{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"79563b2c-d39b-49b4-9a4f-679f892ce9d9","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"sas_2022","tableName":"rwa_sas_seasonb_screening_agroforestry","displayName":"Season B: Screening Agroforestry","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary:</strong> This table presents plot-level agroforestry screening data collected during Season B (March – June 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 information on land use and the presence of agroforestry practices during the reference season. The dataset includes plot identification, land use type, and whether agroforestry practices are present, as well as the types of trees grown on the plot, including species such as Calliandra, Leucaena, Grevillea, fruit trees, and other tree types.</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 B of the 2021/2022 agricultural year (March – June 2022).</p><p><strong>Frequency:</strong> Seasonal (Season B 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, land use type, presence of agroforestry practices, tree species (Calliandra, Leucaena, Grevillea, fruit trees, and others).</p><p><strong>Purpose:</strong> To support analysis of agroforestry adoption, tree integration in farming systems, and sustainable land management practices.</p><p><strong>Data Quality Notes:</strong> Data are collected through structured field screening at plot level and reflect reported and observed conditions from sampled agricultural holdings. Estimates are based on sampled units and may vary across regions.</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":"2022-03-01","periodEnd":"2022-06-30","createdAt":"2026-03-30T12:00:26.996Z","updatedAt":"2026-08-02T17:12:56.494Z","columns":[{"id":"78ef0fc5-f4f2-43d4-85a6-c73b64c493d0","columnName":"id","description":"<p>Row ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"ef1747f5-0a5f-4453-8fc6-2513be47c259","columnName":"segment_id","description":"<p>Segment identifier</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"717b7294-8704-47f9-ab0b-68a431e18a3c","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":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"d4bca52f-1d3f-44e9-af4e-7a341888d0ff","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":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"866907de-c1e9-4bee-931f-ff482dd7076f","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":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"ff21a173-bd8e-428e-9e18-b9722cb6d926","columnName":"s1q4","description":"<p>Numeric identifier representing the survey segment</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"b1ffb3be-6607-48d5-a3f8-f6cf973684e2","columnName":"s2q1","description":"<p>Plot number</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"16f2b9b9-0d11-45ff-92a8-00a2038c8725","columnName":"s2q4","description":"<p>Plot size (m2)</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"ac3e4002-7c1c-4b22-92ec-8bf0606c8fde","columnName":"s2q5_2","description":"<p>Farmer ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"852983bf-9fb1-4223-b811-46d939263cc8","columnName":"s2q6","description":"<p><strong>Plot land use:</strong> 96=Agricultural, 97=Pasture, 98=Fallow, 99=Non agricultural</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"e3774d2f-92c4-45c9-992c-13325f6f8698","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":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"33cb313a-aa16-4093-87f1-f20999e19699","columnName":"s2q7_other","description":"<p>Other non agricultural Land Type</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"3f7e9247-7f0d-4ef0-944f-1facd8782e0c","columnName":"s2q10","description":"<p>Is there any agroforestry practices on this plot? 1=Yes, 2=No</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"8626ae09-accc-4ca2-bece-cc9f4542c771","columnName":"s2q11","description":"<p><strong>Types of agroforestry trees planted in this plot?</strong></p><p>1=Calliandra, 2=Leucaena, 3=Sesbania, 4=Acacia, 5=Erythrina, 6=Casuarina, 7=Maesopsis, 8=Alnus acuminata, 9=Grevillea, 10=Fruits trees, 11=Markhamia lutea(umusave), 12=Tephrosia vogelii Hook. F. Teforosiya, 13=Vernonia amygdalina Del. Umubilizi, 14=Ikibonobono, 15=Others(specify)</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"0eb2a555-a8f4-4d91-8742-9aaecb4fbb21","columnName":"s2q11_o","description":"<p>Other types of agroforestry trees existing in this plot</p>","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"},{"id":"c70d4292-73f1-4416-b854-842ec46d8bb4","columnName":"plot_weight","description":"<p>Plot weight</p>","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:40.538Z","updatedAt":"2026-07-09T22:22:40.538Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":3,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1785690835249}