Agricultural Household Survey 2017
Rwanda, 2017
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Reference ID
RWA-NISR-RAHS-2017-V0.1
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Created on
Jan 11, 2021
Last modified
Jan 11, 2021
Page views
1549209
Downloads
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- Data files
-
S0_General
Information -
S1_Household
members
characteristics -
S2_Land tenure
crops planted -
S3_Extension
services and
agricultural
programmes -
S4_Funding
during
2016_2017 -
S5_Agricultural
Inputs -
S6_Agricultural
Practices -
S7_1_Agricultural
small tools -
S7_2_Agricultural
durable tools -
S8_A_Production
Use, storage
and Expenses -
S8_B_Production
Use,Storage and
Expenses -
S9_Number of
animals -
S10_1_Cattle
milk production -
S10_2_Cattle
milk production
use -
S10_3_Honey
production -
S11_Animal
inputs and
services
0.2 District (s0q2)
Data file: S7_1_Agricultural small tools
Overview
Valid:
362203
Invalid:
0
Minimum:
11
Maximum:
57
Type:
Continuous
Decimal:
0
Width:
8
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 11981 |
3.3%
|
| 12 | Gasabo | 12727 |
3.5%
|
| 13 | Kicukiro | 8671 |
2.4%
|
| 21 | Nyanza | 7699 |
2.1%
|
| 22 | Gisagara | 13130 |
3.6%
|
| 23 | Nyaruguru | 6333 |
1.7%
|
| 24 | Huye | 12973 |
3.6%
|
| 25 | Nyamagabe | 10989 |
3%
|
| 26 | Ruhango | 8541 |
2.4%
|
| 27 | Muhanga | 8249 |
2.3%
|
| 28 | Kamonyi | 6123 |
1.7%
|
| 31 | Karongi | 5637 |
1.6%
|
| 32 | Rutsiro | 10867 |
3%
|
| 33 | Rubavu | 19580 |
5.4%
|
| 34 | Nyabihu | 8505 |
2.3%
|
| 35 | Ngororero | 7983 |
2.2%
|
| 36 | Rusizi | 12219 |
3.4%
|
| 37 | Nyamasheke | 4903 |
1.4%
|
| 41 | Rulindo | 8573 |
2.4%
|
| 42 | Gakenke | 8738 |
2.4%
|
| 43 | Musanze | 15422 |
4.3%
|
| 44 | Burera | 12711 |
3.5%
|
| 45 | Gicumbi | 13478 |
3.7%
|
| 51 | Rwamagana | 13277 |
3.7%
|
| 52 | Nyagatare | 29915 |
8.3%
|
| 53 | Gatsibo | 23386 |
6.5%
|
| 54 | Kayonza | 8135 |
2.2%
|
| 55 | Kirehe | 23032 |
6.4%
|
| 56 | Ngoma | 14117 |
3.9%
|
| 57 | Bugesera | 14309 |
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.