~The Internet of Value~Insights ↗
ReferencesSources and quick answers

Sources and methods

Primary estimates belong to MoSPI. This essay reproduces selected published tables and interprets what they can—and cannot—tell us.

MoSPI ·2019 report package ↗

Statements 5–7,20–22,24–26. Survey year 2019; released 2020.

MoSPI ·2024 report ↗

Statements 1–3,19–21,23–25; Preface, Chapter 1 sample/nonresponse counts, §2.10 and Appendix D. Released 2025.

MoSPI · comparative fact sheet ↗

February 2025 release; separate cross-check of the full report’s national estimates.

MoSPI · institutional responsibilities ↗

Introduction; National Accounts, HSD, FOD/CQCD and NSC roles.

UN · Counting What Counts ↗

2026. Dashboard proposal, executive summary p.viii; unpaid care-data coverage, annex p.33.

World Bank · Adopting AI for Growth ↗

October 2026. Formal-firm survey, sample and scenario expectations, pp.33,50,55.

ADB · It Is About Time ↗

March 2026. Subjective/context measures and digital-collection limits.

Mint · How Indians spend their time in a day ↗

Nandita Venkatesan ·26 February 2025. Further reading and an editorial reference; our charts are independently drawn from MoSPI estimates.

Reproduce the comparison

918 published observations produce 459 matched comparisons. These are published-table reproductions, not microdata re-estimates.

Download the aggregate comparison CSV · Chart values and provenance

How to read the estimates

The India comparisons reproduce selected published tables from the national Time Use Surveys of 2019 and 2024. The data concern those observation years; the later institutional reports provide the 2026 policy context. The opening comparison uses ages 15–59. The domestic-service, caregiving and rural–urban comparisons explicitly use age six and over.

All time figures here are per-person averages unless labelled per participant. They use all-activity allocation, with equal division of each half-hour slot across its recorded activities. Published estimates are rounded. Differences are descriptive; no sampling-significance test or causal analysis was performed. “Unpaid” follows the reports' classification and includes more than household services. The accounting-boundary discussion concerns the 2008 SNA framework used in their categories.

The reproduced tables, methods and evidence register provide source locations and definitions. The institutional reports support the findings attributed to them; the questions about personal observation and policy evaluation are this article's proposed research directions.

Evidence and interpretation

Rates change in percentage points; time changes in minutes/day. Ages six and over differ from ages 15–59. Participant averages differ from per-person averages. Published totals are rounded separately. No causal AI effect, welfare improvement or statistical significance is claimed.

The sections on political choices and proposed personal observation are the author’s interpretation and research questions. Statistical roles are grounded in the official documents.

Questions this research answers

Who conducts India’s Time Use Survey?

The National Statistics Office under MoSPI. The 2024 report credits HSD with methodology, processing and reporting, FOD with fieldwork and CQCD with coordination. MoSPI 2024 · Preface ↗

What changed for working-age women between 2019 and 2024?

Paid-activity participation rose from 20.6% to 24.9%. Unpaid minutes per person per day moved from 364 to 366. These are descriptive national estimates for ages 15–59. MoSPI 2024 · Statements 23–25; comparative Figures 19–20 ↗

How is India’s time-use data collected?

Interviewers collect previous-day activity accounts in 48 half-hour slots. Proxy informants are permitted. Activities are coded and sampling multipliers produce population estimates. MoSPI 2024 · Chapter 1, §2.10 and Appendix D ↗

Why are participant and per-person averages different?

Participant averages include only people reporting an activity. Per-person averages include everyone in the stated population, including nonparticipants. MoSPI 2024 · Chapter 2 definitions ↗

Is all unpaid work excluded from GDP?

No. Under the SNA 2008 framework used in these survey categories, own-use goods are inside the production boundary; most own-use household services are outside, with specified exceptions. SNA 2008 · §§6.25–6.29 ↗

Do these surveys show that AI saved people time?

No. They are 2019 and 2024 survey snapshots. The World Bank’s 2026 firm research reports AI adoption and expectations, not recovered household time. World Bank 2026 · Data and methods, Figure 2.6 ↗

Can time-use data alone show whether life improved?

Duration and activity are part of the evidence. Questions about choice, support and experience need additional measures; the Foundation’s proposed voluntary observations still require evaluation. ADB 2026 · pp.18–19; proposed extension is the author’s hypothesis ↗

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