Counts only, from the query layer. Not recorded for Kenya: documents tagged, money, locations below country level.
The headline numbers. Counts only; each opens the list behind it. Source: query layer
Untyped, not counted: 39 keys that could not be classified. Show the list. Build neo4j-gen44+stage2-fd4cd937-507234.
Own programs active in each decade, as counted by the backend. A program appears in every decade it touches.
Not recorded for Kenya:
Programs grouped by sector. A program can sit under more than one theme. Source: computed sector profile
Filtering the Gantt and the list: theme Natural resources and biodiversity (forests, wildlife, water resources) (remove)
The same programs as one bar each, first to last document year. Source: document years
not in the map yet: no dated programs in this filter
No programs with dated documents in this filter, so no bar is drawn. Programs without a usable year are in the table below.
One bar per program, square ends, solid. Click a bar to open the program. Programs without a usable year are listed in the table below.
Districts, regions and facilities named in the programs' own documents, with what each document says the program did there. Source: sentences in program documents
not in the map yet: no place dots for Kenya; only Malawi and Guatemala have place data so far
Kenya has no place dots. Place dots exist for Malawi and Guatemala only so far.
One row per program. Years are the first and last evidence years. Source: program records
0 own programs (excludes 39 untyped, 44 support mechanisms; 101 regional and 376 global programs are in their own tabs)
Showing: theme: Natural resources and biodiversity (forests, wildlife, water resources); active 2020 to 2029. Clear filters
Sort by Documents · · · 0 of 204 programs in Natural resources and biodiversity (forests, wildlife, water resources)
| Program | Sector (top share) | Years | Lead implementer | Documents |
|---|
These keys could not be classified. They are not in any count above.
Own programs each organization implemented in Kenya.
Themes come from the computed sector profile of each program's documents. A program can appear under more than one theme, so the rows can add up to more than the own-program count. The split into stated and likely-but-unconfirmed programs is not in the map yet.