Integrated Household Living Conditions Survey (EICV5), 2016-2017, VUP
Rwanda, 2016 - 2017
Get Microdata
Reference ID
RWA-NISR-EICV5-VUP-2016-2017-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Created on
Feb 04, 2019
Last modified
Feb 04, 2019
Page views
791561
Downloads
85860
- 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 3 (s8a3q5)
Data file: vup_S8A3_expenditure
Overview
Valid:
60828
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
90
End:
94
Width:
5
Range:
0 - 10800
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | None | 58597 |
96.3%
|
| 20 | 159 |
0.3%
|
|
| 25 | 4 |
0%
|
|
| 30 | 9 |
0%
|
|
| 40 | 14 |
0%
|
|
| 50 | 269 |
0.4%
|
|
| 60 | 7 |
0%
|
|
| 70 | 8 |
0%
|
|
| 80 | 1 |
0%
|
|
| 90 | 2 |
0%
|
|
| 100 | 607 |
1%
|
|
| 110 | 45 |
0.1%
|
|
| 120 | 47 |
0.1%
|
|
| 130 | 21 |
0%
|
|
| 140 | 20 |
0%
|
|
| 150 | 60 |
0.1%
|
|
| 160 | 4 |
0%
|
|
| 170 | 4 |
0%
|
|
| 180 | 7 |
0%
|
|
| 200 | 190 |
0.3%
|
|
| 210 | 27 |
0%
|
|
| 220 | 38 |
0.1%
|
|
| 230 | 19 |
0%
|
|
| 240 | 17 |
0%
|
|
| 250 | 22 |
0%
|
|
| 260 | 1 |
0%
|
|
| 270 | 4 |
0%
|
|
| 280 | 3 |
0%
|
|
| 300 | 85 |
0.1%
|
|
| 310 | 17 |
0%
|
|
| 320 | 19 |
0%
|
|
| 330 | 8 |
0%
|
|
| 335 | 1 |
0%
|
|
| 340 | 8 |
0%
|
|
| 350 | 11 |
0%
|
|
| 360 | 2 |
0%
|
|
| 370 | 5 |
0%
|
|
| 390 | 1 |
0%
|
|
| 400 | 50 |
0.1%
|
|
| 410 | 2 |
0%
|
|
| 420 | 15 |
0%
|
|
| 430 | 1 |
0%
|
|
| 440 | 1 |
0%
|
|
| 450 | 19 |
0%
|
|
| 460 | 2 |
0%
|
|
| 470 | 1 |
0%
|
|
| 480 | 4 |
0%
|
|
| 500 | 64 |
0.1%
|
|
| 510 | 4 |
0%
|
|
| 520 | 8 |
0%
|
|
| 530 | 5 |
0%
|
|
| 540 | 4 |
0%
|
|
| 550 | 1 |
0%
|
|
| 600 | 41 |
0.1%
|
|
| 610 | 4 |
0%
|
|
| 620 | 3 |
0%
|
|
| 640 | 2 |
0%
|
|
| 650 | 4 |
0%
|
|
| 660 | 1 |
0%
|
|
| 670 | 1 |
0%
|
|
| 700 | 18 |
0%
|
|
| 720 | 3 |
0%
|
|
| 750 | 1 |
0%
|
|
| 760 | 1 |
0%
|
|
| 780 | 1 |
0%
|
|
| 800 | 23 |
0%
|
|
| 820 | 1 |
0%
|
|
| 840 | 1 |
0%
|
|
| 850 | 2 |
0%
|
|
| 900 | 10 |
0%
|
|
| 950 | 1 |
0%
|
|
| 1000 | 38 |
0.1%
|
|
| 1020 | 8 |
0%
|
|
| 1030 | 2 |
0%
|
|
| 1040 | 1 |
0%
|
|
| 1050 | 1 |
0%
|
|
| 1070 | 2 |
0%
|
|
| 1100 | 2 |
0%
|
|
| 1130 | 1 |
0%
|
|
| 1150 | 1 |
0%
|
|
| 1200 | 6 |
0%
|
|
| 1220 | 3 |
0%
|
|
| 1250 | 2 |
0%
|
|
| 1280 | 1 |
0%
|
|
| 1300 | 2 |
0%
|
|
| 1330 | 1 |
0%
|
|
| 1400 | 2 |
0%
|
|
| 1420 | 1 |
0%
|
|
| 1500 | 13 |
0%
|
|
| 1520 | 2 |
0%
|
|
| 1600 | 4 |
0%
|
|
| 1700 | 3 |
0%
|
|
| 1720 | 3 |
0%
|
|
| 1800 | 7 |
0%
|
|
| 1870 | 1 |
0%
|
|
| 1900 | 1 |
0%
|
|
| 2000 | 13 |
0%
|
|
| 2010 | 1 |
0%
|
|
| 2070 | 1 |
0%
|
|
| 2100 | 1 |
0%
|
|
| 2180 | 1 |
0%
|
|
| 2200 | 1 |
0%
|
|
| 2280 | 1 |
0%
|
|
| 2340 | 1 |
0%
|
|
| 2400 | 2 |
0%
|
|
| 2500 | 4 |
0%
|
|
| 2510 | 1 |
0%
|
|
| 2540 | 1 |
0%
|
|
| 2600 | 1 |
0%
|
|
| 2800 | 1 |
0%
|
|
| 2810 | 1 |
0%
|
|
| 3000 | 9 |
0%
|
|
| 3100 | 1 |
0%
|
|
| 3300 | 1 |
0%
|
|
| 3500 | 3 |
0%
|
|
| 4000 | 3 |
0%
|
|
| 4020 | 1 |
0%
|
|
| 4050 | 1 |
0%
|
|
| 4750 | 1 |
0%
|
|
| 5000 | 1 |
0%
|
|
| 5430 | 1 |
0%
|
|
| 7000 | 2 |
0%
|
|
| 7500 | 1 |
0%
|
|
| 8000 | 1 |
0%
|
|
| 10800 | 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.