Integrated Household Living Conditions Survey 2016-2017
Rwanda, 2016 - 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- cs_S0_S5_Household.dta
- cs_S1_S2_S3_S4_S6A_S6E_Person.dta
- cs_S5F_Access_to_services.dta
- cs_S6B_Employement_6C_Salaried_S6D_Business.dta
- cs_S7A1_livestock.dta
- cs_S7A2_livestock.dta
- cs_S7A3_livestock.dta
- cs_S7A4_livestock.dta
- cs_S7B1_land_Agriculture.dta
- cs_S7B2_land_Agriculture.dta
- cs_S7C_parcels.dta
- cs_S7D_large_crop.dta
- cs_S7E_small_crop.dta
- cs_S7F_income_agriculture.dta
- cs_S7G_expenditure_agriculture.dta
- cs_S7H_transformation_agriculture.dta
- cs_S8A1_expenditure.dta
- cs_S8A2_expenditure.dta
- cs_S8A3_expenditure.dta
- cs_S8B_expenditure.dta
- cs_S8C_farming.dta
- cs_S9A_transfers_out.dta
- cs_S9B_transfers_in.dta
- cs_S9C_Vup_ubudehe_and_Rssp_schemes.dta
- cs_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
- cs_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
- cs_S9D_other_income.dta
- cs_S9E_Other_expenditure.dta
- cs_S10A1_Credits.dta
- cs_S10A2_Listing_of_credits.dta
- cs_S10B1_Durable_household_goods.dta
- cs_S10B2_Durable_household_goods.dta
- cs_S10C1_Savings.dta
- cs_S10C2_Tontine.dta
- EICV5_Poverty_file.dta
District Name (district)
Data file: cs_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
Overview
Valid:
137
Invalid:
-
Minimum:
21
Maximum:
57
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
21 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 0 |
0%
|
| 12 | Gasabo | 0 |
0%
|
| 13 | Kicukiro | 0 |
0%
|
| 21 | Nyanza | 6 |
4.4%
|
| 22 | Gisagara | 4 |
2.9%
|
| 23 | Nyaruguru | 1 |
0.7%
|
| 24 | Huye | 8 |
5.8%
|
| 25 | Nyamagabe | 8 |
5.8%
|
| 26 | Ruhango | 5 |
3.6%
|
| 27 | Muhanga | 2 |
1.5%
|
| 28 | Kamonyi | 0 |
0%
|
| 31 | Karongi | 7 |
5.1%
|
| 32 | Rutsiro | 2 |
1.5%
|
| 33 | Rubavu | 0 |
0%
|
| 34 | Nyabihu | 3 |
2.2%
|
| 35 | Ngororero | 3 |
2.2%
|
| 36 | Rusizi | 8 |
5.8%
|
| 37 | Nyamasheke | 8 |
5.8%
|
| 41 | Rulindo | 5 |
3.6%
|
| 42 | Gakenke | 15 |
10.9%
|
| 43 | Musanze | 3 |
2.2%
|
| 44 | Burera | 8 |
5.8%
|
| 45 | Gicumbi | 4 |
2.9%
|
| 51 | Rwamagana | 4 |
2.9%
|
| 52 | Nyagatare | 3 |
2.2%
|
| 53 | Gatsibo | 3 |
2.2%
|
| 54 | Kayonza | 4 |
2.9%
|
| 55 | Kirehe | 2 |
1.5%
|
| 56 | Ngoma | 4 |
2.9%
|
| 57 | Bugesera | 17 |
12.4%
|
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.