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    Home / Central Data Catalog / RWA-NISR-EICV5-VUP-2016-2017-V01 / variable [F35]
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 contributed in last 12 months (s10c2q10)

Data file: vup_S10C2_Tontine

Overview

Valid: 1464
Invalid: 3113
Type: Discrete
Decimal: 0
Start: 52
End: 57
Width: 6
Range: 0 - 130000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not applicable 8
0.5%
100 17
1.2%
120 1
0.1%
150 2
0.1%
170 1
0.1%
200 72
4.9%
240 1
0.1%
250 11
0.8%
260 1
0.1%
266 1
0.1%
270 1
0.1%
300 22
1.5%
333 2
0.1%
350 3
0.2%
400 68
4.6%
416 1
0.1%
420 1
0.1%
430 1
0.1%
450 3
0.2%
500 97
6.6%
520 1
0.1%
550 1
0.1%
600 21
1.4%
608 1
0.1%
633 1
0.1%
670 1
0.1%
700 5
0.3%
750 5
0.3%
800 93
6.4%
801 1
0.1%
830 1
0.1%
833 2
0.1%
840 1
0.1%
850 1
0.1%
880 2
0.1%
900 4
0.3%
980 1
0.1%
1000 155
10.6%
1050 2
0.1%
1100 24
1.6%
1200 49
3.3%
1250 2
0.1%
1300 2
0.1%
1316 1
0.1%
1400 7
0.5%
1500 26
1.8%
1600 31
2.1%
1625 1
0.1%
1650 1
0.1%
1660 1
0.1%
1680 2
0.1%
1700 4
0.3%
1800 9
0.6%
1900 2
0.1%
2000 122
8.3%
2100 5
0.3%
2200 12
0.8%
2250 2
0.1%
2400 33
2.3%
2500 17
1.2%
2600 7
0.5%
2700 1
0.1%
2800 10
0.7%
2933 1
0.1%
2950 1
0.1%
3000 32
2.2%
3065 1
0.1%
3150 1
0.1%
3200 11
0.8%
3300 4
0.3%
3400 1
0.1%
3500 8
0.5%
3600 7
0.5%
3800 1
0.1%
4000 76
5.2%
4200 7
0.5%
4330 1
0.1%
4400 9
0.6%
4500 2
0.1%
4550 1
0.1%
4600 1
0.1%
4800 13
0.9%
5000 59
4%
5100 1
0.1%
5200 14
1%
5400 3
0.2%
5500 7
0.5%
5600 2
0.1%
6000 26
1.8%
6200 1
0.1%
6400 6
0.4%
6500 5
0.3%
7000 5
0.3%
7200 3
0.2%
7300 1
0.1%
7500 2
0.1%
8000 27
1.8%
8200 1
0.1%
8300 1
0.1%
8400 4
0.3%
8500 1
0.1%
8800 6
0.4%
9000 5
0.3%
9600 1
0.1%
9700 1
0.1%
9830 1
0.1%
10000 23
1.6%
10500 1
0.1%
10600 1
0.1%
11000 1
0.1%
11500 1
0.1%
12000 7
0.5%
12160 1
0.1%
12600 1
0.1%
13200 1
0.1%
13500 1
0.1%
13750 1
0.1%
14000 4
0.3%
14400 1
0.1%
14500 1
0.1%
15000 9
0.6%
15600 1
0.1%
16000 4
0.3%
17000 1
0.1%
17600 1
0.1%
18100 1
0.1%
19165 1
0.1%
20000 4
0.3%
20400 1
0.1%
22000 1
0.1%
22600 1
0.1%
23400 1
0.1%
24500 1
0.1%
25000 1
0.1%
25600 1
0.1%
26000 1
0.1%
28000 2
0.1%
28200 1
0.1%
28500 1
0.1%
30000 10
0.7%
31500 1
0.1%
32000 2
0.1%
36000 1
0.1%
38400 1
0.1%
40000 3
0.2%
41000 1
0.1%
44500 1
0.1%
44800 1
0.1%
50000 2
0.1%
52350 1
0.1%
54200 1
0.1%
60000 2
0.1%
64000 1
0.1%
70000 1
0.1%
72000 1
0.1%
80000 3
0.2%
90000 2
0.1%
99000 1
0.1%
100000 2
0.1%
120000 1
0.1%
130000 1
0.1%
Sysmiss 3113
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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