers. Almost all domestic workersand waste pickers are informally employed, implying that much ofthe formal employment in this industry is in transport.
Constru
ctio
n
UrbanPovertyandLiveliho
ods
Urban Informal Employment Classified by Type of Work
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
58/98
Source: Chen and Raveendran (2011)based on NSS 66th Round, Mimeo.
Urban Informal Employment Classified by Type of Work
[52]
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
1999-00
2004-05
2009-10
Urban Informal Employmentby Employment Status
Wage Workers Employers Own Account Workers Unpaid Family Workers
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
MALE
FEMALE
MALE
FEMALE
MALE
FEMALE
1999-00
2004-05
2009-10
Urban Informal Employment by EmploymentStatus and Gender
Within informal employment, only half are wage workers, a structure that has remained fairly stable over time. The self-employed
are largely own-account workers. Male and female work forces have similar proportions of wage. Differences are apparent amongself-employed, where the share of employment for unpaid family workers is higher for women than men.
UrbanPovertyandLiveliho
ods
Urban and Rural Poverty Trends: 1973-2004
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
59/98
Source: Government of India,Planning Commission (2008)
Urban and Rural Poverty Trends: 1973-2004
[53]
Millions
Poverty Head Count
0
5
10
15
20
25
30
1973 1983 1999 2004
Urban Rural
0
10
20
30
40
50
60
1973 1983 1999 2004
PercentageofPopulation
Proportion Below Poverty Line
Urban Rural
The poverty headcount ratio is declining in both urban and rural areas. However, the number of urban poor is rising while thenumber of rural poor is declining. Poverty head count data is from the Planning Commission, Eleventh Plan, Volume III,and is based on poverty lines for 2004-05. Poverty lines in 2004-05 were Rs. 356 monthly per capita consumption expenditurefor rural areas and Rs. 539 for urban areas.
UrbanPovertyandLiveliho
ods
Caste-wise Rural and Urban Distribution of Wealth: 2002
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
60/98
Caste-wise Rural and Urban Distribution of Wealth: 2002
[54]
Source:Vakulabharanam (2011) basedon All-India Debt andInvestment Survey, 2002-3.
Zacharias and
0
100
200
300
400
500
600
5 10 1520 253035 40 45 50 55 60 65 70 75 80 85 90 95
Wealth,1000sof2006Rs
Percentile
Forward Caste
Urban Rural
0
100
200
300
400
500
600
5 10
15
20
25
30
35
40
45
50
55
60
65
70
75
80 85 90 95
Wealth,1000sof2006Rs
Percentile
Non-Hindu
Urban Rural
0
100
200
300
400
500
600
5 10
15
20
25
30
35
40
45
50
55
60
65
70
75 80 85 90 95
Wealth,1000sof2006Rs
Percentile
Scheduled Tribe
Urban Rural
0
100
200
300
400
500
600
5 10
15
20
25
30
35
40
45
50
55
60
65
70
75 80 85 90 95
Wealth,1000sof2006Rs
Percentile
Scheduled Caste
UrbanRural
0
100
200
300
400
500
600
5 1015 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95
Wealth,1000sof2006Rs
Percentile
Other Backward Caste
Urban Rural
If rural and urban individuals fora particular caste group were linedup from poorest to richest (100thpercentile), the lines on these chartsrepresent the level of wealth for eachindividual in line.
The series highlights the distinct waysin which rural and urban incomedistributions for a particular caste
group diverge.
UrbanPovertyandLiveliho
ods
Caste-wise Rural and Urban Distribution of Wealth: 2002
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
61/98
Caste wise Rural and Urban Distribution of Wealth: 2002
[55]
Source: Zacharias andVakulabharanam (2011) basedon All-India Debt and InvestmentSurvey, 2002-3.
If rural and urban individuals for a particular caste group were lined up from poorestto richest (100th percentile), the lines on these charts represent the level of wealth foreach individual in line.
The two graphs display differing scales of wealth, but similar orderings of caste groups.
0
100
200
300
400
500
600
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95
Rural Wealth Distribution
percentile
Wea
lthinRs.1000s
0
100
200
300
400
500
600
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95
Urban Wealth Distribution
percentile
WealthinRs.1000s
Scheduled Castes
Scheduled Tribes
Other Backward Classes
Forward Castes
Non-Hindus
UrbanPovertyandLiveliho
ods
City size-wise Urban Poor and Slums
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
62/98
City size wise Urban Poor and Slums
[56]
Source:Lanjouw and Murgai (2011), basedon NSS data and urban populationas of 2001 Census. Data on slumsfrom Mathur (2009) basedon Census 2001 data.
Data on poverty from
Greater t han4mn
1-2mn
500,000-1mn
100,000-
500,000
Less than
100,000
Slum Population, Distribution by
City Size (2001)
75%
80%
85%
90%
95%
100%
1983 1993-94 2004-05
ShareofUrb
anPoor
NSSRound
Distribution of the Poor by CitySize (1983-2004)
Large Cities (>1 million)
Small and Medium
Cities
0%
10%
20%
30%
40%
50%
60%
70%
80%90%
100%
Share of urban poor (2003-04) Share of slum population (2001)
PercentageShare
Large Cities
(>1million)
Small and
Medium
Cities
Share of Urban poverty and slum population by city size
2-4mn
Medium and small cities havea larger share of the poor anda slightly larger share of slumpopulation than the million pluscities. It is not clear, however,that the data accurately capturethe extent of slums, particularlyin smaller towns.
UrbanPovertyandLiveliho
ods
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
63/98
Social Safety Nets
Safety Nets
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
64/98
Safety Nets
[58]
SocialSafetyNets
India has a weak and fragmented urban social safety net, in spiteof changes in poverty, inequality and informality over the 2000s.
Multiple actors and programmes are involved in creating andmaintaining the various pieces of the urban social safety nets that existin India. This section maps the broad delegation of roles, priorities andtarget groups across ministries and programmes. The complexity of theroles and connections between institutions obscures clear analysis on
entitlements and delivery mechanisms. This section illustrates that theurban social safety net is in reality a complex and fragmented system,which has included urban India as more of an afterthought rather thana specific space for intervention. It is hence marked by ambiguousbudgetary allocations and almost no way to measure or trackdevelopmental outcomes.
The first map on urban social safety nets highlights most programmesand schemes for identified target groups. It attempts to portray thecurrent imagination on how to address the acknowledged needs of these
target groups. The second indicates the multiplicity and overlapof programmes and schemes that seek to address these needs by targetgroups. The third then clusters some overarching operational themesand the programmes that seek to address them. The last map depicts thenumber of central ministries that intervene in each operational themethrough the various schemes and programmes they fund.
The figures here are based on research that a typical urban citizen could
undertake: consultation of primary sources (e.g. agency websites),interviews with officials as available, and learning from secondarysources. They remain incomplete because publicly available reportingstructures, particularly for programmes that are operational in bothrural and urban areas, do not clearly convey the intended number ofbeneficiaries in urban areas and the allocation of resources intended forthem. Thus, while the letter of these interventions broadly articulatesurban inclusion, the implementation and reporting mechanisms pointmore to their absence in urban areas.
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
65/98
Mapping the Urban Social Safety Net: Programmes for Intended Target Groups
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
66/98
Benefit and Budget Specifically and/orExclusively in Urban Areas
Benefit and Budget Split across Rural andUrban Areas
Scheme/Programme in Which theBenefits and Budget is Specifically and/or
Exclusively in Urban Areas
Scheme/Programme in Which theBenefits and Budget is Split across
Rural and Urban Areas
* 2009-10 Budget Estimates
** Cumulative Budget Estimates
pp g b y g g p
[60]
Source:"Mapping the UrbanSocial Safety Net,"IIHS Working Paper, Mimeo.
Idicheria, Charis. (2011).
POOR
SLUM DWELLERSE WS /L IG
APL
BP L
AAY
BPL UNORGANISEDWOR KE R S
SENIORCITIZENS
DIFFERENTLY
ABLED
VULNERABLE CHILDRENSTUDENTS
GIRLS
WOR KING C HIL DR E N
C HIL DR E N/
MINOR S
ADOLESCENTGIRLS (AG)
W O M E N
WOME N IN
CHALLENGING SITUATIONS
BSUPRE: 1014.73 crores
IHSDPRE: 215.35 croresISHUP
2.69 crores **
UFWSRE: 182 crores
UHCSDHBP underNPCDCS (NS)
JSYRE: 1475 crores*
TPDS45356 crores
MDMS6937.79 crores*
SSABE 40503 crores
IDESSRE: 57.77 crores
NSAPRE: 3923.38 crores
RSBYRE: 264.51 crores*
NCLPBE: 135 crores
ICDSRE: 9280 crores
IGMSY101 crore**
RSEAG328 crores **
SHWWBE: 15 crores
SwadharBE: 34.21 crores
ICPS
BE: 300 crores
TCE2.84 crores **
DDRS(NS)
IPOP
(NS)
BPL SENIOR CITIZENS
SJSRYRE: 425. 04 crores
ICLSRE: 68.09 crores
RANRE: 729.63 L
UTBSD under RNTCPRE: x/ 350 crores
BPL DIFFEREN TLY ABLED
B PL WOME N
SocialSafetyNets
Mapping the Urban Social Safety Net: Programmes and their Operational Themes
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
67/98
pp g y g p
[61]
Source:"Mapping the UrbanSocial Safety Net,"IIHS Working Paper, Mimeo.
Idicheria, Charis. (2011).
Benefits and Budgets Specifically and/or Exclusively in Urban Areas
Benefits and Budgets Split acrossRural and Urban Areas
*2009-10 Budget Estimates
** Cumulative Budget Estimates
Schemes/Programmes in which
benefits and budgets are splitbetween Rural and Urban Areas
Schemes/Programmes in whichbenefits and budgets are specificallyand/or exclusively in Urban Areas
H ousi ng / She l t e r(Cons t ruc t i on
a n d I m p r o v e m e n t)
Livel ihoods/ Em pl oym ent
H eal t hN ut r i t i on /
Food Secur i t yEduca t i onSocial Securi ty Pover t y
Alleviation
BSUPRE: 1014.73 crores
IHSDPRE: 215.35 crores
UTBSD under RNTCPRE: x/ 350 crores
ICLSRE: 68.09 crores
SJSRYRE: 425. 04
crores
JSYRE: 1475 crores*
TPDS45356 crores
ICPSBE: 300 crores
MDMS6937.79crores*
IGMSY101 crore**
IPOP (NS)
SSABE 40503
crores
RANRE: 729.63 L
DDRSNS
ISHUP2.69 crores **
RSEAG328 crores **
NSAPRE: 3923.38 crores
RSBYRE: 264.51 crores*
SHWWBE: 15 crores
ICDSRE: 9280 crores
UHCSDHBP under NPCDCS(NS)
ULC under NLEPRE: x/45.32 crores
P r o g r a m m e s a n dSchem es t ha t Focus on aS i ng le A rea o f t he U rbanSocial Safety Net
P r o g r a m m e s a n dSchem es t ha t Focus onMore t han O ne A rea o f t he U rban Soc i a l Safe t y N et
IDESSRE: 57.77 crores
TCE2.84 crores **
UMS under NVDBCP(RE: x/424.95 crores)
NCLPBE: 135 crores
UFWSRE: 182 crores
SwadharBE: 34.21 crores
SocialSafetyNets
Mapping the Urban Social Safety Net: Ministries and their Operational Themes
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
68/98
Min is t ry o f U r b a n D e ve l o p m e n t
pp g y p
[62]
Source:"Mapping the UrbanSocial Safety Net,"IIHS Working Paper, Mimeo.
Idicheria, Charis. (2011).
Hous ing /She l t e r
(C ons t ruc t iona n d I m p r o v e m e n t )
Livelihoods/
E m p l o y m e n tHea l th
Nu t r i t i on / Food S ecu r i ty
E duca t ion Soc ia l Secu r i ty Poverty Alleviation
Min i s t ry o f Hous inga n d U r b a n P o v er t y
Alleviation
Min i s t ry o f Hea l th andFami ly Wel fa re
Min i s t ry o f Hum an
R esou rce Deve lopmen t
Min i s t ry o f R ura l
Deve lopmen t
Min i s t ry o f L abour and E m ploymen t
Min i s t ry o f Wom en andC h i ld Deve lopmen t
Min i s t ry o f C onsumer Af fa i r s ,Food & Pub l i c Di s t r ibu t ion
4 Ministries 4 Ministries 4 Ministries 4 Ministries 6 Ministries 2 Ministries 4 Ministries
Min is t ry o f Soc ia l Ju s t i c e& E mploymen t
SocialSafetyNets
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
69/98
Urban Infrastructure & Services
Urban Infrastructure & Services
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
70/98
[64]
Indias urban infrastructure and services are the basic foundations forsettlements economic, social, cultural, and environmental dynamics.Improving them is more than a matter of investment targets and per
capita access; these are strategic investments in the structure,functionality, liveability, and sustainability of Indias cities.
Much of urban Indias infrastructure is in relatively poor shape,especially in the non-metropolitan cities. The JNNURM has startedchanging that for a fraction of the cities in the country, but theinvestment and absorption deficits are so large that is becomingdifficult even to catch-up with the expanding informality and growthin city sizes.
The following pages present some selected highlights of research anddata analysis from the last decade on Indias urban infrastructure andservices. Unfortunately, there are few comprehensive sources on urbaninfrastructure and services across sectors - the patchwork here
is as much by necessity as choice.
On each page, we mention some of the relevant service levelbenchmarks provided by the Ministry of Urban Development in 2008,which have been incorporated as progress benchmarks in the ThirteenthFinance Commission Report and as the basis for calculating investmentneeds in the HPEC (2011) Report on Indian Urban Infrastructure andServices. These can be and are debated in terms of feasibility anddesirability, but they are the de facto policy standard.
The figures on access to the services, taken from analysis of Census2001 data in the World Banks (draft) India Urbanisation Reviewpresents a striking contrast to these norms. The graphs also highlightsignificant discrepancies between cities of different sizes in terms
of both providing and accessing basic infrastructure and services.The location of more competitive or higher tech employment highlighted in the section Economic Geography - is understandablycorrelated with better infrastructure.
The pages are also meant to initiate a discussion on the consequencesof incomplete infrastructure and services. Unreliable electricityprovision, for example, affects businesses prospects, especially for
smaller enterprises that may not be able to afford backup power. Whenone considers that much of urban employment is in the informal sector,and often self-employed sole-proprietor enterprises, the figures on costto business are obviously an underestimate. Use of backup generatorsis also environmentally unsustainable. Similarly, the page on transporthighlights the ongoing shift away from public transport via bus towardroad-based private transport. Current investment patterns in urbaninfrastructure, discussed in the section on Urban Investment, appearto reinforce this environmentally challenging trend.
Finally, we present some hints of the ways of how the currentinfrastructure gaps are filled through informal privatisation: useof borewells and generators, for example, as well as reliance on waste-
pickers and other informal and small scale entrepreneurs for solid wastemanagement. With much of the discussion about private provisionof urban infrastructure focused on PPPs and larger-scale privatefinance, we felt that it was worthwhile to expand the discussion to otheraspects of non-public provision.
The final page represents urban infrastructure provision as it may lookfrom a citizens (or other monitors) perspective. The chart outlinessome of the different agencies that are involved in providing the 18constitutionally mandated functions of ULBs, showing that both thenumber and density of service providers is disparate between these largecities. The list, generated by the Public Record Of Operations andFinance (PROOF) initiative at Janaagraha Centre for Citizenship andDemocracy, is meant to highlight some of the fragmentation
of responsibilities and finance and is not necessarily comprehensivein covering every single urban service provider in these cities.
UrbanInfrastructure&Services
Urban Water Supply
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
71/98
[65]
Sources:India Urbanisation Review (mimeo)based on Census 2011, Text: HPEC(2011), Coping Costs:Raghupathi (2003)
Access: World Bank (2011)
Drinking Water Access (2001)
010
2030405060708090
100
I II III IV V VI Rural
%ofHouseholdswithAccess
Cit y Class
Safe
Drinking
Water
Tap
Drinking
Water
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
Public Connection
Private Connection
Private Water
Tanker
Standpost (Water
Transportation
Cost)
MonthlyC
ostsfor500litres/day(Rs)
Coping Costs of Water Supply (2001)
Access varies substantially by city size, with themost significant gaps in smaller cities.
No Indian city has 24 x 7 water supply. Duration of water supplyranges from 1-6 hours.
M i n i s t r y o f U r b a n D e v el o p m e n t S e r v i ce - L e ve l B e n c h m a r k s ( 2 0 0 8 )
Acces s: 100% individual piped watersupply for all households includinginformal settlements.
Re liab ilit y : 24 x 7water supply forall cities.
Supply: Per capitaconsumption of 135 liters percapita per day
UrbanInfrastructure&Services
Sanitation & Drainage
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
72/98
[66]
0
10
20
30
40
50
60
70
I II III IV V VI Rural
%ofHouseholdswithAccess
Drainage (2001)
Closed Drain Open Drain No Drain
0
10
20
30
40
50
60
70
80
90
I II III IV V VI Rural
%ofHouseholdswithAccess
Access to Latrine (2001)
Access to Latr ine (Water Closet) Pit or Other Latrine
Improved access to latrines and drainage is one matter, but large and dense cities require networks to collect, manage and recycle/treat waste-which areoften missing, fractured or dysfunctional. Though Sanitation and Drainage are managed as separate departments in many cities, they are componentsof a complex interlinked urban waste management system.
Access in the chart above includes shared and community toilets as wellas private latrines. As of 2010, more than 30% of urban households onlyaccess to a latrine was through shared or community toilets. Nearly 20%of non-notified slums and 10% of notified slums had no accessto a latrine Sacosan (2011).
Nearly 94% of Indias cities do not have even a partial sewerage networkand less than 20% of the road network is covered by storm water drains.(HPEC,2010) Only 13.5% of waste water is treated. (Sacosan, 2011)
M i n i s t r y o f U r b a n D e v el o p m e n t S e r v i ce - L e ve l B e n c h m a r k s ( 2 0 0 8 )
Underground Sewerage systemsfor all cities.
100% collection andtreatment of waste-water
Storm water drains for 100%of the road length on both sidesof the road for all cities.
Sources:India Urbanisation Review (mimeo)based on Census 2011, Text:As Noted
Access: World Bank (2011)
UrbanInfrastructure&Services
Solid Waste Management
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
73/98
Source: See end note
0102030405060708090
Sto
rageatSource
Segregation
Prim
aryCollection
StreetSweeping
StorageDepot
Transport
Processing
DisposalP
ercentageCompliance
Compliance with MSW Rules 2000 (2004 est)
0
2
4
6
8
10
12
14
Mumbai
Delhi
Kolkata
Chennai
Bangalore
Hy
derabad
Ahm
edabad
Pune
Surat
Jaipur
Tons/day(1000s)
Solid Waste Generated (2011 est)
Fi l ling the Gap s : The Role of Was te -Pickers
There are at least 15 lakh waste-pickers and itinerant waste buyers in India - Bangalore BBMP has 15,000. (AIW, 2009) These workers makea substantial contribution to solid waste management as well as environmental sustainability. Their work saves nearly a million tonnes of CO2equivalent, in Delhi, and manages 59% of the waste in certain pockets, saving the city over Rs. 12 lakhs in labour cost alone. (Chintan, 2009) In Pune,waste pickers recover recyclable materials amounting to 22% of municipal solid waste, saving the city 12 crores per annum in waste handling costs.(Chikarmane et al, 2001)
M i n i s t r y o f U r b a n D e v el o p m e n t S e r v i ce - L e ve l B e n c h m a r k ( 2 0 0 8 )100% of Municipal Solid Waste collected, transported, and treated for all cities as per MSW 2000 Rules
[67]
UrbanInfrastructure&Services
Urban Transport
-
7/31/2019 Iuc Book_22!03!12-Soft Bound Isbn
74/98
Source: IIHS Analysis from varioussources, see Endnotes
[68]
UrbanInfrastructure&Services
0
20
40
60
80
100
1951 1961 1971 1981 1991 2001 2009
PercentageShare
Vehicular Composition in India (1951 - 2009)
Others
Goods Vehicles
Buses
Cars, Je