Monetary Valuation of Unpaid Work in 1996
-Japan-
May 21, 1998
Part revised: November 5, 1998
Department of National Accounts
Economic Research Institute
Economic Planning Agency
Occupations Corresponding to Respective Types of Unpaid Work
| Type of activity | Corresponding occupation |
| Cooking | Student chef |
| Cleaning | Building cleaning |
| Laundry | Laundryman |
| Sewing and knitting | Sewing machine operator |
| Miscellaneous family affairs | Janitor |
| Shopping | Janitor |
| Child care | Kindergarten teacher |
| Elderly/nursing care | Nurse assistant |
| Volunteer work | Weighted average for service industries |
( billion yen, % )
|
|
|||||||
| Total | Percentage of GDP | Total | Percentage of GDP | Total | Percentage of GDP | ||
| 1981 | 257,962.9 | 53,264 | 20.6 | 48,538 | 18.8 | 37,339 | 14.5 |
| 1986 | 335,457.2 | 71,828 | 21.4 | 62,857 | 18.7 | 49,037 | 14.6 |
| 1991 | 458,299.1 | 98,858 | 21.6 | 84,027 | 18.3 | 66,728 | 14.6 |
| 1996 | 499,861.0 | 116,115 | 23.2 | 99,776 | 20.0 | 76,069 | 15.2 |
| Salary and wages |
Assessed value as a percentage of salary and wages |
(Reference) Comparison of working hours (per capita/day) |
|||||
|
OC |
RC-S |
RC-G |
Hours of unpaid work |
Hours of paid work |
Unpaid work/paid work |
||
| 1981 | 124,186.0 | 42.9 | 39.1 | 30.1 | 2H12 | 4H35 | 48.0 |
| 1986 | 157,112.7 | 45.7 | 40.0 | 31.2 | 2H15 | 4H27 | 50.6 |
| 1991 | 212,337.6 | 46.6 | 39.6 | 31.4 | 2H16 | 4H20 | 52.3 |
| 1996 | 239,377.8 | 48.5 | 41.7 | 31.8 | 2H13 | 4H10 | 53.2 |
(Note) Data on the number of working hours represent the weekly averages per capita per day, that have been calculated using total average number of hours (whole week) worked by workers age 15 or over by activity type, which are shown in the "Survey on Time Use and Leisure Activities." People not engaged in a relevant activity are also included in the calculation of averages.
The "number of hours of paid work" is the number of hours of "work" in the above-mentioned survey. This applies elsewhere in this report. (2) Assessed value of unpaid work by activity type An analysis of assessed value of unpaid work by activity type in 1996 shows that the assessed value of cooking, a sub-section of housework, is the largest at 23 trillion yen to 34 trillion yen, accounting for about 27% to 31% of the total assessed value. This reflects the large number of working hours. Cooking is followed by shopping, miscellaneous family affairs, and laundry. The assessed value of unpaid work that everyone needs to perform in their daily life is higher. In contrast, proportions of elderly and nursing care and child care to the total assessed value are low, because there are people who need to offer such services and those who do not. Nevertheless, such proportions will be higher for people who need to be engaged in such work (refer to "(4) Assessed value of unpaid nursing care and child care"). The assessed value of volunteer work is about 2 trillion yen to 4 trillion yen, accounting for only a small portion in the total assessed value of unpaid work. Its percentage of GDP is less than 1%.
(3) Assessed value of unpaid work by gender
1.Breakdown by gender of total assessed value of unpaid work An analysis of the total assessed value of unpaid work by gender in 1996 shows that women account for around 85% to 89% of the total, proving that the majority of unpaid work is done by women. Nevertheless, a year-to-year comparison reveals that the ratio of men is gradually rising. Table 4: Breakdown of Total Assessed Value of Unpaid Work by Gender ( billion yen, %)|
OC |
RC-S |
RC-G |
||||
| Men | Women (component ratio) | Men | Women (component ratio) | Men | Women (component ratio) | |
| 1981 | 5,082 | 48,182 (90.5) | 3,465 | 45,073 (92.9) | 2,395 |
34,945 (93.6) |
| 1986 | 8,150 | 63,678 (88.7) | 5,373 | 57,485 (91.5) | 3,844 |
45,192 (92.2) |
| 1991 | 14,528 | 84,330 (85.3) | 9,724 | 74,303 (88.4) | 7,044 |
59,684 (89.4) |
| 1996 | 18,011 | 98,104 (84.5) | 13,016 | 86,761 (87.0) | 8,673 |
67,396 (88.6) |

3.Annual assessed value of unpaid work per capita by gender
An analysis by gender of per capita assessed value of unpaid work in 1996 shows that the assessed value for women is 5 to 7 times larger than that for men. Using the OC method that gives the highest assessment, per capita assessed value of unpaid work done by men is around 0.35 million yen, compared with the equivalent value for women of around 1.8 million yen. Nonetheless, a year-to-year comparison reveals that the difference between men and women is gradually becoming smaller. An analysis by gender of the total of assessed value of unpaid work (OC method) and market wages, which can be regarded as the annual assessed value of all types of work, shows that the figure for men is slightly higher. Nonetheless, total hours spent on paid and unpaid work (total working hours) are longer in women. Table 6: Annual Per Capita Assessed Value of Unpaid Work by Gender (10 thousand yen)| OC | RC-S | RC-G | ||||
| Men | Women | Men | Women | Men | Women | |
| 1981 | 11.6 | 103.8 | 7.9 | 97.1 | 5.5 | 75.3 |
| 1986 | 17.4 | 128.7 | 11.5 | 116.2 | 8.2 | 91.4 |
| 1991 | 29.2 | 160.7 | 19.6 | 141.6 | 14.2 | 113.8 |
| 1996 | 34.9 | 179.8 |
25.2 |
159.0 |
16.8 |
123.5 |
| Women/Men (1996) | 5.2 | 6.3 | 7.4 | |||
| Market wage | Total | |||
| Men | Women | Men | Women | |
| 1981 | 282.4 | 156.6 |
294.0 |
260.4 |
| 1986 | 337.0 | 190.7 |
354.4 |
319.4 |
| 1991 | 408.7 | 234.8 |
437.9 |
395.5 |
| 1996 | 439.3 | 265.6 |
474.2 |
445.4 |
| Unpaid work | Paid work |
Total working hours |
||||
| Men | Women | Men | Women | Men | Women | |
| 1981 | 0H17 | 4H1 | 6H4 | 3H11 |
6H21 |
7H12 |
| 1986 | 0H22 | 4H2 | 5H58 | 3H2 |
6H20 |
7H4 |
| 1991 | 0H30 | 3H57 | 5H46 | 2H59 |
6H16 |
6H56 |
| 1996 | 0H31 | 3H50 | 5H36 | 2H48 |
6H7 |
6H38 |
| Average | 15-19 years old | 20-24 years old | 25-29 years old | 30-34 years old | 35-39 years old | |||
|
Women |
Married | Working | 199.3 | 54.8 | 132.9 | 183.3 | 244.8 | 243.2 |
| Jobless | 303.9 | 212.6 | 283.7 | 355.2 | 410.4 | 409.6 | ||
| Not married | 76.5 | 18.5 | 35.8 | 54.7 | 86.1 | 107.2 | ||
| Men | Married | Working | 36.6 | 14.4 | 30.5 | 33.3 | 41.4 | 45.3 |
| Jobless | 68.4 | 0.0 | 86.2 | 29.6 | 69.9 | 96.9 | ||
| Not married | 23.9 | 9.2 | 14.5 | 17.3 | 23.9 | 28.8 | ||
| 40-44 years old | 45-49 years old | 50-54 years old | 55-59 years old | 60-64 years old | 65-69 years old | |||
| Women | Married | Working | 226.9 | 206.7 | 186.4 | 170.3 | 152.3 | 151.7 |
| Jobless | 369.8 | 331.0 | 316.6 | 280.1 | 244.7 | 232.0 | ||
| Not married | 125.6 | 130.1 | 135.3 | 138.1 | 148.4 | 152.3 | ||
| Men | Married | Working | 40.9 | 34.6 | 35.7 | 33.6 | 30.7 | 31.4 |
| Jobless | 85.0 | 69.4 | 68.3 | 100.4 | 86.1 | 72.0 | ||
| Not married | 37.2 | 50.1 | 66.0 | 77.7 | 89.3 | 77.7 | ||

2.Assessed value of child care for married couples
Married couples with children (living separately from grandparents) were classified into dual-income families and those with jobless wives, for analysis of assessed value of child care for married couples. A comparison between dual-income families and those with a jobless wife shows that the assessed value of unpaid work for dual-income families is around 60% of that for those with a jobless wife. In particular, the assessed value of child care in dual-income families is significantly lower, representing around 22% of the figure for those with a jobless wife. It is assumed that dual-income families are increasingly consigning unpaid work, mainly child care, to external parties such as a day-care center. At the same time, it is also possible that wives tend to leave their jobs when they have infants or small children who need maximum care and the families cease to be dual-income. Table 9 shows the working hours of paid and unpaid work of husbands and wives by family type. Table 9: Annual Per Capita Assessed Value of Unpaid Child Care and Per Day Working Hours by Family Type (in 1996, Simplified RC-S Method) ten thousand yen; hours, minutes| Child care | Housework | Unpaid work | Paid work | Total working hours | ||
| Dual-income families | Husbands |
1.3 (0:03) |
4.4 (0:07) |
18.7 (0:24) |
(7:26) |
(7:50) |
| Wives |
14.8 (0:19) |
134.7 (3:35) |
184.9 (4:37) |
(4:30) |
(9:07) |
|
| Total |
17.1 (0:22) |
139.1 (3:42) |
203.6 (5:01) |
(11:56) |
(16:57) |
|
| Families with a jobless wife | Husbands |
6.2 (0:08) |
2.1 (0:05) |
23.6 (0:30) |
(7:12) |
(7:42) |
| Wives |
70.0 (1:30) |
189.2 (5:02) |
312.9 (7:37) |
(0:03) |
(7:40) |
|
| Total |
76.2 (1:38) |
192.4 (5:07) |
336.5 (8:07) |
(7:15) |
(15:22) |
|
| Cooking | Food service industry | Cooking/Food service industry | |
| Assessed value of unpaid work | 26,634 | - | - |
| Service output value | 96,764 | 6.2 |
| Laundry | Laundry industry | Laundry/laundry industry | |
| Assessed value of unpaid work | 12,065 | - | - |
| Service output value | 34,458 | 1,143 | 30 |
(Note 1) Service output value of laundry = Assessed value of unpaid work *2.856 (output value of laundry industryyenwages and salaries of the same industry). The base data have been quoted from the input-output tables for 1990.
(Note 2) The service output value of the laundry industry shows the value finally consumed by households, out of the output value of the same industry. 3."Child care and elderly/nursing care" and "day-care and senior citizens welfare institutions, etc." ( billion yen)| Child care and elderly/nursing care | Day-care and senior citizens welfare institutions, etc. | Child care, etc./welfare institutions, etc. | |
| Assessed value of unpaid work | 11,776 | - | - |
| Service output value | 19,925 | 3,185 | 6.3 |
(Note 1) Day-care and senior citizens welfare institutions, etc. consist of the child welfare business, elderly welfare business, mentally handicapped and physically disabled welfare business, rehabilitation care business, and other social insurance and social welfare mentioned in the "Private Nonprofit Institutions Income and Expenditure Survey 1996," Economic Planning Agency.
(Note 2) Service output value for child care and elderly/nursing care = Assessed value of unpaid work *1.692 (output value of day-care and senior citizens welfare institutions, etc./wages and salaries in day-care and senior citizens welfare institutions, etc.). The base data have been quoted from "Private Nonprofit Institutions Income and Expenditure Survey 1996." (6) Comparison of unpaid work by region The annual per capita assessed value of unpaid work was calculated for each region (under the OC method, data on hours and wages used are both prefectural data). The value obtained was compared with the per capita compensation of employees in the relevant region. The annual assessed value is the highest in the Kinki region, while the percentage of compensation of employees is also the highest in the region. This suggests that people in the region spend many hours on unpaid work while the wage standard is also high. On the other hand, in the Hokkaido and Tohoku regions, where people spend fewer hours on unpaid work, the annual assessed value of unpaid work and the percentage of compensation of employees are the lowest. The time spent on paid work in the region, however, is the longest, a distinction those regions share with the Tokai and Hokuriku regions. Table 11: Comparison by Region of Annual Per Capita Assessed Value of Unpaid Work and Compensation of Employees ( in 1996, OC method) (thousand yen)| Annual assessed value of unpaid work | Compensation of employees (in FY1995) | Percentage of compensation of employees | (Reference) Working hours (per capita/day) | ||
| Unpaid work | Paid work | ||||
| Hokkaido & Tohoku | 881 | 4,344 | 20.3 | 2H6 | 4H24 |
| Kanto & Koshin | 1,261 | 5,661 | 22.3 | 2H13 | 4H13 |
| Tokai & Hokuriku | 1,050 | 4,730 | 22.2 | 2H13 | 4H24 |
| Kinki | 1,273 | 5,436 | 23.4 | 2H23 | 4H1 |
| Chugoku | 1,030 | 4,805 | 21.4 | 2H16 | 4H14 |
| Shikoku | 951 | 4,640 | 20.5 | 2H12 | 4H11 |
| Kyushu & Okinawa | 952 | 4,455 | 21.4 | 2H12 | 4H8 |
| Entire country | 1,094 | 5,089 | 21.5 | 2H13 | 4H10 |
(Note) Compensation of employees consists of "salaries and wages," "employers" contributions to social security schemes, etc. in respect of their employees." Figures for fiscal 1995 ("Prefectural Accounts 1995," Economic Planning Agency) were used, since figures for 1996 were not available.
The working hours for respective regions represent the simple average of the figures for respective prefectures included in the relevant region. (Breakdown of regions) Hokkaido & Tohoku: Hokkaido, Aomori, Iwate, Miyagi, Akita, Yamagata, Fukushima, Niigata Kanto & Koshin: Ibaraki, Tochigi, Gunma, Saitama, Chiba, Tokyo, Kanagawa, Yamanashi, Nagano Tokai & Hokuriku: Shizuoka, Toyama, Ishikawa, Gifu, Aichi, Mie, Fukui Kinki: Shiga, Kyoto, Osaka, Hyogo, Nara, Wakayama Chugoku: Tottori, Shimane, Okayama, Hiroshima, Yamaguchi Shikoku: Tokushima, Kagawa, Ehime, Kochi Kyushu & Okinawa: Fukuoka, Saga, Nagasaki, Kumamoto, Oita, Miyazaki, Kagoshima, Okinawa
However, "unpaid work valued as paid by gender" takes the ratio of paid work to unpaid work separately for men and women and applies the gender specific average pay rates to each. "Valued pay rate for domestic work" and "valued pay rate for industry" apply pay rates more disaggregated by industry and maintain the disaggregation by gender.
Moreover, the scope of unpaid work in the UK is significantly larger than that in Japan. So it is difficult to directly compare the figures of time use in the two nations (see the following reference table).
Therefore, applying the UK's method to Japan after making the scope of unpaid work in Japan as much as close as possible to that in the UK, the total assessed value of unpaid work in Japan is estimated below:
Japan (1996)
time for unpaid work 295 (minutes) / time for paid work 250 (minutes) = 1.18
Total wages and salaries = 239,377.8 billion yen
The total assessed value of unpaid work = 282,465.8 billion yen
62% of GDP (at current factor cost)
There are two main reasons for the significant difference of the percentage of GDP between the two nations. One is that the scope of unpaid work in the UK is larger than that in Japan, even after adjustments. The other is that the ratios of unpaid/paid hours are quite different because the paid working hours are longer in Japan than in the UK. Moreover, the GDP ratio of the wages and salaries is 55% in the UK and 52% in Japan, a factor that has influenced the results slightly.
Acknowledgements
We would like to acknowledge the help of Mr. Uzair Rizki (Office for National Statistics of the UK) who gave us detailed information about the methods used for monetary valuation of unpaid work in the UK and offered useful commentary on an earlier draft.

5. Issues to be Noted Attention needs to be paid to the following issues when making use of our estimates. (1) Significance of non-economic value Unpaid work could frequently have special value or effects for the provider and the beneficiary, because such activities are unpaid and devoted. For example, child care is a form of expression of love by parents for their children, and contributes to the formation of bonds between parents and children. In that sense, unpaid work has, in some cases, non-economic value rather than economic value, in the form of provision of a type of service. Our estimate does not attempt to assess such non-economic value. Monetary valuation under the OC method can be regarded as an estimate that considers subjective valuation by the provider, because the provider chose to spend valuable time on unpaid work. The method, however, does not attempt to value or estimate respect or appreciation by the beneficiary for the unpaid work or effects of housework on the formation of bonds among family members. (2) Problems with the scope of unpaid work The scope of unpaid work is fixed basically in accordance with third-party criteria. Some people, however, argue that the scope should be slightly widened. For example, according to some, "schoolwork" and "studies and researches" should be included in unpaid work, because such activities have some labor elements in that they are conducted in order to improve the potential ability to gain income in the future. On the other hand, some overseas estimates include "Travel" for unpaid work in unpaid work, regarding it as ancillary to unpaid work. Our estimate, however, excluded travel as a whole from unpaid work, as the statistics used did not specify the reasons for the travel, with the exception of commuting. (3) Limitation of time use survey data Our estimate is based on the results of the distribution of time use by people, as given in the "Survey on Time Use and Leisure Activities" conducted every five years by the Management and Coordination Agency. With regard to the monetary valuation of unpaid work, the survey has several limitations, in addition to problems in the handling of "travel," since the purpose of the survey is not to clarify the conditions of unpaid work. One such limitation is that because the "Survey on Time Use and Leisure Activities" does not have categories for some of the activities that are theoretically unpaid work, it is impossible to assess the monetary value of such activities under an independent classification. For example, house maintenance and gardening are regarded as unpaid work and are included in equivalent surveys in other nations. In the "Survey on Time Use and Leisure Activities," however, such activities are included in "housework" or "hobbies and amusements," resulting in possible underestimation of unpaid work compared with other nations. Our estimate gives a breakdown of housework. The "Survey on Time Use and Leisure Activities," however, does not have such a breakdown; therefore, our estimate referred to the "National Time Use Survey" conducted by NHK in this regard. As a result, the assessed value for each sub-section of "housework" is not necessarily accurate. Furthermore, people often engage in two types of unpaid work at the same time. Mothers, for example, do housework while taking care of their children. Therefore, it is desirable to assess such activities in a precise manner, and some of the surveys conducted abroad double-count such activities. The "Survey on Time Use and Leisure Activities," however, covers only main activities, and accordingly, our estimate evaluates only the main activities. (4) Problems with applied wage The OC method uses the average wages for respective genders and age groups. As a result, a disparity in wages between men and women is directly reflected in the assessed monetary value of unpaid work by sex. Because of this, although time spent by women on unpaid work is longer than that spent by men, the difference in the assessed value becomes smaller, or the assessed value for men could turn out to be larger than that for women, because the applied wage for men is higher than that for women. The burden of unpaid work by sex can be more simply revealed by time use data. On the other hand, there are some arguments on corresponding occupations used under the Replacement Cost Method Specialist Approach (RC-S method). Since it is difficult to agree on a single correspondence, we chose occupations on which statistics were available. In addition, wages of occupations or housework employees used under the RC method are lower than those of other types of jobs. Consequently, assessed value under the RC method tends to be lower than that obtained under the OC method. (5) Problems with output valuation In our estimate, the monetary value of unpaid work is obtained by multiplying hours by wage. Because of this, monetary value is high if working hours are long or the applied wage is high, regardless of the quantity and quality of the service actually provided by the relevant unpaid work. The value of service in a market economy should essentially be evaluated by the market price based upon the quantity and quality of the service. In view of this, in the field of monetary valuation of unpaid work, efforts are being made to develop a method to assess the value of the service itself (or output) produced by the relevant unpaid work. With regard to output valuation, some theoretical achievements have been reported abroad, but no method has been established yet. Besides, a considerable amount of base data is necessary for such valuation, a problem that must be addressed in the future. 6. Base Data The outlines of time and wage data that constituted the base for monetary valuation of unpaid work in 1996 are shown below. (1) Time data The base data are the results of a survey on time use published in the "Survey on Time Use and Leisure Activities 1996." Data for sub-sections of "housework" have been calculated by dividing the total hours used for "housework" in the proportion (see Note) that is given in the "National Time Use Survey 1990" (NHK). When the provider is engaged in two or more different types of work at the same time, the hours spent are recorded as those spent on the main activity. (Note) The proportion of time spent on each type of housework has been adjusted in accordance with the survey by NHK in 1995 (aftercode system), to estimate such a proportion in 1996.
(2) Wage data
1.OC method
The base data used were wages per hour by gender and age group, which were obtained by dividing the prescribed wages in respective genders and age groups by the prescribed actual working hours in the relevant category shown in "Basic Survey on Wage Structure 1996."
The average wage for all workers calculated by the same method is 1,749 yen, while the average for men is 1,976 yen and that for women is 1,255 yen.
(yen)
| Age | Men | Women |
|
15-19 |
957 |
894 |
|
20-24 |
1,174 |
1,083 |
|
25-29 |
1,464 |
1,270 |
|
30-34 |
1,784 |
1,376 |
|
35-39 |
2,057 |
1,418 |
|
40-44 |
2,272 |
1,369 |
|
45-49 |
2,450 |
1,342 |
|
50-54 |
2,543 |
1,327 |
|
55-59 |
2,311 |
1,253 |
|
60-64 |
1,742 |
1,167 |
|
65- |
1,568 |
1,169 |

3.RC-G method The national average wage (880 yen) was calculated from wages paid for housework support service by region, which are shown in the "Survey of Wages of Home Workers FY1996," and was used as base data.