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
Page views
28738
Downloads
199
- 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
Amount received from the sale in the last 12 months (s7b1q6)
Data file: vup_S7B1_land_Agriculture.dta
Overview
Valid:
145
Invalid:
1499
Minimum:
4000
Maximum:
6000000
Type:
Discrete
Decimal:
0
Start:
54
End:
60
Width:
7
Range:
4000 - 6000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 4000 | 1 |
0.7%
|
|
| 15000 | 1 |
0.7%
|
|
| 20000 | 3 |
2.1%
|
|
| 25000 | 2 |
1.4%
|
|
| 30000 | 10 |
6.9%
|
|
| 35000 | 4 |
2.8%
|
|
| 40000 | 5 |
3.4%
|
|
| 50000 | 10 |
6.9%
|
|
| 60000 | 5 |
3.4%
|
|
| 65000 | 1 |
0.7%
|
|
| 70000 | 3 |
2.1%
|
|
| 80000 | 3 |
2.1%
|
|
| 90000 | 3 |
2.1%
|
|
| 100000 | 9 |
6.2%
|
|
| 100500 | 1 |
0.7%
|
|
| 105000 | 1 |
0.7%
|
|
| 110000 | 1 |
0.7%
|
|
| 120000 | 8 |
5.5%
|
|
| 130000 | 1 |
0.7%
|
|
| 140000 | 1 |
0.7%
|
|
| 150000 | 13 |
9%
|
|
| 170000 | 2 |
1.4%
|
|
| 180000 | 3 |
2.1%
|
|
| 190000 | 1 |
0.7%
|
|
| 200000 | 12 |
8.3%
|
|
| 220000 | 2 |
1.4%
|
|
| 250000 | 5 |
3.4%
|
|
| 300000 | 7 |
4.8%
|
|
| 330000 | 1 |
0.7%
|
|
| 370000 | 1 |
0.7%
|
|
| 400000 | 5 |
3.4%
|
|
| 450000 | 2 |
1.4%
|
|
| 500000 | 3 |
2.1%
|
|
| 600000 | 4 |
2.8%
|
|
| 650000 | 1 |
0.7%
|
|
| 700000 | 3 |
2.1%
|
|
| 750000 | 1 |
0.7%
|
|
| 950000 | 1 |
0.7%
|
|
| 1700000 | 1 |
0.7%
|
|
| 2160000 | 1 |
0.7%
|
|
| 2250000 | 1 |
0.7%
|
|
| 4000000 | 1 |
0.7%
|
|
| 6000000 | 1 |
0.7%
|
|
| Sysmiss | 1499 |
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.