NPL-CBS-NLSS-2010-v2
DDI-NPL-NLSS-2010-v02
Central Bureau of Statistics
2012-03-27
Nesstar Publisher
Nepal Living Standards Survey 2010-2011
NLSS Third
NLSS 2010-2011
Nepal Jivanstar Sarvekshan, 2066/67
NPL-CBS-NLSS-2010-v2
Central Bureau of Statistics
NLSS-III Steering Committee
NLSS-III Technical Committee
World Bank
United Nations International Children's Emergency Fund
(c) 2012 Central Bureau of Statistics (CBS), Government of Nepal
Nesstar Publisher
Government of Nepal
World Bank
Regular Budget
Director of Publication, Dissemination and Library Section
Living Standards Measurement Study [hh/lsms]
v2: Cleaned, edited, anonymized final dataset for public distribution.
Poverty
Access to Finance
Health
Education
Agriculture & Rural Development
Labor Markets
Nepal
National coverage
Urban-Rural areas
Ecological Zones
Development Regions
individuals, households, and communities
All households in the country were considered eligible for selection in the survey. The survey, however, excluded the households of diplomatic missions. The institutional households (like people living in schools hostels, prisons, army camps and hospitals) were also excluded from the survey. The household members were determined on the basis of the usual place of their residence. Foreign nationals whose usual place of residence is within the country were included in the survey.
Sample survey data [ssd]
Consistent with the basic survey objectives, the data items included in the survey belong to the following broad topics: demography, housing, access to facilities, migration, consumer expenditure, education, health, marriage and maternity history, work and time use, employment and unemployment, wage and salary, agriculture, non-agricultural activities, credit and savings, absentees population, remittances and transfers, social assistances, adequacy of consumption and government services/facilities, anthropometry and tracking of households enumerated (in the previous surveys).
Central Bureau of Statistics
Branch Statistics Office
Face-to-face [f2f]
Director General
Central Bureau of Statistics (CBS), Nepal. Living Standards Survey 2010-2011. Dataset downloaded from http://cbs.gov.np/nada/index.php/catalog on [date].
The Central Bureau of Statistics, Nepal bears no responsibility for any outcomes or for interpretations or inferences arising from the use of the dataset.
weight.NSDstat
0
8
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh00_s00.NSDstat
0
105
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh01_s01.NSDstat
0
22
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh02_s02.NSDstat
0
63
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh03_s03.NSDstat
0
13
Nesstar 200801
Central Bureau of Statistics
v3: cleaned, edited, anonymized final dataset for public distribution.
xh04_s04.NSDstat
0
27
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh05_s05.NSDstat
0
20
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh06_s06a.NSDstat
This file contains household-level information from Section 6 - Non-food Expenditures and Inventory of Durable Goods, Section A - Frequent non-food expenditures of the questionnaire.
0
8
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh07_s06b.NSDstat
This file contains household-level information from Section 6 - Non-food Expenditures and Inventory of Durable Goods, Section B - Infrequent Non-Food Expenditures of the questionnaire.
0
7
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh08_s06c.NSDstat
This file contains household-level information from Section 6 - Non-food Expenditures and Inventory of Durable Goods, Section C - Inventory of Durable Goods of the questionnaire.
0
11
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh09_s06d.NSDstat
This file contains household-level information from Section 6 - Non-food Expenditures and Inventory of Durable Goods, Section D - Own Account Production of Goods of the questionnaire.
0
8
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh10_s07.NSDstat
The file contains data for questions in SECTION 7. EDUCATION of NLSS III Questionnaire.
0
49
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh11_s08.NSDstat
The file contains data for Section 8. Health of the NLSS III (2010/11) questionnaire.
0
63
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh12_s09a.NSDstat
The file contains data for Part A. Maternity History of Section 9. Marriage and Maternity History of the NLSS III (2010/11) questionnaire.
0
19
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh13_s09b.NSDstat
The file contains data for Part B. Pre- and Post-Natal Care of Section 9. Marriage and Maternity History of the NLSS III (2010/11) questionnaire.
0
19
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh14_s09c.NSDstat
The file contains data for Part C. Family Planning of Section 9. Marriage and Maternity History
0
17
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh15_s09d.NSDstat
The file contains data for Part D. Household Decisions of Section 9. Marriage and Maternity History of the NLSS III (2010/11) questionnaire.
0
8
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh16_s10a.NSDstat
The file contains data for Part A. Time Use of Section 10. Jobs and Time Use of the NLSS III (2010/11) questionnaire.
0
18
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh17_s10b.NSDstat
The file contains data for Part B. Jobs during the past 12 Months of Section 10. Jobs and Time Use of the NLSS III (2010/11) questionnaire.
0
31
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh18_s11.NSDstat
The file contains data for Section 11. Unemployment/ Under-employment of the NLSS III (2010/11) questionnaire.
0
11
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh19_s12.NSDstat
The file contains data for Section 12. Wage Jobs of the NLSS III (2010/11) questionnaire.
0
37
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh20_s13a1.NSDstat
The file contains data for Part A1. Landholding - Land Owned of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
30
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh21_s13a2.NSDstat
The file contains data for Part A2. Landholding - Land Sharecropped/ Rented/ Mortgaged-in of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
24
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh22_s13b.NSDstat
The file contains data for Part B. Production and Uses of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
15
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh23_s13c1.NSDstat
The file contains data for Part C1. Expenditures on Seeds and Young Plants of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
9
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh24_s13c2.NSDstat
The file contains data for Part C2. Expenditures on Fertilizers and Insecticides
0
11
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh25_s13c3.NSDstat
The file contains data for Part C3. Expenditures on Agricultural Products - Hiring Labour of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
17
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh26_s13d1.NSDstat
The file contains data for Part D1. Agriculture - Earnings/ Expenditures (Revenues) of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
6
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh27_s13d2.NSDstat
The file contains data for Part D2. Agriculture - Earnings/ Expenditures (Expenditures) of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
6
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh28_s13e1.NSDstat
The file contains data for Part E1. Livestock - Ownership and Related Expenses (Q13.66 to Q13.70) of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
14
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh29_s13e2.NSDstat
The file contains data for Part E2. Livestock - Ownership and Related Expenses (Income) of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
6
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh30_s13e3.NSDstat
The file contains data for Part E3. Livestock - Ownership and Related Expenses (Expenditures) of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
6
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh31_s13f.NSDstat
The file contains data for Part F. Ownership of Farming Assets and Extension Services of Section 13. Farming and Livestock of the NLSS III (2010/11) questionnaire.
0
12
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh32_s14.NSDstat
0
41
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh33_s15a.NSDstat
The file contains data for Part A. Borrowing and Outstanding Loans of Section 15. Credit and Savings of the NLSS III (2010/11) questionnaire.
0
20
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh34_s15b.NSDstat
The file contains data for Part B. Lending and Outstanding Loans of Section 15. Credit and Savings of the NLSS III (2010/11) questionnaire.
0
19
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh35_s15c.NSDstat
The file contains data for Part C. Other Assets of Section 15. Credit and Savings of the NLSS III (2010/11) questionnaire.
0
15
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh36_s15d.NSDstat
The file contains data for Part D. Household Decisions of Section 15. Credit and Savings of the NLSS III (2010/11) questionnaire.
0
8
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh37_s16.NSDstat
The file contains data for Section 16. Absentees Information of the NLSS III (2010/11) questionnaire.
0
26
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh38_s17a.NSDstat
The file contains data for Part A - Remittances and Transfer-Income Sent of Section 17. Remittances of the NLSS III (2010/11) questionnaire.
0
15
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh39_s17b.NSDstat
The file contains data for Part B - Remittances and transfer Income Received of Section 17. Remittances of the NLSS III (2010/11) questionnaire.
0
18
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh40_s18a.NSDstat
The file contains data for Part A. Cash Transfer Programs of Section 18. Transfers, Social Assistance and Other Income of the NLSS III (2010/11) questionnaire.
0
14
Nesstar 200801
Central Bureau of Statistics
v3: cleaned, edited, anonymized final dataset for public distribution.
xh41_s18b.NSDstat
The file contains data for Part B. In-Kind Transfer Programs and Public Works of Section 18. Transfers, Social Assistance and Other Income of the NLSS III (2010/11) questionnaire.
0
9
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh42_s18c.NSDstat
The file contains data for Part C. In-Kind Transfer Programs and Public Works of Section 18. Transfers, Social Assistance and Other Income of the NLSS III (2010/11) questionnaire.
0
9
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh43_s19.NSDstat
The file contains data for Section 19. Adequacy of Consumption and Government Facilities of the NLSS III (2010/11) questionnaire.
0
33
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xh44_s20.NSDstat
The file contains data for Section 20. Anthropometrics of the NLSS III (2010/11) questionnaire.
0
19
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xH45_S21.NSDstat
The file contains data for Section 21. Panel Sample Household Tracking Q (21.01 - 21.05) of the NLSS III (2010/11) questionnaire.
0
18
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
xH46_S21x.NSDstat
The file contains data for Section 21. Panel Sample Household Tracking Q (21.06 - 21.14) of the NLSS III (2010/11) questionnaire.
0
15
Nesstar 200801
Central Bureau of Statistics, Nepal
v3: cleaned, edited, anonymized final dataset for public distribution.
psu
PSU
0
0
household number
Household number
0
0
This represents household number. In each of the selected PSUs, 12 households have been selected for enumeration and 6 households have been selected for replacement of non-response. So the xhnum can vary between 1 and 18 in all the rural areas. Whereas, because of the higher relocation or disappearance of selected households in the urban areas like Kathmandu Valley, two households for each selected househol were provied as alternative for replacement. Therefore, in such cases this number varies from 1 to 36.
geographical belt
Geographical belt
0
0
0
0
1
mountain
2
hill
3
terai
development regions
Development regions
0
0
0
0
1
eastern
2
centeral
3
western
4
mid-western
5
far-western
urban/rural areas
Urban/rural areas
0
0
0
0
1
urban
2
rural
analytical domains
analytical domains
0
0
1
mountains
2
urban - kathmandu
3
urban - hill
4
urban -terai
5
rural hills - eastern
6
rural hills -central
7
rural hills - western
8
rural hills - mid and far west
9
rural terai - eastern
10
rural terai - central
11
rural terai - western
12
rural terai - mid and far west
individual weights
individual weights
0
0
household weights
household weights
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
psu geo-codes: district
District
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
psu geo-codes: vdc/municipality
VDC/Municipality
0
0
a. household no.
Interviewer
HOUSEHOLD ID: HH
0
0
a. household was interviewed
Interviewer
A. Household Interviewed?
Yes [1] -> Household Data
0
0
1
yes
2
no
b. reason household not interviewed
Interviewer
B. Reason not interviewed
0
0
1
dwelling not found
2
household not found
3
refusal
c. replaced by household number
Interviewer
SUPERVISOR: Please fill if household to be replaced, or if this household is a replacement household.
C. This household will be replaced by Household No.
0
0
0
not a replacement
d. this household replaces household number
Interviewer
SUPERVISOR: Please fill if household to be replaced, or if this household is a replacement household.
D. This household replaces Household No.
0
0
0
this household does not replace any other one
e. religion of hhld head
Interviewer
E. Religion of Head
Use religion codes provided of head at the back of the questionnaire.
0
0
1
hindu
2
bouddha
3
islam
4
kirant
5
jain
6
christian
7
shikh
8
bahai
9
other religion
f. language used in household
Interviewer
F. Language used in the household
0
0
1
nepali
2
maithili
3
bhojpuri
4
tharu (dagaura/rana)
5
tamang
6
newar
7
magar
8
awadhi
9
bantawa
10
gurung
11
limbu
12
bajjika
13
urdu
14
rajbansi
15
sherpa
16
hindi
17
chamling
18
santhali
19
chepang
20
danuwar
21
jhangar/dhangar
22
sunuwar
23
bangla
24
marwari (rajsthani)
25
manjhi
26
thami
27
kulung
28
dhimal
29
angika
30
yakkha
31
thulung
32
sangpang
33
bhujel/khawas
34
darai
35
khaling
36
kumal
37
thakali
38
chhantyal/chhantel
39
nepali sign language
40
tibbetan
41
dumi
42
jirel
43
wambule/ umbule
44
puma
45
yholmo
46
nachhiring
47
dura
48
meche
49
pahari
50
lepcha/ lapche
51
bote
52
bahing
53
koi/ koyu
54
raji
55
hayu
56
byangshi
57
yamphu/ yamphe
58
ghale
59
khariya
60
chhiling
61
lohorung
62
punjabi
63
chinese
64
english
65
mewahang
66
sanskrit
67
kaike
68
raute
69
kisan
70
churauti
71
baram/ maramu
72
tilung
73
jero/ jerung
74
dungmali
75
oriya
76
lingkhim
77
kusunda
78
sindhi
79
koche
80
hariyanwi
81
magahi
82
sam
83
kurmali
84
kagate
85
dzonkha
86
kuki
87
chhintang
88
mizo
89
nagamese
90
lhomi
91
assamise
92
sadhani
93
other language
g. interpreter used
Interviewer
G. Interpreter
0
0
1
yes
2
no
team number
Team Number
0
0
interviewer
Interviewer
0
0
12
laxman ban
13
narayan karki
14
indira khapangi magar
15
anjana oli
22
ramesh bahadur shrestha
23
ishwor lal mandal
24
khadka kumari lamichhane (sapkota)
25
pratima gyawali (adhikari)
32
suresh kumar shrestha
33
yam bahadur gurung
34
ganga bhujel
35
bebi deji gupta
42
loknath lamichhane
43
narayan bahadur thapa
44
ramita poudel
45
usha kumari choudhari
52
santosh chandra thapa
53
santosh karki
54
gyani dhakal
55
gita rimal
62
kashi mandal
63
bij kumar yadav
64
shushila kumari shah
65
uma kumari
72
ramprit yadav
73
jaya kishan prasad sonar
74
madhu mallik
75
kalyani sah
82
mahantha prasad yadav
83
rajendra prasad choudhari
84
nargis khatoon
85
pinki kumari ojha
92
gajendra lal shrestha
93
pushkar prasad guragai
94
sunita dhakal (pokhrel)
95
sanu maiya shrestha
102
krishna prasad choulagai
103
kalkika shrestha
104
indira birbal
105
rama kumari thapa
106
prativa soti
112
kiran bista
113
dipak bhattarai
114
dambar kumari ghale (pariyar)
115
binu shrestha
122
renu kumari ghimire
123
rajendra parajuli
124
renuka lamichhane
125
kaushila adhikari (bohara)
132
rabi lal shrestha
133
surendra raj poudel
134
samjhana basnet
135
bindu pande
142
tilak prasad acharya
143
ghanashyam sapkota
144
anjana kumari shrestha
145
sharada pande
152
yubraj khadka
153
ramchandra gautam
154
kalpana bhandari (thapa)
155
sakuntala dhakal
162
surya giri
163
kamal prasad poudel
164
shila g.c.
165
shushila kumal
172
saroj pokhrel
173
prem kumari sharma
174
shira sharma
175
shushma adhikari
182
megh nath regmi
183
lanka bahadur bam
184
shanta kumari pokhrel
185
laxmi gupta
192
tej narayan adhikari
193
hari bahadur gharti
194
prativa shoti
195
pooja thapa
196
prathana bhatta
202
ram datta bhatta
203
shanbhu narayan panta
204
pushpa joshi
205
sapana bhatta
supervisor
Supervisor
0
0
11
nava raj shrestha
21
suman kumar shrestha
31
kedar prasad neupane
41
janak babu kafle
51
balaram dulal
61
pawan kumar thakur
71
raj kishor sah
81
sanjaya kumar yadav
91
damodar shrestha
101
deepak koirala
111
urmila shahi
121
ram prasad wagle
131
kanta lal choudhari
141
bishnu raj regmi
151
jeevnath acharya
161
damodar neupane
171
damodar gautam
181
ram bahadur thapa
191
bishwo darshan dhungana
201
mohan dev bhatta
entry operator
Data Entry Operator's Code
0
0
13
narayan karki
22
ramesh bahadur shrestha
33
yam bahadur gurung
43
narayan bahadur thapa
52
santosh chandra thapa
64
shushila kumari shah
74
madhu mallik
84
nargis khatoon
93
pushkar prasad guragai
102
krishna prasad choulagai
106
prativa soti
113
dipak bhattarai
122
renu kumari ghimire
133
surendra raj poudel
142
tilak prasad acharya
152
yubraj khadka
162
surya giri
172
saroj pokhrel
183
lanka bahadur bam
193
hari bahadur gharti
194
prativa shoti
202
ram datta bhatta
1st interview/day
Date of Interviewer's Visits: No.1 - Day
0
0
0
date not given
1st interview/month
0
0
1st interview/year
Date of Interviewer's Visits: No. 1 - Year
0
0
2nd interview/day
Date of Interviewer's Visits: No. 2 - Day
0
0
2nd interview/month
Date of Interviewer's Visits: No. 2 - Month
0
0
2nd interview/year
Date of Interviewer's Visits: No. 2 - Year
0
0
3rd interview/day
Date of Interviewer's Visits: No. 3 - Day
0
0
3rd interview/month
Date of Interviewer's Visits: No. 3 - Month
0
0
3rd interview/year
Date of Interviewer's Visits: No. 3 - Year
0
0
supervision/day
Date of Supervision: Day
0
0
0
date not given
supervision/month
Date of Supervision: Month
0
0
supervision/year
Date of Supervision: Year
0
0
name of household head
0
0
{13.02} household has own agricultural land
Does your household own any agricultural land?
No [2] -> PART A2
0
0
1
yes
2
no
{13.18} household has land sharecropped/rented/mortgaged-in
Over the past AGRICULTURE YEAR did your household cultivate land owned by someone else (or that was mortgaged in)?
No [2] -> PART A3
0
0
1
yes
2
no
{13.29} household did sell, transfer land
Did your household sell/transfer any land over the past 12 months?
No [2] -> (13.32)
0
0
1
yes
2
no
{13.30} 1st area sold, transferred/unit (in ropani)
How much land did your household sell/transfer?
0
0
1
ropani
{13.30} 1st area sold, transferred/ropani
How much land did your household sell/transfer? Ropani
0
0
{13.30} 1st area sold, transferred/asana
How much land did your household sell/transfer? Aana
0
0
{13.30} 1st area sold, transferred/paisa
How much land did your household sell/transfer? Paisa
0
0
{13.30} 2nd area sold, transferred/unit (in bigha)
How much land did your household sell/transfer?
0
0
2
bigha
{13.30} 2nd area sold, transferred/bigha
How much land did your household sell/transfer? Bigha
0
0
{13.30} 2nd area sold, transferred/katha
How much land did your household sell/transfer? Kattha
0
0
{13.30} 2nd area sold, transferred/dour
How much land did your household sell/transfer? Dhur
0
0
{13.31} 1st area sold, transferred/amount received (rest)
How much land did your household receive from the sales?
Write ZERO if free
0
0
{13.32} household did acquired land
Did your household buy/get any land over the past 12 months?
PART B
If there is no land on the ownership (13.02), no land operated (13.18), no land sold/ bought (13.29) and no land bought (13.32) during the reference period. -> PART E]]>
0
0
1
yes
2
no
{13.33} 1st area acquired/unit (in ropani)
How much land did your household buy/get?
0
0
1
ropani
{13.33} 1st area acquired/ropani
How much land did your household buy/get? Ropani
0
0
{13.33} 1st area acquired/aana
How much land did your household buy/get? Aana
0
0
{13.33} 1st area acquired/paisa
How much land did your household buy/get? Paisa
0
0
{13.33} 2nd area acquired/unit (in bigha)
How much land did your household buy/get?
0
0
2
bigha
{13.33} 2nd area acquired/bigha
How much land did your household buy/get? bigha
0
0
{13.33} 2nd area acquired/katha
How much land did your household buy/get? kattha
0
0
{13.33} 2nd area acquired/dour
How much land did your household buy/get? dhur
0
0
{13.34} area acquired/amount paid (rest)
How much did your household pay for this land?
Write ZERO if free.
0
0
{13.38} 98-control total of the 'amount of total sales'
If crop not, leave the blank in Column "A" and write "0" in Column B, C & D
0
0
{13.39} household purchased/received seeds, young plants
Did you produce or receive any seeds or young plants over the past AGRICULTURE YEAR?
No [2] -> PART C2
0
0
1
yes
2
no
{13.43} household purchased fertilizers, insecticides
Did you purchase any fertilizers or insecticides over the past AGRICULTURE YEAR (or receive them from the landlord)?
No -> PART C3
0
0
1
yes
2
no
{13.48a} fertilizer/place where it was obtained
A) where did you obtain most of the fertilizer?
0
0
1
government
2
ngo
3
private
4
cooperative, community
{13.48b} fertilizer/could obtain as needed
B) Were you able to obtain all the fertilizer you needed over the past AGRICULTURE YEAR?
Yes -> PART C3
0
0
1
yes
2
no
{13.49} reason for unable to obtain all needed
Why were you unable to get all the fertilizer you needed in the past AGRICULTURE YEAR?
0
0
1
not available for purchase
2
no money for purchase
3
other
{13.50} hire any casual farm workers
Did you hire any casual farm workers over the past AGRICULTURE YEAR?
(13.58)
Only Exchange Labour -> Line 13]]>
0
0
1
yes
2
no
3
exchange labour only
{13.53) exchange labor man-days, male
0
0
{13_53} exchange labor man-days, female
0
0
{13.58} total expenditure for hiring casual farm workers
TOTAL EXPENDITURE ON HIRING CASUAL WORKERS
If nothing, write ZERO.
0
0
{13.59} hired any permanent farm workers
Did you hire any permanent farm workers over the past AGRICULTURE YEAR?
No [2] -> (13.62)
0
0
1
yes
2
no
{13.60} permanent workers/number hired
How many permanent workers did you hire? NUMBER
0
0
{13.61} permanent workers/paid in cash and in-kind to
How much did you pay (cash and in-kind) the permanent workers over the past AGRICULTURE YEAR? SUB-TOTAL - PERMANENT WORKERS
0
0
{13.62} total expenditure on hired workers
TOTAL EXPENDITURE ON HIRING FARM LABOR
Add (Q 13.58 and Q 13.61) and write in box.
0
0
{13.65} household owns livestock
Has your household owned any livestock over the past 12 months?
No [2] -> PART F
0
0
1
yes
2
no
{13.73} hired labor for tending livestock
During the past 12 months, did you hire any labor for lending livestock?
0
0
1
yes
2
no
{13.74} household owned any equipment
Has your household owned any equipment over the past 12 months?
No [2] -> (13.82)
0
0
1
yes
2
no
{13.82} advice taken from govt. agriculture technician
Have you or any member of your household taken technical advice from Government Agriculture Technician over the past 12 months?
Yes [1] -> (13.84)
0
0
1
yes
2
no
{13.83} reason for not taking advice from govt. agriculture
Why haven't you or any member of your household taken technical advice from Government Agriculture Technicial over the past 12 months?
0
0
1
service far away
2
service is not good
3
not necessary
4
other
{13.84} advice taken from govt. livestock service technician
Have you or any member of your household taken technical advice from Government Livestock Service Technician over the past 12 months?
Yes [1] -> NEXT SECTION
0
0
1
yes
2
no
{13.85} reason for not taking advice from govt. livestock service tech
Why haven't you or any member of your household taken technical advice from Government Livestock Service Technician over the past 12 months?
0
0
1
service far away
2
service is not good
3
not necessary
4
other
{14.01} any self-employment activities
Interviewer
Check Section 10 Question (10.07). See if any self-employment activities outside agriculture reported (Code "4")
No [2] -> NEXT SECTION
0
0
1
yes
2
no
{15.01} any outstanding loans
Do you or any member of your household have loans outstanding or have your household contracted any loans over the past 12 months that you have already repaid (include both cash and in-kind loans)?
No [2] -> PART B
0
0
1
yes
2
no
{15.14} any loans owed to the household
Does any person outside your household have loans owed to you or any member of your househod? Have any loans been repaid to members of your household over the past 12 months?
No [2] -> PART C
0
0
1
yes
2
no
{16.00} any absentees
Are there any people that are not current household members, therefore are not in Section 1, but were household members sometime in the past and is expected to come back for to this household?
No [2] -> NEXT SECTION
0
0
1
yes
2
no
{17.01} any remittances sent out
During the past 12 months, did you, or any member of your household send money or other payments (for example, food or clothing) to someone who is not a member of your household?
PART B
Do not include those absentees already listed in Section 16.]]>
0
0
1
yes
2
no
{17.11} any remittances received
During the past 12 months, have you received any money or payments in kind, or gifts from any person who is not a member of your household?
NEXT SECTION
Do not include those absentees already listed in Section 16.]]>
0
0
1
yes
2
no
{1.00} respondent id-code
Interviewer
0
0
0
!information not gathered at the field!
{2.a} respondent id-code
Interviewer
Section 2 Housing
ID CODE RESPONDENT
0
0
{3.00} respondent id-code
Interviewer
Section 3 Access to Facilities
ID CODE RESPONDENT
0
0
{5.00} respondent id-code
Interviewer
Section 5 Food expenses and home production
ID CODE RESPONDENT
0
0
{6.00} respondent id-code
Interviewer
Section 6 Non-food expenditures and inventory of durable goods
ID CODE RESPONDENT
0
0
{9.36} respondent id-code
Interviewer
Section 9 Marriage and maternity history
ID CODE OF RESPONDENT
0
0
0
no competent respondent
{13.01} respondent id-code
Interviewer
ID CODE OF RESPONDENT
0
0
{13.17} respondent id-code
Interviewer
ID CODE OF RESPONDENT
0
0
{15.38} respondent id-code
Interviewer
COPY THE ID CODE OF RESPONDENT
0
0
{19.01} respondent id-code
Interviewer
Section 19 Adequacy of consumption and government facilities
ID CODE OF RESPONDENT
0
0
{n-01} number of lines in section 1
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-09a} number of lines in section 9a
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-09b} number of lines in section 9b
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-10b} number of lines in section 10b
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-12} number of lines in section 12
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-14} number of lines in section 14
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-15a} number of lines in section 15-a
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-15b} number of lines in section 15-b
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-16} number of lines in section 16
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-17a} number of lines in section 17a
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-17b} number of lines in section 17b
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-13a1} number of plots 13-a1
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-13a2} number of plots 13-a2
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-13b} number of lines 13-b
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-13c1} number of plots 13-c1
Interviewer
0
0
This is a control variable to record the number of entries in the section.
{n-13c3} number of plots 13-c3
Interviewer
0
0
This is a control variable to record the number of entries in the section.
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
0
0
{1.01} name
Enumerator
TICK ONLY THE HOUSEHOLD MEMBERS
0
0
{1.02} sex
1.02: GENDER
0
0
1
male
2
female
{1.03} age
How old is ..[NAME]..?
0
0
{1.04} relationship to head
What is the relationship of ..[NAME].. to the head of household?
0
0
1
head
2
husband/wife
3
son/daughter
4
grandchild
5
father/mother
6
brother/sister
7
nephew/niece
8
son/daughter-in-law
9
brother/sister-in-law
10
father/mother-in-law
11
other family relative
12
servant/servant's relatives
13
tenant/tenant's relatives
14
other non related
{1.05} birth place: district/foreign
Where was ..[NAME].. born?
See districts in Table "A"
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hongkong
86
malayasia
87
japan
88
saudi arabia
89
qatar
90
united arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{1.05} birth place: urban/rural
Was it then an urban or rural area?
0
0
1
urban
2
rural
{1.06} marital status
FOR INDIVIDUALS 10 YRS AND ABOVE
What is the present marital status of ..[NAME]..?
(1.08)
Widow/ Widower [5] -> (1.08)
Divorced [6] -> (1.08)
Separated [7] -> (1.08)]]>
Individuals 10 years and above
0
0
1
never married
2
single married
3
poly married
4
re-married
5
widow/widower
6
divorced
7
separated
{1.07} spouse id code
SPOUSE'S ID CODE
If not a household member, write "98"
For individuals 10 years and above
0
0
98
Not a household member
{1.08} caste/ethnic
What's ..[NAME].. Caste/Ethnic group?
See castes/ ethnicity codes in Table "G"
0
0
1
chhetri
2
brahman (hill)
3
magar
4
tharu
5
tamang
6
newar
7
muslim
8
kami
9
yadav
10
rai
11
gurung
12
damain/dholi
13
limbu
14
thakuri
15
sarki
16
teli
17
chamar/harijan/ram
18
koiri
19
kurmi
20
sanyasi
21
dhanuk
22
musahar
23
dusadh/paswan/pasi
24
sherpa
25
sonar
26
kewat
27
brahman (terai)
28
baniya
29
gharti/bhujel
30
mallah
31
kalwar
32
kumal
33
hajam/thakur
34
kanu
35
rajbansi
36
sunuwar
37
sudhi
38
lohar
39
tatma
40
khatwe
41
dhobi
42
majhi
43
nuniya
44
kumhar
45
danuwar
46
chepang/praja
47
haluwai
48
rajpur
49
kayastha
50
badhae
51
marwadi
52
santhal/satar
53
dhagar/jhagar
54
bantar
55
barae
56
kahar
57
gangai
58
lodh
59
rajbhar
60
thami
61
dhimal
62
bhote
63
bing/binda
64
bhediyar/gaderi
65
nurang
66
yakkha
67
darai
68
tajpuriya
69
thakali
70
chidimar
71
pahari
72
mali
73
bangali
74
chhantal
75
dom
76
kamar
77
bote
78
brahmu/baramu
79
gaine
80
jirel
81
adibasi/janajati
82
dura
83
churaute
84
badi
85
meche
86
lepcha
87
halkhor
88
punjabi/sikh
89
kisan
90
raji
91
byangsi
92
hayu
93
koche
94
dhunia
95
walung
96
jain
97
munda
98
raute
99
yehlmo
100
patharkata/kuswadiya
101
kusunda
102
other dalit
103
other caste
{1.09} months at home
During the past 12 months, how many months did ..[NAME].. live here?
Write 12 if always present.
0
0
{1.10} member or not
According to criteria, is ..[NAME].. a member of the household?
No [2] -> NEXT PERSON
0
0
1
yes
2
no
0
0
{1.11} father living in home
Does ..[NAME].. 's father live in this household?
(1.13)
Died [3] > (1.13)]]>
0
0
1
yes
2
no
3
died
{1.12} father id code
COPY THE ID CODE OF THE FATHER
FATHER'S ID CODE
-> (1.14)
Father lives in the household
0
0
{1.13} father: highest degree completed
What was the highest class that the father of ..[NAME].. completed?
Father does not live in the household or has died.
0
0
0
pre-school/kindergarden
1
class 1
2
class 2
3
class 3
4
class 4
5
class 5
6
class 6
7
class 7
8
class 8
9
class 9
10
class 10
11
slc
12
intermediate/class 12
13
bachelor level
14
master level or higher
15
professional degree
16
literate (levelless)
17
illiterate
98
don't know
{1.14} mother living in home
Does ..[NAME].. 's mother live in this household?
(1.16)
Died [3] -> (1.16)]]>
0
0
1
yes
2
no
3
died
{1.15} id code of mother
COPY THE ID CODE OF THE MOTHER
MOTHER'S ID CODE
-> NEXT PERSON
Mother lives in the household
0
0
{1.16} mother: highest degree completed
What was the highest class that the mother of …[NAME]… completed?
Mother does not live in the household or has died.
0
0
0
pre-school/kindergarden
1
class 1
2
class 2
3
class 3
4
class 4
5
class 5
6
class 6
7
class 7
8
class 8
9
class 9
10
class 10
11
slc
12
intermediate/class 12
13
bachelor level
14
master level or higher
15
professional degree
16
literate (levelless)
17
illiterate
98
don't know
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{2.01} dwelling unit occupied by own hhld only
2A.- ID CODE of RESPONDENT
Is this dwelling unit occupied by your household only?
0
0
1
yes
2
no
{2.02} a) total rooms
How many total rooms does your household occupy?
0
0
{2.02} b) kitchen
How many total rooms does your household occupy?
0
0
{2.02} c) toilet/bathroom
How many total rooms does your household occupy?
0
0
{2.02} d) bedrooms
How many total rooms does your household occupy?
0
0
{2.02} e) living/dining rooms
How many total rooms does your household occupy?
0
0
{2.02} f) business rooms
How many total rooms does your household occupy?
0
0
{2.02} g) mixed used rooms
How many total rooms does your household occupy?
0
0
{2.02} h) other rooms
How many total rooms does your household occupy?
0
0
{2.03} having kitchen garden
Is there a kitchen garden?
0
0
1
yes
2
no
{2.04} material of outside wall
MAIN CONSTRUCTION MATERIAL OF OUTSIDE WALLS
0
0
1
cement bonded bricks/stones
2
mud bonded bricks/stones
3
wood
4
bamboo/leaves
5
unbaked bricks
6
other material
7
no outside walls
{2.05} foundation of dwelling
FOUNDATION OF DWELLING
0
0
1
pillar bonded
2
cement bonded
3
mod bonded
4
wooden pillar
5
other
{2.06} main roofing material
MAIN MATERIAL ROOF IS MADE OF
0
0
1
straw/thatch
2
earth/mud
3
wood/planks
4
galvanized iron
5
concrete/cement
6
tiles/slate
7
other
{2.07} types of window
THE WINDOWS ARE FITTED
Check the first that applies.
0
0
1
no windows/no covering window
2
shutters
3
screens/glass
4
other
{2.08} size of housing plot - unit
unit of the housing plot
0
0
1
ropani
2
bigha
{2.08} size of housing plot - ropani/bigha
How big is the housing plot?
0
0
{2.08} size of housing plot - aana/kattha
How big is the housing plot?
0
0
{2.08} size of housing plot - paisa/dhur
How big is the housing plot?
0
0
{2.09} area inside of the dwelling
How big is the inside of the dwelling? SQUARE FEET
0
0
{2.10} year built
Which year was the house that you are living built? YEAR
According to Nepali Calendar (B.S.)
0
0
{2.11} dwelling owned by you
Is this dwelling yours?
No [2] -> (2.16)
0
0
1
yes
2
no
{2.12} sale value (rs.)
If you wanted to buy a dwelling just like this today, how much money would you have to pay? RUPEES
Include value of housing plot.
Households who own the dwelling they are occupying
0
0
{2.13} rental value (rs.)
If someone wanted to rent this dwelling today, how much money would they have to pay each month? RUPEES
Households who own the dwelling they are occupying
0
0
{2.14} rent part of dwelling
Did you rent out part of this dwelling unit?
No [2] -> PART C
Households who own the dwelling they are occupying
0
0
1
yes
2
no
{2.15} rent received (rs.)
How much do you receive as rent per month? RUPEES
-> PART C
Households who own the dwelling they are occupying and are renting out part of the unit.
0
0
{2.16} present occupancy status
What is your present occupancy status?
(2.18)]]>
Households who do not own the dwelling unit they are occupying.
0
0
1
renter
2
providing free of cost
3
squatting
4
other
{2.17} rental value (rs.)
If someone wanted to rent this dwelling (only the unit occupied by the household) today, how much money would they have to pay each month? RUPEES
-> PART C
Households who do not own the dwelling unit they are occupying.
0
0
{2.18} rent paid (rs.)
What is the rent per month? (cash plus value of in-kind payments) RUPEES
Households who are renting the dwelling unit they are occupying.
0
0
{2.19} source of drinking water
Where does your drinking water come from?
If 2 to 7 -> (2.22)
0
0
1
piped water
2
covered well
3
hand pump/tubewell
4
open well
5
spring water
6
river
7
other source
{2.20} piped water connected to house
Do you have water piped into your house?
Households with piped water supply
0
0
1
yes
2
no
{2.21} water comes hours/week
How many hours per day does your household have tap water? HRS/WEEK
Households with piped water supply
0
0
{2.22} amount paid for water (rs.)
How much did you pay for water over the last 12 months? RUPEES
0
0
{2.23} sanitation system for liquid waste
What type of sanitary system are you connected to for liquid wastes?
0
0
1
underground drain
2
open drains
3
soak pit
4
no
{2.24} garbage disposal method
How does your household dispose of its garbage mainly?
(2.26)
Burned/ buried [4] -> (2.26)
Dumped and used for fertilizer [5] -> (2.26)]]>
0
0
1
collected by garbage truck
2
private collector
3
dumped
4
burned/buried
5
dumped and used for fertilizer
6
other
{2.25} amount paid for garbage (rs.)
How much do you pay for garbage disposal over the last 12 months? RUPEES
Write ZERO if nothing.
0
0
{2.26} type of toilet used
What type of toilet is used by your household?
0
0
1
flush - municipal sewer
2
flush - septic tank
3
non-flush
4
communal latrine
5
no toilet
{2.27} source of light
What is the main source of lighting for your dwelling?
(2.31)
Biogas [3] -> (2.31)
Kerosene [4] -> (2.31)
Other [5] -> (2.31)]]>
0
0
1
electricity
2
solar
3
biogas
4
kerosene
5
other
{2.28} types of meter
Do you have a joint or individual electric meter?
Households whose source of light is electricity.
0
0
1
individual
2
joint
3
no meter
{2.29} amount paid for electricity (rs.)
Write ZERO if nothing.
Households whose source of light is electricity.
0
0
{2.30} hrs/weeks without electricity
In the past 7 days, how many hours (total) did your household NOT have electricity? HRS
Households whose source of light is electricity.
0
0
{2.31} a) having telephone
a) Does your household have a telephone?
If all answers are No -> (2.33).
0
0
1
yes
2
no
{2.31} b) having mobile phone
b) Does your household have a mobile phone ?
If all answers are No -> (2.33).
0
0
1
yes
2
no
{2.31} c) having cable tv
c) Does your household have a cable tv?
If all answers are No -> (2.33).
0
0
1
yes
2
no
{2.31} d) having email/internet
d) Does your household have email/internet?
If all answers are No -> (2.33).
0
0
1
yes
2
no
{2.32} amount paid for facilities (rs)
How much did you pay for using those facilities listed in (2.31) over the last 12 months? RUPEES
0
0
{2.33} main cooking fuel
What kind of fuel is most often used by your household for cooking?
0
0
1
firewood
2
dung
3
leaves/rubbish/straw/thatch
4
cylinder gas
5
kerosene
6
bio-gas
7
other
{2.34} stove for cooking
What type of stove does your household mainly use for cooking?
0
0
1
open fireplace
2
mud fireplace
3
smokeless oven
4
kerosene stove
5
gas stove
6
other
{2.35} use firewood during past 12 months
Did your household use any firewood over the past 12 months?
No [2] -> (2.41)
0
0
1
yes
2
no
{2.36} collect firewood during past 12 months
Did your household collect any firewood in the past 12 months?
No [2] -> (2.41)
0
0
1
yes
2
no
{2.37} avg. no. of firewood collection - unit
How many bharis/carts/kg of firewood did you collect during the past 12 months? UNIT
Households who collected firewood
0
0
1
bhari
2
chart
3
kg
{2.37} avg. no. of firewood collected
How many bharis/carts/kg of firewood did you collect during the past 12 months? NUMBER
Households who collected firewood
0
0
{2.37} 1 bhari/chart equal to kg
Interviewer
INTERVIEWER, COMPLETE:
INTERVIEWER, COMPLETE: 1 BHARI / CART = ? KG
Households who collected firewood
0
0
{2.38} time to collect firewood - hour
How long does it take to collect one bhari/cart/kg of firewood? HOURS
Households who collected firewood
0
0
{2.38} time to collect firewood - minute
How long does it take to collect one bhari/cart/kg of firewood? MINUTES
Households who collected firewood
0
0
{2.39} place of collecting firewood
Where did you mainly collect the firewood?
Own land [1] -> 2.41
Households who collected firewood
0
0
1
own land
2
community managed forest
3
govt. forest
4
other
{2.40} price per unit of firewood
How much did you pay for each bhari/cart/kg? RUPEES
Write ZERO if nothing.
Households who collected firewood in places they do not own
0
0
{2.41} collect fodder
Did you collect fodder for your livestock over the past 12 months?
No [2] -> PART D
0
0
1
yes
2
no
{2.42} place of collecting fodder
Where did you mainly collect the fodder?
0
0
1
own land
2
community managed forest
3
govt. forest
4
other
{2.43} type of salt used for cooking
What type of salt do you use for cooking?
0
0
1
large crystal salt
2
crushed salt
3
packet salt (two child logo)
4
other
{2.44} iodine level in salt used for cooking
Enumerator
INTERVIEWER: USE YOUR SALT TEST KIT TO ASSES THE LEVEL OF IODINE IN SALT USED IN THIS HOUSEHOLD
INTERVIEWER, USE YOUR SALT TEST KIT TO ASSESS THE LEVEL OF IODINE IN LAT USED IN THIS HOUSEHOLD.
0
0
1
0 ppm
2
below 15 ppm
3
15 ppm or more
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{3.00} facility code
FACILITY DESCRIPTION
0
0
101
ECD center
102
Primary School
103
Secondary school
104
Higher Secondary School
105
Health post/Sub-health post
106
Public Hospital/PHC
107
Clinic/Hospital Private
108
Bus Stop
109
Paved Road
110
Dirt Road, vehicle passable
111
Dirt Road, vehicle impassable
112
Local Shop/Shops (shopping centers)
113
Haat Bazaar
114
Market Center
115
Agriclture Center
116
Sajha (Cooperatives)
117
Bank
118
Source of Drinking Water in rainy season
119
Source of Drinking Water in dry season
120
Post Office
121
Telephone Booth
122
Police station
123
Internet access
124
Community library
{3.00} facility description
FACILITY DESCRIPTION
0
0
{3.01} way to travel to the closest facility
How do you OR would you normally travel to the closest ..[FACILITY]..?
(3.04)
No applicable -> NEXT]]>
0
0
1
foot (without load)
2
bicycle, rickshaw
3
motorcycle, tamppo
4
car, bus
5
mixed (foot and vehicle)
6
facility is next to the household
7
not applicable (no facility around)
{3.02} time to go to/days
How long does it take to get from your house to the closest ..[FACILITY]..? ONE WAY ONLY
0
0
{3.02} time to go to/hours
How long does it take to get from your house to the closest ..[FACILITY]..? ONE WAY ONLY
0
0
{3.02} time to go to/minutes
How long does it take to get from your house to the closest ..[FACILITY]..? ONE WAY ONLY
0
0
{3.03} distance to closest facility/kms
How far is the closest ..[FACILITY].. from this household? KM
0
0
{3.03} distance to closest facility/mts
How far is the closest ..[FACILITY].. from this household? METERS
0
0
{3.04} the facility was used past 12 months
Have the members of this household used ..[FACILITY].. during the past 12 months?
No [2] -> NEXT FACILITY
0
0
1
yes
2
no
{3.05} how often used
How often do members of this household use ..[FACILITY].. during the past 12 months?
0
0
1
daily
2
weekly
3
monthly
4
rarely
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
{4.01} respondent id-code
ID CODE OF RESPONDENT
Write ID Code from household roster of person providing this information.
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
{4.02} ever migrated
Has ..[NAME].. always lived in this location since birth?
Yes [1] -> (4.07)
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
1
yes
2
no
{4.03} migrated from - district/country
FIRST IN-MIGRATION TO THIS PLACE
See district codes in Table "A"
v04_02 = 2
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hongkong
86
malaysia
87
japan
88
saudi arabia
89
qatar
90
united arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{4.03} migrated from - urban/rural
FIRST IN-MIGRATION TO THIS PLACE
See district codes in Table "A"
v04_02 = 2
0
0
1
urban
2
rural
{4.04} when move to this place
FIRST IN-MIGRATION TO THIS PLACE
When did ..[NAME].. move to this place? YEAR
v04_02 = 2
0
0
{4.05} reason for migration
FIRST IN-MIGRATION TO THIS PLACE
Why did ..[NAME].. leave the previous place and move to this place?
v04_02 = 2
0
0
1
marriage
2
follow the family
3
other family reason
4
education
5
training
6
looking for work
7
start new job
8
start new business
9
job transfer
10
conflict
11
natural disaster
12
easier life style
13
other
{4.06} primary activity [nsco]
FIRST IN-MIGRATION TO THIS PLACE
What primary activity did ..[NAME].. do when arrived at this place for the first time?
See occupation codes in Table "I"
v04_02 = 2
0
0
11
armed forces
111
legislators
112
government officials
114
officials of special interest organizations
121
directors and chief executives
122
production and operations department managers
123
other department managers
131
general managers/managing proprietors
211
physicists, chemists and related professionals
212
mathematicians, statisticians and related professionals
213
computing professionals
214
architects, engineers and related professionals
221
life science professionals
222
health professionals, except nursing
223
nursing and midwifery professionals
231
college, university and higher education teaching professionals
232
secondary education teaching professionals
233
primary and pre-primary education teaching professionals
234
special education teaching professionals
235
other teaching professionals
241
business professionals
242
legal professionals
243
archivists, librarians and related information professionals
244
social science and related professionals
245
writers and creative or performing artists
246
religious professionals
311
physical and engineering science technicians
312
computer associate professionals
313
optical and electronic equipment operators
314
aircraft controllers and technicians
315
safety and quality inspectors
321
life science technicians and related associate professionals
322
modern health associate professional, except nursing
323
nursing and midwifery associate professionals
324
traditional medicine practitioners and faith healers
331
primary education teaching associate professionals
332
pre-primary education teaching associate professionals
333
special education teaching associate professionals
334
other teaching associate professionals
341
finance and sales associate professionals
342
business services agent and trade brokers
343
administrative associate professionals
344
customs, tax and related government associate professionals
345
police inspectors and detectives
346
social work associate professionals
347
artistic, entertainment and soprts associate professionals
348
religious associate professionals
411
secretaries and keyboard-operating clerks/assistants
412
numerical clerks/office assistants
413
material-recording and transport clerks/office assistants
414
library, mail and related clerks/office assistants
419
other office clerks/assistants
421
cashiers, tellers and related clerks/office assistants
422
client information clerks/office assistants
511
travel attendants and related workers
512
housekeeping and restaurant services workers
513
personal care and related workers
514
other professional services workers
515
astrologers, fortune-tellers and related workers
516
protective service workers
521
fashion and other models
522
shop salespersons and demonstratotrs
523
stall and market salespersons
611
market-oriented gardeners and crop growers
612
market-oriented animal producers and related workers
613
market-oriented crop and animal producers
614
forestry and related workers
615
fishery workers
621
subsistence agricultural and fishery workers
711
miners, shoftirers, stone cutters and carvers
712
building frame and related trades workers
713
building finishers and related trades workers
714
painters, building structure cleaners and related trades workers
721
metal moulders, welders, sheet-metal workers, structural-metal preparer
722
blacksmiths, tool-makers and related trades workers
723
machinery mechanics and fitters
724
electrical and electronic equipment mechanics and fitters
731
precision workers in metal and related materials
732
potters, glass-makers and related trades workers
733
handicraft workers in wood, textile, leather and related materials
734
printing and related trades workers
741
food processing and related trades workers
742
wood treaters, cabinet-makers and related traders workers
743
textile, garment and related trades workers
744
pelt, leather and shoe making trades workers
811
mining and mineral-processing plant operators
812
metal-processing-plant operators
813
glass, ceramics and relative plant operators
814
wood-processing and papermaking-plant operators
815
chemical-processing-plant operators
816
power-production and related plant operators
817
automated-assembly-line and industrial-robot operators
821
metal and mineral products machine operators
822
chemical-products machine operators
823
rubber and plastic products machine operators
824
wood-products machine operators
825
printing, binding and paper products machine operators
826
textile, fur and leather-products machine operators
827
food and related products machine operators
828
assemblers
829
other machine operators and assemblers
831
locomotive-engine drivers and related workers
832
motor vehicle drivers
833
agricultural and other mobile-plant operators
911
street vendors and related workers
912
shoe cleaning and other street services elementary occupations
913
domestic and related helpers, cleaners and launderers
914
building caretakers, windows and related cleaners
915
messengers, porters, doorkeepers and related workers
916
garbage collectors and related labourers
921
agricultural, fishery and related labourers
931
mining and construction labourers
932
manufacturing labourers
933
transport labourers and freight handlers
996
household work
997
student
998
not working
999
not reported
{4.07} live outside more than 2 cont. month
Has ..[NAME].. lived outside this location for more than 2 continuous months over the past 5 years?
No [2] -> NEXT PERSON
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
1
yes
2
no
{4.08} no. of times lived outside
OUT-MIGRATION OVER THE PAST 5 YEARS
How many times has ..[NAME].. lived outside this location for more than 2 continuous months over the past 5 years? N OF TIMES
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
{4.09} last time left to live outside, year
OUT-MIGRATION OVER THE PAST 5 YEARS
When was the last time ..[NAME].. left to live outside this location for a period of 2 continuous months or more? YEAR (B.S.)
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
{4.09} last time left to live outside, month
OUT-MIGRATION OVER THE PAST 5 YEARS
When was the last time ..[NAME].. left to live outside this location for a period of 2 continuous months or more? MONTH (B.S.)
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
{4.10} last time came back, year
OUT-MIGRATION OVER THE PAST 5 YEARS
When was the last time ..[NAME].. came back to this household after living outside for a period of 2 continuous months or more? YEAR (B.S.)
If still away, write "98" in month and year.
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
98
still away
{4.10} last time came back, month
OUT-MIGRATION OVER THE PAST 5 YEARS
When was the last time ..[NAME].. came back to this household after living outside for a period of 2 continuous months or more? MONTH (B.S.)
If still away, write "98" in month and year.
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
98
still away
{4.11} previous place of stay - district/country
OUT-MIGRATION OVER THE PAST 5 YEARS
Where was the place where ..[NAME].. lived this last time? DISTRICT /COUNTRY
See district codes in Table "A"
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hongkong
86
malaysia
87
japan
88
saudi arabia
89
qatar
90
united arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{4.11} previous place of stay - urban/rural
OUT-MIGRATION OVER THE PAST 5 YEARS
Was it an urban or rural area?
See district codes in Table "A"
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
1
urban
2
rural
OUT-MIGRATION OVER THE PAST 5 YEARS
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
{4.12} reason for migration
OUT-MIGRATION OVER THE PAST 5 YEARS
What was the main reason for ..[NAME].. to go to that place? LAST TIME
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
1
marriage
2
follow the family
3
other family reason
4
education
5
training
6
looking for work
7
start new job
8
start new business
9
job transfer
10
conflict
11
natural disaster
12
easier life style
13
other
{4.13} primary activity [nsco] before leaving
OUT-MIGRATION OVER THE PAST 5 YEARS
What primary activity did …[NAME]… do just before leaving this household last time?
See occupation codes in Table "I"
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
11
armed forces
111
legislators
112
government officials
114
officials of special interest organizations
121
directors and chief executives
122
production and operations department managers
123
other department managers
131
general managers/managing proprietors
211
physicists, chemists and related professionals
212
mathematicians, statisticians and related professionals
213
computing professionals
214
architects, engineers and related professionals
221
life science professionals
222
health professionals, except nursing
223
nursing and midwifery professionals
231
college, university and higher education teaching professionals
232
secondary education teaching professionals
233
primary and pre-primary education teaching professionals
234
special education teaching professionals
235
other teaching professionals
241
business professionals
242
legal professionals
243
archivists, librarians and related information professionals
244
social science and related professionals
245
writers and creative or performing artists
246
religious professionals
311
physical and engineering science technicians
312
computer associate professionals
313
optical and electronic equipment operators
314
aircraft controllers and technicians
315
safety and quality inspectors
321
life science technicians and related associate professionals
322
modern health associate professional, except nursing
323
nursing and midwifery associate professionals
324
traditional medicine practitioners and faith healers
331
primary education teaching associate professionals
332
pre-primary education teaching associate professionals
333
special education teaching associate professionals
334
other teaching associate professionals
341
finance and sales associate professionals
342
business services agent and trade brokers
343
administrative associate professionals
344
customs, tax and related government associate professionals
345
police inspectors and detectives
346
social work associate professionals
347
artistic, entertainment and soprts associate professionals
348
religious associate professionals
411
secretaries and keyboard-operating clerks/assistants
412
numerical clerks/office assistants
413
material-recording and transport clerks/office assistants
414
library, mail and related clerks/office assistants
419
other office clerks/assistants
421
cashiers, tellers and related clerks/office assistants
422
client information clerks/office assistants
511
travel attendants and related workers
512
housekeeping and restaurant services workers
513
personal care and related workers
514
other professional services workers
515
astrologers, fortune-tellers and related workers
516
protective service workers
521
fashion and other models
522
shop salespersons and demonstratotrs
523
stall and market salespersons
611
market-oriented gardeners and crop growers
612
market-oriented animal producers and related workers
613
market-oriented crop and animal producers
614
forestry and related workers
615
fishery workers
621
subsistence agricultural and fishery workers
711
miners, shoftirers, stone cutters and carvers
712
building frame and related trades workers
713
building finishers and related trades workers
714
painters, building structure cleaners and related trades workers
721
metal moulders, welders, sheet-metal workers, structural-metal preparer
722
blacksmiths, tool-makers and related trades workers
723
machinery mechanics and fitters
724
electrical and electronic equipment mechanics and fitters
731
precision workers in metal and related materials
732
potters, glass-makers and related trades workers
733
handicraft workers in wood, textile, leather and related materials
734
printing and related trades workers
741
food processing and related trades workers
742
wood treaters, cabinet-makers and related traders workers
743
textile, garment and related trades workers
744
pelt, leather and shoe making trades workers
811
mining and mineral-processing plant operators
812
metal-processing-plant operators
813
glass, ceramics and relative plant operators
814
wood-processing and papermaking-plant operators
815
chemical-processing-plant operators
816
power-production and related plant operators
817
automated-assembly-line and industrial-robot operators
821
metal and mineral products machine operators
822
chemical-products machine operators
823
rubber and plastic products machine operators
824
wood-products machine operators
825
printing, binding and paper products machine operators
826
textile, fur and leather-products machine operators
827
food and related products machine operators
828
assemblers
829
other machine operators and assemblers
831
locomotive-engine drivers and related workers
832
motor vehicle drivers
833
agricultural and other mobile-plant operators
911
street vendors and related workers
912
shoe cleaning and other street services elementary occupations
913
domestic and related helpers, cleaners and launderers
914
building caretakers, windows and related cleaners
915
messengers, porters, doorkeepers and related workers
916
garbage collectors and related labourers
921
agricultural, fishery and related labourers
931
mining and construction labourers
932
manufacturing labourers
933
transport labourers and freight handlers
996
household work
997
student
998
not working
999
not reported
{4.14} have any job there
OUT-MIGRATION OVER THE PAST 5 YEARS
Did ..[NAME].. do any job there?
No [2] -> (4.18)
ALL HOUSEHOLD MEMBERS 5 YEARS AND OLDER
0
0
1
yes
2
no
{4.15} who help to find job/start business
OUT-MIGRATION OVER THE PAST 5 YEARS
Who helped …[NAME]… to find the last job or to start a business in that place where he/she last moved?
Members who left to work [v04_14 = 1]
0
0
1
relatives
2
friends,neighbours
3
other
4
nobody helped
5
not applicable
{4.16} types of work done
OUT-MIGRATION OVER THE PAST 5 YEARS
What type of work did ..[NAME].. when he/she arrived to that last place?
Members who left to work [v04_14 = 1]
0
0
1
wage job
2
self employment
{4.17} primary activity [nsco] there
OUT-MIGRATION OVER THE PAST 5 YEARS
What primary activity did ..[NAME].. when arrived to that last place?
See occupation codes in Table "I"
Members who left to work [v04_14 = 1]
0
0
11
armed forces
111
legislators
112
government officials
114
officials of special interest organizations
121
directors and chief executives
122
production and operations department managers
123
other department managers
131
general managers/managing proprietors
211
physicists, chemists and related professionals
212
mathematicians, statisticians and related professionals
213
computing professionals
214
architects, engineers and related professionals
221
life science professionals
222
health professionals, except nursing
223
nursing and midwifery professionals
231
college, university and higher education teaching professionals
232
secondary education teaching professionals
233
primary and pre-primary education teaching professionals
234
special education teaching professionals
235
other teaching professionals
241
business professionals
242
legal professionals
243
archivists, librarians and related information professionals
244
social science and related professionals
245
writers and creative or performing artists
246
religious professionals
311
physical and engineering science technicians
312
computer associate professionals
313
optical and electronic equipment operators
314
aircraft controllers and technicians
315
safety and quality inspectors
321
life science technicians and related associate professionals
322
modern health associate professional, except nursing
323
nursing and midwifery associate professionals
324
traditional medicine practitioners and faith healers
331
primary education teaching associate professionals
332
pre-primary education teaching associate professionals
333
special education teaching associate professionals
334
other teaching associate professionals
341
finance and sales associate professionals
342
business services agent and trade brokers
343
administrative associate professionals
344
customs, tax and related government associate professionals
345
police inspectors and detectives
346
social work associate professionals
347
artistic, entertainment and soprts associate professionals
348
religious associate professionals
411
secretaries and keyboard-operating clerks/assistants
412
numerical clerks/office assistants
413
material-recording and transport clerks/office assistants
414
library, mail and related clerks/office assistants
419
other office clerks/assistants
421
cashiers, tellers and related clerks/office assistants
422
client information clerks/office assistants
511
travel attendants and related workers
512
housekeeping and restaurant services workers
513
personal care and related workers
514
other professional services workers
515
astrologers, fortune-tellers and related workers
516
protective service workers
521
fashion and other models
522
shop salespersons and demonstratotrs
523
stall and market salespersons
611
market-oriented gardeners and crop growers
612
market-oriented animal producers and related workers
613
market-oriented crop and animal producers
614
forestry and related workers
615
fishery workers
621
subsistence agricultural and fishery workers
711
miners, shoftirers, stone cutters and carvers
712
building frame and related trades workers
713
building finishers and related trades workers
714
painters, building structure cleaners and related trades workers
721
metal moulders, welders, sheet-metal workers, structural-metal preparer
722
blacksmiths, tool-makers and related trades workers
723
machinery mechanics and fitters
724
electrical and electronic equipment mechanics and fitters
731
precision workers in metal and related materials
732
potters, glass-makers and related trades workers
733
handicraft workers in wood, textile, leather and related materials
734
printing and related trades workers
741
food processing and related trades workers
742
wood treaters, cabinet-makers and related traders workers
743
textile, garment and related trades workers
744
pelt, leather and shoe making trades workers
811
mining and mineral-processing plant operators
812
metal-processing-plant operators
813
glass, ceramics and relative plant operators
814
wood-processing and papermaking-plant operators
815
chemical-processing-plant operators
816
power-production and related plant operators
817
automated-assembly-line and industrial-robot operators
821
metal and mineral products machine operators
822
chemical-products machine operators
823
rubber and plastic products machine operators
824
wood-products machine operators
825
printing, binding and paper products machine operators
826
textile, fur and leather-products machine operators
827
food and related products machine operators
828
assemblers
829
other machine operators and assemblers
831
locomotive-engine drivers and related workers
832
motor vehicle drivers
833
agricultural and other mobile-plant operators
911
street vendors and related workers
912
shoe cleaning and other street services elementary occupations
913
domestic and related helpers, cleaners and launderers
914
building caretakers, windows and related cleaners
915
messengers, porters, doorkeepers and related workers
916
garbage collectors and related labourers
921
agricultural, fishery and related labourers
931
mining and construction labourers
932
manufacturing labourers
933
transport labourers and freight handlers
996
household work
997
student
998
not working
999
not reported
{4.18} main reason to come back
OUT-MIGRATION OVER THE PAST 5 YEARS
What was the main reason why ..[NAME].. came back to this household last time?
If not come back yet, write "99"
Members who left to work [v04_14 = 1]
0
0
1
family reasons
2
work finished
3
dissatisfied with work
4
start new job
5
start new business
6
job transfer
7
conflict
8
natural disaster
9
easier life style
10
other
99
not returned
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
food item code
Food Code
0
0
11
fine rice
12
coarse rice
13
beaten, flattened rice
14
maize
15
maize flour
16
wheat flour
17
millet
18
other grains/cereals (buc
21
black gram (mas)
22
lentil (musuro)
23
red gram
24
horse gram (chana)
25
other pulses (green gram,
26
beans
27
other beans
31
eggs
32
milk
33
condensed milk
34
baby milk/powder milk
35
curd/whey
36
other milk products (chee
41
ghee
42
vegetable ghee/oil
43
mustard oil
44
other oil (soya, sunflowe
51
potatoes
52
onions
53
cauliflower/cabbage
54
tomatoes
55
green leafy vegetables
56
pointed gourd
57
bitter gourd
58
other vegetables
59
colocassia
61
bananas
62
citrus fruits (oranges, l
63
mangoes
64
apples
65
pineapple
66
papaya
67
other fruits (grape, pome
68
dried fruits (walnut, coc
71
fish
72
mutton
73
buffalo meat
74
chicken
75
other meats (pig, boar, d
81
salt
82
cumin seed/black pepper
83
turmeric
84
ginger/garlic
85
chilies
86
other spices and condimen
90
91
sugar
92
gur (sakhar)
93
sweets (mithai)
94
other sweets (sugar candy
101
tea (dried leaves)
102
coffee (ground, instant)
103
fruit juices/carbonated d
104
other non-alcoholic drink
111
wine
112
gin, whiskey
113
beer/jandh
114
other alcoholic drinks (t
121
cigarettes
122
bidis
123
tobacco
124
other (jarda, khaini, bet
131
meals taken outside home
132
bread/ biscuit / noodles
133
misc. other food expendit
990
estimated total
Estimated Total
food item name
Item Description
0
0
{05.01} food consumed
Have you consumed ..[FOOD].. during the past 12 months?
0
0
1
yes
2
no
{05.02} home-prod-12-mo/number of months
PART A: TYPICAL MONTH : HOME PRODUCTION
How many months in the past 12 months did you consume ..[FOOD].. that you grew or produced yourself?
If none, write ZERO and -> (5.05)
0
0
{05.03} a: home-prod-12-mo/quantity
PART A: TYPICAL MONTH : HOME PRODUCTION
In a typical monthduring which you ate ..[FOOD].., how much did your household consume ..[FOOD]..? QUANTITY
v05_02 = 1
0
0
{05.03} b: home-prod-12-mo/measurement unit
PART A: TYPICAL MONTH : HOME PRODUCTION
See quantity codes in Table "F".
v05_02 = 1
0
0
1
kg
2
gram
3
maund
4
liter
5
muri
6
pathi
7
manna
8
kuruwa
9
piece
10
dozen
11
quintal
{05.04} home-prod-12-mo/value
PART A: TYPICAL MONTH : HOME PRODUCTION
How much would your household have to spend in the market to buy this quantity of ..[FOOD].. (i.e. the amount consumed in a typical month)? VALUE IN RUPEES
v05_02 = 1
0
0
{05.05} purchases-12-mo/number of months
PART A: TYPICAL MONTH : FOOD PURCHASES FOR HH CONSUMPTION
How many months in the past 12 months did you purchase ..[FOOD].. ? NO OF MONTHS
If none, write ZERO and -> (5.08)
0
0
{05.06} a: purchases-12-mo/quantity
PART A: TYPICAL MONTH : FOOD PURCHASES FOR HH CONSUMPTION
v05_05 = 1
0
0
{05.06} b: purchases-12-mo/measurement unit
PART A: TYPICAL MONTH : FOOD PURCHASES FOR HH CONSUMPTION
In a typical month during which you purchased ..[FOOD]. how much did you purchase? MEASUREMENT UNIT
See quantity codes in Table "F".
v05_05 = 1
0
0
1
kg
2
gram
3
maund
4
liter
5
muri
6
pathi
7
manna
8
kuruwa
9
piece
10
dozen
11
quintal
{05.07} purchases-12-mo/value
PART A: TYPICAL MONTH : FOOD PURCHASES FOR HH CONSUMPTION
How much would you normally have to spend in total to buy this quantity? VALUE IN RUPEES
v05_05 = 1
0
0
{05.08} in-kind-12-mo/value
PART A: TYPICAL MONTH: IN-KIND
If none, write ZERO.
0
0
{05.09} consumed-7-days/number of days
ASK (5.09) FOR ALL ITEMS FIRST
How many days has the household consumed ..[FOOD].. during the past 7 days?
IF none, write ZERO and -> NEXT
0
0
{05.10} a: consumed-7-days/quantity
How much ..[FOOD].. did your household consume during the past 7 days? QUANTITY
0
0
{05.10} b: consumed-7-days/measurement unit
How much ..[FOOD].. did your household consume during the past 7 days? MEASUREMENT UNIT
See quantity codes in Table "F".
0
0
1
kg
2
gram
3
maund
4
liter
5
muri
6
pathi
7
manna
8
kuruwa
9
piece
10
dozen
11
quintal
{05.11} consumed-7-days/value
What is the value of this quantity of ..[FOOD].. consumed during the past 7 days? VALUE IN RUPEES
0
0
{05.12} consumed-7-days/source
MAIN SOURCE
0
0
1
home production
2
purchase
3
in-kind
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
frq. non-food item code
Part A: Frequent non-food expenditures
Item Description
0
0
211
wood (bundle wood, logwood, etc.
212
kerosene oil
213
coal, charcoal
214
cylinder gas (lpg)
215
matches, candles, lighter
221
ready-made clothing and apparel
222
cloth, wool, yarn
223
tailoring expenses
224
footwear (shoes, slippers,etc.)
225
toilet soap
226
toothpaste, tooth powder
227
other personal care items
228
dry cleaning and washing
229
personal services (haircut,shoe polish, etc.)
231
public transportation (bus, taxi fare, etc.)
232
petrol, diesel, motor oil
233
entertainment (cinema, cd rent, etc.)
234
newspapers, books, stationery (except expenditure on education)
235
pocket money to children
236
educational and professional service
237
modern medicines and healing
238
traditional medicines and healthcare services
239
wages paid to watchman, servant, driver, etc.
241
light bulbs, shades, battery
242
household cleaning articles
260
estimated total
frq. non-food item
Part A: Frequent non-food expenditures
0
0
{6.01} consumed (yes/no)
Part A: Frequent non-food expenditures
(6.01) Were any of the following items purchased or received in-kind over the past 12 months?
Put a tick in the appropriate box for all items. If the answer is YES, ask Q (6.02).
0
0
1
yes
2
no
{6.02} amount of past 30 days (rs.)
Part A: Frequent non-food expenditures
(6.02a) What is the money value of the amount purchased or received in-kind by your household ? DURING THE PAST 30 DAYS
0
0
{6.02} amount of past 12 months (rs.)
Part A: Frequent non-food expenditures
(6.02b) What is the money value of the amount purchased or received in-kind by your household ? DURING THE PAST 12 MONTHS
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
infrq. non-food item code
Part B: Infrequent non-food expenditures
Item Description
0
0
311
legal expenses and insurances
312
income taxes, land taxes,etc.
313
repair and other expenses
314
postal expenses, telegram, etc.
315
excursion, holiday, (including transportation and accomodation)
316
toys, sports goods
317
repair and maintenance of house
318
repair and servicing of household appliances
319
home improvements and additional construction
321
marriages, births, and other
322
dowry & bride price given
323
dowry & bride price received
324
funeral and death related expenses
325
expenditure on religious activities
326
charity
327
cash losses
328
gifts and donations
411
crockery, cutlery and kitchen utensils
412
kitchen appliances
413
pillows, mattresses, blankets
414
jewelry, watches
415
furniture and fixtures
416
electric fans
417
heaters (electric, gas, kerosene)
418
sewing machine
419
iron (electric or other)
421
television/vcr
422
washing machine
423
cassette recorder or play
424
camera, camcorder, etc.
425
bicycle
426
motorcycle
427
motor car or other such vehicles
428
other durable goods (eg. bull cart)
429
pressure lamps, petromax
431
telephone sets, cordless/mobile sets
432
computer, printer
infrq. non-food item
Part B: Infrequent non-food expenditures
infrq. non-food item
0
0
Part B: Infrequent non-food expenditures
Were any of the following items purchased or received in-kind over the past 12 months?
Put a tick in the appropriate box for all items. If the answer is YES, ask Q 6.04.
0
0
1
yes
2
no
Part B: Infrequent non-food expenditures
What is the money value of the amount purchased or received in-kind by your household during the past 12 months ? VALUE IN RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
durable goods code
Part C: Inventory of durable goods
Item Description
0
0
501
radio/cassette/cd player
502
camera (still/movie)
503
bicycle
504
motorcycle/scooter
505
motor car, etc.
506
refrigerator or freezer
507
washing machine
508
fans
509
heaters
510
television/vcr/vcd player
511
pressure lamps / petromax
512
telephone sets / cordless
513
sewing machine
514
furniture, rugs, clocks
515
kitchen utensils
516
jewelry (including watche
517
computer/printer
durable goods item
Part C: Inventory of durable goods
durable goods item
0
0
{6.05} having durable goods (yes/no)
Part C: Inventory of durable goods
(6.05) Does your household own any of the following items?
Put a tick in the appropriate box for all items. If the answer is yes, ask Q. (6.06) to (6.10).
0
0
1
yes
2
no
{6.06} no. of durable goods having now
Part C: Inventory of durable goods
(6.06) How many ..[ITEM].. does your household own?
If more than one item owned, ask about most recently acquired item.
0
0
{6.07} years before acquired
Part C: Inventory of durable goods
(6.07) How many years ago did you acquire ..[ITEM]..?
If more than one item owned, ask about most recently acquired item.
0
0
{6.08} how received
Part C: Inventory of durable goods
(6.08) Did you purchase it, receive it as a gift or payment for services, or receive it as dowry or inheritance?
If more than one item owned, ask about most recently acquired item.
0
0
1
purchased
2
gift/payment
3
dowry/inheritance
{6.09} price at that period
Part C: Inventory of durable goods
(6.09) How much was it worth when you acquired it?
If more than one item owned, ask about most recently acquired item.
0
0
{6.10} current sale value
Part C: Inventory of durable goods
(6.10) if you wanted to sell this ..[ITEM].. today, how much money would you receive for it?
If more than one item owned, ask about total value of all items.
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
own account prod. goods code
Self Produced and Consumed Items (CODE)
0
0
601
dalo, nanglo, doko, namlo
602
mandro, mat, sukul, bhaka
603
radi, pakhi, homespun clothes
604
firewood/dung collection
605
furniture and allied wood
606
sickle, chulesi, knife, etc.
607
tailoring
608
shoe making/repairing
609
water fetching
610
minor house repairing
611
biogas
612
pickle, gundruk, masyaura
613
other (communal construction, duna, tapari, etc.)
own account prod. goods item
Self Produced and Consumed Items
0
0
{6.11} produced (yes/no)
Were any of the following items produced and consumed by your household over the past 12 months?
Put a tick in the appropriate box for all items. If the answer is yea, ask Q. (6.12).
0
0
1
yes
2
no
{6.12} amount of past 30 days (rs.)
What is the monetary value in the local market of the items produced and consumed yourself during the past 30 days?
0
0
{6.12} amount of past 12 months (rs.)
What is the monetary value in the local market of the items produced and consumed yourself during the past 12 months?
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
0
0
{7.01} respondent id-code
ID CODE OF RESPONDENT
Write ID CODE from household roster of person providing this informaiton.
All preson 3 years and older
0
0
{7.02} can read a letter
Can ..[NAME].. read a letter?
No [2] -> (7.05)
All preson 3 years and older
0
0
1
yes
2
no
{7.03} can write a letter
Can ..[NAME].. write a letter?
No [2] -> (7.05)
All preson 3 years and older
0
0
1
yes
2
no
{7.04} where did person learn
Where did ..[NAME].. learn to read and write?
All preson 3 years and older
0
0
1
formal schooling
2
taught at home
3
govt. literacy course
4
ngo literacy course
5
other
{7.05} ever been refused admission
Has ..[NAME].. ever been refused admission in any school, upto grades 8?
No [2] -> (7.08)
All preson 3 years and older
0
0
1
yes
2
no
{7.06} reason for refusal of admission
What was the main reason that ..[NAME].. was refused admission?
All preson 3 years and older
0
0
1
poor academic
2
couldn't pay
3
caste/ethnicity
4
religion
5
others
{7.07} types of school/college refused
What type of school / college did refuse ..[NAME]..?
All preson 3 years and older
0
0
1
community/government
2
institutional/private
3
gurukul/madarsha/gumba
4
other
{7.08} educational background
Ask each person about their educational background and code their education background as follows:
PART B
Currently attending School/ College/ Pre-school [3] -> PART C]]>
All preson 3 years and older
0
0
1
never attended school
2
attended school/college in past
3
currently attending school/college
{7.09} reason for never attending school
Why didn't ..[NAME].. ever attend school?
-> NEXT PERSON
All preson 3 years and older
0
0
1
too young
2
too expensive
3
too far away
4
had to help at home
5
education not useful
6
parents did not want
7
not willing to attend
8
disable
9
not allowed admission
10
other reasons
0
0
{7.10} type of school/college
What type of school/ college did ..[NAME].. last attend?
Persons who have attended School/ College in the past
0
0
1
community/government
2
institutional/private
3
technical/vocational
4
gurukul/madarsha/gumba
5
community (public) campus
6
private campus
7
constituent campus
8
other
{7.11} highest level completed
What was the highest class at ..[NAME].. completed?
Education codes in Table "E"
Persons who have attended School/ College in the past
0
0
0
nursery/kg/pre-school
1
class 01
2
class 02
3
class 03
4
class 04
5
class 05
6
class 06
7
class 07
8
class 08
9
class 09
10
class 10
11
slc
12
intermediate
13
bachelor
14
master
15
profesional degree
16
levelless
{7.12} years to complete primary level (1-5)
How many years did it take ..[NAME].. to complete primary education (class 5) excluding time spent in ECD/ Pre-school?
(7.14)]]>
Persons who have attended School/ College in the past
0
0
98
complete without attending school
{7.13} years to complete class 10
INTERVIEWER: ASK THESE QUESTIONS TO PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
How many years did it take ..[NAME].. to complete class 10? N YEARS
Persons who have attended School/ College in the past
0
0
{7.13} no. of times the slc exam was given
INTERVIEWER: ASK THESE QUESTIONS TO PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
How many times did ..[NAME].. appear for SLC examinations? N TIMES
Persons who have attended School/ College in the past
0
0
{7.14} age when left school
INTERVIEWER: ASK THESE QUESTIONS TO PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
How old was ..[NAME].. when he/she left school? AGE IN YEARS
Persons who have attended School/ College in the past
0
0
{7.15} last level before leaving school
INTERVIEWER: ASK THESE QUESTIONS TO PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
What class was ..[NAME].. last attending before leaving the school?
Education codes in Table "E"
Persons who have attended School/ College in the past
0
0
0
nursery/kg/pre-school
1
class 01
2
class 02
3
class 03
4
class 04
5
class 05
6
class 06
7
class 07
8
class 08
9
class 09
10
class 10
11
slc
12
intermediate
13
bachelor
14
master
15
profesional degree
16
levelless
{7.16} reason for leaving school
Why did ..[NAME].. leave school/ college?
Persons who have attended School/ College in the past
0
0
1
further schooling not available
2
too expensive
3
too far away
4
had to help at home
5
parents did not want
6
completed desired schooling
7
marriage
8
moved away
9
poor academic progress
10
started working/got a job
11
lack of toilet facility
12
language problem
13
not allowed admission
14
mistreatment at school
15
other reasons
0
0
{7.17} type of school/college
What type of school/ college is ..[NAME].. currently attending?
Persons currently attending School/ College or Pre-school
0
0
1
community/government
2
institutional/private
3
technical/vocational
4
gurukul/madarsha/gumba
5
community (public) campus
6
private campus
7
constituent campus
8
other
{7.18} class currently attending
What class is ..[NAME].. currently attending?
Education codes in Table "E"
Persons currently attending School/ College or Pre-school
0
0
0
nursery/kg/pre-school
1
class 01
2
class 02
3
class 03
4
class 04
5
class 05
6
class 06
7
class 07
8
class 08
9
class 09
10
class 10
11
slc
12
intermediate
13
bachelor
14
master
15
profesional degree
{7.19} no. days attending school
Interviewer: Ask only of those persons currently attending school/college
INTERVIEWER: ASK ONLY OF THOSE PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
Persons currently attending School/ College or Pre-school
0
0
{7.20} no. of days supposed to go school
Interviewer: Ask only of those persons currently attending school/college
How many days was ..[NAME]..supposed to go to school during the past 7 days? NUMBER OF DAYS
INTERVIEWER: ASK ONLY OF THOSE PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
Persons currently attending School/ College or Pre-school
0
0
{7.21} reason for absenting from school
If (7.19) is different than (7.20) then ask:
Why was ..[NAME].. absent from school some days?
INTERVIEWER: ASK ONLY OF THOSE PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
Persons currently attending School/ College or Pre-school
0
0
1
illness/injury
2
had to help with hhld chores
3
had to work
4
family members sick or died
5
family function
6
quit school
7
others
{7.22} mode of transport
How do ..[NAME].. go to school/ college?
Persons currently attending School/ College or Pre-school
0
0
1
walk
2
bus/motor
3
bicycle/rickshaw
4
mixed (walk+vehicle)
5
other
{7.23} time taken: hrs
How much time does ..[NAME].. spend commuting everyday? GOING TO AND RETURNING HOME - HRS
Persons currently attending School/ College or Pre-school
0
0
{7.23} time taken: minutes
How much time does ..[NAME].. spend commuting everyday? GOING TO AND RETURNING HOME - MINS
Persons currently attending School/ College or Pre-school
0
0
{7.24} private tuition
Interviewer: Ask only of those persons currently attending school/college
In the past 12 months, did ..[NAME].. take any private tuition classes?
NO [2] -> (7.26)
INTERVIEWER: ASK ONLY OF THOSE PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
Persons currently attending School/ College or Pre-school
0
0
1
yes
2
no
{7.25} private tuition teacher from own school
Interviewer: Ask only of those persons currently attending school/college
Was the private tuition ..[NAME].. received from a teacher in own school?
INTERVIEWER: ASK ONLY OF THOSE PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
v07_24 = 1
0
0
1
yes
2
no
Interviewer: Ask only of those persons currently attending school/college
INTERVIEWER: ASK ONLY OF THOSE PERSONS WHO HAVE ATTENDED SCHOOL/COLLEGE IN THE PAST
0
0
{7.26a} expenditure on : monthly tuition fee (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.26b} expenditure on : on other fee (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.26c} expenditure on : on uniform (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.26d} expenditure on : on textbook/supplies (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.26e} expenditure on : on transportation (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.26f} expenditure on : on private tuition (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.26g} expenditure on : on others (rs)
Interviewer: Ask only of those persons currently attending school/college
How much has your household spent during the past 12 months for ..[NAME's].. schooling? RUPEES
If nothing was spent, write ZERO.
Persons currently attending school/ college
0
0
{7.27} receive scholarship?
Did ..[NAME].. receive a scholarship to help pay for your education expenses?
No [2] -> (7.31)
Persons currently attending school/ college
0
0
1
yes
2
no
How much did ..[NAME].. receive over the past 12 months? RUPEES
v07_27 = 1
0
0
{7.29} form of scholarship
Interviewer: Ask only of those persons currently attending school/college
What is the major form of the scholarship?
v07_27 = 1
0
0
1
tuition / fees
2
uniforms/books
3
hostel
4
other
{7.30} type of scholarship
Interviewer: Ask only of those persons currently attending school/college
What is the type of the scholarship?
v07_27 = 1
0
0
1
poor and talented
2
girls
3
dalits
4
conflict affected
5
disabled
6
hiv/aids
7
karnali zone
8
other
{7.31} class attending in last academic year
Interviewer: Ask only of those persons currently attending school/college
What class was ..[NAME].. attending in the last academic year?
If not applicable write "98".
Persons currently attending school/ college
0
0
0
nursery/kg/pre-school
1
class 01
2
class 02
3
class 03
4
class 04
5
class 05
6
class 06
7
class 07
8
class 08
9
class 09
10
class 10
11
slc
12
intermediate
13
bachelor
14
master
15
profesional degree
98
did not attend last year
{7.32} years to complete pri. level excl. ecd
Interviewer: Ask only of those persons currently attending school/college
How many years did it take ..[NAME].. to complete primary education (class 5) excluding time spend in ECD/Pre-school?
NEXT PERSON]]>
Persons currently attending school/ college
0
0
98
complete primary level without attending school
{7.33} years to completing class 10
Interviewer: Ask only of those persons currently attending school/college
How many years did it take ..[NAME].. to complete class 10? N YEARS
Persons currently attending school/ college
0
0
{7.33} times the slc exam was given
Interviewer: Ask only of those persons currently attending school/college
How many times did ..[NAME].. appear for SLC examinations? TIMES
Persons currently attending school/ college
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
0
0
{8.01} respondent id-code
ID CODE of Respondent
Write ID Code from household roster of person providing this information.
0
0
{8.02} type of disability
Do you suffer from any of the following disabilities?
None [8] -> (8.04)
0
0
1
physical
2
visual
3
hearing
4
visual and hearing
5
speech
6
mental
7
multiple
8
none
{8.03} years suffered from disability
For how long have you suffered from this disability?
Write "98" if since by birth.
0
0
98
by birth
{8.04} suffer from chronic illness
Chronic Illness
Does ..[NAME].. suffer from a chronic illness?
No [2] -> (8.10)
0
0
1
yes
2
no
{8.05} primary chronic illness
Chronic Illness
What chronic illness do .[NAME].. primarily suffer from?
Household members suffering from a chronic illness
0
0
1
heart related
2
respiratory
3
asthma
4
epilepsy
5
cancer
6
diabetes
7
kidney/liver deseases
8
rheumatism related
9
gynecological problems
10
occupational illnesses
11
high/low blood pressure
12
gastrointestinal deseases
13
other
{8.06} years of illness start
Chronic Illness
How many years ago di the illness start?
Household members suffering from a chronic illness
0
0
Chronic Illness
Include cost of consultations, diagnosis, medicines and travel
Household members suffering from a chronic illness
0
0
{8.07} amount spent: other expenses (rs)
Chronic Illness
How much has ..[NAME].. spent in the past 12 months on the treatment of this illness in other expenses such as consultations, diagnosis, transport, etc.?
Include cost of consultations, diagnosis, medicines and travel
Household members suffering from a chronic illness
0
0
{8.08} received in-kind medication
Chronic Illness
Has ..[NAME].. received any in-kind medication for the treatment of this illness during the past 12 months?
Household members suffering from a chronic illness
0
0
1
yes
2
no
{8.09} days of work missed
Chronic Illness
How many days did ..[NAME].. has to stop doing his/her usual activity due to this illness during the past 12 months? NB OF DAYS
Household members suffering from a chronic illness
0
0
What is the present health status of ..[NAME]..?
0
0
1
excellent
2
good
3
fair
4
poor
0
0
{8.11} any health problem & injured
Has ..[NAME].. had any health problem or has been injured during the past 30 days, for example diarrhoea, respiratory problems, fever, burned, etc.?
No [2] -> (8.25)
0
0
1
yes
2
no
{8.12} types of illness or injury
What type of illness or injury?
Household members who have been injured in the last 30 days
0
0
1
diarrhoea
2
dysentry
3
respiratory problems
4
malaria
5
cold/fever/flu
6
other fever
7
skin disease
8
tb
9
measles
10
jaundice
11
parasites
12
injury
13
dental problems
14
other
{8.13} consult with anyone
Was anyone consulted (e.g. a doctor, nurse, pharmacist or other healer) for the illness or injury in the last month?
Yes [1] -> (8.15)
Household members who have been injured in the last 30 days
0
0
1
yes
2
no
{8.14} main reason for not consulting
What is the main reason why ..[NAME].. didn't consult anybody?
-> (8.18)
Household members who have been injured in the last 30 days
0
0
1
illness/injury not serious
2
health facilty too far
3
no transport facility
4
health care too expensive
5
transport too expensive
6
7
health workers not present
8
health care not good quality
9
other
{8.15} place of last consultation
Where did ..[NAME].. go for the last consultation?
Household members who have been injured in the last 30 days and consulted
0
0
1
govt/shp
2
govt/hp
3
govt/phc
4
govt/hospital
5
govt/mobile clinic
6
govt/ayurved centre
7
priv/pharmacy
8
priv/clinic
9
priv/hospital
10
priv/health worker's home
11
other
{8.16} consulted with
Whom did ..[NAME].. consult with?
Household members who have been injured in the last 30 days and consulted
0
0
1
govt. doctor
2
govt. paramedic
3
govt. kaviraj/vaidya
4
pvt. doctor
5
pvt. pharmacist
6
pvt. paramedic
7
pvt. kaviraj/vaidya
8
9
other
Household members who have been injured in the last 30 days and consulted
0
0
{8.17} cost of consultation: fees (rs)
How much was spent for the past consultation of the injury or illness for service cost (cost of diagnostic service consisting of lab fee and cost of other services consisting of registration fee, consultation fee, surgery fee, etc.), medicine cost and travel cost over the past 30 days?
Household members who have been injured in the last 30 days and consulted
0
0
{8.17} cost of consultation: medicine (rs)
How much was spent for the past consultation of the injury or illness for service cost (cost of diagnostic service consisting of lab fee and cost of other services consisting of registration fee, consultation fee, surgery fee, etc.), medicine cost and travel cost over the past 30 days?
Household members who have been injured in the last 30 days and consulted
0
0
{8.17} cost of consultation: travel (rs)
How much was spent for the past consultation of the injury or illness for service cost (cost of diagnostic service consisting of lab fee and cost of other services consisting of registration fee, consultation fee, surgery fee, etc.), medicine cost and travel cost over the past 30 days?
Household members who have been injured in the last 30 days and consulted
0
0
{8.18} total cost spent (rs)
How much in total was spent over the illness or injury over the past 30 days?
(= A + B + C)
Household members who have been injured in the last 30 days
0
0
{8.19} received in-kind medication
Has ..[NAME].. received any in-kind medication for the treatment of this illness or injury during the past 30 days?
Household members who have been injured in the last 30 days
0
0
1
yes
2
no
{8.20} stopped work
Did ..[NAME].. have to stop doing his/her usual activities because of this illness or injury?
No [2] -> (8.25)
Household members, 5 years old and older, who have been injured in the last 30 days
0
0
1
yes
2
no
{8.21} days of work missed
How many days did ..[NAME].. have to stop doing his/her usual activities?
-> (8.25)
Household members, 5 years old and older, who have been injured in the last 30 days
0
0
{8.22} anything to treat the diarrhoea
Ask only for those with answer "01" to (8.12) and children under 5 years
Did you give ..[NAME].. anything to treat the diarrhoea?
(8.28)]]>
Children in the household under 5 years with diarrhoea
0
0
1
yes
2
no
{8.23} treatment given
What did you give ..[NAME].. to treat the diarrhoea?
(8.28)
Allopathic medicine [2] -> (8.28)
Traditional medicine [3] -> (8.28)
Other [4] -> (8.28)]]>
Children in the household under 5 years with diarrhoea
0
0
1
ors
2
allopathic medicine
3
traditional medicine
4
other
{8.24} obtain the ors from
Where did you obtain the ORS?
Children in the household under 5 years with diarrhoea
0
0
1
shp
2
hp
3
phc
4
hospital
5
mobile clinic
6
made at home
7
non-govt. inst.
8
medicine shop
9
other
0
0
{8.25} heard about hiv/aids
Have you heard about HIV/AIDS?
Next Person
Person not contacted [3] -> Next Person]]>
Household members 10 years and older
0
0
1
yes
2
no
3
person not contacted
{8.26} first media to know about hiv/aids
How did you first hear about HIV/AIDS?
Household members 10 years and older and have heard about HIV/AIDS
0
0
1
radio
2
television
3
newspapers/pamphlets/posters
4
friends/relatives
5
health workers
6
textbook
7
other
{8.27} methods of prevention - first
What can a person do to prevent it?
Household members 10 years and older and have heard about HIV/AIDS
0
0
1
abstain from sex
2
use condoms
3
limit sex to one partner
4
limit number of sexual partners
5
avoid sex with prostitutes
6
avoid sex with persons who have many partners
7
avoid sex with homosexuals
8
avoid sex with persons who inject drugs intravenously
9
avoid blood transfusions
10
avoid injections
11
avoid sharing razors/blades
12
avoid kissing
13
avoid mosquito bites
14
seek protection from traditional practitioner
15
other
16
don't know
{8.27} methods of prevention - second
What can a person do to prevent it?
Household members 10 years and older and have heard about HIV/AIDS
0
0
1
abstain from sex
2
use condoms
3
limit sex to one partner
4
limit number of sexual partners
5
avoid sex with prostitutes
6
avoid sex with persons who have many partners
7
avoid sex with homosexuals
8
avoid sex with persons who inject drugs intravenously
9
avoid blood transfusions
10
avoid injections
11
avoid sharing razors/blades
12
avoid kissing
13
avoid mosquito bites
14
seek protection from traditional practitioner
15
other
{8.27} methods of prevention - third
What can a person do to prevent it?
Household members 10 years and older and have heard about HIV/AIDS
0
0
1
abstain from sex
2
use condoms
3
limit sex to one partner
4
limit number of sexual partners
5
avoid sex with prostitutes
6
avoid sex with persons who have many partners
7
avoid sex with homosexuals
8
avoid sex with persons who inject drugs intravenously
9
avoid blood transfusions
10
avoid injections
11
avoid sharing razors/blades
12
avoid kissing
13
avoid mosquito bites
14
seek protection from traditional practitioner
15
other
{8.27} methods of prevention - fourth
What can a person do to prevent it?
Household members 10 years and older and have heard about HIV/AIDS
0
0
1
abstain from sex
2
use condoms
3
limit sex to one partner
4
limit number of sexual partners
5
avoid sex with prostitutes
6
avoid sex with persons who have many partners
7
avoid sex with homosexuals
8
avoid sex with persons who inject drugs intravenously
9
avoid blood transfusions
10
avoid injections
11
avoid sharing razors/blades
12
avoid kissing
13
avoid mosquito bites
14
seek protection from traditional practitioner
15
other
0
0
{8.28} ever been immunized
Has ..[NAME].. ever been immunized?
NEXT CHILD
Don't know [3] -> NEXT CHILD]]>
Children under 5 years
0
0
1
yes
2
no
3
don't know
{8.29} have immunization card
Do you have a card which shows which vaccinations ..[NAME].. has received?
(8.31)
No [3] -> (8.31)]]>
Children under 5 years and have been immunized
0
0
1
yes, seen
2
yes, not available
3
no
{8.30} received vaccine: bcg
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: dpt1
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: dpt2
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: dpt3
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: polio 1
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: polio 2
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: polio 3
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: measles
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: hp-b 1
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: hp-b 2
Interviewer
Copy from card
Check from card whether immunization has taken place.
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
{8.30} received vaccine: hp-b 3
Interviewer
Copy from card
Check from card whether immunization has taken place.
-> (8.39)
Children under 5 years and have been immunized with vaccination card (v08_29 = 1)
0
0
1
yes
2
no
BCG
Has [NAME] received a BCG vaccination against tuberculosis, that is an injection in the upper arm that left a scar?
Children under 5 years and have been immunized
0
0
1
yes
2
no
3
don't know
{8.32} received polio vaccine
Polio
Has [NAME] received a polio vaccine that is pink or white drops in the mouth?
(8.35)
Don't know [3] -> (8.35)]]>
v08_31 = 2, 3
0
0
1
yes
2
no
3
don't know
{8.33} when first polio vaccine received
Polio
When was the first polio vaccine received, just after birth or later?
v08_32 = 1
0
0
1
just after birth
2
later
3
don't know
{8.34} no. of time polio vaccine received
Polio
How many times was the polio vaccine given?
v08_32 = 1
0
0
1
once
2
twice
3
thrice
4
more than 3 times
5
don't know
{8.35} received dpt vaccine
DPT
Has [NAME] been given a DPT vaccination, that is an injection usually given in the thigh or buttocks at the same time as polio drops?
(8.37)
Don't know [3] -> (8.37)]]>
v08_31 = 2, 3
0
0
1
yes
2
no
3
don't know
{8.36} no. of time dpt vaccine received
DPT
How many times did [NAME] get this shot? TIMES
v08_35 = 1
0
0
{8.37} received measles vaccine
Measles
Has [NAME] been given an injection against measles?
v08_31 = 2, 3
0
0
1
yes
2
no
3
don't know
{8.38} received hp-b vaccine
Hp-B
Has [NAME] been given an injection agains Hp-B?
v08_31 = 2, 3
0
0
1
yes
2
no
3
don't know
{8.39} place of immunization
Where was the most recent immunization given?
Children under 5 years and have been immunized
0
0
1
shp
2
hp
3
phc
4
hospital
5
outreach clinic
6
other health inst.
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
unique id
0
0
serial no. of woman
Serial no. of woman
All ever married women aged 15-49 years who have given live birth
0
0
id code of woman
ID Code of woman
All ever married women aged 15-49 years who have given live birth
0
0
id code of respoondent
ID Code of respoondent
All ever married women aged 15-49 years who have given live birth
0
0
birth order
Birth order
All ever married women aged 15-49 years who have given live birth
0
0
{9.03} child name
What is the child's name?
All ever married women aged 15-49 years who have given live birth
0
0
{9.03} date of birth, month
When was [ORDER] child born? MTH
If not known, estimate using supplementary calender
All ever married women aged 15-49 years who have given live birth
0
0
1
baishakh
2
jestha
3
aashadh
4
shravan
5
bhadra
6
ashwin
7
kartik
8
mangsir
9
poush
10
magh
11
falgun
12
chaitra
{9.03} date of birth, year
When was [ORDER] child born? YR
If not known, estimate using supplementary calender
All ever married women aged 15-49 years who have given live birth
0
0
{9.03} sex of child
What is the sex of [NAME]?
All ever married women aged 15-49 years who have given live birth
0
0
1
male
2
female
{9.03} still alive
Is [NAME] still alive?
No [2] -> (9.09)
All ever married women aged 15-49 years who have given live birth
0
0
1
yes
2
no
{9.03} currently live with you
Does [NAME] currently live with you?
No [2] -> (9.10)
v9_06 = 1
0
0
1
yes
2
no
{9.03} id code of child
Interviewer
Copy ID code of child from household roster
Copy ID CODE of child from household roster.
-> NEXT CHILD
All ever married women aged 15-49 years who have given live birth & [9.07 = 1]
0
0
{9.03} lifetimer: years
How long did [NAME] live? YRS
9.06 = 2
0
0
{9.03} lifetime: months
How long did [NAME] live? MTHS
9.06 = 2
0
0
{9.03} lifetime: days
How long did [NAME] live? DAYS
9.06 = 2
0
0
{9.03} highest level completed
What was the highest level of schooling that [NAME] completed? EDUCATION CODE
If child has never gone to school, write "98"
All ever married women aged 15-49 years who have given live birth
0
0
0
nursery/kg/pre-school
1
class 01
2
class 02
3
class 03
4
class 04
5
class 05
6
class 06
7
class 07
8
class 08
9
class 09
10
class 10
11
slc
12
intermediate
13
bachelor
14
master
15
profesional degree
98
never attending school
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line number
0
0
id code of woman
Copy ID code of women with children less than 36 months from Part A question (9.01)
Copy ID CODE of Women with children less than 36 months from Part A Question (9.01).
All women who have given live birth during the past 36 months
0
0
{9.12} went for pre-natal consultation
While you were pregnant with your last child, did you go for prenatal consultations to a health care facility?
No [2] -> (9.18)
All women who have given live birth during the past 36 months
0
0
1
yes
2
no
{9.13} place where first care was received
Where did you first receive this care?
v09_12 = 1
0
0
1
shp
2
hp
3
phc
4
hospital
5
mobile clinic
6
ayurved centre
7
pharmacy
8
clinic
9
pvt. hospital
10
health worker's home
11
other
{9.14} provider of pre-natal care
Who provided this care?
v09_12 = 1
0
0
1
doctor
2
nurse/anm ha/sahw /ahw/mchw/ vhw
3
tba
4
sba
5
other
{9.15} month of first visit
At what month of pregrancy did you go for your first visit?
v09_12 = 1
0
0
{9.16} given tetanus injection after birth
During this pregnancy, were you given an injection in the arm to prevent the baby from getting tetanus, that is convulsions after birth?
No [2] -> (9.18)
v09_12 = 1
0
0
1
yes
2
no
{9.17} no. of times received injection
How many times did you receive this injection?
-> (9.19)
v09_16 = 1
0
0
1
once
2
twice
3
more than twice
{9.18} reason for not going for pre-natal consultation
What is the main reason why you didn't go for prenatal consultations the last time you were pregnant?
v09_16 = 1
0
0
1
don't think is necessary
2
health facilty too far
3
no transport
4
health care too expensive
5
transport too expensive
6
7
health workers not present
8
health care not good quality
9
other
Line number
All women who have given live birth during the past 36 months
0
0
{9.19} place of birth delivery
Where did you give birth?
All women who have given live birth during the past 36 months
0
0
1
home
2
shp
3
hp
4
phc
5
hospital
6
pvt. hospital
7
other
{9.20} assistant to birth delivery
Who assisted you with this birth?
All women who have given live birth during the past 36 months
0
0
1
family member or relatives
2
neighbours
3
tba
4
sba
5
ha/sahw/ahw/mchw/chw/vhw
6
anm/nurse/doctor
7
other
8
no one
9
don't know
{9.21} had post-natal checkup
After the birth, did you visit a health care facility within six weeks of delivery for a post-natal checkup?
No [2] -> (9.24)
All women who have given live birth during the past 36 months
0
0
1
yes
2
no
{9.22} place of post-natal check-up
Where did you go for this visit?
v09_21 = 1
0
0
1
shp
2
hp
3
phc
4
hospital
5
mobile clinic
6
ayurved centre
7
pharmacy
8
clinic
9
pvt. hospital
10
health worker's home
11
other
{9.23} provider of post-natal care
Who provided this care?
-> NEXT PERSON
v09_21 = 1
0
0
1
doctor
2
nurse/amn/ha/sahw/ahw/mchw/vhw
3
tba
4
sba
5
other
{9.24} reason for not going for post-natal consultation
What is the main reason why you didn't go for postnatal consultations the last time you were pregnant?
v09_24 = 2
0
0
1
don't think necessary
2
health facilty too far
3
no transport
4
health care too expensive
5
transport too expensive
6
7
health workers not present
8
health care not good quality
9
other
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
id code of woman
Identification Code
All currently married women aged 15-49 years
0
0
{9.25} woman aged 15-49 and married
Interviewer
Look back at Section 1, Questions 1.02, 1.03 and 1.06
Is the person a woman aged 15-49 years and married?
No [2] -> NEXT PERSON
All currently married women aged 15-49 years
0
0
1
yes
2
no
{9.26} age at first marriage
How old were you when you first got married? YEARS
All currently married women aged 15-49 years
0
0
{9.27} know any method to prevent pregnancy
Do you know of any method to prevent pregnancy or space births?
No [2] -> (9.35)
All currently married women aged 15-49 years
0
0
1
yes
2
no
{9.28} medium of learning method
By which medium did you learn about family planning methods?
v09_27 = 1
0
0
1
radio
2
television
3
newspapers/ pamphlets/ posters
4
friends/ relatives
5
health worker
6
husband
7
textbook
8
other
{9.29} ever used method
Have you (or your husband) ever used any of these methods?
No [2] -> (9.33)
v09_27 = 1
0
0
1
yes
2
no
{9.30} currently using any method
Are you (or your husband) currently using any of these methods?
No [2] -> (9.33)
v09_29 = 1
0
0
1
yes
2
no
{9.31} method currently used
Which method do you currently use?
(9.34)
Female sterilization [7] -> (9.34)
Male sterilization [8] -> (9.34)]]>
v09_30 = 1
0
0
1
pill
2
iud
3
injectables
4
implants
5
condom
6
trad. method
7
female sterilization
8
male sterilization
9
other
{9.32} source of method
Where do you/ did you get this method?
-> (9.34)
v09_30 = 1 OR v09_31 <> 6, 7, 8
0
0
1
2
private health inst.
3
pharmacy
4
vsc
5
other
{9.33} reason for not using any method
Why not?
v09_29 = 1
0
0
1
not available
2
too expensive
3
husband away
4
want more children
5
religious reasons
6
scared of side-effects
7
husband does not want
8
other
{9.34} health worker visited in last 6 months
During the last six months, did any health worker visit your home to talk about family planning?
v09_27 = 1
0
0
1
yes
2
no
{9.35} a) desired no of children: total
How many children would you like to have? How many TOTAL?
If respondent replies “up to god or karma” code as “98” to column total
All currently married women aged 15-49 years
0
0
98
up to god/ karma
{9.35} b) desired no of children: boys
How many children would you like to have? How many boys?
If respondent replies “up to god or karma” code as “98” to column total
All currently married women aged 15-49 years
0
0
98
up to god/ karma
{9.35} c) desired no of children: girls
How many children would you like to have? How many girls?
If respondent replies “up to god or karma” code as “98” to column total
All currently married women aged 15-49 years
0
0
98
up to god/ karma
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
decision number
Woman who is the spouse of the household head or female head of the household
Women spouses of the household head or female heads of the household
0
0
1
up to what grade should the children attend school
2
which school do the children go to
3
obtaining health care for self
4
obtaining health care during pregnancy
5
how many children to have
6
which contraceptive method use
7
obtaining health care for children
8
spending on food
9
spending on major household items
10
selling household assets (including livestock)
11
which crops to grow
12
to take loans
13
how to use loans
14
to migrate for employment
15
how to use remittances
decision description
Woman who is the spouse of the household head or female head of the household
Women spouses of the household head or female heads of the household
0
0
{9.37} had to make decision in last 12 months
Woman who is the spouse of the household head or female head of the household
During the last 12 months did your household have to make a decision on …[TYPE OF DECISION]..?
No [2] -> NEXT DECISION
Women spouses of the household head or female heads of the household
0
0
1
yes
2
no
{9.38} involvement in decision making
Woman who is the spouse of the household head or female head of the household
Were you involved in the most recent decision on ..[TYPE OF DECISION]..?
Women spouses of the household head or female heads of the household & [9.37 = 1]
0
0
1
a lot
2
a little
3
not involved
{9.39} final decision maker
Woman who is the spouse of the household head or female head of the household
Who made the final decision on ..[TYPE OF DECISION]..?
Women spouses of the household head or female heads of the household & [9.37 = 1]
0
0
1
me
2
my spouse
3
both
4
other
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
All household members 5 years and older
0
0
{10.01} a) hours spent on fetching water
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} b) hours spent on firewood collecting
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} c) hours spent on fodder collecting
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} d) hours spent on care animal
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} e) hours spent on knitting/weaving/tailoring
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} f) hours spent on processing preserved food
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} g) total hours spent for [a-f]
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} h) hours spent on hhld repairing
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} i) hours spent on cooking/serving food
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} j) hours spent on cleaning house
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} k) hours spent on shopping
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} l) hours spent on caring for elderly/sick/disabled
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} m) hours spent on baby sitting/child caring
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
{10.01} n) hours spent on other volunteer/community service
How many hours has ..[NAME].. spent doing the following activities during the past 7 days?
All household members 5 years and older
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
person-job sequence no
Person-Job Sequence No
0
0
person id code
Copy the ID of all household members 5 years and older
ID Code
0
0
Job ID
0
0
1
1st job
2
2nd job
3
3rd job
4
4th job
5
5th job
99
total number of hours worked during the past 7 days
{10.03} occupation description
Please describe all the jobs conducted during the last 12 months. DESCRIPTION OF OCCUPATION
0
0
{10.03} occupation code (nsco)
Please describe all the jobs conducted during the last 12 months. NSCO CODE
0
0
11
armed forces
111
legislators
112
government officials
114
officials of special interest organizations
121
directors and chief executives
122
production and operations department managers
123
other department managers
131
general managers/managing proprietors
211
physicists, chemists and related professionals
212
mathematicians, statisticians and related professionals
213
computing professionals
214
architects, engineers and related professionals
221
life science professionals
222
health professionals, except nursing
223
nursing and midwifery professionals
231
college, university and higher education teaching professionals
232
secondary education teaching professionals
233
primary and pre-primary education teaching professionals
234
special education teaching professionals
235
other teaching professionals
241
business professionals
242
legal professionals
243
archivists, librarians and related information professionals
244
social science and related professionals
245
writers and creative or performing artists
246
religious professionals
311
physical and engineering science technicians
312
computer associate professionals
313
optical and electronic equipment operators
314
aircraft controllers and technicians
315
safety and quality inspectors
321
life science technicians and related associate professionals
322
modern health associate professional, except nursing
323
nursing and midwifery associate professionals
324
traditional medicine practitioners and faith healers
331
primary education teaching associate professionals
332
pre-primary education teaching associate professionals
333
special education teaching associate professionals
334
other teaching associate professionals
341
finance and sales associate professionals
342
business services agent and trade brokers
343
administrative associate professionals
344
customs, tax and related government associate professionals
345
police inspectors and detectives
346
social work associate professionals
347
artistic, entertainment and soprts associate professionals
348
religious associate professionals
411
secretaries and keyboard-operating clerks/assistants
412
numerical clerks/office assistants
413
material-recording and transport clerks/office assistants
414
library, mail and related clerks/office assistants
419
other office clerks/assistants
421
cashiers, tellers and related clerks/office assistants
422
client information clerks/office assistants
511
travel attendants and related workers
512
housekeeping and restaurant services workers
513
personal care and related workers
514
other professional services workers
515
astrologers, fortune-tellers and related workers
516
protective service workers
521
fashion and other models
522
shop salespersons and demonstratotrs
523
stall and market salespersons
611
market-oriented gardeners and crop growers
612
market-oriented animal producers and related workers
613
market-oriented crop and animal producers
614
forestry and related workers
615
fishery workers
621
subsistence agricultural and fishery workers
711
miners, shoftirers, stone cutters and carvers
712
building frame and related trades workers
713
building finishers and related trades workers
714
painters, building structure cleaners and related trades workers
721
metal moulders, welders, sheet-metal workers, structural-metal preparer
722
blacksmiths, tool-makers and related trades workers
723
machinery mechanics and fitters
724
electrical and electronic equipment mechanics and fitters
731
precision workers in metal and related materials
732
potters, glass-makers and related trades workers
733
handicraft workers in wood, textile, leather and related materials
734
printing and related trades workers
741
food processing and related trades workers
742
wood treaters, cabinet-makers and related traders workers
743
textile, garment and related trades workers
744
pelt, leather and shoe making trades workers
811
mining and mineral-processing plant operators
812
metal-processing-plant operators
813
glass, ceramics and relative plant operators
814
wood-processing and papermaking-plant operators
815
chemical-processing-plant operators
816
power-production and related plant operators
817
automated-assembly-line and industrial-robot operators
821
metal and mineral products machine operators
822
chemical-products machine operators
823
rubber and plastic products machine operators
824
wood-products machine operators
825
printing, binding and paper products machine operators
826
textile, fur and leather-products machine operators
827
food and related products machine operators
828
assemblers
829
other machine operators and assemblers
831
locomotive-engine drivers and related workers
832
motor vehicle drivers
833
agricultural and other mobile-plant operators
911
street vendors and related workers
912
shoe cleaning and other street services elementary occupations
913
domestic and related helpers, cleaners and launderers
914
building caretakers, windows and related cleaners
915
messengers, porters, doorkeepers and related workers
916
garbage collectors and related labourers
921
agricultural, fishery and related labourers
931
mining and construction labourers
932
manufacturing labourers
933
transport labourers and freight handlers
996
household work
997
student
998
not working
999
not reported
{10.04} a) worked in baishakh
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} b) worked in jestha
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} c) worked in aashadh
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} d) worked in shravan
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} e) worked in bhadra
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} f) worked in ashwin
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} g) worked in kartik
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} h) worked in mangsir
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} i) worked in poush
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} j) worked in magh
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} k) worked in falgun
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.04} l) worked in chaitra
In which month did you work on this job during the past 12 months
0
0
1
yes
2
no
{10.05} a) average no of days/month worked
On average, during the months when you did this job, how many days per month did you work on this?
0
0
{10.05} b) average no of hours/day worked
On average, during the months when you did this job, how many hours per day did you work on this?
0
0
{10.06} a) hours worked during past 7 days - sunday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} b) hours worked during past 7 days - monday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} c) hours worked during past 7 days - tuesday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} d) hours worked during past 7 days - wednesday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} e) hours worked during past 7 days - thursday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} f) hours worked during past 7 days - friday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} g) hours worked during past 7 days - saturday
How many hours per day did you work on this job during the past 7 days?
0
0
{10.06} h) hours worked during past 7 days - total
How many hours per day did you work on this job during the past 7 days?
0
0
{10.07} sector of employment
What was the type of work?
0
0
1
wage employment in agri.
2
wage employment in non-agri.
3
self-employment in agri.
4
self-employment in non-agri.
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
All household members 5 years and older
0
0
{11.01} total hours worked
Interviewer
Look back to questions (10.01) Column "g" and (10.06) column "h": How many hours did ..[name].. work in total during the past 7 days?
How many hours did ..[NAME].. work in total during the past 7 days?
NEXT PERSON
If greater that zero but less than 40 hrs -> (11.05)
If zero, continue with question (11.02)]]>
All household members 5 years and older
0
0
{11.02} available for work
Was ..[NAME].. available for work during the past 7 days?
No [2] -> (11.04)
All household members 5 years and older & [11.01 = 0]
0
0
1
yes
2
no
{11.03} looked for work
Did ..[NAME].. look for work during the past 7 days?
Yes [1] -> NEXT PERSON
v11_02 = 1
0
0
1
yes
2
no
{11.04} reason why not available/did not look for work
Why was ..[NAME].. not available /did ..[NAME].. not look for work during the past 7 days?
-> NEXT PERSON
v11_03 = 2
0
0
1
attending school
2
household duties
3
old/sick
4
disabled
5
thought no work available
6
awaiting reply to earlier enquiries
7
waiting to start arranged job/business
8
off season
9
not available
10
others
{11.05} available for additional work
Was ..[NAME].. available for additional work during the past 7 days?
No [2] -> (11.07)
v11_01 < 40
0
0
1
yes
2
no
{11.06} looked for additional work
Did ..[NAME].. look for additional work during the past 7 days?
Yes [1] -> NEXT PERSON
v11_05 = 1
0
0
1
yes
2
no
{11.07} reason why not available/did not look for additional work
Why was ..[NAME].. not available/ did ..[NAME].. not look for more work during the past 7 days?
v11_05 = 2
0
0
1
could not find more work/lack of business
2
lack of finance, raw materials
3
machinery, electrical, other breakdow
4
off season inactivity
5
industrial dispute
6
other involuntary
7
have sufficient work
8
household duties
9
student, unpaid training
10
illness, disability
11
vacation, family reason
12
pregnant/delivery
13
other voluntary
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line Number
0
0
{12.01} person id-code
Interviewer: Copy the ID Code and Job ID form Section 10 for all jobs classified wage job (Question (10.07) Codes 1 and 2)
ID CODE
0
0
{12.01} job-id
Interviewer: Copy the ID Code and Job ID form Section 10 for all jobs classified wage job (Question (10.07) Codes 1 and 2)
JOB ID
0
0
{12.02} work activity description
Which individual sector do you work for?
Write the name of goods and services produced at the industrial sector where the respondent works.
0
0
Which individual sector do you work for?
Write the name of goods and services produced at the industrial sector where the respondent works.
0
0
1
agriculture and related service activities
2
forestry, logging and related service activities
5
fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
10
mining of coal and lignite; extraction of peat
11
extraction of crude petrolium and natural gas; service activities incidental to oil and gas extraction excluding surveying
12
mining of uranium and thorium ores
13
mining of metal ores
14
other mining and quarrying
15
manufacture of food products and beverages
16
manufacture of tobacco products
17
manufacture of textiles
18
manufacture of wearing apprel; dressing and dyeing of fur
19
tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness
20
manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
21
manufacture of paper and paper products
22
publishing, printing and reproduction of recorded media
23
manufacture of coke, refined petrolium products and nuclear fuel
24
manufacture of chemicals and chemical products
25
manufacture of rubber and plasics products
26
manufacture of other non-metalic minaral products
27
manufacture of basic metals
28
manufacture of fabricated metal products, except machinery and equipment
29
manufacture of machinery and equipment n.e.c.
30
manufacture of office, accounting and computing machinery
31
manufacture of electrical machinery and apparatus n.e.c.
32
manufacture of radio, tv and communication equipment and apparatus
33
manufacture of medical, precision and optical instruments, watches and clocks
34
manufacture of motor vehicles; trailers and semi-trailers
35
manufacture of other transport equipment
36
manufacture of furniture; manufacturing n.e.c.
37
recycling
40
electricity and gas supply
41
collections, purification and distribution of water
45
construction
50
sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
51
wholesale trade and commission trade, except of motor vehicles and motorcycles
52
retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
55
hotels and restaurants
60
land transport
61
water transport
62
air transport
63
supporting and auxiliary transport activities; activities of travel agencies
64
post and telecommunications
65
financial intermediation, except insurance and pension funding
66
insurance and pension funding, except compulsory social security
67
activities auxiliary to financial intermediation
70
real estate activities
71
renting of machinery and equipment without operator and of personal and household goods
72
computer and related activities
73
researches and development
74
other business activities
75
public administration and defence; compulsory social security
80
education
85
healths and social work
90
sewage and refuse disposal, sanitation and similar activities
91
activities of membership organizations n.e.c.
92
recreational, cultural and sporting activities
93
other service activities
95
private households with employed persons
99
extra-territorial organization and bodies
{12.03} basis of payment received
How did you work to receive wages?
(12.07)
Contract/Piece Basis [3] -> (12.21)]]>
0
0
1
daily basis
2
long term basis
3
contract/ piece-rate
{12.04} cash per day (rs.)
Paid by Day
How much did you get in cash per day for the job?
0
0
{12.05} in-kind payment - first
Paid by Day
What did you get in kind?
Received nothing in kind [7] -> NEXT JOB
0
0
1
paddy/rice
2
wheat
3
maize
4
meals
5
clothing
6
other
7
received nothing in kind
{12.05} in-kind payment - second
Paid by Day
What did you get in kind?
Received nothing in kind [7] -> NEXT JOB
0
0
1
paddy/rice
2
wheat
3
maize
4
meals
5
clothing
6
other
{12.06} value of in kind - rs./day
Paid by Day
What was the value of what you received in kind? RUPEES PER DAY
NEXT JOB]]>
0
0
{12.06} value of in kind - other (rs/whole period)
Paid by Day
What was the value of what you received in kind? RUPEES/WHOLE PERIOD
NEXT JOB]]>
0
0
0
0
{12.07} sector of long term worker
Interviewer
Is this wage job involved in agriculture?
Wage job not in agriculture [2] -> (12.15)
0
0
1
wage job in agriculture
2
wage job in non-agriculture
{12.08} cash received (rs.)
How much did you get in cash for this job over the past 12 months? RUPEES
0
0
{12.09} in-kind received: first
What did you get in kind?
Received nothing in kind [7] -> (12.11)
0
0
1
paddy/rice
2
wheat
3
maize
4
meals
5
clothing
6
other
7
nothing in-kind
{12.09} in-kind received: second
What did you get in kind?
Received nothing in kind [7] -> (12.11)
0
0
1
paddy/rice
2
wheat
3
maize
4
meals
5
clothing
6
other
{12.10} value of in-kind - rs/day
What was the value of what you received in kind? RUPEES PER DAY
0
0
{12.10} value of in-kind - rs/whole period
What was the value of what you received in kind? RUPEES/WHOLE PERIOD
Record value of daily in-kind payments and value of in-kind payments for whole period worked.
0
0
{12.11} took loan from employer
Did you at any time take a loan from you employer?
0
0
1
yes
2
no
{12.12} other member also work same employer
Did any other member of your household also work for the same employer?
0
0
1
yes
2
no
{12.13} share crop with employer
Did you share-crop any land with your employer?
0
0
1
yes
2
no
{12.14} tent livestock for emploer
Did you tend any livestock for your employer?
-> NEXT PERSON
0
0
1
yes
2
no
0
0
{12.15} received as salary/month
How much did you get for this job? Take-home pay per month? RUPEES
Write ZERO if nothing
0
0
{12.15} received as transport/month
How much did you get for this job? Transport per month? RUPEES
Write ZERO if nothing
0
0
{12.15} received as bonus/year
How much did you get for this job? Bonuses, tips, alowances (inclue Dasain)? RUPEES
Write ZERO if nothing
0
0
{12.15} received as uniform/year
How much did you get for this job? Uniform/ clothing? RUPEES
Write ZERO if nothing
0
0
{12.15} received as payments/year
How much did you get for this job? Any other payments? RUPEES
Write ZERO if nothing
0
0
{12.16} tax already deducted
Are taxes already deducted?
0
0
1
yes
2
no
{12.17} provision of provident fund
Do you contribute to an Employee Provident Fund?
0
0
1
yes
2
no
{12.18} provision of pension
Will you receive a pension when you retire?
0
0
1
yes
2
no
{12.19} provision of subsidized medical care
Do you receive subsidized medical care?
0
0
1
yes
2
no
{12.20} no. of employees
How many people work for your employer?
-> NEXT WORK
0
0
1
one
2
two to nine
3
ten or more
{12.21} how much receive in-kind and cash
During the past 12 months, having worked on a contract, how much did you receive in-kind and cash?
0
0
priimary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Strata in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Plot number
Households who own agricultural land [13.02 =1]
0
0
{13.03} name of plot
Make a list of all the plots/ gardens that household owns:
Plot Description or Name
Households who own agricultural land [13.02 =1]
0
0
{13.04} plot area - unit
What is the total area of this ..[PLOT]..? UNIT
Households who own agricultural land [13.02 =1]
0
0
1
ropani
2
bigha
{13.04} plot area - ropani/bigha
What is the total area of this ..[PLOT]..? AREA - R/B
Households who own agricultural land [13.02 =1]
0
0
{13.04} lot area - aana/kattha
What is the total area of this ..[PLOT]..? AREA - A/K
Households who own agricultural land [13.02 =1]
0
0
{13.04} plot area - paisa/dhur
What is the total area of this ..[PLOT]..? AREA - P/D
Households who own agricultural land [13.02 =1]
0
0
{13.05} district where plot is located
Where is this plot located? DISTRICT CODE
Households who own agricultural land [13.02 =1]
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
{13.06} type of land
What type of land is the ..[PLOT]..?
Households who own agricultural land [13.02 =1]
0
0
1
up land
2
low land
{13.07} plot irrigated
Is the ..[PLOT].. irrigated or rainfed?
Rainfed [2] -> (13.10)
Households who own agricultural land [13.02 =1]
0
0
1
yes
2
no
{13.08} seasonal/year round irrigation
Is the irrigation on the ..[PLOT].. seasonal or year round?
Households who own agricultural land [13.02 =1] & [13.07 =1]
0
0
1
seasonal
2
year round
{13.09} code of irrigation
What is the mode of irrigation on the ..[PLOT]..?
Households who own agricultural land [13.02 =1] & [13.07 =1]
0
0
1
tubewell/boring
2
canal
3
pond/tank
4
other natural sources
5
mixed
{13.10} value of plot (rs.)
If you wanted to buy/sell a plot exactly like this, how much would it cost/ fetch you?
Households who own agricultural land [13.02 =1]
0
0
Plot number
Households who own agricultural land [13.02 =1]
0
0
{13.11} dry season: use of plot
Over the past DRY SEASON what did you do with the .[PLOT].?
(13.13)
Mortgaged out [4] -> (13.14)
Left fallow [5] -> (13.14)]]>
Households who own agricultural land [13.02 =1]
0
0
1
croped yourself
2
sharedcroped out
3
fixed rent out
4
mortgaged out
5
left fallow
6
other
{13.12} dry season: net rent received/cash (rs)
For the plots which you did not crop yourself during the last dry season, what net rent did you receive from the tenant? NET RENT (Rs.), CASH
-> (13.14)
Households who own agricultural land [13.02 =1] & [13.11 <> 1, 4, 5]
0
0
{13.12} dry season: net rent received/in-kind (rs)
For the plots which you did not crop yourself during the last dry season, what net rent did you receive from the tenant? NET RENT (Rs.), IN-KIND
-> (13.14)
Households who own agricultural land [13.02 =1] & [13.11 <> 1, 4, 5]
0
0
{13.13} a) dry season: 1st crop
For the plots which you cropped yourself, what crops did you grow during the dry season? CROP CODE A
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.13 = 1]
0
0
0
no cultivate in dry season
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.13} b) dry season: 2nd crop
For the plots which you cropped yourself, what crops did you grow during the dry season? CROP CODE B
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.13 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.13} c) dry season: 3rd crop
For the plots which you cropped yourself, what crops did you grow during the dry season? CROP CODE C
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.13 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.13} d) dry season: 4th crop
For the plots which you cropped yourself, what crops did you grow during the dry season? CROP CODE D
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.13 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.14} wet season: use of plot
Over the past WET SEASON what did you do with the .[PLOT].?
(13.16)
Mortgaged out [4] -> NEXT PLOT
left fallow [5] -> NEXT PLOT]]>
Households who own agricultural land [13.02 =1]
0
0
1
croped yourself
2
sharedcroped out
3
fixed rent out
4
mortgaged out
5
left fallow
6
other
{13.15} wet season: net rent received/cash (rs)
For the plots which you did not crop yourself during the last wet season, what net rent did you receive from the tenant? NET RENT (Rs.), CASH
-> NEXT PLOT
Households who own agricultural land [13.02 =1] & [13.14 <> 1, 4, 5]
0
0
{13.15} wet season: net rent received/in-kind (rs)
For the plots which you did not crop yourself during the last wet season, what net rent did you receive from the tenant? NET RENT (Rs.), IN-KIND
-> NEXT PLOT
Households who own agricultural land [13.02 =1] & [13.14 <> 1, 4, 5]
0
0
{13.16} a) wet season: 1st crop
For the plots which you cropped yourself, what crops did you grow during the wet season? CROP CODE A
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.14 = 1]
0
0
0
no cultivate in wet season
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.16} b) wet season: 2nd crop
For the plots which you cropped yourself, what crops did you grow during the wet season? CROP CODE B
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.14 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.16} c) wet season: 3rd crop
For the plots which you cropped yourself, what crops did you grow during the wet season? CROP CODE C
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.14 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.16} d) wet season: 4th crop
For the plots which you cropped yourself, what crops did you grow during the wet season? CROP CODE D
See crop code in Table "H"
Households who own agricultural land [13.02 =1] & [13.14 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
strata in the nlss3 sample
Strata in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
{13.19} name of plot
MAKE A LIST OF ALL THE PLOTS/GARDENS THAT THE HOUSEHOLD CULTIVATED THROUGH SHARECROPPING-IN, RENTING-IN OR MORTGAGINGIN
Plot Description or Name
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
{13.20} contractual arrangement
What is the contractual arrangement on this ..[PLOT]..?
(13.22)
Mortgaged-in (3) -> 13.22]]>
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
1
sharedcroped out
2
rent-in
3
mortgaged-in
4
other
{13.21} rent paid (cash only)
How much “rent” did you pay for this plot to the landlord?
Include only cash payments. If nothing write ZERO.
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1] & [13.20 = 2, 4]
0
0
{13.22} area of other's land - unit
What is the total area of this ..[PLOT]..? UNIT
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
1
ropani
2
bigha
{13.22} area of other's land - ropani/bigha
What is the total area of this ..[PLOT]..? AREA - R/B
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
{13.22} area of other's land - aana/kattha
What is the total area of this ..[PLOT]..? AREA - A/K
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
{13.22} area of other's land - paisa/dhur
What is the total area of this ..[PLOT]..? AREA - P/D
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
{13.23} type of land
What type of land is the ..[PLOT]..?
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
1
up land
2
low land
{13.24} plot irrigated
Is the ..[PLOT].. irrigated or rainfed?
Rainfed [2] -> (13.27)
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
1
yes
2
no
{13.25} seasonal/year round irrigation
Is the irrigation on the ..[PLOT].. seasonal or year round?
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1] & [13.24 = 1]
0
0
1
seasonal
2
year round
{13.26} mode of irrigation
What is the mode of irrigation on the ..[PLOT]..?
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1] & [13.24 = 1]
0
0
1
tubewell
2
canal
3
pond/tank
4
other natural sources
5
mixed
Plot number
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
{13.27} a) dry season : crop 1
What crops did you cultivate over the past DRY SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
no cultivate in dry season
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.27} b) dry season : crop 2
What crops did you cultivate over the past DRY SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.27} c) dry season : crop 3
What crops did you cultivate over the past DRY SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.27} d) dry season : crop 4
What crops did you cultivate over the past DRY SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.28} a) wet season : crop 1
What crops did you cultivate over the past WET SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
no cultivate in wet season
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.28} b) wet season : crop 2
What crops did you cultivate over the past WET SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.28} c) wet season : crop 3
What crops did you cultivate over the past WET SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.28} d) wet season : crop 4
What crops did you cultivate over the past WET SEASON?
See crop code in Table "H"
All households that cultivated land owned by someone else over the past agriculture year [13.16 = 1]
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
strata in the nlss3 sample
Strata in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line number
0
0
{13.35} name of crop
In the past AGRICULTURE YEAR, what crops did you grow? CROP DESCRIPTION
List all crops gown by household first before asking Q. 13.36 - 13.38.
0
0
{13.35} crop code
In the past AGRICULTURE YEAR, what crops did you grow? CROP CODE
List all crops gown by household first before asking Q. 13.36 - 13.38.
0
0
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.36} used improved seed
Did you use an improved variety of seed of ..[CROP]..?
0
0
1
yes
2
no
{13.37} a) production unit
Please provide the following information related to quantity of ..[CROP].. produced by your household, as well as the various uses to which it was put: A - UNIT
Use quantity codes in column "A"
0
0
1
kg
2
gram
3
mund
4
liter
5
muri
6
pathi
7
mana
8
kuruwa
9
piece
10
dozen
11
quintal
{13.37} b) total quantity harvested
Please provide the following information related to quantity of ..[CROP].. produced by your household, as well as the various uses to which it was put: B - Total Quantity Harvested
Use quantity codes in column "A"
0
0
{13.37} c) quantity given to landlord
Please provide the following information related to quantity of ..[CROP].. produced by your household, as well as the various uses to which it was put: C - Quantity given to landlord
Use quantity codes in column "A"
0
0
{13.37} d) quantity sold
Please provide the following information related to quantity of ..[CROP].. produced by your household, as well as the various uses to which it was put: D - Qunatity sold (or expected to sell)
Use quantity codes in column "A"
0
0
{13.38} a) sold unit
Please report the total quantity and value of ...[crop]...sold. A - UNIT
If crop not sold, leave blank in clumn "A" and write "0" in column "B", "C" & "D"
0
0
1
kg
2
gram
3
mund
4
liter
5
muri
6
pathi
7
mana
8
kuruwa
9
piece
10
dozen
11
quintal
{13.38} b) total quantity sold
Please report the total quantity and value of ...[crop]...sold. B - Total quantity sold
If crop not sold, leave blank in clumn "A" and write "0" in column "B", "C" & "D"
0
0
{13.38} c) price per unit (rs.)
Please report the total quantity and value of ...[crop]...sold. C - Price per unit (RUPEES/UNIT)
If crop not sold, leave blank in clumn "A" and write "0" in column "B", "C" & "D"
0
0
{13.38} d) total sales amount (rs)
Please report the total quantity and value of ...[crop]...sold. D - TOTAL SALES (B*C) (RUPEES)
If crop not sold, leave blank in clumn "A" and write "0" in column "B", "C" & "D"
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
strata in the nlss3 sample
Strata in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line number
Households that purchased/ received seeds or young plants over the past AGRICULTURE YEAR
0
0
{13.40} crop description
For which crops did you purchase or receive any seeds or young plants over the past AGRICULTURE YEAR? CROP DESCRIPTION
Write name and code of crop.
Households that purchased/ received seeds or young plants over the past AGRICULTURE YEAR
0
0
{13.40} crop code
For which crops did you purchase or receive any seeds or young plants over the past AGRICULTURE YEAR? CROP CODE
Write name and code of crop.
Households that purchased/ received seeds or young plants over the past AGRICULTURE YEAR
0
0
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
97
transportation cost
98
expenditure on seeds/plant
{13.41} where seeds were obtained : first
Where did you obtain them? FIRST
Households that purchased/ received seeds or young plants over the past AGRICULTURE YEAR
0
0
1
agriculture development office
2
seeds company/service centre
3
other farmer
4
private dealer
5
from india
6
landlord
7
other
{13.41} where seeds were obtained : second
Where did you obtain them? SECOND
Households that purchased/ received seeds or young plants over the past AGRICULTURE YEAR
0
0
0
!end-of-list!
1
agriculture development office
2
seeds company/serv.centre
3
other farmer
4
private dealer
5
from india
6
landlord
7
other
{13.42} amount spent on seed/young plant
How much did you spend on buying them? RUPEES
If nothing, write ZERO
Households that purchased/ received seeds or young plants over the past AGRICULTURE YEAR
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line number
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
{13.44} fertilizer/insecticide description
Type of fertilizer or insecticide
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
{13.45} fertilizer used
Was this fertilizer or insecticide usedin the past AGRICULTURE YEAR?
-> NEXT TYPE
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
1
yes
2
no
{13.46} a) fertilizer used : crop 1
Crops on which used: CROP CODE
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.46} b) fertilizer used : crop 2
Crops on which used: CROP CODE
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.46} c) fertilizer used : crop 3
Crops on which used: CROP CODE
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
0
!end-of-list!
1
early paddy
2
main paddy
3
upland paddy
4
wheat
5
spring/winter maize
6
summer maize
7
millet
8
barley
9
buckwheat
10
other cereals
11
soybeans
12
black gram
13
red gram
14
grass pea
15
lentil
16
gram
17
pea
18
green gram
19
coarse gram
20
cow pea
21
other legumes
22
winter potato
23
summer potato
24
sweet potato
25
colocasia
26
other tubers
27
mustard
28
ground nut
29
linseed
30
sesame
31
other oilseed
32
sugarcane
33
jute
34
tobacco
35
other cash crops
36
chilies
37
onions
38
garlic
39
ginger
40
turmeric
41
cardamom
42
coriander seed
43
other spices
44
winter vegetables
45
summer vegetables
46
orange
47
lemon
48
lime
49
sweet lime
50
other citrus
51
mango
52
banana
53
guava
54
jack fruit
55
pineapple
56
lichee
57
pear
58
apple
59
plum
60
papaya
61
pomegranate
62
other fruit
63
tea
64
thatch
65
fodder trees
66
bamboo
67
other trees
{13.47} a) quantity purchased
Amount purchased: QUANTITY
If nothing, write ZERO
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
{13.47} b) amount paid (rs.)
Amount purchased: RUPEES
If nothing, write ZERO
Households that purchased any fertilizers/ insecticides over the past AGRICULTURE YEAR (or received them from the landlord)?
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line number
Households that hired casual farm workers over the past AGRICULTURE YEAR
0
0
{13.51} detail of work
Workers hired on a daily basis
Use separate rows for workers hired on a piece-rate basis and time basis.
Households that hired casual farm workers over the past AGRICULTURE YEAR
0
0
{13.52} hired worker on piece-rate basis
Did you hire these workers on a piece-rate basis?
Yes [1] -> (13.57)
Households that hired casual farm workers over the past AGRICULTURE YEAR
0
0
1
yes
2
no
{13.53} total man-days : male
For how many days in total did you hire this type of workers over the past AGRICULTURE YEAR? TOTAL MAN-DAYS, MALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.53} total man-days : female
For how many days in total did you hire this type of workers over the past AGRICULTURE YEAR? TOTAL MAN-DAYS, FEMALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.54} cash rate : male (rs/day/worker)
How much did you pay in cash per day to each worker? RUPEES PER DAY, MALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.54} cash rate : female (rs/day/worker)
How much did you pay in cash per day to each worker? RUPEES PER DAY, FEMALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.55} in-kind rate : male (rs/day/worker)
What was the value of what you gave in kind to each worker? (meals, etc.) RUPEES PER DAY, MALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.55} in-kind rate : female (rs/day/worker)
What was the value of what you gave in kind to each worker? (meals, etc.) RUPEES PER DAY, FEMALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.56} total rate : male [b+c] (rs/day/worker)
Interviewer
Add the amount reported in Q13.54 and Q13.55 (B + C)
Expenditure per worker, MALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.56} total rate : female [b+c] (rs/day/worker)
Interviewer
Add the amount reported in Q13.54 and Q13.55 (B + C)
Expenditure per worker, FEMALE
Households that hired casual farm workers over the past AGRICULTURE YEAR & [13.52 = 2]
0
0
{13.57} total expenditure : male [a*d] (rs)
Interviewer
Expenditure, RUPEES, MALE
Households that hired casual farm workers over the past AGRICULTURE YEAR
0
0
{13.57} total expenditure : female [a*d] (rs)
Interviewer
Expenditure, RUPEES, FEMALE
Households that hired casual farm workers over the past AGRICULTURE YEAR
0
0
{13.57} total expenditure : total (rs)
Interviewer
Expenditure, RUPEES, TOTAL
Households that hired casual farm workers over the past AGRICULTURE YEAR
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Source Number
0
0
1
total crop sales
2
sale of crop by-products
3
draft animals
4
tractor
5
thresher
6
other machinery
7
other income
8
total revenues
Source Name
0
0
{13.63} yearly income
Total revenue over AGRICULTURE YEAR, RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Exp. number
0
0
1
total expenditure on seeds
2
total expenditure on fertilizers
3
total expenditure on hired labor
4
irrigation chargers/ maintenance of watercourse, etc.
5
transportation of crops to market
6
sacks, twine, or other containers
7
storage facilities
8
improvements on land or buildings
9
repair and maintenance of equipment
11
draft animals
12
tractor
13
thresher
14
other machinery
15
other expenditures
16
total expenditures
Expenditure item
0
0
{13.64} yearly expenditure
Total revenue over AGRICULTURE YEAR, RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Livestock Code
0
0
1
bullocks/cows
2
he/she buffaloes
3
goats/castrated goat
4
he/she sheep
5
yaks/naks
6
pigs/pork
7
horses/donkeys/mules
8
poultry/ducks/ pigeons
9
other livestock
Did you own any ..[ANIMALS].. over the past 12 months?
Put a tick mark on the appropriate box for animal. If the answer is YES, ask Q (13.67) to (13.70).
0
0
{13.66} yes/no
Did you own any ..[ANIMALS].. over the past 12 months?
Put a tick mark on the appropriate box for animal. If the answer is YES, ask Q (13.67) to (13.70).
0
0
1
yes
2
no
{13.67} owned now (no.)
How much do you own now? NUMBER
0
0
{13.67} selling value (rs.)
For how much could you buy them all today? RUPEES
0
0
{13.68} owned 12 months ago (no.)
How many did you have 12 months ago? NUMBER
0
0
{13.68} selling value (rs.)
For how much could you have bought them all then? RUPEES
0
0
{13.69} sold past 12 months (no.)
How many did you sell over the past 12 months? NUMBER
0
0
{13.69} amount received (rs.)
How much did you sell them for? RUPEES
0
0
{13.70} bought past 12 month (no.)
How many did you buy overthe past 12 months? NUMBER
0
0
{13.70} amount paid (rs.)
How much did you pay for them? RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Number
0
0
1
milk
2
ghee
3
eggs
4
curd
5
meat
6
animal hides
7
other income
8
total income
Income item
0
0
{13.71} total income
Total revenue over the past 12 months, RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Number
0
0
Expenditure item
0
0
{13.72} total expenditure
Total expenditure over past 12 months, RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Eq. code
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
1
tractor
2
plough
3
cart
4
thresher
5
trolley
6
water pump
7
generator/diesel engine
8
grain storage bin
9
other machinery
10
total
Do you own a ..[EQUIPMENT]..? EQUIPMENT
Put a tick in the appropriate box for all equipment. if the answer is YES, ask Q. (13.76) to (13.81).
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
{13.75} yes/no
Do you own a ..[EQUIPMENT]..? NO/ YES
Put a tick in the appropriate box for all equipment. if the answer is YES, ask Q. (13.76) to (13.81).
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
1
yes
2
no
{13.76} owned now (no.)
How many ..[AGRICULTURALEQUIPMENT].. does your household presently own? NUMBER
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
{13.77} selling value (rs.)
For how much could you sell them all today? RUPEES
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
{13.78} sold (no.)
How many ..[AGRICULTURAL EQUIPMENT].. did your household sell over the past 12 months? NUMBER
If none, write ZERO and -> (13.80)
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
{13.79} amount received (rs.)
How much did you receive from the sale OF AGRICULTURAL EQUIPMENT? RUPEES
v13_78 > 0
0
0
{13.80} bought (no.)
How many ..[AGRICULTURAL EQUIPMENT].. did your household buy over the past 12 months? NUMBER
If none write ZERO and -> NEXT EQUIPMENT
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
{13.81 } amount paid (rs.)
How much did you pay for AGRICULTURAL EQUIPMENT? RUPEES
Households who have owned any equipment over the past 12 months [v13_74 = 1]
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Enterprise Code
v10_07 = 4
0
0
{14.02} a) detail of activities
v10_07 = 4
0
0
{14.02} b) produced goods and services
v10_07 = 4
0
0
{14.02} c) produced goods and services
What kind of enterprise did/do you operate? NSIC CODE
v10_07 = 4
0
0
1
agriculture and related service activities
2
forestry, logging and related service activities
5
fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
10
mining of coal and lignite; extraction of peat
11
extraction of crude petrolium and natural gas; service activities incidental to oil and gas extraction excluding surveying
12
mining of uranium and thorium ores
13
mining of metal ores
14
other mining and quarrying
15
manufacture of food products and beverages
16
manufacture of tobacco products
17
manufacture of textiles
18
manufacture of wearing apprel; dressing and dyeing of fur
19
tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness
20
manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
21
manufacture of paper and paper products
22
publishing, printing and reproduction of recorded media
23
manufacture of coke, refined petrolium products and nuclear fuel
24
manufacture of chemicals and chemical products
25
manufacture of rubber and plasics products
26
manufacture of other non-metalic minaral products
27
manufacture of basic metals
28
manufacture of fabricated metal products, except machinery and equipment
29
manufacture of machinery and equipment n.e.c.
30
manufacture of office, accounting and computing machinery
31
manufacture of electrical machinery and apparatus n.e.c.
32
manufacture of radio, tv and communication equipment and apparatus
33
manufacture of medical, precision and optical instruments, watches and clocks
34
manufacture of motor vehicles; trailers and semi-trailers
35
manufacture of other transport equipment
36
manufacture of furniture; manufacturing n.e.c.
37
recycling
40
electricity and gas supply
41
collections, purification and distribution of water
45
construction
50
sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
51
wholesale trade and commission trade, except of motor vehicles and motorcycles
52
retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
55
hotels and restaurants
60
land transport
61
water transport
62
air transport
63
supporting and auxiliary transport activities; activities of travel agencies
64
post and telecommunications
65
financial intermediation, except insurance and pension funding
66
insurance and pension funding, except compulsory social security
67
activities auxiliary to financial intermediation
70
real estate activities
71
renting of machinery and equipment without operator and of personal and household goods
72
computer and related activities
73
researches and development
74
other business activities
75
public administration and defence; compulsory social security
80
education
85
healths and social work
90
sewage and refuse disposal, sanitation and similar activities
91
activities of membership organizations n.e.c.
92
recreational, cultural and sporting activities
93
other service activities
95
private households with employed persons
99
extra-territorial organization and bodies
{14.03} a) household member in activity 1
Which people in the household work in this enterprise/activity?
Write ID Codes of main person in column "A" and of other in other columns from household roster.
v10_07 = 4
0
0
{14.03} b) household member in activity 2
Which people in the household work in this enterprise/activity?
Write ID Codes of main person in column "A" and of other in other columns from household roster.
v10_07 = 4
0
0
{14.03} c) household member in activity 3
Which people in the household work in this enterprise/activity?
Write ID Codes of main person in column "A" and of other in other columns from household roster.
v10_07 = 4
0
0
{14.03} d) household member in activity 4
Which people in the household work in this enterprise/activity?
Write ID Codes of main person in column "A" and of other in other columns from household roster.
v10_07 = 4
0
0
{14.03} e) household member in activity 5
Which people in the household work in this enterprise/activity?
Write ID Codes of main person in column "A" and of other in other columns from household roster.
v10_07 = 4
0
0
{14.04} respondent id
Interviewer
Write ID Code of person interviewed.
ID Code
Write ID Code of person interviewed.
v10_07 = 4
0
0
{14.05} a) duration of operation, years
For how long has the enterprise been operating? YEARS
Total time is sum of years and months
v10_07 = 4
0
0
{14.05} b) duration of operation, months
For how long has the enterprise been operating? MONTHS
Total time is sum of years and months
v10_07 = 4
0
0
{14.06} place of operation
Where do you operate the enterprise?
v10_07 = 4
0
0
1
home
2
other fixed location
3
other changing location
{14.07} months in operation, past year
In the past 12 months, how many months did the enterprise operate? MONTHS
v10_07 = 4
0
0
{14.08} business owner
Who owns the business?
Owned by household only -> (14.10)
v10_07 = 4
0
0
1
owned by household only
2
partnership/shared with other
{14.09} household profit share
What share of the profits is kept by your household? PERCENT
v10_07 = 4
0
0
Read the values with one decimal place.
Enterprise code
0
0
{14.10} customer 1
Who are your customers? First
0
0
1
other households or individuals
2
small enterprises
3
large private enterprises
4
govt. or other public firm
5
local retail traders
6
exporters or foreign purchasers
7
contractor
8
tourists
9
ngo / international organization
10
other
{14.10} customer 2
Who are your customers? Second
0
0
1
other households or individuals
2
small enterprises
3
large private enterprises
4
govt. or other public firm
5
local retail traders
6
exporters or foreign purchasers
7
contractor
8
tourists
9
ngo / international organization
10
other
{14.11} with government registration
Is the enterprise registered with the government?
0
0
1
yes
2
no
{14.12} source of capital
What was your main source of money for setting up the business?
0
0
1
didn't need any money
2
own savings
3
relatives/friends
4
agri. dev. bank
5
commercial bank
6
rural dev. bank
7
8
local group (dhukuti)
9
ngo or relief agency
10
sale of assets
11
other
{14.13} applied for loan
Have you tried to borrow money to operate or expand your business in the past 12 months?
No [3] -> (14.15)
0
0
1
yes, successfully
2
yes, but unsuccessfully
3
no
{14.14} lending entity
Whom did you borrow, or try to borrow, from?
v14_13 = 1
0
0
1
relatives/friends
2
agri. dev. bank
3
commercial bank
4
rural dev. bank
5
6
local group (dhukuti)
7
ngo or relief agency
8
other
{14.15} hiring done in past 12 months
Did you hire anyone over the past 12 months?
No [2] -> (14.17)
0
0
1
yes
2
no
{14.16} number of workers
How many workers do you normally hire, during a month when the enterprise is operating? NUMBER
v14_15 = 1
0
0
{14.17} problems in business operation
What problems, if any, do you have in running your business?
0
0
1
no major problem
2
capital or credit problems
3
lack of technical know-how
4
supply of power
5
problems with equipment or spare parts
6
lack of adequate labor
7
government regulations
8
lack of raw materials
9
lack of customers
10
transport problems
11
intimidation and labor unrest
12
supply of water
13
other
Enterprise code
0
0
{14.18} gross revenues
A - Gross revenues over the past 12 months (from sales), RUPEES
0
0
{14.19} expenditures on wages
B - Expenditures on wages both cash and in-kind, RUPEES
Write ZERO if nothing
0
0
{14.20} expenditure on fuel, electricity, etc.
C - Expenditure on fuel, kerosene, electricity, etc., RUPEES
Write ZERO if nothing
0
0
{14.21} a) expenditure on raw materials, cash
D - Expenditure on raw materials, Cash, RUPEES
Write ZERO if nothing
0
0
{14.21} b) expenditure on raw materials, in-kind
D - Expenditure on raw materials, In-kind, RUPEES
Write ZERO if nothing
0
0
{14.22} other operating expenses
E - Other operating expenses, RUPEES
Write ZERO if nothing
0
0
{14.23} net revenues
Net revenues, RUPEES
= A - (B + C +D + E)
0
0
= A - (B+C+D+E)
{14.24} expenditure on capital goods
Expenditure on capital goods over past 12 months, RUPEES
0
0
{14.25} sale of assets
Sale of assets over past 12 months, RUPEES
0
0
{14.26} current value of enterprise
If someone wanted to buy this enterprise today, how much would he have to pay? RUPEES
0
0
{14.27} year ago value of enterprise
And how much would he had to pay one year ago? RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Loan Number
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.02} loan description
Interviewer
Ask the respondent to first mention all the loans that need to be paid (or that has already been paid in case of the reference period) by the household.
Description of loan
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.03} id code of borrower
Who was the primary borrower in the household? ID CODE
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.04} loan obtained : month
When did you get the loan? MONTH
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.04} loan obtained : year
When did you get the loan? YEAR
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.05} obtained from
From whom did you obtain the loan?
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
1
relatives/friends
2
agri. dev. bank
3
commercial bank
4
rural dev. bank
5
other financial institution
6
ngo or relief agency
7
landlord/employer.
8
shopkeeper
9
money lender
10
co-operative
11
other
{15.06} purpose of borrowing
For what did you obtain the loan?
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
1
purchase of inputs
2
purchase of equipment
3
purchase of land
4
purchase of livestock
5
building improvements for business
6
other business or farm use
7
household consumption needs
8
purchase/improvement of dwelling
9
marriage/family events
10
consumer durables
11
to travel abroad
12
other personal use
{15.07} amount borrowed (rs.)
How much in total did you borrow? RUPEES
Include only the principal.
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.08} amount of interest (rs.)
What is/ was the interest or interest rate on the loan? RUPEES
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.08} interest rate (%)
What is/ was the interest or interest rate on the loan? PERCENT PER YEAR
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.09} repayment time : month
Did/ do you have to repay the loan by a particular time? MONTH
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.09} repayment time : year
Did/ do you have to repay the loan by a particular time? YEAR
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
{15.10} finished repaying loan
Have you repaid the lone over the last 12 months?
Not paid at all [3] -> (15.02)
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
1
fully paid
2
partly paid
3
not paid at all
{15.11} amount repaid (rs.)
How much Principal and interest in total have you repaid?
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1] & [15.10 = 1,2]
0
0
{15.12} collateral
What collateral did you use to secure the loan?
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
1
agricultural land
2
buildings or other property
3
gold/silver
4
property documents
5
personal guarantee
6
past borrowing record
7
other
8
no collateral
{15.13} days taken
How many days did it take to obtain the loan? DAYS
Count from the time you formally requester or applied for the loan to the time you received the money.
Households with members with outstanding loans or households that have contracted any loans over the past 12 months that have already been repaid [v15_01 = 1]
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Loan Number
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.15} loan description
Description of loan
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.16} id code of lender
Who was the primary lender in the household?
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.17} loan given : month
When was the loan made? MONTH
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.17} loan given : year
When was the loan made? YEAR
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.18} relationship to lender
What is the relationship of the borrower to the primary lender?
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
1
employee or tenant farmer
2
business customer
3
other business associate
4
friend/neighbour
5
relative
6
other
{15.19} purpose of lending
What was the primary purpose for which you lent the money?
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
1
purchase of agri.inputs
2
purchase of equipment
3
purchase of land
4
purchase of livestock
5
building improvements for business
6
other business or farm use
7
household consumption needs
8
purchase/improvement of dwelling
9
marriage/family events
10
consumer durables
11
to travel abroad
12
other personal use
{15.20} amount lent (rs.)
How much in total did you lend?
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
Loan Number
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.21} amount of interest
What is/was the interest or interest rate on the loan? RUPEES
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.21} interest rate (%)
What is/was the interest or interest rate on the loan? PERCENT PER YEAR
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.22} repayment time : month
When is/was the borrower scheduled to finish repaying the loan? MONTH
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.22} repayment time : year
When is/was the borrower scheduled to finish repaying the loan? YEAR
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
{15.23} finished repaying loan
Has the borrower finished repaying the loan?
Not paid at all [3] -> (15.25)
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
1
fully paid
2
partly paid
3
not paid at all
{15.24} amount repaid (rs.)
How much in total has been repaid on the loan? RUPEES
v15_23 = 1
0
0
{15.25} collateral
What collateral did you lend against?
Include only the principal
Households who have loans given loans to persons outside their households [v15_14= 1]
0
0
1
agricultural land
2
buildings or other property
3
gold/silver
4
property documents
5
personal guarantee
6
past borrowing record
7
other
8
no collateral
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{15.26} own other land or property
Does your household own any land or property?
(15.32)]]>
0
0
1
yes
2
no
{15.27} value of other property (rs.)
How much money would it (as mentioned in Q 15.26) cost to buy property like that owned by your household? RUPEES
Write ZERO if nothing
Households owning land or proerty [v15_26 = 1]
0
0
{15.28} value a year ago (rs.)
How much money would it (as mentioned in Q 15.26)have cost a year ago to buy the property that your household now owns? RUPEES
Write ZERO if nothing
Households owning land or proerty [v15_26 = 1]
0
0
{15.29} value of assets purchased (rs.)
How much did your household spend in total over the past 12 months in purchasing this property? RUPEES
Write ZERO if nothing
Households owning land or proerty [v15_26 = 1]
0
0
{15.30} value of sold assets (rs.)
How much did your household receive in total over the past 12 months from selling this property? RUPEES
Write ZERO if nothing
Households owning land or proerty [v15_26 = 1]
0
0
{15.31} rent received 12 months (rs.)
How much did your household receive in total over the past 12 months from renting this property to others? RUPEES
Write ZERO if nothing
Households owning land or proerty [v15_26 = 1]
0
0
{15.32} own other assets
Does your household own any other real assets?
PART D]]>
0
0
1
yes
2
no
{15.33} value of other assets (rs.)
How much money would it cost to buy assets (as mentioned in Q 15.32) like those owned by your household? RUPEES
Write ZERO if nothing
Households owning other assets [v15_32 = 1]
0
0
{15.34} value a year ago (rs.)
How much money would it have cost a year ago to buy the assets (as mentioned in Q 15.32) that your household now owns? RUPEES
Write ZERO if nothing
Households owning other assets [v15_32 = 1]
0
0
{15.35} value of assets purchased (rs.)
How much did your household spend in total over the past 12 months in purchasing these assets? RUPEES
Write ZERO if nothing
Households owning other assets [v15_32 = 1]
0
0
{15.36} value of sold assets (rs)
How much did your household receive in total over the past 12 months from selling these assets? RUPEES
Write ZERO if nothing
Households owning other assets [v15_32 = 1]
0
0
{15.37} rent received in 12 months (rs.)
How much did your household receive in total over the past 12 months from renting these assets to others? RUPEES
Write ZERO if nothing
Households owning other assets [v15_32 = 1]
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the NLSS3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
0
0
0
0
{15.39} have to make decision
During the last 12 months did your household have to make a decision on ..[TYPE OF DECISION]..?
No [2] -> NEXT DECISION
0
0
1
yes
2
no
{15.40} involvement in decision making
Were you involved in the most recent decision on ..[TYPE OF DECISION]..?
0
0
1
a lot
2
a little
3
not involved
{15.41} who made final decision
Who made the final decision on ..[TYPE OF DECISION]..?
0
0
1
me
2
my spouse/female head
3
both
4
other
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the NLSS3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line Number
Households with absentee members [v16_00 = 1]
0
0
List all the people that are not current household members but were household members sometime in the past and are expected to come back.
Name
Households with absentee members [v16_00 = 1]
0
0
{16.02} sex of absentees
Gender
Households with absentee members [v16_00 = 1]
0
0
1
male
2
female
{16.03} relation to hhld head
What is ..[PERSON].. relationship to the head of this household?
Households with absentee members [v16_00 = 1]
0
0
2
husband/wife
3
son/daughter
4
grandchild
5
father/mother
6
brother/sister
7
nephew/niece
8
son/daughter-in-law
9
brother/sister-in-law
10
father/mother-in-law
11
other family relative
12
servant, servant's relatives
13
tenat, tenant's relatives
14
other person not related
{16.04} age
How old is ..[PERSON].. now?
Age in completed years
Households with absentee members [v16_00 = 1]
0
0
{16.05} highest grade completed
What was the highest class that ..[PERSON].. completed?
Code "97" if does not know
Households with absentee members [v16_00 = 1]
0
0
0
nursery/kg/pre-school
1
class 01
2
class 02
3
class 03
4
class 04
5
class 05
6
class 06
7
class 07
8
class 08
9
class 09
10
class 10
11
slc
12
intermediate
13
bachelor
14
master
15
profesional degree
16
literate (levelless)
17
illiterate
97
don't know
{16.06} marital status
What's the ..[PERSON]..'s marital staus?
Households with absentee members [v16_00 = 1]
0
0
1
never married
2
single married
3
poly married
4
re-married
5
widow, widower
6
divorced
7
separated
8
don't know
{16.07} when leave this hhld
How many years ago did ..[PERSON].. leave the household?
If less than 1 write "0"
Households with absentee members [v16_00 = 1]
0
0
99
birth at there
{16.08} current place of living - district/foreign
Where does ..[PERSON].. live now? DISTRICT/ COUNTRY
Households with absentee members [v16_00 = 1]
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hongkong
86
malaysia
87
japan
88
saudi arabia
89
qatar
90
united arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{16.08} current place of living - urban/rural
Is it an urban or rural area? U/R
Households with absentee members [v16_00 = 1]
0
0
1
urban
2
rural
{16.09} reason for leaving
What is the main resaon why ..[PERSON].. left this household?
Households with absentee members [v16_00 = 1]
0
0
1
together family/relatives
2
other family reasons
3
education
4
training
5
looking for work
6
start new job
7
start new business
8
job transfer
9
conflict
10
natural disaster
11
easier life style
12
other
Line Number
Households with absentee members [v16_00 = 1]
0
0
{16.10} primary activity [nsco]
What is ..[PERSON]..'s primary activity now?
(16.13)
If Don't Know write "995"]]>
Households with absentee members [v16_00 = 1]
0
0
11
armed forces
111
legislators
112
government officials
114
officials of special interest organizations
121
directors and chief executives
122
production and operations department managers
123
other department managers
131
general managers/managing proprietors
211
physicists, chemists and related professionals
212
mathematicians, statisticians and related professionals
213
computing professionals
214
architects, engineers and related professionals
221
life science professionals
222
health professionals, except nursing
223
nursing and midwifery professionals
231
college, university and higher education teaching professionals
232
secondary education teaching professionals
233
primary and pre-primary education teaching professionals
234
special education teaching professionals
235
other teaching professionals
241
business professionals
242
legal professionals
243
archivists, librarians and related information professionals
244
social science and related professionals
245
writers and creative or performing artists
246
religious professionals
311
physical and engineering science technicians
312
computer associate professionals
313
optical and electronic equipment operators
314
aircraft controllers and technicians
315
safety and quality inspectors
321
life science technicians and related associate professionals
322
modern health associate professional, except nursing
323
nursing and midwifery associate professionals
324
traditional medicine practitioners and faith healers
331
primary education teaching associate professionals
332
pre-primary education teaching associate professionals
333
special education teaching associate professionals
334
other teaching associate professionals
341
finance and sales associate professionals
342
business services agent and trade brokers
343
administrative associate professionals
344
customs, tax and related government associate professionals
345
police inspectors and detectives
346
social work associate professionals
347
artistic, entertainment and soprts associate professionals
348
religious associate professionals
411
secretaries and keyboard-operating clerks/assistants
412
numerical clerks/office assistants
413
material-recording and transport clerks/office assistants
414
library, mail and related clerks/office assistants
419
other office clerks/assistants
421
cashiers, tellers and related clerks/office assistants
422
client information clerks/office assistants
511
travel attendants and related workers
512
housekeeping and restaurant services workers
513
personal care and related workers
514
other professional services workers
515
astrologers, fortune-tellers and related workers
516
protective service workers
521
fashion and other models
522
shop salespersons and demonstratotrs
523
stall and market salespersons
611
market-oriented gardeners and crop growers
612
market-oriented animal producers and related workers
613
market-oriented crop and animal producers
614
forestry and related workers
615
fishery workers
621
subsistence agricultural and fishery workers
711
miners, shoftirers, stone cutters and carvers
712
building frame and related trades workers
713
building finishers and related trades workers
714
painters, building structure cleaners and related trades workers
721
metal moulders, welders, sheet-metal workers, structural-metal preparer
722
blacksmiths, tool-makers and related trades workers
723
machinery mechanics and fitters
724
electrical and electronic equipment mechanics and fitters
731
precision workers in metal and related materials
732
potters, glass-makers and related trades workers
733
handicraft workers in wood, textile, leather and related materials
734
printing and related trades workers
741
food processing and related trades workers
742
wood treaters, cabinet-makers and related traders workers
743
textile, garment and related trades workers
744
pelt, leather and shoe making trades workers
811
mining and mineral-processing plant operators
812
metal-processing-plant operators
813
glass, ceramics and relative plant operators
814
wood-processing and papermaking-plant operators
815
chemical-processing-plant operators
816
power-production and related plant operators
817
automated-assembly-line and industrial-robot operators
821
metal and mineral products machine operators
822
chemical-products machine operators
823
rubber and plastic products machine operators
824
wood-products machine operators
825
printing, binding and paper products machine operators
826
textile, fur and leather-products machine operators
827
food and related products machine operators
828
assemblers
829
other machine operators and assemblers
831
locomotive-engine drivers and related workers
832
motor vehicle drivers
833
agricultural and other mobile-plant operators
911
street vendors and related workers
912
shoe cleaning and other street services elementary occupations
913
domestic and related helpers, cleaners and launderers
914
building caretakers, windows and related cleaners
915
messengers, porters, doorkeepers and related workers
916
garbage collectors and related labourers
921
agricultural, fishery and related labourers
931
mining and construction labourers
932
manufacturing labourers
933
transport labourers and freight handlers
995
don't know
996
household work
997
student
998
not working
999
not reported
{16.11} type of job
What's ..[PERSON].. type of job?
Households with absentee members [v16_00 = 1]
0
0
1
wage job
2
self-employed
3
ext. economic work
4
don't know
{16.12} how find current job
How did ..[PERSON].. find current job?
Households with absentee members [v16_00 = 1]
0
0
1
relatives
2
friends/ neighbors
3
employment agency
4
other
5
don't know
{16.13} received money or goods
During the past 12 months, have the members of thishousehold received money or goods from..[PERSON]..?
No [2] -> (16.19)
Households with absentee members [v16_00 = 1]
0
0
1
yes
2
no
{16.14} no. of times received
How many times did the members of this household receive money or goods from ..[PERSON].. during the past 12 months? TIMES
v16_13 = 1
0
0
{16.15} methods of sending
How did ..[PERSON].. send you most of the money or good during the past 12 months?
v16_13 = 1
0
0
1
formal financial institutions
2
hundi
3
self
4
through friends
5
through other family members/relatives
6
through acquaintances
7
others
{16.16} cash receive (rs.)
How much money did the household members receive from ..[PERSON].. during the past 12 months? RUPEES
Write ZERO if nothing
v16_13 = 1
0
0
{16.17} in-kind receive (rs.)
What is the value of all goods received by the household members from ..[PERSON].. during the past 12 months? RUPEES
Write ZERO if nothing
v16_13 = 1
0
0
{16.18} major use of remittance : first
What was the use of the remittances received from ..[PERSON].. during the past 12 months? FIRST
The TWO most important
v16_13 = 1
0
0
1
daily consumption
2
education
3
capital formation
4
business or investment
5
household assets
6
savings
7
repay loan
8
others
{16.18} major use of remittance : second
What was the use of the remittances received from ..[PERSON].. during the past 12 months? SECOND
The TWO most important
v16_13 = 1
0
0
1
daily consumption
2
education
3
capital formation
4
business or investment
5
household assets
6
savings
7
repay loan
8
others
{16.19} total amount sent (rs.)
How much in total has been sent by the household members to ..[PERSON].. during the past 12 months? RUPEES
Households with absentee members [v16_00 = 1]
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line Number
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
{17.02} respondent id-code
ID Code of Respondent
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
{17.03} name of recipient
What are the names of the people to whom members of your household have sent money or goods during the past 12 months? NAMES
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
{17.04} id code of remittance sender
Who in your household is primarily responsible for sending this assistance? ID CODE OF RESPONDENT
Write ID Code from Section 1A
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
{17.05} relationship to the recipient
What is the relationship of the ..[RECIPIENT].. to the donor?
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
2
husband/wife
3
son/daughter
4
grandchild
5
father/mother
6
brother/sister
7
nephew/niece
8
son/daughter-in-law
9
brother/sister-in-law
10
father/mother-in-law
11
other family relative
12
servant, servant's relative
13
tenant, tenant's relatives
14
other person not related
{17.06} sex of recipient
What is the sex of the ..[RECIPIENT]..?
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
1
male
2
female
{17.07} place of living - district/country
Where does the ..[RECIPIENT].. currently live? DISTRICT/ COUNTRY
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hongkong
86
malaysia
87
japan
88
saudi arabia
89
qatar
90
united arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{17.07} place of living - urban/rural
Is it an urban or rural area? U/R
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
1
urban
2
rural
{17.08} primary work activity of recipient
What is the ..[RECIPIENT]..’s primary work activity?
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
1
wage employee in agri.
2
wage employee in non-agri.
3
self employee in agri.
4
self employee in non-agri.
5
study
6
other
7
don't know
{17.09} cash sent (rs.)
How much in total did you send to ..[RECIPIENT].. over the past 12 months? CASH
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
{17.09} in-kind sent (rs.)
How much in total did you send to ..[RECIPIENT].. over the past 12 months? IN-KIND
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
[17.10} how usually send the amount
How did the ..[DONOR].. usually send the amount?
Households with members who sent money to persons not part of their households [v17_01 = 1]
0
0
1
formal financial institutions
2
hundi
3
self
4
through friends
5
through other family members/relatives
6
through acquaintances
7
others
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Line Number
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.12} respondent id code
ID Code of Respondent
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.13} name of donor
What are the names of all the people who sent you money or goods during the past 12 months? NAMES
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.14} id code of remittance receiver
Who in your household is primarily responsible for receiving this assistance? ID CODE
Write ID Code from Section 1A
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.15} relationship to the recipient
What is the relationship of the ..[DONOR].. to the recipient?
Use codes from question (17.05)
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
2
husband/wife
3
son/daughter
4
grandchild
5
father/mother
6
brother/sister
7
nephew/niece
8
son/daughter-in-law
9
brother/sister-in-law
10
father/mother-in-law
11
other family relative
12
servant, servant's relative
13
tenant, tenant's relatives
14
other person not related
{17.16} sex of donor
What is the sex of the ..[DONOR]..?
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
1
male
2
female
{17.17} age of donor
What is the age of the ..[DONOR]..?
Write completed years
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.18} place of residence - district/country
Where does the ..[DONOR].. currently live? DISTRICT/ COUNTRY
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hongkong
86
malaysia
87
japan
88
saudi arabia
89
qatar
90
united arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{17.18} place of residence- urban/rural
Is it an urban or rural area? U/R
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
1
urban
2
rural
{17.19} primary work activity
What is the .[DONOR].’s primary work activity?
Use codes from question (17.18)
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
1
wage employee in agri.
2
wage employee in non-agri.
3
self employee in agri.
4
self employee in non-agri.
5
study
6
other
7
don't know
{17.20} cash received (rs.)
How much in total did you receive from. ..[DONOR].. over the past 12 months? CASH
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.20} in-kind received (rs.)
How much in total did you receive from. ..[DONOR].. over the past 12 months? IN-KIND
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
{17.21 } how usually send the amount
How did the ..[DONOR].. usually send the amount?
Use codes from question (17.10)
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
1
formal financial institutions
2
hundi
3
self
4
through friends
5
through other family members/relatives
6
through acquaintances
7
others
{17.22 } major use of remittance : first
What was the use of the remittances received from …[DONOR].. during the past 12 months? FIRST
The TWO most important
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
1
daily consumption
2
education
3
capital formation
4
business or investment
5
household assets
6
savings
7
repay loan
8
others
{17.22 } major use of remittance : second
What was the use of the remittances received from …[DONOR].. during the past 12 months? SECOND
The TWO most important
Households that have received money /payments from persons not members of their households [v17_11 = 1]
0
0
0
!end-of-list!
1
daily consumption
2
education
3
capital formation
4
business or investment
5
household assets
6
savings
7
repay loan
8
others
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{18.00} source
Source
0
0
1
old age pension
2
widow pension
3
disability allowance
4
endangered ethnicities pension
5
maternal incentive scheme
6
martyr's family benefits
7
people's movement victims benefits
{18.00} source description
0
0
{18.01} hhld member receive payment
Did any of the household members receive payment from ..[SOURCE].. during the past 12 months?
NEXT SOURCE
Not Applicable [3] -> NEXT SOURCE]]>
0
0
1
yes
2
no
3
not applicable
{18.02} no. of persons receiving
How many household members are receiving the payments from ..[SOURCE]..? NUMBER
0
0
{18.03} how frequently
How frequently are the household members supposed to receive the payments from ..[SOURCE]..? PERIOD
0
0
1
monthly
2
quarterly
3
half yearly
4
yearly
5
once only
{18.04} amount is supposed to receive (rs)
Over that [PERIOD] how much are the household members supposed to received from ..[SOURCE]..? RUPEES
0
0
9999
don't know
{18.05} month ago last payment received
How many months ago did the household members receive THE LAST payment from ..[SOURCE]..? MONTHS AGO
Write "999" if Don't Know
0
0
999
don't know
How much from ..[SOURCE].. was actually received last time? RUPEES
Please provide approximate monetary value for in-kind payments.
0
0
{18.07} no.of months due
How many months was this payment for? MONTHS
0
0
{18.08} anyone currently payment
Is anyone currently owed payment?
No [2] -> NEXT SOURCE
0
0
1
yes
2
no
{18.09} total amount owed
What is the total amount owed? RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{18.10} 1) receive public food distrb. system
Did any of the household members participate in or receive any benefits from ..[PROGRAM].. during the past 12 months?
0
0
1
yes
2
no
{18.10} 2) receive nutritional program for children
Did any of the household members participate in or receive any benefits from ..[PROGRAM].. during the past 12 months?
0
0
1
yes
2
no
{18.10} 3) receive nutritional program for mother
Did any of the household members participate in or receive any benefits from ..[PROGRAM].. during the past 12 months?
0
0
1
yes
2
no
{18.10} 4) receive food for work
Did any of the household members participate in or receive any benefits from ..[PROGRAM].. during the past 12 months?
0
0
1
yes
2
no
{18.10} 5) receive cash for work
Did any of the household members participate in or receive any benefits from ..[PROGRAM].. during the past 12 months?
0
0
1
yes
2
no
{18.10} 6) receive rciwp programme
Did any of the household members participate in or receive any benefits from ..[PROGRAM].. during the past 12 months?
0
0
1
yes
2
no
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{18.11} other income code
Income Code
0
0
1
current/savings account
2
fixed deposit
3
stocks, shares, treasury bills, etc.
4
employee provident fund/citizen investment fund
5
internal pension
6
external pension
7
commission fee, royalties, etc.
8
other
9
total
{18.11} other income description
Put a tick in the appropriate box for all items. if the answer is YES, ask Q. (18.12) to (18.14).
ITEM
0
0
{18.11} having income
Put a tick in the appropriate box for all items. if the answer is YES, ask Q. (18.12) to (18.14).
NO/ YES
0
0
1
yes
2
no
{18.12} current amount/value (rs.)
What is the current value of the .[ITEM]. that the household owns? RUPEES
0
0
{18.13} amount/value a year ago
And what was the value of the .[ITEM]. one year ago? RUPEES
0
0
How much has the household received from ..[ITEM].. in the past 12 months? (interest, dividends, profit, payments, etc.) RUPEES
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{19.02} opinion on food consumption
I would like to ask your opinion of your family's standard of living.
0
0
1
less than adequate
2
just adequate
3
more than adequate
4
not applicable
{19.03} opinion on housing
I would like to ask your opinion of your family's standard of living.
Concerning your family's housing, which of the following is true?
0
0
1
less than adequate
2
just adequate
3
more than adequate
4
not applicable
{19.04} opinion on clothing
I would like to ask your opinion of your family's standard of living.
Concerning your family's clothing, which of the following is true?
0
0
1
less than adequate
2
just adequate
3
more than adequate
4
not applicable
{19.05} opinion on health care getting
I would like to ask your opinion of your family's standard of living.
Concerning the health care your familygets, which of the following is true?
0
0
1
less than adequate
2
just adequate
3
more than adequate
4
not applicable
{19.06} opinion on children's schooling
I would like to ask your opinion of your family's standard of living.
Concerning your children's schooling, which of the following is true?
0
0
1
less than adequate
2
just adequate
3
more than adequate
4
not applicable
{19.07} opinion on family's total income
I would like to ask your opinion of your family's standard of living.
Concerning your family's total income over the past one month, which of the following is true?
0
0
1
less than adequate
2
just adequate
3
more than adequate
4
not applicable
{19.08} eats too little food to live
If the answer to Q. (19.02) is "1", ask:
Do you consider that you, or any member of your family eats too little food to live a healthy and active life?
0
0
1
yes
2
no
{19.09} status of health facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
0
0
1
good
2
fair
3
bad
4
not applicable
{19.10} status of education facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
How do you take the education facilities consuming by your household?
0
0
1
good
2
fair
3
bad
4
not applicable
{19.11} status of drinking water facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
How do you take the drinking water facilities consuming by your household?
0
0
1
good
2
fair
3
bad
4
not applicable
{19.12} status of electricity facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
How do you take the electricity facilities consuming by your household?
0
0
1
good
2
fair
3
bad
4
not applicable
{19.13} status of road facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
How do you take the road facilities consuming by your household?
0
0
1
good
2
fair
3
bad
4
not applicable
{19.14} status of postal facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
How do you take the postal facilities consuming by your household?
0
0
1
good
2
fair
3
bad
4
not applicable
{19.15} status of telephone facility
Now, I would like to ask your opinion about the condition of government facilities your household is consuming.
How do you take the telephone facilities consuming by your household?
0
0
1
good
2
fair
3
bad
4
not applicable
{19.16} enough food or money to buy food
In the past 30 day, have there been times when the household members didn't have enough food or money to buy food?
No [2] -> NEXT SECTION
0
0
1
yes
2
no
{19.17} no.of days facing scarcity
During the past 30 days, how many days has the household experienced this problem?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
{19.18} 1) rely on less preferred/expensive foods
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to rely on less preferred and less expensive foods?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 2) borrow food or money
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to borrow food or money, or rely on help from friends or relatives?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 3) purchase food on credit
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to purchase food on credit?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 4) gather wild food/eat unmature crops
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to gather wild food, hut or harvest immature crops?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 5) consume seed stock
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to consume seed stock held for next season?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 6) send hhld member to eat elsewhere
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to send household members to eat elsewhere?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 7) send hhld member to beg
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to send household members to beg?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 8) limit portion sizes at mealtime
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to limit portion sizes at mealtimes?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 9) restrict consumption of adults
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to restrict consumption of adults so children can eat?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 10) feed working members of hhld
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to feed working members of household at the expense of non-working household members?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 11) ration the money
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to ration the money you had and buy prepared food?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 12) reduced the meals eaten in a day
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to reduce the number of meals eaten in a day?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 13) skip entire days without eating
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to skip entire days without eating?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
{19.18} 14) sell assets, jewelry
During the past 30 days, when your household didn't have enough food or money to buy food, has your household had to sell assets, jewelry to purchase food?
Households that did didn't have enough food or money to buy food [v19_16 = 1]
0
0
1
yes
2
no
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
Exact age of the child
Identification Code
Children 59 months and less
0
0
{20.01} has birth certificate
Exact age of the child
Is there a birth certificate of ..[NAME]..?
Children 59 months and less
0
0
1
yes
2
no
{20.02} date of birth/day
Exact age of the child
Children 59 months and less
0
0
{20.02} date of birth/month
Exact age of the child
Children 59 months and less
0
0
1
january
2
february
3
march
4
april
5
may
6
june
7
july
8
august
9
september
10
october
11
november
12
december
{20.02} date of birth/year
Exact age of the child
Children 59 months and less
0
0
{20.03} age in months
Exact age of the child
Children 59 months and less
0
0
{20.04} measurement finished
Interviewer
Result
Result of the Measurement
(20.09)
Too ill or disabled [3] -> (20.09)
Refused [4] -> (20.09)
Other [5] -> (20.09)]]>
Children 59 months and less
0
0
1
yes
2
could not meet the child after multiple visits
3
too ill or disabled
4
refused
5
other
{20.05} height (cms, 1 decimal)
Interviewer
Anthropometric Measurements
Record height in centimeters
Children 59 months and less
0
0
{20.06} way was measured
Interviewer
Anthropometric Measurements
Record method for measuring height
v20_25 = 1
0
0
1
standing
2
lying
{20.07} weight (kgs, 1 decimal)
Interviewer
Anthropometric Measurements
Record weight in kilograms
v20_25 = 1
0
0
{20.08} date of measurement/day
Interviewer
Anthropometric Measurements
Date of Measurement - Day
v20_25 = 1
0
0
{20.08} date of measurement/month
Anthropometric Measurements
Date of Measurement - Month
v20_25 = 1
0
0
1
january
2
february
3
march
4
april
5
may
6
june
7
july
8
august
9
september
10
october
11
november
12
december
{20.08} date of measurement/year
Anthropometric Measurements
Date of Measurement
v20_25 = 1
0
0
{20.09} did breastfeed
Breastfeeding Practices
Was ..[NAME].. exclusively breastfed until 6 months of age?
Children 59 months and less
0
0
1
yes
2
no
{20.10} months breastfeeding
Breastfeeding Practices
How many months was ..[NAME]..breastfed? MONTHS
Children 59 months and less
0
0
0
less than one month (or age less than 1 month)
90
did not breastfeed
{20.11} months after birth was given complimentary food
Breastfeeding Practices
After how many months did ..[NAME]..start receiving complimentary food? MONTHS
Writ "90" if not receiving yet
Children 59 months and less
0
0
0
less than one month
90
not yet
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the NLSS3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
PSU geo-codes: District
District
0
0
1
Taplejung
2
Panchthar
3
Ilam
4
Jhapa
5
Morang
6
Sunsari
7
Dhankuta
8
Terhathum
9
Sankhuwasabha
10
Bhojpur
11
Solukhumbu
12
Okhaldhunga
13
Khotang
14
Udayapur
15
Saptari
16
Siraha
17
Dhanusa
18
Mahottari
19
Sarlahi
20
Sindhuli
21
Ramechhap
22
Dolakha
23
Sindhupalchok
24
Kavre
25
Lalitpur
26
Bhaktapur
27
Kathmandu
28
Nuwakot
29
Rasuwa
30
Dhading
31
Makwanpur
32
Rautahat
33
Bara
34
Parsa
35
Chitawan
36
Gorkha
37
Lamjung
38
Tanahu
39
Syangja
40
Kaski
41
Manang
42
Mustang
43
Myagdi
44
Parbat
45
Baglung
46
Gulmi
47
Palpa
48
Nawalparasi
49
Rupandehi
50
Kapilbastu
51
Arghakhanchi
52
Pyuthan
53
Rolpa
54
Rukum
55
Salyan
56
Dang
57
Banke
58
Bardiya
59
Surkhet
60
Dailekh
61
Jajarkot
62
Dolpa
63
Jumla
64
Kalikot
65
Mugu
66
Humla
67
Bajura
68
Bajhang
69
Achham
70
Doti
71
Kailali
72
Kanchanpur
73
Dadeldhura
74
Baitadi
75
Darchula
PSU geo-codes: District, description
District
0
0
PSU geo-codes: Ward
Ward
0
0
PSU geo-codes: Subward
Sub-ward
0
0
PSU geo-codes: VDC/municipality
VDC
0
0
PSU geo-codes: VDC/municipality, description
VDC
0
0
Serial number
PSU Serial No.
0
0
{21.01} the household is in the NLSS1/NLSS2 form
Is this household in the NLSS-01 or NLSS- 02 form?
0
0
1
Yes
2
No
{21.02} the household was found in the NLSS3 fieldwork
Was this household found?
Yes [1] -> 27.10
0
0
1
Yes
2
No
{21.03} reason not found
Reason why not found
21.05
Other [3] -> NEXT HH]]>
0
0
1
Moved
2
Other
3
Don't know
{21.04} a: where-when did the Household move, district
Where and when did the HH move? DISTRICT CODE
v21_03 = 1
0
0
1
Taplejung
2
Panchthar
3
Ilam
4
Jhapa
5
Morang
6
Sunsari
7
Dhankuta
8
Terhathum
9
Sankhuwasabha
10
Bhojpur
11
Solukhumbu
12
Okhaldhunga
13
Khotang
14
Udayapur
15
Saptari
16
Siraha
17
Dhanusa
18
Mahottari
19
Sarlahi
20
Sindhuli
21
Ramechhap
22
Dolakha
23
Sindhupalchok
24
Kavre
25
Lalitpur
26
Bhaktapur
27
Kathmandu
28
Nuwakot
29
Rasuwa
30
Dhading
31
Makwanpur
32
Rautahat
33
Bara
34
Parsa
35
Chitawan
36
Gorkha
37
Lamjung
38
Tanahu
39
Syangja
40
Kaski
41
Manang
42
Mustang
43
Myagdi
44
Parbat
45
Baglung
46
Gulmi
47
Palpa
48
Nawalparasi
49
Rupandehi
50
Kapilbastu
51
Arghakhanchi
52
Pyuthan
53
Rolpa
54
Rukum
55
Salyan
56
Dang
57
Banke
58
Bardiya
59
Surkhet
60
Dailekh
61
Jajarkot
62
Dolpa
63
Jumla
64
Kalikot
65
Mugu
66
Humla
67
Bajura
68
Bajhang
69
Achham
70
Doti
71
Kailali
72
Kanchanpur
73
Dadeldhura
74
Baitadi
75
Darchula
81
India
82
Bhutan
83
China
84
Bangladesh
85
Hong Knog
86
Malaysia
87
Japan
88
Saudi Arabia
89
Qatar
90
Unites Arab Emirates
91
United Kingdom
92
United States of America
93
South korea
94
Australia
95
Israel
96
Other country
{21.04} b: where-when did the Household move, zone U/R
Where and when did the HH move? U/R
v21_03 = 1
0
0
1
Urban
2
Rural
{21.04} c: Where-when did the Household move, year
Where and when did the HH move? YEAR
v21_03 = 1
0
0
{21.05} respondent for the reason not found
Who stated this reason?
-> NEXT HOUSEHOLD
0
0
1
Relative
2
Neighbor
3
Knowledgeable person
4
Other
{21-NUM} number of household members (in 2002)
0
0
primary sampling unit
Primary sampling unit
0
0
household number
Household number
0
0
stratum in the nlss3 sample
Stratum in the NLSS3 sample
0
0
100
100/mountain
218
218/urban-kathmandu valley
219
219/urban-hill
221
221/rural-hill-eastern
222
222/rural-hill-central
223
223/rural-hill-western
224
224/rural-hill-mid-western
225
225/rural-hill-far-western
310
310/urban-terai
321
321/rural-terai-eastern
322
322/rural-terai-central
323
323/rural-terai-western
324
324/rural-terai-mid-western
325
325/rural-terai-far-western
{21_pid} id code (in 2002)
ID Code in 2002
0
0
{21_06} name
Name
0
0
{21_07} sex
Sex
0
0
1
male
2
female
{21.08} relationship to head
Relationship to the head of the household in 2002
0
0
1
head
2
husband/wife
3
son/daughter
4
grandchild
5
father/mother
6
brother/sister
7
nephew/niece
8
son/daughter-in-law
9
brother/sister-in-law
10
father/mother-in-law
11
other family relative
12
servant/servant's relatives
13
tenant/tenant's relatives
14
other non related
{21.09} age (in 1996/2002)
Age in 1995/96 or 2003/04
0
0
{21_10} in 2010: new person in the household roster
Is this person in the nuew household roster?
No [2] -> 21.12
0
0
1
yes
2
no
{21_11} in 2010: id-code the new household roster
Write the ID Code of this person in the new roster.
ID Code
-> NEXT PERSON
v21_10 = 1
0
0
{21_12} in 2010: reason this person is not in the household
Wh is this person not in the household now?
21.14
Other reason [6] -> 21.14]]>
0
0
1
died
2
household split
3
moved for work
4
moved due to marriage
5
moved for studies
6
other
{21_13} in 2010: current residence, same psu
Where is this person living now? Is it in this same PSU?
v21_12 = 1, 6
0
0
1
yes
2
no
{21_13} in 2010: a: current residence, district
Where is this person living now? In what district or country is this person living now?
v21_12 = 1, 6
0
0
1
taplejung
2
panchthar
3
ilam
4
jhapa
5
morang
6
sunsari
7
dhankuta
8
terhathum
9
sankhuwasabha
10
bhojpur
11
solukhumbu
12
okhaldhunga
13
khotang
14
udayapur
15
saptari
16
siraha
17
dhanusa
18
mahottari
19
sarlahi
20
sindhuli
21
ramechhap
22
dolakha
23
sindhupalchok
24
kavre
25
lalitpur
26
bhaktapur
27
kathmandu
28
nuwakot
29
rasuwa
30
dhading
31
makwanpur
32
rautahat
33
bara
34
parsa
35
chitawan
36
gorkha
37
lamjung
38
tanahu
39
syangja
40
kaski
41
manang
42
mustang
43
myagdi
44
parbat
45
baglung
46
gulmi
47
palpa
48
nawalparasi
49
rupandehi
50
kapilbastu
51
arghakhanchi
52
pyuthan
53
rolpa
54
rukum
55
salyan
56
dang
57
banke
58
bardiya
59
surkhet
60
dailekh
61
jajarkot
62
dolpa
63
jumla
64
kalikot
65
mugu
66
humla
67
bajura
68
bajhang
69
achham
70
doti
71
kailali
72
kanchanpur
73
dadeldhura
74
baitadi
75
darchula
81
india
82
bhutan
83
china
84
bangladesh
85
hong knog
86
malaysia
87
japan
88
saudi arabia
89
qatar
90
unites arab emirates
91
united kingdom
92
united states of america
93
south korea
94
australia
95
israel
96
other country
{21_13} in 2010: b: current residence, zone u/r
Is it an urban or rural area?
v21_12 = 1, 6
0
0
1
urban
2
rural
{21_14} year this person did die or move
When did this person die or move?
0
0