Season Agriculture Survey 2019
Rwanda, 2018 - 2019
Get Microdata
Reference ID
RWA_2019_SAS_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Created on
Aug 02, 2023
Last modified
Aug 02, 2023
Page views
12736
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-SeasonB_PartV_Land Tenure
Overview
Valid:
61548
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
10
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 1396 |
2.3%
|
| 12 | Gasabo | 1680 |
2.7%
|
| 13 | Kicukiro | 1176 |
1.9%
|
| 21 | Nyanza | 1924 |
3.1%
|
| 22 | Gisagara | 1992 |
3.2%
|
| 23 | Nyaruguru | 1480 |
2.4%
|
| 24 | Huye | 1900 |
3.1%
|
| 25 | Nyamagabe | 1768 |
2.9%
|
| 26 | Ruhango | 2124 |
3.5%
|
| 27 | Muhanga | 1996 |
3.2%
|
| 28 | Kamonyi | 1756 |
2.9%
|
| 31 | Karongi | 1516 |
2.5%
|
| 32 | Rutsiro | 1700 |
2.8%
|
| 33 | Rubavu | 1604 |
2.6%
|
| 34 | Nyabihu | 1528 |
2.5%
|
| 35 | Ngororero | 1484 |
2.4%
|
| 36 | Rusizi | 1692 |
2.7%
|
| 37 | Nyamasheke | 1664 |
2.7%
|
| 41 | Rulindo | 2120 |
3.4%
|
| 42 | Gakenke | 2040 |
3.3%
|
| 43 | Musanze | 1808 |
2.9%
|
| 44 | Burera | 2148 |
3.5%
|
| 45 | Gicumbi | 2028 |
3.3%
|
| 51 | Rwamagana | 2212 |
3.6%
|
| 52 | Nyagatare | 4208 |
6.8%
|
| 53 | Gatsibo | 3568 |
5.8%
|
| 54 | Kayonza | 3796 |
6.2%
|
| 55 | Kirehe | 3512 |
5.7%
|
| 56 | Ngoma | 1576 |
2.6%
|
| 57 | Bugesera | 2152 |
3.5%
|
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.