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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2016-2017_EICV-W5-VUP_V01_EN_M_V01_A_OCS / variable [F20]
agricultural-surveys

Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.

Rwanda, 2016 - 2017
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Reference ID
RWA_2016-2017_EICV-W5-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
28626
Downloads
226
  • 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 7 (s8a3q9)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 109
End: 113
Width: 5
Range: 0 - 17800
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 58563
96.3%
20 149
0.2%
25 1
0%
30 8
0%
40 14
0%
50 258
0.4%
60 2
0%
70 8
0%
80 3
0%
90 1
0%
100 659
1.1%
110 34
0.1%
120 57
0.1%
130 15
0%
140 14
0%
150 55
0.1%
160 4
0%
170 14
0%
180 6
0%
200 216
0.4%
210 20
0%
220 38
0.1%
230 20
0%
240 14
0%
250 34
0.1%
270 3
0%
280 1
0%
300 94
0.2%
310 7
0%
320 21
0%
330 10
0%
340 5
0%
350 13
0%
360 1
0%
370 2
0%
380 1
0%
400 58
0.1%
410 5
0%
420 6
0%
430 3
0%
440 3
0%
450 15
0%
470 1
0%
480 1
0%
500 72
0.1%
510 7
0%
520 10
0%
530 7
0%
540 3
0%
550 8
0%
580 1
0%
600 41
0.1%
610 3
0%
620 7
0%
630 2
0%
640 1
0%
650 1
0%
700 11
0%
720 3
0%
730 1
0%
740 2
0%
750 1
0%
800 15
0%
820 2
0%
830 3
0%
840 2
0%
850 2
0%
860 2
0%
900 4
0%
910 1
0%
920 1
0%
960 1
0%
980 1
0%
1000 32
0.1%
1020 4
0%
1040 1
0%
1100 1
0%
1120 1
0%
1160 1
0%
1200 12
0%
1220 4
0%
1240 1
0%
1250 1
0%
1300 1
0%
1350 2
0%
1400 3
0%
1500 9
0%
1650 1
0%
1700 1
0%
1720 1
0%
1750 1
0%
1800 7
0%
1840 1
0%
1980 1
0%
2000 17
0%
2010 1
0%
2030 1
0%
2060 1
0%
2080 1
0%
2100 1
0%
2160 1
0%
2220 1
0%
2340 1
0%
2360 1
0%
2400 1
0%
2420 1
0%
2500 3
0%
2600 1
0%
2700 1
0%
2800 2
0%
2820 1
0%
3000 4
0%
3430 1
0%
3500 4
0%
3520 1
0%
3750 1
0%
4000 6
0%
4320 1
0%
4500 2
0%
4580 1
0%
4600 2
0%
4800 1
0%
5000 1
0%
5100 1
0%
6000 1
0%
7000 1
0%
8000 3
0%
10000 1
0%
11600 1
0%
17800 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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