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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
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  • 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 10 (s8a3q12)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 124
End: 128
Width: 5
Range: 0 - 12500
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 59882
98.4%
20 59
0.1%
21 1
0%
25 1
0%
30 7
0%
50 52
0.1%
60 4
0%
80 3
0%
100 222
0.4%
110 21
0%
120 19
0%
130 3
0%
140 3
0%
150 13
0%
170 3
0%
200 110
0.2%
210 14
0%
220 21
0%
230 4
0%
240 2
0%
250 7
0%
260 2
0%
280 1
0%
300 64
0.1%
310 7
0%
320 11
0%
330 4
0%
340 2
0%
350 3
0%
360 2
0%
380 1
0%
400 40
0.1%
410 2
0%
420 10
0%
430 1
0%
450 10
0%
470 2
0%
500 34
0.1%
510 2
0%
520 3
0%
525 1
0%
530 1
0%
550 2
0%
600 17
0%
610 4
0%
620 3
0%
630 1
0%
650 2
0%
700 7
0%
720 6
0%
730 1
0%
750 5
0%
800 10
0%
820 1
0%
900 6
0%
920 2
0%
970 1
0%
1000 20
0%
1010 1
0%
1020 4
0%
1050 1
0%
1080 1
0%
1120 1
0%
1200 9
0%
1220 4
0%
1230 1
0%
1320 1
0%
1370 1
0%
1400 1
0%
1500 8
0%
1510 1
0%
1600 1
0%
1700 1
0%
1720 1
0%
1800 7
0%
1900 1
0%
2000 5
0%
2130 1
0%
2150 1
0%
2200 1
0%
2220 1
0%
2340 1
0%
2400 1
0%
2500 2
0%
2600 1
0%
2810 1
0%
2900 1
0%
3000 3
0%
3010 1
0%
3020 1
0%
4000 1
0%
4050 1
0%
4200 1
0%
4400 1
0%
4500 1
0%
4600 1
0%
5000 1
0%
5600 1
0%
6000 4
0%
6300 1
0%
7000 1
0%
7500 1
0%
8000 3
0%
8500 1
0%
12500 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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