Product supply
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A. Quantity of total product available to consumers in a defined area for a defined period |
a1. Sales or distribution volume of product in a defined area |
- Distribution data |
- Sales data can be localized to the point of sale which can provide more detailed estimates of where the product is ending up with the consumer. |
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- Point-of-sale data |
- Assume that all sales or distribution that occur in the target area translate into use of the product in that area. One could adjust this assumption by multiplying by a factor that accounts for product supply leakage outside of the defined area. |
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a2. Supply volume of product in a defined area=production–export+import |
- Manufacturer data (production and inputs) |
- Production, import, and export data is often less localized than sales data. |
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- Distribution and export data |
- Need to account for illegal imports or contraband that may enter the market in the defined area. |
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- Import data |
- In the absence of import and/or export data, assume that all production that occurs within the target area remains as supply within the target area. (This makes more sense when the target area is at a national or regional level, not smaller.) |
B. Quantity of low quality product available to consumers |
b1. Quality adjustment factor (loss due to supply of poor quality) This is a number (0 to 1) where 1 represents that 100% of the product is high quality. |
- External monitoring of product quality (production site inspections) |
- To maximize product reach, assume that there are no product quality issues in production and product adheres to standard (quality adjustment factor = 1). |
- Import monitoring of product quality |
- Market or commercial monitoring of product quality |
C. Quantity of post-production losses |
c1. Losses adjustment factor (loss to quality and/or quantity post-production) This is a number (0 to 1) where 1 represents that 100% of the product is available and high quality. |
- Manufacturer data on supply chain losses |
- Data is unavailable, use data from a similar product in the market or from the same product in a different market. |
- Distribution data on losses |
- To maximize product reach, assume that there are no product losses post-production (losses adjustment factor = 1). |
- Point of sale data on losses |
- Market or commercial monitoring of product quality |
- Secondary data on other similar products |
Consumer use pattern:
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D. Average number of users per product consumption unit (Durable products) |
d1. Average number of users in the unit of consumption |
- Product specifications |
- If the product is intended for a single individual’s use, =1 |
- Consumer survey |
- If the product is intended for household use, use the average number of individuals in a household in the defined area. |
- Secondary data on other similar products |
- If the product is intended for community use, use the average community size in the defined area. |
E. Proportion of total consumer demand consumed by repeat consumers/users in the defined period (Durable products) |
e1. Time period / product average length of use in defined period |
- Time period of calculation defined by project team |
- The time period of estimation is defined by the project team. It may be informed by the time period of the available data or the time period of the project. |
- Average length of use from market or consumer survey (direct data collection) |
e2. Time period / product recommended length of use in defined period |
- Time period of calculation defined by project team
- Recommended length of use from product specifications or industry standards |
- The time period of estimation is defined by the project team. It may be informed by the time period of the available data or the time period of the project. |
F. Use amount: average quantity of the product used per consumption/ use day
(Fast-moving products) |
f1. Average quantity of the product used per consumption/ use day (measured directly) |
- Market or Consumer survey (direct data collection) |
- If data is unavailable, use data from a similar product (eg, average consumption of the unfortified version of the food) |
- Secondary data on other similar products |
- If data is unavailable for the specific target population, use for the general population and assume consumption patterns are similar. |
f2. Recommended use or standard portion size |
- Producer or project recommended use |
- For example, for fortified foods standard portion size may be the amount in a single serving. |
- Industry standards |
G. Use frequency: average number of days the product is used in a defined period
(Fast-moving products) |
g1. Average number of days the product is used in a defined period (measured directly) |
- Market or Consumer survey (direct data collection) |
- More detailed when disaggregated by subgroup, but more complex and potentially more difficult to explain. |
- Secondary data on other similar products |
- Should take into account repeat vs. dropout vs. new consumers. |
- The default will depend on whether the project prefers a conservative or optimistic estimate of product reach. |
g2. Recommended use frequency in a defined period |
- Producer or project recommended use frequency |
- Less detailed than disaggregated consumption frequencies by consumer subgroups (e2), but more simplistic and easier to explain. |
- Industry standards |
Product coverage and target population
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H. Product coverage |
h1. Product coverage of the total population in a defined area (measured directly) |
- Coverage survey |
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h2. Product coverage of the target group population in a defined area (measured directly) |
- Coverage survey |
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I. Target population |
i1. Total population in a defined area |
- UN estimates |
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- Census data |
- Project data |
i2. Target group population in a defined area |
- UN estimates |
- Census data |
- Project data |