The amount of Indonesian population
still shows rapid increase every year. In 1971 the population amounted
to 118 million people. Based on the two census taken in 1980 and 1990,
the amount has increased respectively to 147 million and 164 million people.
The population survey inter-census in 1994 recorded the figure reaching
195 million people.
This fact has been supported by the
population growth rate which has been declining for years. In the period
of 1971 to 1980 for instance, the growth rate per year was 2.32% and has
been declining 1.77% per year during the period of 1985-1990 (Atatas. 1993).
The Democracy Bureau of the Faculty of Economics of Indonesian University
has projected that the growth rate of Indonesian population will continue
to decline and reach 1.23% in the year 2000-2005 and even predicted to
be .56% in the year 2020-2025 (Ananta, 1995).
Despite the continued decline of the
population growth, with a significantly large number of population, the
growth remains significantly large also. With the prediction of 1.23% growth
in the future, beginning in the 21st century, the Indonesian
population will increase above 2 million per year.
One of the prime causes of population
decline in Indonesia is the decrease of the fertility rate. International
migration, which is considered to be one cause, has very little influence
to the enormous number of population thirty years ago (1967-1970). The
Total Fertility Rate (TFR) in Indonesia was 5.6 which means, in that period
of years, every fertile women can give birth to 5 to 6 children. Population
census in 1990 recorded that TFR for the period of 1986-1989 was 3.3 and
the figure wend down significantly to 2.9 in 1994 based on the Health and
Demography Survey (SDKI).
Several of the factors contributing to the decrease of the fertility rate include better birth control through family planning, the lateness of first marriages which is supported by improvement of education quality and economic conditions
including people's health. The average
age for an Indonesian woman to get married has increased from 17.2 for
age group of 45-49 and 19.2 for women aged 25-29. Generally, first marriages
increased from 17.7 in 1991 to 18.1 in 1994 (SDKI), 1994). Meanwhile, the
number of population receiving modern health services has shown an increase.
This increase implies a drop in the maternal death rate as well as a drop
in infant and child mortality rates. This is still considered to be high
compared to other countries. Thus, the life expectancy in Indonesia has
shown an increase. In 1990-1995 life expectancy for an Indonesian male
has grown to 61.29 years and 65.36 for women.
Indonesian population density in 1990
was 93 people/km2. In the year 2020, the figure is projected
to reach 132 people/ km2 (Ananta, 1995)
Indonesia, as an archipelago country,
has an extremely unbalanced distribution of population density if we refer
to the area of inhabitants. Until 1990, Java island remained as an island
with the highest density of population, which was 813 people / km2.
Other important islands have population densities as follows: Sumatera
- 77 people / km2; Kalimantan 17 people / km2; Bali+NTT+NTB+
East Timor 115 people / km2; Sulawesi 66 people / km2;
Maluki + Irian Jaya 7 people / km2. It is generally concluded
that the areas with dense populations are Java and the Western part of
Indonesia. The islands in Eastern Indonesia, particularly Irian Jaya, have
very small population density. For a couple of years in the future, this
pattern of population density distribution will not change significantly.
The economic crisis which happened at the end of the 20th century
has contributed more problems to the governments efforts of distributing
people from the densely populated areas to the less densely populated ones.
6.3 Spatial Distribution of Population
As mentioned earlier, the Indonesian
population distribution is extremely geographically imbalanced. Maluku
and Irian for instance, with an area of 26% of the total land in Indonesia
is inhabited by only 2% of the population whereas Java, with an area of
6.9% of the Indonesian land is inhabited by 60% of the population. In this
very populated area land, for housing and for agriculture, has become scarce.
In areas that are less densely populated, unproductive land can be found
widely.
Efforts have been made to distribute
the population more evenly through a transmigration program as well as
encouraging the people to migrate spontaneously. Economic growth in particular
areas in the past several decades has attracted more people to migrate
to those areas. Riau and East Kalimantan province, with their rapid economic
growth due to the natural oil industry has become a major destination of
spontaneous migration.
In terms of emigration in particular,
provinces with dense population in Java indeed has been a major destination
of migrants from other parts of Indonesia for a long time. Of the 27 provinces
in Indonesia, population census data in 1990 showed the highest migration
rate from the province of Central Java, Special District of Jakarta, and
East Java respectively, with figures of 22.08% of 18.92% and 12.33% of
total immigration out from an area. This can balance the migration into
these provinces which also remains high.
Migration rate to provinces in Java is mainly caused by the centralization of non- agricultural sector development. DKI Jakarta for instance, has been the center of investment and economic growth. Geographically, it can no longer accommodate the existing development. Hence, its various economic activities spread over to its suburban areas, some of which are part of West Java, which is the highest migration destination in Indonesia and made the migration rate netto risen highest currently. Apart from distribution of provincial area, Indonesian population area is also interesting to view based on the relationship of rural to urban. From year to year, an increasing trend can be observed on the additional proportion of people living in cities. In 1980, the population proportion who lived in new urban areas was 22.27%. Ten years later (1990) this rate had changed to 30.90% and continued to increase to 35.91% i 1995. Complete data on urban population percentage per province in Indonesia can be seen in Table 28 below.
Table 28
Population Percentage of Urban Areas Per Province in Indonesia in
1980, 1990, 1995
| Province | 1980 | 1990 | 1995 |
| West Sumatera | 1271 | 2022 | 2506 |
| D.I. Aceh | 894 | 1581 | 2054 |
| North Sumatera | 2545 | 3548 | 4109 |
| Riau | 2712 | 3167 | 3436 |
| Jambi | 1265 | 2141 | 2716 |
| South Sumatera | 2737 | 2934 | 3031 |
| Bengkulu | 943 | 2037 | 2571 |
| Lampung | 1247 | 1244 | 1571 |
| DKI Jakarta | 9363 | 10000 | 10000 |
| West Java | 2102 | 3451 | 4269 |
| Central Java | 1874 | 2698 | 3190 |
| D.I. Yogyakarta | 2208 | 4442 | 5808 |
| East Java | 1960 | 2743 | 3206 |
| Bali | 1471 | 2643 | 3431 |
| NTB (West Nusa Tenggara) | 1407 | 1712 | 1885 |
| NTT (East Nusa Tenggara) | 751 | 1139 | 1388 |
| East Timor | - | 779 | 959 |
| West Kalimantan | 1677 | 1996 | 2166 |
| Central Kalimantan | 1030 | 1756 | 2247 |
| South Kalimantan | 2135 | 2706 | 2996 |
| East Kalimantan | 3984 | 4878 | 5022 |
| North Sulawesi | 1676 | 2278 | 2628 |
| Central Sulawesi | 895 | 1643 | 2187 |
| South Sulawesi | 1808 | 2453 | 2857 |
| Southeast Sulawesi | 935 | 1702 | 2238 |
| Maluku | 1084 | 1897 | 2457 |
| Irian Jaya | 2022 | 2397 | 2576 |
| Indonesia | 2227 | 3090 | 3591 |
Source: Center of Statistical Bureau,
South Sulawesi
Out of DKI, Supas data (1995) gave figures
that there were two provinces with urban population exceeding 50%. They
were Special District of Jakarta (58.05%) and East Kalimantan (50.22%).
D.I. Yogyakarta has apparently for the last 20 years shown an interesting
increase in the urban population. For quite some time, this city has been
popular as a student city which provides various choices of educational
institutions and is supported by a relatively cheap cost of living. The
tourism sector has also developed rapidly. Whereas in East Kalimantan province,
the rapid economic growth is very much supported by the timber industry,
natural liquid and gas resources as well as the gold mining industry, with
plenty of job opportunities. These factors mentioned are responsible for
attracting more people to these two areas.
The inequality, attitudes and treatment
towards women is seen in the public sphere. Most men do not show their
willingness to take measures perform and operate governmental policies
and national guidelines, strategies and plans for the achievement of equality
in all aspects of society, including the promotion of literacy, education,
training, nutrition, health and participation in key decision making, position
and management of the environment, particularly in the informal sector.
Most men do not take measures toward ensuring women's access to property
rights as well as agricultural inputs and implements.
In the education system, it is a fact
that there is no proper curricula and other educational materials with
a view to promoting the dissemination of knowledge to both men and women.
This could be used as a tool to help develop their nation and evaluation
of women's roles through training institutions in collaboration with non-government
organizations.
Women and Work
Workforce
Emancipation of women is evident in
various areas of life although, since the beginning of the second long-term
development plan (PJP II), equal partnerships between men and women are
a continuing struggle in the effort to increase women's roles in development.
The problem now is whether persons have equal status in the workplace.
While it is clear that many women have entered the areas of the work world
which have generally been male-dominated (for example as airplane pilots
or working in mechanical repair workshops), can it be said that these women
have reached equality with men?
From 1990 to 1996, the total proportion
of women who are employed is still much lower than that of men (almost
half), although there is an increase each year. Table 26 shows that women
in the workforce in 1980 was 17.2 million, while men in the workforce reached
35 million. In 1996 the number of women in the workforce reached 34.8 million
and the number of men 55.3 million.
Table 29
Workforce by Type of Residence and Sex
1980-1996 ( in millions)
|
and Sex |
|
|
|
| Urban
Women Men W + M |
2.9 7.1 10.0 |
6.9 13.6 20.5 |
11.0 19.2 30.2 |
| Rural
Women Men W + M |
14.3 27.9 42.2 |
19.7 33.7 53.4 |
23.8 36.2 60.0 |
| Urban + Rural
Women Men W + M |
17.2 35.0 52.2 |
26.5 47.4 73.9 |
34.8 55.4 90.1 |
Source: 1. Compiled from CBS, (1983, page: 169-177)
2. Compiled from CBS, (1983, page: 259-267)
3. Compiled from National Labor Force
Survey (Sakernas), 1996.
It should be noted that, of the rise
in the total number of women workers from year to year is much higher than
the rate of the rise among men, both in urban and rural areas. However,
the rise in the total number of women workers in urban areas was much faster
than in rural areas. This, of course, must be viewed in the context of
the relatively high rate of growth of the urban population.
Labor Force Participation Rate
One of the indicators showing the size
of active participation of women in economical life is the level of labor
force participation rate (TPAK) of women. In 1980, this was less than half
that for men (68% compared to 32.4% - see Table B6.2), and in 1996 the
level for women was more than half that for men (72% compared to 45%).
As with the total numbers of women in
the labor force, the level of workforce participation for women also increases
much faster year by year than men's both in urban and rural areas. This
shows that at this time of rapid development, there is a definite trend
for women to increase their active participation in economical life.
Table 30
Labor-force Participation Rate by Type of Residence and Sex
(1980-1996)
|
|
|
|
|
| Urban
Women Men W + M |
24.2 58.9 41.4 |
31.6 64.0 47.6 |
37.2 66.8 51.9 |
| Rural
Women Men W + M |
34.9 70.9 52.6 |
42.2 74.4 58.1 |
49.1 75.6 62.3 |
| Urban + Rural
Women Men W + M |
32.4 68.1 50.0 |
38.8 71.1 54.7 |
44.6 72.3 58.3 |
Source: 1. Compiled from CBS, (1983, page: 169-177)
2. Compiled from CBS, (1983, page: 259-267)
3. Compiled from National
Labor Force Survey (Sakernas), 1996.
The competition to enter the job market increased among people of higher education levels. This is evidenced by the existence of an increasing unemployment rate among those with higher education, in both urban and rural areas (Table 28).
Table 31
Unemployment Rate, Type of Residence and Sex
1980-1996
|
|
|
|
|
| Urban
Women Men W + M |
1.3 2.7 2.8 |
7.4 5.5 6.1 |
10.3 7.8 8.3 |
| Rural
Women Men W + M |
2.2 1.1 1.5 |
2.7
1.7 2.1 |
4.0 2.7 3.2 |
| Urban + Rural
Women Men W + M |
2.3 1.4 1.7 |
3.9 2.8 3.2 |
6.0 4.2 4.9 |
Source: 1. Compiled from CBS, (1983, page: 169-177)
2. Compiled from CBS, (1983, page: 259-267)
3. Compiled from National
Labor Force Survey (Sakernas), 1996.
Based on the National Labor-force Survey
(Sakernas) in 1996, the level of educated unemployment in Indonesia had
almost reached 12%. It should be noted that the number of women who are
counted among the educated unemployed is much higher than the number of
men (almost 3 times as many). The rise in the proportion of educated women
who are unemployed has risen much faster than men between 1990 to 1996
(see Table 29).
Table 32
Unemployment Rate by Level of Education and Sex
1980-1996
|
|
|
|
|
| <Middle School
Women Men W + M |
2.0 11 1.4 |
2.3 1.6 1.8 |
2.2 1.8 2.0 |
| Middle School
Women Men W + M |
4.5 2.5 2.8 |
7.7 4.2 5.1 |
10.3 5.3 6.8 |
| High School
Women Men W + M |
5.7 3.6 4.1 |
13.5 7.6 5.1 |
19.1 10.8 13.5 |
| > High School
Women Men W + M |
3.8 1.3 1.8 |
10.2 5.2 6.7 |
19.1 7.9 11.8 |
Source: 1. Compiled from CBS, (1983, page: 196-204)
2. Compiled from CBS, (1983, page: 286-294)
3. Compiled from (Sakernas),
1996.
Work Status and Type
In 1980, the largest proportion of women
worked as "self-employed" was around 48% (Table B6.5). In 1996 there was
a slight change in women's status as workers, but still showing a trend
towards more women being self-employed. Although the percentage of women
who are "family workers" or unpaid workers, is still fairly high, it seems
that there has been significant improvement in this area because more and
more women are economically active and receive their own wages. Meanwhile,
the percentage of workers who are employers of full-time workers, or who
are office workers, laborers or "family workers" consistently declines.
Table 30 shows the increasing percentage
of women who work as professionals and as managers. This indicates significant
status compared with service positions or laborers. In 1980, about 3.3%
of employed women worked as professionals. This is higher than the percentage
of men (2.8%). Meanwhile, in 1996, this number has grown to 4%, also higher
than the percentage of men (3%).
Table 33
Distribution of Employed Population by Job Status and Sex
1980-1996
|
|
|
|
|
| <Middle School
Women Men W + M |
2.0 11 1.4 |
2.3 1.6 1.8 |
2.2 1.8 2.0 |
| Middle School
Women Men W + M |
4.5 2.5 2.8 |
7.7 4.2 5.1 |
10.3 5.3 6.8 |
| High School
Women Men W + M |
5.7 3.6 4.1 |
13.5 7.6 5.1 |
19.1 10.8 13.5 |
| > High School
Women Men W + M |
3.8 1.3 1.8 |
10.2 5.2 6.7 |
19.1 7.9 11.8 |
Source: 1. Compiled from CBS, (1983, page: 196-204)
2. Compiled from CBS, (1983, page: 286-294)
3. Compiled from (Sakernas),
1996.
Table 34
Distribution of Employment Population by Type of Work and Sex
1980-1996
|
|
|
|
|
| Professional
Women Men W + M |
3.3 2.8 3.0 |
4.5 3.3 3.7 |
4.3 3.1 3.6 |
| Managerial
Women Men W + M |
0.1 0.1 0.1 |
0.1 0.3 0.2 |
0.1 0.3 0.2 |
| Administration, Sales and
Service
Women Men W + M |
27.1 17.7 20.8 |
29.4 20.3 23.5 |
33.6 23.5 27.3 |
| Farming, Labor, etc.
Women Men W + M |
69.5 79.4 76.1 |
66.0 76.1 72.6 |
62.0 7301 68.9 |
Source: 1. Compiled from CBS, (1983, page: 205-213)
2. Compiled from CBS, (1983, page: 295-303)
3. Compiled from (Sakernas),
1996.
Labor Force by Sectors
The rise of women's roles in the workplace
is also evident by the rising proportion of women in the formal sector
although there are still wide gaps between men and women, especially in
the rural areas. The results of the 1996 National Labor-force Survey (Sakernas)
shows that about 23% of women work in the formal sector, an increase 20%
in 1980. In the urban areas, women's participation in the formal sector
has fallen while men's has grown. This is related to the domination of
the agricultural sector in the rural areas (Table 32).
Table 35
Percentage Distribution of Employed Population in Informal Sectors by Type of
Residence, Sex, Formal/Informal Sector - 1980-1996
|
|
|
|
|
| Urban
Men Formal Informal Women Formal Informal |
37.3 62.7 37.2 62.8 |
35.7 64.3 41.6 58.4 |
58.9 41.1 49.4 50.6 |
| Rural
Men Formal Informal Women Formal Informal |
18.7 81.3 15.9 84.1 |
18.1 81.9 15.3 84.7 |
21.5 78.5 11.2 88.8 |
| Urban + Rural
Men Formal Informal Women Formal Informal |
22.4 77.6 19.5 80.5 |
22.8 77.2 21.9 78.1 |
34.1 65.9 22.7 77.3 |
Source: 1. Compiled from CBS, (1983, page:214-221)
2. Compiled from CBS, (1983, page:304-311)
3. Compiled from (Sakernas), 1996.
Table 36
Percentage Distribution of Employed Population by Field of Work and Sex
1980-1996
|
|
|
|
|
| Primary
Women Men W + M |
54.2 57.3 56.3 |
49.6 50.8 50.4 |
45.0 43.4 44.0 |
| Secondary
Women Men W + M |
13.1 13.3 13.3 |
15.4 17.7 16.8 |
15.9 19.5 18.1 |
| Tertiary
Women Men W + M |
32.7 29.4 30.4 |
35.0 31.5 32.8 |
39.1 37.1 37.9 |
Source: 1. Compiled from CBS, (1983, page: 214-222))
2. Compiled from CBS, (1983, page: 304-312)
3. Compiled from (Sakernas),
1996.
As already known, since 1971 the sector
structure of the workforce has shifted significantly from predominated
primary sectors to the secondary and tertiary sectors. As shown in Table
B6.8, the percentage of the population who work in the primary sector has
fallen since 1980, with in the secondary and tertiary sectors, there have
been consistent increases, for both men and women. In the secondary sector,
the percentage of the male population who work is higher than their female
counterpart (20% vs 16%). This show that in this sector, which includes
utilities (electric, gas and water), construction and mining, there is
still more domination by men. Meanwhile, the primary (farming) and tertiary
(services, etc.) sectors absorb more women than men because these sectors
do not require higher education.
Work Hours
Keeping in mind that the primary role
for women is still seen as housework, women do not have as much time available
for work as men. Table B6.9 shows that women's working hours are shorter
than men's. The percentage of women who work more than 35 hours a week
is smaller than for men.
On average, women's working hours have
not increased in the past 10 years. This is shown in the table where the
average number of working hours for women is seen to be around 41 hours
per week in 1986. The results of the 1996 Sakernas shows that, on average,
rural women's work hours are shorter than urban women's (37 vs 45 per week).
In urban areas, on average, women's work hours are almost the same as mens
(45 hours vs 46 hours per week).
Table 37
Percentage of the Population Who Are Employed by Working Hours and Sex
1986, 1990, 1996
1980-1996
|
|
|
|
|
| 0*
Women Men W + M |
4.1 2.1 2.8 |
3.8 1.6 2.5 |
3.3 2.2 2.6 |
| 1-24
Women Men W + M |
31.5 15.7 20.9 |
29.4 12.7 18.6 |
32.7 13.8 20.8 |
| 25-34
Women Men W + M |
15.7 12.1 13.3 |
18.4 13.8 15.4 |
18.1 13.8 15.4 |
| 35-44
Women Men W+M |
24.4 29.8 28.0 |
23.3 28.8 26.9 |
21.4 27.4 25.1 |
| 45
Women Men W+M |
24.3 40.3 35.0 |
25.1 42.9 36.6 |
24.5 43.1 36.1 |
Source: Compiled from Sakernas ,1986, 1990, 1996
Note: * Temporarily not
working
This economic crisis increases the price
of foodstuff and medicine, and also increases unemployment. All of this
impacts food availability which in turn impacts family health and nutrution.
This particularly effects babies, children, pregnant and lactating mothers,
which is the source of future human resources. It is time to find an alternative
to overcome this situation and empower the community to provide food, improved
health facilities, health care insurance and human development.
The concept of human development has
assumed center stage in a number of world summits and global references.
The Rio Declaration (1992) proclaimed that all human beings are the center
of concern for sustainable development, they are entitled to a healthy
and productive life in harmony with nature. It emphasized that the developmental
and future generations must be met equitably. The Rio declaration called
for establishing a new and equitable global partnership through cooperation,
and proposed to work towards global agreements on sustainable development.
Main Nutrition Problems in Indonesia
Figure 8 shows the trend of both total
PEM and MS-PEM in these three years. Reduction of total PEM from 1989 to
1995 could be quantified with 4.4% per year. Similar analysis showed that
reduction in the prevalence of MS-PEM in Repelita VI (at lease 5%) needs
great attention with specific interventions.
Recently , mapping surveys have been
conducted in 6 provinces (West Java and Central Java, Di Yogyakarta, East
Nusa Tenggara, Maluku and Irian Jaya). The results showed that two provinces,
Maluku and East Nusa Tenggara, were severe IDD areas with TGR (total goiter
rate) greater than 33% and one province, Irian Jaya was a milk IDD area.
The other provinces had prevalence less than 1%. In fact, two provinces
(Central Java and West Java) were non-IDD areas (less than 5%). This means
that significant reductions have been seen in some provinces but some provinces
showed an increase (Arhya kdd. 1996; Djumadias dkk 1996a and 1996b; Pinantih
dkk. 1996; Suharjo dkk. 1996; and Thaha dkk, 1996).
Table 22
Prevalence of IDD in Indonesia
| No. | Province | (%)
1980-92 |
(%)
1990 |
(%)
1996 |
| 1 | Aceh | 35.2 | 37.7 | |
| 2 | North Sumatra | 17.3 | 20.7 | |
| 3 | West Sumatra | 74.7 | 33.7 | |
| 4 | Riau | 27.8 | 15.6 | |
| 5 | Jambi | 23.1 | 46.9 | |
| 6 | South Sumatra | 31.7 | 28.7 | |
| 7 | Bengkulu | 37.7 | 23.7 | |
| 8 | Lampung | 26.4 | 15.2 | |
| 9 | Jakarta | |||
| 10 | West Java | 31.8 | 13.2 | 3.1 |
| 11 | Central Java | 36.8 | 22.4 | 4.5 |
| 12 | Yogyakarta | 47.3 | 5.9 | 6.1 |
| 13 | East Java | 39.6 | 27.5 | |
| 14 | Bali | 49.6 | 62.2 | |
| 15 | West Nusu Tenggara | 59.2 | 59.3 |
Table 23
Prevalence of Nutritional Anemia in Indonesia 1995
| Target Group | Male | Female | Average |
| Children under five years | 35.7 | 45.2 | 40.5 |
| School age childred | 46.4 | 48.0 | 47.2 |
| 10-14 years | 45.8 | 57.1 | 51.5 |
| 15-44 years | 58.3 | 39.5 | 48.9 |
| 45-64 years | 62.5 | 40.5 | 51.5 |
| >65 years | 70.0 | 45.8 | 57.9 |
| Pregnant Women | 50.9 | ||
| Lactating Women | 45.1 |
Source: BPS 1995
Table 24
Prevalence of Zeropthalmia in 15 Provinces
National Survey in 1978 and 1992
| Province | 1978 | 1992 | ||||||
| N | X1B | X2/X3 | XS | N | X1B | X2/X3 | XS | |
| Aceh | 620 | 2.4 | 0.484 | 0.164 | 566 | 0 | 0 | 0 |
| North Sumatra | 435 | 0.4 | 0 | 0.214 | 604 | 0.17 | 0 | 0 |
| West Sumatra | 611 | 1.3 | 0.164 | 0.164 | 565 | 0 | 0 | 0 |
| South Sumatra | 606 | 0.3 | 0.164 | 0.495 | 722 | 0.14 | 0 | 0 |
| Bengkulu | 460 | 0.7 | 0.217 | 0.217 | 529 | 0 | 0 | 0 |
| West Java | 4147 | 1.5 | 0.217 | 0.217 | 3712 | 0.11 | 0 | 0 |
| Central Java | 4577 | 1.0 | 0.153 | 0.153 | 3674 | 0.25 | 0 | 0 |
| Bali | 1326 | 0.8 | 0.226 | 0.226 | 1641 | 0.07 | 0 | 0 |
| West Nusa Tenggara | 2353 | 1.6 | 0.212 | 0.212 | 2368 | 0.13 | 0 | 0 |
| West Kalimantan | 460 | 0.4 | 0 | 0.217 | 518 | 0.19 | 0 | 0 |
| Central Kalimantan | 450 | 0.6 | 0 | 0.217 | 512 | 0 | 0 | 0 |
| South Kalimantan | 680 | 1.5 | 0 | 0.147 | 619 | 0 | 0 | 0 |
| South Sulawesi | 1240 | 0.4 | 0.081 | 0.087 | 1158 | 2.9 | 0 | 0 |
| South East Sulawesi | 809 | 0.6 | 0 | 0.037 | 837 | 0.6 | 0 | 0 |
| Maluku | 1031 | 2.0 | 0 | 0.194 | 797 | 0.8 | 0 | 0 |
| Total | 19833 | 1.3 | 0.112 | 0.163 | 19720 | 0.33 | 0 | 0 |
Source: Kodyat, 1997
Table 25
Energy, Protein, and Fat Availability (per capita/per day)
| Nutrient | 1974 | 1979 | 1984 | 1990 | 1992 |
1. Energy (kcal)
|
20248
4508 26.1 10.4 |
2.443
47.1 34.4 12.7 |
20516
54.1 45.4 16.2 |
2.701
60.3 56.2 18.7 |
2.968
67.9 67.3 20.5 |
Source: BPS 1990: CBS 1994
Table 26
Nutrient Consumption According to Income Level
|
|
||||
|
(Rp) |
(Kcal) |
(G/d) |
(G/d) (%) |
|
| <8.000
8.000 10.000 15.000 20.000 30.000 40.000 60.000 80.000 100.000 150.000 |
1.392
1.453 1.585 1.742 1.935 2.066 2.134 2.192 2.251 2.351 2.320 |
28.4
31.8 35.1 40.4 47.6 55.8 63.6 72.2 80.3 90.4 82.1 |
19.9
21.5 25.9 33.5 42.1 51.4 59.4 68.8 77.8 81.9 91.2 |
12.9
13.3 14.7 17.3 19.5 22.2 25.0 28.2 31.0 31.3 35.4 |
Source: CBS 1994
However, the availability of macro nutrient differs significantly in income groups. As seen in table 23, energy consumption was the lowest income (1.392 kcal/day). In other words, families with incomes below Rp. 8,000, consume only 65% of energy recommended. Energy consumption relates directly with income. It was also seen that people with an income over Rp. 150,000 consumed more than the recommended energy (108%). Furthermore, disparity of protein and fat consumption income groups was much bigger. Compared to the recommendation, percentages of proein and energy from fat in groups below Rp. 8,000 /month were 196% and 35% respectively for protein and energy from fat (CBS, 1994).
Table 27
Prevalence of PEM in Children Under Five Based on Province
SUSENAS 1995
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|
Good | Over | |||||
| Severe | Moderate | Subtotal | MS PEM | Mild | Subtotal | |||
| DI Aceh | 10.7 | 13.2 | 23.9 | 23.9 | 22.7 | 4606 | 50.3 | 3.2 |
| North Sumerata | 5.9 | 10.7 | 16.6 | 16.6 | 19.6 | 36.2 | 60.9 | 2.9 |
| West Sumatera | 4.2 | 10.6 | 14.8 | 14.8 | 21.3 | 36.1 | 60.3 | 3.6 |
| Riau | 11.6 | 12.3 | 23.9 | 23.9 | 22.0 | 45.9 | 49.0 | 5.1 |
| Jambi | 5.9 | 10.3 | 16.2 | 16.2 | 15.5 | 31.7 | 62.2 | 6.1 |
| South Sumatera | 3.3 | 10.7 | 14.0 | 14.0 | 21.2 | 35.2 | 60.5 | 4.3 |
| Bengkulu | 1.2 | 8.6 | 9.8 | 9.8 | 13.8 | 23.6 | 67.4 | 9.0 |
| Lampung | 3.1 | 7.7 | 10.8 | 10.8 | 18.1 | 28.9 | 66.9 | 4.1 |
| DKI Jakarta | 5.3 | 8.5 | 13.8 | 13.8 | 14.2 | 28.0 | 62.7 | 9.4 |
| West Java | 3.7 | 8.5 | 12.2 | 12.2 | 21.1 | 33.3 | 62.0 | 4.7 |
| Central Java | 3.1 | 7.0 | 10.1 | 10.1 | 22.4 | 32.5 | 64.6 | 3.0 |
| DI Yogyakarta | 1.1 | 3.8 | 4.9 | 4.9 | 14.0 | 18.9 | 76.6 | 4.7 |
| East Java | 4.2 | 8.6 | 12.8 | 12.8 | 19.8 | 32.6 | 63.7 | 3.8 |
| Bali | 3.0 | 5.3 | 8.3 | 8.3 | 12.3 | 20.4 | 73.6 | 5.8 |
| NTB | 6.2 | 12.1 | 18.3 | 18.3 | 23.6 | 41.9 | 53.6 | 4.4 |
| NTT | 4.6 | 12.0 | 16.6 | 16.6 | 29.7 | 46.3 | 50.0 | 3.7 |
| East Timor | 8.5 | 15.0 | 23.5 | 23.5 | 22.7 | 46.2 | 49.4 | 4.4 |
| West Kalimantan | 8.0 | 14.2 | 22.2 | 22.2 | 25.4 | 47.8 | 48.3 | 4.2 |
| Central | 8.4 | 8.9 | 17.3 | 17.3 | 21.3 | 38.6 | 53.9 | 7.5 |
| South Kalimantan | 4.0 | 11.6 | 15.6 | 15.6 | 18.3 | 33.9 | 62.6 | 3.5 |
| East Kalimantan | 3.5 | 8.3 | 11.8 | 11.8 | 17.4 | 29.2 | 67.2 | 3.7 |
| North Sulawesi | 7.8 | 7.6 | 15.4 | 15.4 | 17.4 | 32.8 | 62.3 | 4.8 |
| Central Sulawesi | 6.1 | 10.8 | 16.9 | 16.9 | 21.1 | 38.8 | 57.2 | 4.7 |
| South Sulawesi | 4.5 | 9.7 | 14.2 | 14.2 | 22.3 | 36.5 | 58.9 | 4.7 |
| South East | 4.3 | 8.9 | 13.2 | 13.2 | 21.5 | 34.7 | 59.6 | 5.7 |
| Maluku | 9.7 | 13.4 | 23.1 | 23.1 | 16.2 | 39.3 | 53.1 | 7.6 |
| Irian Jaya | 7.2 | 9.6 | 16.8 | 19.8 | 18.4 | 35.2 | 57.8 | 7.0 |
| Indonesia | 5.0 | 9.6 | 14.6 | 14.6 | 20.4 | 35.0 | 60.4 | 4.6 |
Source: Center of Statistical Bureau, South Sulawesi 1996
MS-PEM: Moderate to severe PEM Severe: < 60% W/A WHO-NCHS
Moderate: 60-69.9% W/A WHO-NCHS Good: 80-89% W/A WHO-NCHS
Mild: 70-79.9% W/A WHO-NCHS Over: >120%
W/A WHO-NCHS
Besides differences between income groups
and macro nutrient consumption, the discrepancy of consumption in the same
income group was also seen in those who have income fluctuations. Income
fluctuations co-related linerarly with food expenditure. This association
was highly seen in families below poor levels (Thaha, 1995).