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Understanding the tipping point of urban conflict: The case of Patna, India 
Dennis Rodgers, Shivani Satija & Alakh Sharma 
BWPI, University of Manchester (UK) 
& Institute for Human Development (India)
Laloo and Nitish
Patna as a counterfactual 
 
Case study explores the reversal of a tipping point, and focusing on the factors and processes that led to violence in the city declining. 
 
Counterfactuals are useful to demonstrate the contingency of assumptions that underpin particular theoretical constructs, and facilitate “imaginative leaps in theory and hypothesis formation” (Lebow, 2010: 5)
Crime and rates of crime in Patna 2003 & 2009 
Source: NCRB (http://ncrb.nic.in/) 
Categories 
2003 
Crime Rate per 100000 
2009 
Crime Rate per 100000 
Total cognizable crime 
6545 
383.4 
8806 
515.9 
Murder 
260 
15.2 
137 
8 
Dacoity 
59 
3.5 
16 
0.9 
Robbery 
594 
34.8 
179 
10.5 
Arson 
31 
1.8 
4 
0.2 
Violence against SCs 
NR 
NR 
NR 
NR 
Burglary 
377 
22.1 
537 
31.5 
Theft 
1367 
80.1 
2247 
131.6
Disaggregated Patna crime 2003 & 2009 
Source: Patna Police 
Police Jurisdiction 
Murder 
Theft 
2003 
2009 
2003 
2009 
Buddha Colony 
6 
4 
73 
44 
Patrakar Nagar 
3 
2 
37 
45 
Jakkanpur 
18 
5 
31 
34 
Phulwarisharif 
8 
9 
57 
30 
Sultanganj 
27 
6 
27 
10 
Agamkuan 
13 
5 
34 
36 
Malsalami 
4 
11 
10 
23 
Didarganj 
2 
4 
14 
18
Patna wards (2011) 
Source: DFID India
Patna slum survey 
No. of households 
No. of households surveyed 
Coverage 
Buddha Colony slum 
12 
12 
100% 
North Mandiri slum 
42 
39 
93% 
Mansoorganj slum 
100 
90 
90% 
Sultanganj slum area 
Dom Khana slum 
17 
15 
88% 
Musahartoli slum 
14 
12 
86% 
New Ambedkar Colony slum 
303 
253 
83% 
Sultanganj slum area total 
334 
280 
84% 
Sultanganj surrounding slums 
Abdul Bari Colony slum 
73 
67 
92% 
Old Ambedkar Colony Mehtartoli slum 
210 
176 
84% 
Total households surveyed 
771 
664 
86%
Conclusions 
• 
Violence-reduction campaign has had unintentional consequences – rise of domestic violence in slums 
• 
Mundane conflicts can become polarized along more deep-rooted fault-lines 
• 
Containment of violence = spatial bias 
• 
Distribution of violence is critical to understanding the tipping point of urban conflict 
• 
Need for more inclusive planning
Policy recommendations 
Policy 
1 
Institutionalise access to hand pumps in Police stations for slum-dwelling women 
2 
Regulate illegal alcohol sales (increase tariffs on alcohol more generally) 
3 
Ensure women’s affairs officer in every Police station & provide with separate budget and authority OR put together mobile women’s officer units to visit slums on a rotating basis 
4 
Infrastructural improvements 
a) Build more toilets, water pumps in slums (BUT must include regular monitoring of good functioning AND prevention of “privatization”) 
b) More inclusive city-wide planning (introduce participatory planning processes – which will involve building of community halls) 
5 
Violence containment strategy needs to be less exclusive (introduce participatory security processes) 
6 
Regularising land tenure and ownership

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Understanding the Tipping Point of Urban Conflict: Patna

  • 1. Understanding the tipping point of urban conflict: The case of Patna, India Dennis Rodgers, Shivani Satija & Alakh Sharma BWPI, University of Manchester (UK) & Institute for Human Development (India)
  • 2.
  • 4. Patna as a counterfactual  Case study explores the reversal of a tipping point, and focusing on the factors and processes that led to violence in the city declining.  Counterfactuals are useful to demonstrate the contingency of assumptions that underpin particular theoretical constructs, and facilitate “imaginative leaps in theory and hypothesis formation” (Lebow, 2010: 5)
  • 5. Crime and rates of crime in Patna 2003 & 2009 Source: NCRB (http://ncrb.nic.in/) Categories 2003 Crime Rate per 100000 2009 Crime Rate per 100000 Total cognizable crime 6545 383.4 8806 515.9 Murder 260 15.2 137 8 Dacoity 59 3.5 16 0.9 Robbery 594 34.8 179 10.5 Arson 31 1.8 4 0.2 Violence against SCs NR NR NR NR Burglary 377 22.1 537 31.5 Theft 1367 80.1 2247 131.6
  • 6. Disaggregated Patna crime 2003 & 2009 Source: Patna Police Police Jurisdiction Murder Theft 2003 2009 2003 2009 Buddha Colony 6 4 73 44 Patrakar Nagar 3 2 37 45 Jakkanpur 18 5 31 34 Phulwarisharif 8 9 57 30 Sultanganj 27 6 27 10 Agamkuan 13 5 34 36 Malsalami 4 11 10 23 Didarganj 2 4 14 18
  • 7. Patna wards (2011) Source: DFID India
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  • 9. Patna slum survey No. of households No. of households surveyed Coverage Buddha Colony slum 12 12 100% North Mandiri slum 42 39 93% Mansoorganj slum 100 90 90% Sultanganj slum area Dom Khana slum 17 15 88% Musahartoli slum 14 12 86% New Ambedkar Colony slum 303 253 83% Sultanganj slum area total 334 280 84% Sultanganj surrounding slums Abdul Bari Colony slum 73 67 92% Old Ambedkar Colony Mehtartoli slum 210 176 84% Total households surveyed 771 664 86%
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  • 14. Conclusions • Violence-reduction campaign has had unintentional consequences – rise of domestic violence in slums • Mundane conflicts can become polarized along more deep-rooted fault-lines • Containment of violence = spatial bias • Distribution of violence is critical to understanding the tipping point of urban conflict • Need for more inclusive planning
  • 15. Policy recommendations Policy 1 Institutionalise access to hand pumps in Police stations for slum-dwelling women 2 Regulate illegal alcohol sales (increase tariffs on alcohol more generally) 3 Ensure women’s affairs officer in every Police station & provide with separate budget and authority OR put together mobile women’s officer units to visit slums on a rotating basis 4 Infrastructural improvements a) Build more toilets, water pumps in slums (BUT must include regular monitoring of good functioning AND prevention of “privatization”) b) More inclusive city-wide planning (introduce participatory planning processes – which will involve building of community halls) 5 Violence containment strategy needs to be less exclusive (introduce participatory security processes) 6 Regularising land tenure and ownership