CODEBOOK: pool ============================================================== All values are SIMULATED. No figure describes any real person, household, city, or country. Appendix B explains how each dataset was built and what it is for. Categorical variables are stored as integer codes; the mapping is given below. Sentinel missing codes (97, 98, 99) are left in place, NOT converted to NA -- recoding them is an exercise in several chapters. Rows: 200 Columns: 15 -------------------------------------------------------------- pid Person identifier [Integer] hid Household identifier [Integer] hh_size People in the household [Numeric] age Age in years [Numeric] sex Sex [Coded] 1 = Female; 2 = Male province Province [Coded] A--H, in descending population order. Lettered because these are not real jurisdictions urban Community type [Coded] 1 = Urban; 2 = Suburban; 3 = Rural educ Highest level completed [Coded] 1--5, as socsurvey; 1 for those under 18 occupation Occupational group [Coded] 0 = Not applicable (under 18); 1 = Management; 2 = Business, finance and administration; 3 = Sciences and engineering; 4 = Health; 5 = Education, law and social services; 6 = Sales, service and trades income Annual income, simulated dollars [Integer] ; 0 for those under 18; top-coded immigrant Born outside the country [Coded] 0 = No; 1 = Yes. Share varies by province lang_home Language spoken at home [Coded] 1 = First official language; 2 = Second official language; 3 = A non-official language; 4 = More than one language equally tenure Housing tenure [Coded] 1 = Owns; 2 = Rents commute_min Daily commute, minutes [Numeric] ; 0 for those who do not commute