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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2016-2017_EICV-W5-VUP_V01_EN_M_V01_A_OCS / variable [F23]
agricultural-surveys

Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.

Rwanda, 2016 - 2017
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Reference ID
RWA_2016-2017_EICV-W5-VUP_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
28901
Downloads
226
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • VUP_Panel_for_merge
  • vup_S0_S5_Household
  • vup_S1_S2_S3_S4_S6A_S6E_Person
  • vup_S5F_Access_to_services
  • vup_S6B_Employement_6C_Salaried_S6D_Business
  • vup_S7A1_livestock
  • vup_S7A2_livestock
  • vup_S7A3_livestock
  • vup_S7A4_livestock
  • vup_S7B1_land_Agriculture
  • vup_S7B2_land_Agriculture
  • vup_S7C_parcels
  • vup_S7D_large_crop
  • vup_S7E_small_crop
  • vup_S7F_income_agriculture
  • vup_S7G_expenditure_agriculture
  • vup_S7H_transformation_agriculture
  • vup_S8A1_expenditure
  • vup_S8A2_expenditure
  • vup_S8A3_expenditure
  • vup_S8B_expenditure
  • vup_S8C_farming
  • vup_S9A_transfers_out
  • vup_S9B_transfers_in
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes
  • vup_S9D_other_income
  • vup_S9E_Other_expenditure
  • vup_S10A1_Credits
  • vup_S10A2_Listing_of_credits
  • vup_S10B1_Durable_household_goods
  • vup_S10B2_Durable_household_goods
  • vup_S10C1_Savings
  • vup_S10C2_Tontine

Total value of food sent over the course of the last 12 months (s9aq10)

Data file: vup_S9A_transfers_out

Overview

Valid: 6426
Invalid: 2166
Type: Discrete
Decimal: 0
Start: 77
End: 82
Width: 6
Range: 0 - 500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No value 4
0.1%
50 3
0%
100 28
0.4%
120 2
0%
150 12
0.2%
200 111
1.7%
240 1
0%
250 25
0.4%
280 1
0%
300 189
2.9%
350 28
0.4%
360 1
0%
380 1
0%
400 194
3%
440 1
0%
450 36
0.6%
480 2
0%
500 414
6.4%
550 12
0.2%
600 273
4.2%
650 9
0.1%
660 1
0%
675 2
0%
700 147
2.3%
720 1
0%
750 52
0.8%
760 1
0%
775 1
0%
800 222
3.5%
830 2
0%
850 13
0.2%
875 2
0%
900 79
1.2%
950 7
0.1%
960 2
0%
980 1
0%
1000 683
10.6%
1040 2
0%
1050 19
0.3%
1075 1
0%
1080 1
0%
1100 29
0.5%
1125 1
0%
1140 1
0%
1150 6
0.1%
1180 1
0%
1190 1
0%
1200 222
3.5%
1230 1
0%
1250 27
0.4%
1300 44
0.7%
1350 13
0.2%
1400 59
0.9%
1440 2
0%
1450 1
0%
1460 1
0%
1480 1
0%
1500 401
6.2%
1520 1
0%
1540 1
0%
1550 3
0%
1560 1
0%
1575 1
0%
1600 64
1%
1640 1
0%
1650 9
0.1%
1680 2
0%
1700 28
0.4%
1710 1
0%
1750 27
0.4%
1800 70
1.1%
1850 3
0%
1900 14
0.2%
1950 5
0.1%
1970 1
0%
2000 455
7.1%
2025 7
0.1%
2050 4
0.1%
2100 24
0.4%
2150 3
0%
2200 36
0.6%
2250 14
0.2%
2280 1
0%
2300 11
0.2%
2325 1
0%
2350 2
0%
2400 54
0.8%
2450 3
0%
2500 147
2.3%
2550 4
0.1%
2600 18
0.3%
2650 2
0%
2700 14
0.2%
2730 1
0%
2750 7
0.1%
2760 2
0%
2780 1
0%
2800 27
0.4%
2850 1
0%
2900 11
0.2%
2950 1
0%
3000 289
4.5%
3050 4
0.1%
3100 3
0%
3150 6
0.1%
3180 1
0%
3200 25
0.4%
3250 5
0.1%
3300 12
0.2%
3350 2
0%
3400 14
0.2%
3450 2
0%
3500 81
1.3%
3550 3
0%
3600 25
0.4%
3700 6
0.1%
3720 1
0%
3750 5
0.1%
3770 1
0%
3800 9
0.1%
3850 1
0%
3880 1
0%
3900 7
0.1%
3950 2
0%
4000 138
2.1%
4100 7
0.1%
4200 25
0.4%
4225 1
0%
4250 3
0%
4300 6
0.1%
4350 2
0%
4400 10
0.2%
4500 42
0.7%
4550 2
0%
4600 5
0.1%
4650 1
0%
4700 3
0%
4725 1
0%
4750 2
0%
4800 30
0.5%
4810 1
0%
4850 1
0%
4900 7
0.1%
4950 2
0%
5000 202
3.1%
5050 2
0%
5100 4
0.1%
5150 1
0%
5200 5
0.1%
5250 4
0.1%
5300 2
0%
5400 11
0.2%
5440 1
0%
5450 1
0%
5500 12
0.2%
5550 1
0%
5600 16
0.2%
5700 4
0.1%
5750 1
0%
5760 1
0%
5800 8
0.1%
5850 1
0%
5900 3
0%
5950 1
0%
6000 90
1.4%
6100 3
0%
6160 1
0%
6200 7
0.1%
6250 2
0%
6300 2
0%
6400 4
0.1%
6500 25
0.4%
6520 1
0%
6600 1
0%
6700 2
0%
6750 4
0.1%
6800 9
0.1%
6850 2
0%
6900 2
0%
7000 30
0.5%
7030 1
0%
7100 1
0%
7140 1
0%
7150 1
0%
7200 4
0.1%
7250 2
0%
7350 2
0%
7400 3
0%
7500 22
0.3%
7600 1
0%
7700 3
0%
7750 2
0%
7800 3
0%
8000 46
0.7%
8150 1
0%
8200 4
0.1%
8300 2
0%
8350 2
0%
8400 2
0%
8480 1
0%
8500 14
0.2%
8600 1
0%
8700 1
0%
8750 1
0%
8900 1
0%
8910 1
0%
9000 22
0.3%
9150 1
0%
9200 1
0%
9350 1
0%
9400 1
0%
9500 2
0%
9600 8
0.1%
9750 1
0%
9800 1
0%
9900 2
0%
10000 104
1.6%
10050 1
0%
10120 1
0%
10200 1
0%
10250 2
0%
10400 3
0%
10500 8
0.1%
10800 8
0.1%
11000 10
0.2%
11100 2
0%
11200 3
0%
11350 1
0%
11400 2
0%
11450 1
0%
11500 6
0.1%
11550 1
0%
11600 1
0%
11800 2
0%
11850 2
0%
12000 25
0.4%
12200 2
0%
12500 4
0.1%
12800 2
0%
13000 6
0.1%
13500 5
0.1%
13550 1
0%
13600 1
0%
13700 1
0%
14000 12
0.2%
14400 1
0%
14450 1
0%
14500 2
0%
14600 3
0%
14800 1
0%
15000 51
0.8%
15200 1
0%
15400 1
0%
15500 2
0%
15700 1
0%
16000 5
0.1%
16400 1
0%
16500 1
0%
16800 1
0%
17000 9
0.1%
17200 1
0%
17400 1
0%
17850 1
0%
18000 6
0.1%
18200 1
0%
18500 2
0%
18600 1
0%
19000 2
0%
19200 2
0%
19250 1
0%
19500 1
0%
20000 31
0.5%
21000 3
0%
21500 2
0%
21600 1
0%
21800 1
0%
22000 5
0.1%
22200 2
0%
22250 1
0%
22600 1
0%
22900 1
0%
23000 2
0%
23400 1
0%
24000 8
0.1%
24600 1
0%
25000 11
0.2%
27000 2
0%
28000 3
0%
30000 22
0.3%
31200 2
0%
31500 1
0%
32070 1
0%
32500 1
0%
33700 1
0%
34000 1
0%
34500 1
0%
35000 3
0%
36000 10
0.2%
37300 1
0%
37500 1
0%
38575 1
0%
38900 1
0%
39900 1
0%
40000 8
0.1%
40100 1
0%
41600 1
0%
41950 1
0%
42000 1
0%
42350 2
0%
43200 1
0%
44000 1
0%
45000 2
0%
48000 3
0%
50000 13
0.2%
51100 5
0.1%
52500 1
0%
53100 1
0%
54000 1
0%
54750 1
0%
55000 1
0%
58200 1
0%
60000 5
0.1%
64000 1
0%
70000 2
0%
72000 1
0%
78300 1
0%
90000 1
0%
96000 3
0%
100000 2
0%
100800 1
0%
109500 1
0%
112400 1
0%
120000 5
0.1%
136000 1
0%
150000 3
0%
160000 1
0%
165800 1
0%
180000 1
0%
200000 1
0%
206000 1
0%
240000 1
0%
288000 1
0%
500000 1
0%
Sysmiss 2166
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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