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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F5]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
126241
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • vup_partb_filter_questions_hh
  • vup_s0_s5_household.dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person
  • vup_s5e_access
    to services
  • vup_s7a1_livestock.dta
  • vup_s7a2_livestock
  • vup_s7a3_livestock
  • vup_s7a4_livestock.dta
  • vup_s7b1_land_agriculture
  • vup_s7b2_land_agriculture
  • vup_s7c_parcels.dta
  • vup_s7d_large_crop
  • vup_s7e_small_crop.dta
  • vup_s7f_income_agriculture.dta
  • vup_s7g_expenditure_agriculture.dta
  • vup_s7h_transformation_agriculture
  • vup_s8a1_expenditure
  • vup_s8a2_expenditure.dta
  • vup_s8a3_expenditure.dta
  • vup_s8b_expenditure.dta
  • vup_s8c_farming.dta
  • vup_s9a_transfers_out.dta
  • vup_s9b_transfers_in.dta
  • vup_s9c_vup
  • vup_s9c1_vup
  • vup_s10a1_credits.dta
  • vup_s10a2_credits.dta
  • vup_s10b_goods
  • vup_s10c_savings.dta

Value of the animals sold live or dead (s7aq14)

Data file: vup_s7a1_livestock.dta

Overview

Valid: 1291
Invalid: 13188
Type: Discrete
Decimal: 0
Start: 118
End: 123
Width: 6
Range: 200 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
200 1
0.1%
300 1
0.1%
350 1
0.1%
400 1
0.1%
500 1
0.1%
600 3
0.2%
700 1
0.1%
750 2
0.2%
800 4
0.3%
900 1
0.1%
1000 17
1.3%
1100 1
0.1%
1200 4
0.3%
1300 2
0.2%
1400 1
0.1%
1500 21
1.6%
1600 2
0.2%
1700 5
0.4%
1800 4
0.3%
2000 46
3.6%
2100 1
0.1%
2200 2
0.2%
2300 1
0.1%
2400 2
0.2%
2500 24
1.9%
2600 1
0.1%
2800 5
0.4%
3000 40
3.1%
3200 1
0.1%
3300 1
0.1%
3500 14
1.1%
3600 4
0.3%
3700 3
0.2%
3800 1
0.1%
4000 37
2.9%
4200 1
0.1%
4400 1
0.1%
4500 20
1.5%
4800 2
0.2%
4900 1
0.1%
5000 32
2.5%
5100 1
0.1%
5400 1
0.1%
5500 4
0.3%
5700 1
0.1%
5800 3
0.2%
6000 27
2.1%
6500 5
0.4%
6800 1
0.1%
7000 18
1.4%
7500 9
0.7%
7900 1
0.1%
8000 32
2.5%
8300 1
0.1%
8500 3
0.2%
8700 1
0.1%
9000 17
1.3%
9200 1
0.1%
9300 1
0.1%
9400 1
0.1%
9500 6
0.5%
9700 1
0.1%
10000 48
3.7%
10100 1
0.1%
10500 5
0.4%
11000 10
0.8%
11500 1
0.1%
11800 1
0.1%
12000 44
3.4%
12500 7
0.5%
13000 24
1.9%
14000 23
1.8%
15000 53
4.1%
16000 20
1.5%
16500 3
0.2%
17000 16
1.2%
17500 1
0.1%
18000 23
1.8%
18500 2
0.2%
19000 11
0.9%
19500 1
0.1%
20000 53
4.1%
21000 13
1%
22000 10
0.8%
22500 1
0.1%
23000 8
0.6%
24000 8
0.6%
25000 23
1.8%
26000 6
0.5%
27000 11
0.9%
27500 1
0.1%
28000 10
0.8%
29000 4
0.3%
29500 1
0.1%
30000 33
2.6%
31000 1
0.1%
32000 7
0.5%
33000 3
0.2%
34000 2
0.2%
35000 10
0.8%
36000 4
0.3%
37000 2
0.2%
38000 1
0.1%
38500 1
0.1%
39000 3
0.2%
40000 12
0.9%
42000 2
0.2%
43000 1
0.1%
45000 10
0.8%
46000 1
0.1%
47000 4
0.3%
48000 2
0.2%
49000 1
0.1%
50000 13
1%
51000 1
0.1%
52000 3
0.2%
53000 1
0.1%
54000 3
0.2%
55000 5
0.4%
56000 1
0.1%
57000 1
0.1%
58000 2
0.2%
60000 21
1.6%
62000 1
0.1%
64000 3
0.2%
65000 1
0.1%
70000 13
1%
72000 1
0.1%
75000 3
0.2%
76400 1
0.1%
80000 18
1.4%
81000 1
0.1%
82000 1
0.1%
85000 4
0.3%
87000 1
0.1%
90000 12
0.9%
91000 1
0.1%
95000 3
0.2%
98000 1
0.1%
100000 18
1.4%
105000 1
0.1%
110000 9
0.7%
118000 1
0.1%
120000 16
1.2%
123500 1
0.1%
125000 2
0.2%
130000 13
1%
132000 1
0.1%
135000 3
0.2%
140000 14
1.1%
145000 1
0.1%
150000 20
1.5%
155000 1
0.1%
160000 10
0.8%
165000 1
0.1%
170000 5
0.4%
175000 2
0.2%
180000 15
1.2%
182000 1
0.1%
190000 4
0.3%
200000 9
0.7%
210000 4
0.3%
220000 3
0.2%
230000 4
0.3%
240000 2
0.2%
250000 6
0.5%
257000 1
0.1%
270000 1
0.1%
280000 1
0.1%
285000 1
0.1%
300000 3
0.2%
320000 1
0.1%
340000 2
0.2%
350000 2
0.2%
370000 1
0.1%
405000 1
0.1%
470000 1
0.1%
800000 1
0.1%
999999 Missing 1
0.1%
Sysmiss 13188
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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