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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 [F19]
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
33291
Downloads
1643
  • 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

Visit 4 (s8a3q5)

Data file: cs_s8a3_expenditure

Overview

Valid: 533466
Invalid: 37
Type: Discrete
Decimal: 0
Start: 114
End: 119
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 508090
95.2%
10 15
0%
15 5
0%
20 1697
0.3%
25 15
0%
30 214
0%
40 166
0%
50 1797
0.3%
60 90
0%
70 17
0%
80 34
0%
90 5
0%
100 8690
1.6%
110 15
0%
117 1
0%
120 62
0%
125 2
0%
130 4
0%
135 1
0%
140 11
0%
150 663
0.1%
160 10
0%
170 7
0%
175 1
0%
180 17
0%
200 3763
0.7%
220 13
0%
225 3
0%
230 11
0%
240 11
0%
250 261
0%
260 7
0%
270 9
0%
275 1
0%
280 8
0%
300 1421
0.3%
310 1
0%
320 1
0%
330 2
0%
340 1
0%
350 99
0%
360 14
0%
370 5
0%
375 8
0%
380 11
0%
390 5
0%
400 923
0.2%
410 1
0%
420 8
0%
430 1
0%
440 1
0%
450 291
0.1%
460 2
0%
470 1
0%
480 8
0%
490 1
0%
500 1109
0.2%
510 1
0%
520 3
0%
525 1
0%
540 1
0%
550 29
0%
560 3
0%
600 534
0.1%
620 1
0%
630 2
0%
650 24
0%
660 1
0%
680 3
0%
700 216
0%
740 1
0%
750 26
0%
800 250
0%
850 14
0%
875 1
0%
900 158
0%
950 2
0%
1000 554
0.1%
1050 5
0%
1100 54
0%
1150 8
0%
1200 224
0%
1250 11
0%
1260 1
0%
1300 40
0%
1350 6
0%
1400 41
0%
1450 2
0%
1480 1
0%
1500 230
0%
1550 1
0%
1600 52
0%
1650 6
0%
1700 32
0%
1750 5
0%
1800 59
0%
1850 7
0%
1900 12
0%
1950 1
0%
2000 263
0%
2020 1
0%
2050 2
0%
2100 25
0%
2150 3
0%
2200 28
0%
2250 3
0%
2300 16
0%
2330 1
0%
2350 2
0%
2400 46
0%
2500 52
0%
2520 1
0%
2600 11
0%
2620 1
0%
2650 1
0%
2700 18
0%
2750 1
0%
2800 19
0%
2850 1
0%
2900 5
0%
3000 136
0%
3100 3
0%
3200 11
0%
3300 10
0%
3350 1
0%
3400 8
0%
3500 32
0%
3550 1
0%
3600 15
0%
3700 4
0%
3800 8
0%
3900 5
0%
3950 2
0%
4000 83
0%
4020 1
0%
4100 2
0%
4200 7
0%
4300 1
0%
4400 3
0%
4450 2
0%
4500 17
0%
4600 6
0%
4700 2
0%
4800 5
0%
5000 60
0%
5100 2
0%
5200 3
0%
5250 1
0%
5300 3
0%
5350 1
0%
5400 2
0%
5450 1
0%
5500 7
0%
5600 4
0%
5800 2
0%
5900 1
0%
6000 40
0%
6100 1
0%
6200 3
0%
6300 3
0%
6350 1
0%
6400 2
0%
6500 10
0%
6600 1
0%
6630 1
0%
6700 4
0%
6800 4
0%
7000 35
0%
7050 1
0%
7200 4
0%
7300 1
0%
7400 1
0%
7500 9
0%
7600 2
0%
7650 1
0%
7700 2
0%
7800 4
0%
8000 17
0%
8100 1
0%
8400 1
0%
8500 2
0%
8700 1
0%
9000 9
0%
9300 2
0%
9500 1
0%
9600 2
0%
9700 2
0%
10000 22
0%
10500 2
0%
10700 1
0%
11000 2
0%
11200 1
0%
11500 1
0%
12000 9
0%
12200 1
0%
12550 1
0%
13000 2
0%
13200 1
0%
13800 1
0%
14000 2
0%
14700 1
0%
15000 11
0%
15200 1
0%
15600 1
0%
17000 1
0%
19000 1
0%
19670 1
0%
20000 8
0%
24000 1
0%
25000 3
0%
30000 8
0%
33000 1
0%
35000 1
0%
45000 2
0%
60000 2
0%
83000 1
0%
90000 1
0%
100000 1
0%
134000 1
0%
999999 Missing 0
0%
Sysmiss 37
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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