Possible datasets that have been published

1).Expenses incurred in performing the different functions of government (e.g. administration, economic, infrastructure, social, and public safety) based on the Classification of the functions of government (COFOG) and categorized according to j economics: : (1) compensation of employees, (2) use of goods and services, (3) consumption of fixed capital, (4) interest, (5) subsidies, (6) grants, (7) social benefits, and (8) miscellaneous other expense
2).Expenses incurred by the government sector in performing the different functions according to the different expenditure categories, also referred to as on-budget expenditure
3). Expenses incurred in performing different agricultural subfunctions (e.g. policy and planning, research, extension, irrigation, infrastructure and marketing, farm support, other) according to the above economic uses in the k agricultural subsectors. Notes: the main issue here is to identify the various agricultural subfunction performed by different public sector agents, considering multi-functional development projects as discussed tin the AU Guidance Note
4).Expenses incurred by the government sector in performing the different agriculture subfunctions according to the different expenditure categories, also referred to as on-budget expenditure
5). Agriculture value added in constant US dollars
6).Government Agriculture Expenditure. These are expense incurred on a set of administrative, construction, and operational support activities related to the production of crops, livestock, forestry, and fishing
7).Basic demographics and poverty measurement (available through FII). - Total number of men engaged in agriculture, - Total number of women engaged in agriculture
8).Total area used to rear improved and local varieties of Livestock (cattle, sheep, goat, pig)
9).Total area used to rear improved and local varieties of Livestock (poultry)
10).Total number of female livestock (cattle, sheep, goat, pig) at a reproducive age that are artificially inseminated
11).The number of Day Old Chicks (DOC) supplied or sold
12).The number of improved fingerlings supplied or sold.
13).Total number and farmers coverage of agricultural extension workers
14).Total number of farmers
15).Total number of farm households in the country
16).Household survey data
17).Agriculture value added in constant US dollars (AgVA)
18).Total number of agricultural workers (W)
19).Agricultural value added per agricultural worker
20).Budget Allocation to social protection Cash Transfers for food and cash reserves
21).Budget Allocation to social protection Emergency Food Supplies
22).Budget Allocation to social protection School Feeding
23).Budget Allocation to social protection Other protective services
24).Total Budget Allocation to social protection
25).Total Budget Requirements for social protection
26).Total number of children 0-59 months of age in the sample (T) Number of children 0-59 months of age in the sample that are stunted (S)
27).Number of male children 0-59 months of age in the sample that are stunted (Sm)
28).Total number of female children 0-59 months of age in the sample (Tf) Number of female children 0-59 months of age in the sample that are stunted (Sf)
29).Total number of children 0-59 months of age in the sample (T) Number of children 0-59 months of age in the sample that are underweight (U)
30).Total number of male children 0-59 months of age in the sample (Tm) Number of male children 0-59 months of age in the sample that is underweight (Um)
31).Total number of female children 0-59 months of age in the sample (Tf) Number of female children 0-59 months of age in the sample that is underweight (Uf)
32).Total number of children 0-59 months of age in the sample (T) Number of children 0-59 months of age in the sample that are wasted (W)
33).Total number of male children 0-59 months of age in the sample (Tm) Number of male children 0-59 months of age in the sample that are wasted (Wm)
34).Total number of male children 0-59 months of age in the sample (Tf) Number of male children 0-59 months of age in the sample that are wasted (Wf)
35).Percentage of the country's population that is undernourished
36).Total number of women at reproductive age: W T , as the denominator
37).Number of women at reproductive age (15-49 yrs) that attain the minimum dietary diversity: W MDDW , as the numerator.
38).Minimum Acceptable Diet for 6-23 months old infants
39).Total breastfed children in sample reaching both minimum diet diversity and minimum meal frequency (BF MDD&MMF )
40).Total breastfed children in sample (TBF)
41).Total non-breastfed children in sample getting at least 2 milk feeds and reaching both minimum diet diversity and minimum meal frequency (NBF 2MF&MDD&MMF )
42).Total non-breastfed children in sample (TNBF)
43).Agriculture value added, in constant US dollars (AgVA)
44).Poverty headcount ratio (phrN), at national poverty lines (% of population)
45).Poverty headcount ratio (phrI), at international poverty lines (% of population)
46).Prices paid to producers by brokers, aggregators, wholesalers and other market agents.
47).Mean monthly wholesale prices for previous 12 months for each of the five economicallyy important commodities. Note: For both average weighted farm gate prices and average weighted wholesale prices a number of disbursed markets should be tracked.
48). Priority commodity value chains
49).Number of priority agricultural commodity value chains for which a PPP is established with strong linkage to smallholder agriculture
50).otal number of youth at working age in the country
51).Number of women that have: a) Input in productive decisions and b) Autonomy in production,
52).Number of women that have: a)Ownership of assets, b)Purchase, sale or transfer of assets, c)Access to and decisions about credit,
53).Number of women that have Control over use of income
54).Number of women that have: a) Group member and b) Speaking in public
55).Number of women that are able to manage their time amongst: a) Workload and b) Leisure
56).Use mathematical set method (using individual numbers to avoid double counting) to generate the total number of women that meet at least 4 of the 5 domains (or appox. 80% of the reported domains of availed data)
57).1. Quality of roads
58).2. Quality of airport
59).3. Quality of seaports
60).3. Availability of latest technology
61).5. Individuals using internet
62).6. Fixed telephone lines
63).7. Internet subscription
64).1. Number of documents to export
65).2. Number of Days to export
66).3. Costs to export
67).4. Number of documents to import
68).5. Number of Days to import
69).6. Costs to import
70).Number of countries with visa free entry (NVF)
71).Data from resilience analysis in the country for analysing household resilience trought the FAO's RIMA model, can be used to estimate the number of households that are resilient to climate variability and related risks.
72).With the RIMA model, a resilient household is appreciated through the household resilience index, R
73).Latent variables to estimate a household resilience R , include: Access to Basic Social services (ABS i )
74).Enabling Institutional Environment (EIE)
75). Social Safety Nets (SSN)