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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 5 (s8a3q7)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 100
End: 104
Width: 5
Range: 0 - 55000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 58488
96.2%
10 1
0%
20 156
0.3%
25 2
0%
30 10
0%
40 11
0%
50 299
0.5%
60 7
0%
70 7
0%
75 1
0%
80 3
0%
100 693
1.1%
110 44
0.1%
120 55
0.1%
130 14
0%
140 17
0%
150 54
0.1%
160 1
0%
170 8
0%
180 5
0%
190 3
0%
200 200
0.3%
210 21
0%
220 35
0.1%
230 26
0%
240 14
0%
250 18
0%
260 1
0%
270 8
0%
280 2
0%
290 1
0%
300 110
0.2%
310 11
0%
320 21
0%
330 6
0%
340 2
0%
350 8
0%
360 1
0%
370 2
0%
390 2
0%
400 44
0.1%
410 4
0%
420 9
0%
430 4
0%
440 1
0%
450 17
0%
460 1
0%
470 2
0%
480 3
0%
500 67
0.1%
510 6
0%
520 10
0%
530 4
0%
540 2
0%
550 7
0%
560 1
0%
570 1
0%
590 1
0%
600 33
0.1%
610 2
0%
620 8
0%
630 2
0%
650 1
0%
660 1
0%
700 16
0%
710 1
0%
720 4
0%
730 1
0%
750 4
0%
800 18
0%
820 3
0%
830 1
0%
850 1
0%
900 7
0%
910 1
0%
920 3
0%
930 2
0%
1000 26
0%
1010 1
0%
1020 4
0%
1030 2
0%
1100 1
0%
1130 1
0%
1140 1
0%
1200 12
0%
1210 1
0%
1220 4
0%
1260 1
0%
1300 3
0%
1340 1
0%
1400 3
0%
1450 1
0%
1500 15
0%
1520 2
0%
1550 1
0%
1600 2
0%
1620 1
0%
1700 3
0%
1720 2
0%
1730 1
0%
1800 7
0%
1870 1
0%
2000 11
0%
2210 1
0%
2250 1
0%
2300 1
0%
2340 1
0%
2400 1
0%
2410 1
0%
2500 4
0%
2540 1
0%
2700 1
0%
3000 11
0%
3010 1
0%
3100 1
0%
3180 1
0%
3210 1
0%
3220 1
0%
3400 1
0%
3500 2
0%
3520 1
0%
3600 1
0%
3770 1
0%
3900 1
0%
4000 2
0%
4170 1
0%
4200 1
0%
4500 1
0%
5000 3
0%
6000 2
0%
6500 1
0%
6900 1
0%
7000 1
0%
8000 2
0%
8600 1
0%
9000 1
0%
9100 1
0%
10000 1
0%
10800 1
0%
11200 1
0%
14000 1
0%
15000 1
0%
55000 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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