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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 [F2]
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
30592
Downloads
1536
  • 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

School uniforms expenses (s4aq11c)

Data file: cs_s1_s2_s3_s4_s6a_s6e_s6f_person

Overview

Valid: 20750
Invalid: 45331
Type: Discrete
Decimal: 0
Start: 205
End: 210
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Zero 7905
38.1%
80 2
0%
100 3
0%
150 1
0%
160 1
0%
200 15
0.1%
250 2
0%
300 21
0.1%
350 1
0%
400 17
0.1%
450 1
0%
500 41
0.2%
600 46
0.2%
650 3
0%
700 49
0.2%
750 2
0%
800 59
0.3%
900 42
0.2%
1000 290
1.4%
1100 24
0.1%
1150 1
0%
1200 232
1.1%
1250 2
0%
1300 59
0.3%
1350 6
0%
1400 74
0.4%
1450 2
0%
1500 705
3.4%
1550 1
0%
1580 1
0%
1600 112
0.5%
1630 1
0%
1700 183
0.9%
1750 19
0.1%
1800 276
1.3%
1850 4
0%
1900 66
0.3%
1925 1
0%
1950 4
0%
2000 1509
7.3%
2050 1
0%
2100 71
0.3%
2150 4
0%
2200 174
0.8%
2225 1
0%
2250 5
0%
2300 106
0.5%
2330 1
0%
2350 4
0%
2400 126
0.6%
2450 4
0%
2500 1127
5.4%
2550 6
0%
2600 76
0.4%
2650 1
0%
2700 124
0.6%
2730 1
0%
2750 7
0%
2800 108
0.5%
2850 4
0%
2900 43
0.2%
2950 5
0%
3000 1537
7.4%
3050 3
0%
3100 34
0.2%
3150 3
0%
3200 110
0.5%
3250 7
0%
3300 37
0.2%
3350 1
0%
3400 29
0.1%
3450 2
0%
3500 593
2.9%
3600 32
0.2%
3650 8
0%
3700 62
0.3%
3750 5
0%
3800 63
0.3%
3850 1
0%
3900 41
0.2%
4000 504
2.4%
4100 20
0.1%
4125 1
0%
4150 3
0%
4200 43
0.2%
4250 7
0%
4300 18
0.1%
4360 1
0%
4400 22
0.1%
4500 222
1.1%
4550 2
0%
4600 19
0.1%
4700 26
0.1%
4750 4
0%
4800 23
0.1%
4900 15
0.1%
5000 601
2.9%
5100 11
0.1%
5200 19
0.1%
5250 3
0%
5300 12
0.1%
5400 25
0.1%
5450 2
0%
5500 90
0.4%
5550 1
0%
5600 12
0.1%
5650 1
0%
5700 17
0.1%
5750 1
0%
5800 18
0.1%
5900 3
0%
5950 2
0%
6000 354
1.7%
6100 8
0%
6200 17
0.1%
6250 1
0%
6264 1
0%
6300 5
0%
6400 12
0.1%
6500 72
0.3%
6600 8
0%
6700 14
0.1%
6750 2
0%
6800 4
0%
6900 4
0%
7000 197
0.9%
7100 6
0%
7150 1
0%
7200 12
0.1%
7300 8
0%
7400 9
0%
7500 52
0.3%
7600 4
0%
7700 6
0%
7800 6
0%
7900 7
0%
8000 153
0.7%
8100 4
0%
8150 1
0%
8160 1
0%
8200 4
0%
8250 2
0%
8300 5
0%
8400 4
0%
8500 25
0.1%
8550 1
0%
8600 4
0%
8700 3
0%
8800 3
0%
8900 1
0%
9000 88
0.4%
9100 1
0%
9200 8
0%
9300 2
0%
9400 6
0%
9500 24
0.1%
9550 1
0%
9600 3
0%
9700 2
0%
9800 7
0%
10000 230
1.1%
10100 1
0%
10200 4
0%
10300 2
0%
10400 2
0%
10500 23
0.1%
10700 7
0%
10800 3
0%
10900 5
0%
10950 1
0%
11000 59
0.3%
11100 1
0%
11200 4
0%
11300 1
0%
11400 1
0%
11500 22
0.1%
11600 4
0%
11700 3
0%
11800 7
0%
11900 3
0%
12000 173
0.8%
12200 1
0%
12400 1
0%
12500 17
0.1%
12600 3
0%
12700 1
0%
12800 2
0%
13000 54
0.3%
13200 4
0%
13300 1
0%
13400 2
0%
13500 17
0.1%
13700 1
0%
13850 1
0%
13900 1
0%
14000 71
0.3%
14200 1
0%
14250 1
0%
14400 1
0%
14500 6
0%
14600 1
0%
14800 1
0%
14900 1
0%
15000 185
0.9%
15200 1
0%
15300 2
0%
15500 9
0%
15600 1
0%
15700 1
0%
15800 4
0%
16000 46
0.2%
16200 1
0%
16500 12
0.1%
16600 1
0%
16700 1
0%
16800 1
0%
17000 33
0.2%
17200 2
0%
17500 7
0%
17600 1
0%
17700 1
0%
17800 1
0%
17900 1
0%
18000 49
0.2%
18200 1
0%
18250 2
0%
18400 1
0%
18500 10
0%
19000 13
0.1%
19200 2
0%
19400 1
0%
19500 4
0%
19800 1
0%
20000 86
0.4%
20500 4
0%
20800 1
0%
21000 14
0.1%
21100 1
0%
21500 4
0%
22000 22
0.1%
22500 7
0%
23000 10
0%
23300 1
0%
24000 16
0.1%
24500 8
0%
24700 1
0%
24800 1
0%
25000 29
0.1%
25200 2
0%
25800 1
0%
26000 7
0%
26600 1
0%
27000 1
0%
27500 2
0%
28000 10
0%
28500 2
0%
28800 1
0%
29000 3
0%
29400 1
0%
29500 2
0%
29700 2
0%
30000 30
0.1%
30800 1
0%
31000 4
0%
32000 4
0%
32300 1
0%
32500 1
0%
33000 4
0%
33150 1
0%
33500 3
0%
34500 1
0%
35000 10
0%
36000 2
0%
38000 1
0%
39000 1
0%
40000 8
0%
40200 1
0%
44000 1
0%
45000 3
0%
50000 3
0%
52000 2
0%
57000 1
0%
60000 1
0%
65000 2
0%
66000 1
0%
70000 1
0%
75000 1
0%
80000 1
0%
95000 1
0%
100000 1
0%
110800 2
0%
160000 1
0%
321000 1
0%
999999 Missing 13
0.1%
Sysmiss 45331
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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