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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F1]
central

Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel

Rwanda, 2016 - 2017
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Reference ID
RWA_2016_EICV-VUP_v01_M
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
15840
Downloads
113
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • VUP_Panel_for_merge.dta
  • vup_S0_S5_Household.dta
  • vup_S1_S2_S3_S4_S6A_S6E_Person.dta
  • vup_S5F_Access_to_services.dta
  • vup_S6B_Employement_6C_Salaried_S6D_Business.dta
  • vup_S7A1_livestock.dta
  • vup_S7A2_livestock.dta
  • vup_S7A3_livestock.dta
  • vup_S7A4_livestock.dta
  • vup_S7B1_land_Agriculture.dta
  • vup_S7B2_land_Agriculture.dta
  • vup_S7C_parcels.dta
  • vup_S7D_large_crop.dta
  • vup_S7E_small_crop.dta
  • vup_S7F_income_agriculture.dta
  • vup_S7G_expenditure_agriculture.dta
  • vup_S7H_transformation_agriculture.dta
  • vup_S8A1_expenditure.dta
  • vup_S8A2_expenditure.dta
  • vup_S8A3_expenditure.dta
  • vup_S8B_expenditure.dta
  • vup_S8C_farming.dta
  • vup_S9A_transfers_out.dta
  • vup_S9B_transfers_in.dta
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9D_other_income.dta
  • vup_S9E_Other_expenditure.dta
  • vup_S10A1_Credits.dta
  • vup_S10A2_Listing_of_credits.dta
  • vup_S10B1_Durable_household_goods.dta
  • vup_S10B2_Durable_household_goods.dta
  • vup_S10C1_Savings.dta
  • vup_S10C2_Tontine.dta

EICV4 Age(Years) (s1q3y_14)

Data file: VUP_Panel_for_merge.dta

Overview

Valid: 5171
Invalid: -
Minimum: 0
Maximum: 100
Type: Discrete
Decimal: 0
Start: 78
End: 80
Width: 3
Range: 0 - 100
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 107
2.1%
1 97
1.9%
2 100
1.9%
3 120
2.3%
4 131
2.5%
5 111
2.1%
6 152
2.9%
7 155
3%
8 163
3.2%
9 155
3%
10 146
2.8%
11 151
2.9%
12 154
3%
13 144
2.8%
14 160
3.1%
15 108
2.1%
16 116
2.2%
17 102
2%
18 112
2.2%
19 99
1.9%
20 91
1.8%
21 71
1.4%
22 85
1.6%
23 84
1.6%
24 59
1.1%
25 68
1.3%
26 60
1.2%
27 49
0.9%
28 48
0.9%
29 46
0.9%
30 47
0.9%
31 46
0.9%
32 68
1.3%
33 48
0.9%
34 40
0.8%
35 57
1.1%
36 41
0.8%
37 55
1.1%
38 45
0.9%
39 35
0.7%
40 37
0.7%
41 34
0.7%
42 37
0.7%
43 29
0.6%
44 47
0.9%
45 53
1%
46 39
0.8%
47 41
0.8%
48 45
0.9%
49 37
0.7%
50 41
0.8%
51 42
0.8%
52 32
0.6%
53 33
0.6%
54 33
0.6%
55 37
0.7%
56 29
0.6%
57 23
0.4%
58 35
0.7%
59 35
0.7%
60 31
0.6%
61 30
0.6%
62 31
0.6%
63 22
0.4%
64 24
0.5%
65 31
0.6%
66 21
0.4%
67 32
0.6%
68 29
0.6%
69 24
0.5%
70 26
0.5%
71 19
0.4%
72 26
0.5%
73 27
0.5%
74 32
0.6%
75 27
0.5%
76 23
0.4%
77 21
0.4%
78 26
0.5%
79 27
0.5%
80 17
0.3%
81 18
0.3%
82 18
0.3%
83 19
0.4%
84 22
0.4%
85 7
0.1%
86 12
0.2%
87 11
0.2%
88 6
0.1%
89 9
0.2%
90 4
0.1%
91 2
0%
92 8
0.2%
93 5
0.1%
94 8
0.2%
95 3
0.1%
96 4
0.1%
97 2
0%
99 1
0%
100 1
0%
998 Don't know 0
0%
999 Missing 0
0%
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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