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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F9]
lsms

National Panel Survey 2014-2015, Wave 4

Tanzania, 2014 - 2015
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Reference ID
TZA_2014_NPS-R4_v03_M
DOI
https://doi.org/10.48529/y3qj-d018
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jul 17, 2017
Last modified
Jan 30, 2020
Page views
372809
Downloads
114537
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • ag_filters
  • ag_network
  • ag_sec_01
  • ag_sec_2a
  • ag_sec_2b
  • ag_sec_3a
  • ag_sec_3b
  • ag_sec_4a
  • ag_sec_4b
  • ag_sec_5a
  • ag_sec_5b
  • ag_sec_6a
  • ag_sec_6b
  • ag_sec_7a
  • ag_sec_7b
  • ag_sec_10
  • ag_sec_11
  • ag_sec_12a
  • ag_sec_12b
  • ag_sec_a
  • hh_filters
  • hh_sec_a
  • hh_sec_b
  • hh_sec_c
  • hh_sec_d
  • hh_sec_e
  • hh_sec_f
  • hh_sec_g
  • hh_sec_h
  • hh_sec_i
  • hh_sec_j1
  • hh_sec_j3
  • hh_sec_j4
  • hh_sec_k
  • hh_sec_l
  • hh_sec_m
  • hh_sec_n
  • hh_sec_o1
  • hh_sec_o2
  • hh_sec_p
  • hh_sec_q1
  • hh_sec_q2
  • hh_sec_r
  • hh_sec_s
  • hh_sec_u2
  • hh_sec_v
  • lf_filters
  • lf_network
  • lf_sec_01
  • lf_sec_02
  • lf_sec_03
  • lf_sec_04
  • lf_sec_05
  • lf_sec_06
  • lf_sec_07
  • lf_sec_08
  • lf_sec_09
  • lf_sec_11a
  • lf_sec_11b
  • lf_sec_12
  • lf_sec_13a
  • lf_sec_13b
  • lf_sec_a
  • npsy4.child.anthro
  • npsy4.ea.offset
  • LF_SEC_10
  • com_sec_a1a2
  • com_sec_cb
  • com_sec_cc
  • com_sec_cd
  • com_sec_ce
  • com_sec_cf
  • com_sec_cf_id
  • com_sec_cg
  • consumptionNPS4

CROP CODE (zaocode)

Data file: ag_sec_4b

Overview

Valid: 1287
Invalid: 2848
Minimum: 11
Maximum: 998
Type: Discrete
Decimal: 0
Start: 13
End: 15
Width: 3
Range: 11 - 998
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 maize 571
44.4%
12 paddy 19
1.5%
13 sorghum 26
2%
14 BULRUSH MILLET 0
0%
15 FINGER MILLET 3
0.2%
16 wheat 0
0%
17 barley 0
0%
18 BLACK PEPPER 0
0%
19 seaweed 1
0.1%
21 cassava 0
0%
22 SWEET POTATOES 84
6.5%
23 IRISH POTATOES 28
2.2%
24 yams 11
0.9%
25 cocoyams 51
4%
26 onions 2
0.2%
27 ginger 2
0.2%
31 beans 302
23.5%
32 cowpeas 28
2.2%
33 GREEN GRAM 21
1.6%
34 PIGEON PEA 8
0.6%
35 CHICK PEAS 1
0.1%
36 BAMBARA NUTS 2
0.2%
37 FIELD PEAS 1
0.1%
38 MALAY APPLE 0
0%
39 STAR FRUIT 0
0%
41 sunflower 4
0.3%
42 sesame 2
0.2%
43 groundnut 51
4%
44 PALM OIL 0
0%
45 coconut 0
0%
46 CASHEW NUT 0
0%
47 soyabeans 0
0%
48 CASTER SEED 0
0%
50 cotton 8
0.6%
51 tobacco 2
0.2%
52 pyrethrum 0
0%
53 sisal 0
0%
54 coffee 0
0%
55 tea 0
0%
56 cocoa 0
0%
57 rubber 0
0%
58 wattle 0
0%
59 kapok 0
0%
60 SUGAR CANE 0
0%
61 cardamom 0
0%
62 jute 0
0%
63 tamarind 0
0%
64 cinnamon 0
0%
65 nutmeg 0
0%
66 clove 0
0%
67 BREAD FRUIT 0
0%
68 pomelo 0
0%
69 JACK FRUIT 0
0%
70 PASSION FRUIT 0
0%
71 banana 1
0.1%
72 avocado 0
0%
73 mango 0
0%
74 papaw 0
0%
75 pineapple 0
0%
76 orange 0
0%
77 grapefruit 0
0%
78 grapes 0
0%
79 mandarin 0
0%
80 guava 0
0%
81 plums 0
0%
82 apples 0
0%
83 pears 0
0%
84 peaches 0
0%
86 cabbage 2
0.2%
87 tomatoes 15
1.2%
88 spinach 5
0.4%
89 carrot 2
0.2%
90 chilies 1
0.1%
91 amaranths 8
0.6%
92 pumpkins 7
0.5%
93 cucumber 1
0.1%
94 EGG PLANT 2
0.2%
95 WATER MELLON 2
0.2%
96 cauliflower 0
0%
97 durian 0
0%
98 bilimbi 0
0%
99 rambutan 0
0%
100 okra 2
0.2%
101 fiwi 0
0%
200 CUSTARD APPLE 0
0%
201 GOD FRUIT 0
0%
202 mitobo 0
0%
203 plum 0
0%
204 peaches 0
0%
205 pomegranate 0
0%
210 date 0
0%
211 tungamaa 0
0%
212 vanilla 0
0%
300 GREEN TOMATO 0
0%
301 monkeybread 0
0%
302 bamboo 0
0%
303 FIREWOOD/FODDER 0
0%
304 timber 0
0%
305 MEDICINAL PLANT 0
0%
306 FENCE TREE 0
0%
851 lime 0
0%
852 lemon 0
0%
998 OTHER (SPECIFY) 11
0.9%
Sysmiss 2848
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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