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    Home / Central Data Catalog / ZMB-ZSA-LCMS-2015-V1.0 / variable [F10]
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2015 LIVING CONDITIONS MONITORING SURVEY
Seventh Edition

Zambia, 2015
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Reference ID
ZMB-ZSA-LCMS-2015-V1.0
Producer(s)
Central Statistical Office
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 16, 2026
Last modified
Feb 26, 2026
Page views
18072
Downloads
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  • Study Description
  • Data Dictionary
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  • Data files
  • AggregateIncome_10_12_15_ANONYMIZE
  • Anthro 26_9_15
    merged
    Household
    size_ANONYMIZE
  • Child Health
    and Nutrition
    2015_ANONYMIZE
  • crop_costs_expenses_17Aug_ANONYMIZE
  • CropPoultryLivestock_10_12_15_ANONYMIZE
  • deaths_ANONYMIZE
  • Expenditure_ANONYMIZE
  • Expenditure_ANONYMIZE_1
  • HH Expenditure
    Agregated
    File_ANONYMIZE
  • HH
    File_ANONYMIZE
  • HouseholdAssets_Clean
  • livestock_costs_expenses_06Sept_ANONYMIZE
  • Person
    Record_ANONYMIZE
  • Poverty
    2015_ANONYMIZE
  • production_food_crops_06Sept_new_ANONYMIZE
  • Self Assesed
    Poverty Part
    2_ANONYMIZED

(expid)

Data file: Expenditure_ANONYMIZE_1

Overview

Valid: 6855
Invalid: 0
Minimum: 1
Maximum: 1914
Type: Discrete
Decimal: 2
Width: 8
Range: 1 - 1914
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Maize grain un 3
0%
2 Maize grain shelled 12
0.2%
3 Breakfast 111
1.6%
4 Roller meal 22
0.3%
5 Hammer mealie meal 9
0.1%
6 Pounded maize meal 0
0%
7 Cost of milling 8
0.1%
8 Millet 1
0%
9 Sorghum un 0
0%
10 Sorghum shelled 0
0%
11 Rice shelled 79
1.2%
12 Rice un 17
0.2%
13 wheat 9
0.1%
14 Bread/rolls 123
1.8%
15 Buns/Scones 48
0.7%
16 Fritters 28
0.4%
17 Other cereal/bread 4
0.1%
18 Sweet Potatoes un 60
0.9%
19 Sweet Potatoes 9
0.1%
20 Potatoes un 51
0.7%
21 Potatoes 6
0.1%
22 Cassava (tubers) 18
0.3%
23 Cassava (flour) 12
0.2%
24 Other roots 0
0%
25 Fresh beans un 7
0.1%
26 Fresh beans 9
0.1%
27 Sunflower 1
0%
28 Soya beans shelled 0
0%
29 Dried beans 88
1.3%
30 Groundnuts un 43
0.6%
31 Groundnuts 26
0.4%
32 Bambara 3
0%
33 Cowpeas un 0
0%
34 Peas 0
0%
35 Other pulses 0
0%
36 Onions 166
2.4%
37 Tomatoes 184
2.7%
38 Cabbages 79
1.2%
39 Rape 127
1.9%
40 Okra 70
1%
41 Pumpkin leaves 98
1.4%
42 Cassava leaves 53
0.8%
43 Kalembula 81
1.2%
44 Bondwe 34
0.5%
45 Impwa 77
1.1%
46 Cucumber 16
0.2%
47 Green beans 6
0.1%
48 Carrots 17
0.2%
49 Pumpkin 27
0.4%
50 Green maize 42
0.6%
51 Other vegetables 7
0.1%
52 Oranges 43
0.6%
53 Apples 42
0.6%
54 Mangoes 0
0%
55 Bananas 58
0.8%
56 Pawpaws 1
0%
57 Water melons 4
0.1%
58 Lemons 25
0.4%
59 Pineapples 5
0.1%
60 Pears 0
0%
61 Guavas 24
0.4%
62 Avocados 29
0.4%
63 Other fruits 2
0%
64 Kapenta (fresh) 28
0.4%
65 Kapenta (frozen) 0
0%
66 Kapenta dried 65
0.9%
67 Bream (fresh) 70
1%
68 Bream (frozen) 14
0.2%
69 Bream dried 21
0.3%
70 Buka (fresh) 15
0.2%
71 Buka (frozen) 2
0%
72 Buka (dried) 3
0%
73 Other fish (fresh) 34
0.5%
74 Other fish (frozen) 1
0%
75 Other fish (dried) 27
0.4%
76 Other fish & fish products 0
0%
77 Chicken (fresh) 112
1.6%
78 Chicken (frozen) 25
0.4%
79 Chicken (dried) 0
0%
80 Other poultry (fresh) 1
0%
81 Other poultry (frozen) 2
0%
82 Other poultry (dried) 0
0%
83 PBeef (fresh) 58
0.8%
84 Beef (frozen) 18
0.3%
85 Beef (dried) 2
0%
86 Pork (fresh) 16
0.2%
87 Pork (frozen) 6
0.1%
88 Pork (dried) 1
0%
89 Goat meat (fresh) 13
0.2%
90 Goat meat (dried) 0
0%
91 Sheep meat (fresh) 0
0%
92 Sheep meat (frozen) 0
0%
93 Sheep meat (dried) 0
0%
94 Game meat (fresh) 0
0%
95 Game meat (frozen) 0
0%
96 Game meat (dried) 1
0%
97 Other meat 1
0%
98 Milk 66
1%
99 Milk (powdered) 9
0.1%
100 Eggs 127
1.9%
101 Cheese 5
0.1%
102 Other dairy products 2
0%
103 Butter 47
0.7%
104 Margarine 15
0.2%
105 Peanut 24
0.4%
106 Other fats 1
0%
107 Sugar 151
2.2%
108 Honey 5
0.1%
109 Jam 0
0%
110 Cocoa&Choc 12
0.2%
112 Cremora 35
0.5%
113 Other sweets 0
0%
114 Tea 77
1.1%
115 Coffee 16
0.2%
116 Drinking chocolate/Milo/Cocoa 18
0.3%
117 Juice 94
1.4%
118 Soft drinks 35
0.5%
119 water 17
0.2%
120 Munkoyo 15
0.2%
121 maheu 8
0.1%
122 Other non-alcoholic beverage 0
0%
123 Spirits 5
0.1%
124 wines 5
0.1%
125 Ciders 4
0.1%
126 Clear beer 10
0.1%
127 Opaque beer 7
0.1%
128 Traditional brews 0
0%
129 Other alcoholic beverages 3
0%
130 Baby foods 8
0.1%
131 Food from kiosks, cafes, restuarants 1
0%
132 Other foods and beverages 0
0%
133 Cigarettes 11
0.2%
134 Tobacco 1
0%
135 Salt 166
2.4%
136 Spices 30
0.4%
137 Cooking Oil 180
2.6%
138 Charcoal 137
2%
139 Firewood 6
0.1%
140 Rent of dwelling 191
2.8%
141 Water & Sewe charges 60
0.9%
142 Electricity 111
1.6%
143 Paraffin 7
0.1%
144 Diesel 1
0%
145 Home repairs (plumbing) 1
0%
146 Cable/pay TV (DSTV, MYtv, Satelite, ZNBC, etc 51
0.7%
147 Garbage collection 0
0%
148 Gas 2
0%
149 Kerosene 0
0%
150 Coal 0
0%
151 batteries 26
0.4%
152 Other housing expenses 2
0%
153 Bath/hand w soap 158
2.3%
154 Laundry detergent 116
1.7%
155 Toothpaste & tbrushes 132
1.9%
156 Sanitary towels 21
0.3%
157 Toilet paper & oth 121
1.8%
158 Cosmetics 107
1.6%
159 Hair care 47
0.7%
160 Laundry service 9
0.1%
161 Baby diapers 14
0.2%
162 Cleaning agents 55
0.8%
163 Insecticides 9
0.1%
164 Other hygiene expenses 2
0%
165 Public transport to and from work 34
0.5%
166 Public transport to/from school 10
0.1%
167 Other public transport 18
0.3%
168 Petrol/diesel 25
0.4%
169 Vehicle maintenance and repairs 18
0.3%
170 Motorbike repairs 1
0%
171 Bicycle repairs 7
0.1%
172 Boat/Canoe repairs 0
0%
173 Other private transport expenses 2
0%
174 Mobile phones 115
1.7%
175 Landline phones 2
0%
176 Internet 15
0.2%
177 Postal expenses 3
0%
178 Other communication expenses 2
0%
179 Entertainment 8
0.1%
180 Domestic servants 14
0.2%
181 Stationery 12
0.2%
182 Typing services 5
0.1%
183 Other expenses 1
0%
191 Purchase of medicines 38
0.6%
192 Fees for doctors 5
0.1%
193 Fees for nurses, midwives 0
0%
194 Fees for dentists 0
0%
195 Fees for hospital stays 2
0%
196 Fees for health assistant 0
0%
197 Fees for traditional healers 0
0%
198 Payments to hospital 1
0%
199 Pre-payment scheme 3
0%
200 Other health expenses 5
0.1%
201 Treatment tables, chemicals 0
0%
202 Other water treatment 1
0%
203 Chitenges 70
1%
204 Childrens clothing 87
1.3%
205 Mens clothing 104
1.5%
206 Womens clothing 102
1.5%
207 Fabric/Material 8
0.1%
208 Tailoring charges 18
0.3%
209 Footwear 132
1.9%
210 Loan repayment 17
0.2%
211 Contributions (Church, Mosques, 48
0.7%
212 Insurance (car, life, health) 14
0.2%
213 Funerals, gifts, dowries 21
0.3%
215 To persons in rural areas of Zambia 41
0.6%
216 To persons in urban areas of Zambia 29
0.4%
217 To persons outside Zambia 1
0%
218 Goat meat (frozen) 2
0%
219 Caterpillars 17
0.2%
1841 School fees for 1st Term 2014 0
0%
1842 School fees for 2nd Term 2014 68
1%
1843 School fees for 3rd Term 2014 70
1%
1844 School fees for 1st Term 2015 72
1.1%
1851 Contributions to school/PTA for 1st Term 2014 0
0%
1852 Contributions to school/PTA for 2nd Term 2014 21
0.3%
1853 Contributions to school/PTA for 3rd Term 2014 21
0.3%
1854 Contributions to school/PTA for 1st Term 2015 31
0.5%
1861 Private tuition for 1st Term 2014 0
0%
1862 Private tuition for 2nd Term 2014 12
0.2%
1863 Private tuition for 3rd Term 2014 13
0.2%
1864 Private tuition for 1st Term 2015 10
0.1%
1871 Text books for 1st Term 2014 0
0%
1872 Text books for 2nd Term 2014 2
0%
1873 Text books for 3rd Term 2014 1
0%
1874 Text books for 1st Term 2015 7
0.1%
1881 School stationery for 1st Term 2014 0
0%
1882 School stationery for 2nd Term 2014 36
0.5%
1883 School stationery for 3rd Term 2014 38
0.6%
1884 School stationery for 1st Term 2015 51
0.7%
1891 School uniforms for 1st Term 2014 0
0%
1892 School uniforms for 2nd Term 2014 5
0.1%
1893 School uniforms for 3rd Term 2014 3
0%
1894 School uniforms for 1st Term 2015 32
0.5%
1901 Other education expenses 1st Term 2014 0
0%
1902 Other education expenses for 2nd Term 2014 4
0.1%
1903 Other education expenses for 3rd Term 2014 5
0.1%
1904 Other education expenses for 1st Term 2015 8
0.1%
1911 Purchase of other school requisites for 1st Term 2014 0
0%
1912 Purchase of other school requisites for 2nd Term 2014 9
0.1%
1913 Purchase of other school requisites for 3rd Term 2014 9
0.1%
1914 Purchase of other school requisites for 1st Term 2015 13
0.2%
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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