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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
28888
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 6 (s8a3q8)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 105
End: 108
Width: 4
Range: 0 - 8500
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 58670
96.5%
6 1
0%
10 1
0%
20 135
0.2%
25 1
0%
30 15
0%
35 1
0%
40 17
0%
50 232
0.4%
60 4
0%
70 6
0%
80 2
0%
90 1
0%
100 623
1%
110 33
0.1%
120 54
0.1%
130 14
0%
140 13
0%
150 56
0.1%
160 3
0%
170 7
0%
180 2
0%
200 196
0.3%
210 18
0%
220 43
0.1%
230 26
0%
240 19
0%
250 25
0%
260 1
0%
270 9
0%
280 1
0%
290 1
0%
300 89
0.1%
310 10
0%
320 32
0.1%
330 7
0%
340 3
0%
350 11
0%
380 2
0%
400 49
0.1%
410 4
0%
420 12
0%
430 7
0%
440 1
0%
450 11
0%
470 1
0%
500 65
0.1%
510 6
0%
520 9
0%
530 4
0%
540 3
0%
550 1
0%
560 1
0%
570 1
0%
600 32
0.1%
610 4
0%
620 4
0%
630 3
0%
640 1
0%
650 3
0%
670 1
0%
700 12
0%
720 5
0%
750 1
0%
760 1
0%
800 17
0%
820 4
0%
860 1
0%
900 16
0%
920 1
0%
930 2
0%
980 1
0%
1000 35
0.1%
1010 2
0%
1020 5
0%
1030 2
0%
1040 1
0%
1100 4
0%
1120 1
0%
1200 12
0%
1220 2
0%
1250 1
0%
1300 4
0%
1320 1
0%
1340 1
0%
1400 1
0%
1420 2
0%
1450 1
0%
1500 14
0%
1520 2
0%
1570 1
0%
1600 5
0%
1620 1
0%
1700 1
0%
1750 1
0%
1800 4
0%
1870 1
0%
2000 11
0%
2350 1
0%
2400 1
0%
2600 2
0%
2820 1
0%
2850 1
0%
2900 1
0%
2920 1
0%
3000 3
0%
3110 1
0%
3200 1
0%
3210 1
0%
3350 1
0%
3540 1
0%
3550 1
0%
3600 1
0%
3750 1
0%
4000 4
0%
4600 1
0%
5000 4
0%
5300 1
0%
5900 1
0%
6000 4
0%
7000 5
0%
7500 2
0%
8000 1
0%
8100 1
0%
8500 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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