Report No. 2490-IND Indonesia Cottage and Small Industry in the National Economy FILE COPY (In Two Volumes) Volume 11: Annexes and Statistical Tables November 9, 1979 Projects Department East Asia and Pacific Regional Office FOR OFFICIAL USE ONL'Y Document of the World Bank This document has a restricted distribution and may be used by recipients only in the performance of their official duties. Its contents may not otherwise be disclosed without World E,ank authorization. CURRENCY EQUIVALENTS Before November 15, 1978 US$1.00 = Rp 415 Rp 1.00 = US$0.0024 Rp 1 million = US$2,410 After November 15, 1978 US$1.00 = Rp 625 Rp 1.00 = US$0.00116 Rp 1 million = US$1,600 ABBREVIATIONS AND ACRONYMS ASKRINDO - Indonesian Credit Insurance Corporation BAPPEDA - Regional Planning Agencies BAPPENAS - Badan Perencanaan Pembangunan Nasional - National Development Planning Board P.T. BAHANA - Public Equity Financing Corporation for Small and Medium-Scale Enterprises BIPIK - Guidance and Development of Small-Scale Industry BPS - Biro Pusat Statistik - Central Bureau of Statistics BUUD - Badan Usaha Unit Desa - Forerunner of KUD - Village Unit Cooperative KIK - Kredit Investasi Kecil - Small Investment Credit KMKP - Kredit Modal Kerja Permanen - Small Permanent Working Capital Credit NAFED - National Agency for Export Development REPELITA I - First Development Plan, 1969/70-1973/74 REPELITA II - Second Development Plan, 1974/75-1978/79 REPELITA III - Third Development Plan, 1979/80-1983/84 UPPINDO - IDFC: Indonesian Development and Finance Corporation DEFINITIONS BY EMPLOYMENT CIs - Cottage and Household Industry Units, Employing 1-4 Workers SIs - Small Industry Units, employing 5-19 workers MIs - Medium Industry Units, employing 20-99 workers LIs - Large Industry Units, employing 100 or more workers CSIs - Cottage and Small Industry Units, employing up to 19 workers SMIs - Small and Medium Industry Units, employing from 5-99 workers MLIs - Medium and Large Industry Units, employing 20 or more workers FISCAL YEAR Government - April 1 - March 31 Bank Indonesia - April 1 - March 31 State Banks - January 1 - December 31 FOR OFFICIAL USE ONLY This sector report is based on the findings of a mission which returned from Indonesia at end-December 1978. The mission consisted of the following members: Fateh Chaudhri - Mission Chief Rogelio David - Non-financial Programs Hans Lesshafft - Financial Programs Keith Marsden - Policies and Incentives Vinod Prakash - General Economics and Statistics The report was discussed with GOI officials in June, 1979 and incorporates the ideas expressed during those discussions. The Report consists of two volumes: Volume I : The Main Report Volume II : Annexes and Statistical Tables This documont has a ratricted distribution and may be used by recipients only in the performance of their official duties. lii contents may not otherwise be discose without World Bank authorization. INDONESIA COTTAGE AND SMALL INDUSTRY IN THE NATIONAL ECONOMY VOLUME II - CONTENTS Page No. ANNEXES I Repelita III and the Development of Small-scale Industries ... 7 II Basic Statistics on Manufacturing Sector . . 19 III Research and Development Institutes ........................ 35 STATISTICAL TABLES Introduction Indonesia Industrial Classification 0.1 Overview of Household and Cottage Industry Sector by Rural, Urban Areas and Sec. 1974/75 0.2 Overview of Household and Cottage Industry Sector per Establishment and Persons Engaged, 1974/75 0.3 Overview of Manufacturing Sector by Scale of Operation, 1974/75 0.4 Top Eight Indust:ry Groups in Household and Cottage Small, Medium and Large Scale Industrt, 1974 0.5 Top Eight Provinces in Household & Cottage, Small, Medium and Large Scale Industry, 1974 1.1 Number of Manufucturing Establishments by Employment Size and Industry Group, 1974 1.2 Number of Manufacturing Establishments by Employment Size and Prov:Lnce, 1974 2.1 Number of Estab:Lishments Using Power Equipment by Size and Industry Group, 1974 2.2 Number of Estab:Lishments Using Power Equipment by Employment Size and Province, 1974 3.1 Number of Persons Engaged (Total, Paid & Unpaid) as % of Total for a Segment by Industry Group, 1974 3.2 Number of Persons Engaged (Total, Paid, Unpaid) and Paid & Unpaid as % oE Total for a Segment by Province, 1974 4.1 Number of Persons Engaged per Establishment, No. of Days per Person Engaged, & Wages and Salaries per Employee per Day by Indlustry Group, 1974 4.2 Number of Persons Engaged per Establishment, Number of Days per Person Engaged and Wages and Salaries per Employee per Day by Province, 1974 -5- Page No. 5.1 Number of Man-Days, Wages & Salaries, Value Added, Gross Output, Value Added/Person Engaged, and Value Added/ Gross Output (%) by Industry Group, 1974 5.2 Number of Man-Days., Wages & Salaries, Value Added, Gross Output, Value Added/Person Engaged and Value Added/ Gross Output (%) and No. of Man-Days by Province, 1974 6.1 Percentage Distribution of Number of Establishments, Number of Persons Engaged, Number of Man-Days, Value Added and Gross Output by Industry Group, 1974 6.2 Percentage Distribution of Number of Establishments, Number of Person-, Engaged, Number of Man-Days, Value Added and Gross Output by Province, 1974 7.0 Number of Establishments, Number of Persons Engaged, Value Added, Gross Output, Labor Productivity, Value Added/ Gross Output, Number of Days/persons Engaged, and Wages and Salaries per Man-Day by Major Industries, 1974 8.0 Percentage Distribution of Number of Establishments, Number of Persons Engaged, Value Added and Gross Output by Major Industries, 1974 9.0 Percentage Dstribution of No. of Persons Engaged, Value Added and Gross Output, and Index of Labor Productivity by Segments and Major Industries, 1974 10.0 Number of Establishments by Industries, 1974 11.0 Number of Persons Engaged by Industries, 1974 12.0 Value Added (Total in Rp Million) by Industries, 1974 13.0 Gross Output (Total in Rp Million) by Industries, 1974 14.1 Number of Establishments, Number of Persons Engaged, Value Added, Labor Productivity and Wages and Salaries by Major Industries, Central Java - 1974 14.2 Number of Establishments, Number of Persons Engaged, Value Added, Labor Prcductivity and Wages and Salaries by Major Industries, Jakarta, 1974 14.3 Number of Establisgments, Number of Persons Engaged, Value Added, Labor Prcductivity and Wages and Salaries by Major Industries, North Sumatra, 1974 15.0 Gross Output, Merchandise Imports and Total Supply by Major Industries, 1974 16.1 Cumulative Number of Establishments by Year of Commencement of Production by Industry Group, 1969-74 16.2 Cumulative Number of Establishments by Year of Commencement of Production by Province, 1969-74 17.0 Number of Establishments and Persons Engaged by Major Industry Group, 1970-77 18.0 Number of Establishments and Persons Engaged in Small & Handicraft Industry by Rural-Urban Areas and Industry Group, 1969-74 19.0 Number of Establishments & Persons Engaged by Province, 1973-77 Page No. 20.0 Growth of Manufacturing Employment, 1961, 1971, 1976 21.0 Scores of Industrial Branches Suitable for Small- and Medium-Scale Operation 22.0 Production of Selected Industrial Products 23.0 Small-Scale Industry Sector Study KIK Lending Operation by Bank as of December 31, 1974-1977 and as of September 1978 24.0 Small-Scale Industry Sector Study KMKP Lending Operation by Bank as of December 31, 1974 and as of September 1978 25.0 Small-Scale Industry Sector Study Cumulative KIK and KMKP Loan Approvals by Economic Sector as of September 30, 1978 26.0 Small-Scale Industry Sector Study Cumulative Industrial KIK and KMKP Industrial Loan Approvals by Provinces as of September 30, 1978 27.0 Small-Scale Industry Sector Study Total KIK and KMKP Arrears as of December 31, 1975-77 and September 30, 1978 28.0 Small-Scale Industry Sector Study Estimated Industrial KIK and KMKP Arrears as of December 31, 1975-77 and September 30, 1978 29.0 Characteristics of Cumulative KIK and RMKP Loan Approvals as of September 30, 1978 30.0 Characteristics of Cumulative Industrial KIK and KMKP Loan Approvals as of September 30, 1978 ADDITIONAL STATISTICAL TABLES Introduction (includes the List of Tables 1 to 21 by size class of employment): IA to 21A by Industries (26 three-digit codes) 1B to 21B by Provinces (26 two-digit codes) Province Codes and Names ANNEX I INDONESIA COTTAGE AND SMALL INDUSTRY IN THE NATIONAL ECONOMY Repelita III (1979-84) and the Development of Small Scale Industries Table of Contents Page No. Introduction .... . . . . . . . . . . . . . . . . . . .... 1 Need for Developing Base Line Data . . . . . . . . . . . . . . 3 Development Strategy and Emphasis . . . . . . . . . . . . . . . 4 Target Groups . ...... .. ....... . . . . ....... 4 Development Budget for CSI ... . . . . . . . . .... . 5 Coordination of Assistance ... . . . . . . . . .... . 6 Ground Rules and Modes of Coordination . . . . . . . . . . . . . 7 Modes of Delivering Assistance to CSI . . . . . . . . . . . . . 8 Scouting the Talent for Extension Workers . . . . . . . . . . . 9 Enlarging Market Channels . . ... ....... .... ... . 9 Subcontracting .... . . . . . . . . . . . .... . 9 Bulk Procurement . . . . . . . . . . . . . . . . . . . . . . . 11 Annex 1 Page 1 REPELITA III (1979-84) AND THE DEVELOPMENT OF SMALL-SCALE INDUSTRIES Introduction 1. Before analyzing the Third Five Year Plan and its relevance to CSIs, the following points are also worth mentioning. The First Five Year Plan (Repelita I) concentrated on stabilization of the economy and rehabi- litation of certain important sectors such as agriculture, industry (mainly resource based) and infrastructure such as power, telecommunications and transport. Industrial priorities related primarily to sectors supporting agriculture, such as fertilizers, agricultural machinery and processing of agricultural products. While the bulk of capital formation took place in the traditional branches of industries (such as food and textiles), significant amount of capital was also channelled to the resource based industries, including petroleum. 2. The Second Five Year Plan (Repelita II) continued the broad strategies of Repelita I. Within the industrial sector heavy emphasis was given to import substituting industries, protected by import controls, tariffs, and the investment licensing system. In general, the industrial strategy encouraged large scale capital intensive projects being highly dependent on foreign capital and technology and related (a) to the processing of national resources for exports (e.g. mineral ore smelter, liquid natural gas, etc.); (b) to the domestic production of intermediate products (e.g. steel, cement, fertilizer, chemicals, pulp and paper); and (c) to factory produced consumption goods. The majority of public sector and foreign investment went to the first two categories of industries and a substantial part of private investment to the last category of industries. 3. The main policy instruments used for promoting industrial develop- ment were: investment incentives; protective measures and policies related to industrial cooperation between foreign and national companies. The main elements of the investment incentive system included tax holidays, reduction or exemption of import levies and accelerated depreciation allowances. 4. These policies and incentives while resulting in rapid manufac- turing sector growth (about 12 percent p.a.) also lowered the price of capital relative to labor and hence encouraged the adoption of more capital intensive technologies with lower labor absorption potential. In fact during Repelita II less than half of the industrial sector employment target (600,000 jobs over 5 years as against the target of 1.2 million jobs) was achieved. 5. Due largely to these polices and practices, the present industrial structure shows two distinct characteristics. On the one hand there exists fairly modern, large scale, capital intensive, resource based industry sector being highly dependent upon foreign capital and technology. This modern sector has limited impact on industrial employment and few linkages with the general manufacturing sector which in itself remains dependent upon -8- Annex 1 Page 2 imported capital goods, spare parts and raw materials. On the othc- hand there exists the traditional indigenous small scale industry which employs more than four million persons and artisans but has been relatively unaffectcd by developments in the modern sector. 6. On the eve of the Third Five Year Plan (Repelita III: April 1979- March 1984) government planners and policy makers are reassessing the past performance and future role of the manufacturing sector. They seem to be concerned, as the Bank staff are, with the relatively (a) small (10 percent) share of manufacturing in total employment and slow growth in industrial employment; (b) low share of manufactured goods in merchandise exports (two-three percent) and the sector's heavy orientation to the domestic market; (c) predominance of consumer goods subsectors; (d) overconcentration of manufacturing activities in Java and urban centers like Jakarta; (e) underdeveloped processing sector primarily located in outer islands; (f) considerable gap between the traditional small scale and the large modern manufacturing sector and the lack of linkages between the two; and (g) high dependency on imported capital goods and raw material of domestic manufactur- ing industries. 7. It is being increasingly recognized that while large scale projects in a resource rich country are required at some stage of development, they must form part of the overall efforts and must be accompanied by developments of other industries that contribute to employment of a large part of the population. Without an employment oriented strategy in the industrial sector, yearly additions of about 1.5 million persons to the labor force would threaten the orderly development process and gains of past development efforts. 8. In addition to encouraging and bringing more balance between large capital intensive and small/medium labor intensive manufacturing industries, the future industrial strategy should also aim at achieving a better balance between domestic and outward orientation of the manufacturing sector as well as between the public and private sector investment in the manufacturing sector. The latter has gone down in recent years. A comprehensive analysis is needed to clarify elements of a viable strategy to achieve these goals. 9. As a first step towards identifying the problems and constraints facing small industry, the Bank has initiated a sector study, the results of which appear in the present report. In what follows, we have attempted a brief review of the development strategy and emphasis of the Third Five Year Plan, its relevance to CSIs, the proposed development budget and programs of assistance for the promotion of CSIs, as well as the choice of target groups envisaged in the Plan. -9- Annex 1 Page 3 Need for Developing Base Line Data 10. The Third Five-Year Plan to develop the CSI sector (of which the vast majority are traditional cottage industries) /1 was drawn up before the final evaluation of the achievements of the previous plan. Therefore, the quantitative targets set forth in the Plan can only be taken as broad orders of magnitude. Based on preliminary and incomplete data, the Plan calls for a growth rate for the CSI sector of 7% a year during the period 1979-84 (up from the 5% p.a. growth rate estimated by the Bank for the previous half decade), which would enable it to contribute 12% in the manufacturing sector value-added and generate additional jobs for 434,000 workers, at a cost of $500 each (at the old exchange rate of Rp 415:US$1). The broad targets for the CSI sector are brought into focus in the following table: THIRD FIVE-YEAR PLAN (FYP) TARGETS FOR THE CSI SECTOR, 1979-84 Gross Total Assumed value % of incremental % of growth of K:L added 1984 total employment total output ratio (Bn. Rps) ('000) p.a. (US$/Job) 1. Strategic industries 597 31 47 4 14 50,000 2. Consumption industries ],096 57 633 57 11 5,000 3. Cottage & CSI industries 238 12 434 39 7 500 Total ].,931 100 1,114 100 11 - Source: Draft Repelit:a III Document. 11. The Plan does not elaborate the underlying assumptions and bases of the projections, perhaps because of the paucity of baseline data on which it is based. In fact, the lack of reliable data on the CSI sector not only hampers planning efforts but also prevents a meaningful evaluation of the current situation and proposed assistance in this sector. Particularly lacking are statistical series that would show the growth trends and other characteristics of subsectors as well as provide guidance for a rational direction of assistance programs. Some of these CSI character- istics - product type:, employment, location, factor inputs, etc. - are analyzed elsewhere in this report, but the absence of accurate time series and analysis of the growth performance of the various subsectors make /1 The first Industrial Census of 1974/75 showed that this sector consists of 1,235,000 cottage industries employing 3.9 million persons and 45,000 units of small industries with total employment of 0.3 million persons. - 10 - Annex 1 Page 4 identification of priority areas difficult. Clearly this information gap must be bridged as soon as possible, especially since the CSI sector develop- ment constitutes one of the important features of the Third Five Year Plan. 12. During the first year of Repelita III, attempt must be made to assemble such a statistical base. A number of sectoral and project studies conducted over the past number of years under BIPIK's auspices (by universities and private consulting organizations) could serve as secondary sources to supplement the 1974/75 census data on which the projections above are based. These studies should be analyzed and used to the extent possible to assist planners in translating broad directives into action programs. In addition to more representative sample surveys - perhaps another census - of the CSI sector should be undertaken in 1979/80 - the first year of the Plan - to determine what changes or structural shifts have taken place since the last one was conducted five years ago. The results of this census should be processed and made available as soon as possible to the planning authorities so that they could formulate more concrete plans and adjust their targets and policies. Establishing the baseline data is of utmost importance not only for planning but also for project design purposes./l In the next section a qualitative assessment of the main features of the Plan, its new emphasis, and direction is presented. Developtnent Strategy and Emphasis 13. While the Third Plan's strategy, broad objectives, sectoral/geo- graphic coverage, and integrated assistance programs are not too different from that of the previous Plan's, both in terms of investment in the sector and in terms of assistance expenses, it proposes to put more emphasis on (a) promoting closer coordination among assistance agencies, financial and technical; (b) opening up new markets (and demand) for CSI products through subcontracting with the Government or larger trading firms; (c) developing bulk procurement schemes with government purchasing agencies; (d) and the strengthening of as well as continued experimentation with the various modes of delivering assistance. Clustering of scattered CSI and organizing them into cooperatives (in accord with Presidential Decree No. 2, 1978) will also be continued, although as in the past individual CSI seeking assistance still get some attention. Inasmuch as the quantitative basis of the Plan is not yet fully established comments will be confined to the basic strategy indicated above and the proposed new emphasis. Target Groups 14. Although it is desirable and politically expedient to help all CSI enterprises throughout the country, experience in the Second FYP has shown that it is not possible to do so with the limited supply of adequate manpower available for a nationwide extension services and the absence of effective coordination among agencies involved. The socio-political reasons behind the high priority placed by Government on assisting the "economically weak" /1 See Annex II for a more comprehensive write up on this issue. - 11 - Annex 1 Page 5 segments of the population are understandable. However, since these segments are found in all walks of life throughout the country, resources had to be spread out thinly, and credit and technical assistance has reached only a sma'l fraction of CSI entrepreneurs needing assistance. KIK/KMKP credits have reached only about 15,000 CSI clients (about 1% of total CSI) operating in the manufacturing sector, and these are often not the same ones who were affected by the technical assistance programs, an estimated 55,000 enterprises (4' of CSI firms). Since both constraints cannot be overcome in the short-term (recruitment, training, and deployment of extension workers now take an average of about 12 months), a fundamental issue facing the Government during the Third FYP is whether it is prudent to try to reach all CSIs as in the past with the meager supply of extension workers or focus assistance efforts only on selected groups of CSI in specific locations, while the capacity of extension services is being built up. 15. As discussed in Chapter V, Volume I of this report there are certain advantages of a more limited development approach. Briefly, it enables extension services to concentrate assistance on and address individual CSI problems, since the number of clients and areas to be covered is reduced within manageable limits. It also permits the essential follow-up, not now possible, that is needed to ensure that assistance coming from other agencies is obtained on time and more importantly, it is implemented properly. A limited approach moreover is conducive to sustained assistance effort in a coordinated fashion, because it involves only a few (usually 5-6) agencies to be coordinated on a specific, well-defined area. To initiate such an approach, however, agreement must be obtained on specific projects/areas to be assisted. In Chapter 5, para. 5.52 this report specifies some criteria that could be considered in the selection of such areas. One drawback that such a limited approach has is that it may not be politically "sellable" as it gives the appearance of favoring certain groups of CSI or regions over others. But this impression can be partly corrected by increased promotional efforts through the media to be disseminated to all types of CSI industries specifying that the government will still continue to assist any CSI that seeks help. In any case, a political decision has to be taken on this issue, bearing in mind the trade-offs involved and the pervasive manpower and organizational constraints facing the Government. The report recommends strongly the selectivity in Government approach. Development Budget for CSI 16. The development budget allocated for the CSI sector, amounting to Rp 50 billion (exclusive of credit assistance), reflects on the whole the new emphasis of the Third FYP. Although nearly 85% of the budget is allocated for extension services and raw material support (as in the previous Plan), there are increased allocations for marketing assistance, data collection/ processing and training of extension workers - three important areas in which the overall assistance framework has suffered deficiencies. An additional 2,650 extension workers are going to be trained over the next five years, an overly ambitious target when compared with about 300 extension - 12 - Annex 1 Page 6 workers trained over the past five years. On balance the budget allocations do not appear to be adequate for the tasks involved. The budget allocations are presented below: ALLOCATION OF DEVELOPMENT BUDGET FOR CSI (1979-84) % share Type of expenditures Third FYP budget of total (Rp billion) I. Extension services 20.5 41.0 (a) Production assistance 6.5 13.0 (b) Marketing assistance 6.5 13.0 (c) Entrepreneurial training 7.5 15.0 II. Raw material/machinery assistance 21.7 43.4 III. Data collection & processing 2.0 4.0 IV. Training of extension workers 1.6 3.2 V. Overhead 4.2 8.4 Total 50.0 100.0 Source: Repelita III Document. Reclassification of expenditures is done by the mission. No estimates of the foreign exchange component of the planned investment is given. It is not certain if these figures are exclusive of that component. Coordination of Assistance 17. Even if budgetary resources are increased to carry out development plans for the CSI sector, lack of coordination among the various agencies, particularly between financial banking institutions and other technical departments (ministries) may continue to be a major stumbling block, unless remedial steps are taken to promote closer coordination during the Plan period. Under the Third Plan, coordination by DOI of only a limited number of agencies, i.e., Department of Trade and Cooperatives, Bank Indonesia, Department of Public Works, Department of Manpower and Transmigration, and the Local Government, is envisaged. As has been borne by several project studies, on a working level the close cooperation of only these agencies is all that is needed to implement effective assistance programs in an integrated way. However, the Plan does not spell out the mechanism for developing this minimum amount of coordination. 18. In Chapter 5 of this report a mechanism for effecting such a coordination is suggested. To recapitulate, essentially the proposed mechanism consists of (i) a formal sanction or approval at a supra-ministerial - 13 - Annex l Page 7 level (by Bappenas and/cr Ministry of Finance) which would reduce or eliminate the basic budgetary constraints and overcome departmental sectoral interests which have hampered coordination efforts in the past, and (ii) agreement by the five specific agencies mentioned (spearheaded by DOI) to provide an integrated package of credit and technical assistance to a predetermined target group. For this limited coordination effort to succeed in practice, it must be focused on a limited number of largest cluster/project areas, and not as in the past on a broad range of groups scattered nationwide. Moreover, the coordination must be obtained only after these areas have been properly identified and surveyed. It must also involve specific bank branches and a specified local governme!nt body, whose cooperation is essential to the success of any assistance progrELm. In the past, attempts to cement coordination was promoted at the ministerial level, on assistance areas that have not yet been identified nor surveyed. Consequently, local government participation was almost completely ignorEd. 19. A number of project area studies that could serve as basis for this form of coordination are now available. The University of Indonesia studies on wood, rattan, clay and leather products are particularly useful as initial endeavors; they are analytical, they identify CSI problems in fairly specific terms, and preesent an outline of the sources and types of assistance required to solve those problems. Further groundwork will still be needed to transform these basic: studies into project documents, but in their present form they could be used as bases for coordination. Other studies or project profiles are being prepared by loan officers of state banks, and these the Third Plan proposes to use extensively as bases for drawing up work programs jointly with banks. BIPIK is also continuing the financing of more project/area studies to supplement its data base and develop project ideas These too can be analyzed and used as a guide for future cooperative action. There is thus no particular shortage of project identification studies or surveys. It is project appraisal reports, evaluating the project merits and viability as well as specifying needed credit and technical assistance, that are badly needed. These appraisal reports should be developed jointly by appropriate staff of banks and technical assistance agencies so that appropriate project designs emerge and grassroot coordi- nation at project level is developed. Ground Rules and Modes of Coordination 20. Developing closer links between banks and technical assistance programs in Indonesia as in other countries poses special difficulties on account of divergent cr:Lteria and varying standards of project evaluation and staff quality, in general, of these two sets of institutions. Bank personnel on the whole tend to be more commercially oriented and profit conscious than the civi:L servant extension workers, so that there are different and sometimes conflicting sets of motivation involved. However, experience in other counitries and to a limited extent in Indonesia also shows that cooperation between these two sets of institutions is not impossible, even only in an informaL fashion and on a working level. Analysis of these ad hoc forms of cooperation shows that this type of cooperation depends to a great extent on the personalities involved, e.g., the branch manager of a bank and the BIPIK chieE, but also depends on a number of ground rules that were observed by both parties. One is that the bank in question retains the right for final approvaL or rejection of the loan in question and that no - 14 - Annex 1 Page 8 pressure is exerted by the technical agency to influence banks' decision. Secondly, the bank must also have a say on the format and content of the appraisal made by the technical agency. With these two considerations in mind different modes of bank-nonbank cooperation on specific projects should be explored over the next Plan period. 21. There are different modes of coordination that can be tried, each to be considered in light of the peculiar nature of the products involved, the location, the entrepreneurs, the marketing prospects, etc. A working level committee, convened preferably by the head of a local government entity (such as the Governor's office) could be formed to determine and provide the credit and other technical assistance requirements of a specific area or cluster. Bank officials in this case may initiate the project cycle by identifying potential areas suitable for bank lending and preparing these areas to qualify for credits and fulfill other bank requirements; the local extension workers could then provide nonfinancial inputs needed. A similar approach is now being tried (with World Bank assistance) in three provinces East and Central Java and West Sumatra - but its success will ultimately depend on the availability and sustained application of other technical assistance to the project area after financial assistance is given. Another approach would be to form a team consisting of a loan officer, an extension worker, and a local government official to identify and survey potential areas of development within a specific region, and prepare jointly an assessment of the credit and other assistance needs of the area based on a joint analysis of the project merits and growth prospects. Assessment of the entrepreneur's creditworthiness in this appraisal report, however, should be reserved exclusively to the bank officials, as would the final approval or rejection of the loan in question. Yet another approach that might promote closer coordination would be to have a bank representative sit in or serve on call at the extension Service Center as part of the expert team dealing on a day-to-day basis with CSI clusters. While his role is basically to inform CSI on how to fulfill bank requirements, to fill out application forms, and to monitor the use of credit proceeds, he could also inform the other extension experts of banks' credits, terms and borrowing conditions. In all these different modes, the idea of working together for a common goal and thereby developing mutual respect and confidence over time should be a primary consideration. Since these modes are basically experi- mental in nature, flexibility in procedures, adaptation to local conditions, free exchange of views and information (except on matters that would violate bank clients' confidence) should be stressed. For these experimental modes to be replicable elsewhere, however, they must be evaluated periodically, noting both the reasons for their success and/or failures. Modes of Delivering Assistance to CSI 22. In the Third Plan, the same modes of delivering assistance as those experimented in the previous plan will be used, namely, CSI development centers, common service centers and demonstration centers, sales emporia, processing/marketing centers and shop clusters (or mini industrial estates). An analysis of these various modes shows that in the particular circumstances of CSI in Indonesia, these various modes could, if organized properly, provide satisfactory channels for credits and technical assistance. The - 15 - Annex 1 Page 9 clustering of CrI, moreover, is also found to be an efficient system of maximizing tLie use of limited manpower resources. These approaches and modes of delivery should therefore over the next five years be further developed and strengthened. A number of ways to accomplish this objective are presented in Chapter 5 of this report. Scouting The Talent for Extension Work 23. However, channels or modes of assistance are only as effective as the extension workers manning them. Hence, while the required number of staff are being trained - allow at least 24 months to establish regular training courses - maximum use should be made of private sector and other manpower resources to provide staffing and organizational assistance to these various centers. In view of the importance of these modes of delivering assistance, a separate budgetary allocation for hiring consultants or paying additional remuneration for other qualified civil servants may be justified and needed. (No budgetary allocation for this purpose is given in the Third FYP.) For instance, bank loan officers in the regional branches may be invited to give informational talks to clusters to explain what credit facilities are availa'ble for CSI, their terms and conditions. Private entrepreneurs engaged in trading, may also be "invited" for a fee or profit- sharing basis to provide short-term consultancy to sales emporia and other marketing cooperatives. There are also a large number of civil servants employed in various government departments who have had foreign and local training in industrial extension and project work. They too can be tapped to supplement the supply of extension workers while the training of regular workers is proceeding. The Manpower Volunteers (BUTSI) consisting of college students who are deployed to the rural areas to assist in community development projects could also provide useful "extension" of extension services. A total of 4,000 volunteers with varying skills are planned to be dispatched to rural areas in the Third Five-Year Plan period. The point of all this is that CSI needs are urgent and cannot wait for the build-up of adequate staff and development of polic-ies to meet those needs. This also underlines the need to establish as soon as practicable not only training facilities and courses for extension workers, but also service centers, demonstration units, and processing centers, equiping them with appropriate materials and tools to be used for instructional purposes. Enlarging Market Channels Subcontracting 24. Subcontracting as a means of expanding marketing outlets for CSI products is being emp'hasized in the Third Plan. For handicrafts and art-based CSI, subcontracting is planned to be developed by "trading houses." For sub- contracting arrangements between the more progressive small industries that are one step above the family-owned traditional enterprises, and which are better suited for subcontractual arrangements, individually or collectively, no specific agency is proposed to help them. No mention is made of who will - 16 - Annex 1 Page 10 finance or establish these trading houses./l Elsewhere in this report it is argued that as far as practicable private sector trading firms should be encouraged for this purpose. 25. The important issue to remember in this regard is that subcontract- ing arrangements are best encouraged by a regime of incentives for both the suppliers of products and the users of those products. Some of these policy incentives - credit, tax, tariff, and nontariff facilities - are discussed elsewhere in this report. For the bulk of CSI, however, policy incentives and stable market conditions may not be sufficient to enable them to live up to subcontracting arrangements. Because of their size and limited production capacity, their scattered location, lack of uniform quality and product standards, these CSI will not be able to meet large orders, unless some agency were to organize them collectively. Such an agency would essentially procure orders for CSI products, allocate these orders among individual CSI's, and ensure that the orders are met on time and of the right specifi- cations. These primary subcontractors could also perform quasi-financial functions by acting as channels for credits in kind or in cash to enable CSI enterprises to meet orders. The rationale, functions, and organization of such agencies are discussed in more detail in Chapter VII of the SSE Project Identification Report./2 Even in this case the potential for the use of private sector trading firms has been stressed. Also initially, some of these arrangements have to be on experimental basis. 26. Special consideration should be given to those CSI's engaged in the manufacture of products that could be used by or "subcontracted" from larger industries and assembly plants, e.g., the automobile assemblies, TV, radio and electrical appliances, and electronic assemblies, or sold as components overseas. This aspect of CSI promotion is still small in relation to the CSI and the whole manufacturing sectors, but there is wide scope for further growth. Most of its basic raw materials are produced locally. Besides, Indonesia has the technological capability and institutions to develop subcontracting. However, before or simultaneous with subcontractual arrangements, a substantial amount of technological assistance and supervision would be needed to improve product quality and design as well as to expand output. The Metal Industries Development Center (MIDC) and Electrical Institute in Bandung could contribute significantly in this respect. At present, however, their extension services have not reached a sufficient number of CSI engaged in this sector due to budgetary and manpower constraints. Their present organization and salary scales have prevented these institutes from hiring and keeping high quality staff. BIPIK has also been instrumental in providing technological and marketing assistance to a group of foundry shops in Ceper (Central Java), and this experience appears to be replicable also in other areas of the country where metal and plastic products are being produced. Apart from the technological inputs required in this sector, the Government should also provide other incentives - credits for working capital, prefe- /1 Certain financial institutions such as UPPINDO, P.T. Bahana are reported to be interested in supporting these trading houses. /2 Report of a Mission to Identify and Prepare a Small-Scale Enterprise Project for World Bank Support, January 1979. Annex 1 Page 11 rential pricing of raw materials, tax and duty rebates and the like - to stimulate production. On the demand side, large assembly plants may also be encouraged in similar ways to procure components from these small firms. Trading houses could alsoi be motivated to organize procurement and subcon- tracting arrangements ancl in collaboration with MIDC or BIPIK could ensure that proper specifications are met. All this can be encouraged if specific incentives (fiscal, monetary, etc.) are provided to promote subcontracting arrangements to the parties involved. STRUCTURE OF THE METAL AND PLASTIC FABRICATION INDUSTRIES 1974/75 Output Value added Employment CSI MLI CSI MLI CSI ILI (Rp billion) (Rp billion) ('000Y- Metal products, fabrications, machinery 14.9 173.8 6.9 60.3 78.0 56.0 Plas.ic fabrications 3.2 11.3 1.0 3.1 10.0 10.0 Total Manufacturing 358.4 1,293.8 135.6 476.9 732.0 622.0 Metal and plastic in % of total 5.1 14.3 5.8 13.3 12.0 10.0 Source: Statistical Appendix. Bulk Procurement 27. As noted elsewlhere in this report, the wood products, building materials, and to some eXtent metal fabrication industries - three major sub- sectors within the CSI sector - could develop adequate markets domestically that could sustain their viability. The Third Plan for CSI therefore proposes to explore bulk procurement schemes with the Department of Public Works and the Department of Transmigration. It should, in addition, (although not mentioned in the Plan) eXplore possibilities of obtaining orders for these products from the Government Procurement Office for other departmental office use in the center and in regions. Due to the scale of operation and scattered location of CSI in these subsectors, however, meeting bulk procurement orders particularly those destined for various locations (e.g., low cost housing sites in various cities) will present difficult mobilization and transport problems that individual or even a group of CSI firms would find insurmount- able. Hence, there must also be an intermediary mechanism or institution that could ensure that bulk orders are met and delivered on time. 28. The Government in the course of the Third Plan could take a number of specific steps to promote bulk procurement schemes. First of all, an inventory of those wood, cement, clay, and metal products that are now being produced by CSI - or could be produced by small firms using local labor and materials - should be taken immediately. The results of this inventory should then be matched with the list and specification of products that are - 18 - Annex 1 Page 12 commonly purchased by the Government on a fairly regular basis./I Once the preliminary survey and analysis are done, the Government could then select a few products - perhaps office desks, chairs, bookshelves, bricks, roofing tiles - that could be set aside for CSI manufacturers or given an appropriate price preference. Experience in other countries has shown that this system of bulk procurement works best if carried out in stages, either by increasing the number of items, the number of offices designated to buy them or both over a specified period of time. Also to ensure repeat orders, after-sales service must also be provided by the CSI suppliers. 29. It is in the area of policy and incentives, however, that the Government could best promote bulk procurement of CSI products. Procurement policies may be influenced to give preferential treatment to bids coming from trading companies that specialize in CSI produced items. Tax, credit, and nontariff incentives may also be given to both traders and producers. If justified protective tariffs for some local CSI industries may also be enforced vis-a-vis domestic large-scale industries and imports. Large foreign and local contracts awarded for building government projects may also be required, as far as practicable, to utilize locally produced CSI products. While all these measures are not new to Indonesian policymakers and have been tried with mixed records of success in the past, they could in the next Five-Year Plan be given fresh impetus and new directions, parti- cularly since the basic "linkages" of the whole industrial sector are now better known than in the past and small industry establishments have reached a stage of development where they can be expected to take advantage of incentives offered. LI The Department of Public works (DG of Construction) has the capability to assist CSI engaged in producing wood products and other wooden articles in meeting specificaitons through its kiln drying, wood preserving, and brick plants. ANNEX II INDONESIA COTTAGE AND SMALL INDUSTRY IN THE NATIONAL ECONOMY Basic Statistics on Manufacturing Sector Table of Contents Page No. Introduction . . . . .. . . .. . . . . . . . . . . . . . . . . . I Description of Industrial Census, 1974/75 . . . . . . . . 1 Planning, Designing and Methodology . . . . . . . . . . 1 Presentation of Stat:istics ... . . . . . . . . . . . .... 4 Industrial Classification and Coverage . . . . . . . . . . . . 4 Characteristics Covered and Special Tabulation . . . . . . . . 5 Adequacy of the Present Data Base . . . . . . . . . . . . . . . 7 Description of the )ata Base . . . . . . . . . . . . . . . . . 7 Evaluation of the Data Base ... . . . . . . . .. . . ... 8 Suggestions for Improving the Data Base . . . . . . . . . . . . 12 - 19Z - ANNEX II Page 1 BASIC STATISTICS ON MANUFACTURING SECTOR Introduction 1. This Annex should be read in conjunction with the Main Report (particularly its Chapter 3: Characteristics of Cottage and Small Indus- tries), because it either elaborates certain points only briefly mentioned there or discusses additional issues. It consists of two sections: The first section describes Industrial Census, 1974/75. The second section briefly describes and evaluates the present manufacturing data base, and suggests improvements in it. 2. The Industrial Census 1974/1975 (the Census) is by far the single most important source of manufacturing data on Indonesia. Therefore, besides describing its design, presenting results and coverage (including indus- trial structure, geographical concentration, socio-economic characteristics), the Mission evaluated the Census in the context of the new challenges facing the industrial development planners of Indonesia. Thus, the evaluation must not be construed as a criticism of the Industrial Census in the context of its own objectives and resource availability. Actually, given the mandate and resources of BPS, it may not be easy to suggest improvements in the Census. But as mentioned in Repelite III, the Government of Indonesia wants to improve the empirical basis of its industrial development programs and policies. Therefore, the Census can be one of the important and effective vehicle to meet those objectives, and hence, the evaluation (see para 17 below) was attempted by the Mission. A. Description of Industrial Census 1974/75 Planning. Designing and Methodology 3. The Central Bureau of Statistics (BPS) under its five year develop- ment program conducted a census/survey of all industrial establishments in Indonesia during 1974/75. The Industrial Sector consisted of manufacturing mining, quarrying, electricity generation and distribution, gas production and distribution, and water works. The manufacturing activity was divided into four segments classified according to the new definition of size by the scale of operation (in terms of the number of persons engaged in an estab- lishment), which differs from the old definition as shown below: -20- ANNEX II Page 2 | SeRment | New definition I Old definition l iLarge (LI) I 100 or more persons engaged | 100 or more employees withoutl I I I power equipment l 50 or more employees with l l l| power equipment l IMedium (MI) | 20-99 " I 10 to 99 employees with l I I I power equipment l IlI 5 to 49 employees without l I I power equipment ISmall (SI) I 5-19 f | 1 to 9 employees with I l power equipment l l Ii1 to 4 employees without l l l I power equipment ICottage & | 4 or less " _ I Household(CI)I l l It appears that the small industry according to the old definition could in- clude entire cottage and household industry provided the distinction between "persons engaged" and "employees" is disregarded. 4. Planning, designing and preparation for this massive field investigation, involving enumeration of almost a quarter million manufacturing units (including 192,700 sample CIs out of 1,234,500 in the universe), were completed by June 1974. The operation procedure, geographical coverage, timing and duration of the field work, and the reference period naturally differed among the segment as shown below: - 21 - ANNEX II Page 3 Item CI | SI | MLI l 1Operation procedure 1 8 % Sample I Complete enumeration IGeographical coverage I Whole Indonesia I Whole Indonesia I l except low l | density rural l l l area /a l ITiming of field operation I Aug 74 - Jul 75 | June 75 - Aug 75 IDuration of field I I operation 1 12 months I 3 months I I I IReference period lI I la. Field operation I Last 30 days I Last 3 months I Full yearl IlI I 1974 lb. Published results I Jul 74 - Jun 75 | 1975 j 1974 5. The CIs were covered by a stratified random sample, wherein 8% of the 1971 population census blocks from each subdistrict, separately for the rural and urban areas of each province, were selected. The number of sample blocks in each stratum was adjusted to the nearest multiple of 12 so that each month one sample block could be covered. This is an excellent way to avoid seasonal effects, but somehow similar approach was not adopted for SIs for which the data related only to the last three months (and not a whole year). The observed value of a characteristic for a small establishment is, therefore, multiplied by the following adjustment factor: Average number of working days in a month X Number of operating months in a year + Number of working days in the last three months. /a The excluded seven provinces are: East Nusatenggara, Central & East Kalimantan, Central and Southeast Sulawesi, Maluku and Irian Jaya. This exclusion is unlikely to seriously affect the results at the national level, the uncovered population being less than five percent. Some provincial totals, however, might be seriously affected. - 22 - ANNEX II Page 4 Thus, the SI estimates do not relate to either 1974 or 1975 in a strict sense. Further, errors in statistical estimates may be large, partly due to inevi- table problems in measurement of economic activities in cottage and small industries and partly due to the field staff which was not specialized in this area. The estimates, therefore, may be valid for either 1974 or 1975; the Mission considered them valid for 1974 mainly because the MLI data clearly pertains to 1974. It should, nevertheless, be recognized that the statis- tical profile thus emerging for any manufacturing activity, first aggregated by segments and then by industries or provinces, is only an artifact for 1974. Presentation of Statistics 6. The statistical results are published in 26 volume: 5 for CIs, 11 for SIs and 10 for MLIs. The results for whole Indonesia at five digit industry codes (also at three digit industry code for CIs) and those for a province for an entire segment are given in the respective volume I. Other volumes naturally differ from segment to segment. For instance, all the 26 provincial totals are provided for CIs in volume III. But these totals for SIs are given for seven provinces (North Sumatra and South Sulawesi besides Java island's five provinces) in the respective seven volumes, which also contain data by regencies/municipalities; the remaining three volumes present data for the four provinces each in Sumatra and Sulawesi islands and for the remaining nine provinces respectively. The data on individual industries by each province, however, are not published for MLIs due to limited number of observations, nor are published by regencies/municipalities for the same reason. The data on industries at provincial level are, however, published for four or five provinces of Java island. The data on processing and manufacturing at estates is contained in an exclusive volume on MLIs, which is not yet published. Finally, CI segment has three more volumes, out of which volume II is of particular interest because it shows data on labor force participation, cross-tabulated by sex and age-group, by rural/urban for whole Indonesia as well as for each province, some regencies and municipalities./l Industrial Classification and CoveraRe 7. Manufacturing industries are classified into 28 (three digit code) industry groups and 127 (five digit code) industries according to the Indonesian Industrial Classification (IIC), available in most census volumes. It is reproduced (with minor editing) in the Statistical Annex, pp. 48-49. The classification closely resembles with the International Standard Industrial /1 Volume IV shows itemized inputs and outputs (quantity and value) by province, and volume V shows investment in the new buildings constructed in rural areas. - 23 - ANNEX II Page 5 Classification (ISIC). /1 However, it excludes two important industry groups: ISIC Code 353: Petroleunm Refineries and 354: Misc. Products of Petroleum and Coal. It also misses another industry group, namely code 372: Non-ferrous Metal Basic Industries, although the data are included in the census. There are other ambiguities. For instance, IIC Code 32210 and 32290 relate to wearing apparel without appropriate distinction. Because IIC Code 382 is not split into four or five (Ligit codes, entire non-electric machinery is lumped together. Sub-codes of 1IC 383 and 384 also need refinement. 8. The household and cottage industry (CI) data are available only for the 53 five digit industries, because very limited manufacturing operations were found in the remaining industries. The remaining operations were found so limited that seven industry groups had to be lumped together. These goups are: Other Mlanufacturing Industries (Code 390), Industrial Chemicals (Code 351), Glass and Glass products (Code 362), Iron and Steel Industry (Code 371), Machinery except Electrical (Code 383), and Scientific, Precision, Optical and Photographic Equipment (Code 385). 9. The small scale industry (SI) data on the number of establish- ments and persons engaged are available for all the 127 industries, but the data on inputs and output: are available for only 112 to 114 industries, since the remaining 14 industries had only 1 to 2 establishments each. How these 14 industries are accounted for in the SI totals is not clear. 10. The medium and large scale industry (MLIs) data are avialable for the 114 five digit codes.. The six industries pooled together, because the first four industries had only one establishment each and the last two had only two each, are: Other Soyabean Products (Code 31249), Furniture & Smallware from Bamboo, Cane, Reed, Willow, etc. (Code 36220). Moreover, the three industries combined, because the total number of establishments was only four, are: Musical instruments (Code 39020), Toys (Code 39040), and Stationery (Code 39060). Finally, (Code 31162) and (code 31164) Wheat Flour are combined, although description of the former is not available because it is shown in the classification together with Code 31161, which is Rice Milling, Cleaning and Polishing. Characteristics Covered and Special Tabulation 11. The characteristics covered by segments are generally but not always the same. The comamon characteristics for which one can have a comprehensive view of the manufacturing activity by the scale of operation /1 The International Standard Industrial Classification of All Economic Activities, Series M No. 4, Rev. 2, United Nations, New York, 1968. - 24 - ANNEX II Page 6 (or segments such as CI, SI) as well as by an industry for whole Indonesia and also for principal regions are the following: /1 (a) Number of establishments by year of commencement of production: before 19.69 and onwards; (b) Number of establishments with/without power equipment by the number of persons engaged: 5-9, 10-14, 15-19, 20-49, 50-99, 100-499, 500+; (c) Number of persons engaged: paid - production workers, and other employees, unpaid - household members; (d) Value of input: raw materials and auxiliary materials, fuels and lubricants, electricity purchased, packing materials, other materials, industrial services, repairs and maintenance; (e) Value of output (at market prices): goods produced, industrial services rendered, profit from resale of goods in the same form as purchased; (f) Census value added (at market price). 12. As the legal status, and consumption of fuel lubricants by type of fuel may not be very important for manufacturing establishments, the data are published for them by province but without industrial breakdown. As mentioned in para. 6 above, several other characteristics were covered for CIs. Further, many more characteristics were covered in the census of MLIs for which results are also published, but they are not of particular interest in the context of the present report. Moreover, the data on the number of mandays worked and wages & salaries etc. were collected but some- how not published for SIs. Finally, published reports provide data only on the number of establishments by the size of employment. Of course, no publication can provide every conceivable tabulation. The Mission has, therefore, done some special tabulation from the data tapes on SMLIs. The special tabulation estimates sometimes differ from the published estimates as shown below and presented it in the Annex: "Additional Statistical Tables" pp. 105-148. /1 For the characteristic which are seldom important for CIs, a comparative picture can be drawn only for SMLIs. Such characteristics include year of commencement of production, use of power equipment, paid employees other than production workers, detailed input categories, resale of goods. - 25 - ANNEX II Page 7 SIs MLIs Characteristics Unit Tape Pub. Tape Pub. Total number of establishments no. 43,381 48,186 7,386 7,091 Total number of using power no. 324 341 4,259 4,308 Total number of persons engaged (000) 329.73 343.24 691.53 667.59 Total number of paid emp:Loyees " 254.35 269.00 684.46 661.70 Total number of unpaid workers " 72.38 74.24 7.07 5.88 Total number of mandays mln 54.66 n.a. 164.39 163.02 Total wages & salaries bln Rp 15.56 16.30 93.72 93.29 Total inputs " 98.56 104.53 816.92 816.84 Total outputs " 149.44 157.56 1,303.79 1,293.79 Census value added 50.88 53.03 486.87 476.95 In general, the data on SIs do not differ significantly, but the data on MLIs considerably differ for most characteristics, particularly on the value added and output. These differences may be due to differences in the estimation procedures used by the Mission and BPS, or due to pre-publication editing done by BPS, or both. B. lidequacy of the Present Data Base 13. Sound policy decisions depend on accurate information, and the rele- vance and adequacy of iniormation changes with the changing needs of a country. Indonesia formulated and implemented Repelita I and II on the basis of the of the statistical information available until recently. Repelita III poses new challenges, and implementation of its industrial development programs needs new, more accurate monitoring system. The development programs of Repelita I, II and III will constitute a basis for formulating subsequent plans which will need even more improved statistical information system. Improvement of a statistical data base is gradual and often more complex and time consuming than is generally assumed. After briefly describing and eva- luating the existing manufacturing data base, the Mission sketches the dimen- sion of a possible manufacturing data base necessary for meeting Indonesia's industrial development needs. Description of the Data Base 14. The main sources of statistical information on manufacturing sector are the industrial censuses/surveys carried out by BPS, mostly annually, over the last decade and a ha].f. The first industrial census was conducted in 1964, - 26 - ANNEX II Page 8 and the second in 1974/1975 whose results were published during September- December 1978./1 The latest survey for which results are now available relates to 1977, but it covers only MLIs. The first survey of SIs, subse- quent to the 1964 Census, was conducted in 1969 and then annually until 1974. In 1974/1975, however, an industrial census was conducted in which establish- ment coverage was extended, probably for the first time, to include all CIs. These censuses/surveys cover data on number of establishments, employment, value added, gross output, etc. by segments (such as CIs, SIs). Moreover, BPS has been intermittently conducting the national socio-economic survey (SUSENAS) for a long time. The recent SUSENAS assembled statistical inform- ation directly pertaining to manufacturing activity, such as employment by economic activity/status, consumer expenditure on manufactured (and other products. The ongoing 1979 SUSENAS also encompasses data assembly on CIs similar to that of the 1974/1975 Industrial Census./2 15. Besides BPS, the Department of Industry has been assembling manu- facturing data at least since the early seventies through its vast network of regional (provincial/district/sub-district) offices. The mission finds it very difficult to describe this data base as the information on concepts, measurements, methodology, evaluation, etc. is not available. The data per- taining to various facets of the manufacturing activity are periodically gathered by the Department for "monitoring and policy purposes." Por in- stance, the data on prices, production and employment are gathered weekly on 47 major commodities. Similar data are gathered quarterly on 32 important industries. Some provinces seem to be gathering similar data on a monthly basis. The quarterly data gathering exercise appears to be most comprehen- sive as it completely enumerates not only MLIs or SIs but also CIs, and the information sought virtually covers the same general ground as that of an industrial census/survey conducted by BPS. Moreover, information is also gathered quarterly, in some provinces even monthly, regarding problems faced by a manufacturing establishment in its operations. Evaluation of the Data Base 16. The questions raised by the existing data collection and assembly procedures are: whether the available data meet the usual considerations of consistency, reliability, validity, timeliness, etc. Are there any missing links which can be easily provided by the existing statistical system by /1 Except for the agro-processing and manufacturing activity at estates for which the report is not yet published. /2 BPS also periodically assembles data on production and prices of selected manufactured products as well as on the index of manufac- turing production for selected industry groups, besides others. Since these statistics are not assembled by the manufacturing segments, they are not reviewed here. - 27 - ANNEX II Page 9 infusing in it a greater concern for analytical usage? What are the princi- pal gaps in the statistical information, whose provision may entail a significant effort by the present statistical system? Should all these gaps be filled by official agencies on a national or provincial basis? Are there some functional relationships (such as, techno-economic, behavioral) which can perhaps be better understood by conducting case studies instead of national surveys? In which areas of policy oriented research should local academic institutions be expected to collaborate with official agencies in their endeavor to provide a sound empirical base for public policy? The present data base is evaluated by considering these points with special re- ference to the needs of public policies, programs and priorities for promoting CSIs in Indonesia. Evaluation of the 1974/1975 Industrial Census is done first, and that of the data generated by the Department of Industry is done next. 17. The 1974/1975 Industrial Census is an enormous improvement over its predecessor in many respects, including the coherent approach, design, me- thodology, concepts, coverage and reliability of results./l As a consequence of its relentless and sustained efforts to improve the manufacturing data base, BPS is cognizant of the many deficiencies which still prevail in the recent census. For instance: (a) Its industrial coverage is partial because a very important industry - petroleum refining, and miscellaneous products of petroleum and coal - is not covered. Moreover, processing of palm oil, coffee, tea, rubber, etc. does not seem to be adequately covered, perhaps because the distinction between manufacturing and agricultural activity at estates may not be clear. Similarly, the coverage of several other industries (rice milling, wearing apparel, rubber products, non-ferrous metal products, motor vehicle assembly, etc.) may be incomplete, either because of the difficulties in demarcating manufacturing from agriculture, mining, trade, finance, etc., or because of thie inadequate accounting practices prevalent among all enterprises. (b) The nature and extent of non-response and underreporting have not been sufficiently examined. Considerably more consistency checks (both externaL and internal) are needed to ascertain reliability and /1 It is not- crucial to evaluate the industrial census/surveys conducted prior to the 1974/1975 Census; first, because they have been discon- tinued, and second, because they contributed very little towards the statistical foundation needed by policy makers to articulate sound industrial policies, programs and priorities. They suffer from a variety of shortcomings such as inadequate master list and field organization, ambiguities in concepts and measurement, seasonality, unknown extent and nature of nonresponse, very limited scrutiny and analysis of data. - 28 - ANNEX II Page 10 validity of the data. Such checks will involve (but not confined to) greater use of the data on household consumer expenditure, imports, agricultural and mineral production, labor force surveys, etc./I (c) Nonavailability of the data on mandays, wages and salaries and location by rural/urban areas regarding SIs is quite conspicuous./2 (d) Statistical analyses such as by size class of employment, by estab- lishments using or not using power equipment (use of power can be a surrogate measure of capital intensity), by commencement year of production have not been done, although information, solicited in the census and already processed, lends to such analyses. (e) The duration and reference period of the field inquiry for the three segments of the manufacturing sector (CIs, SIs and MLIs) are such that they do not lead to any common period of time. Moreover, results on SIs are not immune from seasonality because both the reference period and the field operations were confined to only three months. (f) The labor force is often engaged in CIs on a partime time basis because it participates in other economic activities such as agriculture, trade. The information on participation in other activities is essential for an accurate assessment of labor productivity, work intensity and earnings./3 (g) The master list of manufacturing establishments showing their uni- verse may be deficient particularly regarding the coverage of SIs as apparent from the recent field work done by BPS in two or more provinces. /1 The wide discrepancy in the estimates of value added in manufacturing activity is apparent from a comparison of the GDP originating in the manufacturing sector, as reported in the national accounts and in the 1974/1975 Census which excludes several important activities mentioned above. The former being almost 50% more than the latter. Reconciliation of these two estimates will involve substantial effort, but will be worth the cost. The Department of Industry in collaboration with BPS should undertake this task. /2 The information on these characteristics, solicited in the questionnaire on SIs, is useful for policy-oriented analysis. /3 This assessment is also handicapped by defining full time participation only in terms of the number of mandays in which a person worked for five or more hours. Even with additional data processing the census will not lead to an accurate measure of work intensity. - 29 - ANNEX II Page 11 18. The evaluation of the vast amount of data periodically compiled by the Department of Industry through its field offices at various levels of government can be summarily done as the program seems to be lacking a tech- nical approach in virtually all its stages: planning, designing, concepts, methodology, field operations, data processing, editing, analysis, end use and so on. /1 The overall quality of the data assembled by the Department needed so much improvement that the Mission had to forego its use. For instance, the guidelines issued for this purpose were ambiguous; the concepts and measurements were not defined. Also, the assembled data did not uniformly relate to the same manufacturing segments, nor was the consistency between these segments by various characteristics (that is, employment, value added, etc.) always maintained. The unit of quantity or valuation was often missing. The data were hardly scrutinized for completeness and internal consistency. Annual fluctuations in the number of establishments and employment at provincial level were often incomprehensible./2 Finally, the response was quite delayed and poor since only 13 provinces (out of 26) responded, over a period, of several months. /3 19. Besides the abovementioned periodic generation of manufacturing data there have been other studies that have generated data on certain functional relationships in the manufacturing sector. For instance, BIPIK published 21 or more project profiles which contain information on relation- ships such as input-output, capital-labor. However, the reliability of the profiles showing norms is sometimes questionable because little seems to be known about the assumptions, methodology, sources of engineering and other data used, which constitute the empirical basis of those prototype model projects in the small industry segment./4 /1 Moreover, there appears to be a considerable overlap with BPS in the collection of statistical information; the latter, however, is essen- tially managed and run by technical and experienced statisticians. /2 Out of 4,400 MLIs, a province lost 2,000 units in one year. Another province lost and gained 400 SIs (out of 1,200) in the two consecutive years. The average number of persons engaged per MLI varied from 11 to 18 in some provinces although by definition, no MLI should have less than 20 persons engaged in it. /3 A portion of the assembled data are presented in Annex Table 19 which shows that the data from three or four provinces could not be used at all. /4 The Department of Industry also sponsored studies on regional development potential, one in each province done by a local university. A scanning of a few studies and their limited follow up did not enlighten a reader about the empirical foundation of certain functional relationships (used therein. -30- ANNEX II Page 12 Some Suggestions for Improving the Data Base 20. The above discussion clearly indicates that Indonesia's existing manufacturing data base is extensive but needs considerable improvement for it to be useful to decision makers for promoting CSIs. Even the recent industrial census does not provide data on capital/labor-skill intensities, it does not cover the entire manufacturing activity, and its data are often insufficiently disaggregated to provide an adequate base for policy oriented analysis. Virtually little is available on demand for manufactured products, or linkages between various manufacturing segments, or on marketing or procurement of industrial goods. Most importantly, no accurate time-series data are available on industrial employment or investment. Further, very limited data seem to be available at establishment level or on functional relationships to support the empirical foundation of the national industrial development plans. Government's inability to meet its industrial employment target in Repelita II also suggests that the policy makers may wish to assign a high priority for improving the empirical basis of their decisions to ensure an effective formulation, monitoring, evaluation and implementation of the programs and policies./1 21. The best institutional arrangement for improving the data base seems to be a joint effort by BPS, Department of Industry and BAPPENAS in collabora- tion with research institutions, manufacturers' associations, etc. wherein comparative advantage of each one is fully exploited to further the national interest. In particular, BPS as the principal data generating agency possesses the professional expertise and experience needed for periodic collection of basic industrial statistics. It also possesses the necessary resources for timely processing and editing of the data, though they will have to be augmented in order to meet its additional responsibilities. The Department of Industry as the principal user agency can ensure that the statistical informa- tion needed by it is collected, processed, edited, analyzed, and made available to policy makers in a useable form. Because of its continuous contacts with manufacturing units, the Department can also help BPS in updating its master list or universe. BAPPENAS as the central planning and budgeting authority can ensure that resources allocated for the aforesaid data improvement effort are consistent with overall national priorities. It can also ensure that the data improvement plan appropriately subsumes the implications of inter-sectoral interdependence so as to meet the needs of other official agencies as well, besides the Industrial sector. Perhaps an Inter-Departmental Steering Group, drawn from the top management of these three institutions may be established to evolve and oversee broad guidelines, basic principles and overall priorities. This Steering Group may be supported by an Inter-Departmental Technical Group which will provide the necessary technical guidance and oversee implementation of mutually agreed programs. /1 Performance of a Repelita depends on numerous factors whose considera- tion is beyond the scope of this report. Significance of the industrial employment is briefly stated in Chapter 2 of the Main Report. - 31 - ANNEX II Page 13 22. The aforesaid joint effort of the three official agencies needs to be supplemented by drawingt upon the resources of certain non-official agencies. For instance, it can be far more cost effective to contract local academic or research institutions to conduct certain studies than to conduct them in-house by either of the official agencies./I In general, studies which are exploratory in nature, which are not periodic, which involve limited field operations, which need in-depth analysis of complex relation- ships and so on may be most appropriate for contracting to these institu- tions. For instance, studies on economies of scale, effective protection, economic efficiency, comparative advantages, etc. can be suitably formulated and implemented only if designed and conducted by experts in the respective fields. But the user agency must be clear on the objective and scope of work in these studies and should draw up the terms of reference for them and monitor the program on. the studies contracted out. Finally, it will be desirable to forge close links with manufacturers' associations, chambers of commerce, etc. partly to ensure that government's data gathering operations do not unduly divert manufacturers' attention from their prime concern, namely, manufacturing operations, and partly to ensure their full cooperation in improving the manufacturing data base. 23. An effective implementation of the above scheme will entail im- portant changes both in BPS and the Department of Industry. Perhaps a fundamental weakness of manufacturing data gathered by BPS stems from the present organization of its field operations where responsibility is essentially allocated by geographical areas and not by kind of field inves- tigation, such as manufacturing, agriculture, household inquiries./2 Now almost all the 3,000 field investigators collect manufacturing statistics and only a few among them may fully comprehend the complexities of a manu- facturing enterprise. For instance, no data on investment and capital stock was collected even in the 1974/1975 Census, probably because the pilot study revealed that the field staff had to be far more familiar with business accounting practices for eliciting the appropriate information. Rice milling, cleaning and poliShing in CSIs was not fully accounted, probably /1 Also the end product can be of a better quality because of the use of most appropriate (perhaps latest) methodology, conceptual refinements and broader perspective. Moreover, academic/research institutions are the source of supplying qualified and trained professional staff to official and other agencies. Through those contracts these institutions can strengthen their capability to provide the training and experience that are needed by the government staff for conducting economic and statistical analyses. /2 Though it is administratively convenient and may have served BPS effectively until now, it is not entirely satisfactory from a technical angle especially in the context of collecting complicated manufacturing data which have not been available to date. -32- ANNEX II Page 14 because a small manufacturing unit usually does not maintain proper accounting records, which cannot be constructed without an expert's assistance. Agro- processing and manufacturing activities in plants at estates were not appropriately integrated with the similar activities in plants outside estates, probably because demarcation between manufacturing and agricultural activity was beyond the capability of most field staff. 24. Can the aforesaid shortcomings of the present manufacturing statis- tics be overcome? Probably yes, provided field staff is intensively and effectively trained in manufacturing statistics and survey methodology to- gether with data collection techniques. And such a training can be imparted by only a small team of field workers, say 100 to 200, for whole Indonesia. As with any developmental effort, strengthening of field operations is not a one time task; it is a continuing process involving continuous improvement through formulation, implementation, monitoring, evaluation and reformulation. Moreover, the field operations should be directly guided by BPS to ensure uniform standards and methodology. More quality check procedures should be established for field operations with a provision for referring back to respondents, whenever necessary. The proposed reorganization of BPS, which is awaiting a Presidential Decree, if it comes through, may facilitate the abovementioned strengthening of the field operations, besides further strengthening its heaquarters staff, particularly in the area of statistical analysis. 25. A review of all the periodic manufacturing surveys (quarterly, annual, quinquennial and decinnial) now conducted by BPS will be needed to ensure that all the four segments of manufacturing sector (that is, CIs, SIs, MIs, and LIs) are periodically covered through suitably modified questionnaires and field procedures. In particular, CIs should be covered annually through SUSENAS as planned in 1979 and through an industrial census as done in 1974/1975, only every five years or so, mainly because the reporting unit (a household) may be engaged in multi-sectoral productive activities instead of almost exclusively in manufacturing. SIs should be annually covered through a sample survey. MLIs should have a shorter ques- tionnaire for their annual survey to reflect a more realistic balance between data collection and statistical analysis./1 In general, the detailed inquiry may be conducted only once every three to five years. Periodically, however, a special sample survey should be conducted to collect information on characteristics whose measurement is more problematic than those covered /1 For instance, the size of the questionnaire (now having about 500 data elements) can be drastically reduced if the main objective of the survey is to provide annual data on broad economic characteristics such as employment, wages and salaries, investment, value added, gross output. The itemized detailed information on employment, inputs, output, etc. is seldom used except for constructing an input-output table or conducting a special study, none being annual. - 33 - ANNEX II Page 15 in a routine annual survey./l Further, as a practical approach to maximize effectiveness of limited resources that can be allocated for improving manu- facturing statistics, one should take advantage of the regional concentration in manufacturing activity as well as of the sophisticated sampling proce- dures./2 26. The recent reorganization of the Department of Industry should be conducive to a thorough evaluation of its role in improving the manufacturing data base. The Department recognizes that a pragmatic and professional approach to the statistical information system will be essential to meet most effectively the new challenges it faces as Indonesia's industrial base becomes more and more sophisticated over time. The industrial policy makers, more than ever before, need the statistical information distilled through rigorous data evaluation and sound economic analysis. Perhaps the best the Depart- ment can do in this area is to concentrate on this vital area of work which seems to be a neglected link to date between generation of abundant basic data and its limited use *by the policy makers. In order to fully digest the implications of thousands of numbers produced periodically and to feed back effectively to correct any deviation from expected path and incorporate further improvements, the policy makers need a strong support from a core of economic and data analysts. The statistical information, even if it is abundantly available in an improved form as suggested above, will not, by itself, be of much use to policy makers unless the Department simultaneously intensifies its input into quantitative analytical studies. It is, there- fore, anticipated that the new Planning and Statistics and the Policy Planning Bureaus will assign high priority to strengthen its analytical capabilities. 27. The Department should discontinue periodic collection of routine basic statistics, which can be done more effectively by BPS as suggested above./3 Moreover, BPS as a statistical agency that guarantees complete /1 For instance, knowledge regarding the size of installed capacity, the extent of its utilization, the causes and consequences of underutiliza- tion in manufacturing establishments should assist the government in monitoring the effectiveness of its investment policies. Such a study cannot be meaningfully conducted without participation of a specialized, well-trained and experienced staff. /2 For instance, every periodic survey (and more so special studies) may not be conducted in every province, and overlapping samples may be used in every two consecutive rounds of a survey. /3 This suggestion should apply to almost all periodic collections. If BPS is currently not collecting information that is periodically needed by the Department, BPS will be expected to take all necessary steps in accor- dance with the directions to be issued by the suggested Steering Group. - 34 - ANNEX II Page 16 confidentiality of data to all reporting units and is perceived to maintain credibility among them, should be in a better position than any administra- tive functional department to have access to "correct information." Mis- reporting or distortions in statistical information cannot be completely eliminated. But their seriousness and extent can be reduced by adopting appropriate measures including an effective use of a non-administrative official agency. It is then clear that BPS should not be expected, under any circumstances, to divulge information in a way that an individual reporting unit can be identified. For the sake of preserving the confi- dentiality of BPS data and for some other reasons, the Department may collect basic manufacturing statistics which is of special operational interest to it. For instance, while monitoring the implementation of financial and technical assistance programs, it may like to have inform- ation not only at district or sub-district level but also at establishment level, with full identification. It may require statistical information for some urgent policy considerations (say, arising from a new monetary policy) at such a short notice that BPS cannot deliver it in time (such instances, of course, are not always avoidable). 28. It is apparent that the planning and budgetary implications of the abovementioned suggestions will have to be worked out in detail. At this stage, nonetheless, some points are mentioned to abet serious thinking, expedite action and ensure effective implementation of urgently needed improvements in manufacturing data base. For instance, intensive training of field staff will require personnel for training, who, in turn will re- quire considerable time for planning, designing and other necessary prepa- ration; field staff may need motor vehicles and also telephones, because of the larger geographical coverage and possibly follow up visits to a report- ing unit; pilot studies may be necessary for almost all special studies, and each study will require adequate staff support even if it may be contracted to a university; new demands will be created on the data processing faci- lities, not only for processing basic data but also for editing and analysis; better planning and coordination may be necessary to ascertain that different stages of the information system, from planning of a survey to designing the questionnaire, to analysis of the data, are well integrated; establishing a core of sound economic and data analysts requires considerable lead time and these analysts, in turn, need well-trained supporting staff. ANNEX III INDONESIA COTTAGE AND SMALL INDUSTRY IN THE NATIONAL ECONOMY Research and Development (R&D) Institutes of the Department of Industry Table of Contents Page No. Introduction .... . . . . . . . . .. .... . . . . . . . . 1 Principal Activities and Clients ... . . . . . . .. . 3 Organization and StafEing ... . . . . . . . .. . 4 Promotional Measures .... . . . . . . . . . . . . . . . . . . 4 Budgetary and Financial Problems ... . . . . . . . . . . ... 5 Foreign Aid and Technical Assistance Requirements . . . . . . . 6 Industrial Research Iastitute (Jakarta) . . . . . . . . . . . . 6 Chemical Research Institute (Semarang) . . . . . . . . . . . . . 7 Leather Research Institute (Jogjakarta). . . . . . . . . . . . . 8 Batik and Handicraft Institute (Jogjakarta) . . . . . . . . . . 9 Cellulose Research Institute (Bandung) . . . . . . . . . . . . . 10 Metal Industries Development Center (Bandung) . . . . . . . . . 11 Chemical Research Institute (Medan). . . . . . . . .. . 12 Chemical Research Institute (Surabaya) . . . . . . . . . . 12 Chemical Research Institute (Bogor) . . . . . . . . . . . . . . 12 Chemical Research Institute (Banjarbaru) ... . . . . . . . . . 13 Materials Testing Institute (Bandung) . . . . . .. . . . 13 - 35 - ANNEX III Page 1 RESEARCH AND DEVELOPMENT (R & D) INSTITUTES OF THE DEPARTMENT OF INDUSTRY A. Introduction 1. The Department of Industry (DOI) controls and finances 14 R & D institutes consisting of 7 major industrial research institutes (Batik and Handicraft, Ceramics, Chemicals, Leathers, Materials, Pulp and Paper, Textiles), and 6 smal:l regional ones, mostly chemical research institutes engaged in testing, quality control, and advisory services. In addition, an annually funded project (the Metal Industries Development Center in Bandung) also comes under the control and budget of the DOI./1 2. The recent establishment of a Directorate General of Planning and Development in the DO]: is one more effort at the departmental level to coordinate and synchronize activities of the 14 institutes under DOI's jurisdiction. Apart from sharing a common source of funding, these 14 institutes operate more or less independently of one another and too often are isolated from the main industrial extension activities. And yet, as noted in Volume I of t:his report, present industrial extension services have to rely on the technical support of these institutes. Only since 1974, when BIPIK was established, did some of these institutes begin to recognize their role in industrial development, i.e. to develop and transfer appropriate technology. As the notes below indicate, the majority of these industrial a R&D institutes are sti'll developing their industrial extension services and on the whole have not yet succeeded in developing the technology suitable for local and small industry. Closer coordination of activities is a first step towards a better focussed and more effective technological help to small industry. 3. To promote coordination of institutes, however, it is necessary to assess their essential functions, organizational capability, relative strengths and weaknesses. Since a mission of four weeks cannot fully and fairly evaluate each institute individually or as a whole, the following notes only highlight the type of functions performed and problems faced by these institutes. To obtain data for this preliminary assessment, a fairly compre- hensive questionnaire was sent to all 14 institutes and other field extension service agencies under DOI. Nearly all (11 out of 14) R & D institutes sent in replies with supporting documents (annual reports, brochures, pamphlets) describing in some detail their main activities over the last three years. In /1 There are over 100 technological institutes throughout the country employing nearly 2,O00 staff. Although located in various regions many institutes have identical and overlapping functions. The Indonesian Institute of Science (LIPI) was therefore established to coordinate activities of the various R & D institutes in the field of science and technology at the national and regional levels. Such coordination effort has, however, not diminished the duplication of efforts characteristic of the various institutes, due to a complex set of organizational, policy, budgetary and other factors which are beyond the scope of this annex. ANNEX i Ii Page 2 INDONESIm Selected Characteristics of Eleven (11) Research and Development Institutes I/ 1 2 3 4 5 6 7 8 9 10 i. Types of Services Provided (1) a' a) Labor-tory TeatliS/PIlot pl-nts 50 40 62 10 40 20 70 60 60 63 50 b) Research 30 20 25 10 40 20 20 20 20 32 20 c) Industrial extension Services/Tr-aining 20 40 13 80 20 60 10 20 20 5 30 11. Clients Served a) Government Ageocles/ltate Enterpri.e. 70 60 5 5 50 10 65 60 15 40 70 b) Private Egterprisee 30 40 95 95 50. 90 35 40 85 60 30 III. Total Staffing (no. of workers) 101 57 206 108 246 169 23 14 112 29 134 a) college gr-duates 13 21 n.a. 6 29 52 11 8 21 4 27 b) High School and below 88 36 n..A 102 217 117 12 6 91 25 107 c) Trained extension wrkers n.a7 5 0 0 25 0 2 0 1 0 iV. Promotional Measures (Yes/No) a) Printed media (pamphlets, brochures, journ-1.) Yes Yen No No Y.e Yes Yes Yes Yes Yea No b) Lectures, eminars, exhibito No yes - Yes Yes Yes Yes Yes Yer Yea Ye. Ven c) Plant vLaLts Ye. Yes Yes Yea yes yes Yes Yes Yes Yao YeT V. Source of Funds eod Earnings (Rp million) 1976/77 197817S 1978/79 1977/78 1977/78 1977/78 n.a. 1977/78 1977/78 1977/78 1977178 a) Covernment udgect 46.1 94.3 380.0 15.0 225.0 319.8 ne . 103.6 117.5 40~7 8i b) Self-generated U.S. 3.0 53.0 43.5 30.0 - na. 25.0 20.0 1.2 n.e. Sub-total 46.1 97.3 433.1 58.5 255.0 319.8 n.a. 128.6 137 5 42.0 240.0 c) Returned to Treasury n.a. 1.3 10.2 .S. n. A. - n.a. n.-. n..a 0.2 n..- VI, Foreign Aid Received (Yes/No) Yes no No No yes yes No No Ye. No Yes VlI. Regular Subacriptione to Scientific Journals (Yes/No) No No No No No Yes No No Ye$ No No VIII. Renking ,f Kain Problems a) Budgetary/slaries 2 3 3 2 2 2 3 1 1 2 2 b) Inadequate st5ffi0g 1 2 1 3 3 3 1 2 2 1 1 c) Lck of modern technology 4 4 2 5 4 5 5 5 4 4 4 d) Lack of adequate equipment 3 1 4 4 5 4 4 1 5 1 3 e) other (organfeational nolicy, et.) 5 5 5 1 1 1 b/ 2 4 3 5 5 1/ souce- Date based on replIes to the mission's Questionnaire. */ Mission's estimate based on budget, manpower end otber operstionhl dat b/ Relates to ditfticulties encountered by field extension workers. e.g. lad of access to investmut credit, policy disincentives, resistance of entrepr-eners to change traditional production methods, tc. - 36 - ANNEX III page 3 the table below, the highlights of these replies are presented to show the salient characteristics of these institutes. Through these replies it is hoped that the beginnings of a more profound assessment of R&D institutes could be made as part of the government's drive to improve the technological assistance to the CSI sector. This assessment should also evaluate the progress made by these institutes in identifying and developing Technology that is appropriate to local conditions. B. Principal Activities and Clients 4. The majority of respondents to the Questionnaire (7 out of 11) indicated that at leaEst 50% of their activities is involved with laboratory testing of various industrial raw materials and finished products. Food, beverages, chemicals, and other agricultural products account for over 70% of products tested. This is said to be a legally required function in line with one of the original aims of R & D institutes, namely, to provide laboratory testing services to industries and government agencies in charge of testing products sold in the market either for licensing purposes or consumer protection. As a result, the majority of clients served by 6 of the institutes are government agencies, principally the DOI, Department of Trade, Local Governments, Departments of Agriculture, Public Works and the Armed Forces. Largescale state-owned enterprises engaged in productioni of cement, fertilizer, textiles, oil products, and minerals are also frequent clients of R & D institutes and t:hus avail themselves of the low-cost testing services offered by these institutes. 5. The technological needs of the private sector, particularly CSI, therefore have not been the main concern of many institutes. This is due in part to the reasons mentioned above, but due also to the structural changes in demand for improved technology in recent years. Since the enactment of the Foreign (1967) and Domestic (1968) Investment Incentives Acts, Indonesia was able to attract industrial investors from abroad who brought with them modern technology and quite often foreign technicians, who had no need for the often antiquated laboratory techniques and services offered at government-owned institutes. Similarly, the medium and large industries founded by domestic investors tended to rely also on foreign equipment and technology in order to compete with foreign owned companies. This left only the much smaller (in investment and output terms) CSI sector which lacks access to foreign capital and technology to the care of local R & D institutes. While it is this smallscale sector that is in greatest need of technical assistance, most institutes have continued to cater to the needs of all sizes of industries which were expected to bring their problems to the institutes. Industrial extension for many institutes represents only 5-20% of their activities, and as a result, only a small number of small-scale producers are reached. - 37 - ANNEX III Page 4 C. Organization and Staffing 6. The organizational structure of R & D institutes is governed by legal decrees which set out their functions, staffing, and funding from the budget. Technical and non-technical permanent staff are classified as civil servants subject to civil service salaries and tenure. Since civil service salary scales ranging from Rp 25,000 to Rp 100,000 (US$40 to 160) per month are below what the private sector offers to technical graduates, R & D institutes have not been able to attract and retain good quality staff. Only about 200 of the 1200 staff of the institutes under DOI have college degrees of which less than 50% are in areas directly related to science and technology. Thus institutes have many civil servants and other employees whose qualifications are not strictly relevant for research and development. This two-fold problem of staffing has severely impaired the efficiency of many institutes. In the mission's judgement a part of the staff may be trained for field extension work. 7. About half of the institutes surveyed consider the staffing problem mentioned as directly correlated with the budgetary problems encountered. All institutes think that if they were allowed to generate and retain more income of their own - through fees, consultancy and extension work - this problem would be less serious. The mission, however, believes that the failure of institutes to attract good quality personnel has not been due solely to the low salaries involved, but the failure of the institutes to create a proper environment for scientists and technicians in which they could enhance their skills and advance their careers. This involves not only providing competitive salaries but the creation of a system of incentives, consisting of appropriate financial and nonfinancial rewards, as well as strategic equipment and documents. Similar to the incentives being proposed elsewhere in this report for industrial extension workers, scientists in these institutes should also be offered a career development plan which should include rotation, say, from the regional office to the center, advanced training or post graduate study overseas, official recognition (and monetary reward) for outstanding research or extension work and the like. With these additional inducements more fresh college graduates from the local technical and engineering universities may be attracted to these institutes. Such incentives will involve not only additional costs (which must be compared with the expected benefits) but also substantial revisions of the conditions of employment. Both issues need to be studied further. D. Promotional Measures /1 8. Nearly all institutes use the media - press, radio and TV - in various degrees as their principal promotional channel. In addition, most institutes provide regular training courses to entrepreneurs (existing and prospective ones) in institute premises. Plant visits are sporadic and made _1 'Promotional' measures in this context refer to the dissemination and effective transfer of technical know-how developed by the institutes to industry. Specifically, it relates to their industrial extension services activities, particularly to the CSI sector. - 38 - ANNEX III Page 5 only when requested by other government agencies to investigate plant facilities, processes, or product quality for possible infractions. There are, however, some exceptions (e.g. the MIDC, the Leather Institute) of institutes that conduct regular visits to enterprises for the purpose of extending assistance, but these too have limited impact due to the shortage of trained extension workers and travel funds. For instance only 5 out of 11 institutes surveyed had any trained extension workers among their staff. Many of the institutes, moreover, felt that technical extension work and field visits are the primary responsibility of BIPIK. 9. Since small--scale industries are located in scattered areas, sometimes in small groupings or "clusters", there is a limit or threshold beyond which promotion of technological information or guidance would be fruitless. Therefore., actual extension visits and follow-up should be selective and concentrated on the more promising enterprises that could "absorb" the advice gLven. For the majority of enterprises, wider distribu- tion of brochures and pamphlets, presented in simple language and graphics, would probably suffice bearing in mind the generally low cognitive skills of many small entrepreneurs. Budget funds should be allocated for this purpose. Less than 5% of the budget of institutes to date is devoted to the dissemina- tion of scientific inEormation through the media. Similarly, hardly any fund are allocated to buy regular subscriptions to foreign scientific journals some of whose articles may be adopted to local use and translated for wider circulation. As the table illustrates, only 2 of the institutes surveyed had any regular subscription to such journals. E. Budgetary and Financial Problems 10. The budgetary problem faced by the R & D institutes seems to be not so much the lack of funds but the difficulty of withdrawing approved budget funds from the Treasury. For current expenditures such as staff salaries and materials, the budgets allocated seem to be on the whole adequate. For development purposes, there may be shortages of funds sometimes, but most of the institutes, due to poor staffing and lack of clear work programs, also have a limited capacity to formulate and implement development projects. Besides, the majority of institutes feel that they possess sufficient equip- ment and technological know-how for the type of demands made on them, and therefore see the need for modernization and expansion as of low priority. (See Table in this Annex, which indicates that lack of equipment and tech- nology is ranked low in the list of problem areas.) The mission tends to agree with this judgment, but would prefer to leave this issue to the judgment of technical experts after a more indepth study. 11. A common feeling shared by all institutes in relation to the budgetary problem is the need to review or revise the present ruling that net earnings should be returned to the Treasury. This is a well-justified rule, inasmuch as nearly 100% of the funding of institutes comes from the Treasury. On the other hand, there are a few institutes that could reap additional benefits (e.g. hire better qualified staff, expand promotional - 39 - ANNEX III Page 6 efforts, improve facilities, etc.) if allowed to retain mos, or Lil of their self-generated incomes. In any case, a review of this regulation to adapt it to changing demand for technical services is necessary, since this provision seems to be depriving several institutes of opportunities to expand their activities. One possibility that must be avoided is that institutes do not become too commercialized and serve only the needs of full-paying clients or become full-fledged consulting companies when they are allowed to keep all their own earnings. F. Foreign Aid and Technical Assistance Requirement 12. Relatively small amounts of foreign technical and financial aid has so far been channelled to R & D institutes. Aid donors have not channeled as much resources into R & D institutes as they have in other agencies. The most significant - and visibly effective - foreign aid given so far has come from the Belgian Government to the MIDC, amounting to a total of $3.25 mil- lion. The bulk of this assistance is in the form of technical consultants who helped build up the technical capabilities of MIDC and its staff in developing the local metal industries. The other 4 recipients of foreign aid received less than $1.0 million each to date, in the form of laboratory and production equipment for demonstration purposes. The greatest need that foreign donors could meet is in the field of technical assistance., princi- pally expert advice in raw materials processing, intermediate technology suitable to local skills levels, and overseas training. Establishment and maintenance of scientific libraries for use initially by scientists and students, later on by entrepreneurs, would also be useful. Regular corres- pondence or linkages with international sources of scientific information such as TECHNONET of Asia and ISO (International Standards Organization) could also expand the institutes' sources of current technical know-how. Structured overseas training and study tours, financed partly and arranged by host countries would also help upgrade the quality of staff. Such tours should be in more developed and in other Asian countries with similar industrial structures as Indonesia. 13. In the following sections a description of some of the R & D institutes is presented, showing their main functions and the type of technical assistance that they provide to the CSI sector. (a) Industrial Research Institute (Jakarta) 14. The Industrial Research Institute (IRI) was established to provide technological support to manufacturing industries throughout the country, conduct research on industrial products, design, and processes, as well as provide product standards. About 80% of IRI's activities at present consist of product testing, mostly of an obligatory nature requested by other government agencies responsible for licensing and for consumer protection. Over half (52 %) of products tested are samples of beverages sent from the market by government agents to ensure compliance with quality standards; 26% are other food products, 13% soaps, detergents and cosmetics, and the balance represents testing of products voluntarily sent in by entrepreneurs. - 40 - ANNEX III Page 7 IRI operates a microbiological laboratory and a diesel engine workshop used for regular 12 month courses on diesel mechanics. It trains an average of 28 persons a year. Due to lagging demand for its services IRI's laboratory and other facilities appear underutilized (several pieces of new equipment still remain to be installed). 15. IRI industrial extension services which represent about 28% of its present activities are handicapped by lack of active promotion and trained staff. Promotional measures consist of a limited number of brochures and pamphlets distributed to other government agencies, sporadic plant visits and lectures to entrepreneurs. IRI also publishes a Research Bulletin quarterly but has only limited circulation. In 1976/77 short-term courses were offered in the regions to entrepreneurs engaged in food technology, wood processing and handicrafts by IRI staff. Most of IRI's staff of 101 workers are nontechnical personnel (only 13 have degrees in science), but efforts are being made to send 2-3 staff for overseas training yearly. Over 55% of IRI's budget is absorbed by staff salaries and administrative expenditures, leaving little else to Einance extension services work. IRI is just beginning to work more closely with BIPIK, but lack of trained technical extension workers among its staff will prevent IRI from expanding present technical support to BIPIK. The small number of CSI in the Jakarta metropolitan area will also continue to be a factor adversely affecting the demand for IRI's services. (b) Chemical Research Institute (Semarang) 16. The Chemical Research Institute of Semarang (CRIS) serves the whole Central Java Region including Jogjakarta, where there is a heavy concentration of small industries. Properly developed it could thus provide a great service in assisting a significant number of CSI in technical matters. The rapid growth of the number of CSI in the region has also accelerated the demand for CRIS' technological services over the last three years, resulting in a 20% increase in the number of products tested to 1,911 in 1978 over 1977 or more than double the figure for 1976. About 40% of products tested were essential oil products destined for overseas markets and 60% were manufactured products food, beverages, medicines - that were sent in for testing and quality determination by entrepreneurs. Applied research in response to local demand is also conducted for instance in 1978 on shrimp processing, wine making, cashew nuts and perfume essences. CRIS' industrial extension activities take up roughly about 40% of its manpower time and 20% of its total budget (Rp 94 million in 1978/79). However, out of its total staff of 57 only 7 are trained extension workers, and only 29 have any college background. CRIS augments its staff by hiring local experts to help in its extension work. In plant consultancy by CRIS costs Rp 500-Rp 1,500 per case, a very low fee compared to going commercial rates. With the rise in demand for consulting services, self-generated earnings (most of which have to be returned to the Treasury) have also risen sharply from Rp 3.2 million in 1976 to Rp 6.6 million in 1978. - 41 - ANNEX III Page 8 17. CRIS appears to have the capability of handling an expanded industrial extension program and is suitably located close to the site of many small industries that could benefit from its services. While its testing and laboratory facilities are adequate for the present, a larger number of extension workers, say an additional 15-20 who could devote full-time to plant visits and consultations, plus additional vehicles to increase staff mobility throughout the region appear to be needed immediately. Financing these investments may be partly solved by allowing CRIS to retain some of its earnings for this purpose. Staff upgrading through overseas training in extension work may also ease present difficulties of hiring and keeping good quality personnel. (c) Leather Research Institute (Joglakarta) 18. The Leather Research Institute (LRI) was established in 1936 to help develop the then budding leather industry. Located in Central Java, close to leather goods manufacturers and tanneries, LRI assists small, medium and large industries in leather processing, tanning, quality control and production. Its facilities include a laboratory for testing leather quality, chemicals, and water used for tanning, a variety of machinery for leather processing used for demonstration, a prototype cobbler shop and training equipment. The institute also provides consultancy services at Rp 2,500 (US$4) per man-day for large enterprises and charges only material costs for technical assistance given to smaller enterprises. In addition it receives small orders for leather shoe manufacturing and supplies processed leather to other manufacturers. Its biggest customer is the Armed Forces whose orders average about Rp 50 million a year. 19. Despite LRI's inability to hire and retain good quality staff, because it cannot offer salaries higher than the civil service, it seems to be overstaffed for the type of services that it performs. There are presently (1978/79) 214 staff including 30 non-civil service casual workers. LRI is organized into 5 departments as follows: Research (30 permanent and 7 casual staff), Technology (72 and 5), Industrial and Economic Development (9 and 6), Extension Services (5 and 6), and General Administration (68 and 6). Civil service employees of LRI receive salaries ranging from Rp 8,600 to Rp 126,000 a month, and as a result most of them hold second jobs to supplement income. 20. The institute's extension services have been limited by a number of factors, most of them beyond its control. It lacks a sufficient number of trained extension workers who could travel outside of Jogyakarta to visit other regions where leather goods manufacturers are located. In 1978 for instance only 24 staff members or about 10% of staff resources could be devoted to this important task. LRI, however, has been collaborating more closely with BIPIK over the past few years. Domestic supply of hides currently meets only 50-60% of existing manufacturing and tanning capacity and what is available locally is usually of poor quality. The 100,000 heads of cattle imported by the Government with intention of improving quality of - 42 - ANNEX III Page 9 hides through cross-breeding have not yet shown any material impact. This raw material shortage seriously impairs both the volume and quality of leather that the industry, and LRI, could process. Besides it is reported that government protective measures and other regulations do not favor local labor-intensive manufacturing. Consequently LRI's impact to date has been limited to a relatively small proportion of the industry. As of 1978 LRI has extended technical assistance to 18 leather tanneries in Java and South Sumatra, 58 shoe factories in Java, and 17 leather goods "clusters" in Java, Lombok and Ujung Pandang. 21. LRI's budgetary problems stem mainly from its inability to keep its own earnings for investment purposes and to a lesser extent from the rigid disbursement procedures affecting the government budget. Over 80% of its annual income of sabout Rp 400 million is from the Central Government and its own earnings amounted to Rp 90 million or 20% of total revenues in 1978. However, this latter amount barely covers cost and whatever extra profits are realized are returned to the Treasury in accordance with govern- ment regulations. 22. Due to the quality of present staff, organizational problems, and the supply shortages encountered by the leather industry which are not likely to be eased in the immediate future, it is not certain to what extent LRI could expand its extension services activities effectively if it were allowed to retain its own earnings. Allowing it to do so now might also shift its focus to the full-paying clients at the expense of the smaller firms who could not afford to pay consultancy fees. On the other hand, if the institute were able to finance some of its capital investments, such as machinery for demonstration purposes to small industries, it could also substantially improve its extension work. This issue needs to be examined further, but such an examination need not postpone essential reform. LRI immediately needs more modern equipment (e.g. sewing machines, presses, shaving, ironing, and rolling equipment) as well as technical assistance to upgrade its extension services to CSI. D. Batik and Handicraft Institute (Jogjakarta) 23. Handicrafts in Indonesia are defined as "artifacts made of wood, copper, silver, rattan, bamboo, and natural fibers, plus the original area, batik." Thus the two main sections of the Batik and Handicraft Institute (BHI) were established in 1950 and 1972 respectively to help develop this particular industry. To this end BHI provides training, raw materials, designs, and technical advice to handicraft manufacturers throughout the country, principally to batik manufacturers. BHI has 108 staff, consisting of 86 workers for batik industries and 22 for handicrafts. Six (6) of the staff have college degrees. The Batik Center provides training to about 1,800 batik makers annually, who are members of the Batik Producers Cooperative of Indonesia. This is BHI's most successful venture, since the batik making industry is spread natonwide and is dominated by cottage and small-scale industries. Private persons may also' take courses at the - 43 - ANNEX III Page 10 Institute for Rp 6,000 for a 3-month course or Rp 25,000 for the full course. The handicraft section is however, less known, largely because of lack of promotion and in part because it simply does not respond to the needs of handicraft industries. It has a number of motorized lathes that are perenially underutilized and other power tools that are clearly not suitable to the majority of handicraft manufacturers. 24. While a major limitation of BHI is the shortage of trained ex- tension workers (it has only recently begun working with BIPIK field workers) more basic problems have been inhibiting the institute from expanding its operations. The Management is not sure of the Batik center's role or its future and what the Government expects from it. It seems to be torn between the technical assistance demands from the Batik makers throughout Java and other islands and government pressure to cater to a wider clientele. Mean- while, management has repeatedly requested (to no avail) for increased budget funds to hire and train more extension workers. It is at present "marking time" doing its regular training in-house and selling batik and other handicrafts to tourists. BHI has become just another tourist attraction where visitors can watch the process of batik making. E. Cellulose Research Institute (Bandung) 25. The Cellulose Research Institute (CRI) conducts R&D activities in connection with the development of the pulp and paper industry in Indonesia. It caters principally to the needs of 5 state-owned and a few private pulp and paper companies to which it provides laboratory testing services for a fee. Consulting fees range from Rp 500 to Rp 1,000 per hour, depending on the seniority of consultants assigned. CRI has a total staff of 246 workers, of whom 18 are senior technicians (one PhD in Polymer Science) and 11 are junior level technicians. The rest of the staff are nontechnical personnel who, like their technical counterparts, are also civil service employees. CRI also conducts regular training courses on laboratory techniques and raw material (pulp, bagasse, sawdust) preparation. As the paper industry is basically a large scale one, CRI's role in the development of the small-scale sector has been relatively minor. 26. The demand for CRI's laboratory and consulting services appears to have been going down over the last several years as shown by the sharp decline in its self-earned revenues from Rp 75.0 million in 1975/76 to Rp 31 million in 1976 and Rp 30 million in 1977/78. Consequently CRI has had to rely more heavily on government funding which had to be increased proportion- ately. Since this drop in demand seems to reflect fundamental supply/demand factors affecting the lagging paper industry, the question of CRI's future role must be resolved before any assistance is given to the institute. This issue should be explored not only with the Department of Industry, but also with the 5 state-owned pulp and paper mills which are the principal clients. - 44 - ANNEX III Page 11 F. Metal Industries Developent Center - MIDC (Bandung) 27. MIDC is an example of a successful R&D institute both in terms of its effectiveness in carrying out its specific role in the framework of overall industrial development and in terms of its effective use of foreign technical assistance. Its management and work organization could thus be used as models for similar R&D institutes in their future expansion plans. (Organizationally, MIDC is still an annually-funded project, but a more permanent status is under consideration.) 28. MIDC has 169 staff working out of its main plant in Bandung and serving the needs of the metal industry throughout Indonesia. Among the staff are 12 graduate engineers and 40 technical specialists as well as 30 staff who had received training in Belgium for periods of 4 to 8 months. Since its establishment in 1970 (it became operational in 1974), MIDC has been the beneficiary of Belgian and German bilateral technical assistance and UNIDO/UNDP multilateral assistance. A total of 19 technical experts from these countries and institutions have worked in MIDC between 1974-78. Total aid received to date including technical assistance amounted to the equivalent of US$3.25 million. 29. The general objective of MIDC is to help develop the metal industry by improving production technology, specifically through upgrading of local predominantly traditional skills. For this purpose, MIDC provides technical assistance to firms and entrepreneurs on general and production management, product design, welding, machining, heat treatment, metal forming and forging, quality control, repair and maintenance. It is organized into 3 divisions to fulfill these tasks: the Technological Development division, Industrial Development division and General Services. Assistance to metal industries is given in-house through training courses, seminars, in plant visits, and through brochures and publications. MIDC appears to be well-equipped and has learned to fully use the machinery it has installed in its premises. 30. Nearly 50% of MIDC's technical staff are available and capable of doing extension services in the field, but even this is not sufficient due to the large number and scattered locations of metal industries and foundries throughout the country. Consequently, only about 5% of MIDC's budget had been absorbed by industrial extension services. Most technical problems brought to MIDC's attention are still solved in MIDC premises although processes may be examined in the field. Training courses for small entre- preneurs, such as welding, metal fabrication and forging are also conducted in the MIDC so that this limits attendance to these courses. There is a need to expand MIDC's capabilities - and manpower resources - to extend technical assistance in the field. Training of new extension officers who could work closely with BIPIK in extension services and development centers is immediately needed. Use of mobile units to transport heavy equipment and machinery may also be considered, although the use of such mobile units for training purposes has not been successful in the past due to frequent breakdowns and lack of needed spare parts for the vehicles and machinery. - 45 - ANNEX III Page 12 G. Chemical Research Institute (Medan) (CRIM) 31. This institute is like the other regional chemical R&D institutes established in the regions to conduct basic laboratory testing and research. CRIM has 23 staff organized into two divisions reflecting the two main functions of the institute mentioned. Since the main emphasis is on chemical analysis and testing, 10 staff members are assigned to this task. Its principal technical assistance to CSI's also consist of quality testing of raw materials and finished products and advice on how to improve the same, from a technological standpoint. However, CRIM reports that its extension services are severely limited by the lack of trained extension officers among its staff, and hence it proposes to fill this gap in the future by sending some of its staff to the Indextrac courses conducted by TECHNONET of Singapore. H. Chemical Research Institute (Surabaya) 32. The industrial extension services of the institute extended to CSI has been of recent origin and consists of technical assistance to small producers of food, soy sauce, alcoholic and non-alcoholic beverages, cooking oil, vinegar and soap, located in East Java. With 14 staff to carry out both the institute's main task of product and material testing, requested by other government agencies and extension services in some 36 towns of East Java, the institute is clearly understaffed. The institute reportedly faces severe staffing problems due to limited budget and would like to hire some college graduates to do both laboratory and field extension work. It proposes to expand its extension work, provided adequate funding from the budget is available, by offering technical courses to CSI and setting up demonstration (pilot) processing plants for a number of important food products made locally. Its laboratory facilities are reported to be in poor condition and outdated. I. Chemical Research Institute (Bogor) 33. The Chemical Research Institute of Bogor (CRIB) is strategically located in West Java close to the main city of Jakarta and appears to be well managed by qualified technocrats. Its principal activities, due in part to its proximity to the main trading and business center of Jakarta, have concentrated on laboratory testing of essential oil exports, food, beverages and other industrial products, at the request mainly of private (mostly large) enterprises and traders. Its total staff of 112 workers include only 21 college graduates and 1 PhD (the director). While this is considered a major constraint to CRIB's technical assistance to small industries, its inability to retain its earned income from consultancy is reported to be a much more binding one, since it limits its capacity to purchase more modern equipment and/or replace existing ones. The Institute realizes that it needs to train future extension officers (presently none) not only in providing technical advice but also practical advice on management and financing. The Institute had a budget of Rp 117.5 million in 1978. It also received project aid of US$500,000 from UNIDO in 1978 to establish a processing laboratory and about US$200,000 in technical assistance from the UK. - 46 - ANNEX III Page 13 J. Chemical Research Institute (Banjarbaru, So. Kalimantan) 34. The institute was established in 1971 to provide chemical labora- tory testing and industrial extension to the whole province of South Kalimantan. With a total staff of 29, the institute is organized into three departments, General Services (15 staff), Laboratory Testing (9) and Extension Services (5). Only one of the staff has had any training on industrial exten- sion, and consequently this type of activity represents only a minor propor- tion of the work program. Four staff members were devoted to industrial extension services in 1978 which accounted for Rp 2.5 million or just over 3% of the budget. Laboratory testing and quality control services provided mostly to small entrepreneurs, however, constituted over 60% of the insti- tute's activity in that year. 35. The institut:e could with adequate staffing and budgetary and technical assistance support perform a key role in developing entrepreneurship in the province. South Kalimantan is rich in forestry resources, minerals and other agricultura:l products which could be developed either for direct exports as raw materials or processed locally. With the civil services salary scales and laclc of other amenities available in the province, the institute has been unable to attract good quality staff from Java and other islands. Hence, additional incentives may need to be given to the staff and new recruits to attract and retain them in this rather remote outpost. Upgrading existing technical staff (the majority of whom are technical high school graduates) should be done immediately, preferrably using the institute's own facilities. K. Materials Testing Institute (Bandung) 36. The Materials Testing Institute (MTI) provides a variety of services related to laboratory analyses and testing of raw materials chiefly chemicals, metals, minerals, and building materials that are used by local industries. Although it is designated differently from chemical research institutes, chemical analyses and testing constitute more than 35% of its activities, which are dominated by metallurgical testing (49%). Its staff of 134 workers (probably excessive in light of its operations) are organized into sections corresponding to the type of materials tested. Sixty-five (65) technicians work on materials testing and analysis. Requests for services come mainly from other government agencies, including state-owned industrial enterprises such as cement, fertilizer and chemicals. Services cover all of Indonesia. 37. MTI does not directly offer its services to small-scale industries nor does it have an industrial extension staff as such. However, information on materials and product quality and standards can be obtained from the institute for a nominal fee. MTI has difficulties hiring and retaining good quality staff. Its principal role, moreover, is uncertain since many of its functions overlap with those of other R&D institutes also located in the Bandung area - e.g. MIDC, Electric/Electronic Institute, and the National Institute for Instrumnentation. Vi ml-'- ~~~~~~~~~~~~~~~~~~~~~~BRD 12696 R3 -i'oS THAILAND Ar 1A iI5T 1i5oC lioY 130 I NS' 'Q FETRUEY 19 33BandA AceT 6t j _.J\ ... PHILIPPINES AIIA ,GruT l /5 PHILIPPI ADMINISTRATION AND POPULATION I | -: . 7 ChiZna Sea o BRUNEI , PROVINCIAL EDARIES '~~~~~~~~~ j- t / L....... ' 9 INTRNATONAL OUNCAPIE5 rM Aj Ij _ - /t F~ L AEY S I A T A A T ' ' _! %~~~~~, .I / 55 w - 4 *; * - < ' SR- i '... I -~ / I - T...W ' I. . 1 ,- fV , ).. 9:. ~ WEST SUAMAHERA PacificAL;:MHR O n I , c a 8 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~M 1.3 I-'- t O :2.SRECRA. .ERR:TORT ACEU .%: :, g.: . F- ) O ,,9g -A.MAMSAN .... dP .............................................l .- 2 '' A 5 I)IAN Java Sea Sea A JO- AT A K / 5 '. 1, ,,2 a11? 12F' ,2,+ ,20- ,35 %40 IN NCNTCALIODNTAN ~ ~ ~ ~ 4WATAo o a 5 L0 A_iTNLAN i~~~l :1,-AL T ..ITO- A ~ ~ ~ ~ ~ ~ 26 0 so* 1.- 0 oEPIA-L C=VN, . - . IA'A II-A0TACIAA0A(-- < I.I,I 131 . IR -ATHALACA - Im 00 TA - -AEA - - I -* A2.0 ADD . DD 5 000. 9 lAY - - I-O.EivlY A'ND'NN'D -47- STATISTICAL TABLES Introduction Tables 0.1 to 16.2 are derived essentially from 25 volumes of the Industrial Census 1974/75 publication. All these tables except the first two (0.1 and 0.2) present the data by the scale of operation or segments (CIs, SIs and MIIs). The first two tables relate exclusively to CIs; the next three (0.3, 0.4 and 0.5) tables present a comparative picture emerging from Tables 1.1 to 6.2. Tables 1.1, 2.1, etc. present data by three-digit industry code and Tables 1.2, 2.2, etc present data by province. Tables 7 to 13 present data by i-ive-digit industry codes./I Tables 6.1 and 8 present % distribution for a characteristic in each manufacturing segment by industry. Table 6.2 presents similar distributions by province. Table 9 presents % distribution for a characteristic in each industry by the segment. Tables 10 to 13 present: data for a characteristic by five-digit industry code, and the list of codes along with the description is given in pages 93 and 94. Tables 14.01, 14.02 etc., present data for a province; Central Java, D.K.I. Jakarta and North Sumatra were selected for this purpose. Table 15 relates to manufacturing output and imports. Tables 16 to 20 present time- series data; all except: Tables 16.1 and 16.2 relate to manufacturing employ- ment. Tables 17 and 18 present the industrial survey data published by BPS, on the number of establishments and persons engaged in SMLIs by major industry group. Table 19 presents some of the data on SMLIs assembled by the Department of Industry for the Mission. Table 20 presents the employment data assembled throughthe labor force/employment surveys. Tables 21 is reproduced from a report of the International Development Center of Japan. Table 22 presents volume indexes and annual growth rates of selected indus- trial products. Tables 23 to 29 present data on the lending oerations of KIK and K4KP programs for assistance to the smal 1 scale industry. /1 Tables 7 to 9 also present data by two-digit Industry Codes. -48- INDONESIAN INDUSTRIAL CLASSIFICATION 311-312 FOOD MANUFACTURING 31249 Other soya bean products 32140 Carpet and rugs 31111 Slaughtering 31250 Krupuk, emping, kerak and 32150 Cordage and twine 31112 Processed and preserved meat other chips 32160 Capok 31121 Condensed and dried milk, 31260 Coffee, powder and fried preserved cream and butter 32190 Textiles,nec. 31122 Ice cream, ice lollies, etc. 31270 Seasoning 31280 Cattle food 322 WEARING APPAREL EXCEPT 31130 Canned and preserved fruits FOOTWEAR and vegetables 31290 Other food products 32210 Wearing apparel 31140 Cahned and preserved fish, caustacea, etc. 313 BEVERAGE INDUSTRIEZS 32290 Wearing apparel,nec. 31151 Coconut oil 31310 Alcoholic liquors 323 LEATHER AND LEATHER PRODUCTS (EXCEPT FOOTWEAR & WEARING 31152 Refined vegetable oils 31320 Wine APPAREL) 31159 Other vegetable and animal 31330 Malt liquors and malt 32310 Leather, tanned & finished oil and fat 31340 Soft drinks and carbonated 32330, Leather products 31161/ Cleaned and polished rice waters 31162 324 MANUFACTURE OF LEAT ER FOOTWEAR 31163 Peeled and cleaned coffee 314 TOBACCO MANUFACTURERS 32400 Footwear 31164 Wheat flour 31410 Dried and processed tobacco 331 WOOD & WOOD PRODUCTS, EXCEPT 31169 Other grain mill product 31420 Clove cigarettes FURNITURE 31171 Noodles, etc. 31430 Cigarettes 33111 Saw and wood mills 31179 Bakery products 31490 Other tobacco products 33112 Wooden building material 31181 Sugar (white, refined) 33113 Plywood 321 TEXTILES 31182 Sugar (brown, raw) 33120 Wooden boxes and containers 32111 Yarn and thread 31190 Chocolate and sugar confection- 33130 Bamboo, rattan, and willow eries 32112 Weaved products except jute pleats 31210 Tapioca, sagp, . cassava flour, 32113 Fabric - bleached, dyed, 33140 Handicraft & wood carving etc. printed and finished 33190 Wood, rattan and cork products 31220 Tea processed 32114 Batik 332 FURNITURE, FIXTURES. EXCEPT 31230 Ice 32120 Made up textile goods OF METAL except wearing apparel 31241 Soya sauce 33210 Furniture and fixtures 32130 Knitted products 31242 Tahu, tempe, oncom, etc. 33220 Furniture of bamboo, rattan, cane, reed willow, etc. -49- 341 PAPER * PhUE4 PRODUCTS 35322 Ramilled rubber 38113 Kitchen apparatus 34111 Paper 35523 Crumb rubber 38114 Metal other than aluminum 34112 Paper & fiber board, etc. 33590 Rubber products n.e.c. 38120 Metal furniture & fixtures 34120 Containers & boxes of paper 356 PLASTIC PRODUCTS 38130 Structural metal products * paper board 35600 Plastic wares 38140 Metal containers 34190 Pulp, paper A paper board articles 361 POTIERY CRINAS 382 MACHINERY EXCEPT ELECTRICAL EART BEMNARES 342 PRINTING 6 PUBLISHING 38200 Machinery, except electrical 36110 Ceramics and porcelain 34200 Printing & publishing 383 ELECTRICAL MACHINERY ETC. 36120 Earthenware 351 INDUSTRLAL CEZIICALS 38311 Storage batteries 36190 Art 6 ornamental potterqy, 35110 Basic ehmicals except stoneware, etc. 38312 Dry cell battery fertilizer 362 GLASS GLASS PRODUCTS 38320 Coaunication equip. & apparatus 35120 Fertilizer 36210 Glass 6 glass products 38330 Electrical apparatus & supplies 35130 Reeins, plastic mnterial and synthetic fiber 36220 Sheet glass 38340 Repair of electrical appliances 35140 mosquito incense coil 363 CEMENT, LDME & CEMENT 384 TRANSPORT EQUIPMENT PRODUCTS 352 OTMER CHEMICAL PRODUCTS 38411 Ship building and repairing 36310 Cement 36320 Cement products 38420 Railroad equipment 35210 Paint, varnisher, laquers 36330 Lime 38430 Motor vehicles 35221 Medicine except native med. 364 STRUCTURAL CLAY PRODUCTS 38440 Motorcycles & three-wheel motor 35222 Native medicine vehicles 36410 Bricks 35231 Soap, detergent & cleaning 38450 Bicycles & becas preparation 36420 Roofing tiles 38460 Motor vehicles body & components 35232 Matches 36490 Structural clay products 38490 Other transport equipment 35233 Perfumes, cosmetics, 6 369 OTHER NON-METALLIC MIMERAL other preparations PRODUCTS 385 MANUFACTURE OF SCIENTIFIC, MEASURING, OPTICAL AND PHOTO- 35290 Other chemical products 36900 Other nonmetallic mineral GRAPHIC EQUIPMENT not elsewhere classified products 38500 Manufacture of scientific, measuring, 353 PETROLEUM REZINERIES 371 IRON & STEEL BASIC INDUSTRIES optical and photographic equipment 35300 Petroleum refineries 37100 Basic iron and steel 390 OTHER MANUFACTURING INDUSTRIES 354 MISC. PRODUCTS OF PETROLEUM 372 BASIC NON-FERROUS METALS 39010 Jewelry AND COAL 37200 Basic non-ferroUS metals 39020 Musical instruments 35400 Misc. products of petroleum and coal 381 CUTLERY, HAND TOOLS AND 39030 Sporting & athletic goods GENERAL HARDWARE 355 RUBBER MANUFACTURES 39040 Toys 38111 Agricultural & hand tool equip. 35510 Tyree end tubes 39060 Stationery 38112 Cutlery, nails, screws, bolts, 35521 Smoked rubber etc. 39090 Industries n.e.c. -50.-. Table 0.1 INDONESIA OVERVI1W OF HOUSEHOLD AND COTTAGE INDUSTRY SECTOR BY RURAL URBAN-AREAS AND SEC, 1974/75 Rural Urban Total Unit Male Female Total Male Female Total Male Female Total No. of persons engaged th. 1,038.6 2,609.1 3,647.8 197.0 55.1 252.1 1,235.6 2,664.6 3,899.9 (Z) (28.5) (71.5) (100.0) (78.1) (-21.9) (100.0) (31.7) (68.3) (100.0) (2) (84.1) (97.9) (93.5) (15.9) (2.1) (6.5) (100.0) (100.0) (100.0) No. of man-days worked min. 195.1 203.2 398.3 19.8 11.4 31.2 214.9 214.6 429.5 (%) (49.0) (51.0) (100.0) (63.4) (36.6) (100.0) (50.0) (50.0) (100.0) (%) (90.8) (94.7) (92.7) (9.2) (5.3) (7.3) (100.0) (100.0) (100.0) - by full time (only) mln. 115.9 140.1 256.0 10.3 7.6 17.9 126.2 147.7 273.9 - by part time (only) mln. 107.9 115.9 223.7 3.8 4.8 8.6 111.6 120.7 232.4 No. of hired labor th.. 124.9 17.6 142.6 29.0 5.6 34.6 153.9 23.3 177.2 (%) (87.6) (12.4) (100.0) (83.9) (16.1) (100.0) (86.8) (13.2) (100.0) (%) (81.2) (76.2) (80.5) (18.8) (23.8) (19.5) (100.0) (100.0) (100.0) No. of days worked by iln. 26.1 4.3 30.4 7.6 1.4 9.0 33.7 5.8 177.2 hired labor (%) (87.6) (12.4) (100.0) (83.9) (16.1) (100.0) (86.8) (13.2) (100.0) (%) (81.2) (76.2) (80.5) (18.8) (23.8) (19.5) (100.0) (100.0) (100.0) Hired/all persons engaged (2) (12.0) (0.7) (3.9) (14.7) (10.2) (13.7) (12.5) (0.9) (4.5) Hired day/all days (2) (13.4) (2.1) (7.6) (38.2) (12.5) (28.8) (15.7) (2.7) (9.2) No. of day per person engaged no. 188 78 - 100 207 - 174 81 110 No. of days per hired labor no. 209 244 213 260 260 260 219 247 222 No. of establishments th. - - 1,163.0 - - 71.5 - - 1,234.5/a - reported th. - - 1,120.8 - - 68.4 - - 1,189.2 - in operation () - - (94.3) - - (5.7) - - (100.0) Gross output Rp. bln. - 160.9 - - 39.9 - - 200.8 Value added Rp. bln. - - 66.7 - - 15.8 - - 82.6 (2) - - (81.0) - - (19.0) - - (100. 0) /a Out of which only 97 thousand establishments hired labor. -51- Table 0.2 INDONESIA OVERVIEW OF HOUSEHOLD AND COTTAGE INDUSTRY SECTOR PER ESTABLISHMENT AND PERSONS ENGAGED. 1974/75 Per estab- Unit Total Unit lisment Unitle Total No. of establishments - all 000 1,234.5 - with hired labor 000 97.0 - - No. of persons engaged, all th. 3,899.9 No. 3.0 - household members th. 3,722.7 No. 3.0 - hired labor th. 177.2 No. 2.0 No. of man-days of participation mln. 542.6 No. 440.0 - by full-time miln. 273.9 No. 222.0 - by part-time mln. 232.4 No. 188.0 - nominal mln. 36.3 No. 30.0 No. of man-days worked by - by all participants mln. 429.4 No. 348.0/a No. - - by household members mln. 390.0 No. 316.0 No. - - by hired labor mln. 39.4 No. 407.0/b No. - Wages & salaries ELp bln. 10.0 No. 103.5 Rp.per day 255 Value added ltp. bln. 82.6 No. 66.9 Rp.per day 192/c Gross output Rlp. bln. 200.8 No. 162.7 Rp.per day 468 - goods produced lip. bln. 192.1 No. 155.6 Rp.per day 447 - services rendered lip. bln. 8.7 No. 7.1 Rp.per day 21 - rural ELp. bln. 160.9 No. 138.0 Rp.per day 404 - urbamn RLp. bln. 39.9 No. 558.0 Rp.per day 1,282 /a Rural 342, Urban 436. /b Relates to 97 thousand esitablishments with hired labor. If all household and cottage establishments are consiclered, then the national average is 32, consisting of 26 for rural and 126 for urban. /c Gross profit, estimated as value added minus wages and salaries, comes to only Rp. 186 per household person day., -52- Table 0.3 INDONESTA OVERVIEW OF MANUFACTURtNG SECTOR BY SCALE OF OPERATION, 1974/75 Absolute levels Index: All mfp. - 100 Unit CI Si MLI All CI SI MLI Total No. of establishments '000 1,234.5 48.2 7.1 1,289.8 95.0 3.7 0.5 No. of persons engaged '000 3,899.9 343.2 661.7 4,904.8 79.5 7.0 13.5 No. of man-days /a Mln 429.4 57.2 163.0 649.6 66.1 8.8 25.1 Wages and salaries Rp bln 10.0 16.3 93.3 119.6 8.4 13.6 78.0 Cost of input Rp bln 118 105 817 1,040 11.3 10.1 78.6 Gross output Rp bln 201 157 1,295 1,653 12.2 9.5 78.3 Value added Rp bln 83 53 477 613 13.5 8.6 77.8 No. of estab. using power No. - 341 4,308 4,649 - 7.3 92.7 No. of unpaid workers '000 3,722.7 74.2 5.9 3,802.8 97.9 2.0 0.2 No. of paid workers '000 177.2 269.0 655.8 1,102.0 16.1 24.4 59.5 Output: Goods produced Rp bln 192 145 1,265 1,602 12.0 9.1 79.0 Output: Services rendered Rp bln 9 12 30 51 17.6 23.5 58.8 Per Establishment No. of persons engaged No. 3 7 93 4 75 175 2,325 No. of man-days /a No. 348 1,186 22,990 504 69 235 4,562 Gross output Rp mln 0.16 3.3 182.5 1.3 13 255 1,424 Value added Rp aln 0.07 1.1 67.3 0.5 14 232 14,163 Per Person Employed/Engaged Wages and salaries per year Rp'000 57 61 142 109 52.3 56.0 130.3 Value added per. year Rp'OOO 21 155 721 125 17.0 123.7 577.1 Wages and salaries per day Rp 255 285 572 461 55.3 61.8 124.1 Value added per day Rp 193 928 2,926 944 20.4 98.3 310.0 Ratios Value added/gross output X 41.1 33.7 36.9 37.1 110.8 90.8 99.5 Goods produced/gross output X 95.7 92.0 97.6 96.9 98.8 94.9 100.7 /a Except for CI, relates to only paid employees; CIs have only 39.4 million man-days for paid employees. _53 Table 0.4 Page 1 INDONESIA TOP EIGHT INDUSTRY GROUPS IN HOUSEHOLD AND COTTAGE, SMA LL, MEDIUM AND LARGE SCALE INDUSTRY, 1974 No. of per- Labor pro- No. of esta- Wages & Industry group ranked by sons engaged ductivity Value added blishments salaries No. of persons engaged (% of total) (Rp'000/year) (% of total) (Z of total) (Rp/day) Household & Cottage Industry Wood & wood products 39.40 11.5 21.11 40.67 343 Food manufacturing 35.40 27.7 43.67 34.77 226 Textiles 10.23 12.5 5.93 10.48 146 Bricks, tiles & clay products 4.26 50.8 8.83 4.03 255 Furniture & fixtures 2.76 47.9 5.48 2.66 300 Other manufacturing 1.80 31.7 2.50 1.76 265 Pottery, china & earthernware 1.58 13.8 1.01 1.70 191 Fabricated metal products, except machinery 1.27 63.9 3.08 1.10 264 Total 96.70/a 21.17/b 91.61/a 97.17/a 255/b Small Scale Industry Food matnufacturing 41.93 172.0 46.69 46.82 266 Textiles 13.62 102.6 1.29 9.65 218 Bricks, tiles & clay products 8.22 64.5 3.43 8.60 224 Wood & wood products 7.45 177.7 8.57 6.69 373 Fabricated metal products, except nachinery 4.71 142.9 4.36 4.70 377 Cement, lime and products 4.70 148.8 4.53 4.72 307 Furniture & fixtures 4.69 151.9 4.62 4.63 371 Other manufacturing 1.60 130.9 1.36 1.47 308 Total 86.92/a 154.49/b 74.85/a 87.28/a 285/b Medium & Large Scale Industry Textiles 24.94 411.0 14.22 27.30 436 Food manufacturing 20.50 812.0 23.09 21.69 586 Tobacco manufactures 19.35 798.0 21.42 10.84 270 Rubber products 6.91 834.3 8.00 6.60 656 Other chemicals 3.67 678.1 3.45 3.22 1,084 Fabricated metal products, except machinery 3.22 572.2 2.55 3.37 742 Wood & wood products 2.88 595.1 2.38 4.54 782 Printing & publishing 2.22 435.1 1.34 3.23 636 Total 83.69/a 720.78/b 76.45/a 80.79/a 572/b Table 0.4 -54- Page 2 Labor No. of per- No. of esta- Wages & Industry grouo ranked productivity Value added sons engaged blishments salaries by labor productivity (Rp'000/year) (X of total) (X of total) (2 of total) (Rp/day) Household & Cottage Industry Footwear 131.6 0.70 0.15 0.12 405 Leather manufactures 97.7 0.36 0.11 0.08 236 Tobacco manufactures 93.2 1.26 0.38 0.27 469 Printing & publishing 88.8 0.33 0.11 0.09 230 Plastic products 79.7 0.53 0.17 0.15 259 Transport equipment 75.5 0.51 0.16 0.15 318 Cement, lime & products 73.8 1.26 0.49 0.37 286 Other chemicals 68.9 0.49 0.21 0.16 289 Total 21.17/b 5.44/a 1.78/a 1.39/a 255/b Small Scale Industry Electrical machinery, appliances, etc. 558.2 0.58 0.16 0.13 366 Industrial chemicals 418.5 0.86 0.32 0.25 311 Rubber products 308.6 2.41 1.21 0.94 292 Non-ferrous metal basic industries 272.4 0.01 0.01 0.008 377 Transport equipment 247.1 1.65 1.03 0.88 402 Other chemicals 239.8 1.92 1.24 1.04 382 Printing & publishing 219.5 3.07 0.22 1.66 360 Leather manufactures 213.0 0.47 0.34 0.32 298 Total 154.49/b 10.97/a 4.53/a 5.228/a 285/b Medium & Large Scale Industry Beverage industries 3,068.7 3.03 0.71 0.85 2,176 Non-ferrous metal basic industries 2,812.0 0.66 0.17 0.13 1,468 Transport equipment 1,550.4 4.75 2.21 1.58 1,470 Electrical machinery, appliances, etc. 1,319.0 3.37 1.84 0.93 1,156 Machinery, except electrical 1,263.3 1.94 1.10 0.96 866 Other manufacturing 1,257.0 2.21 1.27 0.92 1,587 Cement, lime & products 1,069.5 2.58 1.74 3.05 986 Industrial chemicals 1,050.0 0.99 0.68 0.93 895 Total 720.78/b 19.53/a 9.72/a 9.33/a 572/b -55- Table 0.4 Page 3 No. of per- Labor No. of esta- Wages & Industry group ranked Value added sons engaged Productivity blishments salaries by value added (% of total) (X of total) (Rp'OOO/year) (X of total) (Rp/day) Household & Cottage Industry Food manufacturing 43.67 35.40 27.7 34.77 226 Wood & wood products 21.11 39.40 11.5 40.67 343 Bricks, tiles & clay products 8.83 4.26 50.8 4.03 255 Textiles 5.93 10.23 12.5 10.48 146 Furniture & fixtures 5.48 2.76 47.9 2.66 300 Fabricated metal products, except machinery 3.08 1.27 63.9 1.10 264 Other manufacturing 2.50 1.80 31.7 1.76 265 Wearing apparel 1.66 0.67 58.0 0.63 278 Total 92.26/a 95.79/a 21.17/b 96.10(a 255/b Small Scale Industry Food manufacturing 46.69 41.93 172.0 46.82 266 Textiles 9.05 13.62 102.6 9.65 218 Wood & wood products 8.57 7.45 177.7 6.69 373 Furniture & fixtures 4.62 4.69 151.9 4.63 371 Cement, lime & products 4.53 4.70 148.8 4.72 307 Fabricated metal products, except machinery 4.36 4.71 142.9 4.70 377 Bricks, tiles & clay products 3.43 8.22 64.5 8.60 224 Printing & publishing 3.07 0.22 219.5 1.66 298 Total 84.32/a 85.44/a 154.49/b 87.47/a 285/b Medium & Large Scale Industry Food manufacturing 23.09 20.50 812.0 21.69 586 Tobacco manufactures 21.42 19.35 798.0 10.84 270 Textiles 14.22 24.94 411.0 27.30 436 Rubber products 8.00 6.91 834.3 6.60 656 Transport equipment 4.75 2.21 1,550.4 1.58 1,470 Other chemicals 3.45 3.67 678.1 3.22 1,084 Electrical machinery, appliances, et:. 3.37 1.84 319.0 0.93 1,156 Beverage industries 3.03 0.71 3,068.7 0.85 2,176 Total 81.32/a 80.13/a 720.78/b 73.01/a 572/b /a Cumulative total. /b National average. -56- Table 0.5 Page 1 INDONESIA TOP EIGHT PROVINCES IN ROUSEHOLD & COTTAGE, SMALL, MEDIUM & LARGE SCALE INDUSTRY 1974 No. of per- Labor No. of esta- Wages & Province ranked by sons engaged productivity Value added blishments salaries No. of persons engaged (% of total) (Rp'OOO/year) (Z of total) (% of total) (Rp/day) Household & Cottage Industry Java, Central 41.88 13.9 27.49 42.19 178 Java, East 14.59 21.9 15.09 13.91 209 Java, West 12.11 23.7 13.54 12.11 263 Jogyakarta 6.87 11.6 3.77 6.99 198 Sulawesi, South 5.25 22.7 5.63 5.37 241 Sulawesi, North 2.52 32.4 3.85 2.36 576 Nusatenggara, West 2.06 14.2 1.38 2.43 166 Kalimantan, South 1.90 31.0 2.77 1.84 354 Total 87.18/a 21.2/b 73.52/a 87.20/a 255/b Small-Scale Industry Java, Central 21.57 130.7 18.25 19.12 245 Java, West 20.82 135.5 18.27 20.91 277 Java, East 20.73 143.3 19.23 23.70 229 Jakarta 5.39 263.1 9.18 4.11 429 Sulawesi, South 4.62 79.9 2.39 5.25 207 Sumatra, North 4.59 218.6 6.49 4.12 344 Sumatra, South 3.54 239.5 5.50 4.83 371 Jogyakarta 2.71 130.1 2.28 2.41 222 Total 83.97/a 154.5/b 81.59/a 84.44/a 285/b Medium & Large Scale Industry Java, East 31.13 642.5 27.74 25.65 446 Java, Central 22.35 493.6 15.30 22.34 392 Java, West 17.63 777.1 19.00 22.54 568 Jakarta 13.29 1,056.4 19.48 12.38 1,107 Sumatra, North 3.82 1,098.9 5.82 3.84 508 Jogyakarta 2.09 460.3 1.33 2.19 552 Sumatra, South 1.68 1,085.6 2.53 1.03 1,188 Kalimantan, West 1.21 1,213.7 2.04 0.82 914 Total 93.20/a 720.8/b 93.24/a 90.79/a 572/b -57_ Table 0.5 Page 2 Labor No. of per- No. of esta- Wages & Province ranked by productivity Value added sons engaged blishments salaries Labor productivity (Rp'OOO/year) (Z of total) (X of total) (Z of total) (Rp/day) Household & Cottage Industry Maluku 139.5 0.13 0.02 0.02 423 Irian Jaya 114.7 0.49 0.09 0.08 469 Kalimantan, East 95.1 0.39 0.09 0.08 607 Jakarta 90.1 6.33 1.49 1.32 362 Sumatra, South 71.5 3.35 0.99 0.96 351 Riau 51.7 0.99 0.41 0.39 427 Sulawesi, Central 50.0 0.08 0.03 0.03 303 Sumatra, North 43.6 2.77 1.34 1.26 306 Total 21.2/b 14.53/a 4.46/a 4.14/a 255/b Small Scale Industry Kalimantan, East 367.0 0.88 0.37 0.31 562 Irian Jaya 265.5 0.51 0.30 0.25 413 Jakarta 263.6 9.18 5.39 4.11 429 Bengkulu 256.1 0.41 0.24 0.24 372 Kalimantan, Central 246.3 0.70 0.44 0.40 430 Sumatra, South 239.5 5.50 3.54 3.99 371 Riau 239.1 2.16 1.39 1.42 432 Sumatra, North 218.6 6.49 4.59 4.12 344 Total 154.5/b 25.83/a 16.26/a 14.84/a 285/b Medium & Large Scale Industry Sulawesi, Central 2,317.9 0.09 0.03 0.07 499 Sumatra, West 1,476.4 1.33 0.65 0.63 1,088 Sulawesi, South 1,236.1 1.60 0.93 1.61 866 Kalimantan, West 1,213.7 2.04 1.21 0.82 914 Lampung 1,133.2 1.03 0.65 0.92 756 Sumatra, North 1,098.9 5.82 3.82 3.84 508 Sumatra, South 1,1385.6 2.53 1.68 1.03 1,188 Jakarta 1,056.4 19.48 13.29 12.38 1,107 Total 720.8/b 33.92/a 22.26/a 21.30/a 572/b Table 0.5 -58- Page 3 No. of per- Labor No. of esta- Wages & Province ranked Value added sous engaged productivity blishments salaries by value added (X of total) (% of total) (Rp'000/year) (X of total) (Rp/day) Household & Cottage Industry Java, Central 27.49 41.88 13.9 42.19 178 Java, East 15.09 14.59 21.9 13.91 209 Java, West 13.54 12.11 23.7 12.11 263 Jakarta 6.33 1.49 90.1 1.32 362 Sulawesi, South 5.63 5.25 22.7 5.37 241 Sulawesi, North 3.85 2.52 32.4 2.36 576 Jogyakarta 3.77 6.87 11.6 6.99 198 Sumatra, South 3.35 0.99 71.5 0.96 351 Total 79.05/a 85.70/b 21.2/a 85.21/a 255/b Small Scale Industry Java, East 19.23 20.73 143.3 23.70 229 Java, West 18.27 20.82 135.5 20.91 277 Java, Central 18.25 21.57 130.7 19.12 245 Jakarta 9.18 5.39 263.1 4.11 429 Sumatra, North 6.49 4.59 218.6 4.12 344 Sumatra, South 5.50 3.54 239.5 3.99 371 Sulawesi, South 2.39 4.62 79.9 5.25 207 Jogyakarta 2.28 2.71 130.1 2.41 222 Total 81.59/a 83.97/a 154.5/b 83.61/a 285/b Medium & Large Scale Industry Java, East 27.74 31.13 642.5 25.65 446 Jakarta 19.48 13.29 1,056.4 12.38 1,107 Java, West 19.00 17.63 771.1 22.54 568 Java, Central 15.30 22.35 493.6 22.34 392 Sumatra, North 5.82 3.82 1,098.9 3.84 508 Sumatra, South 2.53 1.68 1,085.6 1.03 1,188 Kalimantan, West 2.04 1.21 1,213.7 0.82 914 Sulawesi, South 1.60 0.93 1,236.1 1.61 866 Total 93.51/a 92.04/a 720.8/a 90.21/a 572/b /a Cumulative total. /b National average. C30530/J38283/D2049/A-14/15 INDONESIA NUMBER OF MANUFACTURING ESTABLISHMENTS BY EMPLOYMENT SIZE AND INDUSTRY GROUP, 1974 … ------------------------ Number of Establishiments by the Number of Persons Engaged ---------------------- Household B cottage Small Medium Large Industry group 1-4 2-4 5-9 10-14 15-19 20-49 50-99 100-499 500- 1-4 5-19 20-99 100- All 311-312 Food manufacturing 385,295 43,955 19,817 1,836 906 1,068 239 163 68 429,250 22,559 1,307 231 453,147 313 Beverage industries 1,523 147 282 86 48 42 10 6 2 1,670 416 52 8 2,146 314 Tobacco manufactures 1,554 1,810 1,129 105 66 370 180 168 51 3,364 1,300 550 219 5,433 321 Textiles 125,284 4,106 2,534 1,178 937 1,259 379 236 62 129,390 4,649 1,638 298 135,975 322 Wearing apparel 6,41i 1,392 493 o3 49 57, 0 ' - ?,803 e2s 67 5 R 500 323 Leather manufactures 428 590 124 20 11 15 7 5 - 1,018 155 22 5 1,200 324 Footwear 779 690 309 30 24 23 4 1 3 1,469 363 27 4 1,863 331 Wood & wood products 491,472 10,589 2,451 490 283 227 54 38 3 502,061 3,224 281 41 505,607 332 Furniture & fixtures 25,576 7,225 1,847 268 117 67 10 8 - 32,801 2,232 77 8 35,118 341 Paper & paper products 1,368 156 34 17 14 36 9 8 7 1,524 65 45 15 1,649 342 Printing & publishing 537 567 500 185 117 152 46 29 2 1,104 802 198 31 2,135 351 Industrial chemicals - - 72 31 17 32 19 14 1 - 120 51 15 186 352 Other chemicals 1,027 957 332 101 70 115 57 48 8 1,984 503 172 56 2,715 355 Rubber products 582 959 289 90 75 207 122 131 8 1,541 454 329 139 2,463 356 Plastic products 1,272 520 168 80 54 81 31 25 - 1,792 302 112 25 2,231 361 Pottery, china & earthernware 20,361 649 173 22 9 15 3 1 1 21,010 204 18 4 21,234 362 Glass & glass products - - 14 3 4 20 11 18 1 - 21 31 19 71 363 Cement, lime & products 1,993 2,551 1,708 372 193 180 23 9 4 4,544 2,273 203 13 7,033 364 Bricks, tiles & clay products 38,064 11,729 3,466 456 223 147 28 6 - 49,793 4,145 175 6 54,119 369 Non-vmetallic mineral products 4,906 346 67 26 13 9 3 1 - 5,252 106 12 1 5,371 371 Iron and steel industries - - I 1 0 4 2 3 - - 2 6 3 11 372 Non-ferrous metal basic Industries - - 3 1 0 - 3 6 - - 4 3 6 13 381 Fabricated metal products (except 8,408 5,192 1,889 230 146 131 50 52 6 13,600 2,265 181 58 16,104 machinery) 382 Machinery, except electrical - - 108 38 16 38 14 14 2 - 162 52 16 230 383 Electrical machinery, appliances, - - 40 16 7 20 18 23 5 - 63 38 28 130 etc. 384 Transport equipment 1,492 340 308 69 49 57 22 26 7 1,832 426 79 33 2,370 385 Scientific,photographic equipment, - - 21 12 *7 10 2 1 - - 40 12 1 53 etc. 390 Other manufacturing 19,229 2,480 539 115 54 42 10 7 6 21,709 708 52 13 22,482 Total 1,137,561 96950 38,715 5,961 3,S10 4,424 1,366 1 4 247 1,234,S11 481A .790 1 3" 1,289,788 m "0 INDONESIA NUMBER OF MANUFACTURING ESTABLISHMENTS BY EMPLOYMENT SIZE AND PROVINCE, 1974 -------------------------- Number of Establishments by the Number of Persons Engaged -----------------…----------- Household & cottage Small Medium Large Province 1-4 2-4 5-9 10-14 15-19 20-49 50-99 100-499 500- 1-4 5-19 20-99 100- All Sumatra Aceh 23,437 1,137 639 64 38 14 6 4 1 24,574 741 20 5 25,340 Sumatra, North 12,645 2,915 1,532 300 153 152 51 53 6 15,560 1,985 203 59 17,817 Sumatra, West 20,572 2,370 1,078 97 45 29 7 8 1 22,942 1,220 36 9 24,207 Riau 4,289 547 561 76 47 26 12 11 - 4,836 684 38 11 5,569 Jambi 7,086 1,121 383 39 18 16 6 5 3 8,207 440 22 8 8,677 Sumatra, South 10,282 1,541 1,758 103 61 30 13 26 4 11,823 1,922 43 30 13,818 Bengkulu 4,362 488 97 12 7 3 - - - 4,850 116 3 - 4,969 Lampung 7,477 1,056 372 51 47 33 19 12 1 8,533 470 52 13 9,068 Java Jakarta 11,887 4,458 1,229 417 337 489 171 189 29 16,345 1,983 660 219 19,206 Java, West 133,887 15,613 8,413 1,014 650 1,049 292 226 31 149,500 10,077 1,341 257 161,175 Java, Central 497,061 23,831 6,721 1,537 954 1,068 289 166 61 520,892 9,212 1,357 227 531,688 Jogyakarta 83,358 2,952 829 231 100 107 24 19 5 86,310 1,160 131 24 87,625 Java, East 154,192 17,524 9,424 1,305 690 1,083 379 263 94 171,716 11,419 1,462 357 184,954 Kalimantan Kalimantan, West 11,541 537 452 28 17 23 12 21 2 12,078 497 35 23 12,633 Kalimantan, Central 915 77 153 26 12 14 3 4 1 992 191 17 4 1,204 Kalimantan, South 20,977 1,690 434 36 39 39 42 8 7 22,667 509 50 10 23,236 Kalimantan, East 826 130 101 29 17 15 7 1 - 956 147 22 1 1,126 Sulawesi Sulawesi, North 19,497 9,641 370 58 24 12 3 3 - 29,138 452 15 3 29,608 Sulawesi, Central 294 61 266 19 11 3 2 - - 355 296 5 - 656 Sulawesi, South 60,480 5,873 2,248 191 89 86 15 10 3 66,353 2,528 101 13 68,995 Sulawesi, Southeast 1,161 46 316 51 20 24 5 1 - 1,207 387 29 1 1,624 Others Bali 20,162 1,451 527 109 74 37 12 12 2 21,613 710 49 14 22.386 Nusatenggara, West 28,438 1,612 463 73 19 47 13 6 1 30,050 555 60 7 30,672 Nusatenggara, East 1,806 39 194 50 20 9 3 2 - 1,845 264 12 2 2,123 Maluku 136 50 66 25 9 4 3 3 - 186 100 7 3 296 Irian Jaya 793 190 90 20 12 9 1 2 1 983 122 10 2 1,117 Total 1,137,561 96,950 38,715 5,961 3,510 4,424 1,366 1,054 247 1,234.511 48,186 5,790 1,301 1,289,788 ID 0% l -61- Table 2.1 INDONESIA NUMBER OF ESIABLISHMENTS USING POWER EQUIPMENT BY SIZE & INDUSTRY GROUP. 1974 Number of Establishments by the Number of Persons Engaged Industry group 5-9 10-14 15-19 20-49 50-99 100-499 500 + SI MI LI All 311-312 Food manufactures 115 40 30 739 208 151 68 155 947 219 1,321 313 Beverage industry 1 3 3 26 5 5 2 7 31 7 45 314 Tobacco manufactures 1 1 2 35 26 66 51 4 61 117 182 321 Textiles 7 11 16 400 229 196 62 34 629 258 921 322 Wearing apparel - - - 30 5 5 - - 35 5 40 323 Leather manufactures - 1 - 13 6 5 - 1 19 5 25 324 Footwear - - - 11 3 1 3 - 14 4 18 331 Wood & wood products 5 7 5 139 44 36 3 17 183 39 239 332 Furniture & fixtures - 1 - 31 6 8 - 1 37 8 46 341 Paper & paper products - - - 31 7 7 7 - 38 14 52 342 Printing & publishing 7 7 6 115 40 29 2 20 155 31 206 351 Industrial chemicals - 1 3 27 15 12 1 4 42 13 59 352 Other chemicals 1 2 1 64 42 44 8 4 106 52 162 355 Rubber products 3 5 9 163 109 127 8 17 272 135 424 356 Plastic products 1 5 4 66 31 24 - 10 97 24 131 361 Pottery, China & earthenware - - 1 12 2 - 1 1 14 1 16 362 Glass & glass products - - 1 15 11 16 1 1 26 17 44 363 Cement, lime & products 1 - 1 60 11 8 4 2 71 12 85 364 Bricks, tiles & clay products - - - 37 21 5 - - 58 5 63 369 Non-metallic mineral products - - - 7 2 1 - - 9 1 10 371 Iron & steel industry - - - 2 2 3 - - 4 3 7 372 Non-ferrous metals basic industries - - - - 3 6 - - 3 6 9 381 Fabricated metal products (except machinery) 21 4 9 105 45 51 6 34 150 57 241 382 Machinery, except electrical 7 2 3 35 14 14 2 12 49 16 77 383 Electrical machinery, appliances, etc. 2 - - 17 17 22 5 2 34 27 63 384 Transport equipment 7 3 1 46 19 26 7 11 65 33 109 385 Scientific photographic equipment, etc. - - - 7 2 - - - 9 - 9 390 Other manufacturing 1 - 3 23 7 5 6 4 30 11 45 Total 150 93 98 2,256 932 873 247 341 3,188 1,120 4,649 -62- Table 2.2 INDONESIA NUMBER OF ESTABLISHMENTS USING POWER EQUIPMENT BY EMPLOYMENT SIZE AND PROVINCE, 1974 Number of Establishments by the Number of Persons Engaged Province 5-9 10-14 15-19 20-49 50-99 100-499 500+ SI MI LI All Sumatra Aceh 1 - 1 11 5 4 1 2 16 5 23 Sumatra, North 16 10 11 134 58 52 6 37 192 58 287 Sumatra, West 8 3 - 16 6 7 1 11 22 8 41 Riau 3 2 2 20 12 11 - 7 32 11 50 Jambi 2 1 - 12 5 5 3 3 17 8 28 Sumatera, South 5 1 1 24 13 26 4 7 37 30 74 Bengkulu 1 - - 2 - - - 1 2 - 3 Lampung 1 1 4 27 19 11 1 6 46 12 64 Java Jakarta 18 16 22 366 157 187 29 56 523 216 795 Java, West 33 19 17 686 256 213 31 69 942 244 1,255 Java, Central 19 14 11 312 122 131 61 44 434 192 670 Jogyakarta - - 3 23 9 16 5 3 32 21 56 Java, East 23 19 19 468 211 155 94 61 679 249 989 Kalimantan Kalimantan, West 1 - 1 19 11 21 2 2 30 23 55 Kalimantan, Central 2 - - 9 2 4 - 2 11 4 17 Kalimantan, South - 1 3 30 7 7 3 4 37 10 51 Kalimantan, East 2 - - 11 6 1 - 2 17 1 20 Sulawesi Sulawesi, North 2 1 - 6 3 2 - 3 9 2 14 Sulawesi, Central 2 - - - 2 - - 2 2 - 4 Sulawesi, South 1 1 - 34 12 7 3 2 46 10 58 Sulawesi, Southeast - - - 3 1 - - - 4 - 4 Others Bali - 1 2 16 5 6 2 3 21 8 32 Nusatenggara, West 2 - - 16 4 2 1 2 20 3 25 Nusatenggara, East 5 3 1 6 3 2 - 9 9 2 20 Maluku 2 - - 3 3 1 - 2 6 1 9 Irian Jaya I - - 2 - 2 - 1 2 2 5 Total 150 93 98 2,256 932 873 247 341 3.188 1,120 4,649 INDONESIA NUMBER OF PERSONS ENGAGED (TOTAL, PAID & UNPAID), AND PAID AND UNPAID AS Z OF TOTAL FOR A SEGMENT BY INDUSTRY GROUP, 1974 Number of persons engaged Household & cottage Small scale Medium & large Paid Unpaid Paid Unpaid Paid Unpaid Industry group employees workers Total employees workers Total employees workers Total 311-312 Food manufacturing 77,582 1,303,138 1,380,720 -105,695 38,213 143,908 134,423 1,220 135,643 313 Beverage industries 262 5,233 5,495 2,814 698 3,512 4,677 27 4,704 314 Tobacco manufactures 3,788 11,174 14,962 3,081 693 3,774 127,550 491 128,041 321 Textiles 8,419 390,436 398,855 39,365 7,392 46,757 162,390 2,608 164,998 322 Wearing apparel 2,635 23,653 26,288 3,740 1,030 4,770 2,542 75 2,617 323 leather man,,factsirea 1:224 3.001 4.225 960 222 1.182 1,529 20 1.549 324 Footwear 1,383 4,373 5,756 2,224 442 2,666 5,040 42 5,082 331 Wood & wood products 17,431 1,518,941 1,536,372 20,897 4,669 25,566 18,880 154 19,034 332 Furniture & fixtures 13,129 94,503 107,632 12,628 3,486 16,114 3,252 82 3,334 341 Paper 6 paper products 393 4,751 5,144 579 81 660 7,240 41 7,281 342 Printing & publishing 1,238 3,096 4,334 6,536 871 7,407 14,619 82 14,701 351 Industrial chemicals - - - 964 120 1,084 4,474 35 4,509 352 Other chemicals 2,099 5,914 8,013 3,578 677 4,255 24,205 87 24,292 355 Rubber products 1,841 4,434 6,275 3,721 420 4,141 45,663 82 45,745 356 Plastic products 1,131 5,527 6,658 2,516 394 2,910 9,187 69 9,256 361 Pottery, china & earthernware 1,065 60,484 61,549 1,025 403 1,428 1,048 20 1,068 362 Glass & glass products - - - 161 35 196 5,098 26 5,124 363 Cement, lime & products 4,847 14,093 18,940 13,497 2,636 16,133 11,319 177 11,496 364 Bricks, tiles & clay products 22,447 143,650 166,097 21,955 6,244 28,199 5,862 187 6,049 369 Non-metallic mineral products 961 15,656 16,617 824 136 960 851 9 860 371 Iron & steel industries - - - 19 2 21 930 3 933 372 Non-ferrous metal basic industries - - - 27 2 29 1,127 - 1,127 381 Fabricated metal products (except machinery) 9,762 39,769 49,531 12,847 3,318 16,165 21,135 157 21,292 382 Machinery, except electrical - - - 1,210 209 1,419 7,274 37 7,311 383 Electrical machinery, appliances, etc. - - - 464 89 553 12,169 6 12,175 384 Transport equipment 680 5,562 6,242 2,973 563 3,536 14,539 68 14,607 385 Scientific,photographic equipment, etc. - - - 338 52 390 469 13 482 390 Other manufacturing 4,869 65,282 70,151 4,358 1,141 5,499 8,329 65 8,394 Total 177,186 3,722,670 3,899,856 269,005 74,235 343,240 655,821 5,883 661_,704 W. No. of persons enRaged X o f t o t a l All manufacturing Household & cottage Small scale Medium & large lndustry group Paid Unpaid Grand Total Paid Unpaid Paid Unpaid Paid Unpaid 311-312 Food manufacturing 317,700 1,342,571 1,660,271 5.62 94.38 73.45 26.55 99.1 0.90 313 Beverage industries 7,753 5,958 13,711 4.77 95.23 80.12 19.87 99.4_. 0. . 314 Tobacco manufactures 134,419 12,358 146,777 25.32 74.68 81.64 18.36 99.62 0.. 321 Textiles 210,174 400,436 610,610 2.11 97.89 84.19 15.81 98.4' 1.58 322 Wearing apparel 8,917 24,758 33,675 10.02 89.98 78.41 21.59 97.1 2.87 323 Leather manufactures 3,713 3,243 6,956 28.97 71.03 81.22 18.78 98.71 1.'> 324 Footwear 8,647 4,857 13,504 24.03 75.97 83.42 16.58 99.17 0.83 331 Wood & wood products 57,208 1,523,764 1,580,972 1.13 98.87 81.74 18.26 99.19 0.81 332 Furniture & fixtures 29,009 98,071 127,080 12.20 87.80 78.37 21.63 97.54 2.46 341 Paper & paper products 8,212 4,873 13,085 7.64 92.36 87.73 12.27 99.44 0.56 342 Printing & publishing 22,393 4,049 26,442 28.56 71.44 88.24 11.76 99.44 0.56 351 Industrial chemicals 5,438 155 5,593 - - 88.93 11.07 99.22 0.78 352 Other chemicals 29,882 6,678 36,560 26.19 73.81 84.09 15.91 99.64 0.36 355 Rubber products 51,225 4,936 56,161 29.34 70.66 89.86 10.14 99.82 0.18 356 Plastic products 12,834 5,990 18,824 16.99 83.01 86.46 13.54 99.25 0.75 361 Pottery, china & earthernware 3,138 60,907 64,045 1.73 98.27 71.78 28.22 98.13 1.87 362 Glass & glass products 5,259 61 5,320 - - 82.14 17.86 99.49 0.51 363 Cement, lime & products 29,663 16,906 46,569 25.59 74.41 83.66 16.34 98.46 1.54 364 Bricks, tiles & clay products 50,264 150,081 200,345 13.51 86.49 77.86 22.14 96.91 3.09 369 Non-metallic mineral products 2,636 15,801 18,437 5.78 94.22 85.83 14.17 98.95 1.05 371 Iron & steel industries 949 5 954 - - 90.48 9.52 99.68 0.32 372 Non-ferrous metal basic industries 1,154 2 1,156 - - 93.10 6.90 100.00 0.00 381 Fabricated metal products (except machinery) 43,744 43,244 86,988 19.71 80.29 79.47 20.53 99.26 0.74 382 Machinery, except electrical 8,484 246 8,730 - - 85.27 14.73 99.49 0.51 383 Electrical machinery, appliances, etc. 12,633 95 12,728 - - 83.91 16.09 99.95 0.05 384 Transport equipment 18,192 6,193 24,385 10.89 89.11 84.08 15.92 99.53 0.47 385 Scientific, photographic equipment, etc. 807 65 872 - - 86.67 13.33 97.30 2.70 390 Other manufacturing 17,556 66,488 84,044 6.94 93.06 79.25 20.75 99.23 0.77 Total 1,102,012 3,802,788 4,904,800 4.54 95.46 78.37 21.63 99.11 0.89 ma s Iz Table 3 .2 -65- Page 1 INDONESIA NO. OF PERSONS ENGAGED (TOTAL, PAID, UNPAID) AND PAID & UNPAID AS % OF TOTAL FOR A SEGMENT BY PROVINCE, 1974 No. of Persons Engaged (Total) Household & Cottage Small Scale Medium & Large Paid Unpaid Paid Unpaid Paid Unpaid Province employees workers Total employees workers Total employees workers Total Sumatra Aceh 2,294 71,268 73,562 4,162 854 5,016 2,884 3 2,887 Sumatra, North 4,938 47,469 52,407 12,462 3,288 15,750 25,117 141 25,258 Sumatra, West 4,302 61,577 65,879 4,747 2,963 7,710 4,256 32 4,288 Riau 882 14,949 15,831 3,793 989 4,782 3,226 18 3,244 Jambi 2,461 24,938 27,399 2,103 726 2,829 3,689 12 3,701 Sumatra, South 2,866 35,870 38,736 8,635 3,550 12,185 11,085 26 11,111 Bengkulu 573 14,264 14,837 619 228 847 60 3 63 Lampung 2,117 26,656 28,773 3,051 582 3,633 4,302 17 4,319 Java Jakarta 8,734 49,215 57,949 15,920 2,590 18,510 87,512 431 87,943 Java, West 29,750 442,649 472,399 56,366 15,101 71,467 115,416 1,213 116,629 Java, Central 41,078 1,592,373 1,633,451 59,678 14,348 74,026 146,014 1,848 147,862 Jogyakarta 5,193 262,667 267,860 6,802 2,489 9,291 13,524 280 13,804 Java, East 33,301 535,670 568,971 56,824 14,333 71,157 204,433 1,537 205,970 Kalimantan Kalimantan, West 1,045 37,955 39,000 2,020 1,084 3,104 7,998 24 8,022 Kalimantan, Central 206 3,203 3,409 1,289 219 1,508 1,223 1 1,224 Kalimantan, South 3,601 70,160 73,761 2,951 743 3,694 4,407 27 4,434 Kalimantan, East 348 3,021 3,369 1,090 177 1,267 944 14 958 Sulawesi Sulawesi, North 16,409 81,775 98,184 2,418 803 3,221 1,005 8 1,013 Sulawesi, Central 114 1,129 1,243 1,058 781 1,839 187 3 190 Sulawesi, South 10,418 194,201 204,619 10,955 4,888 15,843 6,097 77 6,174 Sulawesi, Southeast 104 3,686 3,790 1,642 1,036 2,678 914 27 941 Others Bali 3,062 61,380 64,442 4,693 937 5,630 5,726 85 5,811 Nusatenggara, West 2,893 77,399 80,292 2,504 844 3,348 3,254 34 3,288 Nusatenggara, East 76 5 297 5,373 1,616 413 2,029 775 10 785 Maluku 110 659 769 700 155 855 1,020 3 1,023 Irian Jaya 311 3,.240 3,551 907 114 1,021 753 9 762 Total 177,186 3 702,670 3,899,856 969,005 74,235 343,240 655.821 5,883 661,704 :able 3.2 -66- Page 2 No. of Persons Engaged % of Total All Manufacturing Sectors Household & Cottage Small Scale Medium & Large Paid Unpaid Grand Paid Unpaid Paid Unpaid Paid Unpaid Bro':ince employees workers total employees workers erployee- -orke- emplov"'q workers Sumatra Aceh 9,340 72,125 81,465 3.1 96.9 83.0 17.0 99.9 0.1 Sumatra, North 42,517 50,898 93,415 9.4 90.6 79.1 20.9 99.4 0.6 Sumatra, West 13,305 64,572 77,877 6.5 93.5 61.6 38.4 99.3 0.7 Riau 7,901 15,956 23,857 5.6 94.4 79.3 20.7 99.4 0.6 Jambi 8,253 25,676 33,929 9.0 91.0 74.3 25.7 99.7 0.3 Sumatra, South 22,586 39,446 62,032 7.4 92.6 70.9 29.1 99.8 0.2 Bengkulu 1,252 14,495 15,747 3.9 96.1 73.1 26.9 95.2 4.8 Lampung 9,470 27,255 36,725 7.4 92.6 84.0 16.0 99.6 0.4 Java Jakarta 112,166 52,236 64,402 15.1 84.9 86.0 14.0 99.5 0.5 Java, West 201,532 458,963 660,495 6.3 93.7 78.9 21.1 99.0 1.0 Java, Central 246,770 1,608,569 1,855,339 2.5 97.5 80.6 19.4 98.8 1.2 Jogyakarta 25,519 265,436 390,955 1.9 98.1 73.2 26.8 98.0 2.0 Java, East 294,558 551,540 846,098 5.9 94.1 79.9 20.1 99.3 0.7 Kalimantan Kalimantan, West 11,063 39,063 50,126 2.7 97.3 65.1 34.9 99.7 0.3 Kalimantan, Central 2,718 3,423 6,141 6.0 94.0 85.5 14.5 99.9 0.1 Kalimantan, South 10,959 70,930 81,889 4.9 95.1 79.9 20.1 99.4 0.6 Kalimantan, East 2,382 3,212 5,594 10.3 89.7 86.0 14.0 98.5 1.5 Sulawesi Sulawesi, North 19,832 82,586 102,418 16.7 83.3 75.1 24.9 99.2 0.8 Sulawesi, Central 1,359 1,913 3,272 9.2 90.8 57.6 42.5 98.4 1.6 Sulawesi, South 27,470 199,166 226,636 5.1 94.9 69.1 30.9 98.8 1.2 Sulawesi, Southeast 2,660 4,749 7,409 2.7 97.3 61.3 38.7 97.1 2.9 Others Bali 13,481 62,402 75,883 4.8 95.2 83.4 16.6 98.5 1.5 Nusatenggara, West 8,651 78,277 86,928 3.6 96.4 74.8 25.2 99.0 1.0 Nusatenggara, East 2,467 5,720 8,187 1.4 98.6 79.6 20.4 98.7 1.3 Maluku 1,830 817 3,647 14.3 85.7 81.9 18.1 99.7 0.3 Irian Jaya 1,971 3,363 5,334 8.8 91.2 88.8 11.2 98.8 1.2 Total 1.102.012 3,802.788 4,904,800 4.5 95.5 78.4 21.6 99.1 0.9 INDONESIA NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT, NUMBER OF DAYS PER PERSON ENGAGED, AND WAGES AND SALARIES PER EMPLOYEE PER DAY BY INDUSTRY GROUP, 1974 No. of persons engaged/estabishment No. of days/person engaged Wages & salaries Hshid. & cottage Household & cottage Rp per employee/day Household With Household With members hired Small Medium members hired Small Medium Household Small Mediuim Industry group only labor scale 6 large only labor All scale 6 large 6 cottage scale & large 311-312 Food manufacturing 3 2 6 88 129 212 134 209 235 226 266 586 313 Beverage industries 3 2 8 78 79 210 85 229 187 245 286 2,176 314 Tobacco manufactures 3 2 3 166 104 158 118 126 277 469 188 270 321 Textiles 3 2 10 85 86 256 89 222 255 146 218 436 322 Wearing apparel 3 2 8 36 90 258 107 215 250 278 310 397 323 Leather manufactures 3 2 8 57 97 232 136 264 243 236 298 458 324 Footwear 3 2 7 164 101 273 142 212 230 405 436 1,241 331 Wood & wood products 3 2 8 59 89 222 91 201 221 343 373 782 332 FurnJture 6 fixtures 3 2 7 39 90 231 107 244 246 300 371 659 341 Paper & paper products 3 3 10 121 97 275 111 224 224 370 199 1,067 342 Printing & publishing 3 2 9 64 88 275 141 271 229 230 360 636 351 Industrial chemicals - - 9 68 - - - 226 220 - 311 895 352 Other chemicals 3 2 8 106 62 143 83 225 213 289 382 1,084 355 Rubber products 3 2 9 98 69 209 110 230 239 210 292 656 356 Plastic products 3 2 10 67 81 271 113 244 251 259 304 449 361 Pottery, china & earthernware 3 2 7 53 120 192 121 208 246 191 235 441 362 Glass & glass products - - 9 102 - - - 234 235 - 266 860 363 Cement, lime 6 products 3 2 7 53 86 193 114 196 248 286 307 986 364 Bricks, tiles 6 clay products 3 2 7 33 119 245 136 180 258 255 224 268 369 Non-metallic mineral products 3 2 9 66 96 284 107 210 254 169 272 568 371 Iron & steel industries - - 10 104 - - - 275 245 - 350 910 372 Non-ferrous metal basic industries - - 7 125 - - - 299 203 - 377 1,468 381 Fabricated metal products (except machinery) 3 2 7 88 92 227 119 228 223 264 316 742 382 Machinery, except electrical - - 9 107 - - - 277 225 - 389 866 383 Electrical machinery, appliances, etc. - - 9 184 - - - 264 223 - 366 1,156 384 Transport equipment 3 2 8 130 71 215 87 249 214 318 402 1,470 385 Scientific,photographic equipment,etc. - - 10 37 - - - 278 263 - 328 452 390 Other manufacturing 3 2 8 i29 97 252 108 222 222 265 308 1,587 Total 3 2 7 93 105 222 110 213 246 255 285 572 _ _ _ _ _ _ _ _ _ _ _ _~~~~~~~~~~~~~~~a lJ 0 -68- Table 4.2 INDONESIA NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT, NUMBER OP DAYS PER PERSON ENGAGED AND WAGES AND SALARIES PER EMPLOYEE PER DAY BY PROVINCE, 1974 No. of persons engaged/estabishment No. of days/person engaged Wages & salaries Eshid. & cottage Household & cottage Rp per employee/day Household With Household With members hired Small Medium members hired Small Medium Household Small Medium Industry group only labor scale & large only labor All scale & large 6 cottage scale & large Sumatra Aceh 3 2 7 115 65 219 70 166 196 351 388 674 Sumatra, North 3 2 8 93 84 223 97 230 250 306 344 508 Sumatra, West 3 2 6 95 77 245 88 218 266 342 460 1,088 Riau 3 2 7 66 77 236 86 201 214 427 432 744 Jambi 3 2 6 123 78 147 84 171 265 691 373 671 Sumatra, South 3 2 6 152 81 247 93 172 241 351 371 1,188 Bengkulu 3 1 7 21 60 232 67 225 210 307 372 845 Lampung 3 2 8 66 83 231 94 194 203 247 342 756 Java Jakarta 3 2 9 100 103 286 131 236 227 362 429 1,107 Java, West 3 2 7 73 92 213 99 199 250 263 277 568 Java, Central 3 2 8 93 119 250 123 227 255 178 245 392 Jogyakarta 3 2 8 89 107 238 108 265 250 198 222 552 Java, East 3 2 6 113 116 250 124 217 251 209 229 446 Kalimantan Kalimantan, West 3 3 6 138 63 212 67 194 205 391 393 914 Kalimantan, Central 3 3 8 58 80 218 88 168 241 292 430 706 Kalimantan, South 3 2 7 74 101 231 107 211 186 354 325 769 Kalimantan, East 3 3 9 42 72 198 85 226 232 607 562 923 Sulawesi Sulawesi, North 3 2 7 56 47 80 53 166 235 576 719 389 Sulawesi, Central 3 2 6 38 64 246 80 181 231 303 277 499 Sulawesi, South 3 2 6 44 84 206 90 189 227 241 207 866 Sulawesi, Southeast 3 2 7 31 59 221 64 161 249 315 363 250 Others Bali 3 2 8 92 86 242 94 243 253 192 224 320 Nusatenggara, West 3 2 6 49 74 215 79 212 220 166 205 201 Nusatengarra, East 3 2 8 56 43 237 42 168 272 190 239 288 Maluku 4 2 9 102 67 264 95 217 255 423 432 431 Irian Jaya 3 2 8 64 117 299 133 226 142 469 413 1,165 Total 3 2 7 93 105 222 110 213 246 255 285 572 INDONESIA NUMBER OF MAN-DAYS, WAGES & SALARIES, VALUE ADDED, GROSS OUTPUT, VALUE ADDED/PERSON ENGAGED, AND VALUE ADDED/GROSS OUTPUT (2) BY INDUSTRY GROUP, 1974 Number of man-days ('000)/a Wages 6 Salaries (Rp million) Value added (Rp million) Household Small Medium Household Small Medium Household Small Medium Industry group & cottage scale & large 6 cottage scale 6 large A cottage scale 6 large 311-312 Food manufacturing 184,891 22,072 31,840 3,703.7 5,877.0 18,678.4 36,053.3 24,756.2 110,114.2 313 Beverage industries 469 641 882 13.5 182.9 1,920.4 205.6 540.5 14,435.1 314 Tobacco manufactures 1,764 385 35,422 280.7 72.4 9,035.1 1,040.9 340.9 102,174.4 321 Textiles 35,665 8,714 42,125 314.3 1,902.6 18,407.6 4,892.9 4,798.4 67,807.9 322 Wearing apparel 2,805 802 655 188.8 248.9 260.0 1,372.0 683.8 536.8 323 Leather manufactures 573 253 377 67.0 75.4 172.7 293.2 251.8 749.7 324 Footwear °:' 468 i,16i i52.6 203.8 1,450.0 575.3 528.9 3,118.2 331 Wood & wood products 139,590 4,193 4,215 1,328.8 1,564.7 3,297.5 17,426.2 4,543.0 11,327.6 332 Furniture & fixtures 11,556 3,068 822 911.5 1,138.5 542.0 4,522.4 2,448.5 1,207.0 341 Paper & paper products 570 130 1,628 40.0 25.8 1,738.0 206.4 72.4 6,300.7 342 Printing & publishing 611 1,773 3,371 78.1 638.7 2,144.4 274.8 1,626.1 6,396.2 351 Industrial chemicals - 217 994 - 67.5 889.8 - 453.7 4,734.3 352 Other chemicals 668 806 5,166 86.6 307.6 5,600.5 407.6 1,020.2 16,472.8 355 Rubber products 689 841 10,946 80.9 245.7 7,186.8 291.8 1,277.8 38,165.7 356 Plastic products 755 613 2,326 79.5 186.4 1,046.1 440.7 587.8 3,121.6 361 Pottery, china & earthernware 7,458 213 262 39.0 50.2 115.7 834.9 119.2 254.5 362 Glass 6 glass products - 38 1,206 - 10.0 1,037.8 - 34.2 2,617.4 363 Cement, lime & products 2,155 2,633 2,857 267.9 808.1 2,818.4 1,040.1 2,400.9 12,294.4 364 Bricks, tiles & clay products 22,619 3,932 1,563 1,398.8 882.5 418.5 7,292.4 1,819.3 1,155.7 369 Non-metallic mineral products 1,778 173 218 46.2 47.2 123.8 367.3 129.5 310.3 371 Iron 6 steel industries - 5 228 - 1.8 207.8 - - 829.6 372 Non-ferrous metal basic industries - 8 229 - 2.0 336.5 - 7.9 3,169.1 381 Fabricated metal products (except machinery) 5,885 2,928 4,959 586.0 926.3 2.678.8 2,540.1 2,309.7 12,183.3 382 Machinery, except electrical - 335 1,644 - 130.4 1,424.5 - 301.0 9,236.3 383 Electrical machinery, appliances, etc. - 123 2,717 - 44.9 3,141.8 - 308.7 16,058.5 384 Transport equipment 543 739 3,131 46.4 297.2 4,604.2 419.9 873.8 22,646.8 385 Scientific,photographic equipment,etc. - 94 127 - 30.8 57.3 - 73.2 155.4 390 Other manufacturing 7,596 969 1,865 325.6 298.5 2,960.4 2,066.6 720.1 10,550.9 Total 429,450 57,171 163,020 10,035.9 16,270.3 93,294.8 82,564.5 53,027.5 76_,947.2 /a Except for CI, relates to only paid employees; CIa have only 39.4 million man-days for paid employees. ma aa Gross output (Rp million) Value added (Rp)/person engaged Value added/Gross output (X) Household Small Medium Household Small Medium Household Small Medium Industry group 6 cottage scale 6 large & cottage scale & large & cottage scale 6 large 311-312 Food manufacturing 111,004.9 83,393.5 287,614.7 27,666 172,028 812,015 32.48 29.68 38.30 313 Beverage industries 427.9 1,372.4 20,867.3 39,289 153,901 3,068,686 48.05 39.38 69.17 314 Tobacco manufactures 2,659.9 1,263.4 235,390.1 93,154 90,328 797,982 39.13 26.98 43.41 321 Textiles 12,331.1 16,876.1 220,660.3 12,532 102,624 410,962 39.68 28.43 30.73 322 Wearing apparel 3,715.2 2,215.1 1,439.8 58,005 143,354 205,120 36.93 30.86 37.28 323 Leather manufactures 746.1 820.7 3,263.5 97,701 213,029 483,990 39.30 30.68 22.97 324 Footwear 1,399.0 1,200.7 7,511.1 131,557 198,387 613,577 41.12 44.04 41.51 331 Wood & wood products 29,520.9 11,414.1 26,216.2 11,473 177,697 595,125 59.02 39.80 43.21 332 Furniture & fixtures 9,351.3 5,099.4 2,475.1 47,855 151,949 362,028 48.36 48.01 48.77 341 Paper & paper products 411.5 184.5 18,034.2 43,443 109,697 865,362 50.16 39.24 34.94 342 Printing & publishing 450.0 3,543.3 12,108.0 88,760 219,536 435,086 61.07 45.89 52.83 351 Industrial chemicals - 914.0 10,224.6 - 418,542 1,049,967 - 49.63 46.30 352 Other chemicals 1,240.7 2,976.3 48,392.5 68,921 239,765 678,116 32.85 34.27 34.04 355 Rubber products 811.5 3,490.4 124,338.0 65,810 308,573 834,314 35.96 36.60 30.70 356 Plastic products 990.6 2,198.2 11,279.6 79,736 201,993 337,252 44.49 26.74 27.67 361 Pottery, china & earthernware 1,276.7 228.9 595.2 13,804 83,473 238,296 65.40 52.07 42.76 362 Glass & glass products - 74.8 5,862.5 - 175,385 510,812 - 45.72 44.65 363 Cement, lime 6 products 2,136.9 6,503.7 23,601,6 73,802 148,819 1,069,450 48.67 36.91 52.09 364 Bricks, tiles 6 clay products 11,784.1 2,926.6 1,720.8 50,765 64,516 191,056 61.88 62.16 67.16 369 Non-metallic mineral products 624.8 257.8 464.5 23,461 134,896 360,814 58.79 50.23 66.80 371 Iron 6 steel industries - - 4,639.2 - - 889,175 - - 17.88 372 Non-ferrous metal basic industries - 30.2 14,166.0 - 272,414 2,811,979 - 26.15 22.37 381 Fabricated metal products (except machinery) 5,293.0 5,860.1 40,073.1 63,871 142,883 572,201 47.99 39.41 30.40 382 Machinery, except electrical - 596.7 15,326.1 - 212,121 1,263,343 - 50.44 60.26 383 Electrical machinery, appliances, etc. - 674.4 39,204.5 - 558,228 1,318,973 - 45.77 40.96 384 Transport equipment 622.0 1,687.0 78,786.9 75,494 247,115 1,550,407 67.51 51.79 28.74 385 Scientific,photographic equipment,etc. - 190.8 389.9 - 187,692 332,407 - 38.36 39.86 390 Other manufacturing 4,028.4 1,575.0 19,362.7 31,656 130,951 1,256,957 51.30 45.72 54.49 Total 200,826.5 157,558.0 1,293,786.5 21,171 154.491 720,786 41.11 33.65 36.86 _ _~~~~~~~~~~~~~~~~~~~~~_ _l lW m I Table 5.2 -71- Page 1 INDONESIA NUMBER OF MAN-DAYS, WAGES & SALARIES, VALUE ADDED, GROSS OUTPUT, VALUE ADDED/PERSON ENGAGED AND VALUE ADDED/GROSS OUTPUT (%) AND NO. OF MAN-DAYS BY PROVINCE, i974 Number of man-days ('000) Wages & Salaries (Rp million) Value added (Rp ml lion) Household Small Medium Household Small Medium Household Small Medium Province & cottage scale & large & Cottage scale & large & cottage scale & lar6e Sumatra Aceh 5,132 686 567 176.0 266.6 382.4 2,558.2 888.7 1,557.7 Sumatra, North 5,100 2,858 6,312 337.3 982.5 3,206.7 2,283.7 3,442.3 27,756.5 Sumatra, West 5,770 1,022 1,141 360.8 470.4 1,241.7- 2,264.2 1,117.6 6,330.7 Riau 1,355 762 696 88.9 329.5 517.5 818.8 1,143.5 2,586.5 Jambi 2,310 358 982 250.0 133.3 658.8 1,114.4 448.2 2,546.5 Sumatra, South 3,612 1,479 2,678 248.8 548.5 3,182.0 2,768.7 2,918.0 12,062.3 Bengkulu 995 139 13 40.8 51.8 11.2 376.3 216.9 23.2 Lampung 2,710 592 875 120.7 202.4 661.9 820.6 695.7 4,894.4 Java Jakarta 7,589 3,758 19,921 905.7 1,611.1 22,058.7 5,222.7 4,869.6 92,906.3 Java, West 46,897 11,143 29,135 1,663.4 3,088.5 16,562.2 11,175.5 9,686.9 90,635.7 Java, Central 200,198 13,520 37,647 1,824.5 -3,318.9 14,769.6 22,693.7 9,675.4 72,977.7 Jogyakarta 28,905 1,800 3,447 .244.6 398.8 1,902.7 3,116.3 1,208.7 6,353.6 Java, East 70,549 12,354 51,640 1,742.2 2,834.6 23,025.7 12,462.2 10,198.1 132,326.3 Kalimantan Kalimantan, West 2,631 392 1,930 8.5 53.1 21.9 1,215.1 564.0 9,736.1 Kalimantan, Central 300 216 295 516.3 427.6 1,213.4 119.5 371.4 861.2 Kalimantan, South 7,933 622 824 7.2 96.2 58.5 2,285.5 695.7 1,759.6 Kalimantan, East 287 247 223 86.9 154.2 1,763.4 320.3 465.0 669.3 Sulawesi Sulawesi, North 5,203 40i: 238 13.1 92.9 208.5 3,176.8 373.5 984.1 Sulawesi, Central 99 191, 44 293.9 201.8 633.3 62.2 177.3 440.4 Sulawesi, South 8,458 2,065 1,402 41.9 138.6 205.5 4,652.3 1,266.5 7,631.9 Sulawesi, Southeast 241 265 234 759.9 289.0 92.6 75.5 256.1 109.3 Others Bali 6,050 1,14) 1,468 142.4 256.0 470.5 1,283.3 1,158.6 1,410.7 Nusatenggara, West 6,346 530 724 102.8 108.7 145.6 1,136.9 494.0 621.1 Nusatenggara, East 224 27; 214 3.4 65.2 61.6 47.3 256.4 174.1 Maluku 73 15:! 261 12.3 65.5 112.6 107.3 168.1 855.1 Irian Jaya 471 205 108 43.6 84.6 126.3 407.3 271.1 235.6 Total 429,458 57,17J. 163,020 10,035.9 16,270.3 93,294.8 82,564.5 53,027.5 476.947.2 Table 5.2 -72- Page 2 Gross output (Rp million) Value added (Rp)/person engaged Value added/gross output (M) Household Small Madium Household small Medium Household Small Medium Province & cottage scale 6 large 6 cottage scale 6 large 6 cottage scale 6 large Sumatra Aceh 4,940.4 3,358.1 4,022.1 34,776 177,173 885,937 51.78 26.46 38.72 Sumatra, Nortb 5,836.0 12,973.5 66,825.7 43,576 218,559 1,098,919 39.13 26.53 41.53 Sumatra, West 4,859.3 3,525.2 16,675.1 34,369 144,559 1,476,376 46.59 31.70 37.96 Riau 1,226.0 3,082.1 10,292.9 51,721 239,126 797,318 66.78 37.07 25.12 Jambi 1,710.5 1,734.1 18,352.9 40,673 158,431 688,057 65.15 38.19 13.87 Sumatra, South 5,344.2 7,651.4 41,089.4 71,476 239,475 1,085,618 51.80 38.31 29.35 Bengkulu 717.5 531.2 31.2 25,362 256,080 368,254 52.44 40.83 74.35 Lampung 1,859.8 2,797.5 16,063.3 28,520 191,495 1,133,225 44.12 24.86 30.46 Java Jakarta 12,688.7 13,097.5 288,013.0 90,126 263,079 1,056,438 41.16 37.18 32.25 Java, West 27,443.5 28,326.3 205,186.6 23,657 135,544 777,128 40.72 34.20 44.17 Java, Central 58,976.6 29,483.8 24,218.7 13,893 130,703 493,553 38.47 32.82 32.54 Jogyakarta 9,755.9 3,693.4 20,166.2 11,634 130,094 460,272 31.94 32.73 31.01 Java, East 32,893.3 30,941.9. 304,668.5 21,903 143,318 642,454 37.88 32.96 43.43 Kalimantan Kalimantan, West 3,219.3 1,892.4 26,952.9 31,156 181,701 1,213,675 31.03 29.80 36.12 Kalimantan, Central 234.5 844.8 2,836.4 35,054 246,286 703,595 50.95 43.96 30.36 Kalimantan, South 4,637.1 1,608.5 5,976.3 30,985 188,332 396,843 49.28 43.25 29.44 Kalimantan, East 440.3 1,090.4 1,888.3 95,072 367,009 698,643 72.74 42.64 35.44 Sulavesi Sulawesi, North 7,300.3 880.8 3,555.7 32,355 115,958 971,471 43.51 42.40 27.67 Sulavesi, Central 157.8 330.3 1,499.8 50,040 96,411 2,317,895 39.41 53.68 29.36 Sulavesi, South 8,486.0 3,165.7 19,942.4 22,736 79,941 1,236,135 54.82 40.01 38.26 Sulawesi, Southeast 134.1 376.4 156.9 19,921 95,631 116,153 56.30 68.04 69.66 Others Bali 4,134.5 3,958.1 7,310.4 19,914 205,790 242,764 31.03 29.27 19.29 Nusatenggara, West 2,728.2 1,183.6 3,277.0 14,160 147,551 188,899 41.67 41.74 18.95 Nusatenggara, East 145.7 716.3 404.3 8,803 126,368 221,783 32.46 35.80 43.06 Maluku 192.0 347.4 3,932.0 139,532 196,608 835,875 55.88 48.39 21.74 Irian Jaya 762.9 559.8 448.4 114,700 265,524 309,186 53.38 48.43 52.54 Total 200,826.5 157,558.0 1.293,786.5 21.171 154.491 720.786 41.11 33.65 36.86 INWDNESIA PERCENTAGE DISTRIBUTION OF NUMBER OF ESTABLISHMENTS, NUMBER OF PERSONS ENGAGED, NUMBER OF KAN-DAYS. VALUE ADDED AND GROSS OUTPUT BY INDUSTRY CROUP. 1974 limber of persona en.gaged (total) Number of establishe.ts _ Household 6 cottage Number of man-days Value added Gross output Household Small Medium Household With Small Medium Household Small Medium Household Small Hedium Nousehold Small Medium Industry group 6 cottage scale & large me,mber hired All scale S large I, cottage scale 4 large * cottage scale I large 6 cottage scale S large only labor 311-312 Food manufacturing 34.77 46.82 21.69 35.00 43.79 35.40 41.93 20.50 43.05 38.61 19.53 43.67 46.69 23.09 55.27 52.93 22.23 313 Beverage Industries 0.14 0.86 0.85 0.14 0.15 0.14 1.02 0.71 0.11 1.12 0.54 0.25 1.02 3.03 0.21 0.87 i.61 314 Tobaco .anufactures 0.27 2.70 10.84 0.30 2.14 0.38 1.10 19.35 0.41 0.67 21.74 1.26 0.64 21.42 1.32 0.80 18.19 321 Textilea 10.48 9.65 27.30 10.49 4.75 10.23 13.62 24.94 8.30 15.24 25.84 5.93 9.05 14.22 6.14 10.71 17.06 322 Wearing apparel 0.63 1.30 1.02 0.64 1.49 0.67 1.39 0.40 0.65 1.40 0.40 1.66 1.29 0.11 1.85 1.41 0.11 323 Leather manufactures 0.08 0.32 0.34 0.08 0.69 0.11 0.34 0.23 0.13 0.44 0.23 0.36 0.47 0.16 0.37 0.52 0.25 324 Footwear 0.12 0.75 0.44 0.12 0.78 0.15 0.78 0.77 0.19 0.82 0.72 0.70 1.00 0.65 0.70 0.76 0.58 331 Wood 6 wood products 40.67 6.69 4.54 40.80 9.84 39.40 7.45 2.88 32.50 7.33 2.59 21.11 8.57 2.38 14.70 7.24 2.03 332 Furniture 4 fixturea 2.66 4.63 1.20 0.13 0.22 0.13 0.19 1.10 2.69 5.37 0.50 0.25 0.14 1.32 0.20 0.12 1.39 341 Paper 6 paper products 0.12 0.13 0.85 0.08 0.70 0.11 0.22 2.22 0.13 0.23 1.00 0.33 3.07 1.34 0.22 2.25 0.94 342 Printing & publiahing 0.09 1.66 3.23 - - - 0.32 0.68 0.14 3.10 2.07 - 0.86 0.99 - 0.58 0.79 351 Industrial chemical - 0.25 0.93 0.16 1.18 0.21 1.24 3.62 0.38 0.61 0.49 1.92 3.45 0.62 1.89 3.74 352 Other chemlcals 0.16 1.04 5.22 0.12 1.04 0.16 1.21 6.91 0.16 1.41 3.17 0.35 2.41 8.00 0.40 2.22 9.61 355 Rubber products 0.12 0.94 6.60 0.15 0.64 0.17 0.85 1.40 0.16 1.47 6.71 0.53 1.11 0.65 0.49 1.39 0.87 356 Plastic products 0.35 0.63 1.93 1.62 0.60 1.58 0.42 0.16 0.18 1.07 1.43 1.01 0.22 0.05 0.64 0.14 0.05 361 Pottery, chIna 6 earthernware 1.70 0.42 0.28 - - - 0.06 0.77 1.74 0.37 0.16 - 0.06 0.55 - 0.05 0.45 362 Glass 6 glsaa products - 0.04 0.71 0.38 2.74 0.49 4.70 1.74 - 0.07 0.74 1.26 4.53 2.58 1.06 4.13 1.82 363 Cem.ent, lime S products 0.37 4.72 3.05 3.86 12.67 4.26 8.22 0.91 0.50 4.61 1.75 8.83 3.43 0.24 5.87 1.86 0.13 364 fricks, tiles. clay prod-ts 4.03 8.60 2.55 0.42 0.54 0.43 0.28 0.13 5.27 6.88 0.96 0.44 0.24 0.07 0.31 0.16 0.04 369 Non-etallIc mineral products 0.43 0.22 0.18 - - - 0.006 0.14 0.41 0.30 0.13 - - 0.17 - - 0.36 371 Iron 4 steel industries - 0.004 0.13 - - - 0.006 0.14 - 0.01 0.14 - - 0.17 - - 0.36 372 Non-ferrou. metal basic induastres - 0.008 0.13 - - - 0.008 0.17 - 0.01 0.14 - 0.01 0.66 - 0.02 1.09 381 Fabricated metal product. (except achinery) 1.10 4.70 3.37 1.07 5.51 1.27 4.71 3.22 1.37 5.12 3.04 3.08 4.36 2.55 2.64 3.72 3.10 382 Machinery. escept electrical - 0.34 0.96 - - - 0.41 1.10 - 0.59 1.01 - 0.57 1.94 - 0.38 1.18 383 Electrical machinery, appliances, etc. - 0.13 0.93 - - - 0.16 1.84 - 0.22 1.67 - 0.58 3.37 - 0.43 3.03 384 Transport equipment 0.15 0.88 1.58 0.15 0.38 0.16 1.03 2.21 0.13 1.29 1.92 0.51 1.65 4.75 0.31 1.07 6.09 385 Scie.tific,ph.tographic squipment,eatc. - 0.08 0.18 - - - 0.11 0.07 - 0.16 0.08 - 0.14 0.03 - 0.12 0.03 390 Other asnufactu.lng 1.76 1.47 0.92 1.75 2.75 1.80 1.60 1.27 1.77 1.69 1.14 2.50 1.36 2.21 2.01 1.00 1.50 Total 100.00 100.10 100.00 100.00 100.00 100.00 3IO0.O 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 INDONESIA PERCENTAGE DISTRIBUTION OF NuMBER OF ESTABLISHMENTS, NUMBER OF PERSONS ENGAGED, NUMBER OF MAN-DAYS VALUE ADDED AND GROSS OUTPUT BY PROVINCE, 1974/75 Number of persons enga_ed (total) Number of establishinents Household &_cottage Number of man-days Value added Gross output Household Small Nedium Household With Small Medium Household Small Medium Household Small Medium Household Small Medium Province & cottage scale & large members hired All scale & large & cottage scale 6 large 6 cottage scale & large & cottage scale & large only labor Sumatra Acelha 1.99 1.54 0.35 1.91 1.29 1.89 1.46 0.44 1.19 1.20 0.35 3.10 1.67 0.33 2.46 2.13 0.31 Sumatra, North 1.26 4.12 3.84 1.27 2.79 1.34 4.58 3.82 1.19 5.00 3.87 2.77 6.49 5.82 2.91 8.23 5.17 Sumatra, West 1.86 2.53 0.63 1.65 2.43 1.69 2.24 0.65 1.34 1.79 0.70 2.74 2.11 1.33 2.42 2.24 1.29 Riau 0.39 1.42 0.69 0.40 0.50 0.41 1.39 0.49 0.32 1.33 0.43 0.99 2.16 0.54 0.61 1.96 0.80 Jambi 0.66 0.91 0.42 0.67 1.39 0.70 0.82 0.56 0.54 0.63 0.60 1.35 0.84 0.53 0.85 0.74 1.43 Sumatra, South 0.96 3.99 1.03 0.96 1.62 0.99 3.54 1.68 0.84 2.59 1.64 3.35 5.50 2.53 2.66 4.83 3.18 Bengulu 0.39 0.24 0.04 0.38 0.32 0.38 0.24 0.01 0.23 0.24 0.008 0.46 0.41 0.005 3.57 0.34 0.002 Lampung 0.69 0.98 0.92 0.72 1.19 0.74 1.05 0.65 0.63 1.04 0.54 0.99 1.31 1.03 0.93 1.78 1.24 Java Jakarta 1.32 4.11 12.38 1.32 4.93 1.49 5.39 13.29 1.77 6.57 12.22 6.33 9.18 19.48 6.32 8.31 22.26 Java, West 12.11 20.91 22.54 11.89 16.79 12.11 20.82 17.63 10.92 19.49 17.87 13.54 18.27 19.00 13.67 17.98 15.86 Java, Central 42.19 19.12 22.34 42.78 23.18 41.88 21.57 22.35 46.62 23.65 23.09 27.49 18.25 15.30 29.37 18.71 17.33 Jogyakarta 6.99 2.41 2.19 7.06 2.93 6.87 2.71 2.09 6.73 3.15 2.11 3.77 2.28 1.33 4.86 2.34 1.56 1 Java, East 13.91 23.70 25.65 14.39 18.79 14.59 20.73 31.13 16.43 21.61 31.68 15.09 19.23 27.74 16.38 19.64 23.55 -_j Kalimantan Kalimantan, West 0.98 1.03 0.82 1.02 0.59 1.00 0.90 1.21 0.61 0.69 1.18 1.47 1.06 2.04 1.60 1.20 2.08 Kalimantan, Central 0.08 0.40 0.30 0.09 0.12 0.09 0.44 0.18 0.07 0.38 0.18 0.14 0.70 0.18 0.12 0.54 0.22 Kalimantan, South 1.84 1.06 0.85 1.88 2.03 1.90 1.08 0.67 1.85 1.09 0.51 2.77 1.31 0.37 2.31 1.02 0.46 Kalimantan, East 0.08 0.31 0.32 0.08 0.20 0.09 0.37 0.14 0.07 0.43 0.14 0.39 0.88 0.14 0.22 0.69 0.15 Sulawesi Sulawesi, North 2.36 0.94 0.25 2.20 9.26 2.52 0.94 0.15 1.21 0.70 0.15 3.85 0.70 0.21 3.64 0.56 0.27 Sulawesi, Central 0.03 0.61 0.07 0.03 0.06 0.03 0.54 0.03 0.02 0.33 0.03 0.08 0.33 0.09 0.08 0.21 0.12 Sulawesi, South 5.37 5.25 1.61 5.22 5.88 5.25 4.62 0.93 4.30 3.61 0.86 5.63 2.39 1.60 4.23 2.01 1.54 Sulawesi, Southeast 0.10 0.80 0.42 0.10 0.06 0.10 0.78 0.14 0.06 0.46 0.14 0.09 0.48 0.02 0.07 0.24 0.01 Others Ball 1.75 1.47 0.89 1.65 1.73 1.65 1.64 0.88 1.41 2.00 0.90 1.55 2.18 0.30 2.06 2.51 0.57 Nusatenggara, West 2.43 1.15 0.94 2.08 1.63 2.06 0.98 0.50 1.48 0.93 0.44 1.38 0.93 0.13 1.36 0.75 0.25 Nusatengarra, East 0.15 0.55 0.20 0.14 0.04 0.14 0.59 0.12 0.05 0 48 0.13 0.06 0.48 0.04 0.07 0.45 0.03 Maluku 0.02 0.21 0.14 0.02 0.06 0.02 0.25 0.15 0.02 0.27 0.16 0.13 0.32 0.18 0.10 0.22 0.30 Irian Jaya 0.08 0.25 0.17 0.09 0.18 0.09 0.30 0.12 0.11 0.36 0.07 0.49 0.51 0.05 0.38 0.36 0.03 Total 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 1l)1.0O 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.0( -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~a -75- L~~~~~~~~~~~~~~~ablIe 7 Page I INDONESIA NUMBER OF ESTABL.ISHMENTS, N4UMBER OF PERSONS ENGAGED, VALUE ADDED. *GROSS OUTPUT, LABOR PRODUCTIV'ITY, VALUE ADDED/GROSS OUTPUT, NUMBER OF DAYS/PERSONS ENGAGED. AND WAGES ANI8) SALARIES PER MANl-DAY BY MAJOR INDUSRTRES AND gpmhEIFFS. 194 No. o01 Establishments No. of persons engalged Value added (Rp jjn.) Cross output (Rp aml.) Division/Industries CI Si MLI CI Si 30.1 CI ST MLI CI Si MIL 31 Food. Beverages and Tobacco 434, 28' 24,27 2.367 1.401.177 151.194 26,8 37.300 2563 22,5 11403 86,029 54,7 31120 Dairy products 1,434; 988 18 5,625 6,797 1,202 364 941 5,687 77 3 2,034 19,595 31140 Fish preserved & canned 4,66;' 544 67 15,905 3,409 6,417 1,276 330 2,284. 4,383 L,224 12,386 31151 Coconut oil 9.59', 468 95 32,447 3,781 5,550 788 1,463 2,751 3.373 6.552 32,317 31152 Vegetable oils 38 9 - 344 495 - 221 294 - 1.310 3,163 31159 Vegetable & animal fat 979 53 17 3,427 334 1,649 170 38 11.536 498 336 20,461 31161/62 Rice, cleaned & polished 13,362 10,926 179 54,870 64,148 4,972 7,086 L1,592 1,670 19,395 36,183 11,045 31163 Coffee, cleaned 73 62 - 663 5,282 - 2,384 - - 6,224 31164 Wheat flour - 3 - - 1,059 - - 6,364 - - 22,882 31169 Other grain products 24,8711 486 97 83,912 3,367 4,207 3,487 746 2,187 11,073 3,392 9,955 31179 Bakery products 6,2311 1,015 132 23,287 7,500 7.161 1,386 1,646 1,344 4.816 4.749 3,862 31181 Refined sugar 240,8711 1 54 - - 55,717 - - 56,690 - - 101,735 31182 Raw sugar - 1.243 43 730,223 6,383 2,343 8.795 347 531 15,567 1,143 I,b40 31210 Other flour 5,011 840 137 13,760 5.961 3,953 333 620 2,296 754 2.289 3,126 31220 Tea 8311 368 135 3,602 2,747 14,677 105 315 8,650 463 1,875 1 6 ,7 57 31242 Tahu, tempe, etc. 61,5811 1,106 16 203,692 6,463 398 6.523 814 97 28,814 3,525 394 31250 Krupuk, kerak, etc. 25,261 2,083 55 88,751 14.835 1.566 2,516 1,307 168 8,626 4,359 438 31260 Co.:fee powder 200 12 - 1,369 5.46 - 1.136 163 - 2,941 461 31290 Food products NI.E.C. 31,60? 880 75 106,846 5,196 2,462 2,231 574 359 7,918 2,058 1,380 31330 Malt liquors 4 3 - 26 1,779 - - 10,772 - - 13,824 31420 Clove cigarettes 99 168 - 758 81,161 137 54,372 - 573 158,005 31430 Cigarectes - 26 17 - 273 6,108 - 17 41,267 - 50 59,305 32 Textiles, Wearing Apparel and Leather 139 *683 5,792 2,6 435j14 5537 174246 7,133 6,6 72,213 18,191 21,113 232,81 32111 Yarn & thread 3,27.3 33 45 11,097 274 20,731 271 65 12,654 780 152 4 9 ,3 13 32112 Woven products except jute 37,439) 2,232 1,216 114,282 22,800 100,483 1,250 1,493 44,614 3.660 5,489 138.448 32114 Batik 49,61:8 1,594 342 152,934 16,469 13,105 1,765 2,051 2,757 4,347 7,469 9,457 32210 Wearing apparel 6,314 524 56 21,761 3,922 1,937 1,263 580 404 3,413 1.899 1,079 32400 Footwear 1,46) 363 31 5,756 2,666 5,082 575 529 3,118 1.399 1,201 7,511 33 Wood and Wood Products 53,6 6,456 407 1,644.004 4168 2236 2194 69 1253 38,872 16,514 28,61 33111 Saw 6 Wood mills 14,9835 2,248 215 51,136 18,336 14,519 4,358 3,617 9,154 7,529 9,129 21,376 33130 Bamboo, rattan & willow pleats 476,895 341 44 1,451,194 2,481 822 11,798 89 42 19.525 179 78 33210 Wooden furniture 24,623) 1,947 85 81,280 14,440 3,334 14,192 2,329 1,207 8,774 4,873 2,i75 34 Paper. Printing and publishing 2.623 867 289 9,47 8.067 21,982 48 1,9 12,69 862 3,728 3014 34200 Printing 6 publishing 1,104 802 229 4,334 7,407 14,701 275 1,626 6,396 4~50 3,543 12,108 35 Chemicals and Chemical Products 5,317 1,37 899 20,946 12.390 8380 1,4 3234 6249 3,043 9,7 192 35221 Medicine 33 69 - 405 7,858 - 170 7,795 - 405 17.194 35231 Soaps, detergents, etc.- 226 36 - 1,875 3,272 - 410 3,127 - 1,480 16,539 35510 Tires & tubes - 14 35 - 120 5,139 - 46 7,828 - 118 19,773 35523 Crumb rubber - 1 59 - 14 10,991 - - 11,371 - - 60,864 35600 Plastic products 1,792 302 137 6,658 2,910 9,256 441 588 3,122 991 2.198 11,280 36 Non-Metallic Mineral Products 80,598 6J749 482 263,203 46,916 24 597 9,535 4,503 16.632 1582 9,992 32i245 36310 Cement * - 3 ~ ~ - - ,0 - - 9,280 - - 17,013 36320 Cement products - 802 151 - 7,773 6,800 - 1,664 2,680 - 3.952 5,619 36330 Lime 3,588 1,471 62 15,169 8,360 1,689 632 737 334 1,327 2,552 970 36410 Bricks 17,390 2,196 61 62,012 14,462 1,668 4,240 1,090 330 6,798 1,716 486 36420 Roofing tiles 31,289 1,896 120 100,580 13,365 4,381 2,988 692 826 4,855 1,135 1,235 37 Basic Metals - 6 18 - 50 2.060 - 8 399 - 30 1880 38 Metal Products and Machinery i54~ ,5 498 55,773 22,063 55.867 2.960 3,866 60,.328 5,15 20_ 9, 173,781 38130 Structural metal products - 261 57- 1,984 6,900 - 416 6,360 - 973 22,4111 38200 Machinery, except electrical - 162 68 - 1,419 7,311 301 9,236 - 597 15,326 38320 Communica?tion equipment - 9 17 - 70 4,368 - - 15 6,578 - 30 20,338 38330 Electrical supplies - 20 25 - 191 3,976 - 89 7,451 - 222 13,892 38411 Ship/boat building/repairing 1,646 90 32 5.371 636 5,469 345 187 5,219 490 327 11,178 38440 Motorcycles - 10 7 - 58 2,018 - 6 10,700 - 11 55,237 39 Other Manufacturied Products 21,709 708 65 701 1 5 49 9 2.067 720 j9 551 4 028 57 19,363 Total 1,234,51 481 7,091 3,899,856 34,240 661,704 82,564 53,07 476,947 20,2 157j,j58 _1937 -76- Table 7 Page 2 Labor productivity Value added! No. of days! Wages & salaries D3ivision/Industries Rtp'000/year output (Z persons engaged Rp/man-day CI Si NL-I CI Si MLI CI Si MLI CI Si MLI 31 Food, Beverages and Tobacco 27 170 845 32.69 29.80 41.69 133 207 253 234 265 435 31120 Dairy products 65 13-8 4 ,73-1 47.09 46.26 29.02 133 2T30 1F84- 179 2101 2,474 31140 Fish preserved 6 canned 80 97 356 29.11 26.96 18.44 101 146 249 308 237 289 31151 Coconut oil 24 387 496 23.36 22.33 8.51 105 226 223 218 331 597 31152 Vegetable oils - 642 594 - 16.87 9.29 - 217 210 - 1,296 763 31159 Vegetable & animal fat 50 114 6,996 34.14 11.31 56.38 93 117 246 172 328 1,073 31161/62 Rice, cleaned & polished 129 181 336 36.54 32.04 15.12 120 222 227 243 251 362 31163 Coffee, cleaned - - 451 - - 38.30 - 196 237 - 628 324 31164 wheat flour - - 6,009 - - 27.81 - - 232 - - 1,898 31169 Other grain products 42 222 520 31.49 21.99 21.97 51 175 266 488 419 292 31179 Bakery products 60 219 188 28.78 34.66 34.80 135 245 249 189 284 315 31181 Refined sugar - - 1,017 - - 55.72 - - 230 - - 812 31182 Raw sugar 12 54 227 56.50 30.36 33.10 150 109 242 120 261 378 31210 Other flour 24 104 581 44.16 27.09 73.45 93 144 233 166 324 261 31220 Tea 29 115 589 22.68 16.80 51.62 88 205 216 217 225 387 31242 Tahu, tempe, etc. 32 126 244 22.64 23.09 24.62 145 287 279 171 222 377 31250 Krupuk, kerak, etc. 28 88 107 29.17 29.98 38.36. 120 220 251 166 198 227 31260 Coffee powder - 830 299 - 38.63 35.36 - 236 228 - 320 334 31290 Food products N.E.C. 21 111 146 28.18 27.89, 26.01 108 198 248 142 224 291 31330 Malt liquors - - 6,055 - - 77.92 - - 195 - - 3,722 31420 Clove cigarettes - 181 670 - 23.91 34.41 - 168 276 - 213 228 31430 Cigarettes - 62 6,756 - 34.00 69.58 - 157 216 - 108 1,587 32 Textiles, Wearing Apparel and Leather 16 113 414 39.21 29.66 31.01 92 221 254 207 237 458 32111 Yarn & thread 24 23-7 61-0 34.74 42.76 25.66 74 T223 2~49 1i 75- 222 905- 32112 Woven products except jute 11 74 444 34.15 30.84 32.22 86 222 259 141 175 368 32114 Batik 12 125 210 40.60 27.46 29.15 89 218 266 132 269 301 32210 Wearing apparel 58 148 209 37.01 30.54 37.44 108 211 252 295 326 419 32400 Footwear 100 198 614 41.10 44.05 61.35 142 212 230 405 436 1,242 3 3 Wood and Wood Plroducts 13 168 560 56.46 42.34 43.69 92 217 225 324 37 2 762 33111 Saw & Wood mills 85 19-7 6~30 5~7. 88 3~9.62 -42.82 98 1f9-1 2~17 490- 4~09 834 33130 Bamboo, rattan & willow pleats 8 36 51 60.41 49.72 53.85 90 208 212 132 152 185 33210 Wooden furniture 52 161 3,601 47.78 47.79 48.77 110 243 246 301 381 660 34 Paper, Printing and Publishing 51 211 578 55.80 45.57 42.12 125 267 227 264 349 777 34200 Printing & publishing 63 420 ~ 3-5 61.11 45.89 52.82 141 27-1 f229 2f29 3i60 6~36 35 Chemicals and Chemical Products 54 270 746 37.46 34.87 '32.17 101 230 232 249 326 758 35221 Medicine - 420 992 - 41.98 45.34 - 276 178 - 1,153 1,862 35231 Soap, detergents, etc. - 219 956 - 27.70 18.91 - 218 251 - 265 1,417 35510 Tires & tubes - 383 1,523 - 38.98 39.59 - 226 226 - 382 1,594 35523 Crumb rubber - - 1,035 - - 18.68 - 360 266 - 602 656 35600 Plastic products 66 202 337 44.50 26.75 27.68 113 244 251 259 304 450 36 Non-Metallic Mineral Products 36 96 676 60.26 45.07 51.58 129 187 248 254 257 739 36310 Cement - - 3,086 - - 54.55 - - 2-47 - -- 2),467 36320 Cement products - 214 394 - 42.11 47.70 - 234 24 - 328 518 36330 Lime 42 88 198 47.63 28.88 34.43 114 157 276 265 275 285 36410 Bricks 68 75 198 62.37 63.52 67.90 129 173 242 317 252 307 36420 Roofing tiles 30 52 189 61.54 60.97 66.88 142 187 265 169 195 254 37 Basic Metals 160 1,941 26.67 21.27 - 282 222 - 369 1,1913 38 Metal Products and Machinery 53 175 1,079 50.04 42.91 34.69 115 237 225 268 339 1,026 38130 Structural metal products - 210 922 - 42.75 28.38 - 259 199 - 390 1,210 38200 Machinery, except electrical - 212 1,263 - 50.42 60.26 - 277 225 - 389 867 38320 Communication equipment - 214 1,506 - 50.00 32.34 - 229 212 - 524 1,588 38330 Electrical supplies - 466 1,874 - 40.09 53.64 - 246 215 - 303 1,455 38411 Ship/boat building/repairing 64 294 954 70.41 57.19 46.69 81 226 218 376 554 1,483 38440 Motorcycles - 103 5,302 - 54.55 19.37 - 275 199 - 257 2,352 39 Other Manufacturied Products 29 131 1,5 51.32 45.71 54.49 108 222 222 265 308 58 Total 21 154 72 1 41.11 33.66 36.86 110 213 246 255 28 5 57 2 -77- Table 8 INDONESIA SMALL-SCALE INDUSTRY SUBSECTOR REPORT Percentage Distribution of Number of Establishments, Number of Persons Engaged, Value Added & Gross Output by Malor Industries, 1974 Number of Number of Division/industries establishments persons enga%ted Value added Grass output CI Si M41I CI Si MLI CI Si MLI CI Si MLI 31 Food, Beveragtes & Tobacco 35.18 50.38 33.38 35.93 44.05 40.56 45.18 48.35 47.54 56.81 54.60 42.04 31120 Dairy products 0.11 2.05 0F. 25 0j. 14 -1.98- 0.1-8 0.44 1.77 C1.9 0.f3-8 1 .29 1.51 31140 Fish, preserved & canned 0.38 1.13 0.94 0.41 0.99 0.97 1.55 0.62 0.48 2.18 0.78 0.96 31151' Coconut oil 0.78 0.97 1.34 0.83 1.10 0.84 0.95 2.76 0.58 1.68 4.16 2.50 31152 Vegetable oils - 0.08 0.13 - 0.10 0.07 - 0.42 0.06 - 0.83 0.24 31159 Vegetable & animal fat 0.08 0.11 0.24 0.09 0.10 0.25 0.21 0.07 2.42 0.25 0.21 1.58 31161/62 Rice, cleaned & polished 1.08 22.67 2.52 1.41 18.69 0.75 8.58 21.86 0.35 9.66 22.96 0.85 31163 Coffee, cleaned - 0.15 0j7 - 0.19 0.80 - - 0.50 - - 0.48 31164 Wheat flour - - 0.04 - - 0.16 - 1.33 1.77 31169 other grain products 1.97 1.01 1.37 2.15 0.98 0.64 4.22 1.41 0.46 5.51 2.15 0.77 31179 Bakery products 0.51 2.11 1.86 0.60 2.19 1.08 1.68 3.10 -0.28 2.40 3.01 0.30 31181 Refined sugar - 0.00 0.76 - - 8.42 - - 11.89 - - 7.86 31182 Rav sugar 19.51 2.58 0.61 18.72 1.86 0.35 0.65 0.65 0.11 7.75 0.73 0.12 31210 other flour 0.41 1.74 1.93 0.35 1.74 0.60 0.40 1.17 0.48 0.38 1.45 0.24 31220 Tea 0.07 0.76 1.90 0.09 0.80 2.22 0.13 ~0.59 1.81 0.23 1.19 1.30 31242 Tahu, tampe, etc. 4.99 2.30 0.22 5.22 1.88 0.06 7.90 1.54 0.02 14.35 2.24 0.03 31250 Krapuk. kerak, etc. 2.05 4.32 0.78 2.28 33.46 0.24 '3.05 2.46' 0.04 4.30 2.77 0.03 31260 Coffee powder - 0.42 0.17 - 0.40 0.08 - 2.14 0.03 - 1.87 0.04 31290 Food products N.E.C. 2.56 1.83 1.06 2.74 1.51 0.37 2.70 1.08 0.08 3.94 1.31 0.11 31330 Malt liquors - 0.01 0.04 - 0.01 0.27 - - 2.26 - - 1.07 31420 Clove cigarettes - 0.21 2.37 - 0.22 12.27 - 0.26 11.40 - 0.36 12.21 31430 Cigarettes - 0.05 0.24 - 0.08 0.92 - 0.03 8.65 0.03 4.58 32 Textiles, Wearing Appaerl &Leather 11.31 12.02 29.13 11.16 16.13 26.33 8.64 11.81 15.14 9.06 13.40 18.00 32111 Yarn & threat 0.27 0.07 0.63 028 0.0 313 0.3-3 0.1-2 2.65 0.3-9 0.10 3.81 32112 Woven products except jute 3.03 4.63 17.15 2.93 6.64 15.19 1.51 3.19 9.35 1.82 3.48 10.70 32114 Batik 4.02 3.31 4.82 3.92 4.80 1.98 2.14 3.87 0.58 2.16 4.74 0.73 32210 Wearing apparel 0.51 1.09 0.79 0.56 1.14 0.29 1.53 1.09 0.08 1.70 1.21 0.08 32400 Footwear 0.11 0.75 0.44 0.15 0.78 0.77 0.70 1.00 0.65 0.70 0.76 0.58 33 Wood &Wood Products 43.32 11.32 5.74 42.16 12.14 3.38 26.58 13.19 2.63 19.36 10.48 2.22 33111 Saw &wood mills 1.21 4T.66 3. 03 -1.31 5.34 2.1-9 5. 28 6. 82 1.9-2 3. 75 5.7 9 1.65 33130 Bamboo, rattan & willow pleats 38.63 0.71 0.62 37.21 0.72 0.12 14.29 0.17 0.01 9.74 0.11 0.01 33210 Wooden furniture 1.99 4.04 1.20 2.08 4.21 0.50 17.19 4.39 0.25 4.37 3.09 0.19 34 Paper. Printing & Publishing 0.13 1.80 4.08 0.24 2.35 3.32 0.10 3.20 2.66 0.43 2.37 2.33 34200 Printing & publishing T0.08 1.6-6 3.2-3 0.1-1 2.16 2. 22 03-3 3.07 13-4 0.2-2 0.34 0.94 35 Chemicals & Chemical Products 0.43 2.86 12.68 0.54 3.61 12.66 1.38 6.30 13.10 1.52 6.08 15.01 35-221 Medicine - 0.07- 0.97 7 01-2 r1.9 - 0.3 2 - 163 0.72-6 1.33 35231 Soaps, detergents, etc. - 0.47 0.51 - 0.55 0.49 - 0.77 0.66 - 0.94 1.28 35510 Tires & tubes - 0.03 0.49 - 0.03 0.78 - 0.09 1.64 - 0.07 1.53 35523 Crumb rubber - 0.00 0.83 - 0.00 1.66 - - 2.38 - - 4.70 35600 Plastic products 0.14 0.63 1.93 0.17 0.85 1.40 0.53 1.11 0.65 0.49 1.40 0.87 36 Non-metallic Mineral Products 6.53 14.01 6.80 6.75 13.67 3.72 11.55 8.49 3.49 7.88 6.34 2.49 36-310 Cement - - 0.04 - - 0.4-5 - - 1.95 - - 1.31 36320 Cement products - 1.66 2.13 - 2.26 1.03 - 3.14 0.56 2.51 0.43 36330 Lime 0.29 3.05 0.87 0.39 2.44 0.26 0.77 1.39 0.07 0.66 1.62 0.07 36410 Bricks 1.40 4.56 0.86 1.59 4.21 0.25 5.14 2.06 0.07 3.39 1.09 0.04 36420 Roofing tiles 2.53 3.93 1.69 2.58 3.89 0.66 3.62 1.30 0.17 2.42 0.72 0.10 37 Basic Metals - 0.01 0.25 - 0.01 0.31 - 0.02 0.84 - 0.02 1.45 38 Metal Products & Machinery 1.25 6.13 7.02 1.43 6.43 8.44 3.59 7.29 12.64 2.95 5.72 13.43 38 130 S-gtructural metal products 0.65-4 0.8-0 - 0.-58 -1.04 - 0.7-8 1.34 -- 0.62 1.3 38200 Machinery, except electrical - 0.34 0.96 - 0.41 1.10 - 0.57 1.94 - 0.38 1.18 38320 Communication equipment - 0.02 0.24 - 0.02 0.66 - 0.03 1.38 - 0.02 1.57 38330 Electrical supplies - 0.04 0.35 - 0.06 0.60 - 0.17 1.56 - 0.14 1.07 38411 Ship/boat building/repairing 0.13 0.19 0.45 0.14 0.19 0.83 0.42 0.35 1.09 0.24 0.21 0.86 38440 motorcycled - 0.02 0.10 - 0.02 0.30 - 0.01 2.24 0.01 4.27 39 other Manufactured Products 1.76 1.47 0.92 1.80 1.60 1.27 2.50 1.36 2.21 2.01 1.00 1.50 Total 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 -78- Table 9 INDONESIA PERCENTAGE DISTrRIBUTION OF NO. OF PERSONS ENGAGED, VALUE ADDED AND GROSS OUTPUT, AND INDEX OF LABOR PRODUCTIVITY BY SEGMENTS AND MAJOR INDUSTRIES, 1974 (All Manufacturing: 100.0) -----------~-- -Prcentage Distribution --Index of No. of persons engaged Value added Gross output Labor productivity Diviaion/industries CI Si MiLI CI St biLl CI Si bLl CI Si bLI 31 Food. Beverages ankd Tobacco 77.0 8.3 14.7 12.9 8.9 78.3 15.3 11.6 73.1 17.0 106.9 531.4 31120 Dairy products 413 499 8. .2 1.5- 81.3 3. 9.1 87.5 12.7 2T6.9 9f22 .2 31140 Fish preserved & canned 61.8 13.3 24.9 32.8 8.5 58.7 24.4 6.8 68.8 53.0 64.2 235.8 31151 Coconut oil. 77.7 9.1 13.3 15.8 29.3 55.0 8.0 15.5 76.5 20.0 322.5 413.3 31152 Vegetable oils - 41.0 59.0 - 42.9 57.1 - 29.3 70.7 - 104.6 96.7 31159 Vegetable & animal fat 63.4 6.2 30.5 1.5 0.3 98.2 2.3 1.6 96.1 2.3 5.2 322.1 31161/62 Rice, cleaned & polished 44.3 51.7 4.0 34.8 57.0 8.2 29.1 54.3 16.6 78.7 110.4 204.9 31163 Coffee, cleaned - 11.2 88.9 - 100.0 - - 100.0 - - 100.0 31164 Wheat flour - - 100.0 - - 100.0 - - 100.0 - - 100.0 31169 Other grain products 91.7 3.7 4.6 54.3 11.6 34.1 45.3 13.9 40.8 60.0 317.1 742.9 31179 Bakery products 61.4 19.8 18.9 31.7 37.6 30.7 35.9 35.4 28.8 52.2 190.4 163.5 31181 Refined sugar - - 100.0 - - 100.0 - - 100.0 - - 100.0 31182 Raw sugar 98.8 0.9 0.3 90.9 3.6 5.5 85.0 6.2 8.8 92.3 415.4 1,746.0 31210 Other flour 58.1 25.2 16.7 10.3 19.1 70.7 12.2 37.1 50.7 17.5 75.9 424.1 31220 Tea 17.1 13.1 69.8 1.2 3.5 95.4 2.4 9.8 87.8 6.7 26.7 136.7 31242 Tahu, tempe, etc. 96.7 3.1 0.2 87.8 11.0 1.3 88.0 10.8 1.2 91.4 360.0 697.1 31250 Rrupuk, kerak, etc. 84.4 14.1 1.5 63.0 32.8 4.2 64.3 32.5 3.3 73.7 231.6 281.6 31260 Coffee powder - 71.5 28.5 - 87.5 12.6 - 86.5 13.6 - 122.4 44.1 31290 Food products N.E.C. 93.3 4.5 2.2 70.5 18.1 11.4 69.7 18-.1 12.2 75.0 396.4 521.4 31330 Malt liquors - 1.4 98.6 - - 100.0 - 100.0 - - 100.0 31420 Clove cigarettes - 0.9 99.1 - 0.3 99.8 - 0.4 99.6 - 27.2 100.8 31430 Cigarettes - 4.3 95.7 - 0.0 100.0 - 0.1 99.9 - 1.0 104.4 32 Textiles, Wearing Apparel and Leather 65.5 8.3 26.2 8.3 7.3 84.4 6.7 7.8 85.6 12.4 87.6 320.9 32111 Yarn & thread 34 .6 0.79 64_.6 2-.1 0 .5 97 .4 1.-6 0-.3 '98.2 -5.9 -58.5 150.6 32112 Woven products except jute 48.1 9.6 42.3 2.6 3.6 93.8 2.5 3.7 93.8 5.5 37.0 222.0 32114 Batik 83.8 9.0 7.2 26.9 31.2 41.9 20.4 35.1 44.5 33.3 347.2 583.3 32210 Wearing apparel 78.8 14.2 7.0 56.2 25.8 18.0 53.4 29.7 16.9 71.6 182.7 2 58 .0 32400 Footwear 42.6 19.7 37.6 13.6 12.5 73.9 13.8 11.9 74.3 31.9 63.3 196.2 33 Wood and Wood Products 96.3 2.4 1.3 52.9 16.9 30.2 46.2 19.6 34.1 54.2 700.0 2,3. 33111 Saw 6 Wood mills 60-.9 21. 178 iT.-3 25.4 21 .1 533.4 -19.8 24.0 5-6.2 '4 1.7 9§6.6 308.8 33130 Bamboo, rattan & villow pleats 99.8 0.2 0.1 98.9 0.7 0.4 9.7 0.9 0.4 100.0 450.0 637.5 33210 Wooden furniture 82.0 14.6 3.4 54.2 30.1 15.6 54.4 30.2 15.4 66.7 206.4 4,617.0 34 Paper, Printing and Publishing 24.0 20.4 55.6 3.2 11.4 85.3 2.5 10.7 86.8 13.6 56.1 153.7 320 Printing & publishing 1. 280 56 33 196 77. . 20 7. 01 7. 3. 35 Chemicals and Chemical products 17.9 10.6 71.5 1.7 5.0 93.3 1.5 4.6 93.9 9.4 47.2 130.4 35 2 21 Medicine - 4.9 95. 7 - 2.1 97.9 -- 2.3 97.77 - '43.6 102.9 35231 Soap, detergents. etc. - 36.4 63.6 - 11.6 88.4 8.2 91.8 - 31.9 139.2 35510 Tires & tubes - 2.3 97.7 - 0.6 99.4 - 0.6 99.4 - 25.6 101.7 35523 Crumb rubber - 0.1 99.9 - - 100.0 - - 100.0 - - 100.0 35600 Plastic products 35.4 15.4 49.2 10.6 14.2 75.2 6.8 15.2 78.0 30.1 92.2 153.9 36 Non-Metallic Mineral Products 78.6 14.0 7.3 31.1 14.7 54.2 27.3 17.2 55.5 39.1 104.3 734.8 36310 Cement - I- 100.0 - - I100.0 o -- - 1T00.0 - - 100.0 36320 Cement products - 53.3 46.7 - 38.3 61.7 - 41.3 58.7 - 71.8 132.2 36330 Line 60.2 33.2 6.7 37.1 43.3 19.6 27.4 52.6 20.0 61.8 129.4 291.2 36410 Bricks 79.4 18.5 2.1 74.9 19.3 5.8 75.5 19.1 5.4 94.4 104.2 2 7 5.0 36420 Roofing tiles 85.0 11.3 3.7 66.3 15.4 18.3 67.2 15.7 17.1 78.9 136.8 497.4 3 7 Basic Metals - 2.4 97.6 - 0.2 99.8 - 0.2 99.8 - 8.4 102.2 38 Metal Products and Machinery 41.7 16.5 41.8 4.4 5.8 89.8 3.1 4.8 92.1 10.6 34.9 214.9 38130 Structural metal products 22.3 77.7 - 6.1 93.9 - 4.2 95.8 - 27.5 120.8 38200 Machinery, except electrical - 16.3 83.7 - 3.2 96.8 - 3.7 96.3 19.4 115.7 38320 Communication equipment - 1.6 98.4 - 0.2 99.8 - 0.1 99.9 - 14.4 101.3 38330 Electrical supplies - 4.6 95.4 - 1.2 98.8 - 1.6 98.4 - 25.8 103.6 38411 Ship/boat building/repairing 46.8 5.5 47.7 6.0 3.3 90.7 4.1 2 .7 93.2 12.8 58.7 190.4 3b440 Motorcycles - 2.8 97.2 - 0.1 99.9 - 0.0 100.0 - 2.0 102.8 39 Other Manufactured Products 83.5 6.5 10.0 15.5 5.4 79.1 16.1 6.3 77.6 1.8 8.3- 79.2 Total 79.5 7.0 13.5 13.5 8.7 77.9 12.2 9.5 78.3 16.8 123.2 576.8 INDONESIA NUMBER OF ESTABLISHMENTS BY INDUSTRIES, 1974 Household Small Medium Household Small Medium Household Small Medium Household Small Medium Industry 6 cottage scale & large Total I Industry & coLtage scale &larg. Total I Industry &Cottage scale large Total I Industry BCOttage scale &large Total 31111 - 91 5 96 I 32111 3,278 33 45 3,356 1 35110 - 20 33 53 I 36900 5,252 106 13 5,371 31112 - 25 8 33 I 32112 37,4 39 2,232 1,216 40,887 I 35120 - I - I 1 31121 1 43/4 2 7 1,443 I 32113 - 136 A ? 53 - -- 96: ?C - 2~ 31122 - 986 II 997 1 32114 49,618 1,594 342 51,544 1 35140 - 43 24 67 I 31130 - 19 5 24 I 32115 4,444 - 10 4,454 I 1 37200 - 4 9 13 31140 4,667 544 67 5,278 I 32120 11,013 414 89 11,516 I 35210 - 47 25 72 I 31151 9,595 468 95 10,158 I 32130 1,217 101 III 1,429 I 35221 - 33 69 102 I 38111 5,090 894 IS 5,999 31152 - 38 9 47 I 32140 - 1 3 4 1 35222 - 45 8 53 I 38112 3,727 17l 34 3,932 31159 979 53 17 1,049 I 32150 21,752 99 17 21,868 I 35231 - 226 36 262 1 38113 - 106 29 135 31161/62 13,362 10,926 179 24,467 1 32160 - 39 58 97 I 35232 - 1 7 8 I 38114 - 224 36 260 31163 - 73 62 135 I 32190 - - 4 4 I 35233 - 38 29 67 I 38120 - 315 25 340 31164 - - 3 3 I I 35290 - 113 54 167 I 38130 - 261 57 318 31169 24,328 486 97 24,911 1 32210 6,314 524 56 6,894 I I 38140 - 63 36 99 31171 - 565 164 729 1 32290 1,483 100 16 1,599 I 35300 - I - I 1 38190 1,654 231 9 1,894 31179 6,238 1,015 132 7,385 1 I 31181 - 1 54 55 I 32310 - 53 27 80 I 35400 - 2 - 2 I 38200 - 162 68 230 31182 240,878 1,243 43 242,164 I 32330 902 102 - 1,004 1 31190 - 12 29 411 I 35510 - 14 35 49 I 38311 - 26 9 35 I 32400 1,469 363 31 1,863 I 35521 - 226 34 260 I 38312 - 3 11 14 31210 5,011 840 137 5,988 I 1 35522 - 86 297 383 1 38320 - 9 17 26 31220 830 368 135 1,333 I 33111 14,981 2,248 215 17,444 I 35523 - 1 59 60 I 38330 - 20 25 45 31230 - 250 71 321 I 33112 3,183 196 23 3,402 I 35590 - 127 43 170 I 38340 - 5 4 9 31241 - 240 29 269 1 33113 - 1 7 8 1 31242 61,586 1,106 16 62,708 1 33120 1,055 172 9 1,236 1 35600 1,792 302 137 2,231 I 38411 1,646 90 32 1,768 31249 - II - I1 33130 476,896 341 44 477,281 I I 38420 - 2 4 6 31250 25,261 2,083 55 27,399 I 33140 2,752 101 8 2,861 I 36110 532 17 8 557 1 384 30 - 130 31 161 31260 - 200 12 212 I 33190 3,194 165 16 3,375 I 36120 19,323 91 - 19,414 I 38440 - 10 7 17 31270 - 2 10 1 2 I 36190 1,155 96 12 1,263 I 38450 - 72 18 90 31280 - 32 II 43 I 33210 24,620 1,947 85 26,652 1 I 38460 - 90 20 110 31290 31,607 880 75 32,562 I33220 7,733 101 - 7,834 I 36210 - 14 50 64 I 38490 - 32 - 32 133290 - 184 - 184 136220 - 7 - 7 1 31310 1,172 44 6 1,222 I I 38500 - 40 13 53 3i320 - 69 12 81 I 34111 - I 21 22 I 36310 - - 3 3 1 31330 - 4 3 7 1 34112 - 33 20 53 I 36320 - 802 151 953 1 39010 2,700 113 7 2,820 31340 - 299 39 338 I 34120 480 21 1 4 515 1 36330 3,588 1,471 62 5,121 I 39020 - 25 4 29 1 34190 896 10 5 911 I 1 39030 - 70 10 80 31410 2,238 1,126 569 3,933 I 1 36410 17,390 2,196 61 19,647 I 3904G - 29 - 29 31420 - 99 168 267 I 34200 1,104 802 229 2,135 i 3b420 31,269 1,896 1211 33,305 I 39060 - 14 - 14 31430 - 26 17 43 I I 36490 1,114 53 - 1,167 1 39090 30,293 457 44 30,794 31490 - 49 IS 641 I 1 Total 1.234.511 4816 ,91 ,29,8 N.As: The d-scription of InduStries by the five digit codes ts given on pages INDONESIA NUMBER OF PERSONS ENCAGED BY INDUSTRIES, 1974 Household Small Medium I Household Small Medium I Household Sma11 Medium I Household Small Medium Industry & cottage scale & large Total I Industry 6 cottage scale & large Total I Industry & cottage scale & large Total I Industry 6 cottage scale 4 large Total 31111 - 645 274 919 1 32111 11,097 274 20,731 32,102 1 35110 - 129 2,811 2,940 1 36900 16,617 960 860 18,437 31112 - 180 830 1,010 1 32112 114,282 22,800 100,483 237,565 1 35120 - 10 - 10 1 31121 5,625 19 843 6,457 1 32113 - 1,400 2,509 3,909 1 35130 - 484 397 881 1 37100 - 21 933 954 31122 - 6,778 389 7,167 1 32114 152,934 16,469 13,105 182,508 1 35140 - - 461 1,301 1,762 1 31130 - 204 1,164 1,368 1 32115 13,338 - 10,019 23,357 1 1 37200 - 29 1,127 1,156 31140 15,905 3,409 6,417 25,731 1 32120 33,978 3,640 5,018 42,636 I 35210 - 408 2,032 2,440 1 31151 32,447 3,781 5,550 41,778 1 32130 3,369 1,076 8,974 13,419 3 35221 - 405 7,858 8,263 1 38111 19,800 5,469 886 21,235 31152 - 344 495 839 1 32140 - 14 383 397 1 35222 - 378 2,035 2,413 1 38112 12,617 1,300 2,890 16,807 31159 3,427 334 1,649 5,410 1 32150 67,867 861 1,358 70,086 1 35231 - 1,875 3,272 5,147 1 38113 - 882 2,900 3,782 31161/62 54,870 64,148 4,972 123,990 1 32160 - 223 2,103 2,326 1 35232 - 0 4,659 4,659 1 38114 - 1,680 3,332 5,012 31163 - 663 5,282 5,945 1 32190 - - 315 315 1 35233 - 348 1,874 2,222 1 38120 10,779 2,435 1,201 14,415 31164 - - 3,059 1,059 1 1 35290 - 841 2,562 3,403 1 38130 - 1,984 6,900 8,884 31169 83,912 3,367 4,207 91,486 1 32210 21,761 3,922 1,937 27,620 1 i 38140 - 548 2,732 3,280 31311 - 4,929 5,310 10,239 1 32290 4,504 831 680 6,015 1 35300 - 18 - 18 1 38190 5,629 1,867 451 7,947 31179 23,287 7,500 7,161 37,948 1 1 1 31181 730,223 - 55,717 785,940 1 32310 - 470 1,549 2,019 1 35400 - 14 - 14 1 38200 - 1,419 7,311 8,730 31182 - 6,383 2,343 8,726 1 32330 3,692 732 - 4,404 1 1 31190 - 129 2,255 2,384 1 - 1 35510 - 120 5,139 5,259 1 38311 - 228 396 624 1 32400 5,756 2,666 5,082 13,504 1 35521 - 1,761 2,906 4,667 1 38312 - 16 3,015 3,031 31210 13,760 5,961 3,953 23,674 1 1 35522 - 954 24,168 25,122 1 38320 - 70 4,368 4,438 31220 3,602 2,747 14,677 21,026 1 33111 51,136 18,336 14,519 83,991 1 35523 - 14 10,991 11,005 1 38330 - 191 3,976 4,167 31230 - 2,240 2,930 5,170 1 33112 10,622 1,577 1,435 13,634 1 35590 - 1,292 2,541 3,833 1 38340 - 48 420 468 31241 - 1,893 1,003 2,896 1 33113 - 15 762 777 1 1 31242 203,692 6,463 398 210,553 1 33120 4,037 1,210 216 5,463 1 35600 6,658 2,910 9,256 18,824 1 38411 5,371 636 5,469 11,476 31249 - 62 - 62 1 33130 1,451,194 2,481 822 1,454,497 1 1 38420 - 24 314 338 31250 88,751 14,835 1,566 105,152 1 33140 9,151 783 470 10,404 1 36110 1,788 137 644 2,569 1 38430 - 1,134 4,306 5,440 31260 - 1,369 546 1,915 1 33190 10,232 1,164 810 12,206 1 36120 56,448 569 - 6,217 1 38440 - 58 2,018 2,076 31270 - 25 1,121 1,146 I 1 36190 3,313 722 424 4,459 1 38450 - 625 956 1,581 31280 - 306 1,100 1,406 1 33210 81,280 14,440 3,334 99,054 1 1 38460 - 884 1,544 2,428 31290 306,846 5,194 2,462 114,502 1 33220 24,872 622 - 25,494 3 36210 - 147 5,124 147 1 38490 - 175 - 175 1 33290 - 1,052 - 1,052 1 36220 - 49 - 49 3 31310 3,632 301 255 4,188 1 1 1 38500 - 390 482 872 31320 - 493 603 1,096 1 34111 - 0 4,382 4,382 1 36310 - - 3,007 - I 31330 - 26 1,779 1,805 1 34112 - 398 774 1,172 1 36320 7,773 6,800 14,573 1 39010 8,776 912 825 10,513 331340 - 2,692 2,067 4,759 1 34120 1,472 176 1,977 3,625 1 36330 15,169 8,360 1,689 25,218 1 39020 - 217 158 375 1 34190 3,149 86 148 3,383 1 1 39030 - 554 883 1,437 31410 9,831 2,290 39,762 51,883 1 1 36410 62,012 14,462 1,668 78,142 1 39040 - 234 - 234 31420 - 758 81,161 81,919 1 34200 4,334 7,407 14,701 26,442 1 36420 100,580 13,365 4,381 118,326 1 39060 - 100 - 100 31430 - 273 6,108 6,381 1 1 36490 3,505 372 - 3,877 1 39090 106,927 3,482 6,528 116.931 31490 - 453 1,010 1,463 1 1 Total 3,89,856 343,240 661,704 4,894,800 Note: The description of induscries by the five digtt codes is given on pages C 1 -81- Table 12 INDONESIA VALUE ADDED (TOTAL IN RP MILLION) BY INDUSTRIES, 1974 Household Small Medium All I Rousehold Smll Medium All I Household Small Medium All Industry 6 cottage scale & large Mfg. I Industry 6 cottage scale 6 large Mfg. I Industry 6 cottage scale & large Mfg. 31111 - 293 104 397 i 32210 1,262 580 404 2,246 1 36210 - 23 2,617 2.640 31112 - 42 383 425 1 32290 108 104 133 345 1 36220 - 11 - 11 31121 ) 36'. - 5,374 5,738 i 1 31122 941 312 1,253 1 32310 - 154 750 904 1 36310 - - 9,280 9.280 31130 - 122 96 218 1 32330 275 98 - 373 1 36320 - 1,664 2,680 4,344 31140 1,276 330 2,284 3,890 1 1 36330 632 737 334 1,703 31151 788 1,462 2,751 5,001 1 32400 575 529 3,118 4,222 1 31152 - 221 294 515 1 1 36410 4,240 1,090 330 5,660 31159 170 38 11,536 11,744 1 33111 4,358 3,617 9,154 17,129 1 36420 2,988 692 826 4,506 31161/62 7,086 11,592 1,670 20,348' 1 33112 447 372 989 1,808 1 36490 64 38 - 102 31163 - 489 2,384 2,873 1 33113 - - 390 390 1 31164 - - 6,364 6,364 1 33120 192 147 76 415 1 36900 367 129 310 806 31169 3,487 746 2,187 6,420 1 33130 11,798 89 42 11,929 1 31171 - 519 827 1,346 i 33140 320 88 83 491 1 37100 - - 830 830 31179 1,386 1,646 1,344 4,376 1 33190 311 231 593 1,135 1 31181 - - 56,690 56,690 1 1 37200 - 8 3,169 3,177 31182 8,795 347 531 9,673 1 33210 4,192 2,329 1,207 7,728 1 31190 - 30 1,299 1,329 1 33220 303 68 - 371 1 38111 972 450 201 1,623 1 33290 - 52 - 52 1 38112 448 168 1,619 2,235 31210 333 620 830 1,783 1 1 38113 - 124 346 470 31220 105 315 8,650 9,070 1 34111 - - 2,693 2,693 1 38114 - 197 825 1,022 31230 - 720 1,625 2,345 1 34112 - 39 269 308 1 38120 735 500 631 1,866 31241 - 341 194 535 1 34120 47 20 2,029 2,096 i 38130 - 416 6,360 6,776 31242 6,523 814 97 7,434 1 34190 114 13 103 230 1 38140 - 127 1,968 2,095 31249 - 6 - 6 1 1 38190 262 328 233 823 31250 2,516 1,307 168 3,991 1 34200 275 1,626 6,396 8,297 i 3i260 - 1,136 163 1,299 1 i 38200 - 301 9,236 9,537 31270 - - 618 618 1 35110 - 101 4,399 4,500 1 31280 - 105 1,008 1,113 1 35130 - 296 150 446 1 38311 - 169 141 310 31290 2,231 574 359 3,164 i 35140 - 57 186 243 1 38312 - 4 1,792 1,796 i 38320 - 15 6,578 6,593 31310 67 39 156 262 1 35210 - 223 2,243 2,466 i 38330 - 89 7,451 7,540 31320 - 79 119 198 1 35221 - 170 7,795 7,965 1 38340 - 32 97 129 31330 - - 10,772 10,772 1 35222 - 58 392 450 1 31340 - 422 3,389 3,811 1 35231 - 410 3,127 3,537 1 38411 345 187 5,219 5,751 1 35232 - - 760 760 1 38420 - - 166 166 31410 902 135 6,038 7,075 1 35233 - 44 936 980 i 38430 - 261 5,570 5,831 31420 - 137 54,372 54,509 1 35290 - 115 1,220 1,335 i 38440 - 6 10,700 10,706 31430 - 17 41,266 41,283 1 1 38450 - 132 295 427 31490 - 52 497 549 1 35510 - 46 7,828 7,874 1 38460 - 269 696 965 1 35521 - 246 812 1,058 1 38490 - 19 - 19 32111 271 65 12,654 12,990 1 35522 - 634 17,388 18,022 1 32112 1,250 1,693 44,614 47,557 i 35523 - - 11,371 11,371 1 38500 - 73 155 228 32113 - 236 1,073 1,309 i 35590 - 352 766 1,118 1 32114 1,765 2,051 2,757 6,570 i 1 39010 404 139 21 564 32115 34 - 2,550 2,584 1 35600 441 588 3,122 4,151 1 39020 - 33 28 61 32120 726 370 980 2,076 1 1 32130 67 276 2,052 2,395 1 36110 15 26 154 195 1 39030 - 59 139 198 32140 - - 191 191 f 36120 734 20 - 754 1 39040 - 22 - 22 32150 718 68 363 1,149 1 36190 86 73 101 260 1 39060 - 7 - 7 32160 - 40 348 388 1 1 39090 4,392 461 10,363 15,216 32190 - - 224 224 1 1 I I Total 82,564 ,027 476,947 612,538 Note: The description of the five digit industry codes is given on pages -82- Table 13 INDONESIA GROSS OUTPUT (TOTAL IN RP MILLION) By INDUSTRIES. 1974 Houaehold Small medium All I Rousehold Small Medium All I Household Sm all Medium All Industry & cottage scale & large mfg. I Industry 6 cottage scale & large Mfg. I Industry & cottage scale & large Mfg. 31111 - 1,029 647 1,676 1 32210 3,413 1,899 1,079 6,391 1 36110 41 48 377 466 31112 - 265 1,861 2,899 1 32290 300 316 361 977 1 36120 1,042 29 - 1,071 31 121 I73 - 18,948 i8,948 I 1 36190 194 152 219 565 31122 -2,034 648 2,682 1 32310 - 510 3,263 3,773 1 31130 - 235 552 787 1 32330 647 310 - 957 1 36210 - 47 5,863 5,910 31140 4,383 1,224 12,386 17,993 1 1 36220 - 28 - 28 31151 3,373 6,552 32,317 42,242 1 32400 1,399 1,201 7,511 10,111 1 36310 - - 17,013 17,013 31152 - 1,310 3,163 4,473 1 1 36320 - 3,952 5,619 9,571 31159 498 336 20,460 21,294 1 33111 7,529 9,129 21,376 38,034 1 36330 1,327 2,552 970 4,849 31161/62 19,395 36,183 11,045 66,623 1 33112 901 860 1,650 3,411 1 31163 - 2,897 6,224 9,121 1 33113 - - 778 778 1 36410 6,798 1,716 486 9,000 31164 - - 22,882 22,882 1 33120 448 375 129 952 i 36420 4,855 1,135 1,235 7,225 31169 11,073 3,392 9,955 24,420 1 33130 19,525 179 78 19,781 1 36490 131 76 - 207 31171 - 1,997 2,820 4,817 1 33140 556 141 179 876 1 31179 4,816 4,749 3,862 13,427 1 33190 562 731 2,207 3,500 1 36900 625 258 464 1,347 31181 - - 101,736 101,736 1 I 31182 15,567 1,143 1,603 18,313 1 33210 8,774 4,873 2,475 16,122 1 37100 - - 4,639 4,639 31190 - 77 3,130 3,207 1 33220 531 132 - 663 1 1 33290 - 94 - 94 1 37200 - 30 14,166 14,196 31210 753 2,289 3,126 6,168 1 1 31220 463 1,875 16,757 19,095 1 34111 - - 9,556 9,556 1 38111 1,727 930 388 3,045 31230 - 1,262 2,701 3,963 1 34112 76 81 522 679 1 38112 807 556 5,397 6,760 31241 - 997 625 1,622 1 34120 - 38 7,611 7,649 i 38113 - 436 1,209 1,645 31242 28,814 3,525 394 32.733 1 34190 224 65 345 634 1 38114 - 558 2,349 2,907 31249 - 25 - 25 1 1 38120 1,830 1,338 1,556 4,724 31250 8,626 4,359 438 13,423 1 34200 450 3,543 12,108 16,101 1 38130 - 973 22,411 23,384 31260 - 2,941 461 3,402 1 1 38140 - 413 5,970 6,383 31270 - - 2,524 2,524 1 35110 - 158 9,078 9,236 1 38190 667 655 793 2,115 31280 - 626 4,969 5,595 1 35120 - - - - 1 31290 7,918 2,058 1,380 11,356 1 35130 - 641 626 1,267 1 38200 - 597 15,326 15,923 1 35140 - 115 520 635 1 31310 206 112 586 904 1 1 38311 - 371 589 960 31320 - 234 327 561 1 35210 - 462 5,832 6,294 1 38312 - 13 4,255 4,268 31330 - - 13,824 13,824 1 35221 - 405 17,194 17,599 i 38320 - 30 20,338 20,368 31340 - 1,027 6,130 7,157 1 35222 - 139 762 901 1 38330 - 222 13,892 14,114 1 35231 - 1,480 16,539 18,019 1 38340 - 39 130 169 31410 1,636 453 16,963 19,052 1 35232 - - 1,826 1,826 1 31420 - 573 158,005 158,578 1 35233 - 111 2,879 2,990 1 38411 490 327 11,178 11,995 31430 - 50 59,305 59,355 1 35290 - 379 3,361 3,740 1 38420 - - 262 262 31490 - 187 1,117 1,304 1 1 38430 - 508 9,812 10,320 1 35300 - - - - 1 38440 - 11 55,237 55,247 32111 780 152 49,313 50,245 1 1 38450 - 298 977 1,275 32112 3,660 5,489 138,448 147,597 1 35400 - - - - 1 38460 - 511 1,321 1,832 32113 - 1,006 3,982 4,988 1 i 38490 - 32 - 32 32114 4,347 7,469 9,457 21,273 1 35510 - 118 19,773 19,891 1 38500 - 191 390 581 32115 71 - 6,011 6,082 1 35521 - 767 2,435 3,202 1 32120 1,524 1,369 3,177 6.070 1 35522 - 1,629 58,685 60,314 1 39010 962 295 28 1,285 32130 134 1,046 6,580 7,760 1 35523 - - 60,864 60,864 1 39020 - 82 151 233 32140 - - 277 277 1 35590 - 975 2,354 3,329 1 39030 - 159 436 595 32150 1,614 185 1,035 2,835 1 1 39040 - 46 - 46 32160 - 159 1,351 1,510 1 35600 991 2,198 11,280 14,469 1 39060 - 20 - 20 32190 - - 1,035 1,035 1 1 39090 12,583 973 18,747 32,303 1 Total 200,826 157,558 1,293,786 1,652.170 Note7 The description of the five digit industry codes is given on pages INDONESIA NUMBER OF ESTABLISHMENTS, NUMBER OF PERSONS ENGAGED, VALUED ADDED, LABOR PRODUCTIVITY, AND WAGES AND SALARIES BY MAJOR INDUSTRIES, CENTRAL JAVA - 1974 WaRes/Salsrles No. of Establishments No. of Persons Engaged Value Added (million RP) --- Labor Produ/ctivic (0o0i8D) (Rp ean-d) Kajor Industries CI ST MLI ALL Cl Si MLI ALL CI Si MLI ALL CI SI MLi ALL Cl MLI 31122 Ice cream, ice lollies, etc. - 244 - 224 - 1,624 - 1,624 - 253 - 253 - 156 - 156 - - 31161 Cleaned & polished rice 856 1,220 14 2,090 4,279 8.007 345 12,631 513 2,424 67 3,004 120 303 194 238 218 240 31181 Refined sugar - - 14 14 - - 13.751 13,751 - 13,758 13,758 - - 1,000 1,000 - 800 31182 Ra. sugars 151,099 215 5 151,319 457,817 13194 670 459,681 5,563 50 93 5,706 12 42 139 12 77 250 31242 Tabh, tempe etc. prod. 29,328 353 4 29,685 96,221 2,031 91 98,343 2,349 284 12 2,636 24 140 132 27 148 207 31250 Krupuk, kerak etc. chips 13,296 603 4 13,883 48,859 4,197 78 53,134 890 383 13 1,286 18 91 167 24 157 126 31290 Food products nec 14,611 129 34 14,774 50,836 889 1,109 52,834 845 92 122 1.059 17 103 110 20 128 204 31420 Clove cigarettes - 31 72 103 - 234 33,455 33,689 - 68 21.076 21,144 - 291 630 628 - 189 31410 Cigarettes - - 3 3 - - 13143 1,143 - - 10,445 10,445 - - 9,138 9,138 - 1,985 32111 Yarn & thread 621 15 11 647 2,071 112 9,592 11,775 21 44 5,153 5,218 10 393 537 443 120 1,130 32112 Woven products (ex. Jute) 5,987 13309 392 7,688 20,325 13,748 28,346 62,419 312 954 5,150 6,416 35 69 182 103 137 227 0 32114 Batik 42,465 1,018 231 43,714 130,495 10,781 9,338 150,614 1,085 988 1,589 3,662 8 92 170 24 79 265 W 33210 Wooden furniture 8,435 455 10 8,900 26,758 3,647 350 30,755 850 455 79 1,384 32 125 226 45 227 439 35522 Re.illed rubber - - 22 22 - - 3,096 3,096 - - 1,551 1,551 - - 503 501 - 498 36410 Brtcks 8,075 166 6 8,247 27,003 962 220 28,185 1,629 74 124 1,827 60 77 564 65 268 164 36420 Roofing tiles 16,269 197 18 16,484 51,781 1,376 756 53.913 1,405 66 43 1,514 27 48 57 28 169 121 38111 Agricultural equlpment 1,151 158 - 1,309 4,670 979 - 5,649 239 95 - 334 51 97 - 59 246 - 38200 Machinery except electrical - 41 16 57 - 364 910 1,274 - 94 584 678 - 258 642 532 - 848 00000 Unidentified 8,018 - 24 8,042 27,520 - 5,576 33,096 1,267 - 3,018 4,285 46 - 54 129 214 802 Total Major lndustrtes 300,191 6,134 880 307,205 948,635 50,145 108826 1,107,606 16.959 6.324 62,877 86.160 18 126 578 78 - - TOTAL ALL INDUSTRIES 520,892 9,212 1.584 531,688 1,633,451 74,026 147,826 1,855,303 22,694 9,676 72,978 105,348 14 133 494 57 178 392 Major/All (S) 57.6 66.6 55.6 57.8 58.1 67.1 73.6 59.7 74.7 65.4 86.2 81.8 _- _- - _ Central Java/lndonesia (2) 42.2 19.1 22.3 41.2 41.9 21.6 22.3 37.8 27.5 18.2 15.3 17.2 66.7 85.1 68.5 45.6 69.8 68.5 INDONESIA NUMBER OF ESTABLISHMENTS, NUMBER OF PERSONS ENGAGED, VALUE ADDED, LABOR PRODUCTIVITY AND WAGES AND SALARIES BY MAJOR INDUSTRIES, JAKARTA, 1974 Wages and salaries Number of eatablishments Number of persons engaged Value added (Rp million) Labor productivity (Rp'000) (Rp/Wan-das) Division Major industries CI SI MLI All CI SI MLI All CI SI HLI All CI SI MLI All CI MLI 31171 - 34 14 48 - 288 703 991 - 100 206 306 - 347 293 309 - 494 31179 Bakery products 670 98 29 797 2,457 821 2,021 5,299 370 217 488 1,075 151 264 241 203 194 391 31230 Ice - 14 7 21 - 170 252 422 - 103 104 207 - 606 413 491 - 1,262 31242 Tahu, tempe, etc. products 1,711 22 6 1,739 6,497 184 155 6,836 592 52 57 701 91 283 368 103 304 616 31250 Krupuk, kerak, etc. chips - 72 - 72 - 620 - 620 - 115 - 115 - 185 - 185 - 31340 - 57 16 73 - 688 1,345 2,033 - 97 2,612 2,709 - 141 1,942 1,332 - 2,300 32112 Woven products (except jute) - - 13 13 - _ 4,460 4,460 - - 4,504 4,504 - - 1,010 1,010 - 766 32114 Batik 602 186 53 841 2,105 1,956 1.650 5,711 435 536 735 1,706 207 274 445 299 445 585 32210 Wearing apparel 1,063 76 37 1,176 3,843 768 1,364 5,975 355 138 322 815 92 180 236 136 394 497 32400 Footwear 681 60 13 754 2,775 519 3,103 6,397 405 123 2,042 2,570 146 237 658 402 517 1,761 33111 Saw and vood mills - 65 5 70 - 521 188 709 - 159 32 191 - 305 170 269 - 327 33210 Wooden furniture 2,140 191 22 2,353 7,692 1,534 1,125 10,351 755 411 592 1,758 98 268 526 170 436 926 34200 Printing and publishing - 181 76 257 - 1,672 5,625 7,297 - 515 3,016 3,531 - 308 536 484 - 871 35210 Paint varnish, lacquers - - - - - - - - - 115 1,883 1,998 - - - - - 35221 Medicine - 1o 27 37 - 139 3,725 3,864 - 78 3,679 3,757 - 561 988 972 - 2,010 35231 Cleaning preparations - 31 6 37 - 287 1,966 2,253 - 73 2,781 2,854 - 254 1,414 1,267 -72 3,105 35600 Plastic products - 92 81 173 - 917 5,885 6,802 - 203 2,109 2,312 - 221 358 340 - 479 36320 Cement products - 156 33 189 - 1,495 1,222 2,717 - 443 413 856 - 296 338 315 - 550 38120 - 62 8 70 - 485 528 1013 - 117 355 472 - 241 672 466 - 721 38130 Structural metal products - 87 17 104 - 608 3,008 3,616 - 151 3,706 3,857 - 298 1,232 1,067 - 1,480 38200 Machinery, except electrical - 29 12 41 - 277 1,221 1,498 - 65 2,024 2,089 - 235 1,658 1,395 - 1,337 38320 Communication equipment - 4 10 14 - 42 3,235 3,277 - - 5,447 5,447 - - 1,684 1,684 - 1,626 38411 Ship/boat building/repair - - 11 11 - - 3,233 3,233 - - 4,071 4,071 - - 1,259 1,259 - 1,982 38430 Motor vehicles - 5 9 14 - 68 2,656 2,724 - - 3,244 3,244 - - 1,221 1,221 - 2,004 38440 Motorcycles - - 6 6 - - 1,982 1,982 - - 10,695 10,695 - - 5,396 5,396 - 2,404 00000 UnidenEifted 4,374 - 9 4,383 17,148 - 1,694 18,842 1,787. 82 2,607 4,476 104 - 1,539 238 351 765 Total Malor Industries 11,241 1,532 520 13,293 42,517 14,059 52,346 108.922 4.699 3,893 57,724 66.316 I 265 1,067 590 - Total All Industrtes 16,345 1,983 878 19,206 57,949 18,510 87,943 164,402 5,223 4,870 92,906 102,999 90 263 1,056 627 362 1,107 Major/All (X) 68.8 77.3 59.2 69.2 73.4 76.0 59.5 66.3 90.0 79.9 62.1 64.4 123.3 100.8 101.0 94.1 Jakarta/Indonesia (X) 1.3 4.1 12.4 1.5 1.1 4.1 7.9 2.2 6.3 9.2 19.5 16.8 - 169.7 146.7 - 0. INDONESIA NO. OF ESTABLISHMENTS, NO. OF PERSONS ENGACED, VALUE ADDED, LABOR PRoDUCTIVITY. AND WAGES NiD SALARIES BY MAJOR INDUSTRIES, NORT0I SUMATRA, 1974 Wages & salaries No. of establishments No. of persons engaged Value added (Rp million) Labor productivity (Rp'OOO) Rp/.n-ddas Major industries CI Si mL1 All Cl Sl mLu All C! Si mu! All C! SI ml All CI mLI 31122 Ice cream, ice lollies, etc. - 83 - 83 - 649 - 649 - 74 - 74 - 114 - 114- 31140 Fish, preserved 6 canned - a8 4 92 - 637 3,145 3,782 - 82 919 1,001 - 129 292 265 - 283 31151 Coconut oil - 52 8 60 - 500 226 726 - 188 81 269 - 376 358 371 - 437 31159 Vegetable & animal fat - - 6 6 - - 634 634 - - 10,279 10,279 - - 16,213 16,213 - 771 31161 Cleaned 6 polished rice 1,981 399 _ 2,380 7,552 2,353 - 9,905 695 1,000 - 1,695 92 425 - 171 295 31179 Bakery products - 89 4 93 - 669 174 843 - 129 28 157 - 193 161 186 2sg 31182 Raw sugar 1,458 9 - 1,467 4,559 95 - 4,654 133 14 - 147 29 147 - 32 4 - 0( 31430 Cigarettes - - 4 4 - - 1,537 1,537 - - 6,072 6,072 - - 3,951 3,951 n 484 J 33111 Saw & wood mills - 146 26 172 - 1,583 784 2,367 - 240 153 393 - 152 195 166 - 536 1 33130 Rattan 6 willow pleats 6,234 - - 6,234 19,232 - - 19,232 327 - - 327 17 - - 17 274 - 33210 Wooden furniture 595 104 4 703 2,178 834 211 3,223 155 160 66 381 71 192 313 118 399 470 34200 Printing & publishing - 43 16 59 - 430 777 1,207 - 71 665 736 - 16 856 610 - 67t 35522 Remilled rubber - 10 45 55 - 116 4,756 4,872 - 109 2,834 2,943 - 940 596 604 - 599 35523 Crumb rubber - 1 8 9 - 14 1,570 1,584 - - 1,466 1,466 - - 934 934 - 446 35600 Plastic products - 31 7 38 - 298 546 844 - 60 237 297 - 201 434 352 386 36320 Cement products - 45 5 50 - 416 164 580 - 88 93 181 - 212 567 329 - 617 38130 Strucutral metal products - 27 8 35 - 198 560 758 - 36 851 887 - 182 1,520 1,170 - 1,105 38190 Metal products N.E.C. - 39 - 39 - 261 - 261 - 47 - 47 - 180 - 180 - 38200 Machinery, except electrical - 19 6 25 - 132 688 820 - 20 405 425 - 152 589 518 - 854 38430 Motor vehicles - 10 3 13 - 81 212 293 - 25 556 581 - 309 2,623 1,983 - 1,390 39090 Industries N.E.C. - 55 3 58 - 421 617 1,038 - .31 398 435 - a8 645 419 - 1,191 00000 Unidentified 3,429 - 11 3,440 12,966 - 639 13,605 791 - 488 1,279 61 - 764 94 307 834 Total Major Industries 13,697 1,250 168 15.115 46.487 9,687 17,240 73,414 2,101 2,380 25,591 30,072 45 246 1,484 410 Total All Industries 15,560 1,985 272 17,817 52,407 15,750 25,258 93,415 2,284 3,442 27,756 33,482 44 219 1,099 358 306 50 Major/all (I) 88.0 63.0 61.8 84.8 88.7 61.5 68.3 78.6 92.0 69.1 92.2 89.8 102.3 112.3 135.0 114.5 Norch Sumatra/Indonesia (1) 1.3 4.1 3.8 1.4 1.3 4.6 3.8 1.9 2.8 6.5 5.8 5.5 209.5 141.3 152.4 120.0 88.8 -86- Table 15 INDONESIA GROSS OUTPUT, MERCHANDISE IMPORTS AND TOTAL SUPPLY BY MAJOR INDUtSTRIES, 1974 Gross output Total Imports/ Industries CI SI MLI All Imports supplies supplies (% 31120 Dairy products 773 2,034 19,596 22,403 18,865 41,268 45.71 31181 Refined sugar - - 101,736 101,736 12,220 113,956 10.72 314 Tobacco manufactures 2,660 1,263 235,390 239,313 8,417 247,730 3.39 32111 Yarn & thread 780 152 49,313 50,245 62,047 112,292 55.25 32112 Woven products, ex. jute 3,660 5,489 138,448 147,597 23,802 171,399 13.88 32115 Jute & plastic bags 71 - 6,011 6,082 4,952 11,034 44.87 32120 Textile goods, ex. wearing apparel 1,524 1,369 3,177 6,070 6,699 12,769 52.46 32130 Knitted products 134 1,046 6,580 7,760 7,664 15,424 49.68 34100 Paper & fiberboard 861 3,728 30,142 34,731 38,981 73,712 52.88 35110 Basic chemicals, ex. fertilizer - 158 9,078 9,236 92,705 101,941 90.93 35130 Pesins, plastic i synthetic material - 641 626 1,267 43,929 45,196 97.19 35210 Paint, varnish, laquers - 462 5,832 6,294 6,724 13,018 51.65 35221 Medicines - 405 17,194 17,599 21,448 39,047 54.92 35233 Perfumes, cosmetics, etc. - 111 2,879 2,990 8,538 11,528 74.06 35290 Other chemical products, NEC - 379 3,361 3,740 48,007 51.747 92.77 35510 Tires & tubes - 118 19,773 19,891 10,527 30,418 34.60 35590 Rubber products, NEC - 975 2,354 3,329 2,938 6,267 46.88 36210 Glass & glass products - 47 5,863 5,910 - 4,580 10,490 43.66 36310 Cement - - 17,013 17,013 42,713 59,726 71.51 37100 Iron 6 steel, basic metals - - 4,639 4,639 223,086 227,725 97.96 37200 Nonferrous metals - 30 14,166 14,196 43,160 57,356 75.24 38111 Agricultural tools & equipment 1,727 930 388 3,045 11,099 14,144 78.47 38130 Structural metal products - 973 22,411 23,384 30,530 53,914 56.62 38140 Metal containers - 413 5,970 6,383 8,184 14,567 56.18 38190 Metal products, NEC 667 655 793 2,115 7,275 9,390 77.47 38200 Machinery, ex. electrical - 597 15,326 15,923 446,341 462,264 96.55 38300 Electrical machinery, appliances, etc. - 674 39,205 39,879 169,911 209,790 80.99 38320 Communication equipment - 30 20,338 20,368 38,267 58,635 65.26 38330 Electrical apparatus & supplies - 222 13,892 14,114 95,565 109,679 87.13 38411 Ship/boat building/repair 490 327 11,178 11,995 23,578 35,573 66.28 38420 Railroad equipment - - 262 262 2,523 2,785 90.59 38430 Motor vehicles - 508 9,812 10,320 142,666 152,986 93.25 38440 Motorcycles - 11 55,237 55,248 33,373 88,621 37.65 38450 Bicycles - 298 977 1,275 4,492 5,767 77.89 38460 Vehicles body & parts - 511 1,321 1,832 13,191 15,023 87.80 38490 Other transport equipment - 32 - 32 22,104 22,136 99.85 38500 Scientific, photographic equipment - 191 390 581 22,063 22,644 97.43 39000 Other manufacturing 4,028 1,575 19,363 24,966 21,283 46,249 46.01 Total Major Industries /a 17,375 26,102 875,804 919.281 1.946,989 2.866,270 67.92 Total All Industries , 157,558 1,293,786 1.652.170 2,092,393/b 3,744,563 55.87 Major/all (%) 0.09 16.56 67.69 55.64 93.05 76.54 - /a Imports includes data for 3512, 353, and 354. /b Manufactured imports/all merchandise imports - 86.8%. Source (for Imports Data): UN, Trade Yearbook, 1976, Volume I. Table 16.1 INDONESIA CUMULATIVE NUMBER OF ESTABLISHMENTS BY YEAR OF OOMMENCEMENT OF PRODUCTION BY INDUSTRY GROUP, 1969-74 Small Scale Industry (SIs) Medium & Large Industry (MLIs) Before Before Industry group 1969 1969 1970 1971 1972 1973 1974 1969 1969 1970 1971 1972 1973 1974 311-312 Food manufactures 5,676 6,785 8,770 10,676 13,517 17,172 22,559 858 927 1,011 1,101 1,220 1,358 1,539 313 Beverage industry 222 239 265 283 306 347 416 33 34 40 45 46 53 60 314 Tobacco manufactures 476 549 651 711 833 951 1,300 508 550 585 625 668 715 769 321 Textile 1,698 1,878 2,287 2,532 2,873 3,462 4,649 1,187 1,279 1,425 1,533 1,651 1,790 1,936 322 Wearing apparel 160 187 260 308 375 480 625 31 34 41 * 49 57 64 72 3Z3 Leather manufactures tz 69 8Z 98 li2 i39 155 22 22 22 22 22 25 27 324 Footwear 120 126 166 197 243 294 363 15 17 20 22 25 30 31 331 Wood & wood products 843 967 1,241 1,449 1,764 2,334 3,224 94 112 129 150 192 272 322 332 Furniture & fixtures 748 861 1,105 1,251 1,467 1,751 2,232 38 45 49 55 64 72 87 341 Paper & paper products 28 30 33 35 44 50 65 31 33 40 48 50 55 60 342 Printing & publishing 417 446 499 551 604 665 802 166 180 192 197 208 221 229 351 Industrial chemicals 62 68 77 83 91 100 120 46 48 52 55 60 63 68 352 Other chemicals 225 252 284 312 342 387 503 114 127 145 163 188 203 228 355 Rubber products 196 213 300 325 365 397 454 278 307 338 371 395 417 468 356 Plastic products 97 110 132 146 183 233 302 56 66 73 81 97 112 137 1 361 Pottery, China & earthenware 72 82 98 115 123 146 204 7 7 9 10 11 14 21 362 Glass & glass products 7 7 8 10 11 15 21 35 37 37 39 41 44 52 363 Cement, lime & products 705 814 991 1,157 1,368 1,702 2,273 112 127 140 153 171 190 216 364 Bricks, tiles & clay products 1,074 1,267 1,633 1,898 2,341 2,991 4,145 89 97 109 116 137 156 181 369 Non-metallic mineral products 32 32 38 42 50 66 106 7 7 7 9 10 11 13 371 Iron & steel industry 1 1 2 2 2 2 2 3 3 4 4 5 6 9 372 Non-ferrous metals basic industries 3 4 4 4 4 4 4 1 1 3 4 5 6 9 381 Fabricated metal products (except machinery) 1,092 1,220 1,419 1,556 1,712 1,924 2,265 108 119 133 159 189 217 241 382 Machinery, except electrical 100 105 115 121 128 143 162 44 48 49 56 62 64 68 383 Electrical machinery, appliances, etc. 31 35 41 45 49 55 63 24 29 31 37 45 51 66 384 Transport equipment 165 191 217 239 283 326 426 47 53 60 72 82 93 112 385 Scientific photographic equipment, etc. 20 23 24 26 33 37 40 9 9 9 9 9 12 13 390 Other manufacturing 337 378 444 485 550 603 708 27 32 36 39 44 51 57 Total 14,669 16,939 21,186 24,657 29,773 36,776 48,188 3,990 4,350 4,789 5,224 5754 7,091 Table 16.2 INDONESIA CUMULATIVE NUMBER OF ESTABLISHMENTS BY YEAR OF COMMENCEMENT OF PRODUCTION BY PROVINCE. 1969-74 Small Scale Industry (SIs) Medium & Large Industry (MLIs) Before Before Province 1969 1969 1970 1971 1972 1973 1974 1969 1969 1970 1971 1972 1973 1974 Sumatra Aceh 165 197 252 305 379 517 741 17 18 20 21 21 24 25 Sumatra, North 741 882 1,050 1,184 1,331 1,573 1,985 145 158 171 195 218 240 272 Sumatra, West 392 437 526 602 740 921 1,220 21 23 26 29 38 42 45 Riau 268 318 391 449 519 588 684 7 15 20 27 33 40 49 Jambi 156 186 217 242 280 337 440 7 8 12 15 17 24 30 Sumatra, South 560 672 870 1,041 1,245 1,543 1,922 41 45 52 62 66 70 73 Bengkulu 17 21 34 41 50 73 116 - - - - - 2 3 Lampung 87 110 146 182 244 335 470 33 35 39 43 46 54 65 Java Jakarta 767 844 947 1,091 1,287 1,498 1,983 427 479 547 634 718 798 878 Java, West 2,287 2,634 3,574 4,184 5,357 7,174 10,077 814 885 1,011 1,095 1,228 1,386 1,598 Java, Central 3,197 3,593 4,352 4,998 5,970 7,252 9,212 1,002 1,089 1,172 1,259 1,375 1,475 1,584 Jogyakarta 629 678 756 816 907 1,022 1,160 122 126 134 138 144 150 155 Java, East 3,956 4,615 5,667 6,538 7,745 9,131 11,418 1,167 1,256 1,340 1,420 1,513 1,626 1,819 Kalimantan Kalimantan, West 203 235 284 330 371 414 497 13 17 20 30 39 54 58 Kalimantan, Central 24 30 39 50 71 109 191 5 5 6 9 14 16 21 Kalimantan, South 112 143 186 239 306 405 509 22 29 29 35 42 51 60 Kalimantan, East 26 32 41 55 64 89 147 6 7 8 8 14 19 23 Sulawesi Sulawesi, North 89 101 128 162 193 238 452 6 9 10 11 13 14 18 Sulawesi, Central 30 39 61 74 89 122 296 - - I I 1 2 5 Sulawest, South 520 672 998 1,257 1,557 1,989 2,528 42 47 58 62 65 107 114 Sulawesi, Southeast 34 38 89 100 135 190 387 5 6 9 15 18 23 30 Others Bali 146 175 228 295 409 549 710 39 41 49 51 54 60 63 Nusatenggara, West 155 168 208 257 308 416 555 31 33 34 41 51 60 67 Nusatenggara, East 74 80 93 104 133 164 264 9 9 10 10 10 10 14 Maluku 23 24 30 37 46 63 100 5 6 6 8 9 10 10 Irian Jaya 8 12 16 21 34 60 122 4 4 5 5 7 8 12 Total 14,666 16 936 21,183 24,654 29,770 36,772 48,186 3,990 4,350 4,789 5,224 5,754 6,365 7,091 Table 17 INDONESIA NUMBER OF ESTABLISHMENTS AND PERSONS ENGAGED BY MAJOR INDUSTRY GROUPS, 1970-77 Small Industry Medium & Large Industry /a Major industry group 1970 1971 1972 1973 1974 1970 1971 1972 1973 1974 1975 1976 1977 Number of Establishments Food & beverages 222,741 249,589 261,409 195,487 233,864 6,226 9,396 14,295 13,869 1,598 1,493 1,694 1,658 Textiles, wearing apparel 117,783 70,992 79,381 56,046 79,389 5,050 4,337 4,475 4,066 2,008 2,860 2,414 2,209 Leather & products 6,003 1,873 1,533 2,932 2,605 143 162 170 130 58 96 93 90 Wood & furniture 223,135 177,504 165,935 296,366 428,110 1,002 1,474 1,999 2,053 407 610 688 655 Paper & products, printing, publishing 3,120 3,544 3,006 853 308 628 734 782 768 289 372 376 353 Other manufacturing industry 283,463 266,319 254,750 112,799 125,185 4,851 5,872 7,037 6,135 2,731 3,056 3,045 2,985 Total 856,245 769,821 766,014 664,483 869,461 17,900 21,975 28,758 27,021 7,091 8.487 8,310 7.950 Number of Persons Engaged Food & beverages 632,158 711,568 692,119 546,629 630,551 290,352 333,871 349,154 287,548 140,347 151,502 146,618 144,116 Textiles, wearing apparel 244,986 193,964 144,063 126,480 145,993 174,439 166,992 220,251 235,497 167,615 236,105 219,059 203,587 Leather & products 11,858 5,565 4,126 9,124 10,613 5,976 7,631 3,007 6,483 6,631 8,745 8,997 8,978 Wood & furniture 442,113 351,194 363,084 626,116 790,064 17,553 23,511 41,229 41,356 22,368 38,538 41,613 45,232 Paper & products, printing, publishing 9,270 10,178 8,233 2,098 1,386 20,730 24,905 30,880 27,395 21,982 26,041 27,493 26,499 Other manufacturing industry 655,194 515,625 532,116 323,947 375,174 339,891 415,119 584,466 333,357 302,761 299,001 363,857 363,247 Total 1,995,579 1,788,094 1,743,741 1,634,394 1,953,781 848,941 972,029 1,228,987 931,636 661,704 760,031 807,637 791,659 /a The definition of Medium and Large Industry for 1970-73 and 1974-77 is different. See /a on page 2 and Annex, p Sources: (1) Survey on Small Scale Manufacturing and Handicraft, 1970 to 1974 annual issues. 1 (2) Survey of Large and Medium Scale Manufacturing Industries, 1970 to 1973 annual issues. Co (3) Industrial Census 1974/75: Large and Medium Manufacturing Establishment, Volume I. (4) Survey of Manufacturing Industries (Medium & Large Industries), Volume 1, 1975, 1976 and 1977 (unpublished). -90- Table 18 INDONESIA Number of Establishments and Persons Engaged in Small & Handicraft Industry by Rural/Urban Areas and Industry Group, 1969-74 No. of Establishments No. of Persons Engaged Major Industry Group Rural Urban Total Rural Urban Total Rural Urban Total Rural Urban Total 1969 --------- 1970 ---- 1969 -------- 1970 Food & beverages 184,358 19,130 203,488 203,276 19,465 222,741 512,752 61,756 574,508 566,699 65,459 632,158 Textiles, wearing apparel 88,645 8,672 97,317 106,311 11,472 117,783 179,945 22,245 202,190 213,630 31,356 244,986 Leather 6 products 4,261 1,311 5,572 1,305 4,698 6,003 7,181 2,365 9,546 8,694 3,164 11,858 Wood & furniture 202,214 10,349 212,563 213,818 9,317 223,135 373,908 21,775 395.683 419,164 22,949 442,113 Paper & products, print., publishing 1,397 1,051 2,448 1,220 1,900 3,120 3,667 3,819 7,486 1,900 7,370 9,270 Other mfg. industry 248,597 17,112 265,709 264,907 18,556 283,463 548,655 47,972 596,627 606,222 48,972 655,194 Total 729,472 57,625 787,097 794,230 62,015 856.245 1.626.108 159,932 1,786.040 1,816,309 7,270 1,995,579 1971 ---- ----- 1972 - - 1971 ------ ------- 1972 … Food & beverages n.a. n.a. 249,589 235,891 25,518 261,409 n.a. n.a. 711,568 616,651 75,468 692,119 Textiles, wearing apparel n.a. n.a. 70,992 64,933 14,448 79,381 n.a. n.a. 193,964 110,340 33,723 144,063 Leather 6 products n.a. n.a. 1,873 468 1,065 1,533 n.a. O.a. - 5,565 1,872 2,254 4,126 Wood & furniture n.a. n.a. 177,504' 161,096 4,839 165,935 n.a. n.a. 351,194 347,903 15,181 363,084 Paper S products, print., publishing n.a. n.a. 3,544 1,935 1,071 3.006 n.a. n.a. 10,178 4,973 3,260 8,233 Other mfg. industry n.a. n.a. 266,319 236,652 18,098 254,750 n.a. n.a. 515.625 489,884 42,232 532,116 Total n.a. n.a. 769,821 700.975 65,039 766.014 n.. n.a. 1,788,094 1.571,623 172,118 1,743,741 1973 -- -- 1974 - -- 1973 ---- ------ 1974 --------- Food 4 beverages 167,871 27,616 195,487 208,476 25,388 233,864 451,158 95,471 546,629 549,833 80,718 630,551 Textiles, wearing apparel 50,484 5,562 56,046 75,229 4,160 79,389 109,393 17,087 126,480 137,785 8,208 145,993 Leather & products 1,092 1,840 2.932 2,168 437 2,605 3,072 6,052 9,124 8.428 2,185 10,613 Wood & furniture 283,317 13,049 296,366 414,092 14,018 428,110 591,594 34,522 626,116 754,262 35,802 790,064 Paper 6 products, print., publishing 505 348 853 n.a. 308 308 1,010 1,088 2,098 n.a. 1,386 1,386 Other mfg. industry 95,912 16,887 112,799 104,034 21,151 125,185 271,898 52,049 323,947 311,154 64,020 375,174 Total 599,181 65,302 664,483 803,999 65,462 869,461 1,428,125 206,269 1,634,394 1,761,462 192,319 3,781 Source: BPS: Survey on Small-Scale Manufacturing and Nandicraft, 1969 to 1974 (annual issues). -91- Table 19 INDONESIA NUMBER OF ESTABLISHMENT & PERSONS ENGAGED BY PROVINCE, 1973-77 Small Industry Medium & Large Industry Province 1973 1974 1975 1976 1977 1973 1974 1975 1976 1977 Number of Establishments Aceh N.A. N.A. 4,032 4,765 5,588 N.A. N.A. 166 153 160 Sumatra, North - … N.A. - ---------- -------------- N.A. - -----…----- Riau /a 2,199 2,452 2,527 2,448 2,483 104 117 115 122 130 Jambi 7a 1,057 1,154 768 1,220 1,264 171 186 297 296 320 Jogyakarta N.A. 1,131 1,086 968 N.A. N.A. 155 179 175 N.A. Java, East 4,469 5,730 6,218 7,483 9,522 4,107 4,295 4,458 4,432 2,376 Kalimantan, West 973 1,187 1,163 1,162 1,041 185 191 148 133 127 Sulawesi, Central /a 96 96 178 565 775 31 31 37 42 45 Nusatenggara, West N.A. 973 1,182 1,289 1,390 N.A. 75 105 139 134 Nusatenggara, East 171 209 629 903 1,538 11 18 31 35 35 Total /b 5 538 9.117 9,827 16,232 18,316 0 4,951 5421 5,405 2197 Persons Engaged/ Establishment 17 6 8 5 3 43 55 57 58 106 Number of Persons Engaged Aceh N.A. N.A. 3 3 2 N.A. N.A. 12 18 23 Sumatra, North /a ------------- N.A. ------------- -…--------- N.A. ------------- Riau /a /c 2 2 2 2 2 13 15 12 17 18 Jambi /a 3 2 4 3 3 26 25 18 20 21 Jogyakarta N.A. 8 7 7 N.A. N.A. 104 80 80 N.A. Java, East 20 7 9 7 4 44 56 62 62 131 Kalimantan, West 2 2 1 2 2 39 39 57 56 57 Sulawesi, Central /c 3 3 11 4 3 11 11 13 16 23 Nusatenggara, West N.A. 4 4 5 5 N.A. 46 42 48 52 Nusatenggara, East -------------- N.A. ------------- 40 37 38 37 37 Total /b 17 6 8 5 3 43 55 57 58 106 /a Small industry includes handicraft. /b Total for small industry excludes Riau, Jambi and Nusatenggara East, and total for MLIs exclude Riau. /c Data on large scale industry are not available. Source: Department of Industry, Government of Indonesia (unpublished data, December 1978). -92- Table 20 INDONESIA GROWTH OF MANUFACTURING EMPLOYMENT, 1961, 1971, 1976 Rural Urban Total Year Male Female Total Male Female Total Male Female Total Manufacturing Employment 1961 663,857 518,063 1,181,920 500,525 183,716 684,241 1,164,382 701,779 1,866,161 1971 1,062,567 1,225,574 2,288,141 461,202 200,271 661,473 1,523,769 1,425,845 2,949,614 1976 1,488,501 1,502,663 2,991,164 451,998 232,967 684,955 1,940,489 1,735,630 3,676,119 Change in Manufacturing Employment (Absolute) 1971/1961 398,710 707,511 1,106,221 -39,323 16,555 -22,768 359,387 724,066 1,083,453 1976/1971 425,934 277,089 703,023 -9,204 32,696 23,482 416,720 309,785 726,505 1976/1961 824,644 984,600 1,809,244 -48,527 49,251 714 776,107 1,033,851 1,809,958 Change in Manufacturing Employment (%) 1971/1961 160.05 236.57 193.59 92.14 109.01 96.67 130.86 203.17 158.06 1976/1971 140.08 122.61 130.72 98.00 116.32 103.55 127.35 121.73 124.63 1976/1961 224.22 290.05 253.08 90.30 126.81 100.10 166.65 247.32 196.99 Total Employment 1961 20,733,025 7,920,374 28,653,399 3,248,239 1,049,621 4,297,860 23,981,264 8,969,995 32,951,259 1971 22,140,971 11,537,045 33,678,016 4,216,509 1,579,967 5,796,476 26,357,480 13,177,012 39,474,492 1976 28,819,553 19,272,332 48,091,885 5,093,025 2,124,657 7,217,682 33,912,578 21,396,989 55,309,567 Manufacturing Employment/Total Employment (I) 1961 3.20 6.54 4.12 15.41 17.50 15.92 4.86 7.82 5.66 1971 4.80 10.62 6.79 10.94 12.67 11.41 5.78 10.87 7.47 1976 5.16 7.80 6.22 8.87 10.96 9.49 5.72 8.11 6.65 Annual Growth Rate (I) 1971/1961 4.82 8.99 6.83 -0.81 0.87 -0.34 2.73 7.35 4.68 1976/1971 6.97 4.16 5.50 -0.40 3.07 0.70 4.95 4.01 4.50 1976/1961 5.53 7.36 6.39 -0.68 1.60 0.01 3,46 6.22 4.62 Source: Employment and Income Distribution in Indonesia. (World Bank, Development Economics Department, October 1978). -93- Table 21 Page 1 INDONESIA SCORES OF INDUSTRIAL BRANCHES SUITABLE FOR SMALL- AND MEDIUM-SCALE OPERATION Factor endow- Skilled Re- Commodity or service Growth ment labor Size Exports sources Total Food Industries Fish processing I I I I I I 6 Rice milling I I I I I I 6 Other cereals I II II II I V 13 Bakery products I I II I I V 11 Vegetable oil III III III II I I 13 Margarine I II II I III I 10 Coffee III II II II I I 11 Tea V II II I I I 12 Textiles Cotton fabric II I II II I V 13 Rope I I II II I I 8 Hemp I I I II I II 8 Knitting mill products I I II I I V 11 Wearing apparel I I II I I III 9 Leather Leather goods excent footwear II I II I I III 10 Leather footwear II I III I I III 11 Wood, Paper and Related Industries Sawmill IV I II I I I 10 Bamboo, vines & cork III I I I II I 9 Wood furniture III I II I I I 9 Other wood products III I II I II I 10 Paper boxes & containers II I II I V III 14 Corrugated board II I II I V III 14 Chemical Industries Pigments I I III I IV I 11 Matches I I I I V III 12 Petroleum Lubricants III IV IV II I I 15 Briquettes IV I III I V I 15 -94- Table 21 Page 2 Factor endow- Skilled Re- Commodity or service Growth ment labor Size Exports sources Total Rubber Industries Bicycle tires & tubes I I II II I I 8 Rebuilt tires I I II I I II 8 Rubber footwear I I II II I I 8 Rubber hose I I II II V I 12 Rubber-coated textiles III II III II IV I 15 Non-Metallic Mineral Industries Tiles II I II II V I 13 Clay bricks II I II II V I 13 Clay products II I I I V I 11 Earthenware II I I I V I 11 Glassware I I II II V I 12 Cement products I II II I V I 12 Plaster & its products III I II I V I 13 Iron, Steel & Other Metals Molding and casting iron II II III I V V 18 Aluminum second alloy III III III I I V 16 Molding of non-ferrous metals except aluminum III I II I I V 13 Enamel products I III II II II V 15 Cutlery & tableware II I II I I IV 11 Farm & implements I I II I I IV 10 Hand tscls II IV I I V 15 Bolts, nuts, nails, spikes, etc. I I II I I V 11 Aluminum alloy products III I I I I V 12 Metal furniture II III III II V V 20 Metal construction materials II II IV II II V 17 Machinery Non-electrical power machinery I II IV II I V 15 Metalworking machines I I III I I V 12 Textile machines I I III II I V 13 General industrial machines II I III I V V 17 Light bulbs I I II II I V 12 Batteries I II II III I IV 13 -95- Table 21 Page 3 Factor endow- Skilled Re- Commodity or service Growth ment labor Size Exports sources Total Transport Equipment Ships & boats I II III I II III 12 Railroad equipment I I IV V V V 21 Bicycles & parts I I II I I V 11 Truck body I II III II V I 14 Sundries Toys, sporting goods III I II I I I 9 Grass floor covering II I I I I I 7 Musical instruments V I I I V I 14 Ballpoint pens II III II I I II 11 Button III I II I I I 9 Plastic sheets & film III III III II V II 18 Straw products II I I I I I 7 Note: Scores are given in five points from I to V, I being the best in the context of the main text. Source: International Development Center of Japan, A Study of Industriali- zation in Five Countries in Southeast Asia, March 1974, pp. 165-168. -96- Table 22 Production of Selected Industrial Products Annual growth rates (%) Absolute Volume index: 1969/70 1969/70 level 1969/70 = 100 to to Products Unit 1976/77 1973/74 1976/77 1973/74 1976/77 Vegetable oil '000 tons 309 101.0 106.6 0.1 0.1 Cigarettes Bil. pieces 61 170.0 203.3 14.2 10.7 Textile yarn '000 bales 623 173.6 342.3 14.7 19.2 Fabrics Mil. meters 1,240 206.0 275.6 20.0 15.6 Matches Mil. boxes 772 206.7 287.0 20.0 16.3 Soap '000 tons 176 98.5 132.3 -0.4 4.1 Toothpaste Mil. tubes 104 213.3 693.3 21.0 32.0 Radio sets '000 pieces 1,100 247.3 302.2 25.5 17.1 Television sets '000 pieces 213 1,200.0 4,260.0 87.0 72.0 Sewing machines '000 pieces 400 3,571.0 2,857.1 200.0 63.0 Motorcycles '000 pieces 2678 714.3 1,271.1 64.0 44.0 Car batteries '000 pieces 480 437.5 1,500.0 45.0 47.0 Drycell batteries Mil. pieces 420 244.4 777.8 25.0 34.0 Car tires '000 pieces 1,883 371.9 514.5 38.0 26.5 Bicycle tires '000 pieces 7,297 266.7 330.1 28.0 18.6 Paper '000 tons 54 276.5 317.6 29.0 17.7 Urea '000 tons 412 136.5 484.7 8.0 25.5 Reinforcing iron '000 tons 296 2,400.0 5,920.0 170.0 78.0 Zinc plate '000 tons 156 777.8 1,733.3 68.0 50.0 Steel pipes '000 tons 107 4,000.0 5,350.0 300.0 76.0 Glass bottles '000 tons 57 308.0 475.0 40.0 25.0 Main new products (1973/74 = 100) Annual growth rate (1976-77) 1973-74 Acytelene '000 m3 100.0 291.9 - 43.0 Glass sheet square ft 100.0 138.0 - 11.5 Steel cables 100 tons 100.0 283.3 - 30.0 Source: Draft World Bank report "Indonesia: Basic Economic Report", Table 8.1. (Index and growth rates derived by the mission). Table 23 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY KIK Lending Operation by Bank as of December 31, 1974-1977 and as of September 1978 (in Rp million) tear Cumulative 1974 1975 1976 1977 1978 (Sept.) total Amount % Amount % Amount % Amount % Amount % Amount I Approvals Bank Rakyat Indonesia 7,447 49,0 7,827 62.0 12,341 57.1 12,619 51.3 11,162 47.7 51,396 52.7 Bank Bumi Daya 2,515 16.0 1,449 11.0 3,280 15.2 3,372 13.7 3,638 15.6 14,254 14.6 Bank Dagang Negara 2,182 14.0 587 5.0 1,189 5.5 832 3.4 1,493 6.4 6,283 6.4 Bank Ekspor Impor Ind. 1,098 7.0 388 3.0 817 3.3 870 3.6 812 3.5 3,985 4.1 Bank Negara Ind. 1946 1,676 11.0 1,126 9.0 2,304 10.7 4,255 17.3 3,518 15.0 12,879 13.2 Bapindo/Reg. Dev. Bank 418 3.0 1,271 10.0 1,687 7.7 2,635 10.7 2,341 10.0 8,352 8.6 National Private Bank - - - - - - - - 412 1.8 412 0.4 Total 15,336 100.0 12,648 100.0 21,618 100.0 24,583 100.0 23,376 100.0 97,561 100.0 Outstanding at end of period Bank Rakyat Indonesia 6,184 47.0 12,071 56.0 20,703 57.4 28,158 55.8 33,223 53.7 Bank Bumi Daya 2,171 16.0 2,929 13.0 5,320 14.7 6,849 13.6 8,690 14.0 Bank Dagang Negara 1,981 15.0 1,930 9.0 2,227 6.2 2,763 5.5 3,651 5.9 Bank Ekspor Impor Ind. 1,029 8.0 1,164 5.0 1,664 4.6 2,201 4.4 2,489 4.0 Bank Negara Ind. 1946 1,452 11.0 2,141 10.0 3,468 9.6 6,136 12.2 7,885 12.7 Bapindo/Reg. Dev. Bank 367 3.0 1,447 7.0 2,703 7.5 4,355 8.5 5,601 9.0 National Private Bank - - - - - - - - 381 0.7 Total 13,184 100.0 21,682 100.0 36,085 100.0 50,462 100.0 61,920 100.0 AEP Projects Department December 31, 1978 Table 24 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY KM11P Lending Operation by Bank as of December 31, 1974 and as of September 1978 (in Rp million) Year Cumulative 1974 1975 1976 1977 1978 (Sept.) total Amount % Amount % Amount % Amount % Amount % Amount % Approvais Bank Rakyat Indonesia 7,445 48.0 11,873 66.0 22,756 68.2 34,773 76.0 26,691 68.0 103,548 67.0 Bank Bumi Daya 1,796 11.0 981 5.0 1,988 6.0 2,622 4.8 4,351 11.0 11,738 8.0 Bank Dagang Negara 1,829 12.0 957 5.0 1,537 4.6 2,051 3.8 2,458 6.0 8,832 6.0 Bank Ekspor Impor Ind. 1,768 11.0 861 5.0 1,439 4.3 1,947 3.6 1,076 3.0 7,091 5.0 Bank Negara Ind. 1946 2,329 15.0 2,186 12.0 4,021 12.1 4,487 8.2 2,569 7.0 15,592 10.0 I Bapindo/Reg. Dev. Bank 429 3.0 1,257 7.0 1,618 4.8 2,030 3.6 1,203 3.0 6,537 3.6 I'D National Private Bank - - - - - - - 1,031 2.0 1,031 0.4 I Total 15,606 100.0 18,115 100.0 33,359 100.0 47,910 100.0 39,379 100.0 154,369 100.0 Outstanding at end of period Bank Rakyat Indonesia 7,337 52.4 15,241 61.0 25,681 62.0 39,824 64.4 51,509 63.0 Bank Bumi Daya 1,385 9.9 1,857 7.0 3,130 7.6 4,322 7.0 6,898 8.0 Bank Dagang Negara 1,428 10.0 1,497 6.0 2,128 5.1 2,829 4.6 3,906 5.0 Bank Ekspor Impor Ind. 1,581 11.3 1,881 8.0 2,716 6.5 3,727 6.0 4,011 5.0 Bank Negara Ind. 1946 1,919 14.0 3,016 12.0 5,591 13.5 7,941 12.8 10,609 13.0 Bapindo/Reg. Dev. Bank 340 2.4 1,390 6.0 2,200 5.3 3,195 5.2 3,360 4.0 National Private Bank - - - - - - - 911 2.0 Total 13,990 100.0 24,882 100.0 41,446 100.0 61,838 100.0 81,204 100.0 AEP Projects Department December 31, 1978 -99- Table 25 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY Cumulative KIK and KMKP Loan Approvals by Economic Sector As of September 30, 1978 (Rp million) KIK loans XMKP loans Economic sector Number Amount Z Number Amount z Agriculture 10,546 15,736 18.3 10,053 8,503 8.7 Industry Food, beverages and tobacco 2,594 5,668 6.6 3,729 5,595 5.7 (of which: rice milling) (1,450) (3,106) (3.6) (952) (1,693) (1.7) Textiles, garments and leather 820 1,589 1.8 3,291 5,476 5.6 Wood, wood products and furniture 700 1,898 2.2 2,781 4,748 4.9 Paper, paper products, printing and publishing 255 743 0.9 407 842 0.9 Chemicals and chemical products 99 258 0.3 228 436 0.4 Non-metallic minerals 969 2,204 2.6 1,970 2,625 2.7 Basic metals 30 88 0.1 129 198 0.2 Machinery tools and other metal products 417 949 1.1 1,040 1,684 1.7 Other 72 124 0.1 286 417 0.4 Subtotal 5,956 13,521 15.7 13,661 22,021 22.5 Trade Wholesale .nd export 2,350 6,521 7.6 10,245 20,480 20.9 Retail 7,769 10,506 12.2 17,406 29,524 30.2 Subtotal 10,119 17,027 19.8 27,651 50,004 51.1 Construction, transportation, hotels Construction 306 1,127 1.3 1,117 3,339 3.4 Transporta,cion 8,651 25,606 29.8 752 1,729 1.8 Hotels and restaurants 607 1,708 2.0 436 798 0.8 Subtotal 9,564 28,441 33.1 2,305 5,866 6.0 Other 1,179 3,396 4.0 1,410 2,285 2.3 Not categorized (up to Rp 501),000) 3,662 7,792 9.1 4,525 9,158 9.4 Total approvals 41,026 85,913 100.0 59,805 97,837 100.0 AEP Projects Department December 31, 1978 -1.00- Table 26 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY Cumulative Industrial KIK and KMKP Industrial Loan Approvals by Provinces As of September 30, 1978 (Rp million) Provincial population as percentage of national Industrial KIK Loans Industrial KMKP Loans Province population Number Amount % Number Amount X Sumatra Aceh 1.7 200 554 3.8 267 477 2.0 North Sumatra 5.6 327 882 6.0 583 1,244 5.2 West Sumatra 2.4 228 612 4.2 192 444 1.9 Riau 1.4 86 245 1.7 121 243 1.0 Jambi 1.0 69 156 1.1 98 168 0.8 South Sumatra 2.9 117 267 1.8 175 368 1.5 Bengkulu 0.4 21 56 0.4 30 68 0.3 Lampung 2.3 89 263 1.6 116 304 1.3 Subtotal 17.7 1,137 3,035 20.6 1,582 3,336 14.0 Java West Java 18.3 760 2,048 13.9 1,859 3,576 15.0 Jakarta 2.8 209 717 4.9 301 882 3.6 Central Java 18.5 1,015 2,218 15.1 3,437 5,884 24.5 Yogyakarta 2.1 379 656 4.5 948 1,495 6.3 East Java 21.5 1,490 3,112 21.2 4,461 5,689 23.8 Subtotal 64.2 3,853 8,751 59.6 11,006 17,486 73.2 Kalimantan West Kalimantan 1.7 20 58 0.4 48 101 0.4 South Kalimantan 1.4 94 265 1.8 160 281 1.2 Central Kalimantan 0.6 54 166 1.1 54 124 0.5 East Kalimantan 0.6 23 68 0.2 42 88 0.4 Subtotal 4.3 191 557 3.8 304 594 2.5 Sulawesi North Sulawesi 1.5 84 151 1.0 136 221 0.9 Central Sulawesi 0.7 76 128 0.9 140 167 0.7 South Sulawesi 4.4 388 800 5.4 475 695 2.9 Southeast Sulawesi 0.6 49 80 0.6 72 94 0.4 Subtotal 7.2 597 1,159 7.9 823 1,177 4.9 Other Provinces Maluku 0.9 13 24 0.2 28 35 0.2 Irian Jaya 0.1 44 139 1.0 54 133 0.6 West Nusa Tenggara 1.9 20 44 0.3 32 41 0.2 East Nusa Tenggara 1.9 146 300 2.0 177 177 0.7 Bali 1.8 342 677 4.6 654 906 3.7 Subtotal 6.6 565 1,184 8.1 945 1,292 5.4 Total approvals 100.0 6,343 14,686 100.0 14,660 23,885 100.0 AEP Project Department Fohrl-ry 17, 1979 -101- Table 27 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY Total KIK and KMKP Arrears As of Dec, 31, 1975-77 and Sep. 30, 1978 (Rp billion) Classification /a 1975 1976 1977 1978 (Sep. 30) Kurang Lancar KIK 1.24 2.37 5.77 7.34 KMKP 0.85 5.06 4.89 7.48 Diragukan KIK 0.07 0.50 1.30 1.49 KMKP 0.29 2.02 3.14 4.09 Dianggap Rugi KIK 0.00 0.00 0.08 0.26 KMKP 0.00 0.69 0.24 0.14 Tidak Terperinchi KIK 0.06 0.54 0.62 0.17 KMKP 0.02 0.69 0.24 0.14 Total Arrears KIK 1.37 3.41 7.77 9.26 KMKP 1.16 7.77 8.33 11.87 As % of outstanding portfolio KIK 6.3 9.4 15.4 15.0 KMKP 4.7 18.7 24.9 18.5 /a The lending banks report their KIK/KMKP arrearages according to Bank Indonesia's classification, which is based on the following definitions: (1) Kurang Lancar - Principal and interest amount overdue for more than 3 months and 1 months respectively, which are considered fully recoverable. (2) Diragukan - overdue amounts as under (1), with a collection probability of at least 50%. (3) Dianggup Rugi - as under (2) with a collection prrobability of less than 50%. (4) TIDAK Terperinchi - write-offs. AEP Project Department December 31, 1978 -102- Table 28 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY Estimated Industrial KIK and KMKP Arrears As of Dec, 31, 1975-77 and Sep. 30, 1978 (Rp billion) 1975 1976 1977 1978 (Sep. 30) Estimated/a Industrial Arrears KIK 0.04 1.99 2.63 2.72 KMKP 0.08 2.48 3,66 3.74 KMKP (adjusted)/b 0.08 1.00 2.00 2.00 Arrears as % of outstanding Industrial portfolio KIK n.a. n.o. n.a. 11.3. KMKP n.a. n.a. n.a. 15.7. KMKP (adjusted) n.a. n.a. n.a. 8.4. Estimated number of loans in _arrears as % of total loan outstanding KIK n.a. n.a. n.a. 8.9. KMKP n.a. n.a. n.a. 8.9. /a Estimates are based on the mission's discussions in the field with various lending banks and on actual data for one particular bank, whose industrial portfolio accounts for some 30% of all industrial KIK/KMKP Laos. /b Estimated KMKP arrearages for 1976-1978 have been adjusted by eliminating 15 loans in one particular province (Jakarta Raya) which were not strictly the industrial KMKP Loans. AEP Project Department February 17, 1979 -103- Table 29 INDONESIA SHALL-SCALE INDUSTRY SECTOR STUDY Characteristics of Cumulative KIK and KMKP Loan Approvals As of September 30, 1978 (Rp million) KIK loans KMKP loans Number % Amount % Number % Amount 7. Distribution by Amount Less than 1 million 14,896 36.3 7,641 10.8 28,184 47.1 16,437 16.8 1-2 million 9,'297 22.7 15,'981 16.6 17,386 29.1 29,648 30.3 2-3 million 7,063 17.2 18,786 21.9 6,849 11.5 18,765 19.2 3-4 million 3',613 8.8 13,280 15.5 3,250 5.4 12,316 12.6 4-5 million 6,'157 5.0 30,225 35.2 4,136 6.9 20,671 21.1 Total 41,026 100.0 85,913 100.0 59,805 100.0 97,837 100.0 Distribution by Maturity Less than 1 year 1,233 3.1 850 0.9 5,451 9.1 4,603 4.7 1-2 years 3,271 7.9 4,310 5.0 16,980 28.4 22,194 22.7 2-3 years 16,901 41.2 31,580 36.8 37,374 62.5 71,041 72.6 3-4 years 7,2!98 17.8 19,907 23.2 - - 4-5 years 12,323 30.0 29,266 34.1 - - Total 41926 100.0 85,913 100.0 59,805 100.0 97,837 100.0 Purpose of Financing Building 11,L'82 27.3 16,818 19.6 Equipment 22,703 55.3 56,728 66.0 Other 7,1.41 17.4 12.367 14.4 Total 41,026 100.0 85,913 100.0 Type of Project Expansion 28,'540 69.6 66,851 77.8 Modernization 7,2,13 17.6 9,495 11.1 New development 5,273 12.8 9,567 11.1 Total L1026 100.0 85,913 100.0 Existing project 56,324 94.2 94,969 97.1 New project 3,480 5.8 2,868 2.9 Total 59,805 100.0 97,837 100.0 AEP Project Department February 17, 1979 -104- Table 30 INDONESIA SMALL-SCALE INDUSTRY SECTOR STUDY Characteristics of Cumulative Industrial KIK and KMKP Loan Approvals As of September 30, 1978 (Rp million) RIK loans KMKP loans Number % Amount % Number % Amount % Purpose of Financing Building 1,269 20.0 2,808 19.1 Equipment 4,304 67.9 10,301 70.1 Other 770 12.1 1.577 10.8 Total 6,343 100.0 14,686 100.0 Type of Project Expansion 4,998 78.8 11,601 79.0 Modernization 554 8.7 1,020 6.9 New development 791 12.5 2,065 14.1 Total 6,343 100.0 14,686 100.0 Existing project 14,544 99.2 23,655 99.0 New projc:t 166 0.8 230 1.0 Total 100.0 100.0 14,660 1050 23,885 100.0 AEP Project Department February 17, 1979 -105- ADDITIONAL STATISTICAL TABLES Introduction The Additional Statistical Tables derived from the data tapes of the 1974/75 Census are presented below. They related to SMLIs and present data by employment size (5-9, 10-14, 15-19, 20-49, 50-74, 75-99, 100-400, 500+) in terms of the number of persons engaged in an establishment. They also present the data by the three segments: SI, MI & LI. A list of codes and names of industrial groups (three-digit codes), industries (five-digit code) and provinces (two-digit codes) is given on pp. 93, 94 and 151. The tabulation relates to all establishments whether using or not using power. These are two sets of tables. Set A presents the tables by the three-digit industry group code (30 groups), and Set B by the two-digit province code (26 provinces)./1 The absolute levels of the following characteristics are presented by the size class for all SMLIs by industry (or province): Table IA. Number of establishments by industry Table 2A. Number of persons engaged by industry Table 3A. Number of paid employees by industry Table 4A. Number of mandays worked per year by industry Table 5A. Value of gross output per year by industry Table 6A. Value added per year by industry Table 7A. Wages & salaries per year by industry Moreover, the following six tables show the data per establishment/persons engaged/paid employees, etc., by industry (or province): Table 8A. Number of persons engaged per establishment by industry Table 9A. Number of mandays worked per paid employee per year by industry Table IOA. Value added per person engaged per year by industry Table 11A. Wages & salaries per paid employee per year by industry Table 12A. Wages & salaries per paid employee per day by industry Table 13A. Wages & salaries as % of value adeed by industry The next four tables show the size distribution, that is, the percentage distribution of a characteristic for the total of each industry (or province) by the employment size. Table 14A. Number of establishments as % of total for the industry Table 15A. Number of persons engaged as % of total for the industry Table 16A. Gross output as % of total for the industry Table 17A. Value added as % of total for the industry /1 Tables by the five--digit industry code (131 industries) are available on request. Similarly, tables for power (or not power) using establish- ments only are also available on request. -106- Finally, the last four tables show the percentage distribution of a characteristic for each size class by industry (or province). Table 18A. Number of establishments as % of total for the size class by industry Table 19A. Number of persons engaged as x of total for the size class by industry Table 20A. Gross output as % of total for the size class by industry Table 21A. Value added as % of total for the size class by industry Tables lB to 21B represent the above statistical data by a province (instead of an industry). Provinces Codes and Names Serial No. Code Name 1 11 D.I. Aceh 2 12 Sumatra, North 3 13 Sumatra, West 4 14 Riau 5 15 Jambi 6 16 Sumatra, South 7 17 Bengkulu 8 18 Lampung 9 31 D.K.I. Jakarta 10 32 Java, West 11 33 Java, Central 12 34 D.I. Jogyakarta 13 35 Java, East 14 51 Bali 15 52 Nusa Tenggara, West 16 53 Nusa Tenggara, East 17 61 Kalimantan, West 18 62 Kalimantan, Central 19 63 Kalimantan, South 20 63 Kalimantan, East 21 71 Sulawesi, North 22 72 Sulawesi, Central 23 73 Sulawesi, South 24 74 Sulawesi, Southeast 25 81 Maluku 26 82 Irian Jaya -10 7- DATE 04/13/79 TIME 6:39PM Table IA. I ?1ONE SI A SURVEY OF SML*mEo+LGE ESTABLISHMENTS. 1974 NUIMBER OF ESTABLISHMENTS BY SIZE CLASS SIZE CLUSS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 a UP 5- 19 20- 99 100 & UP ALL ¶ 311+312 17886. 1B36. 784. 1148. 156. s0. 163. 68. 20506. 1384. 231.. 22121. 2 313 267. a6. 45. 45. 7. 3. 8. 2. 398. 55. 8. 461. 3 314 213. 104. 60. 372. 121. 54. 168. 51. 377. 547. 219. 1143. 4 321 2394. 1178. 814. 1363. 252. 125. 236. 62. 4386. 1740. 298. 6424. B 322 478. 83. 43. 59. 10. 0. S. 0. 604. 69. 5. 678. 6 323 121. 20. S. 16. 5. 1. S. 0. 149. 22. S. 176. 7 324 300. 30. 22. 24. 2. 2. 1. 3. 352. 28. 4. 384. B 331 2256. 489. 238. 271. 38. 17. 38. 3. 2983. 324. 41. 3348. 9 332 1782. 268. 109. 75. 8. 2. S. 0. 2159. 85. 8. 2252. 10 341 29. 17. 13. 36. 8. I- 8. 7. 59. 45. 1s. 119. li 342 477. lBs. 105. 160. 35. li. 29. 2. 767. 206. 31. 1004. 12 351 63. 31. 14. 35. 10. 9. 14. 3. 108. 54. 17. 179. 13 352 291. 101. 65. 119. 39. 18. 48. 8. 457. 176. 56. 689. 14 355 264. 89. 64. 214. 85. 37. 131. 8. 417. 336. t3g. 892. 15 356 155. 80. s0. 84. 21. 10. 25. 0. 285. 115. 25. 425. 16 361 167. 22. 8. 16. 2. 1. I. 1. 197. Is. 2. 218. 1 7 362 14. 3. 4. 21. 10. I1. 1a. 2. 21. 32. 20. 73. la 363 1326. 370. 171. 195. 18. 4. 9. 4. 1867. 217. 13. 2097. 19 384 30S4. 453. 196. 140. 22. S. 6. 0. 3713. 167. 6. 3888. 20 369 64. 26. 12. 9. 3. 0. 1. 0. 102. 12. 1. 115. 21 381 1802. 230. 129. 147. 35. Is. 54. 6. 2i61. 197. 60. 2418. 22 382 lOS. 38. 14. 40. II. 2. 14. 2 . 157. 53. 16. 226. 23 363 38. 16. 6. 21. 10. S. 23. 5. 60. 39. 28. 127. 24 384 280. 69. 36. 66. 9. 12. 26. 7 . 387. 87. 33. 507. 25 385 21. 12. 5. 12. 2. 0. I1. 0. 38. 14. 1. 53. 26 390 500. 115. 47. 45. 3 . 5. 7. 3 . 662. 53. 10. 725. …-- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -: - - - - - - - - - - - - - - - - - 27 TOTAL 34363. 5953. 3045. 4737. 921. 427. 1054. 247. 43381 6085. 1301 50767. …-- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -108- DATE 04/13/79 TIME 6:39PM Table 2A. INDONESIA SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1914 NUMBER OF PERSONS ENGAGED BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT __________________________--_____________________--_______---_________--__--________________---______________________ CODES 5- 9 10- 14 Is- l9 20- 49 50- 74 75- 99 100-499 500 B UP 5- 19 20- 99 100 & UP ALL I 31.+312 105067 21058. 13124. 31939. 9152. 6755. 28889. 65673. 139249. 47846. 94562. 281657. 2 313 1646. 1004. 766. 1178. 392. 241. 1651. 1352. 3416. 1811. 3003. 8230. 3 314 1405. tt98. 991. 10534. 6462. 4013. 32025. 88067. 3594. 21009. 120092. 144695. 4 321 ¶6261. 13647. 13766. 38439. 14263. 10406. 44749. 60722. 43674. 63108. 105471. 212253. S 322 2916. 954. 724. 1634. 566. 0. 715. 0. 4594. 2200. 715. 7509. 6 323 753. 230. 126. 502. 328. 83. 573 0. 1109. 913. 573. 2595. 7 324 1898. 345. 363. 1335. 112. 174. 177. 3290. 260e. 1621. 3467. 7694. 8 331 14545. 5544. 4014. 7415. 2082. 1490. 8911. 1313. 24103. 10987. 10224. 45314. 9 332 10980. 3057. t8t8. t980. 483. 172. 989. 0. 15855. 2635. 989. 19479. 1O 341 198. 210. 223. 1115. 455. 74. 1406. 4422. 631. 1644. 5828. 8103. II 342 3145 2161. 1737. . 4531. 2097. 950. 5836. 1471. 7043. 7578. 7307. 21928. 12 351 418. 359 231. 1029. 579. 771. 2093. 3106. 1008. 2379. 5199. 8586. 13 352 1849. 1173. 1083. 3569. 2279. 1493. 9670. 7404. 4105. 7341. 17074. 28520. 14 355 1687 1066 1092. 6794. 5098. 3122. 25683. 5730. 3845. 15014. 31413. 50272. 15 356 1031 929. 855. 2388. 1286. 894. 4805. 0. 2815. 4568. 4805. 12188. 16 361 1016. 256. 131. 497. 117. 80. 99. 335. 1403. 654. 434. 2491. 17 362 95. 36. 65. 672. 572. 88. 3421. 1329. I96. 1332. 4750. 6278. 18 363 8452. 4261. 2862. 5311. 1071. 323. 1422. 3910. 15575. 6705. 5332. 27612. 19 364 19042. 5128. 3269. 3538. 1277. 421. 849. 0. 27439. 5236. 849. 33524. 20 369 437. 301. 202. 284. 172. 0. 427. 0. 940. 456. 427. 1823. 21 381 10933. 2612. 2142. 4191. 2046. 1287. 9896. 4306. 15687. 7524. 14202. 37413. 22 382 693. 440. 240. 1203. 645. 176. 3199. 2228. 1373. 2024. 5427. 8824. 23 383 230. 190. 105. 688. 607. 709. 5293. 5021. 525. 2004. 10314. 12843. 24 384 1814. 810. 640. 1869. 537. 1064. 5456. 915. 3264. 3470. 11371. 18105. 25 385 133. 132. 83. 348. 120. 0. 103. 0. 34a. 468. 103. 919. 26 390 3152. 1316. 786. 1302. 200. 427. 1299. 1841. 5254. 1929. 3140. 10323. 27 TOTAL 209837. 68440. 51456. 134365. 53052. 35557. 201184. 267435. 329733. 222974. 468619. 1021326. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ _ - - - - - - - - - - - - - - - _ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -109- DATE 04/13/79 TIME 6:39PM Table 3A. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS, 1974 NUMBER OF PAID EMPLOYEES BY SIZE CLASS ......................... ..................................................... _._............ ............................................................................................__ ................._.. SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 1s- 19 20- 49 50- 74 75- 99 100-499 SOO & UP 5- 19 20- 99 100 & UP ALL -------------------------------_--------.-_---------------.-----_-______-----__-----------------------------------------______------ I 311+312 72184. 17850. 11965. 30636. 8990. 6692. 28873. 65673. 101999. 46318. 94546. 242863 2 313 1164. 867. 699. 1152. 389. 241. 1648. 1352. 2730. 1782. 3000. 7512. 3 314 1012. 1017. 886. 10024. 6293. 3953. 31911. 8805S. 2915. 20270. 1t9966. 143151. 4 321 12436. 11696. 12441. 36209. 13927. 10249. 44609. 60697. 36573. 60385 105306. 202264. 5 322 2131. 798. 659. 1555. 560. 0. 712. 0. 3588. 2115. 712. 6419. 6 323 576. 199. 118. 481. 326. 83. 570. 0. 893. 890. 570. 2353. 7 324 1544. 295. 331. 1305. 99. 174. 177. 3290. 2170. 1578. 3467. 7215. 8 331 11030. 4827. 3722. 7219. 2060. 1488. 8902. 1313. 19579. 10767. 10215. 40561. 9 332 8137. 2682. 1608. 1891. 473. 172. 988. 0. 12427. 2536. 988. 15951. 10 341 i54. 189. 209. 1068. 452. 73. 1405. 4422. 552. 1593. 5827. 7972. 11 342 2598. 1971. 1622. 4459. 2087. 950. 5835. 1471. 6191. 7496. 7306. 20993. 12 351 337. 335. 220. 999. 571. 765. 2092. 3106. 892. 2335. 5198. 8425. 13 352 1402. 1044. 1012. 3499. 2265. 1489. 9661. 7404. 3458. 7253. 17065. 27776. 14 355 1408. 988. 1043. 6720. S085. 3120. 25679. 5730. 3439. 14925. 31409 49773. is 356 812. 817. 795. 2313. 1284. 894. 4805. 0. 2424. 4491. 4805. 11720. 16 361 655. 227. 119. 445. 113. 80. 93. 335. DOOl. 638. 428. 2067. 17 362 76. 28. 57. 652. 565. 88. 3419. 1329. 161. 1305. 4748. 6214. 18 363 6659. 3717. 2629. 5118. 1056. 318. 1421. 3910. 13005. 6492. 5331. 24828. 19 364 13994. 4396. 2888. 3356. 1261. 414. 845. 0. 21278. 5031. 845. 27154. 20 369 359. 260. 186. 278. 170. 0. 427. 0 805. 448. 427. 1680. 21 381 8217. 2267. 1955. 4053. 2022. 1282. 9880. 4304. 12439. 7357. 14184. 33980. 22 382 546. 394. 224. 1170. 642. 176. 3198. 2228. 1164. 1988. 5426. 8578. 23 383 178 161. 99. 681. 607. 709. 5293. 5021. 438. 1997. 10314. 12749. 24 384 1403. 725 S91. 1807. 532. 1063. 5454. 8915. 2719. 3402 11369. 17490. 25 385 106. 120. 75. 332. 119. 0. 101. 0. 301. 451. 101. 853. 26 390 2371. 11O3. 660. 1245. 198. 419. 1294. 1840. 4134. 1862. 3134. 9130 27 TOTAL 151524. 58995. 46830. 128784. 52200. 35236. 200840. 267395. 257349. 216220. 468235. 941804. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ - - - - - - - - - - - - - - _ _ - - - - - - - - - - - _ - - - - - - - - - - - - - - - - - - -_ - - - - - - - - - - - - - - - - - - - - - - -110- OATE 04/13/79 TIME 6.39PM Table 4A. INDONESIA SURVEY OF SML.MED+LGE ESTA8LISHMENTS. 1974 MAN-DAYS WORKED PER YEAR BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20.- 49 50- 74 75- 99 100-499 500 & UP 5- I9 20- 99 1OO & UP AL, 1 311431214631998. 3924201. 2766619. 6985639. 2046040. 1588753. 6728383. 14933738. 21322818. 10620432. 21662121. 53605371. 2 313 235245. 212206. 179379. 253610. 90112. 53601. 231999. 275460. 626830. 387323. 507459. 1521612. 3 314 120225. 124299. 109801. 1387038. 1014057. 660178. 7580574 24728233. 354325. 3061273. 32308807. 35724405. 4 321 2529639. 2579156. 2945396. 9644774. 3782405.' 2708443. 11613762. 14905557. 8054191. 16135622. 265t9319. 50709132. 5 322 430509. 185067. 158504. 354316. 134523. 0. 162562. 0. 774080. 488839. 162562. 1425481. 6 323 146683. 58288. 33780. 123690. 84122. 23760. 134346. 0. 238751. 231572. 134346. 604669. 7 324 302417. 74112. 82205. 352960. 27722. 43473. 42156. 706323. 458734. 424155. 748479. 1631368. 8 331 2086706. 1030147. 821975. t496365. 455587. 350940. 1821054. 303157. 3938828. 2302892. 2124211. 8365931. 9 332 1866654. 705117. 449896. 475469. 108809. 34324. 247076. 0. 3021667. 618602. 247076. 3887345. 10 341 36300. 40878. 46868. 259464. 105618. 9386. 317990. 937130. 124046. 374468. 1255120. 1753634. 11 342 672381. 546682. 455i44. 1085599. 514304. 215206. 1260381. 348708. 1674207. 1815109. 1609089. 5098405. 12 351 65592. 80003. 59428. 224783. 98897. 172554. 435059. 628432. 205023. 496234. 1063491. 1764748. 13 352 273221 247330. 260680. 781005. 496645. 296065. 1863330. 1741777. 781231. 1573715. 3605107. 5960053. 14 355 317841. 228984. 250542. 1557382. 1146631. 748407. 6164222. 1353907. 797367. 3452420. 7518129. 11767916. 15 356 171866. 206114. 210592. 571901. 296205. 228380. 1244853. 0. 588572. 1096486. 1244853. 2929911. 16 361 121771. 56708. 27752. 103753. 33643. 18496. 22251. 94432. 206231. 155892. 116683. 478806. 17 362 19106. 5364. 13131. 162825. 118019. 22338. 719901. 331860. 37601. 303182. 1051761. 1392544. la 363 1112862. 790581. 636633. 1265801. 260175. 71107. 366935. 960217. 2540076. 1597083. 1327152. 5464311. 19 364 2407872. 826326. 569502 823197. 314974. t14463. 233066. 0. 3803700. 1252634. 233066. 5289400. 20 369 65485. 48943. 53064. 64996. 41627. 0. 110268. 0. 167492. 106623. 110268. 384383. 21 381 1744788. 562646. 514566. 1033008. 478577. 280654. 2264389. 988468. 2822000. 1792239. 3252857. 7867096. 22 382 141579. 113739. 65756. 295867. 142639. 50678. 675631. 481607. 321074. 489184. 1157238. 1967496. 23 383 44946. 41O37. 29456. 155858. 125801. 148131. 1158334. 1136265. 115439. 429790. 2294599. 2839828. 24 384 323933. 183364. 160711. 454261. 134832. 236896. 1200032. 1141930. 668008. 825989. 2341962. 3835959. 25 385 29798. 30704. 22668. 90493. 34080. 0. 13000. 0. 83170. 124573. 13000. 220743. 26 390 514332. 253400. 145908. 297137. 56862. 94758. 350150. 365768. 913640. 448757. 715918. 2078315. 27 TOTAL 30423745. 13161156. 11071231. 30334412. 12143140. 8250795. 47296033. 66362969. 54656132. 50728347.113659002 219043481. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ _ - - - - - - - - -_ _ - - - - -_ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - *~~~~~~~~~r I a 000W 0 00I0 r)t- D 0- Q 0 4'9of 0-(9 (9D * I I (9 NN ~~~~~~~~N 1I t * II CO t I * *~~ * (93031 (9(9000 OrIPIN- 00(93101 (~~9(9000 01 - K Ip * I0i 0I i 01-W om-( NWN 090 ml ,o,-- o' (Sp * I ~~~I . - . ..S I.. . . . . . * I I I~~~~~~~~~~~~~~M ' N 00 * 101 I~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~0 * 150001CI (9(9~~~~~r-0 v n ;zm 4(9 -CO Or mp 0 0o4w .eIf NI to * 0 ~~~~~~~~- o - OW-Q~~~~~~00 0 1- Mm 01 * to S 0 CD Lo a, 14 'W* I IN * I (9- IIWw1 31,r U~ m (13 in. 11.39 v)(9 I E VI 01(9 0 Iv p c 0) (9(9( ONt 0 -w v,0 I X . IQ . I .3..T D400r OC CO" t D CP GuI if)I * 1--0 (v 1-0(9 mOn IOWC4NW I .3 *4IGI(9.-01Q ~~~~~~~~~~~~~~~~~~(9 - .W I~~~~~~~0 1-I I 5*11: I1 .I I . . . . . . . I- v. to (P W r-01 0 la 0 00- a qa 1-0 (11) 30 00 010 228 .- SD-~t,t, n mOOl-, I,) nWO9 - 9 6. * 41 I I I~~IOtWIUP 0co I--4 .4fl 5 3 Ir * * ZI S I I~~~~~0 C 1 t Ma 0)- 5 0101 I~~~~~~~~~~~~~~~~~~~~~~~~0 I 00 5 *01 I 010-NN0 -mWO(9 0(9001 OW1~~~~~~~~~~0O V 4- 0 I 0.31 * 31 -1 -(9(90-~to tvg v vw i i 0 (9-~ It XVI * O N S N I 01~~~~~~~~~n v c 1111 I El I I~~~~~v )P; V; i; n v 0 I 0 I WI I I~~~~~~~~~" , m , ww w ww w ww 0 I * 0.1 I I~~~~~~~~~~~~~~~~~~~~~~~~~~~;OoW -112- DATE 04/13/79 TIME 6:39PM Table 6A. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 VALUE AODED (ML.RUPIAHS) BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT -----------------------------------------------------------__----------------__------------------------------------- CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 S UP 5- 19 20- 99 100 E UP ALL 1 311+312 15896. 4321. 3745. 12353. 3658. 11157. 2B566. 61925. 23963. 27168. 90491-. 141622. 2 313 222. 152. 153. 392. 98. 592. 4810. 8686. 528. 1082. 13496. 15105. 3 314 112. 113 90. 1203. 702. 715. 16113. 87343. 315. 2619. 103456. 106389. 4 321 1302. 1455. 1651. 19798. 2739. -850. 14969. 31527. 4408. 21687. 46497. 72591. 5 322 353. 174. 140. 372. 80. 0. 89. 0. 667. 453. 89. 1209. 6 323 108. 67. 62. 171. 102. 46. 370. 0. 237. 319. 370. 926. 7 324 301. 120. 92. 1650. 40. 55. 65. 2587. 513. -1555. 2652. 1610. 8 331 2340. 1215. 762. 2075. 831. 490. 7358. 817. 4318. 3396. 8175. 15888. 9 332 1463. 566. 436. 483. 92. 110. 544. 0. 2465. 685. 544. 3694. 10 341 24. 21. 26. 345. t77. t. 774. 3796. 71. 524. 4571. 5165. II 342 638. 481. 430. 1123. 1114. 802. 2758. 645. 1550. 3040. 3404. 7993. 12 351 176. 141. 160. 479. 520. 707. 3026. 6626. 478. 1706. 9652. 11836. 13 352 334. 442. 229. -1602. 1458. 1340. 8034. 4618. 1004. 1196. 12652. 14852. 14 355 343 483. 441. 3447. 4547. 2643. 19412. 8095. 1268. 10637. 27507. 39412. 15 356 194. 198. 170. 694. 332. 434. 1688. 0. 562. 1460. 1688. 3710. 16 361 56. 34. 30. 231. 9. 9. 5. -9. 120. 249. -4. 364. 17 362 19. 2. 13. 268. 119. 9. 1739. 2871. 34. 396. 4610. 5040. 18 363 889. 724. 621. -2306. 350. 178. 484. 1077. 2234. -1779. 10660. 11116. 19 364 1187. 335. 223. 517. 451. 40. 153. 0. 1745. 1008. 153. 2906. 20 369 38. 23. 63. 50. 160. 0. 100. 0. 124. 210. 0OO. 434. 21 381 1345. 409. 475. 1242. 843. 736. 3375. 4885. 2229. 2822. 8260. 13310. 22 382 123. 115. 55. 523. 335. 1236. -975. 506t. 293. 2094. 4086. 6472. 23 383 57. 79. 149. 448. 343. 321. 8977. 5725. 285. 1111 14702. 16099. 24 384 354. 190. 230. 773. 506. 982. 10872. 9630. 774. 2262. 20501. 23537. 25 385 21 15. 21 141. 20. 0. II. 0. 57. 161. It. 230. 26 390 328. 200. 91. 308. 36. 93. 569. 590. 618. 437. 1159. 2215. 27 TOTAL 28235. 12080. 10560. 41892. 19686. 22983. 136711. 255595. 50875. 84561. 392306. 527742. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ _ - - - - - - - - - - - - - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -113- DATE 04/13/79 TIME 6 39PM Table 7A. INOONESIA * SURVEY OF SML-tED+LGE ESTABLISHMENTS, 1974 WAGES & SALARIES(ML.RUPIAHS) BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP S- 19 20- 99 100 a UP ALL 1 311+312 3593. 1091. 986. 2309. 911. 655. 3638. 11294. 5670. 3875. 14932. 24478. 2 313 68. 58. 52. 127. 48. 58. 586. 1105. 179. 233. 1691. 2103. 3 314 25. 22. l8. 275. 176. 132. 1930. 6512. 65. 583. 8442. 9090. 4 321 538. 555. 673. 2307. 1010. 697. 4486. 10010. 1765. 4015. 14496. 20276. 5 322 128. 56. 53. 154. 52. 0. 61. 0. 237. 205. 61. 503. 6 323 39. 22. 9. 44. 28. 7. a5. 0. 71. 78. 85 234. 7 324 122. 36. 40. 165. 10. 13. 31. 1236. 198. 187. 1267 1652. 8 331 795. 377. 309. 816. 290. 210. 1768. 283. 1480. 1315. 2051. 4847. 9 332 855. 261. 208. 232. 59. 67. 199. 0. 1124. 357. 199. 1680. 10 341 7. 8. 10. 81. 66. 1. 332. 1258. 25. 149. 1590. 1763. I1 342 276. i73. 159. 576. 291. 204. 964. 129. 608. 1071. 1093 2772. 12 351 23. 26. 16. 120. 104. 155. 492. 1964. 65. 379. 2456. 2901. 13 352 77. 71. 153. 475. 379. 317. 2633. 1802. 30i. 1170. 4435. 5905. 14 355 77. 77. 79. 633. 572. 409. 3567. 2008. 233. 1614. 5574. 7422. 15 356 5t. 58. 68. 250. 167. 126. 510. 0. 177. 544. 5tO. 1231. 16 361 25. 14. 9. 71. 6. 5. 3. 25. 49. 82. 28. 159. 17 362 5. 0. 5. 60. 64. 5. 651. 743. 10. 128. 1393. 1532. Is 363 309. 246. 226. 437. 108. 46. 155. 2092. 781. 592. 2247. 3620. 19 364 557. 178. t19. 212. 100. 23. 75. 0. 854. 336. 75. 1264. 20 369 17. it. 17. 22. 32. 0. - 69. 0. 45. 54. 69. 168. 21 381 542. 182. 164. 446. 254. 287. 1676. 1049. 888. 987. 2725. 4600. 22 382 50. 41. 31. 144. 103. 108. 821. 248. 123. 355. 1068. 1546. 23 383 18. 12. II. 152. 112. 164. 1139. 1580. 40. 428. 2719 3187. 24 384 128. 75. 63. 278. 77. 208. 1738. 2320. 267. 563. 4058. 4889. 25 385 10. 8. 8. 41. 18. 0. 4. 0. 26. 58. 4. 8S. 26 390 .159. 74. 39. 1OO. 14. 39. 120. 270. 272. 153. 390. 816. 27---TOTAL----8299.---3735.----3527.-------_0544.----5056.----4024.__--2--166._--45926.----15----1.---19624.----74092.----109277.--- 27 TOTAL 8299. 3735. 3527.. 10544. 5056. 4024. 28166. 45926. 15561. 19624. 74092. 109277. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ _ - - - - - - - - - - - - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -114- DATE 04/13/79 TTMN 6:39PM Table 8A. INDONESIA SURVEY OF SML*MED+LGE ESTABLISHMENTS. 1974 NUN9ER OF PERSONS ENGAGED PER ESTABLISHMENT BY SIZE CLASS SIZE CLASS BY NUM8ER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I 311+312 6. II. 17. 28. 59. 84. 177. 966. 7. 35. 409. 13. 2 313 6. 12. 17. 26. 56. 80. 275. 676. 9. 33. 37S. 18. 3 314 7. 12. 17. 28. 53. 74. 191. 1727. 10. 38. 548. 127. 4 321 7. 12. 17. 28. 57. 83. I90. 979. 10. 36. 354. 33. 5 322 6. II. 17. 28. 57. 0. 143. 0. 8. 32. t43. II. 6 323 6. 12. 16. 31. 66. 83. 119. 0. 7. 42. 115. Is. 7 324 6. 12. 17. 56. s6. 87. 177. 1097. 7. S5. 867. 20. 8 331 6. 11. 17. 27. 58. 88. 235. 438. 8. 34. 249. 14. 9 332 6. I1. 17. 26. 60. 86. 124. 0. 7. 31. 124. 9. 10 341 7. t2. 17. 31. 57. 74. 176. 632. II. 37. 389. 68. 11 342 7. 12. 17. 28. 60. 86. 201. 736. 9. 37. 236. 22. 12 351 7. 12. 17. 29. 58. 86. 150. 1035. 9. 44. 306. 46. 13 352 6. 12. 17. 30. s8. 83. 201. 926. 9. 42. 305. 41. 14 355 6. 12. 17. 32. 60. 84. 196. 716. 9. 45. 226. 56. 15 356 7. 12. 17. 28. 61. 89. 192. 0. 10. 40. t92. 29. 16 361 6. 12. 16. 29. 59. B0. 99. 335. 7. 34. 217. 11. 17 362 7. 12. 16. 32. 57. se. I90. 665. 9. 42. 238. 86. 1l 363 6. 12. 17. 27. 60. Sa. 158. 978. 8. 31. 410. 13. 19 364 6. II. I7. 25. 58. 64. 142. 0. 7. 31. 142. 9. 20 369 7. 12. 17. 32. 57. 0. 427. 0. 9. 38. 427. 16. 21 381 6. II. 17. 29. 58. 86. 183. 718. 7. 36. 237. IS. 22 382 7. 12. 17. 30. 59. 88. 229. 1114. 9. 38. 339. 39. 23 383 6. 12. is. 33. 61. 89. 230. 1004. 9. S1. 368. 101. 24 384 6. 12. 17. '28. 60. 89. 210. 849. S. 40. 345. 36. 25 385 6. II. 17. 29. 60. 0. 103. 0. 9. 33. 103. 17. 26 390 6. I1. 17. 29. 67. 85. 166. 614. 8. 36. 314. 14. 27-----TOTAL---------6.--------------17.------28.------58.------83.-__-------1.-----1083.__-------6-_-_-37.------360.--------20.--- 27 TOTAL 6. I1. 17. 28. 58. 83. 19t . tO93. S. 37. 360. 20. --------------------------------------------------------------------__-------__-----------------------_---------------------------- -115- OATE 04/13/79 TIME 6 39PM Table 9A. INDONESIA SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 NIAN-DAYS WORKED PER PAID EMPLOYEE BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL 1 311+312 203. 220. 231. 228. 228. 237. 233. 227. 209. 229. 229. 221. 2 313 202. 245. 257. 220. 206. 222. 141. 204. 230. 217. 169. 203. 3 314 119. 122. 124. 138. 161. 167. 238. 281. 122. 151. 269. 250. 4 321 203. 221. 237. 266. 272. 2e4. 260. 246. 220. 267. 252. 251. 5 322 202. 232. 241. 228. 240. 0. 228. 0. 216. 231. 228. 222. 6 323 255. 293. 286. 257. 258. 286. 236. 0. 267. 260. 236. 257. 7 324 196. 251. 248. 270. 280. 250. 238. 215. 211. 269. 216. 226. 8 331 189. 213. 221. 207. 221. 236. 205. 231. 201. 214. 208. 206. 9 332 229. 263. 280. 251. 230. 200. 250. 0. 243. 244. 250. 244. 10 34t 236. 216. 224. 243. 234. 129. 226. 212. 225. 235. 215. 220. 11 342 259. 277. 281. 243. 246. 227. 216. 237. 270. 242. 220. 243. 12 351 195. 239. 270. 225. 173. 226. 208. 202. 230. 213. 205. 209. 13 352 195. 237. 258. 223. 219. 199. 193. 235. 226. 217. 211. 215. 14 355 226. 232. 240. 232. 225. 240. 240. 236. 232. 231. 239. 236. 15 356 212. 252. 265. 247. 231. 255. 259. 0. 243. 244. 259. 250. 16 361 186. 250. 233. 233. 298. 231. 239. 282. 206. 244. 273. 232. 17 362 251. 192. 230. 250. 209. 254. 211. 250. 234. 232. 222. 224. 18 363 167. 213. 242. 247. 246. 224. 258. 246. 195. 246. 249. 220. 19 364 172. 188. 197. 245. 250. 276. 276. 0. 179. 249. 276. 195. 20 369 182. 188. 285. 234. 245. 0. 258. 0. 208. 238. 258. 229. 21 381 212. 248. 263. 255. 237. 219. 229. 230. 227. 244. 229. 232. 22 382 259. 289. 294. 253. 222. 288. 211. 216. 276. 246. 213. 229. 23 383 253. 255. 298. 229. 207. 209. 219. 226. 264. 215. 222. 223, 24 384 231. 253. 272. 251. 253. 223. 220. 193. 246. 243. 206. 219. 25 385 281. 258. 302. 273. 286. 0. 129. 0. 276. 276. 129. 259, 26 390 217. 230. 221. 239. 287. 226. 271. 199. 221. 241. 228. 228. 27 TOTAL 201. 223. 236. 236. 233. 234. 235. 248. 212. 235. 243. 233. * u t Iumn- t- C -01- Mtf au-n uou'ufr-ur C uVf go d '4 * n five atnu ato -nW 00C C annr)um -j- * u h fle~~~~ r.C,. u'n to ffl 1-fl WWV r Cl fl Nl C I ( u u - - -~~VW op 0%N r- m a u u u -f I- t c e ID u p go--Llv ( 90 0r It I Iu I I w up u u1-a~~I,!?v m memo -unu 01-mfl avmnV u- pu a u u u esfyfi~~t m tao- 0eo eMeme MR-nmm fl V. u uu tm-t i"nnf tiuf in n - v MOCflfluf u u M-t u umt f S u nWuW Wt-w am u mu inu unO ln l u 'I: ug Lu M" W u u .40 ' &4 Iu u . . .. . ........ : * : 0*. u - . IZ 01 MA ., , *w *:l u, u ~~C. O~~C u ut~~ . 1- ... ..... .I tn. u flu I~~~ u H mu kuu - fftt 9 m" "" m H LS : ~~~~~~- n m r"0 vr r Lo:!I! -117- DATe 04/13/79 TIME 6:39PM Table 1A. INDONESIA : SURVEY OP SML*MEO+LGE eaTABLISHMeNTSI 1974 WiGE5 AND SALARIES PER PAID BMPLOYEE (TH.RUPTAHS) BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 tO- 14 1s- 19 20- 49 50- 74 78- 99 100-499 500 & UP 9- 19 20- 99 100 b UP ALL I 311+312 So. G1. 82. 75. 101. 99. 126. 172. 56. 84. 158. 1o0. 2 313 59. 67. 74. 11o. 123. 241. 386. 817. 66. 131. 564. 280. 3 314 25. 22. 21. 27. 28. 33. 60. 74. 22. 29. 70. 63. 4 321 43. 47. 54. 64. 73. 68. 101. l1s. 48. 66. 138. 100. s 322 60. 71. 81. 99. 92. 0. B6. 0. 66. 97. 86. 78. 6 323 68. 112. 80. 91. 84. 85. 148. 0. go. a8. 148. 99. 7 324 79. 123. 121. 126. 97. 72. 177. 376. 91. 119. 366. 229. a 331 72. 78. 83. 113. 141. 141. 199. 21e. 76. 122. 201. 119. 9 332 80. 97. 130. 122. 124. 386. 202. 0. 90. 141. 202. 109. 10 341 46. 40. 48. 76. 147. 1s. 236. 284. 45. 93. 273. 221. 11 342 106. a8. 98. 129. 139. 215. 16s. 88. 98. 143. 150. i32. 12 391 69. 77. 74. 120. 183. 202. 235. 632. 73. 162. 473. 344. 13 352 S5. 68. 151. 136. 167. 213. 273. 243. 87. 161. 260. 213. 14 358 58. 78. 76. 94. 112. 131. 139. 350. G8. 108. 177. 149. Is 356 63. 71. 86. 108. 130. 141. 106. 0. 73. 121. 106. 108. 16 361 39. a1. 79. 160. 55. 60. 38. 78. 49. 129. 6e. 77 17 362 60. 1s. 87. 92. 113. 52. 190. 859. 62. 98. 293. 247. 18 363 46. 6e. as. a5. 103. 146. 109. 538. 60. 91. 421. 146. 19 364 40. 41. 41. 63. 79. se. 8s. 0. 40. 67. 88. 47. 20 369 47. 44. 90. 80. 187. 0. 161. 0. 56. 120. 161. too. 21 381 66. so. 84. 110. 126. 224. 170. 244. 71. 134. 192. 135. 22 382 92. 104. 140. 123. 160. 612. 257. I11. 106. 179. 197. 180. 23 383 99. 73. 109. 222. 185. 232. 215. 315. 92. 214. 264. 250. 24 384 92. 104. 107. 194. 146. 196. 319. 392. 98. t66. 357. 280 25 385 90. 68. IIl. 122. 149. 0. 36. 0. 86. 129. 36. 103. 26 390 67. 67. 59. 81. 70. 94. 93. 147. 66. 82. 125. 89 27 TOTAL 55. 63. 75. 82. 97. 114. 140. 172. 60. 91. 158 t16. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -118- OATE 04/13/79 TIME 6 39PM Table 12A. IINDONESIA SURVEY OF SML+MED-LGE ESTABLISHMENTS. 1974 Table *12A. WAGES AND SALARIES(RUPIAHS) PER PERSON PER DAY BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 A UP ALL I 311.312 246. 278. 356. 331. 445. 412. 541. 756. 266. 365. 689. 457. 2 3t3 291. 275. 290. 502. 596. 1084. 2525, 4012. 285. 602. 3332 1382. 3 314 206. 178. 167. 199. 173. 200. 255 263. 184. 190. 261. 254. 4 321 213. 215. 228. 239. 267. 257. 386 672. 219. 249. 547. 400. 5 322 296. 305. 335. 434. 363. 0. 375. O. 306. 420. 375. 353. 6 323 266. 384. 280. 353. 327. 297. 629. 0. 298. 338. 629. 387. 7 324 402. 466. 486. 468. 347. 289. 742. 1750. 431. 441. 1693. 1013. a 331 381. 366. 376. 545. 636. 597. 971. 934. 376. 571. 966. 579. 9 332 351. 370. 463. 467. 539. 1942. 807. 0. 372. 577. 807. 432. 10 341 194. 186. 214. 314. 629. 120. 1044. 1342. 199. 398. 1267. 1005. 11 342 410. 317. 349. 530. 566. 948. 765. 370. 363. 590. 679. 544. t2 351 357. 321. 275. 534. 1055. 895. 1132. 3125. 319. 764. 2310. 1644. 13 352 281. 267. 586. 608. 762. 1071. 1413. 1035. 365. 744. 1230. 991. 14 355 242. 337. 317. 407. 499. 546. 579. 1483. 293. 468. 741. 631. 15 356 296. 282. 324. 438. 565. 553. 410. 0. 302. 496. 410. 420. I6 361 209. 246. 339. 685. BS5. 260. 146. 267. 236. 526. 244. 333. 17 362 241. 60. 380. 370. 539. 203. 904. 2237. 266. 423. 1325. 1100. 1S 363 278. 311. 354. 346. 417. 654. 423. 2178. 307. 371. 1693. 662. 19 364 231. 216. 209. 256. 318. 202. 320. 0. 225. 268. 320. 239. 20 369 259. 234. 316. 342. 762. 0. 622. 0. 270. 506. 622. 436. 21 381 311. 323. 318. 432. 530. 1024. 740. 1061. 315. 551. 838. 585. 22 382 356. 361. 477. 486. 722. 2127. 1215. 514. 383. 726. 923. 786. 23 383 391. 286. 367. 972. 890. 1109. 983. 1390. 348. 995. l185. 1122. 24 384 397. 411 395. 612. 575. 877. 1448. 2031. 400. 682. 1733. 1274. 25 385 322. 266. 366. 449. 521. 0. 280. 0. 313. 469. 280. 399. 26 390 310. 292. 269. 338. 242. 415. 343. 739. 298. 342. 545 393. 27 TOTAL 273. 284. 319. 348. 416. 468. 596. 692. 285. 387. 652. 499. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ _ - - - - - - - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -119- DATE 04/13/79 TIME 6~39PM Table 13A. INGONISIA SURVEY OF SML*MEO*LOI ESTABLISHMENTS, 1974 WAORES AND SALARIES AS % OF VALUE A£0010 BY SIZE CLASS SIZE CLASS;S BY NUMB3ER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 Is- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I 311+312 23. 25. 26. 19. 25. S. 13. la. 24. 14. 1l; 17. 2 313 31. 38. 34. 32. 49. 10. 12. 13. 34. 22. 13. 14. 3 314 22. 20. 21. 23. 25. 18. 12. 7. 21. 22. 6. 9. 4 321 41. 38. 41. 12. 37. -82. 30. 32. 40. 19. 31. 28. 5 322 36. 32. 38. 41. 64. 0. 68. 0. 36. 45. 68. 42. 6 323 36. 33. 1s. 26. 27. Is. 23. 0. 30. 25. 23. 25. 7 324 40. 30. 43. -10. 24. 23. 48. 48. 39. -12. 48. 103. 8 331 34. 31. 40. 39. 35. 43. 24. 35. 34. 39. 25. 31. 9 332 45. 48. 48. 48. 64. 61. 37. 0. 46. 92. 37. 45. to 341 30. 37. 38. 24. 37. 63. 43. 33. 35. 28. 35. 34. II 342 43. 38. 37. 51. 26. 29. 35. 20. 39. 35. 32. 35. 12 351 13. 1a. 10. 25. 20. 22. 16. 30. 14. 22. 25. 25. 13 352 23. I6. 67. -30. 26. 24. 33. 39. 30. g8. 35. 40. 14 355 22. 16. 1a. is. 13. Is. 18. 25. la. la. 20. 19. Is 356 26. 29. 40. 36. 50. 29. 30. 0. 32. 37. 30. 33. t6 361 46. 42. 31. 31. 73. 54. 69. -262. 41. 33. -680. 44. 17 362 24. 20. 38. 22. 53. St. 37. 28. 29. 32. 30. 30. 1a 363 35. 34. 36. -19. 31. 26. 32. 21. 35. -33. 21. 33. 19 364 47. 93. 53. 41. 22. 58. 49. 0. 49. 33. 49. 4A. 20 369 44. s0. 27. 44. 20. 0. 69. 0. 36. 26. 69. 39. 21 381 40. 44. 34. 36. 30. 39. s0. 21. 40. 35. 33. 35. 22 382 41. 36. 57. 28. 31. 9. -84. 5. 42. 17. 26. 24. 23 363 31. Is. 7. 34. 33. 51. 13. 28. 14. 36. 18. 20. 24 384 36. 40. 26. 36. Is. 21. 16. 24. 35. 25. 20. 21. 25 385 45. 54. 40. 29. 89. 0. 33. 0. 45. 36. 33. 38. 26 390 49. 37. 43. 33. 38. 42. 21. 46. 44. 35. 34. 37. 27 TOTAL 29. 31. 33. 25. 26. la. 21. la. 31. 23. 19. 21. -120- DATE 04/13/79 TIME 6:39PM Table 14A. INDONESIA . SURVEY OF SML*MED+LGE ESTABLISHMENTS. 1974 NUMBER OF ESTABLISHMENTS AND THEIR PERCENT OISTRIBUTION BY SIZE CLASS SIZE CLASS * BY NUM8ER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL 1 311312 80.86 8.30 3.54 5.19 0.71 0.36 0.74 0.31 92.70 6.26 1 04 2212i. 2 313 57.92 18.66 9 76 9.76 1 52 0.65 1.30 0 43 86.33 11.93 1.74. 461. 3 314 18.64 9.10 5.25 32.55 10.59 4.72 14.70 4.46 32.98 47.86 19.16 1143. 4 321 37.27 18.34 12.67 21.22 3.92 1.95 3.67 0.97 68.28 27.09 4.64 6424. 5 322 70.50 12.24 6.34 8.70 1.47 0.00 0.74 0.00 89.09 10.18 0.74 678. 6 323 68.75 11.36 4.55 9.09 2.84 0.57 2.84 0.00 84.66 1.2.50 2.84 176. 7 324 78.13 7.81 5.73 6.25 0.52 0.52 0.26 0.78 91.67 7.29 1.04 384. 8 331 67.38 14.61 7.11 8.09 1.08 0.51 1.14 0.09 89.10 9.68 1.22 3348. 9 332 79.13 11.90 4 84 3.33 0.36 0.09 0.36 0.00 95.87 3.77 0.36 2252. 10 341 24.37 14.29 10.92 30.25 6.72 0.84 6.72 5.88 49.58 37.82 t2.61 119. II 342 47.51 18.43 10.46 15.94 3.49 1.10 2.89 0.20 76.39 20.52 3.09 1004. 12 351 35.20 17.32 7.82 19.55 5.59 5.03 7.82 1.68 60.34 30.17 9.50 179. 13 352 42.24 14.66 9.43 17.27 5.66 2.61 6.97 1.16 66.33 25.54 8.13 689. 14 355 29.60 9.98 7.17 23.99 9.53 4.15 14.69 0.90 46.75 37.67 15.58 892. Is 356 36.47 18.82 11.76 19.76 4 94 2.35 5.88 0.00 67.06 27.06 5.88 425. 16 361 76.61 10.09 3.67 7.34 0.92 0.46 0.46 0.46 90.37 8.72 0.92 218. 17 362 19.18 4.11 5.48 28.77 13.70 1.37 24.66 2.74 28.77 43.84 27.40 73. 18 363 63.23 17.64 8.15 9.30 0.86 0.19 0.43 0.19 89.03 10.35 0.62 2097. 19 364 78.85 11.66 5.04 3.60 0.57 0.13 0.15 0.00 95.55 4.30 0.15 3886. 20 369 55.65 22.61 10.43 7.83 2.61 0.00 0.87 0.00 88.70 10.43 0.87 115. 21 381 74.52 9.51 5.33 6.08 1.45 0.62 2.23 0.25 89.37 8.15 2.48 2418. 22 382 46.46 16.81 6.19 17.70 4.87 0.88 6.19 0.88 69.47 23.45 7.08 226. 23 383 29.92 12.60 4.72 16.84 7.87 6.30 18.11 3.94 47.24 30.71 22.05 127 24 384 55.23 13.61 7.50 13.02 1.78 2.37 5.13 1.38 76.33 17.16 6.S1 507. 25 385 39.62 22.64 9.43 22.64 3.77 0.00 1.89 0.00 71.70 26.42 1.89 53. 26 390 68.97 15.86 6.48 6.21 0.41 0.69 0.97 0.41 . 9i.31 7.31 1.38 725. 27 TOTAL 67.69 11.73 6.04 9.33 1.81 0.84 2.08 0.49 85.45 11.99 2.56 50767. -121- DATE 04/13/79 TIME 6 39PM Table 15A. INDONESIA SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 NUMBER OF PERSONS ENGAGED AND THEIR PERCENT DISTRIBUTION BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSDNS ENGAGED PER ESTASLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP S- 19 20- 99 100 & UP ALL I 31i+312 37.30 7.48 4.66 11.34 3.25 2.40 10.26 23.32 49.44 16.99 33.57 281657. 2 313 20.00 12.20 9.31 14.31 4.76 2.93 20.06 16.43 41.51 22.00 36.49 8230. 3 314 0.97 0.83 0.68 7.28 4.47 2.77 22.13 60.86 2.48 14.52 83.00 144695. 4 321 7.66 6.43 6.49 18.11 6.72 4.90 21.08 28.61 20.58 29.73 49 69 212253. 5 322 38.83 12.70 9.64 21.76 7.54 0.00 9.52 0.00 61.18 29.30 9.52 7509. 6 323 29.02 8.86 4.86 19.34 12.64 3.20 22.08 0.00 42.74 35.18 22.08 2595. 7 324 24.67 4.48 4.72 17.35 1.46 2.26 2.30 42.76 33.87 21.07 45.06 7694. 8 331 32.10 12.23 8.86 16.36 4.59 3.29 19.67 2 90 53.19 24.25 22.56 45314. 9 332 56.37 15.69 9.33 10.16 2.48 0.88 5.08 0.00 81.40 13.53 5.08 19479. 10 341 2.44 2.59 2.75 13.76 5.62 0.91 17.35 54 57 7.79 20.29 71.92 8103. 1I 342 14.34 9.85 7.92 20.66 9.56 4.33 26.61 6.71 32.12 34.56 33.32 21928. 12 351 4.87 4.18 2.69 11.98 6 74 8.98 24.38 36.18 11.74 27.71 60.55 8586. 13 352 6.48 4.11 3.80 12.51 7.99 5.23 33.91 25.96 14.39 25.74 59.87 28520. 14 355 3.36 2.12 2.17 13.51 10.14 6.21 51 09 11.40 7.65 29 87 62.49 50272. 15 356 8.46 7.62 7.02 19.59 10.55 7.34 39.42 0.00 23.10 37.48 39.42 12188. 16 361 40.79 10.28 5.26 18.35 4.70 3.21 3.97 13.45 56.32 26.25 17 42 2491. 17 362 1.51 0.57 t.04 10.70 9.11 1.40 54.49 21.17 3.12 21.22 75.66 6278. 18 363 30.61 15.43 10.37 19.23 3.88 1.17 5.15 14.16 56.41 24.28 19.31 27612. 19 364 56.80 15.30 9.75 10.55 3.81 1.26 2.53 0.00 8t.85 15.62 2 53 33524. 20 369 23.97 16.51 11 08 15.58 9.43 0.00 23.42 0.00 51.56 25.01 23.42 1823. 21 381 29.22 6.98 5.73 11.20 5.47 3.44 26.45 11.51 41 93 20.11 37.96 37413 22 382 7.85 4.99 2.72 13.63 7.31 1.99 36.25 25.25 15.56 22.94 61 50 8824. 23 383 1.79 1.48 0.82 5.36 4.73 5.52 41.21 39.10 4.09 i5 60 80.31 12843. 24 384 10.02 4.47 3.53 10.32 2.97 5.88 30.14 32.67 18.03 ¶9.17 62.81 18105. 25 385 14 47 14.36 9.03 37.87 13.06 0.00 11.21 0.00 37.87 50.92 11.21 919. 26 390 30.53 12.75 7.6t 12.61 1.94 4.14 12.58 17.83 50.90 ¶8.69 30.42 10323. 27 TOTAL 20.55 6.70 5.04 13.16 5.19 3.48 19.70 26.19 32.28 21.83 45.88 1021326. -- - - - - - -- - - - - - - -- - - - - - - I________ __ __ __ ____ ----------------------------------------------------------------------------------------- -122- DATE 04/13/79 TIME 8:39PM Table 16A. INDONESIA : SURVEY OF SML+MED+LOE ESTABLISHMENTS. 1974 GROSS OUTPUT (HtL.RUPIAHS) ANO THEIR PERCENT DISTRIBUTION BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 8 UP ALL 1 311+312 12.69 4.57 3.96 l1.10 4.66 6 76 23.71 32.55 21.22 22.52 56.26 374298. 2 313 2.65 1.54 1.85 3.60 0.84 4.08 36.90 48.55 6.04 8.51 85.45 22240. 3 314 0.15 0.17 0.17 1.62 1.22 0.77 15.25 80.65 0.49 3.61 95.90 236476. 4 321 1.82 2.13 2.49 14.19 10.54 3.03 21.89 44.11 6.43 27.77 85.80 237334. 5 322 33.87 16.12 9.87 25.84 7.52 0.00 6.78 0.00 59.86 33.36 6.78 3609. 6 323 8.79 6.95 3.66 27.61 11.23 2.11 39.65 0.00 19.41 40.95 39.65 3816. 7 324 8.22 2.68 2.46 lt.47 1.51 1.67 2.34 69.66 13.35 14.65 72.00 8699. 8 331 IS.87 7.77 8.44 13.37 5.86 3.84 43.77 4.48 28.88 22.86 48.25 37630. 9 332 38.66 15.05 13.10 12.44 3.46 3.11 t4.17 0.00 66.82 19.01 14.17 7591. 10 341 0.34 0.27 0.38 4.12 2.48 0.02 14.64 77.74 0.99 6.62 92.38 18217. 1t 342 7.49 6.37 7.62 19.61 11.71 8.25 32.82 6.12 21.48 39.57 38.95 15605. 12 351 1.41 1.54 1.17 4.94 3.09 9.54 26.37 51.93 4.13 17.57 78.30 23081. 13 352 1.94 2.07 1.67 9.51 6.63 6.56 38.39 33.24 5.67 22.70 71.63 51350. 14 355 0.64 0.83 0.84 7.03 9.00 4.58 56.65 20.43 2.31 20.61 77.08 147415. 1s 356 4.58 S.50 5.15 23.81 10.21 10.68 40.08 0.00 15.23 44.70 40.08 13476. 16 361 13.43 9.71 5.47 56.51 1.56 2.59 0.73 10.00 28.60 60.66 10.73 794. 17 362 0.46 0.05 0.24 5.55 2.10 0.18 33.76 57.67 0.75 7.82 91.43 9993. 18 363 7.93 6.61 5.97 10.32 2.23 2.58 3.33 81.05 20.S0 15.12 64.38 30030. 19 364 40.70 12.08 8.63 18.76 12.98 1.67 5.17 0.00 61.41 33.41 5.17 4552. 20 369 10.48 5.96 17.25 14.81 29.23 0.00 22.28 0.00 33.69 44.03 22.28 715. 21 38t 7.09 2.46 2.71 8.24 7.22 8.14 38.46 25.69 12.26 23.60 64.14 45916. 22 382 1.58 1.39 0.58 6.98 7.52 8.14 26.39 47.42 3.55 22.65 73.80 15898. 23 383 0.45 0.45 0.72 3.28 2.13 2.85 51.89 38.23 1.62 8.26 90.12 39821. 24 384 0.92 0.46 0.51 3.06 2.63 2.31 28.93 61.18 1.89 8.00 90.11 80478. 25 385 8.65 6.88 8.71 57.19 15.39 0.00 3.t8 0.00 24.24 72.58 3.18 582. 26 390 14.82 8.64 4.91 15.99 2.20 7.26 24.89 21.30 28.37 25.44 46.19 4752. 27 TOTAL 5.34 2.58 2.36 8.75 5.46 4.46 29.45 42.60 10.28 18.67 71.05 1453225. -123- DATE 04/13/79 TIME 6:39PM Table 17A. INDONESIA SURVEY OF SML.MED+LGE ESTABLISHMENTS. 1974 VALUE AODED (ML RUPIAHS) AND THEIR PERCENT DISTRIBUTION BY SIZE CLASS SIZE CLASS . BY NUMBER OF PERSONS ENGAGED PER ESTASLISHMENT CODES 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 5W0 & UP 5- 19 20- 99 1OO & UP A- I 311+312 11.22 3.05 2.64 8.72 2.58 7.88 20.17 43.73 16.92 19.18 63.90 i41622. 2 313 I 47 1.01 1.01 2.60 0.65 3.92 31.85 57.50 3.49 7.16 89.35 15105. 3 314 0 11 0.11 0.08 I 13 0.66 0.67 15.15 82.10 0.30 2.46 97.24 106389. 4 321 1.79 2.00 2.27 27.27 3.77 -1.17 20.62 43.43 6.07 29.88 64.05 72591. 5 322 29.21 14.37 11.59 30.80 6.64 0.00 7.39 0.00 55.17 37.44 7 39 1209. 6 323 11.68 7.24 6.69 18.47 10.97 5.02 39.93 0.00 25.62 34.46 39.93 926. 7 324 18.67 7.43 5.74 -102.47 2.51 3.43 4.02 t60.67 31.84 -96.53 164.69 1610. 8 331 14.73 7.65 4.80 13.06 5.23 3.08 46.31 5.14 27.18 21.37 51.45 IS886. 9 332 39.62 15.32 11.79 13.07 2.48 2.98 14.73 0.00 66.74 18.53 14.73 3694. 10 341 0.46 0.40 0.51 6.69 3.43 0.03 14.99 73.50 1.37 10.14 88.49 5165. 11 342 7.99 6.02 5.38 14.05 13.94 10.04 34.51 8.07 i9.39 38.03 42.58 7993. 12 351 1.49 1.19 1.35 4.05 4.39 5.98 25.56 55.98 4.04 14.42 81.55 11836. 13 352 2.25 2.98 1.54 -10.78 9.81 9.02 54.10 31.09 6.76 8.05 85.19 14852. 14 355 0.87 1.23 1.12 8.75 11.54 6.71 49.25 20.54 3.22 26.99 69.79 39412. 15 356 5.22 5.34 4.58 18.71 8.95 11.70 45.50 0.00 15.14 39.36 45.50 3710. 16 361 15.29 9.20 8.34 63.54 2.33 2.44 1.30 -2.45 32.83 68.32 -1.15 364. 17 362 0.37 0.04 0.26 5.31 2.36 0.18 34.51 56.96 0.68 7.85 91.47 5040. 18 363 8.00 6.52 5.59 -20.74 3.15 1.60 4.35 91.55 20.10 -16.00 95.90 11116. 19 364 40.85 11.52 7.67 17.8t 15.53 1.37 5.26 0.00 80.04 34.70 5 26 2906. 20 369 8.82 5.26 14.55 11.59 36.80 0.00 22.98 0.00 28.63 48.39 22.98 434. 21 381 10.11 3.07 3.57 9.33 6.34 5.53 25.36 36.70 16.74 21.20 62.06 13310. 22 382 1.91 1.77 0.85 8.08 5.17 19.10 -15.07 78.19 4.53 32.35 63.12 6472. 23 383 0.36 0.49 0.93 2.78 2.13 2.00 55.76 35.56 1.77 6.90 91.32 16099. 24 384 1.50 0.81 0.98 3.28 . 2.15 4.17 46.19 40.91 3.29 9.61 87.10 23537. 25 385 9.31 6.57 9.07 61.47 8.72 0.00 4.86 0.00 24.95 70.18 4.86 230. 26 390 14.79 9.02 4.10 13.93 1.63 4.19 25.69 26.64 27.91 19.75 52.33 2215. 27 TOTAL 5.35 2.29 2.00 7.94 3.73 4.35 25.90 48.43 9.64 16.02 74.34 527742. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ _ - - - - - - - - - - - - _ _ - - - - - - _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -124- DATE 04/13/79 TIME 6 38PM Table 18A. INDONESIA SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 NUMBER OF ESTABLISHMENTS AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 15- 19 2b- 49 50- 74 75- 99 100-499 500 A UP 5- 19 20- 99 100 & UP ALL I 311+312 52.05 30.84 25.58 24.23 16.94 18.74 15.46 27.53 47.27 22.74 17.76 43 57 2 313 0.78 1.44 1.47 0.95 0.76 0.70 0.57 0.81 0.92 0.90 0.61 0.91 3 314 0.62 1.75 1.96 7.85 13.14 12.65 15.94 20.65 0.87 8.99 16.83 2.25 4 321 6.97 19.79 26.56 28.77 27.36 29.27 22.39 25.10 10.11 28.59 22.91 12.65 5 322 t 39 1.39 1.40 1 25 1.09 0.00 0.47 0.00 1.39 1.13 0.38 1.34 6 323 0 35 0.34 0.26 0.34 0.54 0.23 0.47 0.00 0 34 0.36 0 38 0.35 7 324 0.87 0.50 0.72 .0.51 0.22 0.47 0.09 1.21 0.81 0.46 0.31 0.76 8 331 6 57 8.21 7.77 5.72 3.91 3.98 3.61 1 21 6.88 5.32 3.15 6.59 9 332 5.19 4 50 3.56 1.58 0.87 0.47 0.76 0.00 4.98 1 40 0.61 4.44 10 341 0.08 0.29 0.42 0.76 0.87 0.23 0.76 2.83 0.14 0.74 1 15 0.23 i1 342 1.39 3.11 3.43 3.38 3.80 2.58 2.75 0.81 1.77 3.39 2.38 1 98 12 351 0 18 0 52 0.46 0.74 1.09 2.11 1.33 1.21 0.25 0.89 1 31 0 35 13 352 0.85 1.70 2.12 2.51 4.23 4.22 4.55 3 24 1.05 2.89 4.30 1 36 14 355 0.77 1.50 2.09 4.52 9.23 8.67 12.43 3.24 0.96 5.52 10.68 1.76 is 356 0.45 1.34 1.63 1.77 2.28 2.34 2.37 0.00 0.66 1.89 1.92 0 84 16 361 0.49 0.37 0.26 0.34 0.22 0.23 0.09 0.40 0.45 0 31 0.15 0.43 17 362 0.04 0.05 0.13 0.44 1.09 0.23 1.71 0.81 0.05 0.53 1.54 0.14 18 363 3.86 6.22 5.58 4.12 1.95 0.94 0.85 1.62 4.30 3.57 1.00 4.13 19 364 8.92 7.61 6.39 2.96 2.39 1.17 0.57 0.00 8.56 2.74 0.46 7.65 20 369 0.19 0.44 0.39 0.19 0.33 0.00 0.09 0.00 0.24 0.20 0.08 0.23 21 381 5.24 3.86 4.21 3.10 3.80 3.51 5.12 2.43 4.98 3.24 4.61 4.76 22 382 0.31 0.64 0.46 0.84 1.19 0.47 1.33 0.81 0.36 0.87 1.23 0 4S 23 383 0.11 0.27 0.20 0.44 1.09 1.87 2.18 2.02 0.14 0.64 2.15 0.25 24 384 0.81 1.16 1.24 1.39 0.98 2.81 2.47 2.83 0.89 1 43 2.54 1.00 25 38S 0.06 0.20 0.16 0.25 0 22 0.00 0.09 0.00 0.09 0.23 0.08 0 10 26 390 1.46 1.93 1.53 0.95 0.33 1.17 0.66 1.21 1.53 0.87 0 77 1.43 27 TOTAL 34363. 5953. 3065. 4737. 921. 427. 1054. 247. 43381. 6085. 1301. 50767. -125- DATE 04/13/79 TIME 6 38PM Table 19A. INDONESIA * SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 NUMBER OF PERSONS ENGAGED AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTASLISHMENT CODES 5- 9 1O- 14 t5- 19 20- 49 50- 74 75- 99 100-499 SOO UP 5- 19 20- 99 100 & UP ALL 1 311+312 50.07 30.77 25.51 23.77 17.25 19.00 14.36 24.56 42.23 21.46 20.18 27.58 2 313 0.78 1.47 1.49 0.88 0.74 0.68 0.82 0.51 1.04 0.81 0.64 0.81 3 314 0.67 1.75 1.93 7.84 12.18 11.29 15.92 32.93 1.09 9.42 25.63 14.17 4 321 7.75 19.94 26.75 28.61 26.88 29.27 22.24 22.71 13.25 28.30 22.51 20.78 5 322 1.39 1.39 1.41 1.22 1.07 0.00 0.36 0.00 1.39 0.99 0.15 0.74 6 323 0.36 0.34 0.24 0.37 0.62 0.23 0.28 0.00 0.34 0.41 0.12 0.25 7 324 0.90 0.50 0.71 0.99 0.21 0.49 0.09 1.23 0.79 0.73 0.74 0.75 8 331 6.93 8.10 7.80 5.52 3.92 4.19 4.43 0.49 7.31 4.93 2.18 4.44 9 332 5.23 4.47 3.53 1.47 0.91 0.48 0.49 0.00 4.81 1.18 0.21 1.91 10 341 0.09 0.31 0.43 0.83 0.86 0.21 0.70 1.65 0.19 0.74 1.24 0.79 II 342 1.50 3.16 3.38 3.37 3.95 2.67 2.90 0.55 2.14 3.40 1.56 2.15 12 351 0.20 0.52 0.45 0.77 1.09 2.17 1.04 1.16 0.31 1.07 1.11 0.84 13 352 0.88 1.71 2.10 2.66 4.30 4.20 4.81 2.77 1.24 3.29 3.64 2.79 14 355 0.80 1.56 2.12 5.06 9.61 8.78 12.77 2.14 1.17 6.73 6.70 4.92 1S 356 0.49 1.36 1.66 1.78 2.42 2.51 2.39 0.00 0.85 2.05 1.03 1.19 Is 361 0.48 0.37 0.25 0.34 0.22 0.22 0.05 0.13 0.43 0.29 0.09 0.24 17 362 0.05 0.05 0.13 0.50 1.08 0.25 1.70 0.50 0.06 0.60 1.01 0.61 to 363 4.03 6.23 5.56 3.95 2.02 0.91 0.71 1.46 4.72 3.01 1.14 2.70 19 364 9.07 7.49 6.35 2.63 2.41 1.18 0.42 0.00 8.32 2.35 0.18 3.28 20 369 0.21 0.44 0.39 0.21 0.32 0.00 0.21 0.00 0.29 0.20 0.09 0.18 21 381 5.21 3.82 4.16 3.12 3.86 3.62 4.92 1.61 4.76 3.37 3.03 3.66 22 382 0.33 0.64 0.47 0.90 1.22 0.49 1.59 0.83 0.42 0.91 1.16 0.86 23 383 0.11 0.28 0.20 0.51 1.14 1.99 2.63 1.88 0.16 0.90 2.20 1.26 24 384 0.86 1.18 1.24 1.39 1.01 2.99 2.71 2.21 0.99 1.56 2:43 1.77 25 385 0.06 0.19 0.16 0.26 0.23 0.00 O.O0 0.00 0.11 0.21 0.02 0.09 26 390 1.50 1.92 1.53 0.97 0.38 1 20 0.65 0.69 * 1.59 0.87 0.67 1.01 27---TOTAL_--2098---7----8-4--0---51456--.___3436__.__53052.___35557.___2011__4.__267435.___329733.___222974.___4___6_19____0213__6. 27 TOTAL 209837. 684A0. Si456. 134365. 53052. 35557. 201184. 287435. 329733. 222974. 468619. 1021326. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_______________________________________________- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -............................ ____________ -126- DATE 04/13/79 TIME 6:38PM Table 20A. INDONESIA SURVEY OF SML+MED+LGE ESTA8LISHMENTS. 1974 GROSS OUTPUT (MIL.RUPIAHS) AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS: BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES S- 9 1O- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 I, S A I 3114312 61.18 45.62 43.20 32.67 22.00 39.10 21.46 19.68 53.15 31.08 20 0 .57- 2 313 0.76 0.91 1.20 0.63 0.23 1.40 1.98 1.74 0.90 0.70 1.84 1.53 3 314 0.46 t.04 i.18 3.02 3.63 2.83 8.72 30.81 0.77 3.15 21.96 18.27 4 321 5.56 13.46 17.20 26.50 31.53 11.12 12.45 16.91 10.21 24.30 15.12 16.33 5 322 1.57 1.55 1.04 0.73 0.34 0.00 0.06 0.00 i.45 0.44 0.02 0.25 6 323 0.43 0.71 0.41 0.83 0.54 0.12 0.37 0.00 0.50 0.58 0.15 0.26 7 324 0.92 0.62 0.62 0.78 0.17 0.22 0.05 0.98 0.78 0.47 0.61 0.60 8 331 7.59 7.80 5.97 3.96 2.68 2.23 3.98 0.27 7.27 3.17 1.76 2.59 9 332 3.78 3.05 2.90 0.74 0.33 0.37 0.26 0.00 3.39 0.53 O.t0 0.52 10 341 0.08 0.13 0.20 0.59 0.57 0.01 0.65 2.29 0.12 0.44 1.63 1.25 11 342 1.S0 2.65 3.47 2.41 2.30 1.99 1.24 0.15 2.24 2.28 0.59 t.07 12 351 0.42 0.95 0.79 0.90 0.90 3.40 1.47 1.94 0.64 1.50 1.75 1.59 13 352 t.28 2.83 2.49 3.84 4.29 5.20 4.77 2.78 1.95 4.30 3.56 3.53 14 355 1.22 3.27 3.61 8.t5 16.71 10.43 20.19 4.87 2.28 11.20 11.00 10.14 15 356 0.79 1.98 2.02 2.52 1.73 2.22 1.31 0.00 1.37 2.22 0.52 0.93 16 361 0.14 0.21 O.13 0.35 0.02 0.03 0.00 0.01 0.15 0.18 0.01 0.05 17 362 0.06 0.01 0.07 0.44 0.26 0.02 0.82 0.93 0.05 0.29 0.88 0.69 Is 363 3.07 5.30 5.22 2.44 0.84 t.20 0.24 2.96 4.12 1.67 1.87 2.07 19 364 2.39 1.47 1.14 0.67 0.74 0.12 0.06 0.00 1.87 0.56 0.02 0.31 20 369 0.10 0.11 0.36 0.08 0.26 0.00 0.04 0.00 0.16 0.12 0.02 0.05 21 381 4.19 3.01 3.63 2.98 4.18 5.77 4.27 1.91 3.77 3.99 2.85 3.16 22 382 0.32 0.59 0.27 0.87 1.51 2.00 1.01 1.22 0.38 1.33 t.14 1.09 23 383 0.23 0.48 0.84 1.03 107 1.75 5.00 2.46 0.43 1.21 3.48 2.74 24 384 0.95 0.99 1.20 1.94 2.66 2.87 5.63 7.95 1.02 2.37 7.02 5.54 25 385 0.06 0.t1 O.15 0.26 0.11 0.00 0.00 0.00 0.09 0.16 0.00 0.04 26 390 0.91 1.10 0.68 0.60 0.13 0.53 0.29 0.16 0.90 0.45 0.21 0.33 27--TOTA----77650.---37484.----34-05.---127141.---79363.---64750---_4--350---__619026.-----4-43-----2712--5.--10--2531.---145322_--. 27 TOTAL 77650. 37484. 34305. 127t41. 79363. 64750. 413!506. 619026. 149439. 271295. 1032531. 1453225. -- - - - - - -- - -- - - - - - - - - -_ -- - - -- - -- -- - - - - - - - - -_ - -- - - -- -- - -- - -- -_ _ - -- - -- -- - -- - - - - -_ _ - - -- - -- - - - - - --_ - -- - - -- - - - - - - - --- - - -- --_ -- - - - - - - - - - -- - -127- DATE 04/13/79 TIME 6 38PM Table 21A. INDONESIA . SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 VALUE ADDED (ML.RUPIAHS) AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT CODES 5- 9 10- 14 1s- 19 20- 49 50- 74 75- 99 1OO-499 500 a UP 5- 19 20- 99 100 & UP ALL 1 311+312 56.30 35.77 35.47 29.49 18.58 48.54 20.90 24.23 47.10 32.13 23.07 26.84 2 313 0.79 1.26 1.45 0.94 0.50 2.57 3.52 3.40 1.04 1.28 3.44 2.86 3 314 0.40 0.93 0.85 2.87 3.56 3.11 11.79 34.17 0.62 3.10 26.37 20.16 4 321 4.61 12.05 15.63 47.26 13.91 -3.70 10.95 12.33 8.66 25.65 11.65 13.76 5 322 1.25 1.44 1.33 0.89 0.41 0.00 0.07 0.00 1.31 0.54 0.02 0.23 6 323 0.38 0.85 0.59 0.41 0.52 0.20 0.27 0.00 0.47 0.38 0.09 0.18 7 324 1.06 0.99 0.87 -3.94 0.21 0.24 0.05 1.01 1.01 -1.84 0.68 0.31 a 331 8.29 10.06 7.22 4.95 4.22 2.13 5.38 0.32 8.49 4.02 2.08 3.01 9 332 5,18 4.69 4.13 1.15 0.47 0.48 0.40 0.00 4.85 0.81 0.14 0.70 10 341 0.08 0.17 0.25 0.82 0.90 0.01 0.57 1.49 0.14 0.62 1.17 0.98 11 342 2.26 3.99 4.07 2.68 5.66 3.49 2.02 0.25 3.05 3.59 0.87 1.51 12 351 0.62 1.17 1.52 1.14 2.64 3.08 2.21 2.59 0.94 2.02 2.46 2.24 13 352 1.18 3.66 2.16 -3.82 7.40 5.83 5.88 1.81 1.97 1.41 3.23 2.81 14 355 1.22 4.00 4.18 8.23 23.10 11.50 14.20 3.17 2.49 12.58 7.01 7.47 15 356 0.69 1.64 1.61 1.66 1.89 1.89 1.23 0.00 1.10 1.73 0.43 0.70 16 361 0.20 0.28 0.29 0.55 0.04 0.04 0.00 -0.00 0.24 0.29 -0.00 0.07 17 362 0.07 0.02 0.12 0.64 0.60 0.04 1.27 1.12 0.07 0.47 1.18 0.96 18 363 3.15 6.00 5.88 -5.50 1.78 0.77 0.35 3.98 4.39 -2.10 2.72 2.11 19 364 4.20 2.77 2.11 1.24 2.29 0.17 0.11 0.00 3.43 1.19 0.04 0.55 20 369 0.14 0.19 0.60 0.12 0.81 0.00 0.07 0.00 0.24 0.25 0.03 0.08 21 381 4.77 3.38 4.49 2.96 4.28 3.20 2.47 1.91 4.38 3.34 2.11 2.52 22 382 0.44 0.95 0.52 1.25 1.70 5.38 -0.71 1.98 0.58 2.48 1.04 1.23 23 383 0.20 0.65 1.41 1.07 .1.74 1.40 6.57 2.24 0.56 1.31 3.75 3.05 24 384 1.25 1.57 2.18 1.84 2.57 4.27 7.95 3.77 1.52 2.67 5.23 4.46 25 385 0.08 0.12 0.20 0.34 0.10 0.00 0.01 0.00 0.11 0.19 0.00 0.04 26 390 1.16 1.65 0.86 0.74 0.18 0.40 0.42 0.23 1.i2 0.52 0.30 0.42 27 TOTAL 28235. 12080. 10560. 41892. 19686. 22983. 136711. 255595. 50875. 84561. 392306. 527742. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -12 8- DATE 04/13/79 TIME 6 39Pm Table 1B. INDONESIA: SURVEY OF SML+MEO+LOE ESTABLISHMENTS. 1974 NuMBER OF ESTABLISHMENTS BY SIZE CLASS SIZE CLASS: BY MJUSEA OF PERSONS ENGAGEO PER ESTABLISH4MENT PAOVNC S- '9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL 1 it 971. 64. 27. 24. 3. 3. 4. I. 662. 30. 5. 697. 2 12 lsUl. 300. 126. 179. 41. 20. 53. 6. 1937. 240. 59. 2236. 3 13 974. 96. 35. 36. 5. 2. S. 1. 1105. 43. 9. 1157. 4 14 506. 76. 45. 28. S. 4. II. 0. 627. 40. 11. 678. 5 is 333. 29. 14. 20. S. 1. 5. 3. 386. 26. S. 420. 6 16 60. 102. 51. 40. 10. 3. 26. 4. 1833. 53. 30. 1916. 7 17 92. 12. 6. 4. O. 0. 0. 0. 110. 4. 0. 114. I 1 3S. Sl. 41. 39. 14. 5. 12. 1. 447. 55. 13. 518. 9 31 1226. 417. 330. 496. Ill. 60. 189. 29. 1973. 667. 219. 2958. to 32 7662. 1009. 571. 1120. 201. 91. 226. 31. 9462. 1412. 257. 11131. It 33 6170. 1536. 835. 1166. 209. 8a. t66. al. 8541. t475. 227. 10243. 13 34 762. 231. 94. 113. 1s. 9. 19. S. 1107. 137. 24. 1268. 13 39 7131. 1301. 565. 1089. 237. 124. 263. 94. 9005. t450. 357. 10812. 14 Si 472. 109. 66. 43. S. 4. 12. 2. 649. 55. 14. 718. Is 52 362. 73. 16. 50. 10. 3. 6. 1. 451. 63. 7. 521. 16 53 167. S0. 20. 9. 2. 1. 2. 0. 237. 12. 2. 251. 17 el 430. 26. Is. 25. 9. 3. 21. 2. 473. 37. 23. 533. to 62 t". 26. 6. 18. 2. 1. 4. 0. 173. 21. 4. 198. 49 63 396. 36. 26. go. 8. 0. 7. 3. 458. 63. 10. 531. 20 64 97. 29. 16. 16. 6. 1. 1. 0. 142. 23. 1. 166. 24 71 250. se. 24. 12. 0. 3. 3. 0. 432. 15. 3. 450. 22 72 244. 19. 7. 7. 1. 1. 0. 0. 270. 9. 0. 279. 23 73 2067. 191. s6. 89. ii. 4. 10. 3. 2334. 104. 13. 2451. 24 74 381. St. 19. 25. S. 0. 1. 0. 351. 30. 1. 382. 25 al 65. 25. 9. 4. 1. 2. 3. 0. 99. 7. 3. t09. 26 82 66. 20. ti. 1o. 0. 1. 2. 0. 117. I1. 2. 130. 27 TOTAL 34363. 5953. 3065. 4737. 921. 427. 1054. 247. 43381. 6085. 1301. 50767. …__ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ - - _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ - - - - _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ - - _ _ _ _ _ _ _ _ - - _- - - - _ _ _ -129- DATE 04/13/79 TIME 6 39PM Table 2B. INDONESIA SURVEY OF SML-MED-LGE ESTABLISHMENTS. 1974 NUMBER OF PERSONS ENGAGED BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 A UP 5- t9 20- 99 100 & UP ALL I il 3462. 721. 453. 747. 159. 254. 789. 1252. 4636. 1160. 2041 7837. 2 12 9510. 3431. 2127. 5084. 2620. 1771. 11705. 4975. 15068. 9475. 16680. 41223. 3 13 5519. 1101. 608. 1081. 301. 166. 1404. 1456. 7228. 1548. 2860. 11636. 4 14 3102. 876. 756. 870. 484. 360. 1704. 0. 4734. 1684, 1704. 8122. 5 15 1980. 448. 231. 534. 302. 89. 1334. 1651. 2659. 925. 2985. 6569. 6 16 9847. 1145. 847. IOBI. 587. 266. 5538. 4041. 11839. 1934. 9579. 23352. 7 17 582. 136. 97. 101. 0. 0. O. 0. 815. 101. 0. 916. B 18 2204. 589. 695. 1155. 806. 414. 2272. 500. 3488. 2375. 2772. 8635. 9 31 7969. 4791. 5590. 15038. 6600. 5172. 37189. 24734. 18350. 26810. 61923. 107083. 10 32 47483. 11588. 9592. 32167. 11847. 7577. 41640. 27362. 68663. 51591. 69002. 189256. 11 33 38678. 17831. 13982. 32937. 11560. 6631. 31234. 72725. 70491. 51128. 103959. 225578 12 34 4931. 2630. 1583. 3113. 867. 742. 3564. 5744. 9144. 4722. 9308. 23174. 13 35 43670. 14968. 9439. 30265. 13336. 9998. 47877. 116292. 68077. 53599. 164169. 285845. 14 51 3016. 1250. 1141. 1179. 452. 359. 2445. 1591. 5407. 1990. 4036. 11433. 15 52 2133. 848. 268. 1368. 591. 267. 981. 578. 3249. 2226. 1559. 7034. 16 53 1127. 566. 336. 255. 129. 93. 373. 0. 2029. 477. 373. 2879. 17 61 2453. 312. 255. 753. 495. 264. 5534. 1116. 3020. 1512. 6650. 11182. la 62 879. 295. 129. 592. 110. 97. 775. 0. 1303. 799. 775. 2877. 19 63 2354. 412. 438. 1679. 461. 0. 1583. 1356. 3204. 2140. 2939. 8283. 20 64 628. 340. 275. 451. 363. 81. 123. 0. 1243. 895. 123. 2261. 21 71 2147. 659. 407. 430. 0. 265. 360. 0. 3213. 695. 360. 4268. 22 72 1402. 216. 114. 172. 54. Ss. 0. 0. 1732. 314. 0. 2046. 23 73 11999. 2199. 1441. 2269. 627. 320. 1492. 2062. 15639. 3216. 3554. 22409. 24 74 l758. 568. 320. 673. 272. 0. 130. 0. 2646. 945. 130. 3721. 25 81 424. 283. 148. 113. 59. 198. 665. 0. 855. 370. 665. 1890. 26 82 580. 237. 184. 258. 0. 85. 473. 0. 1oot: 343. 473. 1817. 27 TOTAL 209837. 68440. 51456. 134365. 53052. 35557. 201184. 267435. 329733. 222974. 468619. 1021326. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ - - - - - - - - - - - - - - - -_ _ - - - - - - - - - - - - - - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -130- DATE 04/13/79 TIME 6:39PM Table 3B. INDONESIA SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 NUMBER OF PAID EMPLOYEES BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL 1 II 2771. 622. 422. 735. 159. 254- 789. 1252. $"S. 1149. 2041: 7004. 2 2 6926. 2990. 1957. 4916. 2601. 1770. 11700. 4974. 1873. 9287. 16674. 37834. 3 13 2919. 92t. 551. 1041. 300. 166. 1404. 1456. 4391. 1507. 2860. 8758. 4 14 2294 779. 687. 840. 454. 360. 1704. 0. 3760. 1654. 1704. 7118. S 15 1369. 401. 219. 512. 302. 89. 1334. 1651. 1989. 903. 2985. 5877. 6 16 6537. 985. 791. 1055. 581. 266. 5538. 4041. 8313. 1902. 9579. 19794. 7 17 384. 118. 93. 96. 0. 0. 0. O. 595. 96. 0. 691. 8 18 1714. 534. 660. 1141. 805. 409. 2271. 500. 2908. 2355. 2771. 8034. 9 31 6402. 4235. 5135. 14646. 6555. 5161. 37179. 24734. 15772. 26362. 61913. 104047. 10 32 35092. 10130. 8857. 31022. 11708. 7509. 41591. 27360. 54079. 50239. 68951. 173269. II 33 28537. 15372. 12610. 31180. 11260. 6522. 31141. 72715. 56519. 48962. 103856. 209337. 12 34 3092. 2149. 1433. 2884. 839. 730. 3554. 5721. 6674. 4453. 9275. 20402. 13 35 32610. 12856. 8619. 28810. 13084. 9890. 47743. 116291. 54085. 51784. 164034. 269903. 14 51 2405. 1092. 1024. 1123. 427. 356. 2428. 1589. 4521. 1906. 4017. 10444. tS 52 1418. 757. 251. 1335. 51a. 264. 980. 578. 2426. 218O. 1558. 6164. 16 53 886. 477. 248. 247. 127. 93. 371. 0. 1611. 467. 371. 2449. 17 61 1445. 274. 239. 736. 495. 264. 5523. 1116. 1958. 1495. 6639. 10092. 18 62 703. 269. 18. 591. 109. 97. 775. 0. 1090. 797. 775. 2662. 19 63 1800. 348. 363. 1645. 456. 0. t583. 1355. 2511. 2101. 2938. 7550. 20 64 496. 317. 254. 436. 363. 81. 123. 0. 1067. 880. 123. 2070. 21 71 1484. 571 357. 424. 0. 265. 358. 0. 2412. 689. 358. 3459. 22 72 723. 156. 79. 165. 54. 88. 0. 0. 958. 307. 0. 1265. 23 73 7741. 1806. 1271. 2202. 614. 319. 1483. 2062. 10818. 3135. 3545. 17498. 24 74 952. 381. 283. 647. 267. 0. 130. 0. 1616. 914. 130. 2660. 25 81 329. 238. 133. 107. 59. 198. 665. 0. 700. 364. 665. 1729. 26 82 495. 217. 176. 248. 0. 85. 473. 0. 888. 333. 473. 1694. ---------------------------------------------------------.-----------__------__----------------.------------------------------------ 27 TOTAL 151524. 58995. 46830. 128784. 52200. 35236. 200840. 267395. 257349. 216220. 468235. 941804. -- -----------------------------------------_--i_--------_. _ . -_______________._________________-____________________________________ -131- DATE 04/13/79 TIME 6.39PM Table 4B. INDONESIA . SURVEY OF SML.MED.LGE ESTABLISHMENTS. 1974 MAI4-DAYS WORKED PER YEAR BY SIZE CLASS SIZE CLASS * BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I II 446109. 98663. 71967 ;55247. 30355. 531tO. 185701. 204490. 616739. 238712. 390191. 1245642. 2 12 1540530. 702246 490820. 1;33961. 596476. 420928. 2848101. 1435344. 2733596. 2151365. 4283445. 9168406. 3 13 585822. 227582. 155291. 259705. 67929. 43709. 376090. 428537. 968695. 371343. 804627. 2144665. 4 14 448692. 164293. 143480. :70881. 100098. 70747. 358575. 0. 756465. 341726. 358575. 1456766. 5 15 226940. 71987. 45769. 98687. 60142. 22386. 335068. 475082. 344696. 181215. 810150. 1336061. 6 16 1045620. 195332. 171156. 38277. 116271. 54384. 1410638. 923382. 1412108. 408932. 2334020. 4i55060. 7 17 85024. 29964. 18360. 18971. 0. 0. 0. O. 133348. 18971. 0. 152319. 8 18 324702. 104841. 141801. 190678. 162594. 95823. 422420. 24480. 571344. 449095. 446900. 1467339. 9 31 1415123. 1033341. 1278852. 3E.18006. 1502516. 1174379. 8126357. 5529447. 3727316. 6294901. 13655804. 23678021. 10 32 6495107. 2188854. 2043296. 7496880. 2958352. 1900164. 10069163. 7033882. 10727257. 12355396. 17103045. 40185698. II 33 6424722. 3423983. 2902261. 7E61682. 2613613. 1586079. 7538708. 18958884. 12750966. 11861374. 26497592. 51109932. 12 34 788871. 560705. 415555. 839737. 238153. 175215. 794389. 1430675. 1765131. 1253105. 222S064. 5243300. 13 35 6663374. 2906666. 2143044. 6393129. 2846826. 2155293. 11415104 28545774. 11713084. 11395248. 39960878. 63069210 14 51 566149. 270476. 261827. 293404. 118695. 101293. 628025. 358495. 1098452. 513392. 986520 2598364. 15 52 285843. 175010. 52548. 232039. 156141. 35438. 182413. 132231. 513401. 423618. 314644 1251663. 16 53 139784. 85679. 46436. 43987. 36136. 28496. 104939. 0. 271899. 108619. 104939. 485457. 17 61 268239. 59533. 54169. 149617. 93498. 53411. 1393375. 247683. 381941. 296526. 1641058. 2319525. 18 62 115927. 53695. 27476. 96779. 13905. 23735. 178969. 0. 197098. 134419. 178969. 510486. 19 63 349595. 77505. 84507. 361771. 116805. 0. 245374. 205143. 511607. 478576. 450517. 1440700. 20 64 103289. 78816. 59304. 92246. 88620. 12725. 33974. 0. 241409. 193591. 33974 468974. 21 71 223049. 105862. 71986. 84854. 0. 59603. 93877. 0. 400897. 144457. 93877 639231. 22 72 126951. 24914. 20294. 36354. 8816. 17442. 0. 0 172159. 62612. 0. 234771. 23 73 1433631. 343139. 255282 443849. 148898. 87213. 316553. 429440. 2032052. 679460. 745993. 3457505. 24 74 144200. 70760. 46780. 142857. 57911. 0. 35760. 0. 261740. 200768. 35760. 498268. 25 81 68055. 56427. 27126. 25052. 10890. 56811. 168588. 0. 151608. 92753. 168588. 412949. 26 82 108397. 50883. 41844. 55762. 0. 22411. 33872. 0. 201124. 78173. 33872. 313169. 27 TOTAL 30423745. 13161156. 11071231. 30334412. 12143140. 8250795. 47296033. 66362969. 54656132. 50728347.113659002.219043481. -132- DATE 04/13/79 TIME 8 39PM Table 5B. INDONESIA SURVEY OF SML+MEO+LGE ESTABLISHMENTS. 1974 GROSS OUTPUT (ML.RUPIAHS) BY SIZE CLASS S12E CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I II 2577. 310. 303. 823. 218. 642. 1235. 1033. 3190. 1683. 2268. 7141. 2 12 6823. 3171. 2570. 5s1i. 5921. 14168. 35342. 5964. 12564. 25900. 41306. 79771. 3 13 2041. 686. 449. 1486. 666. 1473. 5669. 7631. 3176. 3625. 13300. 20101. 4 14 1365. 580. 1137. 1765. 1544. 649. 6342. 0. 3082. 3958. 6342. 13383. 5 15 589. 186. 364. 343. 190. 190. 8292. 9352. 1139. 722. 17644. 19505. 6 16 5363. 881. 821. 1206. 1934. 482. 26393. 11622. 7064. 3622. 38014. 48700. 7 17 251. 123. 153. 35. 0. 0. 0. 0. 527. 35. 0. 562. 8 18 1065. 446. 1147. 3895. 4960. 1280. 6050. 17. 2658. 10136. 6067. 18861. 9 31 4868. 3948. 4233. 16945. 9972. 12778. 114347. 133985. 13049. 39693. 248332. 301074 t0 32 i4262. 6793. 5813. 39293. 12688. 6930. 67039. 80469. 26868. 58911. 147508. 233286. It 33 13134. 7737. 6611. 22521. 21540. 4799. 43824. 137559. 27481. 48860. 181384 257725. 12 34 1777 944. 943. 1525. 713. 340. 9194. 8429. 3664. 2578. 17624. 23866. 13 35 14778. 7557. 6666. .21217. 11086. 13042. 45476. 214251 29000. 45344. 259727. 334072. 14 51 1559. 934. 1085. 975. 1272. 839. 3431. 1224. 3578. 3085 4654. 11318. 15 52 562. 357. 158. 875. 1179. 591. 720. 15. 1077. 2645. 735. 4457. 16 53 421. 243. 53. 277. 61. 12. 55. 0. 717. 350. 55. 1121. 17 61 1128. 441. 277. 2156. 1627. 1750. 20043. 1396. 1846. 5532. 21439 28817. 18 62 426. 297. 65. 692. 14. 312. 1879. 0. 788. 1018. 1879. 3684. 19 63 655. 267. 381. 2257. 1124. 0. 2270. 626. 1302. 3382. 2897. 7580. 20 64 469. 348. 256. 449. 848. 209. 399. 0. 1073. 1506. 399. 2978. 21 71 514. 213. 157. 841. 0. 2388. 326. 0. 884. 3229. 326. 4440. 22 72 182. 69. 67. 14. 340. 1158. 0. 0. 318. 1511. 0 1829 23 73 2103. 603. 413. 1389. 1394. 93. 11684. 5452. 3119. 2876. i7136. 23131. 24 74 210. 130. 40. 110. 36. 0. 12. 0. 379. 146. 12. 537. 25 81 168. 109. 71. 142. 37. 594. 3159. 0. 348. 773. 3159. 4280. 26 - 82 364. 112. 73. 99. 0. 36. 324. 0. . 549. 135. 324 1008. 27 TOTAL 77650. 37484. 34305. 127141. 79363. 64750. 413506. 619026. 149439. 271255. 1032531. 1453225. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - --_ _- - - - - - - - - - - --_ _- - - - - - - - - - - - - - - - - - - - - - - - - - - --_- - - - - - - - - - - - -133- DATE 04/13/79 TIME 6:39PM Table 6B. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 VALUE'ADDED (ML.RUPIAHS) BY SIZE CLASS SIZE CLASS : BY NUMBiER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I 1i 611. 106. i17. 369. 82. 185. 368. 571. 834. 636. 939. 2409. 2 12 1848. 759. 682. 2096. 1608. 9769. 11035. 1685. 3289. 13473. 12720. 29482. 3 13 620. 236. 145. 484. 60. 107. 1420. 4361. 1001. 651. 5781. 7433. 4 14 538. 212. 398. 606. 357. 222. 1403. 0. 1148. 1t86. 1403. 3736. 5 15 235. 87. 120. 139. 67. 65. 1362. 920. 442. 271. 2282. 2995. 6 16 2147. 363. 277. 429. 700. 204. 6664. 4194. 2787. t333. 10858. 14979. 7 17 135. 29. 50. 26. 0. 0. 0. 0. 214. 26. 0. 240. 8 Is 280. 99. 278. 1153. 958. 1011. 1807. 4. 657. 3123. 1810. 5590. 9 31 1874. 1543. 1460. 820. 3466. 4598. 41628. 41724. 4877. 8883. 83352. 97112. 1o 32 S506. 2314. 1760. 17579. 4757. -1058. 28349. 35455. 9179. 21278. 63803. 94260. 11 33 4879. 2280. 2044. 9032. 2062. 2065. 11947. 54023. 9204. 13159. 65970. 88333. 12 34 679. 279. 248. 457. 186. 127. 2423. 3172. 1206. 769. 5595. 7571. 13 35 5502. 2236. 1991. 5748. 3218. 3913. 13520. 05380. 9728. 12878. 118900 141507. 14 SI 656. 272. 222. 262. 137. 43. 597. 435. 1150. 442. 1032. 2624. 1s 52 311. 112. 42. 211. 189. 55. 186. 8. 465. 454. 194. 1114. 16 53 154. 80. 23. 98. 35. 10. 32. 0. 257. 143. 32. 431. 17 61 325. 139. 85. 415. 545. 607. 7443. 738. 549. 1567. 8180. 10297. la 62 206. 107. 34. 238. 9. 53. 589. 0. 346. 300. 589. 1235. 19 63 291. 172. 110. 613. 430. 0. 811. 29. 573. 1043. 840. 2456. 20 64 210. 147. 101. 239. 247. 81. 108. 0. 458. 568. 108. 1134. 21 71 237. 67. 74. 335. 0. 449. 200. 0. 378. 784. 200. 1362. 22 72 102. 24. 44: 10. 82. 355. 0. 0. 170. 448. 0. 618. 23 73 905. 213. 147. 349. 447. 33. 3932. 2896. 1266. 830. 6828. 8923. 24 74 149. 83. 28. 77. 28. 0. 5. 0. 260. lOS. S. 370. 25 SI 76. 56. 36. 38. 18. 64. 735. 0. 168. 120. 735 1023. 26 82 157. 66. 44. 67. 0. 23. 149. 0. 267, 91. 149 507. 27 TOTAL 28235. 12080. 10560. 41892. 19686. 22983. 136711. 255595. 50875. 84561. 392306. 527742. - - - - - - - - - - - - - - - - - - . - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ _ - - - - - - - - - - - - - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -134- OATE 04/13/71 'Tip$ 6 39Pm Table 7B. INDONESIA: SURVEY OF SML+MEDOLGE ESTABLISHMENTS. 1974 WAGES & SALARIES(ML.RUPIAHS) BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC S- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 SOO & UP 5- I9 20- 99 100 a UP ALL I 11 167. 40. 31. 79. 14. 33. 82. 194. 238. 127. 276. 641. 2 12 527. 232. 179. 589. 297. 350. 1416. 599. 938. 1236. 2015. 4188. 3 13 306. 98. 48. 153. 26. 39. 279. 756. 452. 218. 1036. 1706. 4 14 S8O. 77. 62. 124. 72. 81. 242. 0. 327. 277. 242. 846. S 15 76. 28. 23. 46. 39. 31. 198. 350. 127. I16. 548. 791. 6 ¶6 370. 78. 56. 137. 77. 45. 1000. 1966. 504. 260. 2966. 3730. 7 17 34. 10. 6. 13. O. 0. 0. O. SO. 13. 0. 63. a 18 95. 32. 67. 127. 124. 57. 356. 7. 193. 308. 363. 864. 9 31 624. 444. 533. 1972. 1075. 1184. 8708. 9130. 1600. 4231. 1783S. 23669. 10 32 1719. 654. 603. 2568. 1228. 774. 5737. 6345. 2976. 4569. 12081. 19627. II 33 1485. 819. 831. 1922. 657. 447. 2883. 9034. 3135. 3027. 11917. 18079. 12 34 174. 121. 97. 195. 57. 40. 558. 1062. 391. 292. 1617. 2301. 13 35 1504. 659. 513. 1751. 939. 736. 4204. 15326. 2675. 3426. 19530. 25631. 14 51 120. 75. 51. 72. 38. 11. 228. 129. 247. 121. 356. 724. 15 52 56. 33. 16. 55. 30. 9. 51. 3. 105. 94. 54. 254. 16 53 33. 21. 11. 18. IS. 4. 24. 0. 65. 37. 24. 127. 17 61 96. 28. 26. 93. 68. 42. 1353. 210. 151. 202. 1563. 1916. 18 62 48. 2S. 13. 79. 9. 23. 104. 0. 8S. 112. 104. 3019 19 63 98. 32. 33. 203. 79. 0. 261. 128. 163. 282. 389. 834. 20 64 56. 43. 35. 61. 91. 14. 24. 0. 134. 186. 24. 344. 21 7t 65. 40. 183. 43. O. 27. 22. 0. 289. 70. 22. 381. 22 72 33. 7. 9. S. 9. 11. O. 0. 49. 25. 0. 75. 23 73 302. 67. 52. 127. 82. 18. 303. 689. 421. 226. 992. 1639. 24 74 5t. 2S. 16. 42. 14. 0. 4. 0. 96. 55. 4. 155. 25 81 27. 22. 16. 13. 14. tI. 67. 0. 66. 46. 67. 178. 26 82 44. 22. 16. 37. O. 28. 63. 0. 83. 65. 63. 211. 27___TOTAL___._6299._____3735__.__3527._____0__44____5056.____4024.____26166.____45926.____¶____6__.__19624.____74092.____109277.__ 27 TOTAL 8299. 3735. 3527. tO544. 5056. 4024. 2816e. 45926. 15581. 19624. 74092. 109277. -135- DATE 04/13/79 TIME 6.39PM Table 8B. :INOONESIA: SURVEY OF SML+MEO+LGE ESTABLISHMENTS, 1974 IlUbMER OF PERSONS ENGAGED PER ESTABLISHMENT BY SIZE CLASS SIZE Ct.ASS: fY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL 1 11 6. 11. 17. 31. 53. 85. 197. 1252. 7. 39. 408. 11. 2 12 6. 11. 17. 28. 64. 89. 221. 829. 8. 39. 283.- la. 3 13 6. II. 17. 30. 60. 83. 176. 1456. 7. 36. 318. 10. 4 14 6. 12. 17. 31. 57. 90. 155. 0. 8. 42. 155. 12. 5 15 6. 11. 17. 27. 60. a6. 267. 550. 7. 36. 373. 16. 6 16 6. It. 17. 27. 59. 89. 213. 1O0O. 6. 36. 319. 12. 7 17 6. 11. 16. 25. O. 0. 0. O. 7. 25. 0. 8. B la 6. 12. t7. 30. 58. 83. 189. 500. 8. 41. 213. 17. 9 31 7. 11. 17. 30. 59. 86. 197. 853. 9. 40. 284. 37. 10 32 6. i1. 17. 29. 59. 63. 184. 883. 7. 37. 268. 17. II 33 6. 12. 17. 28. 56. 82. 188. 1192. 6. 35. 458. 22. 12 34 6. II. 17. 28. 58. 82. 188. i149. 8. 34. 388 18. 13 39 6. 1I. 17. 28. 56. 81. t82. 1237. S. 37. 460. 26. 14 51 6. II. i7. 27. 57. 90. 204. 796. 8. 36. 288. 16. 15 52 6. 12. 17. 27. 59. 89. 164. 578. 7. 35. 223. 14. 16 53 7. II. 17. 28. 65. 93. 187. 0. 9. 40. 187. 1i. 17 61 6. Ii. 17. 30. 55. 88. 264. 558. 6. 41. 289. 21. 18 62 6. II. 16. 33. 55. 97. 194. O. 8. 38. 194. 15. 19 63 6. 11. 17. 31. 58. 0. 226. 452. 7. 34. 294 *6. 20 64 6. 12. 17. 28. 61. 81. 123. 0. 9. 39. 123. 14. 21 71 6. 11. 17. 36. 0. 88. 120. 0. 7. 46. 120. 9. 22 72 6. 11. 16. 25. 54. 88. 0. 0. 6. 35. 0 7. 23 73 6. 12. 17. 25. 57. 80. 149. 687. 7. 31. 273. 9. 24 74 6. 11. 17. 27. 54. O. 130. O. 8. 32. 130. 10. 25 81 7. 11. 16. 28. 59. 99. 222. 0. 9. 53. 222. 17. 26 82 7. 12. 17. 26. 0. 85. 237. 0. 9. 31. 237 *4. 27 TOTAL 6. II. 17. 28. 58. 83. 191. 1083. 8. 37. 360. 20. ___- - - - - -_______- - - - - - - - - - - - - - - - - - - - -_________- - - - - - - - - - - - - - - - - - - - - - -____________.__- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_____- - - - - - - - - - -____________________.- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -................____ _ ___ -136- OATE 04/13/79 TIME 6:39PM Table 9B. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 Table 9B. MAN-DAYS WORKED PER PAID EMPLOYEE BY SIZE CLASS ---------------------.-.-----------.-.-.-------------------------___---------_---- ------------------------------------------------ SIZE CLASS : BY NUMBER OF PERSONS ENGAGEO PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 SOO & UP 5- 19 20- 99 100 S UP ALL 1 II 161. 159. 171. 211. 191. 209. 235. 163. 162. 20S. 191. 179. 2 12 222. 235. 251. 231. 229. 238. 243. 289. 230. 232. 257: 242. 3 13 201. 247. 282. 249. 226. 263. 268. 294. 221. 246. 281. 24S. 4 14 196. 211. 209. 203. 220. 197. 210. O. 201. 207. 210. 205. 5 15 166. 180. 209. 193. 199. 252. 251. 288. 173. 201. 271. 227. 6 Is 160. 198. 216. 226. 200. 204. 295. 229. t70. 215. 244. 210. 7 17 221. 254. 197. 198. 0. O. O. O. 224. 198. O. 220. 8 18 189. 196. 215. 167. 202. 234. 186. 49. 196. 191. 161. 183. 9 31 221. 244. 249. 247. 229. 228. 219. 224. 236. 239. 221. 228. 10 32 185. 216. 231. 242. 253. 253. 242. 257. 196. 246. 248. 232. 11 33 225. 223. 230. 246. 232. 243. 242. 261. 226. 242. 255. 244. 12 34 255. 261. 290. 291. 284. 240. 224. 250. 264. 281. 240. 257. 13 35 204. 226. 249. 222. 218. 218. 239. 245. 217. 220. 244. 234. 14 5I 235. 248. 256. 261. 278. 285. 259. 226. 243. 269. 246. 249. 15 52 202. 231. 209. 174. 269. 134. ¶86. 229. 212. 194. 202. 203. 16 53 158. 180. 187. 178. 285. 306. 283. 0. 169. 233. 283. 199. 17 61 186. 217. 227. 203. 189. 202. 252. 222. 195. 198. 247. 230. is 62 165. 200. 233. 164. 12S. 245. 231. 0. 181. 169. 231. 192. 19 63 194. 223. 233. 220. 256. 0. 155. 151. 204. 228. 153. 191. 20 64 208. 249. 233. 212. 244. 157. 276. 0. 226. 220. 276. 227. 21 71 150. 185. 202. 200. 0. 225. 262. 0. 166. 210. 262. 185. 22 72 176. 160. 257. 220. 163. 198. 0. 0. 180. 204. 0. 186. 23 73 185. 190. 201. 202. 242. 273. 213. 208. l88. 217. 210. 198. 24 74 151. 186. 165. 221. 217. 0. 275. 0. 162. 220. 275. 187. 25 81 207. 237. 204. 234. 85. 287. 254. 0. 217. 255. 254. 239. 26 82 219. 234. 238. 225. 0. 264. 72. 0. 226. 235. 72. 185. 27 TOTAL 201. 223. 236. 236. 233. 234. 23S. 248. 212. 235. 243. 233. _ _ _ _- _ _ _ _- __ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _- _ _ _ _ _ _ _ _._- _ _ _- _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _- _ _ _ _ _ _ _ _ _ _ _- _ _ _ _ _ _ _ _ _ _ _ _ _ _ _- _ _ _ _ _ _ _. -137- OATE 04/13/79 TIME 6539PM Table 10B. INOONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 VALUE ADDED(TH.RUPIAHS) PER PERSON ENGAGEO BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 1S- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I 11 176 147. 259. 494. 5t7. 728. 466. 456. 180. 549. 460 307. 2 12 194. 221. 320. 412. 614. 5516. 943. 339. 218. 1422. 763. 715. 3 13 112. 214. 239. 448. 198. 645. 1011. 2996. 138. 420. 2021. 639. 4 14 173. 242. 526. 697. 787. 617. 823. 0. 242. 704. 823. 460. 5 I5 119. 195. 520. 260. 221. 733. 1021. 557. 166. 293. 764. 456. 6 16 218. 317. 327. 397. 1193. 767. 1203. 1038. 235. 689. 1134. 641 7 17 231. 211. 519. 257. 0 O. 0. 0. 262. 257. O. 262. a 18 127. 169. 400. 999. 1189. 2442. 795. 8. 188. 1315. 653. 647. 9 31 235. 322. 261. 55. 525. 689. 1119. 1687. 266. 331. 1346. 907. 10 32 108. 200. 183. 546. 402. -140. 681. 1296. 134. 412. 925. 498 11 33 126. 128. 146. 274. 178. 311. 383. 743. 131. 257. 635. 392. 12 34 138. 106. 157. 147. 214. 171. 680. 552. 132. 163. 601. 327. 13 35 126. 149. 211. 190. 241. 391. 282. 906. 143. 240. 724. 495. 14 Si 218. 217 195. 223. 302. 121. 244. 273. 213. 222. 256. 230. 15 52 146. 133. 155. 154. 319. 206. 189. is. 143. 204. 125 158. 16 53 137. 142. 67. 384. 269. 106. 85. 0. 126. 299. 85. 150. 17 61 132. 446. 334. 551. 1102. 2299. 1345. 661. 182. 1037. 1230. 921 18 62 234. 362. 261. 401. 82. 545. 761. 0. 266. 375. 761. 429. 19 63 124. 417. 252. 365. 933. 0. 512. 21. i79. 487. 286. 296 20 64 335. 431. 368. 530. 682. 1006. 877. 0. 368. 635. 877 502. 21 71 III. 101. 182. 779. 0. 1696. 555. O. 118. 1128. 555 319. 22 72 73. 112. 383. 59. 1528. 4037. 0. 0. 98. 1426. 0. 302. 23 73 75. 97. 102. 154. 713. 104. 2635. 1404. 81. 258. 1921. 398. 24 74 85. 147. 86. 115. 101. O. 40. 0. 98. III. 40. 99. 25 81 178. 199. 245. 333. 305. 325. 1105. 0. 197. 325. 1105. 541. 26 82 271. 278. 240. 261. 0. 275. 315. 0. 267. 264. 315. 279. 27 TOTAL 135. 177. 205. 312. 371. 646. 680. 956. 154. 379. 837. 517. - - - - - - - - - - - - - - - - - - - _ - - - - - - - - - - - - - - - - - - - - . - _ - - - - - - - - - - - - - - - - - - - - - - - - _ _ - - - - - - - - _ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -138- DATE 04/13/79 TIME 6 39PM Table llB. INDONESIA SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 WAGES AND SALARIES PER PAID EMPLOYEE (TH.RUPIAHS) BY SIZE CLASS SIZE CLASS BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 S UP 5- 19 20- 99 100 & UP ALL I II 60. 64. 72. 108. 90. 131. 104. 155. 62. Ill 135. 92. 2 12 76. 78. 92 120. 114. 198. 121. 120. 79. 133. 121 111. 3 13 105 106. 87. 147. 87. 236. 199. 520. 103. 145. 362. 195. 4 14 82 99. 90 148. 160. 224. 142. 0. 87. 168. 142 119. 5 15 56. 71 104. 91. 128. 345. 148. 212. 64. 128. 184. 135. 6 16 57 79. 70. 130. 133. 171. 181. 487. 61. 137. 310. 158. 7 17 89 83. 62 140. 0. 0. 0. 0. 83. 140. 0. 91. 8 18 55. 60. 101. Ill. 154. 140. 157. 13. 67. 131. 131 1O0. 9 31 97. 105 104 135. 164. 229. 234. 369. 10. 161. 288 227 10 32 49 65. 68. 83 lOS. 103. 138. 232. 55. 91. 175. 113. 11 33 52 53 66. 62. 58. 69. 93. 124 55. 62. ¶15 86. 12 34 56 56. 67. 67. 68. 55. 156. 186. 59. 66. 174. 113. 13 35 46 51. 59. 61. 72. 74. 88. 132. 49. 66. 119. 95. 14 51 50. 69. SO 64. 89 32. 94. 81. 55. 63. 89. 69. 15 52 39. 43. 65. 41. 52. 34. 52. 5. 43. 43. 35. 41. 16 53 38. 44. 44. 73 119. 42. 66. 0. 40. 80. 66. 52. 17 61 66. 104. 110. 126. 138. 158. 245. I88. 77. 135 235. 190. 18 62 68. 93. 113. 134. 83. 235. 134. 0. 79. 140. 134. 113. 19 63 54. 91. 91. 124. 173. 0. 165. 94. 65. 134 132 110. 20 64 112. 137. 139. 185. 250. 176. 193. 0. 126 211. 193. 166. 21 71 44. 70. 513. 101. 0. 103. 63. 0. 120. 102. 63. 110. 22 72 45 48. 119. 32. 176. 121. 0 0. 52. 83. 0 59. 23 73 39. 37 41 58. 133. 56. 204. 334 39. 72. 280. 94 24 74 54 74. 58. 64. 51. 0. 28. 0. 59. 60. 28 58. 25 81 83. 93 122. 123. 243. 92. 101. 0. 94. 125. 101 103. 26 82 90 102. 93. 149. 0. 331. 133. 0. 93. 195. 133. 124 27 TOTAL 55. 63. 75. 82. 97 114. 140. 172. 60. 91 158. 116. -139- DATE 04/13/79 TIME 6 39PM Table 12B. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS 1974 dAGES AND SALARIES(RUPIAHS) PER PERSON PER DAY BY S12E CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I 11 375. 405. 425. 511. 473. 626. 444. 949. 386. 532. 709.. 515. 2 12 342. 330. 365. 519. 498 832. 497. 417. 343. 574. 470. 457. 3 13 522. 430. 310. 589. 385. 896. 743. 1765. 466. 588. 1287. 795. 4 14 420. 468. 430. 726. 724. 1139. 675. 0. 432. 811. 675. 581. 5 15 336. 393. 500. 471. 640. 1372. 591. 737. 370. 639. 676. 592. 6 16 354. 400. 325. 576. 666. 835. 709. 2129. 357. 636. 1271. 898. 7 17 400. 328. 315. 707. 0. 0. 0. O. 372. 707. 0. 414. 8 18 292. 303. 472. 664 762. 600. 843. 272. 339. 686. 812. 589. 9 31 441. 429. 417. 545. 715. 1008. 1072. 1651. 429. 672. 1306. 1000. 10 32 265. 299. 295. 343. 415. 407. 570. 902. 277. 370. 706 488. II 33 231. 239. 286. 251. 252. 282. 382. 476. 246. 255. 450. 354. 12 34 221. 215. 233. 232. 241. 230. 699. 742. 222. 233. 727. 439. 13 35 226. 227. 239. 274. 330. 341. 368. 537 228. 301. 489. 406. 14 51 212. 278. 196. 244. 321. 111. 363. 358. 225. 236. 361. 279. Is 52 195. 187. 313. 238. 195. 250. 279. 24. 204. 223. 172 203. 16 53 238. 245. 235. 412. 417 137. 233. 0. 240. 342. 233. 261. 17 61 358. 479. 485. 619. 728. 781. 971. 847 395. 683. 953. 826. 18 62 411 465. 484. 821. 651. 971. 579. 0. 436. 830. 579. 590. 19 63 279. 409. 392. 562. 676. 0. 1064. 624. 316. 590. 864. 579. 20 64 539. 550. 594. 877. 1024. 1123. 700. 0. 556. 960. 700. 733. 21 71 293. 380. 2544. 506. 0. 456. 240. 0. 720. 485. 240. 597. 22 72 257. 299. 462. 145. 1075. 612. 0. 0. 287. 406. 0. 319. 23 73 211. 196. 203. 286. 550. 206. 956. 1604. 207. 333. 1329. 474. 24 74 355. 397. 350. 292. 233. 0. 100. 0. 366. 275. 100 310. 25 81 400. 392. 596. 524. 1318. 319. 397. 0. 432. 492. 397. 431. 26 82 409. 433. 390. 661. 0. 1255. 1864. 0. 411. 831. 1864. 673. 27 TOTAL 273. 284. 319. 348. 416. 488. 596. 692. 285. 387 652. 499. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ - - - - - - _ _ - - - - _ _ - - _ _ - - - - - - - - - - - - - _ - - _ - - - _ _ - - - _ - - - - - - - - - - - - - - - - - - - - - - - - - -140- DATE 04/13/79 TIME 6 39PM Table 13B. INDONESIA * SURVEY OF SML-MED+LGE ESTABLISHMENTS. 1974 WAGES AND SALARIES AS % OF VALUE ADDED BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 S UP 5- 19 20- 99 100 & UP ALL 1 11 27. 38. 26. 21. 17. la. 22. 34. 29. 20. 29. 27. 2 12 29. 31. 26. 28. 18. 4. 13. 36. 29. 9. 16. 14. 3 13 49. 41. 33. 32. 44. 37. 20. 17 45. 34. 18. 23. 4 14 35. 36. 16. 20. 20. 36. 17. 0. 28. 23. 17. 23. 5 15 32. 32. 19. 33. 58. 47. 15. 38. 29. 43. 24. 26. 6 16 17. 22. 20. 32. 11. 22. i5. 47. 18. 20. 27. 25. 7 t7 25. 34. 11. 52. 0. 0. 0. 0. 23. 52. 0. 26. 8 18 34. 32. 24. II. 13. 6. 20. 172. 29. 10 20. 15. 9 31 33. 29. 36. 240. 31. 26. 21. 22. 33. 48. 21. 24 10 32 34. 28. 34. 15. 26. -73. 20. 18. 32. 21. 19. 21. II 33 30. 36. 41. 21. 32. 22. 24. 17. 34. 23. 18. 20. 12 34 26. 43. 39. 43. 31. 32. 23. 33. 32. 38. 29. 30. 13 35 27. 29. 26. 30. 29. 19. 31. 15. 27. 27. 16. 18. 14 51 18. 28. 23. 27. 28. 26. 38. 30. 21. 27. 35 28. i5 52 la. 29. 39. 26. 16. 16. 27. 37. 23_ 21. 28. 23. 16 53 22. 26. 48. 19. 44. 40. 77. 0. 25. 26. 77. 29. 17 61 30. 20. 31. 22. 12. 7. 18. 28. 27. 13. 19. 19. 18 62 23. 23. 40. 33. 100. 44. 18. 0. 25. 37. 18. 24. 19 63 34. 18. 30. 33. la. 0. 32. 442. 28. 27. 46. 34. 20 64 26. 30. 35. 34. 37. 18. 22. 0. 29. 33. 22. 30. 21 71 28. 60. 248. 13. 0. 6. II. 0. 76. 9. 1I. 28. 22 72 32. 31. 21. 52. 11. 3. 0. 0. 29. 6. 0. 12. 23 73 33. 32. 35. 36. 18. 54. 8. 24. 33. 27. tS. 18. 24 74 34. 34. 59. 54. 49. 0. 69. 0. 37. 53. 69. 42. 25 81 36. 39. 45. 35. 80. 28. 9. 0. 39. 38. 9 17. 26 82 28. 33. 37. 55. 0. 120. 42. 0. 31. 72. 42. 42. 27 TOTAL 29. 31. 33. 25. 26. 18. 21. 18. 31. 23. 19. 21. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -141- DATE 04/13/79 TIME 5839PM Table 14B. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 NUMBER OF ESTABLISHMENTS AND THEIR PERCENT OtSTRIBUTION BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 tS- 19 20- 49 50- 74 75- 99 100-499 500 a UP 5- 19 20- 99 100 & UP ALL I 11 8t.92 9.18 3.87 3.44 0.43 0.43 0.57 0.14 94.98 4.30 0.72 697. 2 12 67.58 13.42 5.64 8.01 1.83 0.89 2.37 0.27 86.63 10.73 2.64 2236. 3 13 84.18 8.30 3.03 3.11 0.43 0.17 0.69 0.09 95.51 3.72 0 78 1157. 4 14 74.63 11.21 6.64 4.13 1.18 0.59 1.62 0.00 92.48 5.90 1.62 678. 5 15 79.29 9.29 3.33 4.76 1.19 0.24 1.19 0.71 91.90 6.19 1.90 420. 6 16 87.68 5.32 2.66 2.09 0.52 0.16 1.36 0.21 95.67 2.77 1.57 1916. 7 17 80.70 10.53 5.26 3.51 0.00 0.00 0.00 0.00 96.49 3.51 0 00 114. 8 18 68.53 9.85 7.92 7.53 2.70 0.97 2.32 0.19 86.29 11.20 2.51 SI8. 9 31 42.90 14.59 11.55 17.35 3.88 2.10 6.61 1.01 69.03 23.34 7 63 2858. 10 32 70.81 9.06 5.13 10.06 1.81 0.82 2.03 0.28 85.01 12.69 2.31 11131. 11 33 60.24 15.00 8.15 11.58 2.03 0.79 1.62 0.60 83.38 14.40 2.22 10243. 12 34 61.67 18.22 7.41 8.91 1.18 0.71 1.50 0.39 87.30 10.80 1.89 1268. 13 35 65.99 12.07 5.23 10.07 2.19 1.15 2.43 0.87 83.29 13.41 3.30 10812. 14 51 65.74 15.18 9.47 5.99 1.11 0.56 1.67 0.28 90.39 7.66 1.95 718. 15 52 69.48 t4.01 3.07 9.60 1.92 0.58 1.1S 0.19 86.56 12.09 1 34 521. 16 53 66.53 19.92 7.97 3.59 0.80 0.40 0.80 0.00 94.42 4,78 0.80 251. 17 61 80.68 5.25 2.81 4.69 1.69 0.56 3.94 0.38 88.74 6.94 4.32 533. l8 62 70.20 13.13 4.04 9.09 1.01 0.51 2.02 0.00 87.37 10.61 2.02 198. 19 63 74.58 6.78 4.90 10.36 1.51 0.00 1.32 0.56 86.25 11.86 1.88 531. 20 64 58.43 17.47 9.64 9.64 3.61 0.60 0.60 0.00 85.54 13.86 0.60 166. 21 71 77.78 12.89 5.33 2.67 0.00 0.67 0.67 0.00 96.00 3.33 0.67 450. 22 72 87.46 6.81 2.51 2.51 0.36 0.36 0.00 0 00 96.77 3.23 0 00 279. 23 73 83.92 7.79 3.51 3.63 0.45 O.16 0.41 0.12 95.23 4 24 0.53 2451. 24 74 73.56 13.35 4.97 6.54 1.31 0.00 0.26 0.00 91.88 7.85 0.26 382. 25 81 59.63 22.94 8.26 3.67 0.92 1.83 2.75 0.00 90.83 6.42 2.75 109. 26 82 66.15 15.38 8.46 7.69 0.00 0.77 1.54 0.00 90.00 8.46 1.54 130. 27 TOTAL 67.69 11.73 6.04 9.33 1.81 0.84 2.08 0.49 85.45 11.99 2.56 50767. _________- - _ _ _ _ _ ________________- - . _ _ _ _ _ __ __ __ __ __ _______________________________- - - - - - -.....- - - - - - - - - -.......- - - - - - - - - - - - - - - - - - - - - - -...........-..I - - - - - - - - - - - - - - -_._____-__-____- _ -__-_ -142- OATS 04/13/79 TIME 6:39PM Table 15B. INOONESIA SURVEY OF SML-MED-LGE ESTASLISHMgNTS. 1974 NUMBER OF PERSONS ENGAGED AND THEIR PERCENT DISTRIBUTION BY SIZ CLASS ----_------------------------_------------------------_-----------__---------__--------------- ------------------------------------- SIZE CLASS . BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 SO- 74 75- 99 100-499 500 B UP 5- 19 20- 99 100 & UP ALL 1 11 44.18 9.20 5.78 9.53 2.03 3.24 t0.07 *5.98 59.16 14.80 26.04 7837. 2 12 23.07 8.32 5.16 12.33 6.36 4.30 28.39 12.07 36.55 22.98 40.46 41223. 3 13 47.43 9.46 5.23 9 29 2.59 1.43 12.07 12.51 62.12 13.30 24 58 1i636. 4 14 38.19 10.79 9.31 10.71 5.59 4.43 20.98 0.00 58.29 20.73 20.98 8122. S 15 30.14 6.82 3.52 8.13 4.60 1.35 20.31 25.13 40.48 14.08 45.44 6569. 6 16 42.17 4.90 3.63 4.63 2.51 1.14 23.72 17.30 50.70 8.28 41.02 23352. 7 17 63.54 14.85 10.59 11.03 0.00 0.00 0.00 0.00 88.97 11.03 0.00 916. 8 l8 25.52 6.82 8.05 13.38 9.33 4.79 26.31 5.79 40.39 27.50 32.10 8635. 9 31 7.44 4.47 5.22 14.04 6.16 4.83 34.73 23.10 17.14 25.04 57.83 ¶07083. ¶0 32 25.09 6.12 5.07 17.00 6.26 4.00 22.00 14.46 36.28 27.26 36.46 189256. II 33 17.15 7.90 6.20 14.60 5.12 2.94 13.85 32.24 31.25 22.67 46.09 225578. 12 34 21.28 11.35 6.83 13.43 3.74 3.20 15.38 24.79 39.46 20.38 40.17 23174. 13 35 15.28 5.24 3.30 - 10.59 4.07 3.50 16.75 40.68 23.82 18.75 57.43 285845. 14 51 26.38 10.93 9.98 10.31 3.95 3.14 21.39 13.92 47 29 17.41 35.30 11433. 15 52 30.32 12.06 3.81 19.45 8.40 3.80 13.95 8.22 46.19 31.65 22.16 7034. 16 53 39.15 19.66 11.67 8.86 4.48 3.23 12.96 0.00 70.48 16.57 12.96 2879. 17 61 21.94 2.79 2.28 6.73 4.43 2.36 49.49 9.98 27.01 13.52 59 47 11182. 18 62 30.55 10.25 4.48 20.58 3.82 3.37 26.94 0.00 45.29 27.77 26.94 2877. 19 63 28.42 4.97 5.29 20.27 5.57 0.00 19.11 16.37 38.68 25.84 35.48 8283. 20 64 27.78 15.04 12.16 19.95 16.05 3.58 5.44 0.00 54.98 39.58 5.44 2261. 21 71 50.30 15.44 9.54 10.07 0.00 6.21 8.43 0.00 75.28 16.28 8.43 4268. 22 72 68.52 10.56 5.57 8.41 2.64 4.30 0.00 0.00 84.65 15.35 0.00 2046. 23 73 53.55 9.81 6.43 10.13 2.80 1.43 6.66 9.20 69.79 14.35 15.86 22409. 24 74 47 25 18.26 8.60 18.09 7.31 0.00 3.49 0.00 71.11 25.40 3.49 3721. 25 81 22.43 14.97 7.83 5.98 3.12 10.48 35.19 0.00 45.24 *9.58 35.19 1890. 26 82 31.92 13.04 10.13 14.20 0.00 4.68 26.03 0.00 55.09 18.88 26.03 1817. 27 TOTAL 20.55 6.70 5.04 13.16 S.19 3.48 19.70 26.19 32.28 21.83 4S 88 1021326 - - - - - - - - -_ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ _ - - - - - - - - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ - -_ - - - - -143- OATE 04/13/79 TIME 6:39PM Table 16B. INDONESIA * SURVEY OF SML+MED+LGE ESTABLISHMENTS. 1974 GROSS OUTPUT (ML.RUPIAHS) AND THEIR PERCENT DISTRIBUTION BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC 5- 9 10- 149 20- 49 50- 74 75- 99 100-499 500 L UP 5- 19 20- 99 100 & UP ALL 1 11 36.09 4.34 4.24 11.53 3.05 8.98 17.29 14.47 44.67 23.56 31.76 7141. 2 12 8.55 3.98 3.22 7.28 7.42 17.76 44.30 7.48 15.75 32.47 51.78 79771. 3 13 10.15 3.41 2.24 7.39 3.32 7.33 28.20 37.96 15.80 18.04 66.16 20101. 4 14 10.20 4.34 a.50 13.19 11.54 4.85 47.39 0.00 23.03 29.58 47.39 13383. 5 15 3.02 0.95 1.87 1.76 0.97 0.97 42.51 47.95 5.84 3.70 90 46 19505. 6 16 11.01 1.81 1.68 2.48 3.97 0.99 54.19 23.86 14.51 7.44 78.06 48700. 7 17 44.59 21.92 27.31 6.17 0.00 0.00 0.00 0.00 93.83 6.17 0.00 562. a 18 5.65 2.37 6.08 20.66 26.30 6.79 32.08 0.09 14.09 53.74 32 17 18861. 9 31 1.62 1.31 1.41 5.63 3.31 4.24 37.98 44.50 4.33 13.18 82.48 301074. 10 32 6.11 2.91 2.49 16.84 5.44 2.97 28,74 34.49 11.52 25.25 63.23 233286. II 33 5.10 3.00 2.57 8.74 8.36 1.86 17.00 53.37 10.66 18.96 70.38 257725. 12 34 7.44 3.96 3.95 6.39 2.99 1.42 38.52 35.32 15.35 10.80 73.85 23866 13 35 4.42 2.26 2.00 6.35 3.32 3.90 13.61 64.13 8.68 13.57 77 75 334072. 14 St 13.78 8.25 9.59 8.61 11.24 7.41 30.31 10.81 31.62 27.26 41.12 11318. 16 52 12.60 8.01 3.55 19.63 26.46 13.26 16.16 0.34 24.16 59.34 16.50 4457. 16 53 37.58 21.65 4.70 24.74 5.41 1.04 4 88 0.00 63.93 31.19 4 88 1121. 17 61 3.91 1.53 0.96 7.48 5.65 6.07 69.55 4.85 6.40 19.20 74.40 28817. Is 62 11.55 8.07 1.76 18.78 0.37 8.48 50.99 0.00 21.38 27.63 50.99 3684. 19 63 8.64 3.52 5.02 29.78 14.83 0.00 29.95 8.26 17.17 44.61 38.22 7580. 20 64 15.74 11.70 8.88 16.08 28.49 7.01 13.41 0.00 36.02 50.57 13.41 2978. 21 71 11.56 4.80 3.53 18.95 0.00 53.79 7.35 0.00 19.91 72.74 7.35 4440. 22 72 9.94 3.78 3.65 0.79 18.56 63.28 0.00 0.00 17.37 82.63 0 00 1829. 23 73 9.09 2.61 1.79 6.00 6.03 0.40 50.51 23.57 13.48 12.43 74 08 23131 24 74 39.07 24.20 7.40 20.49 6.65 0.00 2.18 0.00 70.67 27.14 2.18 537. 25 81 3.92 2.54 1.66 3.32 0.85 13.88 73.82 0.00 8.12 18.06 73.a2 4280. 26 82 36.14 11.11 7.25 9.80 0.00 3.57 32.13 0.00 54:49 13.37 32.13 1008. 27 TOTAL 5.34 2.58 2.36 8.75 5.46 4.46 28.45 42.60 10.28 18.67 71.05 1453225. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_. - - - - - - - - - - - - - - - - -_ - -_ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -144- DATE 04/13/79 TIME 6.39PM Table 17B. INDONESIA : SURVEY OF SML+MED+LGE ESTABLISHMENTS. I974 VALUE ADDED (ML.RUPIAHS) AND THEIR PERCENT DISTRIBUTION mY SIZE CLASS SIZE CLASS *SY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC S- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 5 UP ALL 1 11 25.34 4.39 4.88 15.33 3.41 7.67 15.27 23.70 34.61 26.42 38.97 2409. 2 12 6.27 2.57 2.31 7.11 5.45 33.14 37.43 5.72 11.15 45.70 43.15 29482. 3 13 8.34 3.17 1.95 6.51 0.80 1.44 19.10 58.67 13.47 8.76 77.78 7433. 4 14 14.40 5.67 10.65 16.23 9.56 5.94 37.55 0.00 30.72 31.73 37.55 3738. 5 15 7.84 2.91 4.01 4.64 2.23 2.18 45.46 30.72 14.76 9.05 76.18 2995. 6 16 14.33 2.42 1.85 2.86 4.67 1.36 44.49 28.00 18.61 8.90 72.49 14979. 7 17 56.16 12.00 21.01 10.83 0.00 0.00 0.00 0.00 89.17 10.83 0.00 240. a 18 5.01 1.78 4.97 20.63 17.14 18.09 32.32 0.07 11.76 55.86 32.39 5590. 9 31 1.93 1.59 1.50 0.84 3.57 4.73 42.87 42.96 5.02 9.15 85.83 97112. 10 32 5.42 2.45 1.87 18.65 5.05 -1.12 30.08 37.61 9.74 22.57 67.69 94260. II 33 5.52 2.58 2.31 10.22 2.33 2.34 13.53 61.16 10.42 14.90 74.68 88333. 12 34 8.97 3.68 3.28 6.04 2.45 1.67 32.01 41.89 15.94 10.16 73.90 7571. 13 35 3.89 1.58 1.41 4.06 2.27 2.77 9.55 74.47 6.87 9.10 84.02 141507. 14 51 25.00 10.36 8.46 10.00 5.21 1.65 22.76 16.57 43.82 16.86 39.33 2624. 15 52 27.94 10.09 3.74 18.92 16.94 4.94 16.67 0.76 41.77 40.80 17.43 1114. 16 53 35.75 18.59 5.23 22.75 8.04 2.29 7.34 0.00 59.58 33.08 7.34 431. 17 61 3.15 1.35 0.83 4.03 5.30 5.89 72.28 7.16 5.33 15.22 79.45 10297. 18 62 16.66 8.64 2.72 19.24 0.73 4.28 47.72 0.00 28.03 24.25 47.72 1235. 19 63 11.84 7.00 4.49 24.97 17.51 0.00 33.01 1.18 23.33 42.48 34.19 2456. 20 64 18.56 12.92 8.91 21.09 21.82 7.19 9.51 0.00 40.39 50.09 9.51 1134. 21 71 17.43 4.90 5.43 24.58 0.00 32.99 14.67 0.00 27.76 57.57 14.67 1362. 22 72 16.54 3.91 7.07 1.63 13.35 57.49 0.00 0.00 27.52 72.48 0.00 618. 23 73 10.15 2.39 1.65 3.92 5.01 0.37 44.06 32.45 14.19 9.30 76.51 8923. 24 74 40.35 22.53 7.45 20.83 7.44 0.00 1.41 0.00 70.33 28.27 1 41 370. 25 S1 7 38 5.52 3.54 3.68 1.76 6.30 71.83 0.00 16.44 11.74 71.83 1023. 26 82 31 07 12.98 8.70 13 27 0.00 4.61 29.37 0.00 52.7S 17.88 29.37 507 27 TOTAL 5.35 2 29 2.00 7.94 3.73 4.35 25.90 48.43 9.64 16.02 74.34 527742. …-- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - __ - - - - - - - - - - - - __ - - - - - - - - - - - - -- - - - - - _ _ _ _ _ . _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ __________-__ -145- DATE 04/13/79 TIME 6:38PM Table 18B. INDONESIA * SURVEY OF SML+MED+LGE.ESTABLISHMENTS. 1974 NUMBER OF ESTABLISHMENTS AS PERCENT OF TOTAL 8Y SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT PROVNC S- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 & UP ALL I 11 1.66 1.08 0.88 0.51 0.33 0.70 OAS 0.40 1.53 0 49 0.38 1.37 2 12 4.40 5.04 4.11 3.78 4.45 4.68 5.03 2.43 4.47 3.94 4.53 4.A0 3 13 2.83 1.61 1.14 0.76 0.54 0.47 0.76 0.40 2.55 0.71 0.69 2.28 4 14 1.47 1.28 1.47 0.59 0.87 0.94 1.04 0.00 1.45 0.66 0.85 1 34 5 15 0.97 0.66 0.46 0.42 0.54 0.23 0.47 1.21 0.89 0.43 0.61 0 83 6 16 4.89 1.71 1.66 0.84 1.09 0.70 2.47 1.62 4.23 0.87 2.31 3.77 7 17 0.27 0.20 0.20 0.08 0.00 0.00 0.00 0.00 0.25 0.07 0 00 0.22 8 Is 1.03 0.86 1.34 0.82 1.52 1.17 1.14 0.40 1.03 0.95 1.00 1.02 9 31 3.57 7.00 10.77 10.47 12.05 14.05 17.93 11.74 4.55 10.96 16.76 5.63 10 32 22.94 16.95 18.63 23.64 21.82 21.31 21.44 12.55 21.81 23.20 19.75 21.93 11 33 17.96 25.80 27.24 25.04 22.58 18.97 t5.75 24.70 19.69 24.24 17.45 20.18 12 34 2.28 3.88 3.07 2.39 1.63 2.11 1.80 2.02 2.55 2.25 1.84 2.50 13 35 20.76 21.92 18.43 22.99 25.73 29.04 24.95 38.06 20.76 23.83 27.44 21 30 14 SI 1.37 1.83 2.22 0.91 0.87 0.94 1.14 0.81 1.50 0.90 1.08 1.41 15 52 1.05 1.23 0.52 1.06 1.09 0.70 0.57 0.40 1.04 1.04 0.54 1.03 16 53 0.49 0.84 0.65 0.19 0.22 0.23 0.19 0.00 0.55 0.20 0.15 0.49 17 61 1.25 0.47 0.49 0.53 0.98 0.70 1.99 0.81 1.09 0.61 1.77 i 05 18 62 0.40 0.44 0.26 0.38 0.22 0.23 0.38 0.00 0.40 0.35 0.31 0 39 19 63 1.1S 0.60 0.85 1.16 0.87 0.00 0.66 1.21 1.06 1.04 0.77 1.05 20 64 0.28 0.49 0.52 0.34 0.65 0.23 0.09 0.00 0.33 0.38 0.08 0.33 21 71 1.02 0.97 0.78 0.2S 0.00 0.70 0.28 0.00 1.00 0.25 0.23 0.89 22 72 0.71 0.32 0.23 0.15 0.11 0.23 0.00 0.00 0.62 0.15 0.00 0.55 23 73 5.99 3.21 2.81 1.88 1.19 0.94 0.95 1.21 5.38 1.71 1.00 4 83 24 74 0.82 0.86 0.62 O.S3 0.54 0.00 0.09 0.00 0.81 0.49 0.08 0 75 25 81 0.19 0.42 0.29 0.08 0.11 0.47 0.28 0.00 0.23 0.12 0 23 0.21 26 82 0.25 0.34 0.36 0.21 0.00. 0.23 0.19 0.00 0.27 0.18 0.15 0.26 27 TOTAL 34363. 5953. 3065. 4737. 921. 427. 1054. 247. 43381. 6085. 1301. 50767. ______- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -__________________ ______ ____ -146- OATE 04/13/79 TIME 6 36Pm Table 19B. INDONEStA SURVEY OF SML+MEO+LGE ESTABLISH4MENTS, 1974 NUMBER OF PERSONS ENGAGED AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS: BY NUMBER OF PERSONS ENGAGED PER ESTABLISHMENT _________________________________--_________________________________--________-________________---_____--_____--_____ PROVNC Y- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 500 & UP 5- 19 20- 99 100 i UP ALL I II 1.69 1.05 0.88 0.56 0.30 0.71 0.39 0.47 1.41 0.52 0.44 0.77 2 12 4.53 5.01 4.13 3.78 4.94 4.98 5.82 1.86 4.57 4.25 3.56 4.04 3 13 2.63 1.61 1.18 0.80 0.57 0.47 0.70 0.54 2.19 0.69 0.61- 1.14 4 14 1.48 1.28 1.47 0.65 0.86 1.01 0.85 0.00 1.44 0.76 0.36 0.80 5 Is 0.94 0.65 0.45 0.40 0.57 0.25 0.66 0.62 0.81 0.41 0.64 0.64 6 16 4.69 1.67 1.65 d.0o 1.11 0.75 2.75 1.51 3.59 0.87 2.04 ' 2.29 7 17 0.28 0.20 0.19 0.08 0.00 0.00 0.00 0.00 0.25 0.05 0.00 0.09 8 la 1.05 0.86 1.35 0.86 1.52 1.16 1.13 0.19 1.06 1.07 0.59 0.85 9 31 3.80 7.00 10.86 11.19 12.44 14.55 18.49 9.25 5.57 12.02 13.21 10 48 10 32 22.63 16.93 18.64 23.94 22.33 21.31 20.70 10.23 20.82 23.14 14.72 18.53 Ii 33 i8.43 26.05 27.17 24.51 2t.79 18.65 15.53 27.19 21.38 22.93 22.18 22.09 t2 34 2.35 3.84 3.08 2.32 1.63 2.09 t.77 2.15 2.77 2.12 1.99 2.27 13 35 20 81 21.87 18.34 22.52 25.14 28.12 23.80 43.48 20.65 24.04 35.03 27.99 14 51 1.44 1.83 2.22 0.88 0.85 1.01 1.22 O.S9 1.64 0.89 0.86 1.12 15 52 1.02 1.24 0.52 1.02 1.11 0.75 0.49 0.22 0.99 1.00 0.33 0.69 16 53 0.54 0.83 0.65 0.19 0.24 0.26 0.19 0.00 0.62 0.21 0.08 0.28 17 6t t.17 0.46 0.50 0.56 0.93 0.74 2.75 0.42 0.92 0.68 1.42 1.09 18 62 0.42 0.43 0.25 0.44 0.21 0.27 0.39 0.00 0.40 0.36 0.17 0.28 19 63 1.12 0.60 0.85 1.25 0.87 0.00 0.79 0.51 0.97 0.96 0.63 0.81 20 64 0.30 0.50 0.53 0.34 0.68 0.23 0.06 0.00 0.38 0.40 0.03 0.22 21 71 1.02 0.96 0.79 0.32 0.00 0.75 0.18 0.00 0.97 0.31 0.08 0.42 22 72 0.67 0.32 0.22 0.13 0.10 0.25 0.00 0.00 0.53 0.14 0.00 0.20 23 73 5.72 3.21 2.80 1.69 1.18 0.90 0.74 0.77 4.74 1.44 0.76 2.19 24 74 0.84 0.83 0.62 0.50 0.51 0.00 0.06 0.00 0.80 0.42 0.03 0.36 25 SI 0.20 0.41 0.29 0.08 0.11 0.56 0.33 0.00 0.26 0.17 0.14 0.19 26 82 0.28 0.35 0.36 0.19 0.00 0.24 0.24 0.00 0.30 O.15 0.10 0.18 27 TOTAL 209837. 68440. 51456. 134365. 53052. 35557. 201184. 267435. 329733. 222974. 468619. 1021326. - - - - - - - - - - - - - - - - - - - - - - _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -_ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - -147- DATE 04/t3/79 TIME 6:38PM Table 20B. 1IOONESIA : SURVEY OF SML+MEO+LGE ESTABLISHMENTS. 1974 GROSS OUTPUT (ML.RUPIAHS) AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS : BY NUMBER OF PERSONS ENGAGED PER ESTA4LISHMENT PROVNC 5- 9 10- 14 15- 19 20- 49 50- 74 75- 99 100-499 SOO & UP 5- 19 20- 99 100 B UP ALL I tt 3.32 0.83 0.88 0.68 0.27 0.99 0.30 0.17 2.13 0.62 0.22 0.49 2 12 8.79 8.46 7.49 4.57 7.46 21.88 8.55 0.96 8.41 9.55 4.00 5.49 3 13 2.63 1.83 1.31 1.17 0.84 2.27 t.37 1.23 2.13 1.34 1.29 1.38 4 14 1.76 1.55 3.31 1.39 1.95 1.00 1.53 0.00 2.06 1.46 0.61 0.92 5 I5 0.76 0.50 1.06 0.27 0.24 0.29 2.01 1.51 0.76 0.27 1.71 1.34 a I6 6.91 2.35 2.39 0.95 2.44 0.74 6.38 1.88 4.73 1.34 3.68 3.35 7 17 0.32 0.33 0.45 0.03 0.00 0.00 0.00 0.00 0.35 0.01 0.00 0.04 8 18 1.37 1.19 3.34 3.06 6.25 1.98 1.46 0.00 1.78 3.74 0.59 1.30 9 31 6.27 10.53 12.34 13.33 12.56 19.73 27.65 21.64 8,73 14.63 24 05 20.72 1O 32 18.37 18.12 16.95 30.90 ¶s.99 10.70 16.21 13.00 17.98 21.72 14.29 16.05 11 33 16.9t 20.64 19.27 17.71 27.14 7.41 10.60 22.22 18.39 18.01 17.57 17 73 12 34 2.29 2.52 2.75 1.20 0.90 0.52 2.22 1.36 2.4S 0.95 1.71 1 64 13 35 19.03 20.16 19.43 16.69 13.97 20.14 11.00 34.61 19.41 16.72 25.1S 22.99 14 51 2 01 2.49 3.16 0.77 1.60 1.30 0.83 0.20 2.39 1.14 0.45 0.78 15 52 0.72 0.95 0.46 0.69 1.49 0.91 0.17 0.00 0.72 0.98 0.07 0.31 16 53 0.54 0.65 0.15 0.22 0.08 0.02 0.01 0.00 0.48 0.13 0.01 0.08 17 61 1.45 1.18 0.81 1.70 2.05 2.70 4.85 0.23 1.24 2.04 2.08 1.98 is 62 0.55 0.79 0.19 0.54 0.02 0.48 0.45 0.00 0.53 0.38 0.18 0.25 19 63 0.84 0.71 1.11 1.78 1.42 0.00 0.55 0.10 0.87 1.25 0.28 0.52 20 64 0.60 0.93 0.75 0.35 1.07 0.32 0.10 0.00 0.72 0.56 0.04 0.20 21 71 0.66 0.57 0.46 0.66 0.00 3.69 0.08 0.00 0.59 1.19 0.03 0.31 22 72 0.23 0.18 0.19 0.01 0.43 1.79 0.00 0.00 0.21 0.56 0.00 0.13 23 73 2.71 1.61 1.20 1.09 t.76 0.14 2.83 0.88 2.09 1.06 1 66 1.59 24 74 0.27 0.35 0.12 0.09 0.04 0.00 0.00 0.00 0.25 0.OS 0.00 0.04 25 81 0.22 0.29 0.21 0.11 0.05 0.92 0.76 0.00 0.23 0.28 0.31 0.29 26 82 0.47 0.30 0.21 0.08 0.00 0.06 0.08 0.00 0.37 0.05 0.03 0.07 27 TOTAL 77650. 37484. 34305. 127141. 79363. 64750. 413506. 619026. 149439. 271255. 1032531 1453225 -148- OArE 04/13/79 TIME 6:38PM Table 21B. INOONESIA SURVEY OF SML.MEO+LGE EST4ALISMMENTS. 1974 VALUE AOOED (ML.RUPIAHS) AS PERCENT OF TOTAL BY SIZE CLASS SIZE CLASS : BY NUMSER OF PERSONS ENGAGED PER ESTA8LISHMENT PROVNC 5- 9 0- t4 15- 19 20- *9 50- 74 7- 99 100-499 5005 UP 5- 19 20- 99 100 & UP ALL I 11 2.16 0.68 III 0.88 0 42 0.80 0.27 0.22 1.64 0.75 0.24 0.46 2 12 6.35 6.28 6.46 S.00 8.17 42.5t 8.07 0.66 6.46 15.93 3.24 5.59 3 13 2.20 1.95 1.37 1.16 0.30 0.'7 1.04 1.71 t.97 0.77 i.47 1.41 4 14 1.91 1.75 3.77 1.45 1.81 0.97 1.03 0.00 2.26 1.40 0.36 0.71 5 15 0.83 0.72 1.14 0.33 0.34 0.28 1.00 0.36 0.87 0.32 0.58 0.57 6 I6 7.60 3.01 2.63 1.02 3.56 0.89 4.87 1.64 S.48 1.58 2.77 2.84 7 17 0.48 0.24 0.48 0.06 0.00 0.00 0.00 0.00 0.42 0.03 0.00 0.05 8 18 0.99 0.82 2.63 2.75 4.87 4.40 1.32 0.00 1.29 3.69 0.46 1.06 9 31 6.64 12.77 13.83 1.96 17.S1 20.00 30.45 16.32 9.59 1O.51 21.25 18.40 10 32 18.08 19.1- 16.66 41.96 24.16 -4.60 20.74 13.87 18.04 25.16 16.26 17.86 11 33 17.28 ¶8.88 19.36 21.58 10.47 8.99 8.74 21.14 t1.09 1s.56 16.82 16.74 12 34 2.41 2.31 2.39 '.09 0.94 0.55 1.77 1.24 2.37 0.91 1 43 1.43 13 35 19 49 18.51 18.85 13.72 16.35 17.03 9.89 41.23 19.12 15.23 30.31 26.81 i4 S1i 2.32 2.25 2.10 0.63 0.69 0.19 0.44 0.17 2.26 0.52 0.26 0.50 ts 52 1.10 0.93 0.39 0.50 0.96 0.24 0.14 0.00 0.91 0.54 0.05 0 21 16 53 0.55 0.66 0.21 0.23 0.18 0.04 0.02 0.00 0.50 0.17 0.01 0.08 17 61 1.15 1.15 0.81 0.99 2.77 2.64 5.44 0.29 1.08 1.8s 2.09 1.95 la 62 0.73 0.8a 0.32 0.57 0.05 0.23 0.43 0.00 0.68 0.35 0 .1 0 23 19 83 1.03 1.42 1.04 1.46 2.18 0.00 0.59 O.Ot 1.13 1.23 0.21 0 47 20 6- 0.75 1.21 0.96 O.S7 1726 0.35 0.08 0.00 0.90 0.67 0.03 0.21 21 71 0 84 0.55 0.70 0.80 0.00 1.96 0.15 0.00 0.74 0.93 0.05 0.26 22 72 0.36 0.20 0.41 0.02 0.42 1.55 0.00 0.00 0.33 0.53 0.00 0.12 23 73 3.21 1.77 1.40 0.83 2.27 0.15 2.88 1.13 2.49 0.98 1.74 1 69 24 74 0.53 0.69 0.26 0.18 0.14 0.00 0.00 0.00 0.51 0.12 0.00 0.07 25 81 0.27 0.47 0.34 0.09 0.09 0.28 0.54 0.00 0.33 0.14 0.19 0.19 26 82 0.56 0.54 0.42 0.16 0.00 0.t0 0.11 0.00 0.53 0.11 0.04 0.10 27 TOTAL 28235. .080. 10s60. 41892. 19686. 22983. 136711. 255595. 50875. 84561. 392306. 527742.