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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 [F24]
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
28883
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 amount of cash received in the last 12 months (s9bq7)

Data file: vup_S9B_transfers_in

Overview

Valid: 2878
Invalid: 7966
Type: Discrete
Decimal: 0
Start: 69
End: 75
Width: 7
Range: 0 - 1500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Nothing 1
0%
50 1
0%
100 16
0.6%
120 1
0%
150 5
0.2%
200 66
2.3%
250 6
0.2%
300 62
2.2%
350 3
0.1%
400 34
1.2%
440 1
0%
450 1
0%
500 378
13.1%
550 2
0.1%
600 25
0.9%
700 21
0.7%
720 1
0%
750 2
0.1%
800 11
0.4%
900 5
0.2%
1000 427
14.8%
1050 1
0%
1100 5
0.2%
1150 1
0%
1200 22
0.8%
1250 2
0.1%
1300 6
0.2%
1350 2
0.1%
1400 6
0.2%
1450 1
0%
1500 114
4%
1550 1
0%
1600 3
0.1%
1650 1
0%
1700 4
0.1%
1800 3
0.1%
2000 302
10.5%
2100 2
0.1%
2200 4
0.1%
2300 3
0.1%
2400 3
0.1%
2500 54
1.9%
2600 1
0%
2700 6
0.2%
2800 2
0.1%
3000 141
4.9%
3120 1
0%
3150 1
0%
3300 3
0.1%
3500 13
0.5%
3600 2
0.1%
3700 1
0%
3900 2
0.1%
4000 66
2.3%
4200 3
0.1%
4500 11
0.4%
4600 1
0%
4800 4
0.1%
5000 247
8.6%
5300 1
0%
5400 1
0%
5500 5
0.2%
5800 1
0%
6000 52
1.8%
6300 1
0%
6500 4
0.1%
7000 31
1.1%
7500 3
0.1%
7600 1
0%
7900 1
0%
8000 18
0.6%
8200 1
0%
8900 1
0%
9000 16
0.6%
9500 2
0.1%
9600 1
0%
9700 1
0%
9750 1
0%
10000 147
5.1%
10400 1
0%
10500 1
0%
10600 1
0%
11000 5
0.2%
11400 1
0%
11500 3
0.1%
12000 21
0.7%
12250 1
0%
12300 1
0%
12500 3
0.1%
13000 9
0.3%
14000 2
0.1%
15000 68
2.4%
16000 4
0.1%
16500 1
0%
16700 1
0%
17000 3
0.1%
18000 4
0.1%
18500 1
0%
19000 4
0.1%
20000 65
2.3%
20500 1
0%
21000 3
0.1%
21300 1
0%
22000 7
0.2%
23700 1
0%
24000 8
0.3%
24200 1
0%
25000 20
0.7%
26000 1
0%
27000 2
0.1%
27800 1
0%
30000 45
1.6%
31000 1
0%
32000 2
0.1%
34500 1
0%
35000 7
0.2%
36000 4
0.1%
37000 1
0%
38000 1
0%
40000 17
0.6%
40950 1
0%
41000 1
0%
42000 2
0.1%
43000 1
0%
45000 3
0.1%
48000 1
0%
50000 26
0.9%
51000 1
0%
54000 2
0.1%
55000 2
0.1%
56000 1
0%
57000 1
0%
58000 1
0%
59000 1
0%
60000 11
0.4%
62000 1
0%
63000 1
0%
64000 2
0.1%
70000 5
0.2%
75000 2
0.1%
80000 5
0.2%
84000 1
0%
85000 4
0.1%
87000 1
0%
89000 1
0%
90000 2
0.1%
100000 20
0.7%
105000 1
0%
107200 1
0%
112500 1
0%
120000 8
0.3%
125000 1
0%
140000 1
0%
150000 6
0.2%
152000 1
0%
164000 1
0%
200000 3
0.1%
216000 1
0%
220000 1
0%
225000 1
0%
240000 1
0%
240500 1
0%
265000 1
0%
300000 4
0.1%
318280 1
0%
320000 1
0%
350000 1
0%
360000 1
0%
400000 1
0%
420000 1
0%
500000 1
0%
530000 1
0%
540000 1
0%
590000 1
0%
620000 1
0%
700000 1
0%
720000 2
0.1%
960000 1
0%
1500000 1
0%
Sysmiss 7966
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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