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National Institute of Population and Social Security Research
National Institute
of Population and
Social Security
Research
National Institute of Population and Social Security Research
Message from the Director-General
Coping with low fertility and an aging population are the crucial policy challenges for Japan. Having
undergone dramatic economic growth and rapid social developments after the Second World War, our
longevity and living standards have greatly risen. However, with a large increase of elderly people, social
security expenditures to the public pension, medical and nursing care services and so on, have also increased
markedly. Meanwhile, the youth population, who should shoulder those social security burdens, has been
continuing to decline, which was recently followed by a decline of the total population. Amid these challenges,
how to sustain our living standards is the greatest issue for Japan.
      Indeed, the rapidly-aging society and the shrinking population are a world’s first for humankind. Japan
is now beginning on this trend, however it is not only the case of Japan; more than a few Asian countries and
other countries in the rest of the world are to encounter the same challenges sooner or later. Therefore, our
experiences grappling with those challenges should be the touchstone for all the people in the world.
      In order to address these challenges and create a sustainable, healthy and culturally vibrant society for
all people, highly precise and detailed scientific evidences are indispensable for policy makers. Our mission
is to produce such data through our own researches, social surveys on the multi-facets of demographics and
people’s lives, and highly precise population projections.
      Our institution, the National Institute of Population and Social Security Research, placed under the
Ministry of Health, Labour and Welfare, was established in 1996 through the integration of the former two
public policy research institutes; the Institute of Population Problems, placed under the Ministry of Health
and Welfare, and the Social Development Research Institute, which was a governmental cooperation.
Along with investigating the multi-facets of demographics and people’s lives, we have conducted a plenty of
independent researches concerning social security policies of Japan and other countries. The data we produce
on demographics are the foundations for determining the entire range of national and local public policies,
including the public pension and other social security policies. Furthermore, our data are highly evaluated
not only by public policy makers, but also by those in the business sector, international organizations, and
academics all over the world.
      In addition, regional disparities and time-series f luctuations of fertilities, the pace of aging and
population decline are extreme in Japan, and people’s values and lifestyles have also diversified recently so
much. Moreover, other relevant issues such as poverty, gender inequality, and social inclusion at community
level are also at the top of the agenda. Our mission is to cover all those issues, produce high-quality scientific
evidences and disseminate them widely to the society, in the collaboration with all related agencies of national
and local governments, and academic institutions in Japan and the world.
      We, all IPSS staff, shall realize our mission and responsibility to society and endeavor to reach to a higher
goal than ever. We sincerely ask for your understanding and warm support to our activities.

     April 2020

                                                                                                 Kuniaki Tanabe
                                                                                                Director-General
                                                                             National Institute of Population and
                                                                                        Social Security Research
National Institute of Population and Social Security Research
Table of Contents
Message from the Director-General ���������������������������������������������������������������������������������������������������� 1

Table of Contents ���������������������������������������������������������������������������������������������������������������������������������2

History �������������������������������������������������������������������������������������������������������������������������������������������������3

Population Projection ������������������������������������������������������������������������������������������������������������������������� 4

The Financial Statistics of Social Security in Japan
Providing data for relevant government ministries and international organizations����������������������� 6

Annual Population and Social Security Surveys (general statistics) ��������������������������������������������������7
The National Fertility Survey
The National Survey on Migration ����������������������������������������������������������������������������������������������������� 8
The National Survey on Social Security and People’s Life
The National Survey on Family in Japan ������������������������������������������������������������������������������������������� 9
The National Survey on Household Changes

Major Research Projects ��������������������������������������������������������������������������������������������������������������������10
1. Research for a society in which everyone is able to participate
   A Comprehensive Study on the Realization Strategy of Japan’s Plan for Dynamic Engagement
   of All Citizens (from FY2017) [In-house project]
2. Demographic and interdisciplinary analysis of Japan’s longevity ����������������������������������������������� 11
   Modeling and Comprehensive Analysis of Population, Economy and Society of Ultra-Longevity
   (FY2020–2022) [In-house project]
3. A mid the massive immigration inflow, shedding light on the dynamics of emigration pressure
    from Asian countries ���������������������������������������������������������������������������������������������������������������������12
    Survey on Emigration Pressure of Asian Countries (FY2019–2020) [In-house project]
4. Big data utilization in the health promotion measures of local governments ����������������������������� 13
   Project for the promotion of evidence-based policy-making in the health sector by local
   governments using the claims data for health and long-term care insurance
   (FY2020) [In-house project]

Other Research Projects

International Cooperation �����������������������������������������������������������������������������������������������������������������14

Seminars��������������������������������������������������������������������������������������������������������������������������������������������� 15

Publication, Database������������������������������������������������������������������������������������������������������������������������� 16
Library

Organization �������������������������������������������������������������������������������������������������������������������������������������� 17

Advice and Evaluation by External Experts �������������������������������������������������������������������������������������18
National Institute of Population and Social Security Research
History
                Institute of              1939.8         Institute of Population Problems established
       Population Problems
                                            1940.4            Publication of the Journal of Population Problems started

                                              1940.5             The first estimation of future population

                                                                  Integrated with Research Institute of the Ministry of Health and
                                                   1942.11         Welfare to become Department of Population of the Ministry’ s
                                                                   Research Institute

                                                                       Attained independence once again to become the Institute of
                                                     1946.5
                                                                       Population Problems

        Recommendation of the establishment
         of a research institute by the Advisory        1962.8
              Council on Social Security System

                  Social Development Research
                           Institute established
                                                             1965.1        Social Development Research Institute

                   Publication of the Quarterly of             1965.1
                  Social Security Research started

                         Publication of the Overseas             1968.1
                        Social Security News started

                           Started collecting statistics              1984.8
                             on social security benefits

             National Institute of Population                           1996.12
                                                                                        Integration of Institute of Population Problems and
             and Social Security Research                                                Social Development Research Institute

                                                                          2014.8          75th Anniversary of Institute of Population Problems

                                       50th Anniversary of                     2015.1
                       Social Development Research Institute

                 20th Anniversary of Institute of Population and                2016.12
                                       Social Security Research

    Before World War II, the concern for overpopulation grew due to the food shortage and unemployment, and population
    problems drew wide public attention in view of securing human resources. Consequently, in August 1939, the Institute of
    Population Problems was established. It was the first national research institute in the world that focused on population
    issues. After World War II, a decline in fertility rates and the aging of the population became evident as the economy
    developed, and the importance of systems and policies to cope with these issues became apparent.
          Moreover, social security in Japan progressed steadily and the universal coverage of public pension and health
    insurance was achieved by the mid-1960s. However, basic as well as comprehensive research systems to study social
    security had yet to be organized. In January 1965, the Social Development Research Institute was established under the
    recommendation of Advisory Council on Social Security System.
          Continuous trends of low fertility, aging, and slowdown in economic growth have brought the relationship between
    population and social security closer. As such, there arose a growing need to understand the interaction between the two
    fields. On the other hand, during this period, the reorganization of research institutions under the Ministry of Health
    and Welfare was requested in the context of government reform to better cope with the evolving situation of Japanese
    society. In December 1996, the Institute of Population and Social Security Research was created by integrating two
    institutes – the Institute of Population Problems and the Social Development Research Institute.
          August 2014 marked the 75th anniversary of the Institute of Population Problems, January 2015 marked the 50th
    anniversary of the Social Development Research Institute, and December 2016 marked the 20th anniversary of the
    Institute of Population and Social Security Research.

3
National Institute of Population and Social Security Research
Population Projection
In order to provide basic information for planning the mid- to long-term national social security systems and for other
related policies, the National Institute of Population and Social Security Research releases various population and
household projections: “Population Projections for Japan,” “Regional Population Projections for Japan,” Household
Projections for Japan,” and “Household Projections for Japan by Prefecture.”

Population Projections for Japan
“Population Projections for Japan” is a projection of the overall size and the age-sex breakdown of Japan’s future
population, used widely as an important reference by the national and local governments and in other various fields.
These projections are based on demographic analyses using the Census, vital statistics, and the national representative
surveys conducted by the Institute.

● Population in Japan
(Million)
                                                            98.27 million                   127.09 million                88.08 million
     140                      Total Population
                                                               (1965)                           (2015)                       (2065)

    120
                                                                                   Population aged 65+
                                                                                                                                                50.56 million
                 36.65 million                                                                     26.6%
                                                                                                                                                   (2115)
    100             (1880)     43.85 million
                                  (1900)                             6.3%

     80

     60                                                              68.1%                                                        38.4%

                                                            Population aged 15 to 64               60.8%

     40

                                                                                                                                  51.4%                              Sources: Population Estimates by
     20                                                                                                                                                              the Cabinet Bureau of Statistics,
                                                                     25.6%                                                                                           “Population Census”, “Population
                                 Population aged 0 to 14                                           12.5%                                                             Estimates”, by Statistics Bureau,
                                                                                                                                  10.2%
     0                                                                                                                                                               Population Projections for Japan:
      1880             1900         1920          1940           1960       1980          2000     2020           2040     2060      2080          2100              2016-2065 (Medium Variant)
                                                                                   Year

● Changes in Population Pyramid
 1965                              120                                                     2065
                                   100
     Male                           90                   Female                                                                                    120
                                    80                                                            Male                                                                                      Female
                                    70                                                                                                             100
                                    60
                                    50                                                                                                             90
                                    40
                                                                                                                                                   80
                                    30
                                    20
                                                                                                                                                   70
                                    10
                                    0
120 100     80    60   40   20   0      0   20    40   60   80    100 120                                                                          60
                            Population (10,000)

                                                                                                                                                   50
                                                                                                                                                                                 Fertility – low variant
                                                                                                                                                   40
 2015                              120
                                   100
                                                                                                                                                   30                            Fertility – medium variant
     Male                           90                   Female
                                                                                                                                                   20
                                    80
                                                                                                                                                                                 Fertility – high variant
                                    70
                                                                                                                                                   10
                                    60
                                    50
                                                                                                                                                    0
                                    40
                                                                                           120    100        80      60      40      20        0         0      20       40    60      80      100         120
                                    30
                                                                                                                                          Population (10,000)
                                    20
                                    10
                                     0                                               Sources: Population Projections for Japan: 2016-2065 (Medium Variant)
120 100     80    60   40   20   0      0   20    40   60   80    100 120
                            Population (10,000)

Sources: Population Census

                                                                                                                                                                                                                 4
National Institute of Population and Social Security Research
Regional Population Projections
    Under the circumstances of the aging population and low fertility rates throughout the country, regional population
    projections for Japan are used as the basic data for formulating various socioeconomic and community welfare plans.
         While the population is declining and aging nationwide, there are considerable regional variations in the trends of
    the elderly population and the aging rate.

    ● Population aged 65 and over (aged 65–74, and 75 and over) by prefecture (2015 and 2045)

                                                                                                                         (10,000)
                   0   50     100       150      200        250         300         350         400         450         500

         Tokyo
     Kanagawa
         Osaka
       Saitama
          Aichi
         Chiba
        Hyogo
      Hokkaido
       Fukuoka
      Shizuoka
        Ibaraki
     Hiroshima
         Kyoto                           75 years old or older (2045)
        Miyagi
                                                                                                                                2045
                                         65-74 years old (2045)
        Niigata
       Nagano                            75 years old or older (2015)
        Gunma
           Gifu
                                         65-74 years old (2015)
      Okayama
        Tochigi
     Fukushima
            Mie
     Kumamoto
     Kagoshima
       Okinawa
         Shiga
         Ehime
     Yamaguchi
          Nara
      Nagasaki
        Aomori
          Iwate
           Oita
       Ishikawa
     Yamagata
      Miyazaki
       Toyama
                                                                                               2030
          Akita
                                                                                                                         50% and over
       Kagawa
     Wakayama                                                                                                            40 to 50%
     Yamanashi
                                                                                                                         30 to 40%
          Saga
          Fukui                                                                                                          20 to 30%
     Tokushima
                                                2015                                                                     20% and under
         Kochi
      Shimane
         Tottori                                           ● Percentage of population aged 65 and over
                                                             by municipality in 2015, 2030 and 2045
                                                             * Fukushima Prefecture is a projection for the entire prefecture

                                                              Sources: 2015 Census and Regional Population Projections for Japan: 2015-2045

5
National Institute of Population and Social Security Research
The Financial Statistics of Social Security in Japan
Providing data for relevant government ministries and international organizations
Every year, the National Institute of Population and Social Security Research releases “The Financial Statistics of Social
Security in Japan.” The statistics estimate both total and categorical amounts of annual receipt and expenditure on social
security schemes in Japan on the basis of two international standards; the ILO (International Labour Organization)
standards and the OECD (Organization for Economic Co-operation and Development) standards. In 2012, “The Financial
Statistics of Social Security in Japan” was designated as under the scope of Fundamental Statistics by the Statistical Act.
     According to the time-series trend of social benefit by three categories, the benefits for pensions and medical care
have been increasing year by year as a result of the ongoing phenomenon of population aging and the advancement of
medical technology.

● Social benefit by category
(Trillion Yen) 60
                                                                                                 Pensions
              55                                                                               54.9 trillion yen
                                                                                                   (45.6%)
              50                                                                                                                    Medical care
                                                                                                                                   36.5 trillion yen
              45
                                                                                                                                       (32.8%)
              40

              35

              30

              25

              20

              15                                                                                                                  Welfare & others
                                                                                                                                   26 trillion yen
              10                                                                                                                      (21.6%)

               5

               0
               1970        1975         1980         1985         1990         1995           2000          2005      2010                2017
                                                                                                                                      (Fiscal Year)

     The international comparison shows that most social expenditure goes to the elderly in Japan. According to the
comparative social expenditure per GDP by nine policy areas, social expenditure on the elderly – such as pension or
long-term care benefits – is the second highest, while social expenditure on family – such as family benefits – is the
second lowest among the six developed countries compared.
     Statistics have been broadly used as fundamental sources to monitor social security policies and their financing,
and also as a significant index to conduct international comparisons of social security expenditures.

● International Comparison of Social Expenditure relative to GDP in FY2015

(%) 35

    30

    25

    20                                                                                                                Other social policy areas
                                                                                                                      Housing
    15                                                                                                                Unemployment
                                                                                                                      Active labor market programmes
    10                                                                                                                Family
                                                                                                                      Health
     5                                                                                                                Incapacity-related benefits
                                                                                                                      Survivors

     0                                                                                                                Old age
            Japan          Japan          UK             USA          Sweden        Germany          France
           (FY2017)

Made by National Institute of Population and Social Security Research based on the materials below
Sources: S
          ocial Expenditure for OECD countries except Japan is based on the OECD Social Expenditure database. (Downloaded on 24th May 2019)
         GDP data on Japan are based on the Cabinet Office’s “Annual Report on National Accounts for FY 2017,” while the data on other countries are
         calculated by IPSS using the data from the OECD Annual National Accounts Database. (Downloaded on 24th May 2019)

                                                                                                                                                       6
National Institute of Population and Social Security Research
Annual Population and Social Security Surveys (general statistics)
    ● Annual Population and Social Security Surveys (general statistics)

         The National Institute of Population and Social Security Research conducts nationwide surveys (referred to as
    Annual Population and Social Security Surveys) on five different themes. The results of each survey are used as basic
    data for policy making by national and local governments, and are also widely used in various fields.

                                                                                    National Survey                                                                                         National Survey
     National Fertility                      National Survey                                             National Survey
                                                                                   on Social Security                                                                                        on Household
     Survey in 2015                           on Migration                                              on Family in 2018
                                                                                     and People’s                                                                                              Changes
                                                 in 2016
                                                                                      Life in 2017                                                                                              in 2019

    The National Fertility Survey
    The National Fertility Survey is a nationwide survey conducted every 5 years by the National Institute of Population and
    Social Security Research in order to investigate
                                               平成 27 年度
                                                         the current state of and issues related to marriage, childbirth, and child-
    rearing平成in Japan.
                26 年度
                        It consists of a survey    targeting married couples 平成
                                             出生動向基本調査                            and23another
                                                                                       年度
                                                                                              one targeting unmarried individuals.
    Accompanied
            世帯動態調査  by the continuing trend of low fertility rate in Japan, population
                                                                                人口移動調査 decline, population
                                                                                                    1940 年に第 1aging    and changes in
                                                                                                                回調査が行われ、
    the way in which people live all influence the future of Japanese society. One of the important       purposes of this survey is
                                                                                                    ほぼ 5 年周期で実施しています。
    to understand the state平成 of 25
                                 low年度fertility rate and to explore
                                                                平成 24its年度
                                                                         causes. The survey asks unmarried individuals about their
    willingness to marry全国家庭動向調査
                            and their lifestyles, and married   couples about their willingness to have children and their fertility
                                                         生活と支え合いに関する調査
    behavior, as well as their work and child-rearing environments. By doing so, the survey depicts changes overtime and
    identifies new issues through comparison with previous surveys and across different sociodemographic characteristics.
         The results of this survey are used as reference material to determine the future fertility rate               in population
                                                                                                                    1940 年に第
    projections. In addition平成  to24being
                                     年度
                                           used to evaluate
                                                      平成
                                                              policy targets, such as the Outline
                                                          25 年度                                   平成
                                                                                                     of 年度
                                                                                                     27  Measures 1for   Society with
                                                                                                                     回調査が行
       平成 23 年度                                                             平成 26 年度
    Declining  Birthrate and   the Regional Empowerment
                            生活と支え合いに                   全国家庭    for Japan’s Growth   Comprehensive出生動向
                                                                                                    Strategy, it is also
                                                                                                                    われ、ほぼused5 to show
       人口移動調査                                                               世帯動態調査
    the state of and issues related
                              関する調査    to the declining  birthrate, for many official reports, such
                                                       動向調査                                          as the Annual年周期で実施
                                                                                                   基本調査               Health, Labour
                                                                                                                    しています。
    and Welfare Report, the Declining Birthrate White Paper, the White Paper on Gender Equality, and materials of various
    policy committees.

                   Changes in employment status of wives                                                    Changes in married couples’ ideal and intended
                       before and after giving birth,                                                         number of children and unmarried men and
                       by birth year of the first child                                                   women’s desired number of children, by survey years

    Looking at the employment status of wives before and                                                With regard to the ideal and intended number of children
    after giving birth to their first child, it can be seen that the                                    for married couples and the desired number of children
    percentage of wives who were employed both before and                                               for unmarried men and women, data shows that overall,
    after birth was 38.3% in 2010-2014, which was a large                                               the average number for each has been declining since the
    increase compared to previous years. It is worth noting                                             1980s.
    that there was a significant growth in the percentage of
    wives who used parental leave after giving birth to their
    first child. Among wives who were employed before giving
    birth, 53.1% continued their employment.

    ●Changes in employment status of wives before and after                                             ●Changes in the ideal, intended and desired number of
     giving birth, by birth year of the first child                                                      children (average), by survey
        100
                                                                                                           Ideal, intended and desired number of children (average)

                  3.1%      3.4%      3.8%        3.8%       4.1%      4.2%
         %                                                                                                                                                            2.8
                                                                                                                                                                                    2.67
                                                                                                                                                                            2.62           2.64
                                                            24.0%     23.6%
         80      35.5%     34.6%      32.8%       28.4%                                                                                                               2.6                                 2.56
                                                                                                                                                                                                  2.53
                                                                                                                                                                                                                  2.48
                                                                                                                                                                                                                         2.42
                                                                                                                                                                      2.4   2.34
         60                                                                                                                                                                        2.30
                                                                      33.9%                     B                                                                                          2.23
                                                                                                                                                                            2.29                                                  2.32
                                                            42.9%                               46.9%
                                                  40.3%                                                                                                               2.2                         2.16
                                                                                                                                                                                   2.23                   2.13           2.12
                 37.3%     37.7%      39.3%                                      Employed                                                                                   2.20                                  2.11
         40                                                                        before                                                                                          2.23    2.18
                                                                                                                                                                                           2.17   2.15                            2.02
                                                                      10.0%      giving birth
                                                                                                                                                                      2.0                         2.13            2.10
                                                                                                                                                                                                          2.05           2.07     2.01
                                                                                                                                                                                                                  2.07
                                                             9.7%                                                                                                                                         2.03           2.04
         20                                       12.2%
                                      13.0%                                      A              C                                                                                                                                 1.91
                 18.4%     16.3%                                                 38.3%          53.1%                                                                 1.8
                                                                      28.3%
                                                            19.4%
                                                  15.3%
                            8.1%      11.2%
                 5.7%
          0
                 1985      1990     1995      2000      2005          2010                                                                                            0.0
                 -1989     -1994 -1999 -2004 -2009                    -2014                                                                                                   8th    9th   10th   11th   12th   13th   14th   15th
                              Birth year of the first child                                                                                                                 (1982) (1987) (1992) (1997) (2002) (2005) (2010) (2015)

              Unknown                                     A: Continued to work
                                                                                                                                                                                   Ideal number of children (married couple)
              Not employed prior to pregnancy
                                                          (Among those employed before giving birth)                                                                               Intended number of children (married couple)
              Stopped working upon giving birth
                                                          B: Stopped working upon giving birth                                                                                     Desired number of children (unmarried women)
              Continued to work (no parental leave)       C: Continued to work
              Continued to work (used parental leave)                                                                                                                              Desired number of children (unmarried men)

                                                                                                                                                                      Notes:	Married couples include wives age are under 50, and unmarried
                                                                                                                                                                              men and women are between 18 and 34 years of age

7
National Institute of Population and Social Security Research
The National Survey on Migration
The National Survey on Migration is conducted                                                                           ●Percentage of those who moved from and then returned to
to obtain fundamental data on the trends and                                                                             the prefecture of birthplace
prospects of the geographic mobility of the people
liv ing in Japan. The sur vey prov ides detailed
data on individual migration experiences that are
not obtained from other governmental statistics                                                                                                                                                                                         15.2

such as the Population Census and registration-
based migration statistics. The survey consists of
retrospective questions on place of residence at
major life events (e.g., birth, completion of school,                                                                                                                                                                      24.0
first job, marriage, and so on) as well as that of 1
                                                                                                                                                                                                                        25.9
and 5 years earlier, the prefectures in which the                                                                                                                                                                                22.6

respondents have lived (including outside Japan),                                                                                                                      29.3
                                                                                                                                                                                                                        22.6 19.2

and prospects of residence 5 years ahead. The
results are used in formulating regional population                                                                                                                                                             21.4
                                                                                                                                                                                                                          20.6

projections in Japan and informing various policies.                                                                                                                                                22.1
                                                                                                                                                                                                        25.9
                                                                                                                                                                                                             23.8
                                                                                                                                                                                                                  21.5
                                                                                                                                                                                                                       17.6
                                                                                                                                                                                                                          21.1
                                                                                                                                                                                                                     18.4
      The results of the 8th National Sur vey on                                                                                                                                     25.2
                                                                                                                                                                                                 21.7
                                                                                                                                                                                                       19.8     22.8  19.7 17.4
                                                                                                                                                                                                                     17.1
Migration, conducted in July 2016, show that due to                                                                                                                        28.5    20.7 18.3
                                                                                                                                                                                             19.2 20.0
                                                                                                                                                                                                        15.4 23.4
                                                                                                                                                                              22.8          16.6
the population ageing, both past mobility and future                                                                                                                  22.9           23.5      16.521.9                                    26–
prospect of migration are declining slowly. The                                                                                                          21.7
                                                                                                                                                                 20.2        25.8 27.5
                                                                                                                                                                                       23.8 25.1
                                                                                                                                                                                                                                           24–26
                                                                                                                                                                      25.9
most frequent reasons for migration are housing                                                                                                       23.8                                                                                 22–24
                                                                                                                                                                      30.0                                                                 20–22
related reasons, work related reasons and change                                                                                                               28.8
                                                                                                                                                                                                                                           Less than 20 (%)
in marital status. Those who currently live in the                                                                                                                            0                             500km
                                                                                                                                                                                                                                           No survey
same prefecture as that of their birthplace account
for 68.6 per cent of the total respondents, with the
percentage being relatively lower in the Tokyo area.

The National Survey on Social Security and People’s Life
Japanese society is undergoing population ageing and changes in household structures at an unprecedented speed.
In order to maintain the long-term sustainability of our social security system, it is necessary to implement a series
of reforms while also keeping in mind a delicate balance of self-help, mutual-help (by family members) and public
help. The National Survey on Social Security and People’s Life is conducted to understand the challenges people face
regarding their living conditions, and how they cope with them by supporting each other – through family members
and within communities.

●Percentage of those who answered “No” as to whether                                                                         ●Frequency of conversation: by household (hh) type
 there was someone they could rely on for financial                                                                           (persons aged 65 and above)
 assistance in an emergency or to consult with on                                                                            Among elderly persons aged 65 and above, most have conversations
 important matters (persons aged 18 and above)                                                                               with someone at least every day. However, among elderly men who live
Percentage of those who answered “No” as to whether there was someone                                                        in single-person households, 16.7% have conversation less than once in
they could rely on for financial assistance in an emergency is high in                                                       two weeks.
single-parent households and low-income households with children.
Also, the percentage of those who answered “No” as to whether there was
someone they could consult with on important matters is high in single-
parent households. These results are used as indicators in the Outline of
Measures against Child Poverty. (Here, low-income household refers to
those with the 1st to 3rd deciles of equivalent disposable income.)

                                                        30                                                                                                100

                                                                                                                                                          90                                                           Men (single-person hh)
   as to whether there was someone they could rely on

                                                                                     Single-parent households
                                                             25.9%
                                                        25                           1st to 3rd deciles of equivalent                                                                                                  Men (couple-only hh)
                                                                                                                                                          80
         Percentage of those who answered “No”

                                                                                     disposable income
                                                                                                                                                                                                                       Women (single-person hh)
                                                                                     All samples                                                          70
                                                                     20.4%
                                                                                                                              Percentage of individuals

                                                        20                                                                                                                                                             Women (couple-only hh)
                                                                                                                                                          60
                                                                             16.2%
                                                        15                                                                                                50

                                                                                                                                                          40
                                                                                       8.9%
                                                        10
                                                                                                                                                          30
                                                                                               7.2%    7.2%
                                                                                                                                                          20
                                                        5
                                                                                                                                                          10

                                                        0                                                                                                  0
                                                             Financial assistance        Consultation on                                                                Every day          Once every             Once every            Less than once
                                                               in an emergency          important matters                                                                                   2-3 days               4-7 days               in 2 weeks

                                                                                                                                                                                                                                                          8
National Institute of Population and Social Security Research
The National Survey on Family in Japan
    Accompanied by low fertility rates and population aging, the family in Japan is undergoing major changes in its structure
    and functions, including the increase in dual income families and single-person households. The National Survey on Family
    in Japan examines the current status and changes in functions of the family, such as childbearing, child-rearing, financial
    support and caring of elderly parents, as well as the factors behind these changes. As a comprehensive survey of families
    and households, this survey offers valuable data, which are used as basic references for drawing up various policies.

    ●Changes in the percentage of those who agree and disagree with ideas on gender roles, by survey round
    The attitude toward gender roles has changed over the last decade, and it has become clear that there is support for equally sharing housework and child-
    rearing in particular.                                                                                                                            (%)
                                                                  100                              50                             0                                         50                     100

                                            4th survey (2008)                                     6.7                  41.0                      38.7                   13.6
    After marriage, the husband should work
                                            5th survey (2013)                                      5.4                 39.5                      39.2                    15.9
    outside the home while the wife should                                                               4.1             34.0                    40.1                      21.8
                                            6th survey (2018)
    concentrate on housework
    Mothers with children under three-years   4th survey (2008)                      43.9                          42.8               10.3       3.0
    old should devote themselves to           5th survey (2013)                       28.6                       48.7                   16.8             5.9
    child-rearing and not hold a job          6th survey (2018)                         23.4                     47.8                    19.9                  8.9

                                              4th survey (2008)                   24.9                         57.6                    16.1        1.5
    Husbands should share housework and       5th survey (2013)                    23.3                        57.2                     17.6        1.9
    child-rearing equally
                                              6th survey (2018)                   28.6                          55.1                   14.7        1.6

                                              4th survey (2008)                      25.4                       52.4                    17.7              4.5
    The father should make the final
    decision on important family matters      5th survey (2013)                        19.4                     52.2                     21.8               6.6
                                              6th survey (2018)                           14.5                   49.9                     25.2                       10.3

    When work and family matters              4th survey (2008)                           14.3                  53.5                       28.4                  3.7
    coincide, husbands should give            5th survey (2013)                           13.1                  53.9                       29.6                   3.5
    priority to their work                    6th survey (2018)                             10.7                 51.4                       32.9                     4.9

                                              4th survey (2008)                           26.4                   48.9                   19.2              5.5
    Boys should be raised to be manly and     5th survey (2013)                            15.7                 51.5                      25.2                   7.6
    girls, feminine
                                              6th survey (2018)                                   10.3            46.1                      30.9                 12.7

                                                                                 Completely agree              Somewhat agree                  Somewhat disagree                  Completely disagree

    The National Survey on Household Changes
    The structure of households in Japan is undergoing significant changes. These changes include not only the expected
    decline in the number of total households, but also the increase in one-person households, couple-only households,
    and single parent households. The National Survey on Household Changes attempts to capture the detailed process of
    formation, expansion, compression and dissolution of households. Such data on household dynamics are difficult to find
    in other surveys, and the results are utilized to project the number of households in the future and for policy purposes.
    ●Percentage of empty nest * households by age of the head of the household
                             ( )

     (%)
      35                                                                                                                   The figure on the left shows the percentage of empty nest(*)
                                                                             5th survey (2004)                             households that formed in the past five years by age of the
                                                       29.2                                                                head. The 7th survey showed a decrease in the groups of
      30                                                                     6th survey (2009)
                                                                                                                           those in their 50s compared with previous surveys, while
                                              26.6                           7th survey (2014)
                                                                                                                           there was a marked increase of a similar type in groups aged
      25                                                                                                                   60 to 74, which shows a consequence of the delay of children
                                                                                                                           leaving parental home.
                                                                  21.0
               19.4
      20
                                                                                          16.7
                                    15.5
                                                                            15.0
      15

                         9.5
      10                                                                                                 8.7

      5

      0
           Total (50+) 50–54    55–59       60–64    65–69    70–74      75–79      80–84            85+

    (*) Empty nest refers to a household which consisted only of parents after their child(ren) left home to work or to get married, etc.

9
Major Research Projects
1. R
    esearch for a society in which everyone is able to participate
                                 A Comprehensive Study on the Realization Strategy of Japan’s Plan for Dynamic Engagement of All Citizens
                                 (from FY2017) [In-house project]
A key concept toward realizing the Plan for Dynamic Engagement of All Citizens is to create a “virtuous cycle of
sustainable growth and distribution driven by inclusion and diversity.” Thus, it is important to enhance support for those
who have difficulties in social participation, which includes those who are raising children or are caring for the elderly.
     This research project studies the circumstances in which support is needed for persons who do not have the means
to support themselves, including cases where there are barriers to social participation and also those facing financial
hardship, those with a heavy burden of daily household chores, and those with inconsistent home care. The project
researches ideal ways of implementing various measures from an empirical perspective on 1) the inclusion of young
people, 2) support for children and child-rearing, and 3) the inclusion of persons with disabilities, by examining the
current state of lifestyle support needs and their factors.

         Empirical Research on Inclusion of Younger Generations
A comparative analysis on the support needs of the “employment Ice Age” generation has been implemented, based on
group interviews targeting those aged from 36–45 years old, 20–35 years old, and 46–60 years old, respectively as of
2017. The research also identifies the actual situation of consultation from counselors of the same generation from the
consultation desk for services and support for needy persons and studies the issue of support to stabilize their lives. The
table below illustrates the difference in the important livelihood support needs by regions in which people of the “Ice
Age” generation are living.
● Priorities of livelihood support needs in the non-regular employment “employment Ice Age” generation (unmarried) group
                                                             Outside the 23 wards of
        Region                           23 wards of Tokyo                                                 Kyoto                                           Sendai
                                                                     Tokyo

                                   1        Livelihood           Income stability                                                             Preparation of laws for companies
                                                                                           “Society in which it is easier to work”
 Rank of importance of support

                                                                                                      and “work style”                     Requests regarding working environment
                                   2          Health                 Wages
                                                                                                                                                        and work style

                                                                                                                                               Requests for temporary staffing/
                                   3        Healthcare             Health first                       New work style
                                                                                                                                                  non-regular employment

                                   4           Work          Workplace environment                   Worker training                                Child-rearing support

                                                                                       “Workplace where it is easy to take maternity
                                   5         Education          A helping society           leave and childcare leave system”                Support for birth and child-rearing
                                                                                                  and “nursery school”

Source: National Institute of Population and Social Security Research, “Comprehensive Research aimed at Realizing the ‘Plan for Dynamic Engagement of
         All Citizens: Report on Group Interviews Relating to the Support Needs of the Employment Ice Age Generation,” 2019, p. 59.

     Empirical Research on Support for Children and Child-rearing
This research quantitatively and qualitatively analyzes the records of abuse consultations, which detail the circumstances
of children, guardians, households, etc. before and after the occurrence of abuse, and examines the circumstances
leading to difficulties in rearing children and issues of the provision of support. The table below shows the variation in
the items of the consultation records of the surveyed child counseling centers A-F, H, I.
● Comparison of basic information in child abuse consultation records across the surveyed child counseling centers
   ( ○ indicates that there is a description in the document)
                                                                                  A        B              C              D             E            F             H                I

   Name of child                                                                  〇        〇              〇              〇             ○           ○              ○               ○

   Gender of child                                                                〇        〇              〇                            ○           ○              ○               ○

   Date of birth / age of child                                                   〇        〇              〇              〇             ○           ○              ○               ○

   Registered domicile of child                                                   〇                                                    ○           ○              ○

   Head of registered domicile of child                                           〇

   Current address of child                                                                ○              ○                            ○           ○              ○               ○

   Telephone No. of child                                                                  ○              ○                            ○

   Child’s possession of Special Education Record Book or
                                                                                           ○              ○                                        ○              ○               ○
   Handbook for the Physically Disabled and severity level

   History of child                                                                                                      ○

   Family composition (name, date of birth, age, education,
                                                                                           ○              ○              ○             ○           ○              ○               ○
   employment, cohabitating or separated, etc.)

Source: Hisao Endo, Masato Noda, Kota Toma, supervisor, National Institute of Population and Social Security Research, ed., “Roles and Issues of Child
         Guidance Centers in Japan: Analysis of Support, Cooperation and Collaboration Based on Abuse Couseling Record Documents,” University of
         Tokyo Press, 2020, p. 188.
                                                                                                                                                                                       10
2. Demographic and interdisciplinary analysis of Japan’s longevity
           Modeling and Comprehensive Analysis of Population, Economy and Society of Ultra-Longevity (FY2020–2022) [In-house project]

     The life expectancy in Japan has grown significantly in the latter half of the 20th century, and Japan now boasts one of the
     longest lifespans in the world. According to the “Population Projections for Japan: 2016-2065 ,” the life expectancy is projected
     to increase.
           The National Institute of Population and Social Security Research has conducted demographic and interdisciplinary
     analysis of Japan’s longevity. With the increase of the life expectancy, the Institute conducts research relating to the
     comprehensive data analysis and modeling of demographics, the economy, and the ultra-longevity society, such as promoting
     research on the relationship between the development of extended longevity in Japan, one of the world’s countries with the
     longest-lived citizens, and healthy life period, such as the extended healthy life expectancy. Through this research, the Insitute
     seeks remedies for the coming hyper-aged society, and disseminates our research within Japan and abroad.

     ●Japanese Mortality Database
      All Japan: Life Table Data Series                                                                                                         The Institute has developed for the first time
                                               Available Dates                             Age interval x Year interval                         in Japan the Japanese Mortality Database,
                                                                   1x1          1x5           1x10           5x1            5x5         5x10    a comprehensive reorganization of Japan’s
      Period Data
                                                                                                                                                mortality table, which is consistent with the
      Births                                     1947-2016        1 year
                                                                                                                                                inter nationa lly renow n Human Mor ta lit y
                                                                                                                                                Database. The database has been published on
                                                                                                                                                our Japanese and English websites.
      Deaths                                     1947-2016         1x1          1x5           1x10            5x1            5x5        5x10

      Deaths by Lexis triangles                  1947-2016         1x1

      Population Size                            1947-2016        1 year                                    5 year
      (Inferential statistics: Jan. 1)

      Exposure-to-risk                           1947-2016         1x1          1x5           1x10            5x1            5x5        5x10

      Death rates                                1947-2016         1x1          1x5           1x10            5x1            5x5        5x10

      Life tables

        Females                                  1947-2016         1x1          1x5           1x10            5x1            5x5        5x10

        Males                                    1947-2016         1x1          1x5           1x10            5x1            5x5        5x10

        Total (both sexes)                       1947-2016         1x1          1x5           1x10            5x1            5x5        5x10

      Life expectancy at birth                   1947-2016        1 year     5 year          10 year

     ●Organizing long-term series statistics on causes of death (E.g.: heart disease)
     120000                                                                                                                                     In general, when the ICD* is revised it becomes a
                                                                                                                                                completely separate system and the figures have no
     100000
                                                                                Step 1: Elimination of the ICD-9 application                    continuity. For example, there is a discontinuity in
                                                                                        period series using an original method
                             ICD-9 original
                                                                                        (modification of discontinuity from 1993                the number of deaths due to heart disease from 1993
                                                                                        to 1994)
                                                                                                                                                to 1995 when looking at the number of deaths due to
     80000
                                                                                Step 2: Re-classification of ICD-9 Codes into                   heart disease in Japan. This seems to be due to the in-
                                                                                        ICD-10 using HCD method (modification
                                                                                        of discontinuity from 1994 to 1995)
                                                                                                                                                fluence of the WHO’s recommendation to “not record
     60000                                                                                                                                      only heart failure and other ailments ‘heart failure’
                                                                                                                                                as the condition just before death” and due to the re-
                                                                                                                                                vision of the ICD (introduction of ICD-10). Therefore,
     40000
                                  Effects of attention                                                                                          an attempt to rearrange the statistics based on the old
                                                                                                             ICD-10
                                  on heart failure                                                                                              classification into a classification based on ICD-10 has
     20000                                                                                                                                      been made by the Human Cause-of-Death Database
                                                      ICD-9 modified                                                                            (HCD). This project has cooperated with HCD.
            0                                                                                                                                   * ICD is the International Statistical Classification of Diseases and
            1980                    1985                 1990              1995                  2000                     2005           2010       Related Health Problems, provided by the WHO. Statistics on the
                                                                                                                                                    causes of death in Japan and other countries around the world are
                                                                                                                                                    basically divided according to this classification.
     ●Population by subjective health obtained from life table analysis
                                                                 2013 (Female)                                                                  In examining the subjective health of women by age,
       100000                                                                                                                                   the most common health status is “not bad,” but not
        90000                                                                                                                                   “relatively poor.” This is thought to be because when
        80000
                                                                                                                                                health levels deteriorate, women may be admitted to a
                                                                                                                     Relatively
                                                                                                                     poor                       facility or hospital or die. Comparing 2001 and 2013,
        70000                                                                                                                                   “relatively good” decreased for both men and women
                                                                                                                     Not bad
        60000                                                                                                                                   in their 50s and early 60s, while “relatively poor” for
                                                                                                                     Relatively good
        50000                                                                                                                                   both men and women increased in their early 80s.
                                                                                                                     In a facility or
                                                                                                                     hospital                   From these results, it can be inferred that up to the
        40000
                                                                                                                                                age of 60, the proportion of people with good health
        30000                                                                                                                                   decreases, which means the health level deteriotates
        20000                                                                                                                                   ne gat ively, wh i le for p e ople i n t hei r 80 s, t he
        10000                                                                                                                                   proportion of those in poor health increases, which
                                                                                                                                                means the health level deteriorates more severely .
                0
                    40       45       50    55      60       65     70     75         80     85        90      95      100

                                                             Years of Age

11
3. Amid the massive immigration inflow, shedding light on the dynamics of
   emigration pressure from Asian countries
   Survey on Emigration Pressure of Asian Countries (FY2019–2020) [In-house project]

Against the backdrop of strong demographic pressure and the immaturity of their domestic labor markets, Asian
countries are among the most active regions in the world for sending labor beyond their borders, and Japan serves as an
attractive candidate as a destination. In recent years in particular, there is growing interest in labor from Asian countries
as Japan has been accepting migrant labor from abroad due to its own labor shortage caused by low fertility.
     However, even in international immigration research, there is still much that is unknown as there is still little
collective knowledge about such labor migration from Asian countries.
     Given this situation, this project aims to clarify the following points on the movement of labor from Asian countries
to other countries.
     First, it summarizes the policies of Asian countries with regard to sending labor beyond their borders.
     Second, it identifies the market structure of private brokerage companies (agencies, agents, sub-agents, brokers) in
each country.
     In order to understand these points, the project conducted a survey in 2019 of China, Vietnam, and Nepal based
on their circumstances of sending labor to Japan and the extent of their socio-economic development. As a result, it is
becoming evident what kinds of educational backgrounds in each country are driving international migration to Japan
and through what kinds of routes in each country, such as technical training and studying abroad, each international
migration is occurring.
     In addition to these countries, a survey of Indonesia, the Philippines, and Myanmar is planned in 2020.

●Aim of surveys

         (1) What kinds of people, (2) For what purpose, (3) What pathways do they take to migrate?

1. Population dynamics           2. State of migration             3. Structure of                   4. Future
  and macro-economic               of international labor            intermediary services             developments
  situation                                                          for laborers                      in international
                                                                     and students                      labor migration

 ■ Population                      ■ Policies and                   ■ Structure and                   ■ Sending labor to
   dynamics and future               systems for sending              pathways of                       Japan and
   estimates                         labor forces                     intermediary                      possibility of
 ■ Economic situation              ■ Characteristics of               services and actors               competition with
   and economic                      migrants                       ■ Cost structure of                 other destination
   disparity with Japan                                               international migrant             countries
                                   ■ Purpose of
 ■ International                     migration                        labor and students
   industry and                    ■ Role and expecta-
   domestic                          tions of government
   employment

                                     (1) What kinds of
   State of pressure                                                                                        Will Japan
                                       people and (2)                (3) What pathways?
     to send labor                                                                                         be chosen?
                                    for what purpose?

 The situations of:                Are there differences in         Are there differences in          Future development of:
   Population estimates            destination and                  intermediary agencies               Expectations of new
   Stage of economic               method (labor/study              and pathways by?                    status of residence,
   development                     abroad) depending on                Students                         “Specified Skilled
   Enrollment rate in              the situations of:                  Labor (skilled)                  Worker”
   higher education                  Home country                      Labor (technical                 Position of Japan
   Unemployment rate                 Education level                   intern training)                 among numerous
                                     Sex                                                                destinations
                                     A will to migrate

                                               Main perspective of analysis

                                                                                                                            12
4. Big data utilization in the health promotion measures of local governments
          Project for the promotion of evidence-based policy-making in the health sector by local governments using
          the claims data for health and long-term care insurance (FY2020) [In-house project]

     In Japan, the Ministry of Health, Labor and Welfare and the All-Japan Federation of National Health Insurance
     Organizations are preparing data on medical examinations, healthcare, and long-term care. While it is expected that
     prefectures and municipalities will implement health projects using this data (Data Health), the acquisition of analysis
     methods for medical expenses and the accumulation of know-how by local governments are issues for system operation.
          This research project collaborates with the Iwate Prefecture (Iwate Prefecture Citizens’ Plan (2019–2028) “Health
     Promotion Project”) to realize Data Health in all prefectures, including Iwate Prefecture. Specifically, it will use the
     “Iwate Prefecture Medical Big Data” independently constructed by Iwate Prefecture, and the National Health Insurance
     Database System (KDB), to collect evidence for the efficient use of healthcare and long-term care services and provide
     different types of support for the implementation of health projects based on this evidence. The results of this research
     will be disseminated to other prefectures with the aim of realizing nationwide Data Health.

     ●Outline of this research project

                             I. Construct database                                            II. Analysis                                        III. Support for local governments
                       • Support construction of Iwate          • Identification of various health risks (lifestyle-related diseases,           • Provision of evidence to the
                         Prefecture Medical Big Data              dementia, falls/bone fractures, untaken health checkups, etc.)                  prefecture and the health and
          IPSS         • Link KDB data and Iwate                • Identification of health projects that contribute to extending healthy          long-term care insurers
                         Prefecture Medical Big Data              life expectancy (improving the rate of health checkups, long-term             • Support analysis for local
                                                                  care prevention projects tailored to the region, etc.)                          government staff and support
                                                                                                                                                  drafting of plan

                                           Construction of database                                                           Drafting of plan and health project
       Iwate
       Prefecture/     • Iwate Prefecture Citizens’ Plan (2019–2028) Health Promotion                        • Draft plan and health project based on evidence
       health and        Project                                                                             • Realize an efficient health and long-term care system (cost
       long-term       • Construct Iwate Prefecture Medical Big Data (database of                              optimization, improvement of healthy life expectancy)
       care insurers     health/medical/long-term care)

                         Disseminate the knowledge gained from initiatives in Iwate Prefecture to other prefectures in collaboration with Regional Offices of
                         Health and Welfare

     Other Research Projects
     Projects by MHLW Grant
     ● Research on manpower estimation from the perspective of supply and demand to secure human resources for medical and welfare professionals
       (FY2020)
     ● The methods and applications of population/household projections in the era of long-term depopulation and growing global migration (FY2020–
       2022)
     ● Research on analysis and evaluation method development of multiple causes of death under the transformation of population health and disease
       structure (FY2020–2022)
     ● Research on the situation and responses to low fertility and population ageing in China, Japan and Korea (FY2020–FY2022)

     Projects by MEXT Grant
     ● Demography of Sexual Orientation and Gender Identity: Building a Foundation for Research in Japan (FY2016–FY2020)
     ● Panel Survey of Immigrants in Japan (PSIJ) (FY2017–FY2020)
     ● Sociological disability statistics for the measurement of social exclusion against disabled people (FY2018–FY2020)
     ● Research on social stratification, employment, and intergenerational reproduction of social inequality in single parent families (FY2018–FY2020)
     ● Consequences of “welfare-to-work” policies for time use of single mothers (FY2019–FY2021)
     ● Saving behavior of small households: An international comparative study (FY2019–FY2021)
     ● Projection of educational pairing-specific fertility: An application of two-sex fertility model (FY2019–FY2021)
     ● A Comparative Study on Support for Foster Parents between Japan and Italy: aiming to reveal the social background of “Deinstitutionalization”
       (FY2019–FY2022)
     ● Applied microeconomic analysis of living standards of the elderly before and after retirement (FY2019–FY2022)
     ● Study on the background of the diversity of elderly care systems in East Asia (FY2020–FY2022)
     ● Analysis and theory construction for population decline using a generalized Leslie matrix model (FY2020–FY2023)
     ● Empirical research on the effect of satisfying social security and life supporting needs to the continuation of community dwelling (FY2020–FY2024)

     Commissioned Research of Economic Research Institute for ASEAN and East Asia (ERIA)
     ● Health and Long-term Care information in Ageing Asia (FY2019–FY2020)
     Note: T
            he above research projects are conducted by researchers belonging to IPSS.

13
International Cooperation
Organizing the Foreign Scholar Lecture
Series and International Workshops
The Foreign Scholar Lecture Series and International
Workshops are organized to inv ite internationally
renowned researchers in the fields of population and
social security. These seminars and workshops are held
in the IPSS conference room and are open to the public.
From FY2017 to FY2019, special lectures were held on
the European system of integrated social protection
statistics, population projections, family policies, and
poverty measurements. International workshops with
East Asian countries were also conducted.

Promoting International Research
Cooperation
We are engaged in cooperative research based on a
memorandum of understanding with the Korea Institute
for Health and Social Affairs (KIHASA), the French
Institute for Demographic Studies (INED), the Ministry
of Civil Affairs of the People’s Republic of China, and
the Research Institute of Labor and Social Protection,
Mongolia, while we promote information exchanges and
joint research with international organizations such
as the OECD, the World Bank, and the United Nations
Population Fund (UNPFA), along with universities and
research institutes in their respective countries. We also
participate in international scientific conferences on
population and social security, and issue reports.

Receiving Visitors from Overseas
We receive delegations and study tour groups from
around the world and outline the current situation of
population and social security in Japan for them. During
FY2017-FY2019, we received visitors from the Project
on Strengthening the Capacity for Social Insurance
Operation in Mongolia and the Institute of Japanese
Studies, the Chinese Academy of Social Sciences, as well
as visits from countries such as South Korea, Taiwan,
Thailand, the USA, the UK, Germany, the Netherlands,
and others.

Collaborating through International
Organizations on Population and Social
Insurance Issues
We are engaged in ongoing cooperation about issues
on a global scale such as population problems and the
building of an international social security system
through the Commission on Population and Development
held at the UN headquarters, and participation in various
meetings held at the United Nations Economic and
Social Commission for Asia and the Pacific (ESCAP). We
are also offering expertise and data on population and
social security in Japan through participation in expert
meetings held by the OECD.

                                                             14
Seminars
     24th Annual Seminar (January 30, 2020)
     Issues and Future Directions of Regional Policies in the Era of Depopulation
      January 30, 2020
      Hibiya Convention Hall

     Shiro Koike (Senior Researcher, Department of Population Structure
     Research, National Institute of Population and Social Security
     Research)
                                                                                                                                        入場
                                                                                                                                        無料
     
     Hiroshi Matsubara (Professor, University of Tokyo, Graduate School
     of Arts and Sciences)
     Chikako Igarashi (Director, Hokkaido Intellect Tank)
     Yohei Maruyama (Associate professor, School of Design, Sapporo                                                                                   第24回厚生政策セミナー / The 24 th IPSS Annual Seminar
     City University)
     Hirokazu Hasegawa (GIS Center, Policy Department, Niigata City)
     Fumihiko Seta (Associate professor, Department of Urban                                                                               ⼈⼝減少時代における
     Engineering, Faculty of Engineering, University of Tokyo)
                                                                                                                                           地域政策の諸課題と
     
     Toru Suzuki (Deputy Director-General, National Institute of
                                                                                                                                            今後の⽅向性    Issues and Future Directions of Regional Policies
     Population and Social Security Research)                                                                                                                   in the Era of Depopulation

                                                                                                                                                                  1 月30 日
                                                                                                                                                                  2020年              13:00~16:30
                                                                                                                                                                                                           定 員

                                                                                                                                                          日 時                                            200名
                                                                                                                                                                                         木(開場12:30)       事前申し込み
                                                                                                                                                                                                          (先着順)

                                                                                                                                                          会 場     日比谷コンベンションホール
                                                                                                                                                                  〒100-0012   東京都千代田区日比谷公園1番4号

                                                                                                                                       講   師
                                                                                                                                   (国立社会保障・人口問題研究所 人口構造研究部 部長)                  (一般社団法人北海道総合研究調査会 理事長) (新潟市都市政策部GISセンター)
                                                                                                                                    小 池        司 朗                              五十嵐 智嘉子                       長谷川 普 一
                                                                                                                                   (東京大学大学院総合文化研究科 教授)                          (札幌市立大学デザイン学部 准教授)           (東京大学工学部都市工学科 准教授)
                                                                                                                                    松      原      宏                             丸 山      洋 平                  瀬 田    史 彦
                                                                                                                                       モデレーター
                                                                                                                                   (国立社会保障・人口問題研究所 副所長)
                                                                                                                                   鈴       木      透
                                                                                                                                                           JR 線      新橋駅 日比谷口より 徒歩約10分                  丸の内線・日比谷線「霞ヶ関駅」B2出口より徒歩約3分
                                                                                                                                           アクセス                                                東 京メトロ
                                                                                                                                                                                                        千代田線「霞ヶ関駅」C4出口より徒歩約3分
                                                                                                                                                          都営地下鉄      三田線「内幸町駅」A7出口より徒歩約3分

                                                                                                                                                                  主 催:

                                                                                                                                   [お申込み・お問い合せ先]

                                                                                                                                   国立社会保障・人口問題研究所総務課業務係 TEL:03-3595-2984 E-mail:ipss24seminar@ipss.go.jp

                                                                                                                                    社人研        厚生政策セミナー           http://www.ipss.go.jp/seminar/j/seminar24/index.html

     23rd IPSS Annual Seminar                                                                             22nd IPSS Annual Seminar                                 21st IPSS Annual Seminar
     (February 5, 2019)                                                                                   (February 1, 2018)                                       (December 1, 2016)
     “Regional Care Meeting” for the                                                                      International Symposium on                               Visions for the Future Japanese Society
     Future of Medical Care and Long-term                                                                 Longevity - Through Comparison                           and Social Security System - Social
     Care - Strengthen Facilitation Ability                                                               between France and Japan, the Two                        Security System for a Sustainable Society
     to Connect System and Field                                                                          Top Runners of Longevity                                 in the Era of Population Decline -
                                                                  主 催:

       入場
       無料

                         第23回厚生政策セミナー / The 23 rd IPSS Annual Seminar

           医 療・介 護 の未 来を担う
               地 域ケア会 議
           ~制度と現場を繋ぐファシリテーション能力の強化~
       “Regional Care Meeting” for the Future of Medical Care and Long-term Care
            ~ Strengthen facilitation ability to connect system and field ~

               2 月5日
               2019年
                                 13:00~16:20
                                                                   講   師
                                                              (公立大学法人埼玉県立大学大学院保健医療福祉学研究科 兼 研究開発センター 教授)
       日 時                                                        川越 雅弘
                                  火(開場12:30)                  (朝来市地域包括支援センター 主任介護支援専門員)
                                                                  足立 里江
       会 場     日比谷コンベンションホール                                  (函館市保健福祉部地域包括ケア推進課 保健師)
                                                                  古口 奈津子
               〒100-0012    東京都千代田区日比谷公園1番4号                  (豊明市健康福祉部健康長寿課 課長補佐)
                                                                  松本 小牧
       定   員
               200名 事前申し込み(先着順)                               (国立社会保障・人口問題研究所 社会保障基礎理論研究部 部長)
                                                                  山本 克也
                 JR 線      新橋駅 日比谷口より 徒歩約10分
      アクセス                                                        モデレーター
                           丸の内線・日比谷線「霞ヶ関駅」B2出口より徒歩約3分
                東 京メトロ                                        (国立社会保障・人口問題研究所 政策研究調整官)
                           千代田線「霞ヶ関駅」C4出口より徒歩約3分
                都営地下鉄      三田線「内幸町駅」A7出口より徒歩約3分                   藤原 禎一

      [お申込み・お問い合せ先]

      国立社会保障・人口問題研究所総務課業務係                     TEL:03-3595-2984   E-mail:ipss23seminar@ipss.go.jp

       社人研     厚生政策セミナー            http://www.ipss.go.jp/seminar/j/seminar23/index.html

15
Publication, Database
Periodicals

                                                                                                                                                                     社会保障研究
■ Journal of Social Security Research                                                                                                                                                             ISSN   0387-3064                        人口問題研究資料第342号                                            ISSN 1347-5428

                                                                                                                                                  社 会 保 障 研 究
                                                                                                                                                                                                                                          2020年1月31日                                               Population Research Series, No.342
                                                     JOURNAL OF SOCIAL SECURITY RESEARCH

  (SYAKAI HOSYO KENKYU)
                                                                                                                                                                                                                                                                                                   January 31, 2020
                                                          (SHAKAI HOSHO KENKYU)
                                                                       Vol.4 No.1                2019

  Publishes papers on social security
                                         Foreword
                                           Divorce/Bereavement and Social Security …………………………… Yoshimi KIKUCHI 002
                                         Special Issue: Divorce/Bereavement and Social Security
                                           Divorce and Bereavement with Spouse and the Actual Conditions of Children’s Lives
                                                   …………………………………………………………………… LEE kyoung won 004

  including social development, welfare

                                                                                                                                           Vol.4 No.1, 2019
                                           Living Conditions of Divorced or Widowed Elderly Women
                                                                                                                                                                              離死別と社会保障
                                                   ………………………………………………………………Chizuka HAMAMOTO 020

                                                                                                                                                                                                                                                       人口統計資料集
                                                                                                                                                                               ������������������� 菊池      馨実
                                           On Determination of Property Transfer and Duty to Support while Divorced or Bereaved
                                                   ……………………………………………………………… Miyoko MOTOZAWA 033

                                                                                                                                                                              特集:離死別と社会保障

  state themes and social security of other
                                           An Adult Child's Obligation to Support Parents and Social Security:
                                                   Focusing on Public Assistance ……………………………………… Sayaka DAKE 048
                                           Some Problems in Child Maintenance after Divorce
                                                                                                                                                                              配偶者との離死別と子どもの生活状況                                                            LATEST DEMOGRAPHIC STATISTICS
                                                   and the One-Parent Family Payment in Ireland ……………… Yukihiro MASUDA 062
                                           Current Status and Issues of Child Support System in Japan                                                                          �������������������� 李       璟媛
                                           ―In Comparison with Child Support System in New Zealand―                                                                           配偶者との離死別と高齢者の生活状況
                                                                                                                                                                                                                                                                              2020
  countries (published four times a year).

                                                                                                                                                  (通巻第十二号)
                                                   …………………………………………………………………… Aya UMEZAWA 079                                                                                  �������������������� 濱本知寿香
                                         Social Security and Law
                                           Issues of Disability Pension System ……………………………………… Motoo FUKUDA 092                                                               夫婦の離死別による財産移転と扶養義務
                                           Disability Pension for People Working with Mild Intellectual Disability … Motoo FUKUDA 097                                          �������������������� 本澤巳代子
                                         Articles                                                                                                                             子の親に対する扶養義務と社会保障
                                           Analyzing Long-Term Care Insurance Improvements to Interregional Economic Disparity                                                ―生活保護を中心に―
                                                   ……………………………………… Ryoji HASEGAWA and Masaya YASUOKA 104                                                                       �������������������� 嵩     さやか

■ Journal of Population Problems (JINKO
                                         Report and Statistics
                                           “Unterhaltsvorschuss” in Germany …………………………………… Toshihide IKOMA 119                                                                アイルランドにおける離婚後の養育費と社会保障給付
                                           A Study on the Creation of the Publicly Funded Healthcare System for Liver Cancer and                                              ―法制度の特徴と制度改革の提言―
                                                   Decompensated Liver Cirrhosis …………………………………… Toshiki ONO 128                                                                �������������������� 増田 幸弘
                                           International Research Cooperation with The Center of Policy Research(CPR), Ministry of Civil                                      日本における養育費履行システムとその可能性

  MONDAI KENKYU)
                                                   Affairs, China ………………………………………………… Katsuhisa KOJIMA 137
                                                                                                                                                                              ―ニュージーランドにおける養育費制度を参考に―
                                           Housing Policy and Measures for Empty Houses in Germany
                                                                                                                                                                               �������������������� 梅澤        彩
                                                   ………………………………………………………………………Chikako MORI 139
                                           “Marriage, Divorce and Remarriage in Japan: Trends, Causes and Social Implications”

                                                                                                                                                  国立社会保障・人口問題研究所
                                                   (2013 ~ 2017) …………………………………………………… Miho IWASAWA 142

  Publishes articles on population, births,                                                                                                                        第4巻
                                           Research on Poverty in Japan ……………………………………… Kuriko WATANABE 146
                                         Book Review
                                           How to Live the "Third Age": Creating Advanced Aging Society together with Senior Citizens
                                                   ………………………………………………………………………… Tami SAITO 148
                                                                                                                                                                   第1号
                                           The Challenges of Aging Age of Employment and Retirement ………………… Itaru SATO 152
                                                                                                                                                                   2019 年

  deaths, migrations and households, and
                                                                                                                                                                                                                                                             国立社会保障・人口問題研究所
                                                                      Edited by                                                                                                                                                                        National Institute of Population and Social Security Research
                                            National Institute of Population and Social Security Research                                                                                                                                                                     Tokyo, Japan
                                                (KOKURITSU SHAKAI HOSHO・JINKO MONDAI KENKYUSHO)

  related statistical materials (published four
  times a year).
                          表紙(目次)Vol.4-No.1_2k.indd   すべてのページ                                                                                                                                                      2019/06/19   10:19:28

■ Population Statistics (JINKO TOKEI
  SHIRYOSYU)
  Reports a selection of fundamental
  statistics for a contribution to research
  on population related issues by showing
  the current state and development trends
  (published annually).

Reports, Research Series & Survey Series
The results of research projects are published
as a series and widely distributed.
■ Population Trends and the Future of the
  Japanese Society (April 2017)
■ Livelihood Support in Local Communities
  (February 2018)
■ Roles and Issues of Child Guidance Centers
  in Japan (March 2020)

■ Detailed reports on the surveys and estimates are published and available to download on our website.

Library
There are many statistical publications, especially on demographics and
social policy, in the collection.
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search at the following link: www.ipss.go.jp/tosho/tosho-lx.html. Valuable
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use.

                                                                                                                                                                                                                                                                                                                             16
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