variables: 959845

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
959845 Composite Index of National Capability (CINC)     2024-07-30 12:02:10 2024-07-30 12:02:11     1816-2016 6645     
{
    "name": "Composite Index of National Capability (CINC)",
    "tolerance": 5,
    "numDecimalPlaces": 3
}
 0     cinc grapher/cow/2024-07-26/national_material_capabilities/national_material_capabilities#cinc   2 minor   Composite Index of National Capability (CINC)       Measures national power by averaging the state's global share of six different components: military expenditure, military personnel, iron and steel production, primary energy consumption, total population, and urban population. The Composite Index of National Capability (CINC) score (Singer, Bremer and Stuckey, 1972) aggregates the six individual measured components of national material capabilities into a single value per state-year. The CINC reflects an average of a state’s share of the system total of each element of capabilities in each year, weighting each component equally. In doing so, the CINC will always range between 0 and 1. “0.0” would indicate that a state had 0% of the total capabilities present in the system in that year, while “1.0” would indicate that the state had 100% of the capabilities in a given year (and by definition that every other state had exactly 0% capabilities in that year.) More specifically, the CINC is calculated using the following steps: 1) The sum of each of the six capability elements is computed separately for each year. For example, if there were 10 states in the system in a given year, the IRST values for those 10 states would be summed to create a total amount of IRST production in the system. If a state’s value is missing, it contributes nothing to the total. This creates six “total” variables for each year: total IRST, total PEC, etc. ; 2) Each state’s individual value in a year is divided by the total to create a share of the system total. For example, if a state has a MILPER value of 300, and the system total is 20000, the state’s share is 0.015. Each state now has a share-of-system value for each of the NMC six components. If a state’s individual value is missing, then the share value is coded missing; and 3) For each state, the values of the non-missing shares are averaged to produce the CINC score. So if a state had share values of 0.01, 0.02, 0.02, 0.03, 0.03, and 0.076, the CINC (average) value would be 0.031. The average is computed across the non-missing components only. Hypothetically, CINC could then be computed on as few as one component, if the other give were all missing in a given year. In practice, all observations in the NMC data set have at least two components. 83.29% of the state-year observations in the set have data on all six components; 13.76% have data on five; 2.71% have data on four; 0.23% of cases have data only on two or three components. Because CINC is sometimes computed on a varying number of components, the sum of all CINC scores across all states in the system in any year may be slightly greater than or less than 1.0. 
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