| Value |
Category |
| 10 |
Engineers |
| 11 |
Doctors, dentists, pharmacists and veterinarians |
| 12 |
Economists, accountants, statisticians, mathematicians |
| 13 |
Lawyers |
| 14 |
Other professionals not previously specified |
| 15 |
Technicians and similar occupations |
| 16 |
Nurses, midwives, and other specialists |
| 17 |
Other technicians and occupations not specified previously |
| 18 |
Secondary, university and higher level professors |
| 19 |
Elementary, preschool, and special education teachers |
| 21 |
Directors of businesses, upper-level public officials |
| 31 |
Bosses of employees |
| 32 |
Employees of accounting, cashiers, operators of perforating or data processing machines |
| 33 |
Administrative employees |
| 34 |
Mailmen and messengers, telephone and telegraph operators, train guards |
| 41 |
Business owners |
| 42 |
Business directors and managers |
| 43 |
Bosses in the commercial sector |
| 44 |
Salesmen |
| 51 |
Owner-managers |
| 52 |
Managers (hotels, bars, and restaurants) |
| 53 |
Bosses in the service sector |
| 54 |
Specialized service workers |
| 55 |
Personnel in domestic services |
| 56 |
Other non-specified service workers |
| 61 |
Owners of agricultural ventures |
| 62 |
Directors and bosses of agricultural ventures |
| 63 |
Agricultural overseers |
| 64 |
Specialized agricultural workers |
| 65 |
Agricultural day-laborers |
| 71 |
Owners of small industries or workshops |
| 72 |
Specialized workers in the preparation of foods, beverages and tobacco |
| 73 |
Specialized workers in the textile industry |
| 74 |
Specialized workers in the clothing manufacture and footwear industries |
| 75 |
Specialized workers in the metallurgic industry, include vehicles |
| 76 |
Specialized workers in construction |
| 77 |
Specialized workers in activities not specified previously |
| 78 |
Non-agricultural overseers and supervisors |
| 79 |
Non-agricultural day-laborers |
| 80 |
Drivers of transportation vehicles |
| 98 |
Occupations not well specified |
| 99 |
NIU (not in universe) |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.