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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 [F8]
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
33767
Downloads
1660
  • 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

Amount spent on livestock in last 4 weeks (s7a4q5)

Data file: cs_s7a4_livestock

Overview

Valid: 5314
Invalid: 104045
Type: Discrete
Decimal: 0
Start: 99
End: 104
Width: 6
Range: 40 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
40 1
0%
50 27
0.5%
70 1
0%
75 1
0%
80 3
0.1%
90 2
0%
100 217
4.1%
110 1
0%
120 14
0.3%
125 2
0%
130 11
0.2%
135 1
0%
140 1
0%
150 134
2.5%
160 1
0%
170 3
0.1%
175 1
0%
180 8
0.2%
200 475
8.9%
210 1
0%
220 8
0.2%
225 2
0%
240 9
0.2%
250 83
1.6%
260 4
0.1%
270 2
0%
280 3
0.1%
300 520
9.8%
320 5
0.1%
340 2
0%
350 43
0.8%
360 4
0.1%
365 1
0%
375 1
0%
380 1
0%
400 298
5.6%
420 1
0%
430 1
0%
440 2
0%
450 33
0.6%
460 1
0%
470 1
0%
480 4
0.1%
500 354
6.7%
520 1
0%
540 1
0%
550 10
0.2%
580 1
0%
600 176
3.3%
620 1
0%
640 2
0%
650 5
0.1%
660 1
0%
700 64
1.2%
720 2
0%
750 11
0.2%
780 2
0%
800 109
2.1%
840 1
0%
850 3
0.1%
900 43
0.8%
1000 338
6.4%
1040 1
0%
1050 8
0.2%
1080 1
0%
1100 14
0.3%
1125 1
0%
1200 106
2%
1250 5
0.1%
1260 1
0%
1280 1
0%
1300 16
0.3%
1333 1
0%
1350 1
0%
1400 15
0.3%
1440 1
0%
1500 189
3.6%
1600 29
0.5%
1650 2
0%
1700 11
0.2%
1750 4
0.1%
1800 22
0.4%
1820 1
0%
1900 2
0%
1950 1
0%
2000 325
6.1%
2050 2
0%
2100 5
0.1%
2200 7
0.1%
2250 2
0%
2300 6
0.1%
2400 21
0.4%
2500 83
1.6%
2600 3
0.1%
2700 8
0.2%
2720 1
0%
2750 1
0%
2800 6
0.1%
2850 1
0%
2900 2
0%
3000 313
5.9%
3100 2
0%
3200 6
0.1%
3300 2
0%
3400 3
0.1%
3450 1
0%
3500 38
0.7%
3600 6
0.1%
3700 2
0%
3750 1
0%
3800 3
0.1%
3900 1
0%
3950 1
0%
4000 140
2.6%
4200 2
0%
4250 1
0%
4300 1
0%
4400 2
0%
4450 1
0%
4500 21
0.4%
4600 2
0%
4700 2
0%
4800 5
0.1%
5000 212
4%
5300 1
0%
5400 2
0%
5500 4
0.1%
5600 1
0%
5650 1
0%
5800 2
0%
5850 1
0%
6000 90
1.7%
6200 3
0.1%
6300 1
0%
6400 1
0%
6500 5
0.1%
6600 1
0%
6700 2
0%
6800 4
0.1%
7000 40
0.8%
7050 1
0%
7400 1
0%
7500 11
0.2%
7600 2
0%
8000 49
0.9%
8250 1
0%
8300 1
0%
8333 1
0%
8400 2
0%
8500 9
0.2%
9000 14
0.3%
9300 1
0%
9400 1
0%
9500 3
0.1%
9600 1
0%
9900 1
0%
10000 101
1.9%
10500 1
0%
10800 2
0%
11000 11
0.2%
11300 1
0%
12000 27
0.5%
12400 1
0%
12500 2
0%
12800 1
0%
13000 4
0.1%
13400 1
0%
13800 1
0%
13900 1
0%
14000 4
0.1%
14400 1
0%
14500 1
0%
15000 46
0.9%
15500 1
0%
15600 1
0%
16000 1
0%
16400 2
0%
16500 1
0%
17000 4
0.1%
17500 1
0%
18000 1
0%
18500 2
0%
19000 1
0%
19520 1
0%
19600 1
0%
20000 19
0.4%
20700 1
0%
21000 3
0.1%
21100 1
0%
22000 4
0.1%
22300 1
0%
23000 1
0%
24000 2
0%
24500 2
0%
25000 9
0.2%
26000 1
0%
27000 1
0%
28500 1
0%
29000 1
0%
29500 1
0%
30000 12
0.2%
32000 2
0%
33000 1
0%
34000 1
0%
35000 1
0%
36000 2
0%
37000 1
0%
40000 5
0.1%
42000 2
0%
43000 1
0%
45000 1
0%
50000 1
0%
51000 1
0%
52000 1
0%
54000 1
0%
60000 3
0.1%
80000 1
0%
85000 1
0%
90000 2
0%
100000 3
0.1%
120000 2
0%
150000 1
0%
221000 1
0%
245000 1
0%
300000 1
0%
360000 1
0%
999999 Missing 2
0%
Sysmiss 104045
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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