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    Home / Central Data Catalog / RWA-NISR-EICV5-VUP-2016-2017-V01 / variable [F20]
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

Visit 8 (s8a3q10)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 114
End: 118
Width: 5
Range: 0 - 11000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 58488
96.2%
1 1
0%
3 1
0%
10 1
0%
20 150
0.2%
25 2
0%
26 1
0%
30 11
0%
40 11
0%
50 271
0.4%
60 4
0%
70 9
0%
75 1
0%
80 5
0%
90 1
0%
100 670
1.1%
110 38
0.1%
120 55
0.1%
130 15
0%
140 14
0%
150 70
0.1%
160 3
0%
170 10
0%
180 8
0%
200 218
0.4%
210 28
0%
220 40
0.1%
230 22
0%
240 13
0%
250 34
0.1%
260 1
0%
270 3
0%
280 1
0%
290 1
0%
300 88
0.1%
310 8
0%
320 23
0%
330 14
0%
340 10
0%
350 12
0%
360 1
0%
370 3
0%
380 1
0%
390 1
0%
400 57
0.1%
410 4
0%
420 13
0%
430 6
0%
440 4
0%
450 19
0%
460 1
0%
470 1
0%
500 59
0.1%
510 5
0%
520 5
0%
530 7
0%
540 6
0%
550 3
0%
580 1
0%
600 43
0.1%
610 7
0%
620 6
0%
630 1
0%
640 1
0%
650 1
0%
700 11
0%
720 3
0%
740 2
0%
750 3
0%
760 1
0%
800 14
0%
810 1
0%
820 1
0%
830 1
0%
850 1
0%
870 1
0%
900 9
0%
910 2
0%
930 2
0%
980 1
0%
1000 39
0.1%
1010 1
0%
1020 3
0%
1030 1
0%
1070 1
0%
1100 1
0%
1120 1
0%
1130 1
0%
1200 10
0%
1210 2
0%
1220 4
0%
1250 2
0%
1300 4
0%
1330 1
0%
1400 4
0%
1500 12
0%
1510 1
0%
1560 1
0%
1600 4
0%
1700 2
0%
1740 1
0%
1800 4
0%
1900 1
0%
2000 8
0%
2200 2
0%
2230 1
0%
2400 2
0%
2500 9
0%
2700 1
0%
2810 1
0%
2820 1
0%
3000 7
0%
3270 1
0%
3500 2
0%
3550 1
0%
3700 1
0%
3980 1
0%
4000 2
0%
4500 1
0%
4800 2
0%
5000 3
0%
5020 1
0%
5400 1
0%
5460 1
0%
6000 3
0%
6500 1
0%
7000 2
0%
7200 1
0%
7500 1
0%
8000 3
0%
10000 1
0%
11000 1
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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