Supplementary appendix

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1 Supplementary appendix This appendix formed part of the original submission and has been peer reviewed. We post it as supplied by the authors. Supplement to: Guilmoto CZ, Saikia N, Tamrakar V, Bora JK. Excess under-5 female mortality across India: a spatial analysis using 2011 census data. Lancet Glob Health 2018; 6: e

2 Appendix to: Excess female under-five deaths in India: estimates, regional distribution and socioeconomic correlates by Christophe Z Guilmoto, Nandita Saikia, Vandana Tamrakar, and Jayanta Kumar Bora Contents Appendix 1: Summary birth history method to estimate under-five mortality rate...2 Appendix 2: Application of the summary birth history method to the 2011 census data...4 Appendix 3: Estimation of the number of excess female births under five...6 References...7 Appendix 4: Estimated U5MR rate by sex, excess female under-five mortality rate, annual number of excess female deaths, India, states, and districts (attached as a supplementary document)...8 1

3 Appendix 1. Summary birth history method to estimate under-five mortality rate The indirect method of estimating of child mortality using fertility data was developed by demographers Brass and Coale in the 1960s (Brass 1964; Brass and Coale 1968) for countries lacking reliable death registration statistics. The so-called Brass method, also known as Summary Birth History (Hill 2013), is based only on two basic questions collected from women classified by age groups: 1) the number of children ever born and 2) the proportion still alive (or dead) at the time of the survey. The original Brass method has recorded several refinements by Trussell (Trussell 1975) and Palloni-Heligman (Palloni and Heligman1985) is widely used by international agencies (UN 1983; UN 1990; Hill 2013) as a standard procedure for the indirect estimation of infant and child mortality rates in countries with limited or deficient data. The summary birth history method was in particular one of the methods used by the United Nations Inter-agency Group for Child Mortality Estimation to track country specific changes in the key indicator for Millennium Development Goal 4 (Hill et al 2012). A recent comparative study confirmed the consistency and quality of the summary birth method for populations experiencing smooth mortality decline (Silva 2012), a situation applicable to India where mortality decline has been gradual over the last decades. Method, Assumptions, Steps and Limitations The only two pieces of information required for the application of summary birth history method are a) the aggregated numbers of children ever born and b) the children surviving reported by women classified by age group. The basic principle of this method is that the proportion of dead children among children born to women by age reflects the level of child mortality and that the proportions of deceased children can be converted into mortality rates with the help of fertility and child models. Since young mothers generally have young children, the proportion of children dead for such mothers reflects child mortality risks below age 1 or 2. In contrast, older mothers have a mix of young and older children that have been exposed to the risk of dying for longer periods. Estimation of under-five mortality using Brass method depends on several assumptions, viz. 1) The model patterns used represent the age patterns of fertility and child mortality. 2) Child mortality does not differ by five-year age grouping of mothers. 3) Mortality risks of children and of mothers are not correlated. 4) Mortality change has been both gradual and unidirectional in the recent past. 5) Cross-sectional average numbers of children ever born by age reflect the cohort patterns of childbearing. All these but the second assumption are applicable in the Indian scenario. The assumption that mortality of children does not vary by five-year grouping of mothers is generally incorrect. Children of young mothers appear to have systematically higher mortality than children born to women after age 25. As a result, indirect estimates derived from women aged and years tend to over-estimate the population-level child mortality. To avoid this, we used the best estimation strategy described in appendix 2. The third assumption is not valid in countries with high HIV prevalence and where there is a strong correlation between child and adult mortality. 2

4 The steps to apply the summary birth history method are the following: 1. Computation of the average number of children ever born and the proportions dead, For each five-year group (x, x + 5) of women, we divide the reported number of children born 5CEBx by the number of women 5Nx (irrespective of marital status) to compute the average number of children born (5Px). The proportions of children dead (5PDx) are calculated by dividing the number of children dead by the number ever born. 2. Selection a model life table family. Following the review of literature (Saikia et al 2013), we used South Asian pattern of United Nations model life tables. 3. Estimation of the mean age at fertility This age m is computed from age-specific fertility rates 5fx as follows: m 45 5 f x( x 2) x 15, x 15,5 f x, where x+2 is the mid-point of age group (x to x+5); 4. Estimation of mortality probabilities from the proportions of children deceased Once a model life table family j has been identified, the appropriate parameters a(x,j), b(x,j) and c(x,j) and d(x,j) are substituted into the following equation: 5 n q0 PD x 5 P15 5 P20 a( x, j) b( x, j) c( x, j) d( x, j) m P P 5 20 where nq0 is the probability of dying from birth till age n and the coefficients a, b, c and d are derived from standard values (UN Population Division 1983; 1991). 5. Estimation of the time reference of mortality estimates The time reference t(x) of each nq0 are computed with the following formula by using the parameters e(x,j), f(x,j) and g(x,j) computed from the model life table family j : t( x) P e( x, j) f ( x, j) 5 f ( x, j ), 5 P20 5 P25 The coefficients can be found in UN Population Division (1983; 1991) P 3

5 Appendix 2. Application of the summary birth history method to the 2011 census data Indirect estimates derived from information on various age groups of women provide a set of under-five mortality estimates corresponding to various reference period. While indirect estimates derived from younger women tend to overestimate the population-level under-five mortality, the same based on older women tend to underestimate the population level underfive mortality (Hill 2013). Therefore, we need to choose estimates that best represent the population-level U5MRs. To choose the best estimates, we did a detailed consistency analysis of census-based U5MRs with that obtained from National Family Health Survey (IIPS and Macro International 2007) Sample Registration System (Registrar General India 2012) and WHO (2017) estimates. Figure 1 compares estimates of U5MRs (female and male respectively) from the census with estimates from SRS (Sample Registration System), WPP, WHO and NFHS (National Family Health Survey). Census based estimates are shown by a red color line. Figure 1. Comparison of U5MR from Census based on information of women from various cohorts and other sources, India Figure 1 Note: Cs2011=2011 Census based estimates; SRSLT: estimates from Sample Registration System life tables; WPP2015: estimates from World Population Prospects, 2015; WHO LT: estimates from WHO life tables; NFHS 3=Estimates from National Family and Health Survey Each census under-five mortality rate is estimated on the basis of information by one particular age group of women. For instance, according to the information of aged women, the under-five female mortality is 143 (per 1000 live births) in As already pointed out, estimates based on the information of women aged are often unreliable and appear distinctly higher than corresponding SRS or WHO estimates. The highest level of concordance between census-based U5MRs and other estimates is observed for the estimates derived from the age group 35-39, which will be therefore retained for our district estimates. Figure 2 compare estimates based on age groups with estimates from other non-census sources. The reference period computed for these estimates is

6 Figure 2. Comparison of U5MR from Census based on information women aged and other sources, India Figure 2 Note: Cs2011=2011 Census based estimates; SRSLT: estimates from Sample Registration System life tables; WPP2015: estimates from World Population Prospects, 2015; WHO LT: estimates from WHO life tables; NFHS 3=Estimates from National Family and Health Survey

7 Appendix 3. Estimation of the number of female births under five To convert excess female mortality rates into absolute numbers of excess deaths, we first compute the size of the birth cohorts in by using the census figures and survival estimates during the decade preceding the census: where f B0 B f 0 (1996,2011) ( 1996,2011) 14 N f 0 (2011)* 14 =Female births between 1996 to 2011; 1 S f 0 14 N f 0 (2011) =Females of aged 0-14 during 2011 census f 14 S 0 = Female survival probability between age 0 and 14 taken from South Asian Life table for corresponding levels of female U5MR obtained in our indirect estimation. We divide this number of births during to get the average size of annual birth cohorts. 6

8 References of appendices Brass W., & Coale A. J., (1968). Methods of analysis and estimation. In Brass, W, AJ Coale, P Demeny, DF Heisel, et al. (Eds), The Demography of Tropical Africa. pp Princeton NJ: Princeton University Press. Brass, W., United Nations Economic and Social Council, and United Nations Economic Commission for Africa ( ) Uses of census and survey data for the estimation of vital rates. Paper presented at the UN ECA African Seminar on Vital Statistics, Addis Ababa, December Hill, K. (2013). Indirect estimation of child mortality. In Moultrie TA, RE Dorrington, AG Hill, K Hill, IM Timæus and B Zaba (Eds), Tools for Demographic Estimation. Pp Paris: International Union for the Scientific Study of Population. demographicestimation.iussp.org Hill, K., You, D., Inoue, M., & Oestergaard, M. Z. (2012). Child mortality estimation: accelerated progress in reducing global child mortality, PLoS medicine, 9(8), e International Institute for Population Sciences (IIPS) and Macro International.. National Family Health Survey (NFHS-3), : India: Mumbai: IIPS,2007 Palloni, A., & Heligman, L. (1985). Re-estimation of structural parameters to obtain estimates of mortality in developing countries. Population Bulletin of the United Nations, (18), 10. Registrar General India. SRS Based Abridged Life Tables to SRS Analytical Studies. Report No 1 of New Delhi, vital_statistics/ SRS_Based/ SRS_Based.html (accessed 11 August 2017). Saikia, N., Singh, A., & Ram, F. (2013). Adult male mortality in India: An application of the widowhood method. Asian Population Studies, 9(3), Silva, R. (2012). Child mortality estimation: consistency of under-five mortality rate estimates using full birth histories and summary birth histories. PLoS medicine, 9(8), e Trussell, T. J. (1975). A re-estimation of the multiplying factors for the Brass technique for determining childhood survivorship rates. Population studies, 29(1), UN (1990). Step by step guide to the estimation of child mortality. Population Studies, No 107. Available at epguide_childmort.pdf Accessed on 28 th November UN Population Division Manual X: Indirect Techniques for Demographic Estimation. New York: United Nations, Department of Economic and Social Affairs, ST/ESA/SER.A/81. manual10.html UN Population Division Child Mortality in Developing Countries. New York: United Nations, Department of Economic and Social Affairs, ST/ESA/SER.A/123. WHO Life Tables by Country India. view.main ? lang=en (accessed 11 August 2017). 7

9 Appendix 4. Estimated U5MR rate by sex, excess female under-five mortality rate, annual number of excess female deaths, India, states, and districts (attached as a supplementary document) (i) State U5MR (per 1000 live births) Male Female Excess female mortality rate below % confidence interval Lower bound Upper bound Annual number of excess female deaths below 5 95% confidence interval Lower bound Upper bound Jammu & Kashmir Himachal Pradesh Punjab Chnadigargh Uttarakhand Haryana Delhi Rajasthan Uttar Pradesh Bihar Sikkim Arunachal Pradesh Nagaland Manipur Mizoram Tripura Meghalaya Assam West Bengal Jharkhand Odisha Chhattisgarh

10 Madhya Pradesh Gujarat Daman and Diu Dadra and Nagar Haveli Maharashtra Andhra Pradesh Karnataka Goa Lakshadweep Kerala Tamil Nadu Puducherry Andaman & Nicobar Island India (ii) State Dist Name U5MR (per 1000 live births) Male Female Excess female mortality rate below 5 95% confidence interval Lower bound Upper bound Annual number of excess female deaths below 5 95% confidence interval Lower bound Jammu & Kashmir Kupwara Jammu & Kashmir Badgam Jammu & Kashmir Leh(Ladakh) Jammu & Kashmir Kargil Jammu & Kashmir Punch Jammu & Kashmir Rajouri Jammu & Kashmir Kathua Upper bound 9

11 Jammu & Kashmir Baramula Jammu & Kashmir Bandipore Jammu & Kashmir Srinagar Jammu & Kashmir Ganderbal Jammu & Kashmir Pulwama Jammu & Kashmir Shupiyan Jammu & Kashmir Anantnag Jammu & Kashmir Kulgam Jammu & Kashmir Doda Jammu & Kashmir Ramban Jammu & Kashmir Kishtwar Jammu & Kashmir Udhampur Jammu & Kashmir Reasi Jammu & Kashmir Jammu Jammu & Kashmir Samba Himachal Pradesh Chamba Himachal Pradesh Kangra Himachal Pradesh Lahul & Spiti Himachal Pradesh Kullu Himachal Pradesh Mandi Himachal Pradesh Hamirpur Himachal Pradesh Una Himachal Pradesh Bilaspur Himachal Pradesh Solan Himachal Pradesh Sirmaur Himachal Pradesh Shimla Himachal Pradesh Kinnaur Punjab Gurdaspur Punjab Kapurthala Punjab Jalandhar Punjab Hoshiarpur

12 Punjab Shahid Bhagat Singh Nagar Punjab Fatehgarh Sahib Punjab Ludhiana Punjab Moga Punjab Firozpur Punjab Muktsar Punjab Faridkot Punjab Bathinda Punjab Mansa Punjab Patiala Punjab Amritsar Punjab Tarn Taran Punjab Rupnagar Punjab Sahibzada Ajit Singh Nagar Punjab Sangrur Punjab Barnala Chnadigargh Chandigarh Uttarakhand Uttarkashi Uttarakhand Chamoli Uttarakhand Rudraprayag Uttarakhand Tehri Garhwal Uttarakhand Dehradun Uttarakhand Garhwal Uttarakhand Pithoragarh Uttarakhand Bageshwar Uttarakhand Almora Uttarakhand Champawat Uttarakhand Nainital Uttarakhand Udham Singh Nagar Uttarakhand Hardwar Haryana Panchkula

13 Haryana Ambala Haryana Yamunanagar Haryana Kurukshetra Haryana Kaithal Haryana Karnal Haryana Panipat Haryana Sonipat Haryana Jind Haryana Fatehabad Haryana Sirsa Haryana Hisar Haryana Bhiwani Haryana Rohtak Haryana Jhajjar Haryana Mahendragarh Haryana Rewari Haryana Gurgaon Haryana Mewat Haryana Faridabad Haryana Palwal Delhi North West Delhi North Delhi North East Delhi East Delhi New Delhi Delhi Central Delhi West Delhi South West Delhi South Rajasthan Ganganagar Rajasthan Hanumangarh

14 Rajasthan Bikaner Rajasthan Churu Rajasthan Jhunjhunun Rajasthan Alwar Rajasthan Bharatpur Rajasthan Dhaulpur Rajasthan Karauli Rajasthan Sawai Madhopur Rajasthan Dausa Rajasthan Jaipur Rajasthan Sikar Rajasthan Nagaur Rajasthan Jodhpur Rajasthan Jaisalmer Rajasthan Barmer Rajasthan Jalor Rajasthan Sirohi Rajasthan Pali Rajasthan Ajmer Rajasthan Tonk Rajasthan Bundi Rajasthan Bhilwara Rajasthan Rajsamand Rajasthan Dungarpur Rajasthan Banswara Rajasthan Chittaurgarh Rajasthan Kota Rajasthan Baran Rajasthan Jhalawar Rajasthan Udaipur Rajasthan Pratapgarh

15 Uttar Pradesh Saharanpur Uttar Pradesh Muzaffarnagar Uttar Pradesh Bijnor Uttar Pradesh Moradabad Uttar Pradesh Rampur Uttar Pradesh Jyotiba Phule Nagar Uttar Pradesh Meerut Uttar Pradesh Baghpat Uttar Pradesh Ghaziabad Uttar Pradesh Gautam Buddha Nagar Uttar Pradesh Bulandshahr Uttar Pradesh Aligarh Uttar Pradesh Mahamaya Nagar Uttar Pradesh Mathura Uttar Pradesh Agra Uttar Pradesh Firozabad Uttar Pradesh Mainpuri Uttar Pradesh Budaun Uttar Pradesh Bareilly Uttar Pradesh Pilibhit Uttar Pradesh Shahjahanpur Uttar Pradesh Kheri Uttar Pradesh Sitapur Uttar Pradesh Hardoi Uttar Pradesh Unnao Uttar Pradesh Lucknow Uttar Pradesh Rae Bareli Uttar Pradesh Farrukhabad Uttar Pradesh Kannauj Uttar Pradesh Etawah Uttar Pradesh Auraiya

16 Uttar Pradesh Kanpur Dehat Uttar Pradesh Kanpur Nagar Uttar Pradesh Jalaun Uttar Pradesh Jhansi Uttar Pradesh Lalitpur Uttar Pradesh Hamirpur Uttar Pradesh Mahoba Uttar Pradesh Banda Uttar Pradesh Chitrakoot Uttar Pradesh Fatehpur Uttar Pradesh Pratapgarh Uttar Pradesh Kaushambi Uttar Pradesh Allahabad Uttar Pradesh Bara Banki Uttar Pradesh Faizabad Uttar Pradesh Ambedkar Nagar Uttar Pradesh Sultanpur Uttar Pradesh Bahraich Uttar Pradesh Shrawasti Uttar Pradesh Balrampur Uttar Pradesh Gonda Uttar Pradesh Siddharthnagar Uttar Pradesh Basti Uttar Pradesh Sant Kabir Nagar Uttar Pradesh Mahrajganj Uttar Pradesh Gorakhpur Uttar Pradesh Kushinagar Uttar Pradesh Deoria Uttar Pradesh Azamgarh Uttar Pradesh Mau Uttar Pradesh Ballia

17 Uttar Pradesh Jaunpur Uttar Pradesh Ghazipur Uttar Pradesh Chandauli Uttar Pradesh Varanasi Uttar Pradesh Sant Ravidas Nagar (Bhadohi) Uttar Pradesh Mirzapur Uttar Pradesh Sonbhadra Uttar Pradesh Etah Uttar Pradesh Kanshiram Nagar Bihar Pashchim Champaran Bihar Purba Champaran Bihar Sheohar Bihar Sitamarhi Bihar Madhubani Bihar Supaul Bihar Araria Bihar Kishanganj Bihar Purnia Bihar Katihar Bihar Madhepura Bihar Saharsa Bihar Darbhanga Bihar Muzaffarpur Bihar Gopalganj Bihar Siwan Bihar Saran Bihar Vaishali Bihar Samastipur Bihar Begusarai Bihar Khagaria Bihar Bhagalpur

18 Bihar Banka Bihar Munger Bihar Lakhisarai Bihar Sheikhpura Bihar Nalanda Bihar Patna Bihar Bhojpur Bihar Buxar Bihar Kaimur (Bhabua) Bihar Rohtas Bihar Aurangabad Bihar Gaya Bihar Nawada Bihar Jamui Bihar Jehanabad Bihar Arwal Sikkim North District Sikkim West District Sikkim South District Sikkim East District Arunachal Pradesh Tawang Arunachal Pradesh West Kameng Arunachal Pradesh East Kameng Arunachal Pradesh Papum Pare Arunachal Pradesh Upper Subansiri Arunachal Pradesh West Siang Arunachal Pradesh East Siang Arunachal Pradesh Upper Siang Arunachal Pradesh Changlang Arunachal Pradesh Tirap Arunachal Pradesh Lower Subansiri

19 Arunachal Pradesh Kurung Kumey Arunachal Pradesh Dibang Valley Arunachal Pradesh Lower Dibang Valley Arunachal Pradesh Lohit Arunachal Pradesh Anjaw Nagaland Mon Nagaland Mokokchung Nagaland Zunheboto Nagaland Wokha Nagaland Dimapur Nagaland Phek Nagaland Tuensang Nagaland Longleng Nagaland Kiphire Nagaland Kohima Nagaland Peren Manipur Senapati Manipur Tamenglong Manipur Churachandpur Manipur Bishnupur Manipur Thoubal Manipur Imphal West Manipur Imphal East Manipur Ukhrul Manipur Chandel Mizoram Mamit Mizoram Kolasib Mizoram Aizawl Mizoram Champhai Mizoram Serchhip Mizoram Lunglei

20 Mizoram Lawngtlai Mizoram Saiha Tripura West Tripura Tripura South Tripura Tripura Dhalai Tripura North Tripura Meghalaya West Garo Hills Meghalaya East Garo Hills Meghalaya South Garo Hills Meghalaya West Khasi Hills Meghalaya Ribhoi Meghalaya East Khasi Hills Meghalaya Jaintia Hills Assam Kokrajhar Assam Dhubri Assam Goalpara Assam Barpeta Assam Morigaon Assam Nagaon Assam Sonitpur Assam Lakhimpur Assam Dhemaji Assam Tinsukia Assam Dibrugarh Assam Sivasagar Assam Jorhat Assam Golaghat Assam Karbi Anglong Assam Dima Hasao Assam Cachar Assam Karimganj

21 Assam Hailakandi Assam Bongaigaon Assam Chirang Assam Kamrup Assam Kamrup Metropolitan Assam Nalbari Assam Baksa Assam Darrang Assam Udalguri West Bengal Darjiling West Bengal Jalpaiguri West Bengal Koch Bihar West Bengal Uttar Dinajpur West Bengal Dakshin Dinajpur West Bengal Maldah West Bengal Murshidabad West Bengal Birbhum West Bengal Barddhaman West Bengal Nadia West Bengal North Twenty Four Parganas West Bengal Hugli West Bengal Bankura West Bengal Puruliya West Bengal Haora West Bengal Kolkata West Bengal South Twenty Four Parganas West Bengal Paschim Medinipur West Bengal Purba Medinipur Jharkhand Garhwa Jharkhand Chatra Jharkhand Kodarma

22 Jharkhand Giridih Jharkhand Deoghar Jharkhand Godda Jharkhand Sahibganj Jharkhand Pakur Jharkhand Dhanbad Jharkhand Bokaro Jharkhand Lohardaga Jharkhand Purbi Singhbhum Jharkhand Palamu Jharkhand Latehar Jharkhand Hazaribagh Jharkhand Ramgarh Jharkhand Dumka Jharkhand Jamtara Jharkhand Ranchi Jharkhand Khunti Jharkhand Gumla Jharkhand Simdega Jharkhand Pashchimi Singhbhum Jharkhand Saraikela-Kharsawan Odisha Bargarh Odisha Jharsuguda Odisha Sambalpur Odisha Debagarh Odisha Sundargarh Odisha Kendujhar Odisha Mayurbhanj Odisha Baleshwar Odisha Bhadrak Odisha Kendrapara

23 Odisha Jagatsinghapur Odisha Cuttack Odisha Jajapur Odisha Dhenkanal Odisha Anugul Odisha Nayagarh Odisha Khordha Odisha Puri Odisha Ganjam Odisha Gajapati Odisha Kandhamal Odisha Baudh Odisha Subarnapur Odisha Balangir Odisha Nuapada Odisha Kalahandi Odisha Rayagada Odisha Nabarangapur Odisha Koraput Odisha Malkangiri Chhattisgarh Koriya Chhattisgarh Surguja Chhattisgarh Jashpur Chhattisgarh Raigarh Chhattisgarh Korba Chhattisgarh Janjgir - Champa Chhattisgarh Bilaspur Chhattisgarh Kabeerdham Chhattisgarh Rajnandgaon Chhattisgarh Durg Chhattisgarh Raipur

24 Chhattisgarh Mahasamund Chhattisgarh Dhamtari Chhattisgarh Uttar Bastar Kanker Chhattisgarh Bastar Chhattisgarh Narayanpur Chhattisgarh Dakshin Bastar Dantewada Chhattisgarh Bijapur Madhya Pradesh Sheopur Madhya Pradesh Morena Madhya Pradesh Bhind Madhya Pradesh Gwalior Madhya Pradesh Datia Madhya Pradesh Shivpuri Madhya Pradesh Tikamgarh Madhya Pradesh Chhatarpur Madhya Pradesh Panna Madhya Pradesh Sagar Madhya Pradesh Damoh Madhya Pradesh Satna Madhya Pradesh Rewa Madhya Pradesh Umaria Madhya Pradesh Neemuch Madhya Pradesh Mandsaur Madhya Pradesh Ratlam Madhya Pradesh Ujjain Madhya Pradesh Shajapur Madhya Pradesh Dewas Madhya Pradesh Dhar Madhya Pradesh Indore Madhya Pradesh Khargone (West Nimar) Madhya Pradesh Barwani

25 Madhya Pradesh Rajgarh Madhya Pradesh Vidisha Madhya Pradesh Bhopal Madhya Pradesh Sehore Madhya Pradesh Raisen Madhya Pradesh Betul Madhya Pradesh Harda Madhya Pradesh Hoshangabad Madhya Pradesh Katni Madhya Pradesh Jabalpur Madhya Pradesh Narsimhapur Madhya Pradesh Dindori Madhya Pradesh Mandla Madhya Pradesh Chhindwara Madhya Pradesh Seoni Madhya Pradesh Balaghat Madhya Pradesh Guna Madhya Pradesh Ashoknagar Madhya Pradesh Shahdol Madhya Pradesh Anuppur Madhya Pradesh Sidhi Madhya Pradesh Singrauli Madhya Pradesh Jhabua Madhya Pradesh Alirajpur Madhya Pradesh Khandwa (East Nimar) Madhya Pradesh Burhanpur Gujarat Kachchh Gujarat Banas Kantha Gujarat Patan Gujarat Mahesana Gujarat Sabar Kantha

26 Gujarat Gandhinagar Gujarat Ahmadabad Gujarat Surendranagar Gujarat Rajkot Gujarat Jamnagar Gujarat Porbandar Gujarat Junagadh Gujarat Amreli Gujarat Bhavnagar Gujarat Anand Gujarat Kheda Gujarat Panch Mahals Gujarat Dohad Gujarat Vadodara Gujarat Narmada Gujarat Bharuch Gujarat The Dangs Gujarat Navsari Gujarat Valsad Gujarat Surat Gujarat Tapi Daman and Diu Diu Daman and Diu Daman Dadra and Nagar Haveli Dadra & Nagar Haveli Maharashtra Nandurbar Maharashtra Dhule Maharashtra Jalgaon Maharashtra Buldana Maharashtra Akola Maharashtra Washim Maharashtra Amravati

27 Maharashtra Wardha Maharashtra Nagpur Maharashtra Bhandara Maharashtra Gondiya Maharashtra Gadchiroli Maharashtra Chandrapur Maharashtra Yavatmal Maharashtra Nanded Maharashtra Hingoli Maharashtra Parbhani Maharashtra Jalna Maharashtra Aurangabad Maharashtra Nashik Maharashtra Thane Maharashtra Mumbai Suburban Maharashtra Mumbai Maharashtra Raigarh Maharashtra Pune Maharashtra Ahmadnagar Maharashtra Bid Maharashtra Latur Maharashtra Osmanabad Maharashtra Solapur Maharashtra Satara Maharashtra Ratnagiri Maharashtra Sindhudurg Maharashtra Kolhapur Maharashtra Sangli Andhra Pradesh Adilabad Andhra Pradesh Nizamabad Andhra Pradesh Karimnagar

28 Andhra Pradesh Medak Andhra Pradesh Hyderabad Andhra Pradesh Rangareddy Andhra Pradesh Mahbubnagar Andhra Pradesh Nalgonda Andhra Pradesh Warangal Andhra Pradesh Khammam Andhra Pradesh Srikakulam Andhra Pradesh Vizianagaram Andhra Pradesh Visakhapatnam Andhra Pradesh East Godavari Andhra Pradesh West Godavari Andhra Pradesh Krishna Andhra Pradesh Guntur Andhra Pradesh Prakasam Andhra Pradesh Sri Potti Sriramulu Nellore Andhra Pradesh Y.S.R Andhra Pradesh Kurnool Andhra Pradesh Anantapur Andhra Pradesh Chittoor Karnataka Belgaum Karnataka Bagalkot Karnataka Bijapur Karnataka Bidar Karnataka Raichur Karnataka Koppal Karnataka Gadag Karnataka Dharwad Karnataka Uttara Kannada Karnataka Haveri Karnataka Bellary

29 Karnataka Chitradurga Karnataka Davanagere Karnataka Shimoga Karnataka Udupi Karnataka Chikmagalur Karnataka Tumkur Karnataka Bangalore Karnataka Mandya Karnataka Hassan Karnataka Dakshina Kannada Karnataka Kodagu Karnataka Mysore Karnataka Chamarajanagar Karnataka Gulbarga Karnataka Yadgir Karnataka Kolar Karnataka Chikkaballapura Karnataka Bangalore Rural Karnataka Ramanagara Goa North Goa Goa South Goa Lakshadweep Lakshadweep Kerala Kasaragod Kerala Kannur Kerala Wayanad Kerala Kozhikode Kerala Malappuram Kerala Palakkad Kerala Thrissur Kerala Ernakulam Kerala Idukki

30 Kerala Kottayam Kerala Alappuzha Kerala Pathanamthitta Kerala Kollam Kerala Thiruvananthapuram Tamil Nadu Thiruvallur Tamil Nadu Chennai Tamil Nadu Kancheepuram Tamil Nadu Vellore Tamil Nadu Tiruvannamalai Tamil Nadu Viluppuram Tamil Nadu Salem Tamil Nadu Namakkal Tamil Nadu Erode Tamil Nadu The Nilgiris Tamil Nadu Dindigul Tamil Nadu Karur Tamil Nadu Tiruchirappalli Tamil Nadu Perambalur Tamil Nadu Ariyalur Tamil Nadu Cuddalore Tamil Nadu Nagapattinam Tamil Nadu Thiruvarur Tamil Nadu Thanjavur Tamil Nadu Pudukkottai Tamil Nadu Sivaganga Tamil Nadu Madurai Tamil Nadu Theni Tamil Nadu Virudhunagar Tamil Nadu Ramanathapuram Tamil Nadu Thoothukkudi

31 Tamil Nadu Tirunelveli Tamil Nadu Kanniyakumari Tamil Nadu Dharmapuri Tamil Nadu Krishnagiri Tamil Nadu Coimbatore Tamil Nadu Tiruppur Puducherry Yanam Puducherry Puducherry Puducherry Mahe Puducherry Karaikal Andaman & Nicobar Islands Nicobars Andaman & Nicobar Islands North & Middle Andaman Andaman & Nicobar Islands South Andaman