The Process
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When Government Data is available but outdateoutdated
When recent subnational population projections are not readily available, then to construct a COD-PS it is necessary to acquire the most recent census data and indicators on population dynamics to construct sex- and age-disaggregated population projections at either ADM-1 or ADM-2. In cases where recent population and demographic data can be utilized, the Bayesian population projection framework can be used - this will ensure consistency in the methodological approach of the UN’s official national population projections (known as the World Population Prospects) and COD-PS datasets constructed at lower administrative units (i.e. ADM-1 and below).
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COD-PS Required Characteristics (minimum requirements in red)
Metadata - Source organization must be clearly identified, and acceptable for humanitarian use
- Population data are endorsed by IM Network
- The dataset must be able to be shared (at least once at the onset stage of an emergency)
- P-codes from COD-PS match COD-AB (tables can link 1:1)
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Tabular Attributes - Field names are clear and understandable
- Field names used consistently across all Admin layers
- Population breakdown exists for sex and age for each administrative unit (with sex disaggregation for every age cohort)
- All values must be integers.
- All values must be present
- Sum of data matches the value of higher admin level
- Data is checked for inconsistencies
- Data is checked for outliers
- P-codes are the unique identifiers used in the country (ideally government sourced)
- P-codes are present and unique for each administrative unit
- P-code attribution is consistent across all layers
- P-codes for higher-level administrative units are included in lower levels
- P-codes and feature names (and therefore feature counts) should conform to established and accepted administrative boundary datasets (COD-AB) - however, it may be that the COD-PS is the more reliable authority.
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