| Abstract | ||
| Survey Number | 1423 | |
| Survey Title | Survey on Satisfaction and Quality of Life, 2019-2020 | |
| Depositor | Cabinet Office | |
| Restriction of Use |
For detailed information, please refer to 'For Data Users' at SSJDA website.
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| Educational Purpose | Available for both research and instructional purposes. | |
| Period of Data Use Permission | One year | |
| Access to Datasets | Download | |
| SSJDA Data Analysis | Not available | |
| Summary |
In recent years, international organizations such as the United Nations and the OECD have been active in their attempts to depict people's happiness and satisfaction, which cannot be captured by economic indicators such as GDP. In Japan, following a series of Basic Policies on Economic and Fiscal Management and Reform, the Cabinet Office has been studying the possibility of visualizing the structure of the economy and society not only through economic indicators but also from the qualitative and subjective perspective of satisfaction in order to use this information in policy management. Specifically, a web-based survey of 10,000 people was conducted in February 2019 (from now on referred to as the "2019 Survey"). In July of the same year, a tentative draft of the "Dashboard of Indicators for Satisfaction and Quality of Life" was prepared and published on the Cabinet Office website. The dashboard lists a group of indicators useful for objectively grasping the level of satisfaction and quality of life. In February 2020, a web-based survey of 5,000 respondents was conducted (after this, referred to as the "2020 Survey"), which did not include the same respondents as the 2019 Survey. The primary aims and contents of the 2020 survey are as follows. (1) To increase the accuracy of inter-regional comparisons by allocating a slightly weighted sample to prefectures where the sample size was small in the 2019 Survey. (2) The same 13 fields were set as in the 2019 Survey. However, based on the results of the 2019 Survey, we reviewed, reorganized, and expanded the number of questions on child rearing, safety, social ties, enjoyment/interest in life, and working hours. (3) For all fields, we asked about whether the respondents are anxious when thinking about the future from the perspective of exploring the impact of perceptions about the future (sustainability) on current satisfaction. The data provided are a merger of the 2019 and 2020 surveys. |
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| Data Type | quantitative research: micro data | |
| Universe | Residents of Japan between the ages of 15 and 89 | |
| Unit of Observation | Individual | |
| Sample Size |
[2019 Survey] 10,293 cases [2020 Survey] 5,281 cases |
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| Date of Collection |
[2019 Survey] 2019/1/25-2019/2/7 [2020 Survey] 2020/2/7-2020/2/20 |
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| Time Period | ||
| Spatial Unit | Japan | |
| Sampling Procedure |
[2019 Survey] Non-probability quota sampling Following the allocation by district, gender, and age class strata, the invitations were sent to registered Internet survey panels, after which the survey was conducted. The allocation was made by a combination of equal quotas and quotas based on population ratios to reflect the population as much as possible and to minimize the standard errors in the results by prefecture. Regional classification: 7,050 cases were equally allocated to the 47 prefectures, and 3,243 cases were allocated according to the population ratio (169-477 cases per prefecture: 150 equally allocated cases + 19-327 cases per prefecture according to the population ratio). Gender classification: 3,525 cases were equally allocated to each of the 47 prefectures for men and women, and 3,243 cases were allocated according to the population ratio. (1) Male (84-235 per prefecture: 75 equally allocated cases + 9-160 per prefecture according to the population ratio) (2) Female (85-242 cases per prefecture: 75 equally distributed cases + 10-167 cases per prefecture according to the population ratio) Age classification: (1) 15-24 years old (32-68 cases per prefecture: 15 cases per prefecture for both sexes equally divided + 2-38 cases per prefecture for both sexes according to the population ratio) (2) 25-34 years old (32-82 cases per prefecture: 15 cases per prefecture for both sexes + 2-52 cases per prefecture for both sexes according to the population ratio) (3) 35-44 years old (34-91 cases per prefecture: 15 cases per prefecture for both sexes + 4-61 cases per prefecture for both sexes according to the population ratio) (4) 45-59 years old (34-105 cases per prefecture: 15 cases per prefecture for both sexes + 4-75 cases per prefecture for both sexes according to the population ratio) (5) 60-89 years old (37-131 cases per prefecture: 15 cases per prefecture for both sexes + 7-101 cases per prefecture for both sexes according to the population ratio) [2020 Survey] Non-probability quota sampling The 2020 survey was designed to minimize unequal weighting effects and standard errors at the prefectural level by adding the data of new survey panels to the 2019 Survey so that the analysis can be conducted as pooled data. The total number of survey panels was set to 15,000 (10,000 in 2019 + 5,000 in 2020), and allocation was conducted in basically the same way as in 2019, seeking an appropriate combination of equal and population-proportional allocation. However, since some questions were added to the 2020 survey, some items were analyzed only with the 5,000 cases added in 2020. For this reason, we also added the unequally weighted effect of only the survey panels added in 2020 (5,000 cases) to the condition for obtaining the combination of allocations. The combination of equal quotas and population-proportional quotas resulted in an unequal weighted effect of less than 1.5 for the sample size (5,000 cases) for the 2020 survey only was the case where the total equal quota was less than 10,000 (the difference from the 2019 Survey was less than 3,000). Among these cases, Tottori Prefecture, the prefecture with the smallest population, had the most minor standard error, and the difference in standard errors among prefectures was slight in the case of 10,000 equal quotas and 5,000 proportional quotas for the entire sample (1,500 cases). Based on the above, we selected the combination of 10,000 equal allocations and 5,000 proportional allocations for the total number of cases. As a result, the sample size allocation for 2020 was 3,000 for equal allocation and 2,000 for proportional allocation. In actuality, fractions were rounded up, and a total of 5,281 cases (3,290 equal quotas and 1,991 proportional quotas) were surveyed. |
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| Mode of Data Collection |
Internet survey The survey was conducted by sending invitations to registered internet survey panels. |
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| DOI | ||
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| Related Publications (by the Investigator) | Please refer to the abstract in Japanese. | |
| Related Publications (based on Secondary Analysis) | List of related publications (based on Secondary Analysis) | |
| Documentation | 【 Questionnaire 】 | |
| Major Survey Items |
Life Satisfaction Overall life satisfaction, items that affect life satisfaction and life satisfaction in each domain, future concerns, and items that were important in judging overall life satisfaction (13 items in each area: household finances and assets, employment environment and wages, housing, work-life balance, health, educational level and environment, friendships and community, trust in politics, government, and courts, natural environment such as air and water, safety of surroundings, ease of raising children, ease of caring, and enjoyment and fun of living) Household finances and assets Annual household income as a whole, annual income from own work, financial assets of the household as a whole, debts of the household as a whole Employment environment, work, and life Current employment status, whether they have a side job, industry, current working hours compared to the number of hours the respondents want to work, number of paid leaves per year, whether the workplace is easy to take vacations, how rewarding they find their work, what they find rewarding about their work, work environment, employment status of their spouse Housing Whether they own or rent their current residence, the total floor space of their residence Health status Health status: things they do for their health on a daily basis Educational level and environment Their terminal education record, status of recurrent education (re-learning to enter the workforce) Friendships and community Frequency of social contacts with friends, family and friends who can be relied on in times of need, participation in volunteer activities and local community activities, participation in volunteer activities and local community activities in the past year, frequency of use of social media in the past year, changes due to the development of social media and the Internet in the context of friendships, communities, and other social connections, and the number of friends with whom they interact on social media Politics and government Whether they voted in the most recent national and local elections Natural environments such as air and water Feelings about the natural environment in their neighborhood (lack of greenery such as parks and green spaces, air pollution, pollution of rivers, waterways, water bodies, soil pollution, noise, vibration, bad smells) Safety of their surroundings Whether they feel safe walking alone at night in their neighborhood Ease of raising children The number of minors in the household (number and age), whether or not they take childcare leave, the number of children who would like to be enrolled in an approved nursery school, kindergarten, or certified kindergarten but have not yet been admitted, whether there are people around them whom they feel comfortable asking to take care of their children, and how they feel about child-rearing Ease of taking care of children Whether or not they have family members who need nursing care, the situation of those family members, and whether or not they have changed their employment status to take care of family members Enjoyment/interest in life Hobbies and purpose in life, reasons for not having hobbies and purpose in life, pets Face items The prefecture of residence, gender, age, population size, number of people in the household, household composition, reasons for not having a spouse, average allocation of time per day, experiences in the past year |
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| Date of Release | 2021/12/15 | |
| Topics in CESSDA |
Click here for details |
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| Topics in SSJDA | Society/Culture | |
| Version | 1 ： 2021-12-15 2 ： 2024-01-16 | |
| Notes for Users |
The data provided is a merger of the 2019 and 2020 surveys. Sample IDs are reassigned to panel IDs in version 2. |