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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
30674
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

Expense of post-school/vocational training (s4bq2)

Data file: cs_s1_s2_s3_s4_s6a_s6e_s6f_person

Overview

Valid: 971
Invalid: 65110
Type: Discrete
Decimal: 0
Start: 259
End: 266
Width: 8
Range: 0 - 99999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Zero 390
40.2%
30 1
0.1%
200 1
0.1%
600 1
0.1%
1000 8
0.8%
1200 1
0.1%
1500 2
0.2%
2000 11
1.1%
2500 2
0.2%
3000 17
1.8%
3500 1
0.1%
4000 6
0.6%
4050 1
0.1%
4500 2
0.2%
4750 1
0.1%
4800 1
0.1%
5000 19
2%
5500 1
0.1%
5600 1
0.1%
6000 11
1.1%
6500 1
0.1%
6700 1
0.1%
7000 9
0.9%
8000 5
0.5%
9000 5
0.5%
9400 1
0.1%
10000 28
2.9%
11000 3
0.3%
12000 9
0.9%
13000 4
0.4%
14000 1
0.1%
14100 1
0.1%
15000 27
2.8%
16000 2
0.2%
16400 1
0.1%
18000 10
1%
19000 2
0.2%
20000 28
2.9%
21000 2
0.2%
22000 1
0.1%
22500 1
0.1%
24000 2
0.2%
25000 11
1.1%
25100 1
0.1%
26000 1
0.1%
29700 1
0.1%
30000 48
4.9%
32000 3
0.3%
35000 12
1.2%
36000 1
0.1%
37000 1
0.1%
37500 1
0.1%
39000 1
0.1%
40000 21
2.2%
41600 1
0.1%
42000 1
0.1%
42600 1
0.1%
43000 2
0.2%
44800 1
0.1%
45000 10
1%
47500 1
0.1%
48000 2
0.2%
49000 1
0.1%
50000 27
2.8%
52000 1
0.1%
54000 1
0.1%
55000 4
0.4%
59000 1
0.1%
60000 27
2.8%
64000 1
0.1%
64600 1
0.1%
65000 3
0.3%
70000 6
0.6%
70200 1
0.1%
72000 2
0.2%
75000 7
0.7%
76000 1
0.1%
79000 1
0.1%
80000 22
2.3%
90000 16
1.6%
92000 1
0.1%
96000 1
0.1%
96800 1
0.1%
100000 20
2.1%
102000 1
0.1%
105000 1
0.1%
107000 1
0.1%
112000 1
0.1%
115000 3
0.3%
120000 12
1.2%
130000 1
0.1%
135000 3
0.3%
136000 1
0.1%
140000 4
0.4%
141000 1
0.1%
150000 11
1.1%
155000 1
0.1%
160000 4
0.4%
170000 2
0.2%
176000 1
0.1%
180000 7
0.7%
200000 6
0.6%
220000 1
0.1%
235000 1
0.1%
240000 1
0.1%
250000 2
0.2%
260000 1
0.1%
270000 2
0.2%
273000 1
0.1%
280100 1
0.1%
300000 7
0.7%
310000 1
0.1%
320000 1
0.1%
370000 1
0.1%
1800000 1
0.1%
99999999 Missing 0
0%
Sysmiss 65110
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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