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    Home / Central Data Catalog / RWA_2013_EICV-IV_V01_M / variable [F5]
central

Integrated Household Living Conditions Survey 2013 -2014

Rwanda, 2013 - 2014
Reference ID
RWA_2013_EICV-IV_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
DDI/XML JSON
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
112778
Downloads
38952
  • Study Description
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  • Data files
  • cs_s0_s5_household
  • cs_s1_s2_s3_s4_s6a_s6e_s6f_person
  • cs_s5e_access
    to services
  • cs_s6b_employement_6c_salaried_s6d_business
  • cs_s7a1_livestock
  • cs_s7a2_livestock
  • cs_s7a3_livestock
  • cs_s7a4_livestock
  • cs_s7b1_land_agriculture
  • cs_s7b2_land_agriculture
  • cs_s7c_parcels
  • cs_s7d_large_crop
  • cs_s7e_small_crop
  • cs_s7f_income_agriculture
  • cs_s7g_expenditure_agriculture
  • cs_s7h_transformation_agriculture
  • cs_s8a1_expenditure
  • cs_s8a2_expenditure
  • cs_s8a3_expenditure
  • cs_s8b_expenditure
  • cs_s8c_farming
  • cs_s9a_transfers_out
  • cs_s9b_transfers_in
  • cs_s9c_vup
  • cs_s9c1_vup
  • cs_s9d_other_income
  • cs_s9e_other_expenditure
  • cs_s10a1_credits
  • cs_s10a2_credits
  • cs_s10b_goods
  • cs_s10c_savings
  • current_main_activity6
  • EICV3_Povertyfile_Jan2014
  • EICV4_poverty_file

Value of animal purchases (s7aq10)

Data file: cs_s7a1_livestock

Overview

Valid: 8317
Invalid: 72560
Type: Discrete
Decimal: 0
Start: 77
End: 83
Width: 7
Range: -
Format:

Questions and instructions

Categories
Value Category
0 None purchased
80
100
120
150
200
240
250
300
350
370
400
450
460
500
550
600
650
700
750
800
900
950
1000
1050
1100
1150
1200
1250
1300
1400
1500
1550
1600
1650
1700
1750
1800
1850
1900
2000
2100
2200
2300
2400
2450
2500
2600
2700
2800
2900
3000
3100
3200
3300
3400
3500
3600
3700
3800
3900
4000
4100
4200
4300
4400
4500
4600
4700
4800
4900
5000
5100
5200
5300
5400
5500
5600
5800
6000
6200
6300
6350
6400
6500
6600
6700
7000
7100
7300
7400
7500
7600
7700
7800
7900
8000
8200
8400
8500
8700
8800
9000
9100
9200
9400
9500
9800
10000
10500
11000
11400
11500
11600
11700
11800
12000
12500
12700
13000
13100
13500
13700
14000
14500
15000
15500
16000
16200
16500
17000
17200
17500
18000
18500
19000
19200
19500
20000
20200
21000
22000
22500
23000
23500
24000
24500
25000
25500
26000
27000
27500
28000
28500
29000
30000
30200
30500
31000
31500
31600
32000
32500
33000
34000
34500
35000
35500
36000
37000
37500
38000
39000
39500
40000
41000
42000
43000
45000
45500
46000
47000
48000
49000
50000
50500
51000
52000
53000
53500
54000
55000
56000
57000
58000
59000
60000
61000
62000
63000
63500
64000
65000
66000
67000
68000
69000
70000
72000
73000
75000
76000
77000
78000
80000
81000
82000
83000
85000
86000
87000
88000
90000
92000
93000
95000
96000
97000
98000
99000
100000
101000
102000
105000
108000
110000
111000
112000
112500
115000
120000
123000
125000
128000
129000
130000
133000
135000
138000
140000
142000
144000
145000
146000
150000
155000
157000
160000
165000
170000
175000
180000
185000
190000
195000
197000
200000
210000
215000
216000
220000
225000
230000
235000
240000
243000
250000
253000
255000
257000
260000
270000
275000
280000
285000
290000
300000
304000
305000
320000
325000
330000
340000
347000
350000
355000
365000
370000
375000
380000
385000
390000
400000
410000
420000
450000
460000
465000
470000
490000
500000
570000
580000
597000
600000
650000
700000
770000
1800000
2100000
2216500
2500000
9999999 Missing
Sysmiss
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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