{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"6c25cf99-4399-4adb-b1e4-017a83b24116","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"sas_2022","tableName":"rwa_sas_seasona_screening_crops","displayName":"Season A: Screening Crops","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary:</strong> This table presents plot-level crop screening information collected during Season A (September 2021 – February 2022) of the 2021/2022 Seasonal Agricultural Survey conducted by the National Institute of Statistics of Rwanda (NISR). Each record corresponds to an agricultural plot and captures detailed information on land use and crop presence during the reference season. The dataset includes plot identification and size, land use type, cropping system, number of main crops per plot, and detailed crop-level characteristics such as crop name and category, proportion and density of plot coverage, banana plant counts where applicable, planting status, expected harvest status, and harvesting period.</p><p><strong>Geographic Coverage:</strong> National coverage across Rwanda, including all provinces and districts, covering both rural and peri-urban agricultural areas.</p><p><strong>Time Period:</strong> Season A of the 2021/2022 agricultural year (September 2021 – February 2022).</p><p><strong>Frequency:</strong> Seasonal (Season A of three agricultural seasons per year).</p><p><strong>Population/Units:</strong> Agricultural plots managed by small-scale and large-scale farming households in Rwanda.</p><p><strong>Key Variables:</strong> Plot identification, plot size, land use type, cropping system, crop names and categories, crop coverage proportion and density, number of banana plants, planting status, harvest status, and expected harvest period.</p><p><strong>Purpose:</strong> To support analysis of crop distribution, land use intensity, cropping patterns, and seasonal agricultural planning in Rwanda.</p><p><strong>Data Quality Notes:</strong> Data are collected through structured field screening at plot level and reflect reported and observed agricultural conditions from sampled farming households. Estimates are based on sampled holdings and may vary across regions and farming systems.</p>","databaseName":"datasharing_platform","schemaDescription":"<p><strong>Summary:</strong> This dataset contains the annual results of the Rwanda Seasonal Agricultural Survey (SAS) for the 2021/2022 agricultural year, conducted by the National Institute of Statistics of Rwanda (NISR). It consolidates data collected across three agricultural seasons Season A (September 2021 – February 2022), Season B (March – June 2022), and Season C (July – September 2022). The survey provides a comprehensive overview of agricultural production, land use, input utilization, and farming practices across the country, enabling analysis of seasonal and annual trends in Rwanda’s agricultural sector.</p><p><strong>Geographic Coverage:</strong> National coverage across Rwanda, including all provinces and districts, with data representing both rural and peri-urban farming areas.</p><p><strong>Time Period:</strong> Agricultural year 2021/2022 covering three seasons: (A: September 2021 – February 2022, B: March – June 2022, C: July – September 2022)</p><p><strong>Frequency:</strong> Seasonal (three times per year: Seasons A, B, and C), aggregated annually.</p><p><strong>Population/Units:</strong> Small-scale and large-scale agricultural farms operating in Rwanda.</p><p><strong>Key Variables:</strong> Crop production and yield, land use (seasonal crops, permanent crops, pasture), use of improved seeds, organic and inorganic fertilizers, pesticide use, irrigation practices, and soil conservation measures.</p><p><strong>Purpose:</strong> To provide timely and reliable agricultural statistics for monitoring production, food security, and input use, and to support evidence-based policy-making and agricultural planning in Rwanda.</p><p><strong>Data Quality Notes:</strong> Data are collected through a stratified two-stage sampling design covering 1200 segments and large-scale farms. Estimates are weighted to produce nationally representative results. The survey achieved a 100% response rate, though indicators may vary across seasons and regions.</p>","ownerName":"Norbert","ownerEmail":"norbert.habimana@statistics.gov.rw","tags":null,"customTags":["Microdata"],"datasetType":"TABLE","datasetFileId":null,"queryDefinition":null,"periodBegin":"2021-09-01","periodEnd":"2022-02-28","createdAt":"2026-03-30T12:00:26.547Z","updatedAt":"2026-08-14T16:09:24.170Z","columns":[{"id":"3c0e3350-21b5-4a2f-b7a4-8ce0d440f2a0","columnName":"id","description":"<p>Row ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"393f86ab-2e85-4876-9571-929803d1ddca","columnName":"segment_id","description":"<p>Segment identifier</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"726a9ef4-7ee0-47dd-9e0d-15f66fecab5e","columnName":"s1q1","description":"<p><strong>Numeric code (1–5) representing the administrative province of Rwanda where the survey respondent is located. </strong>1 = Kigali City, 2 = Southern Province, 3 = Western Province, 4 = Northern Province, 5 = Eastern Province.</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"87af02c1-08f8-4fee-8ebe-7be252af4f01","columnName":"s1q2","description":"<p><strong>Numeric code (11–57) representing the respondent's district in Rwanda.</strong> The first digit corresponds to the province (1-5), and the second digit identifies the district within that province.</p><p>11 = Nyarugenge, 12 = Gasabo, 13 = Kicukiro, 21 = Nyanza, 22 = Gisagara, 23 = Nyaruguru, 24 = Huye, 25 = Nyamagabe, 26 = Ruhango, 27 = Muhanga, 28 = Kamonyi, 31 = Karongi, 32 = Rutsiro, 33 = Rubavu, 34 = Nyabihu, 35 = Ngororero, 36 = Rusizi, 37 = Nyamasheke, 41 = Rulindo, 42 = Gakenke, 43 = Musanze, 44 = Burera, 45 = Gicumbi, 51 = Rwamagana, 52 = Nyagatare, 53 = Gatsibo, 54 = Kayonza, 55 = Kirehe, 56 = Ngoma, 57 = Bugesera.</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"d0233245-69c7-4c16-b75c-0026eff8ee75","columnName":"s1q3","description":"<p><strong>Numeric code (0–40) representing the stratum classification of the surveyed area:</strong> 0 = NA, 10 = Hillside cropland, 20 = Marshland cropland, 30 = Rangelands, 40 = Mixed.</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"d8787fae-0584-4b35-bbb5-059f1f74af82","columnName":"s1q4","description":"<p>Numeric identifier representing the survey segment</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"23065e84-8d90-4406-beb3-a7f1ff3e77f9","columnName":"s1q7","description":"<p>Number of grids sampled in the segment</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"f749c2ad-2810-417e-9406-727f34084b59","columnName":"s2q1","description":"<p>Plot number</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"ed58009a-50c4-4754-ad71-c298cbf9a9a6","columnName":"s2q2","description":"<p>Number of grid points that fall in this plot</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"dcd0977c-a5eb-48a0-a770-e8996cef13eb","columnName":"s2q3","description":"<p>Grids fallling in the plot</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"fb6a5923-2250-4fc3-8cea-04701c533037","columnName":"s2q4","description":"<p>Plot size (m2)</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"a71bc3fe-1a5a-4817-811f-4f30e06a9a71","columnName":"s2q4_ha","description":"<p>Plot size(ha)</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"d833035f-1f48-4a48-9874-144dd4033444","columnName":"s2q5_2","description":"<p>Farmer ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"a7616c7b-0644-4b3f-831f-2d1098d38618","columnName":"s2q6","description":"<p><strong>Plot land use:</strong> 96=Agricultural, 97=Pasture, 98=Fallow, 99=Non agricultural</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"c4e0c3c4-3176-4eae-a0bd-30604ce9b467","columnName":"s2q7","description":"<p><strong>Non agricultural Land Type: </strong>1=Buildings, 2=Road or Path, 3=Forest or Bush, 4=Bare or Rocky soil, 5=Unmanaged marshland, 6=Water body, 7=Other(specify)</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"9d83a1ba-ee0e-4c18-8bb7-e6795d844fa7","columnName":"s2q7_other","description":"<p>Other non agricultural Land Type</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"526d00eb-f01a-4b18-9b84-c30ee373d12e","columnName":"s2q17","description":"<p>Cropping system: 1=Pure Cropping, 2=Mixed Cropping</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"2efe01ee-bc65-405b-b50b-444689881aea","columnName":"s2q18","description":"<p>Number of main crops in the plot</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"eebce37c-5fe0-4345-83a5-4e91fd07076d","columnName":"s3q1","description":"<p><strong>Crop name</strong></p><p>101=Maize, 102=Paddy rice, 103=Sorghum, 104=Wheat, 105=Other cereal (specify), 106=Bush bean, 107=Climbing bean, 108=Pea, 109=Other pulse, 110=Irish potato, 111=Sweet potato, 112=Taro, 113=Yams, 114=Other tubers, 115=Tomato, 116=Cabbage, 117=Cauliflower, 118=Onion, 119=Carrot, 120=Eggplant, 121=Other seasonal vegetables (specify), 122=Soybean, 123=Groundnut, 124=Sunflower, 125=Black eggplant, 126=Sweet pepper, 127=Amaranth, 128=Celery, 129=Spinach, 130=Small red bean, 131=Beetroot, 132=Garlic, 133=African cabbage, 134=Leek, 135=French beans, 136=Lettuce, 137=Broccoli, 138=Millet, 139=Cucumber, 140=Chia seeds, 141=Other seasonal crops, 201=Pyrethrum, 202=Pepper, 203=Pumpkin, 204=Napia grass, 205=Sugar cane, 206=Tobacco, 207=Other annual crops (specify), 300=Banana, 301=Cooking banana, 302=Dessert banana, 303=Banana for beer, 304=Coffee, 305=Cassava, 306=Mulberry, 307=Jatropha, 308=Stevia, 309=Macadamia, 310=Tea, 311=Other perennial crop (specify), 401","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"48218b4c-2ce3-47e8-ac95-ef38cf2e28d6","columnName":"s3q1_o","description":"<p>Other Crop name</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"11fc42c3-2247-4be3-b0b6-6c952ea1c58d","columnName":"s3q2_1","description":"<p>Crop proportion (in %)</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"7be68e25-195a-487d-a94d-89df5df4f739","columnName":"s3q2_2","description":"<p>Crop proportion code</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"cbae56d3-9736-49d7-8d21-1714c3e7d031","columnName":"s3q3_1","description":"<p>Crop density (in %)</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"4c7454de-cdd8-47eb-a204-903769bdd549","columnName":"s3q3_2","description":"<p>Crop Density code</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"46de4e4a-1b17-48e7-a385-008a787a72eb","columnName":"s3q4","description":"<p>Number of banana plants</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"4394b30b-ad77-43a6-bec8-c97c06c49c01","columnName":"s3q5","description":"<p>Is this crop for this season? 1=Yes, 2=No</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"2cf80fbd-838f-4bfe-ad04-6ac288b744bb","columnName":"s3q6","description":"<p>Will this crop be harvested in this season? 1=Yes, 2=No</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"4017d7a7-e727-4f33-8e2c-369ee5632b75","columnName":"s3q7","description":"<p><strong>What is the expected period for harvesting this crop</strong></p><p>1=Before 01/12, 2=Between 01-15/12, 3=Between 16-31/12, 4=Between 01-15/01, 5=Between 16-31/01, 6=Between 01-28/02, 7=After Feb, 8=Other season (applicable for all crops), 9=Before 01/05, 10=Between 01-15/05, 11=Between 15-31/05, 12=Between 01-15/06, 13=Between 16-30/06, 14=Between 01-15/07, 15=Between 16-31/07, 16=Between 01-31/08, 17=After August, 18=Other season (applicable for all crops), 19=Before 01/08, 20=Between 01-15/08, 21=Between 16-31/08, 22=Between 01-15/09, 23=Between 16-30/09, 24=After 30/09</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"6b9cbe4f-0a9e-441c-9f4c-15efcf7d29eb","columnName":"plot_weight","description":"<p>Plot weight</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"d0f69698-9474-42da-a18c-fafd340a9fbc","columnName":"cropcategory","description":"<p><strong>Crop category</strong></p><p>1=Maize, 2=Sorghum, 3=Paddy rice, 4=Wheat, 5=Other cereals, 6=Sweet potato, 7=Irish potato,</p><p>8=Taro &amp; Yams, 9=Cassava, 10=Bush bean, 11=Climbing bean, 12=Pea, 13=Groundnut, 14=Soybean,</p><p>15=Cooking banana, 16=Dessert banana, 17=Banana for beer, 18=Vegetables, 19=Fruits, 20=Fodder crops,</p><p>21=Other crops</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"},{"id":"5e203fbf-a302-4108-8929-408729dfe541","columnName":"crop_area","description":"<p>Crop area</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.155Z","updatedAt":"2026-07-09T22:22:40.155Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":15,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1786723976149}