Life-Cycle Data and its Importance to the Provision of
Life-Cycle Data and its Importance
to the Provision of Housing in Indonesia
Abstract
In recent years new housing programs were developed in Indonesia, however more can be
accomplished in this area with the help of more detailed housing and population data. As people
progress through the different stages of life, their housing needs also change. With Indonesia still
experiencing a sizeable housing backlog, data and research designed to consider changes in
housing needs over time can help the Indonesian government, housing policy analysts, and
developers create targeted policies and programs.
In order to be successful in this endeavor, however, housing should be classified by the
benefits it can provide to humanity first rather than its importance to economic growth. This is
most easily accomplished by classifying housing as social policy as opposed to infrastructure.
Housing life-cycle data, often referred to in the industry as “housing career data”, aided other
countries in their quest to provide adequate housing to their citizens. Comparing housing career
data from Indonesia with that of other countries revealed how subtle cultural differences and
other factors influence housing needs, emphasizing further the value of continuing to update and
elaborate on the data analyzed in this research.
Keywords: housing career, housing needs, social policy, Indonesia
1. Introduction
In recent years, new, more detailed data has been collected in Indonesia, which can
provide guidelines for the creation of targeted housing programs. This new data is unique
because it places more focus on the concept of change over time. The people profiled were from
different locations and represented different age groups to give a full picture of the housing
situation in the country. Indonesia already has some successful housing programs and the
government has taken additional action recently to address the current housing shortage.
However, as in many other countries the programs that exist are not able to provide enough
relief, especially due to Indonesia’s status as the fourth most populated country in the world with
more than 263 million people (Countries in the World by Population, 2017). Also, during 2017
the Indonesian population is expected to increase by more than 3,355,000 people (Indonesia
Population, 2017). With the World Bank estimating that 68 percent of the Indonesian population
will be living in cities by 2025, the importance of housing program development will continue to
grow as rapid urbanization continues (Indonesia's Urban Story, 2016). Due to this, the research
presented in the following sections was conducted in order to discover how to best cover the
housing needs of the Indonesian people. More specifically, it was designed to present
information about some current housing programs and to view current statistics about housing
and population demographics to provide the best options for the future. As the population of
Indonesia as well as that of the world as a whole shifts more towards city life, new policies will
need to be designed in order to reflect this change. However, this will only be possible if
accurate population housing data is analyzed in order to assess what is necessary to achieve
housing goals.
The development of housing programs from the analysis of housing related data is not
only important for the purpose of providing affordable living spaces for the people of Indonesia,
but also because of the relationship between housing and other factors that together play a
significant role in determining the prosperity of individuals within the country, as well as the
prosperity of the country itself.
2. Method
The amount of population data collected was just enough to serve the purpose of this
research. Qualitative inquiry “employs different philosophical assumptions; strategies of inquiry;
and methods of data collection, analysis and interpretation” and even though the processes for
qualitative and quantitative research are similar, qualitative research depends on text data and
draws on more diverse strategies of inquiry (Creswell, 2009, p. 184). Another key characteristic
of qualitative research is that researchers collect data in the field, often through interviews
conducted in person rather than taking individuals to a lab. Qualitative research projects also
usually involve multiple forms of data like interviews and documents rather than just one data
source (Creswell, 2009, p. 175). The housing career data included in this research includes
information collected in the field and much of the paper, especially chapters four and six, relies
on data collected from documents, books, and previous reports. Due to these facts about the data
included in the subsequent chapters, it can be determined that this research project is quantitative
in nature.
3. Current Housing Programs and Laws
a. Public Housing Savings (Tapera) Law
The Public Housing Savings (Tapera) bill was passed into law early in 2016. This law is
an attempt to address the housing backlog issue in Indonesia, as the Indonesian Real Estate
Association (REI) states that developers can only build 300,000 to 400,000 houses annually. This
number falls well below the 800,000 needed to begin to address the housing issue according to
the Ministry of Public Works and Public Housing (Paramita, 2016). The Tapera Law is also
designed to enable more people in the working population in Indonesia to be able to afford a
home by providing long term financing for housing. The program will start sometime in March
2018 with a specific date not yet set, although it is expected to require contributions from
employers and employees (Indonesia: New housing fund to require employer and employee
contributions, 2016). The most important details that are available about the program are as
follows:
• Employers will be expected to register all employees who are at least 20 years old (or
married and who earn at least the minimum wage for the Tapera program, including
foreign workers who have working visas for longer than 6 months.)
• Independent workers earning more than minimum wage also have to register for the
program
• Contributions to the program will be paid into members’ individual accounts at the
custodian bank. The initial draft of the law said that the contribution rates would be a
percentage of pay, 2.5% from the employee and 0.5% from the employer but the final
version of the law did not include specific rates, and the final rates are still being decided.
• There will be a management board, BP Tapera, which will oversee the investment
manager, custodian bank, and financial institutions
• The employee will have a choice between conventional funds and Islamic funds
• The funds for home construction or improvement will be available to employees who have
participated in the program for at least 12 months, make below a certain income, and who
do not own a home yet. Those who do not meet these requirements will receive their
contribution to the program plus an investment return when they turn 58 (Indonesia
Introduces 'Tapera Law': New Housing Fund that Requires Employer and Employee
Contributions, 2016).
Employer costs will increase because of this program, but the hope is that it will allow people
making lower incomes to be able to afford a home. Due to rising costs in employing workers, the
law has been met with some opposition from employers.
b. Bapertarum
The Bapertarum-PNS (Housing Savings Advisory Board for Civil Servants) program will
be merged with the Public Housing Savings (Tapera) program in 2018. Until then BapertarumPNS will continue to manage the Rp 800 Billion per year housing fund for government workers
(Susanty, 2016).
c. KPR-FLPP
The FLPP program was established in 2010. This housing loan program (Sejahterah
KPR) offers credit or financing for home ownership which includes mortgages issued by a bank
executive, conventionally or with Islamic principles and is supported by the Housing Financing
Liquidity Facility (FLPP) (Final Report: Preparation of Policy Documents and Strategies for the
Provision of Housing through the Housing Career System, 2016). The purpose of the liquidity is
to allow for citizens with income below Rp 4 million to obtain a home loan with low interest and
an affordable down payment. However, the government’s allocation of between Rp 4 and 5
trillion has not been enough to address the housing problem for low-income Indonesians and in
2014 the recorded housing backlog in Indonesia was 15 million units (Paramita, 2016).
4. Housing and Human Rights
Adequate housing is something that most people around the world strive for, and many
people spend years saving money with the hope that eventually they will be able to afford to
purchase their own home. In fact, housing is not just a dream for most of us, but it is considered
to be a human right. On December 7, 1987 at the 93rd plenary meeting the United Nations
General Assembly officially drafted a realization of the right to adequate housing due primarily
to the fact that the Universal Declaration of Human Rights and the International Covenant on
Economic, Social, and Cultural Rights “provide that all persons have the right to an adequate
standard of living for themselves and their families” which includes adequate housing (United
Nations General Assembly A/RES/42/146, 1987).
The UN committee on Economic, Social, and Cultural Rights states that the right to
adequate housing should be described as the right to live somewhere in peace, security, and
dignity. Adequate housing must be protected from forced harassment or eviction, and must
include safe drinking water, adequate sanitation and energy for cooking, heating, lighting, and
food storage. It must be affordable to the extent that the cost does not threaten the occupants’
ability to enjoy other human rights, and must have protection against the elements and provide
physical safety. Housing must also be accessible for disadvantaged groups of people, and it must
be located in a place which is close enough to schools and the workplace. “Lastly it must be
capable of taking into account the inhabitants expression of cultural identity” (The Right to
Adequate Housing, 2015, pp. 3-4).
In Indonesia, the UN resolution on the right to adequate housing has been adopted
officially, as “Indonesia’s Constitution and additional legislation guarantee the right to adequate
housing as defined by international human rights law” and the government has also “reiterated its
commitment to the progressive realization of the right to adequate housing” (Rolnik, 2013, p. 4).
The Indonesian government issued “Law Number 1 of 2011 on Housing and Habitation
(‘Housing Law’), with the purpose of fulfilling the public needs for housing” (Shalmont). This
law as well as the more recent Public Housing Savings (Tapera) Law were passed with the right
to adequate housing in mind. The fact that in recent decades housing has begun to be recognized
as a human right that governments should be obligated to provide has encouraged countries
around the world, including Indonesia, to develop policies that will allow this right to become a
reality for their citizens.
5. The Data
The urgency of collecting data and understanding how best to reduce the housing deficit
in Indonesia is expressed in the effect the current situation is having on the poorest citizens.
Housing backlogs cause the prices of the homes that do exist to go up, making it more difficult
for low-income people to afford them. Currently “the bottom 40 percent of households in
Indonesia cannot afford to buy a home on the formal market.” First and foremost, the situation
requires public housing policy designed for the needs of the country as well as an increase in
housing production (Input for the Setup of a Housing Career System, 2015). More specifically, a
more targeted approach is necessary, in which housing needs for specific life stages are also
taken into account. The data included in this section represents the importance of providing
housing that more accurately reflects the changing housing needs throughout one’s life and can
help in the development of policies that include rents and mortgage rates that are feasible for
different deciles.
Different situations in life can also influence where people live and what type of housing
they can afford. The population information below, collected in the diverse locations of
Surabaya, Makassar, and Palembang, reflects this concept. The data presented as part of this
research focused on large cities because they present the biggest challenges, so if housing
problems in large cities can be solved then those in the smaller cities and villages can be also.
Table 1: Housing Related Population Data from Indonesian Cities
Name : Ibu Juwariyah
Name: Bapak Fauzan
Age : 56 years old
Age : 42 years old
Job : casual laborer
Job : entreprenuer
Ethnic group : Javanese
Ethnic group : Javanese
Husband died, 3 children
Income : Rp 1 million/month
Address: Rusunawa Siwalan Kerto
Size of living space : 24 m2
Occupancy status : renter
Rental price : Rp. 38.000,-/month excluding
water and electricity
Married at age 13
Moved from parents’ house: age 19 (rented a
house),
Started working at a factory: age 22
1 child (3 years old)
Income: Rp 3 million/month
Address : Kenjeran
Size of living space : 60 m2
Occupancy status : lives with parents
(youngest Male Child)
Married at age 38
Name: Ibu Mirna
Age : 22 years old
Job : housewife
Ethnic group : Javanese
Husband: private employee,
1 child
Income: Rp 1.2 million/month
Address: Rusunawa Siwalan Kerto
Size of living space: 24 m2
Occupancy status: renter
Rental price: Rp. 38.000,-/month
excluding water and electricity
Married at age 16 and immediately
moved from parents’ house (rented
a house)
Name : Ibu Mintarsih
Age: 52 years old
Job : housewife
Ethnic group : Madurese
Address : Surabaya
Occupancy status : owns an
Islamic boarding school
Moved from parents’ house : age
20 (lived in Islamic boarding school)
Able to fund living alone : age 20
Name : Bapak. Muhammad Tarmin
Age : 27 years old
Job : trader
Status : Married
Address : Kenjeran
Moved from parents’ house : Age
14, to Jakarta (rented, close to workplace)
Occupancy status : lives with in-laws
(brother-in-law lives in an Islamic boarding school)
Married at age 27
Wants to own a house, but income
is not yet enough and in-laws will
not allow it
(Input for the Setup of a Housing Career System, 2015)
As can be seen from this data many factors including, age, marital status, location,
income, and age at which they became independent affect the type of housing that a person needs
and whether they are able to purchase a home. The following information was taken from
“Executive Summary: Input for the Setup of a Housing Career System” (2015):
Table 2: Affordability by Income Decile
household decile
-
affordable
household
affordable price
paying capacity
price estimate
income per
estimate only
per month
with advance
month
with loans
payment-
-
-
-
(Executive Summary: Input for the Setup of a Housing Career System, 2015, p. 22)(Numbers listed in millions of
Rupiah)
Table 3: Affordability of Rental and Ownership Rates
estimated
rental price per
installment per
selling price of
month *
month **
21
110,000,000
458,333
831,-,000,000
625,000
1,134,-,000,000
833,333
1,512,-,000,000
1,145,833
2,079,100
*assuming the rental price is 5% of the value of the property per year
**simulation with a State Savings Bank (BTN) interest rate of 9.75% and 15 year down payment of
30%
type
(Executive Summary: Input for the Setup of a Housing Career System, 2015, p. 22)
Table 4: Affordability by Income Decile and Housing Type
decile
income
D10
13,900,000
D9
7,000,000
D8
5,100,000
D7
4,200,000
D6
3,600,000
D5
3,100,000
D4
2,600,000
D3
2,100,000
D2
1,800,000
D1
1,200,000
*rent able to be paid is 15% per month
**road map housing policy reform
the rent able to
be paid per
month *
2,085,000
1,050,000
765,000
630,000
540,000
465,000
390,000
315,000
270,000
180,000
the
type of
installment
residential
able to be
property
paid per
owned
month**
type of
residential
property
rented-
5,600,000
2,600,000
1,800,000
1,400,000
1,100,000
900,000
700,000
500,000
400,000
100,000
-
(Executive Summary: Input for the Setup of a Housing Career System, 2015, p. 23)
The data in the graphs above shows that for many people, particularly those in the lower
deciles, affording to own a housing unit or even to rent a space to live seems out of reach without
some form of government funding assistance. Only those in the highest few deciles can afford to
live in the better types of housing the way the system is now. The poorest Indonesians are then
left completely dependent on others in order to be able to afford housing that is considered to be
adequate.
Decile groups 1-4 that include people considered to be poor or at least near the poverty
line have a need for shelter that is very minimal in the free rent (living with parents or in-laws) or
home rental categories. Decile groups 4-7 which include those considered low-income begin to
have the ability to rent or own a residence. Decile groups 8 and 9 which are considered middleincome or middle class start to show variations in their housing needs. Decile group 10, the
upper-income group, also shows more variation in housing needs. Unfortunately data on housing
affordability based on household spending ability shows that deciles 1-7 still experience
difficulty in accessing homes that are classified as type 36 or higher. This group represents 7080% of the population, so the proportion of housing stock based on the level of housing
affordability is as much as 70-80% for rental homes and 20-30% for owned homes (Executive
Summary: Input for the Setup of a Housing Career System, 2015, p. 23).
At the beginning of this chapter housing which follows different stages of life was
alluded to briefly. In the housing industry this has been increasingly referred to as a housing
career. Generally the life cycle of Indonesians follows a pattern which is represented by stages,
each with an age range. This has been used in Indonesia to formulate a list of appropriate
housing options which change over a person’s lifetime. A description in “Final Report:
Preparation of Policy Documents and Strategies for the Provision of the Housing Career
System”(2016) outlines the basic proposed formula that the housing career in Indonesia will be
based on according to thorough demographic data and research as well as cultural knowledge
about the life cycle that most citizens follow in Indonesia. The common life cycle in Indonesia
related to housing is:
“18-22 years old (single), 23-30 (young couple), 31-45 (young family), 46-55 (adult
family), 56-65 (pension), and finally 65+ (seniors)” (Final Report: Preparation of Policy
Documents and Strategies for the Provision of Housing through the Housing Career
System, 2016, p. 25). The age range of 0-18 years old is included in the graph below
from the document “Executive Summary: Input for the Setup of a Housing Career
System”, however it is assumed that at this life stage most people live with a parent or
guardian.
Table 5: Housing Needs Based on Age
typology of
residential site
age
life stage
occupancy requirement
0-18
school age
free rent (live with parent
or guardian)
18-22
single, university, start work
room, rent together
studio, room, 2.5x3
22-30
young couple
house, 1 room
Type 21
31-45
young family
house, 2-4 rooms
Type 36, 45
46-55
adult family
house, 2-4 rooms
Type 36, 45
56-65
Pension
house, 1-2 rooms
Type 21, 36
65+
senior citizens
house,1-2 rooms, free
rent, nursing home
Type 21,36
Source: analysis 2015
(Executive Summary: Input for the Setup of a Housing Career System, 2015, pp. 20-21)
The Housing Needs Based on Age table is an ideal scenario; however it is less likely for
each of these age groups to move to a larger house than the type that has been proposed in the
table. The minimum house size for a young family should be 2 rooms, or Type 36. There are
some aspects of this table which must be noted, as they influence the type of housing that is
needed. For example, senior citizens could live alone, still with children, or with grandchildren.
Depending on their age and health, they may still be living in a house, being cared for by their
children, or living in a nursing home. Each of these possible living situations is likely to require a
different type of housing. There are many other factors which influence housing type, such as
occupation, ethnicity, religion, or other symbols of status, or whether someone has been a victim
of a natural disaster, which can change the housing type which is needed. For this reason, the
graph should be considered a general depiction of housing needs in Indonesia for various age
ranges (Executive Summary: Input for the Setup of a Housing Career System, 2015, p. 21).
The housing life-cycle, or housing career, is not only important because more accurate
housing needs statistics are provided when the needs are graphed for different age ranges, but
life-cycle is also directly related to changes in the percentage of people who own a home.
Housing career is a concept that is being used more and more often in the housing industry. It
describes a series of dwellings occupied by households during their lifetime (Abramsson, 2012).
The next table is similar to the Housing Needs Based on Age table; however it includes
economic situation as a factor, listing the decile groups as well as more detailed information
about rent/ownership status.
Table 6: Housing Needs Based on Age and Economic Situation
Occupancy Requirement
Decile 1-4
Decile 5-7
Decile 8-9
free rent
free rent
free rent
free rent
Kos (boarding house) Kos (boarding house)
rent type 36
rent type 21/27 rent type 21/27
own type 36
rent type 36
own type 36
Housing Life-Cycle
0-18, school age
18-22, single, working
22-30, young couple
30-45, family (2 children)
46-55, adult family, children are
rent type 36,45
students or work, family lives together
55-65, retirement
rent type 21/27 own type 36,
65+, senior citizen
free rent, social extension
own type 36,
extension
Decile 10
free rent
rent type 21
rent type 45
own type 45
own type 45,
extension
*posts in bold: need help financing as well as government intervention
(Executive Summary: Input for the Setup of a Housing Career System, 2015, p. 29)
Notice that within the young couple, family (2 children), adult family, retirement, and
senior citizen life-cycle stages, all those in deciles 1-7 are in need of financing as well as
government intervention just in order be able to afford their basic housing needs. When
comparing this graph to those previously listed from “Executive Summary: Input for the Setup of
a Housing Career System” pages 22 and 23 it is not difficult to see that this is true, as there is a
gap between the actual rental price per month and paying capacity/rent able to be payed per
month particularly for the lower deciles. For example, decile 1 is only able to pay Rp 180,000
per month on their income, however monthly rent for a home in housing type 21 is listed at Rp
458,333. According to the same graphs, all decile groups below 5 would not be able to pay the
estimated rental price for a type 21 home without assistance.
The housing career data has been successful in providing more detailed information
about housing needs for different life stages so that exact deficits can be more accurately
estimated, allowing for a more focused path to the goal of providing basic housing needs for all
Indonesians, at every life-stage. Demographic data and a life-cycle plan specific to Indonesia has
supported the development of a housing career plan that will continue to help the government,
private developers, nonprofits, and international aid organizations to see clearly what must be
done and to develop policies that will allow for more successful outcomes for the people of
Indonesia.
The following data from 2015 was taken in Germany and was presented in the document,
“Final Report: Preparation of Policy Documents and Strategies for the Provision of Housing
through the Housing Career System”.
Table 7: German Rent vs. Ownership Percentages Based on Life-Cycle
Type
Own
Free Rent
Rent
Single, > 65 years old
35
5
60
Single, < 30 years old
3
5
92
Single parent + children
25
2
73
Couple without children, >65 years old 57
5
38
Couple without children, <65 years old 51
3
46
Couple + children
39
2
59
Average
35%
3.70%
61.30%
(Final Report: Preparation of Policy Documents and Strategies for the Provision of Housing through the Housing
Career System, 2016, p. 36)
Overall in 2015, 61% of the German population lived in Rental housing whereas 35%
owned their own homes. The development of a housing career system complete with factual data
based on different age groups has allowed for more effective housing development programs and
for more accurate percentages related to rental housing vs. ownership. It can be concluded with
the data above that only couples without children were more likely to own their homes than rent
them. This information could then be used to conclude that overall, German housing programs
are more oriented towards rental housing. That conclusion could then be used to either continue
the trend towards rental housing if housing programs appeared to be effective or try to introduce
the idea of ownership to some of the age groups that heavily emphasize renting if the programs
seemed to be failing for those age groups or at least needed to be countered with a different type
of housing program. However Germany’s heavy emphasis on rental housing and its obvious
popularity based on the number of age groups that predominantly rent shows that it is not always
necessary for countries to push citizens to own a home in order for the housing system to be
successful. The extreme emphasis on rental housing among those who are single and less than 30
years old in Germany reflects a common trend for people in that demographic across the globe
who often do not have enough income for a down-payment on a home or do not wish to settle in
one place yet, opting to avoid buying a home until they are more sure of where they want to live.
In the Housing Needs Based on Age table outlining the estimated life-cycle of the
Indonesian population, single life ends at the age of 22, whereas the single category in The
Percentage of Homeowners Based on Life-Cycle table is listed as below 30 years old for the
German population. This shows a remarkable difference in age range for the same category in
two difference countries. It is possible that in general, housing needs might change at a younger
age for the average Indonesian than the average German, as the young couple demographic
between the ages of 22 and 30 in Indonesia would require a larger space than in the single
category. This is an example of why cultural and social trends as well as general differences
between countries must be taken into account when developing a general housing career study,
and why this research to develop housing career statistics specific for Indonesia is so important
to the development of more targeted housing and housing policy. This study as well as future
housing career studies in Indonesia can help reflect which programs are working well so that
new conclusions and discoveries can be made about the housing situation. When combined with
population numbers, housing career data will allow policy makers and housing developers to see
more clearly what steps must be taken to improve the housing market for each age group based
on their preferences.
Many countries besides Germany and now Indonesia have studied the life-cycle of their
citizens, collected data from the population, and developed housing programs based on the result
of their findings. In 1976 the Rand Corporation in the United States published a paper in which
the author argued that “movement through life-cycle stages brings characteristic changes in the
size and consumption of households and, consequently, in their housing requirements”
(McCarthy, 1976, p. 11). The research was conducted in Brown County, Wisconsin and
concluded that less than 7 percent of all young single household heads were homeowners due to
their small living-space requirements, relatively low-incomes, and the fact that their jobs and the
place they want to live is less stable than, for example, families with children. The research also
showed that more renters in the middle of the life-cycle preferred single-family homes to
apartments but could not afford them. However, for people fortunate enough the life-cycle
pattern related to housing generally started with renting, continued to homeownership during the
middle stages, and would return to renting or remain in homeownership during the later stages
depending on financial ability. In all life-stages however, owners were more prosperous than
renters (McCarthy, 1976, pp. 12-14). Although this data is from 1976, many of its discoveries are
still generally accurate in much of America. Today, homeownership is often considered a sign of
wealth, as not everyone has the ability to afford mortgage payments. Demographers have
considered the Millennial generation to be “stuck in place” until recently, as the Great Recession
occurred as many of them were entering the housing market (Myers, 2016, p. 1). However, some
of the discoveries from the data collected for McCarthy’s study which was cited above are also
implied in the housing career data from Indonesia.
Monthly installment for a type 21 home in Indonesia is Rp 831,700; however the
installment payment that is possible on the salaries for deciles 1-4 is below that number. That is
why according to housing career data from the Housing Needs Based on Age and Economic
Situation graph, even those family age or older in deciles 5-7, with decile 7 considered close to
middle income, are listed as in need of financing and government assistance in order to own an
appropriate home. According to a 2016 article from The Jakarta Post, in big cities, the price of
housing has been skyrocketing at a rate of 15-20 percent per year, making “the idea of
purchasing their first home seem like a daunting task for most young Indonesian middle class
people” (Dalimunthe, 2016). Low supply and high demand causes an increase in prices.
Articles like this tend to paint a bleak picture of the housing situation in Indonesian cities
even for those in the middle class, and this is especially pronounced by the fact that culturally in
Indonesia, homeownership is considered to be something that is highly desired and an
expectation for certain stages of life. In addition to cultural implications of homeownership, it
must be noted that the amount of money that banks are willing to loan is determined by bank
calculations of the total assets of the loan applicant. If assets are too low the bank may conclude
that offering a loan would require them to assume too much risk. Since housing is an asset it
influences the amount of loan money that can be acquired to build a business, greatly affecting
those who are self-employed. In Indonesia, the workforce is still highly informal, with 63% of
the workforce in the informal sector, a significantly higher number than in surrounding countries
(Alatas & Newhouse, 2010, p. 56) In the opposite way, many loan applicants in the informal
sector find it difficult to get a loan from a bank to purchase a home because their income is
considered to be too unpredictable and unreliable. Thus, for many Indonesians the ability to
make a living and the ability to acquire housing are directly linked, further emphasizing the need
for a solution to housing shortages and issues with affordability.
6. The State of Housing in Indonesia, including Targets and Deficits
The Indonesian government is taking steps to tackle the housing deficit and to upgrade
existing housing which is considered not up to livability standards. Government housing reports
published recently show signs that some aspects of the housing career concept are being
considered in the plans for new housing projects, but that targets for various housing types are
still not being met. The graph below shows 2016 government plans for new rental apartments,
with separate categories for students, single workers, and working families that could be
considered part of a housing career progression. However, the housing career concept is still not
fully integrated into the Housing Ministry’s programs.
Table 8: Typology of Low-Income Rental Apartment Development Assistance
No.
Allocation
Type
Number of Floors Size (L x W) (meters) Number of Units
1
Islamic Boarding Schools
Ward
3 floors
37.5 x 14.9
12 units
2
Army/Police
45 (2 rooms)
3 floors
73.8 x 15.5
40 units
3
Students
24 (1 room)
3 floors (void)
59.25 x 17.6
66 units
4
Single Workers
24 (1 room)
5 floors (void)
74 x 16
114 units
5
Working Families
36 (2 rooms)
5 floors (void)
61.25 x 18.2
(Directorate of Low-Income Apartments: 2016 Programs and Activities, 2016)
66 units
The government set targets related to housing, to be achieved by 2019. They were:
2014
Target for 2019
Tenancy Backlog 7.6 Million
5 Million
Ownership Backlog 13.5 Million
6.8 Million
Uninhabitable Housing 3.4 Million
1.9 Million
Set to be achieved between 2015 and 2019, these goals to reduce the tenancy backlog by 2.1
million units, reduce the ownership backlog by 6.7 million units, and upgrade 1.5 million units
that are currently uninhabitable (Public Policy Plan for the Provision of Housing, 2016) are
ambitious. Unfortunately, these goals are not being reached.
Housing Backlog
Uninhabitable Housing Upgrade
In every category of housing listed, there is a substantial gap between the overall target and the
achievement (2015), target (2016), and plan (2017) outcome for-. With a priority
activities list for 2017 focused on; 1.building low-income rental apartments, 2.improving the
quality of uninhabitable housing, 3.building special housing, and 4.housing infrastructure
development, the government seems set to attempt to remedy the situation (Progress of Activities
in 2016 and 2017 Work Plan , 2016). However, a few obstacles must be overcome.
One interference that is hindering progress is financing. For example, the funding
required to realize the government’s strategic plan and uninhabitable housing upgrade targets
was estimated to be 184.66 trillion rupiah, but the state budget only allocated 33.09 trillion
rupiah, a deficit of 151.57 trillion rupiah (Progress of Activities in 2016 and 2017 Work Plan ,
2016). It is simply not possible to reach these housing targets if less than 1/5th of the proposed
budget is allocated. Nonetheless these numbers show that lack of sufficient funding is likely to
be an ongoing issue, drawing attention to the need to earn the greatest return on investment
possible. This will be easiest to achieve through the more accurate and targeted system offered
by the implementation of housing programs that follow the housing career model and are based
on housing career data derived from studies of the Indonesian population. This data can continue
to present the government and stakeholders in the housing sector with the most accurate
projections of housing need, specific to each type of housing.
The lack of adequate funding was addressed as part of a “strategy to lessen the housing backlog
and number of uninhabitable houses” presented at a housing sector coordination meeting in Bali
in September 2016 through the suggestion to increase the role of government via human resource
capacity building and increased funding for housing development. Other suggestions included
improving and strengthening the role of State-Owned Enterprises related to housing, improving
the allocation of special funds for housing like the stimulus for self-help housing assistance, and
increasing cooperation and collaboration with the World Bank (Realization of Activities in 2016
and 2017 Activity Plan, 2016). 70% of the housing in Indonesia is self-help housing meaning
that only 30% is built formally (Directorate of Self-Help Housing Work Plan-, 2016).
This is a product of multiple factors one of which being the difficulty of acquiring a mortgage
loan discussed in chapter 5 and another the current inability of the Indonesian government and
others involved in the housing sector to keep up with demand, a problem which is easily
identified by the presence and size of the housing backlog. The strategy proposed must be
followed and housing career data must be viewed as what it is, an invaluable tool and necessary
resource for the realization of the current objective: to equip the entire Indonesian population
with adequate housing, an internationally recognized human right.
7. Housing as Social Policy
Over time the debate about how to best classify housing has become more important,
especially as populations in urban areas have begun to grow at a faster pace. In many countries
important figures in the housing industry have pushed for housing to be classified as most
closely related to infrastructure. In 2016 The Confederation of British Industry (CBI) called for
housing to be included in the National Infrastructure Assessment in its annual housing report.
The deputy director-general of the CBI said that the housing shortage in Britain is a problem
because high prices keep people from staying in jobs and because of the “dent it puts in
productivity” (Johnstone, 2016). A couple years earlier an article for the guardian argued that the
Treasury of Britain did not consider housing to be infrastructure, so it has been unable to attract
enough funding from the private sector. Furthermore, the article’s author said that much of the
problem comes from the fact that housing has an identity crisis when it comes to policymaking,
stating “what is housing? Is it a human right, like our universal commitment to the right to an
education? Or is it infrastructure? Today, it is neither” (Fearn, 2014). This is just one of the
conversations from one country surrounding the topic of how to classify housing, and it presents
the main arguments for housing as infrastructure.
When housing is linked with infrastructure, the focus is primarily on the negative impact
that housing shortages have on business, stunting productivity and hindering economic growth.
Infrastructure is often defined as the structures, systems, and facilities serving the economy of a
business, industry, or country. In this interpretation, the issue of social need is taken out of the
equation. Fearn asked the question of whether housing is a human right or infrastructure. The
focus should be on developing adequate housing because this will be beneficial for humanity and
help to improve sectors like health and education, not simply because it will increase production
rates. The Malcolm Weiner Center for Social Policy at Harvard University defines social policy
as relating to “health, human services, criminal justice, inequality, education, poverty,
immigration, and labor” (About Us: Malcolm Weiner Center for Social Policy, n.d.) In “The
Student’s Companion to Social Policy”, a compilation of written pieces by leading European
professors in the field, the section on housing states that “housing plays a central part in debates
about social policy and welfare”. The authors continue by clarifying that “unlike some areas of
social policy, housing has never been a state monopoly, but responses to housing problems have
involved a significant role for governments” (Mullins & Murie, 2012, p. 352) The fact that
housing is described as an “area of social policy” is enough to convince many of its relevance to
the subject, but the fact that homelessness and access to social housing is mentioned relates
housing to poverty, one of the eight areas listed in the Malcolm Weiner Center’s definition of
social policy (Mullins & Murie, 2012, p. 355).
Housing has been shown to be directly related to culture, through its importance to family
culture and neighborhood culture, directly relating to the achievement rate of family members,
with place playing a vital role in determining the chances that families and children have to be
successful. According to an article by the Center for the Study of Social Policy in Washington
D.C., “Living in a distressed neighborhood exacerbates the effects of family poverty on
individual educational achievement, economic prospects, health, as well as other indicators of
well-being” (Affordable Housing as a Platform for Improving Family Well-Being: Federal
Funding and Policy Opportunities, 2011). In other words, the livability of the housing in an area
can greatly influence many other social factors, which although they appear to be individual
issues, are all interrelated through their connection to housing. Additionally, poor housing
conditions can cause dissatisfaction among individual families and the greater neighborhood
community, negatively influencing the overall culture of the area, and decreasing the unity of the
people living in the area. This can contribute to the creation of a less than ideal environment,
particularly for children. Overall, quality of life in neighborhoods can be greatly affected by
housing conditions there.
Housing that is not considered “adequate” often carries many health risks for the
occupants, providing further justification for the UN’s statement declaring that adequate housing
is a human right. “Respiratory and cardiovascular diseases from indoor air pollution, illness and
deaths from temperature extremes, communicable diseases spread due to poor living conditions,
and risks of home injuries” are just some of the many housing-related health risks (Health Impact
Assessment (HIA)- Housing and Health, 2010). Scientific evidence showing the links between
housing and health has increased substantially in the past few decades, with more evidence every
year, and health organizations have begun to promote improvements in housing quality and
design as ways of reducing the rate of many common but often serious health problems. Some of
these health problems are more common in developing countries, with data affirming that
millions of people have died in developing countries as a result of “indoor air pollution caused
by the burning of biomass and coal in leaky and inefficient household stoves” (Health Impact
Assessment (HIA)- Housing and Health, 2010). However many housing-related health problems
can impact people all across the globe and are not limited to the geographical region or the
perceived economic rank of the country in which an individual resides.
Evidence of this can be seen in epidemiological studies conducted both in Canada and
internationally which pointed to higher rates of poor health amongst individuals who are poorly
housed, specifically with heightened rates of mental illness, infectious diseases (HIV/AIDS and
tuberculosis), and substance abuse related ailments and injuries (Mahamoud, Roche, Gardner, &
Shapcott, 2012, p. 3). Some cities and countries have even begun providing supportive housing
directed at offering services for residents suffering from specific health issues like mental illness
and substance abuse, underlining the importance of place to overall health and vice versa. In the
past couple of decades, more research has been published specific to the connections between
housing and health in Indonesia. For example, the abstract of an article published in the
International Journal of Environmental Health Research in 2003 mentioned that environmental
health programs in Indonesia had focused on preventing and treating diseases affecting villagers
for decades and that a primary cause of disease in these villages was due to unhygienic
conditions of houses in these rural areas (Josodipoero, 2003). Research on the connections
between housing, or place, and health must continue as Indonesia moves forward with new
policies and projects to address housing deficits so that the housing designed provides a healthy
environment for residents.
Significant research has been published which analyzes the relationship between housing
and education as well. Studies have shown that access to affordable housing can lead to
improved student achievement. Low-income children can benefit educationally from the
“supported financial stability, reduced mobility, safe and nurturing living environment, and
platform for community development” that comes with access to affordable housing (Brennan,
Reed, & Sturtevant, 2014, p. 1). Moving is considered disruptive when it occurs due to negative
reasons such as “unstable housing situations, rising housing costs, or other difficulties” and
students who move at least three times before turning six years old exhibit increased behavior
and attention problems (Brennan, Reed, & Sturtevant, 2014, p. 2). People are already likely to
move periodically throughout their lifetimes due to altered housing needs shaped by life-cycle
changes or changes in family size as seen in the housing career data, so steps must be taken to
reduce the number of disruptive moves, which can be easily avoided through the provision of
affordable housing. Health issues caused by inadequate housing and unhealthy living situations
can also affect the ability of students to succeed in the classroom as they can cause discomfort or
distress which reduces concentration levels. Health problems due to unhealthy housing situations
can also contribute to excessive and/or prolonged absences from school. Unfortunately
Indonesian students are not immune to this, as the health problems that often occur in villages as
described above can affect the children who live in those unsanitary homes.
As research continues to uncover the remarkable influence that the housing situation of
an individual has on their overall health and likelihood of academic success, procuring data that
can assist in a more targeted approach to addressing housing needs must become a primary focus
for governments and others with the means to create effective change. Although many are quick
to see housing as an infrastructure issue due to its relationship with productivity levels and
economic growth, these can still end up as a primary focus when housing is viewed as a social
policy and human right. A healthy and well-educated work force is a productive workforce. If
health is poor due to unhealthy living conditions, job attendance decreases and illnesses are
spread at workplaces. As was stated earlier, health problems caused by inadequate housing can
cause decreases in school attendance, and disruptive moves by families due to a lack of adequate
low-income housing can negatively affect their children’s ability to concentrate at school,
ultimately contributing to a less educated population. Essentially, if enough adequate housing is
provided, health and education issues caused by housing will improve creating a healthier and
better-educated society, ultimately increasing productivity and economic growth.
The role of knowledge in economic growth has been studied increasingly for decades,
with a 1996 report on OECD countries concluding that in that year the average unemployment
rate for people with lower-secondary education was 10.5 percent and fell to 3.8 percent for those
with university education. “Investments in knowledge can increase the productive capacity of the
other factors of production and since these knowledge investments are characterized by
increasing (rather than decreasing) returns, they are the key to long-term economic growth” (The
Knowledge-Based Economy, 1996, pp. 10,11). The return on these investments will not be as
great if the negative effects of outside forces such as inadequate and unhealthy housing remain,
hindering the productivity of a better-educated population. Indonesia must take notice of the
conclusions of studies like these as they infer that recent national budget increases in education
both at the grade school and university level should be met with, at the very least, equal attention
to housing so as to receive the greatest return on investment possible.
8. Conclusion
Prior to the collection of data and development of research related to housing career in
Indonesia, excerpts of which were included in this paper, information related to the actual
housing needs of the Indonesian people was incomplete. As work and family life progresses in
cycles, so too does the type of housing that is essential for success. Besides pinpointing the
specific housing type that should be provided for people in different stages of life and income
levels, the data itself and analysis of it presented above uncovered the amount of financial
assistance needed to make these housing provisions a reality for each specific life-stage and
income level. The Indonesian central government, private developers and investors, as well as
NGOs can now accurately see where their money will have the greatest impact for the people
who need it the most, reducing the risk of wasteful spending and displaying a clear path to the
development of housing policies and programs that are more effective than those currently in
existence. After analyzing the housing career data specific to Indonesia and comparing it to
similar information from Germany, we were able to see some important cultural distinctions
between the average populations in the countries displayed in the context of life-cycle stages,
revealing why country specific housing data is necessary. In Indonesia for example, housing
needs are accentuated by the fact that most of the people eligible for some sort of housing
assistance are self-employed, making food or other goods and selling it out of their home. In this
way, housing career has been shown to be vital to Indonesia, as having a proper home is directly
related to job creation.
Analysis in chapter 7 showed that the way housing is classified can determine how it is
viewed in terms of its relationship to other fields, influencing policy as well as the impact it is
perceived to have on the well-being of humanity. Classifying housing as infrastructure detracts
from the human aspect, insinuating that the primary benefit of reducing housing deficits is its
relationship to economic growth. Viewing housing as a social policy issue highlights the direct
influence it has on health and education, proven by Chapter 7’s thorough analysis. Improvement
to any of these fields often results in a decrease in poverty. If the goal is to follow the U.N
General Assembly resolution and the Indonesian Constitution and consider housing to be a
human right, it is best to classify it as related to other fields within social policy and in time an
increase in production will follow.
Although the data included in this research is new and will undoubtedly be influential to
policymaking and program development in Indonesia for years, it is just the beginning. More
studies must be completed related to housing career in Indonesia and the data must be regularly
updated to account for demographic changes and any cultural shifts that occur. Its direct
correlation to education and health, status as a human right, relationship to job creation and
importance to creating positive neighborhood environments that allow for cultural expression all
justify why the provision of adequate housing must be viewed as a priority not only in Indonesia
but in all countries.
Bibliography
About Us: Malcolm Weiner Center for Social Policy. (n.d.). Retrieved from Harvard Kennedy School
Malcolm Weiner Center for Social Policy: https://www.hks.harvard.edu
Abramsson, M. (2012). Housing Careers. International Encyclopedia of Housing and Home, 385-389.
Affordable Housing as a Platform for Improving Family Well-Being: Federal Funding and Policy
Opportunities. (2011, June). Retrieved February 8, 2017, from Center for the Study of Social
Policy: www.cssp.org
Alatas, V., & Newhouse, D. (2010). Indonesia Jobs Report: Towards Better Jobs and Security for All.
Jakarta: The World Bank. Retrieved from The World Bank: http://datatopics.worldbank.org
Brennan, M., Reed, P., & Sturtevant, L. (2014). The Impacts of Affordable Housing on Education.
Washington D.C.: The Center for Housing Policy. Retrieved from http://www.nhc.org
Countries in the World by Population. (2017). Retrieved January 20, 2017, from Worldometers:
http://www.worldometers.info
Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Los
Angeles: Sage.
Dalimunthe, R. (2016, June 14). The Tight Race for home ownership. Retrieved from The Jakarta Post:
http://www.thejakartapost.com
(2016). Directorate of Low-Income Apartments: 2016 Programs and Activities. Jakarta: Ministry of
Public Works and Housing.
(2016). Directorate of Self-Help Housing Work Plan-. Jakarta: Ministry of Public Works and
Housing.
(2015). Executive Summary: Input for the Setup of a Housing Career System. Jakarta: Ministry of Public
Works and Housing.
Fearn, H. (2014, January 31). If housing were seen as infrastructure there would be a lot more of it.
Retrieved from the guardian: https://www.theguardian.com
(2016). Final Report: Preparation of Policy Documents and Strategies for the Provision of Housing
through the Housing Career System. Jakarta: Ministry of Public Works and Public Housing .
Health Impact Assessment (HIA)- Housing and Health. (2010, October). Retrieved from World Health
Organization: http://www.who.int
Indonesia Introduces 'Tapera Law': New Housing Fund that Requires Employer and Employee
Contributions. (2016, June 6). Retrieved January 23, 2017, from HR in Asia:
http://www.hrinasia.com/
Indonesia Population. (2017). Retrieved January 23, 2017, from countrymeters: http://countrymeters.info
Indonesia: New housing fund to require employer and employee contributions. (2016, May 31). Retrieved
January 23, 2017, from Willis Towers Watson: https://www.towerswatson.com
Indonesia's Urban Story. (2016, June 14). Retrieved January 23, 2017, from The World Bank:
http://www.worldbank.org/
(2015). Input for the Setup of a Housing Career System. Jakarta: Ministry of Public Works and Housing.
Johnstone, N. (2016, November 7). CBI calls for housing to be viewed as infrastructure. Retrieved from
Inside Housing: http://www.insidehousing.co.uk
Josodipoero, R. (2003, June). Housing improvement projects in Indonesia: responding to local demand.
International Journal of Environmental Health Research, 13(Suppl 1), S67-S72. doi:
10.1080/-
Mahamoud, A., Roche, B., Gardner, B., & Shapcott, M. (2012). Housing and health: Examining the
Links. Toronto: The Wellesley Institute. Retrieved February 9, 2017, from
http://www.wellesleyinstitute.com
McCarthy, K. F. (1976, January). The Household Life Cycle and Housing Choices. Retrieved January 31,
2016, from huduser: https://www.huduser.gov
Mullins, D., & Murie, A. (2012). Housing. In P. Alcock, M. May, & S. Wright (Eds.), The Student's
Companion to Social Policy (pp. 352-358). Oxford: Wiley-Blackwell.
Myers, D. (2016). Peak Millennials: Three Reinforcing Cycles That Amplify the Rise and Fall of Urban
Concentration by Millennials. Housing Policy Debate.
Paramita, S. (2016, March 16). Analysis: Tapera Law: Government's effort to curb housing problem.
Retrieved January 23, 2017, from The Jakarta Post: http://www.thejakartapost.com/
(2016). Progress of Activities in 2016 and 2017 Work Plan . Jakarta: Ministry of Public Works and
Housing.
(2016). Public Policy Plan for the Provision of Housing. Jakarta: Ministry of Public Works and Housing.
(2016). Realization of Activities in 2016 and 2017 Activity Plan. Bali: Ministry of Public Works and
Housing.
Rolnik, R. (2013, December 26). Report of the Special Rapporteur on adequate standard of living, and on
the right to non-discrimination in this context. Retrieved January 24, 2017, from United Nations
Human Rights Office of the High Commissioner: www.ohchr.org
Shalmont, J. (n.d.). Law on Housing and Habitation-Indonesia. Retrieved January 24, 2017, from HG.org
Legal Resources: https://www.hg.org
Susanty, F. (2016, March 17). Bapertarum to operate normally before merger. Retrieved January 23,
2017, from The Jakarta Post: http://www.thejakartapost.com/
(1996). The Knowledge-Based Economy. Paris: Organisation for Economic Co-operation and
Development (OECD). Retrieved from https://www.oecd.org
The Right to Adequate Housing. (2015, January 15). Retrieved January 24, 2017, from UN Habitat:
http://unhabitat.org/
United Nations General Assembly A/RES/42/146. (1987, December 7). Retrieved January 24, 2017, from
UN Habitat: http://mirror.unhabitat.org/