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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
28656
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 2 (s8a3q4)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 86
End: 89
Width: 4
Range: 0 - 8000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 58507
96.2%
20 178
0.3%
25 3
0%
30 11
0%
40 17
0%
50 284
0.5%
60 2
0%
70 9
0%
80 8
0%
100 658
1.1%
110 31
0.1%
120 39
0.1%
130 15
0%
140 10
0%
150 72
0.1%
160 2
0%
170 1
0%
180 9
0%
190 2
0%
200 211
0.3%
210 31
0.1%
220 44
0.1%
230 25
0%
240 11
0%
250 23
0%
260 2
0%
270 7
0%
280 1
0%
300 93
0.2%
310 12
0%
320 15
0%
330 13
0%
340 2
0%
350 7
0%
360 1
0%
370 3
0%
380 1
0%
390 1
0%
400 57
0.1%
410 5
0%
420 14
0%
430 5
0%
440 3
0%
450 15
0%
460 1
0%
470 2
0%
480 2
0%
500 80
0.1%
510 6
0%
520 5
0%
530 6
0%
550 3
0%
560 1
0%
570 1
0%
580 1
0%
590 1
0%
600 40
0.1%
610 2
0%
620 7
0%
630 1
0%
640 1
0%
660 2
0%
680 1
0%
700 9
0%
720 2
0%
740 1
0%
770 1
0%
790 1
0%
800 11
0%
820 1
0%
830 2
0%
850 3
0%
900 11
0%
910 1
0%
920 1
0%
980 2
0%
1000 35
0.1%
1020 5
0%
1030 2
0%
1050 1
0%
1100 6
0%
1120 1
0%
1140 1
0%
1200 19
0%
1220 1
0%
1300 3
0%
1400 1
0%
1490 1
0%
1500 12
0%
1510 1
0%
1520 1
0%
1600 2
0%
1720 1
0%
1730 1
0%
1750 1
0%
1800 6
0%
1810 1
0%
1820 1
0%
2000 12
0%
2180 1
0%
2340 1
0%
2350 1
0%
2420 1
0%
2500 6
0%
2520 1
0%
2700 1
0%
2800 1
0%
2900 1
0%
3000 8
0%
3010 1
0%
3500 1
0%
4000 5
0%
4460 1
0%
4500 1
0%
4520 1
0%
4800 1
0%
5000 2
0%
5160 1
0%
6000 1
0%
6630 1
0%
7000 2
0%
7500 1
0%
8000 3
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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