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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-CS_V01_EN_M_V01_A_OCS / variable [F5]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, Cross-Sectional Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-CS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
33458
Downloads
1643
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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
  • EICV4_poverty_file
  • EICV3_Povertyfile_Jan2014

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: 0 - 9999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None purchased 1
0%
80 1
0%
100 13
0.2%
120 1
0%
150 7
0.1%
200 41
0.5%
240 1
0%
250 8
0.1%
300 49
0.6%
350 8
0.1%
370 1
0%
400 43
0.5%
450 10
0.1%
460 1
0%
500 117
1.4%
550 1
0%
600 48
0.6%
650 2
0%
700 43
0.5%
750 5
0.1%
800 57
0.7%
900 17
0.2%
950 3
0%
1000 244
2.9%
1050 2
0%
1100 11
0.1%
1150 1
0%
1200 93
1.1%
1250 1
0%
1300 24
0.3%
1400 29
0.3%
1500 258
3.1%
1550 1
0%
1600 30
0.4%
1650 1
0%
1700 36
0.4%
1750 2
0%
1800 45
0.5%
1850 1
0%
1900 5
0.1%
2000 333
4%
2100 12
0.1%
2200 27
0.3%
2300 18
0.2%
2400 25
0.3%
2450 1
0%
2500 173
2.1%
2600 12
0.1%
2700 19
0.2%
2800 18
0.2%
2900 5
0.1%
3000 296
3.6%
3100 3
0%
3200 14
0.2%
3300 5
0.1%
3400 7
0.1%
3500 88
1.1%
3600 10
0.1%
3700 8
0.1%
3800 8
0.1%
3900 2
0%
4000 151
1.8%
4100 3
0%
4200 7
0.1%
4300 7
0.1%
4400 4
0%
4500 75
0.9%
4600 3
0%
4700 3
0%
4800 6
0.1%
4900 2
0%
5000 215
2.6%
5100 3
0%
5200 4
0%
5300 6
0.1%
5400 8
0.1%
5500 29
0.3%
5600 3
0%
5800 2
0%
6000 189
2.3%
6200 3
0%
6300 4
0%
6350 1
0%
6400 4
0%
6500 24
0.3%
6600 2
0%
6700 4
0%
7000 230
2.8%
7100 2
0%
7300 1
0%
7400 1
0%
7500 33
0.4%
7600 1
0%
7700 1
0%
7800 1
0%
7900 1
0%
8000 336
4%
8200 1
0%
8400 1
0%
8500 20
0.2%
8700 1
0%
8800 1
0%
9000 130
1.6%
9100 1
0%
9200 2
0%
9400 1
0%
9500 18
0.2%
9800 1
0%
10000 644
7.7%
10500 15
0.2%
11000 81
1%
11400 1
0%
11500 8
0.1%
11600 1
0%
11700 1
0%
11800 1
0%
12000 280
3.4%
12500 13
0.2%
12700 3
0%
13000 135
1.6%
13100 1
0%
13500 10
0.1%
13700 2
0%
14000 122
1.5%
14500 6
0.1%
15000 327
3.9%
15500 4
0%
16000 114
1.4%
16200 2
0%
16500 8
0.1%
17000 100
1.2%
17200 1
0%
17500 6
0.1%
18000 111
1.3%
18500 5
0.1%
19000 30
0.4%
19200 1
0%
19500 3
0%
20000 247
3%
20200 1
0%
21000 23
0.3%
22000 45
0.5%
22500 4
0%
23000 32
0.4%
23500 5
0.1%
24000 42
0.5%
24500 1
0%
25000 101
1.2%
25500 2
0%
26000 33
0.4%
27000 21
0.3%
27500 2
0%
28000 31
0.4%
28500 2
0%
29000 13
0.2%
30000 136
1.6%
30200 1
0%
30500 1
0%
31000 12
0.1%
31500 1
0%
31600 1
0%
32000 19
0.2%
32500 2
0%
33000 14
0.2%
34000 5
0.1%
34500 1
0%
35000 28
0.3%
35500 1
0%
36000 14
0.2%
37000 16
0.2%
37500 2
0%
38000 17
0.2%
39000 11
0.1%
39500 1
0%
40000 57
0.7%
41000 3
0%
42000 9
0.1%
43000 9
0.1%
45000 26
0.3%
45500 1
0%
46000 5
0.1%
47000 5
0.1%
48000 9
0.1%
49000 2
0%
50000 40
0.5%
50500 1
0%
51000 4
0%
52000 4
0%
53000 4
0%
53500 1
0%
54000 3
0%
55000 16
0.2%
56000 2
0%
57000 6
0.1%
58000 3
0%
59000 4
0%
60000 66
0.8%
61000 2
0%
62000 6
0.1%
63000 3
0%
63500 1
0%
64000 3
0%
65000 31
0.4%
66000 1
0%
67000 1
0%
68000 3
0%
69000 2
0%
70000 73
0.9%
72000 5
0.1%
73000 4
0%
75000 29
0.3%
76000 1
0%
77000 1
0%
78000 5
0.1%
80000 111
1.3%
81000 2
0%
82000 4
0%
83000 5
0.1%
85000 41
0.5%
86000 1
0%
87000 4
0%
88000 1
0%
90000 68
0.8%
92000 2
0%
93000 1
0%
95000 19
0.2%
96000 3
0%
97000 5
0.1%
98000 4
0%
99000 1
0%
100000 94
1.1%
101000 1
0%
102000 1
0%
105000 13
0.2%
108000 1
0%
110000 37
0.4%
111000 1
0%
112000 1
0%
112500 1
0%
115000 11
0.1%
120000 69
0.8%
123000 1
0%
125000 12
0.1%
128000 1
0%
129000 1
0%
130000 47
0.6%
133000 1
0%
135000 13
0.2%
138000 1
0%
140000 46
0.6%
142000 1
0%
144000 2
0%
145000 5
0.1%
146000 2
0%
150000 68
0.8%
155000 7
0.1%
157000 1
0%
160000 32
0.4%
165000 3
0%
170000 29
0.3%
175000 2
0%
180000 32
0.4%
185000 6
0.1%
190000 4
0%
195000 3
0%
197000 1
0%
200000 53
0.6%
210000 7
0.1%
215000 1
0%
216000 1
0%
220000 16
0.2%
225000 1
0%
230000 6
0.1%
235000 3
0%
240000 6
0.1%
243000 1
0%
250000 25
0.3%
253000 1
0%
255000 1
0%
257000 1
0%
260000 7
0.1%
270000 8
0.1%
275000 1
0%
280000 8
0.1%
285000 1
0%
290000 1
0%
300000 20
0.2%
304000 1
0%
305000 2
0%
320000 3
0%
325000 1
0%
330000 3
0%
340000 2
0%
347000 1
0%
350000 7
0.1%
355000 2
0%
365000 1
0%
370000 2
0%
375000 1
0%
380000 2
0%
385000 1
0%
390000 2
0%
400000 4
0%
410000 1
0%
420000 1
0%
450000 4
0%
460000 1
0%
465000 1
0%
470000 1
0%
490000 1
0%
500000 1
0%
570000 1
0%
580000 1
0%
597000 1
0%
600000 1
0%
650000 1
0%
700000 1
0%
770000 1
0%
1800000 1
0%
2100000 1
0%
2216500 1
0%
2500000 1
0%
9999999 Missing 1
0%
Sysmiss 72560
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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