AggregatedBycountry
AggregatedBycountry refers to the practice of summarizing data at the country level. It denotes a data aggregation scope in which measurements, counts, or statistics are compiled for each country instead of by smaller or larger geographic units such as regions, states, continents, or global totals. In practice, aggregatedBycountry often means that a dataset or a query returns one row per country, with a corresponding value for a chosen metric.
- Metrics commonly aggregated by country include population, gross domestic product, energy consumption, emissions, health indicators, and
- Data may be stored in long format (columns for country, metric, value, and date) or in wide
- In queries and APIs, aggregatedBycountry frequently appears as a mode or parameter to indicate the desired
Relation to other geographic aggregations
- Aggregation can occur at various geographic levels (country, region, state/province, city). AggregatedBycountry specifically targets the national
- Country definitions rely on standardized codes (for example, ISO 3166 codes) and can require normalization when
- Standardization: consistent country naming and coding to avoid duplicates or mismatches.
- Territorial nuances: changes in borders, recognition status, or dependent areas can affect which entities are included.
- Temporal alignment: datasets may use different reference dates, requiring time harmonization.
- Privacy: aggregated by country generally reduces privacy concerns, but finer-grained data used in conjunction with country
- National policy analysis, international comparisons, and global dashboards.
- Benchmarking and trend analysis across countries over time.
- API endpoints and data portals often offer an aggregatedBycountry option to simplify retrieval and interpretation.