State-Level Poverty, Employment and Human Development Indicators

India’s state-level indicators show sharp differences in poverty, jobs, and human development. These variations help identify where progress is fastest, where deprivation remains deep, and where policy support needs to be targeted.

Official tools such as NITI Aayog’s National Multidimensional Poverty Index (MPI), the Periodic Labour Force Survey (PLFS), and the SDG India Index are widely used to compare outcomes across states and Union Territories.

National Multidimensional Poverty Index

NITI Aayog is the nodal agency for India’s National MPI, prepared using the Alkire-Foster methodology. It captures non-income poverty by measuring simultaneous deprivation across three broad dimensions, each given equal weight.

• Health (1/3 weight): Nutrition, Child and Adolescent Mortality, and Antenatal Care.
• Education (1/3 weight): Years of Schooling and School Attendance.
• Standard of Living (1/3 weight): Cooking Fuel, Sanitation, Drinking Water, Electricity, Housing, Assets, and Bank Accounts.

A household is counted as multidimensionally poor when its deprivation score is 33.33% or more of the weighted indicators. The index is based on National Family Health Survey (NFHS) data and includes 12 indicators, with Antenatal Care and Bank Accounts added in the Indian framework.

State Trends in Multidimensional Poverty

The National MPI progress review shows a broad fall in non-income poverty across states and Union Territories. The decline has been especially visible in poorer states, even though regional gaps remain large.

• Lowest poverty: Kerala (0.55%) has the lowest headcount ratio of multidimensional poverty, followed by Goa (0.84%), Tamil Nadu (1.76%), and Sikkim (2.60%).
• Highest poverty: Bihar records the highest multidimensionally poor population at 33.76%, followed by Jharkhand (28.81%), Meghalaya (27.79%), and Uttar Pradesh (22.93%).
• Fastest decline: Uttar Pradesh, Bihar, Madhya Pradesh, Odisha, and Rajasthan recorded the largest absolute reduction in the number of multidimensionally poor people.
• Rural-urban gap: Rural multidimensional poverty fell from 32.59% to 19.28%, while urban poverty declined from 8.65% to 5.27%.

Employment Indicators and Labour Market Patterns

The National Statistical Office (NSO) measures labour market outcomes through the Periodic Labour Force Survey. The main indicators used for state comparisons are LFPR, WPR, and unemployment rate.

• Labour Force Participation Rate (LFPR): Percentage of persons in the labour force, meaning those working or seeking work, in the population.
• Worker Population Ratio (WPR): Percentage of employed persons in the total population.
• Unemployment Rate (UR): Percentage of unemployed persons among those in the labour force.

Employment patterns vary according to industrial structure, literacy, and dependence on agriculture.

• Female LFPR leaders: Himachal Pradesh, Chhattisgarh, and Sikkim report high female labour force participation, exceeding 50% in rural areas.
• Low unemployment states: Gujarat, Maharashtra, and Karnataka record lower unemployment than the national average, supported by manufacturing and services.
• High youth unemployment: Goa, Kerala, and Jammu & Kashmir show higher youth unemployment among educated youth, reflecting mismatch between skills and local job creation.
• Sectoral pattern: Agriculture remains the main employer in Chhattisgarh, Bihar, and Madhya Pradesh, while services dominate in Delhi, Goa, and Kerala.

Human Development and SDG Performance

The sub-national Human Development Index measures progress across three dimensions: a long and healthy life, knowledge, and a decent standard of living. It uses life expectancy at birth, mean and expected years of schooling, and Gross State Domestic Product per capita.

• High human development tier: Kerala, Goa, Chandigarh, and Delhi consistently rank at the top.
• Why Kerala leads: Early public health investment, universal literacy, and land reforms have supported its long-term performance.
• Upper-middle tier: Punjab, Himachal Pradesh, Tamil Nadu, Maharashtra, and Haryana fall in the medium or upper-middle category.
• Lower tier: Bihar, Jharkhand, Uttar Pradesh, and Madhya Pradesh remain at the lower end, although literacy and infrastructure growth has improved.

The SDG India Index tracks state and Union Territory performance across 16 Sustainable Development Goals. Composite scores are grouped as follows:

• Achiever: 100
• Front Runner: 65–99
• Performer: 50–64
• Aspirant: 0–49

• Front runners: Kerala, Tamil Nadu, Himachal Pradesh, and Goa consistently lead the rankings.
• Top movers: Assam, Uttar Pradesh, and Bihar have shown rapid improvement in SDG 1, SDG 6, and SDG 7.

Comparative State Snapshot

Key Prelims Takeaways

• NITI Aayog is the nodal agency for the National Multidimensional Poverty Index.
• Alkire-Foster methodology is used for India’s MPI calculation.
• Three equal dimensions of MPI are Health, Education, and Standard of Living.
• 33.33% deprivation score is the poverty cutoff for multidimensional poverty.
• Kerala has the lowest multidimensional poverty rate, while Bihar has the highest.
• PLFS is used by the NSO to measure LFPR, WPR, and unemployment rate.
• Kerala, Tamil Nadu, Himachal Pradesh, and Goa are consistent front runners on the SDG India Index.