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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 animal purchases (s7aq10)

Data file: vup_s7a1_livestock.dta

Overview

Valid: 1356
Invalid: 13123
Type: Discrete
Decimal: 0
Start: 98
End: 106
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None purchased 0
0%
150 2
0.1%
200 3
0.2%
250 1
0.1%
300 3
0.2%
400 4
0.3%
500 20
1.5%
550 1
0.1%
600 5
0.4%
700 5
0.4%
800 8
0.6%
900 1
0.1%
1000 42
3.1%
1200 11
0.8%
1250 1
0.1%
1300 3
0.2%
1400 2
0.1%
1500 31
2.3%
1600 6
0.4%
1700 6
0.4%
1800 4
0.3%
2000 50
3.7%
2200 5
0.4%
2300 3
0.2%
2400 6
0.4%
2500 34
2.5%
2600 3
0.2%
2700 3
0.2%
2800 4
0.3%
3000 39
2.9%
3100 1
0.1%
3200 5
0.4%
3300 1
0.1%
3400 3
0.2%
3500 11
0.8%
3600 1
0.1%
3700 1
0.1%
3800 2
0.1%
4000 21
1.5%
4200 2
0.1%
4300 2
0.1%
4500 6
0.4%
4600 1
0.1%
4700 1
0.1%
5000 37
2.7%
5100 1
0.1%
5200 1
0.1%
5400 1
0.1%
5500 4
0.3%
5700 1
0.1%
5800 2
0.1%
6000 30
2.2%
6300 1
0.1%
6500 4
0.3%
6700 1
0.1%
7000 34
2.5%
7500 2
0.1%
7600 1
0.1%
8000 53
3.9%
8500 4
0.3%
9000 18
1.3%
9500 3
0.2%
10000 111
8.2%
10200 1
0.1%
10500 2
0.1%
11000 10
0.7%
11500 1
0.1%
12000 63
4.6%
12500 2
0.1%
13000 20
1.5%
14000 25
1.8%
14500 1
0.1%
15000 69
5.1%
15500 1
0.1%
16000 17
1.3%
16500 1
0.1%
16700 1
0.1%
17000 29
2.1%
18000 28
2.1%
18500 1
0.1%
18600 1
0.1%
19000 5
0.4%
20000 63
4.6%
20500 1
0.1%
21000 5
0.4%
22000 10
0.7%
23000 9
0.7%
23500 1
0.1%
24000 12
0.9%
24500 1
0.1%
25000 26
1.9%
26000 3
0.2%
26500 2
0.1%
27000 8
0.6%
28000 4
0.3%
29000 2
0.1%
29600 1
0.1%
30000 15
1.1%
31000 2
0.1%
32000 6
0.4%
33000 3
0.2%
34000 1
0.1%
35000 8
0.6%
36000 3
0.2%
38000 4
0.3%
39000 1
0.1%
40000 12
0.9%
41000 2
0.1%
42000 3
0.2%
45000 2
0.1%
46000 1
0.1%
47000 2
0.1%
48500 1
0.1%
50000 5
0.4%
54000 1
0.1%
55000 2
0.1%
58000 3
0.2%
60000 11
0.8%
61000 1
0.1%
64000 1
0.1%
65000 1
0.1%
67000 1
0.1%
70000 15
1.1%
73000 1
0.1%
74000 1
0.1%
75000 2
0.1%
76000 1
0.1%
78000 1
0.1%
80000 13
1%
82000 1
0.1%
85000 6
0.4%
86000 1
0.1%
87000 1
0.1%
90000 6
0.4%
92000 1
0.1%
95000 5
0.4%
100000 16
1.2%
105000 1
0.1%
110000 5
0.4%
120000 13
1%
125000 2
0.1%
130000 8
0.6%
133500 1
0.1%
135000 1
0.1%
140000 3
0.2%
145000 2
0.1%
150000 13
1%
155000 1
0.1%
160000 6
0.4%
163000 1
0.1%
165000 1
0.1%
170000 5
0.4%
175000 1
0.1%
180000 3
0.2%
190000 1
0.1%
200000 6
0.4%
210000 1
0.1%
230000 1
0.1%
235000 1
0.1%
240000 1
0.1%
250000 3
0.2%
270000 1
0.1%
276000 1
0.1%
280000 1
0.1%
300000 6
0.4%
380000 1
0.1%
400000 1
0.1%
480000 1
0.1%
850000 1
0.1%
999999999 Missing 0
0%
Sysmiss 13123
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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