This article is a summary of the findings and spreadsheets of a project we conducted to analyze socio-economic patterns and trends in the Cape Town metropolitan area. Our study comes from “the perception of the need to understand social reality in order to change it. Economic Region 01 consists of the metropolitan districts of Cape Town, 0 Wynberg, Simonstown, Goodwood and Bellville.
Elphick's conservative estimate is that 100,000 Khoi were scattered in various parts of the Cape and surrounding districts. At some stages in history, the number of slaves exceeded that of the white settlers. The needs of intensive mining led to the rapid growth of the infrastructure and secondary industry, especially between the two world wars.
It was hoped that the Khoi-Xhosa military alliance at the end of the 18th century would not find modern expression as a political alliance in the city. The basis for influx control was laid by the introduction of the Land Act of 1913 (and amendments) which 'reserved' only about 7% (later 13%) of the land for Africans.
RACE
34;'Number of whites, coloreds, Indians and Africans per area) .. each as a % of the area's population. iv) EMPLOYMENT PATTERNS (a) Industrial sectors. Number of workers in five selected industrial sectors (Textiles, Construction, Trade (Wholesale and Retail sub-sector only), Transport and Public Administration). Number of workers per nine occupational groups (Professional and Technical, Teachers, Managerial and related, Clerical and related, Sales, Service, Farm and related, Production and related, not classified).. each occupational group as a % of the area's E.A. *each occupational group as a , of the economic regional totals for that occupational group.
EDUCATION
HOUSING
Fundamental changes in the structures of this society—and who holds state power—will allow these patterns to be erased and new patterns more aligned with the principles of the ruling group of this future society to be fostered. We had two objectives: (1) to determine how each area ranked in relation to the most important industrial sectors in the Cape and (2) to discover the specific patterns of each area. The five standard sectors serve the first purpose, and in addition to the five standard sectors, we have provided flexibility to the three most important employers of labor in the area.
With our occupational categorization we sought to quantify economic stratification in the Western Cape. large groups of people who differ from each other by the place they occupy in a historically determined system of social production, by their relationships (in most cases defined and codified in laws) to the means of production; by their role in the social organization of labor and, consequently, by the extent and method of acquiring their share of the social wealth they acquire. Due to the range of problems presented by their typology and the need for very careful use of their system, we have refrained from using them for the purposes of this conference.
However, because it turned out that a large part of the black middle class was made up of teachers, we wanted the size of the teacher population – the professional-technical category – to be deflated by removing teachers. Managers, supervisors and other highly paid persons: - this category contains elements of both the petty bourgeoisie and the bourgeoisie. Clerical and related workers: This included occupations of the lower petty bourgeois type and more privileged occupations of the working class.
Manufacturing and Allied Workers:- This sector largely comes from the manufacturing industry and comes closest to a. Diploma holders were separated from those with degrees because of the vastly different access to job opportunities in the labor market.” Distinguishing postgraduate status was considered unnecessary as a small proportion of the population was affected.
The overall importance of the furnished living space was negligible and therefore it was grouped, together with the unfurnished living space, into three categories of rental properties. The census results included a category of 'farm dwellings', but none of these dwellings were listed in our 30%. This input could have been improved by information measuring the density of the area, i.e.
THE. AREAS Local areas
Tables of data for some of the indicators summarized here can be found elsewhere in this paper. There were more whites in relation to the population of the Peninsula than in relation to national averages. Men, who made up 51% of the Peninsula's population, made up the majority of the economically active (63.5% of EA).
Only in Electricity (with 7%) and Finance (with 4%) are they represented as a smaller part of the sector. They formed 79% of workers in this sector, although the urban character of the Peninsula relegated Agriculture to the third smallest sector. It was the second largest sub-sector of all industrial sectors employing B.6% of the EA.
The majority of workers were black (90% of Textiles) of which Coloreds made up the largest group (45,760 workers, or 87% of Textiles). Africans and Indians constituted a very low proportion of the sub-sector at 2\ and less than 1% respectively. Whites make up the majority of the workforce in only two subsectors, Machinery (with 57% of the subsector) and Professional and Scientific Instruments (59% of the subsector).
Blacks were therefore underrepresented_ The largest number of blacks were employed in personal and household services in the subsector). However, the number of whites is greatly reduced by the virtual absence of white women in this category. White women were highly concentrated in this category, making up 42% of the sector and accounting for 48.a% of white EA women.
Because of the larger number of EA blacks, teachers made up a smaller share of EA blacks. The highest concentration of white men by occupation was in the Managers and Related categories, making up 62.9% of the category. Black men were highly 'underrepresented', making up 16.2% of the category (of which men of color made up 13.2% of the category, Indian men 1.1% and African men 2%).
Black women made up 6.3% of the category (of which black women were 5.9%, Indian women and African women both 0.2% each). The main trends in population distribution by type of dwelling are summarized as follows. The data on the educational levels of the general population (EA and KTA) were in some cases inconsistent with the population data.
Initial questions seem to indicate that the EA definition, as used in the context, excludes unemployed people.
