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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
16045
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

EICV5 Age(Years (s1q3y_17)

Data file: VUP_Panel_for_merge.dta

Overview

Valid: 5171
Invalid: -
Minimum: 2
Maximum: 103
Type: Discrete
Decimal: 0
Start: 179
End: 181
Width: 3
Range: 2 - 103
Format: Numeric

Questions and instructions

Categories
Value Category Cases
2 2
0%
3 112
2.2%
4 96
1.9%
5 88
1.7%
6 119
2.3%
7 132
2.6%
8 120
2.3%
9 148
2.9%
10 151
2.9%
11 171
3.3%
12 156
3%
13 148
2.9%
14 162
3.1%
15 132
2.6%
16 152
2.9%
17 156
3%
18 106
2%
19 122
2.4%
20 100
1.9%
21 116
2.2%
22 93
1.8%
23 89
1.7%
24 77
1.5%
25 82
1.6%
26 80
1.5%
27 63
1.2%
28 66
1.3%
29 58
1.1%
30 51
1%
31 48
0.9%
32 46
0.9%
33 48
0.9%
34 49
0.9%
35 63
1.2%
36 48
0.9%
37 43
0.8%
38 54
1%
39 43
0.8%
40 55
1.1%
41 43
0.8%
42 35
0.7%
43 41
0.8%
44 32
0.6%
45 37
0.7%
46 33
0.6%
47 41
0.8%
48 53
1%
49 39
0.8%
50 44
0.9%
51 47
0.9%
52 34
0.7%
53 39
0.8%
54 42
0.8%
55 37
0.7%
56 29
0.6%
57 32
0.6%
58 37
0.7%
59 30
0.6%
60 29
0.6%
61 31
0.6%
62 32
0.6%
63 30
0.6%
64 36
0.7%
65 30
0.6%
66 20
0.4%
67 26
0.5%
68 28
0.5%
69 24
0.5%
70 28
0.5%
71 33
0.6%
72 21
0.4%
73 28
0.5%
74 20
0.4%
75 23
0.4%
76 27
0.5%
77 34
0.7%
78 23
0.4%
79 27
0.5%
80 20
0.4%
81 26
0.5%
82 28
0.5%
83 16
0.3%
84 16
0.3%
85 20
0.4%
86 20
0.4%
87 22
0.4%
88 7
0.1%
89 13
0.3%
90 10
0.2%
91 6
0.1%
92 9
0.2%
93 4
0.1%
94 2
0%
95 8
0.2%
96 5
0.1%
97 8
0.2%
98 3
0.1%
99 6
0.1%
102 1
0%
103 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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