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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F8]
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

Average expenditure on livestock per month (s7a4q6)

Data file: vup_s7a4_livestock.dta

Overview

Valid: 2624
Invalid: 17006
Type: Discrete
Decimal: 0
Start: 122
End: 130
Width: 9
Range: 40 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
40 1
0%
50 3
0.1%
80 2
0.1%
85 1
0%
100 108
4.1%
120 9
0.3%
125 1
0%
130 1
0%
140 2
0.1%
150 42
1.6%
170 3
0.1%
175 1
0%
180 3
0.1%
200 237
9%
220 2
0.1%
225 3
0.1%
230 1
0%
240 1
0%
250 39
1.5%
260 1
0%
280 4
0.2%
300 234
8.9%
340 1
0%
350 18
0.7%
375 1
0%
400 132
5%
450 11
0.4%
460 1
0%
500 309
11.8%
510 1
0%
520 1
0%
525 1
0%
530 1
0%
540 2
0.1%
550 4
0.2%
580 2
0.1%
600 83
3.2%
650 3
0.1%
700 22
0.8%
730 1
0%
750 15
0.6%
800 45
1.7%
830 1
0%
833 1
0%
850 1
0%
900 20
0.8%
975 1
0%
990 1
0%
1000 146
5.6%
1075 1
0%
1100 8
0.3%
1125 1
0%
1150 2
0.1%
1200 44
1.7%
1250 6
0.2%
1300 9
0.3%
1330 2
0.1%
1350 3
0.1%
1400 13
0.5%
1440 1
0%
1470 1
0%
1500 73
2.8%
1550 1
0%
1580 1
0%
1600 10
0.4%
1625 1
0%
1650 3
0.1%
1660 1
0%
1666 1
0%
1700 6
0.2%
1750 7
0.3%
1800 16
0.6%
1825 1
0%
2000 185
7.1%
2050 1
0%
2150 1
0%
2180 1
0%
2200 4
0.2%
2208 1
0%
2250 1
0%
2260 1
0%
2291 1
0%
2300 4
0.2%
2335 1
0%
2350 1
0%
2400 5
0.2%
2420 1
0%
2450 1
0%
2500 38
1.4%
2550 1
0%
2600 1
0%
2700 5
0.2%
2750 1
0%
2800 1
0%
2825 2
0.1%
2850 1
0%
2950 1
0%
3000 198
7.5%
3100 1
0%
3180 1
0%
3200 3
0.1%
3250 1
0%
3300 4
0.2%
3400 2
0.1%
3500 17
0.6%
3600 2
0.1%
3666 1
0%
3700 1
0%
3730 1
0%
3750 1
0%
3800 2
0.1%
4000 65
2.5%
4050 1
0%
4100 1
0%
4200 5
0.2%
4300 1
0%
4400 1
0%
4470 1
0%
4500 9
0.3%
4600 1
0%
4620 1
0%
4800 2
0.1%
5000 92
3.5%
5075 1
0%
5200 1
0%
5250 1
0%
5300 1
0%
5400 1
0%
5500 6
0.2%
5800 1
0%
5900 1
0%
6000 26
1%
6225 1
0%
6300 1
0%
6500 3
0.1%
6750 1
0%
7000 13
0.5%
7250 1
0%
7400 1
0%
7500 6
0.2%
8000 16
0.6%
8100 1
0%
8200 2
0.1%
8500 3
0.1%
9000 9
0.3%
9100 1
0%
9300 1
0%
9500 1
0%
10000 31
1.2%
10400 1
0%
10500 1
0%
10750 1
0%
10800 1
0%
11000 2
0.1%
11200 1
0%
12000 6
0.2%
12500 1
0%
13000 2
0.1%
13500 2
0.1%
14000 2
0.1%
14300 2
0.1%
14500 2
0.1%
14800 1
0%
15000 10
0.4%
15500 1
0%
16000 2
0.1%
16300 1
0%
16600 1
0%
17000 3
0.1%
17300 1
0%
18000 3
0.1%
19100 1
0%
20000 10
0.4%
21000 1
0%
23000 1
0%
24000 2
0.1%
25000 2
0.1%
27000 1
0%
27600 1
0%
30000 5
0.2%
35000 1
0%
37900 1
0%
40000 4
0.2%
61400 1
0%
75000 1
0%
80000 1
0%
100000 2
0.1%
999999999 Missing 0
0%
Sysmiss 17006
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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