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
District Name (district)
Data file: vup_S7D_large_crop.dta
Overview
Valid:
4613
Invalid:
-
Minimum:
11
Maximum:
57
Type:
Discrete
Decimal:
0
Start:
21
End:
22
Width:
2
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 135 |
2.9%
|
| 12 | Gasabo | 478 |
10.4%
|
| 13 | Kicukiro | 248 |
5.4%
|
| 21 | Nyanza | 52 |
1.1%
|
| 22 | Gisagara | 205 |
4.4%
|
| 23 | Nyaruguru | 195 |
4.2%
|
| 24 | Huye | 73 |
1.6%
|
| 25 | Nyamagabe | 118 |
2.6%
|
| 26 | Ruhango | 165 |
3.6%
|
| 27 | Muhanga | 128 |
2.8%
|
| 28 | Kamonyi | 42 |
0.9%
|
| 31 | Karongi | 80 |
1.7%
|
| 32 | Rutsiro | 42 |
0.9%
|
| 33 | Rubavu | 38 |
0.8%
|
| 34 | Nyabihu | 86 |
1.9%
|
| 35 | Ngororero | 57 |
1.2%
|
| 36 | Rusizi | 75 |
1.6%
|
| 37 | Nyamasheke | 198 |
4.3%
|
| 41 | Rulindo | 226 |
4.9%
|
| 42 | Gakenke | 223 |
4.8%
|
| 43 | Musanze | 142 |
3.1%
|
| 44 | Burera | 264 |
5.7%
|
| 45 | Gicumbi | 303 |
6.6%
|
| 51 | Rwamagana | 133 |
2.9%
|
| 52 | Nyagatare | 122 |
2.6%
|
| 53 | Gatsibo | 194 |
4.2%
|
| 54 | Kayonza | 129 |
2.8%
|
| 55 | Kirehe | 145 |
3.1%
|
| 56 | Ngoma | 180 |
3.9%
|
| 57 | Bugesera | 137 |
3%
|
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.