Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel
Rwanda, 2016 - 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- VUP_Panel_for_merge.dta
- vup_S0_S5_Household.dta
- vup_S1_S2_S3_S4_S6A_S6E_Person.dta
- vup_S5F_Access_to_services.dta
- vup_S6B_Employement_6C_Salaried_S6D_Business.dta
- vup_S7A1_livestock.dta
- vup_S7A2_livestock.dta
- vup_S7A3_livestock.dta
- vup_S7A4_livestock.dta
- vup_S7B1_land_Agriculture.dta
- vup_S7B2_land_Agriculture.dta
- vup_S7C_parcels.dta
- vup_S7D_large_crop.dta
- vup_S7E_small_crop.dta
- vup_S7F_income_agriculture.dta
- vup_S7G_expenditure_agriculture.dta
- vup_S7H_transformation_agriculture.dta
- vup_S8A1_expenditure.dta
- vup_S8A2_expenditure.dta
- vup_S8A3_expenditure.dta
- vup_S8B_expenditure.dta
- vup_S8C_farming.dta
- vup_S9A_transfers_out.dta
- vup_S9B_transfers_in.dta
- vup_S9C_Vup_ubudehe_and_Rssp_schemes.dta
- vup_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
- vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
- vup_S9D_other_income.dta
- vup_S9E_Other_expenditure.dta
- vup_S10A1_Credits.dta
- vup_S10A2_Listing_of_credits.dta
- vup_S10B1_Durable_household_goods.dta
- vup_S10B2_Durable_household_goods.dta
- vup_S10C1_Savings.dta
- vup_S10C2_Tontine.dta
Code crop planted (s7cq18)
Data file: vup_S7C_parcels.dta
Overview
Valid:
720
Invalid:
3909
Minimum:
1
Maximum:
66
Type:
Discrete
Decimal:
0
Start:
105
End:
106
Width:
2
Range:
1 - 66
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Rice | 30 |
4.2%
|
| 2 | Maize | 328 |
45.6%
|
| 3 | Sorghum | 6 |
0.8%
|
| 4 | Wheat | 13 |
1.8%
|
| 5 | Uburo | 0 |
0%
|
| 6 | Potato | 20 |
2.8%
|
| 7 | Soybeans | 11 |
1.5%
|
| 8 | Peanut | 6 |
0.8%
|
| 9 | Bean | 238 |
33.1%
|
| 10 | Small weight | 6 |
0.8%
|
| 11 | Sunflower _ibihwagari_ | 0 |
0%
|
| 12 | Coffee | 3 |
0.4%
|
| 13 | Fresh Maize | 2 |
0.3%
|
| 14 | Cassava cooking | 6 |
0.8%
|
| 15 | Cassava for flour | 5 |
0.7%
|
| 16 | Colocasia | 0 |
0%
|
| 17 | Sweet | 11 |
1.5%
|
| 18 | Yam _Amateke_ | 0 |
0%
|
| 19 | Banana fruits | 0 |
0%
|
| 20 | Banana cooking | 11 |
1.5%
|
| 21 | Banana Beer | 3 |
0.4%
|
| 22 | Mangoes | 0 |
0%
|
| 23 | Papayas or pawpaw | 0 |
0%
|
| 24 | Avocado | 1 |
0.1%
|
| 25 | Pineapples | 0 |
0%
|
| 26 | Guave | 0 |
0%
|
| 27 | Orange | 0 |
0%
|
| 28 | Mandarins | 0 |
0%
|
| 29 | Lemon or citron | 0 |
0%
|
| 30 | Pamplemousse | 0 |
0%
|
| 31 | Lime or Maracouja | 0 |
0%
|
| 32 | Plums | 0 |
0%
|
| 33 | Strawberriers | 0 |
0%
|
| 34 | Coeur de boeuf | 0 |
0%
|
| 35 | Others fruits _Ibifenesi_ | 0 |
0%
|
| 36 | Other fruits | 0 |
0%
|
| 37 | Fresh Beans | 0 |
0%
|
| 38 | Green Beans | 0 |
0%
|
| 39 | Tomato | 5 |
0.7%
|
| 40 | Onions | 1 |
0.1%
|
| 41 | Garlic | 0 |
0%
|
| 42 | Pepper | 0 |
0%
|
| 43 | Sweet Pepper | 0 |
0%
|
| 44 | Squash or Vegetable marrows | 0 |
0%
|
| 45 | Zucchini or cucumber | 1 |
0.1%
|
| 46 | Eggplant | 5 |
0.7%
|
| 47 | Carotts | 1 |
0.1%
|
| 48 | Leeks | 0 |
0%
|
| 49 | Cabbages | 0 |
0%
|
| 50 | Lettuce or Laitue | 0 |
0%
|
| 51 | Parsley | 0 |
0%
|
| 52 | Seleri | 0 |
0%
|
| 53 | Mushroom or spinac | 0 |
0%
|
| 54 | Ibishayote | 0 |
0%
|
| 55 | Fresh small weight | 1 |
0.1%
|
| 56 | Mushrooms | 0 |
0%
|
| 57 | Cassava leaves | 0 |
0%
|
| 58 | Green vegetables _Inyabutongo_ | 2 |
0.3%
|
| 59 | Imbwija | 0 |
0%
|
| 60 | Ibisusa | 0 |
0%
|
| 61 | Umushogoro | 0 |
0%
|
| 62 | Isogo | 0 |
0%
|
| 63 | Other vegetables | 0 |
0%
|
| 64 | Tea | 0 |
0%
|
| 65 | Cane sugar | 0 |
0%
|
| 66 | Pyretre _Ibireti_ | 4 |
0.6%
|
| 67 | Ibobere | 0 |
0%
|
| 68 | Macadamiya | 0 |
0%
|
| 69 | Muringa | 0 |
0%
|
| 70 | Others | 0 |
0%
|
| Sysmiss | 3909 |
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.