Season Agriculture Survey 2019-2020
Rwanda, 2019 - 2020
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Reference ID
RWA_2019-2020_SAS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Metadata
Created on
Nov 14, 2022
Last modified
Nov 15, 2022
Page views
13320
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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 Name (s1q2)
Data file: rwa-sas-seasonA-Screening
Overview
Valid:
46854
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
10
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 1118 |
2.4%
|
| 12 | Gasabo | 1604 |
3.4%
|
| 13 | Kicukiro | 998 |
2.1%
|
| 21 | Nyanza | 1399 |
3%
|
| 22 | Gisagara | 1806 |
3.9%
|
| 23 | Nyaruguru | 1203 |
2.6%
|
| 24 | Huye | 1469 |
3.1%
|
| 25 | Nyamagabe | 1465 |
3.1%
|
| 26 | Ruhango | 1339 |
2.9%
|
| 27 | Muhanga | 1713 |
3.7%
|
| 28 | Kamonyi | 1320 |
2.8%
|
| 31 | Karongi | 1324 |
2.8%
|
| 32 | Rutsiro | 1373 |
2.9%
|
| 33 | Rubavu | 819 |
1.7%
|
| 34 | Nyabihu | 1082 |
2.3%
|
| 35 | Ngororero | 1509 |
3.2%
|
| 36 | Rusizi | 1590 |
3.4%
|
| 37 | Nyamasheke | 1380 |
2.9%
|
| 41 | Rulindo | 1722 |
3.7%
|
| 42 | Gakenke | 1560 |
3.3%
|
| 43 | Musanze | 1109 |
2.4%
|
| 44 | Burera | 1391 |
3%
|
| 45 | Gicumbi | 1481 |
3.2%
|
| 51 | Rwamagana | 1808 |
3.9%
|
| 52 | Nyagatare | 3259 |
7%
|
| 53 | Gatsibo | 2269 |
4.8%
|
| 54 | Kayonza | 2533 |
5.4%
|
| 55 | Kirehe | 2478 |
5.3%
|
| 56 | Ngoma | 1197 |
2.6%
|
| 57 | Bugesera | 1536 |
3.3%
|
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.