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    Home / Central Data Catalog / RWA-NISR-EICV5-VUP-2016-2017-V01 / variable [F23]
central

Integrated Household Living Conditions Survey (EICV5), 2016-2017, VUP

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-EICV5-VUP-2016-2017-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 04, 2019
Last modified
Feb 04, 2019
Page views
791561
Downloads
85860
  • 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 in-kind transfer in the last 12 months (s9aq12)

Data file: vup_S9A_transfers_out

Overview

Valid: 1956
Invalid: 6636
Type: Discrete
Decimal: 0
Start: 84
End: 89
Width: 6
Range: 0 - 300000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No value 0
0%
50 1
0.1%
100 13
0.7%
150 9
0.5%
200 24
1.2%
250 4
0.2%
300 31
1.6%
320 1
0.1%
400 27
1.4%
450 2
0.1%
500 131
6.7%
550 1
0.1%
600 59
3%
650 1
0.1%
700 126
6.4%
750 2
0.1%
800 52
2.7%
900 5
0.3%
1000 195
10%
1100 4
0.2%
1150 1
0.1%
1200 61
3.1%
1300 4
0.2%
1400 81
4.1%
1500 100
5.1%
1600 28
1.4%
1700 7
0.4%
1800 25
1.3%
1850 1
0.1%
1890 1
0.1%
1900 4
0.2%
2000 136
7%
2100 28
1.4%
2200 2
0.1%
2300 1
0.1%
2400 27
1.4%
2450 1
0.1%
2500 53
2.7%
2600 1
0.1%
2750 1
0.1%
2800 14
0.7%
3000 106
5.4%
3200 8
0.4%
3250 1
0.1%
3350 1
0.1%
3400 2
0.1%
3500 33
1.7%
3600 8
0.4%
3700 1
0.1%
4000 63
3.2%
4200 9
0.5%
4300 2
0.1%
4400 1
0.1%
4500 10
0.5%
4700 1
0.1%
4800 6
0.3%
4900 7
0.4%
5000 66
3.4%
5200 3
0.2%
5250 1
0.1%
5500 10
0.5%
5600 4
0.2%
5700 1
0.1%
6000 44
2.2%
6200 1
0.1%
6300 1
0.1%
6400 2
0.1%
6500 6
0.3%
6700 1
0.1%
6800 1
0.1%
7000 32
1.6%
7200 4
0.2%
7500 4
0.2%
7700 1
0.1%
8000 22
1.1%
8100 1
0.1%
8400 2
0.1%
8500 1
0.1%
8800 1
0.1%
9000 14
0.7%
9500 1
0.1%
9600 1
0.1%
9700 1
0.1%
9750 1
0.1%
10000 36
1.8%
10200 1
0.1%
10400 1
0.1%
10500 3
0.2%
10900 1
0.1%
11000 5
0.3%
11200 1
0.1%
11500 1
0.1%
12000 19
1%
13000 4
0.2%
14000 1
0.1%
14400 1
0.1%
15000 25
1.3%
16000 3
0.2%
16800 3
0.2%
17000 2
0.1%
17500 1
0.1%
17800 1
0.1%
18000 5
0.3%
19000 1
0.1%
19200 1
0.1%
20000 16
0.8%
21000 2
0.1%
22000 2
0.1%
24000 2
0.1%
24370 1
0.1%
25000 9
0.5%
25700 1
0.1%
27000 1
0.1%
27400 1
0.1%
28000 2
0.1%
28800 1
0.1%
30000 3
0.2%
31000 1
0.1%
31200 1
0.1%
32200 1
0.1%
34900 1
0.1%
35000 2
0.1%
36400 2
0.1%
36600 1
0.1%
40000 4
0.2%
48000 2
0.1%
50000 5
0.3%
50900 1
0.1%
51000 1
0.1%
60000 7
0.4%
70000 1
0.1%
72000 2
0.1%
90000 1
0.1%
100000 4
0.2%
120000 1
0.1%
124400 1
0.1%
155000 1
0.1%
180000 1
0.1%
186900 1
0.1%
200000 4
0.2%
249000 1
0.1%
300000 1
0.1%
Sysmiss 6636
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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