Codebook: Countries Data
Appendix B: Codebook for the Countries Data (COUNTRIES.sav)Source (including variable descriptions): Except as noted, the CIA World Factbook (Washington D.C.: U.S. Central Intelligence Agency. The online version of this publication is updated weekly, and was accessed in late November and early December, 2012. This file includes data for all entities listed as independent states, except for the Holy See (Vatican City), plus Taiwan. Missing Data: sysmis (all variables)Note: Some variables are defined differently by different countries and data for a given variable may be from different years. VariableDescription of VariableNAMECountry nameREGIONRegion of WorldPOPULATIONPopulationDENSITYPopulation per square mile MIGRATION Net migration LIFEEXP Live expectancy at birth FERTILITYTotal fertility rate OBESITY Adult obesity rate EDUCATIONPublic expenditure on education as a percent of GDP MILITARY Military expenditure as a percent of GDPGDPCAPITAGross Domestic Product per capita UNEMPLOYMENTUnemployment rateINEQUALITYInequality of income distribution INFLATIONInflation rate DEBTDebt EXPORTSExports IMPORTSImports CARBONCarbon dioxide emissions from consumption of energyINTERNETInternet users CHRISTIANPercent ChristianMOSLEMPercent Moslem2BUDDISTPercent Buddist2HINDUPercent Hindu2OTHERPercent other religion2NONEPercent non-religious2POLRIGHTSPolitical Rights Index CIVILLIBCivil Liberties IndexIFREEDOMInternet Freedom IndexHONESTGOVLack of Perceived Corruption ................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related searches
- countries that have legalized marijuana
- other countries views of america
- world s healthiest countries list
- data analysis quantitative data importance
- example of data analysis what is data analysis in research
- data scientist vs data analyst
- data science vs data analysis
- key data elements data quality
- key data elements data governance
- data analytics vs data science
- structured data vs unstructured data examples
- data collection and data analysis