Household Consumer Expenditure, NSS 63rd Round : July 2006 - June 2007
NSS 63rd Round

India, 2006 - 2007

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Reference ID

DDI-IND-MOSPI-NSSO-63Rnd-Sch1.0-2006-07

Producer(s)

National Sample Survey Office

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Household Consumption Expenditure

Metadata

DDI/XML JSON

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Jan 18, 2018

Last modified

Mar 27, 2019

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Unique identifier for a district (St_District)

Data file: Block 8_Household expenditure on footwear

Overview

Valid: 195349

Invalid: 0

Type: Discrete

Start: 33

End: 36

Width: 4

Range: -

Format: character

Questions and instructions

Categories

Value	Category	Cases
0101	Kupwara	190	0.1%
0102	Baramula	478	0.2%
0103	Srinagar	581	0.3%
0104	Badgam	260	0.1%
0105	Pulwama	327	0.2%
0106	Anantnag	568	0.3%
0107	Leh* Ladakh	0	0%
0108	Kargil*	0	0%
0109	Doda	235	0.1%
0110	Udhampur	378	0.2%
0111	Punch	0	0%
0112	Rajauri	0	0%
0113	Jammu	958	0.5%
0114	Kathua	308	0.2%
0201	Chamba	240	0.1%
0202	Kangra	699	0.4%
0203	Lahul & Spiti	92	0%
0204	Kullu	231	0.1%
0205	Mandi	589	0.3%
0206	Hamirpur	307	0.2%
0207	Una	347	0.2%
0208	Bilaspur	213	0.1%
0209	Solan	501	0.3%
0210	Sirmaur	414	0.2%
0211	Shimla	600	0.3%
0212	Kinnaur	76	0%
0301	Gurdaspur	421	0.2%
0302	Amritsar	775	0.4%
0303	Kapurthala	200	0.1%
0304	Jalandhar	450	0.2%
0305	Hoshiarpur	306	0.2%
0306	Nawanshahr	147	0.1%
0307	Rupnagar	252	0.1%
0308	Fatehgarh Sahib	129	0.1%
0309	Ludhiana	899	0.5%
0310	Moga	245	0.1%
0311	Firozpur	418	0.2%
0312	Muktsar	240	0.1%
0313	Faridkot	244	0.1%
0314	Bathinda	401	0.2%
0315	Mansa	177	0.1%
0316	Sangrur	401	0.2%
0317	Patiala	419	0.2%
0401	Chandigarh	624	0.3%
0501	Uttarkashi	87	0%
0502	Chamoli	53	0%
0503	Rudraprayag	105	0.1%
0504	Tehri Garhwal	55	0%
0505	Dehradun	311	0.2%
0506	Garhwal	116	0.1%
0507	Pithoragarh	110	0.1%
0508	Champawat	118	0.1%
0509	Almora	128	0.1%
0510	Bageshwar	115	0.1%
0511	Nainital	170	0.1%
0512	Udham Singh Nagar	226	0.1%
0513	Hardwar	233	0.1%
0601	Panchkula	99	0.1%
0602	Ambala	205	0.1%
0603	Yamunanagar	192	0.1%
0604	Kurukshetra	98	0.1%
0605	Kaithal	122	0.1%
0606	Karnal	250	0.1%
0607	Panipat	241	0.1%
0608	Sonipat	404	0.2%
0609	Jind	346	0.2%
0610	Fatehabad	150	0.1%
0611	Sirsa	181	0.1%
0612	Hisar	311	0.2%
0613	Bhiwani	302	0.2%
0614	Rohtak	222	0.1%
0615	Jhajjar	160	0.1%
0616	Mahendragarh	192	0.1%
0617	Rewari	153	0.1%
0618	Gurgaon	358	0.2%
0619	Faridabad	689	0.4%
0701	North West	725	0.4%
0702	North	0	0%
0703	North East	264	0.1%
0704	East	37	0%
0705	New Delhi	0	0%
0706	Central	0	0%
0707	West	105	0.1%
0708	South West	301	0.2%
0709	South	248	0.1%
0710		4190	2.1%
0801	Ganganagar	363	0.2%
0802	Hanumangarh	284	0.1%
0803	Bikaner	348	0.2%
0804	Churu	503	0.3%
0805	Jhunjhunun	477	0.2%
0806	Alwar	455	0.2%
0807	Bharatpur	370	0.2%
0808	Dhaulpur	143	0.1%
0809	Karauli	256	0.1%
0810	Sawai Madhopur	240	0.1%
0811	Dausa	239	0.1%
0812	Jaipur	1143	0.6%
0813	Sikar	506	0.3%
0814	Nagaur	400	0.2%
0815	Jodhpur	428	0.2%
0816	Jaisalmer	125	0.1%
0817	Barmer	276	0.1%
0818	Jalor	203	0.1%
0819	Sirohi	133	0.1%
0820	Pali	337	0.2%
0821	Ajmer	331	0.2%
0822	Tonk	231	0.1%
0823	Bundi	159	0.1%
0824	Bhilwara	363	0.2%
0825	Rajsamand	195	0.1%
0826	Udaipur	401	0.2%
0827	Dungarpur	239	0.1%
0828	Banswara	319	0.2%
0829	Chittaurgarh	374	0.2%
0830	Kota	320	0.2%
0831	Baran	246	0.1%
0832	Jhalawar	237	0.1%
0901	Saharanpur	406	0.2%
0902	Muzaffarnagar	391	0.2%
0903	Bijnor	391	0.2%
0904	Moradabad	471	0.2%
0905	Rampur	272	0.1%
0906	J Phule Nagar	208	0.1%
0907	Meerut	565	0.3%
0908	Baghpat	149	0.1%
0909	Ghaziabad	559	0.3%
0910	G. Buddha Nagar	269	0.1%
0911	Bulandshahr	341	0.2%
0912	Aligarh	384	0.2%
0913	Hathras	137	0.1%
0914	Mathura	258	0.1%
0915	Agra	539	0.3%
0916	Firozabad	332	0.2%
0917	Etah	324	0.2%
0918	Mainpuri	146	0.1%
0919	Budaun	318	0.2%
0920	Bareilly	533	0.3%
0921	Pilibhit	181	0.1%
0922	Shahjahanpur	231	0.1%
0923	Kheri	203	0.1%
0924	Sitapur	243	0.1%
0925	Hardoi	218	0.1%
0926	Unnao	262	0.1%
0927	Lucknow	680	0.3%
0928	Rae Bareli	196	0.1%
0929	Farrukhabad	198	0.1%
0930	Kannauj	143	0.1%
0931	Etawah	247	0.1%
0932	Auraiya	180	0.1%
0933	Kanpur Dehat	122	0.1%
0934	Kanpur Nagar	801	0.4%
0935	Jalaun	161	0.1%
0936	Jhansi	293	0.1%
0937	Lalitpur	136	0.1%
0938	Hamirpur	118	0.1%
0939	Mahoba	142	0.1%
0940	Banda	117	0.1%
0941	Chitrakoot	118	0.1%
0942	Fatehpur	139	0.1%
0943	Pratapgarh	203	0.1%
0944	Kaushambi	104	0.1%
0945	Allahabad	396	0.2%
0946	Barabanki	185	0.1%
0947	Faizabad	106	0.1%
0948	Ambedkar Nag.	105	0.1%
0949	Sultanpur	172	0.1%
0950	Bahraich	177	0.1%
0951	Shrawasti	107	0.1%
0952	Balrampur	118	0.1%
0953	Gonda	174	0.1%
0954	Siddharthnagar	106	0.1%
0955	Basti	109	0.1%
0956	S. Kabir Nagar	96	0%
0957	Maharajganj	128	0.1%
0958	Gorakhpur	293	0.1%
0959	Kushinagar	184	0.1%
0960	Deoria	174	0.1%
0961	Azamgarh	233	0.1%
0962	Mau	153	0.1%
0963	Ballia	188	0.1%
0964	Jaunpur	175	0.1%
0965	Ghazipur	198	0.1%
0966	Chandauli	102	0.1%
0967	Varanasi	441	0.2%
0968	S.R.Nagar ( Bhadohi )	119	0.1%
0969	Mirzapur	118	0.1%
0970	Sonbhadra	130	0.1%
1001	Champaran (W)	231	0.1%
1002	Champaran (E)	312	0.2%
1003	Sheohar	62	0%
1004	Sitamarhi	176	0.1%
1005	Madhubani	146	0.1%
1006	Supaul	100	0.1%
1007	Araria	91	0%
1008	Kishanganj	65	0%
1009	Purnia	191	0.1%
1010	Katihar	187	0.1%
1011	Madhepura	106	0.1%
1012	Saharsa	106	0.1%
1013	Darbhanga	223	0.1%
1014	Muzaffarpur	189	0.1%
1015	Gopalganj	184	0.1%
1016	Siwan	223	0.1%
1017	Saran	233	0.1%
1018	Vaishali	163	0.1%
1019	Samastipur	172	0.1%
1020	Begusarai	139	0.1%
1021	Khagaria	119	0.1%
1022	Bhagalpur	215	0.1%
1023	Banka	84	0%
1024	Munger	143	0.1%
1025	Lakhisarai	96	0%
1026	Sheikhpura	79	0%
1027	Nalanda	196	0.1%
1028	Patna	728	0.4%
1029	Bhojpur	230	0.1%
1030	Buxar	102	0.1%
1031	Kaimur Bhabua	108	0.1%
1032	Rohtas	227	0.1%
1033	Jehanabad	130	0.1%
1034	Aurangabad	191	0.1%
1035	Gaya	308	0.2%
1036	Nawada	131	0.1%
1037	Jamui	89	0%
1101	North ( Mongam )	140	0.1%
1102	West ( Gyalshing )	138	0.1%
1103	South ( Nimachai )	243	0.1%
1104	East ( Gangtok )	496	0.3%
1201	Tawang	140	0.1%
1202	West Kameng	122	0.1%
1203	East Kameng	27	0%
1204	Papum Pare	211	0.1%
1205	Lower Subansiri	168	0.1%
1206	Upper Subansiri	74	0%
1207	West Siang	131	0.1%
1208	East Siang	124	0.1%
1209	Upper Siang	76	0%
1210	Dibang Valley	124	0.1%
1211	Lohit	241	0.1%
1212	Changlang	157	0.1%
1213	Tirap	121	0.1%
1301	Mon	167	0.1%
1302	Tuensang	212	0.1%
1303	Mokokchung	234	0.1%
1304	Zunheboto	170	0.1%
1305	Wokha	229	0.1%
1306	Dimapur	313	0.2%
1307	Kohima	293	0.1%
1308	Phek	167	0.1%
1401	Senapati	155	0.1%
1402	Tamenglong	139	0.1%
1403	Churachandpur	279	0.1%
1404	Bishnupur	261	0.1%
1405	Thoubal	385	0.2%
1406	Imphal West	434	0.2%
1407	Imphal East	333	0.2%
1408	Ukhrul	139	0.1%
1409	Chandel	211	0.1%
1501	Mamit	183	0.1%
1502	Kolasib	225	0.1%
1503	Aizwal	928	0.5%
1504	Champhai	284	0.1%
1505	Serchip	234	0.1%
1506	Lunglei	421	0.2%
1507	Lawngtlai	88	0%
1508	Saiha	154	0.1%
1601	West Tripura	1577	0.8%
1602	South Tripura	637	0.3%
1603	Dhalai	222	0.1%
1604	North Tripura	577	0.3%
1701	West Garo Hills	373	0.2%
1702	East Garo Hills	268	0.1%
1703	South Garo Hills	143	0.1%
1704	West Khasi Hills	356	0.2%
1705	Ri Bhoi	184	0.1%
1706	East Khasi Hills	684	0.4%
1707	Jaintia Hills	309	0.2%
1801	Kokrajhar	199	0.1%
1802	Dhubri	407	0.2%
1803	Goalpara	164	0.1%
1804	Bongaigaon	198	0.1%
1805	Barpeta	358	0.2%
1806	Kamrup	544	0.3%
1807	Nalbari	266	0.1%
1808	Darrang	349	0.2%
1809	Marigaon	172	0.1%
1810	Nagaon	384	0.2%
1811	Sonitpur	360	0.2%
1812	Lakhimpur	210	0.1%
1813	Dhemaji	250	0.1%
1814	Tinsukia	357	0.2%
1815	Dibrugarh	386	0.2%
1816	Sibsagar	257	0.1%
1817	Jorhat	216	0.1%
1818	Golaghat	257	0.1%
1819	Karbi Anglong	161	0.1%
1820	North Cachar Hills	112	0.1%
1821	Cachar	275	0.1%
1822	Karimganj	252	0.1%
1823	HaiLakandi	184	0.1%
1901	Darjiling	419	0.2%
1902	Jalpaiguri	679	0.3%
1903	Koch Bihar	406	0.2%
1904	Uttar Dinajpur	438	0.2%
1905	Dakshin Dinajpur	271	0.1%
1906	Maldah	546	0.3%
1907	Murshidabad	1046	0.5%
1908	Birbhum	446	0.2%
1909	Barddhaman	1497	0.8%
1910	Nadia	845	0.4%
1911	North 24-Parganas	2153	1.1%
1912	Hugli	1046	0.5%
1913	Bankura	495	0.3%
1914	Puruliya	413	0.2%
1915	Medinipur	1336	0.7%
1916	Howrah	970	0.5%
1917	Kolkata	1550	0.8%
1918	South 24-Parganas	1250	0.6%
2001	Garhwa	129	0.1%
2002	Palamu	195	0.1%
2003	Chatra	130	0.1%
2004	Hazaribag	351	0.2%
2005	Kodarma	152	0.1%
2006	Giridih	207	0.1%
2007	Deoghar	101	0.1%
2008	Godda	123	0.1%
2009	Sahibganj	98	0.1%
2010	Pakaur	90	0%
2011	Dumka	144	0.1%
2012	Dhanbad	402	0.2%
2013	Bokaro	374	0.2%
2014	Ranchi	361	0.2%
2015	Lohardaga	112	0.1%
2016	Gumla	123	0.1%
2017	Singhbhum (W)	234	0.1%
2018	Singhbhum (E)	320	0.2%
2101	Bargarh	224	0.1%
2102	Jharsuguda	149	0.1%
2103	Sambalpur	204	0.1%
2104	Debagarh	100	0.1%
2105	Sundargarh	354	0.2%
2106	Kendujhar	314	0.2%
2107	Mayurbhanj	271	0.1%
2108	Baleshwar	311	0.2%
2109	Bhadrak	252	0.1%
2110	Kendrapara	227	0.1%
2111	Jagatsinghapur	238	0.1%
2112	Cuttack	423	0.2%
2113	Jajapur	309	0.2%
2114	Dhenkanal	189	0.1%
2115	Anugul	245	0.1%
2116	Nayagarh	144	0.1%
2117	Khordha	309	0.2%
2118	Puri	204	0.1%
2119	Ganjam	467	0.2%
2120	Gajapati	98	0.1%
2121	Kandhamal ( Phoolbani )	168	0.1%
2122	Baudh	93	0%
2123	Sonapur	93	0%
2124	Balangir	208	0.1%
2125	Nuapada	95	0%
2126	Kalahandi	225	0.1%
2127	Rayagada	102	0.1%
2128	Nabarangapur	207	0.1%
2129	Koraput	215	0.1%
2130	Malkangiri	72	0%
2201	Koriya	209	0.1%
2202	Surguja	323	0.2%
2203	Jashpur	132	0.1%
2204	Raigarh	193	0.1%
2205	Korba	248	0.1%
2206	Janjgir-Champa	170	0.1%
2207	Bilaspur	358	0.2%
2208	Kawardha	101	0.1%
2209	Rajnandgaon	231	0.1%
2210	Durg	599	0.3%
2211	Raipur	513	0.3%
2212	Mahasamund	169	0.1%
2213	Dhamtari	103	0.1%
2214	Kanker	94	0%
2215	Bastar	178	0.1%
2216	Dantewada	69	0%
2301	Sheopur	130	0.1%
2302	Morena	202	0.1%
2303	Bhind	200	0.1%
2304	Gwalior	321	0.2%
2305	Datia	143	0.1%
2306	Shivpuri	168	0.1%
2307	Guna	176	0.1%
2308	Tikamgarh	119	0.1%
2309	Chhatarpur	182	0.1%
2310	Panna	114	0.1%
2311	Sagar	179	0.1%
2312	Damoh	96	0%
2313	Satna	182	0.1%
2314	Rewa	288	0.1%
2315	Umaria	133	0.1%
2316	Shahdol	216	0.1%
2317	Sidhi	226	0.1%
2318	Neemuch	158	0.1%
2319	Mandsaur	174	0.1%
2320	Ratlam	184	0.1%
2321	Ujjain	255	0.1%
2322	Shajapur	143	0.1%
2323	Dewas	191	0.1%
2324	Jhabua	147	0.1%
2325	Dhar	174	0.1%
2326	Indore	550	0.3%
2327	W. Nimar	196	0.1%
2328	Barwani	148	0.1%
2329	E. Nimar	275	0.1%
2330	Rajgarh	166	0.1%
2331	Vidisha	143	0.1%
2332	Bhopal	512	0.3%
2333	Sehore	125	0.1%
2334	Raisen	130	0.1%
2335	Betul	218	0.1%
2336	Harda	127	0.1%
2337	Hoshangabad	180	0.1%
2338	Katni	158	0.1%
2339	Jabalpur	246	0.1%
2340	Narsimhapur	109	0.1%
2341	Dindori	108	0.1%
2342	Mandla	122	0.1%
2343	Chhindwara	257	0.1%
2344	Seoni	119	0.1%
2345	Balaghat	135	0.1%
2401	Kachchh	277	0.1%
2402	Bans Kantha	312	0.2%
2403	Patan	150	0.1%
2404	Mahesana	290	0.1%
2405	Sabar Kantha	230	0.1%
2406	Gandhinagar	299	0.2%
2407	Ahmedabad	1481	0.8%
2408	Surendranagar	259	0.1%
2409	Rajkot	545	0.3%
2410	Jamnagar	319	0.2%
2411	Porbandar	128	0.1%
2412	Junagadh	372	0.2%
2413	Amreli	275	0.1%
2414	Bhavnagar	374	0.2%
2415	Anand	353	0.2%
2416	Kheda	305	0.2%
2417	Panch Mahals	200	0.1%
2418	Dohad	194	0.1%
2419	Vadodara	673	0.3%
2420	Narmada	110	0.1%
2421	Bharuch	256	0.1%
2422	Surat	965	0.5%
2423	The Dangs	66	0%
2424	Navsari	219	0.1%
2425	Valsad	321	0.2%
2501	Diu	96	0%
2502	Daman	371	0.2%
2601	Dadra and Nagar Havelira	454	0.2%
2701	Nandurbar	196	0.1%
2702	Dhule	305	0.2%
2703	Jalgaon	436	0.2%
2704	Buldana	281	0.1%
2705	Akola	274	0.1%
2706	Washim	120	0.1%
2707	Amravati	435	0.2%
2708	Wardha	181	0.1%
2709	Nagpur	819	0.4%
2710	Bhandara	119	0.1%
2711	Gondiya	116	0.1%
2712	Gadchiroli	118	0.1%
2713	Chandrapur	329	0.2%
2714	Yavatmal	386	0.2%
2715	Nanded	366	0.2%
2716	Hingoli	113	0.1%
2717	Parbhani	190	0.1%
2718	Jalna	224	0.1%
2719	Aurangabad	361	0.2%
2720	Nashik	981	0.5%
2721	Thane	1717	0.9%
2722	Mumbai Suburban	2719	1.4%
2723	Mumbai	0	0%
2724	Raigarh	280	0.1%
2725	Pune	1476	0.8%
2726	Ahmadnagar	577	0.3%
2727	Bid	223	0.1%
2728	Latur	240	0.1%
2729	Osmanabad	212	0.1%
2730	Solapur	497	0.3%
2731	Satara	313	0.2%
2732	Ratnagiri	193	0.1%
2733	Sindhudurg	133	0.1%
2734	Kolhapur	465	0.2%
2735	Sangli	384	0.2%
2801	Adilabad	510	0.3%
2802	Nizamabad	459	0.2%
2803	Karimnagar	647	0.3%
2804	Medak	576	0.3%
2805	Hyderabad	1267	0.6%
2806	Rangareddi	912	0.5%
2807	Mahbubnagar	672	0.3%
2808	Nalgonda	595	0.3%
2809	Warangal	710	0.4%
2810	Khammam	513	0.3%
2811	Srikakulam	439	0.2%
2812	Vizianagaram	479	0.2%
2813	Visakhapatnam	816	0.4%
2814	East Godavari	726	0.4%
2815	West Godavari	704	0.4%
2816	Krishna	858	0.4%
2817	Guntur	851	0.4%
2818	Prakasam	533	0.3%
2819	Nellore	501	0.3%
2820	Cuddapah	557	0.3%
2821	Kurnool	632	0.3%
2822	Anantapur	698	0.4%
2823	Chittoor	793	0.4%
2901	Belgaum	587	0.3%
2902	Bagalkot	286	0.1%
2903	Bijapur	251	0.1%
2904	Gulbarga	461	0.2%
2905	Bidar	256	0.1%
2906	Raichur	256	0.1%
2907	Koppal	179	0.1%
2908	Gadag	134	0.1%
2909	Dharwad	218	0.1%
2910	Uttara Kannada	262	0.1%
2911	Haveri	245	0.1%
2912	Bellary	290	0.1%
2913	Chitradurga	204	0.1%
2914	Davanagere	197	0.1%
2915	Shimoga	328	0.2%
2916	Udupi	156	0.1%
2917	Chikmagalur	175	0.1%
2918	Tumkur	290	0.1%
2919	Kolar	352	0.2%
2920	Bangalore	1413	0.7%
2921	Bangalore ( Rural )	310	0.2%
2922	Mandya	349	0.2%
2923	Hassan	249	0.1%
2924	Dakshina Kannada	279	0.1%
2925	Kodagu	160	0.1%
2926	Mysore	460	0.2%
2927	Chamarajanagar	203	0.1%
3001	North Goa	301	0.2%
3002	South Goa	280	0.1%
3101	Lakshadweepshadweep	175	0.1%
3201	Kasaragod	372	0.2%
3202	Kannur	614	0.3%
3203	Wayanad	246	0.1%
3204	Kozhikode	697	0.4%
3205	Malappuram	1020	0.5%
3206	Palakkad	648	0.3%
3207	Thrissur	704	0.4%
3208	Ernakulam	846	0.4%
3209	Idukki	351	0.2%
3210	Kottayam	557	0.3%
3211	Alappuzha	621	0.3%
3212	Pathanamthitta	385	0.2%
3213	Kollam	758	0.4%
3214	Thiruvananthapuram	921	0.5%
3301	Thiruvallur	633	0.3%
3302	Chennai	945	0.5%
3303	Kancheepuram	680	0.3%
3304	Vellore	698	0.4%
3305	Dharmapuri	578	0.3%
3306	Tiruvanamalai	429	0.2%
3307	Viluppuram	520	0.3%
3308	Salem	652	0.3%
3309	Namakkal	365	0.2%
3310	Erode	597	0.3%
3311	The Nilgiris	200	0.1%
3312	Coimbatore	995	0.5%
3313	Dindigul	442	0.2%
3314	Karur	198	0.1%
3315	Tiruchirappalli	457	0.2%
3316	Perambalur	116	0.1%
3317	Ariyalur	186	0.1%
3318	Cuddalore	520	0.3%
3319	Nagapattinam	309	0.2%
3320	Thiruvarur	261	0.1%
3321	Thanjavur	458	0.2%
3322	Pudukkottai	317	0.2%
3323	Sivaganga	288	0.1%
3324	Madurai	558	0.3%
3325	Theni	295	0.2%
3326	Virudhunagar	377	0.2%
3327	Ramanathapuram	296	0.2%
3328	Toothukudi	341	0.2%
3329	Tirunelveli	685	0.4%
3330	Kanniyakumari	393	0.2%
3401	Yanam	38	0%
3402	Pondicherry	363	0.2%
3403	Mahe	39	0%
3404	Karaikal	173	0.1%
3501	Andamans	804	0.4%
3502	Nicobars	33	0%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Imputation and derivation

Derivation

This variable has been derived by concatenating the variables "State" and "District" to enable the users to easily access district wise data.

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Household Consumer Expenditure, NSS 63rd Round : July 2006 - June 2007 NSS 63rd Round