Land administration statistics compiled from the Rwanda Statistical Yearbook 2025, ENVIRONMENT sheet, Tables 5.1-5.3. Covers three topics across all 30 districts: land ownership by gender category (female, male, and others including corporate and institutional owners), drawn from biennial Rwanda Land Management and Use Authority surveys spanning 2021-2022 and 2022-2023; land transactions per district from 2018 to 2023 (RLMUA); and land transfers per district from 2018 to 2023 (National Land Authority). Data for 2020 is absent in transactions and transfers due to COVID-19 disruptions. District names follow NISR administrative boundaries and appear in Title Case. A national total row is included in transactions and transfers but not in ownership.
| COLUMN | TYPE | DESCRIPTION | UNIT |
|---|---|---|---|
| year | int64 | Calendar year. For ownership topic: start year of the biennial survey period (2021 for "2021-2022", 2022 for "2022-2023"). For transactions and transfers: the reporting year (2018, 2019, 2021, 2022, 2023). | - |
| period | string | Human-readable period label. "2021-2022" or "2022-2023" for ownership; same as the year string (e.g. "2018") for transactions and transfers. | - |
| district | string | District name in Title Case (e.g. "Bugesera", "Gasabo"). The value "total" represents the national aggregate row published in Tables 5.2 and 5.3. Table 5.1 (ownership) has no total row -- sum gender_owner values per district and period to compute district totals. | - |
| topic | string | Dataset sub-table slug. Values: ownership (Table 5.1 -- land parcels by gender owner category); transactions (Table 5.2 -- land transactions count per district per year); transfers (Table 5.3 -- land transfers count per district per year). | - |
| gender_owner | string | Gender of the registered land owner. Values: female, male, others. Non-null only for topic=ownership; null (pd.NA) for transactions and transfers. | - |
| count | float64 | Count of land parcels (ownership), transactions, or transfers for the given district, year, and gender_owner combination. All counts are absolute integer values stored as float64 to accommodate pandas nullable semantics. | - |