Agricultural Household Survey 2017
Rwanda, 2017
Get MicrodataCreated on
Jan 19, 2021
Last modified
Jan 19, 2021
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- Data files
-
S0_General
Information.dta -
S1_Household
members
characteristics.dta -
S2_Land tenure
and crops
planted.dta -
S3_Extension
services and
agricultural
programmes.dta -
S4_Funding
during
2016_2017.dta -
S5_Agricultural
Inputs.dta -
S6_Agricultural
Practices.dta -
S7_1_Agricultural
small tools.dta -
S7_2_Agricultural
durable
tools.dta -
S8_A_Production
Use,storage and
Expenses.dta -
S8_B_Production
Use,Storage and
Expenses.dta -
S9_Number of
animals.dta -
S10_1_Cattle
milk
production.dta -
S10_2_Cattle
milk production
use.dta -
S10_3_Honey
production.dta -
S11_Animal
inputs and
services.dta
0.2 District (s0q2)
Data file: S3_Extension services and agricultural programmes.dta
Overview
Valid:
64228
Invalid:
-
Minimum:
11
Maximum:
57
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 2124 |
3.3%
|
| 12 | Gasabo | 2460 |
3.8%
|
| 13 | Kicukiro | 1496 |
2.3%
|
| 21 | Nyanza | 1164 |
1.8%
|
| 22 | Gisagara | 2100 |
3.3%
|
| 23 | Nyaruguru | 964 |
1.5%
|
| 24 | Huye | 2096 |
3.3%
|
| 25 | Nyamagabe | 1632 |
2.5%
|
| 26 | Ruhango | 1296 |
2%
|
| 27 | Muhanga | 1304 |
2%
|
| 28 | Kamonyi | 2096 |
3.3%
|
| 31 | Karongi | 936 |
1.5%
|
| 32 | Rutsiro | 1660 |
2.6%
|
| 33 | Rubavu | 3072 |
4.8%
|
| 34 | Nyabihu | 1904 |
3%
|
| 35 | Ngororero | 1236 |
1.9%
|
| 36 | Rusizi | 2704 |
4.2%
|
| 37 | Nyamasheke | 1596 |
2.5%
|
| 41 | Rulindo | 1624 |
2.5%
|
| 42 | Gakenke | 1408 |
2.2%
|
| 43 | Musanze | 2692 |
4.2%
|
| 44 | Burera | 1940 |
3%
|
| 45 | Gicumbi | 2128 |
3.3%
|
| 51 | Rwamagana | 2368 |
3.7%
|
| 52 | Nyagatare | 4720 |
7.3%
|
| 53 | Gatsibo | 3656 |
5.7%
|
| 54 | Kayonza | 3548 |
5.5%
|
| 55 | Kirehe | 3736 |
5.8%
|
| 56 | Ngoma | 2184 |
3.4%
|
| 57 | Bugesera | 2384 |
3.7%
|
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.