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    Home / Central Data Catalog / LSMS / TZA_2014_NPS-R4_V03_M / variable [F6]
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
227476
Downloads
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  • Study Description
  • Data Description
  • Documentation
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  • 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

What was the main crop cultivated on this plot in long rainy season 2014 (CODE)? (ag3a_07_2)

Data file: ag_sec_3a

Overview

Valid: 3930
Invalid: 1607
Minimum: 11
Maximum: 998
Type: Discrete
Decimal: 0
Start: 62
End: 64
Width: 3
Range: 11 - 998
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 maize 1753
44.6%
12 paddy 429
10.9%
13 sorghum 103
2.6%
14 BULRUSH MILLET 5
0.1%
15 FINGER MILLET 9
0.2%
16 wheat 5
0.1%
17 barley 0
0%
18 BLACK PEPPER 0
0%
19 seaweed 3
0.1%
21 cassava 355
9%
22 SWEET POTATOES 88
2.2%
23 IRISH POTATOES 23
0.6%
24 yams 4
0.1%
25 cocoyams 15
0.4%
26 onions 5
0.1%
27 ginger 1
0%
31 beans 170
4.3%
32 cowpeas 7
0.2%
33 GREEN GRAM 6
0.2%
34 PIGEON PEA 20
0.5%
35 CHICK PEAS 10
0.3%
36 BAMBARA NUTS 14
0.4%
37 FIELD PEAS 0
0%
38 MALAY APPLE 0
0%
39 STAR FRUIT 0
0%
41 sunflower 40
1%
42 sesame 66
1.7%
43 groundnut 80
2%
44 PALM OIL 0
0%
45 coconut 21
0.5%
46 CASHEW NUT 101
2.6%
47 soyabeans 0
0%
48 CASTER SEED 0
0%
50 cotton 102
2.6%
51 tobacco 26
0.7%
52 pyrethrum 0
0%
53 sisal 0
0%
54 coffee 38
1%
55 tea 4
0.1%
56 cocoa 1
0%
57 rubber 0
0%
58 wattle 0
0%
59 kapok 0
0%
60 SUGAR CANE 7
0.2%
61 cardamom 2
0.1%
62 jute 0
0%
63 tamarind 0
0%
64 cinnamon 0
0%
65 nutmeg 0
0%
66 clove 4
0.1%
67 BREAD FRUIT 0
0%
68 pomelo 0
0%
69 JACK FRUIT 0
0%
70 PASSION FRUIT 1
0%
71 banana 242
6.2%
72 avocado 4
0.1%
73 mango 37
0.9%
74 papaw 4
0.1%
75 pineapple 12
0.3%
76 orange 15
0.4%
77 grapefruit 0
0%
78 grapes 0
0%
79 mandarin 1
0%
80 guava 2
0.1%
81 plums 0
0%
82 apples 0
0%
83 pears 0
0%
84 peaches 0
0%
86 cabbage 0
0%
87 tomatoes 15
0.4%
88 spinach 0
0%
89 carrot 3
0.1%
90 chilies 1
0%
91 amaranths 5
0.1%
92 pumpkins 3
0.1%
93 cucumber 2
0.1%
94 EGG PLANT 0
0%
95 WATER MELLON 2
0.1%
96 cauliflower 0
0%
97 durian 0
0%
98 bilimbi 0
0%
99 rambutan 0
0%
100 okra 8
0.2%
101 fiwi 5
0.1%
200 CUSTARD APPLE 1
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 1
0%
304 timber 38
1%
305 MEDICINAL PLANT 0
0%
306 FENCE TREE 0
0%
851 lime 1
0%
852 lemon 1
0%
998 OTHER (SPECIFY) 9
0.2%
Sysmiss 1607
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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