Japan has been losing people faster than it has been losing jobs. The population in 2025 was 2.5% smaller than in 2020, yet employment among women and older people reached historically high levels and foreign employment continued to climb. Participation, rather than population growth, became the main reason labor supply held up. [17] [1] [29] [44]
That adjustment is incomplete. Women still face a sharp age gradient in regular employment, 2025 inflation outran nominal wage growth, the job-openings ratio fell even in a shortage economy, and household spending weakened again in mid-2026. Labor-market quantity, job quality, purchasing power and productivity can therefore move in different directions. [29] [33] [36] [37] [7]
Key findings
1. Japan’s population in 2025 was 2.5% lower than in 2020, a decline of about 3.1 million people. Demographic contraction is therefore a structural reduction in the potential labor base, not a short business-cycle event. [17]
2. Employment rates rose even as the working-age population fell. The 15-64 employment rate reached 80.2% in 2026Q1 and the female rate 75.7%, placing Japan near the top of the OECD. [2]
3. Female employment reached 75.3% for ages 15-64 and 83.6% for ages 25-44 in 2025, yet regular employment still peaks around 62.8% at ages 25-29 and then declines with age. [29]
4. Employment among 55-64 year-olds reached 79.2% in 2024, 10.5 percentage points above 2014. Later-life employment has been a major adjustment alongside women’s participation. [1]
5. Foreign employment reached 2.57 million in October 2025, up 11.7% from a year earlier. This inflow is increasingly important as the domestic working-age population contracts. [18] [44]
6. A strong labor market did not guarantee stronger purchasing power. Nominal earnings rose 2.3% in 2025, CPI rose 3.2%, the main real-wage measure fell 1.3%, and worker-household real income also declined. [36] [37] [20]
| Core indicator | Value | What it means |
|---|---|---|
| Population, 2020-2025 | -2.5% | Demographic labor base shrank |
| Female employment 15-64, 2025 | 75.3% | Women became a key buffer |
| Employment 55-64, 2024 | 79.2% | Later-life work expanded |
| Foreign workers, 2025 | 2.57m | Additional supply in shortage sectors |
| Nominal pay / CPI / real pay, 2025 | +2.3% / +3.2% / -1.3% | Employment and purchasing power diverged |
Scope, definitions and how to read the numbers
The analysis uses developments since 2000 as structural context but gives more weight to official 2024-2026 data when assessing the current labor market and household economy. Employment, participation and unemployment rates use different denominators, while FIES household spending and national-accounts private consumption are also distinct concepts. [13] [14] [15] [16]
The key to interpreting scope, definitions and how to read the numbers is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [13] [14]
Analytical block 1 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [15] [16]
| Adjustment channel | Direct effect | Current evidence | Remaining constraint |
|---|---|---|---|
| Women’s participation | More workers and hours | Higher employment and post-birth retention | L-shaped regular-employment gap and unmet desired hours |
| Older workers | Later retirement and retained skills | Sharp rise in 55-64 employment | Part-time/non-regular work and productivity differences |
| Foreign workers | Fill sector shortages | 2.57m workers in 2025, +11.7% | Occupation and regional mismatch; retention |
| Automation and AI | Output per worker | DX/robotics investment and policy support | Uneven sector effects and reskilling needs |
| Family policy | Career continuity | Expanded leave and flexible work | Take-up and wage/promotion effects not yet settled |
How quickly is Japan’s population shrinking
The preliminary 2025 census counted 123.05 million people, 3.097 million or 2.5% fewer than in 2020. The decline in the 15-64 population continued into 2026, making the demographic contraction visible in both census and monthly population estimates. [17] [18] [31]
The key to interpreting how quickly is japan’s population shrinking is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [17] [18]
Analytical block 2 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [18] [31]

Why employment fell less than the working-age population
The OECD estimates that Japan’s working-age population fell 16% from 87.3 million in 1995 to 73.7 million in 2024, yet employment rates among women and older people rose sharply. By 2026Q1 the 15-64 employment rate was 80.2%, showing how higher participation absorbed much of the demographic loss. [1] [2] [27]
The key to interpreting why employment fell less than the working-age population is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [1] [2]
Analytical block 3 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [2] [27]
How rising female employment changed the labor market
Female employment reached 75.3% for ages 15-64 and 83.6% for ages 25-44 in 2025, and the old M-shaped employment curve has largely disappeared. Roughly 70% of women employed before their first birth now continue working afterward, indicating a major shift in career continuity. [29] [45]
The key to interpreting how rising female employment changed the labor market is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [29] [45]
Analytical block 4 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [29] [45]

Why better female employment did not eliminate the regular-job gap
Women’s regular-employment share peaks at 62.8% for ages 25-29 and then declines with age, producing an L-shaped pattern. The result separates the large quantitative gain in female employment from unresolved constraints in career progression, pay, hours and job quality. [29] [5] [34] [35]
The key to interpreting why better female employment did not eliminate the regular-job gap is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [29] [5]
Analytical block 5 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [34] [35]
How much did older workers offset labor-force shrinkage
Employment among 55-64 year-olds rose 10.5 percentage points between 2014 and 2024 to 79.2%. Policies encouraging work opportunities up to age 70 and company re-employment practices expanded labor supply, although hours and contract types differ from those of younger regular employees. [1] [24] [12]
The key to interpreting how much did older workers offset labor-force shrinkage is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [1] [24]
Analytical block 6 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [24] [12]
Why foreign workers matter more — and what they cannot solve
Foreign employment reached 2.57 million in October 2025, up 11.7% from a year earlier. Population estimates for 2026 show Japanese nationals declining while the foreign population rose 8.32%, making the compositional shift in labor supply increasingly visible. [18] [44] [25]
The key to interpreting why foreign workers matter more — and what they cannot solve is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [18] [44]
Analytical block 7 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [44] [25]
Labor shortages do not make the job-openings ratio rise every year
The average active job-openings-to-applicants ratio fell to 1.22 in 2025 from 1.25 in 2024, and active openings declined 3.5%. It is an important counter-signal: long-run labor scarcity and short-run employer demand do not have to move in the same direction every year. [33] [27]
The key to interpreting labor shortages do not make the job-openings ratio rise every year is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [33] [27]
Analytical block 8 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [33] [27]
How strong was the 2025 consumption recovery
Average monthly consumption for households with two or more people reached ¥314,001 in 2025 and rose 0.9% in real terms. Yet real income for worker households fell 0.9%, so the recovery in spending did not come from an equally clear improvement in household income. [20] [21] [40]
The key to interpreting how strong was the 2025 consumption recovery is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [20] [21]
Analytical block 9 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [21] [40]
Why prices outran wages in 2025
Total cash earnings rose 2.3% in nominal terms in 2025, while CPI increased 3.2% and food prices 6.8%. Using the main CPI deflator excluding imputed rent, real wages fell 1.3%, creating a clear gap between a tight labor market and household purchasing power. [36] [37] [16]
The key to interpreting why prices outran wages in 2025 is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [36] [37]
Analytical block 10 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [37] [16]

How the yen and import prices reach household purchasing power
The BOJ identifies yen depreciation and higher import costs as possible sources of domestic inflation pressure. But exchange-rate shocks pass through import prices, corporate pricing, wage bargaining and household adjustment with lags, so the yen-dollar rate alone cannot explain consumption. [38] [39] [8]
The key to interpreting how the yen and import prices reach household purchasing power is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [38] [39]
Analytical block 11 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [39] [8]
What the 2026 spending setback says about the recovery
In July 2026, real spending by households with two or more people fell 3.6% year on year and real income of worker households fell 3.8%. The reading is a recent counterexample to the idea that the 2025 annual gain had already become a durable consumption boom. [7] [8]
The key to interpreting what the 2026 spending setback says about the recovery is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [7] [8]
Analytical block 12 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [7] [8]
How women’s employment and childcare policy changed labor supply
Since the 2015 Women’s Participation Act, companies have faced action-plan and disclosure requirements, while 2025 childcare and family-care reforms expanded overtime exemptions, telework and flexible work. A new post-birth benefit also lowers the short-run cost of taking leave. [22] [23] [42] [43]
The key to interpreting how women’s employment and childcare policy changed labor supply is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [22] [23]
Analytical block 13 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [42] [43]
How much can automation and AI offset population decline
METI treats AI, digital technology and robotics as central responses to structural labor shortages. In the 2025 manufacturing white paper, firms adopting DX frequently reported productivity gains through operational efficiency, although survey responses are not an economy-wide causal estimate. [46] [47] [48] [49]
The key to interpreting how much can automation and ai offset population decline is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [46] [47]
Analytical block 14 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [48] [49]

What is distinctive about Japan in OECD and Korea comparisons
Japan’s 15-64 employment rate of 80.2% in 2026Q1 was among the OECD’s highest, and employment among 55-64 year-olds was also high at 79.2% in 2024. Korea faces similar aging pressures, but Japan has pushed participation further after a longer period of demographic contraction. [1] [2] [3] [4]
The key to interpreting what is distinctive about japan in oecd and korea comparisons is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [1] [2]
Analytical block 15 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [3] [4]
How industrial change interacts with labor shortages
Population decline does not create the same pressure in every industry. Manufacturing can substitute some labor with automation and AI, while care, hospitality and other face-to-face services remain labor intensive; occupational skill requirements also limit how fully women, older people and foreign workers can substitute for one another. [28] [46] [49] [25]
The key to interpreting how industrial change interacts with labor shortages is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [28] [46]
Analytical block 16 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [49] [25]
Counterevidence and alternative interpretations
Population decline did not uniformly worsen jobs for young people or women. Involuntary non-regular employment among 25-34 year-olds fell from 26.4% a decade earlier to 12.7% in 2024, while female employment increased. But high employment rates also do not prove that labor-market quality problems are solved. [5] [6] [35] [45]
The key to interpreting counterevidence and alternative interpretations is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [5] [6]
Analytical block 17 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [35] [45]
Implications for policy and business
The next stage is less about maximizing headcount and more about raising hours, productivity and job quality together. Career continuity for women, job design for older workers, foreign-worker retention, automation and reskilling should be treated as a portfolio, with priorities set by occupation-specific shortages. [26] [42] [44] [48] [49]
The key to interpreting implications for policy and business is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [26] [42]
Analytical block 18 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [48] [49]
What this analysis still cannot identify precisely
Official data clearly show demographic contraction and higher participation, but they do not allocate causal shares to individual policies. Employment rates count people rather than total hours, hourly productivity or lifetime earnings, and household surveys are sensitive to sample composition and benchmark revisions. [13] [14] [15] [16]
The key to interpreting what this analysis still cannot identify precisely is to separate headcount from hours and job quality. One employed person can represent a full-time regular job, short part-time work, a woman early in her career, or re-employment after retirement; those arrangements differ in hours, pay and accumulated skills. Treating a higher employment rate as a full one-for-one offset to demographic decline would therefore overstate effective labor input. This section reads participation alongside contract type, income and policy context. [13] [14]
Analytical block 19 also requires attention to timing. Demography changes over decades, while job openings and household spending can turn within months as demand and prices change. Participation policies often work only after company practices and household choices adjust. Separating the long demographic trend from short-cycle indicators prevents both the optimistic claim that the shortage is solved and the pessimistic claim that every labor indicator must worsen each year. [15] [16]
A new synthesis: Japan’s labor-adjustment matrix
Grouping the evidence into four adjustment channels produces a useful pattern. Women’s and older-worker participation already operate at large scale, so the easiest participation gains are less abundant than a decade ago. Foreign labor is growing quickly but remains constrained by occupation, geography and retention. Automation does not add people, but it can raise output per worker and therefore becomes more important as demographic decline deepens. [1] [44] [45] [46] [48]
The matrix is not a ranking. It separates measures that add labor relatively quickly from measures that improve medium-term productivity, showing why no single lever can fill every shortage. Career continuity for women can raise both headcount and hours, while automation can increase production with a smaller workforce; the two channels are complements rather than substitutes. [23] [26] [47] [49]

Conclusion: why employment held up as Japan’s population shrank
What we know with confidence
What is firmly supported is that Japan’s working-age population has fallen for decades while rising employment among women and older people, plus more foreign workers, kept employment and labor supply from falling as fast. Female employment of 75.3%, age-55-64 employment of 79.2%, and 2.57 million foreign workers show the scale of that adjustment. [17] [29] [1] [44]
What depends on conditions
Whether employment can keep holding up depends on more than another increase in participation. Japan needs better retention of women in regular careers, effective job design for older workers, integration and retention of foreign workers, measurable productivity gains from automation and AI, and real wage growth that persistently exceeds inflation so household demand can recover. [26] [37] [46] [49]
What remains unknown
The exact share of labor-supply loss offset by women, older workers, foreign workers and automation over the past two decades is still unknown, as is how far future productivity growth can compensate for fewer total hours. Estimating those contributions requires matched data on hours, occupation, industry productivity, policy take-up and a credible counterfactual. [13] [14] [16]
Final answer to the research question
Japan has supported employment despite population decline by drawing more women, older people and foreign workers into the labor market. The next stage is harder: as participation approaches high levels, resilience depends increasingly on job quality, hours, productivity and real income. Demographic decline is already entrenched, so automation, career continuity, foreign-worker retention and wage growth above inflation must work together. [27] [29] [44] [46]
Sources and method
Citations prioritize official or public primary sources from Statistics Bureau Japan, MHLW, the Cabinet Office, the BOJ, METI, IPSS and the OECD. Internal DataLab and Insight pointers were used for topic discovery only; public claims link back to source URLs. [17] [19] [20] [29] [1] [36] [37] [44] [46]
- [17] Statistics Bureau of Japan: Preliminary Counts of the 2025 Population Census of Japan
- [18] Statistics Bureau of Japan: Population Estimates — Japan, September 2026
- [19] Statistics Bureau of Japan: Labour Force Survey — 2025 Yearly Average
- [20] Statistics Bureau of Japan: Family Income and Expenditure Survey — 2025 Yearly Average
- [27] Ministry of Health, Labour and Welfare: 2025 Labour Economy Analysis — Toward sustainable growth under labour supply constraints
- [29] Gender Equality Bureau, Cabinet Office: White Paper on Gender Equality 2026 — Employment
- [30] Bank of Japan: Bank of Japan Outlook for Economic Activity and Prices — January 2026
- [1] OECD: OECD Employment Outlook 2025 — Japan
- [2] OECD: OECD Employment Outlook 2026 — Japan
- [33] Ministry of Health, Labour and Welfare: General Employment Referrals — December and 2025 annual results
- [36] Statistics Bureau of Japan: Consumer Price Index Japan — 2025 yearly average
- [37] Ministry of Health, Labour and Welfare: Monthly Labour Survey — 2025 annual preliminary results
- [44] Ministry of Health, Labour and Welfare: Foreign Employment Status — October 2025
- [45] Gender Equality Bureau, Cabinet Office: Gender Equality White Paper 2026 — life-course employment
- [46] Ministry of Economy, Trade and Industry / MHLW / MEXT: White Paper on Manufacturing Industries 2026
- [49] Ministry of Health, Labour and Welfare: Labour Economy Analysis 2026 — AI and technological innovation
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