Integrated Household Living Conditions Survey 2013-2014, Vision 2020 Umurenge Program
Rwanda, 2013 - 2014
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- vup_partb_filter_questions_hh.dta
-
vup_s0_s5_household.dta
.dta - vup_s1_s2_s3_s4_s6a_s6e_s6f_person.dta
-
vup_s5e_access
to services.dta -
vup_s7a1_livestock.dta
.dta - vup_s7a2_livestock.dta
- vup_s7a3_livestock.dta
-
vup_s7a4_livestock.dta
.dta - vup_s7b1_land_agriculture.dta
- vup_s7b2_land_agriculture.dta
-
vup_s7c_parcels.dta
.dta - vup_s7d_large_crop.dta
-
vup_s7e_small_crop.dta
.dta -
vup_s7f_income_agriculture.dta
.dta -
vup_s7g_expenditure_agriculture.dta
.dta - vup_s7h_transformation_agriculture.dta
- vup_s8a1_expenditure.dta
-
vup_s8a2_expenditure.dta
.dta -
vup_s8a3_expenditure.dta
.dta -
vup_s8b_expenditure.dta
.dta -
vup_s8c_farming.dta
.dta -
vup_s9a_transfers_out.dta
.dta -
vup_s9b_transfers_in.dta
.dta - vup_s9c_vup.dta
- vup_s9c1_vup.dta
-
vup_s10a1_credits.dta
.dta -
vup_s10a2_credits.dta
.dta - vup_s10b_goods.dta
-
vup_s10c_savings.dta
.dta
District (district)
Data file: vup_s7a4_livestock.dta .dta
Overview
Valid:
19630
Invalid:
-
Minimum:
11
Maximum:
57
Type:
Discrete
Decimal:
0
Start:
8
End:
9
Width:
2
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 778 |
4%
|
| 12 | Gasabo | 2221 |
11.3%
|
| 13 | Kicukiro | 991 |
5%
|
| 21 | Nyanza | 318 |
1.6%
|
| 22 | Gisagara | 716 |
3.6%
|
| 23 | Nyaruguru | 694 |
3.5%
|
| 24 | Huye | 296 |
1.5%
|
| 25 | Nyamagabe | 470 |
2.4%
|
| 26 | Ruhango | 560 |
2.9%
|
| 27 | Muhanga | 580 |
3%
|
| 28 | Kamonyi | 276 |
1.4%
|
| 31 | Karongi | 622 |
3.2%
|
| 32 | Rutsiro | 368 |
1.9%
|
| 33 | Rubavu | 286 |
1.5%
|
| 34 | Nyabihu | 460 |
2.3%
|
| 35 | Ngororero | 520 |
2.6%
|
| 36 | Rusizi | 382 |
1.9%
|
| 37 | Nyamasheke | 762 |
3.9%
|
| 41 | Rulindo | 592 |
3%
|
| 42 | Gakenke | 1182 |
6%
|
| 43 | Musanze | 560 |
2.9%
|
| 44 | Burera | 1050 |
5.3%
|
| 45 | Gicumbi | 826 |
4.2%
|
| 51 | Rwamagana | 356 |
1.8%
|
| 52 | Nyagatare | 654 |
3.3%
|
| 53 | Gatsibo | 490 |
2.5%
|
| 54 | Kayonza | 692 |
3.5%
|
| 55 | Kirehe | 632 |
3.2%
|
| 56 | Ngoma | 838 |
4.3%
|
| 57 | Bugesera | 458 |
2.3%
|
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.