Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.
Rwanda, 2016 - 2017
Get Microdata
Reference ID
RWA_2016-2017_EICV-W5-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Metadata
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
46136
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
Current unit price of the product (s8cq15)
Data file: vup_S8C_farming
Overview
Valid:
30235
Invalid:
135809
Type:
Discrete
Decimal:
0
Start:
157
End:
160
Width:
4
Range:
0 - 5000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Not Applicable | 9191 |
30.4%
|
| 1 | 14 |
0%
|
|
| 10 | 2 |
0%
|
|
| 15 | 3 |
0%
|
|
| 20 | 21 |
0.1%
|
|
| 23 | 1 |
0%
|
|
| 25 | 7 |
0%
|
|
| 28 | 1 |
0%
|
|
| 29 | 1 |
0%
|
|
| 30 | 41 |
0.1%
|
|
| 31 | 1 |
0%
|
|
| 33 | 1 |
0%
|
|
| 35 | 21 |
0.1%
|
|
| 36 | 1 |
0%
|
|
| 38 | 1 |
0%
|
|
| 40 | 80 |
0.3%
|
|
| 42 | 1 |
0%
|
|
| 45 | 6 |
0%
|
|
| 50 | 490 |
1.6%
|
|
| 55 | 11 |
0%
|
|
| 60 | 85 |
0.3%
|
|
| 62 | 1 |
0%
|
|
| 65 | 21 |
0.1%
|
|
| 66 | 2 |
0%
|
|
| 70 | 140 |
0.5%
|
|
| 75 | 33 |
0.1%
|
|
| 80 | 164 |
0.5%
|
|
| 85 | 11 |
0%
|
|
| 90 | 33 |
0.1%
|
|
| 95 | 3 |
0%
|
|
| 100 | 2535 |
8.4%
|
|
| 110 | 6 |
0%
|
|
| 115 | 2 |
0%
|
|
| 120 | 120 |
0.4%
|
|
| 125 | 5 |
0%
|
|
| 130 | 21 |
0.1%
|
|
| 135 | 1 |
0%
|
|
| 140 | 16 |
0.1%
|
|
| 150 | 1385 |
4.6%
|
|
| 160 | 44 |
0.1%
|
|
| 166 | 1 |
0%
|
|
| 170 | 52 |
0.2%
|
|
| 180 | 214 |
0.7%
|
|
| 185 | 2 |
0%
|
|
| 190 | 14 |
0%
|
|
| 200 | 3911 |
12.9%
|
|
| 210 | 16 |
0.1%
|
|
| 215 | 4 |
0%
|
|
| 220 | 65 |
0.2%
|
|
| 227 | 3 |
0%
|
|
| 230 | 91 |
0.3%
|
|
| 240 | 30 |
0.1%
|
|
| 250 | 1558 |
5.2%
|
|
| 260 | 13 |
0%
|
|
| 264 | 1 |
0%
|
|
| 270 | 37 |
0.1%
|
|
| 280 | 61 |
0.2%
|
|
| 290 | 1 |
0%
|
|
| 300 | 2905 |
9.6%
|
|
| 310 | 1 |
0%
|
|
| 320 | 25 |
0.1%
|
|
| 325 | 1 |
0%
|
|
| 330 | 11 |
0%
|
|
| 340 | 2 |
0%
|
|
| 350 | 652 |
2.2%
|
|
| 360 | 4 |
0%
|
|
| 365 | 1 |
0%
|
|
| 370 | 17 |
0.1%
|
|
| 375 | 2 |
0%
|
|
| 380 | 22 |
0.1%
|
|
| 390 | 3 |
0%
|
|
| 400 | 1586 |
5.2%
|
|
| 410 | 1 |
0%
|
|
| 420 | 10 |
0%
|
|
| 430 | 9 |
0%
|
|
| 450 | 579 |
1.9%
|
|
| 460 | 1 |
0%
|
|
| 470 | 3 |
0%
|
|
| 480 | 13 |
0%
|
|
| 500 | 1560 |
5.2%
|
|
| 520 | 4 |
0%
|
|
| 533 | 1 |
0%
|
|
| 550 | 164 |
0.5%
|
|
| 600 | 569 |
1.9%
|
|
| 650 | 45 |
0.1%
|
|
| 680 | 1 |
0%
|
|
| 700 | 201 |
0.7%
|
|
| 750 | 24 |
0.1%
|
|
| 800 | 295 |
1%
|
|
| 850 | 8 |
0%
|
|
| 900 | 26 |
0.1%
|
|
| 950 | 2 |
0%
|
|
| 1000 | 387 |
1.3%
|
|
| 1050 | 1 |
0%
|
|
| 1100 | 14 |
0%
|
|
| 1150 | 1 |
0%
|
|
| 1200 | 152 |
0.5%
|
|
| 1250 | 1 |
0%
|
|
| 1300 | 10 |
0%
|
|
| 1400 | 11 |
0%
|
|
| 1500 | 122 |
0.4%
|
|
| 1600 | 6 |
0%
|
|
| 1700 | 4 |
0%
|
|
| 1800 | 7 |
0%
|
|
| 1900 | 1 |
0%
|
|
| 2000 | 76 |
0.3%
|
|
| 2030 | 1 |
0%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 31 |
0.1%
|
|
| 3000 | 42 |
0.1%
|
|
| 3300 | 1 |
0%
|
|
| 3500 | 2 |
0%
|
|
| 4000 | 9 |
0%
|
|
| 5000 | 10 |
0%
|
|
| Sysmiss | 135809 |
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.