Rwanda Seasonal Agriculture Survey 2019
Rwanda, 2018 - 2019
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Reference ID
RWA_2019_RSAS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Metadata
Created on
Feb 04, 2021
Last modified
Feb 04, 2021
Page views
13681
Downloads
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- Data files
-
rwa-sas-seasonA_Crop
production - rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
-
rwa-sas-SeasonA_PartIV_Agricultural
practice -
rwa-sas-SeasonA_PartV_Land
Tenure - rwa-sas-seasonA-Screening
-
rwa-sas-seasonB_Crop
production - rwa-sas-SeasonB_PartIII_Fertilizers_Pesticides
-
rwa-sas-SeasonB_PartIV_Agricultural
practice -
rwa-sas-SeasonB_PartV_Land
Tenure - rwa-sas-seasonB-Screening
-
rwa-sas-seasonC_Crop
production - rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
-
rwa-sas-SeasonC_PartIV_Agricultural
practice -
rwa-sas-SeasonC_PartV_Land
Tenure - rwa-sas-seasonC-Screening
1.2 District (s1q2)
Data file: rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
Overview
Valid:
18786
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
10
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 400 |
2.1%
|
| 12 | Gasabo | 577 |
3.1%
|
| 13 | Kicukiro | 340 |
1.8%
|
| 21 | Nyanza | 513 |
2.7%
|
| 22 | Gisagara | 687 |
3.7%
|
| 23 | Nyaruguru | 363 |
1.9%
|
| 24 | Huye | 495 |
2.6%
|
| 25 | Nyamagabe | 514 |
2.7%
|
| 26 | Ruhango | 446 |
2.4%
|
| 27 | Muhanga | 549 |
2.9%
|
| 28 | Kamonyi | 466 |
2.5%
|
| 31 | Karongi | 493 |
2.6%
|
| 32 | Rutsiro | 572 |
3%
|
| 33 | Rubavu | 697 |
3.7%
|
| 34 | Nyabihu | 668 |
3.6%
|
| 35 | Ngororero | 519 |
2.8%
|
| 36 | Rusizi | 658 |
3.5%
|
| 37 | Nyamasheke | 591 |
3.1%
|
| 41 | Rulindo | 673 |
3.6%
|
| 42 | Gakenke | 684 |
3.6%
|
| 43 | Musanze | 651 |
3.5%
|
| 44 | Burera | 729 |
3.9%
|
| 45 | Gicumbi | 583 |
3.1%
|
| 51 | Rwamagana | 739 |
3.9%
|
| 52 | Nyagatare | 1165 |
6.2%
|
| 53 | Gatsibo | 1033 |
5.5%
|
| 54 | Kayonza | 911 |
4.8%
|
| 55 | Kirehe | 859 |
4.6%
|
| 56 | Ngoma | 507 |
2.7%
|
| 57 | Bugesera | 704 |
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.