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Women’s Labor and the Agricultural Economy of Odisha --- Research Compilation

Compiled: 2026-04-02 Scope: Female labor force participation, agricultural feminization, MGNREGA, unpaid care work, the SHG economy, migration-induced labor shifts, tribal women’s economic roles, and comparative state analysis. Source material for the “Women’s Odisha --- The Invisible Half of the Transformation” chapter series. Sources: PLFS Annual Reports (2017-18 through 2023-24), NFHS-5 (2019-21), Census 2011, Agricultural Census 2015-16, NSSO Time Use Survey 2019, NABARD Status of Microfinance Reports, ILO publications, MGNREGA official portal data, Mission Shakti government portal, academic papers, ICRIER/IWWAGE/UNDP research, Landesa surveys, FAO reports, BehanBox investigations, and credible news sources. Every data point is attributed.

Female Labor Force Participation Rate (LFPR)
Agricultural Feminization
MGNREGA --- Gendered Data
Unpaid Care Work
The SHG Economy
Migration and the Residual Labor Force
Tribal Women’s Economic Roles
Comparative Analysis
Key Data Tables
Sources and References

1. Female Labor Force Participation Rate (LFPR)

1.1 PLFS 2022-23 and 2023-24: Odisha’s Numbers

Odisha’s female Worker Population Ratio (WPR) for women aged 15 years and above on usual status (ps+ss) has shown a sharp upward trajectory in recent years:

2021-22: 31.4%
2022-23: 43.6%
2023-24: 48.0%

(Source: PLFS Annual Reports, MoSPI; PIB Press Release PRID 2057970, https://www.pib.gov.in/PressReleasePage.aspx?PRID=2057970)

The female labour force participation rate (FLFPR) in Odisha increased from 37.6% in 2022 to 48.7% in 2024, surpassing the national average of 40.3%, an 11.1 percentage point increase. The gender gap in LFPR narrowed from 41 pp (2022) to 32.9 pp (2024). (Economic Survey 2025-26, Ch. 9 §9.5.13; The Statesman, https://www.thestatesman.com/india/odisha-surpasses-national-average-in-labour-force-participation-shows-strong-employment-gains-1503561459.html)

The female workforce is concentrated in self-employment (74%) and casual labour (17.9%), with only 8.1% in regular wage jobs. Agriculture employs 69.5% of the female workforce (up from 65.8% in 2022), followed by industry (16.8%) and services (13.7%) (Economic Survey 2025-26, Ch. 9 §9.5.14, PLFS 2024).

At the national level, female LFPR (usual status, 15+ years) rose from 23.3% in 2017-18 to 41.7% in 2023-24. Odisha’s 48.0-48.7% figure places it above the national average. (Source: PIB Press Release, PLFS 2023-24 Annual Report, https://mospi.gov.in/sites/default/files/press_release/Press_note_AR_PLFS_2023_24_22092024.pdf)

1.2 Rural-Urban Breakdown

At the national level, the rural-urban female LFPR divergence is stark:

Rural female LFPR: Rose from 24.6% in 2017-18 to 47.6% in 2023-24 (nearly doubling)
Urban female LFPR: Rose from 20.4% in 2017-18 to 28.0% in 2023-24

(Source: PLFS Annual Reports; CEDA Ashoka University analysis, https://ceda.ashoka.edu.in/too-good-to-be-true-steadily-rising-female-labour-force-participation-rates-in-india/)

Odisha, being predominantly rural (83% rural population per Census 2011), draws much of its female LFPR from rural employment, primarily agriculture and allied activities. Rural Odisha’s female participation rates track the national rural trend but with added structural factors: male out-migration, subsistence farming dependence, and the SHG economy’s reach.

1.3 Comparison with Other States

State-wise female LFPR (usual status, 15+ years) for the most recent available PLFS data:

State	Female LFPR (approx.)	Key Feature
Odisha	~48.0-48.7% (2023-24)	Above national average; rural-driven, agriculture-heavy
Bihar	~34.1% (2022-23)	Historically lowest; rose from 3.9% rural in 2017-18 to 23.3% in 2022-23
Kerala	~29.9% (Apr-Jun 2024)	Paradox: highest female literacy (92%), low LFPR
Tamil Nadu	~35.7% regular/salaried share	Strong in manufacturing; 42% of India’s female factory workers
Andhra Pradesh	Among higher LFPR states	Lowest gender gap alongside Kerala in certain measures
National Average	~40.3-41.7% (2023-24)	Steadily rising from 23.3% in 2017-18

(Sources: PLFS Annual Reports via PIB; EACPM Working Paper on Female LFPR, https://eacpm.gov.in/wp-content/uploads/2024/12/EACPM-WP-Female-LFPR-India.pdf; CEDA Ashoka, https://ceda.ashoka.edu.in/how-does-labour-force-participation-vary-across-indian-states/)

Bihar’s gender gap is the widest at 55.8 percentage points between male (89.9%) and female (34.1%) LFPR. (Source: EACPM Working Paper)

1.4 Trends Over Time (2017-18 to 2023-24)

National female LFPR (usual status, 15+ years) time series:

Year	Female LFPR (National)
2017-18	23.3%
2018-19	24.5%
2019-20	30.0%
2020-21	32.5%
2021-22	32.8%
2022-23	37.0%
2023-24	41.7%

(Source: PIB Press Release on PLFS increasing trend, https://www.pib.gov.in/PressReleasePage.aspx?PRID=1908961; PLFS Annual Reports)

Odisha’s trajectory is steeper than the national curve: from approximately 31.4% WPR in 2021-22 to 48.0% in 2023-24 --- a gain of 16.6 percentage points in just two years. This acceleration warrants scrutiny: does it reflect genuine economic transformation, or reclassification of previously uncounted work?

1.5 Why Odisha’s Female LFPR Is What It Is --- Structural Factors

Several structural factors explain Odisha’s pattern:

Male out-migration: With an estimated 7 lakh migrants from Ganjam district alone working in Surat’s powerloom industry, and hundreds of thousands more migrating to Kerala, Andhra Pradesh, and other states, women are compelled to take over agricultural and other economic activities. (Source: The Migration Story, https://www.themigrationstory.com/post/of-caste-climate-and-the-creation-of-one-of-india-s-busiest-migration-corridors)
Agricultural dependence: Agriculture and allied activities employ a disproportionate share of women. Census 2011 data shows 57.8% of female workers in Odisha are agricultural labourers --- among the highest percentages in India. (Source: Census 2011; PIB, https://www.pib.gov.in/PressReleasePage.aspx?PRID=1601902)
SHG ecosystem: Mission Shakti’s 6 lakh SHGs covering 70 lakh women have brought many into recorded economic activity through micro-enterprise, savings, and bank linkage. (Source: Mission Shakti Odisha portal, https://missionshakti.odisha.gov.in/about-us/overview)
MGNREGA expansion: The state government’s provision of additional 200 days of work above the mandatory 100 days under MGNREGA in distressed districts (Balangir, Bargarh, Kalahandi, Nuapada) --- guaranteeing 300 days total --- specifically pulls women into the counted labor force. (Source: Down To Earth, https://www.downtoearth.org.in/governance/checking-migration-odisha-extends-mgnrega-supplementary-job-guarantee-to-10-tribal-blocks-92971)
Low industrialization: Unlike Tamil Nadu (42% of India’s female factory workers) or Gujarat (chemical/pharma), Odisha lacks a manufacturing base that employs women in formal sector jobs. The LFPR is high but concentrated in low-productivity, informal, and often unpaid work.

1.6 The Measurement Problem

The sharp rise from 23.3% (national, 2017-18) to 41.7% (national, 2023-24) and from 31.4% to 48.0% (Odisha) has been questioned by researchers.

What gets counted and what does not:

The PLFS uses “usual status” (ps+ss), which counts a person as employed if they worked for at least 30 days in the reference year. This includes unpaid family labor on farms.
The reclassification of domestic activities (collecting firewood, fetching water, free collection of vegetables/fruits for household consumption) as economic activity in recent PLFS rounds may have inflated the numbers.
Of rural working women nationally, 76.95% are in agriculture but 47.7% are classified as “unpaid family workers.” (Source: Drishti IAS analysis of PLFS, https://www.drishtiias.com/daily-updates/daily-news-editorials/feminization-of-agriculture-1)
CEDA Ashoka University’s analysis questions whether the steady rise is “too good to be true,” noting potential methodological changes and the difficulty of distinguishing subsistence activity from genuine labor market participation. (Source: https://ceda.ashoka.edu.in/too-good-to-be-true-steadily-rising-female-labour-force-participation-rates-in-india/)

The Odisha implication: A significant portion of Odisha’s rising female LFPR likely reflects subsistence activities and unpaid family labor being counted, rather than women entering productive, remunerative employment. The LFPR number alone conceals the quality, remuneration, and autonomy dimensions of women’s work.

2. Agricultural Feminization

2.1 The Numbers: Who Does the Work

Women’s contributions to Indian agriculture, as documented across multiple sources:

Women contribute to 75% of crop production work nationally. (Source: FAO, https://www.fao.org/4/x0198e/x0198e02.htm; Wikipedia on Women in Agriculture in India, https://en.wikipedia.org/wiki/Women_in_agriculture_in_India)
Women perform 79% of horticultural work and 95% of animal husbandry and dairy work. (Source: Akka IAS, https://akkaias.com/women-farmers-and-climate-resilience-in-indian-agriculture/)
Women grow 60-80% of India’s food. (Source: The Conversation, https://theconversation.com/women-grow-as-much-as-80-of-indias-food-but-its-new-farm-laws-overlook-their-struggles-155083; Economic Survey 2017-18, Vol. 2, p. 104, via PIB https://www.pib.gov.in/Pressreleaseshare.aspx?PRID=1518099)
In a given crop season, women farmers work approximately 3,300 hours, double the 1,860 hours men contribute. (Source: SRI4Women, https://sri4women.org/sri-women/feminisation-of-agriculture/)
65% of total female workers in India are engaged in agriculture (Census 2011). Of 118.7 million cultivators, 30.3% are female; of 144.3 million agricultural labourers, 42.6% are women. (Source: PIB, https://www.pib.gov.in/PressReleasePage.aspx?PRID=1601902)

2.2 Land Ownership: The Asset Gap

Despite performing the bulk of agricultural work, women own almost none of the land:

Odisha: only 3.3% of land is owned by women --- far below the national average of 13%. (Source: World Bank study on Gender and Land Governance in Odisha, cited in Sambad English, https://sambadenglish.com/only-3-3-of-land-owned-by-women-in-odisha-says-world-bank-study/)
A Landesa study found that only about 13% of women in Uttar Pradesh and Odisha possess legal land ownership documents. (Source: Landesa, https://www.landesa.org/resources/land-assets-and-livelihoods-gender-analysis-of-evidence-from-odisha-state-in-india/)
Nationally, Agricultural Census 2015-16: Female operational holdings were 13.87% of total (up from 12.79% in 2010-11), and women operated 11.72% of total operated area. (Source: Agriculture Census 2015-16, https://agcensus.da.gov.in/document/agcen1516/ac_1516_report_final-220221.pdf)
NFHS-5 (2019-21): nationally, 8.3% of women (15-49 years) own land alone; 23.4% own land jointly. But Odisha is among the states where women’s land/house ownership actually declined between NFHS-4 and NFHS-5. (Source: UNFPA analytical paper, https://india.unfpa.org/sites/default/files/pub-pdf/analytical_paper_6_-_asset_ownership_among_women_in_india_-_insights_from_nfhs_data_-_final_1.pdf)
Research shows joint titling has “not yielded the desired result of empowering women.” Exclusive land ownership may be necessary for genuine empowerment. (Source: Landesa policy paper, https://www.landesa.org/wp-content/uploads/The-Fog-of-Entitlement-Women-and-Land-in-India-261-Kelkar.pdf)

2.3 The Feminization of Agriculture: Men Migrate, Women Remain

The Economic Survey 2017-18 explicitly acknowledged: “With growing rural to urban migration by men, there is ‘feminisation’ of agriculture sector, with increasing number of women in multiple roles as cultivators, entrepreneurs and labourers.” (Source: PIB, https://www.pib.gov.in/Pressreleaseshare.aspx?PRID=1518099)

Critical research distinguishes between feminization as empowerment versus feminization as distress:

The “feminization of agriculture” is fundamentally a “distress-push” mechanism driven by poverty, lack of non-farm jobs, and male out-migration, rather than a “demand-pull” milestone of progress. (Source: The Squirrels, https://thesquirrels.in/policy/feminization-indian-agriculture-distress-data-11207084)
Experts describe this as the “feminization of agricultural hardship” rather than the feminization of agricultural opportunity. (Source: Drishti IAS, https://www.drishtiias.com/daily-updates/daily-news-editorials/feminization-of-agriculture-1)
While cash and financial decision-making may be handed to women, changes in tenure are less likely. Existing inequalities are reinforced or shifted to new realms. (Source: ScienceDirect, Beyond the “Feminization of Agriculture,” https://www.sciencedirect.com/science/article/pii/S0743016722000316)
Structural barriers in land and credit access leave women managing farms without the capital required to make them profitable. (Source: Cornell TCI, https://tci.cornell.edu/?blog=those-left-behind-understanding-the-effects-of-internal-male-migration-on-womens-participation-in-agriculture)

2.4 What “Feminization” Means Structurally

The structural reality of agricultural feminization:

Women do the work; men own the assets. Although land holdings are in the name of males, there is a larger share of women farmers who do the main manual work on farms but do not get recognition. (Source: Mongabay India, https://india.mongabay.com/2022/01/women-farmers-of-odisha-navigate-impacts-of-extreme-weather-events-while-pushing-for-recognition/)
Women constitute 73% of the rural agricultural workforce but only 14% are operational landholders and own just 11% of total land. (Source: PIB/Agricultural Census 2015-16)
Women are “predominant at all levels” --- production, pre-harvest, post-harvest, processing, packaging, marketing --- of the agricultural value chain. Yet financial decisions and crop choices are controlled by male family members. (Source: Economic Survey 2017-18)

2.5 The Paddy Cultivation Cycle and Women’s Roles

Rice dominates Odisha’s agriculture. Women perform the most labor-intensive stages:

Nursery preparation and seed selection (May-June): Women select seeds, sow and manage nurseries.

Transplanting (July-August): Women rated this as the most challenging period. Transplanting is typically done manually by hired female labourers who uproot seedlings and transplant them in a semi-flexed stance, planting 2-3 seedlings per hill in saturated soil. Rice transplanting accounts for approximately 22% of total time spent by women family members and 46% of time spent by women wage labourers in rice cultivation. (Source: IRRI, https://www.irri.org/news-and-events/news/enabling-women-farmers-odisha-combat-heat-stress; Lotus Foods, https://www.lotusfoods.com/blogs/blog/womens-essential-role-in-rice)

Weeding (August-September): The second most strenuous period, involving long hours of back-breaking work in paddy fields under intense heat and humidity.

Harvesting (November-December): Women harvest, thresh, winnow, clean, sort, and bag the grain.

Post-harvest processing and seed saving: Women process rice and save seeds for the next crop.

(Source: IRRI Odisha studies; Agronomyjournals.com, https://www.agronomyjournals.com/archives/2024/vol7issue5/PartA/7-4-153-880.pdf)

2.6 District-Level Variation

Odisha’s 30 districts show significant variation in women’s agricultural roles:

Coastal Odisha (Puri, Cuttack, Balasore, Ganjam): More commercialized paddy cultivation, higher female agricultural labor participation. Ganjam has the highest proportion of female agricultural labourers. Women in coastal districts have relatively stronger information networks, accessing TV, training, demonstrations, and field days. (Source: ResearchGate, Assessment of Socio-economic Status of Coastal Farm Women, https://www.researchgate.net/publication/390028217)

Western Odisha (Kalahandi, Bolangir, Nuapada, Bargarh, Sambalpur): Characterized by dryland/rainfed farming, higher rates of male migration to Surat/Gujarat, and consequently higher dependence of women on MGNREGA. These are the districts where the state provides 300 days of guaranteed work. Women’s agricultural labor here is more subsistence-oriented.

Southern/Tribal Odisha (Koraput, Rayagada, Malkangiri, Gajapati, Mayurbhanj): Tribal-dominated districts with focus on shifting cultivation (podu), forest produce collection, millets, and horticulture. Tribal women’s economic roles here are qualitatively different from mainstream agricultural feminization --- they have historically been active economic agents in community-based resource management.

Key difference: Farm women in tribal areas have relatively weaker information networks compared to coastal farm women, with higher occupational mobility in coastal districts. (Source: Springer, Gender and Agriculture: Cases of Woman Participation in Rural Odisha, https://link.springer.com/chapter/10.1007/978-981-16-6952-1_4)

3. MGNREGA --- Gendered Data

3.1 Women’s Participation in Odisha MGNREGA

MGNREGA mandates that at least one-third (33%) of person-days must be generated for women. Nationally, women’s participation reached 58.8% of total person-days in 2023-24 --- the highest in a decade. (Source: The Print, https://theprint.in/india/womens-participation-in-mgnregs-hits-10-yr-high-at-58-8-meghalaya-up-see-biggest-spikes/2026112/)

Odisha-specific data:

2008-09 to 2012-13: Women’s participation was between 35-40% of person-days. (Source: BehanBox, https://behanbox.com/2024/05/27/why-not-enough-women-are-benefitting-from-odishas-rural-employment-boost/)
2021-22: The highest proportion of women person-days at 46%. (Source: BehanBox/The Statesman)
2022-23 to 2023-24: Women’s participation increased by 0.05 to over 2 percentage points from the previous year. (Source: Data.gov.in, https://www.data.gov.in/resource/stateut-wise-details-rate-participation-women-mahatma-gandhi-national-rural-employment)
Of total registered workers in Odisha, 46% are women, but approximately 13 lakh women are registered but not actively working under the scheme. (Source: The Statesman, https://www.thestatesman.com/cities/bhubaneshwar/women-participation-mgnrega-lower-males-odisha-1503077478.html)

3.2 How Odisha Compares

State/Region	Women’s % of Person-Days (2023-24)	Notes
Kerala	~89-90%	Consistently highest over past decade
Tamil Nadu	86.66%	Second highest
National Average	58.8%	10-year high in 2023-24
Odisha	~44-46%	Below national average but above 33% mandate
UP, Gujarat, Meghalaya	Significant recent increases	Among states showing biggest spikes

(Sources: The Print; Data.gov.in; Rau’s IAS, https://compass.rauias.com/current-affairs/women-in-mgnregs/)

Odisha’s women’s participation in MGNREGA lags significantly behind southern states but meets the statutory minimum. The gap reflects both structural barriers (digital attendance requirements, bank access issues) and demand-side constraints (women’s time poverty due to care work).

3.3 Wage Parity Under MGNREGA

MGNREGA is one of the few programs that mandates equal wages for men and women for equal work. The Act offers the same wage rate regardless of gender.

In Odisha, the average MGNREGA wage rate was Rs 248.31 per day in 2023-24, up from Rs 220.84 in the previous year. (Source: BehanBox)
MGNREGA contributed to the rapid rise in overall rural and agricultural wages nationally, and helped reduce the gender pay gap both directly (for participating women) and indirectly (by pushing up wages for women in agricultural occupations). (Source: ILO study, https://www.ilo.org/media/420981/download)
The significance: since few other employment programs provide genuinely equal wages, women flock to MGNREGA in large numbers --- 59.25% of workers nationally in the latest fiscal year were women. (Source: Scroll.in, https://scroll.in/article/1031636/how-the-rural-employment-guarantee-scheme-is-a-double-edged-sword-for-women)

However, wage parity in law does not translate to equal hours or equal access. Women in Odisha face specific barriers including digital attendance challenges, distance to work sites, and difficulty withdrawing payments from banks.

3.4 MGNREGA as a Lifeline During Male Migration

MGNREGA takes on particular importance in migration-affected districts:

In western Odisha districts (Balangir, Bargarh, Kalahandi, Nuapada), where male seasonal migration is highest, the state government provides 300 days of guaranteed work (100 mandatory + 200 additional at state cost). (Source: Down To Earth, https://www.downtoearth.org.in/governance/checking-migration-odisha-extends-mgnrega-supplementary-job-guarantee-to-10-tribal-blocks-92971)
Average workdays for women in these districts: Nuapada (78.47), Kalahandi (67.76), Bargarh (67.24), Balangir (57.3). These are above the state average. (Source: Quest Journals, https://www.questjournals.org/jrhss/papers/vol12-issue2/12028894.pdf)
By 2022, the additional workdays were revised upward to 200, explicitly to check migration from the KBK (Kalahandi-Bolangir-Koraput) region.

The pattern: when men leave for Surat and Kerala, MGNREGA becomes the primary source of cash income for women left behind. It functions not just as employment but as a survival buffer during the 6-8 months of male absence.

3.5 Districts with Highest Female MGNREGA Participation

District-level variation reflects both migration intensity and tribal population:

KBK districts (Kalahandi, Bolangir, Koraput, and surrounding districts) show highest absolute workdays for women, correlated with highest male out-migration.
Tribal districts (Mayurbhanj, Sundargarh, Keonjhar) show significant scheduled tribe participation in MGNREGA, with women constituting a large share. (Source: Sage Journals, From Exclusion to Inclusion: ST MGNREGA Workers in Odisha, https://journals.sagepub.com/doi/10.1177/2455328X251348984)
10 tribal blocks were specifically targeted for the extended MGNREGA-supplementary scheme to check migration. (Source: Down To Earth)

4. Unpaid Care Work

4.1 ILO Framework for Measuring Unpaid Care Work

The International Labour Organization’s framework for unpaid care work operates within the System of National Accounts (SNA):

The SNA production boundary (1993 and 2008 revisions) classifies some unpaid activities as “economic work” (within the boundary) and others --- household maintenance, cleaning, washing, cooking, shopping, caring for infants and children --- as “non-economic” and outside the boundary. (Source: ILO, https://www.ilo.org/media/340286/download)
Satellite accounts attempt to capture production outside SNA boundaries using time-use data. These household production satellite accounts assign monetary value to unpaid work that standard GDP accounting ignores. (Source: ILOSTAT, https://ilostat.ilo.org/topics/unpaid-work/measuring-unpaid-domestic-and-care-work/)
The ILO’s Statistical Standards and Methods Unit has developed light time-use measurement tools for attachment to Labour Force Surveys, building on international best practice and field testing. (Source: ILOSTAT, https://ilostat.ilo.org/topics/unpaid-work/)
Globally, the ILO estimates that unpaid care and domestic work is valued at 10-39% of GDP depending on country and methodology. At minimum wage valuation, it amounts to approximately 9% of global GDP, or US$11 trillion. (Source: ILO, https://www.ilo.org/resource/news/ilo-women-do-4-times-more-unpaid-care-work-men-asia-and-pacific)

4.2 NSSO Time Use Survey 2019: India Data

India’s first comprehensive Time Use Survey (TUS) was conducted by the National Statistical Organisation (NSO) between January and December 2019. Coverage:

138,799 households surveyed (82,897 rural + 55,902 urban)
447,250 persons aged 6+ surveyed across 36 states/UTs
Data collected through personal interviews about time use in the 24 hours preceding the interview

(Source: PIB, https://www.pib.gov.in/PressReleasePage.aspx?PRID=1660028; NSO TUS 2019)

4.3 Hours Per Day: Women vs. Men

The gender disparity in unpaid care work is staggering:

Indian women spend an average of 299 minutes per day (nearly 5 hours) on unpaid domestic work; men spend only 97 minutes (1.6 hours). (Source: ORF, https://www.orfonline.org/research/building-india-s-economy-on-the-backs-of-women-s-unpaid-work-a-gendered-analysis-of-time-use-data)
More broadly, women spend an average of 337 minutes per day (5.6 hours) on all forms of unpaid work, while men spend 104 minutes (1.7 hours). (Source: PIB/TUS 2019)
The average Indian woman spends 243 minutes (4 hours) on unpaid domestic work or caregiving --- approximately ten times the 25 minutes the average man does. (Source: Change in Content, https://www.changeincontent.com/time-use-survey-women-workload-inequality-india/)
Indian women spend eight times more hours on unpaid care work than men overall. (Source: ORF analysis)
Married women bear the heaviest burden: married females spend 8.6 times the time married males spend on unpaid work. (Source: ORF)
Women shoulder 84% of total time devoted to unpaid care work in India. (Source: Drishti IAS, https://www.drishtiias.com/daily-updates/daily-news-editorials/india-s-care-economy)

Rural vs. Urban:

In rural India, women spend 85.2% of their time on unpaid work, versus 26.5% for men. (Source: CEDA Ashoka, https://ceda.ashoka.edu.in/shifts-in-womens-and-mens-work-in-india-over-two-decades-evidence-from-time-use-surveys-1998-2019/)
Rural women spend nearly 6.5 hours every day on unpaid activities; urban women slightly over 6 hours. (Source: ORF)
Over 92% of women aged 15-59 participated in unpaid domestic services, against only 29% of men. (Source: IES Working Paper, https://www.ies.gov.in/pdfs/Vaibhav-Rathore-march25.pdf)

Activity breakdown:

Food preparation: 56% of average unpaid work time
Cleaning: 17%
Childcare: 11%

(Source: Factly, https://factly.in/data-nsos-time-use-survey-indicates-a-12-increase-in-daily-time-spent-on-culture-leisure-mass-media-and-sports-activities/)

4.4 Economic Value of Unpaid Care Work

Multiple estimates of the economic value exist:

Source	Estimate	Method
SBI Research (2023)	Rs 22.7 lakh crore (~7.5% of GDP)	Replacement cost method
PIB/NITI Aayog estimate	15-17% of GDP	Opportunity cost method
ORF analysis	3.1% of GDP (women’s unpaid work alone)	Minimum wage method
ILO-based estimate	39% of GDP (broader care economy)	Comprehensive valuation

(Sources: SBI Ecowrap report; PIB, https://static.pib.gov.in/WriteReadData/specificdocs/documents/2024/mar/doc202435319501.pdf; ORF; Drishti IAS)

The variation in estimates (3.1% to 39%) reflects different methodologies --- replacement cost (what would it cost to hire someone), opportunity cost (what the person could earn instead), and comprehensive care economy valuation.

4.5 How Unpaid Care Work Constrains Labor Force Participation

The causal chain:

Women perform 5-6.5 hours of unpaid domestic work daily, before any paid work.
This “time poverty” limits the hours available for paid employment.
Available paid work must be proximate (near the home) and flexible (allowing breaks for care duties).
This restricts women to low-paid, informal, or agricultural work that offers spatial flexibility.
The result: even when women “participate” in the labor force, they are concentrated in the lowest-productivity segments.

The constraint is circular: unpaid care work limits earning capacity, which limits the ability to hire care substitutes, which perpetuates the care burden.

4.6 The Double/Triple Burden

Rural women in Odisha face a documented triple burden:

Farm work: 75% of crop production activities, transplanting, weeding, harvesting, animal husbandry (roughly 4-6 hours during peak season)
Wage work: MGNREGA, agricultural wage labor, forest produce collection (3-6 hours)
Domestic/care work: Cooking, cleaning, childcare, water collection, firewood collection (5-6.5 hours)

The total can exceed 14-16 hours per day during peak agricultural seasons. Women farmers in Odisha working 3,300 hours per crop season (double male hours of 1,860) are simultaneously managing households. (Source: SRI4Women; IRRI Odisha study)

This triple burden is invisible in standard economic statistics. The LFPR counts the farm and wage work; it does not count the domestic labor that makes the other two possible.

5. The SHG Economy

5.1 Mission Shakti: Scale and Structure

Mission Shakti, launched on 8 March 2001 (International Women’s Day) by the Government of Odisha, is one of India’s largest women’s SHG programs:

~6 lakh Women Self-Help Groups (WSHGs) formed and nurtured
~70 lakh women members (approximately 7 million) --- covering a massive share of Odisha’s rural female population
Dedicated government department: Department of Mission Shakti (elevated from a scheme to a full department)

(Source: Mission Shakti portal, https://missionshakti.odisha.gov.in/about-us/overview; Odisha Plus, https://odisha.plus/2026/03/women-of-odisha-driving-change-empowerment-mission-shakti/)

5.2 Economic Activities Enabled

SHGs have catalyzed diverse livelihood activities:

Savings and credit: The core function. SHGs operate as affinity-based savings and credit groups with regular meetings, internal lending, and bookkeeping. (Source: Mission Shakti FAQs, https://missionshakti.odisha.gov.in/more/msd-FAQs)
Food processing: 1,844 WSHGs involved in millet processing --- 611 operating thresher machines, 24 running Ragi (2-deck) processing units, 8 running Ragi (3-deck) units, 716 operating pulverizer machines. (Source: MSSRF/UN India, https://www.mssrf.org/our-stories/empowering-rural-women-through-millets-odishas-mission-shakti-revolution)
Retail and marketplace: Subhadra Shakti Cafes, Subhadra Shakti Bazaars, and retail marts providing platforms for product sales. (Source: Odisha Plus)
Other activities: Tailoring, handicrafts, mushroom cultivation, goat-rearing, grocery shops, small service units. (Source: IIPA evaluation, https://www.iipa.org.in/publication/public/uploads/article/28881684491573.pdf)
Community services: Subsidized food provision, water measurement, restoration of urban common spaces. (Source: Down To Earth, https://www.downtoearth.org.in/governance/women-s-day-2024-in-odisha-they-provide-subsidised-food-measure-water-restore-common-urban-spaces-94888)

5.3 SHG Bank Linkage: Odisha Data

National SHG-Bank Linkage Programme (2023-24):

144.22 lakh SHGs savings-linked nationally, covering 17.75 crore families
77 lakh SHGs credit-linked with loans outstanding of Rs 2,59,663.73 crore
Average loan outstanding per SHG: Rs 3.35 lakh (up from Rs 2.70 lakh, a 24% growth)
NPA reduced to 4.7% as of March 2024
44% increase in loan disbursement year-on-year
Top states by disbursement: Andhra Pradesh (Rs 59,777 crore), Karnataka (Rs 25,253 crore), Telangana (Rs 20,932 crore), West Bengal (Rs 20,671 crore)

(Source: NABARD SHG BLP Highlights 2023-24, https://www.nabard.org/auth/writereaddata/File/highlights-of-the-shg-bank-linkage-programme-2023-24.pdf; NABARD SOMFI 2023-24, https://www.nabard.org/auth/writereaddata/tender/0808244223NABARD-SOMFI%20%20%20%20%20%20%20%2020232024%20%20%20%20%20%2030072024.pdf)

Odisha-specific indicators:

Mission Shakti provides loans at 0% effective interest rate to all SHGs for loans up to Rs 3 lakh on prompt repayment, through the Mission Shakti Loan --- State Interest Subvention scheme. (Source: Mission Shakti portal, https://missionshakti.odisha.gov.in/programme/mission-shakti-loan-state-interest-subvention/)
Average loan per WSHG in Odisha: approximately Rs 96,899 against average savings of Rs 50,360. (Source: IIPA/NABARD study, https://www.nabard.org/auth/writereaddata/tender/2009161409QualitySustainabilityofSHGsinBiharandOdisaE.pdf)
In KBK districts, participation brought significant changes: regular savings (97.96% of members), increase in income (87.24%), improvement in living standard (85.71%), participation in group meetings (81.63%). (Source: IIPA evaluation)

5.4 Average Savings, Loans, and Repayment

Metric	Odisha WSHGs	National Average
Average savings per SHG	~Rs 50,360	Higher in southern states
Average loan per SHG	~Rs 96,899	Rs 3.35 lakh (national credit-linked average)
Interest rate (Mission Shakti)	0% (on prompt repayment, up to Rs 3 lakh)	Varies by state
NPA rate (national)	---	4.7% (March 2024)
Members reporting income increase	87.24% (KBK)	---

(Sources: NABARD; IIPA; Mission Shakti portal)

5.5 Limitations: Micro Remains Micro

Despite impressive coverage, SHG-based enterprises face persistent constraints:

Scaling barrier: “Only a few self-help groups are able to raise themselves from a level of micro-credit to micro-enterprise.” (Source: NIRDPR concept paper, https://nirdpr.org.in/nird_docs/other/ConceptNote_03_02_2023.pdf)
Access barriers: Lack of suitable financial products for growth, lack of access to markets, technology, business skills, mentoring, and customized business development services. (Source: NIRDPR)
Gender-specific barriers: Small businesses run by women have a harder time mobilizing business loans, especially those run by unmarried women. (Source: IIPA study)
Institutional weakness: Coastal fishing community SHGs lack voice, confidence, basic administrative skills, and capacity to negotiate with rural banks and marketing agencies. (Source: NABARD quality study)
Scale of lending: Average loan of Rs 96,899 per SHG in Odisha is far below the Rs 3.35 lakh national credit-linked average, suggesting Odisha’s SHGs access significantly less credit.
100% income increase reported but small absolute numbers: While all surveyed members reported income increases, the base income is so low that even a doubling represents marginal economic improvement.
Dependence on subsidy: The 0% interest rate is made possible through state interest subvention --- the model’s sustainability depends on continued fiscal support.

The structural pattern: Mission Shakti has achieved massive coverage (6 lakh groups, 70 lakh women) but the economic transformation at the individual level remains modest. Most SHG activities are in low-value segments (small food processing, handicrafts, petty retail) rather than higher-value manufacturing or services.

6. Migration and the Residual Labor Force

6.1 When Men Leave: The Ganjam-Surat Corridor

The Ganjam-Surat migration corridor is among India’s most established:

An estimated 7 lakh migrants from Ganjam district work in Surat’s powerloom industry. (Source: Scroll.in, https://scroll.in/article/1077346/ganjam-to-surat-caste-is-the-gateway-to-a-better-life-for-migrant-labourers)
The corridor has existed for over 80 years. (Source: The Migration Story, https://www.themigrationstory.com/post/of-caste-climate-and-the-creation-of-one-of-india-s-busiest-migration-corridors)
Migration is caste-structured: different castes enter different segments of the Surat economy. (Source: IndiaSpend, https://www.indiaspend.com/welfare/how-caste-shapes-migration-from-ganjam-935705)
Less than 20% of migration is seasonal (under 6 months); the vast majority of migrants stay at destinations for longer than 6 months. (Source: Gram Vikas, https://www.gramvikas.org/wp-content/uploads/2021/09/Jagannathprasad-Block-Migration-Profile-Final-Web-9-Sept-21.pdf)
Census 2011: approximately 33.7% of rural males migrate for employment nationally. For rural females, it is only 3.6%. (Source: Economic Survey 2017-18 via PIB)

The village reality: “Women, the elderly and children are left behind in the villages of Ganjam, as men from most villages migrate to Surat and Kerala for work. For much of the year, it is just women, the elderly, and children who live in these homes.” (Source: IDR, https://idronline.org/article/livelihoods/how-migration-is-changing-villages-in-odisha/)

6.2 Fallow Land and the Connection to Male Out-Migration

Odisha has vast underutilized agricultural land:

908,000 hectares of current fallow land as reported in 2023. (Source: CEIC, https://www.ceicdata.com/en/india/agricultural-land-type-of-use-odisha/agricultural-land-odisha-type-of-use-fallow-land-current-fallow)
During TE2012-13, fallow land had reached 1.1 million hectares, about 7% of total geographical area. (Source: ICRIER Working Paper 337, https://icrier.org/pdf/Working_Paper_337.pdf)
Approximately 2.1 million hectares of rice fallow remains unutilized during the rabi season, with about 1 million hectares conducive for pulses and oilseeds. (Source: Down To Earth, https://www.downtoearth.org.in/agriculture/how-odisha-is-promoting-climate-resilient-agriculture-through-rice-fallow-initiative-95363; CGIAR, https://www.cgiar.org/news-events/news/achieving-critical-mass-for-the-greening-of-rice-fallows-in-odisha/)
Gross cropped area declined from 9.6 million ha (TE1992-93) to 8.5 million ha (TE2016-17). (Source: ICRIER)

The connection to migration: the state’s Comprehensive Rice Fallow Management (CRFM) Programme explicitly identifies seasonal migration as a social barrier alongside fragmented landholdings and low farmer awareness. (Source: IFPRI/Down To Earth)

6.3 Women Managing Farms Without Authority

The paradox of agricultural feminization in migration-affected areas:

Women become de facto farm managers but without formal authority over land, credit, or institutional support.
Although land is in men’s names, women make day-to-day agricultural decisions during male absence --- but cannot access institutional credit (which requires land title as collateral).
“Women manage work at both household and farm levels, including maintaining livestock, selling milk and other produce… But they are never recognized enough and continue to be marginalized in terms of land ownership.” (Source: Mongabay India)
Only 3.3% of land in Odisha is in women’s names (World Bank study), making it structurally impossible for women to access credit in their own right.

6.4 Seasonal Patterns

The agricultural-migration calendar in Odisha:

Season	Period	Men’s Activity	Women’s Activity
Kharif (monsoon)	June-November	Some return for sowing; many remain at destinations	Full agricultural cycle: transplanting, weeding, harvesting
Rabi (winter)	November-March	Peak migration period; men at Surat/Kerala	Sole operators of farm + household
Pre-monsoon	April-May	Some begin returning; preparation for next cycle	MGNREGA work; forest produce collection; domestic work

The rabi season, when 2.1 million hectares of rice fallow lies idle, is precisely when men are most likely to be absent. Women could theoretically cultivate pulses/oilseeds on this fallow land but lack the capital, inputs, and institutional support to do so.

6.5 The Paradox: Increased Responsibility Without Increased Rights

This is the core structural contradiction:

Male out-migration increases women’s agricultural responsibility (they become sole operators of farms)
But it does not increase their rights (land remains in men’s names, institutional credit remains inaccessible, decision-making authority is not formally transferred)
Migration remittances are often controlled by male migrants or male family members who remain
Women bear the risk of agricultural failure (crop loss, weather events) without the authority to make strategic decisions (crop choice, input purchases, land use decisions)
The result: “feminization of agriculture” in Odisha is more accurately described as the feminization of agricultural labor and risk, without the feminization of agricultural ownership and authority

7. Tribal Women’s Economic Roles

7.1 Pre-Colonial Economic Participation

Tribal communities in Odisha --- including the Kondh, Saora, Gond, Santhal, Juang, Bonda, and Bhuiyan --- historically had more gender-egalitarian economic systems than caste Hindu communities:

Community-based life was the hallmark. Resources like land, water, and forests were traditionally held by the entire community, not by individuals. (Source: etribaltribune.com, https://www.etribaltribune.com/index.php/volume-5/mv5i2/development-and-tribal-women-of-odisha)
Tribal women played a major role in the tribal economy: working in agriculture, caring for animals, collecting forest produce, designing/creating rural crafts, and managing household affairs. (Source: IJRAR, https://www.ijrar.org/papers/IJRAR25D1011.pdf)
Among the Kondh, the economy was underpinned by communitarianism and reciprocity, with identity, knowledge systems, and production practices linked to ecological realities. (Source: SCST/Tribal Research, https://repository.tribal.gov.in/bitstream/123456789/74412/1/SCST_2015_book_0323.pdf)
Shifting cultivation (podu/dangar/bagad) was a community enterprise in which women played central roles. Tribal women stated: “Even if we don’t have our own land, we have the option of Podu or shifting cultivation; the green forests will give us roots, mangoes, mahua, sal leaves, flowers and seeds, hill brooms and firewood.” (Source: CPRC/IIPA Working Paper, https://assets.publishing.service.gov.uk/media/57a08ac840f0b652dd0008da/CPRC-IIPA-51.pdf)

7.2 Forest Product Collection: Women’s Economic Domain

Minor forest produce (MFP) / Non-Timber Forest Products (NTFP) collection is predominantly women’s work:

Key products collected: Sal seed, kendu leaves, lac, broom grass, bahada, harida, amla, karanj, mahua flowers, mushrooms, tubers, medicinal herbs, honey, tamarind, and wild vegetables. (Source: Phytojournal, https://www.phytojournal.com/archives/2019/vol8issue1/PartAO/8-1-392-280.pdf)
Forest resources contribute 40-60% of tribal household income in Odisha. (Source: ResearchGate/Academia, https://www.academia.edu/50890221/FOREST_BASED_LIVELIHOOD_AMONG_TRIBAL_WOMEN_IN_SOUTH_ODISHA_PROSPECTS_CONSTRAINTS_AND_POSSIBILITIES)
76.7% of respondents reported feeling “financially well” from selling forest products, helping them survive during times of crisis. (Source: arfjournals.com, https://www.arfjournals.com/image/catalog/Journals%20Papers/SCDI/2024/No%202%20(2024)/6_SN%20Tripathy.pdf)
68.6% of tribal women report annual income from forest products between Rs 20,000-50,000. (Source: Academia/IJMRA, https://www.ijmra.us/project%20doc/2018/IJRSS_SEPTEMBER2018/IJMRA-14414.pdf)
Women-led FPOs pay Rs 40/kg for mahua flowers versus Rs 10/kg from private traders --- but total annual income from this work remains only Rs 30,000-40,000. (Source: ETV Bharat, https://www.etvbharat.com/en/!state/tribal-women-struggle-for-fair-mahua-prices-in-balangir-odisha-mahula-flowers-middlemen-enn25041701534)
Forest provides year-round products; women collect and sell in nearby markets. It acts as a “backbone” for tribal livelihoods. (Source: Phytojournal)

7.3 Shifting Cultivation and Women’s Roles

Among Odisha’s 62 tribal communities, several practice shifting cultivation:

Traditional shifting cultivators: Bonda, Didayi, Juang, Dongria Kondh, Kutia Kondh, Lanjia Saora, Paudi Bhuyan, and Saora. (Source: SCST/PTG ethnography)
The Saora and Lanjia Saora are terrace cultivators; the Dongria Kondh are horticulturists (growing jackfruit, banana, pineapple, turmeric on Niyamgiri hills).
Women’s roles in podu cultivation are central: clearing, planting, tending, harvesting --- often more extensive than men’s contributions.
Shifting cultivation names in Odisha: dangar, bagad, toila, rami, dabi, biringa. (Source: Odisha Review, https://magazines.odisha.gov.in/Orissareview/july2006/engpdf/76-84.pdf)

7.4 Colonial and Post-Colonial Disruption of Tribal Women’s Economic Autonomy

The trajectory of disruption:

Colonial period:

Forest Acts (1865, 1878, 1927) converted community forests into state property, criminalizing traditional access patterns that formed the basis of women’s economic activities.
The classification of shifting cultivation as “destructive” undermined a system in which women were central economic agents.
Revenue settlement systems imposed individual (male) land ownership on communities that had practiced collective resource management.

Post-colonial period:

Forest conservation policies continued to restrict tribal access to traditional forest resources.
The Forest Rights Act (2006) was meant to correct this, but implementation has been uneven --- 72% of community forest rights claims were rejected nationally. (Source: Reference from SeeUtkal’s tribal-odisha research series)
Mining and industrialization displaced tribal communities from resource-rich areas, destroying the forest-based economic systems in which women were primary agents.
The changes “particularly affected the rights and status of Kondh women, considering their high dependence on forest for food, fodder, and livelihood.” (Source: Cartier Philanthropy, https://www.cartierphilanthropy.org/news/odisha-s-generous-forest)

7.5 Current Economic Status: Tribal Women vs. Mainstream Odia Women

Key distinctions:

Dimension	Tribal Women	Mainstream Odia Women
Historical economic role	Active economic agents in community-based systems	More constrained by patriarchal norms
Land system	Community-based (Khuntkattidar/collective)	Individual (predominantly male-titled)
Primary economic activity	Forest produce + shifting cultivation + settled agriculture	Settled agriculture + wage labor
Formal recognition	Even less likely to appear in formal statistics	Partially captured in PLFS
Income sources	Forest produce (40-60% of income), agriculture, MGNREGA	Agriculture, MGNREGA, SHG enterprise
Key vulnerability	Loss of forest access through policy/mining	Loss of men through migration
SHG participation	Growing but institutional barriers remain	Mission Shakti coverage extensive

Tribal women have historically had greater economic agency within their communities but are more vulnerable to external disruption (forest policy, mining, displacement). Mainstream Odia women have historically had less economic agency but are embedded in institutions (markets, banks, government programs) that are slowly expanding access.

8. Comparative Analysis

8.1 Kerala: High Literacy, Paradoxical Outcomes

The paradox: Kerala has the highest female literacy in India --- 92% (Census 2011) versus a national average of 65% --- yet one of the lowest female labor force participation rates.

Female LFPR: approximately 29.9% (April-June 2024) for women aged 15+. (Source: CPPR, https://www.cppr.in/articles/keralas-patriarchal-dominance-and-low-female-workforce-participation)
Male LFPR: 70%. The gap is explained not by inability but by job aspiration mismatch: educated women seek specific types of employment (formal sector, government, professional) and there are insufficient opportunities meeting those criteria. (Source: PAA 2006, https://paa2006.populationassociation.org/papers/60878)
In rural Kerala, 39% of women are in agriculture/forestry/fishing, far below the national average of 75%, followed by 12% in manufacturing. (Source: IWWAGE Kerala factsheet, https://iwwage.org/wp-content/uploads/2023/01/KERALA_Factsheet_9_jan.pdf)
Kerala’s economy is service-sector dominated, offering better working conditions but fewer positions for the educated female workforce.

Lesson for Odisha: High literacy does not automatically translate to high LFPR. What matters is the availability of employment that matches the aspirations of educated women. Odisha’s higher LFPR partly reflects the absence of choice --- women work because they must, not because appropriate opportunities exist.

8.2 Tamil Nadu: Industrial Employment for Women

Tamil Nadu has built India’s most feminized factory workforce:

42-43% of India’s 14.9 lakh registered female factory workers work in Tamil Nadu alone (2021-22 Annual Survey of Industries). (Source: The Print, https://theprint.in/india/43-of-1-6-million-women-factory-workers-in-india-work-in-tamil-nadu-alone-finds-study/1358869/)
Women constitute 75-80% of workforce in auto components, electronics, and garment industries. (Source: ICRIER, https://icrier.org/epwd/blog/labour/beyond-enhanced-incomes-to-empowerment-perspectives-from-tamil-nadus-feminised-industrial-workforce)
64% of women in Tamil Nadu work in service and manufacturing sectors (versus national average of 43%). (Source: Eurasia Review, https://www.eurasiareview.com/11042025-tamil-nadus-women-workforce-a-paradox-of-progress-and-persistent-challenges-analysis/)
Key sectors employing women: garments/knitwear, textiles, electronics, footwear, salt pans, and fireworks (where women are 70% of workers). (Source: IndiaSpend, https://www.indiaspend.com/women/fire-other-hazards-face-women-in-tamil-nadus-fireworks-hub-739953)

Key difference from Odisha: Tamil Nadu’s female employment is in manufacturing and formal services, not subsistence agriculture. This means higher wages, more regular income, and (theoretically) better labor protections. Odisha’s female employment is overwhelmingly agricultural, informal, and often unpaid.

What Odisha would need: An industrial base that employs women --- food processing (leveraging agricultural produce), garments (leveraging existing SHG textile skills), or electronics assembly. This does not currently exist at scale.

8.3 Andhra Pradesh: The SERP/IKP SHG Model

Andhra Pradesh’s SHG model through SERP (Society for Elimination of Rural Poverty) and IKP (Indira Kranthi Patham, later Velugu) is widely considered India’s most successful women’s poverty reduction program:

48 lakh women organized into 3.7 lakh SHGs in rural areas
SHGs federated into 28,080 Village Organizations and 700 Mandal Samakhyas (block-level federations)
Groups built a corpus of Rs 750 crore from savings, bank borrowings, and government revolving funds
1.2 million women purchased life insurance through the program
SERP implemented across all 656 rural Mandals in 26 rural districts

(Source: World Bank/ICRW, https://www.icrw.org/wp-content/uploads/2018/11/Velugu-SERP-Model-Documentation.pdf; World Bank Feature, https://www.worldbank.org/en/news/feature/2011/07/04/india-women-empowerment)

Impact evidence: A 2011 World Bank study found IKP had direct positive impacts for the poorest, including increased consumption, improved nutrition, asset accumulation, and education expenditure --- over and above the impact of MGNREGA. (Source: ResearchGate, https://www.researchgate.net/publication/261803671)

AP leads nationally in SHG credit: Rs 59,777 crore in loan disbursement in 2023-24 --- more than double any other state. (Source: NABARD SOMFI 2023-24)

Comparison with Odisha’s Mission Shakti:

Dimension	Andhra Pradesh (SERP/IKP)	Odisha (Mission Shakti)
SHGs formed	3.7 lakh	6 lakh
Women covered	48 lakh	70 lakh
Federation structure	Three-tier (SHG → VO → Mandal Samakhya)	Less formalized federation
Average credit per SHG	Among national highest	Rs 96,899 (below national average)
Interest subvention	Varies	0% on prompt repayment (up to Rs 3 lakh)
World Bank involvement	Major (IKP was World Bank-funded)	Limited
Enterprise scale	Some larger enterprises emerged	Mostly micro-scale

Key lesson: Odisha has more SHGs and more women covered than Andhra Pradesh, but AP’s SHGs access significantly more credit and have stronger institutional federation structures. Scale of coverage is not the binding constraint --- depth of economic transformation per group is.

8.4 Bihar: Similar Constraints, Different Outcomes

Bihar shares several structural features with Odisha:

High male out-migration
Agricultural dominance
Low industrialization
Patriarchal social norms

Yet Bihar’s female LFPR outcomes differ:

Bihar had a rural female LFPR of just 3.9% in 2017-18, rising to 23.3% in 2022-23 --- a nearly 6x increase but from an extremely low base. (Source: EACPM Working Paper)
Bihar’s gender gap in LFPR is 55.8 percentage points --- the widest in India. (Source: EACPM)
Social norms are a primary constraint: “Families in Bihar do not want to send their unmarried female household members into the labour market, succumbing to the social belief that doing so degrades the social value of the household.” (Source: EPW, https://www.epw.in/journal/2023/30/special-articles/explaining-u-curve-trend-female-labour-force.html)
Only 9.5% of Bihar’s workers are in wage/salaried employment, with only 7.6% of the female workforce in salaried jobs. (Source: EACPM)

Why Odisha is different from Bihar:

SHG ecosystem: Mission Shakti’s 6 lakh groups have normalized women’s economic participation in ways Bihar’s JEEViKA program has not yet achieved at the same scale.
Social norms: While patriarchal, Odisha’s norms around women’s work are less restrictive than Bihar’s. Census 2011 already showed 57.8% of Odisha’s female workers as agricultural labourers.
Migration patterns: Odisha’s longer-established migration corridors (Ganjam-Surat: 80+ years) have created a deeper structural adaptation where women’s agricultural role is accepted as economic reality.
MGNREGA implementation: Odisha’s 300-day guarantee in distressed districts specifically targets women’s employment.

8.5 What Odisha Can Learn and What Is Structurally Different

From Kerala: Invest in women’s education and skills --- but also ensure the economy generates jobs that educated women can take. Without matching industrial/service sector development, education alone may increase the aspiration-reality gap.

From Tamil Nadu: Build women-employing manufacturing sectors. Food processing (leveraging Mission Shakti SHG networks), textiles/garments, and light manufacturing could absorb women into higher-productivity work. Requires industrial policy specifically targeting women’s employment.

From Andhra Pradesh: Strengthen SHG federation structures and dramatically increase credit access. Odisha’s SHGs access less than one-third the credit per group compared to the national average. The SERP model’s three-tier federation with professional management enabled larger economic activities.

From Bihar (as cautionary tale): Social norms can be a harder barrier than economic structure. Odisha’s relative advantage in normalizing women’s work should not be taken for granted --- it must be actively reinforced through policy and cultural change.

What is structurally unique about Odisha:

The combination of massive male out-migration + extensive SHG coverage + large tribal population creates a unique labor market configuration not replicated in any comparator state.
The fallow land opportunity (2.1 million hectares in rabi season) exists specifically because of the migration-agricultural feminization nexus.
The tribal dimension --- with 22.85% ST population and historically different gender-economic norms --- adds complexity that comparator states (except possibly Jharkhand) do not share.

9. Key Data Tables

Table 1: Odisha Female LFPR/WPR Trend

Year	Odisha Female WPR (Usual Status, 15+)	National Female LFPR (Usual Status, 15+)
2017-18	~25-28% (estimated)	23.3%
2018-19	---	24.5%
2019-20	---	30.0%
2020-21	---	32.5%
2021-22	31.4%	32.8%
2022-23	43.6%	37.0%
2023-24	48.0%	41.7%

Sources: PLFS Annual Reports via PIB; MoSPI press notes

Table 2: State-Wise Female LFPR Comparison (Latest Available)

State	Female LFPR/WPR (%)	Key Characteristic
Sikkim	~69.5%	Highest in India
Himachal Pradesh	~60%+	High rural participation
Odisha	~48.0-48.7%	Above national avg; agriculture-driven
Tamil Nadu	~42%+	Manufacturing + service sector driven
National Average	~40.3-41.7%	Rising steadily
Andhra Pradesh	~40%+	SHG-driven; lowest gender gap
Bihar	~34.1%	Fastest growth from lowest base
Kerala	~29.9%	Paradox: high literacy, low LFPR
Delhi	~17-20%	Urban, service-oriented

Sources: PLFS 2022-23 and 2023-24; EACPM Working Paper; CEDA Ashoka

Table 3: Women’s Agricultural Work and Land Ownership

Indicator	Odisha	National
Female agricultural labourers (% of female workers, Census 2011)	57.8%	42.6% of agri labourers are women
Land owned by women	3.3%	~13%
Women operational holders (Ag Census 2015-16)	---	13.87%
Women’s share of operated area	---	11.72%
Women performing 75%+ of crop production	Yes	Yes (national)
Women performing 95% of animal husbandry	Yes	Yes (national)

Sources: Census 2011; World Bank; Agricultural Census 2015-16; FAO

Table 4: MGNREGA Women’s Participation

State/Region	Women’s % of Person-Days	Notes
Kerala	89-90%	Consistently highest
Tamil Nadu	86.66%	Second highest
National Average	58.8% (2023-24)	10-year high
Odisha	44-46%	Below national avg, above mandate
Mandatory minimum	33%	MGNREGA Act requirement

Sources: MGNREGA portal; Data.gov.in; The Print; BehanBox

Table 5: Unpaid Care Work --- Gender Disparity

Indicator	Women	Men	Ratio
Time on unpaid domestic work (avg minutes/day)	299	97	3.1:1
Total unpaid work (avg minutes/day)	337	104	3.2:1
Participation in unpaid domestic services (15-59 yrs)	92%	29%	3.2:1
Time ratio (married persons)	8.6x	1x	8.6:1
Share of total unpaid care work	84%	16%	5.3:1

Sources: NSSO TUS 2019; ORF; PIB

Table 6: Mission Shakti and SHG Data

Indicator	Odisha (Mission Shakti)	National (SHG-BLP)
Total SHGs	~6 lakh	144.22 lakh
Women members	~70 lakh	~17.75 crore families
Average savings per SHG	Rs 50,360	---
Average loan per SHG	Rs 96,899	Rs 3.35 lakh
Interest rate	0% (Mission Shakti Loan)	Varies
SHGs credit-linked (national %)	---	53.68% of savings-linked
Total credit outstanding (national)	---	Rs 2,59,663.73 crore
NPA rate (national)	---	4.7%

Sources: Mission Shakti portal; NABARD SOMFI 2023-24

Table 7: Rice Fallow and Agricultural Land Use

Indicator	Data
Current fallow land (2023)	908,000 hectares
Rice fallow (rabi season)	~2.1 million hectares
Rice fallow suitable for pulses/oilseeds	~1 million hectares
Gross cropped area decline	9.6m ha (1992-93) to 8.5m ha (2016-17)
CRFM coverage achieved (2023-24)	382,000 hectares (target: 400,000)

Sources: CEIC; ICRIER; Down To Earth; CGIAR

Table 8: Tribal Women’s Forest-Based Income

Indicator	Data
Forest income as % of tribal household income	40-60%
Annual income from forest products (majority)	Rs 20,000-50,000
Women reporting financial benefit from forest sales	76.7%
Key products	Sal seed, kendu leaves, mahua, amla, lac, honey
FPO price for mahua (per kg)	Rs 40
Private trader price for mahua (per kg)	Rs 10

Sources: Academia/IJMRA; arfjournals.com; ETV Bharat; Phytojournal

10. Sources and References

End of research compilation. This document contains approximately 90 cited sources across government reports, academic papers, ILO/FAO/World Bank publications, NABARD data, Landesa surveys, and credible journalism. All data points are attributed. This serves as source material for the “Women’s Odisha” chapter series and should be cross-referenced with existing SeeUtkal research on migration (full_read/the-leaving/), value chains (full_read/value-chain/), tribal Odisha (full_read/tribal-odisha/), and the political-economic arc (full_read/the-long-arc/).

Cited in

The narrative series that build on this research.

Narrative series Women's Odisha The invisible half — gendered economy, SHGs, health, family resistance, education thresholds, the digital shift.