NPL_NSO_NCCS_2022 DDI-NPL-NSO-NCCS-2022-v01

Publication, Dissemination and Library Section

National Statistics Office 2024-04-18 Nesstar Publisher Version 01 (June 2026): Original documentation of the survey National Climate Change Survey 2022 NCCS 2022 Jalawayu Pariwartan Sarvekshan 2022 NPL-NSO-NCCS-2022-v01 National Statistics Office (NSO) (c) 2025, National Statistics Office [NSO], Nepal Nesstar Publisher Government of Nepal Director of Publication, Dissemination and Library Sectio Integrated Survey (non-LSMS) [hh/is] Second Round v01: Final data for National Climate Change Survey 2022 Climate Household Season Rainfall Natural disaster The National Climate Change Survey 2022 (NCCS-II), conducted by Nepal's National Statistics Office, examines the multidimensional impacts of climate change on Nepali households across all seven provinces. Using face-to-face interviews with 6,508 households in 326 sampling units and applying the IPCC risk framework, the survey captures community perceptions, awareness, vulnerability, and adaptation responses across key sectors including agriculture, water resources, energy, health, biodiversity, and disaster management. Findings reveal that climate-induced hazards such as floods, landslides, droughts, and extreme temperatures are intensifying, causing significant damage to infrastructure, livelihoods, and food security. Agricultural challenges are widespread, with over half of households reporting new crop diseases and pests, while escalating vector-borne and waterborne illnesses pose growing public health concerns. Water availability has declined notably, particularly in Terai and hilly regions, and biodiversity loss from invasive species is increasingly reported. In response, many households have adopted adaptation strategies including diversified cropping, use of improved seeds, and off-farm employment, though uptake of formal measures like insurance and water conservation remains limited. The survey underscores the urgent need for region-specific, evidence-based policies to strengthen community resilience against the escalating risks of climate change in Nepal. Nepal Field work of this survey covered 29 districts out of 77 districts of Nepal. National and Province Sample survey data [ssd] The survey was conducted in 29 selected districts across Nepal. A total of 326 Enumeration Areas (EAs) were scientifically selected from these districts using statistical sampling methods. In the first stage, a household listing was carried out in each selected Enumeration Area. In the second stage, 20 households were selected from each household listing using statistical sampling techniques. As a result, information was collected from 6,520 households across the country. National Statistics Office No deviation Computer Assisted Personal Interview [capi] Training program: The Master Training of Trainers (MTOT) took place in Kakani, Nuwakot, spanning from the 18th to the 22nd of the eighth month in the year 2079 BS. The primary objective was to facilitate discussions and consensus-building among the resource persons actively involved in delivering the training program. A total of 32 enumerators received training for the survey, including 20 students of the Central Department of Environmental Science, Tribhuvan University. The comprehensive 7-day training occurred in Dhulikhel, Kavrepalanchok districts, from the 10th to the 16th of the tenth month in 2079 BS, utilizing various training methods such as reflective exercises on the questionnaire and reference manual, classroom sessions, practical exercises, mock interviews, field visits, and discussion sessions. Data collection and supervision commenced after the training program, involving 15 field teams/groups, consisting of enumerators from Statistics Offices and students from the Central Department of Environmental Science, Tribhuvan University. Throughout the survey period, fieldwork received continuous supervision and monitoring from core team members at two levels. The Environment Statistics Section of the NSO formed the central supervision team, while the chief of the Statistics Offices served as the field supervisor. A supervision form was developed for field supervision, and a set of instructions was prepared for central supervision. Confidentiality of the respondents is guaranteed by article 10 of Statistics Act 2022. Chief-Statistician, National Statistics Office (NSO) National Statistics Office (NSO), National Climate Change Survey 2022. Data and information is downloaded from Microdata Catalogue (NADA): https://microdata.nsonepal.gov.np/index.php/home/ The dataset has been anonymized and is available for public use The National Statistics Institute [NSO], Nepal bears no responsibility for any outcomes or for interpretations or inferences arising from the use of the data, or use of the information provided on the study. S01_Introduction section.NSDstat 6508 21 Nesstar 200801 National Statistics Office V01 S02_1 Personal Information.NSDstat Family Information 29079 10 Nesstar 200801 National Statistics Office V01 S02_2 Household Information.NSDstat Household information, types of house, avaibility of household facilities 6508 44 Nesstar 200801 National Statistics Office S03_Landholding Information.NSDstat Area of agricultural and other land 41526 11 Nesstar 200801 National Statistics Office S04_Access to social and economic services.NSDstat Information on household access to social and economic services 6508 25 Nesstar 200801 National Statistics Office S05_Household Income.NSDstat It contains income information of household for the past 12 months. 6508 6 Nesstar 200801 National Statistics Office S06_Basic informaton on Climate Change related knowledge.NSDstat It contains the basic information about climate change related knowledge and perception. 6508 21 Nesstar 200801 National Statistics Office S06_2 Seasonal change.NSDstat It contains the information on changes in seasonal temperature and weather. 39048 8 Nesstar 200801 National Statistics Office S06_3_impact of climate induced disasters.NSDstat It contains impact of climate induced disasters in past 25 years 123652 12 Nesstar 200801 National Statistics Office S07_1_Impact on daily life.NSDstat It contains information on impact on daily life during past 5 years 123652 16 Nesstar 200801 National Statistics Office S07_2_Impact on Physical Assets.NSDstat It contains information on impact on physical assets and business (loss) 123652 14 Nesstar 200801 National Statistics Office S08_disease and Health impact.NSDstat It contains information on Disease and health impact due to climate change. In crops and livestock and Human health 6508 14 Nesstar 200801 National Statistics Office S09_Impact on water sources and energy.NSDstat It contains information on impact of climate change on water sources and energy/renewable energy in past 25 years. 6508 20 Nesstar 200801 National Statistics Office S10_1_Change observe.NSDstat It contains information on changes observed in different plant and animals during last 25 years due to climate change. 52064 5 Nesstar 200801 National Statistics Office S10_2_Prevalence of invasive species.NSDstat It contains information on prevalence of invasive species 26032 13 Nesstar 200801 National Statistics Office S10_3_Change fertilization timing.NSDstat It contains the change in timing in flowering/ fruiting, and fertilization timing. 6508 17 Nesstar 200801 National Statistics Office S11_Adaptation of Climate change.NSDstat It contains the information on household's climate change adaptation activities. 6508 62 Nesstar 200801 National Statistics Office Weight.NSDstat It provides the weight for the survey data user. 6508 11 Nesstar 200801 National Statistics Office PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 A01. Province 6508 0 1 Koshi 1180 2 Madhesh 719 3 Bagmati 1529 4 Gandaki 720 5 Lumbini 960 6 Karnali 560 7 Sudurpaschim 840 A02. District 6508 0 0 Confidence 6508 2 Sankhuwasabha 0 4 Okhaldhunga 0 7 Dhankuta 0 10 Illam 0 12 Morang 0 15 Saptari 0 17 Dhanusha 0 20 Rautahat 0 24 Sindhupalchowk 0 26 Dhading 0 28 Kathmandu 0 32 Ramechhap 0 35 Chitwan 0 38 Mustang 0 40 Kaski 0 42 Tanahu 0 43 Nawalparasi (East) 0 46 Baglung 0 49 Pyuthan 0 51 Arghakhanchi 0 54 Rupandehi 0 57 Banke 0 60 Mugu 0 62 Jumla 0 64 Dailekh 0 68 Surkhet 0 71 Darchula 0 75 Achham 0 76 Kailali 0 A03. Gaunpalika 6508 0 0 Confidence 6508 A04. Ward No. 6508 0 0 Confidence 6508 A05. Enumeration Area 6508 0 0 Confidence 6508 A06. Village/Tole 6508 0 Confidential 6508 A07. Latitude 6508 0 0 Confidence 6508 A07. Longitude 6508 0 0 Confidence 6508 A07. Altitude 6508 0 0 Confidence 6508 A07. Accuracy 6508 0 0 Confidence 6508 A08. Name of household head 6508 0 Confidential 6508 A09. Name of respondent 6508 0 Confidential 6508 A10. Sex of respondent 6508 0 1 Male 4873 2 Female 1635 A11. Age of respondent 6508 0 45 95 58.857 10.146 A12. Contact no. of respondent 6508 0 Confidential 6508 A13. Caste/ethnicity of respondent 6508 0 1 Chhetree 1371 2 Brahman - Hill 1054 3 Magar 473 4 Tharu 338 5 Tamang 334 6 Newar 453 7 Kami 388 8 Musalman 147 9 Yadav 185 10 Rai 175 11 Gurung 151 12 Damai/Dholi 95 13 Thakuri 83 14 Limbu 77 15 Sarki 79 16 Teli 85 17 Chamar/ Harijan/ Ram 49 18 Koiri/Kushwaha 59 19 Musahar 24 20 Kurmi 18 21 Sanyasi/Dasnami 31 22 Dhanuk 43 23 Dusadh/ Pasawan/ Pasi 18 24 Mallaha 28 25 Kewat 16 26 Kathabaniyan 6 27 Brahman - Tarai 23 28 Kalwar 32 29 Kanu 11 30 Kumal 40 31 Gharti/Bhujel 18 32 Hajam/Thakur 27 33 Rajbansi 17 34 Sherpa 49 35 Dhobi 15 36 Tatma/Tatwa 15 37 Lohar 16 38 Khatwe 26 39 Sudhi 18 40 Danuwar 3 41 Haluwai 17 42 Majhi 7 43 Baraee 1 44 Bin 3 45 Nuniya 6 46 Chepang /Praja 29 47 Sonar 25 48 Kumhar 3 49 Sunuwar 43 50 Bantar/Sardar 27 51 Kahar 6 52 Satar/ Santhal 2 53 Marwadi 4 54 Kayastha 3 55 Rajput 2 56 Badi 4 57 Jhangad/ Dhagar 6 58 Gangai 32 59 Lodh 3 60 Badhaee 12 61 Thami 24 62 Kulung 0 63 Bangali 0 64 Gaderi/Bhediyar 7 65 Dhimal 5 66 Yakkha 12 67 Ghale 3 68 Tajpuriya 7 69 Khawas 1 70 Darai 15 71 Mali 4 72 Dhunia 2 73 Pahari 1 74 Rajdhob 0 75 Bhote 3 76 Dom 2 77 Thakali 9 78 Kori 5 79 Chhantyal/Chhantel 6 80 Hyolmo 0 81 Bote 0 82 Rajbhar 6 83 Brahmu/ Baramo 0 84 Punjabi/Sikh 0 85 Nachhiring 0 86 Yamphu 0 87 Gaine 4 88 Chamling 0 89 Aathpariya 0 90 Jirel 0 91 Dura 0 92 Sarbaria 7 93 Meche 0 94 Bantawa 0 95 Raji 0 96 Dolpo 0 97 Halkhor 4 98 Byasi/Sauka 18 99 Amat 3 100 Thulung 0 101 Lepcha 1 102 Pattharkatta/ Kushwadiya 0 103 Mewahang Bala 1 104 Bahing 1 105 Natuwa 0 106 Hayu 0 107 Dhankar/ Dharikar 0 108 Lhopa 0 109 Munda 0 110 Dev 0 111 Dhandi 0 112 Kamar 0 113 Kisan 2 114 Samgpang 0 115 Koche 0 116 Lhomi 0 117 Khaling 0 118 Topkegola 0 119 Chidimar 7 120 Walung 0 121 Loharung 0 122 Kalar 0 123 Raute 1 124 Nurang 0 125 Kusunda 0 126 Rana Tharu 18 127 Bhumihar 4 995 Foreigner 0 A14. Highest level of edu. of respondent 6508 0 0 Nursery/K.G./Kindergarden 1 1 Class 1 52 2 Class 2 188 3 Class 3 244 4 Class 4 241 5 Class 5 455 6 Class 6 136 7 Class 7 157 8 Class 8 347 9 Class 9 94 10 Class 10 (Test Pass) 329 11 SLC/SEE 518 12 313 13 Bachelor degree or equiv. 186 14 Master degree or equiv. 102 15 Ph.D. 4 16 Literal (Informal edu.) 961 17 Illiterate 2089 90 Others 3 91 No level/Level not stated 80 98 Don't know 8 99 Not reported 0 A15. Years of living this community 6508 0 25 95 50.486 14.195 B01. No. of member usually stay 6508 0 1 31 4.468 2.341 PSU 29079 0 501 826 662.788 94.225 Household No. 29079 0 1 1473 2 1467 3 1468 4 1468 5 1426 6 1449 7 1455 8 1460 9 1438 10 1478 11 1522 12 1501 13 1533 14 1374 15 1419 16 1353 17 1409 18 1480 19 1442 20 1464 B02. S.No. 29079 0 1 31 3.347 2.333 B03. Name of household member 29079 0 Confidential 29079 B04. Relationship to hhld head 29079 0 1 Household head 6510 2 husband/wife (spouse) 5066 3 Son / daughter-in-law 8721 4 Daughter / son-in-law 2590 5 Father / mother 701 6 Father-in-law / mother-in-law 76 7 Brother / sister 241 8 Grand son / Grand daughter 4844 9 Other relatives 302 10 Household worker 13 11 Non relatives 15 B05. Sex 29079 0 1 Male 14304 2 Female 14775 B06. Age 29079 0 0 212 1 432 2 403 3 379 4 388 5 434 6 355 7 351 8 393 9 356 10 436 11 333 12 473 13 408 14 400 15 441 16 425 17 443 18 571 19 438 20 640 21 464 22 639 23 461 24 505 25 601 26 436 27 363 28 536 29 321 30 616 31 223 32 425 33 213 34 200 35 534 36 230 37 136 38 275 39 173 40 527 41 157 42 249 43 178 44 174 45 996 46 384 47 326 48 490 49 276 50 865 51 280 52 471 53 319 54 314 55 729 56 356 57 268 58 336 59 241 60 684 61 237 62 311 63 216 64 201 65 478 66 195 67 178 68 285 69 142 70 459 71 143 72 216 73 143 74 127 75 179 76 94 77 69 78 82 79 73 80 152 81 54 82 45 83 39 84 48 85 54 86 25 87 18 88 16 89 14 90 35 91 9 92 11 93 4 94 7 95 12 96 6 97 5 98 3 99 1 100 100+ 11 B07. Level of Education 27265 1814 0 Nursery/K.G./Kindergarden 570 1 Class 1 603 2 Class 2 773 3 Class 3 976 4 Class 4 999 5 Class 5 1637 6 Class 6 950 7 Class 7 1058 8 Class 8 1734 9 Class 9 971 10 Class 10 (Test Pass) 1297 11 SLC/SEE 2639 12 2949 13 Bachelor degree or equiv. 1600 14 Master degree or equiv. 518 15 Ph.D. 14 16 Literal (Informal edu.) 2216 17 Illiterate 5517 90 Others 6 91 No level/Level not stated 208 98 Don't know 27 99 Not reported 3 Sysmiss 1814 B08. Marital Status 25376 3703 1 Single (Unmarried) 6735 2 Married 16938 3 Widow / widower 1600 4 Divorced 41 5 Separated 62 Sysmiss 3703 B09. Current Occupation 25376 3703 0 Armed forces occupations 65 1 Managers 377 2 Professionals 1050 3 Technicians and associate prof. 414 4 Clerical support workers 293 5 Service and sales workers 1506 6 Skilled agri., forestry and fishery workers 8372 7 Craft and related trades workers 518 8 Plant and machine operators and assemblers 345 9 Elementary occupations 1204 10 No economic work done 11100 98 Don't know 17 99 Not reported 115 Sysmiss 3703 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 B10. Type of house ownership 6508 0 1 Owned 6398 2 Rented 78 3 Institutional 7 4 Others 25 B11. Type of house 6508 0 1 Permanent 3169 2 Semi-permanent 1819 3 Temporary 1518 4 Others 2 B12. Main source drinking water - 1 6508 0 1 Tap/piped (within compound) 2751 2 Tap/piped (outside compound) 1251 3 Tubewell / hand pump 1790 4 Covered well / kuwa 38 5 Uncovered well / kuwa 77 6 Spout water 368 7 River / stream 19 8 Jar /bottle 196 9 Others 18 B12. Main source drinking water - 2 1811 4697 0 ! Not applicable ! 0 1 Tap/piped (within compound) 214 2 Tap/piped (outside compound) 148 3 Tubewell / hand pump 338 4 Covered well / kuwa 130 5 Uncovered well / kuwa 136 6 Spout water 583 7 River / stream 61 8 Jar /bottle 171 9 Others 30 Sysmiss 4697 B12. Main source drinking water - 3 114 6394 0 ! Not applicable ! 0 1 Tap/piped (within compound) 6 2 Tap/piped (outside compound) 9 3 Tubewell / hand pump 25 4 Covered well / kuwa 15 5 Uncovered well / kuwa 3 6 Spout water 4 7 River / stream 10 8 Jar /bottle 37 9 Others 5 Sysmiss 6394 B13. Usually used cooking fuel - 1 6508 0 1 Firewood 3766 2 LP Gas 2445 3 Electricity 26 4 Dried cow dung 193 5 Bio gas 54 6 Kerosene 0 7 Others 24 B13. Usually used cooking fuel - 2 3885 2623 0 ! Not applicable ! 0 1 Firewood 1290 2 LP Gas 1838 3 Electricity 390 4 Dried cow dung 286 5 Bio gas 72 6 Kerosene 2 7 Others 7 Sysmiss 2623 B13. Usually used cooking fuel - 3 508 6000 0 ! Not applicable ! 0 1 Firewood 73 2 LP Gas 202 3 Electricity 125 4 Dried cow dung 78 5 Bio gas 21 6 Kerosene 1 7 Others 8 Sysmiss 6000 B14. Usual source of lighting 6508 0 1 Electricity 6032 2 Solar 450 3 Kerosene 6 4 Bio Gas 0 5 Others 20 B15. Type of toilet used 6508 0 1 Flush toilet (Public sewarage) 604 2 Flush toilet (Septik tank) 4018 3 Ordinary 1735 4 Community toilet 17 5 No toilet 134 B16. Major source of livelyhood -1 6508 0 1 Agriculture 3152 2 Salary/wage 1526 3 Non-agri. business 1033 4 Remittance 518 5 Others 279 B16. Major source of livelyhood - 2 3677 2831 0 ! Not applicable ! 0 1 Agriculture 974 2 Salary/wage 1051 3 Non-agri. business 652 4 Remittance 623 5 Others 377 Sysmiss 2831 B16. Major source of livelyhood - 3 540 5968 0 ! Not applicable ! 0 1 Agriculture 107 2 Salary/wage 88 3 Non-agri. business 112 4 Remittance 133 5 Others 100 Sysmiss 5968 6508 0 0 Have not 2847 1 Have 3661 6508 0 0 Have not 5972 1 Have 536 6508 0 0 Have not 1334 1 Have 5174 6508 0 0 Have not 1438 1 Have 5070 6508 0 0 Have not 5407 1 Have 1101 6508 0 0 Have not 4161 1 Have 2347 6508 0 0 Have not 6184 1 Have 324 6508 0 0 Have not 6456 1 Have 52 6508 0 0 Have not 4478 1 Have 2030 6508 0 0 Have not 6402 1 Have 106 6508 0 0 Have not 4438 1 Have 2070 6508 0 0 Have not 3243 1 Have 3265 6508 0 0 Have not 4498 1 Have 2010 6508 0 0 Have not 5898 1 Have 610 6508 0 0 Have not 6401 1 Have 107 6508 0 0 Have not 6508 1 Have 0 B18. Household receive remittance 6508 0 1 Yes 1509 2 No 4999 B19. Amount received from remittance 1509 4999 0 Not received 41 5000 1 8000 2 10000 10 12000 1 15000 6 18000 1 20000 11 21000 1 23000 1 25000 9 30000 15 32000 1 35000 7 40000 13 45000 1 48000 2 50000 87 55000 3 60000 52 65000 1 70000 7 72000 1 75000 1 80000 7 84000 1 85000 2 90000 5 100000 120 105000 1 120000 23 125000 4 140000 1 144000 2 150000 78 160000 4 180000 8 190000 1 200000 149 210000 1 230000 1 240000 19 250000 46 254000 1 270000 1 275000 1 280000 2 300000 137 310000 1 320000 1 340000 2 350000 22 360000 23 400000 106 412000 1 420000 3 450000 13 480000 13 500000 137 510000 2 540000 1 550000 1 560000 4 580000 1 590000 1 600000 78 610000 3 614400 1 620000 1 630000 1 640000 3 650000 2 655000 1 660000 1 680000 1 700000 28 720000 6 730000 1 735000 1 740000 1 750000 1 800000 20 810000 2 820000 1 830000 1 840000 6 900000 11 910000 1 930000 1 960000 1 1000000 23 1080000 1 1100000 1 1200000 42 1210000 1 1220000 1 1500000 14 1600000 2 1800000 2 2000000 3 2400000 4 3000000 5 3500000 1 3600000 1 4000000 1 4500000 1 4800000 2 6000000 3 7000000 1 7500000 1 8000000 1 9900000 1 10000000 1 Sysmiss 4999 C01. Have agricultural holdings 6508 0 1 Yes 4614 2 No 1894 C01. Unit of Agri. Holding 4614 1894 0 No Agri Holding 53 1 Bigha 1742 2 Ropani 2819 Sysmiss 1894 C02. Years of experience on agriculture 4614 1894 0 19 1 9 2 12 3 11 4 7 5 18 6 11 7 7 8 3 9 4 10 40 11 1 12 11 15 56 17 2 18 3 19 1 20 130 21 2 22 12 23 3 24 4 25 235 26 25 27 18 28 39 29 8 30 486 31 9 32 41 33 18 34 8 35 441 36 20 37 17 38 24 39 21 40 738 41 20 42 36 43 18 44 17 45 355 46 40 47 24 48 47 49 20 50 610 51 21 52 38 53 23 54 33 55 158 56 24 57 17 58 35 59 16 60 203 61 16 62 23 63 18 64 15 65 62 66 11 67 14 68 20 69 9 70 59 71 6 72 9 73 13 74 6 75 15 76 8 77 3 78 5 79 7 80 10 81 5 82 2 84 3 85 3 86 1 90 1 93 1 900 generation after generation 0 Sysmiss 1894 C12. Unit of Owned Land 6508 0 0 No such land 541 1 Bigha 2362 2 Ropani 3605 C12.(1) Owned Land area (Bigha/Ropani) - Year 2079 5967 541 0 200 5.561 10.668 5967 541 0 2701 1 292 2 246 3 243 4 405 5 434 6 222 7 155 8 330 9 85 10 351 11 82 12 117 13 50 14 52 15 83 16 31 17 28 18 46 19 14 Sysmiss 541 5967 541 0 5027 1 31 2 60 3 57 4 47 5 86 6 43 7 47 8 52 9 28 10 261 11 14 12 53 13 19 14 18 15 65 16 23 17 21 18 11 19 4 Sysmiss 541 5967 541 0 220 5.533 10.368 5967 541 0 2731 1 290 2 234 3 233 4 408 5 435 6 223 7 151 8 331 9 82 10 344 11 78 12 123 13 51 14 54 15 91 16 31 17 25 18 41 19 11 Sysmiss 541 5967 541 0 5048 1 29 2 63 3 58 4 47 5 83 6 46 7 45 8 54 9 28 10 242 11 14 12 58 13 18 14 16 15 61 16 22 17 20 18 10 19 5 Sysmiss 541 6508 0 0 Have not 3079 1 Have 3429 PSU 41526 0 501 826 666.562 99.081 Household No. 41526 0 1 2097 2 2088 3 2097 4 2160 5 2124 6 1989 7 2097 8 2043 9 1989 10 2043 11 2097 12 2124 13 2079 14 2034 15 2034 16 2061 17 2007 18 2196 19 2106 20 2061 C03 (1) S.No. 41526 0 1 Land under temporary crops 4614 2 Land under temporary meadows and pastures 4614 3 Land under temporary follow 4614 4 Land under by permanent crops 4614 5 Land under by permanent meadows and pastures 4614 6 Land under Private forest 4614 7 Land under Pound 4614 8 Land under form building and form yards 4614 9 Other areas not elsewhere classified 4614 C04 (2) Description 41526 0 Land under Pound 4614 Land under Private forest 4614 Land under by permanent crops 4614 Land under by permanent meadows and pastures 4614 Land under form building and form yards 4614 Land under temporary crops 4614 Land under temporary follow 4614 Land under temporary meadows and pastures 4614 Other areas not elsewhere classified 4614 C05 (3) Unit of land 41526 0 0 No such land 30015 1 Bigha 4070 2 Ropani 7441 C06 (4) Land area (Bigha/Ropani) - Year 2079 11511 30015 0 153 2.897 5.947 11511 30015 0 6530 1 737 2 570 3 331 4 475 5 618 6 277 7 184 8 623 9 80 10 568 11 28 12 164 13 36 14 40 15 145 16 27 17 24 18 41 19 13 Sysmiss 30015 11511 30015 0 10579 1 11 2 20 3 38 4 38 5 85 6 33 7 44 8 52 9 25 10 406 11 10 12 36 13 17 14 14 15 56 16 20 17 10 18 9 19 8 Sysmiss 30015 11511 30015 0 350 2.944 6.783 11511 30015 0 6604 1 732 2 542 3 333 4 464 5 615 6 290 7 170 8 613 9 77 10 562 11 30 12 157 13 38 14 43 15 139 16 24 17 26 18 40 19 12 Sysmiss 30015 11511 30015 0 10618 1 14 2 19 3 36 4 34 5 83 6 32 7 41 8 50 9 23 10 381 11 9 12 39 13 16 14 12 15 54 16 21 17 11 18 10 19 8 Sysmiss 30015 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 D01. Have membership in co-operative / saving groups 6508 0 1 Yes 3863 2 No 2645 Have regular saving in cooperatives / saving groups 6508 0 1 Yes 3796 2 No 2712 D03. Regular saving in financial institute/Bank 6508 0 1 Yes 4363 2 No 2145 D04. Loan taken from Money lender/saving group/co-operatives 6508 0 1 Yes 2877 2 No 3631 D05. Institute from loan borrow - 1 2877 3631 1 Individual/Money lender 715 2 Savings Group 375 3 Co-operative 780 4 Microfinance 278 5 Finance Company 29 6 Development Bank 309 7 Commercial Bank 365 8 Others 26 Sysmiss 3631 D05. Institute from loan borrow - 2 506 6002 0 ! Not applicable ! 0 1 Individual/Money lender 99 2 Savings Group 91 3 Co-operative 127 4 Microfinance 46 5 Finance Company 12 6 Development Bank 41 7 Commercial Bank 83 8 Others 7 Sysmiss 6002 D05. Institute from loan borrow - 3 57 6451 0 ! Not applicable ! 0 1 Individual/Money lender 11 2 Savings Group 11 3 Co-operative 15 4 Microfinance 10 5 Finance Company 1 6 Development Bank 0 7 Commercial Bank 9 8 Others 0 Sysmiss 6451 D05. Institute from loan borrow - 4 13 6495 0 ! Not applicable ! 0 1 Individual/Money lender 5 2 Savings Group 2 3 Co-operative 1 4 Microfinance 1 5 Finance Company 2 6 Development Bank 1 7 Commercial Bank 1 8 Others 0 Sysmiss 6495 D06. Purpose of loan - 1 2877 3631 1 For agriculture 441 2 For animal husbandry 218 3 To do non-agricultural business 526 4 To buy house/land/land 520 5 To go abroad 278 6 For education 194 7 For treatment 258 8 For others 442 Sysmiss 3631 D06. Purpose of loan - 2 534 5974 0 ! Not applicable ! 0 1 For agriculture 61 2 For animal husbandry 65 3 To do non-agricultural business 51 4 To buy house/land/land 58 5 To go abroad 51 6 For education 84 7 For treatment 95 8 For others 69 Sysmiss 5974 D06. Purpose of loan - 3 64 6444 0 ! Not applicable ! 0 1 For agriculture 9 2 For animal husbandry 7 3 To do non-agricultural business 5 4 To buy house/land/land 4 5 To go abroad 4 6 For education 10 7 For treatment 10 8 For others 15 Sysmiss 6444 D06. Purpose of loan - 4 1 6507 0 ! Not applicable ! 0 1 For agriculture 0 2 For animal husbandry 0 3 To do non-agricultural business 0 4 To buy house/land/land 0 5 To go abroad 0 6 For education 0 7 For treatment 0 8 For others 1 Sysmiss 6507 D07. Have involvement in community organisation 6508 0 1 Yes 1936 2 No 4572 D08. Loan taken from Money lender/saving group/co-operatives 6508 0 1 Yes 194 2 No 6314 D09. Affiliation in Tole Development committee 6508 0 1 Yes 1606 2 No 4902 D10. Receive any service from agri. service center 6508 0 1 Yes 1394 2 No 3220 3 Not applicable 1894 D11. Distance to ward office (km) 6508 0 0 70 2.186 2.71 D12. Distance to motorable road (km) 6508 0 0 92 0.914 2.728 D13. Distance to nearest health institution (km) 6508 0 0 40 2.054 2.374 D14. Distance to nearest basic school (km) 6508 0 0 500 1.329 10.802 D15. Distance to nearest local market (km) 6508 0 0 100 4.997 8.232 D16. Distance to nearest Agr/livestock service center (km) 6508 0 0 999 37.56 179.177 D17. Modern Equip./machine used in agriculture 6508 0 1 Yes 2310 2 No 2304 3 Not applicable 1894 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 E01. Crops income of last 12 months (Rs.) 6508 0 0 2500000 30542.102 84490.299 E02. Livestock income of last 12 months (Rs.) 6508 0 0 7200000 18323.909 118495.111 E03. Other agri. and forest income of last 12 months (Rs.) 6508 0 0 520000 1349.57 11644.719 E04. Non-agri. income of last 12 months (Rs.) 6508 0 0 99000000 322077.935 1463941.059 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 F01. Heard about climate change 6508 0 1 Yes 2386 2 No 4122 F02. Main source of information of climate change 2386 4122 1 Radio 709 2 Television 744 3 News paper 85 4 Awareness program 76 5 Educational institution 228 6 Local agencies / official 44 7 Neighbour / friends 281 8 Family member 69 9 Internet 125 10 Others 25 Sysmiss 4122 F03. Climate is different then 25 yrs. ago 6508 0 1 Yes 5600 2 No 619 3 Don't know 289 F04. Main reason of climate change - 1 5600 908 1 Deforestration 1388 2 Natural cause 871 3 Industrilization 252 4 Urbanization 691 5 384 6 God's give 139 7 Earthquake 66 8 Increase vehicle number 350 9 Improper mgmt. of waste 219 10 Others 152 11 Don't know 1088 Sysmiss 908 F04. Main reason of climate change - 2 3012 3496 0 ! Not applicable ! 0 1 Deforestration 369 2 Natural cause 250 3 Industrilization 334 4 Urbanization 716 5 354 6 God's give 62 7 Earthquake 62 8 Increase vehicle number 537 9 Improper mgmt. of waste 240 10 Others 88 Sysmiss 3496 F04. Main reason of climate change - 3 1543 4965 0 ! Not applicable ! 0 1 Deforestration 138 2 Natural cause 74 3 Industrilization 148 4 Urbanization 256 5 184 6 God's give 32 7 Earthquake 38 8 Increase vehicle number 361 9 Improper mgmt. of waste 236 10 Others 76 Sysmiss 4965 F05. Impact / result of climate change - 1 5600 908 1 Drought 2394 2 Fire in forest 102 3 Fire in shettlement 40 4 Flood 786 5 DUBAN 247 6 AANDHI (Cyclon) 613 7 Thunderstrome 57 8 Hailstrome (ASINA) 181 9 Heavy rain 51 10 Partial rain 10 11 Soil erosion 20 12 Land slide 461 13 HIM AANDHI 1 14 HIM land slide 8 15 Glaciar explosion 0 16 Hot wave (Loo) 47 17 Cold wave (SHIT LAHAR) 89 18 Diseases / insect 210 19 Others 283 Sysmiss 908 F05. Impact / result of climate change - 2 4179 2329 0 ! Not applicable ! 0 1 Drought 377 2 Fire in forest 271 3 Fire in shettlement 56 4 Flood 487 5 DUBAN 361 6 AANDHI (Cyclon) 999 7 Thunderstrome 183 8 ASINA 372 9 Heavy rain 113 10 Partial rain 33 11 Soil erosion 38 12 Land slide 332 13 HIM AANDHI 1 14 HIM land slide 3 15 Glaciar explosion 2 16 Loo 87 17 SHIT LAHAR 122 18 Diseases / insect 329 19 Others 13 Sysmiss 2329 F05. Impact / result of climate change - 3 3097 3411 0 ! Not applicable ! 0 1 Drought 259 2 Fire in forest 68 3 Fire in shettlement 41 4 Flood 149 5 DUBAN 152 6 AANDHI (Cyclon) 511 7 Thunderstrome 213 8 ASINA 474 9 Heavy rain 99 10 Partial rain 73 11 Soil erosion 54 12 Land slide 194 13 HIM AANDHI 1 14 HIM land slide 1 15 Glaciar explosion 3 16 Loo 140 17 SHIT LAHAR 212 18 Diseases / insect 449 19 Others 4 Sysmiss 3411 F05. Impact / result of climate change - 4 1982 4526 0 ! Not applicable ! 0 1 Drought 109 2 Fire in forest 38 3 Fire in shettlement 20 4 Flood 48 5 DUBAN 29 6 AANDHI (Cyclon) 201 7 Thunderstrome 123 8 ASINA 295 9 Heavy rain 86 10 Partial rain 58 11 Soil erosion 26 12 Land slide 119 13 HIM AANDHI 1 14 HIM land slide 0 15 Glaciar explosion 2 16 Loo 108 17 SHIT LAHAR 180 18 Diseases / insect 534 19 Others 5 Sysmiss 4526 F05. Impact / result of climate change - 5 1154 5354 0 ! Not applicable ! 0 1 Drought 38 2 Fire in forest 24 3 Fire in shettlement 16 4 Flood 24 5 DUBAN 15 6 AANDHI (Cyclon) 78 7 Thunderstrome 65 8 ASINA 148 9 Heavy rain 49 10 Partial rain 37 11 Soil erosion 25 12 Land slide 57 13 HIM AANDHI 2 14 HIM land slide 0 15 Glaciar explosion 1 16 Loo 44 17 SHIT LAHAR 98 18 Diseases / insect 426 19 Others 7 Sysmiss 5354 F06. Did you receive Pre-Warning information 6508 0 1 Yes 886 2 No 5622 F07. Main source of pre-warning information 886 5622 1 Radio 165 2 Television 109 3 Miking 54 4 Community 67 5 Local level 15 6 SMS 360 7 Siron 24 8 Social Media 81 9 Others 11 Sysmiss 5622 F08. Preparatory work done to protect from disaster 886 5622 1 Yes 309 2 No 577 Sysmiss 5622 F09. Type of preparatory work done to protect-1 309 6199 1 Moved to a safe place 143 2 20 3 Livestock move in the safe place 59 4 Safe storage of food at home 35 5 Received financial support from the local level and inst. 0 6 Received food aid from the local level and 1 7 Received non-food aid from local level and Inst. 0 8 Others 28 9 No any preparation 23 Sysmiss 6199 F09. Type of preparatory work done to protect-2 141 6367 1 Moved to a safe place 28 2 32 3 Livestock move in the safe place 29 4 Safe storage of food at home 45 5 Received financial support from the local level and inst. 1 6 Received food aid from the local level and 1 7 Received non-food aid from local level and Inst. 1 8 Others 4 Sysmiss 6367 F09. Type of preparatory work done to protect-3 64 6444 1 Moved to a safe place 4 2 6 3 Livestock move in the safe place 11 4 Safe storage of food at home 34 5 Received financial support from the local level and inst. 3 6 Received food aid from the local level and 4 7 Received non-food aid from local level and Inst. 1 8 Others 1 Sysmiss 6444 F09. Type of preparatory work done to protect-4 15 6493 1 Going to a safe place 1 2 Provision of such money as required 2 3 Livestock move in the safe place 3 4 Safe storage of food at home 4 5 Received financial support from the local level and inst. 1 6 Received food aid from the local level and 3 7 Received non-food aid from local level and Inst. 1 8 Others 0 Sysmiss 6493 F09. Type of preparatory work done to protect-5 3 6505 1 Going to a safe place 0 2 Provision of such money as required 0 3 Livestock move in the safe place 0 4 Safe storage of food at home 0 5 Received financial support from the local level and inst. 0 6 Received food aid from the local level and 2 7 Received non-food aid from local level and Inst. 1 8 Others 0 Sysmiss 6505 PSU 39048 0 501 826 663.574 94.176 Household No. 39048 0 1 1956 2 1956 3 1956 4 1950 5 1956 6 1956 7 1956 8 1956 9 1956 10 1956 11 1956 12 1956 13 1956 14 1950 15 1956 16 1956 17 1956 18 1938 19 1938 20 1932 F10SN 39048 0 1 Spring season [Chaitra, Baisakh] 6508 2 Autumn [Jestha, Asar] 6508 3 Rainy season [Shrawan, Bhadra] 6508 4 Autumn [Ashoj, Kartik] 6508 5 Winter [Mangsir, Poush] 6508 6 Spring [Magh, Falgun] 6508 F10 Description 39048 0 Autumn [Ashoj, Karti 6508 Autumn [Jestha, Asar 6508 Rainy season [Shrawa 6508 Spring [Magh, Falgun 6508 Spring season [Chait 6508 Winter [Mangsir, Pou 6508 F11. Temperature change than 25 years ago 39048 0 1 Yes 32896 2 No 5194 3 Don't know 958 F12. Type of temperature change 32896 6152 1 Increased 29521 2 Decreased 3167 3 No change 208 Sysmiss 6152 F13. Rainfall qty/nature/weather are change than 25 yrs ago 39048 0 1 Yes 33582 2 No 4474 3 Don't know 992 34764 4284 1 Increased 20486 2 Decreased 10529 3 No change 3749 Sysmiss 4284 PSU 123652 0 501 826 663.574 94.176 Household No. 123652 0 1 6194 2 6194 3 6194 4 6175 5 6194 6 6194 7 6194 8 6194 9 6194 10 6194 11 6194 12 6194 13 6194 14 6175 15 6194 16 6194 17 6194 18 6137 19 6137 20 6118 F.15 S.No. 123652 0 1 Drought 6508 2 Fire in forest 6508 3 Fire in shettlement 6508 4 Flood 6508 5 DUBAN 6508 6 AANDHI (Cyclon) 6508 7 Thunderstrome 6508 8 Hailstrome (ASINA) 6508 9 Heavy rain 6508 10 Partial rain 6508 11 Soil erosion 6508 12 Land slide 6508 13 HIM AANDHI 6508 14 HIM land slide 6508 15 Glaciar explosion 6508 16 Hot wave (Loo) 6508 17 Cold wave (SHIT LAHAR) 6508 18 Diseases / insect 6508 19 Others 6508 F.16 Type of disaster incidence due to climate change 123652 0 AANDHI (Cyclon) 6508 Cold wave (SHIT LAHAR) 6508 DUBAN 6508 Diseases / insect 6508 Drought 6508 Fire in forest 6508 Fire in shettlement 6508 Flood 6508 Glaciar explosion 6508 HIM AANDHI 6508 HIM land slide 6508 Hailstrome (ASINA) 6508 Heavy rain 6508 Hot wave (Loo) 6508 Land slide 6508 Others 6508 Partial rain 6508 Soil erosion 6508 Thunderstrome 6508 F.17 Effect household from disaster incidence during 25 yrs 123652 0 1 Yes 22539 2 No 63845 3 Not applicable 37268 F.18 How to effect family from disaster incidence 22539 101113 1 Very low 7268 2 Low 5104 3 Moderate 5450 4 High 3678 5 Very high 1039 Sysmiss 101113 F.19 Cause of disaster incidence - 1 22539 101113 1 Insufficient rainfall 4973 2 Heavy rainfall 5346 3 Temperature Increase 3588 4 Temperature decrease 727 5 Road construction 392 6 Urbanization 481 7 Deforestration 916 8 Heavy use of underground water 17 9 Earthquake 28 10 Population increase 487 11 Others 5584 12 Don't know 0 Sysmiss 101113 F.19 Cause of disaster incidence - 2 6007 117645 0 ! Not applicable ! 0 1 Insufficient rainfall 624 2 Heavy rainfall 240 3 Temperature Increase 1866 4 Temperature decrease 99 5 Road construction 612 6 Urbanization 647 7 Deforestration 1046 8 Heavy use of underground water 51 9 Earthquake 63 10 Population increase 364 11 Others 395 Sysmiss 117645 F.19 Cause of disaster incidence - 3 1881 121771 0 ! Not applicable ! 0 1 Insufficient rainfall 94 2 Heavy rainfall 30 3 Temperature Increase 147 4 Temperature decrease 22 5 Road construction 122 6 Urbanization 338 7 Deforestration 617 8 Heavy use of underground water 33 9 Earthquake 63 10 Population increase 336 11 Others 79 Sysmiss 121771 F.20 Efforts made to prevent/minimize disaster events 22539 101113 1 Participating in training and public awareness programs 269 2 Land management 327 3 Tree plantation 326 4 Maintenance of houses / sheds 815 5 Management including rainwater harvesting 368 6 Construction of retaining wall 340 7 Cut tree branches 76 8 Management of dead weeds 104 9 Home wiring, maintenance and earthing 155 10 Others 2209 11 Don't did anything 17550 Sysmiss 101113 F.20 Efforts made to prevent/minimize disaster events-2 642 123010 0 ! Not applicable ! 0 1 Participating in training and public awareness programs 20 2 Land management 98 3 Tree plantation 97 4 Maintenance of houses / sheds 83 5 Management including rainwater harvesting 122 6 Construction of retaining wall 71 7 Cut tree branches 26 8 Management of dead weeds 21 9 Home wiring, maintenance and earthing 8 10 Others 96 Sysmiss 123010 F.20 Efforts made to prevent/minimize disaster events-3 288 123364 0 ! Not applicable ! 0 1 Participating in training and public awareness programs 11 2 Land management 62 3 Tree plantation 19 4 Maintenance of houses / sheds 35 5 Management including rainwater harvesting 61 6 Construction of retaining wall 32 7 Cut tree branches 7 8 Management of dead weeds 4 9 Home wiring, maintenance and earthing 3 10 Others 54 Sysmiss 123364 PSU 123652 0 501 826 663.574 94.176 Household No. 123652 0 1 6194 2 6194 3 6194 4 6175 5 6194 6 6194 7 6194 8 6194 9 6194 10 6194 11 6194 12 6194 13 6194 14 6175 15 6194 16 6194 17 6194 18 6137 19 6137 20 6118 G.01 S.No. 123652 0 1 Drought 6508 2 Fire in forest 6508 3 Fire in shettlement 6508 4 Flood 6508 5 DUBAN 6508 6 AANDHI (Cyclon) 6508 7 Thunderstrome 6508 8 Hailstrome (ASINA) 6508 9 Heavy rain 6508 10 Partial rain 6508 11 Soil erosion 6508 12 Land slide 6508 13 HIM AANDHI 6508 14 HIM land slide 6508 15 Glaciar explosion 6508 16 Hot wave (Loo) 6508 17 Cold wave (SHIT LAHAR) 6508 18 Diseases / insect 6508 19 Others 6508 G.02 Type of disaster incidence 123652 0 AANDHI (Cyclon) 6508 Cold wave (SHIT LAHAR) 6508 DUBAN 6508 Diseases / insect 6508 Drought 6508 Fire in forest 6508 Fire in shettlement 6508 Flood 6508 Glaciar explosion 6508 HIM AANDHI 6508 HIM land slide 6508 Hailstrome (ASINA) 6508 Heavy rain 6508 Hot wave (Loo) 6508 Land slide 6508 Others 6508 Partial rain 6508 Soil erosion 6508 Thunderstrome 6508 G.03 Years of facing disaster incidence 22539 101113 0 Not facing 7030 2073 2 2074 469 2075 559 2076 1241 2077 2665 2078 3614 2079 6097 2080 862 Sysmiss 101113 G.04 Family affect from disaster incidence 15509 108143 1 Yes 2347 2 No 13162 Sysmiss 108143 G.05 Number of days missed to work 15509 108143 0 1780 4.827 25.639 G.06 Family faced food scarcity 15509 108143 1 Yes 2292 2 No 13217 Sysmiss 108143 G.07 Have family member disable 15509 108143 1 Yes 83 2 No 15426 Sysmiss 108143 G.08 Have death of family member 15509 108143 1 Yes 35 2 No 15474 Sysmiss 108143 G.09 No. of female death aged 00-14 years 35 123617 0 30 1 5 Sysmiss 123617 G.10 No. of male death aged 00-14 years 35 123617 0 35 Sysmiss 123617 G.11 No. of female deah aged 15-59 years 35 123617 0 24 1 10 2 1 Sysmiss 123617 G.12 No. of male deah aged 15-59 years 35 123617 0 28 1 7 Sysmiss 123617 G.13 No. of female death aged 60+ years 35 123617 0 24 1 11 Sysmiss 123617 G.14 No. of male death aged 60+ years 35 123617 0 31 1 4 Sysmiss 123617 PSU 123652 0 501 826 663.574 94.176 Household No. 123652 0 1 6194 2 6194 3 6194 4 6175 5 6194 6 6194 7 6194 8 6194 9 6194 10 6194 11 6194 12 6194 13 6194 14 6175 15 6194 16 6194 17 6194 18 6137 19 6137 20 6118 G.15 S.No. 123652 0 1 Drought 6508 2 Fire in forest 6508 3 Fire in shettlement 6508 4 Flood 6508 5 DUBAN 6508 6 AANDHI (Cyclon) 6508 7 Thunderstrome 6508 8 Hailstrome (ASINA) 6508 9 Heavy rain 6508 10 Partial rain 6508 11 Soil erosion 6508 12 Land slide 6508 13 HIM AANDHI 6508 14 HIM land slide 6508 15 Glaciar explosion 6508 16 Hot wave (Loo) 6508 17 Cold wave (SHIT LAHAR) 6508 18 Diseases / insect 6508 19 Others 6508 G.16 Types of disaster incidence 123652 0 Avalanche 6508 Cold wave 6508 Cyclone 6508 Diseases/insect 6508 Drought 6508 Fire in settlement 6508 Fire in the forest 6508 Flood 6508 Glacial lake outburst flood 6508 Hail 6508 Heat wave 6508 Heavy rain 6508 Inundation 6508 Land erosion 6508 Land slide 6508 Others 6508 Snowstorm 6508 Sporadic rain 6508 Thunderstorm 6508 G.17 Household lost from disaster incidence 22539 101113 1 Yes 8495 2 No 14044 Sysmiss 101113 G.18 Loss in residential house/shelter etc. (Rs.) 8495 115157 0 8000000 15038.458 136068.353 G.19 Loss in cereal crops (Rs.) 8495 115157 0 60000000 40626.18 659664.586 G.20 Loss in vegetable crops (Rs.) 8495 115157 0 1080000 5967.663 34957.802 G.21 Loss in fruit crops (Rs.) 8495 115157 0 1500000 4040.506 30153.614 Q.22 Loss in other crops (Rs.) 8495 115157 0 600000 1513.584 17466.029 G.23 Loss in livestock/poultry (Rs.) 8495 115157 0 2500000 4393.526 42448.202 G.24 Loss in garden/nursary land (Rs.) 8495 115157 0 500000 472.513 9262.445 G.25 Loss in productive land (Rs.) 8495 115157 0 7500000 20057.928 156250.945 G.26 Loss in other non-agri. business (Rs.) 8495 115157 0 20000000 7574.008 223059.532 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 H.01 New diseases appear in crop 6508 0 1 Yes 3126 2 No 1488 3 Not applicable 1894 H.03 New insect appear in crop 6508 0 1 Yes 3399 2 No 1215 3 Not applicable 1894 H.05 New diseases appear in livestock 6508 0 1 Yes 1870 2 No 2723 3 Not applicable 1915 H.07 Family member freq. suffer from new disease 6508 0 1 Yes 2373 2 No 4135 H.08 Name of diseases freq. suffer - 1 2373 4135 1 Diarrhoea 93 2 Discentry 2 3 Maleria 9 4 Skin diseases 67 5 Cold/cough 548 6 Fever 164 7 Typhoid 14 8 Asthama 209 9 Jundice 5 10 Malnutrition 1 11 Dengu 118 12 Psycological 43 13 Chicken Pox 2 14 Colera 1 15 Resperation 122 16 Viral infection 1 17 Kala-jar 2 18 Water/Food born diseases 3 19 Cancer 53 20 Heart Diseases 160 21 Tuberculosis 7 22 Others 749 Sysmiss 4135 H.08 Name of diseases freq. suffer - 2 1140 5368 0 ! Not applicable ! 0 1 Diarrhoea 26 2 Discentry 3 3 Maleria 10 4 Skin diseases 38 5 Cough 274 6 Fever 353 7 Typhoid 22 8 Asthama 47 9 Jundice 7 10 Malnutrition 0 11 Dengu 29 12 Psycological 14 13 Chicken Pox 0 14 Colera 1 15 Resperation 61 16 Viral infection 1 17 Kala-jar 1 18 Water/Food born diseases 2 19 Cancer 3 20 Heart Diseases 38 21 Tuberculosis 6 22 Others 204 Sysmiss 5368 H.08 Name of diseases freq. suffer - 3 462 6046 0 ! Not applicable ! 0 1 Diarrhoea 33 2 Discentry 0 3 Maleria 4 4 Skin diseases 18 5 Cough 58 6 Fever 102 7 Typhoid 31 8 Asthama 31 9 Jundice 11 10 Malnutrition 2 11 Dengu 19 12 Psycological 3 13 Chicken Pox 2 14 Colera 0 15 Resperation 21 16 Viral infection 0 17 Kala-jar 1 18 Water/Food born diseases 2 19 Cancer 6 20 Heart Diseases 30 21 Tuberculosis 2 22 Others 86 Sysmiss 6046 H.08 Name of diseases freq. suffer - 4 159 6349 0 ! Not applicable ! 0 1 Diarrhoea 3 2 Discentry 0 3 Maleria 2 4 Skin diseases 4 5 Cough 16 6 Fever 20 7 Typhoid 18 8 Asthama 13 9 Jundice 5 10 Malnutrition 2 11 Dengu 10 12 Psycological 2 13 Chicken Pox 1 14 Colera 0 15 Resperation 8 16 Viral infection 0 17 Kala-jar 0 18 Water/Food born diseases 3 19 Cancer 4 20 Heart Diseases 14 21 Tuberculosis 7 22 Others 27 Sysmiss 6349 H.08 Name of diseases freq. suffer - 5 49 6459 0 ! Not applicable ! 0 1 Diarrhoea 3 2 Discentry 0 3 Maleria 3 4 Skin diseases 2 5 Cough 3 6 Fever 3 7 Typhoid 8 8 Asthama 1 9 Jundice 1 10 Malnutrition 1 11 Dengu 5 12 Psycological 1 13 Chicken Pox 1 14 Colera 1 15 Resperation 1 16 Viral infection 1 17 Kala-jar 0 18 Water/Food born diseases 0 19 Cancer 2 20 Heart Diseases 6 21 Tuberculosis 2 22 Others 4 Sysmiss 6459 H.08 Name of diseases freq. suffer - 6 12 6496 0 ! Not applicable ! 0 1 Diarrhoea 0 2 Discentry 0 3 Maleria 1 4 Skin diseases 0 5 Cough 2 6 Fever 1 7 Typhoid 0 8 Asthama 2 9 Jundice 1 10 Malnutrition 1 11 Dengu 1 12 Psycological 0 13 Chicken Pox 0 14 Colera 1 15 Resperation 0 16 Viral infection 0 17 Kala-jar 0 18 Water/Food born diseases 0 19 Cancer 0 20 Heart Diseases 1 21 Tuberculosis 0 22 Others 1 Sysmiss 6496 6508 0 1 Yes 664 2 No 5844 H.10 Family member freq. suffere from waterborn transf. diseases 6508 0 1 Yes 467 2 No 6041 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 I01. Dried handpump/well/tubewell 6508 0 1 Yes 986 2 No 2194 3 Don't know 319 4 Not applicable 3009 I02. Handpump/well/tubewell about to dry up 6508 0 1 Yes 1509 2 No 1661 3 Don't know 329 4 Not applicable 3009 I03. Changes observed in spring and spout water amount 6508 0 1 Decreased 3624 2 Increased 64 3 No change 440 4 Don't know 285 5 Not applicable 2095 I04. Dried spout water, well 6508 0 1 Yes 2521 2 No 1435 3 Don't know 341 4 Not applicable 2211 I05. Changes in the amount of water in river 6508 0 1 Decreased 5031 2 Increased 86 3 No change 594 4 Don't know 328 5 Not applicable 469 I06. Stream and rivulets water has dried up 6508 0 1 Yes 2821 2 No 2823 3 Don't know 404 4 Not applicable 460 I07. Change in duration of water supply 6508 0 1 Decreased 3209 2 Increased 425 3 No change 1558 4 stopped 48 5 Not applicable 1268 I08. Possible reason of decreasing water level - 1 6508 0 1 Insufficienf rainfall 2805 2 Increase drought 1373 3 Road construction 214 4 Land slide / soil eroison 92 5 Urbanization 187 6 Deforestration 232 7 Heavy extraction of underground water 92 8 Mine and excavation 12 9 Population increase 278 10 Earthquake 202 11 Change in land use 5 12 Others 1016 I08. Possible reason of decreasing water level - 2 3564 2944 0 ! Not applicable ! 0 1 Insufficienf rainfall 446 2 Increase drought 1434 3 Road construction 452 4 Land slide / soil eroison 115 5 Urbanization 194 6 Deforestration 311 7 Heavy extraction of underground water 96 8 Mine and excavation 24 9 Population increase 268 10 Earthquake 158 11 Change in land use 44 12 Others 22 Sysmiss 2944 I08. Possible reason of decreasing water level - 3 1661 4847 0 ! Not applicable ! 0 1 Insufficienf rainfall 67 2 Increase drought 120 3 Road construction 295 4 Land slide / soil eroison 120 5 Urbanization 146 6 Deforestration 291 7 Heavy extraction of underground water 53 8 Mine and excavation 78 9 Population increase 289 10 Earthquake 116 11 Change in land use 61 12 Others 25 Sysmiss 4847 I09. Type of stove used for cooking-1 6508 0 1 Traditional 3770 2 Improved 241 3 LPG/Gas Stove 2440 4 Solar powered 0 5 Electric/Induction stove 21 6 other (to mention) 36 I09. Type of stove used for cooking- 2 3249 3259 0 ! Not applicable ! 0 1 Traditional 976 2 Improved 78 3 LPG/Gas Stove 1865 4 Solar powered 3 5 Electric/Induction stove 289 6 other (to mention) 38 Sysmiss 3259 I09. Type of stove used for cooking- 3 130 6378 0 ! Not applicable ! 0 1 Traditional 36 2 Improved 19 3 LPG/Gas Stove 20 4 Solar powered 1 5 Electric/Induction stove 34 6 other (to mention) 20 Sysmiss 6378 I10. Type of main stove used for cooking 6508 0 1 Traditional 3676 2 Improved 255 3 LPG/Gas Stove 2501 4 Solar powered 0 5 Electric/Induction stove 26 6 other (to mention) 50 I11. Problems faced in using electric/induction stoves-1 344 6164 1 Unreliable power supply 101 2 Expensive cooking utensils 7 3 Non-availability of induction repair service 11 4 Electricity being expensive 22 5 Lack of knowledge of induction use 1 6 Feel uncomfortable cooking on induction 3 7 Not suitable for large rentals 8 8 No any problem 191 Sysmiss 6164 I11. Problems faced in using electric/induction stoves-2 45 6463 0 ! Not applicable ! 0 1 Unreliable power supply 4 2 Expensive cooking utensils 10 3 Non-availability of induction repair service 8 4 Electricity being expensive 18 5 Lack of knowledge of induction use 1 6 Feel uncomfortable cooking on induction 2 7 Not suitable for large rentals 2 Sysmiss 6463 I11. Problems faced in using electric/induction stoves-3 14 6494 0 ! Not applicable ! 0 1 Unreliable power supply 2 2 Expensive cooking utensils 3 3 Non-availability of induction repair service 1 4 Electricity being expensive 2 5 Lack of knowledge of induction use 3 6 Feel uncomfortable cooking on induction 1 7 Not suitable for large rentals 2 Sysmiss 6494 I12. Change in firewood use during 25 yrs. 6508 0 1 Increased 340 2 Decreased 4373 3 No Change 1392 4 Not applicable 403 PSU 52064 0 501 826 663.574 94.176 Household No. 52064 0 1 2608 2 2608 3 2608 4 2600 5 2608 6 2608 7 2608 8 2608 9 2608 10 2608 11 2608 12 2608 13 2608 14 2600 15 2608 16 2608 17 2608 18 2584 19 2584 20 2576 J01. S.No. 52064 0 1 Tree 6508 2 Shrub 6508 3 Herbal plant / non-timber forest product 6508 4 Grass / fodder 6508 5 Aquatic animal 6508 6 Wild animal 6508 7 Birds 6508 8 Insects 6508 J02. Types 52064 0 Aquatic animal 6508 Birds 6508 Grass/fodder 6508 Herbal plant / non-t 6508 Insects 6508 Shrub 6508 Tree 6508 Wild animal 6508 J03. Status of change 52064 0 1 Changed 20245 2 Not changed 14126 3 Don't know 14921 4 Not applicable 2772 PSU 26032 0 501 826 663.574 94.177 Household No. 26032 0 1 1304 2 1304 3 1304 4 1300 5 1304 6 1304 7 1304 8 1304 9 1304 10 1304 11 1304 12 1304 13 1304 14 1300 15 1304 16 1304 17 1304 18 1292 19 1292 20 1288 J10. S.No. 26032 0 1 Shrub 6508 2 Climber plant climb on Tree 6508 3 Creeper plant on land 6508 4 Aquatic plant 6508 J11. Types of species 26032 0 Aquatic plant 6508 Climber plant climb on Tree 6508 Creeper plant on lan 6508 Shrub 6508 J12. Increased incidence of invassive species 26032 0 1 Yes 5192 2 No 10913 3 Don't know/Not applicable 9927 J14. Location of increased species 5192 20840 1 Forest 612 2 Pasture 196 3 Agri. 4070 4 Other 314 Sysmiss 20840 J15. Cause of appear new species 5192 20840 1 Naturally spread 4441 2 Spread by human 196 3 Dont' know 555 Sysmiss 20840 J16. Effect of new species - 1 5192 20840 1 Decreased Income 2824 2 Loss in timber 80 3 Loss in grass 833 4 Loss in firewood 9 5 Loss in dried leaves 308 6 Food grass loss 325 7 Human and livestock's health problem 37 8 No any affect 776 Sysmiss 20840 J16. Effect of new species - 2 1297 24735 0 ! Not applicable ! 0 1 Decreased Income 281 2 Loss in timber/firewood 75 3 Loss in grass 597 4 Loss in firewood 21 5 Loss in dried leaves 72 6 Food grass loss 218 7 Human and livestock's health problem 33 Sysmiss 24735 J16. Effect of new species - 3 249 25783 0 ! Not applicable ! 0 1 Decreased Income 29 2 Loss in timber/firewood 11 3 Loss in grass 38 4 Loss in firewood 9 5 Loss in dried leaves 47 6 Food grass loss 75 7 Human and livestock's health problem 40 Sysmiss 25783 J17. Control and management initiative taken-1 5192 20840 1 Burning 131 2 Cut and destroy 3861 3 Destroyed using drugs/chemicals 138 4 Used to make briquettes/biochar 3 5 Other 17 6 Don't did anything 1042 Sysmiss 20840 J17. Control and management initiative taken-2 1313 24719 0 ! None applicable ! 0 1 Burning 544 2 Cut and destroy 341 3 Destroyed using drugs/chemicals 141 4 Used to make briquettes/biochar 1 5 Other 286 Sysmiss 24719 J17. Control and management initiative taken-3 498 25534 0 ! None applicable ! 0 1 Burning 63 2 Cut and destroy 143 3 Destroyed using drugs/chemicals 32 4 Used to make briquettes/biochar 3 5 Other 257 Sysmiss 25534 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 J.18 Early flowering/fruiting in tree spacies 6508 0 1 Yes 1544 2 No 2465 3 Don't know 1745 4 Not applicable 754 6508 0 1 Yes 1096 2 No 2944 3 Don't know 1745 4 Not applicable 723 J.20 Early flowering/fruiting in local shrubs 6508 0 1 Yes 1147 2 No 2509 3 Don't know 2051 4 Not applicable 801 6508 0 1 Yes 840 2 No 2793 3 Don't know 2063 4 Not applicable 812 J.22 Early flowering/fruiting in local fruits 6508 0 1 Yes 1808 2 No 2336 3 Don't know 1573 4 Not applicable 791 6508 0 1 Yes 1334 2 No 2819 3 Don't know 1572 4 Not applicable 783 J.24 Early flowering/fruiting in local medicine plant 6508 0 1 Yes 652 2 No 1648 3 Don't know 3046 4 Not applicable 1162 6508 0 1 Yes 503 2 No 1759 3 Don't know 3081 4 Not applicable 1165 J.26 Effects of changes in flowering/fruiting on different plant varieties-1 6508 0 1 reduce fruit size 850 2 Loss of juice 349 3 Fruit cracking problem 285 4 Different in taste 317 5 Increased incidence of disease 582 6 Decrease in production 355 7 Decreased medicinal effect of herbs 12 8 Not applicable 3758 J.26 Effects of changes in flowering/fruiting on diffeent plant varieties-2 2026 4482 0 ! Not applicable ! 0 1 reduce fruit size 244 2 Loss of juice 326 3 Fruit cracking problem 333 4 Different in taste 421 5 Increased incidence of disease 440 6 Decrease in production 259 7 Decreased medicinal effect of herbs 3 Sysmiss 4482 J.26 Effects of changes in flowering/fruiting on diffeent plant varieties-3 1118 5390 0 ! Not applicable ! 0 1 reduce fruit size 113 2 Loss of juice 85 3 Fruit cracking problem 141 4 Different in taste 230 5 Increased incidence of disease 248 6 Decrease in production 280 7 Decreased medicinal effect of herbs 21 Sysmiss 5390 J.27 Change in breeding period of livestock 6508 0 1 Yes 564 2 No 3340 3 Don't know 1155 4 Not applicable 1449 J.28 Adverse effects of changes in breeding time of domestic animals-1 564 5944 1 Weight loss 183 2 Low breeding 158 3 Increase death 134 4 Loss milk quantity 89 Sysmiss 5944 J.28 Adverse effects of changes in breeding time of domestic animals-2 321 6187 0 ! Not applicable ! 0 1 Weight loss 50 2 Low breeding 97 3 Increase death 83 4 Loss milk quantity 91 Sysmiss 6187 J.28 Adverse effects of changes in breeding time of domestic animals-3 101 6407 0 ! Not applicable ! 0 1 Weight loss 20 2 Low breeding 15 3 Increase death 20 4 Loss milk quantity 46 Sysmiss 6407 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 K.01 Taking any related agri. adaptation training 6508 0 1 Yes 609 2 No 4005 3 Not applicable 1894 K.02 Change in crop cultivation system 6508 0 1 Yes 1065 2 No 3549 3 Not applicable 1894 K.03 Leave land without cultivation 6508 0 1 Yes 908 2 No 3706 3 Not applicable 1894 K.04 Animal husbandry of different race 6508 0 1 Yes 378 2 No 4236 3 Not applicable 1894 K.05 Manage additional irrigation system 6508 0 1 Yes 811 2 No 3803 3 Not applicable 1894 K.06 Construction of pond 6508 0 1 Yes 139 2 No 4475 3 Not applicable 1894 K.07 Adapted improved seed 6508 0 1 Yes 2904 2 No 1710 3 Not applicable 1894 K.08 Change in crop cultivation time 6508 0 1 Yes 1339 2 No 3275 3 Not applicable 1894 K.09 Increase in chemical fertilizer 6508 0 1 Yes 2932 2 No 1682 3 Not applicable 1894 K.10 Use only orgaic fertilizer 6508 0 1 Yes 1457 2 No 3157 3 Not applicable 1894 K.11 Area of land where only organic fertilizers are applied - B/R 1457 5051 0 60 4.464 5.946 K.11 Area of land where organic fertilizers are used only - K/A 1457 5051 0 1156 1 14 2 28 3 31 4 25 5 40 6 7 7 8 8 35 9 5 10 50 11 3 12 13 13 3 14 4 15 30 16 1 17 1 18 1 19 2 Sysmiss 5051 K.11 Area of land where only organic fertilizers are applied - D/P 1457 5051 0 1436 1 1 2 1 3 3 4 1 5 3 10 5 12 2 13 2 15 1 17 1 18 1 Sysmiss 5051 K.11 A unit of land where organic fertilizers are used only 1457 5051 1 Bigha 225 2 Ropani 1232 Sysmiss 5051 K.12 Cultivate of new crop 6508 0 1 Yes 690 2 No 3924 3 Not applicable 1894 K.13 Raised new varieties of livestock 6508 0 1 Yes 280 2 No 4334 3 Not applicable 1894 K.14 Investment to protect livestock from diseases 6508 0 1 Yes 2134 2 No 2480 3 Not applicable 1894 K15 Amount expenses to control diseases on livestock 2134 4374 0 1500000 14880.928 42077.523 K.16 Insurance made for livestock 6508 0 1 Yes 205 2 No 4410 3 Not applicable 1893 205 6303 1 Cow 87 2 Buffalo 57 3 Ox 3 4 Goat 45 5 Poultry 4 6 Duck 0 7 Others 9 Sysmiss 6303 40 6468 0 !Not applicable! 0 1 Cow 0 2 Buffalo 25 3 Ox 1 4 Goat 13 5 Poultry 0 6 Duck 0 7 Others 1 Sysmiss 6468 6 6502 0 !Not applicable! 0 1 Cow 0 2 Buffalo 1 3 Ox 0 4 Goat 4 5 Poultry 1 6 Duck 0 7 Others 0 Sysmiss 6502 K18 Yearly insuranced amount on livestock 205 6303 0 300000 7363.902 25746.069 K.19 Insurance made for agri. crops 6508 0 1 Yes 33 2 No 4581 3 Not applicable 1894 K.20 Name of Insuranced crops-1 33 6475 1 Cereal crops 5 2 Pulses 0 3 Vegetable crops 1 4 Cash crops 2 5 Fruit crops 25 Sysmiss 6475 K.20 Name of Insuranced crops-2 3 6505 0 ! Not applicable ! 0 1 Cereal crops 0 2 Pulses 2 3 Vegetable crops 1 4 Cash crops 0 5 Fruit crops 0 Sysmiss 6505 K.20 Name of Insuranced crops-3 2 6506 0 ! Not applicable ! 0 1 Cereal crops 0 2 Pulses 0 3 Vegetable crops 2 4 Cash crops 0 5 Fruit crops 0 Sysmiss 6506 K.21 Yearly insuranced amount on crops 33 6475 500 50000 8500 9927.267 K.22 Start only animal husbandry 6508 0 1 Yes 68 2 No 4578 3 Not applicable 1862 K.23 Start only doing crop cultivation 6508 0 1 Yes 267 2 No 4362 3 Not applicable 1879 K.24 Start animal husbandry and crop cultivate (mixed) 6508 0 1 Yes 1879 2 No 2735 3 Not applicable 1894 K.25 Start agri. forest 6508 0 1 Yes 124 2 No 4490 3 Not applicable 1894 K.26 Start compatible cropping 6508 0 1 Yes 1071 2 No 3543 3 Not applicable 1894 K.27 Area of compatible cropping - B/R 1071 5437 0 35 2.102 3.455 K.27 Area of compatible cropping - K/A 1071 5437 0 666 1 25 2 44 3 32 4 34 5 85 6 30 7 8 8 38 9 4 10 55 11 1 12 14 13 4 14 5 15 25 16 1 Sysmiss 5437 K.27 Area of compatible cropping - D/P 1071 5437 0 1056 2 1 3 1 5 2 7 1 10 9 13 1 Sysmiss 5437 K.27 Unit of compatible cropping 1071 5437 1 Bigha 336 2 Ropani 735 Sysmiss 5437 K.28 Use of Tunnel Technique 6508 0 1 Yes 73 2 No 4541 3 Not applicable 1894 K.29 Area of tunnel farming - B/R 73 6435 0 58 1 10 2 3 4 1 5 1 Sysmiss 6435 K.29 Area of tunnel farming - K/A 73 6435 0 16 1 1 2 7 3 5 4 19 5 6 6 2 7 1 8 12 10 2 12 1 14 1 Sysmiss 6435 K.29 Area of tunnel farming - D/P 73 6435 0 72 10 1 Sysmiss 6435 K29. Unit of tunnel farming land 73 6435 1 Bigha 3 2 Ropani 70 Sysmiss 6435 K.30 Used cold storage 6508 0 1 Yes 192 2 No 4422 3 Not applicable 1894 K.31 Work on water and land conservation 6508 0 1 Yes 677 2 No 3937 3 Not applicable 1894 K32 Any agri. services received from the local office 6508 0 1 Yes 1421 2 No 3193 3 Not applicable 1894 K.33 Work to control invasive plant 6508 0 1 Yes 2385 2 No 2229 3 Not applicable 1894 K.34 Work on improvement/increase soil quality 6508 0 1 Yes 304 2 No 4310 3 Not applicable 1894 K.35 Area of soil quality improved/increased - B/R 304 6204 0 45 3.924 5.834 K.35 Area of soil quality improved/increased - K/A 304 6204 0 210 1 7 2 5 3 3 4 9 5 11 6 4 7 5 8 21 9 2 10 15 11 1 12 2 14 1 15 6 17 2 Sysmiss 6204 K.35 Area of soil quality improved/increased - D/P 304 6204 0 300 3 1 5 1 10 2 Sysmiss 6204 K.35 Unit of soil quality improved/increased land 304 6204 1 Bigha 88 2 Ropani 216 Sysmiss 6204 K.36 Work to minimize climatic induced disaster 6508 0 1 Yes 523 2 No 4091 3 Not applicable 1894 K.38 Behaviour change in food consumption 6508 0 1 Yes 2082 2 No 4426 K.39 Increase non-agri. business locally 6508 0 1 Yes 1752 2 No 4756 K.40 Shifted in non-agri. employment 6508 0 1 Yes 2602 2 No 3906 K.41 Having temporary out-migration 6508 0 1 Yes 1674 2 No 4834 K.42 Participate in flood/landslide risk reduction activities 6508 0 1 Yes 723 2 No 5785 K.43 Participate in improvement of road infra. 6508 0 1 Yes 1148 2 No 5360 K.44 Participate in natural resource mgmt. 6508 0 1 Yes 970 2 No 5538 K.45 Participate in climate induced disaster risk reduction capacity improvement 6508 0 1 Yes 418 2 No 6090 PSU 6508 0 501 826 663.574 94.182 Household No. 6508 0 1 326 2 326 3 326 4 325 5 326 6 326 7 326 8 326 9 326 10 326 11 326 12 326 13 326 14 325 15 326 16 326 17 326 18 323 19 323 20 322 Altitude Group (meters) 6508 0 1 Below 500 2826 2 916 3 1000 - Below 1500 1690 4 1500 - Below 2000 665 5 2000 - Below 2500 289 6 Above 2500 122 Risk Rating 6508 0 1 Very Low 4188 2 Low 1360 3 Moderate 620 4 High 80 5 Very High 260 Province code 6508 0 1 Koshi 1180 2 Madhesh 719 3 Bagmati 1529 4 Gandaki 720 5 Lumbini 960 6 Karnali 560 7 Sudurpaschim 840 Province Name 6508 0 Bagamati 279 Bagmati 1250 Gandaki 720 Karnali 560 Koshi 1180 Lumbini 960 Madhesh 719 Sudurpachim 100 Sudurpaschim 680 sudhurpachim 40 sudur pacim 20 Stratum Number 6508 0 11 Koshi-Mountain 200 12 Koshi-Hill 420 13 Koshi-Tarai 560 23 Madhesh-Tarai 719 31 Bagmati-Mountain 240 32 Bagmati-Hill 1010 33 Bagmati-Tarai 279 41 Gandaki-Mountain 40 42 Gandaki-Hill 480 43 Gandaki-Tarai 200 52 Lumbini-Hill 360 53 Lumbini-Tarai 600 61 Karnali-Mountain 200 62 Karnali-Hill 360 71 Sudurpaschim-Mountain 200 72 Sudurpaschim-Hill 280 73 Sudurpaschim-Tarai 360 Stratum Name 6508 1010 279 Bagmati - Mountain 240 Gandaki - Hill 480 Gandaki - Mountain 40 Gandaki - Tarai 200 Karnali - Hill 360 Karnali - Mountain 200 Koshi - Hill 420 Koshi - Mountain 200 Koshi - Tarai 560 Lumbini - Hill 360 Lumbini - Tarai 600 719 Sudurpaschim - Hill 280 Sudurpaschim - Mountain 200 Sudurpaschim - Tarai 360 Urban/Rural 6508 0 1 Urban 4028 2 Rural 2480 Ecological Belt 6508 0 1 Mountain 880 2 Hill 2910 3 Tarai 2718 Weight 6508 0 51.514 1352.924 496.56 257.447